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doi:10.18710/5DGE7C
|
GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'humanitarian logistics, multi-objective, temporary distribution centers, sudden-onset natural disasters, GAMS'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters' Description:'These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.' Subject:'Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.
|
Engineering
|
humanitarian logistics, multi-objective, temporary distribution centers, sudden-onset natural disasters, GAMS
|
doi:10.18710/5DGE7C
|
GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'humanitarian logistics, multi-objective, temporary distribution centers, sudden-onset natural disasters, GAMS'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters' Description:'These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.' Subject:'Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.
|
Social Sciences
|
humanitarian logistics, multi-objective, temporary distribution centers, sudden-onset natural disasters, GAMS
|
doi:10.18710/5XYALW
|
Icing Validation Database
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This database contains an overview of experimental datasets that can be used for the validation of ice prediction simulation methods. This database was generated for the 1st AIAA Ice Prediction Workshop, scheduled for 2021. The database contains entries on 71 experimental datasets in the literature. For each entry, a series of parameters have been identified, including the investigated geometries, Reynolds numbers, Mach numbers, icing envelopes.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'icing, ice protection system, IPS, UAV, UAS, unmanned aerial vehicle, unmanned aerial system, drone'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Icing Validation Database' Description:'This database contains an overview of experimental datasets that can be used for the validation of ice prediction simulation methods. This database was generated for the 1st AIAA Ice Prediction Workshop, scheduled for 2021. The database contains entries on 71 experimental datasets in the literature. For each entry, a series of parameters have been identified, including the investigated geometries, Reynolds numbers, Mach numbers, icing envelopes.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This database contains an overview of experimental datasets that can be used for the validation of ice prediction simulation methods. This database was generated for the 1st AIAA Ice Prediction Workshop, scheduled for 2021. The database contains entries on 71 experimental datasets in the literature. For each entry, a series of parameters have been identified, including the investigated geometries, Reynolds numbers, Mach numbers, icing envelopes.
|
Engineering
|
icing, ice protection system, IPS, UAV, UAS, unmanned aerial vehicle, unmanned aerial system, drone
|
doi:10.18738/T8/SZU18S
|
Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'1972-1990; 20th century; Cuban Revolution'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database' Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.
|
Agricultural Sciences
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1972-1990; 20th century; Cuban Revolution
|
doi:10.18738/T8/SZU18S
|
Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'1972-1990; 20th century; Cuban Revolution'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database' Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.
|
Arts and Humanities
|
1972-1990; 20th century; Cuban Revolution
|
doi:10.18738/T8/SZU18S
|
Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'1972-1990; 20th century; Cuban Revolution'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database' Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.
|
Engineering
|
1972-1990; 20th century; Cuban Revolution
|
doi:10.18738/T8/SZU18S
|
Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'1972-1990; 20th century; Cuban Revolution'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Fidel Castro Agricultural Building Inauguration Speeches, 1972-1990, from the Fidel Castro Speech Database' Description:'The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.' Subject:'Agricultural Sciences; Arts and Humanities; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The map was based on the Castro Speech Database, which is hosted in the Latin American Network Information Center (LANIC), LLILAS Benson Latin American Studies and Collections. The map includes a subset of 7 buildings that were inaugurated by Castro from July 1972 to July 1990. The agricultural buildings include several factories, one school, a community center, and a distribution center. The buildings were identified by their names and georeferenced. Out of the buildings identified, only 3 were not located: 2 of them were given a general location of a city or province and 1 was provided a location on the sea south of Cuba to represent visually the entire dataset.
|
Social Sciences
|
1972-1990; 20th century; Cuban Revolution
|
doi:10.18710/8O9ZV0
|
Replication data for : MultiPACK project_An integrated CO2 unit for heating, cooling and DHW installed in a hotel-Data from the field.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset provides data for a new heat pump unit intended to provide heating, cooling and hot water to a hotel and using CO2 as the working fluid. The heat pump was installed in mid-2018 in a hotel located in a touristic area in North Italy and open nearly all over the year. The unit can benefit from groundwater as a heat source or heat sink. The heat pump features a two-phase multi-ejector as an expansion device. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven. It is fully equipped with measurement instruments, data acquisition system and cloud data storage developed and tailored for the unit.The unit was developed, instrumented, installed and monitored within the H2020 MultiPACKthe project, which aims at building confidence in integrated heating, ventilation, air conditioning and refrigeration packages based on CO2 technology in high energy-demanding buildings.In this dataset, operational parameters and performance data will be presented, related to winterseason, thus to heating and domestic hot water service.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'cooling; heating; heat pump; integrated CO2; multi-ejector; refrigeration'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Replication data for : MultiPACK project_An integrated CO2 unit for heating, cooling and DHW installed in a hotel-Data from the field.' Description:'This dataset provides data for a new heat pump unit intended to provide heating, cooling and hot water to a hotel and using CO2 as the working fluid. The heat pump was installed in mid-2018 in a hotel located in a touristic area in North Italy and open nearly all over the year. The unit can benefit from groundwater as a heat source or heat sink. The heat pump features a two-phase multi-ejector as an expansion device. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven. It is fully equipped with measurement instruments, data acquisition system and cloud data storage developed and tailored for the unit.The unit was developed, instrumented, installed and monitored within the H2020 MultiPACKthe project, which aims at building confidence in integrated heating, ventilation, air conditioning and refrigeration packages based on CO2 technology in high energy-demanding buildings.In this dataset, operational parameters and performance data will be presented, related to winterseason, thus to heating and domestic hot water service.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This dataset provides data for a new heat pump unit intended to provide heating, cooling and hot water to a hotel and using CO2 as the working fluid. The heat pump was installed in mid-2018 in a hotel located in a touristic area in North Italy and open nearly all over the year. The unit can benefit from groundwater as a heat source or heat sink. The heat pump features a two-phase multi-ejector as an expansion device. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven. It is fully equipped with measurement instruments, data acquisition system and cloud data storage developed and tailored for the unit.The unit was developed, instrumented, installed and monitored within the H2020 MultiPACKthe project, which aims at building confidence in integrated heating, ventilation, air conditioning and refrigeration packages based on CO2 technology in high energy-demanding buildings.In this dataset, operational parameters and performance data will be presented, related to winterseason, thus to heating and domestic hot water service.
|
Engineering
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cooling; heating; heat pump; integrated CO2; multi-ejector; refrigeration
|
doi:10.18738/T8/T1XCT5
|
crude_low_ca_matrix_M1
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Fluid in place: crude oilCapillary number: lowFracture status: none, M1' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'microfluidics'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'crude_low_ca_matrix_M1' Description:'Fluid in place: crude oilCapillary number: lowFracture status: none, M1' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Fluid in place: crude oilCapillary number: lowFracture status: none, M1
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Engineering
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microfluidics
|
doi:10.18710/BG1QNG
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UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Vibration measurement'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.
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Computer and Information Science
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Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Vibration measurement
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doi:10.18710/BG1QNG
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UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Vibration measurement'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 1, 250 rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 250 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.Update - 3 January 2022: This dataset is now updated to use floating point values for shaft position data, which gives a much more accurate description of the shaft position.
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Engineering
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Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Vibration measurement
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doi:10.18710/SAIANK
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Carbon Dioxide Transportation Energy Model
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset comprises a model for the calculation of the energy consumption associated with the transportation of CO2, the basis data for the model, validation data and a set of sample results. The model is intended for use as part of the study of Carbon Capture and Storage (CCS) chain alternatives. A description of the method used to develop the model will be published separately. Instructions for use of the model are contained in the file 'Main'.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'CCS; CO2; Energy; Liquefaction; Pipeline; Transportation'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Carbon Dioxide Transportation Energy Model' Description:'This dataset comprises a model for the calculation of the energy consumption associated with the transportation of CO2, the basis data for the model, validation data and a set of sample results. The model is intended for use as part of the study of Carbon Capture and Storage (CCS) chain alternatives. A description of the method used to develop the model will be published separately. Instructions for use of the model are contained in the file 'Main'.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This dataset comprises a model for the calculation of the energy consumption associated with the transportation of CO2, the basis data for the model, validation data and a set of sample results. The model is intended for use as part of the study of Carbon Capture and Storage (CCS) chain alternatives. A description of the method used to develop the model will be published separately. Instructions for use of the model are contained in the file 'Main'.
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Engineering
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CCS; CO2; Energy; Liquefaction; Pipeline; Transportation
|
doi:10.21950/DM47HJ
|
Matlab Figures of the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM'
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset contains all the figures present in the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM' in .fig format, so they can be opened and used for comparison purposes.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Channel estimation; Differential modulation; High-mobility; Massive SIMO; Non-coherent'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Matlab Figures of the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM'' Description:'The dataset contains all the figures present in the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM' in .fig format, so they can be opened and used for comparison purposes.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
The dataset contains all the figures present in the article 'Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM' in .fig format, so they can be opened and used for comparison purposes.
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Engineering
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Channel estimation; Differential modulation; High-mobility; Massive SIMO; Non-coherent
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doi:10.18710/CHYUQX
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Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Corrosion; Iron; Materials Science; Photocorrosion'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'' Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.
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Chemistry
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Corrosion; Iron; Materials Science; Photocorrosion
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doi:10.18710/CHYUQX
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Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Corrosion; Iron; Materials Science; Photocorrosion'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'' Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.
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Engineering
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Corrosion; Iron; Materials Science; Photocorrosion
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doi:10.18710/CHYUQX
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Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Corrosion; Iron; Materials Science; Photocorrosion'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: 'Hole annihilation vs. induced convection: Breakdown of different contributions to the photocorrosion mechanism of oxide-covered iron'' Description:'The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.' Subject:'Chemistry; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The uniform corrosion rate of oxide-covered iron increases under illumination. This dataset contains measurements associated with an investigation of the mechanism of this increase. The samples were polished iron samples. Polished iron was either investigated directly, or anodised to create oxide films with thicknesses of 50-350 nm. The dataset contains the following experimental results: (i) potentiodynamic polarisation curves of polished iron in different electrolytes (acid, neutral, chloride-containing, alkaline) with and without white light illumination; (ii) potentiodynamic polarisation curves of anodised iron with different oxide thicknesses in NaOH with and without white light illumination; (iii) potentiodynamic polarisation curves of anodised iron in NaOH with monochromatic illumination (450-800 nm wavelength); (iv) photocurrent and photovoltage transients of polished and anodised iron in NaOH under different illumination and polarisation conditions; and (v) ex situ UV-VIS spectra of anodised iron with different oxide thickness vs. an aluminium reference. All polarisation curves were measured under controlled convection, which enabled a quantification of different contributions to the overall uniform photocorrosion rate of iron. The dataset contains ASCII files with descriptive filenames and is structured in subfolders indicating the respective methods. A detailed interpretation of the results, and the experimental details associated with the dataset is available in the associated article.
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Physics
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Corrosion; Iron; Materials Science; Photocorrosion
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doi:10.18710/DHACHZ
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Data on dimensional and geometric accuracy for laser-based powder bed fusion of PA12 (PA2200)
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains measurements of dimensional- and geometric accuracy in laser-based powder bed fusion, with relevant background data. The experiment was conducted to investigate the effect of part build orientation on the dimensional- and geometric accuracy. The experiment was conducted at NTNU in Gjøvik where 135 specimens were produced over 3 builds alongside 372 additional parts not included in the main study. An elaborate build layout was designed to enable analysis of part position as well as orientation in the build chamber. An EOSINT P395 machine was used with a 50/50 blend of virgin and recycled PA12 polymer powder (PA2200 provided by EOS). The specimens were measured in a Zeiss Duramax coordinate measuring machine for minimum measurement error.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Accuracy; Additive Manufacturing; Laser-based powder bed fusion; PA12; Selective Laser Sintering; Tolerance engineering'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Data on dimensional and geometric accuracy for laser-based powder bed fusion of PA12 (PA2200)' Description:'This dataset contains measurements of dimensional- and geometric accuracy in laser-based powder bed fusion, with relevant background data. The experiment was conducted to investigate the effect of part build orientation on the dimensional- and geometric accuracy. The experiment was conducted at NTNU in Gjøvik where 135 specimens were produced over 3 builds alongside 372 additional parts not included in the main study. An elaborate build layout was designed to enable analysis of part position as well as orientation in the build chamber. An EOSINT P395 machine was used with a 50/50 blend of virgin and recycled PA12 polymer powder (PA2200 provided by EOS). The specimens were measured in a Zeiss Duramax coordinate measuring machine for minimum measurement error.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset contains measurements of dimensional- and geometric accuracy in laser-based powder bed fusion, with relevant background data. The experiment was conducted to investigate the effect of part build orientation on the dimensional- and geometric accuracy. The experiment was conducted at NTNU in Gjøvik where 135 specimens were produced over 3 builds alongside 372 additional parts not included in the main study. An elaborate build layout was designed to enable analysis of part position as well as orientation in the build chamber. An EOSINT P395 machine was used with a 50/50 blend of virgin and recycled PA12 polymer powder (PA2200 provided by EOS). The specimens were measured in a Zeiss Duramax coordinate measuring machine for minimum measurement error.
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Engineering
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Accuracy; Additive Manufacturing; Laser-based powder bed fusion; PA12; Selective Laser Sintering; Tolerance engineering
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doi:10.18738/T8/BCKNMU
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Phantom Data - Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data for sd-SFDI of phantoms used in Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'phantoms, SFDI, sd-SFDI'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Phantom Data - Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' Description:'Data for sd-SFDI of phantoms used in Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Data for sd-SFDI of phantoms used in Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging
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Engineering
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phantoms, SFDI, sd-SFDI
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doi:10.18738/T8/BCKNMU
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Phantom Data - Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data for sd-SFDI of phantoms used in Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'phantoms, SFDI, sd-SFDI'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Phantom Data - Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' Description:'Data for sd-SFDI of phantoms used in Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Data for sd-SFDI of phantoms used in Imaging sub-diffuse Optical Properties of Cancerous and Normal Skin Tissue Using Machine-Learning Aided Spatial Frequency Domain Imaging
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Medicine, Health and Life Sciences
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phantoms, SFDI, sd-SFDI
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doi:10.18710/GDGHZR
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Pigs: A stepwise RGB-D novel pig carcass cutting dataset.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'A pig carcass cutting dataset, captured from a bespoke frame structure with 6 intel realsense D415 cameras attached. The data is composed of bags files recorded from the intel’s SDK, which includes RGB-D data and camera intrinsic parameters for each sensor. In addition, five additional JSON files with the transformation matrix for each camera in relation to the left/front camera in the structure, are also provided.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Cut; Pig Carcass; RGB-D'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Pigs: A stepwise RGB-D novel pig carcass cutting dataset.' Description:'A pig carcass cutting dataset, captured from a bespoke frame structure with 6 intel realsense D415 cameras attached. The data is composed of bags files recorded from the intel’s SDK, which includes RGB-D data and camera intrinsic parameters for each sensor. In addition, five additional JSON files with the transformation matrix for each camera in relation to the left/front camera in the structure, are also provided.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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A pig carcass cutting dataset, captured from a bespoke frame structure with 6 intel realsense D415 cameras attached. The data is composed of bags files recorded from the intel’s SDK, which includes RGB-D data and camera intrinsic parameters for each sensor. In addition, five additional JSON files with the transformation matrix for each camera in relation to the left/front camera in the structure, are also provided.
