1 to 10 of 32 Results
Jun 19, 2026 - Social Sciences
Kūlis, Māris; Šūpule, Inese; Mieriņa, Inta; Kaprāns, Mārtiņš; Koroļeva, Ilze; Čekse, Ireta; Lastovska, Agnese; Priedols, Mārtiņš; Feldmane, Līga, 2026, "Public opinion survey for the State Research Programme project "Vectors of Social Cohesion", 2024–2025", https://doi.org/10.71782/DATA/UMUCFZ, DataverseLV, V1, UNF:6:Tx2qU1rp0TmOn+2Z2pVKEA== [fileUNF]
[en] The aim of the public opinion survey is to find out the opinions of members of society regarding national identity and a sense of belonging, state and civic cohesion, and the experiences of society members regarding social and geographic mobility and a sense of mutual trust. The aim of the project is to conduct a comprehensive analysis of Latv... |
Jun 9, 2026 - Engineering and Technologies
Neiburgs, Arturs, 2026, "EC3 Steel Portal Frame Structural Analysis Dataset", https://doi.org/10.71782/DATA/ATTVHB, DataverseLV, V2
A structural engineering dataset of 4,940 parametrically generated single-span steel portal frames verified according to Eurocode 3. The dataset covers frame-level and element-level information from finite element analyses performed with Karamba3D 3.1 in Grasshopper/Rhinoceros 3D, including geometry, loads, deflections, steel weight, section proper... |
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 |
Apr 27, 2026 - Latvian Academy of Culture
Balodis, Andrejs, 2026, "Biogrāfisko interviju transkripcijas projektā "Konversijas un parrāvumi: latviešu filozofijas epistēmiskās stratēģijas padomju periodā (1944-1991)"", https://doi.org/10.71782/DATA/QVUERT, DataverseLV, V1
Pētījumā izmantota jauktu metožu pieeja, kas apvieno ideju, ideoloģiju un sociāli kultūras konteksta historiogrāfiskus pētījumus ar kvalitatīvu empīrisko izpēti. Pieeja ietver (a) vēsturisko avotu izpēti par periodiem (1944–1953 un 1981–1990) un (b) kvalitatīvu empīrisko izpēti, konkrētāk biogrāfiskās izpētes metodes, lai atklātu pārrāvumus Padomju... |
Apr 23, 2026 - Social Sciences
Muska, Aina; Pilvere, Irina; Muska, Kristaps; Nipers, Aleksejs, 2026, "Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal", https://doi.org/10.71782/DATA/GATVHS, DataverseLV, V2, UNF:6:X3N1WKsN8DiHe0ORT+bgIg== [fileUNF]
The contributions of EU Member States were assessed over two periods: (1) the progress period, defined as the change between the averages for 2012–2015 and 2016–2019; and (2) the target period, defined as the change between the averages for 2020–2024 and 2024–2027. During the progress period, the differentiation of Member States was based on two in... |
Apr 9, 2026 - Social Sciences
Mirke, Evija, 2026, "Survey Data on Latvian K-12 Teachers' Readiness for Generative Artificial Intelligence Adoption", https://doi.org/10.71782/DATA/YRM6OS, DataverseLV, V1
This dataset contains quantitative data collected through a cross-sectional survey of K-12 teachers from all regions of Latvia in 2024–2025. The survey measured teachers' readiness to adopt generative artificial intelligence tools using an adapted version of the Technology Readiness Index (TRI 2.0) framework, which was adapted specifically for gene... |
Mar 30, 2026 - Agricultural Sciences, Forestry and Veterinary Science
Alsina, Ina; Alksnis, Reinis; Dubova, Laila, 2026, "Effect of vertical via horizontal growing conditions on the reflectance spectra of leaf mustard leaves", https://doi.org/10.71782/DATA/7F61IV, DataverseLV, V1, UNF:6:vGxDzJLv6iqZwnDFGNWWeA== [fileUNF]
The dataset contains leaf reflectance spectra of mustard greens ‘Red Giant’ collected during plant ontogenesis. The plants were grown in 500 mL vegetation pots, arranged either horizontally or vertically. Plants were fertilized and watered identically. Plants were grown in polycarbonate greenhouse with additional artificial LED lightening with 16/8... |
