Metrics
519 Downloads
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

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),...
Tabular Data - 5.6 KB - 19 Variables, 27 Observations - UNF:6:6DsQzFRcD0zm+p90nbwajA==
Data file for 2018
Tabular Data - 5.6 KB - 19 Variables, 27 Observations - UNF:6:jBRTyrTHG7bh59encfV+ag==
Data file for 2022
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...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.