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    <link>https://researchdata.se/en/catalogue</link>
    <title>Researchdata.se</title>
    <description>Search results</description>
    <language>en</language>
    <item>
      <title>Data for: Landscape-scale drivers of insect pest regulation in sugar beet</title>
      <description>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.</description>
      <pubDate>Mon, 06 Oct 2025 14:32:57 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2025-255</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2025-255</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Ola Lundin</dc:creator>
      <dc:creator>Fabian Boetzl</dc:creator>
    </item>
    <item>
      <title>Communities in infrastructure habitats are species-rich but only partly support species associated with semi-natural grasslands</title>
      <description>This study makes part of the research project GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. The aim of the project was to quantify whether linear infrastructure habitats (road verges and power-line corridors) support biodiversity by assessing the influence of the area of these habitats in the landscape, their contribution to landscape connectivity and population persistence.

The linked data was collected by surveying butterflies, bumblebees, and vascular plants in five types of prevalent grasslands (pastures, road verges along small gravel roads, road verges along big paved roads, power line corridors, and field borders). These grasslands were embedded in 32 landscapes with area 4 km² each, that differed in the area of linear infrastructure habitats (road verges and power line corridors) and semi-natural grasslands of high nature value, while other land-use types were kept constant. The landscapes were dominated by forest. 
Within each grassland habitat, the surveyor established a 200 m transect and then identified all butterflies and bumblebees along it. For plants, a 1 x 1 m quadrat was established at the centre of a 50 m section in each transect, i.e. each transect had four plots in which all plant species were identified.

Denna studie är en del av projektet GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. Projektets huvudsyfte var att kvantifiera om linjära infrastrukturmiljöer (vägkanter och kraftledningsgator) bidrar till mångfalden av växter och insekter i olika rumsliga skalor. Detta gjordes genom att uppskatta hur linjära infrastrukturmiljöers mängd i landskapet bidrar till mångfalden samt hur mycket de bidrar till landskapets konnektivitet.
Datan samlades genom att inventera dagfjärilar, humlor, och växter i fem typer av gräsmarker (betesmarker, vägrenar längs enskilda vägar, vägrenar längs allmänna vägar, kraftledningsgator, och åkerkanter). Alla dessa habitat typer fanns inom 32 landskap med area 4 km2 som skilde sig i areal av linjära infrastrukturmiljöer (vägrenar och kraftledningsgator) och ängs-och betesmarker. Arealen av andra markanvändningar var konstanta mellan landskap och alla landskap var skogsdominerade.</description>
      <pubDate>Thu, 04 Apr 2024 09:16:47 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-23-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-23-1</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Juliana Dániel-Ferreira</dc:creator>
      <dc:creator>Yoan Fourcade</dc:creator>
      <dc:creator>Riccardo Bommarco</dc:creator>
      <dc:creator>Jörgen Wissman</dc:creator>
      <dc:creator>Erik Öckinger</dc:creator>
    </item>
    <item>
      <title>Data for the paper: Modelling metal uptake by selected vegetables from urban soils in Europe: Uncovering key soil factors using Partial Least Squares Regression (PLS-R)</title>
      <description>The dataset comprises geochemical analysis data from 22 soils collected from allotment gardens in urban environments across six cities in Europe, along with chemical analyses of three vegetables cultivated in a greenhouse environment using these soils. The soils exhibit varying degrees of contamination by typical urban metal contaminants; Ba, Cd, Cu, Ni, Pb, and Zn.
The record consists of two files, a CSV file containing analysis data, and a PDF document with explanations and descriptions of analysis methods for the parameters in the CSV file.</description>
      <pubDate>Fri, 28 Feb 2025 14:15:23 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-58</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-58</guid>
      <dc:publisher>Linnaeus University</dc:publisher>
      <dc:creator>Maria Lundgren</dc:creator>
      <dc:creator>Anna Augustsson</dc:creator>
    </item>
    <item>
      <title>Historical distribution maps of vascular plants in Northern Europe</title>
      <description>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., &amp; Hylander, K. (2025a) Historical distribution maps of vascular plants in Northern Europe. [Data paper].
Arnell, M., Auffret, A. G., &amp; 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.</description>
      <pubDate>Fri, 23 Jan 2026 09:54:11 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2025-151</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2025-151</guid>
      <dc:publisher>Stockholm University</dc:publisher>
      <dc:creator>Matilda Arnell</dc:creator>
      <dc:creator>Alistair G. Auffret</dc:creator>
      <dc:creator>Kristoffer Hylander</dc:creator>
    </item>
    <item>
      <title>Dataset for "Traffic intensity and vegetation management affect flower-visiting insects and their response to resources in road verges"</title>
      <description>This data set comprises the flower density and abundance, richness and evenness of wild bees and butterflies in 37 road verges in Skåne county in southern Sweden, as well as information about the respective road verge width, traffic intensity in the adjacent road, mowing frequency, habitat quality and exact location. 
It is a crossed study design, allowing to separate the effects of road verge classification (valuable or regular) from the effects of mowing frequency (mowing once or twice) through the following four combinations: Valuable and mowed once, valuable and mowed twice, regular and mowed twice, regular and mowed once. Within each combination, there is a gradient in traffic intensity comparable between combinations.
The data on plants and pollinators was assessed during fieldwork in 2021 and 2022. The data on traffic intensity and habitat quality was derived from the national road database: https://nvdb2012.trafikverket.se/.

