cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bm5ftx
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/0018717-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nz2kw
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picea chihuahuana Martínez"
 ]
}

 The dataset includes 272 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018721-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqy85e
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perdita salviae Timberlake, 1964"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018720-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88vv3k
title: Occurrence Download

description: A dataset containing 121246 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 (Calcarius lapponicus (Linnaeus, 1758))",
 "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 121246 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018698-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.642q8s
title: Occurrence Download

description: A dataset containing 15532726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil"
 ]
}

 The dataset includes 15532726 records from 1872 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018712-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g579yq
title: Occurrence Download

description: A dataset containing 7626 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 (Anser rossii Cassin, 1861)",
 "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 7626 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018534-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15587752
title: The solution to string theory

description: A dual theory solution to string theory
DOI: 10.5281/zenodo.15587753
title: The solution to string theory

description: A dual theory solution to string theory
DOI: 10.21227/8nth-k571
title: "Rx-H Comb Coverage Data for the Black Hole Explorer"

description: "Composite spectra measured with a spectrum analyzer equipped with a WR-3.4 harmonic mixer depicting the comb coverage for Rx-H. The power levels are only approximate because we do not have a calibration for the harmonic mixer. Also, we are only measuring the comb teeth falling in the 4-12 GHz IF for each LO tuning."
DOI: 10.15468/dl.bksr5q
title: Occurrence Download

description: A dataset containing 7526 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactarius indigo (Schwein.) Fr."
 ]
}

 The dataset includes 7526 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018535-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dg52sd
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/0018533-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14541460
title: Dataset of the Article Conceptual Modeling: A Large Language Model Assistant for Characterizing Research Contributions

description: Contains the JavaScript/Node source code along with the output of that program and spreadsheets and source files for the project.  This is in support of the paper Conceptual Modeling: A Large Language Model Assistant for Characterizing Research Contributions.
DOI: 10.5281/zenodo.14541459
title: Dataset of the Article Conceptual Modeling: A Large Language Model Assistant for Characterizing Research Contributions

description: Contains the JavaScript/Node source code along with the output of that program and spreadsheets and source files for the project.  This is in support of the paper Conceptual Modeling: A Large Language Model Assistant for Characterizing Research Contributions.
DOI: 10.5281/zenodo.15587761
title: Dataset of the Article Conceptual Modeling: A Large Language Model Assistant for Characterizing Research Contributions

description: Contains the JavaScript/Node source code along with the output of that program and spreadsheets and source files for the project.  This is in support of the paper Conceptual Modeling: A Large Language Model Assistant for Characterizing Research Contributions.
DOI: 10.15468/dl.nbdawu
title: Occurrence Download

description: A dataset containing 582 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 (Pluvialis fulva (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 582 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018538-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15576328
title: 5 shed

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: 203-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.15576329
title: 5 shed

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: 203-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.15576342
title: 5 shed 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: 203-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.15576343
title: 5 shed 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: 203-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.rd4g8z
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perdita quadrinotata Timberlake, 1968"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018541-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15587779
title: The Navier-Stokes equation solved

description: The Millennium Math problem on the Navier stokes equation has been SOLVED!!!
DOI: 10.5281/zenodo.15587780
title: The Navier-Stokes equation solved

description: The Millennium Math problem on the Navier stokes equation has been SOLVED!!!
DOI: 10.5281/zenodo.15528511
title: Instance segmentation of fish in Recirculated Aquaculture System

description: This dataset follows the COCO (Common Objects in Context) annotation standard. Each annotation includes polygonal segmentation masks representing individual fish instances with each mask manually assessed for quality.

The dataset consists of 88 images, collected from two different commercial Nordic RAS farms using cameras installed above the surface. The masks have been produced using Segment Anything Model (Kirillov et al., 2023). Two different prompting methods were used, automatic grid prompt and manually annotated bounding box center points. Both sets of masks have been manually assessed for quality.

More detailed structure of the annotation files (.json) and description of the data can be found in README.md.
DOI: 10.5281/zenodo.15528512
title: Instance segmentation of fish in Recirculated Aquaculture System

description: This dataset follows the COCO (Common Objects in Context) annotation standard. Each annotation includes polygonal segmentation masks representing individual fish instances with each mask manually assessed for quality.

