https://researchdata.se/sv/catalogue Search results sv Datamängden innehåller bearbetade lösningstillstånds-protein-NMR-spektra för MALT1 (45 kDa), Azurin (14 kDa) och Tau (ostrukturerat, 45,8 kDa), härledda från experimentellt inspelade 2D- och 3D-data som erhållits i tidigare studier och publicerats tidigare: (1) DOI: 10.1371/journal.pone.0146496; DOI: 10.1007/s12104-022-10105-3; (2) DOI: 10.1110/ps.0225403; (3) DOI: 10.1002/anie.202102758. All bearbetad data lagras i NMRPipe-format (.ft2- och .ft3-filer) och har genererats med hjälp av standardiserade NMR-bearbetningsprocedurer. Datan kan läsas och visualiseras med programvara som är kompatibel med NMRPipe, såsom NMRPipe (https://www.ibbr.umd.edu/nmrpipe/ ), Python-paketet nmrglue (https://github.com/jjhelmus/nmrglue ) eller annan programvara som stöder NMRPipe-formatet, inklusive CCPN 3.0 (https://ccpn.ac.uk/ ) och senare versioner. Dessa bearbetade spektra används som indatafiler för AI-baserade metoder för att förbättra NMR-spektral upplösning. Wed, 04 Mar 2026 10:39:37 GMT https://researchdata.se/sv/catalogue/dataset/2025-377 https://researchdata.se/sv/catalogue/dataset/2025-377 Göteborgs universitet Tatiana Agback Vladislav Orekhov ABSTRACT A central feature of consciousness is the association between external events and subjective experiences of content. These experiences range from low level (detection) to high level (identification). For example, a visual experience may range from seeing something on a computer screen (detection) to seeing the digit 3 (identification). In research, neural processes that correlate with these experiences are called neural correlates of consciousness (NCCs). In vision, a candidate NCC is the visual awareness negativity (VAN) that is derived from event-related potentials, occurring about 200 ms after stimulus onset over posterior electrode sites. Because previous research does not resolve whether VAN is more sensitive to low-level experiences (detection awareness) than high-level experiences (identification awareness), we conducted two preregistered experiments. In both experiments, two staircases continuously adjusted stimulus opacity to separately target detection awareness and identification awareness. In Experiment 1, subjects viewed either individual digits (N = 15) or individual letters or digits (N = 15). For both types of stimuli, VAN was similarly sensitive to detection awareness and identification awareness. As a follow up, Experiment 2 (N = 28) examined whether stimulus size affects VAN to identification awareness using digit stimuli. Results showed identification VAN for both digit sizes, and VAN was unaffected by stimulus size. These results confirm the sensitivity of VAN to both low-level experiences (detection) and high-level experiences (identification). However, results emphasize the limited specificity of VAN in separating between low-level and high-level experiences, suggested by the similarity of VAN in both conditions. ETHICS STATEMENT In accordance with the Declaration of Helsinki, subjects provided their written informed consent (this included their consent that their data would be shared in anonymized form). The study was approved by the Swedish Ethical Review Authority (2022-06409-01). The uploaded data are considered anonymized because there is no key that links test subjects to their data. DATE & LOCATION OF DATA COLLECTION The study comprised two experiments. Subjects for experiment 1 (N = 31; Final sample: N = 30) were tested between May 2023 and June 2023 at the Department of Psychology, Campus Albano, Stockholm, Sweden. Subjects for experiment 2 (N =29; Final sample: N = 28) were tested between October 2023 and November 2023 at the Department of Psychology, Campus Albano, Stockholm, Sweden. DATA & FILE OVERVIEW The files contain the raw data, scripts, and results of main and supplementary analyses of the electroencephalography (EEG) study reported in the main publication. Note: In the figures and analysis scripts, experiment 1 is called K17, and experiment 2 is called VAN3. File Structure There are three main folders: - CompleteResults: Contains all results files generated in R-quarto (in html format), taken from each experiment folder. - Experiment_1: Contains all material, including figures, regarding experiment 1. - Experiment_2: Contains all material, including figures, regarding experiment 2. This folder also contains R folder with scripts to analyze data across experiments. Raw Data and Scripts for Experiment and Analysis