cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18042853
title: Dataset and code for research article "CAHNetF-DTP: A Community-Aware heterogeneous Network based Embedding Framework for drug-target Interaction prediction"

description: This repository contains the datasets, feature files, and source code used in the experiments, reported in the manuscript "CAHNetF-DTP: A Community-Aware heterogeneous Network based Embedding Framework for drug-targetInteraction prediction"
DOI: 10.5281/zenodo.18070693
title: Dataset and code for research article "CAHNetF-DTP: A Community-Aware heterogeneous Network based Embedding Framework for drug-target Interaction prediction"

description: This repository contains the datasets, feature files, and source code used in the experiments, reported in the manuscript "CAHNetF-DTP: A Community-Aware heterogeneous Network based Embedding Framework for drug-targetInteraction prediction"
DOI: 10.5281/zenodo.17580237
title: BreastDCEDL: A Deep Learning–Ready Breast DCE-MRI Dataset

description: BreastDCEDL: A Dynamic Contrast-Enhanced Breast MRI Dataset

demo https://colab.research.google.com/github/naomifridman/BreastDCEDL/blob/main/BrestDCEDL_zenodo_demo.ipynb

BreastDCEDL is a curated, deep learning–ready dataset of 3D DCE-MRI scans from 2,070 breast cancer patients across three major clinical trials (I-SPY1, I-SPY2, Duke) available through The Cancer Imaging Archive (TCIA). The dataset includes pre-treatment MRI volumes, 3D tumor segmentations, and harmonized clinical and demographic metadata, including pathologic complete response (pCR), hormone receptor (HR), and HER2 status. This resource supports advanced AI research in breast cancer, enabling training and evaluation of transformer-based and other deep learning models.

2070 patients from TCIA clinical trials3D MRI scans · Tumor segmentations · Clinical metadataLabels: pCR, HR, HER2, age, race

Citation:

@misc{fridman2025breastdcedlcomprehensivebreastcancer,      title={BreastDCEDL: A Comprehensive Breast Cancer DCE-MRI Dataset and Transformer Implementation for Treatment Response Prediction},       author={Naomi Fridman and Bubby Solway and Tomer Fridman and Itamar Barnea and Anat Goldstein},      year={2025},      eprint={2506.12190},      archivePrefix={arXiv},      primaryClass={cs.CV},      url={https://arxiv.org/abs/2506.12190}, }

Keywords: breast cancer, DCE-MRI, tumor segmentation, deep learning, clinical metadata, ViT, pCR prediction, pCR,HR,HER2,YCIA,ISPY1,DUKE,ISPY2

License Information

This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. The source data were obtained from The Cancer Imaging Archive (TCIA) under the following licenses: I-SPY 1 (CC BY 3.0), I-SPY 2 (CC BY 4.0), and Duke Breast Cancer MRI (CC BY-NC 4.0). To comply with the most restrictive source license (Duke), this derivative dataset adopts the CC BY-NC 4.0 license. Users may share and adapt the data with appropriate attribution, but commercial use is not permitted. For commercial applications, users should contact the original data providers through TCIA.
DOI: 10.5281/zenodo.18073514
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.5281/zenodo.17274053
title: BreastDCEDL: A Deep Learning–Ready Breast DCE-MRI Dataset

description: BreastDCEDL: A Dynamic Contrast-Enhanced Breast MRI Dataset

BreastDCEDL is a curated, deep learning–ready dataset of 3D DCE-MRI scans from 2,070 breast cancer patients across three major clinical trials (I-SPY1, I-SPY2, Duke) available through The Cancer Imaging Archive (TCIA). The dataset includes pre-treatment MRI volumes, 3D tumor segmentations, and harmonized clinical and demographic metadata, including pathologic complete response (pCR), hormone receptor (HR), and HER2 status. This resource supports advanced AI research in breast cancer, enabling training and evaluation of transformer-based and other deep learning models.

