cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.84bhdw
title: Occurrence Download

description: A dataset containing 26294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Trachylepis varia (Peters, 1867), Hemidactylus mabouia (Moreau De Jonnès, 1818))"
 ]
}

 The dataset includes 26294 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002946-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vsx7z
title: Occurrence Download

description: A dataset containing 165193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-5.4858 37.08745,-5.65773 36.83815,-5.21931 36.37393,-4.9872 36.33955,-4.7293 36.39113,-4.06737 36.44271,-3.26788 36.4685,-2.80367 36.68341,-2.79507 37.36254,-3.19051 37.82676,-3.65473 38.01588,-4.39404 37.91272,-4.97001 37.66342,-5.4858 37.08745))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 165193 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002941-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14044963
title: The spatial landscape of Cancer Hallmarks reveals patterns of tumor ecology and drug sensitivity
DOI: 10.15468/dl.qga6kk
title: Occurrence Download

description: A dataset containing 1179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halcyon pileata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1179 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020137-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17162615
title: Elevated adiponectin and altered metabolic signaling in asymptomatic malaria: a community-based study of Nigerian children

description: De-identified individual-level baseline data from a community-based, cross-sectional study of primary-school children in Akinyele LGA, Ibadan, Nigeria (March–June 2024; n = 317). The dataset was collected to examine whether asymptomatic malaria is associated with altered adipocytokine signaling in childhood.

Malaria ascertainment: rapid diagnostic test (RDT) and light microscopy; malaria_status is a binary composite (positive if either test positive), and Paracount records parasite density (parasites/μL) for microscopy-positive children.Biomarkers: plasma adiponectin (μg/mL), leptin (ng/mL), resistin (ng/mL); derived leptin-to-adiponectin ratio (LA_ratio). High-sensitivity CRP (mg/L) is included for inflammation-restricted analyses.Anthropometry & hematology: height, weight, HAZ (zhfa), BAZ (zbfa), hemoglobin (g/dL), hematocrit (%), white blood cell and platelet counts (subset).Demographics & clustering: age (years), sex, and a school-level cluster identifier (Schname) reflecting the school-based sampling frame.Assay/quality: ELISAs run in duplicate with re-run if CV>15%; units harmonized to μg/mL (adiponectin) and ng/mL (leptin/resistin).Files & formats: Stata 17 .dta file (adiponectin_update.dta) and a PDF data dictionary (Dataset descriptions.pdf). The .dta can be read in R (haven) or Python (pandas).

Ethics: Approved by the Oyo State Ministry of Health Research Ethics Committee (AD13/479/016c; 2024). Data are fully de-identified.

Intended use: to reproduce the manuscript’s group comparisons, adjusted log-linear models (cluster-robust SEs by school), and parasite-density correlations; and for secondary analyses on immunometabolic markers in pediatric asymptomatic malaria.
DOI: 10.5281/zenodo.17162616
title: Elevated adiponectin and altered metabolic signaling in asymptomatic malaria: a community-based study of Nigerian children

description: De-identified individual-level baseline data from a community-based, cross-sectional study of primary-school children in Akinyele LGA, Ibadan, Nigeria (March–June 2024; n = 317). The dataset was collected to examine whether asymptomatic malaria is associated with altered adipocytokine signaling in childhood.

Malaria ascertainment: rapid diagnostic test (RDT) and light microscopy; malaria_status is a binary composite (positive if either test positive), and Paracount records parasite density (parasites/μL) for microscopy-positive children.Biomarkers: plasma adiponectin (μg/mL), leptin (ng/mL), resistin (ng/mL); derived leptin-to-adiponectin ratio (LA_ratio). High-sensitivity CRP (mg/L) is included for inflammation-restricted analyses.Anthropometry & hematology: height, weight, HAZ (zhfa), BAZ (zbfa), hemoglobin (g/dL), hematocrit (%), white blood cell and platelet counts (subset).Demographics & clustering: age (years), sex, and a school-level cluster identifier (Schname) reflecting the school-based sampling frame.Assay/quality: ELISAs run in duplicate with re-run if CV>15%; units harmonized to μg/mL (adiponectin) and ng/mL (leptin/resistin).Files & formats: Stata 17 .dta file (adiponectin_update.dta) and a PDF data dictionary (Dataset descriptions.pdf). The .dta can be read in R (haven) or Python (pandas).

Ethics: Approved by the Oyo State Ministry of Health Research Ethics Committee (AD13/479/016c; 2024). Data are fully de-identified.

