cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29196617.v1
title: GRACE downscaled TWSA product using Mascon wise Mass Conservation

description: GRACE downscaled TWSA product over India and scripts.
DOI: 10.15468/dl.8j5gev
title: Occurrence Download

description: A dataset containing 6883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Theobroma cacao L."
 ]
}

 The dataset includes 6883 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008799-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8prdn
title: Occurrence Download

description: A dataset containing 3617288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Undaria pinnatifida (Harv.) Suringar)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "or" : [
 "Issue is Zero coordinate",
 "Issue is Coordinate out of range",
 "Issue is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 3617288 records from 470 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006355-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x85a6h
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spodoptera littoralis",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015794-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gymywm
title: Occurrence Download

description: A dataset containing 78961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gambusia affinis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 78961 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015767-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18275745
title: Eryngium eriophorum Cham. & Schltdl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275744
title: Eryngium eriophorum Cham. & Schltdl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.15468/dl.jqyw3g
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosa nipponensis",
 "Year 1840-1880"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015795-260108223611665/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.31080118
title: <b>Assets</b> JOT

description: <b>Assets</b> DATA AND CODES
DOI: 10.6084/m9.figshare.31080118.v1
title: <b>Assets</b> JOT

description: <b>Assets</b> DATA AND CODES
DOI: 10.5281/zenodo.18275730
title: Eryngium echinatum Urb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275731
title: Eryngium echinatum Urb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275743
title: Dimensiones de los trastornos de personalidad en el MCMI-II
DOI: 10.5281/zenodo.18275742
title: Dimensiones de los trastornos de personalidad en el MCMI-II
DOI: 10.15468/dl.mf4347
title: Occurrence Download

description: A dataset containing 1566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphyotrichum novi-belgii",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1566 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015796-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7ga3v
title: Occurrence Download

description: A dataset containing 1928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphyotrichum novi-belgii",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1928 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015797-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtxw6b
title: Occurrence Download

description: A dataset containing 1284698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platalea leucorodia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 1284698 records from 792 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015772-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25740/gv342kn7369
title: M. tuberculosis and B. pertussis in wastewater solids

description: Concentrations of DNA from M. tuberculosis and B. pertusis in wastewater solids
DOI: 10.15468/dl.69evcj
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tapinoma magnum",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015798-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18275758
title: Eryngium horridum Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275759
title: Eryngium horridum Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275760
title: Eryngium luzulifolium Cham. & Schltdl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275761
title: Eryngium luzulifolium Cham. & Schltdl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.15468/dl.neqqed
title: Occurrence Download

description: A dataset containing 48692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gambusia holbrooki",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48692 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015799-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18173664
title: Data for "LUMOS: A Lumbar Multimodal Osteoporosis Screening Dataset with X-ray and CT images"

description: LUMOS is the first publicly available multimodal dataset for lumbar osteoporosis screening. It provides a comprehensive resource to advance AI-driven research in bone health assessment, particularly for automated osteoporosis classification and bone mineral density (BMD) prediction. It can also be used for medical image segmentation, medical image synthesis (e.g., X-ray-to-CT), and other potential applications.

 

Dataset Overview

Patients: 803

Lumbar X-ray images: 1,620 (anteroposterior or lateral views)

Lumbar CT scans: 280

All DICOM images have been anonymized.

In lumos_clinical_data:

DXA measurements: bmd, bmc, T-scores, Z-scores for vertebrae L1–L4...

Demographics: Age, gender, ethnicity, height, weight, BMI

Osteoporosis labels: 0 = Normal(T-score ≥ −1.0);1 = Osteopenia(−2.5 < T-score < −1.0);2 = Osteoporosis (T-score ≤ −2.5)

 

Repository Structure

LUMOS/

├── lumos_x/ # X-ray DICOM files (lumos_x_XXX/lumos_x_XXX_1.dcm,...)

├── lumos_ct/ # CT scan series (lumos_ct_XXX/lumos_ct_XXX_1.dcm, lumos_ct_XXX_2.dcm,...)

├── lumos_clinical_data.xlsx # Clinical metadata: demographics, DXA results, labels

└── README.md

(Correction: lumos_x_741_670_dcm.zip should be renamed as lumos_x_741_770_dcm.zip)

 

License

This dataset is licensed under a [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/).

Commercial use requires prior written permission from the ethics committee of the host institution.

 

Citation

If you use this dataset in your work, please cite the original publication:

Keyue Shi, Qianqian Shen, Zhaoming Ye, Liangjun Jiang, Jiajun Bu, and Haishuai Wang. 2025. LUMOS: A Lumbar Multimodal Osteoporosis Screening Dataset with X-ray and CT images. In Proceedings of the 33rd ACM International Conference on Multimedia (MM '25), October 27–31, 2025, Dublin, Ireland. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3746027.3758282

 

@inproceedings{shi2025lumos,

title={LUMOS: A Lumbar Multimodal Osteoporosis Screening Dataset with X-ray and CT images},

author={Shi, Keyue and Shen, Qianqian and Ye, Zhaoming and Jiang, Liangjun and Bu, Jiajun and Wang, Haishuai},

booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},

pages={13250--13257},

year={2025}

}

 

For more details, visit the official project page: https://keyueshi.github.io/LUMOS/
DOI: 10.5281/zenodo.18173663
title: Data for "LUMOS: A Lumbar Multimodal Osteoporosis Screening Dataset with X-ray and CT images"

description: LUMOS is the first publicly available multimodal dataset for lumbar osteoporosis screening. It provides a comprehensive resource to advance AI-driven research in bone health assessment, particularly for automated osteoporosis classification and bone mineral density (BMD) prediction. It can also be used for medical image segmentation, medical image synthesis (e.g., X-ray-to-CT), and other potential applications.