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Engineering
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Cut; Pig Carcass; RGB-D
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doi:10.18710/GYVNEL
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Replication data for: ENOUGH Project: Performance evaluation of high-temperature heat pump systems for hot water and steam generation in food processing
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'In this dataset, data from the ENOUGH project for the evaluation of the applicability of different high-temperature heat pumps in food processing are shared.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Energy savings; GHG-emissions reduction; High-temperature heat pump; Steam generation'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: ENOUGH Project: Performance evaluation of high-temperature heat pump systems for hot water and steam generation in food processing' Description:'In this dataset, data from the ENOUGH project for the evaluation of the applicability of different high-temperature heat pumps in food processing are shared.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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In this dataset, data from the ENOUGH project for the evaluation of the applicability of different high-temperature heat pumps in food processing are shared.
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Engineering
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Energy savings; GHG-emissions reduction; High-temperature heat pump; Steam generation
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doi:10.18710/HMJVFM
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Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Classification; Detection; Human; Point Cloud; RGB-D; Vision'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening' Description:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.
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Computer and Information Science
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Classification; Detection; Human; Point Cloud; RGB-D; Vision
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doi:10.18710/HMJVFM
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Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Classification; Detection; Human; Point Cloud; RGB-D; Vision'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening' Description:'Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Dataset used to train and test a human classifier in the article 'CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening'. The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.
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Engineering
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Classification; Detection; Human; Point Cloud; RGB-D; Vision
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doi:10.18710/HS8QAH
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Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, 'Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement' was published at a conference (Compressors Conferences).' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Compressors; Data-driven models; Ejectors; Energy saving; Integrated systems; MultiPACK Project; R744 (CO2); Refrigeration'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement' Description:'The mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, 'Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement' was published at a conference (Compressors Conferences).' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, 'Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement' was published at a conference (Compressors Conferences).
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Engineering
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Compressors; Data-driven models; Ejectors; Energy saving; Integrated systems; MultiPACK Project; R744 (CO2); Refrigeration
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doi:10.18710/HTYHJP
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Replication Data for: MultiPACK_Projecet_Modeling of a CO2-based integrated refrigeration system for supermarkets
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset provides the field and numerical data of a study that focuses on the fully integrated CO2 refrigeration system configuration for a supermarket in Porto de Mos, Portugal, which was equipped and fully monitored through the EU funded project MultiPACK. A dynamic system model was developed in Modelica and validated against measurement data from the site recorded for one week. The model is used to provide additional ejector performance data supporting the obtained measurement data and to evaluate system configuration 18 at equivalent boundary conditions.The integrated CO2 refrigeration units installed in the frame of the MultiPACK project meet refrigeration (freezing and cooling), space heating, space cooling and hot water production loads. The layout of the unit introduced in this dataset is detailed in Figure 1. The system includes the main state-of-the-art technologies for CO2 refrigeration units such as ejector supported parallel compression, with ejectors for expansion work recovery and liquid ejectors for evaporator operation with minimized (or even zero) superheating, space heating and air conditioning through CO2-air rooftop units (RTUs), heat pump mode evaporator, etcThe compressor pack is an ejector-supported booster system with parallel compression. Three semi-hermetic compressors are installed at medium temperature (MT) level, three compressors at low temperature (LT) level, and there are four parallel compressors implemented mostly for air conditioning (AC), as detailed in Table 1. Smooth capacity modulation is achieved by inverter drives for one compressor per compressor level (30 to 60 Hz). The total installed electrical power for all compressors and auxiliary equipment (gas cooler/desuperheater fans, etc.) corresponds to 177 kW, excluding the fans for the RTUs. High-pressure CO2 can be applied for heating domestic hot water (DHW) up to 60 °C before the remaining heat may be utilized in the RTUs. Excess heat of the CO2 is then rejected to the ambient air by the gas cooler (GC), which can be partially or completely bypassed if needed. Depending on the operation mode of the package, the expansion from the high-pressure level into the liquid receiver tank at an intermediate pressure level in the range of 35 – 45 bar is done by either ejectors (high-pressure ejector or AC ejector) or by a high-pressure control valve (HPV). The ejectors implemented in the system are of fixed geometry and different sizes, arranged in blocks and each ejector enabled or disabled in a coordinated manner depending on the capacity requested (Multi Ejector concept by Danfoss [9]).The liquid receiver separates the flash gas and liquid phase and accumulates the liquid to manage charge variations in the circuit and to provide a sufficient liquid head. The liquid CO2 is subcooled and distributed to the LT, MT and AC evaporators. The flash gas is either compressed by the AUX compressors or throttled by the flash gas bypass valve (FGBV) to the suction of the MT compressors, depending on the operating conditions.The LT loads of the supermarket comprise cabinets, freezing rooms and an ice machine. The liquid CO2 mass flow supplied to the LT load is measured by a Coriolis mass flow meter, marked as M4 in Figure 1. The expansion to LT evaporation pressure is realized with electronic expansion valves separately controlled for each load. The low-pressure gas from the LT evaporators is heated due to subcooling of the liquid CO2 before it is compressed by the LT compressors to the MT separator pressure level.The MT loads consist of open and closed cabinets and cold rooms, which are equipped with separate controlled electronic expansion valves. The supplied liquid CO2 mass flow to the MT loads is measured by Coriolis mass flow meter M3. A separator tank prevents liquid suction by the MT compressors. In case of excess liquid accumulation in the separator tank, a liquid ejector block is activated to return liquid to the receiver. The high-pressure ejector block recovers expansion work to suck part of the gaseous CO2 from the separator tank back to the liquid receiver. This unloads the MT compressors in favour of the AUX (parallel) compressors, which operate with a lower pressure ratio.The space heating and cooling demand of the supermarket is supplied by means of two rooftop units (RTUs). In the rooftop units, CO2 directly flows into the heating and cooling coils. The arrangement of the rooftop units enables the usage of dehumidification. AC in the rooftop unit can be either provided by an ejector-supported AC operation or by utilizing direct expansion (DX) from downstream the GC:•For the ejector-supported AC operation mode, an ejector block with low pressure (LP) lift but a high entrainment ratio is utilized. In this case, the entire vapour of the AC evaporators is being sucked by the LP ejector and lifted to the receiver pressure level. Coriolis mass flow meter M1 measures the CO2 mass flow rate for this AC operation mode.•In the case of a DX AC mode, Coriolis mass flow meter M5 is utilized to determine the CO2 mass flow rate through the RTUs. The direct evaporation in the heat exchanger can be operated with ultra-low superheat. The increased flash gas amount during AC operation is handled by dedicated AC compressors.The AC compressors can also be utilized for additional heat rejection mode (i.e., heat pump mode). This mode can be activated when the heat that is available during standard cooling mode is insufficient to completely cover the heating demand requested by the RTUs. The heat pump mode utilizes ambient air as a heat source for the separate set of coils in the gas cooler that operate as an evaporator with liquid CO2 supplied by the liquid receiver. A solenoid valve is installed allowing an independent heat pump functionality for some AC compressors, while others still can remove flash gas.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'CO2 commercial refrigeration; dynamic modeling; energy efficient; Heat recovery; integrated refrigeration system; Modelica; R744'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK_Projecet_Modeling of a CO2-based integrated refrigeration system for supermarkets' Description:'This dataset provides the field and numerical data of a study that focuses on the fully integrated CO2 refrigeration system configuration for a supermarket in Porto de Mos, Portugal, which was equipped and fully monitored through the EU funded project MultiPACK. A dynamic system model was developed in Modelica and validated against measurement data from the site recorded for one week. The model is used to provide additional ejector performance data supporting the obtained measurement data and to evaluate system configuration 18 at equivalent boundary conditions.The integrated CO2 refrigeration units installed in the frame of the MultiPACK project meet refrigeration (freezing and cooling), space heating, space cooling and hot water production loads. The layout of the unit introduced in this dataset is detailed in Figure 1. The system includes the main state-of-the-art technologies for CO2 refrigeration units such as ejector supported parallel compression, with ejectors for expansion work recovery and liquid ejectors for evaporator operation with minimized (or even zero) superheating, space heating and air conditioning through CO2-air rooftop units (RTUs), heat pump mode evaporator, etcThe compressor pack is an ejector-supported booster system with parallel compression. Three semi-hermetic compressors are installed at medium temperature (MT) level, three compressors at low temperature (LT) level, and there are four parallel compressors implemented mostly for air conditioning (AC), as detailed in Table 1. Smooth capacity modulation is achieved by inverter drives for one compressor per compressor level (30 to 60 Hz). The total installed electrical power for all compressors and auxiliary equipment (gas cooler/desuperheater fans, etc.) corresponds to 177 kW, excluding the fans for the RTUs. High-pressure CO2 can be applied for heating domestic hot water (DHW) up to 60 °C before the remaining heat may be utilized in the RTUs. Excess heat of the CO2 is then rejected to the ambient air by the gas cooler (GC), which can be partially or completely bypassed if needed. Depending on the operation mode of the package, the expansion from the high-pressure level into the liquid receiver tank at an intermediate pressure level in the range of 35 – 45 bar is done by either ejectors (high-pressure ejector or AC ejector) or by a high-pressure control valve (HPV). The ejectors implemented in the system are of fixed geometry and different sizes, arranged in blocks and each ejector enabled or disabled in a coordinated manner depending on the capacity requested (Multi Ejector concept by Danfoss [9]).The liquid receiver separates the flash gas and liquid phase and accumulates the liquid to manage charge variations in the circuit and to provide a sufficient liquid head. The liquid CO2 is subcooled and distributed to the LT, MT and AC evaporators. The flash gas is either compressed by the AUX compressors or throttled by the flash gas bypass valve (FGBV) to the suction of the MT compressors, depending on the operating conditions.The LT loads of the supermarket comprise cabinets, freezing rooms and an ice machine. The liquid CO2 mass flow supplied to the LT load is measured by a Coriolis mass flow meter, marked as M4 in Figure 1. The expansion to LT evaporation pressure is realized with electronic expansion valves separately controlled for each load. The low-pressure gas from the LT evaporators is heated due to subcooling of the liquid CO2 before it is compressed by the LT compressors to the MT separator pressure level.The MT loads consist of open and closed cabinets and cold rooms, which are equipped with separate controlled electronic expansion valves. The supplied liquid CO2 mass flow to the MT loads is measured by Coriolis mass flow meter M3. A separator tank prevents liquid suction by the MT compressors. In case of excess liquid accumulation in the separator tank, a liquid ejector block is activated to return liquid to the receiver. The high-pressure ejector block recovers expansion work to suck part of the gaseous CO2 from the separator tank back to the liquid receiver. This unloads the MT compressors in favour of the AUX (parallel) compressors, which operate with a lower pressure ratio.The space heating and cooling demand of the supermarket is supplied by means of two rooftop units (RTUs). In the rooftop units, CO2 directly flows into the heating and cooling coils. The arrangement of the rooftop units enables the usage of dehumidification. AC in the rooftop unit can be either provided by an ejector-supported AC operation or by utilizing direct expansion (DX) from downstream the GC:•For the ejector-supported AC operation mode, an ejector block with low pressure (LP) lift but a high entrainment ratio is utilized. In this case, the entire vapour of the AC evaporators is being sucked by the LP ejector and lifted to the receiver pressure level. Coriolis mass flow meter M1 measures the CO2 mass flow rate for this AC operation mode.•In the case of a DX AC mode, Coriolis mass flow meter M5 is utilized to determine the CO2 mass flow rate through the RTUs. The direct evaporation in the heat exchanger can be operated with ultra-low superheat. The increased flash gas amount during AC operation is handled by dedicated AC compressors.The AC compressors can also be utilized for additional heat rejection mode (i.e., heat pump mode). This mode can be activated when the heat that is available during standard cooling mode is insufficient to completely cover the heating demand requested by the RTUs. The heat pump mode utilizes ambient air as a heat source for the separate set of coils in the gas cooler that operate as an evaporator with liquid CO2 supplied by the liquid receiver. A solenoid valve is installed allowing an independent heat pump functionality for some AC compressors, while others still can remove flash gas.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset provides the field and numerical data of a study that focuses on the fully integrated CO2 refrigeration system configuration for a supermarket in Porto de Mos, Portugal, which was equipped and fully monitored through the EU funded project MultiPACK. A dynamic system model was developed in Modelica and validated against measurement data from the site recorded for one week. The model is used to provide additional ejector performance data supporting the obtained measurement data and to evaluate system configuration 18 at equivalent boundary conditions.The integrated CO2 refrigeration units installed in the frame of the MultiPACK project meet refrigeration (freezing and cooling), space heating, space cooling and hot water production loads. The layout of the unit introduced in this dataset is detailed in Figure 1. The system includes the main state-of-the-art technologies for CO2 refrigeration units such as ejector supported parallel compression, with ejectors for expansion work recovery and liquid ejectors for evaporator operation with minimized (or even zero) superheating, space heating and air conditioning through CO2-air rooftop units (RTUs), heat pump mode evaporator, etcThe compressor pack is an ejector-supported booster system with parallel compression. Three semi-hermetic compressors are installed at medium temperature (MT) level, three compressors at low temperature (LT) level, and there are four parallel compressors implemented mostly for air conditioning (AC), as detailed in Table 1. Smooth capacity modulation is achieved by inverter drives for one compressor per compressor level (30 to 60 Hz). The total installed electrical power for all compressors and auxiliary equipment (gas cooler/desuperheater fans, etc.) corresponds to 177 kW, excluding the fans for the RTUs. High-pressure CO2 can be applied for heating domestic hot water (DHW) up to 60 °C before the remaining heat may be utilized in the RTUs. Excess heat of the CO2 is then rejected to the ambient air by the gas cooler (GC), which can be partially or completely bypassed if needed. Depending on the operation mode of the package, the expansion from the high-pressure level into the liquid receiver tank at an intermediate pressure level in the range of 35 – 45 bar is done by either ejectors (high-pressure ejector or AC ejector) or by a high-pressure control valve (HPV). The ejectors implemented in the system are of fixed geometry and different sizes, arranged in blocks and each ejector enabled or disabled in a coordinated manner depending on the capacity requested (Multi Ejector concept by Danfoss [9]).The liquid receiver separates the flash gas and liquid phase and accumulates the liquid to manage charge variations in the circuit and to provide a sufficient liquid head. The liquid CO2 is subcooled and distributed to the LT, MT and AC evaporators. The flash gas is either compressed by the AUX compressors or throttled by the flash gas bypass valve (FGBV) to the suction of the MT compressors, depending on the operating conditions.The LT loads of the supermarket comprise cabinets, freezing rooms and an ice machine. The liquid CO2 mass flow supplied to the LT load is measured by a Coriolis mass flow meter, marked as M4 in Figure 1. The expansion to LT evaporation pressure is realized with electronic expansion valves separately controlled for each load. The low-pressure gas from the LT evaporators is heated due to subcooling of the liquid CO2 before it is compressed by the LT compressors to the MT separator pressure level.The MT loads consist of open and closed cabinets and cold rooms, which are equipped with separate controlled electronic expansion valves. The supplied liquid CO2 mass flow to the MT loads is measured by Coriolis mass flow meter M3. A separator tank prevents liquid suction by the MT compressors. In case of excess liquid accumulation in the separator tank, a liquid ejector block is activated to return liquid to the receiver. The high-pressure ejector block recovers expansion work to suck part of the gaseous CO2 from the separator tank back to the liquid receiver. This unloads the MT compressors in favour of the AUX (parallel) compressors, which operate with a lower pressure ratio.The space heating and cooling demand of the supermarket is supplied by means of two rooftop units (RTUs). In the rooftop units, CO2 directly flows into the heating and cooling coils. The arrangement of the rooftop units enables the usage of dehumidification. AC in the rooftop unit can be either provided by an ejector-supported AC operation or by utilizing direct expansion (DX) from downstream the GC:•For the ejector-supported AC operation mode, an ejector block with low pressure (LP) lift but a high entrainment ratio is utilized. In this case, the entire vapour of the AC evaporators is being sucked by the LP ejector and lifted to the receiver pressure level. Coriolis mass flow meter M1 measures the CO2 mass flow rate for this AC operation mode.•In the case of a DX AC mode, Coriolis mass flow meter M5 is utilized to determine the CO2 mass flow rate through the RTUs. The direct evaporation in the heat exchanger can be operated with ultra-low superheat. The increased flash gas amount during AC operation is handled by dedicated AC compressors.The AC compressors can also be utilized for additional heat rejection mode (i.e., heat pump mode). This mode can be activated when the heat that is available during standard cooling mode is insufficient to completely cover the heating demand requested by the RTUs. The heat pump mode utilizes ambient air as a heat source for the separate set of coils in the gas cooler that operate as an evaporator with liquid CO2 supplied by the liquid receiver. A solenoid valve is installed allowing an independent heat pump functionality for some AC compressors, while others still can remove flash gas.
