cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5525/gla.researchdata.1940
title: 1,2,5,6-Tetrathiocin as a scaffold for improved charge transport in double-cable oligothiophene systems

description: The dataset contains experimental data for the article entitled “1,2,5,6-Tetrathiocin as a scaffold for improved charge transport in double-cable oligothiophene systems”. This includes characterisation (NMR, mass spectrometry, elemental analysis) of molecules synthesised, UV/vis abosprtion, cyclic voltammetry, differential scanning calorimetry, thermal gravimetric analysis and bottom-gate, bottom-contact organic field-effect transistor measurements.
DOI: 10.17632/c3bwhfh9cv
title: Supporting Information

description: Supporting Information of “Deciphering the lipid profile: A quantitative lipidomic investigation into extracellular vesicles derived from human, ewe, and goat colostrum”.
DOI: 10.17632/c3bwhfh9cv.1
title: Supporting Information

description: Supporting Information of “Deciphering the lipid profile: A quantitative lipidomic investigation into extracellular vesicles derived from human, ewe, and goat colostrum”.
DOI: 10.34740/kaggle/dsv/12068429
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/w76wn4sxsp
title: Statistical Data on Foreign Nationals in the Turkish Justice System (2009-2024)

description: The data presented herein were collated within the scope of the research conducted by the author on foreigners' access to Turkish justice services.
The statistics encompassing the years 2009-2024 encompass foreign suspects, defendants, victims and complainants in Turkish criminal investigations and criminal proceedings, as well as foreign detainees and convicts in prisons.
DOI: 10.17632/w76wn4sxsp.1
title: Statistical Data on Foreign Nationals in the Turkish Justice System (2009-2024)

description: The data presented herein were collated within the scope of the research conducted by the author on foreigners' access to Turkish justice services.
The statistics encompassing the years 2009-2024 encompass foreign suspects, defendants, victims and complainants in Turkish criminal investigations and criminal proceedings, as well as foreign detainees and convicts in prisons.
DOI: 10.15468/dl.9snhmg
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiroptera",
 "Geometry POLYGON ((-94.85175583\t16.46926027, -94.85175583\t16.69908919, -94.57596113\t16.69908919, -94.57596113\t16.46926027, -94.85175583\t16.46926027))",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 151 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021532-250525065834625/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.29243585
title: Methodological quality appraisal Using MMAT (2018)

description: This matrix presents the results of the quality appraisal conducted using the Mixed Methods Appraisal Tool (MMAT, 2018) for a SLR. Each study was assessed according to its methodological category: qualitative, quantitative (randomised, non-randomised, or descriptive), or mixed methods.
DOI: 10.6084/m9.figshare.29243585.v1
title: Methodological quality appraisal Using MMAT (2018)

description: This matrix presents the results of the quality appraisal conducted using the Mixed Methods Appraisal Tool (MMAT, 2018) for a SLR. Each study was assessed according to its methodological category: qualitative, quantitative (randomised, non-randomised, or descriptive), or mixed methods.
DOI: 10.5281/zenodo.10965495
title: Effects of microplastics on soil water retention characteristics

description: Data was collected in a water retention curve determination done for the laboratory-packed cylinders using sieved and homogenized soils collected from PAPILLONS field experiment sites and LUFA soil. Data includes characteristics of the four studied soils, volumetric water contents of control soils and soils amended with conventional or biodegradable microplastics (three concentrations and four replicates) with in suction pressures of 0.1, 0.3, 6.3, 10, 20, 32, 100, 320, 1600 and 39,000 kPa.
DOI: 10.5281/zenodo.10965496
title: Effects of microplastics on soil water retention characteristics

description: Data was collected in a water retention curve determination done for the laboratory-packed cylinders using sieved and homogenized soils collected from PAPILLONS field experiment sites and LUFA soil. Data includes characteristics of the four studied soils, volumetric water contents of control soils and soils amended with conventional or biodegradable microplastics (three concentrations and four replicates) with in suction pressures of 0.1, 0.3, 6.3, 10, 20, 32, 100, 320, 1600 and 39,000 kPa.
DOI: 10.15468/dl.yk2mz8
title: Occurrence Download

description: A dataset containing 13004 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Varronia curassavica Jacq."
 ]
}

 The dataset includes 13004 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022370-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yuy2rg
title: Occurrence Download

description: A dataset containing 1224177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lauraceae)"
 ]
}

 The dataset includes 1224177 records from 2690 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021439-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9agtqd
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/0018326-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kynvpe
title: Occurrence Download

description: A dataset containing 153 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 (Calidris subruficollis (Vieillot, 1819))",
 "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 153 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018328-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48472/datapb/91g9i9
title: Biodiversidade de mariposas da Paraíba, Brasil.

