cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qgv9mz
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zanclorhynchus spinifer",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007945-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18354499
title: Resistive crossbars for Analog Matrix multiplication (Reference Data)
DOI: 10.5281/zenodo.18354500
title: Resistive crossbars for Analog Matrix multiplication (Reference Data)
DOI: 10.15468/dl.djxkkd
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1905",
 "Year is less than or equal to 1909"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007948-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dndmz
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Corydalis racemosa"
 ]
}

 The dataset includes 865 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007947-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqbmun
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Contia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007949-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.17574861
title: Colorectal Liver Metastasis-CT Surgical resection data (manually refined)

description: Accurate segmentation of the future liver remnant (FLR) is critical for surgical planning in colorectal liver metastases (CRLM) to prevent fatal post-hepatectomy liver failure. However, this segmentation task is technically challenging due to complex resection boundaries, convoluted hepatic vasculature and diffuse metastatic lesions. A primary bottleneck in developing automated AI tools has been the lack of high-fidelity, validated data. We address this gap by manually refining all 197 volumes from the public CRLM-CT-Seg dataset, creating the first open-source, validated benchmark for this task.

 If you plan on using these manually validated labels, please also cite the original paper where the data came from: https://doi.org/10.7937/QXK2-QG03




Label Information (NOTE: different from original):

Label 1: Surgically Resected Liver Volume

Label 2: Liver Remnant Volume

Label 3: Hepatic Veins (not manually refined)

Label 4: Hepatic Arteries (not manually refined)

Label 5: Colorectal Cancer Liver Metastases
DOI: 10.5281/zenodo.17574862
title: Colorectal Liver Metastasis-CT Surgical resection data (manually refined)

description: Accurate segmentation of the future liver remnant (FLR) is critical for surgical planning in colorectal liver metastases (CRLM) to prevent fatal post-hepatectomy liver failure. However, this segmentation task is technically challenging due to complex resection boundaries, convoluted hepatic vasculature and diffuse metastatic lesions. A primary bottleneck in developing automated AI tools has been the lack of high-fidelity, validated data. We address this gap by manually refining all 197 volumes from the public CRLM-CT-Seg dataset, creating the first open-source, validated benchmark for this task.

 If you plan on using these manually validated labels, please also cite the original paper where the data came from: https://doi.org/10.7937/QXK2-QG03




Label Information (NOTE: different from original):

Label 1: Surgically Resected Liver Volume

Label 2: Liver Remnant Volume

Label 3: Hepatic Veins (not manually refined)

Label 4: Hepatic Arteries (not manually refined)

Label 5: Colorectal Cancer Liver Metastases
DOI: 10.6084/m9.figshare.31130641.v3
title: AI-Ready Drug Response Dataset

description: This is a drug response dataset suitable for AI-model training. See CSA-and-PharmacoGx-Integration/README.md at main · vincevelle/CSA-and-PharmacoGx-Integration and IMPROVE for more details.Contains ~54,000 compounds, ~6 million drug response experiments, and ~2000 gene expressions samples.<br><b>References</b>[1] Smirnov, Petr, et al. ”PharmacoDB: an integrative database for mining in vitro anticancer drug screen ing studies.” Nucleic Acids Research (2017). [2] Smirnov, Petr, et al. ”PharmacoGx: an R package for analysis of large pharmacogenomic datasets.” Bioinformatics 32.8 (2015): 1244-1246. [3] Alexander Partin and Priyanka Vasanthakumari et al., Benchmarking community drug response pre diction models: datasets, models, tools, and metrics for cross-dataset generalization analysis, Briefings in Bioinformatics, Volume 27, Issue 1, January 2026, bbaf667, https://doi.org/10.1093/bib/bbaf667 [4] Partin A, Brettin TS, Zhu Y, Narykov O, Clyde A, Overbeek J, et al. Deep learning methods for drug response prediction in cancer: predominant and emerging trends. Frontiers in medicine. 2023;10:1086097.
DOI: 10.15468/dl.kxv9hj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.446 7.10412, 117.375198 7.098548, 117.306144 7.081971, 117.240543 7.054798, 117.180014 7.0177, 117.126049 6.971593, 117.079978 6.917613, 117.042934 6.857093, 117.015828 6.791525, 116.999322 6.722525, 116.993819 6.651793, 116.999449 6.581071, 117.016071 6.5121, 117.043269 6.446577, 117.080371 6.386113, 117.126463 6.332197, 117.180407 6.286151, 117.240878 6.24911, 117.306387 6.221982, 117.375326 6.205434, 117.446 6.199872, 117.516674 6.205434, 117.585613 6.221982, 117.651122 6.24911, 117.711593 6.286151, 117.765537 6.332197, 117.811629 6.386113, 117.848731 6.446577, 117.875929 6.5121, 117.892551 6.581071, 117.898181 6.651793, 117.892678 6.722525, 117.876172 6.791525, 117.849066 6.857093, 117.812022 6.917613, 117.765951 6.971593, 117.711986 7.0177, 117.651457 7.054798, 117.585856 7.081971, 117.516802 7.098548, 117.446 7.10412))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007950-260120142942310/datasets/export for details.
DOI: 10.7910/dvn/e1sbtb
title: Geo-located attendance data for The Convention on International Trade in Endangered Species of Wild Fauna and Flora

