cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15586792
title: BODY COMPOSITION AS A COMPLEMENTARY TOOL FOR METABOLIC SYNDROME DETECTION SIX YEARS POSTPARTUM: A St. CARLOS COHORT FOLLOW–UP.

description: The Hospital Clínico San Carlos is a public hospital located in the central area of Madrid and had a healthcare population of 445,000 inhabitants assigned during the performance of this study, between 2015-2017. The prenatal screening consultation is located in the hospital, where all pregnant women are received between the 9-12 week of gestation to perform the first ultrasound and the screening test to detect the risk of chromosomal alterations and were invited to participate in St Carlos GDM Prevention Studies.

San Carlos Cohort. The San Carlos Cohort is constituted of women who took part in the studies for the prevention of Gestational Diabetes carried out between 2015-2017 and registered as RCT (ISRCTN84389045; ISRCTN13389832, ISRCTN16896947). The studies were approved by the Clinical Trials Committee of the Hospital Clínico San Carlos (CI 13/296-E, CI16/442-E, and CI 16/316)). All women signed the informed consentA total of 2529 normoglycemic (fasting serum glucose <92 mg/dL between the 8th-12th GW) pregnant women were included in the studies, of which 2228 women finally completed the study until delivery follow-up, between 2015-2018, and 1808 women participated in postnatal follow-up at a 6-year visit between 2020-2024, of which. A total of 1381 completed 6 years of follow-up without having had a new pregnancy, and have been included in this study. 379 in the CG (27.4%) and 1003 in the IG (72.6%), of whom 243 had GDM during pregnancy while the rest (1030) remained with normal glucose tolerance during gestation according to IADPSG criteria 

 

This study aimed to assess differences in body composition and metabolic health six years postpartum based on prior GDM diagnosis and to identify body composition cut–off values predictive of MetS. Body composition was assessed using bioelectrical impedance analysis (BIA), and MetS was diagnosed per harmonized criteria. Statistical analyses included ROC curves to establish diagnostic accuracy and optimal cut–off points.
DOI: 10.5281/zenodo.15586793
title: BODY COMPOSITION AS A COMPLEMENTARY TOOL FOR METABOLIC SYNDROME DETECTION SIX YEARS POSTPARTUM: A St. CARLOS COHORT FOLLOW–UP.

description: The Hospital Clínico San Carlos is a public hospital located in the central area of Madrid and had a healthcare population of 445,000 inhabitants assigned during the performance of this study, between 2015-2017. The prenatal screening consultation is located in the hospital, where all pregnant women are received between the 9-12 week of gestation to perform the first ultrasound and the screening test to detect the risk of chromosomal alterations and were invited to participate in St Carlos GDM Prevention Studies.

San Carlos Cohort. The San Carlos Cohort is constituted of women who took part in the studies for the prevention of Gestational Diabetes carried out between 2015-2017 and registered as RCT (ISRCTN84389045; ISRCTN13389832, ISRCTN16896947). The studies were approved by the Clinical Trials Committee of the Hospital Clínico San Carlos (CI 13/296-E, CI16/442-E, and CI 16/316)). All women signed the informed consentA total of 2529 normoglycemic (fasting serum glucose <92 mg/dL between the 8th-12th GW) pregnant women were included in the studies, of which 2228 women finally completed the study until delivery follow-up, between 2015-2018, and 1808 women participated in postnatal follow-up at a 6-year visit between 2020-2024, of which. A total of 1381 completed 6 years of follow-up without having had a new pregnancy, and have been included in this study. 379 in the CG (27.4%) and 1003 in the IG (72.6%), of whom 243 had GDM during pregnancy while the rest (1030) remained with normal glucose tolerance during gestation according to IADPSG criteria 

 

This study aimed to assess differences in body composition and metabolic health six years postpartum based on prior GDM diagnosis and to identify body composition cut–off values predictive of MetS. Body composition was assessed using bioelectrical impedance analysis (BIA), and MetS was diagnosed per harmonized criteria. Statistical analyses included ROC curves to establish diagnostic accuracy and optimal cut–off points.
DOI: 10.15468/dl.xaqyrz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Locality is Zapotitlán de Mendez (pueblo)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyanerpes cyaneus (Linnaeus, 1766)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018287-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rzw53
title: Occurrence Download

description: A dataset listing the 941 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is 台灣真菌地理分布系統資料庫之建制與應用(1/4)"
 ]
}

 The dataset's 941 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018285-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4zf4y
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Atractus latifrons (Günther, 1868)"
 ]
}

