cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13018/bmr31191
title: Structures of small molecules bound to RNA repeat expansions that cause Huntington's disease-like 2 and myotonic dystrophy type 1
DOI: 10.13018/bmr31192
title: SET Domain of Histone-Lysine N-Methyltransferase NSD2 in Complex with Selective Inhibitor
DOI: 10.13018/bmr31193
title: Structure of the C-terminal Domain of RAGE and Its Inhibitor
DOI: 10.5281/zenodo.18787143
title: Exploring fatigue in Marfan and hypermobile Ehlers-Danlos syndromes: an analytical cross-sectional study in two Italian healthcare centres

description: Abstract



Objective: This study investigates the prevalence and underlying factors of fatigue in individuals with Marfan syndrome (MFS) and hypermobile Ehlers-Danlos syndromes (hEDS), highlighting the necessity for focused research on this symptom within these patient populations.

Design: Cross-sectional, multicentre study.

Setting: Data were collected from participants diagnosed with MFS or hEDS across multiple healthcare centres.

Participants: The study enrolled 282 participants (127 with MFS and 155 with hEDS).

Primary and secondary outcome measures: Fatigue was measured using the Fatigue Severity Scale (FSS). Additional assessments included the Patient Health Questionnaire-9 (PHQ-9) for depression and the Insomnia Severity Index (ISI) for sleep disturbances.

Results: Participants with hEDS exhibited significantly higher median fatigue scores (FSS median=5.9, IQR=5.00-6.44) compared with the MFS group (FSS median=4.0, IQR=2.88-5.00). Significant predictors of fatigue included being female, having hEDS, participating in psychotherapy, and elevated scores on depression and insomnia scales. In the overall sample, hEDS significantly predicted fatigue (B=0.430, p=0.022), with depression and insomnia as strong influencers (PHQ-9: B=0.12, p<0.001; ISI: B=0.092, p<0.001). Notably, 80% of the hEDS group reported clinically relevant fatigue levels, compared with 31.5% in the MFS group. Daily persistence of fatigue was especially pronounced in hEDS, with 72.2% reporting everyday fatigue versus 25.2% in MFS. Temporal fatigue patterns also differed, with a more evenly distributed pattern throughout the day in hEDS, correlating with higher insomnia scores.

Conclusions: The results underscore the severe impact of fatigue on individuals with hEDS compared with those with MFS, suggesting the need for targeted, multidisciplinary management strategies to enhance quality of life.

Trial registration number: NCT05712564.


Keywords: CARDIOLOGY; Fatigue; Frailty; Nursing Care.
DOI: 10.5281/zenodo.18787144
title: Exploring fatigue in Marfan and hypermobile Ehlers-Danlos syndromes: an analytical cross-sectional study in two Italian healthcare centres

description: Abstract



Objective: This study investigates the prevalence and underlying factors of fatigue in individuals with Marfan syndrome (MFS) and hypermobile Ehlers-Danlos syndromes (hEDS), highlighting the necessity for focused research on this symptom within these patient populations.

Design: Cross-sectional, multicentre study.

Setting: Data were collected from participants diagnosed with MFS or hEDS across multiple healthcare centres.

Participants: The study enrolled 282 participants (127 with MFS and 155 with hEDS).

Primary and secondary outcome measures: Fatigue was measured using the Fatigue Severity Scale (FSS). Additional assessments included the Patient Health Questionnaire-9 (PHQ-9) for depression and the Insomnia Severity Index (ISI) for sleep disturbances.

Results: Participants with hEDS exhibited significantly higher median fatigue scores (FSS median=5.9, IQR=5.00-6.44) compared with the MFS group (FSS median=4.0, IQR=2.88-5.00). Significant predictors of fatigue included being female, having hEDS, participating in psychotherapy, and elevated scores on depression and insomnia scales. In the overall sample, hEDS significantly predicted fatigue (B=0.430, p=0.022), with depression and insomnia as strong influencers (PHQ-9: B=0.12, p<0.001; ISI: B=0.092, p<0.001). Notably, 80% of the hEDS group reported clinically relevant fatigue levels, compared with 31.5% in the MFS group. Daily persistence of fatigue was especially pronounced in hEDS, with 72.2% reporting everyday fatigue versus 25.2% in MFS. Temporal fatigue patterns also differed, with a more evenly distributed pattern throughout the day in hEDS, correlating with higher insomnia scores.

