cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4b5j4vrfd4.1
title: VoicePermissionRequest_SupplementaryMaterial

description: This is the supplementary material for the paper "Exploring the Impact of Modality and Speech Rate Manipulation in Voice Permission Requests - Limits of Applicability and Potential for Influencing Decision-Making" 

It contains: 
- Full Protocol.pdf contains the full protocol for Study 1 and Study 2 including the questionnaires
- Supplementary statistics (correlation table and regression models).xlsx
- Study1AudioFiles contains audio files for the three different applications and intrusiveness levels for Study 1 
- Study2Stage1AudioFiles contains audio files used in the listening tests to determine the suitable manipulations in speech rate
- Study2Stage2AudioFiles contains audio files used in Study 2, using three different levels of intrusiveness and manipulations.
DOI: 10.15468/dl.rbdxdu
title: Occurrence Download

description: A dataset containing 387492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ranunculus flammula"
 ]
}

 The dataset includes 387492 records from 1820 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080820-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i20356609v18i1p176
title: What Measures for What Politics? Gender-Based Violence Protection and the RDL Policy Gap for Women in Italy (2021-2024)

description: All forms of gender-based violence (GBV), particularly intimate partner violence (IPV), have intensified with the onset of the pandemic, partly because of closures associated with Covid 19. The pandemic has brought into sharper focus the link between GBV/IPV and economic or livelihood deprivation, highlighting that shelters and helplines for women are necessary but insufficient. The picture is even bleaker for immigrant women. The Italian case is very interesting. The government's decision to adopt a measure to protect women victims of domestic violence, the Reddito di Libertà (RDL) policy, during the pandemic was undeniably innovative, even if a few years later it shows limitations. This article examines GBV from an intersectional perspective and attempts to assess the coverage capacity of the RDL policy among Italian and foreign women living in Italy who are victims of IPV. The findings highlight how the RDL policy seems to have been designed more to manage emergencies than to effectively address GBV. Highlighting the selectivity in the application of the policy, the article concludes by arguing that it is necessary to consider the structural intersectionality that GBV feeds on to plan a more effective and inclusive policy strategy.
DOI: 10.15468/dl.7mzg5j
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lomatium sandbergii (J.M.Coult. & Rose) J.M.Coult. & Rose"
 ]
}

 The dataset includes 378 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013049-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcw3l3
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008266-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxnw2p
title: Occurrence Download

description: A dataset containing 38681491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 38681491 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124878-210914110416597/datasets/export for details.
DOI: 10.15468/dl.tsnrnd
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086024-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fp66h3
title: Occurrence Download

description: A dataset containing 4667443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Chinese Taipei",
 "Year 2020-2023"
 ]
}

 The dataset includes 4667443 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013062-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmeruq
title: Occurrence Download

description: A dataset containing 162212282 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Tracheophyta",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 162212282 records from 2383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009941-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22033/esgf/input4mips.10381
title: input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp119-1-1

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp119-1-1' with the full Data Reference Syntax following the template 'activity_id.mip_era.target_mip.institution_id.source_id.realm.frequency.variable_id.grid_label'.
 
 The model UReading-CCMI-ssp119-1-1 (UReading-CCMI-ssp119-1-1) was run by the UReading (UReading) in native nominal resolutions: unknown. 

Project: The forcing datasets (and boundary conditions) needed for CMIP6 experiments are being prepared by a number of different experts. Initially many of these datasets may only be available from those experts, but over time as part of the 'input4MIPs' activity most of them will be archived by PCMDI and served by the Earth System Grid Federation (https://esgf-node.llnl.gov/search/input4mips/ ). More information is available in the living document: http://goo.gl/r8up31 .
DOI: 10.22033/esgf/input4mips.10382
title: input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp434-1-1

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp434-1-1' with the full Data Reference Syntax following the template 'activity_id.mip_era.target_mip.institution_id.source_id.realm.frequency.variable_id.grid_label'.
 
 The model UReading-CCMI-ssp434-1-1 (UReading-CCMI-ssp434-1-1) was run by the UReading (UReading) in native nominal resolutions: unknown. 

Project: The forcing datasets (and boundary conditions) needed for CMIP6 experiments are being prepared by a number of different experts. Initially many of these datasets may only be available from those experts, but over time as part of the 'input4MIPs' activity most of them will be archived by PCMDI and served by the Earth System Grid Federation (https://esgf-node.llnl.gov/search/input4mips/ ). More information is available in the living document: http://goo.gl/r8up31 .
DOI: 10.22033/esgf/input4mips.10383
title: input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp460-1-1

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp460-1-1' with the full Data Reference Syntax following the template 'activity_id.mip_era.target_mip.institution_id.source_id.realm.frequency.variable_id.grid_label'.
 
 The model UReading-CCMI-ssp460-1-1 (UReading-CCMI-ssp460-1-1) was run by the UReading (UReading) in native nominal resolutions: unknown. 

Project: The forcing datasets (and boundary conditions) needed for CMIP6 experiments are being prepared by a number of different experts. Initially many of these datasets may only be available from those experts, but over time as part of the 'input4MIPs' activity most of them will be archived by PCMDI and served by the Earth System Grid Federation (https://esgf-node.llnl.gov/search/input4mips/ ). More information is available in the living document: http://goo.gl/r8up31 .
DOI: 10.22033/esgf/input4mips.10384
title: input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp534os-1-1

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp534os-1-1' with the full Data Reference Syntax following the template 'activity_id.mip_era.target_mip.institution_id.source_id.realm.frequency.variable_id.grid_label'.
 
