cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rz332w
title: Occurrence Download

description: A dataset containing 26501 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pilidiophora"
 ]
}

 The dataset includes 26501 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011257-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60905/t80757
title: T1_E14 Macu parte 2. Una breve historia sobre Puerto Resistencia: or��genes, cotidianidad en el Paro y encuentro de la diversidad en el Oriente de Cali

description: &lt;p&gt;Entrevista a Macu realizada el 21/05/2021, esta segunda parte continua en el oriente Cali, en Puerto Resistencia, donde concluiremos este itinerario escuchando c��mo ha vivido desde all�� el encuentro con la nueva cotidianidad que se ha establecido a partir del Paro Nacional y un recuento de las diversas maneras en que se vienen expresando la diversidad cultural, ��tnica y sexual y de g��nero que all�� est��n confluyendo.&lt;/p&gt;
description: Puerto Resistencia es el punto donde confluyen muchos sectores sociales y toda la diversidad durante el Paro Nacional.<br>Inicio y ascenso de la Paro Nacional #28A. 28 de abril al 28 de julio de 2021
DOI: 10.17632/fn6tfzzx85
title: Geochemical and mineralogical evolution of cerium during chemical weathering: A field study on Huangshe ion-adsorption type rare earth deposit in South China

description: This data contains in situ electron probe micro analyses (EPM) and sequential extraction results.
DOI: 10.15468/dl.c2s8tq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia serpens",
 "Country is Sao Tome and Principe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080950-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fn6tfzzx85.1
title: Geochemical and mineralogical evolution of cerium during chemical weathering: A field study on Huangshe ion-adsorption type rare earth deposit in South China

description: This data contains in situ electron probe micro analyses (EPM) and sequential extraction results.
DOI: 10.17632/dndjhrddk2
title: Kalincuang of Uncaria gambir as antihypertensive and antioxidant

description: This dataset accompanies the manuscript titled “Antihypertensive and Antioxidant Potential of ‘Kalincuang’, a Liquid By-product of Gambier (Uncaria gambir), in a Rat Model of Hypertension.” It contains supporting data from a preclinical study investigating the effects of freeze-dried Kalincuang on blood pressure regulation and oxidative stress in a rat model of induced hypertension. The dataset includes information on the preparation and standardization of Kalincuang, including its phenolic and catechin content as well as antioxidant capacity assessed via DPPH assay. Experimental data encompass hemodynamic parameters such as systolic and diastolic blood pressure, mean arterial pressure, heart rate, pulse pressure, blood flow, and blood volume, recorded at multiple time points during treatment. Biochemical data on plasma nitric oxide and malondialdehyde levels are also included to assess oxidative status. Rats were divided into groups receiving various doses of Kalincuang, alongside control groups treated with either captopril or vehicle. Statistical analyses are provided to evaluate the effects of treatment over time and across doses
DOI: 10.17632/dndjhrddk2.1
title: Kalincuang of Uncaria gambir as antihypertensive and antioxidant

description: This dataset accompanies the manuscript titled “Antihypertensive and Antioxidant Potential of ‘Kalincuang’, a Liquid By-product of Gambier (Uncaria gambir), in a Rat Model of Hypertension.” It contains supporting data from a preclinical study investigating the effects of freeze-dried Kalincuang on blood pressure regulation and oxidative stress in a rat model of induced hypertension. The dataset includes information on the preparation and standardization of Kalincuang, including its phenolic and catechin content as well as antioxidant capacity assessed via DPPH assay. Experimental data encompass hemodynamic parameters such as systolic and diastolic blood pressure, mean arterial pressure, heart rate, pulse pressure, blood flow, and blood volume, recorded at multiple time points during treatment. Biochemical data on plasma nitric oxide and malondialdehyde levels are also included to assess oxidative status. Rats were divided into groups receiving various doses of Kalincuang, alongside control groups treated with either captopril or vehicle. Statistical analyses are provided to evaluate the effects of treatment over time and across doses
DOI: 10.17632/879t6ngzyp
title: English Pronunciation Self-efficacy Scale: Development and Validation

description: dataset for English pronunciation self-efficacy
DOI: 10.17632/879t6ngzyp.1
title: English Pronunciation Self-efficacy Scale: Development and Validation

description: dataset for English pronunciation self-efficacy
DOI: 10.17632/p29bhhrhkb
title: Dataset: A Bibliometric Collection of Early Childhood Creativity Research (1962–2024)

description: This dataset contains the bibliographic records of 449 documents on early childhood creativity (ECC), retrieved from the Scopus database for the period of 1962 to January 2024. The collection represents the empirical foundation for the bibliometric analysis, "From Psychometrics to Playful Pixels: A Bibliometric Cartography of Early Childhood Creativity Research (1962–2024)." This dataset provides a structured overview of the field, allowing for detailed analysis of publication trends, collaboration networks, and the underlying intellectual structure of ECC research.

Data collection was performed on January 26, 2024, using a targeted search query in the 'Article Title' field to increase thematic relevance. The query was constructed around two main concepts. The first, 'early childhood,' included the terms "early childhood," "young child*," "early years," "preschool*," "kindergarten*," and "nursery school." The second concept, 'creativity,' used the terms "creativ*" and "divergent thinking." Terms within each conceptual group were combined with the 'OR' operator, and the two groups were linked using the 'AND' operator.

The initial search returned 455 records. These were screened for inclusion based on three criteria: a direct relevance to creativity, a focus on the early childhood period (0–6 years), and publication as a journal article or review. The search was restricted to documents in English. This screening process resulted in a final corpus of 449 documents. All bibliographic data, including author names and institutional affiliations, were subsequently reviewed for accuracy.