For raw data and scripts, see folders Experiment_1 and Experiment_2 for supplementary files regarding experiment 1 and experiment 2, respectively. The structure of these folders is identical. Within these folders, see: - Data folder for raw .bdf-files and corresponding logfiles. - MNE folder for scripts of MNE-python for processing EEG-data. - Psychopy folder for scripts to run the experiments. - R folders for scripts to analyze the data. Thu, 12 Feb 2026 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-26879077 https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-26879077 Stockholms universitet Stefan Wiens The presence of resinwood in Cronartium pini-infected Scots pine stems represents a major quality concern, diminishing timber value and challenging processing workflows. Although X‑ray computed tomography (CT) provides a non‑destructive means of visualising internal density, robust and automated methods to separate resinwood from heartwood and sapwood in such scans remain underdeveloped. To address this, we present a hybrid image analysis pipeline that combines a slice‑adaptive Gaussian Mixture Model (GMM), this statistically characterises tissue‑specific density patterns in each CT slice. This dataset was created through X-ray computed tomography (CT) imaging for developing segmentation method that capable identifying internal resinwood. Infected pine tree samples were inspected and harvested by trained inventory specialist, then scanned by MicroTec Mito industrial-scale CT scanner. The scanner produced data using a cone beam and two angled flat detectors on a helical scanning trajectory. The spatial resolution and resulting voxel dimensions were uniform at 0.5 × 0.5 × 0.5 mm³. The resolution of each image was 750 x 750 pixels on 2D. The resulting 3D images comprised 16-bit greyscale values representing density in kg/m³ at each location, and helical 1PI Katsevich was used for image reconstruction. Fri, 23 Jan 2026 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-29543516 https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-29543516 Luleå tekniska universitet Sheng Leslie Joevenller Fredrik Nysjö kari hyll Fredrik Forsberg Henrik Svennerstam Liviu Ene Dick Sandberg Dataset generated for 10.1101/2025.04.22.649936 (https://doi.org/10.1101/2025.04.22.649936) , using an assay with 6 balanced MoA classes. The dataset contains time-lapse images of A549 and U2OS cells. Paired github repository: https://github.com/edvinforsgren/LCTP The data contains time-lapse images of two cell lines (A549 and U2OS). The cells were cultivated in an benchmark assay developed for a paper where analysis of a single time-point versus analysis of the full time-lapse was evaluated as a way to determine if adding temporal data could enhance the mined features and improve downstream tasks. The experimental set-up consists of three biological replicates (i.e. three plates with unique layout variants) for each cell-line (A549 and U2OS) with 5 technical replicates (i.e. 5 wells) and 15 DMSO control wells each - for a total of 15 replicates and 45 DMSO replicates for each cell-line. The time-lapse acquisition was taken with 2 hours between each acquisition over a duration of 72 hours. Wed, 21 Jan 2026 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-29315642 https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-29315642 Umeå universitet David Holmberg Pär Jonsson Ola Spjuth Gillian Lovell Johan Trygg Jordi Carreras-Puigvert Martin Johansson Jonne Rietdijk Edvin Forsgren Data består av erfarenheter av insatser för proaktiv self-management hos personer med kronisk sjukdom och hälso- och sjukvårdspersonal. Data inhämtades genom fem fokusgruppsdiskussioner, två med medlemmar i patientföreningar och tre med hälso- och sjukvårdspersonal vid hälsocentraler. Data är på svenska. En av fokusgrupperna med hälso- och sjukvårdspersonal genomfördes på deras primärvårdsenhet medan de övriga genomfördes digitalt. Samtliga spelades in via en ljudfil. Ljudfilerna transkriberades i Microsoft Word. Ljudfilerna transkriberades ordagrant. Transkriberad data utgör datamaterialet. Analys genomfördes sedan med klassisk fokusgruppsanalys för att hitta mönster i data. Tue, 30 Sep 2025 11:27:18 GMT https://researchdata.se/sv/catalogue/dataset/2025-181 https://researchdata.se/sv/catalogue/dataset/2025-181 Luleå tekniska universitet Patrik Sjöberg Maria Larsson-Lund This database was created by a joint effort from the Realistic 3D research group at Mid Sweden University (Sundsvall, Sweden) and the School of Telecommunications Engineering in Xidian University (Xi'an, China). The database details are explained thoroughly in the publication, which is accepted (and to appear in the proceedings of) the 27th IEEE International Workshop on Multimedia Signal Processing (MMSP) in 2025.  