description: The Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) was adopted in 1975 in an effort to manage the international biodiversity trade. Meetings regulating the implementation of CITES have since been held every 2-3 years with the involvement of diverse stakeholders representing country Party-signatories, non-Party states, international organizations, private sector interests, and NGOs. These meetings and their outcomes are of interest to environmental science scholars, social scientists, journalists, and advocacy organizations. Yet, no usable data on meeting attendees and their details exists. This limits researchers' and advocates' abilities to study or track CITES meeting attendance patterns, and their associated causes and effects. Applying NLP techniques to PDF attendance rosters, we build the first CITES attendee-level dataset, covering 20,297 attendee records for all meetings to date. The dataset contains rich information on attendee geo-locations, names, affiliations and genders, and variables associated with attendee delegations, among others. Summaries and validations underscore the promise of our data and suggest new avenues for research on international wildlife conservation.
DOI: 10.5281/zenodo.14750203
title: A Systematic Review on Security Mechanisms for Serverless Computing

description: This dataset was collected as part of developing and writing a systematic review on security mechanisms for Serverless Computing related to the article "A Systematic Review on Security Mechanisms for Serverless Computing." The considered articles were searched on the ninth of December 2024 and were limited to works published from 2018 forward, inclusively.  The dataset comprises 3 CSV files, one with the final included articles and the other two with the excluded articles in each phase of the Screening process. The first line of each file has the titles of each column. For more details regarding the dataset contents, please refer to the README.md.
DOI: 10.5281/zenodo.14750202
title: A Systematic Review on Security Mechanisms for Serverless Computing

description: This dataset was collected as part of developing and writing a systematic review on security mechanisms for Serverless Computing related to the article "A Systematic Review on Security Mechanisms for Serverless Computing." The considered articles were searched on the ninth of December 2024 and were limited to works published from 2018 forward, inclusively.  The dataset comprises 3 CSV files, one with the final included articles and the other two with the excluded articles in each phase of the Screening process. The first line of each file has the titles of each column. For more details regarding the dataset contents, please refer to the README.md.
DOI: 10.15468/dl.f8g7yh
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agonopsis chiloensis",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 25 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007951-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3qxba
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1910",
 "Year is less than or equal to 1914"
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007952-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gzu75
title: Occurrence Download

description: A dataset containing 8248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Crocodylia"
 ]
}

 The dataset includes 8248 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007953-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chys35
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Desert Locust (Schistocerca gregaria) Invasion Risk and Vegetation Damage in a Key Upsurge Area"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007940-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjqs2x
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cortiella hookeri",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 39 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007954-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18354639
title: Dataset for "Contribution of Onshore Power Supply (OPS) and Batteries in Reducing Emissions from Ro-Ro Ships in Ports"

description: Dataset for "Contribution of Onshore Power Supply (OPS) and Batteries in Reducing Emissions from Ro-Ro Ships in Ports"
DOI: 10.5281/zenodo.18354640
title: Dataset for "Contribution of Onshore Power Supply (OPS) and Batteries in Reducing Emissions from Ro-Ro Ships in Ports"

