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

description: A dataset containing 5272 records in GBIF matching the query:

SELECT
 GBIF_ISEA3HCode(
 7, 
 decimalLatitude,
 decimalLongitude,
 COALESCE(coordinateUncertaintyInMeters, 1000)
 ) AS geogrid_id,
 CASE 
 WHEN classKey IN ('359') THEN 'Mammals'
 WHEN classKey IN ('212') THEN 'Birds'
 WHEN familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879') THEN 'Bony Fish'
 WHEN classKey IN ('131') THEN 'Amphibians'
 WHEN classKey IN ('216') THEN 'Insects'
 WHEN classKey IN ('11418114', '11569602', '11592253', '11493978') THEN 'Reptiles'
 WHEN phylumKey IN ('52') THEN 'Molluscs'
 WHEN classKey IN ('367') THEN 'Arachnids'
 WHEN classKey IN ('220', '196') THEN 'Flowering Plants'
 WHEN classKey IN ('194', '244', '228', '282') THEN 'Gymnosperms'
 WHEN orderKey IN ('392') THEN 'Ferns'
 WHEN phylumKey IN ('35') THEN 'Mosses'
 WHEN phylumKey IN ('95') THEN 'Sac Fungi'
 WHEN phylumKey IN ('34') THEN 'Basidiomycota'
 ELSE 'Other'
 END AS taxonomic_group,
 COUNT(DISTINCT speciesKey) AS species_count
FROM occurrence
WHERE countryCode = 'AU'
 AND hasCoordinate = TRUE
 AND hasGeospatialIssues = FALSE
 AND coordinateUncertaintyInMeters &lt;= 2000
 AND occurrenceStatus = 'PRESENT'
 AND speciesKey IS NOT NULL
 AND basisOfRecord != 'FOSSIL_SPECIMEN'
 AND taxonRank = 'SPECIES'
 AND (
 classKey IN ('359', '212', '131', '216', '11418114', '11569602', '11592253', '11493978', '367', '220', '196', '194', '244', '228', '282')
 OR familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879')
 OR phylumKey IN ('52', '35', '95', '34')
 OR orderKey IN ('392')
 )
GROUP BY geogrid_id, taxonomic_group;


 The dataset's 5272 records were derived from 659 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029189-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jjmep
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oriolus flavocinctus tiwi"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015053-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub7hu8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xanthium spinosum",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015055-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15895829
title: JRC-IDEES-2021

description: The JRC-IDEES-2021 release contains a consistent set of disaggregated energy-economy-emissions data for each Member State of the European Union, covering all sectors of the energy system for the 2000-2021 period: industry, buildings, transport, and power generation.

 

For further details refer to the primary source - https://data.jrc.ec.europa.eu/dataset/82322924-506a-4c9a-8532-2bdd30d69bf5
DOI: 10.5281/zenodo.15895830
title: JRC-IDEES-2021

description: The JRC-IDEES-2021 release contains a consistent set of disaggregated energy-economy-emissions data for each Member State of the European Union, covering all sectors of the energy system for the 2000-2021 period: industry, buildings, transport, and power generation.

 

For further details refer to the primary source - https://data.jrc.ec.europa.eu/dataset/82322924-506a-4c9a-8532-2bdd30d69bf5
DOI: 10.7266/4dehbk1a
title: Dataset for: Use of chemical concentration changes in coastal sediments to compute oil exposure dates
DOI: 10.26183/2s74-wa67
title: Data from the project titled ENhancinG Assessment marking among academics in nursinG EDucation (The ENGAGED study)

description: The Phase 1 survey was sent to academic staff (permanent and sessional) was distributed via a research assistant to ensure that there was no undue influence as the chief researcher held the position of Director Academic Workforce-Sessional. Data collected included statistical data regarding academic participant demographics in relation to education status, country of obtaining their initial registered nurse qualifications, if they were a registered nurse or 'other' academic involved with marking in the SoNM, such as a bioscientist or researcher. Years of being a registered nurse, years of marking experience at WSU and other tertiary institutions. This created the quantitative dataset.

