cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48539/hbm577.mccb.463
title: Blood Vasculature Organ Crosswalk, v1.0

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture anatomical human body parts, the typology of cells, and biomarkers used to identify cell types. The tables are<br>authored and reviewed by an international team of experts. This table provides a crosswalk from vessels in the blood<br>vasculature ASCT+B table to anatomical structures in other organ ASCT+B tables. The Relationship column indicates<br>whether the vessel is “part_of”, “overlaps”, “supplies”, “drains”, “directly_supplies_drains”, “located_in”, or<br>“connected_to” the anatomical structure. A vessel can relate to more than one anatomical structure.
DOI: 10.7910/dvn/j104nq
title: Replication Data for: Fiscal Consolidation: Lessons for the U.S.

description: This entry contains the README and replication code for "Fiscal Consolidation: Lessons for the U.S.," forthcoming in the National Tax Journal
DOI: 10.48539/hbm995.kthd.545
title: OMAP-5 Organ Mapping Antibody Panel (OMAP)  for Multiplexed Antibody-Based Imaging of Human Liver with SIMS, v1.3

description: OMAP-5 was designed for Secondary Ionization Mass Spectrometry (SIMS) imaging of fresh frozen human liver samples<br>(https://doi.org/10.1101/2022.09.26.508878). The panel contains 20 antibodies and a cationic nucleic acid intercalator<br>that contains natural-abundance iridium. An antibody directed against Na/K ATPase was used for cell segmentation and<br>image alignment. This OMAP provides spatial context for the anatomical structures, metabolic zonation, and cell types<br>present in the [ASCT+B liver table v1.0](https://doi.org/10.48539/HBM476.BQCC.574). This OMAP does not yet contain<br>antibodies for NK cells, dendritic cells, portal fibroblasts, MAIT cells, gamma delta T cells, and hepatic oval cells.<br>Antigens were detected using lanthanide tagged primary antibodies where the metal tags were detected by specific mass<br>channels using C60 SIMS. Details on the antibody staining method can be found here<br>(dx.doi.org/10.17504/protocols.io.b5qmq5u6). Image registration and cell segmentation were performed using Deepcell<br>(Keren et al.) Cell segmentation was performed using nuclear and membrane marker channels. Integrated protein<br>expression was used to determine thresholds for cellular classification. An antibody directed against EGFR was<br>originally included in OMAP-5 v1.0 and v1.1, but was removed due to inconsistent labeling.
DOI: 10.48539/hbm543.nvtf.775
title: cell type annotations for Azimuth, v1.2

description: This crosswalk maps the cell type annotations from Azimuth (Hao et al. 2021) to Cell Ontology Version IRI:<br>http://purl.obolibrary.org/obo/cl/releases/2025-04-10/cl.owl. More information on Azimuth is available at<br>https://azimuth.hubmapconsortium.org/.<br><br>The Human Reference Atlas regularly adds new cell types to Cell Ontology; an overview and current numbers are<br>available under "Ontologies Extended" at https://apps.humanatlas.io/dashboard/data. <br><br>**Bibliography:**<br><br>* Hao, Yuhan, Stephanie Hao, Erica Andersen-Nissen, William M. Mauck, Shiwei Zheng, Andrew Butler, Maddie J. Lee, et al. 2021. “Integrated Analysis of Multimodal Single-Cell Data.” *Cell* 184 (13): 3573-3587.e29. https://doi.org/10.1016/j.cell.2021.04.048.
DOI: 10.5281/zenodo.17097857
title: Lifestyle and Dietary Habits Dataset for Type 2 Diabetes Risk Prediction

description: This dataset was collected through a structured survey to explore the relationship between lifestyle, dietary habits, and the risk of Type 2 Diabetes. The survey includes information on eating patterns, physical activity, stress levels, health conditions, and other lifestyle-related factors from both diabetic and non-diabetic individuals.

The dataset is anonymized and designed for use in research on diabetes risk prediction, machine learning model development, and public health analysis. It can be applied to train and evaluate AI systems for personalized healthcare, lifestyle risk assessment, and preventive interventions.
DOI: 10.5281/zenodo.17097856
title: Lifestyle and Dietary Habits Dataset for Type 2 Diabetes Risk Prediction

description: This dataset was collected through a structured survey to explore the relationship between lifestyle, dietary habits, and the risk of Type 2 Diabetes. The survey includes information on eating patterns, physical activity, stress levels, health conditions, and other lifestyle-related factors from both diabetic and non-diabetic individuals.