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Engineering
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CO2 commercial refrigeration; dynamic modeling; energy efficient; Heat recovery; integrated refrigeration system; Modelica; R744
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doi:10.18710/IZ63JH
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Replication data for 'Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Absorption spectroscopy; NIR spectroscopy; Supercontinuum laser'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy'' Description:'The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.' Subject:'Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.
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Engineering
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Absorption spectroscopy; NIR spectroscopy; Supercontinuum laser
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doi:10.18710/IZ63JH
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Replication data for 'Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy'
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Absorption spectroscopy; NIR spectroscopy; Supercontinuum laser'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for 'Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy'' Description:'The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.' Subject:'Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instruments with very low noise levels. We have applied a supercontinuum laser in a fully fiber-coupled system for acqeous measurements and characterized the SNR with different components. A case study with glucose measurements was conducted with the full system. A paper has been submitted on the analysis and is in review.
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Physics
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Absorption spectroscopy; NIR spectroscopy; Supercontinuum laser
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doi:10.18710/JVZ547
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Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset presents, the estimation of the Multi-ejector performance in a supermarket, based on the compressor mass flow rates from a trained data-driven method, (refer to https://doi.org/10.18710/HS8QAH) and the comparison with the existing performance function based on operational conditions. The pilot installation used the dataset is in the frame of MultiPack, an EU funded project.The Multipack is an integrated R744 parallel compression system with expansion work recovery through Multi Ejector SolutionTM, providing: refrigeration, space heating and cooling, and hot water production as shown in Figure 1. The space cooling and heating are by two direct CO2 rooftop air handling units. Three compression groups were installed in the pilot. Three compressors for medium temperature level (MT comp), three compressors at Low-Temperature level (LT comp), and four units are dedicated for Air-Conditioning (AC comp) total installed electrical power for compressors and fans is 177 kW (Excluding air handling fans). A paper, based on this dataset, 'Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions' was published at a conference (Compressors Conferences).' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Compressors; Data-driven models; Ejectors; Energy saving; Integrated systems; MultiPACK Project; R744 (CO2); Refrigeration'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions' Description:'The dataset presents, the estimation of the Multi-ejector performance in a supermarket, based on the compressor mass flow rates from a trained data-driven method, (refer to https://doi.org/10.18710/HS8QAH) and the comparison with the existing performance function based on operational conditions. The pilot installation used the dataset is in the frame of MultiPack, an EU funded project.The Multipack is an integrated R744 parallel compression system with expansion work recovery through Multi Ejector SolutionTM, providing: refrigeration, space heating and cooling, and hot water production as shown in Figure 1. The space cooling and heating are by two direct CO2 rooftop air handling units. Three compression groups were installed in the pilot. Three compressors for medium temperature level (MT comp), three compressors at Low-Temperature level (LT comp), and four units are dedicated for Air-Conditioning (AC comp) total installed electrical power for compressors and fans is 177 kW (Excluding air handling fans). A paper, based on this dataset, 'Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions' was published at a conference (Compressors Conferences).' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The dataset presents, the estimation of the Multi-ejector performance in a supermarket, based on the compressor mass flow rates from a trained data-driven method, (refer to https://doi.org/10.18710/HS8QAH) and the comparison with the existing performance function based on operational conditions. The pilot installation used the dataset is in the frame of MultiPack, an EU funded project.The Multipack is an integrated R744 parallel compression system with expansion work recovery through Multi Ejector SolutionTM, providing: refrigeration, space heating and cooling, and hot water production as shown in Figure 1. The space cooling and heating are by two direct CO2 rooftop air handling units. Three compression groups were installed in the pilot. Three compressors for medium temperature level (MT comp), three compressors at Low-Temperature level (LT comp), and four units are dedicated for Air-Conditioning (AC comp) total installed electrical power for compressors and fans is 177 kW (Excluding air handling fans). A paper, based on this dataset, 'Performance of integrated R744-packs Part 2 - Ejectors performance, a comparison of onsite measurements and model predictions' was published at a conference (Compressors Conferences).
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Engineering
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Compressors; Data-driven models; Ejectors; Energy saving; Integrated systems; MultiPACK Project; R744 (CO2); Refrigeration
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doi:10.18710/KNUO9U
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Roskrepp field measurements 19.09.2017
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Pressure measurements in Roskrepp hydropower plant at different operating points.The data about the generated power and generator parameters are provided by the power plant operator. Data about the water levels in the upper and lower reservoir presented in Water level at Oyarvatn.csv and Water level at Roskreppfjorden.csv, respectively are collected at 1h intervals. The pressure measurements are measured in the turbine inlet pipe and in the draft tube using pressure transducers with characteristics presented in the metadata. The guide vane opening is measured as stroke using position sensors installed on the guide vane moving mechanism. The rotation is determined using a tachometer directly on the turbine shaft.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'hydropower; mass oscillations; pressure measurements; water hammer'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Roskrepp field measurements 19.09.2017' Description:'Pressure measurements in Roskrepp hydropower plant at different operating points.The data about the generated power and generator parameters are provided by the power plant operator. Data about the water levels in the upper and lower reservoir presented in Water level at Oyarvatn.csv and Water level at Roskreppfjorden.csv, respectively are collected at 1h intervals. The pressure measurements are measured in the turbine inlet pipe and in the draft tube using pressure transducers with characteristics presented in the metadata. The guide vane opening is measured as stroke using position sensors installed on the guide vane moving mechanism. The rotation is determined using a tachometer directly on the turbine shaft.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Pressure measurements in Roskrepp hydropower plant at different operating points.The data about the generated power and generator parameters are provided by the power plant operator. Data about the water levels in the upper and lower reservoir presented in Water level at Oyarvatn.csv and Water level at Roskreppfjorden.csv, respectively are collected at 1h intervals. The pressure measurements are measured in the turbine inlet pipe and in the draft tube using pressure transducers with characteristics presented in the metadata. The guide vane opening is measured as stroke using position sensors installed on the guide vane moving mechanism. The rotation is determined using a tachometer directly on the turbine shaft.
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Engineering
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hydropower; mass oscillations; pressure measurements; water hammer
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doi:10.18710/KUWENG
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Replication Data for: The MultiPACK project: installation and monitoring of integrated heat pump systems for high energy consumption buildings.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'his dataset includes the data for two heat pump systems installed in the hotels in Italy within the project MultiPACK. The heat pump is installed in a hotel located in a tourist area in North Italy. It is intended to provide heating, cooling and hot water to a hotel, which is open nearly all over the year.The unit can benefit from groundwater as the heat source or heat sink. The heat pump features a two-phase multi ejector as an expansion device, able to utilise expansion work. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Carbon Dioxide; Domestic hot water; Energy Efficiency; Heat Recovery; Italy; Refrigeration'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: The MultiPACK project: installation and monitoring of integrated heat pump systems for high energy consumption buildings.' Description:'his dataset includes the data for two heat pump systems installed in the hotels in Italy within the project MultiPACK. The heat pump is installed in a hotel located in a tourist area in North Italy. It is intended to provide heating, cooling and hot water to a hotel, which is open nearly all over the year.The unit can benefit from groundwater as the heat source or heat sink. The heat pump features a two-phase multi ejector as an expansion device, able to utilise expansion work. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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his dataset includes the data for two heat pump systems installed in the hotels in Italy within the project MultiPACK. The heat pump is installed in a hotel located in a tourist area in North Italy. It is intended to provide heating, cooling and hot water to a hotel, which is open nearly all over the year.The unit can benefit from groundwater as the heat source or heat sink. The heat pump features a two-phase multi ejector as an expansion device, able to utilise expansion work. An original two-evaporator layout is implemented, where the first one is gravity driven and the second one is ejector driven.
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Engineering
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Carbon Dioxide; Domestic hot water; Energy Efficiency; Heat Recovery; Italy; Refrigeration
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doi:10.18710/L41IGQ
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UAV Database
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW)- Payload- Wingspan- Lenght- Cruise speed- Maximum speed- Stall speed- Range- Endurance- Altitude - Airfoil- Aspect ratio- Chord length (estimated)- Propeller diameter- UAV type' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'drone; RPAS; UAS; UAV; unmanned aerial system; unmanned aerial vehicle'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'UAV Database' Description:'This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW)- Payload- Wingspan- Lenght- Cruise speed- Maximum speed- Stall speed- Range- Endurance- Altitude - Airfoil- Aspect ratio- Chord length (estimated)- Propeller diameter- UAV type' Subject:'Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW)- Payload- Wingspan- Lenght- Cruise speed- Maximum speed- Stall speed- Range- Endurance- Altitude - Airfoil- Aspect ratio- Chord length (estimated)- Propeller diameter- UAV type
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Engineering
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drone; RPAS; UAS; UAV; unmanned aerial system; unmanned aerial vehicle
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doi:10.18710/L41IGQ
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UAV Database
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW)- Payload- Wingspan- Lenght- Cruise speed- Maximum speed- Stall speed- Range- Endurance- Altitude - Airfoil- Aspect ratio- Chord length (estimated)- Propeller diameter- UAV type' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'drone; RPAS; UAS; UAV; unmanned aerial system; unmanned aerial vehicle'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'UAV Database' Description:'This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW)- Payload- Wingspan- Lenght- Cruise speed- Maximum speed- Stall speed- Range- Endurance- Altitude - Airfoil- Aspect ratio- Chord length (estimated)- Propeller diameter- UAV type' Subject:'Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This database gives an overview of the specifications of 93 unmanned aerial vehicles (UAVs). This database can be used to characterize different types of UAVs and their properties. The database contains the following information for each UAV: - Maximum takeoff weight (MTOW)- Payload- Wingspan- Lenght- Cruise speed- Maximum speed- Stall speed- Range- Endurance- Altitude - Airfoil- Aspect ratio- Chord length (estimated)- Propeller diameter- UAV type
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Physics
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drone; RPAS; UAS; UAV; unmanned aerial system; unmanned aerial vehicle
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doi:10.18738/T8/SGWSNZ
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RV Mechanical Data
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Mechanical testing data for the RV.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'mechanics, histology, right ventricle'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'RV Mechanical Data' Description:'Mechanical testing data for the RV.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Mechanical testing data for the RV.
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Engineering
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mechanics, histology, right ventricle
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doi:10.18738/T8/SGWSNZ
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RV Mechanical Data
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Mechanical testing data for the RV.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'mechanics, histology, right ventricle'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'RV Mechanical Data' Description:'Mechanical testing data for the RV.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Mechanical testing data for the RV.
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Medicine, Health and Life Sciences
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mechanics, histology, right ventricle
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doi:10.18710/NZJOIS
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UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Variable speed drives; Vibration measurement'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.
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Computer and Information Science
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Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Variable speed drives; Vibration measurement
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doi:10.18710/NZJOIS
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UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Variable speed drives; Vibration measurement'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'UiA Accelerated Life Time Bearing Test Rig – Test 3, Variable speed around 50rpm' Description:'Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Vibration data from an accelerated lifetime test of a bearing. Contains raw vibration data and shaft position data. The mean shaft speed is 50rpm with a variation +- 40 rpm. Can be used for fault diagnosis and remaining useful lifetime estimation. Please see '00_ReadMe.pdf' file for more details.