 The dataset includes 124 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018289-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b22wf6
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018288-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ixkkcs
title: Replication Data and Excel Template for "A Simplified Guide for Weighted Fitting and its Significance in Separation Science"

description: Weighted least squares (WLS) improves calibration accuracy, especially at low analyte concentrations where ordinary least squares (OLS) fails.
Chromatographic data often exhibits heteroscedastic noise, making WLS a better choice than OLS for regression.
A step-by-step WLS guide using high-performance liquid chromatography–ultraviolet (HPLC–UV) data for carbamazepine demonstrates reduced quantitation errors.
WLS can be implemented easily in Excel, offering analysts a cost-effective tool for robust quantitation.
DOI: 10.15468/dl.nkz56q
title: Occurrence Download

description: A dataset containing 3154142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus L."
 ]
}

 The dataset includes 3154142 records from 3844 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018284-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15598310
title: Metabolomics data for plasma samples of mice treated with dietary modified fecal microbiota transplantation

description: The dataset contains untargeted LC-MS metabolomic profiles of plasma collected from subjected to increased protein diet (veg or egg) to healthy FMT donors, and the plasma of recipient alcoholic liver disease animals.
DOI: 10.5281/zenodo.15598311
title: Metabolomics data for plasma samples of mice treated with dietary modified fecal microbiota transplantation

description: The dataset contains untargeted LC-MS metabolomic profiles of plasma collected from subjected to increased protein diet (veg or egg) to healthy FMT donors, and the plasma of recipient alcoholic liver disease animals.
DOI: 10.15468/dl.fgxk39
title: Occurrence Download

description: A dataset containing 1218 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyxicephalus adspersus Tschudi, 1838"
 ]
}

 The dataset includes 1218 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021887-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9ff7mxf7k5
title: Estimating Phase Boundaries Using Sampling and Machine Learning of Derivatives of Thermochemistry Properties

description: The data contain the original thermodynamic data of the two systems, which can be calculated according to the content of the article.
DOI: 10.17632/9ff7mxf7k5.1
title: Estimating Phase Boundaries Using Sampling and Machine Learning of Derivatives of Thermochemistry Properties

description: The data contain the original thermodynamic data of the two systems, which can be calculated according to the content of the article.
DOI: 10.6084/m9.figshare.29245223
title: Artificial Intelligence-Driven ESG Carbon Accounting Disclosure and Compliance Checking System

description: Carbon emission reporting is vital for companies' ESG responsibilities, but traditional methods are manual, error-prone, and inefficient. CESG-AI is an AI-powered framework designed to automate carbon accounting and ESG compliance. It integrates Natural Language Processing, machine learning, and rule-based logic to extract and analyze carbon-related data from ESG reports, ensuring alignment with standards like GRI and SASB. CESG-AI calculates emissions, checks compliance thresholds, and reduces manual workload. Evaluated on 500 reports, it achieved 91.3% accuracy in data extraction and 87.5% in compliance checking, outperforming traditional approaches. CESG-AI provides a reliable, efficient solution to improve ESG reporting and regulatory adherence.
DOI: 10.6084/m9.figshare.29245223.v1
title: Artificial Intelligence-Driven ESG Carbon Accounting Disclosure and Compliance Checking System

description: Carbon emission reporting is vital for companies' ESG responsibilities, but traditional methods are manual, error-prone, and inefficient. CESG-AI is an AI-powered framework designed to automate carbon accounting and ESG compliance. It integrates Natural Language Processing, machine learning, and rule-based logic to extract and analyze carbon-related data from ESG reports, ensuring alignment with standards like GRI and SASB. CESG-AI calculates emissions, checks compliance thresholds, and reduces manual workload. Evaluated on 500 reports, it achieved 91.3% accuracy in data extraction and 87.5% in compliance checking, outperforming traditional approaches. CESG-AI provides a reliable, efficient solution to improve ESG reporting and regulatory adherence.
DOI: 10.17632/svtbfsnkwf
title: Data-Ansari

description: Data for paper: Comparison of Ross and Arian strains in exposure to heat stress during rearing and embryonic thermal manipulation
DOI: 10.17632/svtbfsnkwf.1
title: Data-Ansari

description: Data for paper: Comparison of Ross and Arian strains in exposure to heat stress during rearing and embryonic thermal manipulation
DOI: 10.17632/9v8ndhctvz
title: Quantitative sensory testing and classical pain model dataset in 127 healthy volunteers with and without capsaicin sensitization

description: This dataset contains comprehensive quantitative sensory testing (QST) and classical experimental pain model data collected from healthy adult volunteers in both untreated (control) and capsaicin-sensitized conditions. The data were generated using a standardized QST battery developed by the German Research Network on Neuropathic Pain, as well as a series of traditional pain tests (mechanical, thermal, electrical, and chemical). Each file provides detailed sensory and pain response profiles, including raw measurements and processed parameters (e.g., z-scores, medians, and VAS ratings).