Intended use: to reproduce the manuscript’s group comparisons, adjusted log-linear models (cluster-robust SEs by school), and parasite-density correlations; and for secondary analyses on immunometabolic markers in pediatric asymptomatic malaria.
DOI: 10.15468/dl.kzgah2
title: Occurrence Download

description: A dataset containing 66166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 66166 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020086-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2q52w
title: Occurrence Download

description: A dataset containing 11652 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna y Flora de los predios California y San Carlos en el piedemonte Casanareño en el marco del proyecto de restauración y compensación de Covioriente S.A.S."
 ]
}

 The dataset includes 11652 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020138-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kav2nf
title: Occurrence Download

description: A dataset containing 1638 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreos anuales de fauna silvestre en áreas cercanas a las líneas de flujo del pozo Buenos Aires Z - CPF Cusiana"
 ]
}

 The dataset includes 1638 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020139-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk2fkc
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020141-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8avt6
title: Occurrence Download

description: A dataset containing 4982 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros biológicos de especies de fauna vertebrada terrestre en las centrales de San Carlos y Jaguas - 2007"
 ]
}

 The dataset includes 4982 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020142-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyxt9f
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mesosphaerum suaveolens",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020143-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pdek5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pitar elatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020140-250914085247600/datasets/export for details.
DOI: 10.15468/dl.5244bd
title: Occurrence Download

description: A dataset containing 187234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, Depuración de la colección y base de datos del Herbario CICY. Fase IV, Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Observation.org, Nature data from around the World)",
 "Geometry POLYGON((-88.30392 21.46934,-87.9575 21.46934,-87.9575 21.66025,-88.30392 21.66025,-88.30392 21.46934))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 187234 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020097-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dd4d52
title: Occurrence Download

description: A dataset containing 3937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aix galericulata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3937 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020144-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxw5ds
title: Occurrence Download

description: A dataset containing 4130 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allobates femoralis"
 ]
}

 The dataset includes 4130 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020145-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqagzx
title: Occurrence Download

description: A dataset containing 377977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Charadriiformes"
 ]
}

 The dataset includes 377977 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020096-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17162648
title: UCIS4EQ: Urgent Computing Integrated Services for Earthquakes

description: UCIS4EQ: Urgent Computing Integrated Services for Earthquakes _______________________________________________________________________________________________________________________________________________________________________________________________

The Urgent Computing Integrated Services for Earthquakes (UCIS4EQ) is proposed as an innovative UC seismic workflow designed to rapidly generate synthetic estimates of the consequences (such as synthetic time histories, shakemaps, PGA/PGV, among other proxies) of moderate to large earthquakes (M > 6). This software solution was developed at the Barcelona Supercomputing Center - Centro Nacional de Supercomputación (CNS), as part of the ChEESE-COE project. It was later modified within the framework of the ChEESE-2P and eFlows4HPC projects. Authors: Josep de la Puente, Juan Esteban Rodríguez, Marisol Monterrubio Marta Pienkowska-Cote. Contributors: Georgina Díez, Leonarda Esquivel, David Sollberger, Christian Boehm, Natalia Zamora, Fernando Vazquez Contacts: marisol.monterrubio@bsc.es georgina.diezventura@bsc.es This program is free software: you can redistribute it and/or modify it under the terms of the BSD 3-clause License , aka BSD NEW License, aka BSD REVISED License, aka MODIFIED BSD License as published by the Regents of the University of California. This program is distributed as is, in the hope that it will be useful, but WITHOUT ANY WARRANTY, without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the MODIFIED BSD LICENSE for more details. You should have received a copy of the MODIFIED BSD LICENSE along with this program. If not, see . ___________________________________________________________________________________________________________________________________________________________________

The UCIS4EQ output is composed for each simulation ejecuted by: - point_output.h5 file Contains all synthetic seismograms computed at each point (latitude, longitude) in the grid (entery domain) including locations of real seismic stations. To obtain m/s units synthetics must be divide by 10. - Intensity Maps folder that contain all seismic intensity maps computed using different proxies such as: PGA, PGV, SA, CAV, RotD50, Arias Intensity (AI), and Duration based on AI.
DOI: 10.5281/zenodo.17162649
title: UCIS4EQ: Urgent Computing Integrated Services for Earthquakes

description: UCIS4EQ: Urgent Computing Integrated Services for Earthquakes _______________________________________________________________________________________________________________________________________________________________________________________________

The Urgent Computing Integrated Services for Earthquakes (UCIS4EQ) is proposed as an innovative UC seismic workflow designed to rapidly generate synthetic estimates of the consequences (such as synthetic time histories, shakemaps, PGA/PGV, among other proxies) of moderate to large earthquakes (M > 6). This software solution was developed at the Barcelona Supercomputing Center - Centro Nacional de Supercomputación (CNS), as part of the ChEESE-COE project. It was later modified within the framework of the ChEESE-2P and eFlows4HPC projects. Authors: Josep de la Puente, Juan Esteban Rodríguez, Marisol Monterrubio Marta Pienkowska-Cote. Contributors: Georgina Díez, Leonarda Esquivel, David Sollberger, Christian Boehm, Natalia Zamora, Fernando Vazquez Contacts: marisol.monterrubio@bsc.es georgina.diezventura@bsc.es This program is free software: you can redistribute it and/or modify it under the terms of the BSD 3-clause License , aka BSD NEW License, aka BSD REVISED License, aka MODIFIED BSD License as published by the Regents of the University of California. This program is distributed as is, in the hope that it will be useful, but WITHOUT ANY WARRANTY, without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the MODIFIED BSD LICENSE for more details. You should have received a copy of the MODIFIED BSD LICENSE along with this program. If not, see . ___________________________________________________________________________________________________________________________________________________________________

