cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17677216
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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: 10.15468/dl.fbp4dn
title: Occurrence Download

description: A dataset containing 298196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cetacea",
 "Year 2017-2018"
 ]
}

 The dataset includes 298196 records from 373 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013941-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2t7tt
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Country is Germany",
 "GadmGid is one of (DEU.7_1, DEU.11_1, DEU.1_1, DEU.12_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IsInCluster is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tessellana tessellata",
 "Year 2015-2025"
 ]
}

 The dataset includes 114 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013970-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17677220
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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.17677221
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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: 10.6084/m9.figshare.26974540.v2
title: <b>Code & Dataset-</b><b>Forest foods for climate, health, and food security in China</b>

description: <b>Forest-derived foods offer a promising, underused lever for sustainable food systems, yet their system-wide contributions remain poorly quantified. We present the first integrated assessment of China’s forest food system, combining retrospective production data for 2006 to 2020 with scenario projections for 2021 to 2050 under SSP1 to SSP5. By 2035, higher forest food consumption could substitute 6.6% to 7.6% of national grain demand and reduce arable land use by 6.4% to 7.9%, rising to 6.8% to 8.0% and 6.6% to 8.3% by 2050. These dietary shifts could lower nitrogen, phosphorus, and potassium fertilizer use by up to 31% to 33%, 2% to 3%, and 4% to 5%, respectively, and offset up to 17% of agricultural greenhouse gas emissions, while strengthening forest carbon sinks. Health co-benefits include a 3.2% reduction in cardiovascular and respiratory mortality and a 2.3 to 2.6 year increase in average life expectancy, attributable to the high micronutrient density and low energy content of forest foods. Together, these results indicate that forest-based diets can deliver substantial environmental and health gains while relieving pressure on cropland and agricultural inputs.</b>
DOI: 10.5281/zenodo.17677217
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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: 10.1285/istant2021n2pcop
title: Copertina
DOI: 10.5281/zenodo.17677232
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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.17677231
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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.17677238
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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.17677237
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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: 10.1285/istant2021n2pfp
title: Frontespizio e pagine iniziali
DOI: 10.15468/dl.n7xmgz
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola atsaensis"
 ]
}

 The dataset includes 23 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013971-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17677254
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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.17677253
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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: 10.15468/dl.prtpy4
title: Occurrence Download

description: A dataset containing 42694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 14.085278",
 "DecimalLatitude is less than or equal to 19.085278",
 "DecimalLongitude is greater than or equal to -80.0",
 "DecimalLongitude is less than or equal to -75.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 42694 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013972-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjeryw
title: Occurrence Download

description: A dataset containing 671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phelotrupes auratus"
 ]
}

 The dataset includes 671 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013973-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vj2bs4
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola sachalinensis"
 ]
}

 The dataset includes 52 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013974-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17677265
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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.17677264
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, 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: 10.6084/m9.figshare.26974540.v3
title: <b>Code & Dataset: </b><b>Forest foods for climate, health, and food security in China</b>

description: <b>Forest-derived foods offer a promising, underused lever for sustainable food systems, yet their system-wide contributions remain poorly quantified. We present the first integrated assessment of China’s forest food system, combining retrospective production data for 2006 to 2020 with scenario projections for 2021 to 2050 under SSP1 to SSP5. By 2035, higher forest food consumption could substitute 6.6% to 7.6% of national grain demand and reduce arable land use by 6.4% to 7.9%, rising to 6.8% to 8.0% and 6.6% to 8.3% by 2050. These dietary shifts could lower nitrogen, phosphorus, and potassium fertilizer use by up to 31% to 33%, 2% to 3%, and 4% to 5%, respectively, and offset up to 17% of agricultural greenhouse gas emissions, while strengthening forest carbon sinks. Health co-benefits include a 3.2% reduction in cardiovascular and respiratory mortality and a 2.3 to 2.6 year increase in average life expectancy, attributable to the high micronutrient density and low energy content of forest foods. Together, these results indicate that forest-based diets can deliver substantial environmental and health gains while relieving pressure on cropland and agricultural inputs.</b>
DOI: 10.5281/zenodo.17677272
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, Global model MPI-ESM1-2-HR, 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.17677271
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, Global model MPI-ESM1-2-HR, 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: 10.17632/fhfsmfkyzh
title: Repository_seismic_risk_GRINS_Campania_2025

