cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8327396
title: Institutional views on researcher mental health

description: This dataset contains qualitative data about institution's views on researcher mental health. The data was collected during the PRIDE 2023 Masterclass in Dubrovnik on the 6 September 2023, during a 1,5 hours long workshop about Researcher Mental Health. Participants represented professionals of doctoral education from 15 European universities or research performing organisations. Participants were asked about three main issues: 1, How does the mental wellbeing of researchers affect your organisation, the work environment, and research culture? How do you know that there is a mental health/wellbeing problem? (padlet-Institutional awareness.pdf) 2, What are the key elements of a healthy academic workplace at your institutions? What is in place and what is still missing? (padlet-Institutional requirements.pdf) 3, What actions are necessary for a healthy working environment? What interventions do you think are needed at your organisation? (padlet-institutional actions.pdf) Participants used Padlet to answer these questions and reflect on them during the workshop. The responses are anonymous. Altogether 27 participants contributed to this dataset. The presentation slides used during the workshop are available here: https://doi.org/10.5281/zenodo.8327451
description: The presentation and data collection was supported by the ReMO COST Action CA19117
DOI: 10.5281/zenodo.8327397
title: Institutional views on researcher mental health

description: This dataset contains qualitative data about institution's views on researcher mental health. The data was collected during the PRIDE 2023 Masterclass in Dubrovnik on the 6 September 2023, during a 1,5 hours long workshop about Researcher Mental Health. Participants represented professionals of doctoral education from 15 European universities or research performing organisations. Participants were asked about three main issues: 1, How does the mental wellbeing of researchers affect your organisation, the work environment, and research culture? How do you know that there is a mental health/wellbeing problem? (padlet-Institutional awareness.pdf) 2, What are the key elements of a healthy academic workplace at your institutions? What is in place and what is still missing? (padlet-Institutional requirements.pdf) 3, What actions are necessary for a healthy working environment? What interventions do you think are needed at your organisation? (padlet-institutional actions.pdf) Participants used Padlet to answer these questions and reflect on them during the workshop. The responses are anonymous. Altogether 27 participants contributed to this dataset. The presentation slides used during the workshop are available here: https://doi.org/10.5281/zenodo.8327451
description: The presentation and data collection was supported by the ReMO COST Action CA19117
DOI: 10.34740/kaggle/dsv/6445940
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6445945
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.6902961
title: LSTRAD

description: Test output from merging of retrievals of radiation and land surface temperature from geostationary MSG as well as land surface temperature retrievals from Sentinel-3 and albedo from Proba-V for a gap-free net radiation dataset covering Europe.
description: test dataset before release of updated version covering Europe
DOI: 10.5281/zenodo.7008066
title: LSTRAD

description: Test output from merging of retrievals of radiation and land surface temperature from geostationary MSG as well as land surface temperature retrievals from Sentinel-3 and albedo from Proba-V for a gap-free net radiation dataset covering Europe.
DOI: 10.5281/zenodo.7023775
title: LSTRAD

description: Output from merging of retrievals of radiation and land surface temperature from geostationary MSG as well as land surface temperature retrievals from Sentinel-3 and albedo from Proba-V for a gap-free net radiation dataset covering Europe.
DOI: 10.5281/zenodo.7026612
title: LSTRAD

description: Output from merging of retrievals of radiation and land surface temperature from geostationary MSG as well as land surface temperature retrievals from Sentinel-3 and albedo from Proba-V for a gap-free net radiation dataset covering Europe.
DOI: 10.5281/zenodo.6902960
title: LSTRAD

description: Gap-free 1 km net radiation and land surface temperature dataset covering Europe.<br> <br> The data is created by merging retrievals of radiation and land surface temperature from the geostationary MSG satellite with land surface temperature retrievals from the Sentinel-3 satellite as well as albedo from Proba-V.<br> <br> Version 0.35 has improved coast and inland water masking. This upload includes the net radiation data.
DOI: 10.5281/zenodo.8332148
title: LSTRAD

description: Output from merging of retrievals of radiation and land surface temperature from geostationary MSG as well as land surface temperature retrievals from Sentinel-3 and albedo from Proba-V for a gap-free net radiation dataset covering Europe.<br> <br> Version 0.33 has improved coast and inland water masking.
DOI: 10.6084/m9.figshare.24016173
title: Analysis-ready data set for the economic part of the thesis

