cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17754111
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 2000m, Global model EC-EARTH3, 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.17754126
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 2000m, Global model EC-EARTH3, 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.17754127
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 2000m, Global model EC-EARTH3, 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: 10.25781/n3af-np78
title: 10,000 Rice Genome Project
DOI: 10.5281/zenodo.17754152
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, Global model EC-EARTH3, 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.17754151
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, Global model EC-EARTH3, 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.17754181
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, Global model EC-EARTH3, 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.17754180
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, Global model EC-EARTH3, 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.17769291
title: Data for "High Temperature Superconductivity Dominated by Inner Underdoped CuO2 Planes in Quadruple-Layer Cuprate (Cu,C)Ba2Ca3Cu4O11+delta"

description: This dataset is for the research article "High Temperature Superconductivity Dominated by Inner Underdoped CuO2 Planes in Quadruple-Layer Cuprate (Cu,C)Ba2Ca3Cu4O11+delta."
DOI: 10.5281/zenodo.17769290
title: Data for "High Temperature Superconductivity Dominated by Inner Underdoped CuO2 Planes in Quadruple-Layer Cuprate (Cu,C)Ba2Ca3Cu4O11+delta"

description: This dataset is for the research article "High Temperature Superconductivity Dominated by Inner Underdoped CuO2 Planes in Quadruple-Layer Cuprate (Cu,C)Ba2Ca3Cu4O11+delta."
DOI: 10.5281/zenodo.17708203
title: WP2 - Brussels Campaign - RMI

description: Dataset containing all measurements from KMI-IRM during the 2nd Euramet Biosphere measurement campaign. 

For more information about those datasets, consult the ReadME.txt files.

Project: 21GRD02 BIOSPHERE The project (21GRD02 BIOSPHERE) has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funded by the European Union.
DOI: 10.5281/zenodo.17708204
title: WP2 - Brussels Campaign - RMI

description: Dataset containing all measurements from KMI-IRM during the 2nd Euramet Biosphere measurement campaign. 

For more information about those datasets, consult the ReadME.txt files.

Project: 21GRD02 BIOSPHERE The project (21GRD02 BIOSPHERE) has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funded by the European Union.
DOI: 10.5281/zenodo.17754220
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, Global model MPI-ESM1-2-HR, 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.17754219
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, Global model MPI-ESM1-2-HR, 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.17776216
title: Open ruimte voor de monitoring van patrijs in Vlaanderen

description: Deze kaartlaag omvat de relevante open ruimte voor patrijs (Perdix perdix) in Vlaanderen. https://doi.org/10.5281/zenodo.5814813 bevat de broncode en basisdata die aan de oorsprong liggen van deze kaartlaag.
DOI: 10.5281/zenodo.5814833
title: Open ruimte voor de monitoring van patrijs in Vlaanderen

description: Deze kaartlaag omvat de relevante open ruimte voor patrijs (Perdix perdix) in Vlaanderen. https://doi.org/10.5281/zenodo.5814813 bevat de broncode en basisdata die aan de oorsprong liggen van deze kaartlaag.
DOI: 10.5281/zenodo.17754249
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, Global model MPI-ESM1-2-HR, 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.17754248
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, Global model MPI-ESM1-2-HR, 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.17754273
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, 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.17754272
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D1, Vertical level 50m, 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.17671703
title: WP2 - Athens campaign - BIRA-IASB

description: Dataset containing all measurements from BIRA-IASB during the 1st Euramet Biosphere measurement campaign. 

For more information about those datasets, consult the ReadME.txt files.

Project: 21GRD02 BIOSPHERE The project (21GRD02 BIOSPHERE) has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funded by the European Union.
DOI: 10.5281/zenodo.15773859
title: Datasets accompanying the manuscript "Inhibitors of GapN-dependent NADPH supply may qualify as potential lead compounds for novel therapeutics against Streptococcus pyogenes" (submitted for publication)

description: These datasets contain experimental raw data generated by the Institute of Medical Microbiology, Virology, and Hygiene, Rostock University Medical Center (Rostock, Germany) and modeling data generated by the Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (Heidelberg, Germany). It represents a subset of the complete dataset used in the study.

All data included here were used to generate the figures and tables assigned to these groups. For experimental datasets, individual biological replicate values are provided and were used to calculate means and standard deviations, as described in the figure legends. Applied statistical analyses are specified in the respective figure legends of the manuscript and supplementary data.