2070 patients from TCIA clinical trials3D MRI scans · Tumor segmentations · Clinical metadataLabels: pCR, HR, HER2, age, race

 

Keywords: breast cancer, DCE-MRI, tumor segmentation, deep learning, clinical metadata, ViT, pCR prediction, pCR,HR,HER2,YCIA,ISPY1,DUKE,ISPY2

License info

This dataset is released under CC BY-NC 4.0 to comply with the licensing terms of the source data from The Cancer Imaging Archive (TCIA). The I-SPY 1 dataset is licensed under CC BY 3.0 and I-SPY 2 under CC BY 4.0, both of which permit commercial use. However, the Duke Breast Cancer MRI dataset is licensed under CC BY-NC 4.0, which restricts commercial use. As this derivative dataset integrates data from all three sources, it must adopt the most restrictive license. Users may freely share and adapt the data with appropriate attribution for non-commercial purposes. For commercial applications involving Duke-derived data, users should contact the original data providers through TCIA.
DOI: 10.5281/zenodo.15627233
title: BreastDCEDL: A Deep Learning–Ready Breast DCE-MRI Dataset

description: BreastDCEDL: A Dynamic Contrast-Enhanced Breast MRI Dataset

BreastDCEDL is a curated, deep learning–ready dataset of 3D DCE-MRI scans from 2,070 breast cancer patients across three major clinical trials (I-SPY1, I-SPY2, Duke) available through The Cancer Imaging Archive (TCIA). The dataset includes pre-treatment MRI volumes, 3D tumor segmentations, and harmonized clinical and demographic metadata, including pathologic complete response (pCR), hormone receptor (HR), and HER2 status. This resource supports advanced AI research in breast cancer, enabling training and evaluation of transformer-based and other deep learning models.

2070 patients from TCIA clinical trials3D MRI scans · Tumor segmentations · Clinical metadataLabels: pCR, HR, HER2, age, race

 

Keywords: breast cancer, DCE-MRI, tumor segmentation, deep learning, clinical metadata, ViT, pCR prediction, pCR,HR,HER2,YCIA,ISPY1,DUKE,ISPY2

 

License info

This dataset is released under CC BY-NC 4.0 to comply with the licensing terms of the source data from The Cancer Imaging Archive (TCIA). The I-SPY 1 dataset is licensed under CC BY 3.0 and I-SPY 2 under CC BY 4.0, both of which permit commercial use. However, the Duke Breast Cancer MRI dataset is licensed under CC BY-NC 4.0, which restricts commercial use. As this derivative dataset integrates data from all three sources, it must adopt the most restrictive license. Users may freely share and adapt the data with appropriate attribution for non-commercial purposes. For commercial applications involving Duke-derived data, users should contact the original data providers through TCIA.
DOI: 10.13140/rg.2.2.13156.64640
title: Integrating Multidimensional Preferences and Knowledge Tracing for Adaptive Learning Path Recommendation in EFL
DOI: 10.15468/2b9vbx
title: Geographic distribution of the hard ticks (Acari: Ixodida: Ixodidae) of the world by countries and territories

description: This dataset contains the digitized treatments in Plazi based on the original journal article Guglielmone, Alberto A., Nava, Santiago, Robbins, Richard G. (2023): Geographic distribution of the hard ticks (Acari: Ixodida: Ixodidae) of the world by countries and territories. Zootaxa 5251 (1): 1-274, DOI: 10.11646/zootaxa.5251.1.1, URL: http://dx.doi.org/10.11646/zootaxa.5251.1.1AbstractThe hard tick family Ixodidae currently comprises 762 species worldwide, but an analysis of the occurrence of these species in the world´s countries, territories, zoogeographic regions (Afrotropical, Australasian, Nearctic, Neotropical, Oriental, Palearctic) and remote islands has not been attempted since 2009. Here, we present and critically discuss distributional data for all currently accepted ixodid species known from 226 countries and territories in six zoogeographic realms. This summary of ixodid tick biogeography should prove to be a valuable reference for biologists interested in ticks as organisms as well as specialists focusing on tick-borne diseases. Data for all species treated here were derived from a literature search that ended on March 31, 2022.
DOI: 10.15468/dl.usp3dw
title: Occurrence Download

description: A dataset containing 2991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Daboia"
 ]
}