description: This data set contains deforestation data for coastal British Columbia, disaggregated into a 1:20000 grid, and further subdivided into the different land use zones under the 2017 Great Bear Rainforest Forest Management Act. The deforestation data (produced with the Hansen GFC data set in Google Earth Engine) includes forest cover and forest cover loss in each year from 2000 to 2021, as well as spatially matched weather data and characteristics of each spatial unit.This data set is part of a master's thesis at Toulouse School of Economics. For any questions, refer to peter.kamal@t-online.de
DOI: 10.6084/m9.figshare.24016173.v1
title: Analysis-ready data set for the economic part of the thesis

description: This data set contains deforestation data for coastal British Columbia, disaggregated into a 1:20000 grid, and further subdivided into the different land use zones under the 2017 Great Bear Rainforest Forest Management Act. The deforestation data (produced with the Hansen GFC data set in Google Earth Engine) includes forest cover and forest cover loss in each year from 2000 to 2021, as well as spatially matched weather data and characteristics of each spatial unit.This data set is part of a master's thesis at Toulouse School of Economics. For any questions, refer to peter.kamal@t-online.de
DOI: 10.34740/kaggle/dsv/6446189
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.24115665
title: Data for the effect of music training on written language processing

description: reaction time data for the effect of music training on written language processing
DOI: 10.6084/m9.figshare.24099360.v1
title: <i>Manuscript Dataset</i>

description: Raw data used in the manuscript with calculations.
DOI: 10.5519/qd.cs2z1yea
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5281/zenodo.8332347
title: Geochronology and Geochemistry of Late Cenozoic Magmatism on Naozhou Island, Leiqiong Area: Implications for Deep Dynamic Processes

description: The files of "Metadata 1" and "Metadata 2" are new measured data. The file of "References dataset" is published data from previous studies.
DOI: 10.5281/zenodo.8332346
title: Geochronology and Geochemistry of Late Cenozoic Magmatism on Naozhou Island, Leiqiong Area: Implications for Deep Dynamic Processes

description: The files of "Metadata 1" and "Metadata 2" are new measured data. The file of "References dataset" is published data from previous studies.
DOI: 10.5517/ccdc.csd.cc20vtc2
title: CCDC 1872814: Experimental Crystal Structure Determination

description: Related Article: Elena Prieto, Jorge David Martín, Javier Nieto, Celia Andres|2023|Org.Biomol.Chem.|21|6940|doi:10.1039/D3OB01023F
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.cc28dgw1
title: CCDC 2097363: Experimental Crystal Structure Determination

description: Related Article: Elena Prieto, Jorge David Martín, Javier Nieto, Celia Andres|2023|Org.Biomol.Chem.|21|6940|doi:10.1039/D3OB01023F
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.8332386
title: Entrevista dialógica al Prof. Joaquín Tapeosí.

description: Fase 1 del ciclo de entrevistas dialógicas a profesores, gestores, artesanos, poetas, músicos de la ecorregión chiquitana de Bolivia.
description: Fase 1 del ciclo de entrevistas dialógicas a profesores, gestores, artesanos, poetas, músicos de la ecorregión chiquitana de Bolivia.
DOI: 10.5281/zenodo.8332385
title: Entrevista dialógica al Prof. Joaquín Tapeosí.

description: Fase 1 del ciclo de entrevistas dialógicas a profesores, gestores, artesanos, poetas, músicos de la ecorregión chiquitana de Bolivia.
description: Fase 1 del ciclo de entrevistas dialógicas a profesores, gestores, artesanos, poetas, músicos de la ecorregión chiquitana de Bolivia.
DOI: 10.5517/ccdc.csd.cc2571q6
title: CCDC 2002777: Experimental Crystal Structure Determination

description: Related Article: Dylan H. Harris, Samantha Brixi, Benjamin S. Gelfand, Benoît H. Lessard, Gregory C. Welch|2020|J.Mater.Chem.C|8|9811|doi:10.1039/D0TC02284E
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.8332408
title: Dataset for the paper "Under pressure. Exploring the impact of cognitive factors on clitics placement in L2 Slovak"

