cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wff8hs
title: Occurrence Download

description: A dataset containing 44155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "License is CC-BY-NC 4.0",
 "TaxonKey is Caprimulgus europaeus Linnaeus, 1758"
 ]
}

 The dataset includes 44155 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003467-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tprsm9
title: Occurrence Download

description: A dataset containing 6024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bidens pilosa L.",
 "Year 2001-2024"
 ]
}

 The dataset includes 6024 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003468-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e206541
title: Towards a FAST demography

description: This folder contains the replication package for the manuscript "FAST Demography"
DOI: 10.15468/dl.npkj4q
title: Occurrence Download

description: A dataset containing 965 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Andira cujabensis Benth.)"
 ]
}

 The dataset includes 965 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003469-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vswzk7
title: Occurrence Download

description: A dataset containing 6264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is France",
 "License is CC-BY-NC 4.0",
 "TaxonKey is Phoenicopterus roseus Pallas, 1811"
 ]
}

 The dataset includes 6264 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003470-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjx2tg
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylotrechus chinensis (Chevrolat, 1852)"
 ]
}

 The dataset includes 511 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003471-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tudgv
title: Occurrence Download

description: A dataset containing 2396 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cenostigma macrophyllum Tul., Cenostigma angustifolium Tul., Cenostigma gardnerianum Tul.)"
 ]
}

 The dataset includes 2396 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003472-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.389rhq
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylotrechus chinensis (Chevrolat, 1852)"
 ]
}

 The dataset includes 511 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003473-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgygj5
title: Occurrence Download

description: A dataset containing 1495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bidens pilosa L.",
 "Year 1906-2000"
 ]
}

 The dataset includes 1495 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003475-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbnd6w
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.26241 49.33264,7.02890 49.33264,7.02890 50.20623,5.26241 50.20623,5.26241 49.33264))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Geranium sylvaticum L."
 ]
}

 The dataset includes 442 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003476-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2c9g6w
title: Occurrence Download

description: A dataset containing 1161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is one of (France, Germany)",
 "License is CC-BY-NC 4.0",
 "TaxonKey is Podiceps grisegena (Boddaert, 1783)"
 ]
}

 The dataset includes 1161 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003477-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uj4u6z
title: Occurrence Download

description: A dataset containing 991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.17372 49.41286,7.12497 49.41286,7.12497 50.19303,5.17372 50.19303,5.17372 49.41286))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Veronica serpyllifolia L."
 ]
}

 The dataset includes 991 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003479-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zd45sy
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylotrechus chinensis (Chevrolat, 1852)"
 ]
}

 The dataset includes 511 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003478-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztyudu
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylotrechus chinensis (Chevrolat, 1852)"
 ]
}

 The dataset includes 511 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003480-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12579017
title: Data and analysis script for "The (non)effect of personalization in climate texts on credibility of climate scientists: A case study on sustainable travel"

description: Dataset and analysis script for the article "The (non)effect of personalization in climate texts on credibility of climate scientists: A case study on sustainable travel", under review at Geoscience Communication (https://doi.org/10.5194/egusphere-2024-543)
DOI: 10.15468/dl.rmbbga
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspidogyne caraguatatubensis M.R.Miranda, Engels & E.C.Smidt"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003482-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69b4d8
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylotrechus chinensis (Chevrolat, 1852)"
 ]
}

 The dataset includes 511 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003481-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.guyppd
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Luxembourg",
 "TaxonKey is Geranium sylvaticum L."
 ]
}

 The dataset includes 197 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003483-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7q944n
title: Occurrence Download

description: A dataset containing 1633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris canutus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1633 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003484-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nx4mbe
title: Occurrence Download

description: A dataset listing the 12018 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Poaceae"
 ]
}

