cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.843jbr
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viola beckiana Fiala ex Beck"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246074-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.olzao8
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013943-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yizwyk
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016848-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwpzbe
title: Occurrence Download

description: A dataset containing 6166496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arachnida"
 ]
}

 The dataset includes 6166496 records from 2695 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020794-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3084408/2551464
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084409/2551465
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084410/2551466
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084411/2551467
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084412/2551468
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.nfzbgk
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 (Pecari tajacu)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022330-250717081556266/datasets/export for details.
DOI: 10.15468/dl.8yxfq9
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 (Pecari tajacu)",
 "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/0022329-250717081556266/datasets/export for details.
DOI: 10.57780/esa-2fc486b
title: HIGHWAY_Swarm_CS_MAG

description: Magnetic measurements derived from Cryosat-2 platform magnetometers Product in cloud-native data format
DOI: 10.15468/dl.rvfugh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bugula neritina",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022331-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8heup9
title: Occurrence Download

description: A dataset containing 546714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Peribatodes rhomboidaria"
 ]
}

 The dataset includes 546714 records from 650 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022226-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkmk9u
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bugula neritina",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022332-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ej6xrc
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eichhornia crassipes",
 "Country is Uganda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022334-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15276747
title: A Comprehensive Dataset for lncRNA-Disease-Gene Associations with CGR and FCGR Representations

description: lncRNA–Disease–Gene Association Dataset with CGR/FCGR Representations

 DescriptionThis dataset provides a standardized and curated resource for analyzing the associations between long non-coding RNAs (lncRNAs), diseases, and genes. It integrates data from three widely-used biological databases:  - LncRNADisease- Comparative Toxicogenomics Database (CTD)- Ensembl

It is designed to support applications in bioinformatics, systems biology, and machine learning by combining raw biological sequences, structured association matrices, and visual sequence encodings.

---

Dataset Contents

- FASTA – 2,594 lncRNA sequences in FASTA format  - Associations/ –    - 6,662 lncRNA–disease associations    - 37,238 gene–disease associations    - 256 diseases, 351 genes  - Matrices/ – Binary and weighted association matrices for:    - lncRNA–disease    - gene–disease  - Images/ –    - CGR (Chaos Game Representation) images    - FCGR (Frequency CGR) images  - Scripts/ –    - scraping.py: Automated extraction from source databases    - preprocess.py: Cleaning, normalization, and formatting    - generate_images.py: Sequence-to-image transformation (CGR/FCGR)

---

Applications

This dataset can be used for:

- Predictive modeling of lncRNA-disease relationships  - Network-based disease association analysis  - Sequence-based and image-based machine learning models (e.g., CNNs, transformers)

---

## Reproducibility

All scripts and data files are open-access and reproducible. To regenerate the data:

python scraping.pypython preprocess.pypython generate_images.py

 Data Preparation Workflow

https://zenodo.org/api/records/15316601/draft/files/data_pipeline_flowchart.png/contentThis diagram shows the six-step data processing pipeline, including extraction, preprocessing, matrix generation, and image transformation.
DOI: 10.5281/zenodo.16266222
title: A Comprehensive Dataset for lncRNA-Disease-Gene Associations with CGR and FCGR Representations

description: lncRNA–Disease–Gene Association Dataset with CGR/FCGR Representations

 DescriptionThis dataset provides a standardized and curated resource for analyzing the associations between long non-coding RNAs (lncRNAs), diseases, and genes. It integrates data from three widely-used biological databases:  - LncRNADisease- Comparative Toxicogenomics Database (CTD)- Ensembl

It is designed to support applications in bioinformatics, systems biology, and machine learning by combining raw biological sequences, structured association matrices, and visual sequence encodings.

---

Dataset Contents

- FASTA – 2,594 lncRNA sequences in FASTA format  - Associations/ –    - 6,662 lncRNA–disease associations    - 37,238 gene–disease associations    - 256 diseases, 351 genes  - Matrices/ – Binary and weighted association matrices for:    - lncRNA–disease    - gene–disease  - Images/ –    - CGR (Chaos Game Representation) images    - FCGR (Frequency CGR) images  - Scripts/ –    - scraping.py: Automated extraction from source databases    - preprocess.py: Cleaning, normalization, and formatting    - generate_images.py: Sequence-to-image transformation (CGR/FCGR)

---

Applications

This dataset can be used for:

