cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ter8b2
title: Occurrence Download

description: A dataset containing 3151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is one of (United States of America, Canada, Mexico)",
 "Year is greater than or equal to 1990",
 "TaxonKey is Elymus repens"
 ]
}

 The dataset includes 3151 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001156-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18307352
title: Schizachyrium imberbe (Hack.) A.Camus. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18307353
title: Schizachyrium imberbe (Hack.) A.Camus. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.6m69hd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.948 -4.77685, 104.877493 -4.782413, 104.808719 -4.798965, 104.743368 -4.826099, 104.683046 -4.863149, 104.629238 -4.909203, 104.583267 -4.963129, 104.546266 -5.023602, 104.519147 -5.089133, 104.502581 -5.158111, 104.496978 -5.228838, 104.502481 -5.299572, 104.518957 -5.368573, 104.546004 -5.434139, 104.582959 -5.494656, 104.628914 -5.548632, 104.682738 -5.594735, 104.743106 -5.631829, 104.808529 -5.658998, 104.877393 -5.675573, 104.948 -5.681144, 105.018607 -5.675573, 105.087471 -5.658998, 105.152894 -5.631829, 105.213262 -5.594735, 105.267086 -5.548632, 105.313041 -5.494656, 105.349996 -5.434139, 105.377043 -5.368573, 105.393519 -5.299572, 105.399022 -5.228838, 105.393419 -5.158111, 105.376853 -5.089133, 105.349734 -5.023602, 105.312733 -4.963129, 105.266762 -4.909203, 105.212954 -4.863149, 105.152632 -4.826099, 105.087281 -4.798965, 105.018507 -4.782413, 104.948 -4.77685))"},{"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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001160-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wvp84
title: Occurrence Download

description: A dataset containing 46711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nereididae, Sabellidae, Syllidae, Serpulidae, Capitellidae, Spionidae, Cirratulidae, Balanidae, Caprellidae, Carcinidae, Cheluridae, Cymothoidae, Varunidae, Euphausiidae, Ischyroceridae, Corophiidae, Limnoriidae, Aoridae, Talitridae, Palaemonidae, Sphaeromatidae, Paranthuridae, Hyalidae, Penaeidae, Mastigiidae, Pseudodiaptomidae, Panopeidae, Mysidae, Stenothoidae, Vesiculariidae, Electridae, Bugulidae, Celleporidae, Cryptosulidae, Bitectiporidae, Cribrilinidae, Nolellidae, Schizoporellidae, Sinoflustridae, Candidae, Watersiporidae, Sciaenidae, Ascidiidae, Styelidae, Cionidae, Clavelinidae, Cyprinidae, Moronidae, Didemnidae, Sparidae, Perophoridae, Engraulidae, Gobiidae, Latidae, Mugilidae, Pyuridae, Molgulidae, Muraenidae, Cichlidae, Poeciliidae, Polyclinidae, Blenniidae, Scorpaenidae, Soleidae, Uranoscopidae, Bougainvilliidae, Blackfordiidae, Cassiopeidae, Cladonematidae, Hydractiniidae, Cordylophoridae, Diadumenidae, Tubulariidae, Aiptasiidae, Campanulariidae, Pennariidae, Dendrophylliidae, Bolinopsidae, Mytilidae, Calyptraeidae, Teredinidae, Dotidae, Eubranchidae, Tethydidae, Ellobiidae, Ostreidae, Tateidae, Muricidae, Veneridae, Polyceridae, Semelidae, Trinchesiidae, Kareniaceae, Peridiniaceae, Amphoriscidae, Bonnemaisoniaceae, Caulacanthaceae, Caulerpaceae, Codiaceae, Dasyaceae, Gracilariaceae, Halymeniaceae, Cystocloniaceae, Solieriaceae, Rhodomelaceae, Sargassaceae, Ulvaceae, Alariaceae, Scombridae, Serranidae)",
 "Geometry POLYGON ((33.925781 30.297018, 30.849609 30.221102, 36.738281 17.978733, 42.539063 11.867351, 46.054688 9.362353000000001, 53.613281 12.297068, 64.6875 21.616579, 66.269531 25.403585, 65.302734 29.993002, 50.976563 32.398516, 33.925781 30.297018))"
 ]
}

