cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/323fxghvs8
title: Dataset on Resilience and Academic Performance among Working Students in Occupational Health and Safety

description: This dataset is part of the research project titled “The Role of Resilience on Academic Performance among Occupational Health and Safety (OHS) Professionals Pursuing Graduate Education”, conducted at the Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia, from June to October 2025.

The study aims to examine the relationship between psychological resilience and academic performance (measured by GPA) among postgraduate OHS professionals who are simultaneously working. Data were collected through an online questionnaire consisting of two sections: demographic and contextual information (such as age, gender, work hours, family and workplace support) and the Resilience Evaluation Scale (RES) – Indonesian version (8 items, 5-point Likert scale, 0–4).

All participants were adult postgraduate students who voluntarily took part in the study. No medical intervention was involved, and all data were anonymized in accordance with the approved ethical standards. The study received ethical clearance from the Research Ethics Committee, Faculty of Medicine, Universitas Sebelas Maret, under approval number 91/UN27.06.11/KEP/EC/2025.
DOI: 10.17632/323fxghvs8.1
title: Dataset on Resilience and Academic Performance among Working Students in Occupational Health and Safety

description: This dataset is part of the research project titled “The Role of Resilience on Academic Performance among Occupational Health and Safety (OHS) Professionals Pursuing Graduate Education”, conducted at the Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia, from June to October 2025.

The study aims to examine the relationship between psychological resilience and academic performance (measured by GPA) among postgraduate OHS professionals who are simultaneously working. Data were collected through an online questionnaire consisting of two sections: demographic and contextual information (such as age, gender, work hours, family and workplace support) and the Resilience Evaluation Scale (RES) – Indonesian version (8 items, 5-point Likert scale, 0–4).

All participants were adult postgraduate students who voluntarily took part in the study. No medical intervention was involved, and all data were anonymized in accordance with the approved ethical standards. The study received ethical clearance from the Research Ethics Committee, Faculty of Medicine, Universitas Sebelas Maret, under approval number 91/UN27.06.11/KEP/EC/2025.
DOI: 10.15468/dl.fqhqp6
title: Occurrence Download

description: A dataset containing 3474 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymallus arcticus"
 ]
}

 The dataset includes 3474 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057765-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/232mxg3ppy.1
title: Digital Communication for Sustainability: A Bibliometric Analysis of Branding and Trends in Scientific Literature

description: This dataset contains bibliometric data used for the study “Digital Communication for Sustainability: A Bibliometric Analysis of Branding and Trends in Scientific Literature.”
The dataset includes Scopus export files and processed data from Biblioshiny covering publications from 2010 to 2025. The data were analyzed to identify trends, authorship patterns, and keyword evolution related to branding and trends research.
DOI: 10.15468/dl.sd2rwh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caprimulgiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 -90,180 -90,180 -60,150 -60,150 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057767-250920141307145/datasets/export for details.
DOI: 10.15468/dl.47hq6j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 60,-150 60,-150 90,-180 90,-180 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057766-250920141307145/datasets/export for details.
DOI: 10.15468/dl.dmb59t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Errina aspera)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057768-250920141307145/datasets/export for details.
DOI: 10.15468/dl.jwqkbp
title: Occurrence Download

description: A dataset containing 1929 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'AU'
 AND GBIF_WITHIN('POLYGON((144.2 -37.5,144.3 -37.5,144.3 -37.4,144.2 -37.4,144.2 -37.5))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 7707728 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 7707728 OR CAST(occurrence.kingdomkey AS INTEGER) = 7707728 OR CAST(occurrence.phylumkey AS INTEGER) = 7707728 OR CAST(occurrence.classkey AS INTEGER) = 7707728 OR CAST(occurrence.orderkey AS INTEGER) = 7707728 OR CAST(occurrence.familykey AS INTEGER) = 7707728 OR CAST(occurrence.genuskey AS INTEGER) = 7707728 OR CAST(occurrence.specieskey AS INTEGER) = 7707728)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 1929 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057720-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tam6sv
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057769-250920141307145/datasets/export for details.
DOI: 10.15468/dl.pvtrqu
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057770-250920141307145/datasets/export for details.
DOI: 10.15468/dl.wudqbm
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon porrifolius",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057771-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5w6dfr
title: Occurrence Download

description: A dataset containing 1514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ilex macrocarpa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1514 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057773-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxs93j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galliformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 -90,-150 -90,-150 -60,-180 -60,-180 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057774-250920141307145/datasets/export for details.
DOI: 10.17632/xxgf37bbcf
title: Data

