cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gajb5p
title: Occurrence Download

description: A dataset listing the 3983486 species recorded in GBIF matching the query:
{ }

 The dataset's 3983486 records were derived from 62205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022834-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/worcc6
title: PAN-00181789 - Roman decorative nail A

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00181789&lt;/p&gt;
description: Modified: 2025-11-04T13:58:23+01:00
DOI: 10.15468/dl.g7ed55
title: Occurrence Download

description: A dataset containing 1205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is one of (Jamaica, Puerto Rico, Cuba, Martinique, Dominican Republic, Virgin Islands (U.S.))",
 "Year 1000-1801"
 ]
}

 The dataset includes 1205 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039263-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e72j6c
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039264-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eykhkm
title: Occurrence Download

description: A dataset containing 169225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2025-2025"
 ]
}

 The dataset includes 169225 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039243-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17861301
title: Emotion, Identity & Creativity in the Age of AI (Dataset, n = 507)

description: This dataset is part of the Human Clarity Institute’s AI–Human Experience 2025 data series. It examines how AI use shapes emotional experience, personal identity, and creative originality, including emotional shifts, identity alignment and authenticity, and changes in creativity, meaning-making, and cognitive depth.

The dataset includes:• validated 1–7 Likert-scale items• measures of emotional influence, identity disruption or reinforcement, authenticity, originality, depth of thinking, and personal meaning• indicators of cognitive alignment, internal conflict, self-evaluation, and reliance on AI tools for thought validation• multi-select variables stored as canonical semicolon-delimited snake_case tokens (none included in this dataset)• open-text reflections with minimal safe cleaning (trim + newline removal only)• demographic variables across six English-speaking countries• AI-tool usage frequency and participation context variables

Data were collected on 19 November 2025 via Prolific from adults in the UK, US, Australia, Canada, New Zealand, and Ireland.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:

• canonical snake_case variable naming• validated numeric ranges• standardised categorical formats• minimal safe text cleaning• full alignment with the accompanying data dictionary• removal of Prolific IDs and timestamps• SHA-256 checksums for all files

This dataset contributes to understanding how AI interacts with human emotions, identity, creativity, and meaning-making, supporting longitudinal tracking of human autonomy, psychological wellbeing, and the evolving inner experience of AI use as part of daily life.
DOI: 10.5281/zenodo.17653906
title: Emotion, Identity & Creativity in the Age of AI (Dataset, n = 507)

description: This dataset is part of the Human Clarity Institute’s AI–Human Experience 2025 data series. It examines how AI use shapes emotional experience, personal identity, and creative originality, including emotional shifts, identity alignment and authenticity, and changes in creativity, meaning-making, and cognitive depth.

The dataset includes:• validated 1–7 Likert-scale items• measures of emotional influence, identity disruption or reinforcement, authenticity, originality, depth of thinking, and personal meaning• indicators of cognitive alignment, internal conflict, self-evaluation, and reliance on AI tools for thought validation• multi-select variables stored as canonical semicolon-delimited snake_case tokens (none included in this dataset)• open-text reflections with minimal safe cleaning (trim + newline removal only)• demographic variables across six English-speaking countries• AI-tool usage frequency and participation context variables

Data were collected on 19 November 2025 via Prolific from adults in the UK, US, Australia, Canada, New Zealand, and Ireland.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:

• canonical snake_case variable naming• validated numeric ranges• standardised categorical formats• minimal safe text cleaning• full alignment with the accompanying data dictionary• removal of Prolific IDs and timestamps• SHA-256 checksums for all files

This dataset contributes to understanding how AI interacts with human emotions, identity, creativity, and meaning-making, supporting longitudinal tracking of human autonomy, psychological wellbeing, and the evolving inner experience of AI use as part of daily life.
DOI: 10.15468/dl.g7jwv7
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia reflexa"
 ]
}

