cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/jy2x-qc10
title: The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries

description: COVID2020 dataset provides a new, high-volume COVID-19 tweet dataset. It was collected from March 2020 to November 2020, covering eight months in the first year of the pandemic. The list of tracked COVID-19 keywords is obtained from "Emily Chen, Kristina Lerman, and Emilio Ferrara. 2020. Tracking Social Media Discourse about the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance (2020)". Those keywords include not only generic terms such as "corona virus", "covid", but also non-pharmaceutical interventions such as "lockdown", "n95", and "social distancing."
<br><br>
This dataset is comprised of tweet IDs.
DOI: 10.15468/dl.edcdh4
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.964 9.082077, 98.892852 9.076504999999999, 98.82346200000001 9.059925, 98.75754499999999 9.032748, 98.69672799999999 8.995645, 98.642511 8.949532, 98.596231 8.895548, 98.55902500000001 8.835025, 98.531807 8.769456, 98.515242 8.700457999999999, 98.509733 8.629731, 98.51540900000001 8.559017000000001, 98.532124 8.490055999999999, 98.559462 8.424545999999999, 98.596745 8.364096999999999, 98.643051 8.310193999999999, 98.697242 8.264163, 98.757982 8.227133, 98.82378 8.200013999999999, 98.893019 8.183472, 98.964 8.177911999999999, 99.034981 8.183472, 99.10422 8.200013999999999, 99.170018 8.227133, 99.23075799999999 8.264163, 99.284949 8.310193999999999, 99.331255 8.364096999999999, 99.368538 8.424545999999999, 99.395876 8.490055999999999, 99.41259100000001 8.559017000000001, 99.418267 8.629731, 99.412758 8.700457999999999, 99.396193 8.769456, 99.36897500000001 8.835025, 99.33176899999999 8.895548, 99.285489 8.949532, 99.231272 8.995645, 99.170455 9.032748, 99.10453800000001 9.059925, 99.03514800000001 9.076504999999999, 98.964 9.082077))"},{"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 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020801-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4dpe3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.692 1.474183, 110.621714 1.468615, 110.55316 1.452048, 110.488026 1.42489, 110.427917 1.387811, 110.374313 1.341724, 110.328534 1.287764, 110.291707 1.22726, 110.264739 1.161702, 110.248292 1.092705, 110.242771 1.021968, 110.248312 0.951233, 110.264776 0.88224, 110.291758 0.81669, 110.328594 0.756194, 110.374376 0.702244, 110.427976 0.656166, 110.488077 0.619096, 110.553197 0.5919450000000001, 110.621733 0.575383, 110.692 0.569816, 110.762267 0.575383, 110.830803 0.5919450000000001, 110.895923 0.619096, 110.956024 0.656166, 111.009624 0.702244, 111.055406 0.756194, 111.092242 0.81669, 111.119224 0.88224, 111.135688 0.951233, 111.141229 1.021968, 111.135708 1.092705, 111.119261 1.161702, 111.092293 1.22726, 111.055466 1.287764, 111.009687 1.341724, 110.956083 1.387811, 110.895974 1.42489, 110.83084 1.452048, 110.762286 1.468615, 110.692 1.474183))"},{"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/0020802-260108223611665/datasets/export for details.
DOI: 10.15468/dl.wrsdst
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cinygmula hirasana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020803-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4jjfx
title: Occurrence Download

description: A dataset containing 38001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "OccurrenceStatus is Present",
 "TaxonKey is Ascomycota"
 ]
}

 The dataset includes 38001 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020800-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/jg8j-6t78
title: ChatGPT in education: A discourse analysis of worries and concerns on social media

description: The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We collected Twitter data to identify key concerns related to the use of ChatGPT in education. This dataset is used to support the study "ChatGPT in education: A discourse analysis of worries and concerns on social media." 

