cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9h6frk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptoderma Vaillant, 1886",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((43.4313 -17.5054,43.9059 -19.9421,43.0686 -21.0649,42.7023 -21.9969,43.1619 -23.5254,43.213 -24.5373,43.6164 -25.1504,44.9648 -25.1504,44.9648 -16.1504,43.978 -16.1504,43.9239 -16.5407,43.4313 -17.5054))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013708-250525065834625/datasets/export for details.
DOI: 10.15468/dl.3udb9r
title: Occurrence Download

description: A dataset containing 1716021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Urtica dioica L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1716021 records from 4444 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013690-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnhszy
title: Occurrence Download

description: A dataset containing 3220 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melaleuca viminalis (Gaertn.) Byrnes"
 ]
}

 The dataset includes 3220 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021790-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13836971
title: 1-km gridded European crop-specific irrigated area for each year from 2010 to 2020

description: The European crop-specific irrigated area (ECIRA) dataset provides crop-specific irrigated and rainfed areas distinguishing 16 crop types across 28 European countries from 2010 to 2020. 

For specific information please check the 'Readme.txt'.

Please note that this manuscript is currently under review at Nature Scientific Data, and any potential updates to the ECIRA dataset will be reflected in future versions if applicable.
DOI: 10.5281/zenodo.13836970
title: 1-km gridded European crop-specific irrigated area for each year from 2010 to 2020 (version 2)

description: The European crop-specific irrigated area dataset version 2 (ECIRAv2) provides crop-specific irrigated and rainfed areas distinguishing 16 crop types across 28 European countries from 2010 to 2020. 

For specific information about the dataset please check the 'Readme.txt'.

Please note that this manuscript is currently under review at Nature Scientific Data, and any potential updates to the ECIRA dataset will be reflected in future versions if applicable.

This is the second version of the ECIRA dataset. Compared to the first version, the most significant improvement is the constraint applied to the sum of 16 crop-specific AAI, which is now limited to a maximum of 100. Therefore, the crop-specific AAI was also updated accordingly.

For details of the modifications, please refer to the GitHub Readme.
DOI: 10.5281/zenodo.15569388
title: 1-km gridded European crop-specific irrigated area for each year from 2010 to 2020 (version 2)

description: The European crop-specific irrigated area dataset version 2 (ECIRAv2) provides crop-specific irrigated and rainfed areas distinguishing 16 crop types across 28 European countries from 2010 to 2020. 

For specific information about the dataset please check the 'Readme.txt'.

Please note that this manuscript is currently under review at Nature Scientific Data, and any potential updates to the ECIRA dataset will be reflected in future versions if applicable.

This is the second version of the ECIRA dataset. Compared to the first version, the most significant improvement is the constraint applied to the sum of 16 crop-specific AAI, which is now limited to a maximum of 100. Therefore, the crop-specific AAI was also updated accordingly.

For details of the modifications, please refer to the GitHub Readme.
DOI: 10.17632/7km2bwgsfr
title: Subjective cost of credit, access to financial services, and household well-being

description: Within the West African Economic and Monetary Union (WAEMU), marked socioeconomic disparities and scarce credit underscore the development stakes of linking credit costs, financial access, and household well-being. While credit is often touted as a poverty-reduction tool, its welfare effect hinges on interest-rate levels, whether objectively observed or subjectively perceived. Drawing on the 2018 and 2021 World Bank Harmonized Household Living Standards Surveys and estimating mixed-effects models, we analyze heterogenous impacts across social, economic, and geographic strata
DOI: 10.17632/7km2bwgsfr.1
title: Subjective cost of credit, access to financial services, and household well-being

description: Within the West African Economic and Monetary Union (WAEMU), marked socioeconomic disparities and scarce credit underscore the development stakes of linking credit costs, financial access, and household well-being. While credit is often touted as a poverty-reduction tool, its welfare effect hinges on interest-rate levels, whether objectively observed or subjectively perceived. Drawing on the 2018 and 2021 World Bank Harmonized Household Living Standards Surveys and estimating mixed-effects models, we analyze heterogenous impacts across social, economic, and geographic strata
DOI: 10.17632/s7t4zc34sr.1
title: Unprecedented recent summer warming and cross-sphere hydrological 1 coupling in Asian Water Towers