 The dataset includes 2991 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067577-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/wye55j
title: Order Rodentia - Family Cricetidae

description: This dataset contains the digitized treatments in Plazi based on the original book chapter Wilson, Don E., Reeder, DeeAnn (2005): Order Rodentia - Family Cricetidae. In: Mammal Species of the World: a Taxonomic and Geographic Reference (3 rd Edition), Volume 2. Baltimore: The Johns Hopkins University Press: 955-1189, ISBN: 0-8018-8221-4, DOI: 10.5281/zenodo.7316535
DOI: 10.15468/dl.5mu3cy
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera pardus"
 ]
}

 The dataset includes 30 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067580-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/evr3ng
title: A catalogue of Indian Arctiinae (Erebidae, Lepidoptera)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Singh, Navneet, Joshi, Rahul, Kirti, Jagbir Singh, Bisht, Santosh Singh, Param, Harsimranjeet Singh (2021): A catalogue of Indian Arctiinae (Erebidae, Lepidoptera). Zootaxa 5058 (1): 1-118, DOI: 10.11646/zootaxa.5058.1.1AbstractWe present a catalogue of 673 species and nine subspecies of Indian Arctiinae in 175 genera which represents 6.11% of the global Arctiinae. Out of 673 species, a monogeneric tribe Amerilini is represented by four species (0.59 % of Indian Arctiinae and 6.06 % of global Amerilini), Arctiini are known by 180 species in 38 genera (26.74 % of Indian Arctiinae and 2.73% of global Arctiini), Lithosiini comprise 419 species in 128 genera (62.25% of Indian Arctiinae and 13.30% of global Lithosiini), and Syntomini account for 70 species in eight genera (10.40 % of Indian Arctiinae and 5.83% of global Syntomini). Information related to type localities, records from India with respective literature references, and the genus/ species synonyms is provided. Brief summaries for the four tribes of Indian Arctiinae, stating their Indian genus and species diversities, diagnostic characters of imagines are also provided. Furthermore, we present data on the distribution of the Arctiinae within the biogeographic zones of India. In addition, a brief analysis of the research history of Indian Arctiinae illustrates the general patterns of when and by whom the Indian species were described.
DOI: 10.15468/dl.fcnbed
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cervus nippon"
 ]
}

 The dataset includes 126 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067581-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hs67t7
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Moschus moschiferus"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067582-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3envs2
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Moschus berezovskii"
 ]
}

 The dataset includes 77 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067583-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.en5gux
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bambusa albolineata"
 ]
}

 The dataset includes 51 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067584-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zep4rt
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Martes foina"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067585-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ba8cfz
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cervus canadensis"
 ]
}

 The dataset includes 39 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067587-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26rb2r
title: Occurrence Download

description: A dataset containing 577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Macaca mulatta"
 ]
}

 The dataset includes 577 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067586-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up6h9v
title: Occurrence Download

description: A dataset containing 527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erinaceus amurensis"
 ]
}

 The dataset includes 527 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067588-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e35nsm
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Andrias davidianus"
 ]
}

 The dataset includes 67 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067589-251120083545085/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/14317953
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/qvyruc
title: Order Rodentia - Family Muridae

description: This dataset contains the digitized treatments in Plazi based on the original book chapter Wilson, Don E., Reeder, DeeAnn (2005): Order Rodentia - Family Muridae. In: Mammal Species of the World: a Taxonomic and Geographic Reference (3 rd Edition), Volume 2. Baltimore: The Johns Hopkins University Press: 1189-1531, ISBN: 0-8018-8221-4, DOI: 10.5281/zenodo.7316535
DOI: 10.57967/hf/7337
title: Discover-MIDI-Dataset
DOI: 10.57967/hf/7361
title: Discover-MIDI-Dataset
DOI: 10.15468/dl.fdwmkt
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lutra lutra"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067590-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk2v4u
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trogopterus xanthipes"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067591-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sx56uc
title: Occurrence Download

description: A dataset containing 127805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia nigra",
 "Year 2020-2025"
 ]
}