- Predictive modeling of lncRNA-disease relationships  - Network-based disease association analysis  - Sequence-based and image-based machine learning models (e.g., CNNs, transformers)

---

## Reproducibility

All scripts and data files are open-access and reproducible. To regenerate the data:

python scraping.pypython preprocess.pypython generate_images.py

 Data Preparation Workflow

https://zenodo.org/api/records/15316601/draft/files/data_pipeline_flowchart.png/contentThis diagram shows the six-step data processing pipeline, including extraction, preprocessing, matrix generation, and image transformation.
DOI: 10.57780/esa-4dc446b
title: HIGHWAY_Swarm_AEJ_LPL_2F

description: Auroral electrojets line profile - Line current method (LC) Products in cloud-native data format
DOI: 10.6084/m9.figshare.29610110
title: HeatExposure2004.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610110.v1
title: HeatExposure2004.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610116
title: HeatExposure2007.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610116.v1
title: HeatExposure2007.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610119.v1
title: HeatExposure2008.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610134
title: HeatExposure2017.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610119
title: HeatExposure2008.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610122
title: HeatExposure2010.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610122.v1
title: HeatExposure2010.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610134.v1
title: HeatExposure2017.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610143
title: HeatExposure2019.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610152
title: HeatExposure2011.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609750
title: UHIHeatExposure2003.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610152.v1
title: HeatExposure2011.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610155
title: HeatExposure2014.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610155.v1
title: HeatExposure2014.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609753
title: UHIHeatExposure2008.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609753.v1
title: UHIHeatExposure2008.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609756
title: UHIHeatExposure2005.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609756.v1
title: UHIHeatExposure2005.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609759
title: UHIHeatExposure2007.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29610143.v1
title: HeatExposure2019.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609750.v1
title: UHIHeatExposure2003.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609759.v1
title: UHIHeatExposure2007.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609768
title: UHIHeatExposure2004.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609762
title: UHIHeatExposure2006.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609765
title: UHIHeatExposure2017.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609765.v1
title: UHIHeatExposure2017.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609768.v1
title: UHIHeatExposure2004.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609771.v1
title: UHIHeatExposure2011.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609762.v1
title: UHIHeatExposure2006.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609771
title: UHIHeatExposure2011.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609774
title: UHIHeatExposure2020.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609777
title: UHIHeatExposure2009.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609777.v1
title: UHIHeatExposure2009.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609780.v1
title: UHIHeatExposure2013.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.24113496.v1
title: Data summary

description: Data summary
DOI: 10.6084/m9.figshare.29609774.v1
title: UHIHeatExposure2020.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609780
title: UHIHeatExposure2013.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609786.v1
title: UHIHeatExposure2018.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609789
title: UHIHeatExposure2014.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609792.v1
title: UHIHeatExposure2015.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.24113460
title: Consistently assessing the factors driving urban thermal environment in 1469 cities worldwide

description: This dataset contains all the data involved in the research process. The Raw data folder contains the global TCI data, night light data, EVI data and DEM data from the official website. The Data processing folder contains mainly process data. Finally, all the data is summarized and collated for the purpose of making charts
DOI: 10.6084/m9.figshare.24113460.v2
title: Consistently assessing the factors driving urban thermal environment in 1469 cities worldwide

description: This dataset contains all the data involved in the research process. The Raw data folder contains the global TCI data, night light data, EVI data and DEM data from the official website. The Data processing folder contains mainly process data. Finally, all the data is summarized and collated for the purpose of making charts
DOI: 10.6084/m9.figshare.24113496
title: Data summary

description: Data summary
DOI: 10.6084/m9.figshare.29609786
title: UHIHeatExposure2018.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609789.v1
title: UHIHeatExposure2014.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609792
title: UHIHeatExposure2015.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.24113460.v1
title: Consistently assessing the factors driving urban thermal environment in 1469 cities worldwide

description: Raw data
DOI: 10.6084/m9.figshare.29609801
title: UHIHeatExposure2016.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.6084/m9.figshare.29609801.v1
title: UHIHeatExposure2016.zip

description: A dataset and code evaluating the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020.
DOI: 10.15468/dl.rny8gp
title: Occurrence Download

description: A dataset containing 1472537273 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 1472537273 records from 33075 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022195-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gf2cp
title: Occurrence Download

description: A dataset containing 744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pulsatilla vernalis, Anemone vernalis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 744 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017613-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.