cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22033/esgf/cmip6.13726
title: NCC NorESM2-LM model output prepared for CMIP6 C4MIP 1pctCO2-rad

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.C4MIP.NCC.NorESM2-LM.1pctCO2-rad' 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 NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components:
 aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. 
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 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/cmip6.13731
title: NCC NorESM2-LM model output prepared for CMIP6 C4MIP esm-1pct-brch-1000PgC

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.C4MIP.NCC.NorESM2-LM.esm-1pct-brch-1000PgC' 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 NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components:
 aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. 
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 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/cmip6.13745
title: NCC NorESM2-LM model output prepared for CMIP6 CDRMIP esm-pi-CO2pulse

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CDRMIP.NCC.NorESM2-LM.esm-pi-CO2pulse' 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 NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components:
 aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. 
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 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/cmip6.13746
title: NCC NorESM2-LM model output prepared for CMIP6 CDRMIP esm-pi-cdr-pulse

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CDRMIP.NCC.NorESM2-LM.esm-pi-cdr-pulse' 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 NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components:
 aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. 
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 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/cmip6.13747
title: NCC NorESM2-LM model output prepared for CMIP6 CDRMIP esm-ssp534-over

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CDRMIP.NCC.NorESM2-LM.esm-ssp534-over' 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 NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components:
 aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. 
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 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.xteggr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria ciliaris",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080963-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugnrrh
title: Occurrence Download

description: A dataset containing 971121 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Jamaica"
 ]
}

 The dataset includes 971121 records from 1101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082037-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tk49x9
title: Occurrence Download

description: A dataset containing 2839 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros eriantha Champ. ex Benth."
 ]
}

 The dataset includes 2839 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001202-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygbue9
title: Occurrence Download

description: A dataset containing 1337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Leysera L."
 ]
}

 The dataset includes 1337 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013386-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xy5egv
title: Occurrence Download

description: A dataset listing the 2826 species recorded in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "SpeciesKey is not null",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "TaxonomicStatus is Accepted",
 "Geometry POLYGON ((76.26160 33.51435, 74.29115 34.86234, 73.05443 35.49756, 71.98108 35.41812, 71.88864 34.78304, 73.37190 33.67294, 75.05567 32.24567, 74.70967 32.00779, 74.15584 32.40425, 73.37090 32.64213, 72.00833 32.48355, 71.77782 33.03860, 70.87512 33.19718, 70.10224 32.40425, 70.63686 31.13556, 70.38119 30.02546, 69.91521 29.15324, 68.70042 28.67748, 68.54856 29.31182, 68.14716 29.62900, 67.47449 29.07395, 67.20241 27.64667, 67.78660 26.21940, 67.92134 25.34718, 67.23308 25.66435, 66.80853 26.45728, 66.32169 25.74364, 66.03567 25.42460, 64.06307 25.32572, 63.46904 25.27693, 63.50568 25.20678, 64.29434 13.80724, 67.47859 -8.99183, 70.17713 -23.67969, 73.52019 -26.96802, 81.71306 -31.03200, 85.01075 -32.66779, 90.63725 -33.28841, 90.97305 -33.32545, 91.24545 -33.07375, 104.25908 -21.04903, 111.15305 -12.74226, 111.94572 -12.09114, 113.63212 -10.86106, 115.51693 -9.11513, 115.93357 -8.30169, 116.70733 -5.92089, 117.46125 -2.78616, 117.61227 -2.10080, 117.86474 -1.53828, 120.35700 1.96927, 123.13518 3.28460, 128.21928 5.25759, 130.30436 6.57083, 132.39609 7.88825, 134.64387 15.34180, 135.10460 27.17978, 135.02048 27.90876, 134.91029 27.87102, 132.52699 29.08281, 127.77569 30.29459, 124.91504 30.29459, 120.56785 29.94617, 118.97294 29.15324, 116.47268 27.80526, 115.89012 27.72597, 115.18241 26.93303, 114.35053 27.25021, 114.01392 27.96384, 115.40217 28.51890, 115.65938 29.54970, 113.52382 29.31182, 113.26101 28.51890, 113.30635 27.17091, 112.86510 26.93303, 112.30962 27.25021, 112.01839 28.12243, 109.55639 28.28101, 109.41040 27.48809, 108.14232 26.61586, 106.84528 25.18859, 106.00949 23.44414, 104.04615 23.28556, 101.87345 23.91990, 99.79438 25.03000, 98.35313 27.09162, 97.58348 28.04314, 96.68563 28.83607, 95.28347 29.15324, 93.57604 28.36031, 91.73929 27.72597, 88.30244 27.72597, 83.93652 28.51890, 79.68748 30.58051, 77.70822 31.61132, 76.26160 33.51435))"
 ]
}

 The dataset's 2826 records were derived from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013375-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15286803
title: Simultaion of Pre-Supernova Multiple Giant Eruptions in Massive Stars
title: Multiple Eruptions in Massive Stars

description: The dataset accompanying this study includes all essential components required to execute the MESA (Modules for Experiments in Stellar Astrophysics) code for our numerical simulations focused on accretion mechanics in massive stars. It features a complete inlist file that specifies all the input physics, control parameters, and computational settings necessary for the stellar evolution modeling. Also included are the rn and mk files, which are critical for compiling the MESA source code and ensuring proper code functionality on the user's system.

The dataset further provides comprehensive history.data and profile.data files generated during the simulations. The history.data file records the global stellar parameters (such as luminosity, surface temperature, stellar radius, total mass, central entropy, and various forms of energy) as functions of time, while the profile.data files store internal structure data at selected time steps offering spatial resolution for variables such as density, temperature, composition, and energy generation rates throughout the star's interior. To facilitate visualization and analysis, the dataset includes Python scripts designed to extract and plot key parameters from the MESA output. These scripts generate graphs that track the evolution of stellar properties over time and with radius, supporting a detailed understanding of the physical processes occurring during MGEs.
DOI: 10.5281/zenodo.15286804
title: Simultaion of Pre-Supernova Multiple Giant Eruptions in Massive Stars
title: Multiple Eruptions in Massive Stars

description: The dataset accompanying this study includes all essential components required to execute the MESA (Modules for Experiments in Stellar Astrophysics) code for our numerical simulations focused on accretion mechanics in massive stars. It features a complete inlist file that specifies all the input physics, control parameters, and computational settings necessary for the stellar evolution modeling. Also included are the rn and mk files, which are critical for compiling the MESA source code and ensuring proper code functionality on the user's system.

The dataset further provides comprehensive history.data and profile.data files generated during the simulations. The history.data file records the global stellar parameters (such as luminosity, surface temperature, stellar radius, total mass, central entropy, and various forms of energy) as functions of time, while the profile.data files store internal structure data at selected time steps offering spatial resolution for variables such as density, temperature, composition, and energy generation rates throughout the star's interior. To facilitate visualization and analysis, the dataset includes Python scripts designed to extract and plot key parameters from the MESA output. These scripts generate graphs that track the evolution of stellar properties over time and with radius, supporting a detailed understanding of the physical processes occurring during MGEs.
DOI: 10.5281/zenodo.15333592
title: PRMT6-RBM39-R

description: This dataset includes both R code and raw data files
DOI: 10.5281/zenodo.15333593
title: PRMT6-RBM39-R

description: This dataset includes both R code and raw data files