https://researchdata.se/en/catalogue Search results en The data set include data from Low Field Nuclear Magnestic Resonance (LFNMR) measurements and Differential Scanning Calorimetry (DSC) measurements for different types of acetylated wood (Norway spruce) conditioned at several moisture levels in the over-hygroscopic moisture range. Cell wall moisture contents and capillary water moisture contents were evaluated from the data. The data set and the content of the different files are further described in the document "readme.txt". Fri, 10 Nov 2023 06:28:11 GMT https://researchdata.se/en/catalogue/dataset/2023-145 https://researchdata.se/en/catalogue/dataset/2023-145 Lund University Maria Fredriksson Ramunas Digaitis Jonas Engqvist Emil Thybring The published data are images of freshwater diatoms, taken within the national barcoding project FRESHBAR (2019-2023), a research project focusing on the development of DNA methods for national environmental monitoring. The project was financed by the Environmental Protection Agency’s environmental research grant in collaboration with the Swedish Agency for Marine and Water Management. The aim of the project was to establish as many diatom cultures as possible, to generate their barcodes, to identify them to the lowest taxonomical level possible, and to make all results, data and material publicly available for further research and usage within environmental monitoring. FRESHBAR represents the first large-scale effort to generate barcode reference sequences for Nordic freshwater benthic diatoms. The images are part of the results. Images of living and prepared strains are stored with open access (license: CC0) in the e-archive of the Swedish University of Agricultural Sciences (SLU), available under the permanent link https://hdl.handle.net/20.500.12703/6968. Images are stored in different subfolders, grouped by taxon. Information on storage is found when searching in the menu “By subject”, where the metadata are found under “FRESHBAR images” in the file “FRESHBAR picture images SLU archive.xlsx”. Images taken with LM are stored in the subfolder https://hdl.handle.net/20.500.12703/6822, SEM images in the subfolder https://hdl.handle.net/20.500.12703/6823. Metadata are stored in the subfolder https://hdl.handle.net/20.500.12703/6825. In order to find a specific image item, you can locate the handle in the provided mapfiles.txt, and then go to https://hdl.handle.net/[handle], e.g. for https://hdl.handle.net/20.500.12703/6885 for SEM 1C11. Fri, 08 May 2026 08:33:53 GMT https://researchdata.se/en/catalogue/dataset/2025-373 https://researchdata.se/en/catalogue/dataset/2025-373 Swedish University of Agricultural Sciences Maria Kahlert Demetrio Mora Wolf-Henning Kusber Nélida Abarca Jonas Zimmermann Previous Archaeological Excavations along the 'Ostlänken' Railway Corridor 1965-2012: Gas pipe through Kallerstad The ZIP file contains two Shape files with information on trenches, ancient monuments, archaeological finds and other data from the archaeological survey , as well as one geo-referenced map (© Lantmäteriet i2014/00696) of the survey area in GeoTIFF format. Tue, 28 Oct 2014 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd2401-1 https://researchdata.se/en/catalogue/dataset/snd2401-1 Uppsala University The QoG Institute is an independent research institute within the Department of Political Science at the University of Gothenburg. The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. To achieve said goal, the QoG Institute makes comparative data on QoG and its correlates publicly available. To accomplish this, we have compiled several datasets that draw on a number of freely available data sources, including aggregated individual-level data. The QoG OECD Datasets focus exclusively on OECD member countries. They have a high data coverage in terms of geography and time. In the QoG OECD TS dataset, data from 1946 to 2021 is included and the unit of analysis is country-year (e.g., Sweden-1946, Sweden-1947, etc.). In the QoG OECD Cross-Section dataset, data from and around 2018 is included. Data from 2018 is prioritized, however, if no data are available for a country for 2018, data for 2019 is included. If no data for 2019 exists, data for 2017 is included, and so on up to a maximum of +/- 3 years. In the QoG OECD Time-Series dataset, data from 1946 to 2021 are included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on). The QoG OECD Datasets