cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.29484902.v1
title: Supporting data for 'FLT3L and MCSF-Dependent Neutrophil-Dendritic Cell Hybrids Bridge Innate and Adaptive Anti-Tumor Immunity in Hepatocellular Carcinoma'

description: This dataset contains data of multiplexed immunohistochemistry staining of HCC patients with paired demographics and clinicopathological parameters. In particular, the submitted dataset 1-3 contains TIF files, which are the output file type of scanned multiplexed immunohistochemistry slides for 3 differently defined cell types that are ready for computerized quantification by software. The quantified data of single markers and co-localisation of markers of each cell type are separately entered in excel sheet in each data set. To correlate the expression of each proposed marker with patient survivals and disease progression and recurrence, paired patient demographics could be found in the excel files as well. Mechanistic study data of in vitro and in vivo validation was also included in dataset 4. In particular, dataset 4 contains numerical data of different gene marker expressions with clearly labelled graph titles specific for each study. In addition, dataset 4 also included TIF files for treated and untreated murine liver specimens stained for H&E and multiplexed immunohistochemistry.
DOI: 10.5281/zenodo.16417627
title: ACEM 9665 - raw data
DOI: 10.5281/zenodo.16417628
title: ACEM 9665 - raw data
DOI: 10.15468/dl.6r3w5g
title: Occurrence Download

description: A dataset containing 32721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus retroflexus",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32721 records from 522 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043865-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b266e9
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampris guttatus"
 ]
}

 The dataset includes 570 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043867-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7p6xx7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Alligator mississippiensis)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043869-250717081556266/datasets/export for details.
DOI: 10.15468/dl.nbvxfq
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvinia molesta",
 "Country is Senegal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043862-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzqsuq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neolamprologus wauthioni)",
 "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/0043864-250717081556266/datasets/export for details.
DOI: 10.15468/dl.7ukput
title: Occurrence Download

description: A dataset containing 18418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocoptes medius",
 "MediaType is Image"
 ]
}

 The dataset includes 18418 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043863-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gat7kb
title: Occurrence Download

description: A dataset containing 2398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea asarifolia",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2398 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015431-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t7zfz
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanohalea septentrionalis",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015427-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9bmhf
title: Occurrence Download

description: A dataset containing 1398 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Formicivora iheringi"
 ]
}

 The dataset includes 1398 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015433-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18306162
title: Rutaceae Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.1.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 13th, 2026 at 11:06
DOI: 10.5281/zenodo.18632517
title: Rutaceae Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.1.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 13th, 2026 at 11:06
DOI: 10.5281/zenodo.18632485
title: Suicide Prevention Professionals Survey Dataset (N = 394)

description: This dataset contains anonymized quantitative survey data from a study examining professional perceptions of suicide and their association with suicide prevention training and professional experience.

The sample includes 394 professionals from psychology, nursing, medicine, and related fields who completed an online questionnaire. The dataset includes a five-indicator formative composite index designed to capture multidimensional professional perceptions of suicide. The indicators assess perceived stigma, competence in identification and management, professional importance attributed to suicide, appraisal of preventive measures, and mental health attribution.

Additional variables include demographic characteristics (age, gender), professional background, years of experience, suicide prevention training status (binary), type of training, perceived quality and sufficiency of training, and derived variables (e.g., centered experience and interaction terms).

All data have been fully anonymized prior to publication. No personally identifiable information is included. The dataset is shared to support transparency, reproducibility, and secondary quantitative analyses related to suicide prevention, professional preparedness, and training evaluation.

Users of this dataset are encouraged to cite the associated peer-reviewed publication.
DOI: 10.5281/zenodo.18632486
title: Suicide Prevention Professionals Survey Dataset (N = 394)

description: This dataset contains anonymized quantitative survey data from a study examining professional perceptions of suicide and their association with suicide prevention training and professional experience.

The sample includes 394 professionals from psychology, nursing, medicine, and related fields who completed an online questionnaire. The dataset includes a five-indicator formative composite index designed to capture multidimensional professional perceptions of suicide. The indicators assess perceived stigma, competence in identification and management, professional importance attributed to suicide, appraisal of preventive measures, and mental health attribution.

Additional variables include demographic characteristics (age, gender), professional background, years of experience, suicide prevention training status (binary), type of training, perceived quality and sufficiency of training, and derived variables (e.g., centered experience and interaction terms).