In this study, we particularly explored two research questions. RQ1 (Concerns): What are the key concerns that Twitter users perceive with using ChatGPT in education? RQ2 (Accounts): Which accounts are implicated in the discussion of these concerns? In summary, our study underscores the importance of responsible and ethical use of AI in education and highlights the need for collaboration among stakeholders to regulate AI policy.
DOI: 10.15468/dl.3hpx4h
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Esox lucius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 1814"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020804-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vc5hvn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.824 1.568182, 110.753711 1.562614, 110.685154 1.546047, 110.620017 1.518889, 110.559906 1.48181, 110.5063 1.435722, 110.46052 1.381762, 110.423693 1.321258, 110.396724 1.2557, 110.380278 1.186703, 110.374758 1.115965, 110.380299 1.04523, 110.396765 0.9762380000000001, 110.423748 0.910687, 110.460585 0.8501919999999999, 110.506369 0.796242, 110.559971 0.750165, 110.620073 0.713095, 110.685194 0.685945, 110.753732 0.669383, 110.824 0.663816, 110.894268 0.669383, 110.962806 0.685945, 111.027927 0.713095, 111.088029 0.750165, 111.141631 0.796242, 111.187415 0.8501919999999999, 111.224252 0.910687, 111.251235 0.9762380000000001, 111.267701 1.04523, 111.273242 1.115965, 111.267722 1.186703, 111.251276 1.2557, 111.224307 1.321258, 111.18748 1.381762, 111.1417 1.435722, 111.088094 1.48181, 111.027983 1.518889, 110.962846 1.546047, 110.894289 1.562614, 110.824 1.568182))"},{"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/0020808-260108223611665/datasets/export for details.
DOI: 10.15468/dl.bh7w9a
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.974 9.126075999999999, 98.902843 9.120504, 98.833445 9.103923999999999, 98.76752 9.076746999999999, 98.706695 9.039643, 98.652472 8.99353, 98.60618700000001 8.939546, 98.568977 8.879023, 98.54175600000001 8.813454, 98.52518999999999 8.744457000000001, 98.51967999999999 8.673730000000001, 98.525358 8.603016, 98.542075 8.534056, 98.569416 8.468545000000001, 98.606703 8.408096, 98.65301599999999 8.354194, 98.707212 8.308163, 98.767959 8.271133000000001, 98.833764 8.244014999999999, 98.90301100000001 8.227473, 98.974 8.221913000000001, 99.044989 8.227473, 99.11423600000001 8.244014999999999, 99.180041 8.271133000000001, 99.24078799999999 8.308163, 99.294984 8.354194, 99.341297 8.408096, 99.378584 8.468545000000001, 99.405925 8.534056, 99.422642 8.603016, 99.42832 8.673730000000001, 99.42281 8.744457000000001, 99.406244 8.813454, 99.379023 8.879023, 99.341813 8.939546, 99.295528 8.99353, 99.241305 9.039643, 99.18048 9.076746999999999, 99.114555 9.103923999999999, 99.045157 9.120504, 98.974 9.126075999999999))"},{"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 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020806-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1625
title: Data to Support The Impact of Whole-Molecule Disorder on Spin-Crossover in a Family of Isomorphous Molecular Crystals

description: Seven iron(II) complex salts, of 2,6-di(pyrazol-1-yl)pyridines bearing a substituent at one pyrazolyl C4 position, are isomorphous but show a variety of spincrossover behaviours. Crystal structures show disorder of the two ligand substituents around the four pyrazolyl groups in the molecules, which can lead to resolvable wholemolecule disorder as shown. Unusual discontinuities in the more abrupt spin-transitions may arise from heterogeneous lattice sites within the cooperative SCO material.
DOI: 10.15468/dl.qshyyy
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cinygmula kurenzovi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020809-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60483/unab/0w2own/doc7kx
title: 2025_Datos_transf_Empatia_HP_Profesionales_Salud_Concepcion_Chile.tab