For questions or additional information, please contact:Fiedler, Tomas PD Dr. (tomas.fiedler@med.uni-rostock.de) for experimental data or Wade, Rebecca Prof. Dr. (rebecca.wade@h-its.org) for modeling data
DOI: 10.5281/zenodo.17671702
title: WP2 - Athens campaign - BIRA-IASB

description: Dataset containing all measurements from BIRA-IASB during the 1st Euramet Biosphere measurement campaign. 

For more information about those datasets, consult the ReadME.txt files.

Project: 21GRD02 BIOSPHERE The project (21GRD02 BIOSPHERE) has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funded by the European Union.
DOI: 10.5281/zenodo.17776227
title: Datasets accompanying the manuscript "Inhibitors of GapN-dependent NADPH supply may qualify as potential lead compounds for novel therapeutics against Streptococcus pyogenes" (submitted for publication)

description: These datasets contain experimental raw data generated by the Institute of Medical Microbiology, Virology, and Hygiene, Rostock University Medical Center (Rostock, Germany) and modeling data generated by the Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (Heidelberg, Germany). It represents a subset of the complete dataset used in the study.

All data included here were used to generate the figures and tables assigned to these groups. For experimental datasets, individual biological replicate values are provided and were used to calculate means and standard deviations, as described in the figure legends. Applied statistical analyses are specified in the respective figure legends of the manuscript and supplementary data.

For questions or additional information, please contact:Fiedler, Tomas PD Dr. (tomas.fiedler@med.uni-rostock.de) for experimental data or Wade, Rebecca Prof. Dr. (rebecca.wade@h-its.org) for modeling data
DOI: 10.5281/zenodo.17671745
title: WP2 - Brussels campaign - BIRA_IASB

description: Dataset containing all measurements from BIRA-IASB during the 2nd Euramet Biosphere measurement campaign. 

For more information about those datasets, consult the ReadME.txt files.

Project: 21GRD02 BIOSPHERE The project (21GRD02 BIOSPHERE) has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funded by the European Union.
DOI: 10.5281/zenodo.17671746
title: WP2 - Brussels campaign - BIRA_IASB

description: Dataset containing all measurements from BIRA-IASB during the 2nd Euramet Biosphere measurement campaign. 

For more information about those datasets, consult the ReadME.txt files.

Project: 21GRD02 BIOSPHERE The project (21GRD02 BIOSPHERE) has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funded by the European Union.
DOI: 10.15468/dl.kyjrjd
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Astragalus arnoldi"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020162-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17775439
title: Integrated genomic, climate and phenotypic dataset for genotype times environment interaction studies in winter wheat

description: This dataset contains processed genomic, climate, and phenotypic data from Exp_2 to Exp_5. All data files are saved in R's .qs format for efficient storage and loading. The corresponding code for using these files is available at https://github.com/AbhishekGogna/KIBREED_public

1. Genotypic Data

g_data_add* - Additive Genomic Effects Matrix



Format: Matrix of genotypes × markers

Content: Additive genetic effects for genotypes based on marker data

Row names: Genotype identifiers (Geno_1, Geno_2, ...)

Column names: Marker identifiers (mrkr_1, mrkr_2, ...)


g_data_dom* - Dominance Genomic Effects Matrix



Format: Matrix of genotypes × markers

Content: Dominance genetic effects for genotypes based on marker data

Row names: Genotype identifiers (Geno_1, Geno_2, ...)

Column names: Marker identifiers (mrkr_1, mrkr_2, ...)


2. Climate Data

ev_data* - Environment Variables Matrix



Format: Matrix of environments × environmental variables

Content: Climate and environmental data for testing environments

Row names: Environment identifiers (Env_1, Env_2, ...)

Column names: Environmental variable identifiers (var_1, var_2, ...)


3. Phenotypic Data

pheno_acr* - Phenotype Data for Genotypes Averaged Across Testing Environments



Format: Data frame with observations

Content: Phenotype data for genotypes averaged across testing environments as derived after correcting for environment effects

Columns:



Series: Experimental series identifier

Geno_n: Genotype identifier (corresponds to genomic data row names)

BLUEs_acr: Grain yield values in quintals per hectare (Best Linear Unbiased Estimates)

Type: Genotype category (Line or Hybrid)



pheno_wtn* - Phenotype Data for Genotypes Within Testing Environments



Format: Data frame with observations

Content: Phenotype data for genotypes within testing environments as derived after correcting for experimental design effects

Columns:



Env_n: Environment identifier (corresponds to climate data row names)