The dataset is anonymized and designed for use in research on diabetes risk prediction, machine learning model development, and public health analysis. It can be applied to train and evaluate AI systems for personalized healthcare, lifestyle risk assessment, and preventive interventions.
DOI: 10.48539/hbm582.wjwx.929
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Spleen, v1.1

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts.
DOI: 10.48539/hbm434.sdff.876
title: OMAP-13: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Pancreas with CODEX, v1.1

description: OMAP-13 was designed for imaging of 4% PFA-fixed, cryopreserved human pancreas samples by CO-Detection by indEXing<br>(CODEX) (https://doi.org/10.1038/s41596-021-00556-8). Containing 27 antibodies and nuclear marker DAPI, this OMAP<br>provides spatial context for 13 anatomical structures and 21 cell types in the ASCT+B Pancreas table v1.2<br>(https://doi.org/10.48539/HBM975.BBTF.393) and shares 8 markers with OMAP-6<br>(https://doi.org/10.48539/HBM868.XLTM.922). It also facilitates identification of gamma and epsilon cells, lymphatic<br>endothelial cells, pericytes, resident immune cells, neuronal structures, and some stromal cells and the extracellular<br>matrix (ECM). Due to the inclusion of biomarkers PPY, GHRL, PTPRC (CD45), CD19, ITGAX (CD11c), AIF1 (IBA1), and CD14,<br>this panel is suitable for all regions of the human pancreas (including the uncinate process, UBERON:0010373) from<br>birth to adulthood and can detect inflammatory cells present in diabetes. Panel design and validation was performed on<br>the PhenoCycler Open and Fusion systems (Akoya Biosciences). Carrier free aliquots for antibodies directed against<br>targets GHRL, PPY, and LYVE1 were ordered directly from R&D Biosciences to allow custom conjugation; antibody<br>metadata reflect the catalog versions. The GP2 antibody, which was purified and conjugated by Leinco Technologies,<br>Inc., is best used in conjunction with another acinar cell marker. Application of this CODEX panel to early-stage T2D<br>samples (Walker et al. 2021; https://doi.org/10.1101/2021.12.16.466282) included cellular segmentation by DAPI using<br>the Highplex FL module of HALO image analysis software (Indica Labs). Details on sample preparation and antibody<br>screening can be found at https://doi.org/10.17504/protocols.io.36wgq7dryvk5/v1 and a representative dataset is<br>uploaded at https://doi.org/10.5281/zenodo.7916784. Interactive image browsing is available on Pancreatlas<br>(RRID:SCR_01856).
DOI: 10.48539/hbm955.bgtp.947
title: 3D Reference Organ for Thymus, Male, v1.0

description: [This reference organ](https://humanatlas.io/3d-reference-library) was created using data from the Visible Human Male,<br>provided by the National Library of Medicine.
DOI: 10.48539/hbm449.xcgd.289
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Liver, v1.2

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts.
DOI: 10.48539/hbm866.ldbj.546
title: cell type annotations for popular Vote (popV), v1.2

description: This crosswalk maps the cell type annotations from popular Vote, or popV (Ergen et al. 2024), to the latest revision<br>of Cell Ontology Version IRI: http://purl.obolibrary.org/obo/cl/releases/2025-04-10/cl.owl. More information on popV<br>is available at https://github.com/YosefLab/popV. <br> <br>The Human Reference Atlas regularly adds new cell types to Cell Ontology; an overview and current numbers are<br>available under "Ontologies Extended" at https://apps.humanatlas.io/dashboard/data. <br><br>**Bibliography:**<br><br>* Ergen, Can, Galen Xing, Chenling Xu, Martin Kim, Michael Jayasuriya, Erin McGeever, Angela Oliveira Pisco, Aaron Streets, and Nir Yosef. 2024. “Consensus Prediction of Cell Type Labels in Single-Cell Data with popV.” *Nature Genetics*, November. https://doi.org/10.1038/s41588-024-01993-3.
DOI: 10.48539/hbm227.whpg.367
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Skin, v1.0

