cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/0285813d-0f28-434e-98ad-da96ce6c85bc
title: CHI 2023 Workshop Documentation: "Data as a Material for Design: Alternative Narratives, Divergent Pathways, and Future Directions"

description: This dataset documents results of the academic workshop "Data as a Material for Design: Alternative Narratives, Divergent Pathways, and Future Directions" co-located and hosted with the ACM CHI Conference on Human Factors in Computing Systems in Hamburg, Germany from April 23-28, 2023. In the dataset, we have collected the mapping of examples of data in design research and practice in the spectrum of "conventional" and "evocative", which was realized pre-workshop in an asynchronous manner. The second item in the dataset is visual combination of all workshop posters that were created during the workshop on the different tables. Finally, participants in the workshop worked on designing data-inspired artifacts and presented them in the last part of the workshop (recorded in a video). The resulting artifacts are listed in a Word document with each a still image. This dataset does not include the full video to protect individuals who do not want to appear in an archived video.
DOI: 10.15468/dl.5xcute
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erycibe hellwigii Prain"
 ]
}

 The dataset includes 65 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047328-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.30q3h5
title: Occurrence Download

description: A dataset containing 585278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "PublishingOrg is 7338b4d9-d75b-4edb-b238-b09f52397f49",
 "Issue is Geodetic datum assumed WGS84",
 "Year 2007-2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 585278 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009243-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.du433a
title: Occurrence Download

description: A dataset containing 18477 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium aurantiacum L."
 ]
}

 The dataset includes 18477 records from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070069-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sac8uh
title: Occurrence Download

description: A dataset containing 1512208412 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 1512208412 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001746-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgdnfz
title: Occurrence Download

description: A dataset containing 264065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Dutch Vegetation Database, Observations du Conservatoire botanique national du Bassin parisien., Données acquises par le Conservatoire botanique national du Bassin parisien et son réseau (bénévoles, associations, autres structures professionnelles) - Flore du Bassin parisien (CBNBP), INPN - Données flore des CBN agrégées par la FCBN, Observation.org, Nature data from around the World, Artportalen, Florabank1 - A grid-based database on vascular plant distribution in the northern part of Belgium (Flanders and the Brussels Capital region), Waarnemingen.be - Plant occurrences in Flanders and the Brussels Capital Region, Belgium, Danish government nature monitoring portal \"Danmarks Miljøportals Naturdatabase)",
 "TaxonKey is Jacobaea vulgaris Gaertn."
 ]
}

 The dataset includes 264065 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001827-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.592e6p
title: Occurrence Download

description: A dataset containing 794438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Isoodon obesulus (Shaw, 1797), Manis culionensis (de Elera, 1915), Tamandua tetradactyla (Linnaeus, 1758), Callithrix geoffroyi (Humboldt, 1812), Callithrix jacchus (Linnaeus, 1758), Callithrix penicillata (É.Geoffroy Saint-Hilaire, 1812), Saguinus oedipus (Linnaeus, 1758), Saimiri sciureus (Linnaeus, 1758), Sapajus apella (Linnaeus, 1758), Sapajus nigritus (Goldfuss, 1809), Cercopithecus mona (Schreber, 1775), Chlorocebus sabaeus (Linnaeus, 1766), Erythrocebus patas (Schreber, 1774), Macaca arctoides (I.Geoffroy Saint-Hilaire, 1831), Macaca cyclopis (Swinhoe, 1863), Macaca fascicularis (Raffles, 1821), Macaca leonina (Blyth, 1863), Macaca mulatta (Zimmermann, 1780), Macaca nemestrina (Linnaeus, 1766), Macaca nigra (Desmarest, 1822), Macaca sylvanus (Linnaeus, 1758), Piliocolobus kirkii (Gray, 1868), Semnopithecus entellus (Dufresne, 1797), Trachypithecus auratus (É.Geoffroy Saint-Hilaire, 1812), Daubentonia madagascariensis (Gmelin, 1788), Eulemur albifrons (É.Geoffroy Saint-Hilaire, 1796), Eulemur fulvus (É.Geoffroy Saint-Hilaire, 1796), Eulemur mongoz (Linnaeus, 1766), Varecia variegata (Kerr, 1792), Elephas maximus Linnaeus, 1758, Geocapromys ingrahami (J.A.Allen, 1891), Castor canadensis Kuhl, 1820, Castor fiber Linnaeus, 1758, Hydrochoerus hydrochaeris (Linnaeus, 1766), Cricetomys gambianus Waterhouse, 1840, Microtus arvalis (Pallas, 1779), Microtus californicus (Peale, 1848), Microtus levis Miller, 1908, Myodes gapperi (Vigors, 1830), Myodes glareolus (Schreber, 1780), Myodes rutilus (Pallas, 1779))"
 ]
}

