cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nbjmxtpkbt
title: Raw data_ Impact of Exposure Patterns on Body Temperature in Rats Subjected to 915 MHz Radiofrequency Radiation

description: This dataset contains body temperature measurements collected from rats exposed to 915 MHz radiofrequency (RF) electromagnetic fields under continuous and intermittent exposure patterns. Rectal and interscapular temperatures were recorded at multiple time points during exposure. The dataset supports the findings presented in the associated manuscript submitted to Journal of Thermal Biology, which investigates thermal responses based on specific absorption rate (SAR) and exposure mode. Data are provided in Microsoft Excel format, including group-wise averages, individual measurements, and statistical comparisons.
DOI: 10.17632/nbjmxtpkbt.1
title: Raw data_ Impact of Exposure Patterns on Body Temperature in Rats Subjected to 915 MHz Radiofrequency Radiation

description: This dataset contains body temperature measurements collected from rats exposed to 915 MHz radiofrequency (RF) electromagnetic fields under continuous and intermittent exposure patterns. Rectal and interscapular temperatures were recorded at multiple time points during exposure. The dataset supports the findings presented in the associated manuscript submitted to Journal of Thermal Biology, which investigates thermal responses based on specific absorption rate (SAR) and exposure mode. Data are provided in Microsoft Excel format, including group-wise averages, individual measurements, and statistical comparisons.
DOI: 10.17632/j2cpmvcfyk.1
title: Foreign Direct Investment, Institutions and Export Diversification

description: This data set is compiled to analyze how the relationship between FDI and export diversification is influenced by institutional quality. The sources are the UNCTAD database, the World Bank’s world development indicator, the university of Gothenburg’s quality of governance database and the Heritage Foundation.
DOI: 10.17632/48652d88xm.1
title: Normative values for Sargeant Vertical Jump test in Indian Population aged 18 to 23 Years

description: The Sargent Vertical Jump Test (VJT) is one of the widely used tests for the
measurement of lower limb explosive power and anaerobic performance.
Although it's used all over the world, till date there is no established
“NORMATIVE VALUE FOR SARGENT VERTICAL JUMP TEST IN
INDIAN POPULATION AGED 18 TO 23 YEARS”. This age group consists
of college students and hence is an important group for fitness testing. While
there are some international researches that have yielded norm values for
vertical jumping performance, as with one for the Chinese, such values would
not necessarily describe the physicality and performance capacities of Indian
persons based on ethnic, environmental, and lifestyle disparities.

Considering this deficiency, the current study proposes to derive normative
values for the Sargent Vertical Jump Test particularly for Indian men and
women between the ages of 18 and 23 years.
DOI: 10.17632/rpzv9k5s49.1
title: Supplementary Material - Global Research Trends in Photocatalytic Degradation of Microplastics: A Bibliometric Perspective

description: The supplementary material for the article “Global Research Trends in Photocatalytic Degradation of Microplastics: A Bibliometric Perspective” includes essential resources that support and enhance the study’s findings. It features a detailed search string used to retrieve relevant literature and a comprehensive R script designed to systematically merge bibliometric data from the Web of Science (WoS) Core Collection and Scopus databases.
Additionally, Table S1 presents data on annual scientific output and the corresponding mean total citations per year, while Table S2 provides an in-depth analysis of leading authors, institutions, and contributing countries. The supplementary materials include Figure S1, a word cloud visualization highlighting key research themes, and Figure S2, illustrating the global collaboration density among authors.
These resources collectively offer deeper insights into the study’s bibliometric analysis, ensuring transparency and reproducibility.
DOI: 10.17632/rpzv9k5s49.2
title: Supplementary Materials - Global Research Trends in Photocatalytic Degradation of Microplastics: A Bibliometric Perspective