All data have been fully anonymized prior to publication. No personally identifiable information is included. The dataset is shared to support transparency, reproducibility, and secondary quantitative analyses related to suicide prevention, professional preparedness, and training evaluation.

Users of this dataset are encouraged to cite the associated peer-reviewed publication.
DOI: 10.15468/dl.4sfbax
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jungia woodii"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015434-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggtdvp
title: Occurrence Download

description: A dataset containing 658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pamphorichthys",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 658 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015435-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18632377
title: CiteSeer Co-Citation

description: The CiteSeer co-citation network is a hypergraph where nodes are scientific papers from the CiteSeer dataset and hyperedges are sets of papers that are co-cited together by another paper.

Each node is labeled with the paper's research field, chosen from six computer science topics: Agents, Artificial Intelligence (AI), Databases (DB), Information Retrieval (IR), Machine Learning (ML), and Human-Computer Interaction (HCI).

This dataset is commonly used as a benchmark in hypergraph learning tasks.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632376
title: CiteSeer Co-Citation

description: The CiteSeer co-citation network is a hypergraph where nodes are scientific papers from the CiteSeer dataset and hyperedges are sets of papers that are co-cited together by another paper.

Each node is labeled with the paper's research field, chosen from six computer science topics: Agents, Artificial Intelligence (AI), Databases (DB), Information Retrieval (IR), Machine Learning (ML), and Human-Computer Interaction (HCI).

This dataset is commonly used as a benchmark in hypergraph learning tasks.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632379
title: Cora Co-Authorship

description: The Cora co-authorship network is a hypergraph where nodes are authors from the Cora dataset and hyperedges are papers, representing sets of authors who collaborated on a publication.

Each author is labeled with their primary research area, inferred from the majority research area of their publications.

The research areas include Case-Based Reasoning, Genetic Algorithms, Neural Networks, Probabilistic Methods, Reinforcement Learning, Rule Learning, and Theory.

This dataset is commonly used as a benchmark in hypergraph learning tasks for author classification and link prediction.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632378
title: Cora Co-Authorship

description: The Cora co-authorship network is a hypergraph where nodes are authors from the Cora dataset and hyperedges are papers, representing sets of authors who collaborated on a publication.

Each author is labeled with their primary research area, inferred from the majority research area of their publications.

The research areas include Case-Based Reasoning, Genetic Algorithms, Neural Networks, Probabilistic Methods, Reinforcement Learning, Rule Learning, and Theory.

This dataset is commonly used as a benchmark in hypergraph learning tasks for author classification and link prediction.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632383
title: Cora Co-Citation

description: The Cora co-citation network is a hypergraph where nodes are scientific papers from the Cora dataset and hyperedges are sets of papers that are co-cited together by another paper.

Each node is labeled with the paper's research field, chosen from seven computer science topics.

This dataset is commonly used as a benchmark in hypergraph learning tasks.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632384
title: DBLP Co-Authorship

description: The DBLP co-authorship network is a hypergraph where nodes are authors from the DBLP computer science bibliography database and hyperedges are papers, representing sets of authors who collaborated on a publication.

Each author is labeled with their primary research area, inferred from the majority research area of their publications.

The research areas include Database, Data Mining, AI, Information Retrieval, Computer Vision, and Machine Learning.

This dataset is commonly used as a benchmark in hypergraph learning tasks for author classification and link prediction.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632382
title: Cora Co-Citation

description: The Cora co-citation network is a hypergraph where nodes are scientific papers from the Cora dataset and hyperedges are sets of papers that are co-cited together by another paper.

Each node is labeled with the paper's research field, chosen from seven computer science topics.

This dataset is commonly used as a benchmark in hypergraph learning tasks.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632385
title: DBLP Co-Authorship

description: The DBLP co-authorship network is a hypergraph where nodes are authors from the DBLP computer science bibliography database and hyperedges are papers, representing sets of authors who collaborated on a publication.

Each author is labeled with their primary research area, inferred from the majority research area of their publications.

The research areas include Database, Data Mining, AI, Information Retrieval, Computer Vision, and Machine Learning.

This dataset is commonly used as a benchmark in hypergraph learning tasks for author classification and link prediction.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632387
title: PubMed Co-Citation

description: The PubMed co-citation network is a hypergraph where nodes are scientific papers from the PubMed database and hyperedges are sets of papers that are co-cited together by another paper.