 The dataset includes 309 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039265-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugrnp4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.163 0.671184, 103.092732 0.665617, 103.024195 0.649052, 102.959076 0.621897, 102.89898 0.584821, 102.845385 0.5387380000000001, 102.799612 0.484781, 102.762788 0.42428, 102.735818 0.358725, 102.719367 0.28973, 102.713839 0.218993, 102.719371 0.148257, 102.735826 0.079262, 102.762798 0.013709, 102.799625 -0.04679, 102.845399 -0.100745, 102.898993 -0.146826, 102.959087 -0.1839, 103.024203 -0.211053, 103.092736 -0.227618, 103.163 -0.233185, 103.233264 -0.227618, 103.301797 -0.211053, 103.366913 -0.1839, 103.427007 -0.146826, 103.480601 -0.100745, 103.526375 -0.04679, 103.563202 0.013709, 103.590174 0.079262, 103.606629 0.148257, 103.612161 0.218993, 103.606633 0.28973, 103.590182 0.358725, 103.563212 0.42428, 103.526388 0.484781, 103.480615 0.5387380000000001, 103.42702 0.584821, 103.366924 0.621897, 103.301805 0.649052, 103.233268 0.665617, 103.163 0.671184))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039269-251120083545085/datasets/export for details.
DOI: 10.15468/dl.kjxvyd
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Alsodes coppingeri"
 ]
}

 The dataset includes 33 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039270-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmfup9
title: Occurrence Download

description: A dataset containing 10317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scolelepis korsuni",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10317 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039268-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vygy6d
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia regla"
 ]
}

 The dataset includes 484 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039271-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/9lehd1
title: PAN-00181047 - Fragment of twisted bracelet

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00181047&lt;/p&gt;
description: Modified: 2025-10-24T16:50:11+02:00
DOI: 10.15468/dl.s2rx4h
title: Occurrence Download

description: A dataset containing 41913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "TaxonKey is Aves",
 "MediaType is Image",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41913 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039272-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxypcm
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia reptans"
 ]
}

 The dataset includes 322 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039274-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv45mb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((109.531 0.674184, 109.460732 0.668617, 109.392195 0.652052, 109.327076 0.624897, 109.26698 0.587821, 109.213385 0.5417380000000001, 109.167612 0.487781, 109.130787 0.42728, 109.103818 0.361725, 109.087367 0.29273, 109.081839 0.221993, 109.087371 0.151257, 109.103826 0.082262, 109.130798 0.016709, 109.167625 -0.04379, 109.213399 -0.097745, 109.266993 -0.143826, 109.327087 -0.1809, 109.392203 -0.208053, 109.460736 -0.224618, 109.531 -0.230185, 109.601264 -0.224618, 109.669797 -0.208053, 109.734913 -0.1809, 109.795007 -0.143826, 109.848601 -0.097745, 109.894375 -0.04379, 109.931202 0.016709, 109.958174 0.082262, 109.974629 0.151257, 109.980161 0.221993, 109.974633 0.29273, 109.958182 0.361725, 109.931213 0.42728, 109.894388 0.487781, 109.848615 0.5417380000000001, 109.79502 0.587821, 109.734924 0.624897, 109.669805 0.652052, 109.601268 0.668617, 109.531 0.674184))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039275-251120083545085/datasets/export for details.
DOI: 10.4232/5.za10119.1.0.0
title: ZA10119 GLES Panel 2025, Welle 30
title: ZA10119 GLES Panel 2025, Wave 30