 The dataset includes 794438 records from 1809 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001784-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqcb6z
title: Occurrence Download

description: A dataset containing 2508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Necrobia violacea (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2508 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000891-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yut24x
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Spain",
 "Geometry POLYGON((-4.61749 38.66122,-3.49092 38.66122,-3.49092 39.47293,-4.61749 39.47293,-4.61749 38.66122))",
 "HasGeospatialIssue is false",
 "TaxonKey is Sus scrofa Linnaeus, 1758",
 "Year 2010-2025"
 ]
}

 The dataset's 2 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000889-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8348863
title: Public database of multilingual map reading test

description: The Excel file contains the filtered data records of the map-reading study of the Research Group on Experimental Cartography at the Eötvös Loránd University (ktk.elte.hu). The data collection started in the autumn of 2015 and lasted until April 2022. The file contains three sheets: demographic_questions; correct_answers; map_reading_database. The first two sheets contain the questions asked, the answer codes, and the correct answers. The third one has 511 records, which is the result of a filtering of the original 805 fills. The filtering excluded the unfinished tests, and the ones with fill time below 2.5 minutes and above 15 minutes.
description: The research was part of the ongoing TKP2021-NVA-29 Project, which has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-NVA funding scheme.
DOI: 10.5281/zenodo.15001468
title: THE ROLE OF CREATIVITY IN LITERATURE EDUCATION: STIMULATING IMAGINATION IN STUDENTS THROUGH INNOVATIVE TEACHING APPROACHES
DOI: 10.5281/zenodo.15001469
title: THE ROLE OF CREATIVITY IN LITERATURE EDUCATION: STIMULATING IMAGINATION IN STUDENTS THROUGH INNOVATIVE TEACHING APPROACHES
DOI: 10.5281/zenodo.10655594
title: Investigating the performance of foundation models on human 3'UTR sequences - data

description: Data accompanying the publication Sergey Vilov and Matthias Heinig "Investigating the performance of foundation models on human 3'UTR sequences"

This data can be analyzed with our associated Github code: https://github.com/sergeyvilov/investigating-foundation-models-3utr. 

The model weigths for 3'UTR-specific models can be found in models/

The raw scores of all models on all tasks can be found in all_scores/
DOI: 10.5281/zenodo.10655595
title: Investigating the performance of foundation models on human 3'UTR sequences - data

description: Data accompanying the publication Sergey Vilov and Matthias Heinig "Investigating the performance of foundation models on human 3'UTR sequences"

This data can be analyzed with our associated Github code: https://github.com/sergeyvilov/investigating-foundation-models-3utr.
DOI: 10.5281/zenodo.14993890
title: Investigating the performance of foundation models on human 3'UTR sequences - data

description: Data accompanying the publication Sergey Vilov and Matthias Heinig "Investigating the performance of foundation models on human 3'UTR sequences"

This data can be analyzed with our associated Github code: https://github.com/sergeyvilov/investigating-foundation-models-3utr. 

The model weigths for 3'UTR-specific models can be found in models/

The raw scores of all models on all tasks can be found in all_scores/
DOI: 10.5281/zenodo.15001394
title: Females Workplace Bullying Database

description: This dataset contains data of female non-university teachers collected by paper and pencil at the workplace between October 2015 and May 2020. These data were collected by employees working in the INVASSAT (Instituto Valenciano de Seguridad y Salud en el Trabajo, Government of the Valencian Community, Spain). The INVASSAT employees went to all educational center and informed the director, union representative, and teachers at each school of the procedure. Then each teacher filled in the questionnaire individually. The questionnaire was done in the presence of the INVASSAT employees to answer any doubts, and the filled questionnaires were given to the INVASSAT employee.