description: The Asian Water Towers play a crucial role in the hydrological cycle at sub-continent to hemispheric scales. Although temperature measurements show rapid warming in High Asia, the sensitivity and resilience of the large Water Towers are uncertain, because observational data are limited in space and time. Here, we use 814-year-long tree-ring width (TRW) and maximum latewood density (MXD) chronologies from Picea likiangensis from the eastern Tibetan Plateau to reconstruct June–September mean temperatures. Our reconstruction reveals the series warms by 1.5°C during the modern observation window (1970–2023), which is 0.5±0.4°C above the pre-industrial baseline (1210–1850), making 2024 the warmest summer in the past eight centuries. The winter runoff in the Brahmaputra, Indus and Salween headwaters amplifies this unprecedented warming due to atmosphere-cryosphere feedbacks in which enhanced meltwater, spring soil‑moisture persistence and reduced summer albedo accelerate regional warming. Detection and attribution analyses identify volcanic and solar forcing as the main drivers of natural, pre-industrial variability before 1850 CE, whereas anthropogenic forcing exceeds the 99 % detection threshold after 2020 CE.
DOI: 10.5281/zenodo.18459694
title: UNEP GEMS/Water Global Freshwater Quality Archive

description: Large-sample datasets are essential in hydrological science to support modelling studies and global assessments. The present dataset compiles all freshwater quality data that is available under open data policy (CC BY 4.0 or equivalent) in the GEMStat database for global water quality (www.gemstat.org). 

Additional data under Creative Commons license CC BY-NC 4.0 (or eqivalent) is available for non-commercial use via the GEMStat portal or request to gwdc@bafg.de.

GEMStat is operated by the GEMS/Water programme of the United Nations Environment Programme (UNEP) and hosted at the International Centre for Water Resources and Global Change (ICWRGC) and the German Federal Institute of Hydrology (BfG). The data in GEMStat is provided by National Hydrological Services of UN Member States.

The data available here at Zenodo consists of a zip archive with 80 individual csv files for different parameter groups. Three csv files provide metadata information on stations (GEMStat_station_metadata.csv), parameters (GEMStat_parameter_metadata.csv) and analytical methods (GEMStat_method_metadata.csv). A text file (README_output_format.txt) gives information on the different entry classes in the data files.

If you have querries regarding the dataset, please contact the GEMS/Water Data Centre via email to gwdc@bafg.de.

VERSIONS

Version v3

This version includes all data submissions from 2025. It comprises over 50,000,000 measurements on 622 water quality parameters, covering 22,982 stations in 42 countries over the time period from 1906 to 2024.

Version v2

An error was corrected that led to overestimation for all parameters in Version v1.

Version v2 includes all data submissions until November 2024, with over 20,000,000 measurements on 608 water quality parameters, covering 13,660 stations in 37 countries over the time period from 1906 to 2023.

Version v1

To avoid further download of Version v1, access to it has been restricted while Version v2 is publicly available.
DOI: 10.5281/zenodo.13881899
title: UNEP GEMS/Water Global Freshwater Quality Archive

description: Large-sample datasets are essential in hydrological science to support modelling studies and global assessments. The present dataset compiles all freshwater quality data that is available under open data policy (CC BY 4.0 or equivalent) in the GEMStat database for global water quality (www.gemstat.org). 

Additional data under Creative Commons license CC BY-NC 4.0 (or eqivalent) is available for non-commercial use via the GEMStat portal or request to gwdc@bafg.de.

GEMStat is operated by the GEMS/Water programme of the United Nations Environment Programme (UNEP) and hosted at the International Centre for Water Resources and Global Change (ICWRGC) and the German Federal Institute of Hydrology (BfG). The data in GEMStat is provided by National Hydrological Services of UN Member States.