To get information about land cover we used the National Land Cover Database from the Swedish Environmental Protection Agency:
https://metadatakatalogen.naturvardsverket.se/metadatakatalogen/GetMetaDataById?id=8853721d-a466-4c01-afcc-9eae57b17b39
To select landscapes without meadows and pastures of high nature value within 350m of the study sites we used the TUVA database from the Swedish Board of Agriculture:
https://etjanst.sjv.se/tuvaut/
To select road verges, we used the environmental and infrastructure data from the national road database NVDB from Trafikverket:
https://nvdb2012.trafikverket.se/

The data set consists of 37 rows and 361 columns, excluding headers. Each row contains information for one studied road verge (37 in total). The columns contain information on the unique identifier of each road verge (‘SiteID’), the coordinates of the middle of the 200 m long transect in each road verge (‘N’, ‘E’), road verge quality (‘RV_Quality’), mowing frequency (‘Mowed’), mean width of the road verge (‘VergeWidthMean’), traffic intensity (‘TI’), flower density (‘Flow_Dens’), butterfly abundance, richness and evenness (‘BF_Abun’, ‘BF_Rich’, ‘BF_Even’), wild bee abundance, richness and evenness (‘WB_Abun’, ‘WB_Rich’, ‘WB_Even’), and vascular plant richness (‘Vasc_Rich’). The columns P-IN contain the frequency of each vascular plant species observed in our study, with the species name as column header. The columns IO-JU contain the abundance of butterfly species observed in our study, with the species name as column header. The columns JV-MW contain the abundance of wild bee species observed in our study, with the species name as column header.
For further explanation on the information and how it was assessed, please see the README file.</description>
      <pubDate>Mon, 13 May 2024 11:46:45 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-22</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-22</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Svenja Horstmann</dc:creator>
      <dc:creator>Alistair G. Auffret</dc:creator>
      <dc:creator>Lina Herbertsson</dc:creator>
      <dc:creator>Björn K. Klatt</dc:creator>
      <dc:creator>Sophie Müller</dc:creator>
      <dc:creator>Erik Öckinger</dc:creator>
    </item>
    <item>
      <title>Data for: Impacts of large herbivores on mycorrhizal fungal communities across the Arctic</title>
      <description>Data deposited in association with article to be published in the journal: Ecography. Fungal DNA was extracted from soil samples collected at herbivore exclosure experiments in 15 sites around the Arctic to evaluate the impact of large mammalian herbivores on mycorrhizal fungal communities. The data includes DNA sequence reads amplified using ITS1m-LR5 and SSU515fngs-AML2 long-read primer pairs targeting general fungal sequences and arbuscular mycorrhizae, respectively. Sequences were taxonomically assigned through the UNITE database using PlutoF, and the MaarjAM database and assigned to fungal guild using FUNguild. The pipeline from trimmed, demultiplexed sequence reads to taxonomic and functional assignment is included in the Rscript "EcographySubmission_SynthesisScript.R". Soil properties, date of exclosure establishment, and general metadata is included in the file "MetaData.csv", and percent plant functional type cover is included for 11 sites in the file "Cover_data.csv". 

