cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18432139
title: Data and scripts for: Seasonal shifts in muskox metabolic rates and energy expenditure are primarily governed by ambient temperature

description: Data and scripts for the paper "Seasonal shifts in muskox metabolic rates and energy expenditure are primarily governed by ambient temperature".

 

The file MuskoxMetabolism_script.R holds the R code needed to reproduce all analyses and figures in the paper based on the below data files:



DailyMeans.rds holds data on the daily mean values for muskox stationary heart and rumen temperature.

Light.rds holds data on the number of light hours at the study site during the year.

DailyActivityMeans.rds holds data on daily mean values for muskox locomotor activity.

DailyTemp.rds holds data on the daily mean air temperature at the study site.


For a description of data handling and modelling procedures, see the article.
DOI: 10.6084/m9.figshare.31228549.v1
title: Nucleotide sequence of MAGs

description: Nucleotide sequence of the metagenome-assembled genomes (MAGs, n = 35) in compressed format (.fasta.gz).
DOI: 10.6084/m9.figshare.31228549
title: Nucleotide sequence of MAGs

description: Nucleotide sequence of the metagenome-assembled genomes (MAGs, n = 35) in compressed format (.fasta.gz).
DOI: 10.34740/kaggle/dsv/14705231
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.v5h2fj
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eurycorymbus cavaleriei",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 104 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006526-260129131611470/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.31166893.v1
title: Analysis of trabecular bone qualities and alveolar bone loss(site).

description: Using lncRNA-Dbd^fl/fl^; Ocn-Cre+ mice to identify changes of trabecular bone qualities, and experimental periodontitis model to explore whether lncRNA-Dbd deficiency aggravates periodontitis bone loss.
DOI: 10.22000/m255c36k0wm8ndhr
title: Supplemental data: Cortinarius mapuveronicae from South America, a chemical and morphological link between European and Australian dermocyboid Cortinarii

description: As part of the characterization of the new fungal species Cortinarius mapuveronicae from Patagonian Nothofagus forests, several anthraquinonoid secondary metabolites were identified through chemical analysis. A notable feature is the intense red coloration of the basidiomata. This color is attributed to a newly identified anthraquinone pigment, clavorubin-8-O-methylether (1).
In addition to this novel anthraquinoid compound, several known monomeric and dimeric anthraquinones were detected: (+)-7,7-Emodinphyscion (2), Emodin (3), Emodin-6,8-di-O-methylether (4), Questin (5), (+)-(S)-Skyrin (6), (+)-(S)-Aurantioskyrin (7), Hypericin (8), Dermolutein (9), Endocrocin (10).
Given compound numbers refer to the compound numbering in the corresponding publication of Lange & Huymann et al.
description: Cortinarius mapuveronicae N. Arnold, Palfner, Peintner, Huymann, Siewert sp. nov.
description: Bruker Avance Neo 500 NMR spectrometer
description: Orbitrap Elite mass spectrometer (Thermo Fisher Scientific)
description: Jasco J815 spectropolarimeter
DOI: 10.15468/dl.zbjp69
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pinus taiwanensis"
 ]
}

 The dataset includes 503 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006527-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17656325
title: Integrated human body and upper–lower airway STL model for CFD simulations (nasal + oral breathing)

description: This dataset provides an STL model of a human body integrated with a detailed upper and lower airway geometry, intended for computational fluid dynamics (CFD) simulations of inhalation, exhalation, and exposure.

The airway geometry was constructed by combining two previously published human respiratory models:(1) an oral-to-bronchial model used in Corley et al. (2021) "New Approach Methodology for Assessing Inhalation Risks of a Contact Respiratory Cytotoxicant: Computational Fluid Dynamics-Based Aerosol Dosimetry Modeling for Cross-Species and In Vitro Comparisons" (Toxicological Sciences, 182(2), 243–259, https://doi.org/10.1093/toxsci/kfab062), and(2) a nasal-to-bronchial model used in Kabilan et al. (2016) "Computational fluid dynamics modeling of Bacillus anthracis spore deposition in rabbit and human respiratory airways" (Journal of Aerosol Science, 99, 64–77, https://doi.org/10.1016/j.jaerosci.2016.01.011).

