cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e8dc2z
title: Occurrence Download

description: A dataset containing 11704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Germany"
 ]
}

 The dataset includes 11704 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014703-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx8bkp
title: Occurrence Download

description: A dataset containing 21021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((-5.44174 41.25919,9.98844 41.25919,9.98844 51.10791,-5.44174 51.10791,-5.44174 41.25919))",
 "OccurrenceStatus is Present",
 "TaxonKey is Timon lepidus"
 ]
}

 The dataset includes 21021 records from 440 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014704-251025141854904/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/13608509
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.58x82v
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Netherlands"
 ]
}

 The dataset includes 267 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014706-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctn79x
title: Occurrence Download

description: A dataset containing 12684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Belgium"
 ]
}

 The dataset includes 12684 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014707-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k732mu
title: Occurrence Download

description: A dataset containing 10581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Luxembourg"
 ]
}

 The dataset includes 10581 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014709-251025141854904/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.30529370
title: XRD RAW DATA FOR THE MANUSCRIPT: Exploring Terrestrial Lava Tubes as Martian Analogues (I): Multi-Analytical Study of Mineralization Processes in Cueva del Vidrio, La Palma (Canary Islands)

description: These dataset contains the raw spectra for the analysis carried out in the paper: Exploring Terrestrial Lava Tubes as Martian Analogues (I): Multi-Analytical Study of Mineralization Processes in Cueva del Vidrio, La Palma (Canary Islands)
DOI: 10.6084/m9.figshare.30529370.v1
title: XRD RAW DATA FOR THE MANUSCRIPT: Exploring Terrestrial Lava Tubes as Martian Analogues (I): Multi-Analytical Study of Mineralization Processes in Cueva del Vidrio, La Palma (Canary Islands)

description: These dataset contains the raw spectra for the analysis carried out in the paper: Exploring Terrestrial Lava Tubes as Martian Analogues (I): Multi-Analytical Study of Mineralization Processes in Cueva del Vidrio, La Palma (Canary Islands)
DOI: 10.15468/dl.d33stm
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gasteranthus calcaratus oncogastrus"
 ]
}

 The dataset includes 193 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014710-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p24ga7
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Italy"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014713-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktr2ah
title: Occurrence Download

description: A dataset containing 493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Switzerland"
 ]
}

 The dataset includes 493 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014714-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pnh3q
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Austria"
 ]
}

 The dataset includes 174 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014715-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hdmma
title: Occurrence Download

description: A dataset containing 8584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Occurrence dataset from the waterbird survey of Miyun Reservoir, Beijing, China, Birda - Global Observation Dataset, iNaturalist Research-grade Observations)",
 "GadmGid is CHN.2_1",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2015-2015"
 ]
}

 The dataset includes 8584 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014712-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwvj33
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((124.37921 33.9686,116.6239 46.07445,99.22172 41.25102,100.73496 25.36209,127.50025 16.94473,124.37921 33.9686))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Matsumurella chinensis"
 ]
}

 The dataset includes 193 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014716-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25406/wsu.30295396
title: <b>Mapping Psychosocial Determinants of Loss to Follow-Up Among Drug-resistant Tuberculosis Patients in South Africa</b><b>: A Scoping Review Protocol</b>

description: <b>Abstract</b><b>Background: </b>Drug-resistant tuberculosis (DR-TB) in South Africa continues to threaten TB control, with loss to follow-up (LTFU) at both pretreatment (diagnosed but not initiated) and on-treatment stages undermining program success. Psychosocial determinants such as stigma, depression and anxiety, alcohol and substance use, and social and family support are frequently implicated, yet evidence is scattered across disciplines, uses heterogeneous definitions and tools, and is seldom synthesized for policy and implementation.<b>Materials and Method: </b>This scoping review aims to systematically map psychosocial determinants associated with pretreatment and on-treatment LTFU among people with DR-TB in South Africa, describe how these determinants and LTFU are defined and measured, identify contextual modifiers (e.g., HIV status, sex/age, province, urban–rural setting, decentralization, regimen era), and highlight evidence gaps and practical leverage points for intervention. The review will follow established scoping-review methodology and report per PRISMA-ScR following five steps: (1) defining the research question, (2) search strategy, (3) setting inclusion criteria, (4) extracting data, (5) assessing, summarizing , presenting findings and (6) Consultation. A comprehensive peer-reviewed literature search, including PubMed, Scopus, ScienceDirect, and Google Scholar, will be conducted by two independent reviewers. The review will span over eight weeks, focusing on studies in South Africa published in English language between 2010 and 2025. Article eligibility will be determined using a two-stage screening process with disagreements resolved through consensus and consultation of a third reviewer. The results of this review will be presented as tables, including a narrative synthesis of the findings. No meta-analysis is planned.<b>Conclusion: </b>The review will deliver a policy-ready map of psychosocial risks and promising supports for DR-TB retention in South Africa, informing the design and targeting of patient-support packages and outlining priorities for future evaluation and standardization of LTFU definitions and psychosocial measures.
DOI: 10.25406/wsu.30295396.v1
title: <b>Mapping Psychosocial Determinants of Loss to Follow-Up Among Drug-resistant Tuberculosis Patients in South Africa</b><b>: A Scoping Review Protocol</b>

