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    <title>Researchdata.se</title>
    <description>Search results</description>
    <language>en</language>
    <item>
      <title>Data for: Quantifying the Number of Dark, Gray, and Bright States as a Function of Spectral Overlap in Polaritonic Systems</title>
      <description>The data as well as scripts used to generate the figures in the published article "Quantifying the Number of Dark, Gray, and Bright States as a Function of Spectral Overlap in Polaritonic Systems" by Rahul Bhuyan, Ilia Sokolovskii, Clara Schäfer, Gerrit Groenhof and Karl Börjesson is here stored. The article can be reached via https://doi.org/10.1021/acs.nanolett.5c06424</description>
      <pubDate>Thu, 04 Jun 2026 15:07:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2026-136</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2026-136</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
      <dc:creator>Karl Börjesson</dc:creator>
    </item>
    <item>
      <title>Image files from neuronal autoantibody screening for patients undergoing memory impairment investigations</title>
      <description>This dataset contains image files from 1021 memory clinic patients that have undergone screening for 5 different neuronal autoantibodies. The files are in the .nd2 format, owned by Nikon, but can be accessed through multiple open-source platforms, for example ImageJ, BioFormats or RBioFormats. For each individual, there are five files with two duplicates (two for each antigen). Each file contains three images, 2048+2048 pixels in size, that have been taken from random locations in a well in a microscopy-grade 96-well plate. The cells in the images are 293 MSR cells (ThermoFisher). For the full protocol, see https://github.com/jtheorell/Laboratory-protocols.</description>
      <pubDate>Thu, 04 Jun 2026 12:48:26 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2026-60</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2026-60</guid>
      <dc:publisher>Karolinska Institutet</dc:publisher>
      <dc:creator>Jakob Theorell</dc:creator>
    </item>
    <item>
      <title>Data for: Tasting accents: Three studies on the influence of regional accents on people's expectation and perception of food</title>
      <description>This dataset contains 20 audio files and raw data from three studies about the effect of accents on the expectations and perceptions of food. The audio files are small descriptions of the food stimuli recorded by a dialect specialist in four different accents from four Swedish counties (Skåne, Värmland, Stockholm, and Norrland) chosen to represent, respectively, the south, west, east, and north of the country. Study 1 contains data on 302 consumers’ liking of a vegan cream cheese and jam sandwich after they heard a description of the sandwich in the four mentioned accents. It also shows the willingness to meet (WTM) and a check-all-that-apply (CATA) description of the person telling a short story in the four different accents. Study 2 contains data on 314 consumers’ liking and CATA description of one dried pork sausage and one dried vegan sausage after hearing descriptions in two different accents (northern and southern). Study 3 contains data on 314 consumers’ willingness to try (WTT) and CATA description of four regional dishes after seeing a picture and listening to a description of them in the four different accents. All data was collected through online questionnaires hosted on EyeQuestion between February and Juni of 2025.</description>
      <pubDate>Fri, 29 May 2026 11:59:46 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2025-262</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2025-262</guid>
      <dc:publisher>Örebro University</dc:publisher>
      <dc:creator>Iuri Baptista</dc:creator>
      <dc:creator>Johan Swahn</dc:creator>
    </item>
    <item>
      <title>Data for: Paired with responsibility: Non-alcoholic beers are less liked when tasted alone but perform just as well as in food pairing</title>
      <description>This dataset contains the results of a consumer sensory test with 66 participants evaluating three beer types (a pilsner, an IPA, and a wheat beer) in their alcoholic (AL) and non-alcoholic (NA) versions, a total of six beers. All participants tasted each beer sample twice, first alone, then paired with skagenröra, a traditional Swedish shrimp salad. Participants evaluated liking using a 7-points hedonic scale; and flavor intensity, sourness, and bitterness using a 5-points just-about-right (JAR) scale. The data was collected at campus Grythyttan of Örebro University, Sweden, in November of 2025.</description>
      <pubDate>Fri, 29 May 2026 11:10:50 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2025-378</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2025-378</guid>
      <dc:publisher>Örebro University</dc:publisher>
      <dc:creator>Henrik Scander</dc:creator>
      <dc:creator>Johan Swahn</dc:creator>
      <dc:creator>Iuri Baptista</dc:creator>
    </item>
    <item>
      <title>Svampar i Sverige</title>
      <description>A collection of forest soil samples collected sampling was carried out in connection with the Swedish Forest Soil Inventory during 2014–2016. Organic topsoil samples were collected in 3 m2 plots in 359 conifer-dominated forest stands distributed across the Swedish boreal biome from 60° to 68° N and from 12° to 24° E. ITS2 markers were amplified from extracted DNA using the fungal-specific primer gITS7 and a 3:1 mix of the reverse primers ITS4 and ITS4arch, with both forward and reverse primers fitted with unique 8 bp sample identification tags. Composite amplicon samples were sequenced on the RSII platform (Pacific Biosciences) by SciLifeLab NGI (Uppsala, Sweden) after the addition of sequencing adaptors by ligation. 

