cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17665536
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2m, Global model CanESM5 -  The North-east of the Netherlands (HUAS)

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.17665417
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario Historical -  The North-east of the Netherlands (HUAS)

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.17665555
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model EC-EARTH3, scenario Historical -  The North-east of the Netherlands (HUAS)

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.17665537
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2m, Global model CanESM5 -  The North-east of the Netherlands (HUAS)

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.17665554
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model EC-EARTH3, scenario Historical -  The North-east of the Netherlands (HUAS)

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.17665585
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp370 -  The North-east of the Netherlands (HUAS)

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.17665586
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp370 -  The North-east of the Netherlands (HUAS)

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.17665605
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 10m, Global model CanESM5 -  The North-east of the Netherlands (HUAS)

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.17665604
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 10m, Global model CanESM5 -  The North-east of the Netherlands (HUAS)

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.17717241
title: curvedASLM Datasets

description: Supporting data sets for curvedASLM publication. Data is processed, and figures are generated using the code in this Zenodo. Raw data is first processed using the process_omezarr.py (Brain Data) or process_tif.py (Bead data).



Mouse brain data: 400um zstack, max projection and sub-regions are used in Fig.6.



Figures are made by manual cropping in Fiji (imageJ)



Microsphere (bead) data: Used to validate curvedASLM in Fig.4-5.



Processing data using process_bead_data.py,

Generate figure using generate_beadResults_figure.py



Ronchi Ruler data: Ronchi ruler datasets in air, water, and oil. Used to map contrast of the detection optics



Process data using process_ronchiRuler_data.py

Generate Figure using generate_ronchiRuler_figure.py
DOI: 10.5281/zenodo.17717240
title: curvedASLM Datasets

description: Supporting data sets for curvedASLM publication. Data is processed, and figures are generated using the code in this Zenodo. Raw data is first processed using the process_omezarr.py (Brain Data) or process_tif.py (Bead data).



Mouse brain data: 400um zstack, max projection and sub-regions are used in Fig.6.



Figures are made by manual cropping in Fiji (imageJ)



Microsphere (bead) data: Used to validate curvedASLM in Fig.4-5.



Processing data using process_bead_data.py,

Generate figure using generate_beadResults_figure.py



Ronchi Ruler data: Ronchi ruler datasets in air, water, and oil. Used to map contrast of the detection optics



Process data using process_ronchiRuler_data.py

Generate Figure using generate_ronchiRuler_figure.py
DOI: 10.5281/zenodo.17665626
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 10m, Global model EC-EARTH3 -  The North-east of the Netherlands (HUAS)

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.17665592
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp585 -  The North-east of the Netherlands (HUAS)

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.17665625
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 10m, Global model EC-EARTH3 -  The North-east of the Netherlands (HUAS)

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.17665591
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp585 -  The North-east of the Netherlands (HUAS)

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.17665636
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 10m, Global model MPI-ESM1-2-HR -  The North-east of the Netherlands (HUAS)

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.17665637
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 10m, Global model MPI-ESM1-2-HR -  The North-east of the Netherlands (HUAS)

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.kj9g86
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Androstachys johnsonii"
 ]
}

 The dataset includes 96 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010436-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17665661
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model CanESM5 -  The North-east of the Netherlands (HUAS)

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.17665660
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model CanESM5 -  The North-east of the Netherlands (HUAS)

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.17665684
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model EC-EARTH3, scenario Historical -  The North-east of the Netherlands (HUAS)

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.17665685
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model EC-EARTH3, scenario Historical -  The North-east of the Netherlands (HUAS)

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.17665691
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model EC-EARTH3, scenario ssp126 -  The North-east of the Netherlands (HUAS)

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.17665690
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model EC-EARTH3, scenario ssp126 -  The North-east of the Netherlands (HUAS)

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.17665704
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model EC-EARTH3, scenario ssp245 -  The North-east of the Netherlands (HUAS)

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.17665705
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model EC-EARTH3, scenario ssp245 -  The North-east of the Netherlands (HUAS)

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.17665734
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model EC-EARTH3, scenario ssp585 -  The North-east of the Netherlands (HUAS)

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.17665735
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model EC-EARTH3, scenario ssp585 -  The North-east of the Netherlands (HUAS)

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.17665755
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario Historical -  The North-east of the Netherlands (HUAS)

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.17665754
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario Historical -  The North-east of the Netherlands (HUAS)

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.17665781
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2m, Global model EC-EARTH3 -  The North-east of the Netherlands (HUAS)

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.17665780
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2m, Global model EC-EARTH3 -  The North-east of the Netherlands (HUAS)

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.17665796
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model CanESM5 -  The North-east of the Netherlands (HUAS)

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.17665795
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model CanESM5 -  The North-east of the Netherlands (HUAS)

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.17665810
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp126 -  The North-east of the Netherlands (HUAS)

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.17665811
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp126 -  The North-east of the Netherlands (HUAS)

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.