cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18302430
title: PIMD simulations of the Zundel cation with PIGSTA-based post-processing

description: This dataset contains data from path-integral molecular dynamics (PIMD) simulations of the Zundel cation performed with CP2K, together with post-processed results obtained using the PIGSTA methodology.

The archive includes CP2K restart files, atomic coordinates, forces, and energy time series for a range of bead numbers. In addition, structural descriptors characterizing nuclear quantum delocalization are provided, including the proton-sharing coordinate (delta) and the radius of gyration of the shared proton.

For all bead numbers except P = 8192, these structural descriptors were evaluated both on the original PIMD configurations and on the PIGSTA-filtered coordinates, enabling direct assessment of bead-number convergence and internal consistency.

The dataset further includes a library of convolution kernel functions used in the PIGSTA post-processing, provided in the directory "kernel_library".

These data support the results and methodological analysis presented in the associated publication and enable further analysis of additional structural descriptors without the need to rerun the underlying simulations.
DOI: 10.5281/zenodo.18303130
title: Ranunculus muricatus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303131
title: Ranunculus muricatus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.15468/dl.d8p53z
title: Occurrence Download

description: A dataset containing 1468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Esox lucius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1940",
 "Year is less than or equal to 1944"
 ]
}

 The dataset includes 1468 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000119-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ka63a
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cynoglossum officinale, Cynoglossum officinale, Cynoglossum officinale, Cynoglossum officinale, Cynoglossum officinale, Cynoglossum vulgare, Cynoglossum vulgare, Cynoglossum vulgare, Cynoglossum vulgare, Cynoglossum vulgare)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 249 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000122-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdqezu
title: Occurrence Download

description: A dataset containing 893 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rana italica",
 "Year 2000-2025"
 ]
}

 The dataset includes 893 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000123-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sky6dy
title: Occurrence Download

description: A dataset containing 3816 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.78 2.171179, 103.709687 2.165611, 103.641107 2.149043, 103.575949 2.121883, 103.51582 2.084801, 103.462199 2.038711, 103.416408 1.984748, 103.379574 1.924242, 103.352603 1.858682, 103.336157 1.789684, 103.330641 1.718947, 103.33619 1.648212, 103.352665 1.579222, 103.37966 1.513674, 103.416509 1.453182, 103.462305 1.399235, 103.51592 1.35316, 103.576035 1.316093, 103.641169 1.288945, 103.70972 1.272384, 103.78 1.266818, 103.85028 1.272384, 103.918831 1.288945, 103.983965 1.316093, 104.04408 1.35316, 104.097695 1.399235, 104.143491 1.453182, 104.18034 1.513674, 104.207335 1.579222, 104.22381 1.648212, 104.229359 1.718947, 104.223843 1.789684, 104.207397 1.858682, 104.180426 1.924242, 104.143592 1.984748, 104.097801 2.038711, 104.04418 2.084801, 103.984051 2.121883, 103.918893 2.149043, 103.850313 2.165611, 103.78 2.171179))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 3816 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000121-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18303135
title: Ranunculus platensis Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303134
title: Ranunculus platensis Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18302840
title: Transcripció literal del grup de discussió amb alumnat

description: Aquest conjunt de dades inclou la transcripció literal completa d'un grup de disussió realitzat en el marc del Treball de Final de Màster Interuniversitari en Psicologia de l'Educació. 

El grup de discussió va ser dissenyat, moderat i transcrit per l'autora com a part del procés de recollida de dades qualitatives, amb l'objectiu d'aprofundir en la vivència d’un grup d’alumnes que han participat en el projecte Identit.art. 

La transcripció ha estat anonimitzada per garantir la confidencialitat de les persones participants i s'utilitza exclusivament amb finalitats de recerca i acadèmiques. 

L’ús d’aquestes dades està subjecte a les condicions de la llicència indicada i no es permet la identificació de les persones participants.
DOI: 10.5281/zenodo.18302841
title: Transcripció literal del grup de discussió amb alumnat

description: Aquest conjunt de dades inclou la transcripció literal completa d'un grup de disussió realitzat en el marc del Treball de Final de Màster Interuniversitari en Psicologia de l'Educació. 

El grup de discussió va ser dissenyat, moderat i transcrit per l'autora com a part del procés de recollida de dades qualitatives, amb l'objectiu d'aprofundir en la vivència d’un grup d’alumnes que han participat en el projecte Identit.art. 