Each node is labeled with the paper's research topic, chosen from three diabetes-related categories: Diabetes Mellitus Experimental, Diabetes Mellitus Type 1, and Diabetes Mellitus Type 2.

This dataset is commonly used as a benchmark in hypergraph learning tasks, particularly for biomedical document classification.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632386
title: PubMed Co-Citation

description: The PubMed co-citation network is a hypergraph where nodes are scientific papers from the PubMed database and hyperedges are sets of papers that are co-cited together by another paper.

Each node is labeled with the paper's research topic, chosen from three diabetes-related categories: Diabetes Mellitus Experimental, Diabetes Mellitus Type 1, and Diabetes Mellitus Type 2.

This dataset is commonly used as a benchmark in hypergraph learning tasks, particularly for biomedical document classification.

 

Find the dataset details in AHORN.
DOI: 10.5281/zenodo.18632511
title: DEVELOPMENT OF THE TOURISM SECTOR IN THE KHOREZM REGION

description: This study analyzes the development of the tourism services market and tourism infrastructure in the Khorezm region of Uzbekistan. The research is based on survey data collected from the local population and tourism-related organizations, as well as an analysis of regional statistical indicators. The study identifies key challenges hindering tourism development, including limited transport connectivity, insufficient diversification of tourism products, and gaps in service quality. The novelty of the research lies in the formulation of region-specific strategic recommendations aimed at improving tourism infrastructure, enhancing market competitiveness, and promoting sustainable tourism development. The results of the study may serve as practical guidance for policymakers, regional authorities, and private stakeholders involved in the tourism sector.
DOI: 10.5281/zenodo.18632510
title: DEVELOPMENT OF THE TOURISM SECTOR IN THE KHOREZM REGION

description: This study analyzes the development of the tourism services market and tourism infrastructure in the Khorezm region of Uzbekistan. The research is based on survey data collected from the local population and tourism-related organizations, as well as an analysis of regional statistical indicators. The study identifies key challenges hindering tourism development, including limited transport connectivity, insufficient diversification of tourism products, and gaps in service quality. The novelty of the research lies in the formulation of region-specific strategic recommendations aimed at improving tourism infrastructure, enhancing market competitiveness, and promoting sustainable tourism development. The results of the study may serve as practical guidance for policymakers, regional authorities, and private stakeholders involved in the tourism sector.
DOI: 10.5281/zenodo.18328973
title: Talinaceae (Fenzl) Doweld. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.1.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 13th, 2026 at 11:06
DOI: 10.5281/zenodo.18632523
title: Talinaceae (Fenzl) Doweld. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.1.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 13th, 2026 at 11:06
DOI: 10.5281/zenodo.18316598
title: Typhaceae Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.1.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 13th, 2026 at 11:07
DOI: 10.5281/zenodo.18632527
title: Typhaceae Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.1.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 13th, 2026 at 11:07
DOI: 10.18150/puhr5i
title: Detection of H2O2 using MnO2 electrodes doped with Co2+ ions

description: This dataset collects electrochemical data for the detection of H2O2 using electrodes of MnO2 doped with various amounts of Co2+ ions. The data contains cyclic voltammetry, chronoamperometry and data collected in a microfluidic flow cell.More details in the file ReadMe.txt
DOI: 10.15468/dl.hx77xu
title: Occurrence Download

description: A dataset containing 14390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juniperus phoenicea turbinata, Rhamnus glandulosa, Visnea mocanera)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14390 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015436-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6zjsd
title: Occurrence Download

description: A dataset containing 1073 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Insect (Coleoptera) Biodiversity Across Forest Canopy and Understorey in SE-Asia BIFA5_026"
 ]
}

 The dataset includes 1073 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015437-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dgwlg.v2
title: Rasteniya Belgorodskoy Oblasti (Elenensky et al., 2004): accepted names
DOI: 10.5281/zenodo.18242546
title: Apiaceae Lindl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.1.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 13th, 2026 at 11:08
DOI: 10.5281/zenodo.18632532
title: Apiaceae Lindl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.1.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 13th, 2026 at 11:08
DOI: 10.15468/dl.c56yn4
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hymenocoleus neurodictyon",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 278 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015439-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4u7pf
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harrisia adscendens",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 267 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015441-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.