The file contains demographic variables and the responses to the items of the following questionnaires: Interpersonal Conflict Scale, Trasformational Leadership Scale, Mobbing-UNIPSICO scale questionnaire and Psychosomatic Disorders Scale. Furthermore, it contains the responses to the items on alcohol, tobacco and medication use, and the response to the item regarding the necessity of professional support. The last variable in the file is the Workplace Bullying variable, in which the sample is divided in two groups: women who suffered Workplace Bullying and Women who suffered Workplace Violence.

The name of the variables and the value labels have been written in English to facilitate their understanding.

Data and codebooks are provided in csv format, following the FAIR principles.

Three files are provided:1. Female Workplace Bullying Database, with the data related to sample characteristics and the answers to the items of the questionnaires and the other items.2. Database codebook of variables, with information of the labels of the variables of the Database file.3. Database variable values codebook, with the labels of the values of the variables in the Database file.
DOI: 10.5281/zenodo.15001395
title: Females Workplace Bullying Database

description: This dataset contains data of female non-university teachers collected by paper and pencil at the workplace between October 2015 and May 2020. These data were collected by employees working in the INVASSAT (Instituto Valenciano de Seguridad y Salud en el Trabajo, Government of the Valencian Community, Spain). The INVASSAT employees went to all educational center and informed the director, union representative, and teachers at each school of the procedure. Then each teacher filled in the questionnaire individually. The questionnaire was done in the presence of the INVASSAT employees to answer any doubts, and the filled questionnaires were given to the INVASSAT employee.

The file contains demographic variables and the responses to the items of the following questionnaires: Interpersonal Conflict Scale, Trasformational Leadership Scale, Mobbing-UNIPSICO scale questionnaire and Psychosomatic Disorders Scale. Furthermore, it contains the responses to the items on alcohol, tobacco and medication use, and the response to the item regarding the necessity of professional support. The last variable in the file is the Workplace Bullying variable, in which the sample is divided in two groups: women who suffered Workplace Bullying and Women who suffered Workplace Violence.

The name of the variables and the value labels have been written in English to facilitate their understanding.

Data and codebooks are provided in csv format, following the FAIR principles.

Three files are provided:1. Female Workplace Bullying Database, with the data related to sample characteristics and the answers to the items of the questionnaires and the other items.2. Database codebook of variables, with information of the labels of the variables of the Database file.3. Database variable values codebook, with the labels of the values of the variables in the Database file.
DOI: 10.15468/dl.phkqps
title: Occurrence Download

description: A dataset containing 31800659 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 {
 "not" : {
 "PhylumKey" : [
 "is Chordata"
 ]
 }
 },
 "ClassKey is one of (Thaliacea, Ascidiacea, Appendicularia, Leptocardii)"
 ]
 },
 "KingdomKey is Animalia",
 "DatasetKey is one of (University of Texas, Biodiversity Center, Entomology Collection (UTIC), Texas A&M University Insect Collection, iNaturalist Research-grade Observations)"
 ]
}

 The dataset includes 31800659 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000890-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15001482
title: Forschungsethik (Update WG 10.03.2025)
DOI: 10.5281/zenodo.15001483
title: Forschungsethik (Update WG 10.03.2025)
DOI: 10.6084/m9.figshare.28564001
title: MRdb - Skin microbiota

description: MRdb - Skin microbiota (597)
DOI: 10.6084/m9.figshare.28564001.v1
title: MRdb - Skin microbiota

description: MRdb - Skin microbiota (597)
DOI: 10.5281/zenodo.14892859
title: Dataset associated with publication

description: This data project contains the data belonging to the publication “Linking micro X-ray fluorescence spectroscopy and X-ray computed tomography with model simulation explains differences in nutrient gradients around roots of different types and ages”, published in the journal New Phytologist, such as µXRF images, macros for calculating distance-dependent parameters, R-scripts for image analysis and visualization and instructions for the process-based, radially symmetric 1D rhizosphere model, which works with the experimental data.
DOI: 10.5281/zenodo.14892860
title: Dataset associated with publication

description: This data project contains the data belonging to the publication “Linking micro X-ray fluorescence spectroscopy and X-ray computed tomography with model simulation explains differences in nutrient gradients around roots of different types and ages”, published in the journal New Phytologist, such as µXRF images, macros for calculating distance-dependent parameters, R-scripts for image analysis and visualization and instructions for the process-based, radially symmetric 1D rhizosphere model, which works with the experimental data.
DOI: 10.15468/dl.usx76w
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Spain",
 "Geometry POLYGON((-4.61749 38.66122,-3.49092 38.66122,-3.49092 39.47293,-4.61749 39.47293,-4.61749 38.66122))",
 "HasGeospatialIssue is false",
 "TaxonKey is Sus scrofa Linnaeus, 1758",
 "Year 2010-2025"
 ]
}

