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Publication Year: 2026

1 to 10 of 177 Results

Biogrāfisko interviju transkripcijas projektā "Konversijas un parrāvumi: latviešu filozofijas epistēmiskās stratēģijas padomju periodā (1944-1991)" Apr 27, 2026 - Latvian Academy of Culture Balodis, Andrejs, 2026, "Biogrāfisko interviju transkripcijas projektā "Konversijas un parrāvumi: latviešu filozofijas epistēmiskās stratēģijas padomju periodā (1944-1991)"", https://doi.org/10.71782/DATA/QVUERT, DataverseLV, V1 Pētījumā izmantota jauktu metožu pieeja, kas apvieno ideju, ideoloģiju un sociāli kultūras konteksta historiogrāfiskus pētījumus ar kvalitatīvu empīrisko izpēti. Pieeja ietver (a) vēsturisko avotu izpēti par periodiem (1944–1953 un 1981–1990) un (b) kvalitatīvu empīrisko izpēti, konkrētāk biogrāfiskās izpētes metodes, lai atklātu pārrāvumus Padomju...
ReadMe.txt Apr 27, 2026 - Biogrāfisko interviju transkripcijas projektā "Konversijas un parrāvumi: latviešu filozofijas epistēmiskās stratēģijas padomju periodā (1944-1991)" Plain Text - 2.3 KB - MD5: a0c97845ce5feaa906c5e19ff5931fdd
Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green DealEmbargoed 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...
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
Survey Data on Latvian K-12 Teachers' Readiness for Generative Artificial Intelligence AdoptionEmbargoed 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...
Latvian_K12Teachers_GenAI_DATA.csvEmbargoed Apr 9, 2026 - Survey Data on Latvian K-12 Teachers' Readiness for Generative Artificial Intelligence Adoption Comma Separated Values - 112.1 KB - MD5: 87a8cd32d197ffbdf63b7137187c9170 DATA
Latvian_K12Teachers_GenAI_README_LV.txt Apr 9, 2026 - Survey Data on Latvian K-12 Teachers' Readiness for Generative Artificial Intelligence Adoption Plain Text - 14.3 KB - MD5: 098f2bb045bbf84d81b593416fbefdb6 README_LV
Vidzeme University of Applied Sciences(va.lv) Apr 7, 2026 The DataverseLV collection of Vidzeme University of Applied Sciences (ViA) was started in 2026 with an aim to ensure secure research data storage as well as accessibility of the research data to the Latvian and international scientific community. The collection contains data from the research conducted at ViA in the social sciences, arts and humani...
Effect of vertical via horizontal growing conditions on the reflectance spectra of leaf mustard leaves 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...
ReadMe.txt Mar 30, 2026 - Effect of vertical via horizontal growing conditions on the reflectance spectra of leaf mustard leaves Plain Text - 3.0 KB - MD5: 89659be1dd5d2aa63a4d529dddbae050 ReadMe file

Biogrāfisko interviju transkripcijas projektā "Konversijas un parrāvumi: latviešu filozofijas epistēmiskās stratēģijas padomju periodā (1944-1991)"

Apr 27, 2026 - Latvian Academy of Culture

Balodis, Andrejs, 2026, "Biogrāfisko interviju transkripcijas projektā "Konversijas un parrāvumi: latviešu filozofijas epistēmiskās stratēģijas padomju periodā (1944-1991)"", https://doi.org/10.71782/DATA/QVUERT, DataverseLV, V1

Pētījumā izmantota jauktu metožu pieeja, kas apvieno ideju, ideoloģiju un sociāli kultūras konteksta historiogrāfiskus pētījumus ar kvalitatīvu empīrisko izpēti. Pieeja ietver (a) vēsturisko avotu izpēti par periodiem (1944–1953 un 1981–1990) un (b) kvalitatīvu empīrisko izpēti, konkrētāk biogrāfiskās izpētes metodes, lai atklātu pārrāvumus Padomju...

ReadMe.txt

Apr 27, 2026 - Biogrāfisko interviju transkripcijas projektā "Konversijas un parrāvumi: latviešu filozofijas epistēmiskās stratēģijas padomju periodā (1944-1991)"

Plain Text - 2.3 KB -

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

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...

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

Survey Data on Latvian K-12 Teachers' Readiness for Generative Artificial Intelligence AdoptionEmbargoed

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...

Latvian_K12Teachers_GenAI_DATA.csvEmbargoed

Apr 9, 2026 - Survey Data on Latvian K-12 Teachers' Readiness for Generative Artificial Intelligence Adoption

Comma Separated Values - 112.1 KB -

DATA

Latvian_K12Teachers_GenAI_README_LV.txt

Apr 9, 2026 - Survey Data on Latvian K-12 Teachers' Readiness for Generative Artificial Intelligence Adoption

Plain Text - 14.3 KB -

README_LV

Vidzeme University of Applied Sciences(va.lv)

Apr 7, 2026

The DataverseLV collection of Vidzeme University of Applied Sciences (ViA) was started in 2026 with an aim to ensure secure research data storage as well as accessibility of the research data to the Latvian and international scientific community. The collection contains data from the research conducted at ViA in the social sciences, arts and humani...

Effect of vertical via horizontal growing conditions on the reflectance spectra of leaf mustard leaves

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...

ReadMe.txt

Mar 30, 2026 - Effect of vertical via horizontal growing conditions on the reflectance spectra of leaf mustard leaves

Plain Text - 3.0 KB -

ReadMe file

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