Social Sciences

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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1 to 10 of 66 Results

Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green DealEmbargoed Apr 23, 2026 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...
ReadMe.txt Apr 23, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal Plain Text - 5.0 KB - MD5: 6de25ff85ee34d61eef51569ca149847 ReadMe file
Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and DynamicsEmbargoed Mar 23, 2026 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...
Description_organic_farming_EU.pdf Mar 23, 2026 - Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics Adobe PDF - 212.5 KB - MD5: 8b020a4f7a4baef8f7c020e341bbfd61 Full description of indicators in CSV files
LQ_organic_farming_2014.tabEmbargoed Mar 23, 2026 - Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics 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
LQ_organic_farming_2020.tabEmbargoed Mar 23, 2026 - Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics 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
ReadMe.txt Mar 23, 2026 - Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics Plain Text - 3.8 KB - MD5: 2a74c86e557188d7ca84a75ba031bc22 ReadMe file
Dataset for comparing agricultural and forestry profitability at the parcel level Feb 10, 2026 Bilande, Kristine; Veipane, Una Diana; Nipers, Aleksejs; Pilvere, Irina, 2026, "Dataset for comparing agricultural and forestry profitability at the parcel level", https://doi.org/10.71782/DATA/KINURI, DataverseLV, V2 This study develops a spatial distribution of profitability across agricultural and forestry land use in Latvia. The profitability at the individual parcel level has been calculated, taking into account the characteristics of each plot and management practices. However, to ensure a clear and transparent spatial visualisation, the parcel-level resul...
Profitability_grid.gpkg Feb 10, 2026 - Dataset for comparing agricultural and forestry profitability at the parcel level Unknown - 15.0 MB - MD5: d19bc25342bfa7eb77285e5678a9cbc0 Parcel-level results in a single grid with 100-hectare cells
ReadMe_profitability_Latvia.txt Feb 10, 2026 - Dataset for comparing agricultural and forestry profitability at the parcel level Plain Text - 4.0 KB - MD5: 80bd2912047598b3f5d5b1d8601c4b0b ReadMe file with dataset description

Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green DealEmbargoed

Apr 23, 2026

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...

ReadMe.txt

Apr 23, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal

Plain Text - 5.0 KB -

ReadMe file

Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and DynamicsEmbargoed

Mar 23, 2026

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...

Description_organic_farming_EU.pdf

Mar 23, 2026 - Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics

Adobe PDF - 212.5 KB -

Full description of indicators in CSV files

LQ_organic_farming_2014.tabEmbargoed

Mar 23, 2026 - Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics

Tabular Data - 2.2 KB - 14 Variables, 27 Observations -

Location Quotient (LQ) values for 11 organic farming categories across EU Member States for the year 2014

LQ_organic_farming_2020.tabEmbargoed

Mar 23, 2026 - Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics

Tabular Data - 2.2 KB - 14 Variables, 27 Observations -

Location Quotient (LQ) values for 11 organic farming categories across EU Member States for the year 2020

ReadMe.txt

Mar 23, 2026 - Datasets for Organic Agriculture Specialisation in the European Union Member States: Structural Patterns and Dynamics

Plain Text - 3.8 KB -

ReadMe file

Dataset for comparing agricultural and forestry profitability at the parcel level

Feb 10, 2026

Bilande, Kristine; Veipane, Una Diana; Nipers, Aleksejs; Pilvere, Irina, 2026, "Dataset for comparing agricultural and forestry profitability at the parcel level", https://doi.org/10.71782/DATA/KINURI, DataverseLV, V2

This study develops a spatial distribution of profitability across agricultural and forestry land use in Latvia. The profitability at the individual parcel level has been calculated, taking into account the characteristics of each plot and management practices. However, to ensure a clear and transparent spatial visualisation, the parcel-level resul...

Profitability_grid.gpkg

Feb 10, 2026 - Dataset for comparing agricultural and forestry profitability at the parcel level

Unknown - 15.0 MB -

Parcel-level results in a single grid with 100-hectare cells

ReadMe_profitability_Latvia.txt

Feb 10, 2026 - Dataset for comparing agricultural and forestry profitability at the parcel level

Plain Text - 4.0 KB -

ReadMe file with dataset description

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