The survey created used the literature review to determine the questions asked. The survey contained four areas of interest, including the participant experiences with marking, their confidence with marking, attitude towards marking, motivation to mark, their practices and their beliefs about marking and assessments (CAMPB). These were classified into Quality and Standards, Consistency and Variability, Practices and Beliefs, Training and Supports. 

From the survey, the project utilized qualitative data, academic participants were asked if they would be willing to partake in the Phase 2 paired interviews (with another academic of their choice).  Permanent academic staff were then interviewed by the chief researcher. Sessional staff were interviewed by the research assistant. For the paired interviews students were also included, a message was sent by an admin person to all enrolled students in the BN, students were interviewed by the chief researcher as no student was a student of the chief researcher. 

Following the paired interviews, staff and students were invited to participate in Phase 3, further qualitative focus groups, wherein staff and students were combined. 

Data was collected from 2020-2023 at Western Sydney University, School of Nursing and Midwifery. Undergraduate nursing and midwifery students and staff. Campuses were Parramatta, Campbelltown, Liverpool and Campbelltown.
DOI: 10.15468/dl.v7mcwp
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015056-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zkyx7
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Aedes alboannulatus"
 ]
}

 The dataset includes 357 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015058-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g85snw
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Anopheles quadrimaculatus"
 ]
}

 The dataset includes 177 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015059-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jv9au
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xanthium spinosum",
 "Country is Kiribati",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015060-250711103210423/datasets/export for details.
DOI: 10.15468/dl.mqnt3x
title: Occurrence Download

description: A dataset containing 42342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hirschfeldia incana"
 ]
}

 The dataset includes 42342 records from 668 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015052-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpnu2v
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Lithobates fisheri)"
 ]
}

 The dataset includes 134 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015061-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15896156
title: ClinvArbitration data release - July 2025

description: This file is a tarball representing the ClinvArbitration re-summary of ClinVar's raw submissions. The ClinvArbitration project represents an altered aggregation of the individual submissions, preferring to break ties when presented with submissions which don't all agree, instead of defaulting to a rating of "conflicting interpretations of pathogenicity". This leads to more variants being presented as either B/LB, or P/LP, and a reduced grey area between.

This work contains two main elements:



The raw results of the re-interpretation of ClinVar, presented as a TSV and a Hail Table

A second project to build on top of this and deliver annotations approximating the PM5 consequence category according to the ACMG criteria.


This second part is not easily applied by existing tools, and represents the following:



For each Pathogenic SNV in ClinVar, we annotate the variants using BCFtools CSQ. For each Pathogenic SNV which is also a Missense variant, we reogrganise the data to be indexed on Transcript and Codon number. This can then be inverted to annotate genetic variation - if a variant is a Missense, and a ClinVar pathogenic Missense variant exists affecting the same Codon, we annotate the Missense with co-located known pathogenic ClinVar entries, in case this contributes to the interpretation of the variant under investigation.


I would like to acknowledge that since this side project started, a substantial curation effort has been made in ClinVar, so the gap between the standard and re-interpreted ClinVar results has closed substantially. The exact data format presented here is required by Talos, a whole-Exome/Genome variant prioritisation tool, so despite the increasing consistency between the two results sets this exact data format should continue to be distributed.