 The model UReading-CCMI-ssp534os-1-1 (UReading-CCMI-ssp534os-1-1) was run by the UReading (UReading) in native nominal resolutions: unknown. 

Project: The forcing datasets (and boundary conditions) needed for CMIP6 experiments are being prepared by a number of different experts. Initially many of these datasets may only be available from those experts, but over time as part of the 'input4MIPs' activity most of them will be archived by PCMDI and served by the Earth System Grid Federation (https://esgf-node.llnl.gov/search/input4mips/ ). More information is available in the living document: http://goo.gl/r8up31 .
DOI: 10.22033/esgf/input4mips.11261
title: input4MIPs.CMIP6.CMIP.UofMD.UofMD-landState-high-2-1-h

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.CMIP.UofMD.UofMD-landState-high-2-1-h' with the full Data Reference Syntax following the template 'activity_id.mip_era.target_mip.institution_id.source_id.realm.frequency.variable_id.grid_label'.
 
 The model UofMD-landState-high-2-1-h (UofMD-landState-high-2-1-h) was run by the UofMD (UofMD) in native nominal resolutions: unknown. 

Project: The forcing datasets (and boundary conditions) needed for CMIP6 experiments are being prepared by a number of different experts. Initially many of these datasets may only be available from those experts, but over time as part of the 'input4MIPs' activity most of them will be archived by PCMDI and served by the Earth System Grid Federation (https://esgf-node.llnl.gov/search/input4mips/ ). More information is available in the living document: http://goo.gl/r8up31 .
DOI: 10.22033/esgf/input4mips.11262
title: input4MIPs.CMIP6.CMIP.UofMD.UofMD-landState-low-2-1-h

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.CMIP.UofMD.UofMD-landState-low-2-1-h' with the full Data Reference Syntax following the template 'activity_id.mip_era.target_mip.institution_id.source_id.realm.frequency.variable_id.grid_label'.
 
 The model UofMD-landState-low-2-1-h (UofMD-landState-low-2-1-h) was run by the UofMD (UofMD) in native nominal resolutions: unknown. 

Project: The forcing datasets (and boundary conditions) needed for CMIP6 experiments are being prepared by a number of different experts. Initially many of these datasets may only be available from those experts, but over time as part of the 'input4MIPs' activity most of them will be archived by PCMDI and served by the Earth System Grid Federation (https://esgf-node.llnl.gov/search/input4mips/ ). More information is available in the living document: http://goo.gl/r8up31 .
DOI: 10.22033/esgf/cmip6.8801
title: THU CIESM model output prepared for CMIP6 CMIP 1pctCO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.THU.CIESM.1pctCO2' 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 Community Integrated Earth System Model climate model, released in 2017, includes the following components:
 aerosol: MAM4, atmos: CIESM-AM (FV/FD; 288 x 192 longitude/latitude; 30 levels; top level 2.255 hPa), atmosChem: trop_mam4, land: CIESM-LM (modified CLM4.5), ocean: CIESM-OM (FD, SCCGrid Displaced Pole; 720 x 560 longitude/latitude; 46 levels; top grid cell 0-6 m), seaIce: CICE4. 
The model was run by the Department of Earth System Science, Tsinghua University, Beijing 100084, China (THU) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 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/cmip6.8807
title: THU CIESM model output prepared for CMIP6 CMIP abrupt-4xCO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.THU.CIESM.abrupt-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 Community Integrated Earth System Model climate model, released in 2017, includes the following components:
 aerosol: MAM4, atmos: CIESM-AM (FV/FD; 288 x 192 longitude/latitude; 30 levels; top level 2.255 hPa), atmosChem: trop_mam4, land: CIESM-LM (modified CLM4.5), ocean: CIESM-OM (FD, SCCGrid Displaced Pole; 720 x 560 longitude/latitude; 46 levels; top grid cell 0-6 m), seaIce: CICE4. 
The model was run by the Department of Earth System Science, Tsinghua University, Beijing 100084, China (THU) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 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/cmip6.8810
title: THU CIESM model output prepared for CMIP6 CMIP amip

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.THU.CIESM.amip' 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 Community Integrated Earth System Model climate model, released in 2017, includes the following components:
 aerosol: MAM4, atmos: CIESM-AM (FV/FD; 288 x 192 longitude/latitude; 30 levels; top level 2.255 hPa), atmosChem: trop_mam4, land: CIESM-LM (modified CLM4.5), ocean: CIESM-OM (FD, SCCGrid Displaced Pole; 720 x 560 longitude/latitude; 46 levels; top grid cell 0-6 m), seaIce: CICE4. 
The model was run by the Department of Earth System Science, Tsinghua University, Beijing 100084, China (THU) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 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/cmip6.8816
title: THU CIESM model output prepared for CMIP6 GMMIP amip-hist

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.GMMIP.THU.CIESM.amip-hist' 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 Community Integrated Earth System Model climate model, released in 2017, includes the following components:
 aerosol: MAM4, atmos: CIESM-AM (FV/FD; 288 x 192 longitude/latitude; 30 levels; top level 2.255 hPa), atmosChem: trop_mam4, land: CIESM-LM (modified CLM4.5), ocean: CIESM-OM (FD, SCCGrid Displaced Pole; 720 x 560 longitude/latitude; 46 levels; top grid cell 0-6 m), seaIce: CICE4. 
The model was run by the Department of Earth System Science, Tsinghua University, Beijing 100084, China (THU) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 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.