description: Este dataset foi criado a partir das informações dos exemplares de mariposas (Lepidoptera) depositados na Coleção Entomológica da Universidade Federal da Paraíba (DSEC), João Pessoa, Paraíba, Brasil. A coleção de mariposas da DSEC teve início com o Professor Vitor Py Daniel em 1976. Para o repositório DATAPB foi realizada uma seleção de registros apenas para o estado da Paraíba, que atualmente reúne 1.100 espécimes com determinação taxonômica referente a 130 espécies, embora a Coleção mariposas reúna cerca de 4 mil exemplares, com representantes principalmente do nordeste do Brasil. Estes dados fornecem informações sobre a ocorrência e distribuição geográfica de diferentes espécies para o Estado.
DOI: 10.5281/zenodo.15188518
title: Soil 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: 466-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.15575438
title: Soil 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: 466-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: 10.15468/dl.9sp9qf
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/0018330-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15575568
title: Soil 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: 466-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.15575569
title: Soil 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: 466-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.nvb6nv
title: Occurrence Download

description: A dataset containing 1295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.17132 43.88853,-79.16917 43.88325,-79.15257 43.88715,-79.1556 43.89205,-79.17132 43.88853))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1295 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018333-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15548736
title: Digitalización y vectorizado del mapa de formaciones vegetales de Asturias de 1862: el Bosquejo Dasográfico

description: Este conjunto de datos se ha elaborado a partir de la información sobre la cobertura de formaciones vegetales registrada en el Bosquejo Dasográfico de la Provincia de Oviedo (1862), un conocido documento cartográfico del siglo XIX. Junto al Bosquejo Dasográfico de la provincia de Santander, del mismo autor, están considerados los primeros mapas forestales producidos en España. La provincia de Oviedo en el momento de elaboración del mapa corresponde a la actual comunidad autónoma de Asturias.

El archivo bosquejo_web.gpkg es un GeoPackage (EPSG 3857) con dos capas. Por un lado, la capa principal contiene los polígonos de formaciones vegetales identificados en el Bosquejo. Por otro lado, la capa alturas_barometricas incorpora los 137 puntos de medición de altitudes barométricas incluidos en el Bosquejo.
DOI: 10.5281/zenodo.15548737
title: Digitalización y vectorizado del mapa de formaciones vegetales de Asturias de 1862: el Bosquejo Dasográfico

description: Este conjunto de datos se ha elaborado a partir de la información sobre la cobertura de formaciones vegetales registrada en el Bosquejo Dasográfico de la Provincia de Oviedo (1862), un conocido documento cartográfico del siglo XIX. Junto al Bosquejo Dasográfico de la provincia de Santander, del mismo autor, están considerados los primeros mapas forestales producidos en España. La provincia de Oviedo en el momento de elaboración del mapa corresponde a la actual comunidad autónoma de Asturias.

El archivo bosquejo_web.gpkg es un GeoPackage (EPSG 3857) con dos capas. Por un lado, la capa principal contiene los polígonos de formaciones vegetales identificados en el Bosquejo. Por otro lado, la capa alturas_barometricas incorpora los 137 puntos de medición de altitudes barométricas incluidos en el Bosquejo.
DOI: 10.5281/zenodo.15368224
title: Modeling functional connectivity with learning and memory in a mouse model of Alzheimer's disease

description: The included material is raw data and processing and analysis code for the following publication:

Fadel L, Hipskind E, Pedersen SE, Romero J,Ortiz C, Shin E, Samee MAH and Pautler RG(2025) Modeling functional connectivity withlearning and memory in a mouse model ofAlzheimer’s disease.Front. Neuroimaging 4:1558759.doi: 10.3389/fnimg.2025.1558759
DOI: 10.5281/zenodo.15368225
title: Modeling functional connectivity with learning and memory in a mouse model of Alzheimer's disease

description: The included material is raw data and processing and analysis code for the following publication:

Fadel L, Hipskind E, Pedersen SE, Romero J,Ortiz C, Shin E, Samee MAH and Pautler RG(2025) Modeling functional connectivity withlearning and memory in a mouse model ofAlzheimer’s disease.Front. Neuroimaging 4:1558759.doi: 10.3389/fnimg.2025.1558759
DOI: 10.15468/dl.2kppsn
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/0018332-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chr7ye
title: Occurrence Download

description: A dataset containing 67243 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 (Calidris subruficollis (Vieillot, 1819))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 67243 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018322-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcw3h2
title: Occurrence Download

description: A dataset containing 1877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ethmalosa fimbriata (Bowdich, 1825))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1877 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018336-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25422/azu.data.29134577
title: Data for "Order of amino acid recruitment into the genetic code resolved by last universal common ancestor’s protein domains"

description: This compressed folder contains the .state files for prokaryotic Pfams in Wehbi et al. (2024) generated from IQ-TREE ancestral sequence reconstruction (-asr). For more details see Materials and Methods 'Ancestral Amino Acid Usages' in Wehbi et al. (2024)<br><br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.29134577.v1
title: Data for "Order of amino acid recruitment into the genetic code resolved by last universal common ancestor’s protein domains"

description: This compressed folder contains the .state files for prokaryotic Pfams in Wehbi et al. (2024) generated from IQ-TREE ancestral sequence reconstruction (-asr). For more details see Materials and Methods 'Ancestral Amino Acid Usages' in Wehbi et al. (2024)<br><br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.15468/dl.ja8a88
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/0018335-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5y77gj
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psammisia aurantiaca Luteyn"
 ]
}

 The dataset includes 30 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022076-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.