 The dataset's 12018 records were derived from 6288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003474-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15606221
title: Modeling the Importance of Ground and Strong-Motion Variables on the Damage Status in the 2023 Kahramanmaraş Earthquakes Using Supervised Machine Learning

description: The dataset incorporates variables such as Vs30, f0, and EBd to evaluate local ground conditions, in addition to strong-motion parameters including PGA, Repi, and Rrup, with the damage status acting as the target parameter. The station-specific parameters for the 44 available stations within the AFAD seismological network were retrieved from the TADAS database (https://tadas.afad.gov.tr/). This database functions as a comprehensive repository, encompassing active and passive seismic data that represent the site conditions of AFAD stations, as well as strong-motion parameters associated with earthquakes in Türkiye.
DOI: 10.5281/zenodo.15606222
title: Modeling the Importance of Ground and Strong-Motion Variables on the Damage Status in the 2023 Kahramanmaraş Earthquakes Using Supervised Machine Learning

description: The dataset incorporates variables such as Vs30, f0, and EBd to evaluate local ground conditions, in addition to strong-motion parameters including PGA, Repi, and Rrup, with the damage status acting as the target parameter. The station-specific parameters for the 44 available stations within the AFAD seismological network were retrieved from the TADAS database (https://tadas.afad.gov.tr/). This database functions as a comprehensive repository, encompassing active and passive seismic data that represent the site conditions of AFAD stations, as well as strong-motion parameters associated with earthquakes in Türkiye.
DOI: 10.15468/dl.hqnwdp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Nepal, Bhutan, Myanmar, Bangladesh, Pakistan, Afghanistan)",
 "TaxonKey is Satarupa zulla Tytler, 1915"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024318-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11400384
title: NDC-SDG Connections: Data on updated NDC submissions (V2)

description: NDC-SDG Connections is a joint initiative of the German Institute of Development and Sustainability (IDOS) and the Stockholm Environment Institute (SEI). The research and visualisation project aims at illuminating synergies between the 2030 Agenda for Sustainable Development and the Paris Agreement, and at identifying entry points for coherent policies that promote just, sustainable and climate-smart development.

The objective of the NDC-SDG Connections is to: foster a dialogue on meaningful interaction between the 2030 Agenda and the Paris Agreement, globally and at the national level; to increase transparency with easy accessibility to all climate activities; and to cultivate learning and catalyse partnerships between countries and other actors to raise the ambition of future NDCs.

With its second version, the NDC-SDG Connections project opened its data for public re-use. The data on the updated NDC submissions (V2) is provided in the following formats:



single .csv files (per data per SDG)

zip .csv file (data per SDG for all SDG in one zip)

.xlxs file


Visit the Online Data Visualisation to interact directly with the data: www.NDC-SDG.info

Note:This data set contains data for second NDC submissions (V2). The terms ‘First’ and ‘Updated’ do not fully follow the UNFCCC nomenclature. For most countries, updated NDCs are called ‘First updated NDC’ or ‘Enhanced NDCs’, while some countries call their updated NDCs for ‘Second NDC’. In order to make it comprehensible, the tool developers have chosen to distinguish between ‘First’ and ‘Updated’. Detailed description of which version is counted as ‘First’ and which as ‘Updated’ has been documented in the data.

Updated NDCs included in version 1.1.0 of V2: New data added for 22 updated NDCs, plus one NDC updated to a newer version.

New NDCs:

Albania, Argentina, China, Dominica, El Salvador, Equatorial Guinea, Guinea-Bissau, Kuwait, Malawi, Mexico, Myanmar, Nicaragua, Papua New Guinea, Paraguay, Republic of Moldova, São Tomé and Principe, Somalia, Sudan, Tajikistan, Türkiye, Uruguay, Venezuela, Zimbabwe

Updated NDC:

European Union’s NDC has been updated to the most recent version.
description: Funded by: 
The Federal Ministry for Economic Cooperation and Development (BMZ),
The Swedish International Development Cooperation Agency (Sida),
Formas: A Swedish Research Council for Sustainable Development.
DOI: 10.5281/zenodo.15552729
title: NDC-SDG Connections: Data on updated NDC submissions (V2)

description: NDC-SDG Connections is a joint initiative of the German Institute of Development and Sustainability (IDOS) and the Stockholm Environment Institute (SEI). The research and visualisation project aims at illuminating synergies between the 2030 Agenda for Sustainable Development and the Paris Agreement, and at identifying entry points for coherent policies that promote just, sustainable and climate-smart development.

