41 to 50 of 270 Results
Dec 8, 2025 -
Survey dataset regarding adults’ professional development and the transfer of its results into practice in Latvia
Adobe PDF - 286.9 KB -
MD5: e57e949c018451ea2ff03939252da2f9
Description of the sampling procedure |
Dec 8, 2025 -
Survey dataset regarding adults’ professional development and the transfer of its results into practice in Latvia
Adobe PDF - 136.4 KB -
MD5: 59c5a4b8939b7c919218da0f4e4e8058
Description of the weighting procedure |
Dec 1, 2025 - Agricultural Sciences, Forestry and Veterinary Science
Górnaś, Paweł; Miķelsone, Ieva; Mišina, Inga; Bondarenko, Elvita; Sipeniece, Elise; Dukurs, Krists; Strautiņa, Sarmīte; Lazdiņa, Danija; Segliņa, Dalija; Pērkons, Ingus, 2025, "Profile of anthocyanins in Latvian blackcurrant genotypes", https://doi.org/10.71782/DATA/27CTO7, DataverseLV, V1, UNF:6:Ytukv4DQC/w+QEqaGFMaQQ== [fileUNF]
Dataset presents detailed information on individual and total anthocyanin content in 123 blackcurrant genotypes cultivated in Latvia. The analyzed berry samples were collected from plants grown and harvested at the Institute of Horticulture (LatHort) in Dobele, Latvia, from July to August, 2024. |
Tabular Data - 49.0 KB - 15 Variables, 492 Observations - UNF:6:WRvMeF6vyMe9RPKvva5Y0A==
Raw data of individual anthocyanin concentrations for each biological replicate of blackcurrant samples |
Tabular Data - 54.2 KB - 39 Variables, 246 Observations - UNF:6:TDeqIgJzGnyD5zMMjucjnw==
Data on the anthocyanin profile of blackcurrants, including the average values from all biological replications, standard deviations and coefficients of variation |
Adobe PDF - 116.3 KB -
MD5: 44b29b71a88856607e5772631fafa12b
Descriptions for csv files |
Plain Text - 4.2 KB -
MD5: c7ce3a40cd2ebf682f247327f669e951
ReadMe file |
Dec 1, 2025 - Social Sciences
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 |
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:jBRTyrTHG7bh59encfV+ag==
Data file for 2022 |
