cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15579973
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.
DOI: 10.15468/dl.tggd63
title: Occurrence Download

description: A dataset containing 229 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",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Machine Observation, Unknown evidence)"
 ]
 }
 }
 ]
}

 The dataset includes 229 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018399-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4qw3b
title: Occurrence Download

description: A dataset containing 1 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 (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018402-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwwh3k
title: Occurrence Download

description: A dataset containing 2 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 (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 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018401-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upy5va
title: Occurrence Download

description: A dataset containing 2294 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 (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 2294 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018403-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15261156
title: Detection type soil

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: 255-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.15261157
title: Obstacle detection synthetic dataset
DOI: 10.5281/zenodo.15575608
title: Detection type soil

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: 255-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.15575731
title: Detection type soil 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: 255-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.15575732
title: Detection type soil 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: 255-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.d5racn
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/0018400-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e231861
title: SaferProducts.gov

description: The CPSC is an independent federal regulatory agency formed in 1972, and charged with protecting the public from unreasonable risks of injury from thousands of types of consumer products under the agency's jurisdiction.<br>What is SaferProducts.gov, and why does it exist?SaferProducts.gov is the CPSC-owned website where the public can file and read safety-related complaints about consumer products within the agency’s jurisdiction.<br><br>In August 2008, Congress passed the Consumer Product Safety Improvement Act of 2008 (CPSIA), which required the CPSC to create a searchable public database of reports of harm (Reports) related to the use of consumer products and other products or substances within CPSC’s jurisdiction. Congress required that the Database be publicly available, searchable, and accessible through the CPSC’s website. In August 2011, Congress amended the CPSIA to add requirements for seeking additional information about product reports submitted to the Database and the timing for posting such reports.SaferProducts.gov was created to:Collect reports of harm or potential harm from consumers about unsafe consumer products.Publish reports of harm or potential harm in a searchable, public database.Provide businesses with the ability and means to respond to reports about potentially dangerous consumer products.This collection contains the public database export from SaferProducts.gov (available at the bottom of the page). It was downloaded on June 3, 2025. The DB export contains a disclaimer (txt), and a CSV of incident reports and separate CSV of recalls.<br>
description: Downloaded June 3, 2025
DOI: 10.3886/e231861v1
title: SaferProducts.gov

description: The CPSC is an independent federal regulatory agency formed in 1972, and charged with protecting the public from unreasonable risks of injury from thousands of types of consumer products under the agency's jurisdiction.<br>What is SaferProducts.gov, and why does it exist?SaferProducts.gov is the CPSC-owned website where the public can file and read safety-related complaints about consumer products within the agency’s jurisdiction.<br><br>In August 2008, Congress passed the Consumer Product Safety Improvement Act of 2008 (CPSIA), which required the CPSC to create a searchable public database of reports of harm (Reports) related to the use of consumer products and other products or substances within CPSC’s jurisdiction. Congress required that the Database be publicly available, searchable, and accessible through the CPSC’s website. In August 2011, Congress amended the CPSIA to add requirements for seeking additional information about product reports submitted to the Database and the timing for posting such reports.SaferProducts.gov was created to:Collect reports of harm or potential harm from consumers about unsafe consumer products.Publish reports of harm or potential harm in a searchable, public database.Provide businesses with the ability and means to respond to reports about potentially dangerous consumer products.This collection contains the public database export from SaferProducts.gov (available at the bottom of the page). It was downloaded on June 3, 2025. The DB export contains a disclaimer (txt), and a CSV of incident reports and separate CSV of recalls.<br>
description: Downloaded June 3, 2025
DOI: 10.15468/dl.5e4qcj
title: Occurrence Download

description: A dataset containing 138 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 (Eudromias morinellus (Linnaeus, 1758))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 138 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018406-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jhg87
title: Occurrence Download

description: A dataset containing 622 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 (Eudromias morinellus (Linnaeus, 1758))",
 "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 622 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018407-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fam4vd
title: Occurrence Download

description: A dataset containing 3071 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Opuntia galapageia Hensl."
 ]
}

 The dataset includes 3071 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018405-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15587318
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603s Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603s Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15587319
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603s Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603s Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.jbs8vf
title: Occurrence Download

description: A dataset containing 4 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 (Eudromias morinellus (Linnaeus, 1758))",
 "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 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018408-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5vnxk
title: Occurrence Download

description: A dataset containing 3244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Azadirachta indica A.Juss."
 ]
}

 The dataset includes 3244 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018409-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sgnu8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Digitaria fuscescens (J.Presl) Henrard",
 "TaxonKey is Oeceoclades maculata (Lindl.) Lindl.",
 "TaxonKey is Crotalaria verrucosa L."
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to 1.8439039337272278",
 "DecimalLatitude is less than or equal to 5.99489983011293",
 "DecimalLongitude is greater than or equal to -58.04801928918583",
 "DecimalLongitude is less than or equal to -53.983254660761816",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018412-250525065834625/datasets/export for details.
DOI: 10.15468/dl.hduw62
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 (Eudromias morinellus (Linnaeus, 1758))",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018413-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bg9mgz
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poliocitellus franklinii (Sabine, 1822)",
 "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 373 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018411-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.