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doi:10.7910/DVN/08EYHF
|
Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America And The Royal Government Of Cambodia Regarding the Non Surrender Of Persons to the International Criminal Court Signed At Phnomh Penh June 27, 2003 Entered Into Force On June 29, 2005
|
<|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:'TIAS 05-629 cover memo' . 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 : {'22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (foreign relations clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America And The Royal Government Of Cambodia Regarding the Non Surrender Of Persons to the International Criminal Court Signed At Phnomh Penh June 27, 2003 Entered Into Force On June 29, 2005' Description:'TIAS 05-629 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 05-629 cover memo
|
Law
|
22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (foreign relations clause)
|
doi:10.7910/DVN/08EYHF
|
Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America And The Royal Government Of Cambodia Regarding the Non Surrender Of Persons to the International Criminal Court Signed At Phnomh Penh June 27, 2003 Entered Into Force On June 29, 2005
|
<|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:'TIAS 05-629 cover memo' . 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 : {'22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (foreign relations clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America And The Royal Government Of Cambodia Regarding the Non Surrender Of Persons to the International Criminal Court Signed At Phnomh Penh June 27, 2003 Entered Into Force On June 29, 2005' Description:'TIAS 05-629 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 05-629 cover memo
|
Social Sciences
|
22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1 (foreign relations clause)
|
doi:10.7910/DVN/08L2RJ
|
Executive Agreements Database, Statement Regarding Agreement Between The United States of America And Cameroon Regarding the Consolidation And Rescheduling Or Refinancing Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government And Its Agencies Signed At Yaounde September 12, 1994
|
<|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:'KAV 4069cover memo' . 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 : {'22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States of America And Cameroon Regarding the Consolidation And Rescheduling Or Refinancing Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government And Its Agencies Signed At Yaounde September 12, 1994' Description:'KAV 4069cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 4069cover memo
|
Law
|
22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)
|
doi:10.7910/DVN/08L2RJ
|
Executive Agreements Database, Statement Regarding Agreement Between The United States of America And Cameroon Regarding the Consolidation And Rescheduling Or Refinancing Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government And Its Agencies Signed At Yaounde September 12, 1994
|
<|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:'KAV 4069cover memo' . 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 : {'22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States of America And Cameroon Regarding the Consolidation And Rescheduling Or Refinancing Of Certain Debts Owed To, Guaranteed By, Or Insured By The United States Government And Its Agencies Signed At Yaounde September 12, 1994' Description:'KAV 4069cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 4069cover memo
|
Social Sciences
|
22 USC 2656; Highest Rating 5 (none of the above); U.S. Constitution, Article II (foreign relations clause)
|
doi:10.7910/DVN/0AIAGD
|
Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Philippines Amending The Agreement Of September 16, 1982, As Amended, Concerning Air Transport Services. Effected By Exchange Of Notes Act Washington April 24, 1989
|
<|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:'TIAS 11988 cover memo' . 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 : {'40 Op. AG 451 (1946); Federal Aviation Act, Section 802, 49 USC 1462; Highest Rating 5 (none of the above)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Philippines Amending The Agreement Of September 16, 1982, As Amended, Concerning Air Transport Services. Effected By Exchange Of Notes Act Washington April 24, 1989' Description:'TIAS 11988 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 11988 cover memo
|
Law
|
40 Op. AG 451 (1946); Federal Aviation Act, Section 802, 49 USC 1462; Highest Rating 5 (none of the above)
|
doi:10.7910/DVN/0AIAGD
|
Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Philippines Amending The Agreement Of September 16, 1982, As Amended, Concerning Air Transport Services. Effected By Exchange Of Notes Act Washington April 24, 1989
|
<|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:'TIAS 11988 cover memo' . 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 : {'40 Op. AG 451 (1946); Federal Aviation Act, Section 802, 49 USC 1462; Highest Rating 5 (none of the above)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Philippines Amending The Agreement Of September 16, 1982, As Amended, Concerning Air Transport Services. Effected By Exchange Of Notes Act Washington April 24, 1989' Description:'TIAS 11988 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 11988 cover memo
|
Social Sciences
|
40 Op. AG 451 (1946); Federal Aviation Act, Section 802, 49 USC 1462; Highest Rating 5 (none of the above)
|
doi:10.7910/DVN/0APHL7
|
Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Federal Republic Of Germany For Cooperative Research In The Field Of Helicopter Aeromechanics, with Annex Signed At Alexandria and Bonn Sept 2 and 16, 1994
|
<|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:'TIAS 12311 cover memo' . 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 : {'10 USC 3013(b)(4); Highest Rating 5 (none of the above)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Federal Republic Of Germany For Cooperative Research In The Field Of Helicopter Aeromechanics, with Annex Signed At Alexandria and Bonn Sept 2 and 16, 1994' Description:'TIAS 12311 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 12311 cover memo
|
Law
|
10 USC 3013(b)(4); Highest Rating 5 (none of the above)
|
doi:10.7910/DVN/0APHL7
|
Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Federal Republic Of Germany For Cooperative Research In The Field Of Helicopter Aeromechanics, with Annex Signed At Alexandria and Bonn Sept 2 and 16, 1994
|
<|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:'TIAS 12311 cover memo' . 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 : {'10 USC 3013(b)(4); Highest Rating 5 (none of the above)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States and The Federal Republic Of Germany For Cooperative Research In The Field Of Helicopter Aeromechanics, with Annex Signed At Alexandria and Bonn Sept 2 and 16, 1994' Description:'TIAS 12311 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 12311 cover memo
|
Social Sciences
|
10 USC 3013(b)(4); Highest Rating 5 (none of the above)
|
doi:10.7910/DVN/0AS9ZV
|
Executive Agreements Database, Statement Concerning the Agreement with Liberia On Guaranty Of Private Investments Effected By Exchange Of Notes Act Monrovia December 15, 2006 Entered Into Force December 15, 2006
|
<|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:'KAV 7934cover memo' . 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 : {'Highest Rating 5 (none of the above); Section 603(a)(2) of the International Development and Food Assistance Act of 1978, PL 95-424, 22 USC 2395a; U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Liberia On Guaranty Of Private Investments Effected By Exchange Of Notes Act Monrovia December 15, 2006 Entered Into Force December 15, 2006' Description:'KAV 7934cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 7934cover memo
|
Law
|
Highest Rating 5 (none of the above); Section 603(a)(2) of the International Development and Food Assistance Act of 1978, PL 95-424, 22 USC 2395a; U.S. Constitution, Article II
|
doi:10.7910/DVN/0AS9ZV
|
Executive Agreements Database, Statement Concerning the Agreement with Liberia On Guaranty Of Private Investments Effected By Exchange Of Notes Act Monrovia December 15, 2006 Entered Into Force December 15, 2006
|
<|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:'KAV 7934cover memo' . 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 : {'Highest Rating 5 (none of the above); Section 603(a)(2) of the International Development and Food Assistance Act of 1978, PL 95-424, 22 USC 2395a; U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Liberia On Guaranty Of Private Investments Effected By Exchange Of Notes Act Monrovia December 15, 2006 Entered Into Force December 15, 2006' Description:'KAV 7934cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 7934cover memo
|
Social Sciences
|
Highest Rating 5 (none of the above); Section 603(a)(2) of the International Development and Food Assistance Act of 1978, PL 95-424, 22 USC 2395a; U.S. Constitution, Article II
|
doi:10.7910/DVN/0B45WH
|
Executive Agreements Database, Background Statement Concerning Minute No. 290 of the International Boundary and Water Commission Replacement of the International Cordova Bridge of the Americas Over The Rio Grande Act El Paso, Texas Ciudad Juarez, Chihuahua Signed At Ciudad Juarez, September 21, 1993 Entered Into Force September 24, 1993
|
<|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:'KAV 3653TIAS 93-924First signed 09/21/1993Last signed 09/21/1993Entry into force (supplemented by last signed) 09/24/1993stamped 93-169C06550542cover memo' . 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 : {'America-Mexican Chamizal Convention Act of 1964, (74 Stat 184); Convention between the United States and Mexico for the Solution of the Problem of the Chamizal of August 29, 1963 (TIAS 5515, 15 UST 21); Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1 (executive power clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning Minute No. 290 of the International Boundary and Water Commission Replacement of the International Cordova Bridge of the Americas Over The Rio Grande Act El Paso, Texas Ciudad Juarez, Chihuahua Signed At Ciudad Juarez, September 21, 1993 Entered Into Force September 24, 1993' Description:'KAV 3653TIAS 93-924First signed 09/21/1993Last signed 09/21/1993Entry into force (supplemented by last signed) 09/24/1993stamped 93-169C06550542cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 3653TIAS 93-924First signed 09/21/1993Last signed 09/21/1993Entry into force (supplemented by last signed) 09/24/1993stamped 93-169C06550542cover memo
|
Law
|
America-Mexican Chamizal Convention Act of 1964, (74 Stat 184); Convention between the United States and Mexico for the Solution of the Problem of the Chamizal of August 29, 1963 (TIAS 5515, 15 UST 21); Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1 (executive power clause)
|
doi:10.7910/DVN/0B45WH
|
Executive Agreements Database, Background Statement Concerning Minute No. 290 of the International Boundary and Water Commission Replacement of the International Cordova Bridge of the Americas Over The Rio Grande Act El Paso, Texas Ciudad Juarez, Chihuahua Signed At Ciudad Juarez, September 21, 1993 Entered Into Force September 24, 1993
|
<|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:'KAV 3653TIAS 93-924First signed 09/21/1993Last signed 09/21/1993Entry into force (supplemented by last signed) 09/24/1993stamped 93-169C06550542cover memo' . 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 : {'America-Mexican Chamizal Convention Act of 1964, (74 Stat 184); Convention between the United States and Mexico for the Solution of the Problem of the Chamizal of August 29, 1963 (TIAS 5515, 15 UST 21); Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1 (executive power clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning Minute No. 290 of the International Boundary and Water Commission Replacement of the International Cordova Bridge of the Americas Over The Rio Grande Act El Paso, Texas Ciudad Juarez, Chihuahua Signed At Ciudad Juarez, September 21, 1993 Entered Into Force September 24, 1993' Description:'KAV 3653TIAS 93-924First signed 09/21/1993Last signed 09/21/1993Entry into force (supplemented by last signed) 09/24/1993stamped 93-169C06550542cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 3653TIAS 93-924First signed 09/21/1993Last signed 09/21/1993Entry into force (supplemented by last signed) 09/24/1993stamped 93-169C06550542cover memo
|
Social Sciences
|
America-Mexican Chamizal Convention Act of 1964, (74 Stat 184); Convention between the United States and Mexico for the Solution of the Problem of the Chamizal of August 29, 1963 (TIAS 5515, 15 UST 21); Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1 (executive power clause)
|
doi:10.7910/DVN/0BA2YI
|
Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt Amending The Grant Agreement Of June 22, 2003 For Private Sector Commodity Import Program Signed At Cairo September 28, 2004
|
<|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:'KAV 6990 cover memo' . 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 : {'Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt Amending The Grant Agreement Of June 22, 2003 For Private Sector Commodity Import Program Signed At Cairo September 28, 2004' Description:'KAV 6990 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 6990 cover memo
|
Law
|
Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements)
|
doi:10.7910/DVN/0BA2YI
|
Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt Amending The Grant Agreement Of June 22, 2003 For Private Sector Commodity Import Program Signed At Cairo September 28, 2004
|
<|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:'KAV 6990 cover memo' . 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 : {'Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Egypt Amending The Grant Agreement Of June 22, 2003 For Private Sector Commodity Import Program Signed At Cairo September 28, 2004' Description:'KAV 6990 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 6990 cover memo
|
Social Sciences
|
Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements)
|
doi:10.7910/DVN/0BF3IF
|
Executive Agreements Database, Statement Regarding the Agreement Between The United States and Indonesia Amending The Agreement of May 8, 1992, Concerning trade In Textiles and Textile Products Effected by Exchange of Notes Act Jakarta June 16 and July 21, 1993
|
<|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:'KAV 3639 cover memo' . 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 : {'Highest Rating 2 (authorization to negotiate agreements); Section 204 of the Agricultural Act of 1956, as amended, 7 USC 1854'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement Between The United States and Indonesia Amending The Agreement of May 8, 1992, Concerning trade In Textiles and Textile Products Effected by Exchange of Notes Act Jakarta June 16 and July 21, 1993' Description:'KAV 3639 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 3639 cover memo
|
Law
|
Highest Rating 2 (authorization to negotiate agreements); Section 204 of the Agricultural Act of 1956, as amended, 7 USC 1854
|
doi:10.7910/DVN/0BF3IF
|
Executive Agreements Database, Statement Regarding the Agreement Between The United States and Indonesia Amending The Agreement of May 8, 1992, Concerning trade In Textiles and Textile Products Effected by Exchange of Notes Act Jakarta June 16 and July 21, 1993
|
<|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:'KAV 3639 cover memo' . 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 : {'Highest Rating 2 (authorization to negotiate agreements); Section 204 of the Agricultural Act of 1956, as amended, 7 USC 1854'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement Between The United States and Indonesia Amending The Agreement of May 8, 1992, Concerning trade In Textiles and Textile Products Effected by Exchange of Notes Act Jakarta June 16 and July 21, 1993' Description:'KAV 3639 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 3639 cover memo
|
Social Sciences
|
Highest Rating 2 (authorization to negotiate agreements); Section 204 of the Agricultural Act of 1956, as amended, 7 USC 1854
|
doi:10.7910/DVN/0BIA6C
|
Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Ireland. Signed At Dublin February 5, 1997.
|
<|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:'TIAS 12831First signed 02/05/1997Last signed 02/05/1997Entry into force (supplemented by last signed) 02/05/1997stamped 97-50C06544155cover memo' . 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 : {'49 USC App 1301 et seq; Federal Aviation Administration Act of 1958, as amended; Highest Rating 3 (authorization to furnish assistance)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Ireland. Signed At Dublin February 5, 1997.' Description:'TIAS 12831First signed 02/05/1997Last signed 02/05/1997Entry into force (supplemented by last signed) 02/05/1997stamped 97-50C06544155cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 12831First signed 02/05/1997Last signed 02/05/1997Entry into force (supplemented by last signed) 02/05/1997stamped 97-50C06544155cover memo
|
Law
|
49 USC App 1301 et seq; Federal Aviation Administration Act of 1958, as amended; Highest Rating 3 (authorization to furnish assistance)
|
doi:10.7910/DVN/0BIA6C
|
Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Ireland. Signed At Dublin February 5, 1997.
