1 to 10 of 15 Results
Feb 27, 2026 - Social Sciences
Lešinskis, Kristaps; Mavļutova, Inese; Vilunas, Ēriks; Valeinis, Jānis, 2026, "Dataset on impact of entrepreneurship workshops and digital tools on entrepreneurial mindset and intention", https://doi.org/10.71782/DATA/983DWL, DataverseLV, V2, UNF:6:vbSpCOIG3IEifsQn6fqDfg== [fileUNF]
Dataset contains questionnaire responses from 189 participants. It includes questions about participants entrepreneurial intention, mindset, attitude towards AI tools etc. Participants were Bachelors students, who were studying in Latvia, questionnaires were filled in before and after workshops. Dataset was obtained as a part of grant project No. L... |
Feb 27, 2026 - Natural Sciences
Laipniece, Lauma, 2026, "Titration Results of Rapeseed Soapstock in i-PrOH with Aqueous Sulfuric, Formic, Acetic, and Citric Acids", https://doi.org/10.71782/DATA/4OYHVZ, DataverseLV, V1, UNF:6:dnA8ibxgMWbyuhiaRcehYA== [fileUNF]
This dataset contains tabulated pH titration results of rapeseed soapstock in i-PrOH using aqueous sulfuric, formic, acetic, and citric acids, including acid consumption values. Titration experiments enabled the identification of buffering regions in rapeseed soapstock and the determination of acid consumption required for efficient alkalinity neut... |
Feb 25, 2026 - Social Sciences
Birka, Ieva, 2026, "Baltic Individual Crisis Preparedness Barometer 2025 (Urban Preparedness for Emerging Risks in the Baltic Sea Region)", https://doi.org/10.71782/DATA/HQANMQ, DataverseLV, V1, UNF:6:CRigwensyuZO1UKW62JMpA== [fileUNF]
Project: The barometer is an annual, large‑scale, metropolitan‑level survey measuring individual threat perception, risk awareness, and household preparedness across major cities in the Baltic Sea region. Each yearly wave includes 1,000 respondents per city. The 2025 data covers Helsinki, Tallinn, Riga, Vilnius, and major German cities, creating a... |
Feb 23, 2026 - Social Sciences
Verdenhofs, Atis, 2026, "Survey response dataset from project "The Role of Digital Finance Innovation in Promoting Sustainable Development Goals (DInnoFin)"", https://doi.org/10.71782/DATA/SBHYOW, DataverseLV, V1
This dataset contains responses from industry experts semi-structured interview “Latvian Fintech industry sustainability”. The questionnaire includes the following sections: (1) assessment of represented fintech in Latvia; (2) evaluation of sustainability; (3) fintech ecosystem evaluation (4) fintech potential assessment. All respondents are from L... |
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 9, 2026 - Medical and Health Sciences
Spigulis, Janis; Rubins, Uldis, 2026, "Multispectral skin lesion images", https://doi.org/10.71782/DATA/J0RMKK, DataverseLV, V1
This project aims at developing an advanced diagnostic methodology for fast grouping of whole-body detected skin malformations and identifying of dermal-invaded malignancies, including skin melanomas. The proposed method is based on combining the triple spectral line whole-body imaging at the visible spectral range with parallel imaging within a ne... |
Jan 29, 2026 - Latvian Academy of Culture
Latvian Academy of Culture, 2026, "Quantitative dataset: Survey data obtained in the project (WP2) on the formal and non-formal educational environment as an institutional framework for civic participation (including decision-making, trust).", https://doi.org/10.71782/DATA/KKLHGY, DataverseLV, V1, UNF:6:I/t3Tolx4/xwHPJ6am5hcg== [fileUNF]
The survey was conducted within the project “Preconditions of Authentic Youth Participation in Formal and Non-Formal Education” (UNFRAMED) (No. VPP-IZM-Izglītība-2023/6-0002), which is funded by the Ministry of Education and Science of the Republic of Latvia under the State Research Programme “Education” (2023–2026). The State Research Programme is... |
Jan 29, 2026 - Latvian Academy of Culture
Latvian Academy of Culture, 2026, "Quantitative dataset: Survey data obtained in the project (WP2) on the prerequisites for civic participation of young people (13-25 years) and the dominant forms of civic participation in formal education settings, non-formal education settings and outside education settings", https://doi.org/10.71782/DATA/AZKVNA, DataverseLV, V1, UNF:6:6K5JP1CslvP7ClwAzg7CUw== [fileUNF]
The survey was conducted within the project “Preconditions of Authentic Youth Participation in Formal and Non-Formal Education” (UNFRAMED) (No. VPP-IZM-Izglītība-2023/6-0002), which is funded by the Ministry of Education and Science of the Republic of Latvia under the State Research Programme “Education” (2023–2026). The State Research Programme is... |
Jan 26, 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, V1, 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... |