The original human airway STL geometries were obtained from the publicly available iLADDER repository (UCSD-Darquenne-Lab/iLADDER, https://github.com/UCSD-Darquenne-Lab/iLADDER), which provides CT-based lung and upper airway models for aerosol dosimetry research. The human02.2016 and human02.2021 modelscorrespond to the nasal and oral airway models used in Kabilan et al. (2016) and Corley et al. (2021), respectively, as documented in the iLADDER metadata.

These two airway models were geometrically merged to create a continuous airway from the nasal cavity and oral cavity down to the bronchial tree. The human body surface geometry represents an adult male in a standing posture and was generated using MakeHuman. The nostrils and the oral opening of the body model are seamlessly connected to the corresponding inlets of the airway model, enabling consistent definition of nasal and oral breathing boundary conditions.

All geometries are provided as triangulated STL files. The model is suitable for CFD studies of airflow, heat and mass transfer, and particle or gas inhalation in indoor or occupational environments. Users should carefully check units, coordinate definitions, and mesh quality and perform any additional processing required for their specific solver and study design.

When using this dataset, please acknowledge and cite both the original airway model publications (Corley et al. 2021; Kabilan et al. 2016) and this Zenodo record and published paper:

Sakata, R., Abouelhamd, I., Kuga, K., & Ito, K. (2026) Role of Pollen Particle Shape, Breathing Mode, and Wind Velocity on Human Aspiration and Deposition Efficiencies. Breathing Mode, and Wind Velocity on Human Aspiration and Deposition Efficiencies. Building and Environment, 292, 114308. https://doi.org/10.1016/j.buildenv.2026.114308
DOI: 10.5281/zenodo.17656326
title: Integrated human body and upper–lower airway STL model for CFD simulations (nasal + oral breathing)

description: This dataset provides an STL model of a human body integrated with a detailed upper and lower airway geometry, intended for computational fluid dynamics (CFD) simulations of inhalation, exhalation, and exposure.

The airway geometry was constructed by combining two previously published human respiratory models:(1) an oral-to-bronchial model used in Corley et al. (2021) "New Approach Methodology for Assessing Inhalation Risks of a Contact Respiratory Cytotoxicant: Computational Fluid Dynamics-Based Aerosol Dosimetry Modeling for Cross-Species and In Vitro Comparisons" (Toxicological Sciences, 182(2), 243–259, https://doi.org/10.1093/toxsci/kfab062), and(2) a nasal-to-bronchial model used in Kabilan et al. (2016) "Computational fluid dynamics modeling of Bacillus anthracis spore deposition in rabbit and human respiratory airways" (Journal of Aerosol Science, 99, 64–77, https://doi.org/10.1016/j.jaerosci.2016.01.011).

The original human airway STL geometries were obtained from the publicly available iLADDER repository (UCSD-Darquenne-Lab/iLADDER, https://github.com/UCSD-Darquenne-Lab/iLADDER), which provides CT-based lung and upper airway models for aerosol dosimetry research. The human02.2016 and human02.2021 modelscorrespond to the nasal and oral airway models used in Kabilan et al. (2016) and Corley et al. (2021), respectively, as documented in the iLADDER metadata.

These two airway models were geometrically merged to create a continuous airway from the nasal cavity and oral cavity down to the bronchial tree. The human body surface geometry represents an adult male in a standing posture and was generated using MakeHuman. The nostrils and the oral opening of the body model are seamlessly connected to the corresponding inlets of the airway model, enabling consistent definition of nasal and oral breathing boundary conditions.

All geometries are provided as triangulated STL files. The model is suitable for CFD studies of airflow, heat and mass transfer, and particle or gas inhalation in indoor or occupational environments. Users should carefully check units, coordinate definitions, and mesh quality and perform any additional processing required for their specific solver and study design.