|
<|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:'TIAS 12831First signed 02/05/1997Last signed 02/05/1997Entry into force (supplemented by last signed) 02/05/1997stamped 97-50C06544155cover memo' . 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 : {'49 USC App 1301 et seq; Federal Aviation Administration Act of 1958, as amended; Highest Rating 3 (authorization to furnish assistance)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement For The Promotion Of Aviation Safety Between The United States and Ireland. Signed At Dublin February 5, 1997.' Description:'TIAS 12831First signed 02/05/1997Last signed 02/05/1997Entry into force (supplemented by last signed) 02/05/1997stamped 97-50C06544155cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 12831First signed 02/05/1997Last signed 02/05/1997Entry into force (supplemented by last signed) 02/05/1997stamped 97-50C06544155cover memo
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Social Sciences
|
49 USC App 1301 et seq; Federal Aviation Administration Act of 1958, as amended; Highest Rating 3 (authorization to furnish assistance)
|
doi:10.7910/DVN/0BIGDK
|
Executive Agreements Database, Statement Regarding Acquisition And Cross-Servicing Agreement, with Annexes Between The United States and Ecuador Signed At Manaus (federal Republic Of Brazil) October 18, 2000
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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:'KAV 5823cover memo' . 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 : {'Highest Rating 1 (authorization to conclude agreements); NATO Mutual Support Act of 1979, as amended, 10 USC 2342(a)-(b); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Acquisition And Cross-Servicing Agreement, with Annexes Between The United States and Ecuador Signed At Manaus (federal Republic Of Brazil) October 18, 2000' Description:'KAV 5823cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 5823cover memo
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Law
|
Highest Rating 1 (authorization to conclude agreements); NATO Mutual Support Act of 1979, as amended, 10 USC 2342(a)-(b); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)
|
doi:10.7910/DVN/0BIGDK
|
Executive Agreements Database, Statement Regarding Acquisition And Cross-Servicing Agreement, with Annexes Between The United States and Ecuador Signed At Manaus (federal Republic Of Brazil) October 18, 2000
|
<|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:'KAV 5823cover memo' . 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 : {'Highest Rating 1 (authorization to conclude agreements); NATO Mutual Support Act of 1979, as amended, 10 USC 2342(a)-(b); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Acquisition And Cross-Servicing Agreement, with Annexes Between The United States and Ecuador Signed At Manaus (federal Republic Of Brazil) October 18, 2000' Description:'KAV 5823cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 5823cover memo
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Social Sciences
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Highest Rating 1 (authorization to conclude agreements); NATO Mutual Support Act of 1979, as amended, 10 USC 2342(a)-(b); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)
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doi:10.7910/DVN/0MTRL5
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Executive Agreements Database, Statement Regarding the Money Order Agreement Between The United States Postal Service And The Postala Administration Of Burkina Faso
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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:'KAV 3985cover memo' . 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 : {'Article 1 of the Universal Postal Union Money Orders Agreement Signed At Washington, DC on December 14, 1989; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Money Order Agreement Between The United States Postal Service And The Postala Administration Of Burkina Faso' Description:'KAV 3985cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 3985cover memo
|
Law
|
Article 1 of the Universal Postal Union Money Orders Agreement Signed At Washington, DC on December 14, 1989; Highest Rating 1 (authorization to conclude agreements)
|
doi:10.7910/DVN/0MTRL5
|
Executive Agreements Database, Statement Regarding the Money Order Agreement Between The United States Postal Service And The Postala Administration Of Burkina Faso
|
<|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:'KAV 3985cover memo' . 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 : {'Article 1 of the Universal Postal Union Money Orders Agreement Signed At Washington, DC on December 14, 1989; Highest Rating 1 (authorization to conclude agreements)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Money Order Agreement Between The United States Postal Service And The Postala Administration Of Burkina Faso' Description:'KAV 3985cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 3985cover memo
|
Social Sciences
|
Article 1 of the Universal Postal Union Money Orders Agreement Signed At Washington, DC on December 14, 1989; Highest Rating 1 (authorization to conclude agreements)
|
doi:10.7910/DVN/0CINXZ
|
Executive Agreements Database, Statement Regarding Memorandum of Understanding Between The United States and Canada For The Test And Evaluation Program (tep) Cooperation, with Annexes. Signed At Las Vegas, Nevada, On September 10, 2002. Entered Into Force On September 10, 2002
|
<|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:'TIAS 02-910 cover memo' . 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 : {'10 USC 2350a-b; 10 USC 2350i; 10 USC 2350(l); Arms Export Control Act; Highest Rating 1 (authorization to conclude agreements); Section 27 (22 USC 2767); U.S. Constitution, Article II (commander in chief clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Memorandum of Understanding Between The United States and Canada For The Test And Evaluation Program (tep) Cooperation, with Annexes. Signed At Las Vegas, Nevada, On September 10, 2002. Entered Into Force On September 10, 2002' Description:'TIAS 02-910 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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TIAS 02-910 cover memo
|
Law
|
10 USC 2350a-b; 10 USC 2350i; 10 USC 2350(l); Arms Export Control Act; Highest Rating 1 (authorization to conclude agreements); Section 27 (22 USC 2767); U.S. Constitution, Article II (commander in chief clause)
|
doi:10.7910/DVN/0CINXZ
|
Executive Agreements Database, Statement Regarding Memorandum of Understanding Between The United States and Canada For The Test And Evaluation Program (tep) Cooperation, with Annexes. Signed At Las Vegas, Nevada, On September 10, 2002. Entered Into Force On September 10, 2002
|
<|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:'TIAS 02-910 cover memo' . 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 : {'10 USC 2350a-b; 10 USC 2350i; 10 USC 2350(l); Arms Export Control Act; Highest Rating 1 (authorization to conclude agreements); Section 27 (22 USC 2767); U.S. Constitution, Article II (commander in chief clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Memorandum of Understanding Between The United States and Canada For The Test And Evaluation Program (tep) Cooperation, with Annexes. Signed At Las Vegas, Nevada, On September 10, 2002. Entered Into Force On September 10, 2002' Description:'TIAS 02-910 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 02-910 cover memo
|
Social Sciences
|
10 USC 2350a-b; 10 USC 2350i; 10 USC 2350(l); Arms Export Control Act; Highest Rating 1 (authorization to conclude agreements); Section 27 (22 USC 2767); U.S. Constitution, Article II (commander in chief clause)
|
doi:10.7910/DVN/0COUBY
|
Executive Agreements Database, Background Statement Concerning the Agreement Between The United States and Perú Extending The Air Transport Services Agreement of December 16, 1986, As Extended. effected By Exchange Of Notes Act Lima may 24 & June 8, 1994. entered Into Force June 8, 1994.
|
<|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:'KAV 4158First signed 05/24/1994Last signed 06/08/1994Entry into force (supplemented by last signed) 06/08/1994stamped 95-44C06539378cover memo' . 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 : {'Highest Rating 5 (none of the above); Section 802 of the Federal Aviation Act of 1958, as amended (49 USC 1462; U.S. Constitution, Article II, Sec. 1 (executive power clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement Between The United States and Perú Extending The Air Transport Services Agreement of December 16, 1986, As Extended. effected By Exchange Of Notes Act Lima may 24 & June 8, 1994. entered Into Force June 8, 1994.' Description:'KAV 4158First signed 05/24/1994Last signed 06/08/1994Entry into force (supplemented by last signed) 06/08/1994stamped 95-44C06539378cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 4158First signed 05/24/1994Last signed 06/08/1994Entry into force (supplemented by last signed) 06/08/1994stamped 95-44C06539378cover memo
|
Law
|
Highest Rating 5 (none of the above); Section 802 of the Federal Aviation Act of 1958, as amended (49 USC 1462; U.S. Constitution, Article II, Sec. 1 (executive power clause)
|
doi:10.7910/DVN/0COUBY
|
Executive Agreements Database, Background Statement Concerning the Agreement Between The United States and Perú Extending The Air Transport Services Agreement of December 16, 1986, As Extended. effected By Exchange Of Notes Act Lima may 24 & June 8, 1994. entered Into Force June 8, 1994.
|
<|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:'KAV 4158First signed 05/24/1994Last signed 06/08/1994Entry into force (supplemented by last signed) 06/08/1994stamped 95-44C06539378cover memo' . 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 : {'Highest Rating 5 (none of the above); Section 802 of the Federal Aviation Act of 1958, as amended (49 USC 1462; U.S. Constitution, Article II, Sec. 1 (executive power clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Agreement Between The United States and Perú Extending The Air Transport Services Agreement of December 16, 1986, As Extended. effected By Exchange Of Notes Act Lima may 24 & June 8, 1994. entered Into Force June 8, 1994.' Description:'KAV 4158First signed 05/24/1994Last signed 06/08/1994Entry into force (supplemented by last signed) 06/08/1994stamped 95-44C06539378cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 4158First signed 05/24/1994Last signed 06/08/1994Entry into force (supplemented by last signed) 06/08/1994stamped 95-44C06539378cover memo
|
Social Sciences
|
Highest Rating 5 (none of the above); Section 802 of the Federal Aviation Act of 1958, as amended (49 USC 1462; U.S. Constitution, Article II, Sec. 1 (executive power clause)
|
doi:10.7910/DVN/0D8TOF
|
Executive Agreements Database, Statement Regarding the Agreement Between The United States and Japan Concerning Cooperation On The X-Ray Astronomy Satellite (ASTRO-E) Program Effected By Exchange Of Notes Act Washington November 30, 1998 Entered Into Force November 30, 1998
|
<|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:'KAV 6148cover memo' . 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 : {'42 USC 2451(d)(7); 42 USC 2475; Highest Rating 4 (authorization to engage in international cooperation or establish a program); National Aeronautics and Space Act of 1958, as amended, 42 USC 2451 et seq'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement Between The United States and Japan Concerning Cooperation On The X-Ray Astronomy Satellite (ASTRO-E) Program Effected By Exchange Of Notes Act Washington November 30, 1998 Entered Into Force November 30, 1998' Description:'KAV 6148cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 6148cover memo
|
Law
|
42 USC 2451(d)(7); 42 USC 2475; Highest Rating 4 (authorization to engage in international cooperation or establish a program); National Aeronautics and Space Act of 1958, as amended, 42 USC 2451 et seq
|
doi:10.7910/DVN/0D8TOF
|
Executive Agreements Database, Statement Regarding the Agreement Between The United States and Japan Concerning Cooperation On The X-Ray Astronomy Satellite (ASTRO-E) Program Effected By Exchange Of Notes Act Washington November 30, 1998 Entered Into Force November 30, 1998
|
<|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:'KAV 6148cover memo' . 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 : {'42 USC 2451(d)(7); 42 USC 2475; Highest Rating 4 (authorization to engage in international cooperation or establish a program); National Aeronautics and Space Act of 1958, as amended, 42 USC 2451 et seq'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement Between The United States and Japan Concerning Cooperation On The X-Ray Astronomy Satellite (ASTRO-E) Program Effected By Exchange Of Notes Act Washington November 30, 1998 Entered Into Force November 30, 1998' Description:'KAV 6148cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 6148cover memo
|
Social Sciences
|
42 USC 2451(d)(7); 42 USC 2475; Highest Rating 4 (authorization to engage in international cooperation or establish a program); National Aeronautics and Space Act of 1958, as amended, 42 USC 2451 et seq
|
doi:10.7910/DVN/0DQOIR
|
Executive Agreements Database, Statement Concerning the Agreement with Afghanistan Amending The Strategic Objective Grant Agreement Of September 19, 2005, As Amended, To Provide Support For Programs To Archive Strategic Development Objectives, with Attachments. Signed At Kabul April 10, 2008. Entered Into Force April 10, 2008.
|
<|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:'KAV 8408 cover memo' . 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 : {'Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Afghanistan Amending The Strategic Objective Grant Agreement Of September 19, 2005, As Amended, To Provide Support For Programs To Archive Strategic Development Objectives, with Attachments. Signed At Kabul April 10, 2008. Entered Into Force April 10, 2008.' Description:'KAV 8408 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 8408 cover memo
|
Law
|
Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II
|
doi:10.7910/DVN/0DQOIR
|
Executive Agreements Database, Statement Concerning the Agreement with Afghanistan Amending The Strategic Objective Grant Agreement Of September 19, 2005, As Amended, To Provide Support For Programs To Archive Strategic Development Objectives, with Attachments. Signed At Kabul April 10, 2008. Entered Into Force April 10, 2008.
|
<|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:'KAV 8408 cover memo' . 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 : {'Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Afghanistan Amending The Strategic Objective Grant Agreement Of September 19, 2005, As Amended, To Provide Support For Programs To Archive Strategic Development Objectives, with Attachments. Signed At Kabul April 10, 2008. Entered Into Force April 10, 2008.' Description:'KAV 8408 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 8408 cover memo
|
Social Sciences
|
Foreign Assistance Act of 1961, as amended; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II
|
doi:10.7910/DVN/0EBUUJ
|
Executive Agreements Database, Statement Concerning the Agreement with Liberia Regarding the Provision Of Articles and Services Pursuant To Section 1206 of the National Defense Authorization Act For Fiscal Year 2007, As Modified and Extended, Or Successor Legislation. Effected By Exchange Of Notes Act Monrovia July 30 and August 1, 2007. Entered Into Force August 1, 2007.
|
<|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:'KAV 8203cover memo' . 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 : {'Highest Rating 4 (authorization to engage in international cooperation or establish a program); Section 1206 of the National Defense Authorization Act for FY 2007 (PL 109- 364); U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Liberia Regarding the Provision Of Articles and Services Pursuant To Section 1206 of the National Defense Authorization Act For Fiscal Year 2007, As Modified and Extended, Or Successor Legislation. Effected By Exchange Of Notes Act Monrovia July 30 and August 1, 2007. Entered Into Force August 1, 2007.' Description:'KAV 8203cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 8203cover memo
|
Law
|
Highest Rating 4 (authorization to engage in international cooperation or establish a program); Section 1206 of the National Defense Authorization Act for FY 2007 (PL 109- 364); U.S. Constitution, Article II
|
doi:10.7910/DVN/0EBUUJ
|
Executive Agreements Database, Statement Concerning the Agreement with Liberia Regarding the Provision Of Articles and Services Pursuant To Section 1206 of the National Defense Authorization Act For Fiscal Year 2007, As Modified and Extended, Or Successor Legislation. Effected By Exchange Of Notes Act Monrovia July 30 and August 1, 2007. Entered Into Force August 1, 2007.
