cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4cfjpc
title: Occurrence Download

description: A dataset containing 2496906 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 (Leiothlypis celata)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 2496906 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008009-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7msff
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 581 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008031-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4su33
title: Occurrence Download

description: A dataset containing 3745 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eremogone fendleri"
 ]
}

 The dataset includes 3745 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008030-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybhh76
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAD0984"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008033-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15874408
title: oxyura_ferruginea_spades_01.fasta.gz
DOI: 10.5281/zenodo.15874409
title: oxyura_ferruginea_spades_01.fasta.gz
DOI: 10.15468/dl.t2s6u8
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "Geometry POLYGON((-30.74621 3.83962,117.74621 3.83962,117.74621 63.16038,-30.74621 63.16038,-30.74621 3.83962))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Potamon fluviatile",
 "Year 1970-2020"
 ]
}

 The dataset includes 76 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008035-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhpp5y
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 (Leiothlypis celata)",
 "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/0008034-250711103210423/datasets/export for details.
DOI: 10.15468/dl.wdftt4
title: Occurrence Download

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

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008036-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s977su
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fumaria capreolata",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008038-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7ey2q
title: Occurrence Download

description: A dataset containing 4561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypnum jutlandicum",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4561 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008037-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8q8agu
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 (Leiothlypis celata)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008039-250711103210423/datasets/export for details.
DOI: 10.15468/dl.xnn3tg
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008040-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvuhex
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fumaria officinalis",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008042-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4bha3
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 (Tyrannus tyrannus)",
 "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/0008044-250711103210423/datasets/export for details.
DOI: 10.15468/dl.z59nhq
title: Occurrence Download

description: A dataset containing 2285968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.9292 13.28911,-74.04538 13.70331,-74.21963 10.08521,-71.97364 9.07335,-70.36659 13.21372,-73.9292 13.28911))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2285968 records from 810 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008019-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eej9fg
title: Occurrence Download

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

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008046-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxkrgh
title: Occurrence Download

description: A dataset containing 664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artocarpus heterophyllus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 664 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008047-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvzsdg
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 (Tyrannus tyrannus)",
 "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/0008048-250711103210423/datasets/export for details.
DOI: 10.15468/dl.6ejdk2
title: Occurrence Download

description: A dataset containing 6142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luzula sylvatica",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6142 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008049-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6r5b8
title: Occurrence Download

description: A dataset containing 1207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation)",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Loligo forbesii",
 "Year 2000-2025"
 ]
}

 The dataset includes 1207 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008050-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a97z27
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008051-250711103210423/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/12459834
title: Daftar Pengadilan Indonesia
DOI: 10.5281/zenodo.15874426
title: Moral Suspension Zones: Informal Institutions and Ethical Risk in Alcohol-Oriented Work Cultures

description: Here’s a README.md file you can include in your Zenodo record to help users understand how to use your uploaded files in Google Colab:



README: Moral Suspension Zones: Informal Institutions and Ethical Risk in Alcohol-Oriented Work Cultures

This repository contains the dataset and scripts used in the analysis of workplace alcohol norms and ethical risk perceptions. It is designed for use in Google Colab to ensure accessibility for researchers without local Python environments.

📂 Files Included





Drink.ipynb — Main analysis notebook (Google Colab–ready).




drink.py — Python script containing helper functions for data cleaning and analysis.




GSS.xlsx — Source data file (subset of the General Social Survey, cleaned and pre-formatted).



▶️ Getting Started in Google Colab

1. Open Google Colab

Visit: https://colab.research.google.com

2. Upload Files

Click the folder icon on the left sidebar → click the Upload icon → upload all three files:





Drink.ipynb




drink.py




GSS.xlsx



3. Mount Working Directory

Ensure you are in the right working directory in Colab. Uploaded files will appear in /content.

You can list the files to confirm:

!ls


4. Run Python Script from Notebook

From within the notebook, you can run the Python script using a Colab-friendly bash command:

!python drink.py


This executes any preprocessing or functions stored in drink.py.

5. Run Notebook

Now open Drink.ipynb, step through the cells, and perform your analysis.



💡 Notes





The dependent variable analyzed is drinkday1_clean, a numeric ordinal variable coded as follows:0 = Never, 1 = Monthly or less, 2 = Several times a month, 3 = Several times a week, 4 = Daily.




The script is fully executable in a free Google Colab environment — no installation is required beyond the standard libraries (e.g., pandas, statsmodels).




Designed for reproducibility and teaching purposes in applied social science research.





📄 License

This dataset and code are released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).You are free to use, share, and adapt the materials with appropriate credit.



