11 to 20 of 66 Results
Jan 26, 2026 -
Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal
Adobe PDF - 150.4 KB -
MD5: 114e5331ed744dc7ba1df60e6faf6704
Description of indicators |
Jan 26, 2026 -
Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal
Tabular Data - 741 B - 4 Variables, 27 Observations - UNF:6:z2GeW9lKajCDIvBUWr/xaw==
Actual data - the change between the averages for 2012–2015 and 2016–2019 |
Jan 26, 2026 -
Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal
Tabular Data - 791 B - 4 Variables, 28 Observations - UNF:6:emteVfW4ssgVud15oBL3NQ==
Projected data - the change between the averages for 2020–2024 and 2024–2027 |
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 19, 2026 -
Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal
Tabular Data - 778 B - 4 Variables, 28 Observations - UNF:6:soZwa6MWgCr0XnLbS3Lm0w==
Forecast and Target Period (2027-2030) dataset |
Jan 19, 2026 -
Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal
Tabular Data - 785 B - 4 Variables, 28 Observations - UNF:6:dNrv7HwiqrsxqRsR+OpFmw==
Progress Period (2018-2022) data set |
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... |
Plain Text - 7.8 KB -
MD5: 57b38f746adefcdf9fe8f3c312063d8b
ReadMe file |
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),... |
Dec 1, 2025 -
Datasets for Evaluation of the Agricultural Green Competitiveness in the European Union
Tabular Data - 5.6 KB - 19 Variables, 27 Observations - UNF:6:6DsQzFRcD0zm+p90nbwajA==
Data file for 2018 |
