cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/422-jsb-ztn
title: Sideritis glacialis Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/hk6-fmc-8zr
title: Silene nemoralis Waldst. & Kit.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/0w4-njl-6ps
title: Coprosma savaiiensis Rech.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/dx1-c06-epv
title: Micromeria graeca subsp. graeca (L.) Benth. ex Rchb.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/kmc-se5-qgp
title: Micromeria microphylla (d'Urv.) Benth.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/22b-qxn-yav
title: Phlomis herba-venti subsp. herba-venti L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/cpl-7ps-0dn
title: Silene sendtneri subsp. sendtneri Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/bz9-ycb-tpc
title: Silene pusilla subsp. chromodonta (Boiss. & Reut.) Greuter

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/c06-k64-rwd
title: Lavandula stoechas subsp. stoechas L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/rd5-rh0-w0r
title: Coleus blumei Benth.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/f30-gsq-tz5
title: Phlomis bourgaei Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/j0h-vm1-eqq
title: Silene italica subsp. italica (L.) Pers.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/yt9-fly-pzm
title: Ajuga iva (L.) Schreb.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/ble-j71-lel
title: Zingiber officinale Roscoe

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/dhz-1ek-9gn
title: Rosmarinus officinalis L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/ja8-t66-bjg
title: Micromeria juliana (L.) Benth. ex Rchb.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.5281/zenodo.15256154
title: 호지 추측의 증명. 6
DOI: 10.5281/zenodo.15256155
title: 호지 추측의 증명. 6
DOI: 10.5281/zenodo.15640302
title: Dataset of "Electrochemical Signatures in Proton Exchange Membrane Fuel Cells: A Comprehensive Study Based on Distribution of Relaxation Times"

description: The Distribution of Relaxation Times (DRT) method is increasingly applied to electrochemical impedance spectroscopy (EIS) for polymer electrolyte membrane fuel cells (PEMFCs), yet peak interpretation remains challenging due to overlapping processes and sensitivity to operating conditions. In this work, impedance spectra were measured on a well-defined single PEMFC across a broad experimental matrix, including variations in voltage, temperature, pressure, gas stoichiometry, and oxidant type. The novelty of this study lies not in the identification of peaks themselves, but in the systematic quantification of how their relative contributions evolve under such diverse conditions. A non-linear statistical framework was employed to reveal correlations between peaks and operating parameters, thereby elucidating the highly non-linear mechanistic interplay underlying PEMFC operation. This approach also enables assessment of the statistical significance of peaks, distinguishing genuine electrochemical features from phantom peaks, while the presentation of the average DRT reconstruction error with confidence intervals highlights non-negligible uncertainties in the high-frequency region.Dataset collected by Francesco Mazzeo during his research period abroad at the University of Chemistry and Technology Prague as part of his PhD program at Politecnico di Torino, carried out within the PNRR-NGEU project, which received funding from the MUR – DM 352/2022, as well as from Eaton.
DOI: 10.5281/zenodo.17278516
title: Dataset of "Electrochemical Signatures in Proton Exchange Membrane Fuel Cells: A Comprehensive Study Based on Distribution of Relaxation Times"

description: The Distribution of Relaxation Times (DRT) method is increasingly applied to electrochemical impedance spectroscopy (EIS) for polymer electrolyte membrane fuel cells (PEMFCs), yet peak interpretation remains challenging due to overlapping processes and sensitivity to operating conditions. In this work, impedance spectra were measured on a well-defined single PEMFC across a broad experimental matrix, including variations in voltage, temperature, pressure, gas stoichiometry, and oxidant type. The novelty of this study lies not in the identification of peaks themselves, but in the systematic quantification of how their relative contributions evolve under such diverse conditions. A non-linear statistical framework was employed to reveal correlations between peaks and operating parameters, thereby elucidating the highly non-linear mechanistic interplay underlying PEMFC operation. This approach also enables assessment of the statistical significance of peaks, distinguishing genuine electrochemical features from phantom peaks, while the presentation of the average DRT reconstruction error with confidence intervals highlights non-negligible uncertainties in the high-frequency region.Dataset collected by Francesco Mazzeo during his research period abroad at the University of Chemistry and Technology Prague as part of his PhD program at Politecnico di Torino, carried out within the PNRR-NGEU project, which received funding from the MUR – DM 352/2022, as well as from Eaton.
DOI: 10.15468/dl.3zuhj2
title: Occurrence Download

description: A dataset containing 519935 records in GBIF matching the query:
SELECT DISTINCT
 "identificationverificationstatus"
FROM
 occurrence