description: This repository contains the results of the study presented in Falcone et al. (2025), “A large-scale seismic risk approach accounting for local site effects and modelling of building exposure based on open-access datasets”, published in the International Journal of Disaster Risk Reduction (https://doi.org/10.1016/j.ijdrr.2025.105936).
DOI: 10.17632/fhfsmfkyzh.1
title: Repository_seismic_risk_GRINS_Campania_2025

description: This repository contains the results of the study presented in Falcone et al. (2025), “A large-scale seismic risk approach accounting for local site effects and modelling of building exposure based on open-access datasets”, published in the International Journal of Disaster Risk Reduction (https://doi.org/10.1016/j.ijdrr.2025.105936).
DOI: 10.17632/b56bmhhbrp
title: Research data
DOI: 10.17632/b56bmhhbrp.1
title: Research data
DOI: 10.5281/zenodo.17677278
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, Global model MPI-ESM1-2-HR, 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.17677279
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, Global model MPI-ESM1-2-HR, 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: 10.17632/49zng74g9f.1
title: Hybrid-RC-Model-of-Dynamic-Adsorption-Cycle

description: A new hybrid mesoscopic RC model has been developed to describe dynamic adsorption cycles on isothermal surfaces. The model has been rigorously validated through three independent campaigns: one inter‑model comparison and two validations based on published scientific studies. This file repository consolidates the reference datasets employed in these validation exercises and provides the computational codes necessary to extract and calibrate the parameters of the proposed model. The results confirm the robustness and general applicability of the hybrid approach, establishing a reliable framework for the simulation and optimization of adsorption/desorption processes across diverse adsorbent systems.
DOI: 10.17026/ss/dfvtaz
title: We zijn allemaal mensen
title: Het zijn net mensen

description: &lt;p&gt;Wanneer cliënten bij een sociale dienst terechtkomen voor een uitkering en begeleiding, zitten zij vaak in een lastige situatie. Het is dan ook belangrijk dat zij passende begeleiding krijgen. Elke cliënt is daarbij anders: elke cliënt heeft andere behoeftes, kwaliteiten, beperkingen, wensen en potentieel. En heeft daarom andere ondersteuning nodig. Het is daarom belangrijk dat professionals die deze cliënten begeleiden, maatwerk bieden. Niet alleen omdat dit invulling geeft aan de kernwaarden van de organisatie en de maatschappelijke tendens rondom maatwerk en de menselijke maat, maar ook omdat dit tot meer duurzame impact leidt. 
Om de professionals daarbij te ondersteunen zijn we in 2023 gestart met het project We zijn allemaal mensen. De kern van het project ligt bij het bieden van passende ondersteuning aan cliënten, en ter ondersteuning daarvan het versterken van het vakmanschap van de begeleidende professionals. Dat doen we op basis van hetzelfde model: het integratief gedragsmodel (IGM).
&lt;/p&gt;
We hebben met dit project 2 doelen: &lt;br&gt;
1) Het versterken van het professioneel handelen van professionals &lt;br&gt;
2) Het vergroten van de optimale participatie van cliënten. &lt;br&gt;
Om deze doelen te bereiken, richten wij ons op zowel de begeleiding van cliënten door professionals, als de begeleiding van professionals door managers: Met professionals bedoelen we iedereen die cliënten begeleidt in het realiseren van 
optimale participatie. Met managers bedoelen we iedereen die binnen de organisatie de rol en de mogelijkheden heeft om professionals te ondersteunen in hun willen en kunnen (dus niet alleen de directe leidinggevende).&lt;br&gt;
&lt;p&gt;
We hebben een aantal enquêtes afgenomen bij cliënten(T0,T1 en T2), managers (T0 en T1) en professionals(T0,T1 en T2) om te evalueren hoe het staat met hun willen en kunnen en hoe dit veranderde over de tijd. Deze enquêtes zijn toegevoegd als data.&lt;/p&gt;
description: Excel
DOI: 10.5281/zenodo.17677285
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, Global model MPI-ESM1-2-HR, 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.17677286
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, Global model MPI-ESM1-2-HR, 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: 10.60797/chem.2025.7.1.3
title: Зависимость эмиссии формальдегида от природы модификаторов при различных температурах

description: Cifra. Химия, Выпуск 4 (7) 2025
DOI: 10.5281/zenodo.17677297
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 50m, Global model CanESM5, 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.17677296
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 50m, Global model CanESM5, 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: 10.15468/dl.kkn9p9
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trypoxylus dichotomus"
 ]
}

 The dataset includes 923 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013975-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.