Conclusions: The results underscore the severe impact of fatigue on individuals with hEDS compared with those with MFS, suggesting the need for targeted, multidisciplinary management strategies to enhance quality of life.

Trial registration number: NCT05712564.


Keywords: CARDIOLOGY; Fatigue; Frailty; Nursing Care.
DOI: 10.13018/bmr31194
title: Incorporation of dehydro-aza-proline residues in avian pancreatic polypeptide: Wild-type sequence
DOI: 10.13018/bmr31195
title: Incorporation of dehydro-aza-proline residues in avian pancreatic polypeptide: Aza-Pro substitution at position 4
DOI: 10.13018/bmr31196
title: Incorporation of dehydro-aza-proline residues in avian pancreatic polypeptide: Aza-Pro substitution at position 6
DOI: 10.13018/bmr31197
title: Incorporation of dehydro-aza-proline residues in avian pancreatic polypeptide: Aza-Pro substitution at positions 4 and 6
DOI: 10.13018/bmr31198
title: Pentameric Structure of MERS-CoV Envelope Protein Transmembrane Domain Determined by Solid-State NMR
DOI: 10.6084/m9.figshare.31423234
title: <i>Malassezia globosa</i> lipidome: The dynamics of uptake and secreted lipids

description: <i>Malassezia globosa</i> plays a crucial role as part of the human skin’s mycobiome. However, this yeast has been detected in other niches, such as the gut. Despite being commensal, the pathogenic link in several dermatological conditions, but recently, chronic diseases such as cancer, Crohn’s disease, and Parkinson’s disease, among others, have been explored. Lipids can be involved in fungal pathogenesis, and this yeast is characterized by a significant lipid metabolic versatility, with a lack of the complex fatty acid synthase (FAS) required for the de novo synthesis of fatty acids, as it relies on lipase-releasing enzymes. Here, we assess lipid dynamics (lipids consumed vs. lipids secreted) using lipidomic analysis in the supernatant of mDixon media during two growth phases. 87 lipids within 17 classes of lipids were identified in three different lipid uptake-secretion patterns. Some lipids were characteristic, including the presence of glycochenodeoxycholic acid, glycerophospholipids (such as phosphocholine), cardiolipins, and sphingolipids (such as Cer-PI). Interestingly, sterols, bile acids, cholic acid and its derivates, some phosphocholines, fatty acyls, and cardiolipins were lipids consumed over time. The dynamic consumption of these lipids could presume an intriguing role in the metabolism of lipid processes in this yeast that could determine the interaction process and its pathogenic role.
DOI: 10.6084/m9.figshare.31423234.v1
title: <i>Malassezia globosa</i> lipidome: The dynamics of uptake and secreted lipids