The data available here at Zenodo consists of a zip archive with 80 individual csv files for different parameter groups. Three csv files provide metadata information on stations (GEMStat_station_metadata.csv), parameters (GEMStat_parameter_metadata.csv) and analytical methods (GEMStat_method_metadata.csv). A text file (README_output_format.txt) gives information on the different entry classes in the data files.

If you have querries regarding the dataset, please contact the GEMS/Water Data Centre via email to gwdc@bafg.de.

VERSIONS

Version v3

This version includes all data submissions from 2025. It comprises over 50,000,000 measurements on 622 water quality parameters, covering 22,982 stations in 42 countries over the time period from 1906 to 2024.

Version v2

An error was corrected that led to overestimation for all parameters in Version v1.

Version v2 includes all data submissions until November 2024, with over 20,000,000 measurements on 608 water quality parameters, covering 13,660 stations in 37 countries over the time period from 1906 to 2023.

Version v1

To avoid further download of Version v1, access to it has been restricted while Version v2 is publicly available.
DOI: 10.15468/dl.zsp4sm
title: Occurrence Download

description: A dataset containing 2699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-75.77 4.536,-75.73 4.536,-75.73 4.576,-75.77 4.576,-75.77 4.536))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 2699 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007282-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18437119
title: IODP Expedition 403 X-ray fluorescence (XRF)

description: Elemental peak intensities in section halves were measured by an Avaatech X-ray fluorescence (XRF) Core Scanner postexpedition. Each measurement position may be measured at multiple XRF conditions in order to excite and measure specific ranges of elements (e.g., 10 kV and no filter for light elements). Peak intensity changes (concentrations not provided) are then used to help recognize and define major chemostratigraphic units without the need for destructive sampling. Data are presented in comma-delimited (CSV) files by section and by energy/instrumental conditions.
DOI: 10.5281/zenodo.18437118
title: IODP Expedition 403 X-ray fluorescence (XRF)

description: Elemental peak intensities in section halves were measured by an Avaatech X-ray fluorescence (XRF) Core Scanner postexpedition. Each measurement position may be measured at multiple XRF conditions in order to excite and measure specific ranges of elements (e.g., 10 kV and no filter for light elements). Peak intensity changes (concentrations not provided) are then used to help recognize and define major chemostratigraphic units without the need for destructive sampling. Data are presented in comma-delimited (CSV) files by section and by energy/instrumental conditions.
DOI: 10.15468/dl.u5j4vb
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Registros de Aves, Reptiles y Anfibios en el Bosque de Guáimaro en Becerril, Cesar",
 "Geometry POLYGON((-74.13579929682827 8.73210126802979,-72.27135758862154 8.73210126802979,-72.27135758862154 10.59654297623651,-74.13579929682827 10.59654297623651,-74.13579929682827 8.73210126802979))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 54 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007283-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18437113
title: IODP Expedition 403 X-ray diffraction (XRD)

description: X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).
DOI: 10.5281/zenodo.18437114
title: IODP Expedition 403 X-ray diffraction (XRD)

description: X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).
DOI: 10.15468/dl.794my4
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castela coccinea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 216 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007285-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25fgwn
title: Occurrence Download

description: A dataset containing 6285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis canina, Agrostis canina)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 6285 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007284-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u34334
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-80.38813 -5.30109,-77.14941 -5.30109,-77.14941 -2.39084,-80.38813 -2.39084,-80.38813 -5.30109))",
 "PublishingOrg is c54097e6-0972-4acb-b849-eaeba29c917d",
 "TaxonKey is Tremarctos ornatus"
 ]
}