|
<|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:'KAV 8203cover memo' . 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 : {'Highest Rating 4 (authorization to engage in international cooperation or establish a program); Section 1206 of the National Defense Authorization Act for FY 2007 (PL 109- 364); U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Liberia Regarding the Provision Of Articles and Services Pursuant To Section 1206 of the National Defense Authorization Act For Fiscal Year 2007, As Modified and Extended, Or Successor Legislation. Effected By Exchange Of Notes Act Monrovia July 30 and August 1, 2007. Entered Into Force August 1, 2007.' Description:'KAV 8203cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 8203cover memo
|
Social Sciences
|
Highest Rating 4 (authorization to engage in international cooperation or establish a program); Section 1206 of the National Defense Authorization Act for FY 2007 (PL 109- 364); U.S. Constitution, Article II
|
doi:10.7910/DVN/0EGYWY
|
The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 variables
|
<|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 CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735' . 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 : {'European Union; Law; Text Analysis; Text-As-Data'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 variables' Description:'The CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735' Subject:'Computer and Information Science; Law; 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 CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735
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Computer and Information Science
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European Union; Law; Text Analysis; Text-As-Data
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doi:10.7910/DVN/0EGYWY
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The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 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:'The CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735' . 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 : {'European Union; Law; Text Analysis; Text-As-Data'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 variables' Description:'The CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735' Subject:'Computer and Information Science; Law; 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 CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735
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Law
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European Union; Law; Text Analysis; Text-As-Data
|
doi:10.7910/DVN/0EGYWY
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The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 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:'The CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735' . 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 : {'European Union; Law; Text Analysis; Text-As-Data'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 variables' Description:'The CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735' Subject:'Computer and Information Science; Law; 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 CEPS EurLex datasetThe dataset contains 142.036 EU laws - almost the entire corpus of the EU's digitally available legal acts passed between 1952 - 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.Brief description: - The dataset is organised in tabular format, with each law representing one row and the columns representing 23 variables. - The full text of 134.633 laws is included (column 'act_raw_text'). For newer laws, the text was scraped from Eur-lex.eu via the HTML pages, while for older laws, the text was extracted from (scanned) PDF documents (if available in English). - 22 additional variables are included, such as 'Act_name', 'Act_type', 'Subject_matter', 'Authors', 'Date_document', 'ELI_link', 'CELEX' (a unique identifier for every law). Please see the 'CEPS_EurLex_codebook.pdf' file for an explanation of all variables.- Given its size, the dataset was uploaded in different batches to facilitate usage. Some Excel files are provided for non-technical users. We recommend, however, the use of the CSV files, since Excel does not save large amounts of data properly. EurLex_all.csv is the master file containing all data.Caveats: - The Eur-lex.eu website does not consistently provide data for all the variables. In addition, the HTML documents were not always cleanly formatted and text extraction from scanned PDFs is not entirely clean. Some data points are therefore missing for some laws and some laws were excluded entirely.- Not not all (older) laws were available in English, especially since Ireland and the UK only joined the European Communities in 1973. Non-English laws are excluded from the dataset.Other:- For details on the types of EU legal acts: https://ec.europa.eu/info/law/law-making-process/types-eu-law_en- An example for an experimental analysis with this dataset: https://trigger-project.eu/2019/10/28/a-data-science-approach-to-eu-differentiated-integration/ - The TRIGGER project is funded by the EU's Horizon 2020 programme, grant number 822735
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Social Sciences
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European Union; Law; Text Analysis; Text-As-Data
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doi:10.7910/DVN/0EU7FO
|
Executive Agreements Database, Statement Regarding the Agreement with Mexico Concerning Health Care For Military Members and Their Dependents Signed March 10 and 27, 2008 Entered Into Force March 27, 2008
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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:'KAV 8776First signed 03/10/2008Last signed 03/27/2008Entry into force (supplemented by last signed) 03/27/2008CAR 2009-159stamped 09-159C06537440cover memo' . 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 : {'10 USC 2559; Highest Rating 3 (authorization to furnish assistance; U.S. Constitution, Article II'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement with Mexico Concerning Health Care For Military Members and Their Dependents Signed March 10 and 27, 2008 Entered Into Force March 27, 2008' Description:'KAV 8776First signed 03/10/2008Last signed 03/27/2008Entry into force (supplemented by last signed) 03/27/2008CAR 2009-159stamped 09-159C06537440cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 8776First signed 03/10/2008Last signed 03/27/2008Entry into force (supplemented by last signed) 03/27/2008CAR 2009-159stamped 09-159C06537440cover memo
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Law
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10 USC 2559; Highest Rating 3 (authorization to furnish assistance; U.S. Constitution, Article II
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doi:10.7910/DVN/0EU7FO
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Executive Agreements Database, Statement Regarding the Agreement with Mexico Concerning Health Care For Military Members and Their Dependents Signed March 10 and 27, 2008 Entered Into Force March 27, 2008
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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:'KAV 8776First signed 03/10/2008Last signed 03/27/2008Entry into force (supplemented by last signed) 03/27/2008CAR 2009-159stamped 09-159C06537440cover memo' . 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 : {'10 USC 2559; Highest Rating 3 (authorization to furnish assistance; U.S. Constitution, Article II'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Agreement with Mexico Concerning Health Care For Military Members and Their Dependents Signed March 10 and 27, 2008 Entered Into Force March 27, 2008' Description:'KAV 8776First signed 03/10/2008Last signed 03/27/2008Entry into force (supplemented by last signed) 03/27/2008CAR 2009-159stamped 09-159C06537440cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 8776First signed 03/10/2008Last signed 03/27/2008Entry into force (supplemented by last signed) 03/27/2008CAR 2009-159stamped 09-159C06537440cover memo
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Social Sciences
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10 USC 2559; Highest Rating 3 (authorization to furnish assistance; U.S. Constitution, Article II
|
doi:10.7910/DVN/0EVFGN
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Executive Agreements Database, Statement Regarding Agreement Between The United States, The United Kingdom and The Turks and Caicos Islands Amending The Memorandum of Understanding To Establish In The Turks and Caicos Islands A Processing Facility To Determine The Refugee Status Of Boat People From Haiti Signed At Grand Turk June 18, 1994 Effected By Exchange Of Letters Act Grand Turk and London July 13, 1994
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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:'KAV 3949cover memo' . 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 : {'14 USC 141; 14 USC 88-89; 22 USC 2601; 8 USC 1103; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II (foreign relations clause) (commander in chief clause)'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States, The United Kingdom and The Turks and Caicos Islands Amending The Memorandum of Understanding To Establish In The Turks and Caicos Islands A Processing Facility To Determine The Refugee Status Of Boat People From Haiti Signed At Grand Turk June 18, 1994 Effected By Exchange Of Letters Act Grand Turk and London July 13, 1994' Description:'KAV 3949cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 3949cover memo
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Law
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14 USC 141; 14 USC 88-89; 22 USC 2601; 8 USC 1103; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II (foreign relations clause) (commander in chief clause)
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doi:10.7910/DVN/0EVFGN
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Executive Agreements Database, Statement Regarding Agreement Between The United States, The United Kingdom and The Turks and Caicos Islands Amending The Memorandum of Understanding To Establish In The Turks and Caicos Islands A Processing Facility To Determine The Refugee Status Of Boat People From Haiti Signed At Grand Turk June 18, 1994 Effected By Exchange Of Letters Act Grand Turk and London July 13, 1994
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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:'KAV 3949cover memo' . 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 : {'14 USC 141; 14 USC 88-89; 22 USC 2601; 8 USC 1103; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II (foreign relations clause) (commander in chief clause)'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States, The United Kingdom and The Turks and Caicos Islands Amending The Memorandum of Understanding To Establish In The Turks and Caicos Islands A Processing Facility To Determine The Refugee Status Of Boat People From Haiti Signed At Grand Turk June 18, 1994 Effected By Exchange Of Letters Act Grand Turk and London July 13, 1994' Description:'KAV 3949cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 3949cover memo
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Social Sciences
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14 USC 141; 14 USC 88-89; 22 USC 2601; 8 USC 1103; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II (foreign relations clause) (commander in chief clause)
|
doi:10.7910/DVN/0F2YS0
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Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States Army and The Australian Defence Force Regarding Liaison Officers Signed Arlington February 15, 2002 Entered Into Force February 15, 2002
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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:'KAV 6977 cover memo' . 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 : {'10 USC 3013; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States Army and The Australian Defence Force Regarding Liaison Officers Signed Arlington February 15, 2002 Entered Into Force February 15, 2002' Description:'KAV 6977 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 6977 cover memo
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Law
|
10 USC 3013; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)
|
doi:10.7910/DVN/0F2YS0
|
Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States Army and The Australian Defence Force Regarding Liaison Officers Signed Arlington February 15, 2002 Entered Into Force February 15, 2002
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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:'KAV 6977 cover memo' . 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 : {'10 USC 3013; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding the Memorandum of Understanding Between The United States Army and The Australian Defence Force Regarding Liaison Officers Signed Arlington February 15, 2002 Entered Into Force February 15, 2002' Description:'KAV 6977 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 6977 cover memo
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Social Sciences
|
10 USC 3013; Highest Rating 5 (none of the above); U.S. Constitution, Article II, Sec. 1, Sec. 2 (commander in chief clause) (foreign relations clause)
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doi:10.7910/DVN/0FBUTI
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Executive Agreements Database, Statement Concerning the Agreement with Burundi Regarding Grants Under The Foreign Assistance Act Of 1961 As Amended Or Successor Legislation, And The Furnishing Of Defense Articles, Defense Services And Related Training, Including Pursuant to the United States International Military And Education Training Program (imet) Program. Effected By Exchange Of Notes Act Bujumbura June 13, 2006 And August 8, 2007. Entered Into Force August 8, 2007.
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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:'KAV 8133cover memo' . 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 : {'Foreign Assistance Act of 1961, as amended, Sections 503, 505, 541; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Burundi Regarding Grants Under The Foreign Assistance Act Of 1961 As Amended Or Successor Legislation, And The Furnishing Of Defense Articles, Defense Services And Related Training, Including Pursuant to the United States International Military And Education Training Program (imet) Program. Effected By Exchange Of Notes Act Bujumbura June 13, 2006 And August 8, 2007. Entered Into Force August 8, 2007.' Description:'KAV 8133cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 8133cover memo
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Law
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Foreign Assistance Act of 1961, as amended, Sections 503, 505, 541; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II
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doi:10.7910/DVN/0FBUTI
|
Executive Agreements Database, Statement Concerning the Agreement with Burundi Regarding Grants Under The Foreign Assistance Act Of 1961 As Amended Or Successor Legislation, And The Furnishing Of Defense Articles, Defense Services And Related Training, Including Pursuant to the United States International Military And Education Training Program (imet) Program. Effected By Exchange Of Notes Act Bujumbura June 13, 2006 And August 8, 2007. Entered Into Force August 8, 2007.
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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:'KAV 8133cover memo' . 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 : {'Foreign Assistance Act of 1961, as amended, Sections 503, 505, 541; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning the Agreement with Burundi Regarding Grants Under The Foreign Assistance Act Of 1961 As Amended Or Successor Legislation, And The Furnishing Of Defense Articles, Defense Services And Related Training, Including Pursuant to the United States International Military And Education Training Program (imet) Program. Effected By Exchange Of Notes Act Bujumbura June 13, 2006 And August 8, 2007. Entered Into Force August 8, 2007.' Description:'KAV 8133cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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KAV 8133cover memo
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Social Sciences
|
Foreign Assistance Act of 1961, as amended, Sections 503, 505, 541; Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II
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doi:10.7910/DVN/0G6YZL
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Executive Agreements Database, Background Statement Concerning the Wildfire Protection Agreement For The Common Border Between The United States and Mexico Signed At Mexico City June 4, 1999
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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:'TIAS 13039 cover memo' . 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 : {'Highest Rating 1 (authorization to conclude agreements); Section 3(a)(1) of the 1989 Wildfire Suppression Assistance Act (42 USC 1856n(a)(1)); U.S. Constitution, Article II, Sec. 1 (executive power clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Wildfire Protection Agreement For The Common Border Between The United States and Mexico Signed At Mexico City June 4, 1999' Description:'TIAS 13039 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 13039 cover memo
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Law
|
Highest Rating 1 (authorization to conclude agreements); Section 3(a)(1) of the 1989 Wildfire Suppression Assistance Act (42 USC 1856n(a)(1)); U.S. Constitution, Article II, Sec. 1 (executive power clause)
|
doi:10.7910/DVN/0G6YZL
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Executive Agreements Database, Background Statement Concerning the Wildfire Protection Agreement For The Common Border Between The United States and Mexico Signed At Mexico City June 4, 1999
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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:'TIAS 13039 cover memo' . 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 : {'Highest Rating 1 (authorization to conclude agreements); Section 3(a)(1) of the 1989 Wildfire Suppression Assistance Act (42 USC 1856n(a)(1)); U.S. Constitution, Article II, Sec. 1 (executive power clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Background Statement Concerning the Wildfire Protection Agreement For The Common Border Between The United States and Mexico Signed At Mexico City June 4, 1999' Description:'TIAS 13039 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 13039 cover memo
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Social Sciences
|
Highest Rating 1 (authorization to conclude agreements); Section 3(a)(1) of the 1989 Wildfire Suppression Assistance Act (42 USC 1856n(a)(1)); U.S. Constitution, Article II, Sec. 1 (executive power clause)
|
doi:10.7910/DVN/0GJDH6
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Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America and The Government Of Jamaica Regarding the Sharing Of Forfeited Assets Or The Proceeds Of Disposition Of Such Assets Signed At Kingston August 22, 2001 Entered Into Force August 22, 2001
