cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16181603
title: Off the Books, Off the Clock: Alcohol, Ethics, and the Informal Institutions of Power

description: Off the Books, Off the Clock: Alcohol, Ethics, and the Informal Institutions of Power

DOI:10.5281/zenodo.16181604

Publication Date:2025-07-20

Creators:Anon, Anon Annotator

Description:This dataset supports the article “Off the Books, Off the Clock: Alcohol, Ethics, and the Informal Institutions of Power,” which examines how workplace drinking rituals function as informal governance structures, shaping ethical norms and power dynamics. Drawing on data from the 2021 General Social Survey (GSS), this research integrates quantitative regression models with institutional theory to explore how demographic and cultural factors predict alcohol use—and how such use mediates access to informal authority, camaraderie, and moral disengagement in professional contexts.

Included Files:





Drink.ipynb: Python notebook used for data cleaning, transformation, and OLS regression analysis.




GSS.xlsx: Extracted and cleaned subset of the 2021 General Social Survey (GSS) relevant to alcohol use, religion, gender, income, and education.




✅ STEP 1: Open Google Colab





Go to https://colab.research.google.com.




Log in with your Google account if you haven’t already.





✅ STEP 2: Upload the Notebook File





Click on the “File” menu at the top left.




Select “Upload notebook…”




In the upload dialog:





Click “Choose File”.




Select the file Drink.ipynb from your computer (download from here first if needed).





Colab will automatically open the notebook once uploaded.



✅ STEP 3: Upload the Dataset (GSS.xlsx)

In your notebook:





Add a new code cell at the top (if not already present).




Paste the following code to upload GSS.xlsx:





python





CopiarEditar



from google.colab import files
uploaded = files.upload()







Run the cell (Shift + Enter).




A file upload box will appear—select GSS.xlsx.



Once uploaded, the file is available in your Colab session.



✅ STEP 4: Run the Notebook





Simply run each cell in the notebook using Shift + Enter.




Make sure the code references the file exactly as GSS.xlsx.





If your code has a different filename, update it accordingly:







python





CopiarEditar



import pandas as pd

df = pd.read_excel('GSS.xlsx')





✅ Optional: Mount Google Drive (to save or load from Drive)



python





CopiarEditar



from google.colab import drive
drive.mount('/content/drive')



This allows you to load or save files directly from your Google Drive.

 



Licenses:Creative Commons Attribution 4.0 International (CC BY 4.0)

Copyright:© 2025 The Authors.

Keywords:alcohol, ethics, informal institutions, workplace rituals, religion, gender, regression, General Social Survey, moral disengagement

Languages:English

Version:1.0

Publisher:Zenodo

Funding:Not externally funded.
DOI: 10.5281/zenodo.16181604
title: Off the Books, Off the Clock: Alcohol, Ethics, and the Informal Institutions of Power

description: Off the Books, Off the Clock: Alcohol, Ethics, and the Informal Institutions of Power

DOI:10.5281/zenodo.16181604

Publication Date:2025-07-20

Creators:Anon, Anon Annotator

Description:This dataset supports the article “Off the Books, Off the Clock: Alcohol, Ethics, and the Informal Institutions of Power,” which examines how workplace drinking rituals function as informal governance structures, shaping ethical norms and power dynamics. Drawing on data from the 2021 General Social Survey (GSS), this research integrates quantitative regression models with institutional theory to explore how demographic and cultural factors predict alcohol use—and how such use mediates access to informal authority, camaraderie, and moral disengagement in professional contexts.

Included Files:





Drink.ipynb: Python notebook used for data cleaning, transformation, and OLS regression analysis.




GSS.xlsx: Extracted and cleaned subset of the 2021 General Social Survey (GSS) relevant to alcohol use, religion, gender, income, and education.




✅ STEP 1: Open Google Colab





Go to https://colab.research.google.com.




Log in with your Google account if you haven’t already.





✅ STEP 2: Upload the Notebook File





Click on the “File” menu at the top left.




Select “Upload notebook…”




In the upload dialog:





Click “Choose File”.




Select the file Drink.ipynb from your computer (download from here first if needed).





Colab will automatically open the notebook once uploaded.



✅ STEP 3: Upload the Dataset (GSS.xlsx)

In your notebook:





Add a new code cell at the top (if not already present).




Paste the following code to upload GSS.xlsx:





python





CopiarEditar



from google.colab import files
uploaded = files.upload()







Run the cell (Shift + Enter).




A file upload box will appear—select GSS.xlsx.



Once uploaded, the file is available in your Colab session.



✅ STEP 4: Run the Notebook





Simply run each cell in the notebook using Shift + Enter.




Make sure the code references the file exactly as GSS.xlsx.