description: Die German Longitudinal Election Study (GLES) ist das zentrale Infrastrukturprojekt in Deutschland für die kontinuierliche Erhebung und Bereitstellung von qualitativ hochwertigen Daten für die nationale und internationale Wahlforschung. Die methodisch vielfältigen Umfragen der GLES ermöglichen die Untersuchung der politischen Einstellungen und Verhaltensweisen der Wählerinnen und Wähler sowie der Kandidatinnen und Kandidaten. Die GLES wird seit Bestehen in enger Kooperation zwischen der Deutschen Gesellschaft für Wahlforschung (DGfW) und GESIS – Leibniz-Institut für Sozialwissenschaften durchgeführt.
Stichprobe A des GLES-Panels besteht aus quotenbasierten Auswahlverfahren wahlberechtigter deutscher Bürgerinnen und Bürger aus mehreren nicht-probabilistischen Online-Panels und ist in fünf Teilstichproben unterteilt. Die Stichproben A1-A3 „2017 Election Campaign“ setzt sich aus den Befragten des Wahlkampf-Panels 2017 zusammen. Stichprobe A wurde anschließend durch die Auffrischungsstichprobe A4 für den Bundestagswahlkampf 2021 (2020) sowie A5 für den Bundestagswahlkampf 2025 (2024) ergänzt. Für die vorgezogene Bundestagswahl 2025 wurden aktive Teilnehmende bis zu fünfmal während des Wahlkampfs und nach der Wahl befragt. Die Befragungen im Rahmen des GLES-Panels ermöglichen weiterhin vielfältige und vertiefte Analysen zu den Auswirkungen politischer Ereignisse und Wahlkämpfe auf Veränderungen politischer Einstellungen und Entscheidungsprozesse.
description: The German Longitudinal Election Study (GLES) is the central infrastructure project in Germany for the continuous collection and provision of high-quality data for national and international election research. The methodologically diverse surveys of the GLES enable the research of political attitudes and behavior of voters and candidates. Since its foundation, the GLES has been conducted in close cooperation between the German Society for Electoral Research (DGfW) and GESIS – Leibniz Institute for the Social Sciences.
Sample A of the GLES Panel consists of quota-based selections of eligible German voters from several non-probability online panels, divided into five subsamples. Participants in the 2017 election campaign surveys were drawn from the main sample A1 (2016), the recontact sample A2 (2013), and the refreshment sample A3 (2017) of the GLES Short-term Campaign Panel 2017. Sample A was further supplemented by refreshment samples A4 for the 2021 election campaign (2020) and A5 for the 2025 election campaign (2024). For the early federal election in 2025, active participants were surveyed up to five times throughout the election campaign and after the federal election. The GLES Panel surveys continue to enable diverse and in-depth analyses of the impact of political events and election campaigns on changes in political attitudes and decision-making processes.
DOI: 10.15468/dl.br8che
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039276-251120083545085/datasets/export for details.
DOI: 10.18739/a24b2x69t
title: ERA5 hourly data on single levels from 1940 to present

description: ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 8 decades. Data is available from 1940 onwards. ERA5 replaces the ERA-Interim reanalysis.
 Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. This principle, called data assimilation, is based on the method used by numerical weather prediction centres, where every so many hours (12 hours at ECMWF) a previous forecast is combined with newly available observations in an optimal way to produce a new best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset spanning back several decades. Reanalysis does not have the constraint of issuing timely forecasts, so there is more time to collect observations, and when going further back in time, to allow for the ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product.
DOI: 10.15468/dl.gcuf85
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia serotina"
 ]
}

 The dataset includes 61 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039277-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/glkgv7
title: PAN-00180608 - mortarium type Haltern 60 / Stuart 149

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00180608&lt;/p&gt;
description: Modified: 2025-10-06T09:57:52+02:00
DOI: 10.15468/dl.a3hy22
title: Occurrence Download

description: A dataset containing 8122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scolelepis squamata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8122 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039280-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2te668
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia shannonii"
 ]
}

 The dataset includes 67 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039279-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7x9hmy
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.71599999999999 0.676184, 99.645732 0.670617, 99.577195 0.654052, 99.51207599999999 0.626897, 99.45198000000001 0.589821, 99.398385 0.5437380000000001, 99.35261199999999 0.489781, 99.315787 0.42928, 99.28881800000001 0.363725, 99.272367 0.29473, 99.266839 0.223993, 99.27237100000001 0.153257, 99.288826 0.084262, 99.315798 0.018709, 99.352625 -0.04179, 99.398399 -0.095745, 99.451993 -0.141826, 99.51208699999999 -0.1789, 99.577203 -0.206053, 99.645736 -0.222618, 99.71599999999999 -0.228185, 99.786264 -0.222618, 99.854797 -0.206053, 99.91991299999999 -0.1789, 99.980007 -0.141826, 100.033601 -0.095745, 100.079375 -0.04179, 100.116202 0.018709, 100.143174 0.084262, 100.159629 0.153257, 100.165161 0.223993, 100.159633 0.29473, 100.143182 0.363725, 100.116213 0.42928, 100.079388 0.489781, 100.033615 0.5437380000000001, 99.98002 0.589821, 99.91992399999999 0.626897, 99.854805 0.654052, 99.78626800000001 0.670617, 99.71599999999999 0.676184))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039278-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7anzvw
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia thyrsiflora"
 ]
}

 The dataset includes 298 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039281-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.