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Incorporation of Latvian gastric cancer patients and control cohorts into the international epidemiological StoP project
No full textThe data files contain information on patients with gastric cancer (data.csv) and healthy control group (data_control_group.csv), who had agreed be a part of The University of Latvia (LU) biobank.
It contains information on patients' epidemiological data (age, sex, weight, height, personal and family anamnesis of cancer),
cancer data (stage, localization in the stomach), treatment and laboratory tests
List of the Latvian crops and its interest for honeybee foraging
No full textThe 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 relationship between crop cultivation and honey production. The list of crops is taken from Latvian rural services and its importance to the honeybees is summarised with the support of local beekeeping expert
Dataset for Land Use and Production Practices Shape Unequal Labour Demand in Agriculture and Forestry
No full textThis 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 results were summarised in a single grid with 100-hectare cells (Labour_grid
Public survey data of the research study “Ready for change? Sustainable management of common natural resources”: Thematic survey of May 2020
No full textThe data set and its accompanying information include sociological survey conducted in May 2020 titled "GNP Resident Survey on the Perception of Organic and Conventional farming" as part of the Fundamental and Applied Research project "Ready for change? “Sustainable management of common natural resources” (lzp-2019/1-0319). Ongoing environmental collapse is putting increasing pressure on ecosystems and social communities, particularly, in the regions of Latvia. Thus, survey of Gauja National Park (GNP) residents has been conducted as part of case study to assess attitudes, understanding, and practices of organic and conventional farming, the use of natural resources and sustainable consumption. The survey achieved a sample size of 206 respondents - residents of GNP aged 18 and older. The anonymized dataset was obtained by conducting an internet survey (CAWI) within the RAIT Custom Research Baltic internet survey panel. Data collection took place from May 8, 2020, to May 14, 2020. The survey was conducted by the research center RAIT Custom Research Baltic,
commissioned by researchers from the University of Latvia within the framework of the Fundamental and Applied Research project "Ready for change? “Sustainable management of common natural resources” (lzp-2019/1-0319), conducted at the Advanced Social and Political Research Institute (ASPRI) of the Faculty of Social Sciences of the University of Latvia (LU). The research was funded by the Latvian Council of Science
Datasets for Human Milk Oligosaccharide Comparative Analysis
No full textDatasets provide information on human milk oligosaccharide composition and concentration in mature (at least 28 days post-partum) human milk samples from lactating women in Latvia. Dietary data were collected using a 72-hour food diary and a food frequency questionnaire (FFQ). The datasets include information on participants' anthropometric and sociodemographic characteristics, as well as details on nutrition restrictions, smoking habits, and other relevant factors
Dataset for comparing agricultural and forestry profitability at the parcel level
No full textThis 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 results were summarised in a single grid with 100-hectare cells (Profitability_grid)
Dataset for a general population survey regarding green and digital innovations in rural SMEs
No full textThe 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 experience to comment on the topics of the study. Special attention was paid to balance the sample in terms of gender, age, and region. With these steps, the final group of respondents (n=1004) mirrors the demographic structure of Latvia and can be regarded as nationally representative
Datasets for Evaluation of the Agricultural Green Competitiveness in the European Union
No full textAnalysis of the 15 indicators selected from different data bases to calculate the green competitiveness index of agriculture. The data of the 27 EU Member States: Austria (AT), Belgium (BE), Bulgaria (BG), Croatia (HR), Czech Republic (CZ), Cyprus (CY), Denmark (DK), Estonia (EE), Finland (FI), France (FR), Germany (DE), Greece (EL), Hungary (HU), Ireland (IE), Italy (IT), Latvia (LV), Lithuania (LT), Luxembourg (LU), Malta (MT), the Netherlands (NL), Poland (PL), Portugal (PT), Romania (RO), Slovakia (SK), Slovenia (SI), Spain (ES) and Sweden (SE) were analysed
Replication Data for: Public survey data of the research study “Ready for change? Sustainable management of common natural resources”: Thematic survey of 2022 No. 2
No full textThe data set and its accompanying information include sociological survey conducted in April 2022 titled "Natural resource users’ survey of nature protection in forests" as part of the Fundamental and Applied Research project "Ready for change? “Sustainable management of common natural resources” (lzp-2019/1-0319). Ongoing environmental collapse is putting increasing pressure on ecosystems and social communities, particularly, in the regions of Latvia, as well as it is potentially felt by different users of natural resources. As part of the case study a survey of Latvian population – natural resource users was carried out, meaning two target groups in which a sample was formed – a. fishers and hunters; b. forest owners and / or forest resource users. The survey was carried out in order to study the attitude and assessment of natural resources, including users of forest resources, nature protection assessment in forest territories and ecosystems, necessary solutions and natural resources policy. Latvia internet users population aged 18 and older. The anonymized dataset was obtained by conducting an internet survey (CAWI) within the SKDS internet survey panel, by creating a sample of the natural resource users in aforementioned two target groups. Data collection took place from April 7th to April 11th, 2022. The survey was conducted by the research center SKDS, commissioned by researchers from the University of Latvia within the framework of the Fundamental and Applied Research project "Ready for change? “Sustainable management of common natural resources” (lzp-2019/1-0319), conducted at the Advanced Social and Political Research Institute (ASPRI) of the Faculty of Social Sciences of the University of Latvia (LU). The research was funded by the Latvian Council of Science
Image data and ground truth for evaluation of visual odometry algorithms primarily intended for tree nursery inspection machines
No full textDataset contains 112 RGB images taken using perpendicularly downward facing camera Alvium G5-508 with TECHSPEC® HR Series 16 mm Fixed Focal Length lens, sensor pixel size is 3.45 μm. Image resolution is 2432x2018, images are archived as ZIP file in "Images.zip" containing files "pxxx.png", where xxx is image id. Camera was calibrated using OpenCV tools (https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html), and all images are undistorted using intrinsic matrix obtained as a result of camera calibration. In images Pinus sylvestris (the Scots pine, Scotch pine, Baltic pine, or European red pine) seedlings in cartridges with 40x40 mm cells are captured. For measuring purposes, a ruler is also captured in all images. Exact distance from camera to surface (cartridge with seedlings) was not measured, however it was not changing more than +/-1 mm during capture process. Images were captured with the camera being still with exposure and shutter speed set on auto. Each image was captured after camera was moved (translated) by 10 +/-1 mm over X axis, however due to camera driving mechanism construction, minor translation also over Y axis. Rotation movement was avoided. Camera was moved using rails with stepper motors. View of the experimental setup and axis description is given in file "Setup.pdf". File "Translations.txt" gives "ground truth" information: translation amount in pixels for both axes between consecutive frames. This was determined manually for all frames. Dataset is intended for evaluation of visual odometry algorithms primarily for tree nurseries