Exp: Experiment identifier

Site_n: Site identifier

Year: Year of evaluation

Geno_n: Genotype identifier (corresponds to genomic data row names)

Type: Genotype category (Line or Hybrid)

Series: Experimental series identifier

BLUEs_wtn: Grain yield values in quintals per hectare (Best Linear Unbiased Estimates)



Notes



All data is subset from the complete experimental dataset

All identifiers have been anonymized for data privacy while maintaining relational integrity

Software requirements and detailed usage examples are documented in the GitHub repository


 

Funding

German Federal Ministry of Food and Agriculture funded project KIBREED (FKZ: 28DK131A20A)
DOI: 10.5281/zenodo.17775440
title: Integrated genomic, climate and phenotypic dataset for genotype times environment interaction studies in winter wheat

description: This dataset contains processed genomic, climate, and phenotypic data from Exp_2 to Exp_5. All data files are saved in R's .qs format for efficient storage and loading. The corresponding code for using these files is available at https://github.com/AbhishekGogna/KIBREED_public

1. Genotypic Data

g_data_add* - Additive Genomic Effects Matrix



Format: Matrix of genotypes × markers

Content: Additive genetic effects for genotypes based on marker data

Row names: Genotype identifiers (Geno_1, Geno_2, ...)

Column names: Marker identifiers (mrkr_1, mrkr_2, ...)


g_data_dom* - Dominance Genomic Effects Matrix



Format: Matrix of genotypes × markers

Content: Dominance genetic effects for genotypes based on marker data

Row names: Genotype identifiers (Geno_1, Geno_2, ...)

Column names: Marker identifiers (mrkr_1, mrkr_2, ...)


2. Climate Data

ev_data* - Environment Variables Matrix



Format: Matrix of environments × environmental variables

Content: Climate and environmental data for testing environments

Row names: Environment identifiers (Env_1, Env_2, ...)

Column names: Environmental variable identifiers (var_1, var_2, ...)


3. Phenotypic Data

pheno_acr* - Phenotype Data for Genotypes Averaged Across Testing Environments



Format: Data frame with observations

Content: Phenotype data for genotypes averaged across testing environments as derived after correcting for environment effects

Columns:



Series: Experimental series identifier

Geno_n: Genotype identifier (corresponds to genomic data row names)

BLUEs_acr: Grain yield values in quintals per hectare (Best Linear Unbiased Estimates)

Type: Genotype category (Line or Hybrid)



pheno_wtn* - Phenotype Data for Genotypes Within Testing Environments



Format: Data frame with observations

Content: Phenotype data for genotypes within testing environments as derived after correcting for experimental design effects

Columns:



Env_n: Environment identifier (corresponds to climate data row names)

Exp: Experiment identifier

Site_n: Site identifier

Year: Year of evaluation

Geno_n: Genotype identifier (corresponds to genomic data row names)

Type: Genotype category (Line or Hybrid)

Series: Experimental series identifier

BLUEs_wtn: Grain yield values in quintals per hectare (Best Linear Unbiased Estimates)



Notes



All data is subset from the complete experimental dataset

All identifiers have been anonymized for data privacy while maintaining relational integrity

Software requirements and detailed usage examples are documented in the GitHub repository


 

Funding

German Federal Ministry of Food and Agriculture funded project KIBREED (FKZ: 28DK131A20A)
DOI: 10.5281/zenodo.17671784
title: WP2 - Milesovka campaign - BIRA-IASB

description: Dataset containing all measurements from BIRA-IASB during the 3rd Euramet Biosphere measurement campaign. 

For more information about those datasets, consult the ReadME.txt files.

Project: 21GRD02 BIOSPHERE The project (21GRD02 BIOSPHERE) has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funded by the European Union.
DOI: 10.5281/zenodo.17671785
title: WP2 - Milesovka campaign - BIRA-IASB

description: Dataset containing all measurements from BIRA-IASB during the 3rd Euramet Biosphere measurement campaign. 

For more information about those datasets, consult the ReadME.txt files.

Project: 21GRD02 BIOSPHERE The project (21GRD02 BIOSPHERE) has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funded by the European Union.
DOI: 10.15468/dl.g8q394
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/0020164-251120083545085/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.30751199
title: KST assessment results Demo

description: Results of a Knoweldge Space Theroy analysis to a simulated Dataset.
DOI: 10.6084/m9.figshare.30751199.v1
title: KST assessment results Demo

description: Results of a Knoweldge Space Theroy analysis to a simulated Dataset.