cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15344912
title: Supplementary dataset for "Global multi-model trends of unsustainable irrigation water consumption under 21st century climate change scenarios"

description: The folder contains the output data relative to the paper:Citrini, A., Sangiorgio, M., and Rosa, L. Global multi-model trends of unsustainable irrigation water consumption under 21st century climate change scenarios Contact: lrosa@carnegiescience.edu  ##List of files - Irrigation_regions.zip: Geospatial extent of irrigation regions (WGS 1984, ESRI shapefile)       ## Shapefile Structure       The shapefile includes the following files:      - `Irrigation_regions.shp`: Geometry of the objects.      - `Irrigation_regions.shx`: Geometry index.      - `Irrigation_regions.dbf`: Database of attributes associated with the geometry.      - `Irrigation_regions.prj`: Projection file.      - `Irrigation_regions.cpg`: Character encoding file.       ## Shapefile Attributes       The attributes present in the `.dbf` file are described below:       - **ID**: [Long] - ID Irrigation region      - **Name**: [Text] - Name Irrigation region      - **Country1**: [Text] - Main Country covered by the irrigation region (according to the covered area) (ISO3166-1 alpha-3)      - **Country2**: [Text] - Other Countries covered by the irrigation region (ISO3166-1 alpha-3)      - **Continent**: [Text] - Continent covered by the irrigated region (AF: Africa, AS: Asia, AU: Oceania, EU: Europe, NA: North America, SA: South America)       - **Area_sqkm**: [Double] - Geodesic area of Irrigation region in km2 - UIWC_Irrigation_regions.xlsx: Multi-model results of Unsustainable Irrigation Water Consumption (UIWC) volumes (km3/year) aggregated by irrigation region for each decade of 21st century under SSP1-2.6 and SSP5-8.5 scenarios - Reliance_Irrigation_regions.xlsx: Multi-model results of Reliance on Unsustainable Irrigation Water Consumption (%) aggregated by irrigation region for each decade of 21st century under SSP1-2.6 and SSP5-8.5 scenarios - Irr_cons_Irrigation_region.xlsx: Multi-model results of Irrigation Water Consumption volumes (km3/year) aggregated by irrigation region for each decade of 21st century under SSP1-2.6 and SSP5-8.5 scenarios - Share_Irr_tot_cons_Irrigation_regions.xlsx: Multi-model results of Share of Irrigation Water Consumption over Total Water Consumption (%) aggregated by irrigation region for each decade of 21st century under SSP1-2.6 and SSP5-8.5 scenarios
DOI: 10.5281/zenodo.15344913
title: Supplementary dataset for "Global multi-model trends of unsustainable irrigation water consumption under 21st century climate change scenarios"

description: The folder contains the output data relative to the paper:Citrini, A., Sangiorgio, M., and Rosa, L. Global multi-model trends of unsustainable irrigation water consumption under 21st century climate change scenarios Contact: lrosa@carnegiescience.edu  ##List of files - Irrigation_regions.zip: Geospatial extent of irrigation regions (WGS 1984, ESRI shapefile)       ## Shapefile Structure       The shapefile includes the following files:      - `Irrigation_regions.shp`: Geometry of the objects.      - `Irrigation_regions.shx`: Geometry index.      - `Irrigation_regions.dbf`: Database of attributes associated with the geometry.      - `Irrigation_regions.prj`: Projection file.      - `Irrigation_regions.cpg`: Character encoding file.       ## Shapefile Attributes       The attributes present in the `.dbf` file are described below:       - **ID**: [Long] - ID Irrigation region      - **Name**: [Text] - Name Irrigation region      - **Country1**: [Text] - Main Country covered by the irrigation region (according to the covered area) (ISO3166-1 alpha-3)      - **Country2**: [Text] - Other Countries covered by the irrigation region (ISO3166-1 alpha-3)      - **Continent**: [Text] - Continent covered by the irrigated region (AF: Africa, AS: Asia, AU: Oceania, EU: Europe, NA: North America, SA: South America)       - **Area_sqkm**: [Double] - Geodesic area of Irrigation region in km2 - UIWC_Irrigation_regions.xlsx: Multi-model results of Unsustainable Irrigation Water Consumption (UIWC) volumes (km3/year) aggregated by irrigation region for each decade of 21st century under SSP1-2.6 and SSP5-8.5 scenarios - Reliance_Irrigation_regions.xlsx: Multi-model results of Reliance on Unsustainable Irrigation Water Consumption (%) aggregated by irrigation region for each decade of 21st century under SSP1-2.6 and SSP5-8.5 scenarios - Irr_cons_Irrigation_region.xlsx: Multi-model results of Irrigation Water Consumption volumes (km3/year) aggregated by irrigation region for each decade of 21st century under SSP1-2.6 and SSP5-8.5 scenarios - Share_Irr_tot_cons_Irrigation_regions.xlsx: Multi-model results of Share of Irrigation Water Consumption over Total Water Consumption (%) aggregated by irrigation region for each decade of 21st century under SSP1-2.6 and SSP5-8.5 scenarios
DOI: 10.7910/dvn/n9ipux
title: A87_1212.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/b34ac90d-f5ef-e67b-60f3-2c711494485a'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/b34ac90d-f5ef-e67b-60f3-2c711494485a
DOI: 10.7910/dvn/8t8yxr
title: Replication Data for: SHIFAA-Arabic-Medical-Dataset

