cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2686ja
title: Occurrence Download

description: A dataset containing 676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((-81.64952 -7.40322,-78.33508 -6.74584,-75.48043 -6.17965,-56.94046 -2.50246,-50.22906 -0.63818,-49.9805 13.94461,-81.64952 12.54816,-81.64952 -7.40322))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Leopardus tigrinus (Schreber, 1775), Leopardus guttulus (Hensel, 1872))",
 "Year 2000-2025"
 ]
}

 The dataset includes 676 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029713-250525065834625/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.29264819.v2
title: MK-11: An open bone-marrow megakaryocyte dataset for automated morphologic studies

description: Precise classification of megakaryocyte subtypes in bone marrow examination is crucial for the diagnosis and research of various hematological disorders, including Myelodysplastic Syndromes (MDS) and other platelet-production related diseases. While deep learning (DL) has demonstrated remarkable success in medical image classification, its application to megakaryocyte classification has been hindered by the scarcity of high-quality, openly licensed datasets. Therefore, we present MK-11, a dataset comprising 7,204 Wright-Giemsa stained single-cell images across 11 clinically relevant megakaryocyte subtypes. All images were annotated by two experienced hematopathologists with consensus review to ensure annotation quality, following standardized diagnostic criteria. Several state-of-the-art neural networks, including convolutional and transformer-based models, were evaluated on this benchmark, establishing strong baseline performance for megakaryocyte classification. To ensure reproducibility, we provide standardized five-fold cross-validation partitions along with all original images, annotations, partitioning schemes, and evaluation scripts under open licenses. In conclusion, this work built the first public megakaryocyte subtype classification dataset for automatic morphological assessment development and evaluation, serving as a benchmark for future research.
DOI: 10.15468/dl.btd7yy
title: Occurrence Download

description: A dataset listing the 35 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "Geometry POLYGON((-75.279 6.102,-75.259 6.102,-75.259 6.122,-75.279 6.122,-75.279 6.102))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 35 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029714-250525065834625/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.29265047
title: <b>Aquired Data for Research</b> Fostering Sustainable Tourism: The Role of Personal and Non-personal Interpretations on Visitor Cognitive Capabilities at The Fatahillah Museum

description: The PDF contains the dataset that's used for SPSS Analysis to see the influence of personal and non-personal interpretation on visitors' cognitive capabilities at the Fatahillah Museum
DOI: 10.6084/m9.figshare.29265047.v1
title: <b>Aquired Data for Research</b> Fostering Sustainable Tourism: The Role of Personal and Non-personal Interpretations on Visitor Cognitive Capabilities at The Fatahillah Museum

description: The PDF contains the dataset that's used for SPSS Analysis to see the influence of personal and non-personal interpretation on visitors' cognitive capabilities at the Fatahillah Museum
DOI: 10.15468/dl.3ebvez
title: Occurrence Download

description: A dataset containing 434289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((138.69055 -24.3042,138.24902 -30.49323,138.24902 -30.49323,138.25361 -32.25082,139.94585 -35.76658,141.77689 -36.78463,145.21084 -36.84201,147.92197 -36.24715,148.93767 -34.61482,150.35126 -31.70679,150.19525 -31.09951,149.70312 -26.68141,147.08588 -21.85321,144.81116 -19.01143,139.16648 -19.64743,138.69055 -24.3042))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU)"
 ]
}

 The dataset includes 434289 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029715-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15620640
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608w Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608w Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15620641
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608w Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608w Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.xp7z5c
title: Occurrence Download

description: A dataset containing 539 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocnemis nigrivestis (Bourcier & Mulsant, 1852)"
 ]
}

 The dataset includes 539 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029718-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14671772
title: POLITISKY24: U.S. Political Bluesky Dataset with User Stance Labels

description: POLITISKY24 (Political Stance Analysis on Bluesky for 2024) is a first-of-its-kind dataset for stance detection, focused on the 2024 U.S. presidential election. It designed for target-specific user-level stance detection and contains 16,044 user-target stance pairs centered on two key political figures, Kamala Harris and Donald Trump. In addition, this dataset includes detailed metadata, such as complete user posting histories and engagement graphs (likes, reposts, and quotes). 

Stance labels were generated using a robust and evaluated pipeline that integrates state-of-the-art Information Retrieval (IR) techniques with Large Language Models (LLMs), offering confidence scores, reasoning explanations, and text spans for each label. With an LLM-assisted labeling accuracy of 81%, POLITISKY24 provides a rich resource for the target-specific stance detection task. This dataset enables the exploration of Bluesky platform, paving the way for deeper insights into political opinions and social discourse, and addressing gaps left by traditional datasets constrained by platform policies.

 

In the uploaded files:





The file user_post_history_dataset.parquet includes the posting history of 8,561 active Bluesky users who have shared content related to American politics.




The file user_post_list_for_stance_detection.parquet contains a list of up to 1,000 recent English-language post IDs per user, intended for use in the stance detection task.




The file user_network_dataset.parquet captures users’ interactions through likes, reposts, and quotes.