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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:'TIAS 01-822 cover memo' . 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 : {'18 USC 981(i)(1); 19 USC 1616a(c)(2); 21 USC 881(e)(1)(E); 31 USC 9703(h)(2); Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II, Sec. 2, Sec. 3'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America and The Government Of Jamaica Regarding the Sharing Of Forfeited Assets Or The Proceeds Of Disposition Of Such Assets Signed At Kingston August 22, 2001 Entered Into Force August 22, 2001' Description:'TIAS 01-822 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 01-822 cover memo
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Law
|
18 USC 981(i)(1); 19 USC 1616a(c)(2); 21 USC 881(e)(1)(E); 31 USC 9703(h)(2); Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II, Sec. 2, Sec. 3
|
doi:10.7910/DVN/0GJDH6
|
Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America and The Government Of Jamaica Regarding the Sharing Of Forfeited Assets Or The Proceeds Of Disposition Of Such Assets Signed At Kingston August 22, 2001 Entered Into Force August 22, 2001
|
<|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:'TIAS 01-822 cover memo' . 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 : {'18 USC 981(i)(1); 19 USC 1616a(c)(2); 21 USC 881(e)(1)(E); 31 USC 9703(h)(2); Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II, Sec. 2, Sec. 3'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The Government of the United States of America and The Government Of Jamaica Regarding the Sharing Of Forfeited Assets Or The Proceeds Of Disposition Of Such Assets Signed At Kingston August 22, 2001 Entered Into Force August 22, 2001' Description:'TIAS 01-822 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
TIAS 01-822 cover memo
|
Social Sciences
|
18 USC 981(i)(1); 19 USC 1616a(c)(2); 21 USC 881(e)(1)(E); 31 USC 9703(h)(2); Highest Rating 3 (authorization to furnish assistance); U.S. Constitution, Article II, Sec. 2, Sec. 3
|
doi:10.7910/DVN/0GNEIT
|
Executive Agreements Database, Statement Regarding Agreement Concerning the Status Of United States Personnel Who May Be Present In Guatemala. Effected By Exchange Of Notes Act Guatemala September 8 and 19, 2005. Entered Into Force November 2, 2005
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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:'KAV 7479First signed 09/08/2005Last signed 09/19/2005Entry into force (supplemented by last signed) 11/02/2005stamped 05-327C06563978cover memo' . 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 : {'10 USC 168; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1, Sec. 2 (foreign relations clause) (commander in chief clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Concerning the Status Of United States Personnel Who May Be Present In Guatemala. Effected By Exchange Of Notes Act Guatemala September 8 and 19, 2005. Entered Into Force November 2, 2005' Description:'KAV 7479First signed 09/08/2005Last signed 09/19/2005Entry into force (supplemented by last signed) 11/02/2005stamped 05-327C06563978cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 7479First signed 09/08/2005Last signed 09/19/2005Entry into force (supplemented by last signed) 11/02/2005stamped 05-327C06563978cover memo
|
Law
|
10 USC 168; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1, Sec. 2 (foreign relations clause) (commander in chief clause)
|
doi:10.7910/DVN/0GNEIT
|
Executive Agreements Database, Statement Regarding Agreement Concerning the Status Of United States Personnel Who May Be Present In Guatemala. Effected By Exchange Of Notes Act Guatemala September 8 and 19, 2005. Entered Into Force November 2, 2005
|
<|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:'KAV 7479First signed 09/08/2005Last signed 09/19/2005Entry into force (supplemented by last signed) 11/02/2005stamped 05-327C06563978cover memo' . 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 : {'10 USC 168; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1, Sec. 2 (foreign relations clause) (commander in chief clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Concerning the Status Of United States Personnel Who May Be Present In Guatemala. Effected By Exchange Of Notes Act Guatemala September 8 and 19, 2005. Entered Into Force November 2, 2005' Description:'KAV 7479First signed 09/08/2005Last signed 09/19/2005Entry into force (supplemented by last signed) 11/02/2005stamped 05-327C06563978cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 7479First signed 09/08/2005Last signed 09/19/2005Entry into force (supplemented by last signed) 11/02/2005stamped 05-327C06563978cover memo
|
Social Sciences
|
10 USC 168; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II, Sec. 1, Sec. 2 (foreign relations clause) (commander in chief clause)
|
doi:10.7910/DVN/0GNJNH
|
Executive Agreements Database, Statement Concerning Amendment Two to the Agreement Regarding Cooperative System Development and Demonstration of the Rolling Airframe Missile Block 2 Upgrade to the Mk 31 Guided Missile Weapon System Of May 11, 2007 Klobenz and Washington November 18 and 26, 2014 Entered Into Force November 26, 2014
|
<|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:'First signed 11/18/2014Last signed 11/26/2014Entry into force (supplemented by last signed) 11/26/2014stamped 2015-0015C06542917cover memo' . 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 : {'Arms Export Control Act, Section 27; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning Amendment Two to the Agreement Regarding Cooperative System Development and Demonstration of the Rolling Airframe Missile Block 2 Upgrade to the Mk 31 Guided Missile Weapon System Of May 11, 2007 Klobenz and Washington November 18 and 26, 2014 Entered Into Force November 26, 2014' Description:'First signed 11/18/2014Last signed 11/26/2014Entry into force (supplemented by last signed) 11/26/2014stamped 2015-0015C06542917cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
First signed 11/18/2014Last signed 11/26/2014Entry into force (supplemented by last signed) 11/26/2014stamped 2015-0015C06542917cover memo
|
Law
|
Arms Export Control Act, Section 27; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II
|
doi:10.7910/DVN/0GNJNH
|
Executive Agreements Database, Statement Concerning Amendment Two to the Agreement Regarding Cooperative System Development and Demonstration of the Rolling Airframe Missile Block 2 Upgrade to the Mk 31 Guided Missile Weapon System Of May 11, 2007 Klobenz and Washington November 18 and 26, 2014 Entered Into Force November 26, 2014
|
<|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:'First signed 11/18/2014Last signed 11/26/2014Entry into force (supplemented by last signed) 11/26/2014stamped 2015-0015C06542917cover memo' . 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 : {'Arms Export Control Act, Section 27; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Concerning Amendment Two to the Agreement Regarding Cooperative System Development and Demonstration of the Rolling Airframe Missile Block 2 Upgrade to the Mk 31 Guided Missile Weapon System Of May 11, 2007 Klobenz and Washington November 18 and 26, 2014 Entered Into Force November 26, 2014' Description:'First signed 11/18/2014Last signed 11/26/2014Entry into force (supplemented by last signed) 11/26/2014stamped 2015-0015C06542917cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
First signed 11/18/2014Last signed 11/26/2014Entry into force (supplemented by last signed) 11/26/2014stamped 2015-0015C06542917cover memo
|
Social Sciences
|
Arms Export Control Act, Section 27; Highest Rating 1 (authorization to conclude agreements); U.S. Constitution, Article II
|
doi:10.7910/DVN/0GXJYN
|
Executive Agreements Database, Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of Nov 8, 1983, As Amended,for The Transfer Of Defense Related Technologies Effected By Exchange Of Notes Act Tokyo Feb 6, 1998
|
<|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:'KAV 5122cover memo' . 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 : {'Article II of the US Japan Mutual Defense Assistance Agreement, Signed At Tokyo March 8, 1954 (TIAS 2957; 5 UST 661); Highest Rating 4 (authorization to engage in international cooperation or establish a program)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of Nov 8, 1983, As Amended,for The Transfer Of Defense Related Technologies Effected By Exchange Of Notes Act Tokyo Feb 6, 1998' Description:'KAV 5122cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 5122cover memo
|
Law
|
Article II of the US Japan Mutual Defense Assistance Agreement, Signed At Tokyo March 8, 1954 (TIAS 2957; 5 UST 661); Highest Rating 4 (authorization to engage in international cooperation or establish a program)
|
doi:10.7910/DVN/0GXJYN
|
Executive Agreements Database, Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of Nov 8, 1983, As Amended,for The Transfer Of Defense Related Technologies Effected By Exchange Of Notes Act Tokyo Feb 6, 1998
|
<|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:'KAV 5122cover memo' . 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 : {'Article II of the US Japan Mutual Defense Assistance Agreement, Signed At Tokyo March 8, 1954 (TIAS 2957; 5 UST 661); Highest Rating 4 (authorization to engage in international cooperation or establish a program)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding Agreement Between The United States and Japan Amending The Agreement Of Nov 8, 1983, As Amended,for The Transfer Of Defense Related Technologies Effected By Exchange Of Notes Act Tokyo Feb 6, 1998' Description:'KAV 5122cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 5122cover memo
|
Social Sciences
|
Article II of the US Japan Mutual Defense Assistance Agreement, Signed At Tokyo March 8, 1954 (TIAS 2957; 5 UST 661); Highest Rating 4 (authorization to engage in international cooperation or establish a program)
|
doi:10.7910/DVN/0GXR3H
|
Executive Agreements Database, Statement Regarding United States-France Agreement Relating to the Employment of Dependents Of Government Employees, Effected by Exchange of Notes Act Paris, December 30, 1988
|
<|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:'KAV 641 cover memo' . 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 : {'Highest Rating 1 (authorization to conclude agreements); Section 401(a) of PL 95-426 (92 Stat 977); Section 4 of the Diplomatic Relations Act of 1978 (22 USCA, 1254c); Section 706(b)(1) of PL 96-465 (94 Stat 2071); U.S. Constitution, Article II, Sec. 1, Sec. 3 (foreign relations clause) (receiving ambassadors clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding United States-France Agreement Relating to the Employment of Dependents Of Government Employees, Effected by Exchange of Notes Act Paris, December 30, 1988' Description:'KAV 641 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 641 cover memo
|
Law
|
Highest Rating 1 (authorization to conclude agreements); Section 401(a) of PL 95-426 (92 Stat 977); Section 4 of the Diplomatic Relations Act of 1978 (22 USCA, 1254c); Section 706(b)(1) of PL 96-465 (94 Stat 2071); U.S. Constitution, Article II, Sec. 1, Sec. 3 (foreign relations clause) (receiving ambassadors clause)
|
doi:10.7910/DVN/0GXR3H
|
Executive Agreements Database, Statement Regarding United States-France Agreement Relating to the Employment of Dependents Of Government Employees, Effected by Exchange of Notes Act Paris, December 30, 1988
|
<|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:'KAV 641 cover memo' . 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 : {'Highest Rating 1 (authorization to conclude agreements); Section 401(a) of PL 95-426 (92 Stat 977); Section 4 of the Diplomatic Relations Act of 1978 (22 USCA, 1254c); Section 706(b)(1) of PL 96-465 (94 Stat 2071); U.S. Constitution, Article II, Sec. 1, Sec. 3 (foreign relations clause) (receiving ambassadors clause)'} <|eot_id|>
|
Here are Title, Description and Subject of a dataset. Title :'Executive Agreements Database, Statement Regarding United States-France Agreement Relating to the Employment of Dependents Of Government Employees, Effected by Exchange of Notes Act Paris, December 30, 1988' Description:'KAV 641 cover memo' Subject:'Law; Social Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
KAV 641 cover memo
|
Social Sciences
|
Highest Rating 1 (authorization to conclude agreements); Section 401(a) of PL 95-426 (92 Stat 977); Section 4 of the Diplomatic Relations Act of 1978 (22 USCA, 1254c); Section 706(b)(1) of PL 96-465 (94 Stat 2071); U.S. Constitution, Article II, Sec. 1, Sec. 3 (foreign relations clause) (receiving ambassadors clause)
|
doi:10.21421/D2/DOYRML
|
Phenotypic evaluation data of short duration Pigeonpea varieties trial for year 2016-17
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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 contains phenotypic evaluation data of short duration Pigeon pea varietal trials for year 2016-17. The research work carried out at ICRISAT Center, Patancheru. Pigeonpea is a very important grain legume crop for food other uses in Asia and Africa. It is often cross-pollinated species with a diploid number of 2n= 2x22 and genome size of 858Mbp. Every year 50 to 100 and above new crosses (and also CMS hybrids) will be made evaluated in nurseries to develop new high yielding cultivars with adaptability to different climatic/agronomic zones. Based on their agronomic performance in nurseries for maturity time, branching pattern and number of branches, pod color, pod yield and other pest and diseases tolerance characters etc, the superior progenies will be selected and advanced to further generations. The progenies selected based on preliminary/nursery data will be evaluated along with controls in replicated (twice or thrice) trials every year for further agronomic evaluation and selection. The agronomic data (days to 50% flowering and/or maturity, plant height, grain yield, grain size and color etc) of the progenies evaluated in years 2015 were presented herewith. The trial details and plot sizes were given. This data helps us to select and advance further. Finally the few best progenies among them will be evaluated in on-farm trials (OFTs) and in multi-location trials. The best performed progenies will be considered to promote/release in respective agronomic zones. Experiment location on Google Map ' . 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 : {'Days to 50% flowering; Entry number; Grain weight per plot; Pigeonpea; Plant height; Plant stand; Replication number; Seeds per pod; Weight of 100 seeds'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Phenotypic evaluation data of short duration Pigeonpea varieties trial for year 2016-17' Description:'This database contains phenotypic evaluation data of short duration Pigeon pea varietal trials for year 2016-17. The research work carried out at ICRISAT Center, Patancheru. Pigeonpea is a very important grain legume crop for food other uses in Asia and Africa. It is often cross-pollinated species with a diploid number of 2n= 2x22 and genome size of 858Mbp. Every year 50 to 100 and above new crosses (and also CMS hybrids) will be made evaluated in nurseries to develop new high yielding cultivars with adaptability to different climatic/agronomic zones. Based on their agronomic performance in nurseries for maturity time, branching pattern and number of branches, pod color, pod yield and other pest and diseases tolerance characters etc, the superior progenies will be selected and advanced to further generations. The progenies selected based on preliminary/nursery data will be evaluated along with controls in replicated (twice or thrice) trials every year for further agronomic evaluation and selection. The agronomic data (days to 50% flowering and/or maturity, plant height, grain yield, grain size and color etc) of the progenies evaluated in years 2015 were presented herewith. The trial details and plot sizes were given. This data helps us to select and advance further. Finally the few best progenies among them will be evaluated in on-farm trials (OFTs) and in multi-location trials. The best performed progenies will be considered to promote/release in respective agronomic zones. Experiment location on Google Map ' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This database contains phenotypic evaluation data of short duration Pigeon pea varietal trials for year 2016-17. The research work carried out at ICRISAT Center, Patancheru. Pigeonpea is a very important grain legume crop for food other uses in Asia and Africa. It is often cross-pollinated species with a diploid number of 2n= 2x22 and genome size of 858Mbp. Every year 50 to 100 and above new crosses (and also CMS hybrids) will be made evaluated in nurseries to develop new high yielding cultivars with adaptability to different climatic/agronomic zones. Based on their agronomic performance in nurseries for maturity time, branching pattern and number of branches, pod color, pod yield and other pest and diseases tolerance characters etc, the superior progenies will be selected and advanced to further generations. The progenies selected based on preliminary/nursery data will be evaluated along with controls in replicated (twice or thrice) trials every year for further agronomic evaluation and selection. The agronomic data (days to 50% flowering and/or maturity, plant height, grain yield, grain size and color etc) of the progenies evaluated in years 2015 were presented herewith. The trial details and plot sizes were given. This data helps us to select and advance further. Finally the few best progenies among them will be evaluated in on-farm trials (OFTs) and in multi-location trials. The best performed progenies will be considered to promote/release in respective agronomic zones. Experiment location on Google Map
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Agricultural Sciences
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Days to 50% flowering; Entry number; Grain weight per plot; Pigeonpea; Plant height; Plant stand; Replication number; Seeds per pod; Weight of 100 seeds
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doi:10.17528/CIFOR/DATA.00086
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Replication Data for: Impacts of drought and responses of rural populations in West Africa: a systematic review
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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:'LIst of selected articles use to conducted a systematic review of the subject.The queries is described in the supporting information 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 : {'climate change; Climate Change, Energy and low carbon development (CCE); drought; systematic reviews'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Impacts of drought and responses of rural populations in West Africa: a systematic review' Description:'LIst of selected articles use to conducted a systematic review of the subject.The queries is described in the supporting information documents.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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LIst of selected articles use to conducted a systematic review of the subject.The queries is described in the supporting information documents.
