1 to 10 of 34 Results
Jun 5, 2026 - Social Sciences
Lāma, Gatis; Kosīte, Daina; Rozenberga, Gita; Melderis, Mikus; Andersone, Iveta; Badūne, Laura; Dukulis, Ilmars; Judrups, Janis; Vecpuise, Elza, 2026, "Dataset for survey "Open Science and Research Data Management Practices in Latvia" / Aptaujas dati "Atvērtās zinātnes un pētniecības datu pārvaldības prakse Latvijā"", https://doi.org/10.71782/DATA/VASTUK, DataverseLV, V2, UNF:6:B7hQczM3ChoTPq7qwNhC9w== [fileUNF]
EN: This dataset supports a study that analyzes Latvian researchers’ understanding, skills, and practices in the fields of open science and research data management, with particular attention devoted to the data lifecycle. The empirical research was conducted within the framework of the project “Support for the Implementation of Open Science in Pra... |
May 28, 2026 - Natural Sciences
Locs, Mārtiņš, 2026, "Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā", https://doi.org/10.71782/DATA/FGYBPI, DataverseLV, V1, UNF:6:066QXtZICNQDYrxCHKAufg== [fileUNF]
[ENG] This repository was created to maintain and ensure the storage of large files of the bachelor's thesis, as well as to reproduce the work progress and results. The study evaluated the accuracy of the deep learning classifier BirdNet in passive acoustic monitoring of reed birds in Latvia. Autonomous recording units were placed in 24 randomly se... |
May 25, 2026 - Social Sciences
Birka, Ieva, 2026, "Dataset for the project: Empowering Baltic Resilience: From Awareness to Action via Technology", https://doi.org/10.71782/DATA/WH6ARB, DataverseLV, V1, UNF:6:eE3QURg7kje8OqvnFWf8LQ== [fileUNF]
Project: "Empowering Baltic Resilience: From Awareness to Action via Technology” LZP-2025/1-0191. Research project explores the readiness of citizens in Latvia, Estonia and Lithuania to identify and report suspicious activities in the face of hybrid threats, evaluates available reporting mechanisms and public awareness of reporting procedures. Furt... |
May 19, 2026 - Natural Sciences
Puķītis, Kārlis, 2026, "Optical spectra of the star IRAS Z02229+6208", https://doi.org/10.71782/DATA/0SDD0F, DataverseLV, V1
Spectra of the star IRAS Z02229+6208 in the wavelength range from 404 to 906 nm with spectral resolution R=30000. Project: Exploration of near-infrared and short-term variability in spectra of planetary nebulae precursors (LU-BA-PG-2024/1-0020). DMP link: https://doi.org/10.5281/zenodo.17278226 |
May 7, 2026 - Medical and Health Sciences
Blezūra-Ūdre, Gunta; Jēkabsons, Deivids; Baumane, Kristīne; Valeinis, Jānis, 2025, "Efficacy of gonioscopy-assisted transluminal trabeculotomy in different stages of pseudoexfoliative glaucoma: A prospective study", https://doi.org/10.71782/DATA/ZAKBBD, DataverseLV, V3, UNF:6:pXTboL78RQPr58aboEI7WA== [fileUNF]
The data files contain information on patients with pseudoexfoliative glaucoma who participated in a prospective study to compare the efficacy of gonioscopy-assited transluminal trabeculotomy (GATT) between groups with mild to moderate and advanced pseudoexfoliative glaucoma. All patients underwent GATT or GATT in combination with cataract surgery.... |
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 - 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 |
