cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14555794
title: HISTOPANTUME: Histological Pan-cancer Tumor image dataset

description:  

HISTOPANTUM is a comprehensive pan-cancer dataset of histology images categorized into Tumor and Non-Tumor classes over 4 different cancer types (domains). This dataset is designed to facilitate domain generalization analysis for tumor detection tasks, serving as a benchmark for foundation models and domain generalization algorithms.

Dataset Overview

The dataset comprises histology images sourced from The Cancer Genome Atlas (TCGA), spanning the following four cancer types:



Colorectal Cancer

Ovarian Cancer

Stomach Cancer

Uterus Cancer


Image Specifications



Original Resolution: 512 × 512 pixels images are extracted from 0.5 micron-per-pixel resolution.

Processed Size: Images are resized to 224 × 224 pixels and saved as JPEG files.


The dataset is provided in four zipped files, each corresponding to one cancer type. Within each zip file, images are organized into two subfolders:



tumour

non-tumour


Each image filename encodes the originating slide and the patch position within the slide, following this naming convention:

<TCGA-slide-name>_<x-pos>_<y-pos>.jpg


Citation

If you use this dataset in your research, please cite the following publication:

@article{zamanitajeddin2024benchmarking,
  title={Benchmarking Domain Generalization Algorithms in Computational Pathology},
  author={Zamanitajeddin, Neda and Jahanifar, Mostafa and Xu, Kesi and Siraj, Fouzia and Rajpoot, Nasir},
  journal={arXiv preprint arXiv:2409.17063},
  year={2024}
}


For further details, please refer to the linked publication.
DOI: 10.3886/e100426
title: Indiana University Sexual Diversity Study

description: In 2015, we conducted a cross-sectional, Internet-based U.S. nationally representative probability survey of 2,021 adults (975 men, 1,046 women) focused on a broad range of sexual behaviors. Participants reported on demographic items, lifetime and recent sexual behaviors, and the appeal of 50+ sexual behaviors. Most (&gt;80%) reported lifetime masturbation, vaginal sex, and oral sex. Lifetime anal sex was reported by 43% of men (insertive) and 37% of women (receptive). Common lifetime sexual behaviors included wearing sexy lingerie/underwear (75% women, 26% men), sending/receiving digital nude/semi-nude photos (54% women, 65% men), reading erotic stories (57% of participants), public sex (≥43%), role-playing (≥22%), tying/being tied up (≥20%), spanking (≥30%), and watching sexually explicit videos/DVDs (60% women, 82% men). Threesomes (10% women, 18% men) and playful whipping (≥13%) were less common. Lifetime group sex, sex parties, taking a sexuality class/workshop, and going to BDSM parties were uncommon (&lt;8%). More Americans identified behaviors as “appealing” than had engaged in them. Romantic/affectionate behaviors were among those most commonly identified as appealing for both men and women. With the exception of anal sex, the appeal of particular behaviors was associated with greater odds that the individual had ever engaged in the behavior.
DOI: 10.3886/e100426v5-180682
title: Indiana University Sexual Diversity Study

description: In 2015, we conducted a cross-sectional, Internet-based U.S. nationally
representative probability survey of 2,021 adults (975 men, 1,046 women)
focused on a broad range of sexual behaviors. Participants reported on
demographic items, lifetime and recent sexual behaviors, and the appeal of 50+ sexual
behaviors. Most (&gt;80%) reported lifetime masturbation, vaginal sex, and oral
sex. Lifetime anal sex was reported by 43% of men (insertive) and 37% of women
(receptive). Common lifetime sexual behaviors included wearing sexy
lingerie/underwear (75% women, 26% men), sending/receiving digital nude/semi-nude
photos (54% women, 65% men), reading
erotic stories (57% of participants), public sex (≥43%), role-playing (≥22%), tying/being
tied up (≥20%), spanking (≥30%), and watching sexually explicit videos/DVDs (60%
women, 82% men). Threesomes (10% women, 18% men) and playful whipping (≥13%) were
less common. Lifetime group sex, sex parties, taking a sexuality class/workshop,
and going to BDSM parties were uncommon (&lt;8%). More Americans identified behaviors
as “appealing” than had engaged in them. Romantic/affectionate behaviors were
among those most commonly identified as appealing for both men and women. With
the exception of anal sex, the appeal of particular behaviors was associated
with greater odds that the individual had ever engaged in the behavior.
DOI: 10.15468/dl.t8tabx
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018385-250525065834625/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.29067950
title: Viral contigs identified from secondary chlorophyll maximum hybrid assembly