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Agricultural Sciences
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climate change; Climate Change, Energy and low carbon development (CCE); drought; systematic reviews
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doi:10.18710/2LXWNW
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Replication Data for 'Different protein sources in concentrate feed to dairy cows affects cheese making properties and yield'
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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:'Norwegian Red dairy cows (n = 48) in early/mid lactation were divided in three groups and fed a ration consisting of grass silage and concentrate, where the concentrates were barley based but with different additional protein sources. These were: completely barley-based with no additional protein source (BAR), additional protein from soybean meal (SMB) or additional protein from yeast (Cyberlindnera jadinii) (YEA). The SBM and YEA concentrates had a higher protein content than the barley concentrate. Four batches of cheese were made from pooled milk from each of the three groups of dairy cows and individual milk samples were collected five times during the experiment and were analysed.' . 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 : {'Cheese making efficiency; Cheese yield; Effect on feed on cheese'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for 'Different protein sources in concentrate feed to dairy cows affects cheese making properties and yield'' Description:'Norwegian Red dairy cows (n = 48) in early/mid lactation were divided in three groups and fed a ration consisting of grass silage and concentrate, where the concentrates were barley based but with different additional protein sources. These were: completely barley-based with no additional protein source (BAR), additional protein from soybean meal (SMB) or additional protein from yeast (Cyberlindnera jadinii) (YEA). The SBM and YEA concentrates had a higher protein content than the barley concentrate. Four batches of cheese were made from pooled milk from each of the three groups of dairy cows and individual milk samples were collected five times during the experiment and were analysed.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Norwegian Red dairy cows (n = 48) in early/mid lactation were divided in three groups and fed a ration consisting of grass silage and concentrate, where the concentrates were barley based but with different additional protein sources. These were: completely barley-based with no additional protein source (BAR), additional protein from soybean meal (SMB) or additional protein from yeast (Cyberlindnera jadinii) (YEA). The SBM and YEA concentrates had a higher protein content than the barley concentrate. Four batches of cheese were made from pooled milk from each of the three groups of dairy cows and individual milk samples were collected five times during the experiment and were analysed.
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Agricultural Sciences
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Cheese making efficiency; Cheese yield; Effect on feed on cheese
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doi:10.18710/3JGCCO
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Replicate data on: Roots and other residues from leys with or without red clover; quality and effects on N2O Emission Factor after ploughing
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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:'Detailed data of the soil characteristics, field management, amount and N content of below (roots +crown) and above (stubble and herbage) ground grass mixture, red clover and red clover grass swards at the end of the 3rd production year, together with fluxes of greenhouse gas emissions (N2O, CO2, CH4) and soil air composition (CO2, N2O, CH4, N2 and O2) of a field experiment in Norway.These data supplement the findings presented in the corresponding research article “Roots and other residues from ley with or without red clover: quality and effects on N2O Emission Factor after ploughing”. For understanding of the effects of incorporating ley above and below ground residues on cumulative greenhouse emissions refer to article from this research.' . 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 : {'CH4; Crop residue; Denitrification; Freezing; GHG; Low temperature; Snow; Thawing'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replicate data on: Roots and other residues from leys with or without red clover; quality and effects on N2O Emission Factor after ploughing' Description:'Detailed data of the soil characteristics, field management, amount and N content of below (roots +crown) and above (stubble and herbage) ground grass mixture, red clover and red clover grass swards at the end of the 3rd production year, together with fluxes of greenhouse gas emissions (N2O, CO2, CH4) and soil air composition (CO2, N2O, CH4, N2 and O2) of a field experiment in Norway.These data supplement the findings presented in the corresponding research article “Roots and other residues from ley with or without red clover: quality and effects on N2O Emission Factor after ploughing”. For understanding of the effects of incorporating ley above and below ground residues on cumulative greenhouse emissions refer to article from this research.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Detailed data of the soil characteristics, field management, amount and N content of below (roots +crown) and above (stubble and herbage) ground grass mixture, red clover and red clover grass swards at the end of the 3rd production year, together with fluxes of greenhouse gas emissions (N2O, CO2, CH4) and soil air composition (CO2, N2O, CH4, N2 and O2) of a field experiment in Norway.These data supplement the findings presented in the corresponding research article “Roots and other residues from ley with or without red clover: quality and effects on N2O Emission Factor after ploughing”. For understanding of the effects of incorporating ley above and below ground residues on cumulative greenhouse emissions refer to article from this research.
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Agricultural Sciences
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CH4; Crop residue; Denitrification; Freezing; GHG; Low temperature; Snow; Thawing
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doi:10.18738/T8/SZU18S
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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|>
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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:
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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.
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Agricultural Sciences
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1972-1990; 20th century; Cuban Revolution
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doi:10.18738/T8/SZU18S
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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|>
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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:
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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.
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Arts and Humanities
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1972-1990; 20th century; Cuban Revolution
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doi:10.18738/T8/SZU18S
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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|>
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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:
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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.
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Engineering
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1972-1990; 20th century; Cuban Revolution
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doi:10.18738/T8/SZU18S
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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|>
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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:
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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.
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Social Sciences
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1972-1990; 20th century; Cuban Revolution
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doi:10.18710/DSAPAP
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Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation
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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: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and induce gene-flow between locally adapted populations or closely related species. In this study, we evaluated the genetic consequences of large scale translocation of cleaner wrasses that has become a common practice within the salmon aquaculture industry in northern Europe to combat sea lice infestation. A major concern with this practice is the potential for hybridization of escaped organisms with the local, recipient wrasse population, and thus potentially introduce exogenous alleles and breaking down coadapted gene-complexes in local populations. We investigated the potential threat for such genetic introgressions in a large semi-natural mesocosm basin. The experimental setting represented a simulated translocation of corkwing wrasse (Symphodus melops) that occurs on a large scale in the Norwegian salmon industry. Parentage assignment analysis of mesocosm’s offspring revealed 30 % (195 out of 651 offspring) interbreeding between the two populations, despite their being genetically (FST = 0.094, p < 0.05) and phenotypically differentiated. Moreover, our results suggest that reproductive fitness of the translocated western population doubled that of the local southern population. Our results confirm that human translocations may overcome the impediments imposed by natural habitat discontinuities and urge for immediate action to manage the genetic resources of these small benthic wrasses.' . 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 : {'corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation' Description:'Abstract: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and induce gene-flow between locally adapted populations or closely related species. In this study, we evaluated the genetic consequences of large scale translocation of cleaner wrasses that has become a common practice within the salmon aquaculture industry in northern Europe to combat sea lice infestation. A major concern with this practice is the potential for hybridization of escaped organisms with the local, recipient wrasse population, and thus potentially introduce exogenous alleles and breaking down coadapted gene-complexes in local populations. We investigated the potential threat for such genetic introgressions in a large semi-natural mesocosm basin. The experimental setting represented a simulated translocation of corkwing wrasse (Symphodus melops) that occurs on a large scale in the Norwegian salmon industry. Parentage assignment analysis of mesocosm’s offspring revealed 30 % (195 out of 651 offspring) interbreeding between the two populations, despite their being genetically (FST = 0.094, p < 0.05) and phenotypically differentiated. Moreover, our results suggest that reproductive fitness of the translocated western population doubled that of the local southern population. Our results confirm that human translocations may overcome the impediments imposed by natural habitat discontinuities and urge for immediate action to manage the genetic resources of these small benthic wrasses.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Abstract: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and induce gene-flow between locally adapted populations or closely related species. In this study, we evaluated the genetic consequences of large scale translocation of cleaner wrasses that has become a common practice within the salmon aquaculture industry in northern Europe to combat sea lice infestation. A major concern with this practice is the potential for hybridization of escaped organisms with the local, recipient wrasse population, and thus potentially introduce exogenous alleles and breaking down coadapted gene-complexes in local populations. We investigated the potential threat for such genetic introgressions in a large semi-natural mesocosm basin. The experimental setting represented a simulated translocation of corkwing wrasse (Symphodus melops) that occurs on a large scale in the Norwegian salmon industry. Parentage assignment analysis of mesocosm’s offspring revealed 30 % (195 out of 651 offspring) interbreeding between the two populations, despite their being genetically (FST = 0.094, p < 0.05) and phenotypically differentiated. Moreover, our results suggest that reproductive fitness of the translocated western population doubled that of the local southern population. Our results confirm that human translocations may overcome the impediments imposed by natural habitat discontinuities and urge for immediate action to manage the genetic resources of these small benthic wrasses.
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Agricultural Sciences
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corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops
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doi:10.18710/DSAPAP
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Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation
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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: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and induce gene-flow between locally adapted populations or closely related species. In this study, we evaluated the genetic consequences of large scale translocation of cleaner wrasses that has become a common practice within the salmon aquaculture industry in northern Europe to combat sea lice infestation. A major concern with this practice is the potential for hybridization of escaped organisms with the local, recipient wrasse population, and thus potentially introduce exogenous alleles and breaking down coadapted gene-complexes in local populations. We investigated the potential threat for such genetic introgressions in a large semi-natural mesocosm basin. The experimental setting represented a simulated translocation of corkwing wrasse (Symphodus melops) that occurs on a large scale in the Norwegian salmon industry. Parentage assignment analysis of mesocosm’s offspring revealed 30 % (195 out of 651 offspring) interbreeding between the two populations, despite their being genetically (FST = 0.094, p < 0.05) and phenotypically differentiated. Moreover, our results suggest that reproductive fitness of the translocated western population doubled that of the local southern population. Our results confirm that human translocations may overcome the impediments imposed by natural habitat discontinuities and urge for immediate action to manage the genetic resources of these small benthic wrasses.' . 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 : {'corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation' Description:'Abstract: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and induce gene-flow between locally adapted populations or closely related species. In this study, we evaluated the genetic consequences of large scale translocation of cleaner wrasses that has become a common practice within the salmon aquaculture industry in northern Europe to combat sea lice infestation. A major concern with this practice is the potential for hybridization of escaped organisms with the local, recipient wrasse population, and thus potentially introduce exogenous alleles and breaking down coadapted gene-complexes in local populations. We investigated the potential threat for such genetic introgressions in a large semi-natural mesocosm basin. The experimental setting represented a simulated translocation of corkwing wrasse (Symphodus melops) that occurs on a large scale in the Norwegian salmon industry. Parentage assignment analysis of mesocosm’s offspring revealed 30 % (195 out of 651 offspring) interbreeding between the two populations, despite their being genetically (FST = 0.094, p < 0.05) and phenotypically differentiated. Moreover, our results suggest that reproductive fitness of the translocated western population doubled that of the local southern population. Our results confirm that human translocations may overcome the impediments imposed by natural habitat discontinuities and urge for immediate action to manage the genetic resources of these small benthic wrasses.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Abstract: Translocation of organisms within or outside its native range carries the risk of modifying the community of the recipient ecosystems and induce gene-flow between locally adapted populations or closely related species. In this study, we evaluated the genetic consequences of large scale translocation of cleaner wrasses that has become a common practice within the salmon aquaculture industry in northern Europe to combat sea lice infestation. A major concern with this practice is the potential for hybridization of escaped organisms with the local, recipient wrasse population, and thus potentially introduce exogenous alleles and breaking down coadapted gene-complexes in local populations. We investigated the potential threat for such genetic introgressions in a large semi-natural mesocosm basin. The experimental setting represented a simulated translocation of corkwing wrasse (Symphodus melops) that occurs on a large scale in the Norwegian salmon industry. Parentage assignment analysis of mesocosm’s offspring revealed 30 % (195 out of 651 offspring) interbreeding between the two populations, despite their being genetically (FST = 0.094, p < 0.05) and phenotypically differentiated. Moreover, our results suggest that reproductive fitness of the translocated western population doubled that of the local southern population. Our results confirm that human translocations may overcome the impediments imposed by natural habitat discontinuities and urge for immediate action to manage the genetic resources of these small benthic wrasses.
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Earth and Environmental Sciences
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corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops
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doi:10.18710/DSAPAP
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Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation
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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 data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.' . 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 : {'corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation' Description:'This data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.
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Agricultural Sciences
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corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops
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doi:10.18710/DSAPAP
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Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation
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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 data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.' . 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 : {'corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Interbreeding between local and translocated populations of a cleaner fish in an experimental mesocosm predicts risk of disrupted local adaptation' Description:'This data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This data file contains genotypic information at 11 microsatellite loci for parental analysis of corkwing wrasse (Symphodus melops). Additionally, it also contains phenotypic information from breeders.
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Earth and Environmental Sciences
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corkwing wrasse; mating behavior; microsatellites; parentage assignment; reproductive fitness; Symphodus melops
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doi:10.18710/H5G3K5
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NorFisk 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:'Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.' . 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 : {'Annotated images; Deep Learning; Fish species detection; Marine aquaculture applications; Object recognition'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'NorFisk Dataset' Description:'Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.' Subject:'Agricultural Sciences; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.
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Agricultural Sciences
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Annotated images; Deep Learning; Fish species detection; Marine aquaculture applications; Object recognition
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doi:10.18710/H5G3K5
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NorFisk 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:'Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.' . 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 : {'Annotated images; Deep Learning; Fish species detection; Marine aquaculture applications; Object recognition'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'NorFisk Dataset' Description:'Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.' Subject:'Agricultural Sciences; Computer and Information Science. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.
