cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fwfjk8
title: Occurrence Download

description: A dataset containing 17295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen)",
 "Country is Chile",
 "TaxonKey is one of (Cavia tschudii Fitzinger, 1857, Galea musteloides Meyen, 1833, Microcavia australis (I.Geoffroy Saint-Hilaire & d'Orbigny, 1833), Microcavia niata (Thomas, 1898), Chinchilla chinchilla (Lichtenstein, 1829), Chinchilla lanigera Bennett, 1829, Lagidium peruanum Meyen, 1833, Lagidium viscacia (Molina, 1782), Lagidium wolffsohni (Thomas, 1907), Abrocoma bennettii Waterhouse, 1837, Abrocoma cinerea Thomas, 1919, Ctenomys fodax Thomas, 1910, Ctenomys fulvus Philippi, 1860, Ctenomys magellanicus Bennett, 1836, Ctenomys maulinus Philippi, 1872, Ctenomys opimus Wagner, 1848, Ctenomys sericeus J.A.Allen, 1903, Aconaemys fuscus (Waterhouse, 1842), Aconaemys porteri Thomas, 1917, Aconaemys sagei Pearson, 1984, Octodon bridgesi Waterhouse, 1845, Octodon degus (Molina, 1782), Octodon lunatus Osgood, 1943, Octodon pacificus Hutterer, 1994, Octodontomys gliroides (Gervais & d'Orbigny, 1844), Spalacopus cyanus (Molina, 1782), Chinchillula sahamae Thomas, 1898, Abrothrix andinus (Philippi, 1858), Abrothrix hirta (Thomas, 1895), Abrothrix jelskii (Thomas, 1894), Abrothrix lanosus (Thomas, 1897), Abrothrix longipilis (Waterhouse, 1837), Abrothrix manni D'Elia, Teta, Upham, Pardinas & Patterson, 2015, Abrothrix olivaceus (Waterhouse, 1837), Abrothrix sanborni (Osgood, 1943), Paynomys macronyx (Thomas, 1894), Geoxus annectens Patterson, 1992, Geoxus lafkenche Teta & D'Elía, 2016, Geoxus michaelseni (Matschie, 1898), Geoxus valdivianus (Philippi, 1858), Chelemys megalonyx (Waterhouse, 1845), Notiomys edwardsii (Thomas, 1890), Akodon albiventer Thomas, 1897, Akodon iniscatus Thomas, 1919, Andinomys edax Thomas, 1902, Euneomys chinchilloides (Waterhouse, 1839), Euneomys mordax Thomas, 1912, Irenomys tarsalis (Philippi, 1900), Neotomys ebriosus Thomas, 1894, Oligoryzomys longicaudatus (Bennett, 1832), Auliscomys boliviensis (Waterhouse, 1846), Auliscomys sublimis (Thomas, 1900), Calomys lepidus (Thomas, 1884), Eligmodontia dunaris Spotorno, Zuleta R., Walker, Manriquez S., Valladares F. & Marin, 2013, Eligmodontia hirtipes (Thomas, 1902), Eligmodontia morgani J.A.Allen, 1901, Eligmodontia puerulus (Philippi, 1896), Eligmodontia typus F.Cuvier, 1837, Loxodontomys micropus (Waterhouse, 1837), Phyllotis darwini (Waterhouse, 1837), Phyllotis limatus Thomas, 1912, Phyllotis magister Thomas, 1912, Phyllotis osgoodi Mann, 1945, Phyllotis xanthopygus (Waterhouse, 1837), Reithrodon auritus (Fischer, 1814))"
 ]
}

 The dataset includes 17295 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069494-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqxxxp
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oreotrochilus adela (d'Orbigny, 1838))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 378 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297596-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a47y8v
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND",
 "OccurrenceStatus is Present",
 "TaxonKey is Huberantha cerasoides (Roxb.) Chaowasku"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301198-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6c89se
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tolmomyias viridiceps (P.L.Sclater & Salvin, 1873))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 79 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291804-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wurx6q
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Bulbophyllum omerandrum Hayata"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052598-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4f8bb
title: Occurrence Download

description: A dataset containing 71785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Puccinellia distans (Jacq.) Parl.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71785 records from 484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067552-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjjh4q
title: Occurrence Download

description: A dataset containing 3962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea rubens Sarg.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3962 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297597-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmv2td
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ammonastes pelzelni (P.L.Sclater, 1890))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 310 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291810-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr2jnw
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aconitum apetalum (Huth) B.Fedtsch."
 ]
}

