1 to 10 of 72 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 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... |
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 |
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... |
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 |
