cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17755626
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 10m, Global model MPI-ESM1-2-HR, scenario ssp585 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755627
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 10m, Global model MPI-ESM1-2-HR, scenario ssp585 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755649
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario Historical -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755650
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario Historical -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.15468/dl.ez43rd
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100600.0",
 "Country is Spain",
 "Geometry POLYGON((3.86548 42.17944,2.11631 42.62115,0.67834 42.98428,0.09886 42.72673,-2.0259 43.46718,-7.88509 43.8535,-9.30159 43.14524,-8.72211 40.73074,-9.62353 38.67037,-8.85089 38.25186,-9.07624 36.89974,-7.20903 37.0929,-5.79252 36.0949,-5.24523 36.03052,-4.4404 36.67438,-2.28345 36.64219,-1.34984 37.47922,-0.64159 37.5758,-0.31965 38.38063,0.32421 38.73476,-0.19088 39.4752,1.03247 41.05268,2.41678 41.05268,3.86548 42.17944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (0363cbd4-f666-455e-8e86-0bbddcf51950, 8209258a-80e8-4094-aba2-a3febe5ed45b, 6f3ccc65-0a54-4e65-ae7e-13b92d618e7c, 730cd32c-627f-44a8-9d93-fcfb23ade969, cb202839-87c6-456a-821c-dc5b268a200f)",
 "TaxonKey is Senecio pterophorus"
 ]
}

 The dataset includes 47 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020239-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17755666
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario ssp126 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755665
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario ssp126 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.21227/h0s9-1a63
title: "BioDIC-RSA datasets"

description: "BioDIC-RSA datasets"
DOI: 10.5517/ccdc.csd.cc2m2th1
title: CCDC 2415783: Experimental Crystal Structure Determination

description: Related Article: Jing-Cai Zeng, Xuan-Yu Song, Ze-Fan Yao, Yong-Shi Chen, Yu-Chun Xu, Kexiang Zhao, Yi Liu, Jie-Yu Wang, Jian Pei|2025|Angew.Chem.,Int.Ed.|64|e202509971|doi:10.1002/anie.202509971
description: Related Article: Jing-Cai Zeng|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m2tj2
title: CCDC 2415784: Experimental Crystal Structure Determination

description: Related Article: Jing-Cai Zeng, Xuan-Yu Song, Ze-Fan Yao, Yong-Shi Chen, Yu-Chun Xu, Kexiang Zhao, Yi Liu, Jie-Yu Wang, Jian Pei|2025|Angew.Chem.,Int.Ed.|64|e202509971|doi:10.1002/anie.202509971
description: Related Article: Jing-Cai Zeng|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m2tk3
title: CCDC 2415785: Experimental Crystal Structure Determination

description: Related Article: Jing-Cai Zeng, Xuan-Yu Song, Ze-Fan Yao, Yong-Shi Chen, Yu-Chun Xu, Kexiang Zhao, Yi Liu, Jie-Yu Wang, Jian Pei|2025|Angew.Chem.,Int.Ed.|64|e202509971|doi:10.1002/anie.202509971
description: Related Article: Jing-Cai Zeng|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m2tl4
title: CCDC 2415786: Experimental Crystal Structure Determination

description: Related Article: Jing-Cai Zeng, Xuan-Yu Song, Ze-Fan Yao, Yong-Shi Chen, Yu-Chun Xu, Kexiang Zhao, Yi Liu, Jie-Yu Wang, Jian Pei|2025|Angew.Chem.,Int.Ed.|64|e202509971|doi:10.1002/anie.202509971
description: Related Article: Jing-Cai Zeng|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m2tm5
title: CCDC 2415787: Experimental Crystal Structure Determination

description: Related Article: Jing-Cai Zeng, Xuan-Yu Song, Ze-Fan Yao, Yong-Shi Chen, Yu-Chun Xu, Kexiang Zhao, Yi Liu, Jie-Yu Wang, Jian Pei|2025|Angew.Chem.,Int.Ed.|64|e202509971|doi:10.1002/anie.202509971
description: Related Article: Jing-Cai Zeng|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pbstn
title: CCDC 2483032: Experimental Crystal Structure Determination

description: Related Article: xiaojing xie|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.z8cn56
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingOrg is one of (a76f8527-23e8-4ba5-bdff-f9821bdac187)",
 "DatasetKey is one of (The Fungal Collection at the Botanische Staatssammlung München)"
 ]
 },
 "HasGeospatialIssue is false",
 "Geometry POLYGON((6.1496 50.19097,6.08368 50.20855,5.95184 50.20503,5.8255 50.12762,5.71564 49.97596,5.68268 49.86632,5.75409 49.75643,5.84747 49.64273,5.77057 49.55729,5.83099 49.49311,5.94635 49.43956,6.05621 49.42527,6.21002 49.4824,6.3913 49.43241,6.41327 49.51808,6.45721 49.60003,6.5506 49.6854,6.56158 49.81318,6.41327 49.86986,6.29242 49.91586,6.2265 49.98302,6.18256 50.05714,6.20453 50.14171,6.1496 50.19097))"
 ]
}

 The dataset includes 35 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020243-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17755693
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario ssp245 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755694
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario ssp245 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755708
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario ssp370 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755709
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario ssp370 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.15468/dl.vf7afs
title: Occurrence Download

description: A dataset containing 44678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Natrix natrix",
 "Year 2020-2025"
 ]
}

 The dataset includes 44678 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020240-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17755718
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario ssp585 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755717
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model CanESM5, scenario ssp585 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.17026/ar/y7yd1s
title: PAN-00104522 - coin/coin-related, Nero (54-68), as

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00104522&lt;/p&gt;
description: Modified: 2025-04-28T12:00:38+02:00
DOI: 10.5281/zenodo.17755733
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model EC-EARTH3 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755732
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2000m, Global model EC-EARTH3 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755750
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario Historical -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755749
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario Historical -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755761
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario ssp126 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755762
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario ssp126 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755780
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario ssp245 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755781
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario ssp245 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.21227/xpe5-ws66
title: "Terahertz Absorption Spectroscopy Dataset for Breast, Blood and Skin Cancer "

description: "The dataset has been generated using terahertz absorption spectroscopy. The reflection absorption data were obtained from terahertz metamaterials on top of which the cells are placed. Each row in the file corresponds to the absorption spectrum obtained from one specimen. The last column is about the specimen label.  The dataset contains 1,512 different observations, each with 1,001 absorption data points for various types of cells. The 1512 observations made were for varying specimen sizes and for six different types of cells. "
DOI: 10.6084/m9.figshare.30751484
title: 校企合作地域性研究数据1(1)

description: 校企合作地域性研究数据
DOI: 10.6084/m9.figshare.30751484.v1
title: 校企合作地域性研究数据1(1)

description: 校企合作地域性研究数据
DOI: 10.5281/zenodo.17755794
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario ssp370 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755793
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario ssp370 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755815
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario ssp585 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755816
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 2m, Global model CanESM5, scenario ssp585 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.