You can use this database in your work under the Creative Commons Attribution 4.0 International (CC-BY 4.0) licence, provided that you cite the database as below: Zerman, E., Takhtardeshir, S., Trioux, A., Qin, J., Wu, W., Olsson, R., & Sjöström, M. (2025). Subjective Visual Quality Assessment of Compressed Light Field Images: Learning-based vs. Conventional Methods. The 27th IEEE International Workshop on Multimedia Signal Processing (MMSP).DOI: (To be updated after publication) BibTeX: @inproceedings{zerman2025subjective  title        = {Subjective Visual Quality Assessment of Compressed Light Field Images: Learning-based vs. Conventional Methods},  author       = {Zerman, Emin and Takhtardeshir, Soheib and Trioux, Anthony and Qin, Jianlong and Wu, Wenjie and Olsson, Roger and Sj{\"o}str{\"o}m, M{\aa}rten},  booktitle    = {The 27th IEEE International Workshop on Multimedia Signal Processing (MMSP)},  year         = {2025},  organization = {IEEE}} This database contains 85 light field stimuli, rendered as pseudo-video sequences with a spiral trajectory, and the subjective quality scores collected by 40 people in two different countries (19 in Mid Sweden University, Sweden; and 21 in Xidian University, China). The 85 LF stimuli were generated from 5 source LFs using 4 different LF compression methods, comprising two conventional methods (H.265/HEVC and JPEG Pleno) and two learning-based methods (RLVC and EF-VAE). Fri, 08 Aug 2025 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-5281-zenodo-16778671 https://researchdata.se/sv/catalogue/dataset/doi-10-5281-zenodo-16778671 Mittuniversitetet Zerman, Emin Takhtardeshir, Soheib TRIOUX, Anthony Olsson, Roger Sjöström, Mårten Resinwood in Scots pine timber resulting from Cronartium pini infection represents an important quality defect, substantially reducing sawn yield and economic value in sawmilling. This dataset generated from X-ray computed tomography (CT) for non-destructive resinwood detection across wood moisture states. Scots pine specimens exhibiting external cankers were harvested and scanned using an industrial MicroTec CT scanner in both green and dry states, included full logs and 3-cm-thick discs. Comparative density analysis identified regions of interest based on elevated density patterns. The scanner produced data using a cone beam and two angled flat detectors on a helical scanning trajectory. The spatial resolution and resulting voxel dimensions were uniform at 0.3 × 0.3 × 0.3 mm³. The resulting 3D images comprised 16-bit greyscale values representing density in kg/m³ at each location, and helical 1PI Katsevich was used for image reconstruction. Related materials:- Identifier 10.1080/17480272.2025.2536725 - Title X-ray computed tomography-based qualitative analysis of internal resinwood in Scots pine - Identifier Peer Review Journal Article - Relation type Dataset that used for producing the research article Wed, 23 Jul 2025 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-29479973 https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-29479973 Luleå tekniska universitet Sheng Leslie Joevenller Johannes Huber Henrik Svennerstam Fredrik Nysjö Olov Karlsson Supplementary material for the associated publication. ABSTRACT In the search for the neural correlates of auditory consciousness, a candidate has been found using electroencephalography: the auditory awareness negativity (AAN). Earlier studies have investigated the AAN in response to lateralized sound. With headphones, there is a clear lateralization of AAN when two auditory lateralization cues are combined: the interaural level difference (ILD) and interaural time difference (ITD). To separate the contribution of these cues to a lateralized AAN, we tested three stimulus conditions with headphones: A combination of ILD and ITD, solely ITD, and monaural stimulation. Results suggest that ILD and ITD are required in conjunction for a lateralized AAN, and neither ITD nor monaural stimulation can yield a lateralized AAN. These results suggest that event-related potentials may be limited in measuring the lateralization of the neural correlates of auditory consciousness to lateralized sounds, depending on auditory cues and acoustic