focus exclusively on OECD member countries. They have a high data coverage in terms of geography and time. In the QoG OECD Cross-Section dataset, data from and around 2018 is included. Data from 2018 is prioritized, however, if no data are available for a country for 2018, data for 2019 is included. If no data for 2019 exists, data for 2017 is included, and so on up to a maximum of +/- 3 years. In the QoG OECD Time-Series dataset, data from 1946 to 2021 are included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on). Fri, 08 May 2020 12:22:40 GMT https://researchdata.se/en/catalogue/dataset/ext0208-1 https://researchdata.se/en/catalogue/dataset/ext0208-1 University of Gothenburg Jan Teorell Staffan Kumlin Sören Holmberg Bo Rothstein Aksel Sundström The ZIP file consist of GIS files with information about the excavations, findings and other metadata about the archaeological survey. Fri, 25 Apr 2014 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd2215-1 https://researchdata.se/en/catalogue/dataset/snd2215-1 Uppsala University Datasets of vegetation cover estimates in percentage from Gåsfjärden and Lake Storsjön based on the Landscape Reconstruction Algorithm and the lignin phenols records of the sediment cores from Lake Storsjön and Gåsfjärden. For a more detailed description of the methodology, see Yang, B., Ljung, K., Ning, W., Filipsson H.L., Nielsen, A.B. Relationships between land use and terrestrial organic matter transfer to the Baltic Sea over the last 500 years. JGR Biogeosciences, Submitted. Mon, 18 Dec 2023 15:02:57 GMT https://researchdata.se/en/catalogue/dataset/2023-286 https://researchdata.se/en/catalogue/dataset/2023-286 Lund University Bingjie Yang Karl Ljung Wenxin Ning Helena Filipsson Anne Birgitte Nielsen The data is based on questionnaires completed by 97 children and adolescents with ADHD regarding their perception of the cause of their symptoms, the strategies they use to manage them, psychological stress, sex, age, age at diagnosis, additional diagnoses, and use of medications. [See further description under Method and outcome.] The original data file is in SPSS format .sav. A copy of it converted to .csv is also available. Fri, 30 Jan 2026 12:50:41 GMT https://researchdata.se/en/catalogue/dataset/2025-146 https://researchdata.se/en/catalogue/dataset/2025-146 Stockholm University Noam Ringer This dataset contains the SLU Forage Availability Map. This dataset contains 12 maps, distributed as .tif files. They show the predicted abundance of the pine (Pinus sylvestris), rowan (Sorbus aucuparia), oak (Quercus spp.), willow (Salix caprea), aspen (Populus tremula) and birch (Betula spp.) trees from 10 cm height to 4 cm diameter at breast height across the country using data from the Swedish National Forest Inventory and remote sensing datasets. Map products are aggregated to a 1ha and a 1km2 scale and show the average amount of trees estimated per spatial unit. For more information on the development of this dataset, please see the article: https://doi.org/10.1016/j.jag.2025.104850 For access to the 10x10m maps, contact the authors. Tue, 04 Nov 2025 15:22:50 GMT https://researchdata.se/en/catalogue/dataset/2025-259 https://researchdata.se/en/catalogue/dataset/2025-259 Swedish University of Agricultural Sciences Lukas Graf Inka Bohlin Per-Ola Hedwall Jonas Dahlgren Annika M. Felton The ZIP file consist of GIS files with information about the excavations, findings and other metadata about the archaeological survey. Wed, 30 Apr 2014 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/snd2297-1 https://researchdata.se/en/catalogue/dataset/snd2297-1 Uppsala University Grain tithe (Swe: Spannmålstiondet) has often been used as an indicator of crop development. It was a tax based in the principle of one-tenth of the harvest. This database is based on the accounts of the Crown's share of the tithe for Sweden in present-day borders excluding Scania. The databases relate to the period from and including 1665, when the volume measures were uniform in the country, until the tithe was a fixed tax without further linked to harvests. The transition to the tenth occurred successively in different provinces and was essentially completed by the mid-1700s. Thu, 11 Sep 2025 09:32:21 GMT https://researchdata.se/en/catalogue/dataset/snd0996-1 https://researchdata.se/en/catalogue/dataset/snd0996-1 University of Gothenburg Erik Hallberg Martin Linde Lotta Leijonhufvud Lennart Andersson Palm