41 to 50 of 405 Results
Mar 23, 2026 - Engineering and Technologies
Zagorska, Jelena; Ciprovica, Inga; Illarionova, Valerija; Majore, Kristine; Kirse-Ozolina, Asnate, 2026, "Proteolytic Activity of Mesophilic Lactic Acid Bacteria in Fermented Milks", https://doi.org/10.71782/DATA/LFYHZV, DataverseLV, V1, UNF:6:59pwjMUDA330qSpIyF7vtA== [fileUNF]
Datasets provide data regarding proteolytic activity of commercial mesophilic lactic acid bacteria starter cultures. The datasets include information about mesophilic lactic acid bacteria (Leuconostoc spp., Lactococcus spp.) growth rate, pH, non-protein compounds, free amino acids, protein fractions changes in fermented milks after fermentation and... |
Mar 21, 2026 - Rīga Stradiņš University
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. |
Mar 21, 2026 - Rīga Stradiņš University
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. |
The Latvian Institute of Aquatic Ecology (LHEI) Dataverse contains research data generated by LHEI scientists across several key research areas related to marine ecosystems, marine spatial planning, biological effects, non-indigenous species, and pollutants. The collection features data on the seasonal dynamics of plankton and benthic organisms, hy... |
Mar 20, 2026 - Medical and Health Sciences
Kiršners, Arnis; Ābols, Artūrs; Mikilps-Mikgelbs, Rihards; Priedols, Miks; Krams, Alvils; Stonāns, Ilmārs; Pūpola, Dārta; Dauss, Edgars, 2026, "Dataset of bronchoalveolar lavage extracellular vesicle miRNA profiles, demographic, clinical and genetic biomarkers for early lung cancer diagnostics", https://doi.org/10.71782/DATA/6RUGQW, DataverseLV, V1, UNF:6:qv/c9YXpgFT4GGuZzJqbDA== [fileUNF]
The files contain information about 69 lung cancer patients and a control group who have agreed to participate in the study and are included in the University of Latvia Biobank. The information includes demographic data; clinical data: radiological examinations, laboratory tests, lung function tests; liquid biopsy test, which determines circulating... |
Mar 17, 2026 - Medical and Health Sciences
Gašenko, Evita, 2025, "Incorporation of Latvian gastric cancer patients and control cohorts into the international epidemiological StoP project", https://doi.org/10.71782/DATA/ZBXNOJ, DataverseLV, V2, UNF:6:oyIuMFTAVfnryDtQgBdgNA== [fileUNF]
The data files contain information on patients with gastric cancer (data.csv) and healthy control group (data_control_group.csv), who had agreed be a part of The University of Latvia (LU) biobank. It contains information on patients' epidemiological data (age, sex, weight, height, personal and family anamnesis of cancer), cancer data (stage, locali... |
Mar 16, 2026 - Agricultural Sciences, Forestry and Veterinary Science
Vircava, Ilze; Skapste, Inese; Skutele, Kristiana; Žaimis, Uldis; Grinberga-Zalite, Gunta, 2026, "Assessment of Biostimulant effectiveness across Mineral and Organic Soil substrates", https://doi.org/10.71782/DATA/GFNEND, DataverseLV, V1, UNF:6:x/Jay2ZvsofFn8CVc41RFQ== [fileUNF]
Dataset provides experimental data regarding the effect of Furcellaria lumbricalis algae digestate biostimulant on plant development and total dry matter yield of garden radishes (Raphanus raphanistrum subsp. sativus) grown in different soil substrates. The dataset includes information about soil chemical properties, plant physiological indicators... |
Mar 16, 2026 - Medical and Health Sciences
Grabovskis, Andris; Rubins, Uldis, 2026, "Remote photoplethysmography RAW data of Septic shock ICU patient bedside examinations: palm dorsal side during Passive Leg Rising Test, and noradrenaline administration", https://doi.org/10.71782/DATA/XGBZKN, DataverseLV, V1, UNF:6:H7a78ZnyXdWTjQalCN7Veg== [fileUNF]
Project: Multiparametric optical technique for fluid resuscitation and vasopressor therapy guidance in critically ill COVID-19 patients” ID: lzp-2022/1-0326. This dataset corresponds to work package 3 of the project. Two file groups are included: 1) DD-MM-YYYY-HHMMSS_ppg.csv - remote photoplethysmography RAW data taken from palm dorsal side (thumb)... |
Mar 13, 2026 - Medical and Health Sciences
Grabovskis, Andris; Marcinkevics, Zbignevs, 2026, "Combined measurements acquired using Finapres, Recapilarizator and remote photoplethysmography", https://doi.org/10.71782/DATA/0WC2XE, DataverseLV, V1, UNF:6:4LCwmJ1y8zpqpfdTzxnVcw== [fileUNF]
Project: Multiparametric optical technique for fluid resuscitation and vasopressor therapy guidance in critically ill COVID-19 patients” ID: lzp-2022/1-0326. This dataset corresponds to Work Package Nr. 2 as per project description. |
Mar 12, 2026 - Social Sciences
Spilbergs, Aivars; Sloka, Biruta, 2027, "Survey on generative AI adoption by Baltic Sea region business schools' students and academic staff", https://doi.org/10.71782/DATA/UCTC9U, DataverseLV, V1, UNF:6:x545pL4GC0hOjAHQCxe4mw== [fileUNF]
In this dataset, the obtained results from a survey on generative AI adoption by Baltic Sea region business schools' students and academic staff are summarized. DMP: https://zenodo.org/records/18889901 , WP-4 |