The dataset consists of 88 images, collected from two different commercial Nordic RAS farms using cameras installed above the surface. The masks have been produced using Segment Anything Model (Kirillov et al., 2023). Two different prompting methods were used, automatic grid prompt and manually annotated bounding box center points. Both sets of masks have been manually assessed for quality.

More detailed structure of the annotation files (.json) and description of the data can be found in README.md.
DOI: 10.15468/dl.4jsg42
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/0018540-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mn67c
title: Occurrence Download

description: A dataset containing 421 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 (Pluvialis fulva (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 421 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018543-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qaenj
title: Occurrence Download

description: A dataset containing 1377 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ziziphus joazeiro Mart."
 ]
}

 The dataset includes 1377 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018544-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgdzbt
title: Occurrence Download

description: A dataset containing 2529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sarcomphalus joazeiro (Mart.) Hauenschild"
 ]
}

 The dataset includes 2529 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018545-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7xhv8
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/0018546-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48623/aperta.286166
title: Effects Of Adaptive Riding Exercise On Children With Cerebral Palsy

description: The objective of this study was to examine the effect of adaptive riding exercise on selected parameters in children with cerebral palsy. Twenty children, ranging in age from 8 to 12 years, participated in the study, and an experimental and a control groups were formed.

The intervention was administered by an adaptive riding instructor and comprised repeated 30-45-minute sessions, three times per week for a 12-week period. Specially selected and trained horses, together with volunteer university students, were employed.

The collection of data was executed through a series of assessments administered prior to and following the intervention. The pre-test and post-test assessments focused on parameters including leg-back strength, unilateral-bilateral flexibility, accuracy, linearity, maximum grip force, and the rate of grip force development. Subsequent analysis was conducted using an interactive mixed model ANOVA.

The experimental group demonstrated superior performance in hand-eye coordination, grip strength, flexibility, and muscle strength in comparison to the control group. The present study posits that adaptive riding exercise exerts a supportive effect on children diagnosed with CP grades GMFCS-2 and GMFCS-3. It is therefore recommended that children diagnosed with cerebral palsy be encouraged to participate in an adaptive riding programme.
description: ---
DOI: 10.6084/m9.figshare.29243187
title: Additional file 8 of The UNC5C T835M mutation associated with Alzheimer’s disease leads to neurodegeneration involving oxidative stress and hippocampal atrophy in aged mice

description: Additional file 8: S8: Excel file with results of TMT-MS Proteomic study on the hippocampal samples of 18-month-old Unc5c+/+ and Unc5cKI/KI mice.
DOI: 10.6084/m9.figshare.29243187.v1
title: Additional file 8 of The UNC5C T835M mutation associated with Alzheimer’s disease leads to neurodegeneration involving oxidative stress and hippocampal atrophy in aged mice

description: Additional file 8: S8: Excel file with results of TMT-MS Proteomic study on the hippocampal samples of 18-month-old Unc5c+/+ and Unc5cKI/KI mice.
DOI: 10.6084/m9.figshare.29243204.v1
title: Additional file 1 of Mosses as extraordinary reservoir of microbial diversity: a comparative analysing of co-occurring ‘plant-moss twins’ in natural alpine ecosystem

description: Supplementary Material 1: Supplementary Table 1 provides detailed sampling information including twin pair id, sampling coordinates, habitat type, host plant identity (vascular plant or moss), and taxonomic classification.
DOI: 10.6084/m9.figshare.29243214.v1
title: Additional file 1 of Matrix stiffness-induced IKBKE and MAPK8 signaling drives a phenotypic switch from DCIS to invasive breast cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29243214
title: Additional file 1 of Matrix stiffness-induced IKBKE and MAPK8 signaling drives a phenotypic switch from DCIS to invasive breast cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29243223.v1
title: Additional file 4 of Matrix stiffness-induced IKBKE and MAPK8 signaling drives a phenotypic switch from DCIS to invasive breast cancer

description: Supplementary Material 4