cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0025035.10fu
title: SH0025035.10FU

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: 10.3535/8h7-dar-5tk
title: Hippuris vulgaris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/pny-knv-b9a
title: Hippuris vulgaris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0025036.10fu
title: SH0025036.10FU

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: 10.3535/20g-6ys-k5c
title: Viola mirabilis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/v74-ptk-dv1
title: Hippuris vulgaris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/02t-dte-jma
title: Anthriscus sylvestris (L.) Hoffm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/hk8-2pd-fas
title: Viola canina subsp. canina

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/e39-aqs-2j8
title: Viola mirabilis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/knb-3wk-rny
title: Anthriscus sylvestris (L.) Hoffm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/9zq-1cv-njv
title: Viola mirabilis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/w58-xbf-9bm
title: Viola mirabilis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0025037.10fu
title: SH0025037.10FU

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: 10.3535/hdv-ebr-r0e
title: Anthriscus sylvestris (L.) Hoffm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/yzx-g6h-fbr
title: Viola mirabilis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0025038.10fu
title: SH0025038.10FU

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: 10.3535/4xn-854-gkw
title: Anthriscus sylvestris (L.) Hoffm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/z0t-aj8-bfd
title: Viola riviniana Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.6084/m9.figshare.30111916
title: Wheelchair outcome measurement instruments for children: a scoping review

description: This scoping review aimed to explore and map wheelchair outcome measurement instruments for children in the literature. A scoping review was conducted following the Joanna Briggs Institute (JBI) methodology. The review focused on children (≤18 years) manual or motorised wheelchair users, and included primary sources of literature on wheelchair outcome measurement instruments. A search was conducted in nine electronic databases, including grey literature. Data on general characteristics, psychometric properties (validity, reliability, responsiveness) were extracted and analysed descriptively. A total of 27 studies and 33 instruments were included, mostly focused on manual wheelchair users (n=23). Performance-based outcomes instruments were the most common (n=15). Construct validity (n=19) and test-retest (n=19) were the most assessed psychometric property. Responsiveness (n=3) and intra-rater (n=3) were the least reported. The most frequently conducted statistical analyses were: minimal detectable difference (MDD) (n=12), standard error of measurement (SEM) (n = 12), intraclass correlation coefficient (ICC) (n=16) and Pearson correlation (n=9). The most common construct was propulsion perfomance in a manual wheelchair (n=6). Wheelchair outcome measurement instruments for children mainly assess manual wheelchairs, emphasising propulsion perfomance as the primary outcome. Responsiveness and intra-rater are underreported, highlighting a gap for future research. Standardised methodologies and detailed reporting, including sample size specifications, are essential for advancing research and clinical practice. This scoping review informs healthcare professionals about wheelchair outcome measures, psychometric properties, statistical tests, and outcomes.The results can guide future research, clinical practice, and the development of wheelchair outcome measurement instruments by addressing existing gaps.Furthermore, it supports rehabilitation professionals in selecting outcome measures appropriate to the target population and cultural context. This scoping review informs healthcare professionals about wheelchair outcome measures, psychometric properties, statistical tests, and outcomes. The results can guide future research, clinical practice, and the development of wheelchair outcome measurement instruments by addressing existing gaps. Furthermore, it supports rehabilitation professionals in selecting outcome measures appropriate to the target population and cultural context.
DOI: 10.6084/m9.figshare.30111916.v1
title: Wheelchair outcome measurement instruments for children: a scoping review

description: This scoping review aimed to explore and map wheelchair outcome measurement instruments for children in the literature. A scoping review was conducted following the Joanna Briggs Institute (JBI) methodology. The review focused on children (≤18 years) manual or motorised wheelchair users, and included primary sources of literature on wheelchair outcome measurement instruments. A search was conducted in nine electronic databases, including grey literature. Data on general characteristics, psychometric properties (validity, reliability, responsiveness) were extracted and analysed descriptively. A total of 27 studies and 33 instruments were included, mostly focused on manual wheelchair users (n=23). Performance-based outcomes instruments were the most common (n=15). Construct validity (n=19) and test-retest (n=19) were the most assessed psychometric property. Responsiveness (n=3) and intra-rater (n=3) were the least reported. The most frequently conducted statistical analyses were: minimal detectable difference (MDD) (n=12), standard error of measurement (SEM) (n = 12), intraclass correlation coefficient (ICC) (n=16) and Pearson correlation (n=9). The most common construct was propulsion perfomance in a manual wheelchair (n=6). Wheelchair outcome measurement instruments for children mainly assess manual wheelchairs, emphasising propulsion perfomance as the primary outcome. Responsiveness and intra-rater are underreported, highlighting a gap for future research. Standardised methodologies and detailed reporting, including sample size specifications, are essential for advancing research and clinical practice. This scoping review informs healthcare professionals about wheelchair outcome measures, psychometric properties, statistical tests, and outcomes.The results can guide future research, clinical practice, and the development of wheelchair outcome measurement instruments by addressing existing gaps.Furthermore, it supports rehabilitation professionals in selecting outcome measures appropriate to the target population and cultural context. This scoping review informs healthcare professionals about wheelchair outcome measures, psychometric properties, statistical tests, and outcomes. The results can guide future research, clinical practice, and the development of wheelchair outcome measurement instruments by addressing existing gaps. Furthermore, it supports rehabilitation professionals in selecting outcome measures appropriate to the target population and cultural context.
DOI: 10.15156/bio/sh0025039.10fu
title: SH0025039.10FU