If your code has a different filename, update it accordingly:







python





CopiarEditar



import pandas as pd

df = pd.read_excel('GSS.xlsx')





✅ Optional: Mount Google Drive (to save or load from Drive)



python





CopiarEditar



from google.colab import drive
drive.mount('/content/drive')



This allows you to load or save files directly from your Google Drive.

 



Licenses:Creative Commons Attribution 4.0 International (CC BY 4.0)

Copyright:© 2025 The Authors.

Keywords:alcohol, ethics, informal institutions, workplace rituals, religion, gender, regression, General Social Survey, moral disengagement

Languages:English

Version:1.0

Publisher:Zenodo

Funding:Not externally funded.
DOI: 10.15468/dl.bsyh2j
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza aureola)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015341-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/0qms-ts60
title: ICARUS Chamber Experiment: Ziemann_20171111_pyrocatechol/Dinitrogen pentoxide_Nitrate radical_Dioctyl Sebacate_Catechol + NO3_2

description: Goals: Determine the SOA yield, products and molar yield of SOA products for the reaction of catechol with NO3.Summary: Reaction occurred in immediately, was conducted in the dark, reacting 124 ppb of catechol. SOA mass yield was 138%, 4-nitrocatechol yield was 86%.Organization: Ziemann Lab Affiliation: University of Colorado, Boulder, Boulder, CO, USA Chamber: Janet (Chamber 1)Experiment Category: Gas phase chemical reaction, Aerosol formation Oxidant: Nitrate radical Reactants: pyrocatechol, Dinitrogen pentoxide Reaction Type: Dark oxidation Relative Humidity: 1 Temperature: 23 Seed Name: Dioctyl Sebacate Pressure: 630 Torr
DOI: 10.15468/dl.esabfh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza aureola)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015340-250717081556266/datasets/export for details.
DOI: 10.15468/dl.q8mckh
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "Country is Cameroon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015344-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16181841
title: 19-when-the-sky-forgot-to-fall-amharic.jpg
DOI: 10.5281/zenodo.16181842
title: 19-when-the-sky-forgot-to-fall-amharic.jpg
DOI: 10.15468/dl.e9q7vd
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pomacea canaliculata",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 362 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015345-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufqcew
title: Occurrence Download

description: A dataset containing 5446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza aureola)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 5446 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015342-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw2raj
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "Country is Congo",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015346-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcvkca
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carassius auratus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015347-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmczzc
title: Occurrence Download

description: A dataset containing 80161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 80161 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015314-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/tg3d-e655
title: ICARUS Chamber Experiment: Caltech Atmospheric Chamber_20170617_No Reactant_None_No Seed_170617_05_c234

description: Goals: Investigate vapor-wall loss rates of alkanes of C12, C13, C14, and an alkene C14H28 at RH = 5%Summary: Obtained temporal profiles of four compounds with GC-FIDOrganization: Caltech Atmospheric Chamber Lab Affiliation: California Institute of Technology, Pasadena, CA Chamber: Near Bag 2014Experiment Category: Volatility and partitioning Oxidant: None Reaction Type: Non-chemical Relative Humidity: 5 Temperature: 25 Pressure: 750 Torr
DOI: 10.15468/dl.kb2ndp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza aureola)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015351-250717081556266/datasets/export for details.
DOI: 10.15468/dl.aeaepd
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chela phulo"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015350-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxagke
title: Occurrence Download

description: A dataset containing 3517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza aureola)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 3517 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015352-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vfbvm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza aureola)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015356-250717081556266/datasets/export for details.
DOI: 10.15468/dl.dk9az3
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015355-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12520234
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.vakbwy
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carassius auratus",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015357-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvf6xq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015358-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25884766
title: Cartographic Heritage Datasets of Java, Indonesia

description: The datasets of curated cartographic archives are used for the analysis in this research. The article can be accessed here
DOI: 10.6084/m9.figshare.25884766.v1
title: Cartographic Heritage Datasets of Java, Indonesia

description: The datasets of curated cartographic archives are used for the analysis in this research.
DOI: 10.6084/m9.figshare.25884766.v2
title: Cartographic Heritage Datasets of Java, Indonesia

description: The datasets of curated cartographic archives are used for the analysis in this research. The article can be accessed here
DOI: 10.34965/i60405
title: 20245065
DOI: 10.15468/dl.hm9km6
title: Occurrence Download

description: A dataset containing 905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carassius auratus",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 905 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015359-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25y8h8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADF0844"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015361-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16181849
title: 20-the-midnight-letter-amharic.jpg
DOI: 10.5281/zenodo.16181850
title: 20-the-midnight-letter-amharic.jpg
DOI: 10.15468/dl.apgf96
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Loxodonta cyclotis)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015362-250717081556266/datasets/export for details.
DOI: 10.15468/dl.z5bgh4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Loxodonta cyclotis)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015363-250717081556266/datasets/export for details.
DOI: 10.15468/dl.4djbe9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Loxodonta cyclotis)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015364-250717081556266/datasets/export for details.