1 to 10 of 36 Results
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... |
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... |
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... |
Mar 23, 2026 - Social Sciences
Muska, Aina; Pilvere, Irina; Muska, Kristaps; Nipers, Aleksejs, 2026, "Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics", https://doi.org/10.71782/DATA/RB6BBQ, DataverseLV, V2, UNF:6:OhgwC050JGuylKskyKfAmQ== [fileUNF]
This dataset contains calculated Location Quotient (LQ) values that measure the degree of specialisation of European Union Member States across eleven organic farming categories. In this context, a “category” denotes a specific type of organic agricultural land use or a group of organically cultivated crops. The LQ values compare national specialis... |
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 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... |
Feb 20, 2026 - Natural Sciences
Ozola-Davidane, Ruta; Ozolina-Laursone, Katrina Anna; Berzina, Laima; Grabuza, Dagnija; Ievinsh, Gederts; Osvalde, Anita, 2026, "Dataset on effects of wastewater-derived mineral-based sorbents on Vicia faba growth, photosynthesis and soil parameters", https://doi.org/10.71782/DATA/O6KM4T, DataverseLV, V1, UNF:6:n/BYQZi9V9eXPuxz1gv4pw== [fileUNF]
Dataset provides data regarding effects of three mineral-based sorbents used for wastewater treatment on plant (Vicia faba) morphology and photosynthetic parameters as well as effects on soil pH and electroconductivity. |
Feb 16, 2026 - Engineering and Technologies
Komasilovs, Vitalijs; Filipovics, Maksims; Komasilova, Olvija, 2026, "Hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta", https://doi.org/10.71782/DATA/MODVMZ, DataverseLV, V1, UNF:6:s+HIm7ZjqV+JCbZ4AsKw3A== [fileUNF]
The dataset consists of hyperspectral images (HS) and associated data of tomato leaves captured during a disease development study. Number of trials took place in an experimental greenhouse where tomatoes of cultivar Encore were inoculated with Alternaria protenta pathogens, and the development of the disease on leaves was captured on a regular bas... |
Feb 10, 2026 - Social Sciences
Bilande, Kristine; Veipane, Una Diana; Nipers, Aleksejs; Pilvere, Irina, 2026, "Dataset for comparing agricultural and forestry profitability at the parcel level", https://doi.org/10.71782/DATA/KINURI, DataverseLV, V2
This study develops a spatial distribution of profitability across agricultural and forestry land use in Latvia. The profitability at the individual parcel level has been calculated, taking into account the characteristics of each plot and management practices. However, to ensure a clear and transparent spatial visualisation, the parcel-level resul... |