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Engineering
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Ball bearings; Fault diagnosis; Prognostics and health management; Rotating machines; Variable speed drives; Vibration measurement
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doi:10.18710/OCMXVP
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Replication Data for: Perception by Palpation: Development and Testing of a Haptic Ferrogranular Jamming Surface
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Remark regarding V1: We are aware that the data set currently contains non-preferred file formats. V2 of this data set will be updated with preferred file formats, and more extensive description shortly. Tactile hands-only training is particularly important for medical palpation. Generally,equipment for palpation training is expensive, static, or provides too few study casesto practice on. We have therefore developed a novel haptic surface concept for palpation training, using ferrogranular jamming. The concept’s design consists of a tactile field spanning 260x160 mm, and uses ferromagnetic granules to alter shape, position, and hardness of palpable irregularities. Granules are enclosed in a compliant vacuum-sealed chamber connected to a pneumatic system. A variety of geometric shapes (output) can be obtained by manipulating and arranging granules with permanent magnets. The tactile hardness of the palpable output can be controlled by adjusting the chamber’s vacuum level. A psychophysical experiment (N 28) investigated how people interact with the palpable surface and evaluated the proposed concept. Untrained participants characterized irregularities with different position, form, and hardness through palpation, and their performance was evaluated. A baseline (no irregularity) was compared to three irregularity conditions: two circular shapes with different hardness (Hard Lump and Soft Lump), and an Annulus shape. 100% of participants correctly identified an irregularity in the three irregularity conditions, whereas 78.6% correctly identified baseline. Overall agreement between participants was high (κ= 0.723). The Intersection over Union (IoU) for participants sketched outline over the actual shape was IoU Mdn = 79.3% for Soft Lump, IoU Mdn = 68.8% for Annulus, and IoU Mdn = 76.7% for Hard Lump. The distance from actual to drawn center was Mdn = 6.4mm for Soft Lump, Mdn = 5.3mm for Annulus, and Mdn = 7.4 mm for Hard Lump, which are small distances compared to the size of the field. The participants subjectively evaluated the Soft Lump to be significantly softer than the Hard Lump and the Annulus. Moreover, 71% of participants thought they improved their palpation skills throughout the experiment. Together, these results show that the concept can render irregularities with different position, form, and hardness, and that users are able to locate and characterize these through palpation. Participants experienced an improvement in palpation skills throughout the experiment, which indicates the concepts feasibility as a palpation training device.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ferromagnetic Granule; Granular Jamming; Haptic Interface; Palpation; Simulation; Tactile Perception; Tactile Surface'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Perception by Palpation: Development and Testing of a Haptic Ferrogranular Jamming Surface' Description:'Remark regarding V1: We are aware that the data set currently contains non-preferred file formats. V2 of this data set will be updated with preferred file formats, and more extensive description shortly. Tactile hands-only training is particularly important for medical palpation. Generally,equipment for palpation training is expensive, static, or provides too few study casesto practice on. We have therefore developed a novel haptic surface concept for palpation training, using ferrogranular jamming. The concept’s design consists of a tactile field spanning 260x160 mm, and uses ferromagnetic granules to alter shape, position, and hardness of palpable irregularities. Granules are enclosed in a compliant vacuum-sealed chamber connected to a pneumatic system. A variety of geometric shapes (output) can be obtained by manipulating and arranging granules with permanent magnets. The tactile hardness of the palpable output can be controlled by adjusting the chamber’s vacuum level. A psychophysical experiment (N 28) investigated how people interact with the palpable surface and evaluated the proposed concept. Untrained participants characterized irregularities with different position, form, and hardness through palpation, and their performance was evaluated. A baseline (no irregularity) was compared to three irregularity conditions: two circular shapes with different hardness (Hard Lump and Soft Lump), and an Annulus shape. 100% of participants correctly identified an irregularity in the three irregularity conditions, whereas 78.6% correctly identified baseline. Overall agreement between participants was high (κ= 0.723). The Intersection over Union (IoU) for participants sketched outline over the actual shape was IoU Mdn = 79.3% for Soft Lump, IoU Mdn = 68.8% for Annulus, and IoU Mdn = 76.7% for Hard Lump. The distance from actual to drawn center was Mdn = 6.4mm for Soft Lump, Mdn = 5.3mm for Annulus, and Mdn = 7.4 mm for Hard Lump, which are small distances compared to the size of the field. The participants subjectively evaluated the Soft Lump to be significantly softer than the Hard Lump and the Annulus. Moreover, 71% of participants thought they improved their palpation skills throughout the experiment. Together, these results show that the concept can render irregularities with different position, form, and hardness, and that users are able to locate and characterize these through palpation. Participants experienced an improvement in palpation skills throughout the experiment, which indicates the concepts feasibility as a palpation training device.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Remark regarding V1: We are aware that the data set currently contains non-preferred file formats. V2 of this data set will be updated with preferred file formats, and more extensive description shortly. Tactile hands-only training is particularly important for medical palpation. Generally,equipment for palpation training is expensive, static, or provides too few study casesto practice on. We have therefore developed a novel haptic surface concept for palpation training, using ferrogranular jamming. The concept’s design consists of a tactile field spanning 260x160 mm, and uses ferromagnetic granules to alter shape, position, and hardness of palpable irregularities. Granules are enclosed in a compliant vacuum-sealed chamber connected to a pneumatic system. A variety of geometric shapes (output) can be obtained by manipulating and arranging granules with permanent magnets. The tactile hardness of the palpable output can be controlled by adjusting the chamber’s vacuum level. A psychophysical experiment (N 28) investigated how people interact with the palpable surface and evaluated the proposed concept. Untrained participants characterized irregularities with different position, form, and hardness through palpation, and their performance was evaluated. A baseline (no irregularity) was compared to three irregularity conditions: two circular shapes with different hardness (Hard Lump and Soft Lump), and an Annulus shape. 100% of participants correctly identified an irregularity in the three irregularity conditions, whereas 78.6% correctly identified baseline. Overall agreement between participants was high (κ= 0.723). The Intersection over Union (IoU) for participants sketched outline over the actual shape was IoU Mdn = 79.3% for Soft Lump, IoU Mdn = 68.8% for Annulus, and IoU Mdn = 76.7% for Hard Lump. The distance from actual to drawn center was Mdn = 6.4mm for Soft Lump, Mdn = 5.3mm for Annulus, and Mdn = 7.4 mm for Hard Lump, which are small distances compared to the size of the field. The participants subjectively evaluated the Soft Lump to be significantly softer than the Hard Lump and the Annulus. Moreover, 71% of participants thought they improved their palpation skills throughout the experiment. Together, these results show that the concept can render irregularities with different position, form, and hardness, and that users are able to locate and characterize these through palpation. Participants experienced an improvement in palpation skills throughout the experiment, which indicates the concepts feasibility as a palpation training device.
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Engineering
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Ferromagnetic Granule; Granular Jamming; Haptic Interface; Palpation; Simulation; Tactile Perception; Tactile Surface
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doi:10.18710/OCMXVP
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Replication Data for: Perception by Palpation: Development and Testing of a Haptic Ferrogranular Jamming Surface
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Remark regarding V1: We are aware that the data set currently contains non-preferred file formats. V2 of this data set will be updated with preferred file formats, and more extensive description shortly. Tactile hands-only training is particularly important for medical palpation. Generally,equipment for palpation training is expensive, static, or provides too few study casesto practice on. We have therefore developed a novel haptic surface concept for palpation training, using ferrogranular jamming. The concept’s design consists of a tactile field spanning 260x160 mm, and uses ferromagnetic granules to alter shape, position, and hardness of palpable irregularities. Granules are enclosed in a compliant vacuum-sealed chamber connected to a pneumatic system. A variety of geometric shapes (output) can be obtained by manipulating and arranging granules with permanent magnets. The tactile hardness of the palpable output can be controlled by adjusting the chamber’s vacuum level. A psychophysical experiment (N 28) investigated how people interact with the palpable surface and evaluated the proposed concept. Untrained participants characterized irregularities with different position, form, and hardness through palpation, and their performance was evaluated. A baseline (no irregularity) was compared to three irregularity conditions: two circular shapes with different hardness (Hard Lump and Soft Lump), and an Annulus shape. 100% of participants correctly identified an irregularity in the three irregularity conditions, whereas 78.6% correctly identified baseline. Overall agreement between participants was high (κ= 0.723). The Intersection over Union (IoU) for participants sketched outline over the actual shape was IoU Mdn = 79.3% for Soft Lump, IoU Mdn = 68.8% for Annulus, and IoU Mdn = 76.7% for Hard Lump. The distance from actual to drawn center was Mdn = 6.4mm for Soft Lump, Mdn = 5.3mm for Annulus, and Mdn = 7.4 mm for Hard Lump, which are small distances compared to the size of the field. The participants subjectively evaluated the Soft Lump to be significantly softer than the Hard Lump and the Annulus. Moreover, 71% of participants thought they improved their palpation skills throughout the experiment. Together, these results show that the concept can render irregularities with different position, form, and hardness, and that users are able to locate and characterize these through palpation. Participants experienced an improvement in palpation skills throughout the experiment, which indicates the concepts feasibility as a palpation training device.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Ferromagnetic Granule; Granular Jamming; Haptic Interface; Palpation; Simulation; Tactile Perception; Tactile Surface'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Perception by Palpation: Development and Testing of a Haptic Ferrogranular Jamming Surface' Description:'Remark regarding V1: We are aware that the data set currently contains non-preferred file formats. V2 of this data set will be updated with preferred file formats, and more extensive description shortly. Tactile hands-only training is particularly important for medical palpation. Generally,equipment for palpation training is expensive, static, or provides too few study casesto practice on. We have therefore developed a novel haptic surface concept for palpation training, using ferrogranular jamming. The concept’s design consists of a tactile field spanning 260x160 mm, and uses ferromagnetic granules to alter shape, position, and hardness of palpable irregularities. Granules are enclosed in a compliant vacuum-sealed chamber connected to a pneumatic system. A variety of geometric shapes (output) can be obtained by manipulating and arranging granules with permanent magnets. The tactile hardness of the palpable output can be controlled by adjusting the chamber’s vacuum level. A psychophysical experiment (N 28) investigated how people interact with the palpable surface and evaluated the proposed concept. Untrained participants characterized irregularities with different position, form, and hardness through palpation, and their performance was evaluated. A baseline (no irregularity) was compared to three irregularity conditions: two circular shapes with different hardness (Hard Lump and Soft Lump), and an Annulus shape. 100% of participants correctly identified an irregularity in the three irregularity conditions, whereas 78.6% correctly identified baseline. Overall agreement between participants was high (κ= 0.723). The Intersection over Union (IoU) for participants sketched outline over the actual shape was IoU Mdn = 79.3% for Soft Lump, IoU Mdn = 68.8% for Annulus, and IoU Mdn = 76.7% for Hard Lump. The distance from actual to drawn center was Mdn = 6.4mm for Soft Lump, Mdn = 5.3mm for Annulus, and Mdn = 7.4 mm for Hard Lump, which are small distances compared to the size of the field. The participants subjectively evaluated the Soft Lump to be significantly softer than the Hard Lump and the Annulus. Moreover, 71% of participants thought they improved their palpation skills throughout the experiment. Together, these results show that the concept can render irregularities with different position, form, and hardness, and that users are able to locate and characterize these through palpation. Participants experienced an improvement in palpation skills throughout the experiment, which indicates the concepts feasibility as a palpation training device.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Remark regarding V1: We are aware that the data set currently contains non-preferred file formats. V2 of this data set will be updated with preferred file formats, and more extensive description shortly. Tactile hands-only training is particularly important for medical palpation. Generally,equipment for palpation training is expensive, static, or provides too few study casesto practice on. We have therefore developed a novel haptic surface concept for palpation training, using ferrogranular jamming. The concept’s design consists of a tactile field spanning 260x160 mm, and uses ferromagnetic granules to alter shape, position, and hardness of palpable irregularities. Granules are enclosed in a compliant vacuum-sealed chamber connected to a pneumatic system. A variety of geometric shapes (output) can be obtained by manipulating and arranging granules with permanent magnets. The tactile hardness of the palpable output can be controlled by adjusting the chamber’s vacuum level. A psychophysical experiment (N 28) investigated how people interact with the palpable surface and evaluated the proposed concept. Untrained participants characterized irregularities with different position, form, and hardness through palpation, and their performance was evaluated. A baseline (no irregularity) was compared to three irregularity conditions: two circular shapes with different hardness (Hard Lump and Soft Lump), and an Annulus shape. 100% of participants correctly identified an irregularity in the three irregularity conditions, whereas 78.6% correctly identified baseline. Overall agreement between participants was high (κ= 0.723). The Intersection over Union (IoU) for participants sketched outline over the actual shape was IoU Mdn = 79.3% for Soft Lump, IoU Mdn = 68.8% for Annulus, and IoU Mdn = 76.7% for Hard Lump. The distance from actual to drawn center was Mdn = 6.4mm for Soft Lump, Mdn = 5.3mm for Annulus, and Mdn = 7.4 mm for Hard Lump, which are small distances compared to the size of the field. The participants subjectively evaluated the Soft Lump to be significantly softer than the Hard Lump and the Annulus. Moreover, 71% of participants thought they improved their palpation skills throughout the experiment. Together, these results show that the concept can render irregularities with different position, form, and hardness, and that users are able to locate and characterize these through palpation. Participants experienced an improvement in palpation skills throughout the experiment, which indicates the concepts feasibility as a palpation training device.
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Medicine, Health and Life Sciences
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Ferromagnetic Granule; Granular Jamming; Haptic Interface; Palpation; Simulation; Tactile Perception; Tactile Surface
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doi:10.18710/OOSLIF
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Replication Data for: MultiPACK Project_Field assessment of the performance of a state-of-the-art CO2 integrated system for supermarket with distributed HVAC terminals in the shopping area
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset includes the field data from the unit installed in a supermarket in Italy. There are sensors in the system to make necessary measurements. The measured data is collected, stored and then converted into usable data. The system layout includes all the characteristics of a MultiPACK unit, i.e. integration of all functions, refrigeration, space heating and cooling and hot water production, in the same appliance, while adopting the state-of-the-art technology for CO2 refrigeration, i.e. parallel compression, ejectors for expansion work recovery, minimized superheat for evaporators with suction pressure receiver and liquid ejectors for possible liquid recirculation.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Evaporators; Heat Recovery'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project_Field assessment of the performance of a state-of-the-art CO2 integrated system for supermarket with distributed HVAC terminals in the shopping area' Description:'This dataset includes the field data from the unit installed in a supermarket in Italy. There are sensors in the system to make necessary measurements. The measured data is collected, stored and then converted into usable data. The system layout includes all the characteristics of a MultiPACK unit, i.e. integration of all functions, refrigeration, space heating and cooling and hot water production, in the same appliance, while adopting the state-of-the-art technology for CO2 refrigeration, i.e. parallel compression, ejectors for expansion work recovery, minimized superheat for evaporators with suction pressure receiver and liquid ejectors for possible liquid recirculation.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset includes the field data from the unit installed in a supermarket in Italy. There are sensors in the system to make necessary measurements. The measured data is collected, stored and then converted into usable data. The system layout includes all the characteristics of a MultiPACK unit, i.e. integration of all functions, refrigeration, space heating and cooling and hot water production, in the same appliance, while adopting the state-of-the-art technology for CO2 refrigeration, i.e. parallel compression, ejectors for expansion work recovery, minimized superheat for evaporators with suction pressure receiver and liquid ejectors for possible liquid recirculation.
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Engineering
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Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Evaporators; Heat Recovery
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doi:10.18710/OWKABR
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Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow' Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' Subject:'Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.
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Engineering
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monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell
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doi:10.18710/OWKABR
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Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow' Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' Subject:'Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.
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Mathematical Sciences
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monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell
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doi:10.18710/OWKABR
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Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow' Description:'Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.' Subject:'Engineering; Mathematical Sciences; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.Both Monte Carlo simulations and polynomial chaos expansions are implemented.
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Physics
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monte carlo; polynomial chaos; sensitivity analysis; two-phase flow; uncertainty quantification; unit cell
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doi:10.18710/PZQC4A
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Dataset for Design Ideation Study
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Analogical reasoning; Design ideation; Eye tracking'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Dataset for Design Ideation Study' Description:'Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ' Subject:'Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed.