 The dataset includes 14 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301165-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64yqsz
title: Occurrence Download

description: A dataset containing 1098 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxyrhopus rhombifer Duméril, Bibron & Duméril, 1854"
 ]
}

 The dataset includes 1098 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069502-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11507625
title: МЕТОДЫ ОБУЧЕНИЯ АНГЛИЙСКОГО ЯЗЫКА, УЧЕНИКАМ НАЧАЛЬНОЙ ШКОЛЫ
DOI: 10.5281/zenodo.11507626
title: МЕТОДЫ ОБУЧЕНИЯ АНГЛИЙСКОГО ЯЗЫКА, УЧЕНИКАМ НАЧАЛЬНОЙ ШКОЛЫ
DOI: 10.15468/dl.eavub6
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.30_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Porphyrio porphyrio (Linnaeus, 1758)",
 "Year 2000-2020"
 ]
}

 The dataset includes 229 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004441-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93tn2u
title: Occurrence Download

description: A dataset containing 18857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Morococcyx erythropygus (Lesson, 1842))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18857 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291822-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e239703v1
title: Code for: Minimum Legal Drinking Age and Educational Outcomes

description: We provide the replication code for the paper titled "Minimum Legal Drinking Age and Educational Outcomes". In this paper, we study the impact of raising the minimum legal drinking age (MLDA) from 16 to 18 on adolescent outcomes in Spain. We exploit the staggered timing of these reforms across Spanish regions to identify causal effects. We find that MLDA increases reduced alcohol consumption among 14-17 year-olds by 7 to 17%, improved exam performance by 4% of a standard deviation, and decreased the use of anxiolytics and hypnosedatives by 10%. These results suggest that reducing teenage alcohol access can significantly improve educational outcomes and mental health. The replication package includes all code necessary to reproduce the tables and figures in the paper. While the raw data are subject to confidentiality restrictions and cannot be redistributed in this package, all datasets can be obtained directly from the original providers following the detailed access procedures documented below.
DOI: 10.15468/dl.p5sjh6
title: Occurrence Download

description: A dataset containing 161 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 2932949 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2932949 OR CAST(occurrence.kingdomkey AS INTEGER) = 2932949 OR CAST(occurrence.phylumkey AS INTEGER) = 2932949 OR CAST(occurrence.classkey AS INTEGER) = 2932949 OR CAST(occurrence.orderkey AS INTEGER) = 2932949 OR CAST(occurrence.familykey AS INTEGER) = 2932949 OR CAST(occurrence.genuskey AS INTEGER) = 2932949 OR CAST(occurrence.specieskey AS INTEGER) = 2932949)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 161 records were derived from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018002-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tvphx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plecturocebus stephennashi"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018027-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24t5bg
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plecturocebus moloch"
 ]
}

 The dataset includes 583 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018026-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbkmg8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haeckelia beehleri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018028-251025141854904/datasets/export for details.
DOI: 10.15468/dl.sn3veb
title: Occurrence Download

description: A dataset containing 84283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus angustifolia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 84283 records from 776 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017996-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10687225
title: Dataset for Paradata in data publishing – an analysis of methods information in data publishing metadata

description: The purpose of the data collection is to provide new knowledge about practices of including metadata describing research methods in the documentation of published datasets. This metadata is understood as a particular form of paradata.

The chapter written based on the data analyzes metadata posts for datasets using directed qualitative content analysis to inquire into the contents of methods descriptions and the goals they serve. Results show that methods information in metadata posts do not in and of themselves serve to support re-use of the datasets they describe. Rather, researchers use the metadata post as a node in an information ecosystem where other pivotal nodes are the dataset itself but also related documents and publications with narrative text. To conclude, we identify a discrepancy between the the ideas about exhaustive bibliographic descriptions underpinning the FAIR principles on the one hand, and data description and data publishing practices on the other hand. We suggest further research on researchers’ intertextual crafting of methods descriptions, and how repository software and curatorial services better can support researchers’ practices.

 
description: The dataset consists of an excel spreadsheet analyzing practices of including metadata describing research methods in the documentation of published datasets.

A multidisciplinary set of metadata posts covering medicine, digital humanities, environmental science, bioarchaeology and information science, were harvested from the Zenodo repository. Search strategies for each disciplinary area are documented in the excel file as well as the results each strategy yielded.

Each metadata post is analyzed to identify its identifying information (search term, dataset reference), general description (keywords and subject, character of keywords and subjects, appended paper, language, year published, total size, types of files, views, downloads), methods information in the metadata post (explicit data manager/point of contact, methods information in the metadata post, character of the methods information, goals the methods description is serving), and methods information outside of the metadata post (methods information in a related publication or in the dataset, character of the methods information outside of the metadata post).

