cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17630265
title: Local (high resolution) land use maps produced applying iCLUE model in the EU project DISTENDER for five case studies

description: Local (high resolution) land use maps produced applying iCLUE model in the EU project DISTENDER for five case studies. https://distender.eu/the-project . More details about the domains, the provided dataset and periods are provided in the README file.
DOI: 10.5281/zenodo.17630264
title: Local (high resolution) land use maps produced applying iCLUE model in the EU project DISTENDER for five case studies

description: Local (high resolution) land use maps produced applying iCLUE model in the EU project DISTENDER for five case studies. https://distender.eu/the-project . More details about the domains, the provided dataset and periods are provided in the README file.
DOI: 10.5281/zenodo.17726454
title: Modelled small area population estimates from sparsely distributed health intervention campaign data

description: Planning and decision-making in the 21st century heavily relies on small area population counts, traditionally obtained from population and housing census. In the case of Nigeria, the last census was in 2006, and census projections could have large uncertainties, thus, necessitating the development of alternative population estimation methods for operational uses. Here, we integrated the health campaign data from the  National Malaria Elimination Programme (NMEP) conducted in Nigeria in 2022/2023 with satellite-derived human settlements and a stack of geospatial covariates to produce population estimates in Nigeria at 100 metre spatial resolution.  We used a robust Bayesian hierarchical geostatstical modelling strategy which allowed for straightforward quantification of uncertainties in the parameter estimates, whilst systematically addressing the potential data quality issues within the input health campaign data. Compared to a more conventional approach, our methodology produced between 1.5% and 65.7% reduction in relative mean absolute error (RRMAE) over different data quality scenarios in a simulation study, and 18.3% RRMAE in the real data application. These modelled population estimates provide statistically robust evidence-base for informed decision-making, equitable resource allocation, effective humanitarian response and health intervention efforts in Nigeria.
DOI: 10.5281/zenodo.17726453
title: Modelled small area population estimates from sparsely distributed health intervention campaign data

description: Planning and decision-making in the 21st century heavily relies on small area population counts, traditionally obtained from population and housing census. In the case of Nigeria, the last census was in 2006, and census projections could have large uncertainties, thus, necessitating the development of alternative population estimation methods for operational uses. Here, we integrated the health campaign data from the  National Malaria Elimination Programme (NMEP) conducted in Nigeria in 2022/2023 with satellite-derived human settlements and a stack of geospatial covariates to produce population estimates in Nigeria at 100 metre spatial resolution.  We used a robust Bayesian hierarchical geostatstical modelling strategy which allowed for straightforward quantification of uncertainties in the parameter estimates, whilst systematically addressing the potential data quality issues within the input health campaign data. Compared to a more conventional approach, our methodology produced between 1.5% and 65.7% reduction in relative mean absolute error (RRMAE) over different data quality scenarios in a simulation study, and 18.3% RRMAE in the real data application. These modelled population estimates provide statistically robust evidence-base for informed decision-making, equitable resource allocation, effective humanitarian response and health intervention efforts in Nigeria.
DOI: 10.5281/zenodo.17632993
title: DISTENDER Climate Simulations: Statistical Downscaling for Austria_D1, Vertical level sfc -  Austria

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.17632992
title: DISTENDER Climate Simulations: Statistical Downscaling for Austria_D1, Vertical level sfc -  Austria

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.17660401
title: DISTENDER Climate Simulations: Statistical Downscaling for Austria_D1, Vertical level 2m -  Austria

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.17660400
title: DISTENDER Climate Simulations: Statistical Downscaling for Austria_D1, Vertical level 2m -  Austria

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.17660542
title: DISTENDER Climate Simulations: Statistical Downscaling for Austria_D1, Vertical level 50m -  Austria

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.17660541
title: DISTENDER Climate Simulations: Statistical Downscaling for Austria_D1, Vertical level 50m -  Austria

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.17660840
title: DISTENDER Climate Simulations: Statistical Downscaling for Austria_D1, Vertical level 2000m -  Austria

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.17660839
title: DISTENDER Climate Simulations: Statistical Downscaling for Austria_D1, Vertical level 2000m -  Austria

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.17726871
title: SEAMM Package List

description: The package list for the SEAMM environment, also complete conda environment files with and without the version pinned.
DOI: 10.5281/zenodo.17663711
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, 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.17663710
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, 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: 10.15468/dl.g9zwaq
title: Occurrence Download

description: A dataset containing 145 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 Albizia versicolor"
 ]
}

 The dataset includes 145 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010429-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17664437
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, 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.17664436
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, 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.17664457
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, 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.17664458
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, 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.17664841
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, 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.17664842
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, 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: 10.15468/dl.tpfhs6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colostethus furviventris"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010432-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x86wq2
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis molybrignus"
 ]
}

 The dataset includes 78 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010430-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17665099
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2m, 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.17665098
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2m, 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.17665113
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, 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.17665112
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, 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.15540532
title: Reproductive fluids enabling cryptic female choice of paternity do not induce concomitant ejaculate-mediated paternal effects in embryos of hybridizing salmonid fishes
DOI: 10.5281/zenodo.17523385
title: Reproductive fluids enabling cryptic female choice of paternity do not induce concomitant ejaculate-mediated paternal effects in embryos of hybridizing salmonid fishes
DOI: 10.5281/zenodo.17725975
title: Test TLE3 ChIP-seq SCP1

description: Anti-FLAG ChIP-seq (RPBPM normalized) for ParB1-3xFLAG in Streptomyces coelicolor A3(2) plasmid SCP1. Files included: -

TLE3_SCP1.bw: BigWig coverage track 

scp1_fixed.fa: Reference genome sequence

SCP1_genes_only.gff3: Gene annotations

Data are viewable in IGV (Integrative Genomics Viewer). Load the IGV session file to automatically display all tracks.
DOI: 10.5281/zenodo.17726493
title: Test TLE3 ChIP-seq SCP1

description: Anti-FLAG ChIP-seq (RPBPM normalized) for ParB1-3xFLAG in Streptomyces coelicolor A3(2) plasmid SCP1. Files included: -

TLE3_SCP1.bw: BigWig coverage track 

scp1_fixed.fa: Reference genome sequence

SCP1_genes_only.gff3: Gene annotations

Data are viewable in IGV (Integrative Genomics Viewer). Load the IGV session file to automatically display all tracks.
DOI: 10.15468/dl.c2e9u4
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis moro"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010433-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8t4h8z
title: Occurrence Download

description: A dataset containing 1507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Artibeus lituratus",
 "Year 2019-2021"
 ]
}

 The dataset includes 1507 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010434-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n25gkg
title: Occurrence Download

description: A dataset containing 43321289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, NABU|naturgucker)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 43321289 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010402-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15427347
title: Does post-ejaculatory sperm experience prior to fertilization alter embryo performance beyond paternity in an external fertilizing fish?
DOI: 10.5281/zenodo.15427348
title: Does post-ejaculatory sperm experience prior to fertilization alter embryo performance beyond paternity in an external fertilizing fish?
DOI: 10.5281/zenodo.17665246
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, 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.17665247
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, 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.17665416
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: 10.15468/dl.64qku8
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis museosus"
 ]
}

 The dataset includes 140 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010435-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.