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31 to 40 of 165 Results
Jun 5, 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.
Jun 5, 2026
Kolesova, Oksana; Vanaga, Ieva; Kolesovs, Aleksandrs; Viksna, Ludmila, 2026, "Dynamics of liver functional tests and liver parenchymal changes during 2.5-3 years follow-up after the first COVID-19", https://doi.org/10.48510/FK2/ZQGTOV, UNF:6:fRPeu12A4n80iB42tqjgJw== [fileUNF]
The dataset includes variables at two timepoints (at 3-9 months and 2.5-3 years) after the first COVID-19 episode in a sample of 28 patients: age, gender, severity of the first COVID-19 episode accordantly the World Health Organization definition (non-severe, severe, critical), self-reported recovery (yes/no, long-lasting symptoms (categories – gen...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 4, 2026
Grope, Ilze; Potetinova, Inguna, 2025, "General Practitioners' Perceptions of Family Medicine in Latvia: Qualitative Interview Data", https://doi.org/10.48510/FK2/UWVXRB
Interviews with the practicing general practitioners about their perceptions of family medicine in Latvia: qualitative interview data. Includes 15 anonimized interview files.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 3, 2026
Grope, Ilze; Potetinova, Inguna, 2025, "Residents' in Family Medicine Perceptions of Family Medicine in Latvia: Qualitative Interview Data", https://doi.org/10.48510/FK2/FMVLEO
Data set includes transcripts of interviews with 15 (medical) residents in family medicine from Latvia.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
May 22, 2026
Grope, Ilze; Bite, Dina, 2025, "Medical Students' Perceptions of Family Medicine in Latvia: Qualitative Interview Data", https://doi.org/10.48510/FK2/LTPBJQ
This dataset contains pseudonymised interview transcripts with 3rd–6th year medical students about their career choices and perceptions of Family Medicine in Latvia. The interviews explore students’ motivations, experiences during medical studies, attitudes toward general practice, perceived prestige of medical specialties, and views on working in...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
May 15, 2026
Kaļva, Kalvis; Zdanovskis, Nauris; Ušacka, Agnese; Litauniece, Zane Anna; Freibergs, Zigmunds; Gailīte, Linda; Stepens, Ainars, 2025, "Modifiable bio and life-style markers in predicting cognitive decline (MOBILE-COG)", https://doi.org/10.48510/FK2/4U5FSY, UNF:6:fE8W0hI/bQbPhGXmE6/5OA== [fileUNF]
A cross-sectional study, aiming to identify potential neural, cognitive and life-style predictors of cognitive decline in adults aged 55+. Each participant attended four approximately 1,5-hour sessions during which they completed the test battery evaluating the neuropsychological status, took part in obtaining event-related potentials with EEG. Str...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
May 7, 2026
Bernans, Edgars; Ozola, Gunta, 2026, "Treadmill Running Kinematics and Heart Rate Dataset Across Experimental Running Tasks", https://doi.org/10.48510/FK2/K6W5E5
The deposited data consist of two interrelated datasets collected during treadmill running trials. The first dataset contains running kinematic parameters obtained with an optoelectronic measurement system. The second dataset contains heart rate data collected during the same experimental running tasks. The datasets are intended to support analysis...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 30, 2026
Pētersone, Līga; Žogota, Marta; Mahinovs, Rihards; Mohylyuk, Valentyn, 2026, "Inductively Coupled Plasma Mass Spectrometry (ICP-MS) of Japanese Quince Biomass", https://doi.org/10.48510/FK2/ARNQ6J, UNF:6:AndBqwP5bu2dOOh6l90slQ== [fileUNF]
Trace elements and minerals are essential to the biological processes of all living things, including humans and other mammals. However, the presence of inorganic elements could complicate the processing of Japanese quince biomass and affect the quality of the end products. ICP-MS is one of the most recommended techniques for trace element analysis...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 30, 2026
Mahinovs, Rihards; Pētersone, Līga; Mohylyuk, Valentyn, 2025, "Ibuprofen Solubility in Eutectic Solvents Formed by Choline-Chloride and Polyols", https://doi.org/10.48510/FK2/MR9VST, UNF:6:sV6B1KE00R9HOKlCNEPbWA== [fileUNF]
Ibuprofen (IBU) is a widely known nonsteroidal anti-inflammatory drug used to treat various diseases, but due to its poor solubility, its bioavailability and formulation options are limited. The aim of this study was to evaluate the solubility of ibuprofen in various choline chloride (ChCl) and polyol (sorbitol (SOR), xylitol (XYL), mannitol (MAN),...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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.
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