cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22033/esgf/cmip6.11241
title: KIOST KIOST-ESM model output prepared for CMIP6 ScenarioMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.KIOST.KIOST-ESM' 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 KIOST Earth System Model v2 climate model, released in 2018, includes the following components:
 atmos: GFDL-AM2.0 (cubed sphere (C48); 192 x 96 longitude/latitude; 32 vertical levels; top level 2 hPa), atmosChem: Simple carbon aerosol model (emission type), land: NCAR-CLM4, landIce: NCAR-CLM4, ocean: GFDL-MOM5.0 (tripolar - nominal 1.0 deg; 360 x 200 longitude/latitude; 52 levels; top grid cell 0-2 m; NK mixed layer scheme), ocnBgchem: TOPAZ2, seaIce: GFDL-SIS. 
The model was run by the Korea Institute of Ocean Science and Technology, Busan 49111, Republic of Korea (KIOST) in native nominal resolutions: 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/cmip6.13581
title: IPSL IPSL-CM6A-LR-INCA model output prepared for CMIP6 AerChemMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.IPSL.IPSL-CM6A-LR-INCA' 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 IPSL-CM6A-LR-INCA climate model, released in 2019, includes the following components:
 aerosol: INCA v6 AER, atmos: LMDZ (NPv6 ; 144 x 143 longitude/latitude; 79 levels; top level 80000 m), land: ORCHIDEE (v2.0, Water/Carbon/Energy mode), ocean: NEMO-OPA (eORCA1.3, tripolar primarily 1deg; 362 x 332 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: NEMO-PISCES, seaIce: NEMO-LIM3. 
The model was run by the Institut Pierre Simon Laplace, Paris 75252, France (IPSL) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

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

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

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.3609
title: CCCma CanESM5 model output prepared for CMIP6 DAMIP hist-volc

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.DAMIP.CCCma.CanESM5.hist-volc' 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 CanESM5 climate model, released in 2019, includes the following components:
 aerosol: interactive, atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. 
The model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 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/cmip6.8686
title: NOAA-GFDL GFDL-ESM4 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.NOAA-GFDL.GFDL-ESM4.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 GFDL-ESM4 climate model, released in 2018, includes the following components:
 aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories). 
The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 50 km, ocnBgchem: 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: 10.5281/zenodo.15541518
title: Supplementary Table 1
DOI: 10.5281/zenodo.15542968
title: Supplementary Table 1
DOI: 10.15468/dl.czncpy
title: Occurrence Download

description: A dataset containing 2109 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.648 2.191179, 103.577686 2.185611, 103.509105 2.169043, 103.443947 2.141883, 103.383816 2.104801, 103.330195 2.058711, 103.284404 2.004748, 103.247569 1.944241, 103.220598 1.878681, 103.204152 1.809683, 103.198637 1.738946, 103.204185 1.668212, 103.220661 1.599221, 103.247656 1.533673, 103.284506 1.473181, 103.330302 1.419234, 103.383918 1.37316, 103.444033 1.336093, 103.509168 1.308945, 103.577719 1.292384, 103.648 1.286818, 103.718281 1.292384, 103.786832 1.308945, 103.851967 1.336093, 103.912082 1.37316, 103.965698 1.419234, 104.011494 1.473181, 104.048344 1.533673, 104.075339 1.599221, 104.091815 1.668212, 104.097363 1.738946, 104.091848 1.809683, 104.075402 1.878681, 104.048431 1.944241, 104.011596 2.004748, 103.965805 2.058711, 103.912184 2.104801, 103.852053 2.141883, 103.786895 2.169043, 103.718314 2.185611, 103.648 2.191179))"},{"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 2109 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000148-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18303227
title: Rapistrum rugosum (L.) All. 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.18303228
title: Rapistrum rugosum (L.) All. 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.scy8n2
title: Occurrence Download

description: A dataset containing 4305 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 1960",
 "Year is less than or equal to 1964"
 ]
}