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Engineering
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Analogical reasoning; Design ideation; Eye tracking
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doi:10.18710/PZQC4A
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Dataset for Design Ideation Study
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Analogical reasoning; Design ideation; Eye tracking'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Dataset for Design Ideation Study' Description:'Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed. ' Subject:'Engineering; Other. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Study information Design ideation study (N = 24) using eye tracking technology. Participants solved a total of twelve design problems while receiving inspirational stimuli on a monitor. Their task was to generate as many solutions to each problem and explain their solution briefly by thinking aloud. The study allows for getting further insight into how inspirational stimuli improve idea fluency during design ideation. This dataset features processed data from the experiment. Eye tracking data includes gaze data, fixation data, blink data, and pupillometry data for all participants. The study is based on the following research paper and follows the same experimental setup:Goucher-Lambert, K., Moss, J., & Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. DOIDataset Most files in the dataset are saved as CSV files or other human readable file formats. Large files are saved in Hierarchical Data Format (HDF5/H5) to allow for smaller file sizes and higher compression. All data is described thoroughly in 00_ReadMe.txt. The following processed data is included in the dataset: Concatenated annotations file of experimental flow for all participants (CSV).All eye tracking raw data in concatenated files. Annotated with only participant ID. (CSV/HDF5)Annotated eye tracking data for ideation routines only. A subset of the files above. (CSV/HDF5)Audio transcriptions from Google Cloud Speech-to-Text API of each recording with annotations. (CSV)Raw API response for each transcription. These files include time offset for each word in a recording. (JSON)Data for questionnaire feedback and ideas generated during the experiment. (CSV)Data for the post-experiment survey, including demographic information (TSV). Python code used for the open-source experimental setup and dataset construction is hosted at GitHub. Repository also includes code of how the dataset has been further processed.
|
Other
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Analogical reasoning; Design ideation; Eye tracking
|
doi:10.18710/QAYI4O
|
Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis' Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class
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Computer and Information Science
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Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar
|
doi:10.18710/QAYI4O
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Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis' Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class
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Earth and Environmental Sciences
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Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar
|
doi:10.18710/QAYI4O
|
Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis' Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class
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Engineering
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Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar
|
doi:10.18710/QAYI4O
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Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis' Description:'This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class
|
Physics
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Deep Learning; Ice Edge; Ice types; Remote Sensing; Synthetic-aperture radar
|
doi:10.18738/T8/SLYTC9
|
Panel Report on Veteran, Race, and Gender Bias in Tech Hiring
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Civilian transition; Technology support; Veterans'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Panel Report on Veteran, Race, and Gender Bias in Tech Hiring' Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' Subject:'Arts and Humanities; Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.
|
Arts and Humanities
|
Civilian transition; Technology support; Veterans
|
doi:10.18738/T8/SLYTC9
|
Panel Report on Veteran, Race, and Gender Bias in Tech Hiring
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Civilian transition; Technology support; Veterans'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Panel Report on Veteran, Race, and Gender Bias in Tech Hiring' Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' Subject:'Arts and Humanities; Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.
|
Computer and Information Science
|
Civilian transition; Technology support; Veterans
|
doi:10.18738/T8/SLYTC9
|
Panel Report on Veteran, Race, and Gender Bias in Tech Hiring
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Civilian transition; Technology support; Veterans'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Panel Report on Veteran, Race, and Gender Bias in Tech Hiring' Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' Subject:'Arts and Humanities; Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.
|
Engineering
|
Civilian transition; Technology support; Veterans
|
doi:10.18738/T8/SLYTC9
|
Panel Report on Veteran, Race, and Gender Bias in Tech Hiring
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Civilian transition; Technology support; Veterans'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Panel Report on Veteran, Race, and Gender Bias in Tech Hiring' Description:'This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.' Subject:'Arts and Humanities; Computer and Information Science; Engineering; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataverse includes informational content obtained from the Panel Session on Veteran, Race, and Gender Bias in Tech Hiring, held as part of the Texas A&M University IEEI Workshop on Gender and Racial Bias in Tech Industry Hiring.
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Social Sciences
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Civilian transition; Technology support; Veterans
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doi:10.18710/RVLSDM
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Replication data for: MultiPACK Project_Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset, in the context of the MultiPACK Project, describes the development of a CO2 air/water reversible heat pump, specifically investigating the domestic hot water (DHW) production operating mode. A dynamic model of the heat pump is developed with the software Simcenter Amesim. After validation against experimental data, the numerical model is utilized to predict the performance of the heat pump to varying hot water demand, evaporator air inlet conditions and high-pressure value, leading to the discussion of the optimal control strategy.A paper, based on this dataset, 'Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production (14th Gustav Lorentzen Conference, Kyoto, Japan, 6th- 9th December 2020, DOI:10.18462/iir.gl.2020.1160).' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Carbon Dioxide; COP; Domestic hot water; Energy Efficiency; Numerical model; Transcritical heat pump'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: MultiPACK Project_Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production' Description:'This dataset, in the context of the MultiPACK Project, describes the development of a CO2 air/water reversible heat pump, specifically investigating the domestic hot water (DHW) production operating mode. A dynamic model of the heat pump is developed with the software Simcenter Amesim. After validation against experimental data, the numerical model is utilized to predict the performance of the heat pump to varying hot water demand, evaporator air inlet conditions and high-pressure value, leading to the discussion of the optimal control strategy.A paper, based on this dataset, 'Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production (14th Gustav Lorentzen Conference, Kyoto, Japan, 6th- 9th December 2020, DOI:10.18462/iir.gl.2020.1160).' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset, in the context of the MultiPACK Project, describes the development of a CO2 air/water reversible heat pump, specifically investigating the domestic hot water (DHW) production operating mode. A dynamic model of the heat pump is developed with the software Simcenter Amesim. After validation against experimental data, the numerical model is utilized to predict the performance of the heat pump to varying hot water demand, evaporator air inlet conditions and high-pressure value, leading to the discussion of the optimal control strategy.A paper, based on this dataset, 'Experimental and numerical investigation of a transcritical CO2 air/water reversible heat pump: analysis of domestic hot water production (14th Gustav Lorentzen Conference, Kyoto, Japan, 6th- 9th December 2020, DOI:10.18462/iir.gl.2020.1160).
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Engineering
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Carbon Dioxide; COP; Domestic hot water; Energy Efficiency; Numerical model; Transcritical heat pump
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doi:10.18710/T5OHPR
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Replication Data for: MultiPACK Project_Field data of CO2 integrated refrigeration, heating and cooling systems for supermarkets.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset includes the data for two systems installed in the supermarkets in Italy within the project MultiPACK. The units are located in the cities of Rome and Trento and are called: Rome unit and Trento-Maccani unit. Daily operations are shown in typical winter, mid-season and summer operations, while one-year energy results are disclosed.The EU H2020 project MultiPACK has given the opportunity of installing three state-of-the-art CO2 systems for supermarkets in South Europe, able to supply all the required thermal energy needs of the site, i.e. refrigeration, heating, cooling and hot water production. The MultiPACK units include parallel compression, ejectors for expansion work recovery and liquid recirculation and evaporator overfeeding, together with full monitoring of operation and performances. After more than one year of operations, field data of two supermarkets installed in Italy are presented and operating conditions and performance are illustrated; KPI indicators are evaluated to prepare for comparison with traditional solutions. A maximum monthly average COP of 4.2 was measured in central Italy in March 2020. The average specific energy consumption, due to Refrigeration, AC and heating, referred to the shopping area, was found to be 111 and 146 kWh m-2year-1 for the two sites.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Heat Recovery'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project_Field data of CO2 integrated refrigeration, heating and cooling systems for supermarkets.' Description:'This dataset includes the data for two systems installed in the supermarkets in Italy within the project MultiPACK. The units are located in the cities of Rome and Trento and are called: Rome unit and Trento-Maccani unit. Daily operations are shown in typical winter, mid-season and summer operations, while one-year energy results are disclosed.The EU H2020 project MultiPACK has given the opportunity of installing three state-of-the-art CO2 systems for supermarkets in South Europe, able to supply all the required thermal energy needs of the site, i.e. refrigeration, heating, cooling and hot water production. The MultiPACK units include parallel compression, ejectors for expansion work recovery and liquid recirculation and evaporator overfeeding, together with full monitoring of operation and performances. After more than one year of operations, field data of two supermarkets installed in Italy are presented and operating conditions and performance are illustrated; KPI indicators are evaluated to prepare for comparison with traditional solutions. A maximum monthly average COP of 4.2 was measured in central Italy in March 2020. The average specific energy consumption, due to Refrigeration, AC and heating, referred to the shopping area, was found to be 111 and 146 kWh m-2year-1 for the two sites.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset includes the data for two systems installed in the supermarkets in Italy within the project MultiPACK. The units are located in the cities of Rome and Trento and are called: Rome unit and Trento-Maccani unit. Daily operations are shown in typical winter, mid-season and summer operations, while one-year energy results are disclosed.The EU H2020 project MultiPACK has given the opportunity of installing three state-of-the-art CO2 systems for supermarkets in South Europe, able to supply all the required thermal energy needs of the site, i.e. refrigeration, heating, cooling and hot water production. The MultiPACK units include parallel compression, ejectors for expansion work recovery and liquid recirculation and evaporator overfeeding, together with full monitoring of operation and performances. After more than one year of operations, field data of two supermarkets installed in Italy are presented and operating conditions and performance are illustrated; KPI indicators are evaluated to prepare for comparison with traditional solutions. A maximum monthly average COP of 4.2 was measured in central Italy in March 2020. The average specific energy consumption, due to Refrigeration, AC and heating, referred to the shopping area, was found to be 111 and 146 kWh m-2year-1 for the two sites.
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Engineering
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Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Heat Recovery
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doi:10.18710/TKS7SI
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Experimental data for force reconstruction using impact hammer and deflectometry
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains experimental data acquired during a hammer impact onto a 300 mm x 300 mm x 5 mm steel plate. The dataset contains images captured by a high-speed camera suitable for deflectometry, allowing for slope measurements for the purpose of reconstruction of the force applied to the plate.The force applied from the impact hammer onto the steel plate was measured by a calibrated load cell on the tip of the impact hammer.The dataset is intended for load reconstruction using the virtual fields method.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Deflectometry; Experimental mechanics; Load reconstruction; Virtual Fields Method'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Experimental data for force reconstruction using impact hammer and deflectometry' Description:'This dataset contains experimental data acquired during a hammer impact onto a 300 mm x 300 mm x 5 mm steel plate. The dataset contains images captured by a high-speed camera suitable for deflectometry, allowing for slope measurements for the purpose of reconstruction of the force applied to the plate.The force applied from the impact hammer onto the steel plate was measured by a calibrated load cell on the tip of the impact hammer.The dataset is intended for load reconstruction using the virtual fields method.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset contains experimental data acquired during a hammer impact onto a 300 mm x 300 mm x 5 mm steel plate. The dataset contains images captured by a high-speed camera suitable for deflectometry, allowing for slope measurements for the purpose of reconstruction of the force applied to the plate.The force applied from the impact hammer onto the steel plate was measured by a calibrated load cell on the tip of the impact hammer.The dataset is intended for load reconstruction using the virtual fields method.
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Engineering
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Deflectometry; Experimental mechanics; Load reconstruction; Virtual Fields Method
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doi:10.18710/UNIYBZ
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Replication Data for: MultiPACK Project: Field data of integrated CO2 heat pump systems for Italian hotels in the MultiPACK project
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The EU project MultiPACK supports the design, construction, installation and monitoring of reversible heat pump units using CO2 as the refrigerant, providing air conditioning, heating and domestic hot water. The design includes the use of two-phase ejectors and natural circulation evaporators to improve efficiency and can use both external air and water as heat source/sink.Two units were installed in Italian hotels to provide full energy services in a water/water configuration, or to provide cooling and domestic hot water in an air/water lay-out.After an extensive test campaign, data from the field is collected. This dataset includes necessary field data.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Heat Recovery'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project: Field data of integrated CO2 heat pump systems for Italian hotels in the MultiPACK project' Description:'The EU project MultiPACK supports the design, construction, installation and monitoring of reversible heat pump units using CO2 as the refrigerant, providing air conditioning, heating and domestic hot water. The design includes the use of two-phase ejectors and natural circulation evaporators to improve efficiency and can use both external air and water as heat source/sink.Two units were installed in Italian hotels to provide full energy services in a water/water configuration, or to provide cooling and domestic hot water in an air/water lay-out.After an extensive test campaign, data from the field is collected. This dataset includes necessary field data.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The EU project MultiPACK supports the design, construction, installation and monitoring of reversible heat pump units using CO2 as the refrigerant, providing air conditioning, heating and domestic hot water. The design includes the use of two-phase ejectors and natural circulation evaporators to improve efficiency and can use both external air and water as heat source/sink.Two units were installed in Italian hotels to provide full energy services in a water/water configuration, or to provide cooling and domestic hot water in an air/water lay-out.After an extensive test campaign, data from the field is collected. This dataset includes necessary field data.
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Engineering
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Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Heat Recovery
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doi:10.18710/USMPRX
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Replication Data for: MultiPACK Project_The MultiPACK project: installation and monitoring of integrated commercial refrigeration systems in South Europe
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset includes the data for two transcritical CO2 refrigeration systems installed in Italy and Portugal within the project MultiPACK. The real performance of the units providing refrigeration and space air condition is measured.the data was collected from two different sites/units:The unit in Central ItalyThe unit is based on a booster concept with parallel compression and expansion work recovery by means of ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for each suction pressure level. For each suction group, one out of the three compressors is inverter-driven to allow a smoother capacity modulation. The unit delivers the heating demand and the cooling loads of the supermarket by means of an Air Handling Unit AHU. The CO2 directly flows through the heating and cooling coils of the AHU. The unit in PortugalThe MultiPACK system is based on a booster concept with parallel compression and expansion work recovery by ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for both MT and LT suction groups and four compressors for the Auxiliary compression suction group. For each suction group, one compressor is inverter-driven to allow a smoother capacity modulation. The unit also delivers the entire heating and cooling loads of the supermarket by means of two air handling units AHU.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Europe; Evaporators; Heat Recovery'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: MultiPACK Project_The MultiPACK project: installation and monitoring of integrated commercial refrigeration systems in South Europe' Description:'This dataset includes the data for two transcritical CO2 refrigeration systems installed in Italy and Portugal within the project MultiPACK. The real performance of the units providing refrigeration and space air condition is measured.the data was collected from two different sites/units:The unit in Central ItalyThe unit is based on a booster concept with parallel compression and expansion work recovery by means of ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for each suction pressure level. For each suction group, one out of the three compressors is inverter-driven to allow a smoother capacity modulation. The unit delivers the heating demand and the cooling loads of the supermarket by means of an Air Handling Unit AHU. The CO2 directly flows through the heating and cooling coils of the AHU. The unit in PortugalThe MultiPACK system is based on a booster concept with parallel compression and expansion work recovery by ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for both MT and LT suction groups and four compressors for the Auxiliary compression suction group. For each suction group, one compressor is inverter-driven to allow a smoother capacity modulation. The unit also delivers the entire heating and cooling loads of the supermarket by means of two air handling units AHU.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset includes the data for two transcritical CO2 refrigeration systems installed in Italy and Portugal within the project MultiPACK. The real performance of the units providing refrigeration and space air condition is measured.the data was collected from two different sites/units:The unit in Central ItalyThe unit is based on a booster concept with parallel compression and expansion work recovery by means of ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for each suction pressure level. For each suction group, one out of the three compressors is inverter-driven to allow a smoother capacity modulation. The unit delivers the heating demand and the cooling loads of the supermarket by means of an Air Handling Unit AHU. The CO2 directly flows through the heating and cooling coils of the AHU. The unit in PortugalThe MultiPACK system is based on a booster concept with parallel compression and expansion work recovery by ejectors for both vapour pre-compression and liquid recirculation. Semi-hermetic compressors are installed, three compressors for both MT and LT suction groups and four compressors for the Auxiliary compression suction group. For each suction group, one compressor is inverter-driven to allow a smoother capacity modulation. The unit also delivers the entire heating and cooling loads of the supermarket by means of two air handling units AHU.