 The dataset includes 91 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000895-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anbpr4
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vryburgia amaryllidis (Bouche, 1837)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000896-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13983735
title: Database Gil-Monte Burnout Model in Brazilian Teachers

description: This dataset contains data of non-university teachers collected by paper and pencil at the workplace. These data were collected the professor Mary Sandra Carlotto in the south of Brazil. The participation in the study was voluntary and anonymous. Prior to the start of the assessment the school principal was contacted to obtain the authorization to carry out the study and design the data collection. Teachers were informed about the purpose of the study, and it was clarified that their participation would not result in any individual or organizational assessment consequences. The questionnaire was distributed to teachers at the beginning of their workday, and they were asked to submit the completed questionnaire by placing it in a box in the teachers’ room at the end of the day.

The file contains demographic variables, the responses to 8 items of the General Self-efficacy Scale, 6 ítems of the Social support scale of the UNIPSICO questionnaire, 20 ítems of the Spanish Burnout Inventory, and 9 ítems from the Psychosomatic disorders scale of the UNIPSICO questionnaire.

The name of the variables and the value labels have been written in English to facilitate their understanding.

Data and codebooks are provided in csv format, following the FAIR principles.

Three files are provided:1. Database, with the data related to sample characteristics and the answers to the items of the questionnaires and the other items.2. Database codebook of variables, with information of the labels of the variables of the Database file.3. Database variable values codebook, with the labels of the values of the variables in the Database file.
DOI: 10.5281/zenodo.13983736
title: Database Gil-Monte Burnout Model in Brazilian Teachers

description: This dataset contains data of non-university teachers collected by paper and pencil at the workplace. These data were collected the professor Mary Sandra Carlotto in the south of Brazil. The participation in the study was voluntary and anonymous. Prior to the start of the assessment the school principal was contacted to obtain the authorization to carry out the study and design the data collection. Teachers were informed about the purpose of the study, and it was clarified that their participation would not result in any individual or organizational assessment consequences. The questionnaire was distributed to teachers at the beginning of their workday, and they were asked to submit the completed questionnaire by placing it in a box in the teachers’ room at the end of the day.

The file contains demographic variables, the responses to 8 items of the General Self-efficacy Scale, 6 ítems of the Social support scale of the UNIPSICO questionnaire, 20 ítems of the Spanish Burnout Inventory, and 9 ítems from the Psychosomatic disorders scale of the UNIPSICO questionnaire.

The name of the variables and the value labels have been written in English to facilitate their understanding.

Data and codebooks are provided in csv format, following the FAIR principles.

Three files are provided:1. Database, with the data related to sample characteristics and the answers to the items of the questionnaires and the other items.2. Database codebook of variables, with information of the labels of the variables of the Database file.3. Database variable values codebook, with the labels of the values of the variables in the Database file.
DOI: 10.6084/m9.figshare.28562732
title: MRdb - Gut microbiome

description: MRdb - Gut microbiome (412)
DOI: 10.15468/dl.xm6ttv
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-42.33987 -26.24874,81.33987 -26.24874,81.33987 23.24874,-42.33987 23.24874,-42.33987 -26.24874))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bobgunnia fistuloides (Harms) J.H.Kirkbr. & Wiersema"
 ]
}

 The dataset includes 332 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000897-250310093411724/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.28562885
title: MRdb - Blood metabolites

description: MRdb - Blood metabolites (486)
DOI: 10.6084/m9.figshare.28562885.v1
title: MRdb - Blood metabolites

description: MRdb - Blood metabolites (486)
DOI: 10.15468/dl.aagbrt
title: Occurrence Download

description: A dataset containing 377925 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Robinia pseudoacacia L."
 ]
}

 The dataset includes 377925 records from 3072 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000888-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncwndn
title: Occurrence Download

description: A dataset containing 12566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hydrochoerus hydrochaeris (Linnaeus, 1766)",
 "Year 2019-2025"
 ]
}

 The dataset includes 12566 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005565-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/7dmc-b605
title: Little Medomak water chemistry dataset

description: Raw data for the Little Medomak water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.