cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17675601
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: 10.15468/dl.4852ak
title: Occurrence Download

description: A dataset containing 230 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 Metrioptera brachyptera",
 "Year 2015-2025"
 ]
}

 The dataset includes 230 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013917-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17675615
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.17675614
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: 10.14466/cefasdatahub.187
title: Select benthic invertebrate and sediment data from 1985 to 2023 for mapping benthic biodiversity to facilitate future sustainable development

description: This dataset underpins the study Mapping benthic biodiversity to facilitate future sustainable development, which used benthic macrofaunal records and sediment particle size analysis (PSA) to generate high-resolution maps of biodiversity across the continental shelf of the North-East Atlantic. The dataset comprises 22,793 standardised grab and core samples collected between 1985 and 2023, with taxonomic names harmonised via the World Register of Marine Species (WoRMS). It includes species abundance data, diversity metrics (alpha-, beta- and gamma-diversity), and biodiversity cluster classifications derived through Random Forest modelling. The primary purpose of this dataset is to inform marine spatial planning and environmental licensing, especially in the context of offshore wind development and other seabed activities.

Benthic macrofaunal records were compiled from the OneBenthic database, covering samples collected between 1985 and 2023, with most data from 2000 onwards. Only comparable grab and core samples (0.1 m², 1 millimetre mesh sieve) were retained, and taxonomic names were standardised using the World Register of Marine Species (WoRMS). Samples from areas with localised disturbance (such as dredge spoil disposal or aggregate extraction) were excluded, and those within 50 metres of one another were filtered to reduce spatial autocorrelation.

Biodiversity metrics (species richness, Shannon and Simpson diversity, abundance, and alpha-, beta-, gamma-diversity) were calculated and standardised for sampling effort. Cluster classifications and Random Forest models were applied to predict biodiversity patterns across the region, with validation through cross-validation and accuracy statistics.

Overall, the dataset is high quality and suitable for marine biodiversity mapping and planning, though users should be aware of its long temporal span and uneven sampling density across regions.

Details of how the full dataset was queried and extracted are provided in the SQL query contained within the R code.
DOI: 10.5281/zenodo.17675887
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.17675886
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: 10.17632/v78g4x5y96
title: analysis in OPTN(E50K) NTG mice Müller cells
DOI: 10.17632/v78g4x5y96.1
title: analysis in OPTN(E50K) NTG mice Müller cells
DOI: 10.5281/zenodo.17675897
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.17675898
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: 10.17632/3skbpssh33
title: Research data
DOI: 10.17632/3skbpssh33.2
title: Research data
DOI: 10.17632/m47c5t4ykg
title: KaonLT BSA Analysis of p(e,e'pi+)n

description: These data present the Beam-Spin Asymmetry (A_LU) in exclusive pion electroproduction, p(e,e'pi+)n as measured in the KaonLT experiment. Files titled with the central kinematics of the setting, e.g. "Q2p1x0p21.csv," contain A_LU as a function of phi for each bin in Mandelstam t for the given setting. The file "ALUsinphi.csv" contains experimental kinematics and a summary of the sin(phi) moment of the asymmetry, and its errors, in each t-bin, across all settings.

These data were collected at Jefferson Laboratory Hall C as a part of the KaonLT experiment. They were analyzed using a combination of the standard Hall C analysis software and standalone analysis scripts in CERN ROOT. 

 These data are intended to accompany the paper, "Probing hard/soft factorization via beam-spin asymmetry in exclusive pion electroproduction from the proton," by A.C. Postuma et al (KaonLT Collaboration), which will be submitted to Physics Letters B.
DOI: 10.5281/zenodo.17675906
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: 10.17632/m47c5t4ykg.1
title: KaonLT BSA Analysis of p(e,e'pi+)n

description: These data present the Beam-Spin Asymmetry (A_LU) in exclusive pion electroproduction, p(e,e'pi+)n as measured in the KaonLT experiment. Files titled with the central kinematics of the setting, e.g. "Q2p1x0p21.csv," contain A_LU as a function of phi for each bin in Mandelstam t for the given setting. The file "ALUsinphi.csv" contains experimental kinematics and a summary of the sin(phi) moment of the asymmetry, and its errors, in each t-bin, across all settings.

