cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28553432
title: Supplementary Material for: Enhancing Health Outcomes through Optimized Body Composition in Prehabilitation

description: Background
Prehabilitation, the process of optimizing a patient's physical and nutritional status before surgery, has gained increasing attention for its potential to improve outcomes by enhancing physiological reserves and functional capacity. While body composition may play a role in these outcomes, its specific contribution remains underexplored. This narrative review summarizes current evidence on the effects of prehabilitation on body composition, focusing on exercise, nutritional interventions, and multimodal approaches. 
Summary
Exercise, particularly a combination of aerobic and resistance training, has been shown to improve cardiorespiratory fitness, reduce fat mass, and enhance skeletal muscle and strength. Nutritional interventions, including increased protein intake, support skeletal muscle preservation and recovery. A multimodal approach, integrating both exercise and nutrition, yields the most significant improvements in body composition, showing enhanced skeletal muscle, reduced fat mass, and better functional outcomes. However, the limited duration of prehabilitation and the time required for detectable changes in body composition often prevent consistent observations. Furthermore, variations in assessment techniques and protocols across studies confound definitive conclusions. 
Key messages
Despite some promising results, further research is needed to standardize protocols and explore the effects of prehabilitation on body composition across diverse patient populations. Finally, further research is needed to investigate the impact of prehabilitation on measurable changes in body composition, as this represents a critical gap in the field.
DOI: 10.6084/m9.figshare.28553432.v1
title: Supplementary Material for: Enhancing Health Outcomes through Optimized Body Composition in Prehabilitation

description: Background
Prehabilitation, the process of optimizing a patient's physical and nutritional status before surgery, has gained increasing attention for its potential to improve outcomes by enhancing physiological reserves and functional capacity. While body composition may play a role in these outcomes, its specific contribution remains underexplored. This narrative review summarizes current evidence on the effects of prehabilitation on body composition, focusing on exercise, nutritional interventions, and multimodal approaches. 
Summary
Exercise, particularly a combination of aerobic and resistance training, has been shown to improve cardiorespiratory fitness, reduce fat mass, and enhance skeletal muscle and strength. Nutritional interventions, including increased protein intake, support skeletal muscle preservation and recovery. A multimodal approach, integrating both exercise and nutrition, yields the most significant improvements in body composition, showing enhanced skeletal muscle, reduced fat mass, and better functional outcomes. However, the limited duration of prehabilitation and the time required for detectable changes in body composition often prevent consistent observations. Furthermore, variations in assessment techniques and protocols across studies confound definitive conclusions. 
Key messages
Despite some promising results, further research is needed to standardize protocols and explore the effects of prehabilitation on body composition across diverse patient populations. Finally, further research is needed to investigate the impact of prehabilitation on measurable changes in body composition, as this represents a critical gap in the field.
DOI: 10.6084/m9.figshare.28553435
title: Supplementary Material for: Clopidogrel Use in Saudi Arabia: Prescription Patterns and Prevalence of Common Concurrent Medications

description: Background: Clopidogrel is a widely used antiplatelet agent, often prescribed alongside other medications for other comorbidities. This may elevate the risk of drug-drug interactions (DDIs), which may have detrimental effects on patient’s health. This study aims to address a gap in understanding the prescription patterns of clopidogrel in real-world settings and the prevalence of using other potential interacting medications.
Methods: This was a retrospective descriptive analysis using secondary data from the Real-world Evidence Research Network, covering the period from 2016 to 2023. The population under investigation comprises all patients who initiated clopidogrel. Data were collected on demographics, comorbidities, prescription characteristics, and concomitant medication use, specifically anticoagulants, antiplatelets, nonsteroidal anti-inflammatory drugs (NSAIDs), proton pump inhibitors (PPIs), and statins. Concomitant drug use was defined as a complete or partial overlap of at least seven days between the use of these interacting drugs and clopidogrel prescriptions. Reliance on prescription records is a limitation due to potential data gaps but a strength for large-scale analysis in patients initiating clopidogrel. 
Results: The study included 23512 patients, predominantly male (67.5%), with a mean age of 65 years. Among the 89,478 clopidogrel prescriptions, the majority (92.4%) were prescribed at the 75 mg dose. This study found that 32.05% of patients co-used statins, 28.61% used PPIs, and 22.22% used antiplatelets, highlighting significant risks of DDIs. These interactions may compromise efficacy or increase adverse outcomes, such as bleeding. 
Conclusions: Clopidogrel is frequently prescribed with other potentially interacting medications such as cardiovascular and gastrointestinal agents. The potential for drug-drug interactions incidence necessitates vigilant medication management to optimize patient’s outcomes and ensure the safe and effective use of clopidogrel.
DOI: 10.6084/m9.figshare.28553441
title: Supplementary Material for: Caries risk assessment by dental students and dentists in the Netherlands – a survey study to assess knowledge and implementation