environment. ETHICS STATEMENT Ethical review and approval were not required for studying human subjects in accordance with local law and institutional requirements, as we did not collect personal and biological data that can be traced back to the subject. The experiment adhered to the declaration of Helsinki. Subjects were required to provide their written informed consent to participate in this study and that their raw data will be shared in anonymized form. The uploaded data are considered anonymized because there is no key that links test subjects to their data. DATE & LOCATION OF DATA COLLECTION The study comprised two experiments. Subjects for experiment 1 (N = 32; Final sample: N = 31) were tested between November 2023 and February 2024 at the Department of Psychology, Campus Albano, Stockholm, Sweden. Subjects for experiment 2 (N = 44; Final sample: N = 40) were tested between February 2024 and May 2024 at the Department of Psychology, Campus Albano, Stockholm, Sweden. DATA & FILE OVERVIEW The files contain the raw data, scripts, and results of main and supplementary analyses of the electroencephalography (EEG) study reported in the main publication. !NB! In the figures and analysis scripts, experiment 1 is called AAN_ITD, and experiment 2 is called AAN_MONO. Within experiment 1, the ILD+ITD condition is called “control.” File Structure The supplementary materials are organized by experiment/analysis within the study. At the top level there is one Readme.pdf file and three main folders: * Eklund_Reanalysis: Contains all material regarding the reanalysis of Eklund et al (2021). * Experiment 1: Contains all material, including figures, regarding experiment 1. * Experiment 2: Contains all material, including figures, regarding experiment 2. Main Results For results, ERPs, and topoplots, see folders Experiment_1 and Experiment_2. The folders are identical in structure, containing: + Analysis files, in .html-format, with all results and statistical models separated by AAN and LP. These files are created using Quarto in R, and contain code snippets to all available results, to allow for transparency into analyses. + ERPs of grand averages of AAN and LP. + Topographical plots of grand averages of AAN and LP. Folder Experiment_2 additionally contains files regarding comparative analyses between experiment 1 and 2: + Analysis_Comparison_AAN.html for comparison of AAN between experiments. + Analysis_Comparison_LP.html for comparison of LP between experiments. Raw Data and Scripts for Experiment and Analysis For raw data and scripts, see folders Experiment_1 and Experiment_2 for supplementary files regarding experiment 1 and experiment 2, respectively. Within these folders, see the zipped raw data files. The structure of these folders is identical. Within these folders, see: + Data folder for raw .bdf-files and corresponding logfiles. + Mne folder for scripts of MNE-python for processing EEG-data. ++ Preprocess.py preprocesses the raw EEG files and applies ICA. ++ Analysis_epoch constructs the figures. ++ Results folder contains ERPs separately per subject and grand averages. + Psychopy folder for scripts to run the experiments. ++ Exp_AAN_ITD.py runs experiment 1. ++ Exp_AAN_MONO.py runs experiment 2. ++ Settings.tsv sets, and logs, staircasing and behavioral results. ++ The rest are supporting files used by our lab. + R folder for scripts to analyze the data. ++ Raw code in steps (numbered 1, 2, 3) to compute and analyze models. +++ For comprehensive summary with code snippets, see Analysis (.html) files above, in folders Experiment_1 and Experiment_2. ++ For results, and Bayesian models, see results-subfolder: +++ Subfolder figures contains mean amplitude plots (such as figure 1 and 2, published in the article). Reanalysis of Eklund et al (2021) For reanalyzed data from Eklund et al. (2021), see folder Eklund_Reanalysis: + reanalysis_AAN_Eklund_2021.html for reanalyzed AAN. + reanalysis_LP_Eklund_2021.html for reanalyzed LP. + For raw data and scripts of the reanalysis, see Eklund_reanalysis_raw_data.zip Tue, 14 Jan 2025 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-28052888 https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-28052888 Stockholms universitet Stefan Wiens Mingaile Greiciute Billy Gerdfeldter Supplementary material for the associated publication. ABSTRACT The neurological basis for perceptual awareness remains unclear, and theories disagree as to whether sensory cortices per se generate awareness. Critically, neural activity