The UCIS4EQ output is composed for each simulation ejecuted by: - point_output.h5 file Contains all synthetic seismograms computed at each point (latitude, longitude) in the grid (entery domain) including locations of real seismic stations. To obtain m/s units synthetics must be divide by 10. - Intensity Maps folder that contain all seismic intensity maps computed using different proxies such as: PGA, PGV, SA, CAV, RotD50, Arias Intensity (AI), and Duration based on AI.
DOI: 10.15468/dl.h8wrh4
title: Occurrence Download

description: A dataset containing 8932 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Formación de una base de datos de la biodiversidad de fauna marina y costera en el Golfo de California"
 ]
}

 The dataset includes 8932 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020146-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.py8xst
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pitar fulminatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 33 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020147-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17162673
title: Fatality Analysis Reporting System (FARS) Processed Data – rfars

description: The Fatality Analysis Reporting System (FARS) is a nationwide census of all U.S. motor vehicle crashes resulting in a fatality, maintained by the National Highway Traffic Safety Administration (NHTSA). While the raw FARS data are publicly available, they are distributed in formats that require significant preprocessing before analysis. This dataset provides a processed version of the FARS database (2014-2023), optimized for immediate use in R, Python, Excel, and other modern data tools. It was prepared by the rfars R package, enabling researchers, policymakers, and educators to access and analyze fatal crash data more efficiently and reproducibly.

This dataset is provided in three different file formats to support a wide range of users and analysis environments:



CSV (.csv) - a plain text format, with each of the five tables saved separately. These files are the most universally compatible and can be opened directly in Excel, though they are larger.

Parquet (.parquet) - a modern, compressed, cross-platform columnar format. Each of the five tables is provided separately (fars_accident.parquet, fars_vehicle.parquet, etc.). This version is recommended for Python, SQL, and advanced R users, as it is smaller than CSV and loads quickly in most data science environments.

RDS (.rds) - a native R format containing the full dataset as a list of five related tables (accident, vehicle, person, drugs, distract). This version is recommended for R users, since it can be loaded in one step with readRDS() and preserves all variable types exactly as processed.
description: Version 2025.4 adds the codebooks with definitions.
DOI: 10.15468/dl.te65tk
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Bangladesh",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020148-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17162674
title: Crash Report Sampling System (CRSS) Processed Data – rfars

description: The General Estimates System (GES), redesigned as the Crash Report Sampling System (CRSS) in 2016, is a nationally representative sample of police-reported motor vehicle crashes in the U.S., maintained by the National Highway Traffic Safety Administration (NHTSA). While the raw GES/CRSS data are publicly available, they are distributed in formats that require significant preprocessing before analysis. This dataset provides a processed version of the GES/CRSS database (2014-2023), optimized for immediate use in R, Python, Excel, and other modern data tools. It was prepared by the rfars R package, enabling researchers, policymakers, and educators to access and analyze crash data more efficiently and reproducibly.

This dataset is provided in three different file formats to support a wide range of users and analysis environments:



CSV (.csv) - a plain text format, with each of the five tables saved separately. These files are the most universally compatible and can be opened directly in Excel, though they are larger.

Parquet (.parquet) - a modern, compressed, cross-platform columnar format. Each of the five tables is provided separately (fars_accident.parquet, fars_vehicle.parquet, etc.). This version is recommended for Python, SQL, and advanced R users, as it is smaller than CSV and loads quickly in most data science environments.

RDS (.rds) - a native R format containing the full dataset as a list of five related tables (accident, vehicle, person, drugs, distract). This version is recommended for R users, since it can be loaded in one step with readRDS() and preserves all variable types exactly as processed.
description: Version 2025.4 adds the codebooks with definitions.
DOI: 10.15468/dl.a77tm8
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020149-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/25496
title: Chandra X-ray Observatory ObsId 25496

description: A Chandra Legacy Observation of Abell 2029
DOI: 10.25574/25814
title: Chandra X-ray Observatory ObsId 25814

description: A Chandra Legacy Observation of Abell 2029
DOI: 10.25574/25815
title: Chandra X-ray Observatory ObsId 25815

description: A Chandra Legacy Observation of Abell 2029
DOI: 10.25574/25816
title: Chandra X-ray Observatory ObsId 25816

description: A Chandra Legacy Observation of Abell 2029
DOI: 10.15468/dl.nuu4as
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Burundi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020150-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/25819
title: Chandra X-ray Observatory ObsId 25819

description: A Chandra Legacy Observation of Abell 2029
DOI: 10.25574/25824
title: Chandra X-ray Observatory ObsId 25824

description: A Chandra Legacy Observation of Abell 2029