The objective of the NDC-SDG Connections is to: foster a dialogue on meaningful interaction between the 2030 Agenda and the Paris Agreement, globally and at the national level; to increase transparency with easy accessibility to all climate activities; and to cultivate learning and catalyse partnerships between countries and other actors to raise the ambition of future NDCs.

With its second version with data on the updated NDC submissions (V2), the NDC-SDG Connections project opened its data for public re-use. In 2025, the V2 is updated with new data to version 1.2.0. The data is provided in the following formats:



single .csv files (data per SDG)

zip .csv file (data per SDG for all SDG in one zip) 


Visit the Online Data Visualisation to interact directly with the data: www.NDC-SDG.info

 

Note:This data set contains data for second NDC submissions (V2). The terms ‘First’ and ‘Updated’ do not fully follow the UNFCCC nomenclature. For most countries, updated NDCs are called ‘First updated NDC’ or ‘Enhanced NDCs’, while some countries call their updated NDCs for ‘Second NDC’. In order to make it comprehensible, the tool developers have chosen to distinguish between ‘First’ and ‘Updated’. Detailed description of which version is counted as ‘First’ and which as ‘Updated’ has been documented in the data.

 

Updated NDCs included in version 1.2.0 of V2 - New data was added for 27 updated NDCs plus one NDC updated to a newer version:

New Updated NDCs:

Azerbaijan, Benin, Democratic Republic of the Congo, Grenada, India, Kyrgyzstan, Madagascar, Mali, Montenegro, Nepal, Nigeria, Oman, Qatar, Saint Kitts and Nevis, Saint Lucia, Samoa, Sierra Leone, Singapore, South Sudan, Sri Lanka, Suriname, Togo, Tunisia, Tuvalu, Ukraine, United States of America

New version of Updated NDC:

Namibia’s NDC has been updated to the most recent version.
description: Funded by: 
The Federal Ministry for Economic Cooperation and Development (BMZ),
The Swedish International Development Cooperation Agency (Sida),
Formas: A Swedish Research Council for Sustainable Development.
DOI: 10.5281/zenodo.8091618
title: NDC-SDG Connections: Data on updated NDC submissions (V2)

description: NDC-SDG Connections is a joint initiative of the German Institute of Development and Sustainability (IDOS) and the Stockholm Environment Institute (SEI). The research and visualisation project aims at illuminating synergies between the 2030 Agenda for Sustainable Development and the Paris Agreement, and at identifying entry points for coherent policies that promote just, sustainable and climate-smart development.

The objective of the NDC-SDG Connections is to: foster a dialogue on meaningful interaction between the 2030 Agenda and the Paris Agreement, globally and at the national level; to increase transparency with easy accessibility to all climate activities; and to cultivate learning and catalyse partnerships between countries and other actors to raise the ambition of future NDCs.

With its second version with data on the updated NDC submissions (V2), the NDC-SDG Connections project opened its data for public re-use. In 2025, the V2 is updated with new data to version 1.2.0. The data is provided in the following formats:



single .csv files (data per SDG)

zip .csv file (data per SDG for all SDG in one zip) 


Visit the Online Data Visualisation to interact directly with the data: www.NDC-SDG.info

 

Note:This data set contains data for second NDC submissions (V2). The terms ‘First’ and ‘Updated’ do not fully follow the UNFCCC nomenclature. For most countries, updated NDCs are called ‘First updated NDC’ or ‘Enhanced NDCs’, while some countries call their updated NDCs for ‘Second NDC’. In order to make it comprehensible, the tool developers have chosen to distinguish between ‘First’ and ‘Updated’. Detailed description of which version is counted as ‘First’ and which as ‘Updated’ has been documented in the data.

