1 to 10 of 296 Results
Oct 31, 2025 - Rīga Stradiņš University
Sawant, Aniket; Vilne, Baiba; Grike, Irina, 2025, "Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences", https://doi.org/10.48510/FK2/KGA2R9, UNF:6:ed0Izgs+dERGio2qnTxGGQ== [fileUNF]
Coronary Artery Diseases (CAD) contribute significantly to the global morbidity and mortality. While genome-wide association studies have identified numerous nuclear genomic variants linked to CAD, these account for less than 20 % of the disease’s estimated heritability (variation in disease risk attributed to genetic factors), suggesting the poten...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Oct 31, 2025 - Rīga Stradiņš University
Kivite-Urtane, Anda; Kozacenko, Jekaterina; Kukoja, Katrine, 2025, "Culture and Health for Vulnerable Groups: Status Quo in the Baltic Countries", https://doi.org/10.48510/FK2/LJE9PV
The study aimed to gather perspectives from stakeholders at the macro, meso, and micro levels regarding existing and desired approaches and practices in the health and cultural sectors in Latvia. Data were collected through semi-structured, in-depth interviews with stakeholders across all three levels, including representatives of vulnerable social...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Oct 30, 2025 - Rīga Stradiņš University
Šķestere, Lāsma; Rožukalne, Anda; Kleinberga, Vineta; Karulis, Miervaldis, 2025, "PROMPT Codebook", https://doi.org/10.48510/FK2/HZSU5Z
The PROMPT Codebook is a comprehensive framework for the systematic analysis of disinformation narratives, techniques, and rhetorical strategies across digital media. Developed as part of the PROMPT – AI-Driven Methods for Disinformation Detection and Contextualisation project, the codebook provides a detailed categorisation system encompassing 31...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Oct 29, 2025 - Agricultural Sciences, Forestry and Veterinary Science
Kotovs, Daniels; Zacepins, Aleksejs, 2026, "List of the Latvian crops and its interest for honeybee foraging", https://doi.org/10.71782/DATA/BERDTY, DataverseLV, V1, UNF:6:g+Mp/l3dRqwFxx/xMFEC1A== [fileUNF]
The dataset provides a list of crops grown in Latvia and their relevance to honeybee foraging. It includes information about crops that serve as nectar and/or pollen sources, indicating their importance for bee nutrition and pollination activity. The dataset supports studies on bee forage availability, agricultural biodiversity, and the relationshi... |
Oct 24, 2025 - Social Sciences
Pilvere, Aija, 2025, "Datasets for Efficiency and Emissions Performance in Latvian Dairy Farming: An LCA-Based Comparison Across Farm Sizes", https://doi.org/10.71782/DATA/ZRTIQV, DataverseLV, V2, UNF:6:vtIo89AWs4dlgww/AwQaxQ== [fileUNF]
The research presents an evaluation of dairy farming in Latvia and the relationship between farm size, productivity, and environmental impacts. It provides data on economic indicators, milk yields and quality, as well as environmental impact indicators, to compare dairy farms by size in Latvia. A Life Cycle Assessment (LCA) framework was used at th... |
Oct 24, 2025 - Social Sciences
Veipane, Una Diana; Pilvere, Irina; Lillemets, Jüri; Valujeva, Kristine; Nipers, Aleksejs, 2025, "Dataset for Land Use and Production Practices Shape Unequal Labour Demand in Agriculture and Forestry", https://doi.org/10.71782/DATA/PFT36O, DataverseLV, V3
This study develops a spatial distribution of labour inputs across agricultural and forestry land use in Latvia. The labour input 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 result... |
Oct 21, 2025 - Social Sciences
Zeverte-Rivza, Sandija; Furmanova, Ksenija; Grinberga-Zalite, Gunta; Rivza, Baiba; Paula, Liga; Kindzule-Millere, Inita, 2025, "Dataset for a general population survey regarding green and digital innovations in rural SMEs", https://doi.org/10.71782/DATA/MISWCM, DataverseLV, V1, UNF:6:LJK31u+Edt4Ksj89fVl9lg== [fileUNF]
The data were collected by KANTAR Latvia through a structured survey. In shaping the sample, the focus was placed on part of the population who has actually used rural tourism services and purchase locally produced agricultural goods. To make sure their answers would be meaningful, participants were selected based on having enough knowledge and exp... |
Oct 20, 2025 - Engineering and Technology
Kononova, Olga, 2025, "Tensile Test of Epoxy Resin Reinforced with Oil Shale Ash", https://doi.org/10.71782/DATA/EXORM9, DataverseLV, V1, UNF:6:6hOerg0xzSTAzwUYE3dvdw== [fileUNF]
This dataset contains results of tensile (tension) testing performed on epoxy resin specimens reinforced with oil shale ash (OSA), which is an industrial by-product explored as a sustainable additive for improving concrete performance and reducing environmental impact. The tests were conducted to investigate the effect of OSA addition on the stress... |
Oct 20, 2025 - Engineering and Technology
Kononova, Olga, 2025, "Compression Test of Concrete Reinforced with Oil Shale Ash", https://doi.org/10.71782/DATA/LCTP9B, DataverseLV, V1, UNF:6:yoeMmF9uXdTmx/cAEwpuKg== [fileUNF]
This dataset contains results of compressive strength tests conducted on several concrete mixtures reinforced with oil shale ash (OSA), which is an industrial by-product explored as a sustainable additive for improving concrete performance and reducing environmental impact. The data include averaged compression strength values (in MPa) for differen... |
Oct 20, 2025 - Engineering and Technologies
Zacepins, Aleksejs; Kviesis, Armands, 2025, "Bee colony temperature dynamics at the day of the swarming event", https://doi.org/10.71782/DATA/9GKLLX, DataverseLV, V1, UNF:6:ENYjdnMklj/6EgsGH9QB1Q== [fileUNF]
The dataset demonstrates bee colony temperature data on the day of the bee colony swarming. Specific day may vary from colony to colony. The dataset consists of time-series measurements collected from 10 bee colonies, which swarmed during that day. Temperature readings capture thermal regulation inside the hive, which is critical for brood developm... |
