cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22033/esgf/cmip6.9719
title: AS-RCEC TaiESM1.0 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.AS-RCEC.TaiESM1.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 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/input4mips.9541
title: input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp126-1-0

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp126-1-0' 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-ssp126-1-0 (UReading-CCMI-ssp126-1-0) 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.9542
title: input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp245-1-0

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp245-1-0' 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-ssp245-1-0 (UReading-CCMI-ssp245-1-0) 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.9543
title: input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp370-1-0

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp370-1-0' 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-ssp370-1-0 (UReading-CCMI-ssp370-1-0) 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.9544
title: input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp585-1-0

description: CMIP6 Forcing Datasets (input4MIPs): These data include all datasets published for 'input4MIPs.CMIP6.ScenarioMIP.UReading.UReading-CCMI-ssp585-1-0' 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-ssp585-1-0 (UReading-CCMI-ssp585-1-0) 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/cmip6.11061
title: MOHC UKESM1.0-LL model output prepared for CMIP6 RFMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.RFMIP.MOHC.UKESM1-0-LL' 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 UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:
 aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). 
The model was run by the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 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: 10.15468/dl.zen59m
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lama glama",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024692-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18119/n9zk6m
title: Figure 5A
DOI: 10.15468/dl.9ypskv
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024691-250802193616735/datasets/export for details.
DOI: 10.15468/dl.m6b67b
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 (Myiothlypis flaveola)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024693-250802193616735/datasets/export for details.
DOI: 10.15468/dl.pztfwh
title: Occurrence Download

description: A dataset containing 1802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus cinctus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1802 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024694-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b75nrn
title: Occurrence Download

description: A dataset containing 763 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus coronulatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 763 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024695-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/91e618f4a45c4d698e161aa10119cc14
title: WesCon: humidity profiles, liquid water paths and integrated water vapour measurement from the Met Office RPG Humpro microwave radiometer at Airfield Camp, Netheravon, v1.0 (20230419-20230919)

description: Data from the Met Office Observation-based research RPG Humpro profiling microwave radiometer deployed at Netheravon, Wiltshire (51.241°N, -1.777°W, 120 m amsl) in southern England during the summer of 2023. Netheravon formed a supersite for the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. The dataset includes retrieved humidity profiles in addition to the liquid water paths and integrated water vapour paths using brightness temperatures measured at seven microwave frequencies between 22.24 and 31.4 GHz (this band in general being sensitive to water vapour and cloud). The liquid and vapour water path retrievals used a supplied neural network algorithm (which is trained with radiosonde data using a radiative transfer scheme). Two archived files are available, based on the time series (water vapour and liquid water) and profile (humidity) data.

To ensure optimal traceability and transparency of data, comprehensive metadata is included.
DOI: 10.15468/dl.ugsnmu
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 (Myiothlypis flaveola)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024696-250802193616735/datasets/export for details.
DOI: 10.48510/fk2/p7hki9
title: The Impact of Advanced Footwear Technolgy on Running Economy and Biomechanics in Elite Long-Distance Runners

description: The dataset represents data obtained within the framework of a study on the impact of different types of running shoes on running economy and biomechanics in elite long-distance runners. The study compares three different types of running shoes: conventional running shoes, track super-spikes, carbon-plated shoes, and barefoot running. The dataset consists of three separate but interrelated Excel files (worksheets) following a unified formatting structure. These files reflect: physiological parametres, running kinematics, and biochemical markers: blood lactate concentration measurements. The dataset's purpose is to analyze the influence of Advanced Footwear Technology on running economy and biomechanical compared to other technology running footwear. The results provide a scientific basis for the impact on Advanced Technology Footwear on running economy and biomechanics in elite long-distance runners and can be used for future research to futher analyze the working mechanisms of Advanced Footwear Technology and its impact on running economy and biomechanics.
DOI: 10.15468/dl.yke54n
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus dohertyi)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 258 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024697-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fq447
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lama glama",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024702-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsmg6x
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024699-250802193616735/datasets/export for details.
DOI: 10.15468/dl.djpa5q
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lama glama",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 79 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024701-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gs39y6
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus eugeniae)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 94 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024700-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-5167
title: Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods

description: This archive contains the Python code and result files corresponding to the paper "Solving Approximation Tasks with Greedy Deep Kernel Methods" and allows to reproduce all numerical experiments.
description: Software requirements and dependencies are listed in the requirements.txt file. For more details we refer to the README.md file
DOI: 10.48510/fk2/8plbvd
title: Stride Frequency Perturbation in Sub-Threshold Running: A Biomechanical and Physiological Dataset

description: The dataset consists of running physiology and biomechanics data. Subjects performed 5 types of runs in total with at an intensity below the anaerobic threshold. The first run was a free run, during which each runner’s natural (preferred) step frequency (cadence) was determined. The next three runs were performed with the metronome - the second run matched the runner's natural (preferred) step frequency (defined by first run). Third and fourth runs while the third and fourth runs were executed at cadences 2% higher and 2% lower than the natural one, respectively. Runners had to match each the signal of metronome with one foot every second step (once per stride). The final (fifth) was again - done freely. The aim of the research was to analyze how changes in running biomechanics, specifically, step frequency influences running economy and efficiency.
DOI: 10.15468/dl.qmzsww
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus gestroi)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024703-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.16759205
title: Orthomosaic and DEM from a UAS survey in Greenland, Narsarsuaq (2018-07-02)

description: Data from an UAS survey with a DJI Mavic Air (camera FC2103: 1/2.3” CMOS, 12 MP, jpg/DNG) in Greenland, Narsarsuaq, 02.07.2018, 15:15-16:15.

Drone pilot, data collector, and contact: Urs A. TreierProject Manager and funding acquisition: Signe Normand

For details see files:RNA04_180702_VIS_DJIMA_Metadata.pdfRNA04_180702_VIS_DJIMA_ProcessingReport.pdf
DOI: 10.5281/zenodo.16759206
title: Orthomosaic and DEM from a UAS survey in Greenland, Narsarsuaq (2018-07-02)

description: Data from an UAS survey with a DJI Mavic Air (camera FC2103: 1/2.3” CMOS, 12 MP, jpg/DNG) in Greenland, Narsarsuaq, 02.07.2018, 15:15-16:15.

Drone pilot, data collector, and contact: Urs A. TreierProject Manager and funding acquisition: Signe Normand

For details see files:RNA04_180702_VIS_DJIMA_Metadata.pdfRNA04_180702_VIS_DJIMA_ProcessingReport.pdf
DOI: 10.15468/dl.qcf72p
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Villaria leytensis"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024704-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25879420
title: Iris in Meta

description: This dataset contains the bibliographic metadata (in Parquet format) included in OpenCitations Meta. In particular, each line of the CSV file defines a bibliographic resource, and includes the following information:<b>[field "id"]</b> the IDs for the document. Can contain either a DOI, a ISBN or a PMID;<b>[field "title"]</b> the document's title;<b>[field "type"]</b> the type of resource described in the row;<b>[field "omid"]</b> the id of the record as referenced in the OpenCitations Meta dataset;<b>[field "iris_id"]</b><b> </b>the id of the record as referenced in the IRIS dataset;This version of the dataset contains:117,764 bibliographic entitiesThe zipped dataset weighs 46,6 MB, while, when extracted, it weighs 131,3 MB.
DOI: 10.6084/m9.figshare.25879420.v3
title: Iris in Meta

description: This dataset contains the bibliographic metadata (in Parquet format) included in OpenCitations Meta. In particular, each line of the CSV file defines a bibliographic resource, and includes the following information:<b>[field "id"]</b> the IDs for the document. Can contain either a DOI, a ISBN or a PMID;<b>[field "title"]</b> the document's title;<b>[field "type"]</b> the type of resource described in the row;<b>[field "omid"]</b> the id of the record as referenced in the OpenCitations Meta dataset;<b>[field "iris_id"]</b><b> </b>the id of the record as referenced in the IRIS dataset;This version of the dataset contains:117,764 bibliographic entitiesThe zipped dataset weighs 46,6 MB, while, when extracted, it weighs 131,3 MB.