 

Updated NDCs included in version 1.2.0 of V2 - New data was added for 27 updated NDCs plus one NDC updated to a newer version:

New Updated NDCs:

Azerbaijan, Benin, Democratic Republic of the Congo, Grenada, India, Kyrgyzstan, Madagascar, Mali, Montenegro, Nepal, Nigeria, Oman, Qatar, Saint Kitts and Nevis, Saint Lucia, Samoa, Sierra Leone, Singapore, South Sudan, Sri Lanka, Suriname, Togo, Tunisia, Tuvalu, Ukraine, United States of America

New version of Updated NDC:

Namibia’s NDC has been updated to the most recent version.
description: Funded by: 
The Federal Ministry for Economic Cooperation and Development (BMZ),
The Swedish International Development Cooperation Agency (Sida),
Formas: A Swedish Research Council for Sustainable Development.
DOI: 10.5281/zenodo.8091619
title: NDC-SDG Connections: Data on updated NDC submissions (V2)

description: NDC-SDG Connections is a joint initiative of the German Institute of Development and Sustainability (IDOS) and the Stockholm Environment Institute (SEI). The research and visualisation project aims at illuminating synergies between the 2030 Agenda for Sustainable Development and the Paris Agreement, and at identifying entry points for coherent policies that promote just, sustainable and climate-smart development.


The objective of the NDC-SDG Connections is to: foster a dialogue on meaningful interaction between the 2030 Agenda and the Paris Agreement, globally and at the national level; to increase transparency with easy accessibility to all climate activities; and to cultivate learning and catalyse partnerships between countries and other actors to raise the ambition of future NDCs.


With its second version, the NDC-SDG Connections project opened its data for public re-use. The data on the updated NDC submissions (V2) is provided in the following formats:



	
single .csv files (per data per SDG)
	
zip .csv file (data per SDG for all SDG in one zip)
	
.xlxs file



Visit the Online Data Visualisation to interact directly with the data: www.NDC-SDG.info


Additional files:



	
.pdf file documenting the methodological framework including the coding and data validation process of the NDC-SDG Connections project
	
.csv file with all NDCs included into the analysis (V2)



 


Note:This data set contains data for second NDC submissions (V2). The terms ‘First’ and ‘Updated’ do not fully follow the UNFCCC nomenclature. For most countries, updated NDCs are called ‘First updated NDC’ or ‘Enhanced NDCs’, while some countries call their updated NDCs for ‘Second NDC’. In order to make it comprehensible, the tool developers have chosen to distinguish between ‘First’ and ‘Updated’. Detailed description of which version is counted as ‘First’ and which as ‘Updated’ has been documented in the data.


Updated NDCs included in this first version of V2:
Angola, Antigua and Barbuda, Armenia, Australia, Bahamas, Bahrain, Bangladesh, Bhutan, Bosnia and Herzegovina, Brazil, Burkina Faso, Burundi, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, Colombia, Comoros, Costa Rica, Cote d’Ivoire, Cuba, Dominican Republic, Eswatini, European Union, Fiji, Gabon, Ghana, Georgia, Guinea, Haiti, Honduras, Iceland, Jamaica, Japan, Kenya, Lao People’s Democratic Republic, Lebanon, Malaysia, Maldives, Marshall Islands, Micronesia, Monaco, Mongolia, Morocco, Mozambique, Nauru, Niger, Peru, Republic of Korea, Rwanda, Saudi Arabia, Serbia, Seychelles, South Africa, State of Palestine, Switzerland, Timor-Leste, Tonga, Uganda, Uzbekistan, Zambia.
description: Funded by: 
The Federal Ministry for Economic Cooperation and Development (BMZ),
The Swedish International Development Cooperation Agency (Sida),
Formas: A Swedish Research Council for Sustainable Development.
DOI: 10.15468/dl.rdtapq
title: Occurrence Download

description: A dataset containing 2500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosa multiflora Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2500 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025522-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.