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Engineering
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Carbon Dioxide; Commercial Refrigeration; Domestic hot water; Energy Efficiency; Europe; Evaporators; Heat Recovery
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doi:10.18710/VIJXTL
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Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Calibration; Point cloud; Registration; RGB-D; Vision'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' Description:'Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.
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Computer and Information Science
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Calibration; Point cloud; Registration; RGB-D; Vision
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doi:10.18710/VIJXTL
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Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Calibration; Point cloud; Registration; RGB-D; Vision'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' Description:'Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper 'Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.' The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.
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Engineering
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Calibration; Point cloud; Registration; RGB-D; Vision
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doi:10.18710/WNKSVX
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Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'bidding strategies; gradient boosting; hydropower; neural network; reservoir hydro'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables' Description:'Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway
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Computer and Information Science
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bidding strategies; gradient boosting; hydropower; neural network; reservoir hydro
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doi:10.18710/WNKSVX
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Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'bidding strategies; gradient boosting; hydropower; neural network; reservoir hydro'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables' Description:'Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway' Subject:'Computer and Information Science; Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Access to an increasing amount of data opens for the application of machine learningmodels to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway
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Engineering
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bidding strategies; gradient boosting; hydropower; neural network; reservoir hydro
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doi:10.18710/Z33Q8X
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Replication data for:MultiPACK Project: Two years of data monitoring of all-CO2 retail stores within the MultiPACK project
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset includes the data for two different integrated units installed in typical Italian neighbourhood supermarkets are considered. The two supermarkets are respectively located in the north-east area of Italy (Trento, Figure 1a), characterized by a relatively mild climate during summer and an harsh winter, and in the central area of Italy (Rome, Figure 1b) which is characterized by warmer winter and hot summer instead. This difference in the type of climates where the installations are located, gives the opportunity to analyse and compare the performance of the MultiPACK CO2 integrated units at different external environment conditions. According to EN ISO 13926-6:2008, the Heating Degree Days of Rome and Trento are equal to 1415 and 3001 days respectively. As for the external ambient conditions (dry bulb temperature and relative humidity), they are taken from an official meteo station close to the supermarkets (http://storico.meteotrentino.it for Trento and http://meteoeplus.pd.cnr.it/stations/summary-rm01e.php for Rome)' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Carbon Dioxide; Commercial Refrigeration; Ejector; energy efficient; Heat pump; Integrated unit'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for:MultiPACK Project: Two years of data monitoring of all-CO2 retail stores within the MultiPACK project' Description:'This dataset includes the data for two different integrated units installed in typical Italian neighbourhood supermarkets are considered. The two supermarkets are respectively located in the north-east area of Italy (Trento, Figure 1a), characterized by a relatively mild climate during summer and an harsh winter, and in the central area of Italy (Rome, Figure 1b) which is characterized by warmer winter and hot summer instead. This difference in the type of climates where the installations are located, gives the opportunity to analyse and compare the performance of the MultiPACK CO2 integrated units at different external environment conditions. According to EN ISO 13926-6:2008, the Heating Degree Days of Rome and Trento are equal to 1415 and 3001 days respectively. As for the external ambient conditions (dry bulb temperature and relative humidity), they are taken from an official meteo station close to the supermarkets (http://storico.meteotrentino.it for Trento and http://meteoeplus.pd.cnr.it/stations/summary-rm01e.php for Rome)' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset includes the data for two different integrated units installed in typical Italian neighbourhood supermarkets are considered. The two supermarkets are respectively located in the north-east area of Italy (Trento, Figure 1a), characterized by a relatively mild climate during summer and an harsh winter, and in the central area of Italy (Rome, Figure 1b) which is characterized by warmer winter and hot summer instead. This difference in the type of climates where the installations are located, gives the opportunity to analyse and compare the performance of the MultiPACK CO2 integrated units at different external environment conditions. According to EN ISO 13926-6:2008, the Heating Degree Days of Rome and Trento are equal to 1415 and 3001 days respectively. As for the external ambient conditions (dry bulb temperature and relative humidity), they are taken from an official meteo station close to the supermarkets (http://storico.meteotrentino.it for Trento and http://meteoeplus.pd.cnr.it/stations/summary-rm01e.php for Rome)
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Engineering
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Carbon Dioxide; Commercial Refrigeration; Ejector; energy efficient; Heat pump; Integrated unit
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doi:10.18710/ZOJHGJ
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Replication Data for: Vortex imprints on a free surface as proxy for surface divergence
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Free-Surface; Turbulence; Vortex; Wavelet Analysis'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Vortex imprints on a free surface as proxy for surface divergence' Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.
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Computer and Information Science
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Free-Surface; Turbulence; Vortex; Wavelet Analysis
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doi:10.18710/ZOJHGJ
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Replication Data for: Vortex imprints on a free surface as proxy for surface divergence
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Free-Surface; Turbulence; Vortex; Wavelet Analysis'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Vortex imprints on a free surface as proxy for surface divergence' Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.
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Earth and Environmental Sciences
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Free-Surface; Turbulence; Vortex; Wavelet Analysis
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doi:10.18710/ZOJHGJ
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Replication Data for: Vortex imprints on a free surface as proxy for surface divergence
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Free-Surface; Turbulence; Vortex; Wavelet Analysis'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Vortex imprints on a free surface as proxy for surface divergence' Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.
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Engineering
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Free-Surface; Turbulence; Vortex; Wavelet Analysis
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doi:10.18710/ZOJHGJ
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Replication Data for: Vortex imprints on a free surface as proxy for surface divergence
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Free-Surface; Turbulence; Vortex; Wavelet Analysis'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Vortex imprints on a free surface as proxy for surface divergence' Description:'This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.' Subject:'Computer and Information Science; Earth and Environmental Sciences; Engineering; Physics. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is a complementary data and computer code set to the accepted manuscript 'Vortex imprints on a free surface as proxy for surface divergence'. It contains the surface layer of the DNS data set used and the code to analyse it in the ways described in the article. The European Union and the Research Council of Norway funded the work. The research by A. Xuan and L. Shen is also supported by the Office of Naval Research and National Science Foundation. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.
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Physics
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Free-Surface; Turbulence; Vortex; Wavelet Analysis
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doi:10.18738/T8/1XMHZD
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Ideal Baseband HE-SU 802.11 ax Downlink WiFi Signals with 20 MHz Bandwidth
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset consists IQ samples of ideal, single-user (HE-SU), 20 MHz bandwidth, downlink 802.11ax WiFi signals. The signals are generated using the WLAN toolbox in MATLAB (version R2021b). The sampling rate used for data generation is 20 MHz. The payload consists of random bits and each signal (data file) consists of five packets with no idle time between each packet. The IQ samples from each signal are stored as complex column vector in file WLAN802-11ax_data_#, where # is an integer used to index the file name. The corresponding file WLAN802-11ax_parameters_# consists of the unique configuration parameters used to generate the data file. If multiple transmit antennas (multiple data streams) are present, then each data stream is entered as a column vector in the data file. Details on the configuration settings are listed in the Readme available with this dataset.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Microwave receivers; Training data; WiFi 802.11 ax; Wireless signals'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Ideal Baseband HE-SU 802.11 ax Downlink WiFi Signals with 20 MHz Bandwidth' Description:'This dataset consists IQ samples of ideal, single-user (HE-SU), 20 MHz bandwidth, downlink 802.11ax WiFi signals. The signals are generated using the WLAN toolbox in MATLAB (version R2021b). The sampling rate used for data generation is 20 MHz. The payload consists of random bits and each signal (data file) consists of five packets with no idle time between each packet. The IQ samples from each signal are stored as complex column vector in file WLAN802-11ax_data_#, where # is an integer used to index the file name. The corresponding file WLAN802-11ax_parameters_# consists of the unique configuration parameters used to generate the data file. If multiple transmit antennas (multiple data streams) are present, then each data stream is entered as a column vector in the data file. Details on the configuration settings are listed in the Readme available with this dataset.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset consists IQ samples of ideal, single-user (HE-SU), 20 MHz bandwidth, downlink 802.11ax WiFi signals. The signals are generated using the WLAN toolbox in MATLAB (version R2021b). The sampling rate used for data generation is 20 MHz. The payload consists of random bits and each signal (data file) consists of five packets with no idle time between each packet. The IQ samples from each signal are stored as complex column vector in file WLAN802-11ax_data_#, where # is an integer used to index the file name. The corresponding file WLAN802-11ax_parameters_# consists of the unique configuration parameters used to generate the data file. If multiple transmit antennas (multiple data streams) are present, then each data stream is entered as a column vector in the data file. Details on the configuration settings are listed in the Readme available with this dataset.
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Engineering
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Microwave receivers; Training data; WiFi 802.11 ax; Wireless signals
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doi:10.18738/T8/3FCFBX
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mineral_low_ca_connected_M3
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Fluid displaced: mineral oilCapillary number: lowFracture status: connected, M3' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'microfluidics'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'mineral_low_ca_connected_M3' Description:'Fluid displaced: mineral oilCapillary number: lowFracture status: connected, M3' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Fluid displaced: mineral oilCapillary number: lowFracture status: connected, M3
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Engineering
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microfluidics
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doi:10.18738/T8/3MLRLO
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Barnett Shale in Texas: Promise and Problems
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Estimates of Production from Barnett Shale by Tadeusz Patzek' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Shale gas production; Barnett Shale'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Barnett Shale in Texas: Promise and Problems' Description:'Estimates of Production from Barnett Shale by Tadeusz Patzek' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Estimates of Production from Barnett Shale by Tadeusz Patzek
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Engineering
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Shale gas production; Barnett Shale
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doi:10.18738/T8/3RJNCI
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Description of the dataset
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Description of all files in the dataset.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'mechanics, histology, right ventricle'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Description of the dataset' Description:'Description of all files in the dataset.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Description of all files in the dataset.
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Engineering
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mechanics, histology, right ventricle
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doi:10.18738/T8/3RJNCI
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Description of the dataset
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Description of all files in the dataset.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'mechanics, histology, right ventricle'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Description of the dataset' Description:'Description of all files in the dataset.' Subject:'Engineering; Medicine, Health and Life Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Description of all files in the dataset.
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Medicine, Health and Life Sciences
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mechanics, histology, right ventricle
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doi:10.18738/T8/5GJ6ST
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PipeAC code and supporting data
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'PipeAC code and supporting data for PipeAC model for the manuscript 'An artificial compressibility method for 1D simulation of open-channel and pressurized-pipe flow'.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'numerical model'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'PipeAC code and supporting data' Description:'PipeAC code and supporting data for PipeAC model for the manuscript 'An artificial compressibility method for 1D simulation of open-channel and pressurized-pipe flow'.' Subject:'Engineering. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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PipeAC code and supporting data for PipeAC model for the manuscript 'An artificial compressibility method for 1D simulation of open-channel and pressurized-pipe flow'.
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Engineering
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numerical model
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doi:10.11588/data/PAMQ0B
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Copy Trading [Dataset]
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'copy trading; experiment; financial markets; imitation; social networks'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Copy Trading [Dataset]' Description:'Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.
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Business and Management
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copy trading; experiment; financial markets; imitation; social networks
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doi:10.11588/data/PAMQ0B
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Copy Trading [Dataset]
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'copy trading; experiment; financial markets; imitation; social networks'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Copy Trading [Dataset]' Description:'Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper studies the implications of copy trading for the risk taking of investors. Implementing a novel experimental financial asset market, we show that providing information on the success of others leads to a significant increase in risk taking of subjects. This increase in risk taking is even larger when subjects are provided with the option to directly copy others. We conclude that copy trading leads to excessive risk taking.
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Social Sciences
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copy trading; experiment; financial markets; imitation; social networks
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doi:10.15139/S3/0YBZVL
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Paycheck Protection Program (PPP) loans
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'paycheck protection program, business, loan, federal, pandemic, coronavirus, relief, small business administration, SBA'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Paycheck Protection Program (PPP) loans' Description:'The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.
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Business and Management
|
paycheck protection program, business, loan, federal, pandemic, coronavirus, relief, small business administration, SBA
|
doi:10.15139/S3/0YBZVL
|
Paycheck Protection Program (PPP) loans
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'paycheck protection program, business, loan, federal, pandemic, coronavirus, relief, small business administration, SBA'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Paycheck Protection Program (PPP) loans' Description:'The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The extract lists Paycheck Protection Program (PPP) loans across North Carolina from April through August 2020. The data is based on information submitted by lenders to the Small Businesses Administration (SBA).Data is available for the aforementioned period in two separate categories of loans: those under and above $150,000. The temporal resolution is daily and the spatial resolution is at the zip code level.
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Social Sciences
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paycheck protection program, business, loan, federal, pandemic, coronavirus, relief, small business administration, SBA
|
doi:10.15139/S3/HB2FH2
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Small businesses open
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020.Temporal and spatial resolutionThe data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average.Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'operations, hours, business, local, small, closure, pandemic, coronavirus'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Small businesses open' Description:'This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020.Temporal and spatial resolutionThe data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average.Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020.Temporal and spatial resolutionThe data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average.Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.
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Business and Management
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operations, hours, business, local, small, closure, pandemic, coronavirus
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doi:10.15139/S3/HB2FH2
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Small businesses open
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020.Temporal and spatial resolutionThe data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average.Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'operations, hours, business, local, small, closure, pandemic, coronavirus'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Small businesses open' Description:'This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020.Temporal and spatial resolutionThe data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average.Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset represents a single index value representing the percent change in the number of open small businesses in North Carolina counties. It is calculated as a seven-day moving average, seasonally adjusted and indexed to January 4-31 2020.Temporal and spatial resolutionThe data obtained from the Opportunity Insights data repository in Github reports daily percentage change in the number of open small businesses compared to January levels. The data is then aggregated as a rolling seven-day average.Twenty-two of North Carolina’s 100 counties are represented in this dataset, none of which are non-CBSA (outside of both metropolitan and micropolitan areas). Additionally, only one county is identified as having high pre-existing unemployment, and two as having lower median income. As a result, the dataset disproportionately represents relatively prosperous metropolitan centers and does not represent other regions of the state.
