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 61 Results

Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green DealEmbargoed Jan 26, 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, V1, 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...
description.pdf Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal Adobe PDF - 150.4 KB - MD5: 114e5331ed744dc7ba1df60e6faf6704 Description of indicators
progress_period.tabEmbargoed Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal Tabular Data - 741 B - 4 Variables, 27 Observations - UNF:6:z2GeW9lKajCDIvBUWr/xaw== Actual data - the change between the averages for 2012–2015 and 2016–2019
ReadMe.txt Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal Plain Text - 4.9 KB - MD5: bb42435dcad1a08009906da292f32de6 ReadMe file
target_period.tabEmbargoed Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal Tabular Data - 791 B - 4 Variables, 28 Observations - UNF:6:emteVfW4ssgVud15oBL3NQ== Projected data - the change between the averages for 2020–2024 and 2024–2027
Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal Jan 19, 2026 Muska, Aina; Pilvere, Irina; Upite, Ilze; Muska, Kristaps; Nipers, Aleksejs, 2025, "Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal", https://doi.org/10.71782/DATA/8WC92K, DataverseLV, V3, UNF:6:vStpRFZ0rN1G90bplaxjPg== [fileUNF] Two indicators were used to assess the contribution of EU Member States: (1) sales of antimicrobials (AMs) in 2022 (mg/PCU) and the rate of change (%) in sales of AMs over the progress period (2018-2022); (2) a result indicator from the CAP National Strategic Plans (SP) for 2023–2027 – R.43 “Limiting antimicrobial use”. This indicator means limitin...
Forecast_and_Target_Period.tab Jan 19, 2026 - Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal Tabular Data - 778 B - 4 Variables, 28 Observations - UNF:6:soZwa6MWgCr0XnLbS3Lm0w== Forecast and Target Period (2027-2030) dataset
Progress_Period.tab Jan 19, 2026 - Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal Tabular Data - 785 B - 4 Variables, 28 Observations - UNF:6:dNrv7HwiqrsxqRsR+OpFmw== Progress Period (2018-2022) data set
Dataset for Analysis of Bioregional Development Scenarios in Latvia Jan 6, 2026 Klavina, Daniela; Proskina, Liga; Naglis-Liepa, Kaspars; Cerina, Sallija, 2025, "Dataset for Analysis of Bioregional Development Scenarios in Latvia", https://doi.org/10.71782/DATA/JFRVUV, DataverseLV, V2, UNF:6:XHsTmjvhvI/HehXxw9I9Jg== [fileUNF] This dataset contains the complete set of expert evaluations and the full Analytic Hierarchy Process (AHP) calculation workflow used in the scientific publication “Analysis of Bioregional Development Scenarios in Latvia”. The AHP method was applied to identify and evaluate the criteria influencing the suitability of different bioregional developmen...
ReadMe.txt Jan 6, 2026 - Dataset for Analysis of Bioregional Development Scenarios in Latvia Plain Text - 7.8 KB - MD5: 57b38f746adefcdf9fe8f3c312063d8b ReadMe file

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

Jan 26, 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, V1, 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...

description.pdf

Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal

Adobe PDF - 150.4 KB -

Description of indicators

progress_period.tabEmbargoed

Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal

Tabular Data - 741 B - 4 Variables, 27 Observations -

Actual data - the change between the averages for 2012–2015 and 2016–2019

ReadMe.txt

Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal

Plain Text - 4.9 KB -

ReadMe file

target_period.tabEmbargoed

Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal

Tabular Data - 791 B - 4 Variables, 28 Observations -

Projected data - the change between the averages for 2020–2024 and 2024–2027

Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal

Jan 19, 2026

Muska, Aina; Pilvere, Irina; Upite, Ilze; Muska, Kristaps; Nipers, Aleksejs, 2025, "Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal", https://doi.org/10.71782/DATA/8WC92K, DataverseLV, V3, UNF:6:vStpRFZ0rN1G90bplaxjPg== [fileUNF]

Two indicators were used to assess the contribution of EU Member States: (1) sales of antimicrobials (AMs) in 2022 (mg/PCU) and the rate of change (%) in sales of AMs over the progress period (2018-2022); (2) a result indicator from the CAP National Strategic Plans (SP) for 2023–2027 – R.43 “Limiting antimicrobial use”. This indicator means limitin...

Forecast_and_Target_Period.tab

Jan 19, 2026 - Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal

Tabular Data - 778 B - 4 Variables, 28 Observations -

Forecast and Target Period (2027-2030) dataset

Progress_Period.tab

Jan 19, 2026 - Datasets for Antimicrobial Sales Reduction Potential in the Context of the European Green Deal

Tabular Data - 785 B - 4 Variables, 28 Observations -

Progress Period (2018-2022) data set

Dataset for Analysis of Bioregional Development Scenarios in Latvia

Jan 6, 2026

Klavina, Daniela; Proskina, Liga; Naglis-Liepa, Kaspars; Cerina, Sallija, 2025, "Dataset for Analysis of Bioregional Development Scenarios in Latvia", https://doi.org/10.71782/DATA/JFRVUV, DataverseLV, V2, UNF:6:XHsTmjvhvI/HehXxw9I9Jg== [fileUNF]

This dataset contains the complete set of expert evaluations and the full Analytic Hierarchy Process (AHP) calculation workflow used in the scientific publication “Analysis of Bioregional Development Scenarios in Latvia”. The AHP method was applied to identify and evaluate the criteria influencing the suitability of different bioregional developmen...

ReadMe.txt

Jan 6, 2026 - Dataset for Analysis of Bioregional Development Scenarios in Latvia

Plain Text - 7.8 KB -

ReadMe file

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