description: <b>Abstract</b><b>Background: </b>Drug-resistant tuberculosis (DR-TB) in South Africa continues to threaten TB control, with loss to follow-up (LTFU) at both pretreatment (diagnosed but not initiated) and on-treatment stages undermining program success. Psychosocial determinants such as stigma, depression and anxiety, alcohol and substance use, and social and family support are frequently implicated, yet evidence is scattered across disciplines, uses heterogeneous definitions and tools, and is seldom synthesized for policy and implementation.<b>Materials and Method: </b>This scoping review aims to systematically map psychosocial determinants associated with pretreatment and on-treatment LTFU among people with DR-TB in South Africa, describe how these determinants and LTFU are defined and measured, identify contextual modifiers (e.g., HIV status, sex/age, province, urban–rural setting, decentralization, regimen era), and highlight evidence gaps and practical leverage points for intervention. The review will follow established scoping-review methodology and report per PRISMA-ScR following five steps: (1) defining the research question, (2) search strategy, (3) setting inclusion criteria, (4) extracting data, (5) assessing, summarizing , presenting findings and (6) Consultation. A comprehensive peer-reviewed literature search, including PubMed, Scopus, ScienceDirect, and Google Scholar, will be conducted by two independent reviewers. The review will span over eight weeks, focusing on studies in South Africa published in English language between 2010 and 2025. Article eligibility will be determined using a two-stage screening process with disagreements resolved through consensus and consultation of a third reviewer. The results of this review will be presented as tables, including a narrative synthesis of the findings. No meta-analysis is planned.<b>Conclusion: </b>The review will deliver a policy-ready map of psychosocial risks and promising supports for DR-TB retention in South Africa, informing the design and targeting of patient-support packages and outlining priorities for future evaluation and standardization of LTFU definitions and psychosocial measures.
DOI: 10.15468/dl.etwdaj
title: Occurrence Download

description: A dataset containing 17773 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence (survey) data of invasive alien plants of Nepal"
 ]
}

 The dataset includes 17773 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014718-251025141854904/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.30529406
title: Supplementary Material for: Incidence and risk of stroke following dementia: a nationwide cohort study in South Korea

description: Introduction:
This study aimed to evaluate the long-term risk of stroke following dementia diagnosis and compare stroke risk across dementia subtypes using nationwide cohort data.
Methods:
We performed a retrospective cohort study using Korean National Health Insurance Service data (2002–2013). Patients with newly diagnosed dementia (n = 2,820) were matched 1:10 with controls (n = 28,200) by age, sex, and health screening year. Stroke incidence was evaluated over up to 10 years of follow-up. Adjusted hazard ratios (aHRs) were calculated using Cox regression.
Results:
During a mean follow-up of 2.49 years (median, 1.99; standard deviation, 2.07; IQR, 2.66), dementia was significantly associated with increased stroke risk (aHR, 3.19; 95% CI, 2.84–3.57). The highest risk was observed in patients with vascular dementia (VaD; aHR, 3.58), followed by Alzheimer’s disease (AD; 2.73) and other dementias (2.61). IS was more common than HS across all subtypes. The relative risk was greater in individuals aged &lt;60 years and in males with AD or other dementias, whereas sex differences were not evident in VaD.
Conclusion:
Dementia, especially VaD, is a strong risk factor for both ischemic and hemorrhagic stroke. These findings support the need for dementia subtype-specific cerebrovascular risk assessment and long-term prevention strategies.
DOI: 10.6084/m9.figshare.30529406.v1
title: Supplementary Material for: Incidence and risk of stroke following dementia: a nationwide cohort study in South Korea

description: Introduction:
This study aimed to evaluate the long-term risk of stroke following dementia diagnosis and compare stroke risk across dementia subtypes using nationwide cohort data.
Methods:
We performed a retrospective cohort study using Korean National Health Insurance Service data (2002–2013). Patients with newly diagnosed dementia (n = 2,820) were matched 1:10 with controls (n = 28,200) by age, sex, and health screening year. Stroke incidence was evaluated over up to 10 years of follow-up. Adjusted hazard ratios (aHRs) were calculated using Cox regression.
Results:
During a mean follow-up of 2.49 years (median, 1.99; standard deviation, 2.07; IQR, 2.66), dementia was significantly associated with increased stroke risk (aHR, 3.19; 95% CI, 2.84–3.57). The highest risk was observed in patients with vascular dementia (VaD; aHR, 3.58), followed by Alzheimer’s disease (AD; 2.73) and other dementias (2.61). IS was more common than HS across all subtypes. The relative risk was greater in individuals aged &lt;60 years and in males with AD or other dementias, whereas sex differences were not evident in VaD.
Conclusion:
Dementia, especially VaD, is a strong risk factor for both ischemic and hemorrhagic stroke. These findings support the need for dementia subtype-specific cerebrovascular risk assessment and long-term prevention strategies.
DOI: 10.6084/m9.figshare.30529409
title: Supplementary Material for: AI-Driven Fall Prediction Across Generations: Integrating Deep Learning and Machine Learning for Young, Middle-Aged, and Older Adults

