cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15690691
title: NMR data set to accompany the manuscript "Ionene-based physical hydrogels: probing the sol-gel transition, chain and counterion dynamics by means of NMR" by S. Mezdari et al

description: NMR raw data to accompany manuscript "Ionene-based physical hydrogels: probing the sol-gel transition, chain and counterion dynamics by means of NMR" by S. Mezdari et al
DOI: 10.5281/zenodo.17561082
title: Bulk RNA-Seq from CRISPR-Cas9 Screening Identifies Resistance Mechanisms to KRAS Inhibition in Pancreatic Cancer part 3
DOI: 10.5281/zenodo.17561083
title: Bulk RNA-Seq from CRISPR-Cas9 Screening Identifies Resistance Mechanisms to KRAS Inhibition in Pancreatic Cancer part 3
DOI: 10.15468/dl.x4b8g3
title: Occurrence Download

description: A dataset containing 21641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monacanthus tuckeri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21641 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023353-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbtef5
title: Occurrence Download

description: A dataset containing 18265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nelusetta ayraud",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18265 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023354-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgz9az
title: Occurrence Download

description: A dataset containing 4220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.15615 50.85665,14.49696 50.85665,14.49696 50.99833,14.15615 50.99833,14.15615 50.85665))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2019-2022"
 ]
}

 The dataset includes 4220 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023355-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhh3sy
title: Occurrence Download

description: A dataset containing 6124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Accipiter striatus",
 "Year 2015-2025"
 ]
}

 The dataset includes 6124 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023356-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.un96bb
title: Occurrence Download

description: A dataset containing 1036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pervagor janthinosoma",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1036 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023357-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e237888
title: ECIN Replication Package for "Regional Impacts of International Tourism Boycott: A China-Japan Conflict"

description: We examine the regional impacts of the Sino-Japan dispute over the Diaoyu/
Senkaku Islands that sparked a Chinese consumer boycott of travel to Japan from
August, 2012. We find that the boycott caused large and regionally heterogenous
effects in Japan. The boycott’s negative impacts are larger for Japanese prefectures
with higher pre-boycott dependency on visitors, especially tourists, from China.
While the intensity of the boycott effects is strongest within the first six months
of the boycott, we find significant negative impacts of the boycott even when averaging
across 24 months post-boycott. Our results demonstrate the importance
of diversification across traveler types and countries of origin in the provision of
travel services.
description: Travelers (foreign and domestic) who used accommodation services in Japan from 2007 to 2019. Smallest Geographic Unit: Japan prefecture
DOI: 10.3886/e237888v3
title: ECIN Replication Package for "Regional Impacts of International Tourism Boycott: A China-Japan Conflict"

description: We examine the regional impacts of the Sino-Japan dispute over the Diaoyu/
Senkaku Islands that sparked a Chinese consumer boycott of travel to Japan from
August, 2012. We find that the boycott caused large and regionally heterogenous
effects in Japan. The boycott’s negative impacts are larger for Japanese prefectures
with higher pre-boycott dependency on visitors, especially tourists, from China.
While the intensity of the boycott effects is strongest within the first six months
of the boycott, we find significant negative impacts of the boycott even when averaging
across 24 months post-boycott. Our results demonstrate the importance
of diversification across traveler types and countries of origin in the provision of
travel services.
description: Travelers (foreign and domestic) who used accommodation services in Japan from 2007 to 2019. Smallest Geographic Unit: Japan prefecture
DOI: 10.15468/dl.43vvbj
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "OccurrenceStatus is Present",
 "TaxonKey is Amblyopsidae"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023360-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b3qj5a
title: Occurrence Download

description: A dataset containing 1140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudomonacanthus peroni",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1140 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023359-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pcjg2
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stephanolepis cirrhifer",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 709 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023361-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yawntk
title: Occurrence Download

description: A dataset containing 25391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stephanolepis hispidus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25391 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023362-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbu9c7
title: Occurrence Download

description: A dataset containing 1491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.14324 50.85089,14.49085 50.85089,14.49085 50.99902,14.14324 50.99902,14.14324 50.85089))",
 "HasGeospatialIssue is false",
 "Month is one of (August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "Year 2022-2022"
 ]
}

 The dataset includes 1491 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023363-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9ybtu
title: Occurrence Download

description: A dataset containing 493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thamnaconus modestus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 493 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023365-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17554186
title: GoyaMetrics

description: Este conjunto de datos recopila información histórica de los Premios Goya (los principales galardones del cine español) desde 1987 hasta la edición más reciente disponible.