description: This paper investigates word order of clitics in L2 Slovak and the possible impact of cognitive factors on it. Based on data from learner corpus, the paper makes a first attempt at a more thorough inquiry of ordering patterns in the interlanguage of non-native speakers of Slovak to assess whether cognitive principles of contiguity, relevance, and verb-object bonding possibly have an effect on preferential clitics placement, irrespectively of L1. As proxies for cognitive effects on word order, linguistic and (psycho)linguistic predictors are used, such as proficiency level to consider the possible developmental patterns of word order competence and L1 language group of speakers (languages with clitics W-systems and C-systems within Slavic group). The dataset includes 1051 sentences with annotated erroneous placement of clitics from learner corpus errkorp-1.0 developed under the Slovak National Corpus. The data are further annotated manually with respect to relevant variables (type of clitic component, syntactic environment in which this component occurs, expected and actual distance of clitic component from matrix verb in terms of linear dependency segments and syntactic words, actual and expected position of clitic component on right or left periphery of the matrix verb, proficiency level according to CEFR and L1 language group of speakers).
DOI: 10.5281/zenodo.8332407
title: Dataset for the paper "Under pressure. Exploring the impact of cognitive factors on clitics placement in L2 Slovak"

description: This paper investigates word order of clitics in L2 Slovak and the possible impact of cognitive factors on it. Based on data from learner corpus, the paper makes a first attempt at a more thorough inquiry of ordering patterns in the interlanguage of non-native speakers of Slovak to assess whether cognitive principles of contiguity, relevance, and verb-object bonding possibly have an effect on preferential clitics placement, irrespectively of L1. As proxies for cognitive effects on word order, linguistic and (psycho)linguistic predictors are used, such as proficiency level to consider the possible developmental patterns of word order competence and L1 language group of speakers (languages with clitics W-systems and C-systems within Slavic group). The dataset includes 1051 sentences with annotated erroneous placement of clitics from learner corpus errkorp-1.0 developed under the Slovak National Corpus. The data are further annotated manually with respect to relevant variables (type of clitic component, syntactic environment in which this component occurs, expected and actual distance of clitic component from matrix verb in terms of linear dependency segments and syntactic words, actual and expected position of clitic component on right or left periphery of the matrix verb, proficiency level according to CEFR and L1 language group of speakers).
DOI: 10.5281/zenodo.8332427
title: Dialogical interview with Professor Vargas Deysi.

description: <pre>Dialogical interview with Professor Vargas Deysi. </pre>
description: Cultura, Chiquitana, Naturaleza, Folclore, Religiosidad, Patrimonio cultural inmaterial.
DOI: 10.5281/zenodo.8332426
title: Dialogical interview with Professor Vargas Deysi.

description: <pre>Dialogical interview with Professor Vargas Deysi. </pre>
description: Cultura, Chiquitana, Naturaleza, Folclore, Religiosidad, Patrimonio cultural inmaterial.
DOI: 10.34740/kaggle/ds/3721343
title: World Sugar Dataset 2018 - 2024
DOI: 10.6084/m9.figshare.24115842
title: 20230911_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24115842.v1
title: 20230911_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24115812.v1
title: <b>30 by 30 for plant diversity: how can we protect more of nature?</b>