description: The supplementary materials accompanying the article "Global Research Trends in Photocatalytic Degradation of Microplastics: A Bibliometric Perspective" enhance the study's transparency, reproducibility, and academic significance. These materials comprise a meticulously detailed PRISMA 2020 Checklist, which systematically records the review's compliance with established reporting standards. This checklist encompasses critical components such as the search strategy, eligibility criteria, synthesis methods, and data availability. 
It is essential to note that this work represents a bibliometric review, diverging from traditional health-focused systematic reviews. Consequently, certain items within the PRISMA framework – specifically those pertaining to risk of bias assessment, protocol registration, and meta-analysis – are deemed inapplicable to this study. The checklist explicitly acknowledges and contextualizes these exceptions to uphold methodological transparency. 
In addition to the PRISMA checklist, the supplementary materials include a custom R-script designed to automate merging and deduplicating bibliographic data obtained from the Web of Science (WoS) Core Collection and Scopus databases. This tool significantly aids in ensuring reproducibility during the data processing phase of large-scale bibliometric analyses. To further enrich the depth of analysis provided in the main article, several supplementary tables and figures are included: 
-Table S1: This table documents the annual scientific output and average total citations per year, elucidating temporal trends in research activity within the field. 
-Table S2: This table offers a comprehensive overview of the most productive authors, institutions, and countries contributing to research on photocatalytic degradation of microplastics. 
-Figure S1: A word cloud visualization detailing the most frequently used keywords in the literature, providing insights into the evolution of research themes and focus areas over time. 
-Figure S2: A global collaboration network map illustrating the density and breadth of international research partnerships within the field. 
Collectively, these supplementary materials establish a robust foundation for transparency and facilitate future replication efforts. They deliver substantial value to researchers engaged in environmental science, materials chemistry, and strategies for mitigating plastic pollution. Moreover, they complement the findings articulated in the main text and serve as a vital resource for advancing bibliometric methodologies within interdisciplinary sustainability research.
DOI: 10.17632/rpzv9k5s49.3
title: Supplementary Materials - Global Research Trends in Photocatalytic Degradation of Microplastics: A Bibliometric Perspective

description: The supplementary materials accompanying the article "Global Research Trends in Photocatalytic Degradation of Microplastics: A Bibliometric Perspective" enhance the study's transparency, reproducibility, and academic significance. These materials comprise a meticulously detailed PRISMA 2020 Checklist, which systematically records the review's compliance with established reporting standards. This checklist encompasses critical components such as the search strategy, eligibility criteria, synthesis methods, and data availability. 
It is essential to note that this work represents a bibliometric review, diverging from traditional health-focused systematic reviews. Consequently, certain items within the PRISMA framework – specifically those pertaining to risk of bias assessment, protocol registration, and meta-analysis – are deemed inapplicable to this study. The checklist explicitly acknowledges and contextualizes these exceptions to uphold methodological transparency. 
The supplementary materials also list all 204 research articles used for the bibliometric analysis. Additionally, it includes a custom R-script designed to automate merging and deduplicating bibliographic data obtained from the Web of Science (WoS) Core Collection and Scopus databases. This tool significantly aids in ensuring reproducibility during the data processing phase of large-scale bibliometric analyses. To further enrich the depth of analysis provided in the main article, several supplementary tables and figures are included: 
-Table S1: This table documents the annual scientific output and average total citations per year, elucidating temporal trends in research activity within the field. 
-Table S2: This table offers a comprehensive overview of the most productive authors, institutions, and countries contributing to research on photocatalytic degradation of microplastics. 
-Figure S1: A word cloud visualization detailing the most frequently used keywords in the literature, providing insights into the evolution of research themes and focus areas over time. 
-Figure S2: A global collaboration network map illustrating the density and breadth of international research partnerships within the field. 
Collectively, these supplementary materials establish a robust foundation for transparency and facilitate future replication efforts. They deliver substantial value to researchers engaged in environmental science, materials chemistry, and strategies for mitigating plastic pollution. Moreover, they complement the findings articulated in the main text and serve as a vital resource for advancing bibliometric methodologies within interdisciplinary sustainability research.
DOI: 10.17632/m7vmhjbktv.1
title: Tribology dataset: Fe-Cr Composite Coatings Wear Analysis SEM Images and Friction Data

description: This dataset comprises 500 high-resolution SEM micrographs of Fe-Cr composite coatings after ball-on-disk wear tests, along with matched friction-coefficient time-series CSV files for each class (0–4). It supports automated wear-pattern classification using deep learning and quantifies tribological behavior under controlled conditions (20 N load, 100 RPM, 1000 m sliding distance) .
DOI: 10.15151/esrf-es-2049635118
title: The Institute of Structural and Molecular Biology (ISMB) application for beam time, comprising groups from Birkbeck College, UCL and the Que

description: The ISMB spans Birkbeck and UCL with researchers in the core Departments at Birkbeck Natual Sciences and several UCL Research Departments.
Research groups from Queen Mary University of London (QMUL) are joint co-applicants as they have strong links and collaborations with groups from ISMB.
All groups share common interests in disciplines including structural, chemical, molecular and cell biology; using multidisciplinary and multiscalar approaches.
ISMB, UCL and QMUL investigators, ranging from early-career research fellows to internationally-established senior academics, apply X-ray crystallography
carried out mainly at our Wellcome funded facility at Birkbeck, as an essential method enabling: i) description of the atomic level mechanistic details of macromolecules and macromolecular machines, and ii) structure-based drug discovery, iii) interdisciplinary structural biology projects mainly with cryoelectron microscopy (cryo-EM).
DOI: 10.17632/dys848xvgb
title: R Scripts for Full-Spectrum Analysis with Machine Learning Framework for Quantitative Assessment of SARS-CoV-2 Lateral Flow Immunoassays

description: This dataset contains R scripts for spectral data processing and machine learning model development used in the study "Integrated Full-Spectrum Analysis with Machine Learning Framework for Quantitative Assessment of Lateral Flow Immunoassays: Application to SARS-CoV-2 Detection." 

The scripts enable the processing of visible-range spectral data (400-700 nm) from lateral flow immunoassays and the development of machine learning models for quantitative analysis. The repository includes:

1. Spectral preprocessing scripts for noise reduction (Savitzky-Golay filtering), standard normal variate (SNV) transformation, and principal component analysis.

2. Machine learning model development scripts for training and evaluating five algorithms: polynomial regression, partial least squares regression, support vector regression, random forest, and gradient boosting.

3. Dual-channel normalization methods implementing both differential (T-C) and ratio (T/C) spectral analyses.

These tools support the transformation of qualitative lateral flow tests into quantitative analytical tools by extracting meaningful patterns from spectral data of gold nanoparticle immunocomplexes. While the raw clinical data cannot be shared due to patient confidentiality restrictions, these scripts facilitate the reproducibility of the analytical methodology.
DOI: 10.17632/dys848xvgb.1
title: R Scripts for Full-Spectrum Analysis with Machine Learning Framework for Quantitative Assessment of SARS-CoV-2 Lateral Flow Immunoassays

description: This dataset contains R scripts for spectral data processing and machine learning model development used in the study "Integrated Full-Spectrum Analysis with Machine Learning Framework for Quantitative Assessment of Lateral Flow Immunoassays: Application to SARS-CoV-2 Detection." 

The scripts enable the processing of visible-range spectral data (400-700 nm) from lateral flow immunoassays and the development of machine learning models for quantitative analysis. The repository includes:

1. Spectral preprocessing scripts for noise reduction (Savitzky-Golay filtering), standard normal variate (SNV) transformation, and principal component analysis.

2. Machine learning model development scripts for training and evaluating five algorithms: polynomial regression, partial least squares regression, support vector regression, random forest, and gradient boosting.

3. Dual-channel normalization methods implementing both differential (T-C) and ratio (T/C) spectral analyses.

These tools support the transformation of qualitative lateral flow tests into quantitative analytical tools by extracting meaningful patterns from spectral data of gold nanoparticle immunocomplexes. While the raw clinical data cannot be shared due to patient confidentiality restrictions, these scripts facilitate the reproducibility of the analytical methodology.
DOI: 10.15468/dl.gyzspf
title: Occurrence Download

description: A dataset containing 1645199 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Eremophila alpestris (Linnaeus, 1758)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 1645199 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019858-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrd22h
title: Occurrence Download

description: A dataset containing 803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.19666 35.91512,29.19666 35.91512,29.19666 50.08488,-6.19666 50.08488,-6.19666 35.91512))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salamandrina perspicillata (Savi, 1821)"
 ]
}

 The dataset includes 803 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019879-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15358674
title: Advance, steadfast, retreat? Growth and establishment of white spruce seedlings at treelines in Alaska

description: Metadata and RWL data on White spruce (Picea glauca) seedlings (up to 1.5m) in Alaska for five different sites: A dry treeline and forest, a reference forest, a temperature treeline and forest. 20 seedlings per site, per sampling date. Two sampling dates: 2015 and 2022.
DOI: 10.5281/zenodo.15358675
title: Advance, steadfast, retreat? Growth and establishment of white spruce seedlings at treelines in Alaska

description: Metadata and RWL data on White spruce (Picea glauca) seedlings (up to 1.5m) in Alaska for five different sites: A dry treeline and forest, a reference forest, a temperature treeline and forest. 20 seedlings per site, per sampling date. Two sampling dates: 2015 and 2022.
DOI: 10.15468/dl.s9wjgx
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((113.98421600948228 25.352671580694278,117.98421600948228 25.352671580694278,117.98421600948228 29.352671580694278,113.98421600948228 29.352671580694278,113.98421600948228 25.352671580694278))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tragopan caboti (Gould, 1857)",
 "Year 2020-2025"
 ]
}

 The dataset includes 53 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019880-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmtu6s
title: Occurrence Download

description: A dataset containing 6078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Mozambique",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Zambezia"
 ]
}

 The dataset includes 6078 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019881-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4dqjd
title: Occurrence Download

description: A dataset containing 1195 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plantas vasculares y no vasculares. Herbario JBN del Jardín Botánico Nacional, Viña del Mar, Chile"
 ]
}