The method for analysis is directed qualitative content analysis. Although all five disciplinary areas were analyzed with the same matrix, there are slight variations in the application of the matrix across the disciplines, due to differences in the material and differences in the analytical approaches between the five contributing data collectors.

Therefore, the data serves as an insight into the data for the chapter based on the data, and as inspiration for further research on the content of metadata posts. The data in its current state is not suitable for quantitative analysis.

For questions regarding the dataset, please contact the data manager as listed above.
DOI: 10.5281/zenodo.10687226
title: Dataset for Paradata in data publishing – an analysis of methods information in data publishing metadata

description: The purpose of the data collection is to provide new knowledge about practices of including metadata describing research methods in the documentation of published datasets. This metadata is understood as a particular form of paradata.

The chapter written based on the data analyzes metadata posts for datasets using directed qualitative content analysis to inquire into the contents of methods descriptions and the goals they serve. Results show that methods information in metadata posts do not in and of themselves serve to support re-use of the datasets they describe. Rather, researchers use the metadata post as a node in an information ecosystem where other pivotal nodes are the dataset itself but also related documents and publications with narrative text. To conclude, we identify a discrepancy between the the ideas about exhaustive bibliographic descriptions underpinning the FAIR principles on the one hand, and data description and data publishing practices on the other hand. We suggest further research on researchers’ intertextual crafting of methods descriptions, and how repository software and curatorial services better can support researchers’ practices.

 
description: The dataset consists of an excel spreadsheet analyzing practices of including metadata describing research methods in the documentation of published datasets.

A multidisciplinary set of metadata posts covering medicine, digital humanities, environmental science, bioarchaeology and information science, were harvested from the Zenodo repository. Search strategies for each disciplinary area are documented in the excel file as well as the results each strategy yielded.

Each metadata post is analyzed to identify its identifying information (search term, dataset reference), general description (keywords and subject, character of keywords and subjects, appended paper, language, year published, total size, types of files, views, downloads), methods information in the metadata post (explicit data manager/point of contact, methods information in the metadata post, character of the methods information, goals the methods description is serving), and methods information outside of the metadata post (methods information in a related publication or in the dataset, character of the methods information outside of the metadata post).

The method for analysis is directed qualitative content analysis. Although all five disciplinary areas were analyzed with the same matrix, there are slight variations in the application of the matrix across the disciplines, due to differences in the material and differences in the analytical approaches between the five contributing data collectors.

Therefore, the data serves as an insight into the data for the chapter based on the data, and as inspiration for further research on the content of metadata posts. The data in its current state is not suitable for quantitative analysis.

For questions regarding the dataset, please contact the data manager as listed above.
DOI: 10.15468/dl.rjygaf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haeckelia bimaculata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018030-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17533770
title: SARS-CoV-2 Sequenzdaten aus Deutschland

description: Im Datensatz "SARS-CoV-2-Sequenzdaten aus Deutschland" umfasst vollständige Virusgenomsequenzen sowie zugehörige Metadaten aus bundesweit erhobenen Proben. Die Proben werden in Zusammenarbeit vom IMSSC2-Labornetzwerk, dem Nationalen Referenzzentrum für Coronaviren an der Charité sowie dem RKI sequenziert und bioinformatisch analysiert. Der Datensatz ermöglicht eine fundierte molekular-epidemiologische Analyse der SARS-CoV-2-Ausbreitung in Deutschland und stellt eine zentrale Ressource für Forschung und öffentliche Gesundheitsüberwachung dar.
DOI: 10.5281/zenodo.17534176
title: Analisis Swot
DOI: 10.5281/zenodo.17534175
title: Analisis Swot
DOI: 10.5281/zenodo.17455424
title: INSPIRE_T1.5 - Data to create Rural Exclusion Typologies in EU at NUTS3 level - First version_Dataset 1_2025_09_15_v1

description: Data to create Rural Exclusion Typologies in EU at NUTS3 level. Disclaimer: The report has not yet been approved by the EC and is therefore subject to potential revision.
DOI: 10.5281/zenodo.17455425
title: INSPIRE_T1.5 - Data to create Rural Exclusion Typologies in EU at NUTS3 level - First version_Dataset 1_2025_09_15_v1

description: Data to create Rural Exclusion Typologies in EU at NUTS3 level. Disclaimer: The report has not yet been approved by the EC and is therefore subject to potential revision.