Metrics
1,572 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

1 to 10 of 172 Results
Apr 9, 2026 - Social Sciences
Mirke, Evija, 2026, "Survey Data on Latvian K-12 Teachers' Readiness for Generative Artificial Intelligence Adoption", https://doi.org/10.71782/DATA/YRM6OS, DataverseLV, V1
This dataset contains quantitative data collected through a cross-sectional survey of K-12 teachers from all regions of Latvia in 2024–2025. The survey measured teachers' readiness to adopt generative artificial intelligence tools using an adapted version of the Technology Readiness Index (TRI 2.0) framework, which was adapted specifically for gene...
Comma Separated Values - 112.1 KB - MD5: 87a8cd32d197ffbdf63b7137187c9170
DATA
Mar 30, 2026 - Agricultural Sciences, Forestry and Veterinary Science
Alsina, Ina; Alksnis, Reinis; Dubova, Laila, 2026, "Effect of vertical via horizontal growing conditions on the reflectance spectra of leaf mustard leaves", https://doi.org/10.71782/DATA/7F61IV, DataverseLV, V1, UNF:6:vGxDzJLv6iqZwnDFGNWWeA== [fileUNF]
The dataset contains leaf reflectance spectra of mustard greens ‘Red Giant’ collected during plant ontogenesis. The plants were grown in 500 mL vegetation pots, arranged either horizontally or vertically. Plants were fertilized and watered identically. Plants were grown in polycarbonate greenhouse with additional artificial LED lightening with 16/8...
Plain Text - 3.0 KB - MD5: 89659be1dd5d2aa63a4d529dddbae050
ReadMe file
Tabular Data - 1.3 MB - 81 Variables, 2151 Observations - UNF:6:vGxDzJLv6iqZwnDFGNWWeA==
File contains leaf reflectance spectra of mustard greens ‘Red Giant’ collected during plant ontogenesis
Mar 23, 2026 - Social Sciences
Muska, Aina; Pilvere, Irina; Muska, Kristaps; Nipers, Aleksejs, 2026, "Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics", https://doi.org/10.71782/DATA/RB6BBQ, DataverseLV, V2, UNF:6:OhgwC050JGuylKskyKfAmQ== [fileUNF]
This dataset contains calculated Location Quotient (LQ) values that measure the degree of specialisation of European Union Member States across eleven organic farming categories. In this context, a “category” denotes a specific type of organic agricultural land use or a group of organically cultivated crops. The LQ values compare national specialis...
Adobe PDF - 212.5 KB - MD5: 8b020a4f7a4baef8f7c020e341bbfd61
Full description of indicators in CSV files
Tabular Data - 2.2 KB - 14 Variables, 27 Observations - UNF:6:zih4KanMghfVo6ojn4mXBg==
Location Quotient (LQ) values for 11 organic farming categories across EU Member States for the year 2014
Tabular Data - 2.2 KB - 14 Variables, 27 Observations - UNF:6:9QsJFuzoNqPd8Oa5glI5Kw==
Location Quotient (LQ) values for 11 organic farming categories across EU Member States for the year 2020
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.