Rīga Stradiņš University

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11 to 20 of 159 Results

Eye-Tracking Coordinate Data of Mid-Level Visual Processes in Parkinson’s and Huntington’s Disease 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.
Neuromelanin-Sensitive MRI Substantia Nigra Measurements in Parkinson’s Disease 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.
Multidisciplinary approach for the development of sustainable habit of regular physical activity among sedentary workers: Full dataset 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.
The relationship between physical activity and self-efficacy in healthcare students Apr 25, 2026 Spundiņa, Lāsma; Veseta, Una; Ābele, Agita, 2026, "The relationship between physical activity and self-efficacy in healthcare students", https://doi.org/10.48510/FK2/HYHRUE The research data file aims to explore the interrelationships between physical activity and self-efficacy in healthcare students. The data set contains data obtained from October 2024 to June 2025. The data includes 747 participants between eighteen and fifty-three years of age who study in healthcare study programs including: Medical treatment, Th... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
TCReX: Acute Exercise-Induced Systemic Myokine Responses in Premenopausal Women Apr 16, 2026 Reihmane, Dace; Laizāne, Linda; Rozenšteina, Kristiāna, 2026, "TCReX: Acute Exercise-Induced Systemic Myokine Responses in Premenopausal Women", https://doi.org/10.48510/FK2/DEDSUL, UNF:6:QghcxocQZTuwEE3jed8x1Q== [fileUNF] This data set was generated to characterize acute systemic myokine responses to aerobic exercise in premenopausal women. It includes repeated measurements of circulating myokines in plasma samples collected before, during and after acute continuous exercise sessions of different intensities. Data were obtained using standardized laboratory-based an... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
TCReX: Breast Cancer Cell Viability Profile Based on ATP Levels Apr 16, 2026 Reihmane, Dace; Laizāne, Linda; Pirsko, Valdis, 2026, "TCReX: Breast Cancer Cell Viability Profile Based on ATP Levels", https://doi.org/10.48510/FK2/Z1CSKT, UNF:6:a0reExLipGpGND67acY01w== [fileUNF] This data set was generated to characterize the effects of exercise-conditioned serum on breast cancer cell viability in vitro. It includes ATP-based cell viability measurements obtained after exposing breast cancer cells to serum collected from participants before and after acute aerobic exercise sessions. Data were generated using standardized ce... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
The impact of innovative integrated recreational physical activity intervention on the cognitive abilities, sleep quality and self-efficacy of sport educators Apr 15, 2026 Fernate, Andra; Veliks, Viktors; Volgemute, Katrina; Grants, Juris; Vazne, Žermena; Antapsone, Elina; Talents, Dinass; Steinmane, Valerija, 2026, "The impact of innovative integrated recreational physical activity intervention on the cognitive abilities, sleep quality and self-efficacy of sport educators", https://doi.org/10.48510/FK2/PFR4CW, UNF:6:UhVx4rCmpatsddVF8EM9Tg== [fileUNF] The aim is to evaluate the impact of an innovative integrated recreational physical activity intervention method on the cognitive abilities, sleep quality and self-efficacy of sport educators. The following survey data set were selected, using adopted versions: General Self-Efficacy scale (GSES), Perceived stress scale (PSS), The World Health Organ... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Development of Genetic Testing Strategies for Hereditary Breast and Ovarian Cancer Risk Prediction by Analysis of Spectrum of Predisposing Mutations and Their Phenotypic Manifestations: Clinical Data Apr 11, 2026 Irmejs, Arvīds; Loža, Pēteris; Maksimenko, Jeļena; Daneberga, Zanda; Liepiņa, Elza Elizabete; Čerņeikina, Anneta, 2026, "Development of Genetic Testing Strategies for Hereditary Breast and Ovarian Cancer Risk Prediction by Analysis of Spectrum of Predisposing Mutations and Their Phenotypic Manifestations: Clinical Data", https://doi.org/10.48510/FK2/AJIIVR, UNF:6:lYl2b0nqg1ects0ji1GdSg== [fileUNF] The clinical data of retrospective cohort were collected to calculate Manchester score and CanRisk tool value for all breast and ovarian cancer cases. The NGS targeted panel including 9 genes was performed for samples with previously negative genetic testing results and available biological material. Pathogenicity of genetic variants were classifie... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Development of Genetic Testing Strategies for Hereditary Breast and Ovarian Cancer Risk Prediction by Analysis of Spectrum of Predisposing Mutations and Their Phenotypic Manifestations: Genetic Data Apr 11, 2026 Irmejs, Arvīds; Loža, Pēteris; Maksimenko, Jeļena; Daneberga, Zanda; Liepiņa, Elza Elizabete; Čerņeikina, Anneta, 2026, "Development of Genetic Testing Strategies for Hereditary Breast and Ovarian Cancer Risk Prediction by Analysis of Spectrum of Predisposing Mutations and Their Phenotypic Manifestations: Genetic Data", https://doi.org/10.48510/FK2/B4V921, UNF:6:gYwYsyBKvsICe/EutRp+rA== [fileUNF] The NGS targeted panel including 9 genes was performed for samples with previously negative genetic testing results and available biological material. Pathogenicity of genetic variants were classified using a standardized framework developed by the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Monitoring of physical activity habits of pediatric oncology patients using a digital approach with augmented reality-based interactive game elements Apr 11, 2026 Augstkalne, Keita; Jermolenko, Greta Franceska; Blumberga, Madara; Syundyukov, Emil; Cesuna, Alina; Dubiņina, Evita; Balamovskis-Kalniņš, Klāvs; Semjonova, Guna, 2026, "Monitoring of physical activity habits of pediatric oncology patients using a digital approach with augmented reality-based interactive game elements", https://doi.org/10.48510/FK2/B7L3BO, UNF:6:+dO2jPJRaRP57XVP0eLYFA== [fileUNF] Development and adaptation of a physical activity habit‑monitoring approach for pediatric oncology patients, together with validation data collected from pediatric patients. The primary objective is to validate the physical activity habit‑monitoring approach that will be used for physical activity and PREM data collection, through active engagement... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Eye-Tracking Coordinate Data of Mid-Level Visual Processes in Parkinson’s and Huntington’s Disease

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...