description: Archivo Excel (.xlsx) con una hoja ('Hoja1'). Filas = 200. Columnas = 26. Contiene variables demográficas básicas (sexo, edad), 20 ítems JSE-HPS (P1–P20) y puntajes compuestos (PA, CC, WIPS, EMP).
DOI: 10.60483/unab/0w2own/vsw4qj
title: Readme.txt

description: Archivo de texto plano que incluye la descripción de los datos.
DOI: 10.60483/unab/0w2own
title: Datos del Estudio: Empatía en Profesionales de Ciencias de la Salud en la Atención Primaria (Concepción, Chile, 2025)

description: Conjunto de datos anonimizado en formato XLSX con respuestas ítem por ítem de la Escala Jefferson de Empatía para Profesionales de la Salud (JSE-HPS), más puntajes compuestos por dimensiones (PA, CC, WIPS) y total (EMP). Contiene 200 observaciones de profesionales de salud de cinco CESFAM (Centros de Salud Familiar) de la ciudad de Concepción (Chile) recolectadas en 2025; Hombres=89, Mujeres=111. Incluye 20 ítems tipo Likert (1–7), la edad del participante y el sexo.
DOI: 10.15468/dl.2abzng
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Esox lucius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1815",
 "Year is less than or equal to 1819"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020810-260108223611665/datasets/export for details.
DOI: 10.15468/dl.p9esww
title: Occurrence Download

description: A dataset listing the 1487 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Norwegian Species Observation Service",
 "Geometry POLYGON((9.74637 75.94066,20.44397 75.94066,20.44397 80.21752,9.74637 80.21752,9.74637 75.94066))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1487 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020795-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnqbum
title: Occurrence Download

description: A dataset containing 1434 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glyceria aquatica"
 ]
}

 The dataset includes 1434 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020811-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.978gz6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.676 1.607182, 110.60571 1.601614, 110.537151 1.585047, 110.472013 1.557889, 110.411901 1.520809, 110.358295 1.474722, 110.312514 1.420761, 110.275686 1.360257, 110.248718 1.294699, 110.232271 1.225701, 110.226752 1.154964, 110.232293 1.084229, 110.248759 1.015237, 110.275744 0.949686, 110.312582 0.889192, 110.358366 0.835242, 110.411969 0.789165, 110.472071 0.752095, 110.537193 0.724945, 110.605732 0.708383, 110.676 0.702816, 110.746268 0.708383, 110.814807 0.724945, 110.879929 0.752095, 110.940031 0.789165, 110.993634 0.835242, 111.039418 0.889192, 111.076256 0.949686, 111.103241 1.015237, 111.119707 1.084229, 111.125248 1.154964, 111.119729 1.225701, 111.103282 1.294699, 111.076314 1.360257, 111.039486 1.420761, 110.993705 1.474722, 110.940099 1.520809, 110.879987 1.557889, 110.814849 1.585047, 110.74629 1.601614, 110.676 1.607182))"},{"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 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020812-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18154882
title: Accompanying data for Hartmeier & Lanari (2026, in prep.)
DOI: 10.5281/zenodo.18301460
title: DOME Registry Archived Dataset

description: Abstract This dataset is a comprehensive, time-stamped snapshot of the public DOME Registry database (registry.dome-ml.org). The DOME Registry stores annotations for supervised machine learning methods in biology, adhering to the community-wide recommendations for Data, Optimization, Model, and Evaluation (DOME).

Methodology This snapshot was generated using the "DOME Registry Downloader" tool. It queries the official DOME API (https://registry.dome-ml.org/api/review) to retrieve all public records, handling pagination and aggregation into a single structured file.

Content The dataset includes two files:





DOME_Registry_Download_[YYYYMMDD].json: The complete list of registry records in JSON format. Each record contains metadata regarding the ML study's data handling, optimization parameters, model architecture, and evaluation metrics.