description: The hypotheses in this study are based on the assumption that agricultural adaptation policies serve as effective measures with multifaceted positive impacts on sustainable development. Firstly, these policies are expected to enhance the sustainability of farmers' incomes by reducing vulnerability to climate change and increasing resource productivity, thereby ensuring economic stability for farmers. Moreover, adaptation policies play a key role in controlling and mitigating adverse environmental impacts, such as reducing soil erosion, preserving biodiversity, and improving natural resource management. Additionally, these policies can improve food security by ensuring sustainable production and stabilizing food supply chains. Finally, a crucial component of these policies is promoting integrated management of renewable and non-renewable resources, providing a foundation for optimal and synergistic use of available resources. Through this approach, adaptation policies create conditions for a sustainable, comprehensive, and resilient development that is effective both economically and environmentally
DOI: 10.17632/xxgf37bbcf.1
title: Data

description: The hypotheses in this study are based on the assumption that agricultural adaptation policies serve as effective measures with multifaceted positive impacts on sustainable development. Firstly, these policies are expected to enhance the sustainability of farmers' incomes by reducing vulnerability to climate change and increasing resource productivity, thereby ensuring economic stability for farmers. Moreover, adaptation policies play a key role in controlling and mitigating adverse environmental impacts, such as reducing soil erosion, preserving biodiversity, and improving natural resource management. Additionally, these policies can improve food security by ensuring sustainable production and stabilizing food supply chains. Finally, a crucial component of these policies is promoting integrated management of renewable and non-renewable resources, providing a foundation for optimal and synergistic use of available resources. Through this approach, adaptation policies create conditions for a sustainable, comprehensive, and resilient development that is effective both economically and environmentally
DOI: 10.17632/4htxchbnjm.1
title: Knowing to Broaden Vision, Acting to Accomplish Goals: A Dual-Path Study on How Work Experience Diversity Influences Entrepreneurial Opportunity Identification

description: This study tests a dual-path model linking work experience diversity to entrepreneurial opportunity identification through cognitive flexibility and resource bricolage, and examines environmental competitiveness as a moderator.
Survey data were collected from 326 entrepreneurs across diverse industries in China (May–August 2025） via stratified random sampling through entrepreneurial associations, incubators, and online communities. All measures used validated Likert-scale instruments drawn from established literature. Structural equation modeling and moderation analysis (PROCESS macro) were employed.
Results indicate that work experience diversity significantly enhances both cognitive flexibility and resource bricolage, which in turn significantly improve opportunity identification. However, environmental competitiveness weakens these positive effects: in highly competitive markets, the slopes of the diversity–flexibility and diversity–bricolage relationships decrease substantially, indicating that external pressures constrain the cognitive and behavioral benefits of diverse career experiences.
These findings suggest that while diverse prior work experiences foster adaptive thinking and resource recombination, the advantages are context-dependent. In less competitive environments, diversity generates higher returns in opportunity identification, whereas in competitive markets, entrepreneurs should complement experience diversity with targeted strategies for market adaptation and resilience.
Our dataset enables replication of the analysis and offers practical implications for entrepreneurs, educators, and policymakers seeking to design interventions mindful of environmental dynamics.
DOI: 10.17632/4zdf2h8rzw
title: A Multi-Modal Dataset of EEG Signals and M-CHAT Assessments for Autism Spectrum Disorder Detection

description: This dataset integrates electroencephalogram (EEG) recordings with behavioral screening outcomes from the Modified Checklist for Autism in Toddlers (M-CHAT), providing a multi-modal resource for studying early detection of Autism Spectrum Disorder (ASD). The dataset includes data from 28 children — 15 diagnosed with ASD and 13 typically developing controls — all assessed using the same experimental and behavioral protocols.
EEG signals were recorded using the NeuroCONCISE FlexEEG 8-channel system following the international 10–20 electrode placement scheme. From the EEG data, four statistical features were extracted for each subject: skewness, kurtosis, coefficient of variation, and entropy, representing distributional, variability, and complexity-based signal characteristics.
In parallel, M-CHAT scores were collected for each participant to provide behavioral assessment measures. The dataset also includes benchmark classification results obtained using multiple machine-learning algorithms (SVM, Neural Network, Logistic Regression, Random Forest, XGBoost) for reference and reproducibility.
This resource enables researchers to explore neurophysiological and behavioral correlates of ASD, test feature-fusion approaches, and benchmark novel detection algorithms.
DOI: 10.17632/4zdf2h8rzw.1
title: A Multi-Modal Dataset of EEG Signals and M-CHAT Assessments for Autism Spectrum Disorder Detection

