cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17970458
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.
DOI: 10.5281/zenodo.18307370
title: Schizachyrium microstachyum (Ham.) Roseng., B.R.Arrill. & Izag. 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.18307369
title: Schizachyrium microstachyum (Ham.) Roseng., B.R.Arrill. & Izag. 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.m4c4ef
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lotus pedunculatus, Lotus uliginosus, Lotus uliginosus)",
 "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 94 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001169-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17969753
title: SJLIFE Cardiometabolic Risk Factor EWAS Summary Results

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

The dataset includes EWAS summary statistics for DNA methylation measured in peripheral blood mononuclear cells (PBMCs) from childhood cancer survivors enrolled in the St. Jude Lifetime Cohort (SJLIFE). Results are organized by cardiometabolic risk factor (CMRF), including obesity, abnormal glucose, hypertriglyceridemia, hypercholesterolemia, and hypertension.

All EWAS analyses were conducted using prevalent case definitions of CMRFs, as described in the associated manuscript. For each CpG–CMRF association, the dataset provides effect estimates, standard errors, test statistics, and p-values derived from logistic regression models.

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.
DOI: 10.5281/zenodo.17969754
title: SJLIFE Cardiometabolic Risk Factor EWAS Summary Results

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

The dataset includes EWAS summary statistics for DNA methylation measured in peripheral blood mononuclear cells (PBMCs) from childhood cancer survivors enrolled in the St. Jude Lifetime Cohort (SJLIFE). Results are organized by cardiometabolic risk factor (CMRF), including obesity, abnormal glucose, hypertriglyceridemia, hypercholesterolemia, and hypertension.

All EWAS analyses were conducted using prevalent case definitions of CMRFs, as described in the associated manuscript. For each CpG–CMRF association, the dataset provides effect estimates, standard errors, test statistics, and p-values derived from logistic regression models.

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.
DOI: 10.15468/dl.9y4pb8
title: Occurrence Download

description: A dataset containing 1765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lupinus polyphyllus, Lupinus polyphyllus)",
 "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 1765 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001173-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fz7m6w
title: Occurrence Download

description: A dataset containing 178 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 Draba spectabilis"
 ]
}

 The dataset includes 178 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001172-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upjqpu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((105.134 -4.621848, 105.063509 -4.627411, 104.99475 -4.643963, 104.929413 -4.671098, 104.869106 -4.708149, 104.81531 -4.754204, 104.76935 -4.808131, 104.732359 -4.868605, 104.705248 -4.934137, 104.688687 -5.003115, 104.683087 -5.073843, 104.68859 -5.144577, 104.705063 -5.213578, 104.732105 -5.279144, 104.769052 -5.339661, 104.814996 -5.393636, 104.868807 -5.439739, 104.929159 -5.476832, 104.994565 -5.504001, 105.063412 -5.520575, 105.134 -5.526146, 105.204588 -5.520575, 105.273435 -5.504001, 105.338841 -5.476832, 105.399193 -5.439739, 105.453004 -5.393636, 105.498948 -5.339661, 105.535895 -5.279144, 105.562937 -5.213578, 105.57941 -5.144577, 105.584913 -5.073843, 105.579313 -5.003115, 105.562752 -4.934137, 105.535641 -4.868605, 105.49865 -4.808131, 105.45269 -4.754204, 105.398894 -4.708149, 105.338587 -4.671098, 105.27325 -4.643963, 105.204491 -4.627411, 105.134 -4.621848))"},{"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/0001171-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcnnh5
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/0001175-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nw5tek
title: Occurrence Download

description: A dataset containing 72185 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Belgian Coccinellidae - Ladybird beetles in Belgium"
 ]
}

 The dataset includes 72185 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001158-260119153935675/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/14553051
title: South Asia Earthquake Hazards
DOI: 10.15468/dl.yb32rc
title: Occurrence Download

description: A dataset containing 1335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luzula campestris, Luzula campestris, Luzula campestris)",
 "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 1335 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001176-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abxekr
title: Occurrence Download

description: A dataset containing 7089 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 Delphinium nuttallianum"
 ]
}