File overview:

File 1: qst_pain_data_orig.csv
This file contains the original raw data matrix with 127 rows (subjects) and 23 columns (variables). The first column ("ID") lists arbitrary subject identifiers. Columns 2 through 23 include various pain sensitivity measures derived from both the standardized quantitative sensory testing (QST) battery and classical experimental pain models, covering mechanical, thermal (contact heat and cold, Laser heat), electrical, and chemical (intanasally applied gaseous carbon dioxide) stimuli.

File 2: qst_pain_data_transformed.csv
This file contains the same 127 subjects and 23 variables as file 1, but with data subjected to basic transformations for analysis consistency. Transformations include sign inversion for variables where higher values indicate greater pain sensitivity (e.g., TSACold, CO2VAS, LaserVAS, CDT, CPT, MPS, WUR, VDT, DMA), conversion of blunt pressure units from N/cm² to kilopascals (kPa), and log-transformation following psychophysical scaling laws. These adjustments harmonize the direction and scale of pain sensitivity measures across modalities.

File 3: qst_pain_metadata.csv
This metadata file includes 107 subjects with five columns. The first column lists subject IDs consistent with files 1 and 2. The second column provides age in years. Columns 3 through 5 contain categorical variables: “Sex” (1 = male, 2 = female), “QST_areal_1hand2foot” indicating the body area tested (hand or foot), and “Side_of_capsaicin_1l2r” indicating the body side where capsaicin sensitization was applied.

All data are anonymized and formatted for reproducibility and secondary analysis. This dataset supports research on pain mechanisms, model validation, and translational pain biomarker development.
DOI: 10.17632/9v8ndhctvz.1
title: Quantitative sensory testing and classical pain model dataset in 127 healthy volunteers with and without capsaicin sensitization

description: This dataset contains comprehensive quantitative sensory testing (QST) and classical experimental pain model data collected from healthy adult volunteers in both untreated (control) and capsaicin-sensitized conditions. The data were generated using a standardized QST battery developed by the German Research Network on Neuropathic Pain, as well as a series of traditional pain tests (mechanical, thermal, electrical, and chemical). Each file provides detailed sensory and pain response profiles, including raw measurements and processed parameters (e.g., z-scores, medians, and VAS ratings).

File overview:

File 1: qst_pain_data_orig.csv
This file contains the original raw data matrix with 127 rows (subjects) and 23 columns (variables). The first column ("ID") lists arbitrary subject identifiers. Columns 2 through 23 include various pain sensitivity measures derived from both the standardized quantitative sensory testing (QST) battery and classical experimental pain models, covering mechanical, thermal (contact heat and cold, Laser heat), electrical, and chemical (intanasally applied gaseous carbon dioxide) stimuli.

File 2: qst_pain_data_transformed.csv
This file contains the same 127 subjects and 23 variables as file 1, but with data subjected to basic transformations for analysis consistency. Transformations include sign inversion for variables where higher values indicate greater pain sensitivity (e.g., TSACold, CO2VAS, LaserVAS, CDT, CPT, MPS, WUR, VDT, DMA), conversion of blunt pressure units from N/cm² to kilopascals (kPa), and log-transformation following psychophysical scaling laws. These adjustments harmonize the direction and scale of pain sensitivity measures across modalities.

File 3: qst_pain_metadata.csv
This metadata file includes 107 subjects with five columns. The first column lists subject IDs consistent with files 1 and 2. The second column provides age in years. Columns 3 through 5 contain categorical variables: “Sex” (1 = male, 2 = female), “QST_areal_1hand2foot” indicating the body area tested (hand or foot), and “Side_of_capsaicin_1l2r” indicating the body side where capsaicin sensitization was applied.

