51 to 60 of 675 Results
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 |
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 |
Nov 29, 2025 -
PROMPT Codebook
Adobe PDF
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Nov 29, 2025 - Rīga Stradiņš University
Šķestere, Lāsma; Rožukalne, Anda; Kleinberga, Vineta; Karulis, Miervaldis; Mercereau, Sara; Lestra, Martin; Bénesse, Clément; Ricker, Jordan, 2025, "PROMPT Codebook", https://doi.org/10.48510/FK2/HZSU5Z
The PROMPT Codebook is a comprehensive framework for the systematic analysis of disinformation narratives, techniques, and rhetorical strategies across digital media. Developed as part of the PROMPT – AI-Driven Methods for Disinformation Detection and Contextualisation project, the codebook provides a detailed categorisation system encompassing 31...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Nov 28, 2025 - Engineering and Technologies
Universa, Asnate Elizabete; Kince, Tatjana; Banis, Andrejs; Kruma, Zanda; Dabina-Bicka, Ilona, 2025, "Dataset on Brewers’ Spent Grain Bioactives and Nutrients from Latvian Breweries", https://doi.org/10.71782/DATA/CXYC4R, DataverseLV, V1, UNF:6:Fz8RjrEyUuyaDZsBD0jAxg== [fileUNF]
The dataset provides data on brewers’ spent grain (BSG) samples collected from 11 breweries in Latvia. It includes analytical results on a range of bioactive and nutritional parameters, such as total phenols, flavonoids, antioxidant capacity (DPPH, ABTS), dietary fibre, protein, amino acids, and fat content. The dataset also contains basic informat... |