description: The dataset encompasses 23 distinct categories, over 115k detailedquestions and answers, and up to 800 diagnoses, offering a robustfoundation for accurate text categorization and the development ofprecise medical systems.
DOI: 10.7910/dvn/8rh7d2
title: Replication Data for: How alt-tech users evaluate search engines: Cause-advancing audits

description: This repository contains the data and code used in "How alt-tech users evaluate search engines: Cause-advancing audits". Use https://github.com/EvanUp/Cause-Advancing-Audits for better-formatted version.
DOI: 10.7910/dvn/ngg59z
title: Understanding Precipitate Growth Kinetics at Ultra High Hydrostatic Pressures

description: In this work, we have studied the precipitate growth behavior of a metal matrix when
subjected to hydrostatic pressure. We utilized Zenner-Frank phase field kinetics with integrated free energy density functional based on volumetric strain energy. We studied the precipitate growth up to 2 GPa under varying bulk modulus of the precipitate phase. We observed that subjecting to hydrostatic pressure influences the growth kinetics by reducing the precipitate growth under time evolution. In addition, the bulk modulus of the precipitate has shown an abnormality in the growth behavior compared to general observations under hydrostatic pressure. This work contributes to the smart tailoring of novel materials to reduce detrimental impacts on holistic material properties, used in large hydrostatic pressure applications.
DOI: 10.7910/dvn/8tnctc
title: Replication Data for Day-to-day Variability of Field-Aligned Irregularities Occurrence in Nighttime F-region Ionosphere over the Equatorial Atmosphere Radar: A Combinatorics Analysis

description: This dataset consists of an ASCII file that contains the tabulated states of field-aligned irregularities (FAI) occurrence for each calendar date in 2011-2013, and a PDF file with summary tables listing the prevalence of various day-to-day combinatorics patterns obtained from the analysis. The FAI occurrence tabulation was based on examination of signal-to-noise ratio (SNR) values of coherent backscattered power observations by the Equatorial Atmosphere Radar (EAR) at Kototabang, West Sumatra, Indonesia. For each date, it is either a confirmed FAI occurrence (+), or a confirmed FAI no-occurrence (-), or an unknown (?) when we have missing/incomplete EAR observation data. The summary tables in the PDF file show full list of statistical likelihood values of each combinatorics pattern (from 1-day to 6-day patterns) for the two equinoxes and the two solstices.
DOI: 10.15468/dl.k69xgr
title: Occurrence Download

description: A dataset containing 11221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Burseraceae"
 ]
}