The file human_annotated_validation_user_stance_dataset.parquet contains human-annotated stance labels for 445 validation users toward Trump and Harris, resulting in a total of 890 user-target pairs. The labels are divided into three stances: 1 (favor), 2 (against), and 3 (neither).




The file llm_annotated_validation_user_stance_dataset.parquet contains stance labels annotated by an LLM for the same 445 validation users toward Trump and Harris, also totaling 890 user-target pairs. In addition to stance labels, each pair includes an explanation of the reasoning, the source tweets, spans from the source tweets used in the reasoning, and a confidence score.




The file llm_annotated_full_user_stance_dataset.parquet is similar to the above LLM-annotated validation file but covers all dataset users excluding the validation set. It provides stance labels for 8,022 users toward Trump and Harris, totaling 16,044 user-target pairs.




The file human_annotated_validation_stance_relevancy_dataset (post-target entity pairs).parquet contains human-annotated stance labels for 175 validation posts toward Trump and Harris, resulting in 350 post-target pairs. The labels are divided into three stances: 1 (favor), 2 (against), and 3 (neither).




The file human_annotated_validation_stance_relevancy_dataset (query-post stance relevancy pairs).parquet contains 700 query-post stance relevancy pairs derived from the post-target entity pairs.
DOI: 10.5281/zenodo.15616911
title: POLITISKY24: U.S. Political Bluesky Dataset with User Stance Labels

description: POLITISKY24 (Political Stance Analysis on Bluesky for 2024) is a first-of-its-kind dataset for stance detection, focused on the 2024 U.S. presidential election. It designed for target-specific user-level stance detection and contains 16,044 user-target stance pairs centered on two key political figures, Kamala Harris and Donald Trump. In addition, this dataset includes detailed metadata, such as complete user posting histories and engagement graphs (likes, reposts, and quotes). 

Stance labels were generated using a robust and evaluated pipeline that integrates state-of-the-art Information Retrieval (IR) techniques with Large Language Models (LLMs), offering confidence scores, reasoning explanations, and text spans for each label. With an LLM-assisted labeling accuracy of 81%, POLITISKY24 provides a rich resource for the target-specific stance detection task. This dataset enables the exploration of Bluesky platform, paving the way for deeper insights into political opinions and social discourse, and addressing gaps left by traditional datasets constrained by platform policies.

 

In the uploaded files:





The file user_post_history_dataset.parquet includes the posting history of 8,561 active Bluesky users who have shared content related to American politics.




The file user_post_list_for_stance_detection.parquet contains a list of up to 1,000 recent English-language post IDs per user, intended for use in the stance detection task.




The file user_network_dataset.parquet captures users’ interactions through likes, reposts, and quotes.




The file human_annotated_validation_user_stance_dataset.parquet contains human-annotated stance labels for 445 validation users toward Trump and Harris, resulting in a total of 890 user-target pairs. The labels are divided into three stances: 1 (favor), 2 (against), and 3 (neither).




The file llm_annotated_validation_user_stance_dataset.parquet contains stance labels annotated by an LLM for the same 445 validation users toward Trump and Harris, also totaling 890 user-target pairs. In addition to stance labels, each pair includes an explanation of the reasoning, the source tweets, spans from the source tweets used in the reasoning, and a confidence score.




The file llm_annotated_full_user_stance_dataset.parquet is similar to the above LLM-annotated validation file but covers all dataset users excluding the validation set. It provides stance labels for 8,022 users toward Trump and Harris, totaling 16,044 user-target pairs.




The file human_annotated_validation_stance_relevancy_dataset (post-target entity pairs).parquet contains human-annotated stance labels for 175 validation posts toward Trump and Harris, resulting in 350 post-target pairs. The labels are divided into three stances: 1 (favor), 2 (against), and 3 (neither).




The file human_annotated_validation_stance_relevancy_dataset (query-post stance relevancy pairs).parquet contains 700 query-post stance relevancy pairs derived from the post-target entity pairs.
DOI: 10.15468/dl.5kspy6
title: Occurrence Download

description: A dataset listing the 4491 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Plantae)",
 "StateProvince is one of (quindío)"
 ]
 }
 ]
}

 The dataset's 4491 records were derived from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029716-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc8c2y
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vermont Small Mammal Atlas Records"
 ]
}

 The dataset's 2 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029717-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12079298
title: Saline Intrusion in the Mekong Delta (2021-2022)
DOI: 10.5281/zenodo.15620644
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608w Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608w Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15620645
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608w Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608w Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.13950726
title: Data of Survey on National Contributions to EOSC and Open Science 2023

description: This is the data set of the annual survey on National Contributions to EOSC and Open Science 2023 for the EOSC Steering Board

The annual survey on National Contributions to EOSC and Open Science was developed by the EOSC Future project and EOSC Steering Board to monitor policies, practices, and impacts related to EOSC and Open Science at national and institutional levels in Europe

The annual survey for 2023 was published in the EOSC Open Science Observatory on 17 January 2024 and ran until 01 July 2024 whereby 32 European member states, associated countries, and other countries responded to the survey