Los datos se han obtenido mediante un proceso propio de web scraping desarrollado en Python, utilizando las librerías BeautifulSoup y Requests para la descarga, análisis y extracción del contenido de las páginas oficiales de Wikipedia correspondientes a cada edición de los premios.

El dataset contiene 3.637 registros y 10 campos, que incluyen tanto metadatos de cada edición como información sobre nominaciones, ganadores y categorías premiadas.

Fuente original: Wikipedia — páginas oficiales de los Premios Goya (https://es.wikipedia.org/wiki/Premios_Goya).
DOI: 10.5281/zenodo.17554187
title: GoyaMetrics

description: Este conjunto de datos recopila información histórica de los Premios Goya (los principales galardones del cine español) desde 1987 hasta la edición más reciente disponible.

Los datos se han obtenido mediante un proceso propio de web scraping desarrollado en Python, utilizando las librerías BeautifulSoup y Requests para la descarga, análisis y extracción del contenido de las páginas oficiales de Wikipedia correspondientes a cada edición de los premios.

El dataset contiene 3.637 registros y 10 campos, que incluyen tanto metadatos de cada edición como información sobre nominaciones, ganadores y categorías premiadas.

Fuente original: Wikipedia — páginas oficiales de los Premios Goya (https://es.wikipedia.org/wiki/Premios_Goya).
DOI: 10.15468/dl.37fb65
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GadmGid is FRA.10.8_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Sylvia undata"
 ]
}

 The dataset includes 122 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023364-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17561208
title: NGS processed VCFs, per-sample post-processed CSVs, and Maestro project files for the TYR / FANCD2 study

description: This archive contains 63 folders in total: 62 sample folders and 1 project/protein folder.





Each of the 62 sample folders contains two files:





a processed VCF file (*.vcf) — variant calls produced by the NGS pipeline (filtered and QC’ed).




a post-processed CSV file (*.csv) — per-sample results after annotation, and preparation according to the manuscript methods. These CSV files are intended to be merged across the 62 samples to produce the consolidated table used for statistical testing.





Key example filenames included:





passed_filtered_without_Y_and_benign_AD_GT_matched_pgl.vcf(Example of the final VCF output from the NGS pipeline.)




Franklin_Results_Without_Benign_LikelyBenign.csv(Example of a results table used for statistical analyses after adjustment. Note: check whether this is a single-sample or already-merged file in the archive; CSVs are generally per-sample and can be concatenated.)



Project / protein folder contents (the single, separate folder):





Project_TYR_AF.prj(Schrödinger Maestro project file — restores the project workspace.)




proteinprep_TYR_AF/(Prepared protein structures for downstream analysis. All structure files are in .mae format.)




sitemap_TYR_AF/(Sitemap outputs describing predicted active sites / pockets.)
DOI: 10.5281/zenodo.17561209
title: NGS processed VCFs, per-sample post-processed CSVs, and Maestro project files for the TYR / FANCD2 study

description: This archive contains 63 folders in total: 62 sample folders and 1 project/protein folder.





Each of the 62 sample folders contains two files:





a processed VCF file (*.vcf) — variant calls produced by the NGS pipeline (filtered and QC’ed).




a post-processed CSV file (*.csv) — per-sample results after annotation, and preparation according to the manuscript methods. These CSV files are intended to be merged across the 62 samples to produce the consolidated table used for statistical testing.





Key example filenames included:





passed_filtered_without_Y_and_benign_AD_GT_matched_pgl.vcf(Example of the final VCF output from the NGS pipeline.)