All data are anonymized and formatted for reproducibility and secondary analysis. This dataset supports research on pain mechanisms, model validation, and translational pain biomarker development.
DOI: 10.15468/dl.tmyykc
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neoregelia nivea Leme"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021889-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15601066
title: AI For Continuous Intentional Learning Habits In University Students
DOI: 10.5281/zenodo.15601067
title: AI For Continuous Intentional Learning Habits In University Students
DOI: 10.15468/dl.9jzfgc
title: Occurrence Download

description: A dataset containing 1292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteropus giganteus (Brünnich, 1782)"
 ]
}

 The dataset includes 1292 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022366-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60686/t-fsd3912
title: FSD3912 Interviews with Burlesque Performers 2020-2021
DOI: 10.60686/t-fsd3933
title: FSD3933 Citizens' opinion: Polarisation of Political Attitudes and Filter Bubbles 2022
DOI: 10.15468/dl.2htq8d
title: Occurrence Download

description: A dataset containing 5640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Oceania, Asia)",
 "TaxonKey is Crocodylus johnstoni Krefft, 1873"
 ]
}

 The dataset includes 5640 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014698-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/usctheses-ouc11399limg
title: DESIGN, FABRICATION, AND CHARACTERIZATION OF MULTISTATE SEMICONDUCTOR DEVICES FOR ADVANCED MEMORY TECHNOLOGIES
DOI: 10.25549/usctheses-ouc11399limk
title: Exploring Multi-layer Security from Hardware, Machine Learning, to System
DOI: 10.15468/dl.m5fzvu
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nosophora semitritalis"
 ]
}

 The dataset includes 365 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025266-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28508846.v1
title: Appendix – Detailed Summary of Reviewed Articles.xlsx

description: This dataset contains a comprehensive content matrix of the articles reviewed in the systematic literature review (SLR) entitled "Enhancing English Language Learning and User Experience in Virtual Environments: A Systematic Review on Gamification and Personalised Learning". The matrix includes:<br>Article metadata (title, authors, publication year).<br>✔ UX factors analyzed in the studies.<br>✔ Gamification and personalisation elements integrated into VLEs.<br>✔ Educational outcomes related to ELT.<br>✔ Key findings and conclusions from each study.<br>This dataset aims to enhance transparency and replicability by providing structured information about the reviewed studies. It can be useful for researchers and educators exploring the intersection of educational technology, second language acquisition, and digital learning strategies.
DOI: 10.15468/dl.af97b7
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poortmannia speciosa Drake"
 ]
}

 The dataset includes 134 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022072-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.th7swq
title: Occurrence Download

description: A dataset containing 63895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material sample, Material citation, Fossil, Specimen, Living Specimen, Occurrence evidence, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophaetus occipitalis (Daudin, 1800)"
 ]
}

 The dataset includes 63895 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021851-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppg4ct
title: Occurrence Download

description: A dataset containing 3957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Machine Observation)",
 "TaxonKey is Hydrilla verticillata"
 ]
}

 The dataset includes 3957 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025623-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15547305
title: Thermal Proteome Profile of E. coli treated with a metabolite - UCR
DOI: 10.5281/zenodo.15547306
title: Thermal Proteome Profile of E. coli treated with a metabolite - UCR
DOI: 10.26188/29226188
title: Classifying unknown repeat families in the Northern krill genome using Terrier

description: This takes the <code>Unknown</code> sequences in the repeat library for Northern krill and classifies them using Terrier at thresholds of 0.7 and 0.9.See more information in this paper:<br>Unneberg, P., Larsson, M., Olsson, A. <i>et al.</i> Ecological genomics in the Northern krill uncovers loci for local adaptation across ocean basins. <i>Nat Commun</i> <b>15</b>, 6297 (2024). https://doi.org/10.1038/s41467-024-50239-7<br>Derived from:<br>Wallberg, Andreas; Unneberg, Per (2024). 3. Ecological genomics of the Northern krill: Genome assembly annotations (genes and repeats). Uppsala University. Dataset. https://doi.org/10.17044/scilifelab.22786925.v1
DOI: 10.26188/29226188.v1
title: Classifying unknown repeat families in the Northern krill genome using Terrier

description: This takes the <code>Unknown</code> sequences in the repeat library for Northern krill and classifies them using Terrier at thresholds of 0.7 and 0.9.See more information in this paper:<br>Unneberg, P., Larsson, M., Olsson, A. <i>et al.</i> Ecological genomics in the Northern krill uncovers loci for local adaptation across ocean basins. <i>Nat Commun</i> <b>15</b>, 6297 (2024). https://doi.org/10.1038/s41467-024-50239-7<br>Derived from:<br>Wallberg, Andreas; Unneberg, Per (2024). 3. Ecological genomics of the Northern krill: Genome assembly annotations (genes and repeats). Uppsala University. Dataset. https://doi.org/10.17044/scilifelab.22786925.v1