1 to 10 of 18 Results
Jun 5, 2026 - Social Sciences
Lāma, Gatis; Kosīte, Daina; Rozenberga, Gita; Melderis, Mikus; Andersone, Iveta; Badūne, Laura; Dukulis, Ilmars; Judrups, Janis; Vecpuise, Elza, 2026, "Dataset for survey "Open Science and Research Data Management Practices in Latvia" / Aptaujas dati "Atvērtās zinātnes un pētniecības datu pārvaldības prakse Latvijā"", https://doi.org/10.71782/DATA/VASTUK, DataverseLV, V2, UNF:6:B7hQczM3ChoTPq7qwNhC9w== [fileUNF]
EN: This dataset supports a study that analyzes Latvian researchers’ understanding, skills, and practices in the fields of open science and research data management, with particular attention devoted to the data lifecycle. The empirical research was conducted within the framework of the project “Support for the Implementation of Open Science in Pra... |
Plain Text - 3.0 KB -
MD5: 8028515564dd0bd21e5aa81fe110214b
ReadMe file describing the dataset, authors, data collection, data structure, access rights, license, and related documentation. |
Adobe PDF - 719.9 KB -
MD5: 5c325e89687568fa155538fc3d2132c9
Survey questionnaire used to collect data on Latvian researchers’ open science and research data management knowledge, practices, and needs. |
Tabular Data - 27.4 KB - 5 Variables, 127 Observations - UNF:6:cBQAuuDJ+wgAnoI8axXZOw==
Codebook describing the variables, labels, response options, and missing data coding used in the research dataset. |
Tabular Data - 135.2 KB - 128 Variables, 427 Observations - UNF:6:Q2h8PDg+DTYlZe9DTfBchA==
Anonymized survey dataset containing completed responses from Latvian researchers and doctoral students on open science and research data management practices. |
Adobe PDF - 71.5 KB -
MD5: e23164cf99f9a307fbd71e59e8ea6189
Data Management Plan describing the collection, storage, documentation, sharing, preservation, and protection of the survey data. |
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... |
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 |
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 |
Feb 27, 2026 - Natural Sciences
Laipniece, Lauma, 2026, "Titration Results of Rapeseed Soapstock in i-PrOH with Aqueous Sulfuric, Formic, Acetic, and Citric Acids", https://doi.org/10.71782/DATA/4OYHVZ, DataverseLV, V1, UNF:6:dnA8ibxgMWbyuhiaRcehYA== [fileUNF]
This dataset contains tabulated pH titration results of rapeseed soapstock in i-PrOH using aqueous sulfuric, formic, acetic, and citric acids, including acid consumption values. Titration experiments enabled the identification of buffering regions in rapeseed soapstock and the determination of acid consumption required for efficient alkalinity neut... |