 The dataset includes 46711 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001157-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86q8w9
title: Occurrence Download

description: A dataset containing 6623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lotus corniculatus)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 6623 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001159-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18307356
title: Schizachyrium plumigerum (Ekman) Parodi. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18307357
title: Schizachyrium plumigerum (Ekman) Parodi. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.q4rjeg
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((105.557 -4.651848, 105.486506 -4.657411, 105.417744 -4.673963, 105.352405 -4.701098, 105.292094 -4.738149, 105.238296 -4.784204, 105.192334 -4.838131, 105.155341 -4.898604, 105.128228 -4.964136, 105.111667 -5.033115, 105.106066 -5.103842, 105.111569 -5.174576, 105.128043 -5.243577, 105.155086 -5.309143, 105.192034 -5.36966, 105.23798 -5.423635, 105.291794 -5.469738, 105.352149 -5.506831, 105.417558 -5.534001, 105.486408 -5.550575, 105.557 -5.556146, 105.627592 -5.550575, 105.696442 -5.534001, 105.761851 -5.506831, 105.822206 -5.469738, 105.87602 -5.423635, 105.921966 -5.36966, 105.958914 -5.309143, 105.985957 -5.243577, 106.002431 -5.174576, 106.007934 -5.103842, 106.002333 -5.033115, 105.985772 -4.964136, 105.958659 -4.898604, 105.921666 -4.838131, 105.875704 -4.784204, 105.821906 -4.738149, 105.761595 -4.701098, 105.696256 -4.673963, 105.627494 -4.657411, 105.557 -4.651848))"},{"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 79 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001163-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17970923
title: Source Data for Figure 2a: Circle Manhattan plot of CMRF-associated DNA methylation in childhood cancer survivors

description: Description

This dataset contains the source data underlying Figure 2a of the manuscript:

“Epigenome-wide analysis identifies DNA methylation mediators of treatment-related cardiometabolic risk in survivors of childhood cancer.”

Authors:Tiffany Eulalio, Yoonji Kim, Xiaoxi Meng, Noel-Marie Plonski, Kyla Shelton, Heather Mulder, Emily Plyler, John Easton, Xiang Chen, Jinghui Zhang, Emily Walker, Geoffrey Neale, Min Ni, John T. Lucas Jr., Nilanjan Chatterjee, Ziqiao Wang, Deokumar Srivastava, Bonnie Ky, Stephanie B. Dixon, Kirsten K. Ness, Melissa M. Hudson, Gregory T. Armstrong, and Zhaoming Wang.

Figure 2a presents a circular Manhattan plot summarizing epigenome-wide associations between DNA methylation (DNAm) measured in peripheral blood mononuclear cells (PBMCs) and five cardiometabolic risk factors (CMRFs): obesity, abnormal glucose, hypertriglyceridemia, hypercholesterolemia, and hypertension, in survivors from the St. Jude Lifetime Cohort (SJLIFE).

Because the full EWAS result table required to generate this visualization exceeds the journal’s recommended 30 MB limit for Source Data files, it is deposited here as an external repository.

Contents

The dataset includes genome-wide EWAS summary statistics used to generate the circular Manhattan plot, with the following variables:



CpG identifier (Illumina ID)

Chromosome and genomic position

Cardiometabolic risk factor (CMRF)

Two-sided Wald test p-value


Data are provided at the aggregate level and do not contain individual-level or identifiable participant information.

Methods Summary

EWAS were conducted using logistic regression models adjusted for demographic, technical, and biological covariates, as described in the Methods section of the associated manuscript. Statistical significance was assessed using two-sided Wald tests.

Relationship to the Manuscript

This dataset supports Figure 2a and enables full reproducibility of the circular Manhattan plot visualization. Summary statistics for additional figures and analyses are provided either as Source Data files with the manuscript or in separate Zenodo records, as described in the Data Availability statement.

Access and Reuse

This dataset is publicly available for reuse under the terms specified by Zenodo. Users are requested to cite the associated manuscript when using these data.
DOI: 10.5281/zenodo.17970924
title: Source Data for Figure 2a: Circle Manhattan plot of CMRF-associated DNA methylation in childhood cancer survivors

description: Description

This dataset contains the source data underlying Figure 2a of the manuscript:

“Epigenome-wide analysis identifies DNA methylation mediators of treatment-related cardiometabolic risk in survivors of childhood cancer.”

Authors:Tiffany Eulalio, Yoonji Kim, Xiaoxi Meng, Noel-Marie Plonski, Kyla Shelton, Heather Mulder, Emily Plyler, John Easton, Xiang Chen, Jinghui Zhang, Emily Walker, Geoffrey Neale, Min Ni, John T. Lucas Jr., Nilanjan Chatterjee, Ziqiao Wang, Deokumar Srivastava, Bonnie Ky, Stephanie B. Dixon, Kirsten K. Ness, Melissa M. Hudson, Gregory T. Armstrong, and Zhaoming Wang.

Figure 2a presents a circular Manhattan plot summarizing epigenome-wide associations between DNA methylation (DNAm) measured in peripheral blood mononuclear cells (PBMCs) and five cardiometabolic risk factors (CMRFs): obesity, abnormal glucose, hypertriglyceridemia, hypercholesterolemia, and hypertension, in survivors from the St. Jude Lifetime Cohort (SJLIFE).

Because the full EWAS result table required to generate this visualization exceeds the journal’s recommended 30 MB limit for Source Data files, it is deposited here as an external repository.

Contents

The dataset includes genome-wide EWAS summary statistics used to generate the circular Manhattan plot, with the following variables:



CpG identifier (Illumina ID)

Chromosome and genomic position

Cardiometabolic risk factor (CMRF)

Two-sided Wald test p-value


Data are provided at the aggregate level and do not contain individual-level or identifiable participant information.

Methods Summary

EWAS were conducted using logistic regression models adjusted for demographic, technical, and biological covariates, as described in the Methods section of the associated manuscript. Statistical significance was assessed using two-sided Wald tests.

Relationship to the Manuscript

This dataset supports Figure 2a and enables full reproducibility of the circular Manhattan plot visualization. Summary statistics for additional figures and analyses are provided either as Source Data files with the manuscript or in separate Zenodo records, as described in the Data Availability statement.

Access and Reuse

This dataset is publicly available for reuse under the terms specified by Zenodo. Users are requested to cite the associated manuscript when using these data.
DOI: 10.15468/dl.kap84x
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lotus maritimus, Lotus maritimus, Tetragonolobus siliquosus, Lotus siliquosus, Tetragonolobus maritimus)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 140 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001164-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14553065
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.p7n624
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is one of (United States of America, Canada, Mexico)",
 "Year is greater than or equal to 1990",
 "TaxonKey is Elymus bakeri"
 ]
}

 The dataset includes 18 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001166-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25903/btp5-6w93
title: CSMP 2023 Boot and Ashmore Reef Survey Data

description: <p><b>Background: </b>Ashmore and Boot Reefs in the far north of the Coral Sea Marine Park (CSMP) have been identified through recent research as ‘bright spots’ within the CSMP, supporting higher cover and diversity of corals, and greater fish diversity and biomass than other CSMP reefs, and are considered the ‘jewel’ among Torres Strait reefs. Together with their potential ecological importance, Ashmore and Boot Reefs have cultural connections to the Meriam people. Despite the cultural and ecological significance of Ashmore and Boot Reefs our understanding of the habitats (both shallow and deep) within these reefs, the biodiversity they support, and the current status of culturally significant species is limited. The project also undertook detailed surveys of benthic and fish communities in both shallow and deep habitats using diver-based surveys, and video-based surveys (i.e., remotely operated vehicles – ROV: Blue Robotics – Blue ROV 2; and baited remote underwater video systems - BRUVS), respectively, across multiple sites in February-March 2023. These surveys were conducted to provide rigorous quantitative information on spatial patterns within and between reefs, and among depths in the (i) cover, richness and composition of major benthic taxa, namely hard corals, and algae; (ii) abundance, species richness, and biomass of reef fishes, and (iii) abundance and/or biomass of culturally important fish and macro- invertebrate species.</p>
<p><b>Methods: </b>Data collection consisted of diver-based surveys of benthic, macro-invertebrate, and fish communities in shallow (<15m) reef habitats using belt transects, point-intercept transects, photoquadrats, and diver-operated stereo video (DOV). Underwater Remotely Operated Vehicle (ROV), were used for surveys of benthic, macro-invertebrate, and fish communities in deep (15-100m) reef and non-reef (i.e., lagoonal) habitats. Towed video surveys of benthic communities in deep (15-70m) areas within the Ashmore Reef lagoon were used to map key benthic habitats. Furthermore, submission of imagery and data to “ReefCloud”, managed by the Australian Institute of Marine Science (AIMS) was conducted to provide a permanent repository for the survey imagery and data and allow direct access for the Meriam people. R Studio Version 4.4.0 was used to analyse the data and produce graphs.</p>
<p>
<b>This data record contains:</b>
<ul>
<li>2 x Excel (.xlsx) files relating to the BRUVs, one of fish counts and the benthic cover;</li>
<li>2 x Excel (.xlsx and .csv) files relating to the ROV surveys, one of fish counts and the benthic cover;</li>
<li>4 x Excel (.xlsx) files containing data from the diver-based surveys on the shallow-reef habitats, one relating to each of the following benthic cover, macro-invertebrate counts, fish counts and coral health and recruitment</li>
</ul><p/>
<p>
MS Excel files also saved in Open Document Format (.ods)</p>
DOI: 10.15468/dl.rfchku
title: Occurrence Download

description: A dataset containing 132982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.17171 36.41737,-4.95661 36.41737,-4.95661 36.67558,-5.17171 36.67558,-5.17171 36.41737))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 132982 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001125-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jv3mwz
title: Occurrence Download

description: A dataset containing 2786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Museu Paraense Emílio Goeldi - Opiliones Collection",
 "Country is one of (Argentina, Bolivia (Plurinational State of), Brazil, Colombia, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Venezuela (Bolivarian Republic of), Ecuador, Chile)"
 ]
}

 The dataset includes 2786 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001165-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbuedu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((105.187 -4.643848, 105.116507 -4.649411, 105.047746 -4.665963, 104.982407 -4.693098, 104.922097 -4.730149, 104.8683 -4.776204, 104.822339 -4.830131, 104.785346 -4.890604, 104.758234 -4.956136, 104.741672 -5.025115, 104.736072 -5.095842, 104.741575 -5.166577, 104.758048 -5.235577, 104.785091 -5.301143, 104.822039 -5.36166, 104.867985 -5.415635, 104.921798 -5.461738, 104.982152 -5.498832, 105.04756 -5.526001, 105.116409 -5.542575, 105.187 -5.548146, 105.257591 -5.542575, 105.32644 -5.526001, 105.391848 -5.498832, 105.452202 -5.461738, 105.506015 -5.415635, 105.551961 -5.36166, 105.588909 -5.301143, 105.615952 -5.235577, 105.632425 -5.166577, 105.637928 -5.095842, 105.632328 -5.025115, 105.615766 -4.956136, 105.588654 -4.890604, 105.551661 -4.830131, 105.5057 -4.776204, 105.451903 -4.730149, 105.391593 -4.693098, 105.326254 -4.665963, 105.257493 -4.649411, 105.187 -4.643848))"},{"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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001168-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17970459
title: Cancer treatment–associated DNA methylation signatures in childhood cancer survivors (SJLIFE)

description: This dataset contains EWAS results for the following study:

"Epigenome-wide analysis identifies DNA methylation mediators of treatment-related cardiometabolic risk in survivors of childhood cancer"

Authors:Tiffany Eulalio, Yoonji Kim, Xiaoxi Meng, Noel-Marie Plonski, Kyla Shelton, Heather Mulder, Emily Plyler, John Easton, Xiang Chen, Jinghui Zhang, Emily Walker, Geoffrey Neale, Min Ni, John T. Lucas Jr., Nilanjan Chatterjee, Ziqiao Wang, Deokumar Srivastava, Bonnie Ky, Stephanie B. Dixon, Kirsten K. Ness, Melissa M. Hudson, Gregory T. Armstrong, and Zhaoming Wang.

Dataset Contents

This dataset contains summary statistics from analyses evaluating associations between cancer treatment exposures and DNA methylation levels in childhood cancer survivors enrolled in the St. Jude Lifetime Cohort (SJLIFE).

DNA methylation was measured in peripheral blood mononuclear cells (PBMCs). For each cancer treatment exposure, associations with CpG-level DNA methylation were tested using regression models adjusting for relevant demographic and clinical covariates, as described in the associated publication. The dataset includes effect estimates, standard errors, test statistics, and p-values for each treatment–CpG association.

Intended Use

These summary statistics are intended to support transparency, reproducibility, and secondary analyses, including cross-study comparisons, enrichment analyses, and integration with external epigenomic or genetic resources. Individual-level participant data are not included.

Data Access and Ethics

The dataset contains only de-identified, aggregate-level summary statistics and does not include any individual-level clinical or molecular data. Use of these data is subject to the terms described in the associated publication and relevant data use agreements governing the SJLIFE cohort.

Corresponding Author

Zhaoming Wang, PhDHealth Informatics Institute, Morsani College of Medicine &Bellini College of Artificial Intelligence, Cybersecurity and ComputingUniversity of South Florida, Tampa, FL, USAEmail: zhaomingwang@usf.edu

Notes

Results from sensitivity analyses (e.g., incident-only outcomes and alternative model specifications) are not included in this dataset but are described in the manuscript and Supplementary Information.