 The dataset includes 7089 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001179-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5y6td8
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((105.302 -4.613848, 105.23151 -4.619411, 105.162751 -4.635963, 105.097416 -4.663098, 105.037109 -4.700149, 104.983314 -4.746204, 104.937355 -4.800131, 104.900364 -4.860605, 104.873253 -4.926137, 104.856692 -4.995116, 104.851093 -5.065843, 104.856596 -5.136578, 104.873069 -5.205578, 104.90011 -5.271144, 104.937057 -5.331661, 104.983 -5.385636, 105.036811 -5.431739, 105.097162 -5.468832, 105.162567 -5.496001, 105.231413 -5.512576, 105.302 -5.518146, 105.372587 -5.512576, 105.441433 -5.496001, 105.506838 -5.468832, 105.567189 -5.431739, 105.621 -5.385636, 105.666943 -5.331661, 105.70389 -5.271144, 105.730931 -5.205578, 105.747404 -5.136578, 105.752907 -5.065843, 105.747308 -4.995116, 105.730747 -4.926137, 105.703636 -4.860605, 105.666645 -4.800131, 105.620686 -4.746204, 105.566891 -4.700149, 105.506584 -4.663098, 105.441249 -4.635963, 105.37249 -4.619411, 105.302 -4.613848))"},{"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 28 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001178-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rc779
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luzula multiflora)",
 "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 360 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001181-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18307376
title: Schizachyrium salzmannii (Trin. ex Steud.) Nash. 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.18306668
title: Dataset on hygienic-sanitary conditions of food establishments in a public market

description: The Dataset on hygienic-sanitary conditions of food establishments in a public market includes data from 328 establishments in Asunción, Paraguay and 141 variables in Excel format. In N/A cases, a brief justification for inapplicability was provided in an additional column adjacent to the corresponding variable. A data dictionary file is also included to provide definitions for each variable and their possible responses. 

The dataset is used in market monitoring, the design of training programs, and research on food safety. It can also be used in predictive modeling and strategic decision-making, making it valuable for municipal authorities, researchers, entrepreneurs, and AI specialists.
DOI: 10.5281/zenodo.18307375
title: Schizachyrium salzmannii (Trin. ex Steud.) Nash. 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.15391867
title: Dataset on hygienic-sanitary conditions of food establishments in a public market

description: The Dataset on hygienic-sanitary conditions of food establishments in a public market includes data from 328 establishments in Asunción, Paraguay and 141 variables in Excel format. In N/A cases, a brief justification for inapplicability was provided in an additional column adjacent to the corresponding variable. A data dictionary file is also included to provide definitions for each variable and their possible responses. 

The dataset is used in market monitoring, the design of training programs, and research on food safety. It can also be used in predictive modeling and strategic decision-making, making it valuable for municipal authorities, researchers, entrepreneurs, and AI specialists.
DOI: 10.5281/zenodo.17898964
title: Dataset for the research article "Dependence of the Helmholtz Layer Capacitance on Interfacial Charge Density at Polarizable Liquid|Liquid Interfaces"

description: This dataset contains all experimental and simulated data for the article "Dependence of the Helmholtz Layer Capacitance on Interfacial Charge Density at Polarizable Liquid|Liquid Interfaces".

The dataset contains a README file with details of all of the raw data files (typically .TXT files) used to prepare each Figure in the Article and Supporting Information. The README file also contains descriptions of methods used for collection/generation of data, methods used for processing the data, instrument- or software-specific information needed to interpret and use the data, and standards and calibration information (if appropriate).

The dataset includes the raw data extracted from the potentiostat software just after measurement, the simulation outputs applying the mathematical model presented in the main text of the Article, and the Excel files employed to fit the experimental data with the model.

A tutorial Movie is also provided. In this movie, we guide researchers step-by-step on how to simulate the differential capacitance at a polarizable liquid|liquid interface using the Excel files provided.
description: Part of this work has emanated from research conducted by N.R.S. with the financial support of Research Ireland, Grant Number 12/RC/2278_2.
DOI: 10.5281/zenodo.17808336
title: Dataset for the research article "Dependence of the Helmholtz Layer Capacitance on Interfacial Charge Density at Polarizable Liquid|Liquid Interfaces"

description: This dataset contains all experimental and simulated data for the article "Dependence of the Helmholtz Layer Capacitance on Interfacial Charge Density at Polarizable Liquid|Liquid Interfaces".

The dataset contains a README file with details of all of the raw data files (typically .TXT files) used to prepare each Figure in the Article and Supporting Information. The README file also contains descriptions of methods used for collection/generation of data, methods used for processing the data, instrument- or software-specific information needed to interpret and use the data, and standards and calibration information (if appropriate).

The dataset includes the raw data extracted from the potentiostat software just after measurement, the simulation outputs applying the mathematical model presented in the main text of the Article, and the Excel files employed to fit the experimental data with the model.

A tutorial Movie is also provided. In this movie, we guide researchers step-by-step on how to simulate the differential capacitance at a polarizable liquid|liquid interface using the Excel files provided.
description: Part of this work has emanated from research conducted by N.R.S. with the financial support of Research Ireland, Grant Number 12/RC/2278_2.