These monthly summaries were previously released on the GitHub Release Page for the ClinvArbitration tool, but the max data size for attachments has been reached. Going forward, Zenodo makes sense as a home for release of these files.
DOI: 10.15468/dl.ynfhc6
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sida rhombifolia",
 "Country is Vanuatu",
 "HasCoordinate is true"
 ]
}

 The dataset includes 37 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015062-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbad86
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba surculosa"
 ]
}

 The dataset includes 366 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015063-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enqek8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xanthium spinosum",
 "Country is Korea (Democratic People’s Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015064-250711103210423/datasets/export for details.
DOI: 10.15468/dl.sgfjg6
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sitana spinaecephalus"
 ]
}

 The dataset includes 135 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015065-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3wngh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACF7243"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015066-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29566028
title: <b>Consumer Personal Data Protection in the PayLater Ecosystem: Cyber Law Challenges in the Fintech Era</b>

description: Daftar Referensi dan Hasil Wawancara<br>The increasing popularity of PayLater services in Indonesia’s digital financial ecosystem has raised significant concerns regarding the protection of consumer personal data. While these services offer convenience and broaden access to credit, they also involve the large-scale collection of sensitive personal information, including national ID numbers, financial records, and contact data, often without sufficient transparency or informed consent. This study applies a normative juridical approach to examine the effectiveness of existing legal instruments—specifically Law No. 27 of 2022 on Personal Data Protection, the Consumer Protection Law No. 8 of 1999, the Electronic Information and Transactions Law, and related OJK regulations (POJK No. 10/2022 and POJK No. 22/2023). Findings indicate substantial gaps between the legal framework and its enforcement, with many fintech providers operating without adequate internal data protection policies or clear accountability mechanisms. Real-world cases reveal that consumers frequently suffer from unauthorized transactions and misuse of personal data without effective recourse. This paper argues for the implementation of strict liability principles, the establishment of an integrated oversight framework, and improved legal literacy to ensure meaningful protection of personal data in<i> </i>PayLater services and promote a more accountable and rights-based digital economy.
DOI: 10.6084/m9.figshare.29566028.v1
title: <b>Consumer Personal Data Protection in the PayLater Ecosystem: Cyber Law Challenges in the Fintech Era</b>

description: Daftar Referensi dan Hasil Wawancara<br>The increasing popularity of PayLater services in Indonesia’s digital financial ecosystem has raised significant concerns regarding the protection of consumer personal data. While these services offer convenience and broaden access to credit, they also involve the large-scale collection of sensitive personal information, including national ID numbers, financial records, and contact data, often without sufficient transparency or informed consent. This study applies a normative juridical approach to examine the effectiveness of existing legal instruments—specifically Law No. 27 of 2022 on Personal Data Protection, the Consumer Protection Law No. 8 of 1999, the Electronic Information and Transactions Law, and related OJK regulations (POJK No. 10/2022 and POJK No. 22/2023). Findings indicate substantial gaps between the legal framework and its enforcement, with many fintech providers operating without adequate internal data protection policies or clear accountability mechanisms. Real-world cases reveal that consumers frequently suffer from unauthorized transactions and misuse of personal data without effective recourse. This paper argues for the implementation of strict liability principles, the establishment of an integrated oversight framework, and improved legal literacy to ensure meaningful protection of personal data in<i> </i>PayLater services and promote a more accountable and rights-based digital economy.
DOI: 10.15468/dl.p7ajfj
title: Occurrence Download

description: A dataset containing 3642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Lithobates grylio)"
 ]
}

 The dataset includes 3642 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015067-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm88yv
title: Occurrence Download

description: A dataset containing 182271 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taiwan New Year Bird Count"
 ]
}

 The dataset includes 182271 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015054-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbjfg3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trapa natans",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015068-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25j4as
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trapa natans",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015069-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb2cjc
title: Occurrence Download

description: A dataset containing 1288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidurus arcticus"
 ]
}

 The dataset includes 1288 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015070-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aq77fr
title: Occurrence Download

description: A dataset containing 1075112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-05-19",
 "EventDate is less than or equal to 2025-06-18",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 1075112 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015045-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mxgbs
title: Occurrence Download

description: A dataset containing 5943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myriophyllum alterniflorum",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5943 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015073-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3rxj2
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cochlearia macrorrhiza"
 ]
}

 The dataset includes 111 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015072-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrvwzn
title: Occurrence Download

description: A dataset containing 12753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trapa natans",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12753 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015074-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.