 The dataset includes 289 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007287-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18437108
title: IODP Expedition 403 Thermal conductivity

description: Thermal conductivity was measured using the heated needle method in either full-space needle configuration (soft/saturated sediments) or half-space needle configuration (harder materials) of a TeKa Berlin TK-04 thermal conductivity meter. Heat is applied to the sample and then thermal equilibrium is sought. The heating and equilibration curve is reduced to derive the thermal conductivity value. Raw data are stored if a user wishes to do off-line or postexpedition reduction.
DOI: 10.5281/zenodo.18437109
title: IODP Expedition 403 Thermal conductivity

description: Thermal conductivity was measured using the heated needle method in either full-space needle configuration (soft/saturated sediments) or half-space needle configuration (harder materials) of a TeKa Berlin TK-04 thermal conductivity meter. Heat is applied to the sample and then thermal equilibrium is sought. The heating and equilibration curve is reduced to derive the thermal conductivity value. Raw data are stored if a user wishes to do off-line or postexpedition reduction.
DOI: 10.5281/zenodo.18437106
title: IODP Expedition 403 Magnetic remanence (SRM-longcore)

description: Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
DOI: 10.5281/zenodo.18437107
title: IODP Expedition 403 Magnetic remanence (SRM-longcore)

description: Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
DOI: 10.6073/pasta/b9b70445f5195415b47583ee65e9c795
title: Barn Tower Meteorological Station at Harvard Forest since 2015

description: The Barn Tower (40 m) was installed in 2009 to support meteorological and phenological measurements and to provide a relay point for the Harvard Forest field wireless network. A wind instrument was later installed at the top of the tower to provide continuous measurements of wind speed and direction.
DOI: 10.5281/zenodo.18437104
title: IODP Expedition 403 Magnetic remanence (SRM-discrete)

description: Raw data files for the magnetic remanence measurements of discrete and section-half samples on the superconducting rock magnetometer (SRM-DISC and SRM-SECT) are stored on by hole and by expedition, and are designated as discrete samples, section halves, or, rarely, whole-round sections.
DOI: 10.5281/zenodo.18437105
title: IODP Expedition 403 Magnetic remanence (SRM-discrete)

description: Raw data files for the magnetic remanence measurements of discrete and section-half samples on the superconducting rock magnetometer (SRM-DISC and SRM-SECT) are stored on by hole and by expedition, and are designated as discrete samples, section halves, or, rarely, whole-round sections.
DOI: 10.5281/zenodo.18437102
title: IODP Expedition 403 Magnetic remanence (spinner)

description: Magnetic remanence was measured on discrete samples by an Agico JR-6A spinner magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization or remagnetization steps were performed on the samples (e.g., alternating field [AF] demagnetization, thermal demagnetization [TD], or isothermal remanent magnetization [IRM]).
DOI: 10.5281/zenodo.18437101
title: IODP Expedition 403 Magnetic remanence (spinner)

description: Magnetic remanence was measured on discrete samples by an Agico JR-6A spinner magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization or remagnetization steps were performed on the samples (e.g., alternating field [AF] demagnetization, thermal demagnetization [TD], or isothermal remanent magnetization [IRM]).
DOI: 10.15468/dl.c79gfc
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dioscorea scabra"
 ]
}

 The dataset includes 163 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007289-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2kwyn2
title: CCDC 2380355: Experimental Crystal Structure Determination

description: Related Article: Joong Yeon Lim, Seonghwan Kim, Young-Seong Kim|2025|Results in Physics|70|108162|doi:10.1016/j.rinp.2025.108162
description: Related Article: Joong Yeon Lim, Seonghwan Kim, Young-Seong Kim|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.u3v5s3
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "OccurrenceStatus is Present",
 "TaxonKey is Lantana camara",
 "Year 1976-1986"
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007291-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nufd8c
title: Occurrence Download

description: A dataset containing 400810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, Belgium, Switzerland, Luxembourg)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coccinellidae"
 ]
}

 The dataset includes 400810 records from 2020 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007241-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15560914
title: CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation

description: Implementation of 'CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation'
DOI: 10.5281/zenodo.15560915
title: CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation

description: Implementation of 'CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation'
DOI: 10.5281/zenodo.15572048
title: CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation

description: Implementation of 'CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation'