cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17541525
title: Perception versus Actual Weight: Body Image Dissatisfaction as a Stronger Correlate of Anxiety and Depression than BMI among Romanian Health Sciences Students

description: Background: The high prevalence of anxiety and depression among young adults constitutes a significant public health concern, with body image identified as a key psychological factor. However, the interplay between subjective metrics (perceived body image) and objective measures (Body Mass Index,) remains insufficiently explored within specific populations, such as health sciences students in Eastern Europe. Methods: An observational, cross-sectional study was conducted on a sample of 137 medical and nursing students from a Romanian university. Validated instruments were employed: the Hospital Anxiety and Depression Scale (HADS) and the Eating Disorder Examination Questionnaire (EDE-Q). BMI was calculated from self-reported height and weight. Spearman’s correlation analyses and Mann-Whitney U tests were performed. Results: Subjective body image concerns, particularly those related to shape, weight, and eating, were found to be positively and significantly correlated with symptoms of anxiety and depression (all p<0.05). In contrast, BMI exhibited no significant correlation with either of the HADS subscales. Although nursing students presented a higher mean BMI, no significant differences were recorded between the student groups with respect to psychological symptoms or body image concerns. Conclusions: Subjective dissatisfaction with body image is a more salient correlate of emotional distress than objective body mass in this cohort. Although the sample size was moderate, the observed associations were robust and statistically significant, underscoring the importance of subjective body image over objective metrics such as BMI in this academic population. These findings underscore the necessity for mental health interventions within university settings to focus on the perceptual and cognitive-affective aspects of body image, rather than exclusively on weight management.
DOI: 10.5281/zenodo.17541524
title: Perception versus Actual Weight: Body Image Dissatisfaction as a Stronger Correlate of Anxiety and Depression than BMI among Romanian Health Sciences Students

description: Background: The high prevalence of anxiety and depression among young adults constitutes a significant public health concern, with body image identified as a key psychological factor. However, the interplay between subjective metrics (perceived body image) and objective measures (Body Mass Index,) remains insufficiently explored within specific populations, such as health sciences students in Eastern Europe. Methods: An observational, cross-sectional study was conducted on a sample of 137 medical and nursing students from a Romanian university. Validated instruments were employed: the Hospital Anxiety and Depression Scale (HADS) and the Eating Disorder Examination Questionnaire (EDE-Q). BMI was calculated from self-reported height and weight. Spearman’s correlation analyses and Mann-Whitney U tests were performed. Results: Subjective body image concerns, particularly those related to shape, weight, and eating, were found to be positively and significantly correlated with symptoms of anxiety and depression (all p<0.05). In contrast, BMI exhibited no significant correlation with either of the HADS subscales. Although nursing students presented a higher mean BMI, no significant differences were recorded between the student groups with respect to psychological symptoms or body image concerns. Conclusions: Subjective dissatisfaction with body image is a more salient correlate of emotional distress than objective body mass in this cohort. Although the sample size was moderate, the observed associations were robust and statistically significant, underscoring the importance of subjective body image over objective metrics such as BMI in this academic population. These findings underscore the necessity for mental health interventions within university settings to focus on the perceptual and cognitive-affective aspects of body image, rather than exclusively on weight management.
DOI: 10.15468/dl.mcmdkv
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Primulina longicalyx"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019478-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27p6se
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Cordyceps"
 ]
}

 The dataset includes 271 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019479-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcctys
title: Occurrence Download

description: A dataset containing 6411751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "DatasetKey is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 6411751 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019456-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55jy8q
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paragobiodon modestus"
 ]
}

 The dataset includes 301 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019482-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckh47t
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Primulina baishouensis"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019483-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15848842
title: Dataset for "A comprehensive study of Surface Water and Ocean Topography Pixel Cloud data for flood extent extraction"

description: General
This dataset is used to reproduce the results of the associated publication cited below. It is composed of Surface Water and Ocean Topography (SWOT) satellite Pixel Cloud data processed as raster files with auxiliary data used for reproducing the data.

 

Each zip files contains data that must be unzipped in the associated folder of the github repository examples' folder.

Associated publications

The initial paper in which this dataset was used is:



Q. Bonassies, C. Fatras, S. Pena-Luque, P. Dubois, A. Piacentini, L. Cassan, S. Ricci, T.-H. Nguyen (2026). A comprehensive study of Surface Water and Ocean Topography Pixel Cloud data for flood extent extraction. https://doi.org/10.1016/j.rse.2025.115101


This version v1.0 should allow reproducing the results of that paper with the associated github repository (https://github.com/quentinbns/swot_for_flood).
DOI: 10.5281/zenodo.15848841
title: Dataset for "A comprehensive study of Surface Water and Ocean Topography Pixel Cloud data for flood extent extraction"

description: General
This dataset is used to reproduce the results of the associated publication cited below. It is composed of Surface Water and Ocean Topography (SWOT) satellite Pixel Cloud data processed as raster files with auxiliary data used for reproducing the data.

 

Each zip files contains data that must be unzipped in the associated folder of the github repository examples' folder.

Associated publications

The initial paper in which this dataset was used is:



Q. Bonassies, C. Fatras, S. Pena-Luque, P. Dubois, A. Piacentini, L. Cassan, S. Ricci, T.-H. Nguyen (2026). A comprehensive study of Surface Water and Ocean Topography Pixel Cloud data for flood extent extraction. https://doi.org/10.1016/j.rse.2025.115101


This version v1.0 should allow reproducing the results of that paper with the associated github repository (https://github.com/quentinbns/swot_for_flood).
DOI: 10.15468/dl.7y7hem
title: Occurrence Download

description: A dataset containing 14735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.30025 43.19015,2.25375 43.18837,2.21445 43.1618,2.24039 43.12176,2.29613 43.12138,2.32241 43.16042,2.30025 43.19015))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14735 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019481-251025141854904/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.30551177
title: Probablistic mapping of seismic regime instability hotspots for risk assessment and early warning

description: This study explores global patterns of seismic regime transitions using a probabilistic and topological framework, emphasizing fault zone differences in earthquake dynamics. To characterize these shifts, we apply Topological Data Analysis (TDA) to geocoded earthquake time series, identifying robust regime clusters via persistent homology. Markov transition matrices are then used to quantify the likelihood of fault zones moving between regimes, with off-diagonal probabilities serving as indicators of seismic instability.
DOI: 10.6084/m9.figshare.30551177.v1
title: Probablistic mapping of seismic regime instability hotspots for risk assessment and early warning

description: This study explores global patterns of seismic regime transitions using a probabilistic and topological framework, emphasizing fault zone differences in earthquake dynamics. To characterize these shifts, we apply Topological Data Analysis (TDA) to geocoded earthquake time series, identifying robust regime clusters via persistent homology. Markov transition matrices are then used to quantify the likelihood of fault zones moving between regimes, with off-diagonal probabilities serving as indicators of seismic instability.
DOI: 10.13140/rg.2.2.30640.21767
title: Renzo Ardiccioni CURRICULUM VITAE français
DOI: 10.25399/unisadata.30551117
title: Derived Data and Extended Tables: TIMSS 2023 South Africa–Singapore Mathematics Comparison

description: This dataset contains derived statistical summaries comparing Grade 5 mathematics performance in South Africa and Grade 4 performance in Singapore using TIMSS 2023 data. It includes mean scale scores, cross-domain differences, and estimated effect sizes across content (numbers, measurement, geometry, data) and cognitive (knowing, applying, and reasoning) domains. Supplementary materials include variable definitions and extended methodological notes.
DOI: 10.25399/unisadata.30551117.v1
title: Derived Data and Extended Tables: TIMSS 2023 South Africa–Singapore Mathematics Comparison

description: This dataset contains derived statistical summaries comparing Grade 5 mathematics performance in South Africa and Grade 4 performance in Singapore using TIMSS 2023 data. It includes mean scale scores, cross-domain differences, and estimated effect sizes across content (numbers, measurement, geometry, data) and cognitive (knowing, applying, and reasoning) domains. Supplementary materials include variable definitions and extended methodological notes.
DOI: 10.25399/unisadata.30551066.v1
title: Road Damage Detection Dataset (RDD2022-Roadroid images)

description: *"We evaluate our model on a Roadroid-derived test set (N=489 images) containing four damage classes annotated in YOLO format. The dataset, openly available under CC-BY 4.0. Also included in is the RDD2022_India dataset.
DOI: 10.25399/unisadata.30551066
title: Road Damage Detection Dataset (RDD2022-Roadroid images)

description: *"We evaluate our model on a Roadroid-derived test set (N=489 images) containing four damage classes annotated in YOLO format. The dataset, openly available under CC-BY 4.0. Also included in is the RDD2022_India dataset.
DOI: 10.15468/dl.dywerq
title: Occurrence Download

description: A dataset containing 925 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polyrhachis armata"
 ]
}