description: <i>Malassezia globosa</i> plays a crucial role as part of the human skin’s mycobiome. However, this yeast has been detected in other niches, such as the gut. Despite being commensal, the pathogenic link in several dermatological conditions, but recently, chronic diseases such as cancer, Crohn’s disease, and Parkinson’s disease, among others, have been explored. Lipids can be involved in fungal pathogenesis, and this yeast is characterized by a significant lipid metabolic versatility, with a lack of the complex fatty acid synthase (FAS) required for the de novo synthesis of fatty acids, as it relies on lipase-releasing enzymes. Here, we assess lipid dynamics (lipids consumed vs. lipids secreted) using lipidomic analysis in the supernatant of mDixon media during two growth phases. 87 lipids within 17 classes of lipids were identified in three different lipid uptake-secretion patterns. Some lipids were characteristic, including the presence of glycochenodeoxycholic acid, glycerophospholipids (such as phosphocholine), cardiolipins, and sphingolipids (such as Cer-PI). Interestingly, sterols, bile acids, cholic acid and its derivates, some phosphocholines, fatty acyls, and cardiolipins were lipids consumed over time. The dynamic consumption of these lipids could presume an intriguing role in the metabolism of lipid processes in this yeast that could determine the interaction process and its pathogenic role.
DOI: 10.13018/bmr31199
title: Solution structure of the translation initiation factor IF-1 from Neisseria gonorrhoeae (NCCP11945). Seattle Structural Genomics Center for Infectious Disease target NegoA.17902.a
DOI: 10.13018/bmr31200
title: ETO2 MYND bound to MPPL peptide from GATAD2A
DOI: 10.13018/bmr31202
title: NMR structures of small molecules bound to a model of an RNA CAG repeat expansion.
DOI: 10.13018/bmr31205
title: Solution NMR structure of the calcium insensitive human LETM1 F-EF-hand domain mutant in the absence of calcium
DOI: 10.13018/bmr31207
title: Backbone Modification in the Fungal Defensin Plectasin: Prototype NZ2114
DOI: 10.13018/bmr31208
title: Backbone Modification in the Fungal Defensin Plectasin: beta3-Residues in the helix
DOI: 10.13018/bmr31209
title: Backbone Modification in the Fungal Defensin Plectasin: Calpha-methyl-residues in the helix
DOI: 10.13018/bmr31210
title: Backbone Modification in the Fungal Defensin Plectasin: D- and Calpha-methyl-residues in the turns
DOI: 10.13018/bmr31211
title: Backbone Modification in the Fungal Defensin Plectasin: Calpha-methyl-residues in the helix, D- and Calpha-methyl-residues in the turns
DOI: 10.13018/bmr31212
title: Solution structure of an uncharacterized protein containing a DUF1893 domain from Borrelia burgdorferi, a pathogen responsible for Lyme disease. Seattle Structural Genomics Center for Infectious Disease target BobuA.17726.a.A1.
DOI: 10.13018/bmr31213
title: Solution structure of sigma-S-GVIIIA conotoxin extracted from Conus geographus
DOI: 10.13018/bmr31214
title: Structure of the human integrin beta2 transmembrane domain
DOI: 10.15468/dl.axgubb
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Albunea occulta"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024742-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/ap7tlm
title: Dados de caracterização morfológica, eletroquímica e eletroanalítica do sensor eletroquímico PEI-LIG

description: Caracterição Morfológica do Sensor Eletroquímico: Nestes arquivos temos os dados referentes a caracterização morfológica por Microscopia de Varredura Eletrônica (MEV), Espectroscopia Raman e Difração de Raios-X (DRX). Caracterização Eletroquímica do Sensor Eletroquímico: Os arquivos disponibilizados tem as informações das caracterizações eletroquímicas realizadas para o sensor desenvolvido. Utilizou-se a técnica de voltametria cíclica para fazer as caracterizações referentes ao estudo de velocidade utilizando Ferri/Ferrocianeto de potássio bem como o Hexaminrutênio. Foi utilizada a técnica de impedância eletroquímica para construir o gráfico de Nyquist. Caracterizações Eletroanalíticas do Sensor Eletroquímico: neste conjunto de dados temos organizado por planilhas as informações de Estudo de pH, Curvas de calibração combinada de paracetamol e cafeína, as curvas de calibração em que se varia paracetamol e mantém a cafeína na mesma concentração, o inverso também foi contemplado. A curva de calibração por adição de padrão em amostras que foram selecionadas tanto para paracetamol quanto para cafeína. O estudo de desvio padrão relativo (RSD) também está disponível Estudo dos adulterantes e de drogas de apreensão contendo cocaína: Foram realizadas análise de caracterização dos adulterantes (Cafeína, Cocaína, Paracetamol, Lidocaína, Levamisol, Fenacetina, Benzocaína e Procaína) por meio das técnicas de voltametria cíclica e voltametria de onda quadrada bem como de amostras de apreensão de cocaína fornecidas pela polícia científica do estado de São Paulo. Os dados não podem ser disponibilizados por questões de proteção intelectual. Para mais informações, contatar os responsáveis.
DOI: 10.15468/dl.up79c7
title: Occurrence Download

description: A dataset containing 14056108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14056108 records from 5683 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024729-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8dgyv8vz4h
title: Regional dust-impacted areas originating from eastern Iran identified via visual interpretation of MODIS Terra/Aqua imagery (2000–2023)