La transcripció ha estat anonimitzada per garantir la confidencialitat de les persones participants i s'utilitza exclusivament amb finalitats de recerca i acadèmiques. 

L’ús d’aquestes dades està subjecte a les condicions de la llicència indicada i no es permet la identificació de les persones participants.
DOI: 10.5281/zenodo.17612997
title: EMERGING E - The Construction of Global Multi-Regional Input-output Model with Green Electricity Disaggregation

description: The EMERGING-E MRIO table in 2018, the MATLAB code for the validation analysis and source data for main figures presented for the paper "EMERGING E - The Construction of Global Multi-Regional Input-output Model with green electricity disaggregation".



The validation Code: Validation_output.m (for Section 2.3); Validation_emission.m (for Section S1.3 and S1.4); EMERGING_E_VS_EMERGING.m (for Section S1.5); MCS.m (for Section S2); Error_propagation.m (for Section S3)

The Figure data: Figure data.xlsx
DOI: 10.5281/zenodo.18303090
title: EMERGING E - The Construction of Global Multi-Regional Input-output Model with Green Electricity Disaggregation

description: The EMERGING-E MRIO table in 2018, the MATLAB code for the validation analysis and source data for main figures presented for the paper "EMERGING E - The Construction of Global Multi-Regional Input-output Model with green electricity disaggregation".



The validation Code: Validation_output.m (for Section 2.3); Validation_emission.m (for Section S1.3 and S1.4); EMERGING_E_VS_EMERGING.m (for Section S1.5); MCS.m (for Section S2); Error_propagation.m (for Section S3)

The Figure data: Figure data.xlsx
DOI: 10.15468/dl.xn3pzd
title: Occurrence Download

description: A dataset containing 22428696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosaceae",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 22428696 records from 6499 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000071-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zck8br
title: Occurrence Download

description: A dataset containing 17475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Actaea rubra (Aiton) Willd.",
 "Year 2019-2024"
 ]
}

 The dataset includes 17475 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011565-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55jfsy
title: Occurrence Download

description: A dataset containing 1148227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fagus sylvatica L."
 ]
}

 The dataset includes 1148227 records from 2244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011538-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4gd7m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tropaeolum majus",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048732-250811113504898/datasets/export for details.
DOI: 10.15468/dl.3w7zjr
title: Occurrence Download

description: A dataset containing 2679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tropaeolum majus",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2679 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048733-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zxhpr
title: Occurrence Download

description: A dataset containing 59636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ginkgo biloba"
 ]
}

 The dataset includes 59636 records from 689 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048615-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22033/esgf/cmip6.10708
title: NOAA-GFDL GFDL-GRTCODE model output prepared for CMIP6 RFMIP rad-irf

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.RFMIP.NOAA-GFDL.GFDL-GRTCODE.rad-irf' 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 GFDL GPU radiative transfer code with two stream solver (March 2019) climate model, released in 2019, was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL). 

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/cmip6.11590
title: NCC NorESM1-F model output prepared for CMIP6 PMIP lig127k

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.PMIP.NCC.NorESM1-F.lig127k' 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 NorESM1-F (a fast version of NorESM that is designed for paleo and multi-ensemble simulations) climate model, released in 2018, includes the following components:
 atmos: CAM4 (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), land: CLM4, 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: HAMOCC5.1, seaIce: CICE4. 
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: atmos: 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/cmip6.11047
title: CAMS CAMS-CSM1.0 model output prepared for CMIP6 ScenarioMIP ssp245

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.CAMS.CAMS-CSM1-0.ssp245' 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 CAMS-CSM 1.0 climate model, released in 2016, includes the following components:
 atmos: ECHAM5_CAMS (T106; 320 x 160 longitude/latitude; 31 levels; top level 10 mb), land: CoLM 1.0, ocean: MOM4 (tripolar; 360 x 200 longitude/latitude, primarily 1deg latitude/longitude, down to 1/3deg within 30deg of the equatorial tropics; 50 levels; top grid cell 0-10 m), seaIce: SIS 1.0. 
The model was run by the Chinese Academy of Meteorological Sciences, Beijing 100081, China (CAMS) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 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/cmip6.8250
title: NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP ssp126

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.NCC.NorESM2-MM.ssp126' 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-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components:
 aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 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: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 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.