 The dataset includes 925 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019487-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25399/unisadata.30550940
title: Related Reserarch Data

description: Related research data.
DOI: 10.25399/unisadata.30550940.v1
title: Related Reserarch Data

description: Related research data.
DOI: 10.17026/ls/h5mfeh
title: WaterLANDS WP1.5: Database on the effects of wetlands restoration in Europe

description: Empirical database on biodiversity indicators, GHG fluxes and carbon stocks in restored wetlands in Europe.
DOI: 10.25399/unisadata.30550901
title: Mapping the Models of Employee Satisfaction in Health-related Professions: A Bibliometric Analysis of Organisational Climate and Interactive Demographics

description: Mapping the Models of Employee Satisfaction in Health-related Professions: A Bibliometric Analysis of Organisational Climate and Interactive Demographics.
DOI: 10.25399/unisadata.30550901.v1
title: Mapping the Models of Employee Satisfaction in Health-related Professions: A Bibliometric Analysis of Organisational Climate and Interactive Demographics

description: Mapping the Models of Employee Satisfaction in Health-related Professions: A Bibliometric Analysis of Organisational Climate and Interactive Demographics.
DOI: 10.25549/usctheses-ouc11399m7k8
title: From User Insights to Standards: Developing Open-Source Tools for Haptic Research and Design
DOI: 10.5281/zenodo.17541000
title: Multiplatform computing of transition probabilities in Os V

description: Supplement materials of a paper submitted to Atoms entitled 'Multiplatform computing of transition probabilities in Os V'.

Abstract:

Osmium is the element of the Periodic Table with the atomic number Z equal to 76. In Tokamaks with divertors made of tungsten (Z=74), it will be produced in the neutron-induced transmutation of the latter. Therefore one can expect that their sputtering may generate ionic impurities of all possible charge states in the fusion plasma. As a consequence, these could contribute to radiation losses in these controlled nuclear devices. The knowledge of radiative rates in all the spectra of osmium is thus important in this field. In this framework, a multiplatform approach has been used to determine the Os~V radiative properties and estimate their accuracy. The transition probabilities have been computed for the 2677 electric dipole (E1) transitions falling in the spectral range from 400 Angstrom to 12000 Angstrom. Three independent atomic structure models have been considered; one based on the fully relativistic \textit{ab initio} multiconfiguration Dirac-Hartree-Fock (MCDHF) method and two based on the semi-empirical pseudo-relativistic Hartree-Fock (HFR) method.

Key words: Atomic structure; Transition probabilities; Os V spectrum

File description:

Table 3: Transition probabilities for all E1 transitions between all known levels in Os V (0.228 MB MS Excel Table)
DOI: 10.25399/unisadata.30550844
title: Hybrid GNN-RNN Model for Cardiomyocyte Differentiation Prediction

description: This contains datasets used in the development of a hybrid GNN-RNN framework for cardiomyocyte differentiationA state-of-the-art deep learning framework that combines Graph Neural Networks (GNN) and Recurrent Neural Networks (RNN) for predicting cardiomyocyte differentiation trajectories. This project integrates <b>spatial multi-omics data</b> (spatial transcriptomics) with temporal gene expression patterns to achieve superior classification performance and biological interpretability(<b>96.67% accuracy</b>).Files
DOI: 10.25399/unisadata.30550844.v1
title: Hybrid GNN-RNN Model for Cardiomyocyte Differentiation Prediction

description: This contains datasets used in the development of a hybrid GNN-RNN framework for cardiomyocyte differentiationA state-of-the-art deep learning framework that combines Graph Neural Networks (GNN) and Recurrent Neural Networks (RNN) for predicting cardiomyocyte differentiation trajectories. This project integrates <b>spatial multi-omics data</b> (spatial transcriptomics) with temporal gene expression patterns to achieve superior classification performance and biological interpretability(<b>96.67% accuracy</b>).Files
DOI: 10.25399/unisadata.30550793
title: DATA-DRIVEN CHARACTERISATION OF LANDFORMS AND SUBSURFACE STRUCTURAL MAPPING USING REMOTE SENSING AND RANDOM FOREST IN THE DEMOCRATIC REPUBLIC OF CONGO

description: This study aimed to evaluate the effectiveness of the Random Forest (RF) algorithm and remotely sensed datasets in modelling landforms and subsurface geological structures in the Kolwezi Region of the Democratic Republic of Congo (DRC). Ten (10) controlling parameters (i.e., topographic, hydrologic, slope, geological) were selected for this study. Landforms and subsurface structures were modelled using RF and Aster dataset. The prediction performance of RF model was validated using the area under curve (AUC) and the receiver operating characteristic (ROC), respectively. The RF yield an AUC of 0.7819 and an accuracy of 78 %, confirming its effectiveness. The results reveal strong correlations between geomorphological features and subsurface structures, showing that RF is a reliable tool for understanding surface–subsurface interactions.
DOI: 10.25399/unisadata.30550793.v1
title: DATA-DRIVEN CHARACTERISATION OF LANDFORMS AND SUBSURFACE STRUCTURAL MAPPING USING REMOTE SENSING AND RANDOM FOREST IN THE DEMOCRATIC REPUBLIC OF CONGO