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts.
DOI: 10.48539/hbm635.wjhb.325
title: OMAP-12: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Retina with IBEX, v1.1

description: OMAP-12 was designed for IBEX imaging of fixed frozen human retina samples<br>(https://doi.org/10.1038/s41596-021-00644-9; https://doi.org/10.1073/pnas.2018488117). The panel contains 14<br>antibodies, 3 lectins, and DAPI for image alignment and nuclear segmentation. The OMAP provides a spatial context for<br>the main anatomical structures and key cell types present in the healthy human retina including photoreceptors,<br>bipolar cells, ganglion cells, astrocytes, microglia, Muller glia, and retinal vascular endothelium. Broad neuronal<br>classes are imaged, but not separated into fine subpopulations partly due to the lack of antibody reagents (e.g., all<br>amacrine, ganglion cell, and bipolar cell subtypes). Fluorescent lectins PNA, Isolectin B4, and Phalloidin were used<br>to visualize oligosaccharides for typing cell types such as cone photoreceptors, vascular endothelium, and outer<br>limiting membrane, respectively. These reagents are visualized in the accompanying dataset but not included in the<br>OMAP because they are not antibodies. Additional details on sample preparation and imaging can be found here: (doi:<br>10.1038/s41596-021-00644-9) Custom conjugations were performed for several antibodies according to the standard<br>manufacturer protocols. A representative dataset acquired using this OMAP has been uploaded here:<br>https://doi.org/10.5281/zenodo.7777285.
DOI: 10.48539/hbm876.hssq.977
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Heart, v1.1

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts.
DOI: 10.48539/hbm878.kbth.462
title: Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) table for Ovary, v1.2

description: [Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables](https://humanatlas.io/asctb-tables) aim to<br>capture the nested *part_of* structure of anatomical human body parts, the typology of cells, and biomarkers used to<br>identify cell types. The tables are authored and reviewed by an international team of experts.
DOI: 10.15468/dl.xga93z
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nimbapanchax petersi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053592-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.30104476
title: Employee health and physical wellness : a comparison of health- and skill-related measures

description: Chronic non-communicable diseases are a growing public health concern in South Africa which significantly impacts employee wellness and workplace productivity. To address chronic non-communicable disease in the workplace, a holistic, multi-dimensional approach to wellness with an emphasis on primary and primordial prevention strategies is required. Employee wellness programmes to support employees in the workplace still lack evidence-based interventions and guidelines. The role of physical fitness and health-related assessments in the context of overall employee wellness needs to be investigated. The objective of this study was to evaluate the physical fitness and health-related measures in various workplace settings in a South African context. This study developed a comprehensive physical wellness indicator that integrates both health-related fitness and skill-related fitness to provide a nuanced assessment of employee health. Employees from educational, corporate, and law enforcement institutions underwent health-risk assessments and quantitative fitness measures.<br><br>
DOI: 10.25403/upresearchdata.30104476.v1
title: Employee health and physical wellness : a comparison of health- and skill-related measures

description: Chronic non-communicable diseases are a growing public health concern in South Africa which significantly impacts employee wellness and workplace productivity. To address chronic non-communicable disease in the workplace, a holistic, multi-dimensional approach to wellness with an emphasis on primary and primordial prevention strategies is required. Employee wellness programmes to support employees in the workplace still lack evidence-based interventions and guidelines. The role of physical fitness and health-related assessments in the context of overall employee wellness needs to be investigated. The objective of this study was to evaluate the physical fitness and health-related measures in various workplace settings in a South African context. This study developed a comprehensive physical wellness indicator that integrates both health-related fitness and skill-related fitness to provide a nuanced assessment of employee health. Employees from educational, corporate, and law enforcement institutions underwent health-risk assessments and quantitative fitness measures.<br><br>
DOI: 10.48539/hbm455.pxdj.289
title: Anatomical Structures, Cell Types and Biomarkers (ASCT+B) Tables to 2D Functional Tissue Unit (FTU) Reference Object Library Crosswalk, v1.4

description: This lookup table maps [Anatomical Structures, Cell Types and Biomarkers (ASCT+B)<br>Table](https://humanatlas.io/asctb-tables) terms to anatomical structure and cell type terms used in the<br>[CCF-2D-reference-object-library](https://humanatlas.io/2d-ftu-illustrations).
DOI: 10.15468/dl.hk82wj
title: Occurrence Download

description: A dataset containing 18000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plateumaris"
 ]
}