The data of the annual survey for 2023 is available and exploitable in the online dashboard of the EOSC Open Science Observatory developed by Technopolis Group and OpenAIRE in the EOSC Future project and continued in the EOSC Track project: [https://eoscobservatory.eosc-portal.eu]

Disclaimer 1: The annual survey on National Contributions to EOSC and Open Science is in an initial stage of implementation and will be improved in future iterations whereby the data should for now be taken as a best-effort attempt by participating countries

Disclaimer 2: V1 of the data set included an error in the data set and has thus been restricted and replaced by an updated V2 of the data set
DOI: 10.5281/zenodo.15130171
title: Data of Analysis of Survey on National Contributions to EOSC and Open Science 2023

description: This is the data set behind the graphs in the Analysis of Survey on National Contributions to EOSC and Open Science 2023 

The annual survey on National Contributions to EOSC and Open Science was developed by the EOSC Future project and EOSC Steering Board to monitor policies, practices, and impacts related to EOSC and Open Science at national and institutional levels in Europe

The annual survey for 2023 was published in the EOSC Open Science Observatory on 17 January 2024 and ran until 01 July 2024 whereby 32 European member states, associated countries, and other countries responded to the survey

The data of the annual survey for 2023 is available and exploitable in the online dashboard of the EOSC Open Science Observatory developed by Technopolis Group and OpenAIRE in the EOSC Future project and continued in the EOSC Track Project: [https://eoscobservatory.eosc-portal.eu]

Disclaimer: Survey questions have been ordered in the spreadsheet according to how they have been presented in the analysis report and are not in numerical order
DOI: 10.34740/kaggle/dsv/12101728
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15620651
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608w Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608w Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15620652
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608w Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608w Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.hgc9dy
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Justicia triloba (Lindau) E.C.O.Chagas & Costa-Lima"
 ]
}

 The dataset includes 347 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029719-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ev7bj3
title: Occurrence Download

description: A dataset containing 7929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-148.30256 -8.38926,31.30256 -8.38926,31.30256 63.38926,-148.30256 63.38926,-148.30256 -8.38926))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ateles geoffroyi Kuhl, 1820"
 ]
}

 The dataset includes 7929 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029721-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qunumm
title: Occurrence Download

description: A dataset listing the 223 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Plantae)",
 "StateProvince is one of (quindío)",
 "GadmGid is one of (COL.25.8_2)"
 ]
 }
 ]
}

 The dataset's 223 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029720-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhawmz
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.4672 45.00005,-73.51561 42.64314,-72.31758 42.61642,-71.47049 44.98293,-73.4672 45.00005))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mus musculus Linnaeus, 1758"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029722-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15493289
title: Touch vs. No-Touch Video Dataset from a See-Through Perspective

description: This dataset contains 16,841 color images (448×448 pixels, RGB) of a stylus in contact or not in contact with a surface, collected from a see-through optical setup. Each image is paired with a binary label: 1 for contact and 0 for no-contact. The dataset was collected as part of PhD research at Massey University, focusing on human-computer interaction and stylus detection in transparent interaction surfaces.

The images were captured using a synchronized high-speed camera and manually labeled based on contact state. Data is stored in a TFRecord format (all_data.tfrecord), with two datasets: /images (shape: N×448×448×3, dtype: uint8, RGB) and /labels (shape: N, dtype: bool). 

This dataset is intended for use in computer vision, interaction design, and tactile sensing research.
DOI: 10.5281/zenodo.15493290
title: Touch vs. No-Touch Video Dataset from a See-Through Perspective

description: This dataset contains 16,841 color images (448×448 pixels, RGB) of a stylus in contact or not in contact with a surface, collected from a see-through optical setup. Each image is paired with a binary label: 1 for contact and 0 for no-contact. The dataset was collected as part of PhD research at Massey University, focusing on human-computer interaction and stylus detection in transparent interaction surfaces.

The images were captured using a synchronized high-speed camera and manually labeled based on contact state. Data is stored in a TFRecord format (all_data.tfrecord), with two datasets: /images (shape: N×448×448×3, dtype: uint8, RGB) and /labels (shape: N, dtype: bool). 

This dataset is intended for use in computer vision, interaction design, and tactile sensing research.
DOI: 10.15468/dl.f9j6rq
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.13153 42.51152,9.28666 42.51152,9.28666 42.57352,9.13153 42.57352,9.13153 42.51152))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ophioglossum azoricum C.Presl"
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029723-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/xtmj-q319
title: Possible environmental quenching in an interacting little red dot pair at z ∼ 7

description: Possible environmental quenching in an interacting little red dot
pair at z ∼ 7
DOI: 10.15468/dl.7au248
title: Occurrence Download

description: A dataset containing 16597 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geospiza fortis Gould, 1837"
 ]
}

 The dataset includes 16597 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029725-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18167/dvn1/widmri
title: Regional species list of invasive plants in the south west Indian Ocean Islands

description: List of invasive plant species from 16 islands/territories in the south west Indian Ocean compiled by the regional program EPIBIO