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Latvijas Biozinātņu un tehnoloģiju universitātes Dataverse nodrošina platformu universitātes pētniekiem datu kopu publicēšanai un kopīgošanai.
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1 to 10 of 177 Results
Apr 23, 2026 - Social Sciences
Muska, Aina; Pilvere, Irina; Muska, Kristaps; Nipers, Aleksejs, 2026, "Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal", https://doi.org/10.71782/DATA/GATVHS, DataverseLV, V2, UNF:6:X3N1WKsN8DiHe0ORT+bgIg== [fileUNF]
The contributions of EU Member States were assessed over two periods: (1) the progress period, defined as the change between the averages for 2012–2015 and 2016–2019; and (2) the target period, defined as the change between the averages for 2020–2024 and 2024–2027. During the progress period, the differentiation of Member States was based on two in...
Plain Text - 5.0 KB - MD5: 6de25ff85ee34d61eef51569ca149847
ReadMe file
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
Plain Text - 3.8 KB - MD5: 2a74c86e557188d7ca84a75ba031bc22
ReadMe file
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