description: This study aimed to evaluate the effectiveness of the Random Forest (RF) algorithm and remotely sensed datasets in modelling landforms and subsurface geological structures in the Kolwezi Region of the Democratic Republic of Congo (DRC). Ten (10) controlling parameters (i.e., topographic, hydrologic, slope, geological) were selected for this study. Landforms and subsurface structures were modelled using RF and Aster dataset. The prediction performance of RF model was validated using the area under curve (AUC) and the receiver operating characteristic (ROC), respectively. The RF yield an AUC of 0.7819 and an accuracy of 78 %, confirming its effectiveness. The results reveal strong correlations between geomorphological features and subsurface structures, showing that RF is a reliable tool for understanding surface–subsurface interactions.
DOI: 10.14278/rodare.4081
title: Water electrolyzer recycling: development of fine particle separation processes for HTEL considering the effect of modifying reagents (RAW data of the Master Thesis)

description: The files contain the raw data of the following Master Thesis:

Subrina Islam

Water electrolyzer recycling: development of fine particle separation processes for HTEL considering the effect of modifying reagents

DEGREE PROGRAMME EMJM PROMISE<br>
Erasmus Mundus Joint Master in Sustainable Mineral and Metal Processing Engineering

Date of submission: 2024-06-11
DOI: 10.14278/rodare.4080
title: Water electrolyzer recycling: development of fine particle separation processes for HTEL considering the effect of modifying reagents (RAW data of the Master Thesis)

description: The files contain the raw data of the following Master Thesis:

Subrina Islam

Water electrolyzer recycling: development of fine particle separation processes for HTEL considering the effect of modifying reagents

DEGREE PROGRAMME EMJM PROMISE<br>
Erasmus Mundus Joint Master in Sustainable Mineral and Metal Processing Engineering

Date of submission: 2024-06-11
DOI: 10.15468/dl.26wtg9
title: Occurrence Download

description: A dataset containing 362621 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 one of (Melilotus sulcatus, Onosma roussaei, Onosma briquetii, Onosma cassia, Lomatia arborescens, Cyphocarpus innocuus, Corchorus tridens, Elaeocarpus holopetalus, Elaeocarpus obovatus, Carlina frigida, Carlina involucrata, Carlina racemosa, Jurinea turcica, Pleurocarpaea denticulata, Hydrocotyle muscosa, Thryptomene kochii, Thryptomene strongylophylla, Eragrostis dielsii, Ectadium virgatum, Schoenus graciliculmis, Lasiopetalum compactum, Petrophile rigida, Haworthia variegata, Leucopogon pulchellus, Aurinia corymbosa, Hydrocotyle spinulifera, Quercus schneideri, Triodia intermedia, Triodia salina, Melilotus elegans, Lasiopetalum rufum, Quercus subconvexa, Stackhousia nuda, Eragrostis attenuata, Eragrostis bicolor, Onosma discedens, Jurinea pulchella, Polygala sinisica, Hydrocotyle capillaris, Thryptomene velutina, Quercus fontqueri, Quercus infectoria, Thryptomene caduca, Leucopogon virgatus, Leucopogon rubricaulis, Leucopogon apiculatus, Melilotus serratifolius, Onosma angustissima, Onosma echinata, Polygala ludwigiana, Polygala mossii, Polygala gracilenta, Scaevola densifolia, Scaevola collina, Schoenus calcatus, Lasiopetalum cenobium, Carlina hispanica, Carlina libanotica, Jurinea fontqueri, Athanasia flexuosa, Athanasia microphylla, Athanasia scabra, Lasiopetalum floribundum, Thryptomene australis, Phillyrea latifolia, Eragrostis intermedia, Eragrostis lehmanniana, Eragrostis petraea, Triodia glabra, Schoenus prophyllus, Petrophile trifurcata, Polygala tepperi, Hydrocotyle cryptocarpa, Leucopogon prolatus, Polygala microphylla, Polygala seminuda, Quoya cuneata, Schoenus cuspidatus, Schoenus tenuissimus, Schoenus megacarpus, Lasiopetalum venustum, Quercus suber, Stackhousia umbellata, Mesogramma apiifolium, Hydrocotyle chamaemorus, Quercus perpallida, Haworthia calva, Leucopogon gibbosus, Onosma sulaimaniaca, Onosma pygmaea, Onosma pseudoarenaria, Onosma armena, Onosma cyrenaica, Onosma halophila, Onosma cappadocica, Polygala pappeana, Sphaerolobium fornicatum, Condalia correllii, Condalia globosa, Hydrocotyle pusilla)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 362621 records from 907 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019469-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.