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Computer and Information Science
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Annotated images; Deep Learning; Fish species detection; Marine aquaculture applications; Object recognition
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doi:10.18738/T8/BJ0MRQ
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Inventory of feed prices and quality across major feed market places in southern Ethiopia
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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 set presents feed types, prices and quality of feed resources traded in major market places in southern Ethiopia' . 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 : {'Fodder market, prices, feed quality'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Inventory of feed prices and quality across major feed market places in southern Ethiopia' Description:'The data set presents feed types, prices and quality of feed resources traded in major market places in southern Ethiopia' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The data set presents feed types, prices and quality of feed resources traded in major market places in southern Ethiopia
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Agricultural Sciences
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Fodder market, prices, feed quality
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doi:10.18710/HN1J3E
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Replicate Data for: Soil pH-increase strongly mitigated N2O emissions following ploughing of grass and clover swards in autumn: a winter field 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:'These data were collected in order to explore the effect of liming on nitrous oxide (N2O) emissions from plant residues in an acidic soil.Field data of N2O fluxes measured by a robotized chamber device after ploughing of temporary grassland plots with two contrasting soil pH. Treatments were a grass mixture, a red clover-grass mixture and red clover in pure stand, factorially combined with two soil pH treatments: control (pH-aq roughly 5.1) and limed (pH aq roughly 6). In addition, plots of a white clover-grass mixture on low pH soil only, and of the red clover-grass mixture were split into two nitrogen fertiliser treatments: a low dose and a normal dose, whereas the grass mixture received only normal dose nitrogen fertilizer and red clover in pure stand received no nitrogen fertilizer. Nitrogen treatments occurred during the growing season previous to ploughing. Fluxes were also measured in spring and late summer 2018. Most emissions occurred during the winter period, after ploughing in September 2018 to early April 2019. The field was exposed to freeze-thaw, snow cover, and snow melting. Plot-wise soil pH measurement in Calcium chloride or in water are included. In addition, also mineral soil N (ammonium and nitrate) are provided on selected dates.These data are presented and discussed in the companion article. They are provided here for transparency. The data may also be useful for comparisons with further studies on the effect of soil pH on nitrous oxide emissions and on N2O sampling methodologies. They provide also information on soil mineral N after ploughing of 3 y old forage leys.' . 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 : {'Crop residue; Denitrification; Emission reduction; Freeze-Thaw; GHG;; Grass; Leguminous; Litter; Low temperature; Nitrification; Nitrous oxide; Red clover; Snow melting; Soil pH; Winter'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replicate Data for: Soil pH-increase strongly mitigated N2O emissions following ploughing of grass and clover swards in autumn: a winter field study' Description:'These data were collected in order to explore the effect of liming on nitrous oxide (N2O) emissions from plant residues in an acidic soil.Field data of N2O fluxes measured by a robotized chamber device after ploughing of temporary grassland plots with two contrasting soil pH. Treatments were a grass mixture, a red clover-grass mixture and red clover in pure stand, factorially combined with two soil pH treatments: control (pH-aq roughly 5.1) and limed (pH aq roughly 6). In addition, plots of a white clover-grass mixture on low pH soil only, and of the red clover-grass mixture were split into two nitrogen fertiliser treatments: a low dose and a normal dose, whereas the grass mixture received only normal dose nitrogen fertilizer and red clover in pure stand received no nitrogen fertilizer. Nitrogen treatments occurred during the growing season previous to ploughing. Fluxes were also measured in spring and late summer 2018. Most emissions occurred during the winter period, after ploughing in September 2018 to early April 2019. The field was exposed to freeze-thaw, snow cover, and snow melting. Plot-wise soil pH measurement in Calcium chloride or in water are included. In addition, also mineral soil N (ammonium and nitrate) are provided on selected dates.These data are presented and discussed in the companion article. They are provided here for transparency. The data may also be useful for comparisons with further studies on the effect of soil pH on nitrous oxide emissions and on N2O sampling methodologies. They provide also information on soil mineral N after ploughing of 3 y old forage leys.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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These data were collected in order to explore the effect of liming on nitrous oxide (N2O) emissions from plant residues in an acidic soil.Field data of N2O fluxes measured by a robotized chamber device after ploughing of temporary grassland plots with two contrasting soil pH. Treatments were a grass mixture, a red clover-grass mixture and red clover in pure stand, factorially combined with two soil pH treatments: control (pH-aq roughly 5.1) and limed (pH aq roughly 6). In addition, plots of a white clover-grass mixture on low pH soil only, and of the red clover-grass mixture were split into two nitrogen fertiliser treatments: a low dose and a normal dose, whereas the grass mixture received only normal dose nitrogen fertilizer and red clover in pure stand received no nitrogen fertilizer. Nitrogen treatments occurred during the growing season previous to ploughing. Fluxes were also measured in spring and late summer 2018. Most emissions occurred during the winter period, after ploughing in September 2018 to early April 2019. The field was exposed to freeze-thaw, snow cover, and snow melting. Plot-wise soil pH measurement in Calcium chloride or in water are included. In addition, also mineral soil N (ammonium and nitrate) are provided on selected dates.These data are presented and discussed in the companion article. They are provided here for transparency. The data may also be useful for comparisons with further studies on the effect of soil pH on nitrous oxide emissions and on N2O sampling methodologies. They provide also information on soil mineral N after ploughing of 3 y old forage leys.
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Agricultural Sciences
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Crop residue; Denitrification; Emission reduction; Freeze-Thaw; GHG;; Grass; Leguminous; Litter; Low temperature; Nitrification; Nitrous oxide; Red clover; Snow melting; Soil pH; Winter
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doi:10.18710/HN1J3E
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Replicate Data for: Soil pH-increase strongly mitigated N2O emissions following ploughing of grass and clover swards in autumn: a winter field 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:'These data were collected in order to explore the effect of liming on nitrous oxide (N2O) emissions from plant residues in an acidic soil.Field data of N2O fluxes measured by a robotized chamber device after ploughing of temporary grassland plots with two contrasting soil pH. Treatments were a grass mixture, a red clover-grass mixture and red clover in pure stand, factorially combined with two soil pH treatments: control (pH-aq roughly 5.1) and limed (pH aq roughly 6). In addition, plots of a white clover-grass mixture on low pH soil only, and of the red clover-grass mixture were split into two nitrogen fertiliser treatments: a low dose and a normal dose, whereas the grass mixture received only normal dose nitrogen fertilizer and red clover in pure stand received no nitrogen fertilizer. Nitrogen treatments occurred during the growing season previous to ploughing. Fluxes were also measured in spring and late summer 2018. Most emissions occurred during the winter period, after ploughing in September 2018 to early April 2019. The field was exposed to freeze-thaw, snow cover, and snow melting. Plot-wise soil pH measurement in Calcium chloride or in water are included. In addition, also mineral soil N (ammonium and nitrate) are provided on selected dates.These data are presented and discussed in the companion article. They are provided here for transparency. The data may also be useful for comparisons with further studies on the effect of soil pH on nitrous oxide emissions and on N2O sampling methodologies. They provide also information on soil mineral N after ploughing of 3 y old forage leys.' . 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 : {'Crop residue; Denitrification; Emission reduction; Freeze-Thaw; GHG;; Grass; Leguminous; Litter; Low temperature; Nitrification; Nitrous oxide; Red clover; Snow melting; Soil pH; Winter'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replicate Data for: Soil pH-increase strongly mitigated N2O emissions following ploughing of grass and clover swards in autumn: a winter field study' Description:'These data were collected in order to explore the effect of liming on nitrous oxide (N2O) emissions from plant residues in an acidic soil.Field data of N2O fluxes measured by a robotized chamber device after ploughing of temporary grassland plots with two contrasting soil pH. Treatments were a grass mixture, a red clover-grass mixture and red clover in pure stand, factorially combined with two soil pH treatments: control (pH-aq roughly 5.1) and limed (pH aq roughly 6). In addition, plots of a white clover-grass mixture on low pH soil only, and of the red clover-grass mixture were split into two nitrogen fertiliser treatments: a low dose and a normal dose, whereas the grass mixture received only normal dose nitrogen fertilizer and red clover in pure stand received no nitrogen fertilizer. Nitrogen treatments occurred during the growing season previous to ploughing. Fluxes were also measured in spring and late summer 2018. Most emissions occurred during the winter period, after ploughing in September 2018 to early April 2019. The field was exposed to freeze-thaw, snow cover, and snow melting. Plot-wise soil pH measurement in Calcium chloride or in water are included. In addition, also mineral soil N (ammonium and nitrate) are provided on selected dates.These data are presented and discussed in the companion article. They are provided here for transparency. The data may also be useful for comparisons with further studies on the effect of soil pH on nitrous oxide emissions and on N2O sampling methodologies. They provide also information on soil mineral N after ploughing of 3 y old forage leys.' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
These data were collected in order to explore the effect of liming on nitrous oxide (N2O) emissions from plant residues in an acidic soil.Field data of N2O fluxes measured by a robotized chamber device after ploughing of temporary grassland plots with two contrasting soil pH. Treatments were a grass mixture, a red clover-grass mixture and red clover in pure stand, factorially combined with two soil pH treatments: control (pH-aq roughly 5.1) and limed (pH aq roughly 6). In addition, plots of a white clover-grass mixture on low pH soil only, and of the red clover-grass mixture were split into two nitrogen fertiliser treatments: a low dose and a normal dose, whereas the grass mixture received only normal dose nitrogen fertilizer and red clover in pure stand received no nitrogen fertilizer. Nitrogen treatments occurred during the growing season previous to ploughing. Fluxes were also measured in spring and late summer 2018. Most emissions occurred during the winter period, after ploughing in September 2018 to early April 2019. The field was exposed to freeze-thaw, snow cover, and snow melting. Plot-wise soil pH measurement in Calcium chloride or in water are included. In addition, also mineral soil N (ammonium and nitrate) are provided on selected dates.These data are presented and discussed in the companion article. They are provided here for transparency. The data may also be useful for comparisons with further studies on the effect of soil pH on nitrous oxide emissions and on N2O sampling methodologies. They provide also information on soil mineral N after ploughing of 3 y old forage leys.
|
Earth and Environmental Sciences
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Crop residue; Denitrification; Emission reduction; Freeze-Thaw; GHG;; Grass; Leguminous; Litter; Low temperature; Nitrification; Nitrous oxide; Red clover; Snow melting; Soil pH; Winter
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doi:10.18710/HTCXRN
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An RNA-seq time series of the medaka pituitary gland during sexual maturation
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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:'Directing both organismal homeostasis and physiological adaptation, the pituitary is a key endocrine gland in all vertebrates. One of its major tasks is to coordinate sexual maturation though the production and release of hormones stimulating gonad development. In order to study its developmental dynamics in the model fish medaka (Oryzias latipes), we sampled both the pituitary and the ovaries of 68 fish across the entire course of sexual maturation. We subsequently analyzed the pituitary glands using RNA-seq optimized for low input, revealing the time courses of production for individual peptide hormones.' . 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 : {'Histology; Medaka; Pituitary gland; Teleost fish; Transcriptomics'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'An RNA-seq time series of the medaka pituitary gland during sexual maturation' Description:'Directing both organismal homeostasis and physiological adaptation, the pituitary is a key endocrine gland in all vertebrates. One of its major tasks is to coordinate sexual maturation though the production and release of hormones stimulating gonad development. In order to study its developmental dynamics in the model fish medaka (Oryzias latipes), we sampled both the pituitary and the ovaries of 68 fish across the entire course of sexual maturation. We subsequently analyzed the pituitary glands using RNA-seq optimized for low input, revealing the time courses of production for individual peptide hormones.' Subject:'Agricultural Sciences; 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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Directing both organismal homeostasis and physiological adaptation, the pituitary is a key endocrine gland in all vertebrates. One of its major tasks is to coordinate sexual maturation though the production and release of hormones stimulating gonad development. In order to study its developmental dynamics in the model fish medaka (Oryzias latipes), we sampled both the pituitary and the ovaries of 68 fish across the entire course of sexual maturation. We subsequently analyzed the pituitary glands using RNA-seq optimized for low input, revealing the time courses of production for individual peptide hormones.
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Agricultural Sciences
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Histology; Medaka; Pituitary gland; Teleost fish; Transcriptomics
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doi:10.18710/HTCXRN
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An RNA-seq time series of the medaka pituitary gland during sexual maturation
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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:'Directing both organismal homeostasis and physiological adaptation, the pituitary is a key endocrine gland in all vertebrates. One of its major tasks is to coordinate sexual maturation though the production and release of hormones stimulating gonad development. In order to study its developmental dynamics in the model fish medaka (Oryzias latipes), we sampled both the pituitary and the ovaries of 68 fish across the entire course of sexual maturation. We subsequently analyzed the pituitary glands using RNA-seq optimized for low input, revealing the time courses of production for individual peptide hormones.' . 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 : {'Histology; Medaka; Pituitary gland; Teleost fish; Transcriptomics'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'An RNA-seq time series of the medaka pituitary gland during sexual maturation' Description:'Directing both organismal homeostasis and physiological adaptation, the pituitary is a key endocrine gland in all vertebrates. One of its major tasks is to coordinate sexual maturation though the production and release of hormones stimulating gonad development. In order to study its developmental dynamics in the model fish medaka (Oryzias latipes), we sampled both the pituitary and the ovaries of 68 fish across the entire course of sexual maturation. We subsequently analyzed the pituitary glands using RNA-seq optimized for low input, revealing the time courses of production for individual peptide hormones.' Subject:'Agricultural Sciences; 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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Directing both organismal homeostasis and physiological adaptation, the pituitary is a key endocrine gland in all vertebrates. One of its major tasks is to coordinate sexual maturation though the production and release of hormones stimulating gonad development. In order to study its developmental dynamics in the model fish medaka (Oryzias latipes), we sampled both the pituitary and the ovaries of 68 fish across the entire course of sexual maturation. We subsequently analyzed the pituitary glands using RNA-seq optimized for low input, revealing the time courses of production for individual peptide hormones.
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Medicine, Health and Life Sciences
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Histology; Medaka; Pituitary gland; Teleost fish; Transcriptomics
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doi:10.18710/I6BD3R
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Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia
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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 report weekly measurements of soil nitrous oxide (N2O) emission and methane (CH4) uptake in the growing seasons 2015 and 2016 in a maize field experiment performed on the Hawassa University campus, Central Rift Valley, Ethiopia. The experiment was designed to test the effect of intercropping the forage legumes lablab (L. purpureus) and Crotalaria (C. juncea) into nitrogen (N) and phosphorous (P) fertilized maize 3 and 6 weeks after sowing of maize. The forage legumes were harvested at flowering and half of the biomass was returned to the same plots as mulch in the first season. In the second season, N fertilization was halved in mulched plots. Intercropping effects are evaluated against fully and non-fertilized maize treatments. The results are published in Raji SG and Dörsch P, Biogesciences, https://doi.org/10.5194/bg-2019-303' . 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 : {'agriculture; climate smart agriculture; greenhouse gas emissions; subsaharan Africa'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia' Description:'The data report weekly measurements of soil nitrous oxide (N2O) emission and methane (CH4) uptake in the growing seasons 2015 and 2016 in a maize field experiment performed on the Hawassa University campus, Central Rift Valley, Ethiopia. The experiment was designed to test the effect of intercropping the forage legumes lablab (L. purpureus) and Crotalaria (C. juncea) into nitrogen (N) and phosphorous (P) fertilized maize 3 and 6 weeks after sowing of maize. The forage legumes were harvested at flowering and half of the biomass was returned to the same plots as mulch in the first season. In the second season, N fertilization was halved in mulched plots. Intercropping effects are evaluated against fully and non-fertilized maize treatments. The results are published in Raji SG and Dörsch P, Biogesciences, https://doi.org/10.5194/bg-2019-303' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The data report weekly measurements of soil nitrous oxide (N2O) emission and methane (CH4) uptake in the growing seasons 2015 and 2016 in a maize field experiment performed on the Hawassa University campus, Central Rift Valley, Ethiopia. The experiment was designed to test the effect of intercropping the forage legumes lablab (L. purpureus) and Crotalaria (C. juncea) into nitrogen (N) and phosphorous (P) fertilized maize 3 and 6 weeks after sowing of maize. The forage legumes were harvested at flowering and half of the biomass was returned to the same plots as mulch in the first season. In the second season, N fertilization was halved in mulched plots. Intercropping effects are evaluated against fully and non-fertilized maize treatments. The results are published in Raji SG and Dörsch P, Biogesciences, https://doi.org/10.5194/bg-2019-303
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Agricultural Sciences
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agriculture; climate smart agriculture; greenhouse gas emissions; subsaharan Africa
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doi:10.21223/P3/CYD0PI
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Replication Data for: ‘NASPOT 12 O’ and ‘NASPOT 13 O’ Sweetpotato
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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 set has on-station advanced yied trials for 2011 to 2012 for Kachwekano, Ngetta, Serere, and Namulonge, and 2012 on-farm trials for Isingiro, Buyende, Rakai, Oyam, and Kabale districts in in Uganda. The data is in CloneSelector format or Excel and format for Sweetpotato Breeding Protocol (manual) (http://www.sweetpotatoknowledge.org/). The on-station and on-farm data on disease resistance, beta-carotene content, dry matter content, taste test and root weght from plots used to compute root yield, and biomass yield was the basis for official cultivar release in Uganda.' . 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 : {'Agriculture; Alternaria blight resistance; Breeding; Dry matter content; Orange-fleshed; Sweetpotato; Sweetpotato virus disease resistance; Varieties; Vitamin A'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: ‘NASPOT 12 O’ and ‘NASPOT 13 O’ Sweetpotato' Description:'The data set has on-station advanced yied trials for 2011 to 2012 for Kachwekano, Ngetta, Serere, and Namulonge, and 2012 on-farm trials for Isingiro, Buyende, Rakai, Oyam, and Kabale districts in in Uganda. The data is in CloneSelector format or Excel and format for Sweetpotato Breeding Protocol (manual) (http://www.sweetpotatoknowledge.org/). The on-station and on-farm data on disease resistance, beta-carotene content, dry matter content, taste test and root weght from plots used to compute root yield, and biomass yield was the basis for official cultivar release in Uganda.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The data set has on-station advanced yied trials for 2011 to 2012 for Kachwekano, Ngetta, Serere, and Namulonge, and 2012 on-farm trials for Isingiro, Buyende, Rakai, Oyam, and Kabale districts in in Uganda. The data is in CloneSelector format or Excel and format for Sweetpotato Breeding Protocol (manual) (http://www.sweetpotatoknowledge.org/). The on-station and on-farm data on disease resistance, beta-carotene content, dry matter content, taste test and root weght from plots used to compute root yield, and biomass yield was the basis for official cultivar release in Uganda.