description: A hybrid assembly was made from both long and short read sequencing from a secondary chlorophyll maximum in the Eastern Tropical North Pacific. Viral sequences were identified by 3 different software algorithms: VirSorter2, VIBRANT, and geNomad. Any contig that was identified as viral by at least 2 of the 3 software choices was determined to be viral. Sequences here include only those that were at least 10 kb in length. <br>Included files are the list of contig names (2024_hybrid_2of3_10k_withvg_list.txt), the metadata table with various geNomad, VIBRANT, and checkV outputs (2024_hybrid_2of3_10k_withvg_meta.txt) and the nucleotide sequences of each of the viral contigs (2024_hybrid_2of3_10k_withvg.fna)
DOI: 10.6084/m9.figshare.29067950.v1
title: Viral contigs identified from secondary chlorophyll maximum hybrid assembly

description: A hybrid assembly was made from both long and short read sequencing from a secondary chlorophyll maximum in the Eastern Tropical North Pacific. Viral sequences were identified by 3 different software algorithms: VirSorter2, VIBRANT, and geNomad. Any contig that was identified as viral by at least 2 of the 3 software choices was determined to be viral. Sequences here include only those that were at least 10 kb in length. <br>Included files are the list of contig names (2024_hybrid_2of3_10k_withvg_list.txt), the metadata table with various geNomad, VIBRANT, and checkV outputs (2024_hybrid_2of3_10k_withvg_meta.txt) and the nucleotide sequences of each of the viral contigs (2024_hybrid_2of3_10k_withvg.fna)
DOI: 10.15468/dl.xgkm57
title: Occurrence Download

description: A dataset containing 2842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictidomys tridecemlineatus (Mitchill, 1821)",
 "StateProvince is one of (Alabama, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, Mississippi, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Carolina, Tennessee, Vermont, Virginia, West Virginia, Wisconsin)"
 ]
}

 The dataset includes 2842 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018387-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82534/44ds-k310
title: C-PROOF Underwater Glider Deployment Datasets
DOI: 10.15468/dl.esc488
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Arenaria melanocephala (Vigors, 1829))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018389-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15587233
title: GL2: Curvature-Modified Einstein Radii — Tejera-Ace Standard Model (TASM)

description: This dataset contains simulation outputs for GL2, the second validation run in the Tejera-Ace Standard Model (TASM) gravitational lensing series. It tests the effect of varying curvature gradients on Einstein radii, using the Curvature Factor (CF) framework. The results are statistically compared to General Relativity (GR) predictions using KS, Anderson-Darling, Chi², and G-tests.
DOI: 10.5281/zenodo.15188755
title: Ground type detection

description: 📦 Segmentation Dataset 

This repository contains a dataset labeled with Roboflow in YOLOv8 segmentation format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: YOLOv8 Segmentation-Number of classes: 10-Number of picture: 3040-Annotation source: Roboflow-Annotation type: Masks for segmentation tasks

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── data.yaml├── README.dataset.txt └── README.roboflow.txt
DOI: 10.5281/zenodo.15188756
title: Soil type detection

description: This dataset contains images and annotations in YOLOv8 format corresponding to the detection of different soil types.

