https://researchdata.se/en/catalogue Search results en Soil samples were collected in mid-October 2013 from Ivantjärnsheden field station in Jädraås (60°49‘N, 16°30’E, altitude 185 m), a well-documented field site in central Sweden (Persson, 1980) with Pinus sylvestris L. overstory and an understory of ericaceous dwarf shrubs (Calluna vulgaris (L.) Hull and Vaccinium vitis-ideae L.) and mosses (Dicranum majus Turner and Pleurozium schreberi (Bridel) Mitten). To account for small-scale variability in soil fungal communities we collected 5 soil cores (5 cm diameter and 15 cm deep) in each of 12 plots in the since terminated experiment IhII (9802) (Axelsson & Bråkenhielm, 1980). After visually dividing the plot into four quadrats one core were taken from the middle of each quadrat and from the middle of the plot after peeling back the top shrub and moss layer (incl. most of the litter layer). Soil cores were separated into visually distinct podzol soil layers: organic soil (O), mineral elluvial soil (E) and mineral illuvial soil (B) before pooling the layers for each plot. From each composite soil sample two sub-samples of approximately 0.5 g wet weight were collected for DNA extraction. Approximately 1500 bp of the rDNA from all soil DNA extracts was amplified using the primer set ITS1F (Gardes & Bruns, 1993) and LR5 (Hopple Jr & Vilgalys, 1994). A total of 5, 8 and 3 samples successfully amplified for O, E and B horizons, respectively (Table S1). PCR products from the separate soil horizons were pooled to generate three amplicon libraries (SwO, SwE and SwB) for sequencing at SciLifeLab/NGI (Uppsala, Sweden) on a PacBio RS II system (Pacific Biosciences, Menlo Park, CA, USA). This dataset was published via the SBDI ASV portal. Fri, 19 Aug 2022 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-r8gu42 https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-r8gu42 Uppsala University Anna Rosling This dataset contains 1909 georeferenced and digitized distribution maps of vascular plants originally published in the 'Atlas of the distribution of vascular plants in northwestern Europe' (Hultén 1971). The digitized maps are provided as spatial polygon features (GeoJSON). The original distribution maps are based on an extensive data collection including obtaining spatial information from regional floras and herbarium records, as well as expert opinions. Data was collected by Eric Hultén from around 1935 to 1970 and contain all known records of the species. The collection dates of the herbarium specimens and the dates of the published records will have ranged from the 18th century to 1970. A detailed description of how the original atlas was compiled as well as the method used to georeference and digitize the distribution maps can be found in Arnell et al. (2025a). R scripts and functions to perform the different pats of the digitalization process can be found in the R package 'HultenRangeMaps' (https://github.com/ArnellM/HultenRangeMaps.git). To aid spatial analyses, the package also provides a function to match the digitized distribution maps to the Swedish 10×10 km National grid (or any other grid stored as a polygon spatial feature). Citation: When using the digitized distribution maps , please cite both this dataset (Arnell et al. 2025b) and the accompanying data paper (Arnell et al. 2025a). Resolution and extent: The original maps have an effective resolution of 16×16 km and cover Scandinavia and Finland as well as parts of the Baltic countries, Germany and Russia. Data format: 1909 digitized distribution maps, GeoJSON files Data files: 1909 digitized distribution maps NOTE: The file names of the distribution map files are a combination of the the current accepted scientific name of the species and the original atlas map number (e.g. Lycopodium alpinum_0001.geojson). The current scientific names of the species in the dataset are retrieved from the Swedish Taxonomic Database, Dyntaxa (SLU Artdatabanken 2022). In Dyntaxa, hybrid species are denoted by the symbol ×. To facilitate file handling the symbol × has been replaced by the letter x in the database file names. Included in the database is an R script that allows users to change the letter x in the file names back to the symbol ×. Documentation files: README.txt HultenMetadata.csv - table containing details on the updated scientific nomenclature and manual edits of the digitized distribution maps fixFileNames.R - change the letter x in file names back to the symbol × References: Arnell, M., Auffret, A. G., & Hylander, K. (2025a) Historical distribution maps of vascular plants in Northern Europe. [Data paper]. Arnell, M., Auffret, A. G., & Hylander, K. (2025b). Historical distribution maps of vascular plants in Northern Europe (Version 1) [Data set]. Stockholm University. DOI: Available after publication. Hultén, E. 1971. Atlas of the distribution of vascular plants in northwestern Europe. Second edition. Generalstabens Litografiska Anstalts Förlag, Stockholm. SLU Artdatabanken. 