description: Introduction: To prevent caries with targeted strategies and to act conservatively, it is essential oral health care providers perform an individual caries risk assessment (CRA). This study aims to explore knowledge and application regarding CRA by Dutch fifth-year dental students (D5DS) and practitioners (DDPs).
Methods: A survey was conducted through a questionnaire sent at random to a group of 1,500 members of the Royal Dutch Dental Association (KNMT) and to 213 D5DS from all three dental schools in the Netherlands.
Results: Of the 374 DDP respondents (25%), 79% reported to perform CRA in routine practice. Female dentists reported using CRA in their daily practice more often than males (p=0.008).
The questionnaire was completed by 118 D5DS (55%). All D5DS respondents reported using CRA and most students were familiar with Dutch prevention-oriented methods. Eighteen percent of them did not make an individual treatment plan based on caries risk.
The familiarity of DDPs regarding Dutch prevention-oriented methods was lower than its of students (p&lt;0.001). In both groups of respondents, oral hygiene and diet were the two most important factors considered when assessing caries risk in patients whatever their age.
Conclusion: CRA is applied less frequently in the general practice compared to student clinics at university. Our results suggest that dentists in the Netherlands could improve their knowledge about cariology by continuing education. Dental schools should emphasize implementation of the knowledge in clinical practice. In addition, a uniform and evidence-based method to perform CRA in the dental practice is needed.
DOI: 10.15468/dl.4npp8y
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eucalyptus gomphocephala A.Cunn. ex DC.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 738 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007842-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xptn5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adonis distorta Ten.",
 "Year 1960-2025"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007843-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/mvtf-5554
title: University industry collaboration dataset

description: The dataset was constructed based on the World Economic Forum's Global Competitive Index (GCI) historical dataset. The data collected is anchored on four main pillars that influence university-industry collaboration performance (UIC): Higher learning and research institutes (pillar I), Government involvement (pillar II), Resources (pillar III), and Absorptive capacity (pillar IV). The dataset records 21 indicators of over 140 countries on 4 pillars of university-industry collaboration performance between 2007 and 2017. The “UIC performance” measured using a scale of 1-7, 1 being the worst and 7 being the best, was used as a baseline for coding the class attribute (UIC). A UIC performance score below 3 was coded as “low”, a score between 3 and 5 was coded as “medium”, while any score above 5 was coded as “high”.
DOI: 10.15468/dl.tfmdn6
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Pakistan",
 "TaxonKey is Tringa erythropus (Pallas, 1764)"
 ]
}

 The dataset includes 114 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007783-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbdr78
title: Occurrence Download

description: A dataset containing 2359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eucalyptus grandis W.Hill ex Maiden)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 2359 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007784-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48804/lkt5ac
title: Replication Data for: Robust Multimodal Learning Framework For Intake Gesture Detection Using Contactless Radar and Wearable IMU Sensors

description: A contactless radar and wearable IMU multimodal dataset for eating and drinking gesture detection. It contains 52 meals from 52 participants (17 females and 35 males). The total duration of the collected dataset is 894 min. There are 4050 eating gestures and 797 drinking gestures in total. This dataset can be further used for human activity recognition study.
DOI: 10.57745/v4rup5
title: Mohr-Coulomb.txt

description: :unav
DOI: 10.57745/ez430g
title: Experimental_UCS.txt

description: :unav
DOI: 10.15468/dl.khfyv6
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Der Kleintierbesatz alpiner Grünland- und Ackerböden"
 ]
}

 The dataset includes 258 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058534-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/rxol7j
title: Experimental_DS.txt

description: :unav
DOI: 10.57745/xjr2l5
title: MANIFEST.TXT

description: :unav
DOI: 10.57745/6fhul5
title: README_L6EIIT_2025.pdf

description: :unav
DOI: 10.57745/l6eiit
title: Unconfined Compressive Strength and Mohr–Coulomb properties of cement stabilized soils: experimental data

description: The data presented here encompass the experimental preparation and results of Unconfined Compressive Strength (UCS) tests and Direct Shear (DS) tests on two Cement Stabilized Soils (CSS). Both materials were treated with variable cement contents and degrees of compaction around a reference mixture. They were tested after several curing times. Preparation followed the French guideline for soil treatment. Cement type is CEM II/A-LL 42.5 R.
DOI: 10.15468/dl.rjma59
title: Occurrence Download

description: A dataset containing 10087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Picea abies",
 "Year 2020-2025"
 ]
}

 The dataset includes 10087 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058533-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1054662.10fu
title: SH1054662.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054663.10fu
title: SH1054663.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054666.10fu
title: SH1054666.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054667.10fu
title: SH1054667.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054668.10fu
title: SH1054668.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054670.10fu
title: SH1054670.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054671.10fu
title: SH1054671.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054673.10fu
title: SH1054673.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054675.10fu
title: SH1054675.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.