It includes the training, validation, and test sets, as well as `data.yaml` and `README` files.
DOI: 10.5281/zenodo.15575222
title: Ground type detection

description: 📦 Segmentation Dataset 

This repository contains a dataset labeled with Roboflow in YOLOv8 segmentation format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: YOLOv8 Segmentation-Number of classes: 10-Number of picture: 3040-Annotation source: Roboflow-Annotation type: Masks for segmentation tasks

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── data.yaml├── README.dataset.txt └── README.roboflow.txt
DOI: 10.5281/zenodo.15575320
title: Ground type detection P

description: 📦 Segmentation Dataset PASCAL

This repository contains a dataset labeled with Roboflow in PASCAL VOC format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: XML PASCAL VOC-Number of classes: 10-Number of picture: 3040-Annotation source: Roboflow-Annotation type: Pascal VOC standard

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── README.dataset.txt └── README.roboflow.txt
DOI: 10.5281/zenodo.15575321
title: Ground type detection P

description: 📦 Segmentation Dataset PASCAL

This repository contains a dataset labeled with Roboflow in PASCAL VOC format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: XML PASCAL VOC-Number of classes: 10-Number of picture: 3040-Annotation source: Roboflow-Annotation type: Pascal VOC standard

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── README.dataset.txt └── README.roboflow.txt
DOI: 10.15468/dl.rzfs3k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phytophthora palmivora (E.J.Butler) E.J.Butler",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Machine Observation, Unknown evidence)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018391-250525065834625/datasets/export for details.
DOI: 10.15468/dl.y868yr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phytophthora palmivora (E.J.Butler) E.J.Butler",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Machine Observation, Unknown evidence)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018392-250525065834625/datasets/export for details.
DOI: 10.15468/dl.8hx6qc
title: Occurrence Download

description: A dataset containing 662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "GbifRegion is Asia",
 "OccurrenceStatus is Present",
 "PublishedByGbifRegion is Asia",
 "TaxonKey is Tetramorium tsushimae Emery, 1925",
 "Year 2000-2025"
 ]
}

 The dataset includes 662 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018393-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5xtya
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018390-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95ccsn
title: Occurrence Download

description: A dataset containing 8049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Numenius tahitiensis (J.F.Gmelin, 1789))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 8049 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018395-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hp73nz
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Numenius tahitiensis (J.F.Gmelin, 1789))",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018396-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuvzr7
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Numenius tahitiensis (J.F.Gmelin, 1789))",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018397-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5x2zw
title: Occurrence Download

description: A dataset containing 1227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.45258 8.40629,-59.54955 8.40629,-59.54955 28.7917,-97.45258 28.7917,-97.45258 8.40629))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Halimeda incrassata (J.Ellis) J.V.Lamour."
 ]
}

 The dataset includes 1227 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018398-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15579972
title: Cours et Travaux Dirigés de Analyse Multivoque et Théorie du Point Fixe Pour le Master de Mathématiques Appliquées et Épidémiologie (MAE)

description:     Ce module s'inscrit dans le cadre du Master en \textbf{Mathématiques Appliquées et Épidémiologie (MAE)} à la Faculté des Sciences et Techniques d'Errachidia. Il vise à approfondir les concepts fondamentaux de l'\textbf{analyse multivoque} et de la \textbf{théorie du point fixe}, deux outils essentiels pour la modélisation mathématique en économie, en biologie (notamment en épidémiologie), et en sciences de l'ingénieur.         Les multifonctions (ou applications multivoques) généralisent les fonctions classiques en permettant à une entrée d'être associée à un \emph{ensemble} de sorties. Cette approche est particulièrement utile pour décrire des systèmes à comportements non déterministes, tels que les inclusions différentielles ou les problèmes d'optimisation sous contraintes. Par ailleurs, les théorèmes de point fixe multivoque (e.g., Nadler, Kakutani) offrent des conditions d'existence de solutions pour des équations non linéaires, jouant un rôle clé en analyse convexe et en théorie des jeux.