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Social Sciences
|
operations, hours, business, local, small, closure, pandemic, coronavirus
|
doi:10.15139/S3/VMCS6Y
|
Mass layoffs/closures
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'These reports list all North Carolina companies that filed a WARN notice with the North Carolina Department of Commerce. All layoffs and closures affecting 50 or more employees are required to report. As a result, this dataset reflects only mass layoffs and closures and does not include smaller job loss events.WARN reports are provided with a notice date, received date, and effective date for each event. While notice and received dates are generally very close, the effective date has more variation, ranging from a few weeks to a few months in the future. The reports are updated on the website approximately once a month. A glitch in the Department of Commerce’s software in early October has temporarily discontinued subsequent updates.WARN reports include the physical address of the establishment reporting the closure, as well as the county in which the closure takes place.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'layoff, closure, permanent, temporary, workforce, work, employment, employee, employer, establishment, business, commerce'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Mass layoffs/closures' Description:'These reports list all North Carolina companies that filed a WARN notice with the North Carolina Department of Commerce. All layoffs and closures affecting 50 or more employees are required to report. As a result, this dataset reflects only mass layoffs and closures and does not include smaller job loss events.WARN reports are provided with a notice date, received date, and effective date for each event. While notice and received dates are generally very close, the effective date has more variation, ranging from a few weeks to a few months in the future. The reports are updated on the website approximately once a month. A glitch in the Department of Commerce’s software in early October has temporarily discontinued subsequent updates.WARN reports include the physical address of the establishment reporting the closure, as well as the county in which the closure takes place.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
These reports list all North Carolina companies that filed a WARN notice with the North Carolina Department of Commerce. All layoffs and closures affecting 50 or more employees are required to report. As a result, this dataset reflects only mass layoffs and closures and does not include smaller job loss events.WARN reports are provided with a notice date, received date, and effective date for each event. While notice and received dates are generally very close, the effective date has more variation, ranging from a few weeks to a few months in the future. The reports are updated on the website approximately once a month. A glitch in the Department of Commerce’s software in early October has temporarily discontinued subsequent updates.WARN reports include the physical address of the establishment reporting the closure, as well as the county in which the closure takes place.
|
Business and Management
|
layoff, closure, permanent, temporary, workforce, work, employment, employee, employer, establishment, business, commerce
|
doi:10.15139/S3/VMCS6Y
|
Mass layoffs/closures
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'These reports list all North Carolina companies that filed a WARN notice with the North Carolina Department of Commerce. All layoffs and closures affecting 50 or more employees are required to report. As a result, this dataset reflects only mass layoffs and closures and does not include smaller job loss events.WARN reports are provided with a notice date, received date, and effective date for each event. While notice and received dates are generally very close, the effective date has more variation, ranging from a few weeks to a few months in the future. The reports are updated on the website approximately once a month. A glitch in the Department of Commerce’s software in early October has temporarily discontinued subsequent updates.WARN reports include the physical address of the establishment reporting the closure, as well as the county in which the closure takes place.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'layoff, closure, permanent, temporary, workforce, work, employment, employee, employer, establishment, business, commerce'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Mass layoffs/closures' Description:'These reports list all North Carolina companies that filed a WARN notice with the North Carolina Department of Commerce. All layoffs and closures affecting 50 or more employees are required to report. As a result, this dataset reflects only mass layoffs and closures and does not include smaller job loss events.WARN reports are provided with a notice date, received date, and effective date for each event. While notice and received dates are generally very close, the effective date has more variation, ranging from a few weeks to a few months in the future. The reports are updated on the website approximately once a month. A glitch in the Department of Commerce’s software in early October has temporarily discontinued subsequent updates.WARN reports include the physical address of the establishment reporting the closure, as well as the county in which the closure takes place.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
These reports list all North Carolina companies that filed a WARN notice with the North Carolina Department of Commerce. All layoffs and closures affecting 50 or more employees are required to report. As a result, this dataset reflects only mass layoffs and closures and does not include smaller job loss events.WARN reports are provided with a notice date, received date, and effective date for each event. While notice and received dates are generally very close, the effective date has more variation, ranging from a few weeks to a few months in the future. The reports are updated on the website approximately once a month. A glitch in the Department of Commerce’s software in early October has temporarily discontinued subsequent updates.WARN reports include the physical address of the establishment reporting the closure, as well as the county in which the closure takes place.
|
Social Sciences
|
layoff, closure, permanent, temporary, workforce, work, employment, employee, employer, establishment, business, commerce
|
doi:10.18710/5MS1JK
|
Using an algorithmic approach for grouping roles and sub-units
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data for examples used in article to be published in Journal of Organizational Design, 2020. The purpose of the article is to describe a new tool - Reconfig - for mapping and optimizing organizational design (i.e., formal structure) based on data about work process interdependencies. The tool takes DSM (Design Structure Matrix) data as the input and used a clustering algorithm to group the elements in a more optimal manner. The data are related to two pilot projects where the tool was used, and include both the current organization and the clustered (optimized) solution.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Design Structure Matrix; Evolutionary algorithm; Organization design'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Using an algorithmic approach for grouping roles and sub-units' Description:'Data for examples used in article to be published in Journal of Organizational Design, 2020. The purpose of the article is to describe a new tool - Reconfig - for mapping and optimizing organizational design (i.e., formal structure) based on data about work process interdependencies. The tool takes DSM (Design Structure Matrix) data as the input and used a clustering algorithm to group the elements in a more optimal manner. The data are related to two pilot projects where the tool was used, and include both the current organization and the clustered (optimized) solution.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Data for examples used in article to be published in Journal of Organizational Design, 2020. The purpose of the article is to describe a new tool - Reconfig - for mapping and optimizing organizational design (i.e., formal structure) based on data about work process interdependencies. The tool takes DSM (Design Structure Matrix) data as the input and used a clustering algorithm to group the elements in a more optimal manner. The data are related to two pilot projects where the tool was used, and include both the current organization and the clustered (optimized) solution.
|
Business and Management
|
Design Structure Matrix; Evolutionary algorithm; Organization design
|
doi:10.18710/CZRKNZ
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Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Abstract: Recent research points out serious weaknesses in the current academic discourses of circular economy, among others the lack of understanding of the politics behind a circular economy transition. In this paper we thus inquiry: What contingencies does the CE discourse carries as part of the discourse structuration and institutionalization? Norway is an extreme case to tackle this question given a state lead initiative to promote circular economy, and the country’s well-known international role in promoting greening discourses. We found two tension points in the current discourse on circular economy: i) International drivers versus regional and local transition arenas and ii) Clearly marked eco-modernization promotion as policy priority versus sectoral transformation. These findings indicate the need for civil society actors to unleash indirect power in order to problematize circular economy through a more radical discourse structuration. Our findings thus contribute with a better understanding of the power dynamics behind the discourse construction of circular economy, and choices made to the technologies and sectors benefiting of the current discourse. Similarly, we call for further phronetic social science perspectives in the study of circular economy. Our results contribute to the academic debate on questions such as where are we going with the circular economy? who gains and who loses with the circular economy? Is this development of the circular economy desirable? And what should we do about it?' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'circular economy; discourse analysis; environmental politics; Norway'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway' Description:'Abstract: Recent research points out serious weaknesses in the current academic discourses of circular economy, among others the lack of understanding of the politics behind a circular economy transition. In this paper we thus inquiry: What contingencies does the CE discourse carries as part of the discourse structuration and institutionalization? Norway is an extreme case to tackle this question given a state lead initiative to promote circular economy, and the country’s well-known international role in promoting greening discourses. We found two tension points in the current discourse on circular economy: i) International drivers versus regional and local transition arenas and ii) Clearly marked eco-modernization promotion as policy priority versus sectoral transformation. These findings indicate the need for civil society actors to unleash indirect power in order to problematize circular economy through a more radical discourse structuration. Our findings thus contribute with a better understanding of the power dynamics behind the discourse construction of circular economy, and choices made to the technologies and sectors benefiting of the current discourse. Similarly, we call for further phronetic social science perspectives in the study of circular economy. Our results contribute to the academic debate on questions such as where are we going with the circular economy? who gains and who loses with the circular economy? Is this development of the circular economy desirable? And what should we do about it?' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Abstract: Recent research points out serious weaknesses in the current academic discourses of circular economy, among others the lack of understanding of the politics behind a circular economy transition. In this paper we thus inquiry: What contingencies does the CE discourse carries as part of the discourse structuration and institutionalization? Norway is an extreme case to tackle this question given a state lead initiative to promote circular economy, and the country’s well-known international role in promoting greening discourses. We found two tension points in the current discourse on circular economy: i) International drivers versus regional and local transition arenas and ii) Clearly marked eco-modernization promotion as policy priority versus sectoral transformation. These findings indicate the need for civil society actors to unleash indirect power in order to problematize circular economy through a more radical discourse structuration. Our findings thus contribute with a better understanding of the power dynamics behind the discourse construction of circular economy, and choices made to the technologies and sectors benefiting of the current discourse. Similarly, we call for further phronetic social science perspectives in the study of circular economy. Our results contribute to the academic debate on questions such as where are we going with the circular economy? who gains and who loses with the circular economy? Is this development of the circular economy desirable? And what should we do about it?
|
Business and Management
|
circular economy; discourse analysis; environmental politics; Norway
|
doi:10.18710/CZRKNZ
|
Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Abstract: Recent research points out serious weaknesses in the current academic discourses of circular economy, among others the lack of understanding of the politics behind a circular economy transition. In this paper we thus inquiry: What contingencies does the CE discourse carries as part of the discourse structuration and institutionalization? Norway is an extreme case to tackle this question given a state lead initiative to promote circular economy, and the country’s well-known international role in promoting greening discourses. We found two tension points in the current discourse on circular economy: i) International drivers versus regional and local transition arenas and ii) Clearly marked eco-modernization promotion as policy priority versus sectoral transformation. These findings indicate the need for civil society actors to unleash indirect power in order to problematize circular economy through a more radical discourse structuration. Our findings thus contribute with a better understanding of the power dynamics behind the discourse construction of circular economy, and choices made to the technologies and sectors benefiting of the current discourse. Similarly, we call for further phronetic social science perspectives in the study of circular economy. Our results contribute to the academic debate on questions such as where are we going with the circular economy? who gains and who loses with the circular economy? Is this development of the circular economy desirable? And what should we do about it?' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'circular economy; discourse analysis; environmental politics; Norway'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway' Description:'Abstract: Recent research points out serious weaknesses in the current academic discourses of circular economy, among others the lack of understanding of the politics behind a circular economy transition. In this paper we thus inquiry: What contingencies does the CE discourse carries as part of the discourse structuration and institutionalization? Norway is an extreme case to tackle this question given a state lead initiative to promote circular economy, and the country’s well-known international role in promoting greening discourses. We found two tension points in the current discourse on circular economy: i) International drivers versus regional and local transition arenas and ii) Clearly marked eco-modernization promotion as policy priority versus sectoral transformation. These findings indicate the need for civil society actors to unleash indirect power in order to problematize circular economy through a more radical discourse structuration. Our findings thus contribute with a better understanding of the power dynamics behind the discourse construction of circular economy, and choices made to the technologies and sectors benefiting of the current discourse. Similarly, we call for further phronetic social science perspectives in the study of circular economy. Our results contribute to the academic debate on questions such as where are we going with the circular economy? who gains and who loses with the circular economy? Is this development of the circular economy desirable? And what should we do about it?' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Abstract: Recent research points out serious weaknesses in the current academic discourses of circular economy, among others the lack of understanding of the politics behind a circular economy transition. In this paper we thus inquiry: What contingencies does the CE discourse carries as part of the discourse structuration and institutionalization? Norway is an extreme case to tackle this question given a state lead initiative to promote circular economy, and the country’s well-known international role in promoting greening discourses. We found two tension points in the current discourse on circular economy: i) International drivers versus regional and local transition arenas and ii) Clearly marked eco-modernization promotion as policy priority versus sectoral transformation. These findings indicate the need for civil society actors to unleash indirect power in order to problematize circular economy through a more radical discourse structuration. Our findings thus contribute with a better understanding of the power dynamics behind the discourse construction of circular economy, and choices made to the technologies and sectors benefiting of the current discourse. Similarly, we call for further phronetic social science perspectives in the study of circular economy. Our results contribute to the academic debate on questions such as where are we going with the circular economy? who gains and who loses with the circular economy? Is this development of the circular economy desirable? And what should we do about it?
|
Social Sciences
|
circular economy; discourse analysis; environmental politics; Norway
|
doi:10.18710/CZRKNZ
|
Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains mainly text documents, and the qualitative coding scheme used to analyze the key discourses on circular economy by the Norwegian state and by civil society actors involved in research, development and innovation projects. The dataset is thus forming of a collection of documents about circular economy from the Norwegian government portal (123 files as PDF). A second set of documents is about R&D and innovation projects focusing on circular economy, this set of documents is downloaded from the Research Council of Norway. In addition to the original documents, we included two files that present the analytical structure to analyze the discourse of the set of documents.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'circular economy; discourse analysis; environmental politics; Norway'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway' Description:'This dataset contains mainly text documents, and the qualitative coding scheme used to analyze the key discourses on circular economy by the Norwegian state and by civil society actors involved in research, development and innovation projects. The dataset is thus forming of a collection of documents about circular economy from the Norwegian government portal (123 files as PDF). A second set of documents is about R&D and innovation projects focusing on circular economy, this set of documents is downloaded from the Research Council of Norway. In addition to the original documents, we included two files that present the analytical structure to analyze the discourse of the set of documents.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This dataset contains mainly text documents, and the qualitative coding scheme used to analyze the key discourses on circular economy by the Norwegian state and by civil society actors involved in research, development and innovation projects. The dataset is thus forming of a collection of documents about circular economy from the Norwegian government portal (123 files as PDF). A second set of documents is about R&D and innovation projects focusing on circular economy, this set of documents is downloaded from the Research Council of Norway. In addition to the original documents, we included two files that present the analytical structure to analyze the discourse of the set of documents.
|
Business and Management
|
circular economy; discourse analysis; environmental politics; Norway
|
doi:10.18710/CZRKNZ
|
Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset contains mainly text documents, and the qualitative coding scheme used to analyze the key discourses on circular economy by the Norwegian state and by civil society actors involved in research, development and innovation projects. The dataset is thus forming of a collection of documents about circular economy from the Norwegian government portal (123 files as PDF). A second set of documents is about R&D and innovation projects focusing on circular economy, this set of documents is downloaded from the Research Council of Norway. In addition to the original documents, we included two files that present the analytical structure to analyze the discourse of the set of documents.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'circular economy; discourse analysis; environmental politics; Norway'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Contingencies of circular economy; Discourse hegemony and institutionalization in Norway' Description:'This dataset contains mainly text documents, and the qualitative coding scheme used to analyze the key discourses on circular economy by the Norwegian state and by civil society actors involved in research, development and innovation projects. The dataset is thus forming of a collection of documents about circular economy from the Norwegian government portal (123 files as PDF). A second set of documents is about R&D and innovation projects focusing on circular economy, this set of documents is downloaded from the Research Council of Norway. In addition to the original documents, we included two files that present the analytical structure to analyze the discourse of the set of documents.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset contains mainly text documents, and the qualitative coding scheme used to analyze the key discourses on circular economy by the Norwegian state and by civil society actors involved in research, development and innovation projects. The dataset is thus forming of a collection of documents about circular economy from the Norwegian government portal (123 files as PDF). A second set of documents is about R&D and innovation projects focusing on circular economy, this set of documents is downloaded from the Research Council of Norway. In addition to the original documents, we included two files that present the analytical structure to analyze the discourse of the set of documents.