 The dataset includes 4305 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000151-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wt43hv
title: Occurrence Download

description: A dataset containing 9420 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phragmites communis"
 ]
}

 The dataset includes 9420 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000147-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sarx5m
title: Occurrence Download

description: A dataset containing 11773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lamna nasus"
 ]
}

 The dataset includes 11773 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000152-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5rs2tykzj9.1
title: CHB_open_dataset_items_deidentified

description: This dataset contains de-identified, item-level online survey responses from 466 adolescents and emerging adults (ages 12–26) collected to examine whether social isolation is associated with stress coping, whether this relationship is mediated by negative emotions, and whether social media use intensity buffers the negative link between negative emotions and coping (i.e., a moderated mediation framework), with an additional exploratory focus on a potential inverted U-shaped association between daily social media time and coping. The file includes coarsened demographics (e.g., gender, age group, education group, region group, urban/rural), social media behavior indicators (e.g., multi-platform use, preferred platform indicators, friends category, daily time category), and item-level scores for four scales: Social Isolation (6 items), Negative Emotions/DASS-21 (21 items), Social Media Use Intensity (6 items), and Coping Style (20 items; positive and negative coping), along with computed construct scores (e.g., SI, NE_mean, SMU, SCP, SCN, and an overall coping index SC) documented in the codebook for reproducibility. To protect participant privacy (including minors), fine-grained geographic identifiers and open-text fields are excluded and key demographic variables are aggregated; the dataset is suitable for reproducing the reported models (e.g., moderated mediation via regression/PROCESS-equivalent methods), conducting psychometric checks, and performing secondary analyses of digital media use, emotion, and coping processes.
DOI: 10.5281/zenodo.18303240
title: Raulinoreitzia R.M.King & H.Rob. 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: 10.17632/d6jv47y4gw
title: Refining Crude SiC Nanowires for Highly Efficient Nitroarene Reduction

description: A stepwise purification strategy (high-temperature oxidation → HF etching → H₂ reduction) can systematically remove carbon (Cₓ), silicon (Siₓ), and oxygen (Oₓ) impurities from coarse SiC nanowires, thereby significantly enhancing their performance as a Pd catalyst support.
Characterization Data: XRD/FT-IR/XPS/BET/FE-SEM/TEM
Catalytic Performance Test Data
Reaction System: Continuous flow fixed-bed reactor, reduction of 4-nitrophenol (4-NP) to 4-aminophenol (4-AP)
Test Conditions: 0.2 mM 4-NP, 10 mM NaBH₄, flow rate 15 mL/min, catalyst 5 mg
Monitoring Method: Online UV-Vis spectroscopy to monitor absorbance changes at 400 nm in real time
Performance Indicators: Conversion (Con.%), Selectivity (Sel.%), Yield (%)
DFT Calculations: PWmat software, PBE functional, study of the adsorption behavior and reaction pathways of 4-NP on different surfaces
DOI: 10.5281/zenodo.18303239
title: Raulinoreitzia R.M.King & H.Rob. 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: 10.17632/d6jv47y4gw.1
title: Refining Crude SiC Nanowires for Highly Efficient Nitroarene Reduction

description: A stepwise purification strategy (high-temperature oxidation → HF etching → H₂ reduction) can systematically remove carbon (Cₓ), silicon (Siₓ), and oxygen (Oₓ) impurities from coarse SiC nanowires, thereby significantly enhancing their performance as a Pd catalyst support.
Characterization Data: XRD/FT-IR/XPS/BET/FE-SEM/TEM
Catalytic Performance Test Data
Reaction System: Continuous flow fixed-bed reactor, reduction of 4-nitrophenol (4-NP) to 4-aminophenol (4-AP)
Test Conditions: 0.2 mM 4-NP, 10 mM NaBH₄, flow rate 15 mL/min, catalyst 5 mg
Monitoring Method: Online UV-Vis spectroscopy to monitor absorbance changes at 400 nm in real time
Performance Indicators: Conversion (Con.%), Selectivity (Sel.%), Yield (%)
DFT Calculations: PWmat software, PBE functional, study of the adsorption behavior and reaction pathways of 4-NP on different surfaces
DOI: 10.17632/pyyjfthc84
title: AN EMPIRICAL STUDY OF UTAUT MODEL ON THE ADOPTION OF AI TECHNOLOGIES IN VIETNAMESE HIGHER EDUCATION