Let me know if you’d like a DOI placeholder added before publishing.
DOI: 10.5281/zenodo.15874427
title: Moral Suspension Zones: Informal Institutions and Ethical Risk in Alcohol-Oriented Work Cultures

description: Here’s a README.md file you can include in your Zenodo record to help users understand how to use your uploaded files in Google Colab:



README: Moral Suspension Zones: Informal Institutions and Ethical Risk in Alcohol-Oriented Work Cultures

This repository contains the dataset and scripts used in the analysis of workplace alcohol norms and ethical risk perceptions. It is designed for use in Google Colab to ensure accessibility for researchers without local Python environments.

📂 Files Included





Drink.ipynb — Main analysis notebook (Google Colab–ready).




drink.py — Python script containing helper functions for data cleaning and analysis.




GSS.xlsx — Source data file (subset of the General Social Survey, cleaned and pre-formatted).



▶️ Getting Started in Google Colab

1. Open Google Colab

Visit: https://colab.research.google.com

2. Upload Files

Click the folder icon on the left sidebar → click the Upload icon → upload all three files:





Drink.ipynb




drink.py




GSS.xlsx



3. Mount Working Directory

Ensure you are in the right working directory in Colab. Uploaded files will appear in /content.

You can list the files to confirm:

!ls


4. Run Python Script from Notebook

From within the notebook, you can run the Python script using a Colab-friendly bash command:

!python drink.py


This executes any preprocessing or functions stored in drink.py.

5. Run Notebook

Now open Drink.ipynb, step through the cells, and perform your analysis.



💡 Notes





The dependent variable analyzed is drinkday1_clean, a numeric ordinal variable coded as follows:0 = Never, 1 = Monthly or less, 2 = Several times a month, 3 = Several times a week, 4 = Daily.




The script is fully executable in a free Google Colab environment — no installation is required beyond the standard libraries (e.g., pandas, statsmodels).




Designed for reproducibility and teaching purposes in applied social science research.





📄 License

This dataset and code are released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).You are free to use, share, and adapt the materials with appropriate credit.



Let me know if you’d like a DOI placeholder added before publishing.
DOI: 10.15468/dl.x8ftvk
title: Occurrence Download

description: A dataset containing 16296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea arabica"
 ]
}

 The dataset includes 16296 records from 554 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008052-250711103210423/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.29528642
title: <b>MetaAnalysisOnline.com – rapid meta-analysis and visualization</b>

description: <b>MetaAnalysisOnline.com </b>is a web-based tool that enables researchers to perform fast and transparent meta-analyses using clinical and epidemiological data. It supports multiple input formats (e.g., HR/OR/RR with confidence intervals, proportions, means with SDs) and allows subgroup analysis with interactive editing.<b>Key features:</b><br>• Automatic generation of forest plots, funnel plots, and Z-score plots<br>• Supports diverse input types including effect sizes, incidence rates, and proportions<br>• Real-time result tables and publication-ready visual outputsBacked by ELIXIR Hungary, this tool streamlines statistical synthesis and enhances reproducibility in evidence-based research.
DOI: 10.6084/m9.figshare.29528642.v1
title: <b>MetaAnalysisOnline.com – rapid meta-analysis and visualization</b>

description: <b>MetaAnalysisOnline.com </b>is a web-based tool that enables researchers to perform fast and transparent meta-analyses using clinical and epidemiological data. It supports multiple input formats (e.g., HR/OR/RR with confidence intervals, proportions, means with SDs) and allows subgroup analysis with interactive editing.<b>Key features:</b><br>• Automatic generation of forest plots, funnel plots, and Z-score plots<br>• Supports diverse input types including effect sizes, incidence rates, and proportions<br>• Real-time result tables and publication-ready visual outputsBacked by ELIXIR Hungary, this tool streamlines statistical synthesis and enhances reproducibility in evidence-based research.
DOI: 10.15468/dl.84dt8a
title: Occurrence Download

description: A dataset containing 118858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Elymus caninus"
 ]
}

 The dataset includes 118858 records from 883 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060197-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kz4p8y
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus taeda",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060327-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9yxzv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus taeda",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060328-250717081556266/datasets/export for details.
DOI: 10.60629/wfye-ht63
title: Data set for the article Salsa and the (Eternal) City. Rethinking the pleasure periphery

description: <p>The data presented here was generated during fieldwork conducted as part of the research project &#34;Pomiędzy prekaryjnością a prestiżem. Praca migrantów w branży tanecznej w dobie kryzysu.&#34;, number 2021/40/C/HS3/00086, and underwent significant processing before publication in Journal of Ethnic and Migration Studies 50(20).</p>
DOI: 10.15468/dl.28wu62
title: Occurrence Download

description: A dataset containing 10194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marmota marmota",
 "MediaType is Image"
 ]
}

 The dataset includes 10194 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060331-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.