11 to 20 of 131 Results
Mar 7, 2026 - Rīga Stradiņš University
Vanadziņš, Ivars; Matisāne, Linda; Paegle, Linda; Lonska, Jeļena, 2026, "Employee survey on work experience during the second wave of COVID-19 restrictions in Latvia (2021)", https://doi.org/10.48510/FK2/5P3MUF, UNF:6:rQp6JQSIeFAcV0usp25Xkw== [fileUNF]
This survey represents the second wave of an ongoing employee survey series examining how the COVID-19 situation affected employees’ daily work responsibilities, including employer-implemented measures to control virus transmission, the organization of remote work, and the ability to maintain work–life balance. The same core questionnaire and a non...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Mar 7, 2026 - Rīga Stradiņš University
Vanadziņš, Ivars; Matisāne, Linda; Paegle, Linda; Lonska, Jeļena, 2026, "Employee survey on work experience during the third wave of COVID-19 restrictions in Latvia (2022)", https://doi.org/10.48510/FK2/FEDLIM, UNF:6:bkAdd0KsR4LD0Ksf0zDjOQ== [fileUNF]
This survey constitutes the third wave of the ongoing employee survey series on work experience during the COVID-19 situation in Latvia. It continued to assess changes in employees’ daily work responsibilities, employer-implemented infection control measures, remote work organization, and work–life balance using the same core questionnaire and samp...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Mar 4, 2026 - Natural Sciences
Lazda, Reinis; Rudzītis, Oskars; Krūmiņš, Valts; Meilerts, Heinrihs; Jani, Monas; Gahbauer, Florian; Auzinsh, Marcis, 2026, "Photon detection events for detectors after a 50:50 beam splitter", https://doi.org/10.71782/DATA/POAT5L, DataverseLV, V1, UNF:6:h90dcKRrR22jI60eeO5O2Q== [fileUNF]
Recovery and Resilience Facility project "Internal and External Consolidation of the University of Latvia" (No.5.2.1.1.i.0/2/24/I/CFLA/007), grant project “Single Photon Sources for Quantum Technologies Using Nitrogen-Vacancy Centres in Diamond”, No. LU-BA-PA-2024/1-0071. DMP: https://doi.org/10.5281/zenodo.14289100 |
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 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... |
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... |