2022. Dyntaxa - svensk taxonomisk databas [Dataset]. https://artfakta.se/metadata/dyntaxa. Accessed 2022-09-09. Fri, 23 Jan 2026 09:54:11 GMT https://researchdata.se/en/catalogue/dataset/2025-151 https://researchdata.se/en/catalogue/dataset/2025-151 Stockholm University Matilda Arnell Alistair G. Auffret Kristoffer Hylander 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 We studied the effects of different landscape parameters at three spatial scales on the densities of and damage caused by five major insect pests of sugar beet in 134 sugar beet fields monitored across five years in Denmark and Sweden. The landscape parameters investigated include the cover of cropland as measure of landscape simplification, the absolute inter-annual change in host crop cover (sugar beet), the landscape-level crop diversity in the previous year and the edge-density in the surrounding landscapes. The pests were monitored in a standardised monitoring scheme with one observation plot in each field and the respective values represent the maximum observed densities or damage at economically relevant development stages (see detailed description below). Pest densities and damage were recorded in five clusters of five plants selected at random within the observation plot avoiding plot edges and tractor tracks. Landscape parameters were extracted from the official land-use maps provided by the Danish Agricultural Agency (Landbrugsstyrelsen, 2024. Internet Markkort (IMK). Ministeriet for Fødevarer, Landbrug og Fiskeri, København) and the Swedish Board of Agriculture (Jordbruksverket, 2024. Kartor och Geografiska informationssystem - Årslager skiftesdata. Jordbruksverket) at three buffer radii (500 m, 1000 m and 2000 m) around the centre of the observation plots. For further information, see methods in the publication Boetzl et al. (2026) Landscape-scale drivers of insect pest regulation in sugar beet. Agriculture, Ecosystems and Environment. The data in the 'sugarbeet_pests_data.csv' file have information on the prevalence and damage caused by five major sugar beet pests (black bean aphid, pygmy mangold beetle, flea beetles, beet leafminers and thrips) at the respective economically relevant sugar beet growth stages recorded in 134 fields ('ID') in Denmark and Sweden as well as landscape parameters in the landscapes surrounding these fields at three spatial scales (500 m, 1000 m and 2000 m). 135 rows. 'NA' indicates missing values. SLU has led data analysis and publication of the scientific article. Nordic Beet Research has coordinated data collection. University of Copenhagen has contributed to data interpretation. Mon, 06 Oct 2025 14:32:57 GMT https://researchdata.se/en/catalogue/dataset/2025-255 https://researchdata.se/en/catalogue/dataset/2025-255 Swedish University of Agricultural Sciences Ola Lundin Fabian Boetzl Dataset of 3D reconstructions of the foraminifer Elphidium clavatum (marine protist with a calcite shell) acquired at the Beamline BL 47XU, SPring-8 synchrotron facility (Japan). A voxel size of 0.5 µm was used. In total, 124 specimens of Elphidium clavatum were scanned. For each specimen are available: a collection of raw images ("cropped" folder), a collection of binary images ("mask" folder), a 3D reconstruction (STL file), and two snapshot images of the 3D reconstruction. Sediment cores were collected in 2013 during a cruise with R/V Skagerak at Öresund station DV, north of the Island of Ven (55°55.59′ N, 12°42.66′ E). From the sediment core, 16 sediment layers were selected, representing the last 200 years (i.e., roughly the years ~2013, ~2010, ~2005, ~2002, ~1993, ~1986, ~1978, ~1960, ~1939, ~1923, ~1906, ~1890, ~1873, ~1857, ~1840, and ~1807). Between five to ten Elphidium clavatum specimens were selected from each layer. The dataset is part of the study exploring 3D time series of microfossils recording environmental conditions in the Baltic Sea entrance from the period early industrial (the 1800s) to present-day (the 2010s). The size of the dataset is 57 GB. Please contact the main author for further details. 