2 datasets found
  1. BGS Superficial Deposits Thickness Model (SDTM) Web service

    • ckan.publishing.service.gov.uk
    Updated Sep 16, 2025
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    ckan.publishing.service.gov.uk (2025). BGS Superficial Deposits Thickness Model (SDTM) Web service [Dataset]. https://ckan.publishing.service.gov.uk/dataset/bgs-superficial-deposits-thickness-model-sdtm-web-service
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    Dataset updated
    Sep 16, 2025
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    This Web service provides layers which are part of the BGS Superficial Deposits Thickness Model (SDTM) series of datasets. It currently includes two layers from the STDM 1 km hex grid dataset, which is available under the Open Government Licence. These two layers are symbolised on the mean and maximum values of the BSTM thickness model within the area of each hexagon. In these two layers, note that the data include a generic value of 1 m thickness for any area where superficial material is present, but is unproven by boreholes (shown on the map by a grey colour).

  2. Fear of falling and postural reactivity in patients with glaucoma

    • plos.figshare.com
    zip
    Updated May 30, 2023
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    Fábio B. Daga; Alberto Diniz-Filho; Erwin R. Boer; Carolina P. B. Gracitelli; Ricardo Y. Abe; Felipe A. Medeiros (2023). Fear of falling and postural reactivity in patients with glaucoma [Dataset]. http://doi.org/10.1371/journal.pone.0187220
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    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Fábio B. Daga; Alberto Diniz-Filho; Erwin R. Boer; Carolina P. B. Gracitelli; Ricardo Y. Abe; Felipe A. Medeiros
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    PurposeTo investigate the relationship between postural metrics obtained by dynamic visual stimulation in a virtual reality environment and the presence of fear of falling in glaucoma patients.MethodsThis cross-sectional study included 35 glaucoma patients and 26 controls that underwent evaluation of postural balance by a force platform during presentation of static and dynamic visual stimuli with head-mounted goggles (Oculus Rift). In dynamic condition, a peripheral translational stimulus was used to induce vection and assess postural reactivity. Standard deviations of torque moments (SDTM) were calculated as indicative of postural stability. Fear of falling was assessed by a standardized questionnaire. The relationship between a summary score of fear of falling and postural metrics was investigated using linear regression models, adjusting for potentially confounding factors.ResultsSubjects with glaucoma reported greater fear of falling compared to controls (-0.21 vs. 0.27; P = 0.039). In glaucoma patients, postural metrics during dynamic visual stimulus were more associated with fear of falling (R2 = 18.8%; P = 0.001) than static (R2 = 3.0%; P = 0.005) and dark field (R2 = 5.7%; P = 0.007) conditions. In the univariable model, fear of falling was not significantly associated with binocular standard perimetry mean sensitivity (P = 0.855). In the multivariable model, each 1 Nm larger SDTM in anteroposterior direction during dynamic stimulus was associated with a worsening of 0.42 units in the fear of falling questionnaire score (P = 0.001).ConclusionIn glaucoma patients, postural reactivity to a dynamic visual stimulus using a virtual reality environment was more strongly associated with fear of falling than visual field testing and traditional balance assessment.

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ckan.publishing.service.gov.uk (2025). BGS Superficial Deposits Thickness Model (SDTM) Web service [Dataset]. https://ckan.publishing.service.gov.uk/dataset/bgs-superficial-deposits-thickness-model-sdtm-web-service
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BGS Superficial Deposits Thickness Model (SDTM) Web service

Explore at:
Dataset updated
Sep 16, 2025
Dataset provided by
CKANhttps://ckan.org/
Description

This Web service provides layers which are part of the BGS Superficial Deposits Thickness Model (SDTM) series of datasets. It currently includes two layers from the STDM 1 km hex grid dataset, which is available under the Open Government Licence. These two layers are symbolised on the mean and maximum values of the BSTM thickness model within the area of each hexagon. In these two layers, note that the data include a generic value of 1 m thickness for any area where superficial material is present, but is unproven by boreholes (shown on the map by a grey colour).

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