 The dataset's 519935 records were derived from 89014 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026892-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzvdnb
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Snowdenia polystachya"
 ]
}

 The dataset includes 78 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026911-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21410/7e4/szvodv
title: Enquête électorale française 2024 (ENEF 2024), Vague 7

description: Ce dispositif de suivi et de mesure de l’opinion permet l’analyse des évolutions de l’électorat français et de ses réactions aux événements politiques, sociaux et économiques à travers 7 vagues concernant les élections européennes et législatives de 2024. Il fournit une série d’indicateurs et de mesures sur les tendances de l’électorat français, ses valeurs politiques et ses préférences partisanes. L'enquête détaille les ressorts psychologiques de la décision électorale à la lumière des valeurs des Français et des contextes politiques, géographiques et socio-économiques. Elle permet également de restituer les votes lors des élections legislatives et la raison du vote. L'enquête est en continuum de l'Enquête électorale française 2017  et l'Enquête électorale française 2019 qui a repris une partie de ses enquêtés. Cette dernière vague a été réalisée en juillet 2024, après les élections legislatives de juin et juillet 2024 ; 11 204 personnes inscrites sur les listes électorales y ont participé.
DOI: 10.5281/zenodo.18676662
title: Design of nanoscale finfet device using process simulation
DOI: 10.5281/zenodo.18677375
title: Design of nanoscale finfet device using process simulation
DOI: 10.15468/dl.v88vte
title: Occurrence Download

description: A dataset containing 4262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capoeta"
 ]
}

 The dataset includes 4262 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026912-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85h3wy
title: Occurrence Download

description: A dataset containing 8636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxycoccus palustris",
 "Year 1980-2026"
 ]
}

 The dataset includes 8636 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026913-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14459/2026mp1839722
title: MATLAB code for analysis of variance (ANOVA) applied to electrochemical impedance spectroscopy (EIS) data, including an EIS dataset from four NCA 21700 cells with 9 SoC and 3 temperature levels.

description: This repository provides MATLAB code for applying analysis of variance (ANOVA) to electrochemical impedance spectroscopy (EIS) data. ANOVA is performed on the real part, imaginary part, magnitude, and phase of the impedance across the full frequency range, as well as on the intercept frequency and its corresponding real impedance value. For all impedance components, the effect size (ES) is quantified using omega-squared formulations. The script outputs a structured MATLAB variable containing ANOVA and ES results, ES-based rankings for each independent variable, and figures illustrating Nyquist plots and frequency-dependent ES.
The included EIS dataset corresponds to the data used in [1] and was measured on four NCA 21700 cells under isothermal conditions at 3 temperature levels and 9 SoC levels. Further details on the experimental setup and measurements are provided in [1].
<br>

[1] Gomez et al., Statistical analysis for robust battery state estimation: Demonstrating ANOVA-driven feature selection with electrochemical impedance spectroscopy.
DOI: 10.15468/dl.ajmtrh
title: Occurrence Download

description: A dataset containing 56318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lomographa bimaculata"
 ]
}

 The dataset includes 56318 records from 284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026882-260208012135463/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.31361497
title: Supplementary Material for: Independent and Combined Effects of Type 2 Diabetes Mellitus and Inappropriate Medication Use on Fall Risk Among the Older People

description: ABSTRACT
Introduction: Falls are a major cause of morbidity and mortality in older people, and type 2 diabetes mellitus (T2DM) has been identified as a key contributor. Another factor associated with increased fall risk is inappropriate medication use (IMU), which includes the use of inappropriate drugs or the omission of indicated ones. However, the independent and combined effects of T2DM and IMU on fall risk in older people remain unclear.
Methods: This prospective observational study was conducted among inpatients aged 65 years and older in the internal medicine department of a tertiary hospital between November 2022 and February 2023. Sociodemographic data, Turkish Inappropriate Medication Use in the Elderly (TIME-to-START/STOP) Criteria, and the Itaki Fall Risk Scale were collected through face-to-face interviews conducted by the researcher. The study population was divided into two groups: Group 1 (patients without T2DM n=50) and Group 2 (patients with T2DM, n=58). The effects of the independent variables on fall risk were analyzed using a multivariable logistic regression model (backward Wald method, Nagelkerke R Square 62.0%) in IBM SPSS Statistics 26.0. A p-value &lt;0.05 was considered statistically significant.
Results: T2DM and age were significant predictors of fall risk [(B = 2.775, p = 0.047, OR = 16.035); (B = 0.137, p = 0.010, OR = 1.147)]. Among participants with T2DM, females had higher risk of falls compared with males (B = 2.573, OR = 13.158, p = 0.043). At least one IMU was present in 75.0% of the cases per TIME-to-START. Fall risk was significantly higher in Group 2 and in male participants who did not meet “2+” TIME-to-START criteria [(B = 2.077, OR = 8.000, p = 0.014); (B = 2.118, OR = 8.316, p = 0.006)]. IMU was not a significant fall risk predictor in either group according to TIME-to-STOP. Both T2DM and IMU identified by TIME-to-START were significant predictors of high fall risk in older people. In addition to T2DM, age and IMU, living arrangement and history of falls were significant predictors. However, the primary focus was on the independent and combined effects of T2DM and IMU.
Conclusions: Our study demonstrated that both T2DM and IMU identified by TIME-to-START were significant predictors of increased fall risk in older people. This risk was especially pronounced in patients with T2DM who also had multiple instances of inappropriate medication. These findings suggest that careful medication management is particularly important for fall prevention in older T2DM patients.
DOI: 10.6084/m9.figshare.31361497.v1
title: Supplementary Material for: Independent and Combined Effects of Type 2 Diabetes Mellitus and Inappropriate Medication Use on Fall Risk Among the Older People