 The dataset includes 1195 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019882-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b5t3rkn5cg.1
title: Quantitative description of internal 3D structure of a geological sample using algebraic topology methods

description: This data is a result of 3d X-mCT study of a real geological sample (meimechite from the Kontozero complex) and its analysis using Minkowski functionals. File 1 is the initial X-ray Computed Tomography pattern. Files 2-5 contain 4 phases (brightness levels, X-ray density levels) on the initial pattern. They were separated by the multi-Otsu method. File 6 contains 3d scatterplots for each of the phases in the Minkowski functionals (M0-M1) volume.
DOI: 10.17632/jmb8cr5ypg.1
title: 'ULUSAL YETERLİLİK SİSTEMİNİN İNŞAAT SEKTÖRÜNDE İSTİHDAMA OLAN FARKINDALIĞININ İNCELENMESİ: ANTALYA ÖRNEĞİ' BAŞLIKLI ÇALIŞMAYA AİT VERİLER

description: Mühendis, İşveren ve İşçi anketleri ile bu anketlere ait veriler
DOI: 10.17632/8ygn9t8ghk.1
title: The Impact of Deliberate Errors on the Learning of Concrete and Abstract Concepts

description: This study addresses the core issue of learning from errors in educational psychology by innovatively examining the effects of deliberate errors under different lexical-category conditions.
DOI: 10.5281/zenodo.14203792
title: Code and data for the analysis of whole-genome sequencing of 1,060 Brettanomyces bruxellensis isolates

description: This zenodo repository contains all the codes and reference of primary and acquired genomes used in the paper "Whole-genome sequencing of 1,060 Brettanomyces bruxellensis isolates reveals significant phenotypic impact of acquired subgenomes in allopolyploids".
DOI: 10.5281/zenodo.14203793
title: Code and data for the analysis of whole-genome sequencing of 1,060 Brettanomyces bruxellensis isolates

description: This zenodo repository contains all the codes and reference of primary and acquired genomes used in the paper "Whole-genome sequencing of 1,060 Brettanomyces bruxellensis isolates reveals significant phenotypic impact of acquired subgenomes in allopolyploids".
DOI: 10.17632/p6g3d7tx97.1
title: Analysis of Isokinetic Peak Torque in Hamstrings and Quadriceps and Its Association with Flexibility and Strength in Healthy School-Aged Children

description: The present study provides valuable insight into the development of muscular strength and flexibility in healthy school aged children, specifically focusing on the hamstring and quadriceps muscle groups. Isokinetic testing revealed a clear dominance of quadriceps strength over the hamstrings across all participants, highlighting a consistent strength imbalance common in this age group. The study demonstrated that age is a significant predictor of muscle strength, with both hamstring and quadriceps strength showing strong positive correlations with increasing age. The peak torque values increased significantly with age, and the regression analysis confirmed that age accounts for a high percentage of the variability in muscle strength approximately 89% for hamstrings and 86% for quadriceps. Flexibility, as measured by the Toe Touch Test, displayed more individual variation and did not correlate as strongly with strength measures, suggesting that factors influencing flexibility may differ from those driving strength development. Furthermore, the internal consistency of isokinetic measurements was remarkably high, confirming the reliability of the BioMat Easy-Torque dynamometer in this population. These findings emphasize the importance of routine isokinetic assessment in pediatric populations to identify muscle imbalances early and to inform interventions aimed at optimizing musculoskeletal development during critical growth periods.
DOI: 10.6084/m9.figshare.28946042
title: wealth_index_of_towns_and_counties

description: High-precision and wide coverage data on rural household wealth is essential for bridging national-level rural revitalization policies with micro-level rural entities, enabling the precise allocation of public resources. However, the vast number and dispersed distribution of rural communities in China make wealth data difficult to collect and scarce in availability. To address this challenge, this study proposes an integrated technical framework that combines "sky" remote sensing imagery with "ground" village street view imagery to construct a fine-grained, computable representation of rural household wealth. Centered on the intelligent interpretation of rural housing features, we extract wealth-related visual elements from imagery and regress them against benchmark survey-based household wealth indicators to develop a high-accuracy township-level wealth prediction model (R² = 71%). This model is used to generate a nationwide, township-scale rural household wealth map. Our findings reveal a distinct “bimodal” spatial distribution of rural wealth in China, characterized by a polarization pattern: higher in the south and east, and lower in the north and west. This approach offers a scalable and cost-effective alternative to traditional household surveys, supporting the identification of rural development gaps and facilitating more targeted and effective rural policy implementation.