description: Dataset for "Contribution of Onshore Power Supply (OPS) and Batteries in Reducing Emissions from Ro-Ro Ships in Ports"
DOI: 10.15468/dl.aau25d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.96 7.126119, 116.889195 7.120548, 116.820137 7.103971, 116.754533 7.076798, 116.694002 7.0397, 116.640034 6.993592, 116.593961 6.939612, 116.556916 6.879093, 116.529808 6.813525, 116.513301 6.744525, 116.507798 6.673793, 116.51343 6.603071, 116.530052 6.5341, 116.557251 6.468577, 116.594356 6.408113, 116.640449 6.354196, 116.694396 6.308152, 116.754869 6.27111, 116.820381 6.243982, 116.889323 6.227434, 116.96 6.221873, 117.030677 6.227434, 117.099619 6.243982, 117.165131 6.27111, 117.225604 6.308152, 117.279551 6.354196, 117.325644 6.408113, 117.362749 6.468577, 117.389948 6.5341, 117.40657 6.603071, 117.412202 6.673793, 117.406699 6.744525, 117.390192 6.813525, 117.363084 6.879093, 117.326039 6.939612, 117.279966 6.993592, 117.225998 7.0397, 117.165467 7.076798, 117.099863 7.103971, 117.030805 7.120548, 116.96 7.126119))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007955-260120142942310/datasets/export for details.
DOI: 10.15468/dl.3nkva6
title: Occurrence Download

description: A dataset containing 655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is Acanthinodera cumingii",
 "Year 2006-2026"
 ]
}

 The dataset includes 655 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007956-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt7hcv
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harpagifer bispinis",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 140 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007957-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5u5j2r
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1915",
 "Year is less than or equal to 1919"
 ]
}

 The dataset includes 41 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007959-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsgq9k
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotopaxia asplundii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007960-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/pw1zzp
title: Phylogenomic tree of Cercozoa based on single-cell transcriptomes from over 100 uncultured cells

description: Supplementary Data for "Phylogenomic tree of Cercozoa based on single-cell transcriptomes from 100 uncultured cells". This includes single-cell transcriptome data of 118 Cercozoa and Rhizaria cells, for the purposes of multigene-analyses (phylogenomics). The dataset includes transcriptome assemblies, predicted peptide sequences, image and video data, SSU rDNA alignment and tree data, multigene alignment and tree data.
description: Currently under review
description: Included PhyloFisher database
DOI: 10.15468/dl.gd7nff
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Champsocephalus gunnari",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 141 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007961-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s3ka2
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1920",
 "Year is less than or equal to 1924"
 ]
}

 The dataset includes 44 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007962-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5284nw
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coulterophytum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 43 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007963-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4vevb
title: Occurrence Download

description: A dataset listing the 42 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Geometry POLYGON((36.21782 35.91622,36.20457 35.85493,36.19892 35.79263,36.20286 35.74527,36.28705 35.58215,36.36072 35.51375,36.44683 35.45797,36.48306 35.47823,36.44755 35.51901,36.4015 35.58873,36.36598 35.62556,36.31413 35.69317,36.27446 35.77879,36.26611 35.88111,36.21782 35.91622))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2010-2025"
 ]
}

 The dataset's 42 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007946-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu6s3v
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icichthys australis",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007964-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adffym
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1925",
 "Year is less than or equal to 1929"
 ]
}

 The dataset includes 53 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007965-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25982/242870.6/3013398
title: Data Mining of Groundwater to Identify MAGs with Methane, Propane and Toluene Monooxygenases

description: Whole genome sequencing datasets, involving more than 600 groundwater samples, from nine countries, were analyzed to identify metagenome assembled genomes (MAGs) containing full operons for propane monooxygenase, soluble methane monooxygease, toluene monooxygenase and particulate ammonia/methane monooxygenase. The enzymes encoded by these genes are a focus of interest because of their ability to degrade common groundwater contaminants. Due to the large amount of data, sequence analyses involved more than 80 individual KBase narratives. The approach followed the KBase tutorial called "Metagenome-Assembled Genome Extraction from a Compost Microbiome Enrichment" The generated MAGs were exported from each individual narrative into separate summary KBase narratives for each monooxygenase. Three KBase narratives were generated for particulate ammonia/methane monooxygenase, due to the large number of MAGs identified.
DOI: 10.25545/pbbiyh/eabk6j
title: PatientNavigationImpact_Search_Goudreau_20260121.rtf

description: Search documentation