The dataset is available in CSV format and includes extensive bibliographic metadata, such as author names, institutional affiliations, publication years, citation counts, and author keywords. It is structured for direct use with bibliometric software, including VOSviewer and the Bibliometrix R package (via Biblioshiny), to support the replication or extension of the original study’s performance analysis and science mapping. The data present a valuable resource for scholars investigating the development of ECC research.
DOI: 10.17632/p29bhhrhkb.1
title: Dataset: A Bibliometric Collection of Early Childhood Creativity Research (1962–2024)

description: This dataset contains the bibliographic records of 449 documents on early childhood creativity (ECC), retrieved from the Scopus database for the period of 1962 to January 2024. The collection represents the empirical foundation for the bibliometric analysis, "From Psychometrics to Playful Pixels: A Bibliometric Cartography of Early Childhood Creativity Research (1962–2024)." This dataset provides a structured overview of the field, allowing for detailed analysis of publication trends, collaboration networks, and the underlying intellectual structure of ECC research.

Data collection was performed on January 26, 2024, using a targeted search query in the 'Article Title' field to increase thematic relevance. The query was constructed around two main concepts. The first, 'early childhood,' included the terms "early childhood," "young child*," "early years," "preschool*," "kindergarten*," and "nursery school." The second concept, 'creativity,' used the terms "creativ*" and "divergent thinking." Terms within each conceptual group were combined with the 'OR' operator, and the two groups were linked using the 'AND' operator.

The initial search returned 455 records. These were screened for inclusion based on three criteria: a direct relevance to creativity, a focus on the early childhood period (0–6 years), and publication as a journal article or review. The search was restricted to documents in English. This screening process resulted in a final corpus of 449 documents. All bibliographic data, including author names and institutional affiliations, were subsequently reviewed for accuracy.

The dataset is available in CSV format and includes extensive bibliographic metadata, such as author names, institutional affiliations, publication years, citation counts, and author keywords. It is structured for direct use with bibliometric software, including VOSviewer and the Bibliometrix R package (via Biblioshiny), to support the replication or extension of the original study’s performance analysis and science mapping. The data present a valuable resource for scholars investigating the development of ECC research.
DOI: 10.15468/dl.48y4ff
title: Occurrence Download

description: A dataset containing 110774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Fulica armillata)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 110774 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080920-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bx6ub
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Cophyla tuberifera)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082055-250717081556266/datasets/export for details.
DOI: 10.22033/esgf/cmip6.11656
title: NASA-GISS GISS-E2-1-G-CC model output prepared for CMIP6 C4MIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.C4MIP.NASA-GISS.GISS-E2-1-G-CC' 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 GISS-E2-1-G-CC climate model, released in 2019, includes the following components:
 aerosol: varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2 x 2.5 degrees; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: varies with physics-version (p==1 Non-interactive, p&gt;1 GPUCCINI), land: GISS LSM, landIce: Fixed, ocean: GISS Ocean (1 deg; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10m), ocnBgchem: NOBM (NASA Ocean Biogeochemistry Model; same grid as ocean), seaIce: GISS SI (same grid as ocean). 
The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) 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/cmip6.9744
title: AS-RCEC TaiESM1.0 model output prepared for CMIP6 AerChemMIP hist-piNTCF

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.AS-RCEC.TaiESM1.hist-piNTCF' 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 Taiwan Earth System Model 1.0 climate model, released in 2018, includes the following components:
 aerosol: SNAP (same grid as atmos), atmos: TaiAM1 (0.9x1.25 degree; 288 x 192 longitude/latitude; 30 levels; top level ~2 hPa), atmosChem: SNAP (same grid as atmos), land: CLM4.0 (same grid as atmos), ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4. 
The model was run by the Research Center for Environmental Changes, Academia Sinica, Nankang, Taipei 11529, Taiwan (AS-RCEC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 100 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/cmip6.9747
title: AS-RCEC TaiESM1.0 model output prepared for CMIP6 AerChemMIP histSST

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.AS-RCEC.TaiESM1.histSST' 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 Taiwan Earth System Model 1.0 climate model, released in 2018, includes the following components:
 aerosol: SNAP (same grid as atmos), atmos: TaiAM1 (0.9x1.25 degree; 288 x 192 longitude/latitude; 30 levels; top level ~2 hPa), atmosChem: SNAP (same grid as atmos), land: CLM4.0 (same grid as atmos), ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4. 
The model was run by the Research Center for Environmental Changes, Academia Sinica, Nankang, Taipei 11529, Taiwan (AS-RCEC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 100 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/cmip6.11671
title: NASA-GISS GISS-E2-2-G model output prepared for CMIP6 ScenarioMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.NASA-GISS.GISS-E2-2-G' 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 GISS-E2-2-G climate model, released in 2019, includes the following components:
 aerosol: varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.2 (High-top, 2 x 2.5 degrees; 144 x 90 longitude/latitude; 102 levels; top level 0.002 hPa), atmosChem: varies with physics-version (p==1 Non-interactive, p&gt;1 GPUCCINI), land: GISS LSM, landIce: Fixed, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10m), seaIce: GISS SI. 
The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 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: 10.6084/m9.figshare.29154713.v1
title: interparlo.pdf

description: A book to understand the foundations of science and philosophy in Esperanto in the form of a simple story<br>
DOI: 10.22033/esgf/input4mips.11677
title: input4MIPs.CMIP6.PAMIP.UCI.UCI-pi-prArctic-prAntarctic-1-1

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.PAMIP.UCI.UCI-pi-prArctic-prAntarctic-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 UCI-pi-prArctic-prAntarctic-1-1 (UCI-pi-prArctic-prAntarctic-1-1) was run by the UCI (UCI) 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 .