 The dataset includes 18000 records from 356 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053596-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmmzxq
title: Occurrence Download

description: A dataset containing 12483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinortha chlorophaea (Raffles, 1822)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 12483 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025128-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buzkl7
title: Occurrence Download

description: A dataset containing 14570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 {
 "or" : [
 "TaxonKey is Anthemis glaberrima (Rech.fil.) Greuter",
 "TaxonKey is Pilosella pintodasilvae (de Retz) Mateo",
 "TaxonKey is Pilosella pseudovahlii (de Retz) Mateo",
 "TaxonKey is Pilosella albarracina (Zahn) Mateo",
 "TaxonKey is Pilosella peleteriana (Mérat) F.W.Schultz & Sch.Bip.",
 "TaxonKey is Santolina oblongifolia Boiss.",
 "TaxonKey is Santolina chamaecyparissus L.",
 "TaxonKey is Santolina semidentata Hoffmanns. & Link",
 "TaxonKey is Santolina rosmarinifolia L.",
 "TaxonKey is Centaurea niederi Heldr.",
 "TaxonKey is Centaurea nevadensis Boiss. & Reut.",
 "TaxonKey is Centaurea kalambakensis Freyn & Sint.",
 "TaxonKey is Centaurea ×loscosii Willk.",
 "TaxonKey is Centaurea clementei Boiss. ex DC.",
 "TaxonKey is Centaurea akamantis T.Georgiadis & Hadjik.",
 "TaxonKey is Centaurea pinnata Pau ex Vicioso",
 "TaxonKey is Centaurea immanuelis-loewii Degen",
 "TaxonKey is Centaurea mariana Nyman",
 "TaxonKey is Centaurea citricolor Font Quer",
 "TaxonKey is Centaurea fraylensis Sch.Bip. ex Nyman",
 "TaxonKey is Centaurea vicentina Mariz, 1892",
 "TaxonKey is Rhaponticoides fraylensis (Nyman) M.V.Agab. & Greuter",
 "TaxonKey is Centaurea jankae Brândzã",
 "TaxonKey is Centaurea heldreichii Halácsy",
 "TaxonKey is Centaurea linifolia L.",
 "TaxonKey is Centaurea rothmalerana (Arènes) Dostál",
 "TaxonKey is Centaurea peucedanifolia Boiss. & Orph.",
 "TaxonKey is Centaurea toletana Boiss. & Reut.",
 "TaxonKey is Centaurea avilae Pau",
 "TaxonKey is Centaurea exarata Boiss. ex Coss.",
 "TaxonKey is Centaurea kartschiana Scop.",
 "TaxonKey is Centaurea sagredoi Blanca",
 "TaxonKey is Centaurea haenseleri (Boiss.) Boiss.",
 "TaxonKey is Centaurea saxicola Lag.",
 "TaxonKey is Centaurea lactiflora Halácsy",
 "TaxonKey is Centaurea podospermifolia Loscos & Pardo",
 "TaxonKey is Centaurea spina-badia Bubani ex Timb.-Lagr.",
 "TaxonKey is Centaurea corymbosa Pourr.",
 "TaxonKey is Centaurea ×genesii-lopezii Fern.Casas & Susanna",
 "TaxonKey is Centaurea princeps Boiss. & Heldr."
 ]
 }
 ]
}

 The dataset includes 14570 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031999-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu78mn
title: Occurrence Download

description: A dataset containing 10114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Icterus parisorum Bonaparte, 1838"
 ]
}

 The dataset includes 10114 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188276-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cv6a2e
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apium commersonii DC."
 ]
}

 The dataset includes 77 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146039-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgn62e
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Theloderma baibungense (Jiang, Fei & Huang, 2009)"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025178-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpjhb3
title: Occurrence Download

description: A dataset containing 667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "TaxonKey is Lepus americanus Erxleben, 1777",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 667 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031999-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhv5pj
title: Occurrence Download

description: A dataset containing 19907928 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fabaceae"
 ]
}

 The dataset includes 19907928 records from 3235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154688-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shvqlf
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sternoptyx pseudobscura Baird, 1971",
 "Country is Colombia"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013117-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/jd6c8k
title: CardObs : Observations naturalistes issues de l'outil CardObs-Données liées à des déterminations effectuées par DUSOULIER François

description: Ce jeu de données rassemble des observations effectuées (photographies et spécimens) par des naturalistes en France métropolitaine et soumis à François DUSOULIER pour examen critique ou détermination taxinomique.
DOI: 10.15468/dl.s6cd8e
title: Occurrence Download

description: A dataset containing 1076233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gallinago delicata (Ord, 1825)"
 ]
}

 The dataset includes 1076233 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198514-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttuzbb
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Peltophryne fluviatica (Schwartz, 1972)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002000-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.