Data sets published by LBTU researchers related to social science fields.
LBTU pētnieku publicētās datu kopas, kas saistītas ar sociālo zinātņu jomām.
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Datasets for Evaluation of the Agricultural Green Competitiveness in the European Union
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),...
Data_2018.tab
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
Data_2022.tab
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
ReadMe.txt
Dec 1, 2025 - Datasets for Evaluation of the Agricultural Green Competitiveness in the European Union
Plain Text - 4.3 KB - MD5: 2dea3c1c1dec95cd094494b1e2a47454
ReadMe file with datasets description
Dataset for Analysis of Bioregional Development Scenarios in LatviaEmbargoed
Nov 26, 2025
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, V1, 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...
AHP_Expert_A_Raw_Pairwise_Ratings.tabEmbargoed
Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia
Tabular Data - 9.7 KB - 6 Variables, 201 Observations - UNF:6:ROVO6HjVAXAUPya35AlnAg==
Expert’s A complete pairwise comparison matrices
AHP_Expert_B_Raw_Pairwise_Ratings.tabEmbargoed
Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia
Tabular Data - 9.6 KB - 6 Variables, 201 Observations - UNF:6:NwX8qcIuxAFndyV/zMB+JA==
Expert’s B complete pairwise comparison matrices
AHP_Expert_C_Raw_Pairwise_Ratings.tabEmbargoed
Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia
Tabular Data - 9.8 KB - 6 Variables, 201 Observations - UNF:6:9J63iWWae3TdkFLygXKjPw==
Expert’s C complete pairwise comparison matrices
AHP_Expert_D_Raw_Pairwise_Ratings.tabEmbargoed
Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia
Tabular Data - 9.6 KB - 6 Variables, 201 Observations - UNF:6:H2J4VhId31hHEug22xjcww==
Expert’s D complete pairwise comparison matrices
AHP_Expert_E_Raw_Pairwise_Ratings.tabEmbargoed
Nov 26, 2025 - Dataset for Analysis of Bioregional Development Scenarios in Latvia
Tabular Data - 9.8 KB - 6 Variables, 201 Observations - UNF:6:IMEFsmmG+6V4RR5y8+Ru7Q==
Expert’s E complete pairwise comparison matrices
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