124 specimens of Elphidium clavatum from 16 sediment layers were scanned. For each specimen, the following files are available: a collection of raw images in TIF format ("cropped" folder), a collection of binary images in TIF format ("mask" folder), a 3D reconstruction in STL format, and two snapshot images of the 3D reconstruction in TIF or PNG format. A voxel size of 0.5 µm was used. The data for each specimen is stored in a folder named as follows: DV(sediment depth in cm)-sp(specimen number)-(estimated year), e.g., “DV1-sp2-2013” (sediment depth: 1 cm, specimen 2, estimated year 2013). Examples of suitable software for handling the files include ImageJ and MeshLab. Total number of files: 69,652 (plus a readme file with documentation) Total number of folders: 390 Dataset size: 57,1 GB Thu, 16 Mar 2023 10:22:15 GMT https://researchdata.se/en/catalogue/dataset/2023-40-1 https://researchdata.se/en/catalogue/dataset/2023-40-1 Lund University Constance Choquel The data consists of long term diameter growth observations of uneven-sized Norway spruce dominated stands. The site has been managed with continuous individual tree selection for at least 100 years. There are two plots with different timing of cutting treatments. Height and age measurements of sample trees. One of the plots have coordinate set tree positions. Initial revision is 1989. The first plot consists of 209 tree observations and the second plot consists of 257 tree observations (at first revision point). The Excel file [Romperöd uniform data copy of version 3.xlsx] contains all data from all revisions between 1989 and 2015. This data is without coordinates of the tree positions. The data file contains information that links the tree identities between the two data files. The Excel file [Romperöd level 1b copy.xlsx] contains data from an extended revision of the thinned plot where the trees were also coordinate set. 74 of the trees have extended information on annual growth ring, root incidence, crown shape and height. Mon, 31 Jan 2022 10:26:52 GMT https://researchdata.se/en/catalogue/dataset/2020-52-1 https://researchdata.se/en/catalogue/dataset/2020-52-1 Linnaeus University Nils Fagerberg Data deposited in association with above named article to be published in the journal: Biogeosciences. Biogenic Volatile Organic Compound (BVOC) data covers full processing from retention times, comparison to standards and quantification of relevant compounds. Ecosystem respiration data has already been converted to flux (linear increase in concentration of carbon dioxide (CO2) over time over sampling period). Plant Root Simulator (PRS) probe, moisture, and temperature data listed for each site and treatment. Vegetation community described for each community based on percent cover of each species. Mon, 02 Oct 2023 06:24:27 GMT https://researchdata.se/en/catalogue/dataset/2023-177 https://researchdata.se/en/catalogue/dataset/2023-177 University of Gothenburg Cole Brachmann Tage Vowles Riikka Rinnan Mats Björkman Anna Ekberg Robert Björk The SLU long-term agricultural field experiments are a nationwide research infrastructure consisting of experiments in hydrological management, tillage, landscape ecology, plant nutrition, weed biology and control, cropping systems, and cropping systems in northern Sweden. They are used to study how crop rotations and cultivation measures in agriculture affect soil properties and crop yields in the long term, and the effect of weather and climate on the efficacy of these treatments. The experimental sites and the data collected in the long-term experiments are a valuable resource for research, teaching and consulting. The experiments are open for those who want to use data already collected or who want to do their own sampling. All long term experiments are funded by the NJ faculty and administered by an academic department, with the activities coordinated by a committee. Twenty four long-term field experiments in plant nutrition and soil fertility are currently managed by the Department of Soil and Environment at the Swedish University of Agricultural Sciences. These experiments, starting as early as 1936 or as recently as 2010, are grouped into eight different experimental series that focus on themes such as agronomically-relevant factors including liming, long-term soil fertility, soil organic matter and soil biology. Plant and soil samples have been collected, measured for standard parameters, and archived since the start of the