1 to 10 of 2,524 Results
Mar 20, 2026 - Environmental Attitudes and Behaviour Surveys = Aplinkosauginių nuostatų ir elgsenos tyrimai
Paškevičiūtė, Lina; Balžekienė, Aistė, 2026, "Forest Logging, May 2025", https://hdl.handle.net/21.12137/TZKP1Z, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:QQSlFJN5dFe+GahTBXDeKA== [fileUNF]
The purpose of the study: to study Lithuanian public opinion about forest logging, economic activity, and the expansion of recreational areas in Lithuanian forests. Major investigated questions: respondents were asked whether they agree or disagree with the statement that forest logging is a relevant problem in Lithuania. It was examined what the f... |
Mar 20, 2026 -
Forest Logging, May 2025
Gzip Archive - 69.3 KB -
MD5: c872645b27538fc9f3963a28a8a05303
Files providing previous versions of the metadata and/or data and data processing syntax files. If you would like to get access to these files, write to data@ktu.lt. = Ankstesnių metaduomenų ir (ar) duomenų versijų ir duomenų apdorojimo sintaksės failai. Jei norite gauti prieigą prie šių failų, rašykite data@ktu.lt. |
Mar 20, 2026 -
Forest Logging, May 2025
Tabular Data - 122.2 KB - 26 Variables, 1000 Observations - UNF:6:QQSlFJN5dFe+GahTBXDeKA==
Data processed by the LiDA. = LiDA sutvarkyti duomenys. |
Mar 20, 2026 -
Forest Logging, May 2025
Gzip Archive - 840.2 KB -
MD5: 780b9d0975fd8a1bb34362a38d00193d
Files providing the fieldwork report and/or codebook and other documentation. = Lauko darbų ataskaita ir (ar) kodavimo knyga bei kita susijusi dokumentacija. |
Mar 20, 2026 -
Forest Logging, May 2025
Gzip Archive - 202.3 KB -
MD5: 5adf049ce4cc56ec949fd0ec1569a4aa
LiDA internal documents related to the published dataset, to which access is not provided. = LiDA vidiniai dokumentai, susiję su publikuotu duomenų rinkiniu, prie kurių prieiga nesuteikiama. |
Mar 20, 2026 -
Forest Logging, May 2025
Adobe PDF - 279.5 KB -
MD5: 2313c1ecaba19d5244d8d995d7cf1e22
Questionnaire = Klausimynas. |
Mar 20, 2026 -
Forest Logging, May 2025
HTML - 30.8 KB -
MD5: 18a297364fd82b9bf96e4c5f0972bc17
Data variables and their values. = Duomenų kintamieji ir jų reikšmės. |
Mar 19, 2026 - Educational Data = Švietimo duomenys
Erentaitė, Rasa; Lašas, Ainius; Morkevičius, Vaidas; Simonaitienė, Berita; Vosylis, Rimantas; Žvaliauskas, Giedrius, 2026, "Learning Analytics Project: School Data, 2018–2023", https://hdl.handle.net/21.12137/YQLUTS, Lithuanian Data Archive for SSH (LiDA), V1
This dataset covers anonymised data on selected schools during the school years 2018-2019, 2019-2020, 2020-2021, 2021-2022, 2022-2023. The data was collected as part of the joint project between UAB Sonaro and Kaunas University of Technology "Innovative system for students’ data analysis, progress evaluation and achievement forecasting" (No 02-019-... |
Mar 19, 2026 - Educational Data = Švietimo duomenys
Erentaitė, Rasa; Lašas, Ainius; Morkevičius, Vaidas; Simonaitienė, Berita; Vosylis, Rimantas; Žvaliauskas, Giedrius, 2026, "Learning Analytics Project: Student Data, 2018–2023", https://hdl.handle.net/21.12137/KGC6TA, Lithuanian Data Archive for SSH (LiDA), V1
This dataset covers anonymised data on student achievement in selected schools during the school years 2018-2019, 2019-2020, 2020-2021, 2021-2022, 2022-2023. The data was collected as part of the joint project between UAB Sonaro and Kaunas University of Technology "Innovative system for students’ data analysis, progress evaluation and achievement f... |
Mar 19, 2026 - Educational Data = Švietimo duomenys
Erentaitė, Rasa; Lašas, Ainius; Morkevičius, Vaidas; Simonaitienė, Berita; Vosylis, Rimantas; Žvaliauskas, Giedrius, 2026, "Learning Analytics Project: Teacher Data, 2018–2023", https://hdl.handle.net/21.12137/YWTDZA, Lithuanian Data Archive for SSH (LiDA), V1
This dataset covers anonymised data on teachers from selected schools during the school years 2018-2019, 2019-2020, 2020-2021, 2021-2022, 2022-2023. The data was collected as part of the joint project between UAB Sonaro and Kaunas University of Technology "Innovative system for students’ data analysis, progress evaluation and achievement forecastin... |