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Agricultural Sciences
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Agriculture; Alternaria blight resistance; Breeding; Dry matter content; Orange-fleshed; Sweetpotato; Sweetpotato virus disease resistance; Varieties; Vitamin A
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doi:10.21223/P3/CZV6P9
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Replication data for: A sweetpotato gene index established by de novo assembly of pyrosequencing and Sanger sequences and mining for gene-based microsatellite 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:'Here we present the de novo assembly of 454 sequencing reads from two normalized sweetpotato libraries, together with publically available (expressed sequence tag) ESTs, which resulted in a gene index for hexaploid sweetpotato. This gene index facilitates the access to sweetpotato gene sequences and has allowed for the design of gene-based microsatellite markers.' . 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 : {'Gene index; Pyrosequencing'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: A sweetpotato gene index established by de novo assembly of pyrosequencing and Sanger sequences and mining for gene-based microsatellite markers' Description:'Here we present the de novo assembly of 454 sequencing reads from two normalized sweetpotato libraries, together with publically available (expressed sequence tag) ESTs, which resulted in a gene index for hexaploid sweetpotato. This gene index facilitates the access to sweetpotato gene sequences and has allowed for the design of gene-based microsatellite markers.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Here we present the de novo assembly of 454 sequencing reads from two normalized sweetpotato libraries, together with publically available (expressed sequence tag) ESTs, which resulted in a gene index for hexaploid sweetpotato. This gene index facilitates the access to sweetpotato gene sequences and has allowed for the design of gene-based microsatellite markers.
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Agricultural Sciences
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Gene index; Pyrosequencing
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doi:10.18710/L7GO8T
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Replication data for: Primitive duplicate Hox clusters in the European eel's genome
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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 the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.' . 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 : {'European eel; genome; genome assembly'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: Primitive duplicate Hox clusters in the European eel's genome' Description:'This is the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.' Subject:'Agricultural Sciences; 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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This is the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.
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Agricultural Sciences
|
European eel; genome; genome assembly
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doi:10.18710/L7GO8T
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Replication data for: Primitive duplicate Hox clusters in the European eel's genome
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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 the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.' . 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 : {'European eel; genome; genome assembly'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: Primitive duplicate Hox clusters in the European eel's genome' Description:'This is the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.' Subject:'Agricultural Sciences; 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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This is the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.
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Medicine, Health and Life Sciences
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European eel; genome; genome assembly
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doi:10.18738/T8/SHYF4J
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Ex-ante Agricultural Policy/Environmental eXtender Data for the Adami Watershed
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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:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' . 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 : {'Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Adami Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.
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Agricultural Sciences
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Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation
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doi:10.18710/ND4CLL
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Replication Data for: Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars
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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 scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available.Abstract of the article:Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e.g., suckling calf, head butting, allogrooming) behaviors. Our goal was to assess pre-processing decisions including different running mean intervals (smoothing window of 1, 5, or 20 seconds), collar orientation and feature selection (orientation-dependent versus orientation-independent features). We identified the 10 most common behaviors exhibited by the cows. Models based only on orientation-independent features did not perform better than models based on orientation-dependent features, despite variation in how collars were attached (direction and tightness). Using a 20 seconds running mean and orientation-dependent features resulted in the highest model performance (model accuracy: 0.998, precision: 0.991, and recall: 0.989). We also used this model to add 11 rarer behaviors (each 98%). Our study suggests that the accelerometers in the Nofence collars are suitable to identify the most common behaviors of free-ranging cattle. The results of this study could be used in future research for understanding cattle habitat selection in rugged forest ranges, herd dynamics, or responses to stressors such as carnivores, as well as to improve cattle management and welfare. ' . 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 : {'Accelerometry; animal behavior; behavioral classification; free-ranging cattle; virtual fence collars'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars' Description:'This dataset includes the scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available.Abstract of the article:Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e.g., suckling calf, head butting, allogrooming) behaviors. Our goal was to assess pre-processing decisions including different running mean intervals (smoothing window of 1, 5, or 20 seconds), collar orientation and feature selection (orientation-dependent versus orientation-independent features). We identified the 10 most common behaviors exhibited by the cows. Models based only on orientation-independent features did not perform better than models based on orientation-dependent features, despite variation in how collars were attached (direction and tightness). Using a 20 seconds running mean and orientation-dependent features resulted in the highest model performance (model accuracy: 0.998, precision: 0.991, and recall: 0.989). We also used this model to add 11 rarer behaviors (each 98%). Our study suggests that the accelerometers in the Nofence collars are suitable to identify the most common behaviors of free-ranging cattle. The results of this study could be used in future research for understanding cattle habitat selection in rugged forest ranges, herd dynamics, or responses to stressors such as carnivores, as well as to improve cattle management and welfare. ' Subject:'Agricultural Sciences; Earth and Environmental 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 includes the scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available.Abstract of the article:Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e.g., suckling calf, head butting, allogrooming) behaviors. Our goal was to assess pre-processing decisions including different running mean intervals (smoothing window of 1, 5, or 20 seconds), collar orientation and feature selection (orientation-dependent versus orientation-independent features). We identified the 10 most common behaviors exhibited by the cows. Models based only on orientation-independent features did not perform better than models based on orientation-dependent features, despite variation in how collars were attached (direction and tightness). Using a 20 seconds running mean and orientation-dependent features resulted in the highest model performance (model accuracy: 0.998, precision: 0.991, and recall: 0.989). We also used this model to add 11 rarer behaviors (each 98%). Our study suggests that the accelerometers in the Nofence collars are suitable to identify the most common behaviors of free-ranging cattle. The results of this study could be used in future research for understanding cattle habitat selection in rugged forest ranges, herd dynamics, or responses to stressors such as carnivores, as well as to improve cattle management and welfare.
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Agricultural Sciences
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Accelerometry; animal behavior; behavioral classification; free-ranging cattle; virtual fence collars
|
doi:10.18710/ND4CLL
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Replication Data for: Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars
|
<|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 scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available.Abstract of the article:Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e.g., suckling calf, head butting, allogrooming) behaviors. Our goal was to assess pre-processing decisions including different running mean intervals (smoothing window of 1, 5, or 20 seconds), collar orientation and feature selection (orientation-dependent versus orientation-independent features). We identified the 10 most common behaviors exhibited by the cows. Models based only on orientation-independent features did not perform better than models based on orientation-dependent features, despite variation in how collars were attached (direction and tightness). Using a 20 seconds running mean and orientation-dependent features resulted in the highest model performance (model accuracy: 0.998, precision: 0.991, and recall: 0.989). We also used this model to add 11 rarer behaviors (each 98%). Our study suggests that the accelerometers in the Nofence collars are suitable to identify the most common behaviors of free-ranging cattle. The results of this study could be used in future research for understanding cattle habitat selection in rugged forest ranges, herd dynamics, or responses to stressors such as carnivores, as well as to improve cattle management and welfare. ' . 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 : {'Accelerometry; animal behavior; behavioral classification; free-ranging cattle; virtual fence collars'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars' Description:'This dataset includes the scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available.Abstract of the article:Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e.g., suckling calf, head butting, allogrooming) behaviors. Our goal was to assess pre-processing decisions including different running mean intervals (smoothing window of 1, 5, or 20 seconds), collar orientation and feature selection (orientation-dependent versus orientation-independent features). We identified the 10 most common behaviors exhibited by the cows. Models based only on orientation-independent features did not perform better than models based on orientation-dependent features, despite variation in how collars were attached (direction and tightness). Using a 20 seconds running mean and orientation-dependent features resulted in the highest model performance (model accuracy: 0.998, precision: 0.991, and recall: 0.989). We also used this model to add 11 rarer behaviors (each 98%). Our study suggests that the accelerometers in the Nofence collars are suitable to identify the most common behaviors of free-ranging cattle. The results of this study could be used in future research for understanding cattle habitat selection in rugged forest ranges, herd dynamics, or responses to stressors such as carnivores, as well as to improve cattle management and welfare. ' Subject:'Agricultural Sciences; Earth and Environmental Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
|
This dataset includes the scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available.Abstract of the article:Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring in extensive grazing systems. High resolution accelerometry can be used to infer the behavior of an animal. Previous behavioral classification studies using accelerometer data have focused on a few key behaviors and were mostly conducted in controlled situations. Here, we conducted behavioral observations of 38 beef cows (Hereford, Limousine, Charolais, Simmental/NRF/Hereford mix) free-ranging in rugged, forested areas, and fitted with a commercially available virtual fence collar (Nofence) containing a 10Hz tri-axial accelerometer. We used random forest models to calibrate data from the accelerometers on both commonly documented (e.g., feeding, resting, walking) and rarer (e.g., suckling calf, head butting, allogrooming) behaviors. Our goal was to assess pre-processing decisions including different running mean intervals (smoothing window of 1, 5, or 20 seconds), collar orientation and feature selection (orientation-dependent versus orientation-independent features). We identified the 10 most common behaviors exhibited by the cows. Models based only on orientation-independent features did not perform better than models based on orientation-dependent features, despite variation in how collars were attached (direction and tightness). Using a 20 seconds running mean and orientation-dependent features resulted in the highest model performance (model accuracy: 0.998, precision: 0.991, and recall: 0.989). We also used this model to add 11 rarer behaviors (each 98%). Our study suggests that the accelerometers in the Nofence collars are suitable to identify the most common behaviors of free-ranging cattle. The results of this study could be used in future research for understanding cattle habitat selection in rugged forest ranges, herd dynamics, or responses to stressors such as carnivores, as well as to improve cattle management and welfare.
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Earth and Environmental Sciences
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Accelerometry; animal behavior; behavioral classification; free-ranging cattle; virtual fence collars
|
doi:10.18710/NMTGUN
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Replication data for: Rapid de novo assembly of the European eel genome from nanopore sequencing reads
|
<|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 the genome assembly of the European eel as described in Scientific Reports 7, 7213 (2017). The file format is FASTA. Previously, this assembly was available at www.eelgenome.com. See the readme file for more information.' . 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 : {'European eel; genome; genome assembly; nanopore sequencing'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: Rapid de novo assembly of the European eel genome from nanopore sequencing reads' Description:'This is the genome assembly of the European eel as described in Scientific Reports 7, 7213 (2017). The file format is FASTA. Previously, this assembly was available at www.eelgenome.com. See the readme file for more information.' Subject:'Agricultural Sciences; 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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This is the genome assembly of the European eel as described in Scientific Reports 7, 7213 (2017). The file format is FASTA. Previously, this assembly was available at www.eelgenome.com. See the readme file for more information.
|
Agricultural Sciences
|
European eel; genome; genome assembly; nanopore sequencing
|
doi:10.18710/NMTGUN
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Replication data for: Rapid de novo assembly of the European eel genome from nanopore sequencing reads
|
<|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 the genome assembly of the European eel as described in Scientific Reports 7, 7213 (2017). The file format is FASTA. Previously, this assembly was available at www.eelgenome.com. See the readme file for more information.' . 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 : {'European eel; genome; genome assembly; nanopore sequencing'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication data for: Rapid de novo assembly of the European eel genome from nanopore sequencing reads' Description:'This is the genome assembly of the European eel as described in Scientific Reports 7, 7213 (2017). The file format is FASTA. Previously, this assembly was available at www.eelgenome.com. See the readme file for more information.' Subject:'Agricultural Sciences; 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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This is the genome assembly of the European eel as described in Scientific Reports 7, 7213 (2017). The file format is FASTA. Previously, this assembly was available at www.eelgenome.com. See the readme file for more information.
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Medicine, Health and Life Sciences
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European eel; genome; genome assembly; nanopore sequencing
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doi:10.18710/T9SXVF
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Metadata and Rcode for: Objective carcass grading for bovine animals based on carcass length
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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:'R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS ([email protected]).The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers.' . 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 : {'beef; bovine animals; carcass grading; conformation; EUROP; fat; prediction'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Metadata and Rcode for: Objective carcass grading for bovine animals based on carcass length' Description:'R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS ([email protected]).The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS ([email protected]).The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers.
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Agricultural Sciences
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beef; bovine animals; carcass grading; conformation; EUROP; fat; prediction
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doi:10.18710/TMSSJP
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Metadata and Rcode for: Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase traits
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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:'R-script and metadata accompanying data for 'Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase trait'. The aim of study is to evaluate and describe how changes in conformation, fat cover, weight and category contribute to change in multivariate yield. In addition, the effect of breed was studied, in order to estimate the degree to which breed accounts for variance in the multivariate yield as aconfounding factor. The files availably here is the metadata as a description of the rawdata, together with the R-code used for analysis.' . 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 : {'beef; breed; classification; EUROP; multi response; yield'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Metadata and Rcode for: Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase traits' Description:'R-script and metadata accompanying data for 'Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase trait'. The aim of study is to evaluate and describe how changes in conformation, fat cover, weight and category contribute to change in multivariate yield. In addition, the effect of breed was studied, in order to estimate the degree to which breed accounts for variance in the multivariate yield as aconfounding factor. The files availably here is the metadata as a description of the rawdata, together with the R-code used for analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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R-script and metadata accompanying data for 'Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase trait'. The aim of study is to evaluate and describe how changes in conformation, fat cover, weight and category contribute to change in multivariate yield. In addition, the effect of breed was studied, in order to estimate the degree to which breed accounts for variance in the multivariate yield as aconfounding factor. The files availably here is the metadata as a description of the rawdata, together with the R-code used for analysis.
