31 to 40 of 1,478 Results
Apr 27, 2026
Bernāns, Edgars; Brūvere, Daido Dagne, 2025, "Stride Frequency Perturbation in Sub-Threshold Running: A Biomechanical and Physiological Dataset", https://doi.org/10.48510/FK2/8PLBVD, UNF:6:HU0FoRZEvYwlrgcuPuh1uw== [fileUNF]
The dataset consists of running physiology and biomechanics data. Subjects performed 5 types of runs in total with at an intensity below the anaerobic threshold. The first run was a free run, during which each runner’s natural (preferred) step frequency (cadence) was determined. The next three runs were performed with the metronome - the second run...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 27, 2026
Reihmane, Dace; Akuratere, Gundega; Flensted-Jensen, Mathias; Dela, Flemming, 2026, "EXPOSE: Physical Performance and Body Composition Characterization during Concurrent Training with Polyphenols in Aging Adults: A Randomized Trial", https://doi.org/10.48510/FK2/BLPPB3, UNF:6:U0S/nnQ5QS6g1e7LpNvdfQ== [fileUNF]
This data set was generated to characterize physical performance and body composition in older adults participating in a randomized trial examining the effects of concurrent training combined with polyphenol supplementation. It includes repeated measurements collected before and after the intervention to assess functional capacity, muscle performan...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 27, 2026
Reihmane, Dace; Laizāne, Linda; Rozenšteina, Kristiāna; Justamente, Ilze; Akuratere, Gundega; Raudeniece, Jeļena, 2026, "TCReX: Physical Performance and Body Composition Characteristics of Premenopausal Women", https://doi.org/10.48510/FK2/C6ZL5B, UNF:6:qaEHwgpkMoC5fkLhOOcd+w== [fileUNF]
This data set was generated to characterize physical performance and body composition in premenopausal women participating in a study investigating the anticarcinogenic effects of exercise in breast cancer survivorship. It includes standardized measurements of functional capacity, exercise performance, and body composition collected under controlle...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 27, 2026
Reihmane, Dace; Akuratere, Gundega; Kļaviņš, Kristaps; Flensted-Jensen, Mathias; Dela, Flemming, 2026, "EXPOSE: Systemic Metabolomic Responses to Concurrent Training with Polyphenols in Aging Adults: A Randomized Trial", https://doi.org/10.48510/FK2/G2KXQS, UNF:6:fThuuoQp3v1YbL5YPPwSlA== [fileUNF]
This metabolomics data set was generated to characterize metabolic responses related to aging and interventions (concurrent exercise training and polyphenol supplementation) to prevent muscle wasting in older adults. It includes targeted metabolite profiles from blood samples collected at baseline and during/after intervention. Samples were extract...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 27, 2026
Reihmane, Dace; Akuratere, Gundega; Pivovarova-Ramich, Olga; Flensted-Jensen, Mathias; Dela, Flemming, 2026, "EXPOSE: Systemic Biomarker Responses to Concurrent Training with Polyphenols in Aging Adults: A Randomized Trial", https://doi.org/10.48510/FK2/IWNXI7, UNF:6:i5QNSavKarOZHP5A1O0Zkg== [fileUNF]
This data set was generated to characterize systemic biomarker responses in older adults participating in a randomized trial investigating the effects of concurrent training combined with polyphenol supplementation. It includes repeated biomarker measurements from biological samples collected before and after the intervention to evaluate physiologi...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 25, 2026
Bartušēvica, Santa; Mednieks, Jānis; Platkājis, Ardis; Ševčenko, Aleksejs; Šilovs, Artūrs; Šķilters, Jurģis; Umbraško, Solvita; Zariņa, Līga; Zdanovskis, Nauris, 2026, "A Dataset Integrating Cognitive, Neurological, Eye-Tracking, and MRI Measures for Assessment of Parkinson’s and Huntington’s Disease", https://doi.org/10.48510/FK2/S8GLCF, UNF:6:e5x+IbaPt9lDH+boe+FoUg== [fileUNF]
A data set consists of cognitive and perceptual measurements, as well as brain volumetric and tractography measures from MRI scans. Data aimed to allow early identification of neurodegenerative diseases (Parkinson’s disease (PD), Huntington’s disease (HD)) based on comparisons of various experimental cognitive and perceptual measurements (mental ro...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 25, 2026
Šneidere, Kristīne, 2026, "Riga Cognitive Screening Task development data matrix", https://doi.org/10.48510/FK2/ZJASLB
The aim of the study was to develop an innovative cognitive screening tool for detecting symptoms of mild cognitive decline (MCI) and/or dementia that would take into consideration not only the current cognitive status, but also the protective (cognitive reserve) factors of the client/patient, thus creating a more personalized approach to screening...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 25, 2026
Bartušēvica,Santa; Mednieks, Jānis; Platkājis, Ardis; Ševčenko, Aleksejs; Šilovs, Artūrs; Šķilters, Jurģis; Umbraško, Solvita; Zariņa, Līga; Zdanovskis, Nauris, 2026, "Eye-Tracking Coordinate Data of Mid-Level Visual Processes in Parkinson’s and Huntington’s Disease", https://doi.org/10.48510/FK2/JJDLNT, UNF:6:31j1Z6vd3kRVEgJi4KvNIw== [fileUNF]
This data set consists of eye-tracking coordinate data. Data aimed to allow early identification of neurodegenerative diseases. It includes participants diagnosed with Parkinson’s disease (PD, n = 25) and Huntington’s disease (HD, n = 14), along with a control group (n = 36) matched to the clinical groups. Eye-tracking measures reflect mid-level pe...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 25, 2026
Silovs Arturs, 2026, "Neuromelanin-Sensitive MRI Substantia Nigra Measurements in Parkinson’s Disease", https://doi.org/10.48510/FK2/JUGRFB
This dataset was created as part of the Latvian Council of Science research project (lzp-2022/1-0100) aimed at developing an integrative approach to the assessment of cognitive abilities in patients with neurodegenerative diseases of the central nervous system. It contains neuromelanin-sensitive MRI signal intensity measurements from the substantia...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 25, 2026
Rimere, Nadina; Dolgiha, Jelizaveta; Reste, Jeļena; Kaļužnaja, Darja; Keizane Aleksandra; Fernate, Andra; Mestalo, Jana; Silkane, Vineta; Vende-Kotova, Kristīne; Vanadziņš, Ivars; Burčeņa, Marija, 2026, "Multidisciplinary approach for the development of sustainable habit of regular physical activity among sedentary workers: Full dataset", https://doi.org/10.48510/FK2/2JV48P, UNF:6:zzLCePPNqCZoNtp0KPPfNQ== [fileUNF]
This dataset supports a multidisciplinary interventional study evaluating psychological, organizational, and individual human factors for developing sustainable habits of regular physical activity among sedentary workers. The study employed a parallel-group experimental design with five participant groups: physical intervention (F), psychological i...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
