1 to 10 of 12 Results
Jan 26, 2026
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... |
Jan 19, 2026
Muska, Aina; Pilvere, Irina; Upite, Ilze; Muska, Kristaps; Nipers, Aleksejs, 2025, "Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal", https://doi.org/10.71782/DATA/8WC92K, DataverseLV, V3, UNF:6:vStpRFZ0rN1G90bplaxjPg== [fileUNF]
Two indicators were used to assess the contribution of EU Member States: (1) sales of antimicrobials (AMs) in 2022 (mg/PCU) and the rate of change (%) in sales of AMs over the progress period (2018-2022); (2) a result indicator from the CAP National Strategic Plans (SP) for 2023–2027 – R.43 “Limiting antimicrobial use”. This indicator means limitin... |
Jan 6, 2026
Klavina, Daniela; Proskina, Liga; Naglis-Liepa, Kaspars; Cerina, Sallija, 2025, "Dataset for Analysis of Bioregional Development Scenarios in Latvia", https://doi.org/10.71782/DATA/JFRVUV, DataverseLV, V2, UNF:6:XHsTmjvhvI/HehXxw9I9Jg== [fileUNF]
This dataset contains the complete set of expert evaluations and the full Analytic Hierarchy Process (AHP) calculation workflow used in the scientific publication “Analysis of Bioregional Development Scenarios in Latvia”. The AHP method was applied to identify and evaluate the criteria influencing the suitability of different bioregional developmen... |
Dec 18, 2025
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, V1
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... |
Dec 1, 2025
Muska, Aina; Pilvere, Irina; Nipers, Aleksejs, 2025, "Datasets for Evaluation of the Agricultural Green Competitiveness in the European Union", https://doi.org/10.71782/DATA/ONYMFM, DataverseLV, V2, UNF:6:hcXjiSkjVi4AHzChXnIW/Q== [fileUNF]
Analysis 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),... |
Oct 24, 2025
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
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
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 10, 2025
Pilvere, Irina; Krievina, Agnese; Upite, Ilze; Nipers, Aleksejs, 2025, "Datasets for Manure Projections in Latvia: Challenges and Potential for Reducing Greenhouse Gas Emissions", https://doi.org/10.71782/DATA/DWMW7G, DataverseLV, V2, UNF:6:9SLKH2wDjZjP6K/atn4Zwg== [fileUNF]
Two data sets have been created. One data sheet is actual data for 2010-2023 and cover: 1) the number of animals in the relevant year - total cattle, including dairy cows and beef cattle in different age groups, sheep, goats, pigs - in different age groups, poultry - broilers and laying hens, as well as other animal groups that are typical for Latv... |
Sep 1, 2025
Muska, Aina; Pilvere, Irina; Nipers, Aleksejs, 2025, "Datasets for European Green Deal Objective for Sustainable Agriculture: Opportunities and Challenges to Reduce Pesticide Use", https://doi.org/10.71782/DATA/GHMSF7, DataverseLV, V2, UNF:6:ZHnSdzoee/C0uuQu/f/nIg== [fileUNF]
Three indicators were used to assess the contribution of EU Member States: (1) use of pesticides per unit of arable land area (kg/ha); (2) the Harmonised Risk Indicator 1; (3) a result indicator from the CAP National Strategic Plans (SP) for 2023–2027 – R.24 “Sustainable and reduced use of pesticides”. This indicator shows the share of utilised agr... |