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: 10.3535/3ld-xf2-pln
title: Hippuris vulgaris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/s4p-rsb-awz
title: Hippuris vulgaris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.6084/m9.figshare.29875306
title: Commercial wrist-worn wearable devices for older adults: a scoping review

description: This study aims to review the scientific literature on commercial smart wrist-worn devices for monitoring health and well-being in older adults. <b>Materials and methods:</b> Searches were conducted in four electronic databases: PubMed, Scopus, Web of Science and IEEE Xplore. The included studies are original, peer-reviewed, published in English, and involved older adults aged 60 years and older who used commercial smart wrist-worn devices (such as smart bands and smartwatches). Following the eligibility criteria, 14 studies were selected for review. The studies evaluated the effectiveness of these wrist-worn devices in predicting fall risk, detecting atrial fibrillation, and analysing gait patterns and mobility in free-living conditions. Additionally, the devices proved effective in measuring physical activity parameters and assessing sleep. Overall, commercial wrist-worn devices show promise as reliable tools for monitoring health and mobility in older adults. Commercial wrist-worn devices offer reliable tools for assessing and mitigating fall risks in older adults. Incorporating these devices into rehabilitation programs enables early detection of functional decline, supporting targeted interventions to enhance balance and reduce fall incidence.These devices can monitor gait patterns, track step counts, and assess cardiovascular health, giving rehabilitation professionals detailed data to create tailored plans. This enhances the tracking of mobility advancements and health results for older adults.Usability and acceptance of wrist-worn devices among older adults underline their potential for long-term integration into rehabilitation. Devices designed with user-friendly features can encourage consistent use, improving adherence to rehabilitation programs and enhancing quality of life by fostering active participation in health monitoring. Commercial wrist-worn devices offer reliable tools for assessing and mitigating fall risks in older adults. Incorporating these devices into rehabilitation programs enables early detection of functional decline, supporting targeted interventions to enhance balance and reduce fall incidence. These devices can monitor gait patterns, track step counts, and assess cardiovascular health, giving rehabilitation professionals detailed data to create tailored plans. This enhances the tracking of mobility advancements and health results for older adults. Usability and acceptance of wrist-worn devices among older adults underline their potential for long-term integration into rehabilitation. Devices designed with user-friendly features can encourage consistent use, improving adherence to rehabilitation programs and enhancing quality of life by fostering active participation in health monitoring.
DOI: 10.6084/m9.figshare.29875306.v1
title: Commercial wrist-worn wearable devices for older adults: a scoping review

description: This study aims to review the scientific literature on commercial smart wrist-worn devices for monitoring health and well-being in older adults. <b>Materials and methods:</b> Searches were conducted in four electronic databases: PubMed, Scopus, Web of Science and IEEE Xplore. The included studies are original, peer-reviewed, published in English, and involved older adults aged 60 years and older who used commercial smart wrist-worn devices (such as smart bands and smartwatches). Following the eligibility criteria, 14 studies were selected for review. The studies evaluated the effectiveness of these wrist-worn devices in predicting fall risk, detecting atrial fibrillation, and analysing gait patterns and mobility in free-living conditions. Additionally, the devices proved effective in measuring physical activity parameters and assessing sleep. Overall, commercial wrist-worn devices show promise as reliable tools for monitoring health and mobility in older adults. Commercial wrist-worn devices offer reliable tools for assessing and mitigating fall risks in older adults. Incorporating these devices into rehabilitation programs enables early detection of functional decline, supporting targeted interventions to enhance balance and reduce fall incidence.These devices can monitor gait patterns, track step counts, and assess cardiovascular health, giving rehabilitation professionals detailed data to create tailored plans. This enhances the tracking of mobility advancements and health results for older adults.Usability and acceptance of wrist-worn devices among older adults underline their potential for long-term integration into rehabilitation. Devices designed with user-friendly features can encourage consistent use, improving adherence to rehabilitation programs and enhancing quality of life by fostering active participation in health monitoring. Commercial wrist-worn devices offer reliable tools for assessing and mitigating fall risks in older adults. Incorporating these devices into rehabilitation programs enables early detection of functional decline, supporting targeted interventions to enhance balance and reduce fall incidence. These devices can monitor gait patterns, track step counts, and assess cardiovascular health, giving rehabilitation professionals detailed data to create tailored plans. This enhances the tracking of mobility advancements and health results for older adults. Usability and acceptance of wrist-worn devices among older adults underline their potential for long-term integration into rehabilitation. Devices designed with user-friendly features can encourage consistent use, improving adherence to rehabilitation programs and enhancing quality of life by fostering active participation in health monitoring.
DOI: 10.15156/bio/sh0025040.10fu
title: SH0025040.10FU

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: 10.3535/r3d-qvx-elp
title: Anthriscus sylvestris (L.) Hoffm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/wha-6pr-adc
title: Anthriscus sylvestris (L.) Hoffm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0025041.10fu
title: SH0025041.10FU

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: 10.3535/5k1-cgy-yz0
title: Viola mirabilis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/7hk-7ze-php
title: Viola mirabilis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0025042.10fu
title: SH0025042.10FU

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: 10.3535/aas-q8h-a1g
title: Viola riviniana Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/gce-vwz-nf7
title: Viola riviniana Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.