description: <b>specimen_localities_for_mapping_trait_hypervolumes.csv</b>Point localities of specimens held in natural history collections for a random sample of 575 angiosperm species that all occur in the continent of Africa. Some of the localities were georeferenced as part of this research. Localities were spatially disaggregated using the R package <i>ecospat</i> prior to use in Species Distribution Models that were then used to spatially project biodiversity metrics.Fields:1. SourceHow the specimen locality data was obtained: <b>GBIF</b> = from the Global Biodiversity Information Facility, <b>TROPICOS</b><b> </b>= from Tropicos.org. Missouri Botanical Garden, <b>Taxonomic_literature</b> = specimens cited in published taxonomic literature, <b>Kew_herbarium</b><b> </b>= specimens seen by authors in the herbarium of the Royal Botanic Gardens, Kew, London. <b>RAINBIO =</b> RAINBIO species checklist of tropical African vascular plants, <b>LMA_herbarium</b> = specimens seen by authors in the herbarium of the Agricultural Research Institute of Mozambique, Maputo, Mozambique, <b>Kitwe_herbarium</b> = specimens seen by authors in the herbarium of the Division of Forest Research Forestry Department, Kitwe, Zambia, <b>Edinburgh_herbarium</b> = specimens seen by authors in the herbarium of the Royal Botanic Garden Edinburgh, <b>Windhoek_herbarium</b> = specimens seen by authors in the herbarium of the National Herbarium of Namibia, <b>UPS_herbarium</b><b> </b>= specimens seen by authors in the herbarium of the Museum of Evolution, Uppsala, Sweden.2. Identitiy_numberIdentity number applied by GBIF to the specimen record3. scientificNameBinomial species name4. CountryCountry in which the specimen was made5. localityTextual description of the locality in which the specimen was made6. habitatTextual description of the habitat in which the specimen was made7. dayDay of the month on which the specimen was made8. monthMonth of the year on which the specimen was made9. yearYear in which the specimen was made10. recordedByPerson or people who made the specimen11. rec.NumberNumber given by collector to collection12. Error.Diam.Spatial error of georefencing (km)13. Min_Elev.M.Minimum altitude (m)14. Max_Elev.M.Maximum altitude (m)15. decimalLatitudeCoordinates of latitude16. decimalLongitudeCoordinates of longitude17. Label..notesAdditional information recorded about the location of specimen collection18. GeoreferencedWhether each specimen record was (1) or was not (0) georeferenced (i.e. coordinates inferred from a textual description of locality) during this research<br><b>taxonomic_references_from_which_trait_values_obtained.docx</b>Taxonomic publications from which trait values were extracted.
DOI: 10.15468/dl.t3fxzp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptopanchax citrinipinnis (Costa, Lacerda & Tanizaki, 1988))",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093331-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13370326
title: Global Dataset for GRASS GIS

description: Global Dataset for GRASS GISThis geospatial dataset contains global raster and vector data. The top level directory global-dataset is a GRASS GIS location for the World Geodetic System 1984 (WGS84) with EPSG code 4326. Inside the location there is the PERMANENT mapset, a license file, and readme file.

InstructionsInstall GRASS GIS, unzip this archive, and move the location into your GRASS GIS database directory. If you are new to GRASS GIS read the first time users guide.

Data Sources



Natural Earth

Protected Planet

NASA Blue Marble

WWF HydroSHEDS

WWF Terrestrial Ecoregions of the World


LicenseThis dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon and Paulo van Breugel.
DOI: 10.5281/zenodo.3359631
title: Global Dataset for GRASS GIS

description: Global Dataset for GRASS GISThis geospatial dataset contains global raster and vector data. The top level directory global-dataset is a GRASS GIS location for the World Geodetic System 1984 (WGS84) with EPSG code 4326. Inside the location there is the PERMANENT mapset, a license file, and readme file.

InstructionsInstall GRASS GIS, unzip this archive, and move the location into your GRASS GIS database directory. If you are new to GRASS GIS read the first time users guide.

Data Sources



Natural Earth

Protected Planet

NASA Blue Marble

WWF HydroSHEDS

WWF Terrestrial Ecoregions of the World


LicenseThis dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon and Paulo van Breugel.
DOI: 10.15468/dl.szd93x
title: Occurrence Download

description: A dataset containing 6016 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Cantharis decipiens Baudi, 1871",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 6016 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093332-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqg6y6
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Thomisus citrinellus Simon, 1875",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 172 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093333-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6rwzv
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Harpalus tenebrosus Dejean, 1829",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 262 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093334-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzmqaf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Delturus parahybae Eigenmann & Eigenmann, 1889)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093336-240626123714530/datasets/export for details.
DOI: 10.15468/dl.h9fsh2
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-154.36195 8.16548,-37.63805 8.16548,-37.63805 54.83452,-154.36195 54.83452,-154.36195 8.16548))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bassariscus astutus (Lichtenstein, 1830)",
 "Year 2024-2024"
 ]
}

 The dataset includes 378 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093335-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13370131
title: Natural Earth Dataset for GRASS GIS

description: Basic Global Dataset for GRASS GISThis geospatial dataset contains global raster and vector data from Natural Earth. The top level directory global-dataset is a GRASS GIS location for the World Geodetic System 1984 (WGS84) with EPSG code 4326. Inside the location there is the PERMANENT mapset, a license file, and readme file.

InstructionsInstall GRASS GIS, extract this archive, and move the location into your GRASS GIS database directory. If you are new to GRASS GIS read the first time users guide.

Data Source



Natural Earth


LicenseThis dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon and Paulo van Breugel.