Raw sequence reads were deposited in the Sequence Read Archive (SRA) under the title "Impacts of large herbivores on mycorrhizal fungal communities across the Arctic".</description>
      <pubDate>Thu, 04 Dec 2025 14:31:06 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2025-328</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2025-328</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
      <dc:creator>Cole Brachmann</dc:creator>
      <dc:creator>Martin Ryberg</dc:creator>
      <dc:creator>Brendan R. Furneaux</dc:creator>
      <dc:creator>Anna Rosling</dc:creator>
      <dc:creator>Tinghai Ou</dc:creator>
      <dc:creator>Alf Ekblad</dc:creator>
      <dc:creator>Isabel C. Barrio</dc:creator>
      <dc:creator>M. Syndonia Bret-Harte</dc:creator>
      <dc:creator>Hannu Fritze</dc:creator>
      <dc:creator>Laura Gough</dc:creator>
      <dc:creator>Robert D. Hollister</dc:creator>
      <dc:creator>Ingibjörg S. Jónsdóttir</dc:creator>
      <dc:creator>Oula Kalttopää</dc:creator>
      <dc:creator>Elin Lindén</dc:creator>
      <dc:creator>Päivi Mäkiranta</dc:creator>
      <dc:creator>Johan Olofsson</dc:creator>
      <dc:creator>Rauni Partanen</dc:creator>
      <dc:creator>Kirsten A. Reid</dc:creator>
      <dc:creator>Aleksandr Sokolov</dc:creator>
      <dc:creator>Svetlana Abdulmanova</dc:creator>
      <dc:creator>Maija S. Sujala</dc:creator>
      <dc:creator>Maja Sundqvist</dc:creator>
      <dc:creator>Otso Suominen</dc:creator>
      <dc:creator>Craig E. Tweedie</dc:creator>
      <dc:creator>Amanda Young</dc:creator>
      <dc:creator>Robert G. Björk</dc:creator>
    </item>
    <item>
      <title>Biomass availability from the harvest of crop residues and oilseed radish as an intermediate crop at yield survey district level in Sweden</title>
      <description>The data set is a result of a study that investigates the potential of intermediate crops to offset the negative effects on soil organic carbon as a consequence of the removal of crop residues for the bioeconomy. The study used the statistics from the Swedish Board of Agriculture as inputs for estimating the availability of crop residues, possibilities to cultivate intermediate crops, and total and potentially stabilized organic carbon. It considered all the Swedish yield survey districts (SKO) where the removal of residues and cultivation of intermediate crops is technically possible. The information is provided in a text file and in seven shape files containing spatial information. The original geospatial data for the SKO boundaries in shapefile format was obtained from Jordbruksverket (CC BY 4.0). These have also been converted into a GeoPackage file.
This data set contains estimations at the yield survey district level on:
- Crop residue availability per agricultural crop
- Area availability for cultivation of intermediate crops
- Biomass production of oilseed radish as intermediate crop
- Carbon contribution as total and stable carbon from intermediate crops and crop residues
The file contains 106 rows (yield disctricts) and 30 columns.
For a more detailed description of methods etc., see Barrios Latorre, S.A. et al (2024), Agricultural Systems.</description>
      <pubDate>Wed, 24 Jan 2024 08:59:44 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-170</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-170</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Sergio Alejandro Barrios Latorre</dc:creator>
    </item>
    <item>
      <title>Riksmaten 1997-98</title>
      <description>In 1997-98, the Statistics Sweden in co-operation with the National Food Administration (NFA) carried out the second nationwide Swedish dietary survey, Riksmaten. The study was a follow-up of the previous survey (Hulk) carried out in 1989, using similar design and methods. In Riksmaten a representative sample of 2000 households consisted the survey base. In each household one person, aged 18-74 years, was selected to register food intake in a precoded 7-days record book. The participants also filled in a questionnaire with information on body weight, height, education, occupation, physical activity, smoking habits and other lifestyle factors. The sampling design was continuous, i.e. a number of households were invited to participate every second week, thus covering the whole year.

