cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sm66dy
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pilea microphylla",
 "Country is Solomon Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080939-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rmb9rkkj2d.2
title: Supplemental Material for Vrcan et al., Genome-wide analyses to identify genomic regions associated with udder morphology traits in dairy sheep

description: Supplementary Tables associated to research paper Vrcan et al., Genome-wide analyses to unravel genetic mechanisms governing udder morphology traits in dairy sheep.
DOI: 10.5281/zenodo.16641846
title: Dataset for 'A Geological Carbon Cycle Sink Hosted by Ocean Crust Talus Breccias' - Coggon et al. Nature Geoscience

description: Supplementary materials dataset for the manuscript 'A Geological Carbon Cycle Sink Hosted by Ocean Crust Talus Breccias' - Coggon et al. Nature Geoscience
DOI: 10.17632/k8vzmzyjxp
title: Replication : Does global warming worsen gender equality? Evidence from subnational data

description: Does global warming worsen gender equality? Evidence from subnational data
Authors:
 Naveen Kumar (Delhi School of Economics)
 Prof. Dibyendu Maiti (Delhi School of Economics)
Date: April 8, 2025

1. Overview
This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.

2. Contents
This folder contains datasets sourced from the Global Data Lab (GDL) [https://globaldatalab.org/], which offers subnational-level indicators including the Human Development Index (HDI), Gender Development Index (GDI), per capita income, and related metrics. These indicators are compiled primarily from household surveys such as the Demographic and Health Surveys (DHS) [https://dhsprogram.com/], with aggregation to subnational regions using survey-weighted estimates. For non-survey years, GDL employs interpolation and extrapolation techniques to estimate values across periods like 2000–2019. Climate variables—such as temperature, precipitation, and humidity—are derived from the GDL geospatial database (https://globaldatalab.org/geos/), which aggregates weather and emission data compatible with subnational regions for analytical integration. These datasets are structured for ease of use for researchers with limited geospatial training. We acknowledge Yohan Iddawela's post on X [https://x.com/yohaniddawela/status/1829122168694653234], associated with The Spatial Edge newsletter(https://www.spatialedge.co/p/new-granular-human-development-index?utm_source=publication-search), as the source through which we discovered this resource.
The folder includes two primary datasets:
Temp_gender_GDL.dta: The core dataset used for primary analyses, incorporating temperature, gender-related indicators, and other variables from GDL.
robustness_demography.dta: An extended dataset incorporating additional demographic variables for robustness checks.
Additionally, the folder may contain do-files for data processing and PDFs of log files capturing execution outputs.
DOI: 10.17632/k8vzmzyjxp.1
title: Replication : Does global warming worsen gender equality? Evidence from subnational data

description: Does global warming worsen gender equality? Evidence from subnational data
Authors:
 Naveen Kumar (Delhi School of Economics)
 Prof. Dibyendu Maiti (Delhi School of Economics)
Date: April 8, 2025

1. Overview
This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.

2. Contents
This folder contains datasets sourced from the Global Data Lab (GDL) [https://globaldatalab.org/], which offers subnational-level indicators including the Human Development Index (HDI), Gender Development Index (GDI), per capita income, and related metrics. These indicators are compiled primarily from household surveys such as the Demographic and Health Surveys (DHS) [https://dhsprogram.com/], with aggregation to subnational regions using survey-weighted estimates. For non-survey years, GDL employs interpolation and extrapolation techniques to estimate values across periods like 2000–2019. Climate variables—such as temperature, precipitation, and humidity—are derived from the GDL geospatial database (https://globaldatalab.org/geos/), which aggregates weather and emission data compatible with subnational regions for analytical integration. These datasets are structured for ease of use for researchers with limited geospatial training. We acknowledge Yohan Iddawela's post on X [https://x.com/yohaniddawela/status/1829122168694653234], associated with The Spatial Edge newsletter(https://www.spatialedge.co/p/new-granular-human-development-index?utm_source=publication-search), as the source through which we discovered this resource.
The folder includes two primary datasets:
Temp_gender_GDL.dta: The core dataset used for primary analyses, incorporating temperature, gender-related indicators, and other variables from GDL.
robustness_demography.dta: An extended dataset incorporating additional demographic variables for robustness checks.
Additionally, the folder may contain do-files for data processing and PDFs of log files capturing execution outputs.
DOI: 10.17632/sk6jwy7xmg.2
title: CONFEX: CONUS and Alaska Fire EXtent database

description: This is a wildfire database for the CONUS and Alaska regions based on the VIIRS S-NPP 375m product. The database consists of two parts, the first part is a zip file that contains shapefiles of all the fires, and the second part is a summary csv file which contains summary of all the wildfires in the zip file. The csv file provides the cluster id, start date, end date, ignition location, centroid location, and number of VIIRS S-NPP hotspots in each fire, for all the wildfires for 2012-23. From the cluster id in the csv, the shapefile of any fire in all fires zip file can be identified..
DOI: 10.15468/dl.ftguzs
title: Occurrence Download

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

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080938-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i20356609v18i1p163
title: Feminicide and the Necropolitics of Latin American Migration in the United States

description: This article focuses on the dialectic between the ordinary invisibility of feminicide crimes in the United States and the exceptional visibility of select others. Using analytic perspectives from feminist and anthropological perspectives, it highlights feminicide cases from the rural Midwestern United States and places them in the broader context of the on-going crisis of murdered women in the Americas. It argues that the violent murders of young white college-educated women are used instrumentally to deepen and advance immigration policy against racialized Latin American populations while continuing to render all women vulnerable to lethal intimate partner violence through public erasure and institutional impunity.
DOI: 10.22033/esgf/cmip6.9434
title: NIWA UKESM1.0-LL model output prepared for CMIP6 AerChemMIP piClim-N2O

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.NIWA.UKESM1-0-LL.piClim-N2O' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:
 aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). 
The model was run by the National Institute of Water and Atmospheric Research, Hataitai, Wellington 6021, New Zealand (NIWA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.9439
title: NIWA UKESM1.0-LL model output prepared for CMIP6 AerChemMIP piClim-OC

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.NIWA.UKESM1-0-LL.piClim-OC' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:
 aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). 
The model was run by the National Institute of Water and Atmospheric Research, Hataitai, Wellington 6021, New Zealand (NIWA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.15468/dl.8kykru
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opisthotropis cheni Zhao, 1999"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004612-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22033/esgf/cmip6.1741
title: NIWA UKESM1.0-LL model output prepared for CMIP6 AerChemMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.NIWA.UKESM1-0-LL' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:
 aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). 
The model was run by the National Institute of Water and Atmospheric Research, Hataitai, Wellington 6021, New Zealand (NIWA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.9440
title: NIWA UKESM1.0-LL model output prepared for CMIP6 AerChemMIP piClim-SO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.NIWA.UKESM1-0-LL.piClim-SO2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:
 aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). 
The model was run by the National Institute of Water and Atmospheric Research, Hataitai, Wellington 6021, New Zealand (NIWA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.9643
title: CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 RFMIP piClim-4xCO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.RFMIP.CNRM-CERFACS.CNRM-ESM2-1.piClim-4xCO2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The CNRM-ESM2-1 climate model, released in 2017, includes the following components:
 aerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1. 
The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.