description: This dataset integrates electroencephalogram (EEG) recordings with behavioral screening outcomes from the Modified Checklist for Autism in Toddlers (M-CHAT), providing a multi-modal resource for studying early detection of Autism Spectrum Disorder (ASD). The dataset includes data from 28 children — 15 diagnosed with ASD and 13 typically developing controls — all assessed using the same experimental and behavioral protocols.
EEG signals were recorded using the NeuroCONCISE FlexEEG 8-channel system following the international 10–20 electrode placement scheme. From the EEG data, four statistical features were extracted for each subject: skewness, kurtosis, coefficient of variation, and entropy, representing distributional, variability, and complexity-based signal characteristics.
In parallel, M-CHAT scores were collected for each participant to provide behavioral assessment measures. The dataset also includes benchmark classification results obtained using multiple machine-learning algorithms (SVM, Neural Network, Logistic Regression, Random Forest, XGBoost) for reference and reproducibility.
This resource enables researchers to explore neurophysiological and behavioral correlates of ASD, test feature-fusion approaches, and benchmark novel detection algorithms.
DOI: 10.15468/dl.vr75yj
title: Occurrence Download

description: A dataset containing 897211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Beaufortia cyclica, Beaufortia intermedia, Cyprinus fuxianensis, Cyprinus longzhouensis, Discogobio multilineatus, Hemibarbus macracanthus, Onychostoma fangi, Parabotia maculosa, Percocypris regani, Ptychidio longibarbus, Ptychidio macrops, Schizothorax lepidothorax, Siniperca fortis, Siniperca liuzhouensis, Xenocyprioides carinatus, Mastacembelus oatesii, Scaphiodonichthys macracanthus, Osteochilus salsburyi, Sinibrama macrops, Schizopygopsis dobula, Acheilognathus tonkinensis, Luciocyprinus langsoni, Pseudogobio guilinensis, Toxabramis hoffmanni, Hemibarbus umbrifer, Macropodus ocellatus, Cynoglossus roulei, Schistura manipurensis, Botia histrionica, Psilorhynchus ngathanu, Garra abhoyai, Garra chakpiensis, Garra compressus, Garra nambulica, Garra namyaensis, Garra paralissorhynchus, Garra ukhrulensis, Psilorhynchus chakpiensis, Psilorhynchus breviminor, Danio htamanthinus, Makararaja chindwinensis, Cottus dzungaricus, Devario anomalus, Devario coxi, Psilorhynchus rahmani, Pseudolaguvia assula, Garra chivaensis, Schizothorax chivae, Chiloglanis rukwaensis, Pimelodella wolfi, Triplophysa arnoldii, Astyanax kompi, Phenagoniates macrolepis, Bryconamericus singularis, Pristis pristis, Lobotes surinamensis, Sphyrna lewini, Ablennes hians, Carcharhinus leucas, Rhizoprionodon acutus, Galeocerdo cuvier, Myoxocephalus quadricornis, Esox lucius, Sedercypris calidus, Labeobarbus seeberi, Austroglanis barnardi, Austroglanis gilli, Melanorivulus pinima, Melanorivulus vittatus, Pseudolithoxus kinja, Ompok brevirictus, Rineloricaria cubataonis, Homodiaetus passarellii, Jenynsia darwini, Trichogenes longipinnis, Roeboides carti, Hypostomus vermicularis, Ancistrus centrolepis, Pseudacanthicus fordii, Gephyrocharax intermedius, Pimelodella yaharo, Poecilia dauli, Neoplecostomus paraty, Phalloptychus iheringii, Cyprinodon higuey, Cyprinodon nichollsi, Cyprinodon riverendi, Cyprinodon dearborni, Odontesthes piquava, Alburnus danubicus, Protopterus amphibius, Nothobranchius pienaari, Nothobranchius krysanovi, Astroblepus brachycephalus, Aphyosemion ecucuense, Aphyosemion erythron, Ophthalmolebias constanciae, Campellolebias chrysolineatus, Atlantirivulus simplicis, Campellolebias brucei)",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 897211 records from 954 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057688-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu4xfp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caprimulgiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 -90,150 -90,150 -60,120 -60,120 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057775-250920141307145/datasets/export for details.
DOI: 10.17632/7k3fwhdpw5
title: Nutrient concentrations from near-surface sampling in SW Greenland, August 2018

description: Nutrient samples collected from a field campaign ('MarineGreen') to southwest Greenland in August 2018. Seawater samples were retained from Go-Flo bottles deployed on a nylon line, filtered (0.20 µm), frozen and then analyzed for macronutrient concentrations upon return to the laboratory.
DOI: 10.17632/7k3fwhdpw5.1
title: Nutrient concentrations from near-surface sampling in SW Greenland, August 2018

description: Nutrient samples collected from a field campaign ('MarineGreen') to southwest Greenland in August 2018. Seawater samples were retained from Go-Flo bottles deployed on a nylon line, filtered (0.20 µm), frozen and then analyzed for macronutrient concentrations upon return to the laboratory.
DOI: 10.15468/dl.ugzcas
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Moehringia fontqueri)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057776-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.