cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17741696
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model CanESM5, scenario Historical -  The Metropolitan City of Turin (CMTo, Italy)

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.17741697
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model CanESM5, scenario Historical -  The Metropolitan City of Turin (CMTo, Italy)

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.17741705
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model CanESM5, scenario ssp585 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741706
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model CanESM5, scenario ssp585 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741719
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp126 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741718
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp126 -  The Metropolitan City of Turin (CMTo, Italy)

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.w9ctz8
title: Occurrence Download

description: A dataset containing 1404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia acuminata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1404 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014185-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17741731
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp245 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741732
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp245 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741741
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp370 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741742
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp370 -  The Metropolitan City of Turin (CMTo, Italy)

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.cca4ux
title: Occurrence Download

description: A dataset containing 26948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Suillus luteus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26948 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014186-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14699289
title: Results obtained with the cQUEST application on VIP related to the ISBI2023 publication

description: These results are related to the study "Computational Reproducibility in Metabolite Quantification Applied to Short Echo Time in Vivo MR Spectroscopy" presented at the ISBI2023 conference. 

We reproduced a subset of the results of the study by using scripts available on https://gitlab.in2p3.fr/reprovipgroup/isbi-spectro and a newer version of the cQUEST application on VIP allowing to generate provenance metadata. We then used the VIP "Make this execution public" functionality to push the generated results and metadata on Zenodo.
DOI: 10.5281/zenodo.14699288
title: Results obtained with the cQUEST application on VIP related to the ISBI2023 publication

description: These results are related to the study "Computational Reproducibility in Metabolite Quantification Applied to Short Echo Time in Vivo MR Spectroscopy" presented at the ISBI2023 conference. 

We reproduced a subset of the results of the study by using scripts available on https://gitlab.in2p3.fr/reprovipgroup/isbi-spectro and a newer version of the cQUEST application on VIP allowing to generate provenance metadata. We then used the VIP "Make this execution public" functionality to push the generated results and metadata on Zenodo.
DOI: 10.5281/zenodo.17741759
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp585 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741760
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model EC-EARTH3, scenario ssp585 -  The Metropolitan City of Turin (CMTo, Italy)

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: 10.5517/ccdc.csd.cc2m4x6x
title: CCDC 2417789: Experimental Crystal Structure Determination

description: Related Article: Jennifer Bou Zeid, Maksym Dekhtiarenko, Romain Guechaichia, David Canevet, Magali Allain, Ingrid Freuze, Marc Sallé, Sébastien Goeb|2025|Chem.-Eur.J.|31|e202501828|doi:10.1002/chem.202501828
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m4x7y
title: CCDC 2417790: Experimental Crystal Structure Determination

description: Related Article: Jennifer Bou Zeid, Maksym Dekhtiarenko, Romain Guechaichia, David Canevet, Magali Allain, Ingrid Freuze, Marc Sallé, Sébastien Goeb|2025|Chem.-Eur.J.|31|e202501828|doi:10.1002/chem.202501828
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.17741770
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario Historical -  The Metropolitan City of Turin (CMTo, Italy)

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.17741771
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario Historical -  The Metropolitan City of Turin (CMTo, Italy)

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.17741780
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp126 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741781
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp126 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741791
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp245 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741790
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp245 -  The Metropolitan City of Turin (CMTo, Italy)

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.17751584
title: Table 1 in Systematics of Lamontichthys Miranda-Ribeiro (Siluriformes: Loricariidae), with the description of two new species

description: Table 1. Morphometric and meristic data for Lamontichthys avacanoeiro and L. filamentosus. SD = standard deviation. Range of L. avacanoeiro includes paratypes.
VariableL. avacanoeiroL. filamentosusHolotypeNRange MeanSDNRange MeanSDStandard length (mm)150.52447.6-159.9108.16438.8-172.5134.9Percents of standard lengthHead length20.92419.8-25.322.31.56416.0-20.217.60.9Predorsal length29.92428.4-33.030.51.26426.0-30.827.70.9Postanal length49.92447.7-52.750.01.36451.3-57.355.11.0Abdominal lenght16.92415.2-17.716.70.76413.6-16.815.40.6Thoracic length16.92413.7-16.915.20.96413.6-16.715.20.7Dorsal-fin length-2120.5-26.024.11.35727.8-39.936.02.3Pectoral-fin length19.32418.2-22.020.10.86220.5-26.123.41.3Pelvic-fin length17.72417.7-20.619.20.86418.9-23.020.71.0Anal-fin length17.32216.9-20.319.11.05619.9-26.923.31.4Body depth at dorsal-fin origin11.8239.3-12.510.61.16410.2-13.912.50.8Caudal peduncle depth1.5241.3-1.81.50.1641.4-1.91.60.1Body width at dorsal-fin origin16.62413.5-16.915.40.96413.8-16.915.60.7Body width at anal-fin origin12.92310.2-13.112.00.86411.2-14.413.10.6Body width at caudal-fin origin2.7232.4-2.92.70.2642.5-3.32.90.2Percents of head lengthHead width97.72385.6-100.992.83.96496.7-111.1105.23.7Interorbital distance27.32425.4-29.427.11.26428.4-35.232.11.6Orbital diameter13.82413.6-16.214.60.86410.9-18.416.41.2Snout length62.22460.6-64.862.71.16455.4-63.359.81.4Dentary length20.82418.4-23.420.81.56411.5-20.214.11.4Lower lip width14.82213.0-21.216.02.3647.6-16.712.21.9Meristic dataLateral plates of median series322331-3432.60.86432-3432.80.5Lateral plates of mid-ventral series192414-2017.71.56314-1814.80.8Ventrolateral thoracic plates7246-97.00.8635-86.90.7Premaxillary teeth962160-10082.810.76133-7862.58.4Dentary teeth832150-8773.49.46030-7055.17.8Dorsal-fin raysII,722II,7II,70.062II,6-7I,70.1Pectoral-fin raysI,722I,7I,70.064I,7I,70.0Pelvic-fin raysi,522i,5i,50.064i,5i,50.0Anal-fin raysi,522i,5i,50.064i,5i,50.0Caudal-fin raysi,12,i22i,12,ii,12,i0.061i,12,ii,12,i0.0
description: Published as part of Paixão, Andrea de Carvalho & Toledo-Piza, Mônica, 2009, Systematics of Lamontichthys Miranda-Ribeiro (Siluriformes: Loricariidae), with the description of two new species, pp. 526 in Neotropical Ichthyology 7 (4) on page 526, DOI: 10.1590/s1679-62252009000400002, http://zenodo.org/record/17751374
DOI: 10.5281/zenodo.17751585
title: Table 1 in Systematics of Lamontichthys Miranda-Ribeiro (Siluriformes: Loricariidae), with the description of two new species