description: This dataset contains polygon features representing dust-impacted areas originating from eastern Iran and affecting parts of Southwest Asia between 2000 and 2023. Dust plumes were identified through visual interpretation of sub-daily MODIS Terra/Aqua true-color composite (RGB) imagery using NASA’s EOSDIS Worldview platform. On-screen digitizing in a Geographic Information System (GIS) environment was used to delineate the spatial extent of each dust event based on plume dispersion from identified dust hotspots.
To enhance temporal accuracy, imagery from both Terra (~10:30 local time) and Aqua (~13:30 local time) satellites was used, improving detection during daylight hours. Spatial and temporal clustering of adjacent dust hotspots was performed to group them into individual dust events. For multi-day events, the largest visible extent, captured before plume dissipation, was selected as the final footprint.
Each polygon in the dataset is linked to metadata attributes, including the date of occurrence, total affected area, and a unique event ID corresponding to the clustered dust hotspots. The data are provided in standard GIS-compatible formats and include spatiotemporal attributes suitable for environmental, climatological, and hazard-related analyses.
DOI: 10.17632/8dgyv8vz4h.2
title: Regional dust-impacted areas originating from eastern Iran identified via visual interpretation of MODIS Terra/Aqua imagery (2000–2023)

description: This dataset contains polygon features representing dust-impacted areas originating from eastern Iran and affecting parts of Southwest Asia between 2000 and 2023. Dust plumes were identified through visual interpretation of sub-daily MODIS Terra/Aqua true-color composite (RGB) imagery using NASA’s EOSDIS Worldview platform. On-screen digitizing in a Geographic Information System (GIS) environment was used to delineate the spatial extent of each dust event based on plume dispersion from identified dust hotspots.
To enhance temporal accuracy, imagery from both Terra (~10:30 local time) and Aqua (~13:30 local time) satellites was used, improving detection during daylight hours. Spatial and temporal clustering of adjacent dust hotspots was performed to group them into individual dust events. For multi-day events, the largest visible extent, captured before plume dissipation, was selected as the final footprint.
Each polygon in the dataset is linked to metadata attributes, including the date of occurrence, total affected area, and a unique event ID corresponding to the clustered dust hotspots. The data are provided in standard GIS-compatible formats and include spatiotemporal attributes suitable for environmental, climatological, and hazard-related analyses.
DOI: 10.17632/57dd4t6c37
title: Association of Triglyceride to HDL-Cholesterol ratio with Cognitive impairment among elderly people: A cross-sectional study in Southwestern Uganda

description: This dataset was generated as part of a community-based cross-sectional study conducted in Rukiga District, Southwestern Uganda, from February to March 2025. The study aimed to investigate the association between the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and cognitive impairment among elderly individuals aged 60 years and above. Our central hypothesis was that elevated TG/HDL-C ratio, a marker of metabolic dysregulation, is independently associated with cognitive impairment in older adults.

Data were collected from 272 participants selected via multistage cluster sampling. Each participant underwent a standardized cognitive assessment using the Mini-Mental State Examination (MMSE), with scores below 24 indicating cognitive impairment. In total, 183 individuals (67.3%) screened positive, with 95 having mild and 88 severe impairment.

The dataset includes variables across multiple domains: sociodemographic factors (e.g., age, gender, education level), clinical conditions (e.g., diabetes, hypertension, depression), anthropometric data (e.g., waist circumference, BMI), lifestyle behaviors (e.g., smoking, alcohol use, physical activity), and laboratory-measured serum lipid profiles (TG, HDL-C, LDL-C, TC), collected after 8–12 hours of fasting. TG/HDL-C ratio and other lipoprotein ratios were computed. Blood samples were processed using enzymatic methods on a HumaStar 200 analyzer with appropriate quality controls.

Statistical analysis included descriptive statistics, nonparametric tests, and logistic regression. Notably, a high TG/HDL-C ratio was independently associated with cognitive impairment after adjusting for confounders (aOR for highest tertile = 3.38; p = 0.031). Age, lower educational attainment, and depression were also significant predictors.

This dataset provides crucial insight into the metabolic and psychosocial determinants of cognitive impairment in a low-resource setting. It is particularly valuable for researchers exploring blood-based biomarkers for early detection of neurocognitive disorders and can inform public health interventions targeting aging populations in sub-Saharan Africa. The dataset is structured to enable both univariate and multivariate analyses and is suitable for epidemiological, clinical, or machine learning-based investigations into geriatric cognitive health.
DOI: 10.17632/57dd4t6c37.1
title: Association of Triglyceride to HDL-Cholesterol ratio with Cognitive impairment among elderly people: A cross-sectional study in Southwestern Uganda

description: This dataset was generated as part of a community-based cross-sectional study conducted in Rukiga District, Southwestern Uganda, from February to March 2025. The study aimed to investigate the association between the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and cognitive impairment among elderly individuals aged 60 years and above. Our central hypothesis was that elevated TG/HDL-C ratio, a marker of metabolic dysregulation, is independently associated with cognitive impairment in older adults.