 

Dataset Overview

Patients: 803

Lumbar X-ray images: 1,620 (anteroposterior or lateral views)

Lumbar CT scans: 280

All DICOM images have been anonymized.

In lumos_clinical_data:

DXA measurements: bmd, bmc, T-scores, Z-scores for vertebrae L1–L4...

Demographics: Age, gender, ethnicity, height, weight, BMI

Osteoporosis labels: 0 = Normal(T-score ≥ −1.0);1 = Osteopenia(−2.5 < T-score < −1.0);2 = Osteoporosis (T-score ≤ −2.5)

 

Repository Structure

LUMOS/

├── lumos_x/ # X-ray DICOM files (lumos_x_XXX/lumos_x_XXX_1.dcm,...)

├── lumos_ct/ # CT scan series (lumos_ct_XXX/lumos_ct_XXX_1.dcm, lumos_ct_XXX_2.dcm,...)

├── lumos_clinical_data.xlsx # Clinical metadata: demographics, DXA results, labels

└── README.md

(Correction: lumos_x_741_670_dcm.zip should be renamed as lumos_x_741_770_dcm.zip)

 

License

This dataset is licensed under a [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/).

Commercial use requires prior written permission from the ethics committee of the host institution.

 

Citation

If you use this dataset in your work, please cite the original publication:

Keyue Shi, Qianqian Shen, Zhaoming Ye, Liangjun Jiang, Jiajun Bu, and Haishuai Wang. 2025. LUMOS: A Lumbar Multimodal Osteoporosis Screening Dataset with X-ray and CT images. In Proceedings of the 33rd ACM International Conference on Multimedia (MM '25), October 27–31, 2025, Dublin, Ireland. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3746027.3758282

 

@inproceedings{shi2025lumos,

title={LUMOS: A Lumbar Multimodal Osteoporosis Screening Dataset with X-ray and CT images},

author={Shi, Keyue and Shen, Qianqian and Ye, Zhaoming and Jiang, Liangjun and Bu, Jiajun and Wang, Haishuai},

booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},

pages={13250--13257},

year={2025}

}

 

For more details, visit the official project page: https://keyueshi.github.io/LUMOS/
DOI: 10.15468/dl.zwm23n
title: Occurrence Download

description: A dataset containing 6887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachycarpus fortunei",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6887 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015800-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18275475
title: SuperDARN data in netCDF format (1996-Apr)

description: 1996-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6809328
title: SuperDARN data in netCDF format (1996-Apr)

description: 1996-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.18275777
title: Eryngium megapotamicum Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275778
title: Eryngium megapotamicum Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.15468/dl.z2sr3x
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limia nigrofasciata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015802-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjenyv
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cedrela odorata",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 282 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015805-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6yfwa
title: Occurrence Download

description: A dataset containing 192970 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Caretta caretta",
 "Year 2000-2024"
 ]
}

 The dataset includes 192970 records from 483 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015783-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15269163
title: Empirical assessment of the perception of graphical threat model acceptability

description: Note: The terms of the license of this dataset prevents use of these data.
DOI: 10.5281/zenodo.15269164
title: Empirical assessment of the perception of graphical threat model acceptability

description: Note: The terms of the license of this dataset prevents use of these data.
DOI: 10.15468/dl.ekw976
title: Occurrence Download

description: A dataset containing 9524 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phylogenomics and the rise of the angiosperms"
 ]
}

 The dataset includes 9524 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003000-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ss6qam
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Spodoptera frugiperda J.E.Smith, 1797"
 ]
}

 The dataset includes 211 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002998-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atfdg3
title: Occurrence Download

description: A dataset containing 36901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "TaxonKey is Papilionidae"
 ]
}

 The dataset includes 36901 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014880-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/y2rt-bm90
title: "Data for Learning-To-Defer experiments"

description: "Stock data for Learning-To-Defer experiments including CSI300_Data and NASDAQA100_Data"
DOI: 10.26180/28847552
title: XAIstudy-Communicating uncertainty

description: This research describes a user study to determine which factors influence users’ acceptance of predictions made by ML models, and how two types of uncertainty representations affect users’ views about explanations.
DOI: 10.26180/28847552.v1
title: XAIstudy-Communicating uncertainty

description: This research describes a user study to determine which factors influence users’ acceptance of predictions made by ML models, and how two types of uncertainty representations affect users’ views about explanations.
DOI: 10.5517/ccdc.csd.cc2jmg8x
title: CCDC 2342399: Experimental Crystal Structure Determination

description: Related Article: Jing Chen, Meng-Ke Bai, You-Juan Zhang, Qing-Lun Wang|2025|J.Coord.Chem.|78|1|doi:10.1080/00958972.2025.2463542
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jmgbz
title: CCDC 2342401: Experimental Crystal Structure Determination

description: Related Article: Jing Chen, Meng-Ke Bai, You-Juan Zhang, Qing-Lun Wang|2025|J.Coord.Chem.|78|1|doi:10.1080/00958972.2025.2463542
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jmgc0
title: CCDC 2342402: Experimental Crystal Structure Determination

description: Related Article: Jing Chen, Meng-Ke Bai, You-Juan Zhang, Qing-Lun Wang|2025|J.Coord.Chem.|78|1|doi:10.1080/00958972.2025.2463542
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.