These data were collected at Jefferson Laboratory Hall C as a part of the KaonLT experiment. They were analyzed using a combination of the standard Hall C analysis software and standalone analysis scripts in CERN ROOT. 

 These data are intended to accompany the paper, "Probing hard/soft factorization via beam-spin asymmetry in exclusive pion electroproduction from the proton," by A.C. Postuma et al (KaonLT Collaboration), which will be submitted to Physics Letters B.
DOI: 10.5281/zenodo.17675905
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: 10.17632/9gm4jwdt66
title: Methodological Annex of "How to make the invisible visible? Applying the Social Capital Assessment Tool in a beekeepers’ cooperative in the Maule Region (Chile)"

description: The Annex provides the detailed framework and operationalization of the Social Capital Assessment Tool for Peasant and Agricultural Cooperatives (SCAT-PAC). This innovative tool consists of 44 composite indicators grouped into 15 dimensions, aimed at evaluating and measuring different aspects of social capital within agricultural cooperatives.
The 15 dimensions cover both structural social capital (e.g. motivation, network structures, digital relations, reputational power) and normative-cognitive social capital (e.g. trust, shared values, conflicts), as well as key aspects of cooperative governance (e.g. decision-making, efficiency, innovation capacity).
Three of the 15 dimensions leverage social network analysis techniques to assess the structural properties of the cooperative's social networks.
The Annex is organized into three tables:
Table 1 lists the 15 dimensions of structural and normative-cognitive social capital, as well as aspects of governance in peasant and agricultural cooperatives. For each dimension, it provides a description and the criteria for assessment.
Table 2a presents the forms, dimensions, indicators, and specific questions related to measuring structural social capital. It covers dimensions like motivation and knowledge, horizontal/digital network structure, reputational power, etc.
Table 2b does the same for dimensions of normative-cognitive social capital, such as interpersonal trust, institutional trust, benefits of the network, shared values, internal conflicts, etc.
Table 2c covers the dimensions related to aspects of governance, including decision-making processes, efficiency and effectiveness, organizational capacity, innovation capability, and other horizontal/vertical relations.
For each indicator, the corresponding question(s) to be asked to cooperative members and/or the manager are provided, along with the expected answer format (e.g. Likert scale, yes/no, list, number). Some indicators are computed using social network analysis methods.
In total, the SCAT-PAC tool comprises a comprehensive set of 44 indicators that can provide an in-depth evaluation of the multidimensional social capital within a peasant or agricultural cooperative.

Keywords: Social capital; Agricultural cooperatives; Social network analysis; Governance; Chile; Sustainability.
DOI: 10.5281/zenodo.17675912
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, 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.17675911
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, 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: 10.17632/9gm4jwdt66.1
title: Methodological Annex of "How to make the invisible visible? Applying the Social Capital Assessment Tool in a beekeepers’ cooperative in the Maule Region (Chile)"

description: The Annex provides the detailed framework and operationalization of the Social Capital Assessment Tool for Peasant and Agricultural Cooperatives (SCAT-PAC). This innovative tool consists of 44 composite indicators grouped into 15 dimensions, aimed at evaluating and measuring different aspects of social capital within agricultural cooperatives.
The 15 dimensions cover both structural social capital (e.g. motivation, network structures, digital relations, reputational power) and normative-cognitive social capital (e.g. trust, shared values, conflicts), as well as key aspects of cooperative governance (e.g. decision-making, efficiency, innovation capacity).
Three of the 15 dimensions leverage social network analysis techniques to assess the structural properties of the cooperative's social networks.
The Annex is organized into three tables:
Table 1 lists the 15 dimensions of structural and normative-cognitive social capital, as well as aspects of governance in peasant and agricultural cooperatives. For each dimension, it provides a description and the criteria for assessment.
Table 2a presents the forms, dimensions, indicators, and specific questions related to measuring structural social capital. It covers dimensions like motivation and knowledge, horizontal/digital network structure, reputational power, etc.
Table 2b does the same for dimensions of normative-cognitive social capital, such as interpersonal trust, institutional trust, benefits of the network, shared values, internal conflicts, etc.
Table 2c covers the dimensions related to aspects of governance, including decision-making processes, efficiency and effectiveness, organizational capacity, innovation capability, and other horizontal/vertical relations.
For each indicator, the corresponding question(s) to be asked to cooperative members and/or the manager are provided, along with the expected answer format (e.g. Likert scale, yes/no, list, number). Some indicators are computed using social network analysis methods.
In total, the SCAT-PAC tool comprises a comprehensive set of 44 indicators that can provide an in-depth evaluation of the multidimensional social capital within a peasant or agricultural cooperative.