This dataset was published via the SBDI ASV portal (https://asv-portal.biodiversitydata.se/)</description>
      <pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-3xunjd</link>
      <guid>https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-3xunjd</guid>
      <dc:publisher>GBIF Sweden</dc:publisher>
      <dc:creator>Björn Lindahl</dc:creator>
      <dc:creator>Anders Dahlberg</dc:creator>
      <dc:creator>Johan Stendahl</dc:creator>
    </item>
    <item>
      <title>VectorDistributionStatus_2026</title>
      <description>These data represent the current knowledge on the distribution (establishment) status of arthropod vectors at ‘regional’ administrative unit level NUTS3 or equivalent and NUTS2 in Austria, Belgium, Denmark, Germany, The Netherlands, England (UK), Scotland (UK) and Wales (UK), and GAUL outside EU/EEA and Western Balkans and Türkiye, as established by experts based on reports. The eventDate indicates when this status was attributed, and is valid on the date of publishing (May 2026). The NUTS system used is that of 2024 version.</description>
      <pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-7e3bwm</link>
      <guid>https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-7e3bwm</guid>
      <dc:publisher>GBIF Sweden</dc:publisher>
      <dc:creator>VectorNet</dc:creator>
    </item>
    <item>
      <title>Socio-political attitudes 1979</title>
      <description>The aim of the study is basically the same as in Socio-Political Attitudes 1975. The central aim of the study is to investigate various aspects of political perception as a function of socio-political ideology. The politically perceived objects consist mainly of political parties, party leaders, and countries. Political perception is measured using multidimensional scaling, semantic differential, and political differential techniques. Political ideology is operationalized through party affiliation and socio-political attitudes (measured using a specially designed scale). Based on these data, certain individual-level indices of cognitive articulation and cognitive differentiation are generated and subsequently related to the individual’s socio-political ideology.

In the first part of the study, several new questions concerning politics within the family and in the media have been added. Questions regarding cars, housing conditions, and siblings have also been included. The assessments of religiosity and extremism have been removed. 
The second part deals with the same group. Evaluations of the Swedish political parties and party leaders are included in this section together with party preferences.

Please note that the data files are in .ORIG format and require some conversion before use.</description>
      <pubDate>Thu, 28 May 2026 07:23:33 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd0211-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd0211-1</guid>
      <dc:publisher>Stockholm University</dc:publisher>
      <dc:creator>Bo Ekehammar</dc:creator>
    </item>
    <item>
      <title>Droplet microfluidics with image texture quantification for detection of rare antibiotic-resistant subpopulations from the bloodstream infections dataset</title>
      <description>This dataset contains experimental image data associated with the study “Droplet microfluidics with image texture quantification for detection of rare antibiotic-resistant subpopulations from bloodstream infections.” The data were generated at Uppsala University to support reproducibility, validation, and reuse of the experimental workflows and image analysis methods described in the associated publication.

The dataset consists of time-lapse TIFF image sequences acquired from droplet microfluidic experiments designed to detect rare antibiotic-resistant and heteroresistant bacterial subpopulations at single-cell resolution. Experiments were performed using both Gram-positive and Gram-negative bacterial species under antibiotic exposure conditions. Quantitative image texture analysis was applied to monitor bacterial growth dynamics within droplets over time.