description: ABSTRACT
Introduction: Falls are a major cause of morbidity and mortality in older people, and type 2 diabetes mellitus (T2DM) has been identified as a key contributor. Another factor associated with increased fall risk is inappropriate medication use (IMU), which includes the use of inappropriate drugs or the omission of indicated ones. However, the independent and combined effects of T2DM and IMU on fall risk in older people remain unclear.
Methods: This prospective observational study was conducted among inpatients aged 65 years and older in the internal medicine department of a tertiary hospital between November 2022 and February 2023. Sociodemographic data, Turkish Inappropriate Medication Use in the Elderly (TIME-to-START/STOP) Criteria, and the Itaki Fall Risk Scale were collected through face-to-face interviews conducted by the researcher. The study population was divided into two groups: Group 1 (patients without T2DM n=50) and Group 2 (patients with T2DM, n=58). The effects of the independent variables on fall risk were analyzed using a multivariable logistic regression model (backward Wald method, Nagelkerke R Square 62.0%) in IBM SPSS Statistics 26.0. A p-value &lt;0.05 was considered statistically significant.
Results: T2DM and age were significant predictors of fall risk [(B = 2.775, p = 0.047, OR = 16.035); (B = 0.137, p = 0.010, OR = 1.147)]. Among participants with T2DM, females had higher risk of falls compared with males (B = 2.573, OR = 13.158, p = 0.043). At least one IMU was present in 75.0% of the cases per TIME-to-START. Fall risk was significantly higher in Group 2 and in male participants who did not meet “2+” TIME-to-START criteria [(B = 2.077, OR = 8.000, p = 0.014); (B = 2.118, OR = 8.316, p = 0.006)]. IMU was not a significant fall risk predictor in either group according to TIME-to-STOP. Both T2DM and IMU identified by TIME-to-START were significant predictors of high fall risk in older people. In addition to T2DM, age and IMU, living arrangement and history of falls were significant predictors. However, the primary focus was on the independent and combined effects of T2DM and IMU.
Conclusions: Our study demonstrated that both T2DM and IMU identified by TIME-to-START were significant predictors of increased fall risk in older people. This risk was especially pronounced in patients with T2DM who also had multiple instances of inappropriate medication. These findings suggest that careful medication management is particularly important for fall prevention in older T2DM patients.
DOI: 10.6084/m9.figshare.31361500
title: Supplementary Material for: Childhood-Onset Celiac Disease Autoimmunity and Risk of Depression and Anxiety Across the Lifespan: A Longitudinal Analysis of a Large Real-World Cohort