Keywords: Social capital; Agricultural cooperatives; Social network analysis; Governance; Chile; Sustainability.
DOI: 10.17632/sx4njw459n
title: The one direction highway D1, from Prague to Rikovice, Czech Republic.

description: This dataset contains geometrical road-segment sequences extracted from the Czech Republic’s D1 highway (Prague → Říkovice) and the corresponding counts of road accidents. Each sequence consists of 30 consecutive sectors, where each sector represents a 10-meter segment of the highway. Thus, one complete sequence corresponds to a 300-meter roadway section, which was empirically determined as the optimal length for capturing curved segments and other geometrical features relevant to accident risk.

Sequences were generated using a sliding window with a step size of 1, resulting in a total of 26,630 overlapping sequences along the D1 highway. For each sector, the number of historical road accidents occurring within that 10-meter segment was summarised and used as the target label for the sequence.

This dataset supports the paper “A Neural Network–Based Framework for Identifying Hazardous Road Segments Using Geometrical Road Attributes.”
DOI: 10.17632/sx4njw459n.1
title: The one direction highway D1, from Prague to Rikovice, Czech Republic.

description: This dataset contains geometrical road-segment sequences extracted from the Czech Republic’s D1 highway (Prague → Říkovice) and the corresponding counts of road accidents. Each sequence consists of 30 consecutive sectors, where each sector represents a 10-meter segment of the highway. Thus, one complete sequence corresponds to a 300-meter roadway section, which was empirically determined as the optimal length for capturing curved segments and other geometrical features relevant to accident risk.

Sequences were generated using a sliding window with a step size of 1, resulting in a total of 26,630 overlapping sequences along the D1 highway. For each sector, the number of historical road accidents occurring within that 10-meter segment was summarised and used as the target label for the sequence.

This dataset supports the paper “A Neural Network–Based Framework for Identifying Hazardous Road Segments Using Geometrical Road Attributes.”
DOI: 10.17632/b5f9rp823c.1
title: Investments that Make our Homes Greener: The Role of Regulation

description: Replication package for: Investments that Make our Homes Greener: The Role of Regulation
DOI: 10.17632/2wrgmh5knr
title: Hypothalamic endoplasmic reticulum stress drives pubertal precocity due to early-onset obesity in female rodents

description: Source data, Uncropped Western blots, and Supplementary material
DOI: 10.17632/2wrgmh5knr.1
title: Hypothalamic endoplasmic reticulum stress drives pubertal precocity due to early-onset obesity in female rodents

description: Source data, Uncropped Western blots, and Supplementary material
DOI: 10.15468/dl.twwr28
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Cologania capitata"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013919-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17676105
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, 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.17676104
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, 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: 10.17632/4rzn3hkpcy
title: Demographic models and behavioural assessments uncover distinct species histories in the pseudocryptic nudibranch genus Hermissenda

description: This is the supplementary data for the publication "Demographic models and behavioural assessments uncover distinct species histories in the pseudocryptic nudibranch genus Hermissenda" by Dennis et al. (submitted). Files include input and output data files, R and SLiM scripts, and additional figures/tables. Please see the README.txt file for more detailed information.
DOI: 10.17632/4rzn3hkpcy.3
title: Demographic models and behavioural assessments uncover distinct species histories in the pseudocryptic nudibranch genus Hermissenda

description: This is the supplementary data for the publication "Demographic models and behavioural assessments uncover distinct species histories in the pseudocryptic nudibranch genus Hermissenda" by Dennis et al. (submitted). Files include input and output data files, R and SLiM scripts, and additional figures/tables. Please see the README.txt file for more detailed information.
DOI: 10.15468/dl.pg6aym
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drosophila subquinaria"
 ]
}

 The dataset includes 309 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013921-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2s6hhn45vf
title: VBLPSCND

description: A viable supply chain network design by applying risk, robustness for controlling energy imbalance by robust bi-level programming
DOI: 10.17632/2s6hhn45vf.1
title: VBLPSCND

description: A viable supply chain network design by applying risk, robustness for controlling energy imbalance by robust bi-level programming