When using this dataset, please acknowledge and cite both the original airway model publications (Corley et al. 2021; Kabilan et al. 2016) and this Zenodo record and published paper:

Sakata, R., Abouelhamd, I., Kuga, K., & Ito, K. (2026) Role of Pollen Particle Shape, Breathing Mode, and Wind Velocity on Human Aspiration and Deposition Efficiencies. Breathing Mode, and Wind Velocity on Human Aspiration and Deposition Efficiencies. Building and Environment, 292, 114308. https://doi.org/10.1016/j.buildenv.2026.114308
DOI: 10.4121/51da0e25-3c0f-48b8-93b0-1b0b0c3f0cdb
title: Raw data underlying the publication: Multi-Omics Insights into Genomic and Metabolomic Plasticity Driving Pathogenic-Beneficial Divergence and Virulence Mechanisms in Pantoea ananatis

description: The dataset encompasses genomic, metabolomic, and phenotypic data from 18 <em>Pantoea ananatis</em> isolates derived from mulberry (<em>Morus</em> spp.), focusing on eco-evolutionary mechanisms underlying their pathogen-probiotic duality. Key findings include three genetic clades: low-virulence probiotics (Pa-I, 11 strains), high-virulence pathogens (Pa-II, 5 strains), and transitional (Pa-III, 2 strains). Representative strains Pa-6 (probiotic) and YSFJ (pathogen) highlight divergences in genome architecture (e.g., plasmids, pseudogenes), metabolomes (e.g., TCA/amino acid vs. phosphonate/sulfur pathways), pan-genome openness, multidrug resistance, and host interactions (e.g., mild colonization enhancing resilience vs. aggressive lysis accelerating dysbiosis). This supports predictive frameworks for biocontrol and resilient microbiome engineering in agriculture. Data types include raw sequencing reads, MS spectra, bioassay results, and figure sources, organized by category. Total size: approximately 10-15 GB. Ethical compliance: Biosafety protocols followed; no human/animal subjects. Contact corresponding authors for interpretation queries on genomic evolution or metabolomic networks.
DOI: 10.4121/51da0e25-3c0f-48b8-93b0-1b0b0c3f0cdb.v2
title: Raw data underlying the publication: Multi-Omics Insights into Genomic and Metabolomic Plasticity Driving Pathogenic-Beneficial Divergence and Virulence Mechanisms in Pantoea ananatis

description: The dataset encompasses genomic, metabolomic, and phenotypic data from 18 <em>Pantoea ananatis</em> isolates derived from mulberry (<em>Morus</em> spp.), focusing on eco-evolutionary mechanisms underlying their pathogen-probiotic duality. Key findings include three genetic clades: low-virulence probiotics (Pa-I, 11 strains), high-virulence pathogens (Pa-II, 5 strains), and transitional (Pa-III, 2 strains). Representative strains Pa-6 (probiotic) and YSFJ (pathogen) highlight divergences in genome architecture (e.g., plasmids, pseudogenes), metabolomes (e.g., TCA/amino acid vs. phosphonate/sulfur pathways), pan-genome openness, multidrug resistance, and host interactions (e.g., mild colonization enhancing resilience vs. aggressive lysis accelerating dysbiosis). This supports predictive frameworks for biocontrol and resilient microbiome engineering in agriculture. Data types include raw sequencing reads, MS spectra, bioassay results, and figure sources, organized by category. Total size: approximately 10-15 GB. Ethical compliance: Biosafety protocols followed; no human/animal subjects. Contact corresponding authors for interpretation queries on genomic evolution or metabolomic networks.
DOI: 10.15468/dl.frkz46
title: Occurrence Download

description: A dataset containing 1443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Caretta caretta",
 "Geometry POLYGON((11.000000 35.500000, 13.000000 35.500000, 13.000000 38.000000, 11.000000 38.000000, 11.000000 35.500000))"
 ]
}

 The dataset includes 1443 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006528-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrv2zg
title: Occurrence Download

description: A dataset containing 673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Exothea paniculata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 673 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006529-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14705260
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.7910/dvn/3hzhbj
title: 5.How Does Remote Work Shape Work–Family Balance?

