Riga Stradiņš University

Rīga Stradiņš University (RSU) Dataverse is created for RSU researchers to deposit their data there after the end of research projects or other research activities, especially in cases when there are no trusted field specific repositories. Data sets deposited in RSU Dataverse can be openly accessible or with restricted or closed access. It is always possible to contact authors of data sets for cooperation and sharing data sets.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

51 to 60 of 165 Results

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.
Naproxen Dissolution - Permeation Apr 5, 2026 Šitovs, Andrejs, 2026, "Naproxen Dissolution - Permeation", https://doi.org/10.48510/FK2/BCKARL, UNF:6:XkKsg0LEtYv5twsk6h00oQ== [fileUNF] Naproxen tablets dissolution (Nalgesin 550 mg) release profiles and permeation (expressed as apparent permeability coefficient, Papp) across different membrane compositions. With aim to test novel dissolution-permeation setup and apply it to dissolution-permeation studies of poorly soluble drugs. The dissolution-permeation system setup consisted of... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Integration of a Mixed Reality Game With Innovative Eye Tracking System and Breathing Biofeedback for the Enhancement of Adolescent Basketball Players’ Cognitive Function, Breathing Performance and Stress Reduction Apr 3, 2026 Peleckis, Gints; Šuriņa, Sanita; Semjonova, Guna; Liepa, Agris; Pleinica, Solvita; Tang, Jason; Promberga, Estere; Dute, Austra, 2026, "Integration of a Mixed Reality Game With Innovative Eye Tracking System and Breathing Biofeedback for the Enhancement of Adolescent Basketball Players’ Cognitive Function, Breathing Performance and Stress Reduction", https://doi.org/10.48510/FK2/3I18RI, UNF:6:O8v2Yy08KqL7ouExt5Hqig== [fileUNF] This dataset supports a research program on stress management, cognitive function, and breathing performance enhancement in adolescent basketball players (14–17 years), funded by RSU internal consolidation grant (FLPP Nr.5.2.1.1.i.0/2/24/I/CFLA/005, €173,216). Comprises 2 pilot studies and 1 RCT feasibility trial comparing breathing or cognitive VR... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Human Biomonitoring Data from Latvia – HBM4LV Study (2025) Mar 31, 2026 Vanadziņš, Ivars; Matisāne, Linda; Akūlova, Lāsma; Komarovska, Laura; Pavlovska, Ilona; Martinsone, Žanna; Mārtiņsone, Inese; Sproģe, Kristīne; Paegle, Linda; Strēle, Ieva; Bēce, Linda; Matisāne, Monta; Šķesters, Andrejs, 2026, "Human Biomonitoring Data from Latvia – HBM4LV Study (2025)", https://doi.org/10.48510/FK2/DXQNPP, UNF:6:4dNhsY8CYYRq+f4koQ0u7g== [fileUNF] The study “Establishment of the Latvian Human Biomonitoring Programme – HBM4LV” is the first systematic study in the field of human biomonitoring in Latvia. Within a unified methodological framework, it generated representative data on the population’s exposure to several priority groups of chemical substances, including pesticides, metals, persist... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Plants and Vegetal Agency in Latvian Contemporary Art Mar 24, 2026 Kukaine, Jana, 2026, "Plants and Vegetal Agency in Latvian Contemporary Art", https://doi.org/10.48510/FK2/OXTLDR The dataset maps contemporary artists working with vegetal motifs and plant-related concepts in Latvia. Its purpose is to support research on phyto-centered aesthetics in contemporary art and to provide a structured, research-ready resource for art history, digital humanities, and cultural data analysis. Data is collected through research in public... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Physical Health, Quality of Life and Biomarkers of Breast Cancer Survivors Mar 24, 2026 Kļaviņa, Aija; Liepiņa, Sintija; Bernāns, Edgars; Laizāne, Linda; Reihmane, Dace; Rozenšteina, Kristiāna; Kaufmane, Līva Vita, 2026, "Physical Health, Quality of Life and Biomarkers of Breast Cancer Survivors", https://doi.org/10.48510/FK2/D7TFFT, UNF:6:gT462iMTpmkUeiB9OKGZEg== [fileUNF] The primary aim of the data collection was to gain deeper understanding into molecular mechanisms behind the effect of physical activity on health risks factors related to recurrence of the breast cancer. Data collection methods and scales used for participant assessment: 6 Minutes Walking Test (6MWT); 30s sit-to-stand test and 5-repetition sit-to-... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apigenin Solubility in Choline-Chloride and Polyol Based Eutectic Solvents Mar 21, 2026 Mahinovs, Rihards; Pētersone, Līga; Mohylyuk, Valentyn, 2025, "Apigenin Solubility in Choline-Chloride and Polyol Based Eutectic Solvents", https://doi.org/10.48510/FK2/AYXBCV Apigenin (API) is a natural plant flavonoid with anti-inflammatory and cytotoxic properties, whose therapeutic application is often limited by poor water solubility. The aim of this study was to evaluate the solubility of apigenin in various choline chloride (ChCl) and polyol (sorbitol (SOR), xylitol (XYL), mannitol (MAN), sucrose (SUC), isomalt (I... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Patient Reported Outcome Measures in Breast Cancer Patients: a Pilot Study Mar 21, 2026 Poplavska, Elita; Springe, Lauma; Trups-Kalne, Ingrida; Malina, Laura; Tihomirova, Lubova; Steina, Vita, 2026, "Patient Reported Outcome Measures in Breast Cancer Patients: a Pilot Study", https://doi.org/10.48510/FK2/BJWIRG, UNF:6:aWLWsC7hGBaqlCMQ/f88bA== [fileUNF] The goal of the study is to advance understanding of patient-centred care in oncology settings in Latvia by assessing breast cancer patients’ perceptions of their well-being using patient-reported outcome measures (PROMs). Data is collected through questionnaires completed by breast cancer patients undergoing treatment. Patient-reported outcomes we... 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...