 The dataset includes 127805 records from 324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067578-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ertn8n
title: Occurrence Download

description: A dataset containing 196918 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Celtis"
 ]
}

 The dataset includes 196918 records from 1655 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067575-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13gvgn6
title: Water level, inundation, longitudinal profile, geomorphic change, and landform data for the Bad River (Mashkiiziibii) Estuary, WI, between 2014 and 2023

description: Some of the richest coastal wetland and estuarine habitats are found along the Great Lakes, but the dynamic, sediment-rich contributions from episodic river flooding are poorly understood. In 2016, record flooding of the sediment-rich Bad River (Mashkiiziibii) caused total inundation of the Bad River and Kakagon Sloughs feeding Lake Superior and Chequamegon Bay. Water level and river flow data, longitudinal profiles, inundation maps, landform maps, and geomorphic change maps were used to determine river-related inundation and sedimentation patterns in the estuary. Details about the individual datasets and the methods used to produce them are contained within metadata files packaged with each dataset.
DOI: 10.5066/p142rpve
title: Citations in Environmental Assessments Prepared by the Bureau of Land Management in Colorado from 2015-2019

description: These data support a study with the purpose of better understanding science and data use in Federal public lands decisions in the United States. To do this, we assessed the number, type, and age of documents cited in 70 Environmental Assessments (EAs) completed by the Bureau of Land Management (BLM) in Colorado from 2015-2019. We focused on the BLM, as they manage the largest area of public lands in the United States. We selected Colorado as our study area, as actions proposed on BLM lands in Colorado are representative of those across the nation. These data resulted in a peer-reviewed publication.
DOI: 10.5066/p13ypato
title: Summarized model outputs for a predator-prey-competitor model for Macrhybopsis and Scaphirhynchus in the Lower Missouri River

description: Data represents summarized model outputs for various simulation scenarios performed used the Fish community bioenergetics model published at: https://doi.org/10.5066/P1XAZ6K9. A number of scenarios were explored to address specific queries regarding sturgeon-chub-invertebrate dynamics in the lower Missouri River. Data include a simulated pallid sturgeon maximum weight over time under various modeling scenarios, population growth rates for each species under each scenario.
DOI: 10.5066/p1yfysud
title: Otolith microchemistry for quantifying contributions of tributaries to predators and prey fish in the Upper Mississippi River

description: Laser ablation inductively coupled mass spectrometry was used to quantify Strontium:Calcium of the core of each otolith and classified each fish to a natal origin (i.e., tributary or potential resident). Predator fishes of focus were Bowfin and Largemouth Bass from the Upper Mississippi River (Pools 4, 8, and 13).

Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
DOI: 10.5281/zenodo.15178391
title: Data for: Efficacy of Marine Electrical Resistivity Surveys to Determine Maximum Scour Depth and Scour Infill

description: Electrical resistivity is a common near surface geophysical tool often used for site investigations; however, its use in civil infrastructure has yet to be fully realized. Collected field measuremnets must be proscessed through an inversion software and the positions of the electrodes must also be known to achieve a proper result. Provided in this dataset are the collected measurements for a site in San Marcos, TX where marine electrical resistivity tomography surveys were used to determine the depth and volume of an infilled scour hole for a bridge crossing the San Marcos River.
DOI: 10.5281/zenodo.15178392
title: Data for: Efficacy of Marine Electrical Resistivity Surveys to Determine Maximum Scour Depth and Scour Infill

description: Electrical resistivity is a common near surface geophysical tool often used for site investigations; however, its use in civil infrastructure has yet to be fully realized. Collected field measuremnets must be proscessed through an inversion software and the positions of the electrodes must also be known to achieve a proper result. Provided in this dataset are the collected measurements for a site in San Marcos, TX where marine electrical resistivity tomography surveys were used to determine the depth and volume of an infilled scour hole for a bridge crossing the San Marcos River.