The repository is organized into folders corresponding to the figures presented in the manuscript. Each folder contains the time-lapse TIFF images used to generate the associated figure. These image datasets can be used directly as input to the image processing and texture

Associated Publication: “Droplet microfluidics with image texture quantification for detection of rare antibiotic-resistant subpopulations from bloodstream infections,” published in npj Digital Medicine.

This work was supported by the Swedish Research Council (grant 2024-06176 to MT and grant 2021-02091 to DIA), Sweden’s Innovation Agency Vinnova (grant 2024-00460 to MT), and the European Research Council (ERC) under the European Union’s Horizon Europe research and innovation programme (PHOENIX grant agreement No. 101043985 to MT). The authors acknowledge Myfab Uppsala for facilities and experimental support. Myfab is funded by the Swedish Research Council (2019-00207) as a national research infrastructure.</description>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/doi-10-17044-scilifelab-31452181</link>
      <guid>https://researchdata.se/en/catalogue/dataset/doi-10-17044-scilifelab-31452181</guid>
      <dc:publisher>Uppsala University</dc:publisher>
      <dc:creator>Sagar Agnihotri</dc:creator>
      <dc:creator>Nikos Fatsis-Kavalopoulos</dc:creator>
      <dc:creator>Emma Vikdahl</dc:creator>
      <dc:creator>Jonas Windhager</dc:creator>
      <dc:creator>Agustin Corbat</dc:creator>
      <dc:creator>Dan Andersson</dc:creator>
      <dc:creator>Maria Tenje</dc:creator>
    </item>
    <item>
      <title>Data from 'Modifying Klucel G: Evaluation of non-aqueous iron gall ink corrosion treatments', (RAÄ-2023-0820)</title>
      <description>Data supplementing the article 'Modifying Klucel G: Evaluation of non-aqueous iron gall ink corrosion treatments'. The data was originally collected as part of a collaborative project between the University of Gothenburg, the Swedish National Archives, the Swedish National Heritage Board and RISE Research Institutes of Sweden, called "Stabilising heritage: Iron gall ink corrosion on paper and the eternal search for an ideal treatment" (Diarienummer RAÄ-2023-0820). Data from the following analytical techniques is included: 1. Scanning electron microscopy with energy dispersive x-ray spectroscopy (SEM-EDS); 2. X-ray fluorescence spectroscopy (XRF); 3. Tensile testing; 4. pH measurements; 5. Colorimetry. Instrument reports are also included for the SEM-EDS and XRF analysis. The intention of the project was to develop a non-aqueous treatment method for documents containing iron gall ink which could provide both mechanical stability and reduce the corrosion rate. SEM-EDS mapping was performed to observe the penetration depth of the ink and treatment materials in the paper samples while XRF lines scans were performed to better understand the phenomenon of a "halo" effect around certain ink samples after treatment. Tensile testing was performed to understand the effects of treatments and aging on the mechanical properties of the paper. Colorimetry was used to understand color changes as the result of aging and treatment, while pH was used to determine the effects of treatments on sample pH. All data was originally collected as part of the master's thesis "Stabilising heritage: Iron gall ink corrosion on paper and the eternal search for an ideal treatment: " by Anna Lagerqvist Alidoost, Department for Conservation, University of Gothenburg (https://hdl.handle.net/2077/82110).</description>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-20427712</link>
      <guid>https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-20427712</guid>
      <dc:publisher>Swedish National Heritage Board</dc:publisher>
      <dc:creator>Canosa, Elyse</dc:creator>
      <dc:creator>Lagerqvist Alidoost, Anna</dc:creator>
      <dc:creator>Mathias, Bark</dc:creator>
    </item>
    <item>
      <title>Data for manuscript: "Utilizing Strategy Mapping Software for Participatory Evaluation of Crisis Management Efforts: A Case Study"</title>
      <description>Transcribed interviews and workshop results in Swedish. 

LiU secure repository is a data repository that hosts research data which cannot be openly available for ethical or legal reasons. LiU secure repository is managed by Linköping University Library as a service to researchers at Linköping University (Sweden). For requests of access or further information, please contact datamanagement@liu.se</description>
      <pubDate>Wed, 27 May 2026 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-20410516</link>
      <guid>https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-20410516</guid>
      <dc:publisher>Linköping University</dc:publisher>
      <dc:creator>Björnqvist, Anton</dc:creator>
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