DOME_Registry_Metadata_[YYYYMMDD].json: Technical metadata regarding the download process (timestamp, total record count, and file size).



Purpose This entry serves as a permanent, archival record of the registry state on the specified date. It is intended for researchers conducting meta-analyses on ML reporting standards or those requiring an offline version of the registry for reproducibility.
DOI: 10.5281/zenodo.18301904
title: DOME Registry Archived Dataset

description: Abstract This dataset is a comprehensive, time-stamped snapshot of the public DOME Registry database (registry.dome-ml.org). The DOME Registry stores annotations for supervised machine learning methods in biology, adhering to the community-wide recommendations for Data, Optimization, Model, and Evaluation (DOME).

Methodology This snapshot was generated using the "DOME Registry Downloader" tool. It queries the official DOME API (https://registry.dome-ml.org/api/review) to retrieve all public records, handling pagination and aggregation into a single structured file.

Content The dataset includes two files:





DOME_Registry_Download_[YYYYMMDD].json: The complete list of registry records in JSON format. Each record contains metadata regarding the ML study's data handling, optimization parameters, model architecture, and evaluation metrics.




DOME_Registry_Metadata_[YYYYMMDD].json: Technical metadata regarding the download process (timestamp, total record count, and file size).



Purpose This entry serves as a permanent, archival record of the registry state on the specified date. It is intended for researchers conducting meta-analyses on ML reporting standards or those requiring an offline version of the registry for reproducibility.
DOI: 10.15468/dl.kucfk5
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.801 9.128076, 98.729843 9.122503999999999, 98.660444 9.105924, 98.59451900000001 9.078747, 98.533694 9.041643000000001, 98.479471 8.99553, 98.43318499999999 8.941546000000001, 98.395974 8.881023000000001, 98.368754 8.815454000000001, 98.352187 8.746456, 98.346678 8.67573, 98.352355 8.605016000000001, 98.369073 8.536054999999999, 98.39641399999999 8.470545, 98.433701 8.410095999999999, 98.480014 8.356194, 98.534211 8.310162999999999, 98.59495800000001 8.273134000000001, 98.660764 8.246015, 98.730011 8.229473, 98.801 8.223913, 98.871989 8.229473, 98.941236 8.246015, 99.007042 8.273134000000001, 99.067789 8.310162999999999, 99.12198600000001 8.356194, 99.168299 8.410095999999999, 99.205586 8.470545, 99.232927 8.536054999999999, 99.249645 8.605016000000001, 99.25532200000001 8.67573, 99.249813 8.746456, 99.23324599999999 8.815454000000001, 99.20602599999999 8.881023000000001, 99.168815 8.941546000000001, 99.122529 8.99553, 99.06830600000001 9.041643000000001, 99.007481 9.078747, 98.94155600000001 9.105924, 98.872157 9.122503999999999, 98.801 9.128076))"},{"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 154 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020813-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/k3qx-xz33
title: Fair Notification Optimization: An Auction Approach

description: Notifications are important for the user experience in mobile apps and can influence their engagement. However, too many notifications can be disruptive for users. In this work, we study a novel centralized approach for notification optimization, where we view the opportunities to send user notifications as items and types of notifications as buyers in an auction market.
<br><br>
The full dataset, instagram_notification_auction_base_dataset.csv, contains all generated notifications for a subset of Instagram users across four notification types within a certain time window. Each entry of the dataset represents one generated notification. For each generated notification, we include some information related to the notification as well as information related to the auctions performed to determine if the generated notification can be sent to users. See the README file for detailed column decriptions. The dataset was collected during an A/B test where we compare the performance of the first-price auction system with that of the second-price auction system.

The two derived datasets can be useful to study fair online allocation and Fisher market equilibrium. See the README for details and a link to the scripts that generate the derived datasets.
DOI: 10.15468/dl.9nhhzh
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ecdyonurus bajkovae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 509 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020814-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.