description: How Does Remote Work Shape Work–Family Balance?
DOI: 10.15468/dl.w8few4
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Filicium decipiens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 197 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006531-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4r8mmx
title: Occurrence Download

description: A dataset listing the 1823 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON Z((19.78008 -31.34165 0,19.78414 -31.3522 0,19.78044 -31.35286 0,19.77716 -31.34556 0,19.76452 -31.35613 0,19.76391 -31.36716 0,19.74312 -31.38451 0,19.73781 -31.36685 0,19.72794 -31.38262 0,19.73311 -31.38751 0,19.73385 -31.39182 0,19.73018 -31.39675 0,19.73175 -31.39882 0,19.73907 -31.39948 0,19.75976 -31.39107 0,19.76167 -31.3825 0,19.76454 -31.38133 0,19.77772 -31.39341 0,19.78183 -31.39276 0,19.78815 -31.39939 0,19.7897 -31.41109 0,19.79621 -31.40947 0,19.81929 -31.41588 0,19.82617 -31.41393 0,19.84267 -31.42219 0,19.84662 -31.42503 0,19.84845 -31.43154 0,19.85797 -31.43323 0,19.86201 -31.42493 0,19.86461 -31.42751 0,19.8759 -31.41921 0,19.88002 -31.4118 0,19.8892 -31.40842 0,19.89194 -31.40463 0,19.89836 -31.40463 0,19.89461 -31.40871 0,19.89519 -31.41326 0,19.88675 -31.41337 0,19.88341 -31.41797 0,19.88997 -31.4233 0,19.88175 -31.42848 0,19.88478 -31.43216 0,19.88339 -31.43604 0,19.88523 -31.43853 0,19.89181 -31.44076 0,19.91361 -31.42165 0,19.91514 -31.42478 0,19.92297 -31.42674 0,19.92841 -31.42244 0,19.90842 -31.40939 0,19.90448 -31.39942 0,19.90428 -31.3744 0,19.93784 -31.37035 0,19.9305 -31.3396 0,19.92353 -31.34848 0,19.91718 -31.35878 0,19.92801 -31.36402 0,19.91209 -31.36624 0,19.90867 -31.36101 0,19.90246 -31.36011 0,19.90039 -31.3617 0,19.89956 -31.35724 0,19.90351 -31.3515 0,19.90261 -31.33823 0,19.91387 -31.33407 0,19.89901 -31.3142 0,19.88927 -31.31789 0,19.86493 -31.30551 0,19.85391 -31.3098 0,19.81639 -31.30185 0,19.79313 -31.3154 0,19.79356 -31.2992 0,19.77587 -31.29725 0,19.77506 -31.30544 0,19.7817 -31.31175 0,19.7691 -31.32762 0,19.78008 -31.34165 0))",
 "Geometry POLYGON((19.67637 -31.50227,19.99404 -31.50227,19.99404 -31.24586,19.67637 -31.24586,19.67637 -31.50227))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1823 records were derived from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006519-260129131611470/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.30455099
title: Drug delivery and formulation development of hesperidin: a systematic review

description: Natural bioflavonoids, particularly hesperidin from citrus fruits, have attracted attention due to their potent antioxidant, anti-inflammatory, anticancer and neuroprotective properties. However, the clinical application of hesperidin is limited by its poor solubility, low bioavailability, and stability issues. Following PRISMA guidelines, we searched PubMed, MEDLINE, Scopus, and Google Scholar from inception to 10 January 2025 using terms combining ‘hesperidin’ with ‘bioavailability,’ ‘solubility,’ ‘absorption,’ and ‘formulation.’ Two reviewers independently screened records against predefined inclusion criteria (original, formulation-focused studies reporting biopharmaceutical or biological outcomes), resolved disagreements through discussion or third-reviewer adjudication, extracted data using a standard template, and assessed the risk of bias across six domains. From 1,625 records, 69 studies met eligibility. Platforms spanned inclusion complexes, solid dispersions, self-microemulsifying drug delivery systems (SMEDDS), microparticles, gels/microemulsions, and diverse nanoformulations (polymeric, lipidic, metallic, exosomal). Most approaches increased dissolution and/or exposure; lipidic and polymeric nanosystems delivered the largest, most consistent improvements, with early clinical signals in vascular, metabolic and oncological indications. Formulation advances can significantly mitigate hesperidin’s biopharmaceutical liabilities, with lipid-based systems, polymeric nanoparticles, and phytosomes emerging as leading strategies. Translation will benefit from stability and immunotoxicity packages, quality-by-design manufacturing, and well-designed, adequately powered clinical trials using harmonised pharmacokinetic and clinical endpoints. INPLASY202550096
DOI: 10.6084/m9.figshare.30455099.v1
title: Drug delivery and formulation development of hesperidin: a systematic review