experiments, forming the basis of over 200 theses and papers across a broad range of disciplines. The frame experiment is located at the Ultuna Campus at the Swedish University of Agricultural Sciences and has been ongoing since 1956. The aim of the experiment is to study the effect of different combinations of organic matter and nitrogen fertilization on soil organic matter content, yield level and crop nutrient content. This dataset contains values ​​for nutrient content in crops, soil and organic matter, and yields between 1956 and 2023. The data is provided as a single tsv file (RAM56_data.tsv), with an additional seven tsv files providing context. Physical data collected by researchers since the beginning of the experiment, together with plant and soil samples collected from a subset of time points during the experiment, are stored at the Swedish University of Agricultural Sciences. Thu, 23 Jan 2025 12:27:44 GMT https://researchdata.se/en/catalogue/dataset/2024-468 https://researchdata.se/en/catalogue/dataset/2024-468 Swedish University of Agricultural Sciences In the summer of 2018, wildfires erupted in Swedish forests at a magnitude without precedence in modern Swedish history. The purpose of this project is to study how local communities particularly affected by the wildfires in 2018 mobilized local resources to cope with the crisis, how local residents narrate the crisis and its aftermath, and what the crisis led to in terms of strategies and awareness of sustainable development in the future. Through digital ethnography, qualitative interviews and focus group interviews the project examines three questions: 1. How did local residents act during the actual events of the wildfire? 2. How are the wildfires and the mobilizations remembered and narrated? 3. Does local history and forestry traditions and practices impact on how local communities imagine possible futures? Through an ethnographic approach, we wish to capture the tensions between the past, the present and the possible future, with the idea of trying to show the potential for resilient communities in a world of global climate change. This study contributes ethnographic insight into how disaster can be managed and how it changes individual and collective cultural norms and conceptions of time, as well as management of resources in local communities. The data consists of pseudonymized transcripts of interviews. Accessible metadata describes the interviews. Tue, 20 Aug 2024 08:25:41 GMT https://researchdata.se/en/catalogue/dataset/snd1227-1 https://researchdata.se/en/catalogue/dataset/snd1227-1 Umeå University Jenny Ingridsdotter Maria Vallström Dataset of Mn/Ca, Mg/Ca and Sr/Ca of the three most-recently formed chambers (n, n-1 and n-2) of Nonionella stella (CTG-labelled) acquired by Secondary Ion Mass Spectrometry (SIMS; Nordsim, Stockholm, Sweden). Nonionella stella specimens were collected from core-top samples of three sites over a depth-gradient in the Santa Barbara Basin, off Southern California, USA. The data set is part of a study exploring the response of foraminiferal Mn/Ca to changing bottom-water oxygenation and pore-water Mn geochemistry. The data is discussed in: Brinkmann, I., Ni, S., Schweizer, M., Oldham, V. E., Quintana Krupinski, N. B., Medjoubi, K., et al. (2021). Foraminiferal Mn/Ca as bottom-water hypoxia proxy: An assessment of Nonionella stella in the Santa Barbara Basin, USA. Paleoceanography and Paleoclimatology, 36, e2020PA004167. https://doi.org/10.1029/2020PA004167. Please contact the main author for further details (inda.brinkmann@geol.lu.se). The northern SBB was sampled in May 2018 (cruise SP1811, R/V Robert Gordon Sproul) at site 1 (430 m; 34º 18.6’N, 119º 54.0’W), site 2 (505 m; 34º 20.8’N, 119º 59.0’W) and site 3 (567 m; 34º 19.2’N, 120º 03.4’W). Sediment cores were recovered with a Ocean Instruments MC800 multicorer. The cores were sliced into 0.5 cm sections (‘0–0.5 cm’, ‘0.5–1.0 cm’, ‘1.0–1.5 cm’ and ‘1.5–2.0 cm’; site 1 also 'fluff') and CTG-labelled to identify living foraminifera. Nonionella stella specimens were selected and bleached (NaOCl 5%) prior to epoxy-embedding. Trace element concentrations of test walls were analysed using a CAMECA ims1280 ion microprobe (Nordsim Laboratory, Swedish Museum of Natural History, Stockholm, Sweden); an OKA calcite crystal served as reference material. Fri, 15 Oct 2021 05:28:59 GMT https://researchdata.se/en/catalogue/dataset/2020-182-1 https://researchdata.se/en/catalogue/dataset/2020-182-1 Lund University Inda Brinkmann