Data were collected from 272 participants selected via multistage cluster sampling. Each participant underwent a standardized cognitive assessment using the Mini-Mental State Examination (MMSE), with scores below 24 indicating cognitive impairment. In total, 183 individuals (67.3%) screened positive, with 95 having mild and 88 severe impairment.

The dataset includes variables across multiple domains: sociodemographic factors (e.g., age, gender, education level), clinical conditions (e.g., diabetes, hypertension, depression), anthropometric data (e.g., waist circumference, BMI), lifestyle behaviors (e.g., smoking, alcohol use, physical activity), and laboratory-measured serum lipid profiles (TG, HDL-C, LDL-C, TC), collected after 8–12 hours of fasting. TG/HDL-C ratio and other lipoprotein ratios were computed. Blood samples were processed using enzymatic methods on a HumaStar 200 analyzer with appropriate quality controls.

Statistical analysis included descriptive statistics, nonparametric tests, and logistic regression. Notably, a high TG/HDL-C ratio was independently associated with cognitive impairment after adjusting for confounders (aOR for highest tertile = 3.38; p = 0.031). Age, lower educational attainment, and depression were also significant predictors.

This dataset provides crucial insight into the metabolic and psychosocial determinants of cognitive impairment in a low-resource setting. It is particularly valuable for researchers exploring blood-based biomarkers for early detection of neurocognitive disorders and can inform public health interventions targeting aging populations in sub-Saharan Africa. The dataset is structured to enable both univariate and multivariate analyses and is suitable for epidemiological, clinical, or machine learning-based investigations into geriatric cognitive health.
DOI: 10.15468/dl.pvfzp5
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Larrea ameghinoi"
 ]
}

 The dataset includes 45 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086325-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/y26yh76ww9
title: Data of Extremely high alkalinity due to dissolution of Mg-rich phyllosilicate in the hemipelagic sediments of the Ulleung Basin (East/Japan Sea): stable Si isotopic evidence and reactive transport modeling

description: The Supplementary Material includes two files:
File 1 includes measure results for porewater (Table S2), leachates (Table S3) and standards (Table S4). 
File 2 includes (1) descriptions of the procedure of a revised sequential leaching protocol (content 1), acid-base reactions (content 2), rate expressions of transition state theory (TST) (content 3), microbial processes and rate expressions of Monod equation (content 4), contributions of marine silicate alteration (content 5), and representative Si phase of leachate (content 6). (2) Figures geochemistry of leachates and porewater (Fig. S1), saturation index of minerals and opal in simulations (Fig. S2), and comparison of NaOH leaching efficiency between our previous and modified protocols (Fig. S3). (3) Equations and values used in the modeling (Table S5), measured results of leachate from two protocols and porewater (Table S6), and Si isotopic composition of porewater references (Table S7).
DOI: 10.17632/y26yh76ww9.2
title: Data of Extremely high alkalinity due to dissolution of Mg-rich phyllosilicate in the hemipelagic sediments of the Ulleung Basin (East/Japan Sea): stable Si isotopic evidence and reactive transport modeling

description: The Supplementary Material includes two files:
File 1 includes measure results for porewater (Table S2), leachates (Table S3) and standards (Table S4). 
File 2 includes (1) descriptions of the procedure of a revised sequential leaching protocol (content 1), acid-base reactions (content 2), rate expressions of transition state theory (TST) (content 3), microbial processes and rate expressions of Monod equation (content 4), contributions of marine silicate alteration (content 5), and representative Si phase of leachate (content 6). (2) Figures geochemistry of leachates and porewater (Fig. S1), saturation index of minerals and opal in simulations (Fig. S2), and comparison of NaOH leaching efficiency between our previous and modified protocols (Fig. S3). (3) Equations and values used in the modeling (Table S5), measured results of leachate from two protocols and porewater (Table S6), and Si isotopic composition of porewater references (Table S7).
DOI: 10.17632/v84jvkjdwc.1
title: The geochemical, mineralogical, and grain-size datasets obtained for the bedrock outcrops, surface soils, and aquatic sediments of the Dhom Lake watershed, Deccan Trap, India.