in the sensory cortices is only a neural correlate of consciousness (NCC) if it closely matches the contents of perceptual awareness. Research in vision and touch suggest that contralateral activity in sensory cortices is an NCC. Similarly, research in hearing with two sound sources (left and right) presented over headphones also suggests that a candidate NCC called the auditory awareness negativity (AAN) matches perceived location of sound. The current study used 13 different sound sources presented over loudspeakers for natural localization cues and measured event-related potentials (ERPs) to a threshold stimulus in a sound localization task. Preregistered Bayesian mixed models provided moderate evidence against an overall AAN and very strong evidence against its lateralization. Because of issues regarding data quantity and quality, exploratory analyses with aggregated data from multiple loudspeakers were conducted. Results provided moderate evidence for an overall AAN and strong evidence against its lateralization. Nonetheless, the interpretations of these results remain inconclusive. Therefore, future research should reduce the number of conditions and/or test over several sessions to procure a sufficient amount of data. Taken at face value, the results may suggest issues with AAN as an NCC of auditory awareness, as it does not laterally map onto experiences in a free-field auditory environment, in contrast to the NCCs of vision and touch. ETHICS STATEMENT Ethical review and approval were not required for studying human subjects in accordance with local law and institutional requirements, as we did not collect personal and biological data that can be traced back to the subject. The experiment adhered to the declaration of Helsinki. Subjects were required to provide their written informed consent to participate in this study and that their raw data will be shared in anonymized form. The uploaded data are considered anonymized because there is no key that links test subjects to their data. DATE & LOCATION OF DATA COLLECTION Subjects (N = 56; Final sample: N = 37) were tested between August 2022 and October 2022 at the Department of Psychology, Campus Albano, Stockholm, Sweden. DATA & FILE OVERVIEW See readme file for details. Thu, 15 Aug 2024 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-25610217 https://researchdata.se/sv/catalogue/dataset/doi-10-17045-sthlmuni-25610217 Stockholms universitet Stefan Wiens Billy Gerdfeldter This database is created by the Realistic 3D research group at Mid Sweden University, Sundsvall, Sweden. The database details are explained thoroughly in the publication which was published at the 16th International Conference on Quality of Multimedia Experience (QoMEX) in 2024. This database was also reviewed as part of the submission and publication process. You can use this database in your work under the Creative Commons Attribution 4.0 International (CC-BY 4.0) licence, provided that you cite the database as below: Zerman, E., Gond, M., Takhtardeshir, S., Olsson, R., & Sjöström, M. (2024). A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications. The 16th International Conference on Quality of Multimedia Experience (QoMEX). IEEE. DOI: 10.1109/QoMEX61742.2024.10598264 BibTeX: @inproceedings{zerman2024spherical,  title        = {A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications},  author       = {Zerman, Emin and Gond, Manu and Takhtardeshir, Soheib and Olsson, Roger and Sj{\"o}str{\"o}m, M{\aa}rten},  booktitle    = {The 16th International Conference on Quality of Multimedia Experience (QoMEX)},  year         = {2024},  organization = {IEEE},  doi          = {10.1109/QoMEX61742.2024.10598264}} This database contains 20 spherical light fields of 1 x 60 views, captured with a consumer-grade 360-degree camera: Insta360 X3. The capture was done using a dolly to ensure the separation between consecutive views is exactly 1 cm. In addition to the original captures, this database also provides outputs for two different use cases: compression and view synthesis. Several parameters, features, and objective quality metric values are also included. N.B. Only the README file and this description have been updated after the initial submission on 2024-02-09. Fri, 09 Feb 2024 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-5281-zenodo-13342006 https://researchdata.se/sv/catalogue/dataset/doi-10-5281-zenodo-13342006 Mittuniversitetet Zerman, Emin Gond, Manu Takhtardeshir, Soheib Olsson, Roger Sjöström, Mårten