description: Table 1. Morphometric and meristic data for Lamontichthys avacanoeiro and L. filamentosus. SD = standard deviation. Range of L. avacanoeiro includes paratypes.
VariableL. avacanoeiroL. filamentosusHolotypeNRange MeanSDNRange MeanSDStandard length (mm)150.52447.6-159.9108.16438.8-172.5134.9Percents of standard lengthHead length20.92419.8-25.322.31.56416.0-20.217.60.9Predorsal length29.92428.4-33.030.51.26426.0-30.827.70.9Postanal length49.92447.7-52.750.01.36451.3-57.355.11.0Abdominal lenght16.92415.2-17.716.70.76413.6-16.815.40.6Thoracic length16.92413.7-16.915.20.96413.6-16.715.20.7Dorsal-fin length-2120.5-26.024.11.35727.8-39.936.02.3Pectoral-fin length19.32418.2-22.020.10.86220.5-26.123.41.3Pelvic-fin length17.72417.7-20.619.20.86418.9-23.020.71.0Anal-fin length17.32216.9-20.319.11.05619.9-26.923.31.4Body depth at dorsal-fin origin11.8239.3-12.510.61.16410.2-13.912.50.8Caudal peduncle depth1.5241.3-1.81.50.1641.4-1.91.60.1Body width at dorsal-fin origin16.62413.5-16.915.40.96413.8-16.915.60.7Body width at anal-fin origin12.92310.2-13.112.00.86411.2-14.413.10.6Body width at caudal-fin origin2.7232.4-2.92.70.2642.5-3.32.90.2Percents of head lengthHead width97.72385.6-100.992.83.96496.7-111.1105.23.7Interorbital distance27.32425.4-29.427.11.26428.4-35.232.11.6Orbital diameter13.82413.6-16.214.60.86410.9-18.416.41.2Snout length62.22460.6-64.862.71.16455.4-63.359.81.4Dentary length20.82418.4-23.420.81.56411.5-20.214.11.4Lower lip width14.82213.0-21.216.02.3647.6-16.712.21.9Meristic dataLateral plates of median series322331-3432.60.86432-3432.80.5Lateral plates of mid-ventral series192414-2017.71.56314-1814.80.8Ventrolateral thoracic plates7246-97.00.8635-86.90.7Premaxillary teeth962160-10082.810.76133-7862.58.4Dentary teeth832150-8773.49.46030-7055.17.8Dorsal-fin raysII,722II,7II,70.062II,6-7I,70.1Pectoral-fin raysI,722I,7I,70.064I,7I,70.0Pelvic-fin raysi,522i,5i,50.064i,5i,50.0Anal-fin raysi,522i,5i,50.064i,5i,50.0Caudal-fin raysi,12,i22i,12,ii,12,i0.061i,12,ii,12,i0.0
description: Published as part of Paixão, Andrea de Carvalho & Toledo-Piza, Mônica, 2009, Systematics of Lamontichthys Miranda-Ribeiro (Siluriformes: Loricariidae), with the description of two new species, pp. 526 in Neotropical Ichthyology 7 (4) on page 526, DOI: 10.1590/s1679-62252009000400002, http://zenodo.org/record/17751374
DOI: 10.5281/zenodo.17751646
title: D6.3 E3ME Model Dataset
DOI: 10.5281/zenodo.17751647
title: D6.3 E3ME Model Dataset
DOI: 10.5281/zenodo.17741803
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp370 -  The Metropolitan City of Turin (CMTo, Italy)

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.17741804
title: DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp370 -  The Metropolitan City of Turin (CMTo, Italy)

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.