description: Purpose: Celiac disease is associated with various extraintestinal manifestations, including psychiatric and psychological comorbidities. We evaluated the risk of developing depression and anxiety among patients diagnosed with celiac disease autoimmunity (CDA).
Methods: This retrospective case-control cohort study was conducted using the Clalit Healthcare Services population-based electronic database (~4.5 million individuals). Between January 1, 2008, and December 31, 2022, we identified subjects aged 1–80 years with a positive IgA anti–tissue transglutaminase test and a repeat measurement within 6–36 months. Depression and anxiety were identified over follow-up using ICD-9 diagnostic codes or by documented regular use of antidepressants or anxiolytics. 
Results: We identified 3,797 patients with CDA, and the cohort was matched in a 1:3 ratio with 11,387 healthy controls having a negative anti-tTG2 serology. Over a median 60 months follow up duration, 5.9% of CDA patients developed depression or anxiety, compared to 1.7% of the control group (HR 2.89, 95% CI 2.2–3.8, p &lt; 0.001), and 67% of anxiety and depression cases among CDA patients were developed during childhood. On multivariate analysis, very high baseline anti-tTG2 level (&gt;10 X ULN), older age at diagnosis, and female sex were independently associated with the risk of developing anxiety and depression among CDA patients (HR 1.82, 1.03, and 1.38, p-values 0.029, 0.018 and 0.038, respectively).
Conclusions: CDA appears to increase the risk for anxiety and depression, particularly with very high baseline anti-tTG2 levels, advanced age at diagnosis and in females.
DOI: 10.6084/m9.figshare.31361500.v1
title: Supplementary Material for: Childhood-Onset Celiac Disease Autoimmunity and Risk of Depression and Anxiety Across the Lifespan: A Longitudinal Analysis of a Large Real-World Cohort

description: Purpose: Celiac disease is associated with various extraintestinal manifestations, including psychiatric and psychological comorbidities. We evaluated the risk of developing depression and anxiety among patients diagnosed with celiac disease autoimmunity (CDA).
Methods: This retrospective case-control cohort study was conducted using the Clalit Healthcare Services population-based electronic database (~4.5 million individuals). Between January 1, 2008, and December 31, 2022, we identified subjects aged 1–80 years with a positive IgA anti–tissue transglutaminase test and a repeat measurement within 6–36 months. Depression and anxiety were identified over follow-up using ICD-9 diagnostic codes or by documented regular use of antidepressants or anxiolytics. 
Results: We identified 3,797 patients with CDA, and the cohort was matched in a 1:3 ratio with 11,387 healthy controls having a negative anti-tTG2 serology. Over a median 60 months follow up duration, 5.9% of CDA patients developed depression or anxiety, compared to 1.7% of the control group (HR 2.89, 95% CI 2.2–3.8, p &lt; 0.001), and 67% of anxiety and depression cases among CDA patients were developed during childhood. On multivariate analysis, very high baseline anti-tTG2 level (&gt;10 X ULN), older age at diagnosis, and female sex were independently associated with the risk of developing anxiety and depression among CDA patients (HR 1.82, 1.03, and 1.38, p-values 0.029, 0.018 and 0.038, respectively).
Conclusions: CDA appears to increase the risk for anxiety and depression, particularly with very high baseline anti-tTG2 levels, advanced age at diagnosis and in females.
DOI: 10.15468/dl.vrs5hd
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptobrachella lateralis"
 ]
}

 The dataset includes 494 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026914-260208012135463/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.31361503
title: Supplementary Material for: Swiss S1 guidelines for the management of hidradenitis suppurativa

description: Hidradenitis Suppurativa (HS) is a chronic, inflammatory skin condition characterized by painful nodules, abscesses, and sinus tracts, causing significant physical and psychological distress. The profound impact of HS underscores the need for comprehensive management strategies to enhance patient outcomes and quality of life. This S1 guideline, developed by the Swiss HS Foundation, provides evidence-based recommendations for systemic and surgical treatments in HS, emphasizing the importance of standardized care practices. It incorporates insights and an informal expert consensus of Swiss dermatologists and dermatosurgeons. The guideline addresses conventional therapies, such as antibiotics and retinoids, as well as emerging biological treatments, and surgical interventions, offering a holistic approach to managing this challenging disease.
DOI: 10.6084/m9.figshare.31361503.v1
title: Supplementary Material for: Swiss S1 guidelines for the management of hidradenitis suppurativa

description: Hidradenitis Suppurativa (HS) is a chronic, inflammatory skin condition characterized by painful nodules, abscesses, and sinus tracts, causing significant physical and psychological distress. The profound impact of HS underscores the need for comprehensive management strategies to enhance patient outcomes and quality of life. This S1 guideline, developed by the Swiss HS Foundation, provides evidence-based recommendations for systemic and surgical treatments in HS, emphasizing the importance of standardized care practices. It incorporates insights and an informal expert consensus of Swiss dermatologists and dermatosurgeons. The guideline addresses conventional therapies, such as antibiotics and retinoids, as well as emerging biological treatments, and surgical interventions, offering a holistic approach to managing this challenging disease.
DOI: 10.15468/dl.m223f2
title: Occurrence Download

description: A dataset containing 1215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Sorbus folgneri"
 ]
}

 The dataset includes 1215 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026915-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.