description: This dataset supports an empirical study examining factors influencing the adoption of AI technologies in Vietnamese higher education. Guided by an integrated framework based on UTAUT, TAM, and Perceived Organizational Support (POS), the study tests whether performance expectancy, effort expectancy, social influence, facilitating conditions, perceived usefulness, perceived ease of use, and organizational support predict users’ intention to adopt AI technologies.

The data consist of anonymised survey responses collected online from participants affiliated with Vietnamese universities, including students and academic staff. Questionnaire items were adapted from validated technology acceptance scales and measured using Likert-type responses.

Results indicate that perceived usefulness, ease of use, performance expectancy, and organizational support significantly influence positive attitudes and behavioural intention toward AI adoption. The dataset can be reused for replication studies, comparative research, or further modelling of technology adoption in higher education contexts.
DOI: 10.17632/pyyjfthc84.1
title: AN EMPIRICAL STUDY OF UTAUT MODEL ON THE ADOPTION OF AI TECHNOLOGIES IN VIETNAMESE HIGHER EDUCATION

description: This dataset supports an empirical study examining factors influencing the adoption of AI technologies in Vietnamese higher education. Guided by an integrated framework based on UTAUT, TAM, and Perceived Organizational Support (POS), the study tests whether performance expectancy, effort expectancy, social influence, facilitating conditions, perceived usefulness, perceived ease of use, and organizational support predict users’ intention to adopt AI technologies.

The data consist of anonymised survey responses collected online from participants affiliated with Vietnamese universities, including students and academic staff. Questionnaire items were adapted from validated technology acceptance scales and measured using Likert-type responses.

Results indicate that perceived usefulness, ease of use, performance expectancy, and organizational support significantly influence positive attitudes and behavioural intention toward AI adoption. The dataset can be reused for replication studies, comparative research, or further modelling of technology adoption in higher education contexts.
DOI: 10.17632/m74g9dw5y8
title: LLM Research-Related Data

description: Indicator data related to the research on predicting the risk of major adverse cardiovascular events (MACEs) within one year in patients with acute coronary syndrome (ACS) using large language models (LLMs), based on the 29 variables recommended in the guidelines
DOI: 10.17632/m74g9dw5y8.1
title: LLM Research-Related Data

description: Indicator data related to the research on predicting the risk of major adverse cardiovascular events (MACEs) within one year in patients with acute coronary syndrome (ACS) using large language models (LLMs), based on the 29 variables recommended in the guidelines
DOI: 10.15468/dl.6x2779
title: Occurrence Download

description: A dataset containing 712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cytisus scoparius, Sarothamnus vulgaris, Sarothamnus scoparius, Sarothamnus scoparius)",
 "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 712 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000154-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vzhswv5b9g
title: Plasma Olink proteomics for tuberculosis progression biomarkers

description: This dataset contains plasma proteomics measured with the Olink Target 96 Inflammation and Target 96 Metabolism panels to evaluate biomarkers of progression from latent tuberculosis infection to active tuberculosis (TB). Participants were close contacts of pulmonary TB patients in a university outbreak cohort and were followed for two years. Olink assays were performed on plasma from 17 progressors who developed active TB during follow-up, 28 IGRA-positive non-progressors, and 33 IGRA-negative healthy controls who remained disease-free during the two-year follow-up.
DOI: 10.5281/zenodo.15696463
title: NMR and MS dataset for project: Manool disarms Streptococcus mutans by targeting ABC transporters

description: This dataset contains NMR and MS raw data for analysing glucose, glycolysis products, amino acids consumption and kanamycin levels in Streptococcus mutans culture supernants before and after treatment with the diterpene manool.