Franklin_Results_Without_Benign_LikelyBenign.csv(Example of a results table used for statistical analyses after adjustment. Note: check whether this is a single-sample or already-merged file in the archive; CSVs are generally per-sample and can be concatenated.)



Project / protein folder contents (the single, separate folder):





Project_TYR_AF.prj(Schrödinger Maestro project file — restores the project workspace.)




proteinprep_TYR_AF/(Prepared protein structures for downstream analysis. All structure files are in .mae format.)




sitemap_TYR_AF/(Sitemap outputs describing predicted active sites / pockets.)
DOI: 10.15468/dl.37w5ga
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.15452 50.86807,14.52312 50.86807,14.52312 50.99371,14.15452 50.99371,14.15452 50.86807))",
 "HasGeospatialIssue is false",
 "Month is one of (August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Dryocopus martius",
 "Year 2022-2022"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023366-251025141854904/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/13661214
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17561266
title: List of officers in pro-Treaty IRA Divisions subsequent to 'Split'

description: This dataset was transcribed as part of a doctoral thesis completed by Jack Kavanagh. This file entitled, 'List of [pro-Treaty] Officers in Diviions subsequent to the 'Split'. The file is catalogued and available via the Military Archives of Ireland, HS/A/0859.
DOI: 10.15468/dl.dwgytz
title: Occurrence Download

description: A dataset containing 16324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sri Lanka",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is Psilopogon rubricapillus",
 "Year 2010-2024"
 ]
}

 The dataset includes 16324 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023367-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16987663
title: List of officers in pro-Treaty IRA Divisions subsequent to 'Split'

description: This dataset was transcribed as part of a doctoral thesis completed by Jack Kavanagh. This file entitled, 'List of [pro-Treaty] Officers in Diviions subsequent to the 'Split'. The file is catalogued and available via the Military Archives of Ireland, HS/A/0859.
DOI: 10.15468/dl.q4ndqh
title: Occurrence Download

description: A dataset containing 10949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halargyreus johnsonii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10949 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023368-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17557646
title: TongueAtlas-4K: A Large-Scale Tongue Imaging Benchmark for AI Diagnosis

description: Description

TongueAtlas-4K is a large-scale dataset consisting of 4,000 tongue images collected from clinical patients, annotated by certified Traditional Chinese Medicine (TCM) experts.  

This dataset is designed to support research in AI-assisted tongue diagnosis, including tasks such as image classification, syndrome recognition.

This dataset is associated with the paper "MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging" (AAAI 2026, to appear). If you use this dataset, please cite the paper.

Dataset Contents- `images.zip`: Contains 4,000 raw tongue image files in JPG format.- `labels.xlsx`: Contains image filenames and their corresponding labels for 22 tongue appearance categories.
DOI: 10.5281/zenodo.17557645
title: TongueAtlas-4K: A Large-Scale Tongue Imaging Benchmark for AI Diagnosis

description: Description

TongueAtlas-4K is a large-scale dataset consisting of 4,000 tongue images collected from clinical patients, annotated by certified Traditional Chinese Medicine (TCM) experts.  

This dataset is designed to support research in AI-assisted tongue diagnosis, including tasks such as image classification, syndrome recognition.

This dataset is associated with the paper "MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging" (AAAI 2026, to appear). If you use this dataset, please cite the paper.

Dataset Contents- `images.zip`: Contains 4,000 raw tongue image files in JPG format.- `labels.xlsx`: Contains image filenames and their corresponding labels for 22 tongue appearance categories.
DOI: 10.15468/dl.bcjx5n
title: Occurrence Download

description: A dataset containing 2645422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Australia",
 "TaxonKey is Columbiformes"
 ]
}

 The dataset includes 2645422 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023358-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pt7c9a
title: Occurrence Download

description: A dataset containing 15057 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mora moro",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15057 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023369-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17560882
title: Underwater images collected by a Kite surf in Le-Morne-Manawa, Mauritius - 2019-09-04

description: This dataset was collected by a Kite surf in Le-Morne-Manawa, Mauritius - 2019-09-04. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!