description: Introduction
Falls occur in all age groups and represent a significant public health concern. Previous studies have implemented artificial intelligence (AI), including machine learning (ML) and deep learning (DL) algorithms for fall risk prediction, but the comparative performance between models and the applicability for younger populations remains unclear. This study aims to develop and compare different ML/DL models and identify key predictive features across age groups.
Methods
We enrolled 1441 community-dwelling adults aged over 20 years in southern Taiwan and collected demographic, clinical, and physical performance data. Participants were categorized based on fall history. Five ML models (KNN, RF, GBDT, XGBoost, and CatBoost) and two DL (GRU, AGRU) models were trained and evaluated using accuracy, precision, recall, F1-score, and the area under the receiver operating characteristic curve (AUROC). Feature importance was interpreted using SHapley Additive exPlanations (SHAP) values in the best-performing model. Age-stratified subgroup analyses were conducted for groups aged 20-45, 46-65, and &gt;65 years.
Results
The AGRU model achieved the highest accuracy (91.39%) and AUROC (0.934) in the overall group and outperformed other models across all subgroups. Feature importance analysis revealed pulse rate, living alone, systolic blood pressure, 5-times Sit-to-Stand test, and sex as major predictors of falls in the overall group. The top five predicting factors varied across age groups. 
Conclusion
We developed a robust and interpretable DL model for identifying fall risk across different age groups. Age-specific risk factors highlight the need for tailored preventive strategies. External validation using an independent dataset demonstrated moderate generalizability. Larger and more diverse datasets for validation and integration of sequential or sensor-based data are essential for practical applications.
DOI: 10.6084/m9.figshare.30529409.v1
title: Supplementary Material for: AI-Driven Fall Prediction Across Generations: Integrating Deep Learning and Machine Learning for Young, Middle-Aged, and Older Adults

description: Introduction
Falls occur in all age groups and represent a significant public health concern. Previous studies have implemented artificial intelligence (AI), including machine learning (ML) and deep learning (DL) algorithms for fall risk prediction, but the comparative performance between models and the applicability for younger populations remains unclear. This study aims to develop and compare different ML/DL models and identify key predictive features across age groups.
Methods
We enrolled 1441 community-dwelling adults aged over 20 years in southern Taiwan and collected demographic, clinical, and physical performance data. Participants were categorized based on fall history. Five ML models (KNN, RF, GBDT, XGBoost, and CatBoost) and two DL (GRU, AGRU) models were trained and evaluated using accuracy, precision, recall, F1-score, and the area under the receiver operating characteristic curve (AUROC). Feature importance was interpreted using SHapley Additive exPlanations (SHAP) values in the best-performing model. Age-stratified subgroup analyses were conducted for groups aged 20-45, 46-65, and &gt;65 years.
Results
The AGRU model achieved the highest accuracy (91.39%) and AUROC (0.934) in the overall group and outperformed other models across all subgroups. Feature importance analysis revealed pulse rate, living alone, systolic blood pressure, 5-times Sit-to-Stand test, and sex as major predictors of falls in the overall group. The top five predicting factors varied across age groups. 
Conclusion
We developed a robust and interpretable DL model for identifying fall risk across different age groups. Age-specific risk factors highlight the need for tailored preventive strategies. External validation using an independent dataset demonstrated moderate generalizability. Larger and more diverse datasets for validation and integration of sequential or sensor-based data are essential for practical applications.
DOI: 10.11588/data/u5qaip
title: Bistable Dual-Responsive Azobenzene-co-PNIPAM Soft Microactuators via Two-Photon Direct Laser Writing (data)

description: Here, bistable soft microactuators with arbitrary 3D shapes fabricated by two-photon polymerization at micrometer precision are demonstrated. The bistability is given by material composition, based on poly(N-isopropylacrylamide) (pNIPAM) and a light-responsive azobenzene compound. The incorporation of a photoswitchable azobenzene compound into pNIPAM enables the modification of its lower critical solution temperature (LCST) through the (E)–(Z)-isomerization. Shrinking and swelling, is controlled by photoswitching, allowing for the actuation of Azo_pNIPAM microactuators at a constant temperature regime. This data set presents microscopy images, confocal z-stacks and force indentation curves for the characterization of thermo- and lightresponse.
DOI: 10.15468/dl.gv3enf
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HigherGeography is Extremadura",
 "StateProvince is Extremadura"
 ]
}

 The dataset includes 45 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014719-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zsqye
title: Occurrence Download

description: A dataset containing 17773 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence (survey) data of invasive alien plants of Nepal"
 ]
}

 The dataset includes 17773 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014721-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qye7ka
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Denmark"
 ]
}

 The dataset includes 92 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014723-251025141854904/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/13608567
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.azwqes
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Norway"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014725-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jh8xtq
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sonchus asper"
 ]
}

 The dataset includes 189 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014722-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr82wf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "HasCoordinate is true",
 "Country is Sweden"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014724-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.