description: Natural bioflavonoids, particularly hesperidin from citrus fruits, have attracted attention due to their potent antioxidant, anti-inflammatory, anticancer and neuroprotective properties. However, the clinical application of hesperidin is limited by its poor solubility, low bioavailability, and stability issues. Following PRISMA guidelines, we searched PubMed, MEDLINE, Scopus, and Google Scholar from inception to 10 January 2025 using terms combining ‘hesperidin’ with ‘bioavailability,’ ‘solubility,’ ‘absorption,’ and ‘formulation.’ Two reviewers independently screened records against predefined inclusion criteria (original, formulation-focused studies reporting biopharmaceutical or biological outcomes), resolved disagreements through discussion or third-reviewer adjudication, extracted data using a standard template, and assessed the risk of bias across six domains. From 1,625 records, 69 studies met eligibility. Platforms spanned inclusion complexes, solid dispersions, self-microemulsifying drug delivery systems (SMEDDS), microparticles, gels/microemulsions, and diverse nanoformulations (polymeric, lipidic, metallic, exosomal). Most approaches increased dissolution and/or exposure; lipidic and polymeric nanosystems delivered the largest, most consistent improvements, with early clinical signals in vascular, metabolic and oncological indications. Formulation advances can significantly mitigate hesperidin’s biopharmaceutical liabilities, with lipid-based systems, polymeric nanoparticles, and phytosomes emerging as leading strategies. Translation will benefit from stability and immunotoxicity packages, quality-by-design manufacturing, and well-designed, adequately powered clinical trials using harmonised pharmacokinetic and clinical endpoints. INPLASY202550096
DOI: 10.6084/m9.figshare.31228951
title: Knowledge, practices, and acceptance of physiotherapists regarding the use of immersive virtual reality in clinical practice: a cross-sectional online survey

description: To assess French- and Dutch-speaking physiotherapists’ knowledge, practices, and acceptance of immersive virtual reality (VR) in clinical settings. A cross-sectional online survey (NCT06252363) was conducted from February to July 2024, targeting French- and Dutch-speaking physiotherapists <i>via</i> non-probability sampling methods. Data were analyzed descriptively. A total of 155 physiotherapists from eight countries participated, mostly from Belgium. Most (75.5%) had never used immersive VR, while 12.25% were current users and 12.25% past users. Physiotherapists generally demonstrated satisfactory knowledge of immersive VR. Key facilitators and barriers to usage, reasons for discontinuation, and factors contributing to nonuse were identified. Half of the never-users showed interest in future use, a minority of past users planned to resume, and nearly all current users intended to continue. Attitudes toward immersive VR were mostly positive, though concerns about cost and value for money were noted. Immersive VR was generally perceived as clinically useful and not overly complex. Social influence did not appear to be a key factor in its adoption. These findings provide insights into the perspectives of French- and Dutch-speaking physiotherapists regarding the use of immersive VR in clinical settings and may help inform the development of implementation strategies targeting physiotherapists. Although immersive virtual reality is increasingly being studied in physiotherapy and shows promising results across various conditions, only a small proportion of physiotherapists incorporate it in their clinical practice. Understanding physiotherapists’ perspectives and the factors influencing their adoption of immersive virtual reality is essential for its successful implementation into clinical practice. The majority of respondents demonstrated satisfactory general knowledge of immersive virtual reality and reported a favorable level of acceptance, although intention to use varied across user subgroups and social influence appeared to exert little impact on its adoption. Key facilitators and barriers to its use, reasons for discontinuation, and factors contributing to nonuse were also identified. The findings of this study could help inform the design of dissemination and integration strategies targeting physiotherapists.