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Social Sciences
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circular economy; discourse analysis; environmental politics; Norway
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doi:10.18710/EBBMHF
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Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.' Subject:'Arts and Humanities; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.
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Arts and Humanities
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action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education
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doi:10.18710/EBBMHF
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Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.' Subject:'Arts and Humanities; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.
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Business and Management
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action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education
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doi:10.18710/EBBMHF
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Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.' Subject:'Arts and Humanities; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Abstract: In the context of enormous global challenges such as climate change, poverty, and the unequal distribution of wealth, sustainability education within higher education has gained momentum as a tool to train a new generation of change agents. In practice, previous research has examined the relationship between sustainability education and entrepreneurship education. Both educational domains share similar teaching and learning frameworks as they both seek to train action-oriented professionals. Yet despite these similarities, there is a knowledge gap regarding course development strategies that can integrate entrepreneurship competencies into sustainability education. Following a classroom action research (AR) approach, we developed a three-week graduate course aimed at an interdisciplinary cohort of students in the social sciences from partner universities in Brazil and Norway. The course integrated a problem-based learning (PBL) framework. As part of the methodology, teachers introduced real-world challenges in the context of a post-extractive economic transition. Working in groups of four to five members, the students provided business solutions framed in a post-oil development context. The results indicate tension points in the integration of the learning principles of PBL along the different phases of PBL, namely during the group formation and problem analysis phases. To tackle these tensions, we propose that this type of course should facilitate early group formation and integrate formative feedback and progressive problem analysis. Our framework contributes to the debate on competence-based frameworks within the sustainability education literature. The framework can also serve as an inspiration for course designers in higher education.
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Social Sciences
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action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education
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doi:10.18710/EBBMHF
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Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.' Subject:'Arts and Humanities; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.
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Arts and Humanities
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action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education
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doi:10.18710/EBBMHF
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Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.' Subject:'Arts and Humanities; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.
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Business and Management
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action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education
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doi:10.18710/EBBMHF
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Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning' Description:'This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.' Subject:'Arts and Humanities; Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is a dataset for the article 'Lenses on the Post-oil Economy: Integrating Entrepreneurship into Sustainability Education through Problem-Based Learning'. The data originates from the interview transcripts of nine participants in the course as described in the publication associated to the dataset. The dataset also includes additional information for replication purposes of the action-research initiative, including: course program and information materials for students. The purpose is interested researchers can adapt these materials.
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Social Sciences
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action-research; entrepreneurship education; higher education; post-oil; problem based learning; sustainability education
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doi:10.18710/HK2TXA
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Replication Data for: Integrating problem-based learning with international internships in business education
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a dataset for the article 'Integrating problem-based learning with international internships in business education'. The dataset includes information for replication purposes of the action-research initiative, namely the course program. The purpose is to allow interested researchers to adapt these materials. (2022-01-25)Abstract: The literature on international business teaching has contributed to the development of international internships as a learning pedagogy through three key areas: making sense of the students’ developed competences and prospective added employment value following their participation in international internships, the role of support structures in the organization of internships abroad, and more recently the pedagogical design of internships abroad. Thus, more recent research has taken a critical stance toward internships as a learning form, as serious gaps exist in the pedagogical elements required to connect internships with the broader theoretical elements of international business programs. The present study addresses these gaps through two research questions: i) How can educators design and implement problem-based international internships in business education? ii) What adjustments does the combination of these two active learning experiences in business education demand for small business schools, partner universities, and hosting organizations? The paper presents pedagogical action research that was conducted over two courses for international business internships in a Norwegian-Brazilian context for bachelor’s and master’s students. It contributes to the international business teaching literature in the following ways: First, the validated teaching framework argues for international internships that are linked to loosely defined problems at the host organization, which the student self-scopes and connects based on their theoretical knowledge from other courses. Second, by providing an in-depth discussion of problem-based learning and its applicability in international business practicums, we address the existing gap in the field regarding the pedagogical foundations of how students connect theory to practice during international internships. Third, the framework serves as a practical guideline for teaching and administrative staff who wish to develop international internship programs at home universities, supporting their ability to connect the practical aspects established in the literature with the additional organizational requirements arising from working with hosting organizations overseas.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'higher education; International business; internationalization; internships abroad; problem-based learning'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Integrating problem-based learning with international internships in business education' Description:'This is a dataset for the article 'Integrating problem-based learning with international internships in business education'. The dataset includes information for replication purposes of the action-research initiative, namely the course program. The purpose is to allow interested researchers to adapt these materials. (2022-01-25)Abstract: The literature on international business teaching has contributed to the development of international internships as a learning pedagogy through three key areas: making sense of the students’ developed competences and prospective added employment value following their participation in international internships, the role of support structures in the organization of internships abroad, and more recently the pedagogical design of internships abroad. Thus, more recent research has taken a critical stance toward internships as a learning form, as serious gaps exist in the pedagogical elements required to connect internships with the broader theoretical elements of international business programs. The present study addresses these gaps through two research questions: i) How can educators design and implement problem-based international internships in business education? ii) What adjustments does the combination of these two active learning experiences in business education demand for small business schools, partner universities, and hosting organizations? The paper presents pedagogical action research that was conducted over two courses for international business internships in a Norwegian-Brazilian context for bachelor’s and master’s students. It contributes to the international business teaching literature in the following ways: First, the validated teaching framework argues for international internships that are linked to loosely defined problems at the host organization, which the student self-scopes and connects based on their theoretical knowledge from other courses. Second, by providing an in-depth discussion of problem-based learning and its applicability in international business practicums, we address the existing gap in the field regarding the pedagogical foundations of how students connect theory to practice during international internships. Third, the framework serves as a practical guideline for teaching and administrative staff who wish to develop international internship programs at home universities, supporting their ability to connect the practical aspects established in the literature with the additional organizational requirements arising from working with hosting organizations overseas.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This is a dataset for the article 'Integrating problem-based learning with international internships in business education'. The dataset includes information for replication purposes of the action-research initiative, namely the course program. The purpose is to allow interested researchers to adapt these materials. (2022-01-25)Abstract: The literature on international business teaching has contributed to the development of international internships as a learning pedagogy through three key areas: making sense of the students’ developed competences and prospective added employment value following their participation in international internships, the role of support structures in the organization of internships abroad, and more recently the pedagogical design of internships abroad. Thus, more recent research has taken a critical stance toward internships as a learning form, as serious gaps exist in the pedagogical elements required to connect internships with the broader theoretical elements of international business programs. The present study addresses these gaps through two research questions: i) How can educators design and implement problem-based international internships in business education? ii) What adjustments does the combination of these two active learning experiences in business education demand for small business schools, partner universities, and hosting organizations? The paper presents pedagogical action research that was conducted over two courses for international business internships in a Norwegian-Brazilian context for bachelor’s and master’s students. It contributes to the international business teaching literature in the following ways: First, the validated teaching framework argues for international internships that are linked to loosely defined problems at the host organization, which the student self-scopes and connects based on their theoretical knowledge from other courses. Second, by providing an in-depth discussion of problem-based learning and its applicability in international business practicums, we address the existing gap in the field regarding the pedagogical foundations of how students connect theory to practice during international internships. Third, the framework serves as a practical guideline for teaching and administrative staff who wish to develop international internship programs at home universities, supporting their ability to connect the practical aspects established in the literature with the additional organizational requirements arising from working with hosting organizations overseas.
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Business and Management
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higher education; International business; internationalization; internships abroad; problem-based learning
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doi:10.18710/MCGMQO
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Replication Data for: Does practice makes perfect? Assessing the formation of expertise among new venture founders
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Prior research has theorized that entrepreneurs engage in deliberate practice—intense, prolonged, focused efforts to improve their entrepreneurial skills and abilities—in order to enhance their cognitive resources to form entrepreneurial expertise (Baron and Henry 2010). Examining this work empirically, our research asks the question: what is the role of deliberate practice in the formation of entrepreneurial expertise among business founders? Our results show that deliberate practice is, indeed, a predictor of entrepreneurial expertise. As such, this study sheds light on how deliberate practice, by transforming entrepreneurs’ experiences into expertise, may contribute to the successful development of a new venture.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Deliberate Practice; Entrepreneurial Expertise; Entrepreneurship; New Venture; Start-up Experience'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Does practice makes perfect? Assessing the formation of expertise among new venture founders' Description:'Prior research has theorized that entrepreneurs engage in deliberate practice—intense, prolonged, focused efforts to improve their entrepreneurial skills and abilities—in order to enhance their cognitive resources to form entrepreneurial expertise (Baron and Henry 2010). Examining this work empirically, our research asks the question: what is the role of deliberate practice in the formation of entrepreneurial expertise among business founders? Our results show that deliberate practice is, indeed, a predictor of entrepreneurial expertise. As such, this study sheds light on how deliberate practice, by transforming entrepreneurs’ experiences into expertise, may contribute to the successful development of a new venture.' Subject:'Business and Management. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Prior research has theorized that entrepreneurs engage in deliberate practice—intense, prolonged, focused efforts to improve their entrepreneurial skills and abilities—in order to enhance their cognitive resources to form entrepreneurial expertise (Baron and Henry 2010). Examining this work empirically, our research asks the question: what is the role of deliberate practice in the formation of entrepreneurial expertise among business founders? Our results show that deliberate practice is, indeed, a predictor of entrepreneurial expertise. As such, this study sheds light on how deliberate practice, by transforming entrepreneurs’ experiences into expertise, may contribute to the successful development of a new venture.
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Business and Management
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Deliberate Practice; Entrepreneurial Expertise; Entrepreneurship; New Venture; Start-up Experience
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doi:10.18738/T8/BNLLTF
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Competencies of OD Professionals
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataverse contains data related to the research on competencies of Organization Development (OD) professionals.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Competencies; Organization Development'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Competencies of OD Professionals' Description:'This dataverse contains data related to the research on competencies of Organization Development (OD) professionals.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataverse contains data related to the research on competencies of Organization Development (OD) professionals.
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Business and Management
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Competencies; Organization Development
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doi:10.18738/T8/BNLLTF
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Competencies of OD Professionals
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataverse contains data related to the research on competencies of Organization Development (OD) professionals.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Competencies; Organization Development'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Competencies of OD Professionals' Description:'This dataverse contains data related to the research on competencies of Organization Development (OD) professionals.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataverse contains data related to the research on competencies of Organization Development (OD) professionals.
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Social Sciences
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Competencies; Organization Development
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doi:10.18710/Q1T63B
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Replication Data for: Alien Invasive Species Management: Stakeholder Perceptions of the Barents Sea King Crab
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Alien invasive species; Barents Sea; fisheries; Norway; Q-methodology; Red King Crab; resource management; stakeholder perceptions'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Alien Invasive Species Management: Stakeholder Perceptions of the Barents Sea King Crab' Description:'Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.' Subject:'Business and Management; Earth and Environmental Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.
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Business and Management
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Alien invasive species; Barents Sea; fisheries; Norway; Q-methodology; Red King Crab; resource management; stakeholder perceptions
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doi:10.18710/Q1T63B
|
Replication Data for: Alien Invasive Species Management: Stakeholder Perceptions of the Barents Sea King Crab
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Alien invasive species; Barents Sea; fisheries; Norway; Q-methodology; Red King Crab; resource management; stakeholder perceptions'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Alien Invasive Species Management: Stakeholder Perceptions of the Barents Sea King Crab' Description:'Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.' Subject:'Business and Management; Earth and Environmental Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.
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Earth and Environmental Sciences
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Alien invasive species; Barents Sea; fisheries; Norway; Q-methodology; Red King Crab; resource management; stakeholder perceptions
|
doi:10.18710/Q1T63B
|
Replication Data for: Alien Invasive Species Management: Stakeholder Perceptions of the Barents Sea King Crab
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'Alien invasive species; Barents Sea; fisheries; Norway; Q-methodology; Red King Crab; resource management; stakeholder perceptions'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Alien Invasive Species Management: Stakeholder Perceptions of the Barents Sea King Crab' Description:'Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.' Subject:'Business and Management; Earth and Environmental Sciences; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
Data from a Q-methodology study involving key stakeholders to probe the extent to which divisions (with respect to stakeholders' perceptions) exist between different groups. 57 informed Norwegian stakeholders were interviewed face-to-face between June and August 2011. They were asked to range 43 statements, in addition to some follow-up questions. Further information is found in the related and published article.
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Social Sciences
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Alien invasive species; Barents Sea; fisheries; Norway; Q-methodology; Red King Crab; resource management; stakeholder perceptions
|
doi:10.18710/ROZ2QY
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Survey on innovation activities in Norway’s minerals industry covering the years 2013-2015
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published in a recognised scientific journal, but no later than January 1st 2019.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'External knowledge sourcing; Innovation; Minerals industry; Stakeholder'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Survey on innovation activities in Norway’s minerals industry covering the years 2013-2015' Description:'This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published in a recognised scientific journal, but no later than January 1st 2019.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published in a recognised scientific journal, but no later than January 1st 2019.
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Business and Management
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External knowledge sourcing; Innovation; Minerals industry; Stakeholder
|
doi:10.18710/ROZ2QY
|
Survey on innovation activities in Norway’s minerals industry covering the years 2013-2015
|
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully. <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published in a recognised scientific journal, but no later than January 1st 2019.' . Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> Answer : {'External knowledge sourcing; Innovation; Minerals industry; Stakeholder'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Survey on innovation activities in Norway’s minerals industry covering the years 2013-2015' Description:'This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published in a recognised scientific journal, but no later than January 1st 2019.' Subject:'Business and Management; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published in a recognised scientific journal, but no later than January 1st 2019.
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Social Sciences
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External knowledge sourcing; Innovation; Minerals industry; Stakeholder
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