The population in Riksmaten 1997-98 was all registered persons in Sweden between 18-74 years. Subjects were drawn by using systematic sampling from a population register. The selection was based on 2,027 individuals and participation rate comprised 60 %.

The survey contained 32 questions (regarding height, weight, use of supplements, the type of fats and salt in cooking, smoking and snuff, exercise , education , health status etc.).

Purpose:

The aim was to examine food consumption and nutrient intake among women and men in Sweden.

The dataset contains food registry and a survey from the study participants.</description>
      <pubDate>Tue, 12 Jan 2021 13:25:14 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/ext0094-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/ext0094-1</guid>
      <dc:publisher>National Food Agency</dc:publisher>
    </item>
    <item>
      <title>Riksmaten children 2003</title>
      <description>A national food survey was carried out during 2003 on children 4 year old and school children in grade 2 and in grade 5. The method was an open and estimated food diary over four consecutive days. All days were evenly represented in the survey. The food diary was filled in by the children or with the help of parents or carer. Portion sizes and amounts of all food and drink eaten by the children were estimated with the help of a picture book. It was also noted when and where food was eaten as well as the fat content, mode of preparation, certain additives and brand name. Intake of supplements and level of physical activity was also recorded.  In addition, an optically readable questionnaire contained questions about weight, height, parents’ education and profession, ethnic background and regional residence.

Children 4 year old were randomly sampled from a stratified sample of municipalities representative of Sweden. School children were sampled on the basis of school classes. The survey took place during spring and autumn 2003. The sample size of children 4 year old was 924 of which 590 fulfilled the survey. 1 209 children in grade 2 were sampled of which 889 fulfilled the survey and 1 290 children in grade 5 were sampled of which 1 016 fulfilled the survey. Children 4 year old dropped out due to time constraints or that day-care institutions did not want to participate. School children dropped out because it was too difficult, they forgot or did not have time.

Purpose:
The main purpose was to increase the knowledge about what children in the studied ages are eating and drinking, examine meal patterns, energy and nutrient intake, and also identify possible associations between eating habits and background factors.</description>
      <pubDate>Wed, 21 Dec 2016 13:28:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/ext0096-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/ext0096-1</guid>
      <dc:publisher>National Food Agency</dc:publisher>
    </item>
    <item>
      <title>Riksmaten adults 2010-2011</title>
      <description>In Riksmaten adults 2010–11, a representative sample of 5000 individuals between 18–80 years living in Sweden were invited to participate in the study. The data collection took place between May 2010 and July 2011. Riksmaten adults 2010-11 included three parts: diet registration, survey, and sampling (blood and urine).

A total of 2268 individuals participated in Riksmaten adults 2010-11, of which 1 797 in the dietary registration, 2140 in the survey and 300 people in the sampling. The participation rate differed between the various parts of the survey.

In the dietary registration, the participants reported everything they ate and drank during four consecutive days. The reporting was done in a web-based food diary. The questionnaire, which also were web-based, consisted about 50 questions. Some of the participants were asked, in addition to diet registration and survey, also to give blood and urine samples.

Purpose:

The aim was to examine food consumption and nutrient intake among women and men in Sweden.

Dataset includes dietary registrations.</description>
      <pubDate>Wed, 21 Dec 2016 13:33:21 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/ext0093-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/ext0093-1</guid>
      <dc:publisher>National Food Agency</dc:publisher>
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