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Agricultural Sciences
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beef; breed; classification; EUROP; multi response; yield
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doi:10.18738/T8/SU8RF3
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Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed
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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:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' . 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 : {'Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Mkindo Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.
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Agricultural Sciences
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Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation
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doi:10.18710/WF1AGU
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Replication Data for: A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin
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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:'Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.' . 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 : {'freezing tolerance; GWAS; linkage disequilibrium; red clover; Trifolium pratense'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin' Description:'Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.' Subject:'Agricultural Sciences; 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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Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.
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Agricultural Sciences
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freezing tolerance; GWAS; linkage disequilibrium; red clover; Trifolium pratense
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doi:10.18710/WF1AGU
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Replication Data for: A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin
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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:'Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.' . 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 : {'freezing tolerance; GWAS; linkage disequilibrium; red clover; Trifolium pratense'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Replication Data for: A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin' Description:'Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.' Subject:'Agricultural Sciences; 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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Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.
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Medicine, Health and Life Sciences
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freezing tolerance; GWAS; linkage disequilibrium; red clover; Trifolium pratense
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doi:10.21421/D2/DSYLHB
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DArTSeq data on within accessions diversity of sorghum germplasm
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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 data set contains DArTSeq data of sorghum landraces (31) and wild (5) accessions, and 15 individuals within each accession were genotyped. The main objectives of this experiment were (i) to investigate the extent of diversity within and among accessions using DArTSeq derived SNPs, and (ii) to assess the minimum sample (population) size required to capture 95% of the alleles with an expected probability of 95%, from the least frequent allele or the frequency of the rarest allele for each accession. Data is in the DArT format as provided by Diversity Arrays Technology (DArT), Australia. The scope of this study aims to benefit genebank curators in understanding the dynamics of the population within and among accessions and devising proper sampling strategies (sample size) while regeneration, for effective genebank management and their utilization in crop improvement.' . 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 : {'Genetic markers; SNP; Sorghum'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'DArTSeq data on within accessions diversity of sorghum germplasm' Description:'This data set contains DArTSeq data of sorghum landraces (31) and wild (5) accessions, and 15 individuals within each accession were genotyped. The main objectives of this experiment were (i) to investigate the extent of diversity within and among accessions using DArTSeq derived SNPs, and (ii) to assess the minimum sample (population) size required to capture 95% of the alleles with an expected probability of 95%, from the least frequent allele or the frequency of the rarest allele for each accession. Data is in the DArT format as provided by Diversity Arrays Technology (DArT), Australia. The scope of this study aims to benefit genebank curators in understanding the dynamics of the population within and among accessions and devising proper sampling strategies (sample size) while regeneration, for effective genebank management and their utilization in crop improvement.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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This data set contains DArTSeq data of sorghum landraces (31) and wild (5) accessions, and 15 individuals within each accession were genotyped. The main objectives of this experiment were (i) to investigate the extent of diversity within and among accessions using DArTSeq derived SNPs, and (ii) to assess the minimum sample (population) size required to capture 95% of the alleles with an expected probability of 95%, from the least frequent allele or the frequency of the rarest allele for each accession. Data is in the DArT format as provided by Diversity Arrays Technology (DArT), Australia. The scope of this study aims to benefit genebank curators in understanding the dynamics of the population within and among accessions and devising proper sampling strategies (sample size) while regeneration, for effective genebank management and their utilization in crop improvement.
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Agricultural Sciences
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Genetic markers; SNP; Sorghum
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doi:10.21421/D2/DVPP9L
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Phenotypic and micronutrients data of Sorghum RIL populations trial during 2013-14 postrainy season at ICRISAT, Patancheru
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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 low grain iron and zinc densities are well documented problems in food crops, affecting crop nutritional quality especially in cereals. Sorghum is a major source of energy and micronutrients for majority of population in Africa and central India. The database includes the investigation was carried out principally to study the variation for grain iron (Fe) and zinc (Zn) concentration, G × E interaction and association between these two traits and agronomic traits in RIL (Recombinant Inbred Line) population consisting of 334 individuals of generation developed using two contrasting parents 296 B and PVK 801 along with parents (296 B and PVK 801). The experiment was conducted during postrainy 2012-2013 season in International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) located at an altitude of 545 m above mean sea level with latitude of 17.53◦N and longitude of 78.27◦E to obtain best quality grain for assessing grain Fe and Zn concentration. The trial was conducted using Alpha Lattice design with three replications. Seeds of each entry were distributed equally to seed packets, representing number of rows of each plot size; and then randomized plot numbers were assigned to each plot seed packets and arranged according to planned field layout. Each entry was planted in two rows of 2 m length with a spacing of 75 cm between rows and 15 cm between plants in a row. The data on parameters like days to 50% flowering, plant height (cm), 100 seed weight (g), Fe (mg kg-1), Zn (mg kg-1), grain weight per meter square were recorded. The RIL population study showed good variability and high heritabilities for Fe and Zn and other traits studied indicating its suitability to map QTL for iron and zinc.Experiment location on Google Map ' . 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 : {'Grain yield; Hundred grain weight; Iron; Plant height; Replication number; Sorghum; Zinc'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Phenotypic and micronutrients data of Sorghum RIL populations trial during 2013-14 postrainy season at ICRISAT, Patancheru' Description:'The low grain iron and zinc densities are well documented problems in food crops, affecting crop nutritional quality especially in cereals. Sorghum is a major source of energy and micronutrients for majority of population in Africa and central India. The database includes the investigation was carried out principally to study the variation for grain iron (Fe) and zinc (Zn) concentration, G × E interaction and association between these two traits and agronomic traits in RIL (Recombinant Inbred Line) population consisting of 334 individuals of generation developed using two contrasting parents 296 B and PVK 801 along with parents (296 B and PVK 801). The experiment was conducted during postrainy 2012-2013 season in International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) located at an altitude of 545 m above mean sea level with latitude of 17.53◦N and longitude of 78.27◦E to obtain best quality grain for assessing grain Fe and Zn concentration. The trial was conducted using Alpha Lattice design with three replications. Seeds of each entry were distributed equally to seed packets, representing number of rows of each plot size; and then randomized plot numbers were assigned to each plot seed packets and arranged according to planned field layout. Each entry was planted in two rows of 2 m length with a spacing of 75 cm between rows and 15 cm between plants in a row. The data on parameters like days to 50% flowering, plant height (cm), 100 seed weight (g), Fe (mg kg-1), Zn (mg kg-1), grain weight per meter square were recorded. The RIL population study showed good variability and high heritabilities for Fe and Zn and other traits studied indicating its suitability to map QTL for iron and zinc.Experiment location on Google Map ' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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The low grain iron and zinc densities are well documented problems in food crops, affecting crop nutritional quality especially in cereals. Sorghum is a major source of energy and micronutrients for majority of population in Africa and central India. The database includes the investigation was carried out principally to study the variation for grain iron (Fe) and zinc (Zn) concentration, G × E interaction and association between these two traits and agronomic traits in RIL (Recombinant Inbred Line) population consisting of 334 individuals of generation developed using two contrasting parents 296 B and PVK 801 along with parents (296 B and PVK 801). The experiment was conducted during postrainy 2012-2013 season in International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) located at an altitude of 545 m above mean sea level with latitude of 17.53◦N and longitude of 78.27◦E to obtain best quality grain for assessing grain Fe and Zn concentration. The trial was conducted using Alpha Lattice design with three replications. Seeds of each entry were distributed equally to seed packets, representing number of rows of each plot size; and then randomized plot numbers were assigned to each plot seed packets and arranged according to planned field layout. Each entry was planted in two rows of 2 m length with a spacing of 75 cm between rows and 15 cm between plants in a row. The data on parameters like days to 50% flowering, plant height (cm), 100 seed weight (g), Fe (mg kg-1), Zn (mg kg-1), grain weight per meter square were recorded. The RIL population study showed good variability and high heritabilities for Fe and Zn and other traits studied indicating its suitability to map QTL for iron and zinc.Experiment location on Google Map
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Agricultural Sciences
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Grain yield; Hundred grain weight; Iron; Plant height; Replication number; Sorghum; Zinc
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doi:10.18738/T8/0H1MWK
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Ex-ante Agricultural Policy/Environmental eXtender Data for the Bihinaayili Watershed
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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:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' . 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 : {'Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for the Bihinaayili Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.
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Agricultural Sciences
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Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation
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doi:10.18738/T8/0IVKGG
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Survey of Stakeholder Organizations regarding potential use of gene drive for managing agricultural pests in Texas
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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 team conducted an online survey of individuals from stakeholder organizations associated with agriculture and pest management in Texas. Given that most people have not heard anything about gene drive, the survey included a short video that provided basic information about gene drive, how gene drive might be used to manage agricultural pests, and potential outcomes of gene drive use. Participants were asked questions that gauged their knowledge, perceptions, and values about the potential use of gene drive technology. The information gathered from this diverse set of stakeholders captured multiple viewpoints that can be evaluated to help inform research directions, policy decisions, and acceptable uses for gene drive.' . 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 : {'agricultural pests; gene drive; pest management; stakeholder survey'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Survey of Stakeholder Organizations regarding potential use of gene drive for managing agricultural pests in Texas' Description:'The team conducted an online survey of individuals from stakeholder organizations associated with agriculture and pest management in Texas. Given that most people have not heard anything about gene drive, the survey included a short video that provided basic information about gene drive, how gene drive might be used to manage agricultural pests, and potential outcomes of gene drive use. Participants were asked questions that gauged their knowledge, perceptions, and values about the potential use of gene drive technology. The information gathered from this diverse set of stakeholders captured multiple viewpoints that can be evaluated to help inform research directions, policy decisions, and acceptable uses for gene drive.' Subject:'Agricultural 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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The team conducted an online survey of individuals from stakeholder organizations associated with agriculture and pest management in Texas. Given that most people have not heard anything about gene drive, the survey included a short video that provided basic information about gene drive, how gene drive might be used to manage agricultural pests, and potential outcomes of gene drive use. Participants were asked questions that gauged their knowledge, perceptions, and values about the potential use of gene drive technology. The information gathered from this diverse set of stakeholders captured multiple viewpoints that can be evaluated to help inform research directions, policy decisions, and acceptable uses for gene drive.
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Agricultural Sciences
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agricultural pests; gene drive; pest management; stakeholder survey
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doi:10.18738/T8/0IVKGG
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Survey of Stakeholder Organizations regarding potential use of gene drive for managing agricultural pests in Texas
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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 team conducted an online survey of individuals from stakeholder organizations associated with agriculture and pest management in Texas. Given that most people have not heard anything about gene drive, the survey included a short video that provided basic information about gene drive, how gene drive might be used to manage agricultural pests, and potential outcomes of gene drive use. Participants were asked questions that gauged their knowledge, perceptions, and values about the potential use of gene drive technology. The information gathered from this diverse set of stakeholders captured multiple viewpoints that can be evaluated to help inform research directions, policy decisions, and acceptable uses for gene drive.' . 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 : {'agricultural pests; gene drive; pest management; stakeholder survey'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Survey of Stakeholder Organizations regarding potential use of gene drive for managing agricultural pests in Texas' Description:'The team conducted an online survey of individuals from stakeholder organizations associated with agriculture and pest management in Texas. Given that most people have not heard anything about gene drive, the survey included a short video that provided basic information about gene drive, how gene drive might be used to manage agricultural pests, and potential outcomes of gene drive use. Participants were asked questions that gauged their knowledge, perceptions, and values about the potential use of gene drive technology. The information gathered from this diverse set of stakeholders captured multiple viewpoints that can be evaluated to help inform research directions, policy decisions, and acceptable uses for gene drive.' Subject:'Agricultural 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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The team conducted an online survey of individuals from stakeholder organizations associated with agriculture and pest management in Texas. Given that most people have not heard anything about gene drive, the survey included a short video that provided basic information about gene drive, how gene drive might be used to manage agricultural pests, and potential outcomes of gene drive use. Participants were asked questions that gauged their knowledge, perceptions, and values about the potential use of gene drive technology. The information gathered from this diverse set of stakeholders captured multiple viewpoints that can be evaluated to help inform research directions, policy decisions, and acceptable uses for gene drive.
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Social Sciences
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agricultural pests; gene drive; pest management; stakeholder survey
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doi:10.18738/T8/0O7EQJ
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Ex-ante Farm Simulation Model 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:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' . 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 : {'Economic; FARMSIM; IDSS; Nutrition; Risk'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Farm Simulation Model (FARMSIM) data for Ex-ante analysis.
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Agricultural Sciences
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Economic; FARMSIM; IDSS; Nutrition; Risk
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doi:10.18738/T8/0WCHIX
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Ex-ante Farm Simulation Model 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:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' . 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 : {'Economic; FARMSIM; IDSS; Nutrition; Risk'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Farm Simulation Model (FARMSIM) data for Ex-ante analysis.
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Agricultural Sciences
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Economic; FARMSIM; IDSS; Nutrition; Risk
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doi:10.18738/T8/1HXBCV
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Ex-ante Farm Simulation Model Data for Dangesheta Watershed
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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:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' . 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 : {'Economic; FARMSIM; IDSS; Nutrition; Risk'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Ex-ante Farm Simulation Model Data for Dangesheta Watershed' Description:'Farm Simulation Model (FARMSIM) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Farm Simulation Model (FARMSIM) data for Ex-ante analysis.
|
Agricultural Sciences
|
Economic; FARMSIM; IDSS; Nutrition; Risk
|
doi:10.18738/T8/33NF9Y
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Ex-ante Soil and Water Assessment Tool Data for the Zanlerigu Watershed
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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:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' . 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 : {'Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Ex-ante Soil and Water Assessment Tool Data for the Zanlerigu Watershed' Description:'Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Soil and Water Assessment Tool (SWAT) data for Ex-ante analysis.
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Agricultural Sciences
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Agriculture; Environmental; Hydrology; IDSS; Irrigation; SWAT
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doi:10.18738/T8/3GPWGF
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Chemical And Sensory Data For GOX White Wine 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:'Chemical, sensory and statistical analyses of data for GOX white wine trial' . 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 : {'wine, enzyme, ph'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Chemical And Sensory Data For GOX White Wine project' Description:'Chemical, sensory and statistical analyses of data for GOX white wine trial' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Chemical, sensory and statistical analyses of data for GOX white wine trial
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Agricultural Sciences
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wine, enzyme, ph
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doi:10.18738/T8/4OJIGI
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Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed
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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:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' . 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 : {'Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation'} <|eot_id|>
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Here are Title, Description and Subject of a dataset. Title :'Ex-ante Agricultural Policy/Environmental eXtender Data for Robit Watershed' Description:'Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.' Subject:'Agricultural Sciences. Please return only a json list of at most 3 Keywords corresponding to the Title, Description and Subject:
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Agricultural Policy/Environmental eXtender (APEX) data for Ex-ante analysis.
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Agricultural Sciences
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Agriculture; APEX; Environmental; Hydrology; IDSS; Irrigation
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