 The dataset includes 11221 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010937-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kad5wp
title: Occurrence Download

description: A dataset containing 805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tragopan melanocephalus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 805 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031470-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16784091
title: SARS-CoV-2 Infektionen in Deutschland

description: Der vorliegende Datansatz enthält umfassende Informationen zu SARS-CoV-2-Infektionen in Deutschland, die gemäß dem Infektionsschutzgesetze (IfSG) von den Gesundheitsämtern an das Robert Koch-Institut (RKI) gemeldet wurden. Die Daten umfassen Informationen zur Anzahl der bestätigten Fälle, Todesfälle und Genesungen, aus denen sich weitere Kennzahlen im Zusammenhang mit der COVID-19-Pandemie ableiten lassen. Der Datensatz wird täglich aktualisiert und enthält detaillierte Informationen auf Landkreisebene, die nach verschiedenen Altersgruppen aufgeschlüsselt sind. Die Bereitstellung des Datensatzes soll dazu beitragen, das Verständnis der COVID-19-Pandemie in Deutschland zu verbessern und die Berichterstattung, Forschung und Analyse in diesem Bereich zu unterstützen.
DOI: 10.15468/dl.mxwne6
title: Occurrence Download

description: A dataset containing 2393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tragopan satyra)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2393 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031471-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjthhd
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 (Tropidurus etheridgei)",
 "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/0031475-250802193616735/datasets/export for details.
DOI: 10.15468/dl.qddrd9
title: Occurrence Download

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

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031472-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc8ygy
title: Occurrence Download

description: A dataset containing 177 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 (Tropidurus etheridgei)",
 "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 177 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031473-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d76rba
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 (Tropidurus etheridgei)",
 "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/0031474-250802193616735/datasets/export for details.
DOI: 10.15468/dl.zezx8b
title: Occurrence Download

description: A dataset containing 4846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tregellasia capito)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 4846 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031480-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuyn92
title: Occurrence Download

description: A dataset containing 1267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tragopan temminckii)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1267 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031479-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vsb2t
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 (Tropidurus etheridgei)",
 "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/0031481-250802193616735/datasets/export for details.
DOI: 10.15468/dl.4rwn6r
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031482-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3qaj4
title: Occurrence Download

description: A dataset containing 64941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Viet Nam",
 "PublishingOrg is 2cd829bb-b713-433d-99cf-64bef11e5b3e"
 ]
}

 The dataset includes 64941 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031463-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3u2az
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 (Tropidurus etheridgei)",
 "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/0031483-250802193616735/datasets/export for details.
DOI: 10.15468/dl.hp3mqm
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 (Tropidurus etheridgei)",
 "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/0031485-250802193616735/datasets/export for details.
DOI: 10.15468/dl.5z5av8
title: Occurrence Download

description: A dataset containing 526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tregellasia leucops)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 526 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031486-250802193616735/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.29874725
title: Test data

description: for test
DOI: 10.6084/m9.figshare.29874725.v1
title: Test data

description: for test
DOI: 10.15468/dl.2gtc3n
title: Occurrence Download

description: A dataset containing 28782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Treron affinis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 28782 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031487-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4t2q7
title: Occurrence Download

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

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031488-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.1480384
title: A Mixed Black and Whitelist Approach for Wildlife Trade Regulation in China: Biodiversity Conservation is Made of shades of grey

description: The Kunming-Montreal Global Biodiversity Framework requires effective actions to bend the curve of biodiversity loss by 2030. Wildlife trade, a direct drive of biodiversity decline, calls for more effective regulations to both protect wildlife populations in the wild and facilitate sustainable use of wildlife resources to meet human needs. This call has become particularly urgent in light of the COVID-19 pandemic. In 2021, China’s List of State Key Protected Wild Animals, a list of fauna under the strictest protection by national legislation, has been updated in the year 2021, 32 years after its first release, increasing its coverage (from the original 13%) an 11% of species across taxa. Combined with the updated List of State Protected Terrestrial Wild Animals which covers species with lower protection priority, these two national lists already cover 77% terrestrial vertebrate species of China. Such a blacklist approach, placing threatened species under a list of legal protection, is a common practice globally in species conservation. We discussed pros and cons of this dominant strategy and further explored the potential integration with a whitelist approach, listing all wildlife and only permitting regulated uses of certain species. We propose a mixed approach combining black and whitelists at different administration levels which could perhaps be first adopted in China. This is mainly due to the fact that in addition to illegal harvesting from the wild, traded wildlife in China are mostly from captive breeding and related laundering of wild-caught animals.