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Replication Data for: Induced periodicity in wakes
No full textThese are streamwise velocity time series measured in the wakes of a non-shedding porous disc, referred to as M, next to different solid discs that do exhibit vortex shedding.
Data was obtained by means of hot-wire anemometry in the Large Scale Wind Tunnel at the Norwegian University of Science and Technology in near-laminar inflow (background turbulence intensity of approximately 0.3%) at an inflow velocity of 10m/s (diameter-based Reynolds number 125000 for a diameter D = 0.2m).
Three sets of experiments were run and are included in this data set:
1. Span-wise measurements at 8D downstream of the different solid disc and the M disc (singe disc setting) are provided. Measurements downstream of the single non-shedding M disc are included here for convenience, but they also have been published here:
Hearst, R. Jason; Berstad, Fanny Olivia Johannessen; Neunaber, Ingrid, 2025, "Replication Data for: Wake merging and turbulence transition downstream of side-by-side porous discs", https://doi.org/10.18710/XAEWC5, DataverseNO, V1
2. The M disc was placed next to solid discs of three different diameters, D = 0.20m, D_17 = 0.17m and D_10 = 0.10m, referred to as S200, S170 and S100, respectively, that exhibit vortex shedding at different shedding frequencies. The spacing was 2D center-to-center.
Span-wise profiles were measured at 8D downstream for each case.
3. The M disc was placed next to a solid disc of the same diameter, D = 0.2m, referred to as S200, that exhibits vortex shedding. One spacing, namely 2D center-to-center, was investigated.
A streamwise profile between the discs was obtained. This measurement was carried out with multiple single wires, and we include the data of the wire at the inner corner of the M disc, and the wire at the inner corner of the S200 disc, i.e., the cases used in this manuscript.
The scope of these experiments was to study how the ``dead" wake of a non-shedding disc interacts with a wake with a dominant frequency coming from a shedding disc.
The data presented here are single wire hot-wire data obtained in the recirculating wind tunnel at the Norwegian University of Science and Technology. The hot-wires, 55P01 gold-plated wires with a sensing element length of 1.25 mm, were operated using a Dantec Dynamics StreamLine Pro Constant Temperature Anemometer. The sampling frequency was 75047 Hz, and a 30000 Hz hardware low pass filter was employed. The acquisition time was 180 s.
An automated traverse system was used to move the hot-wires through the wind tunnel.
Three disc types were used, a mesh disc (diameter D = 0.2 m), referred to as type M, with uniform blockage; and three solid discs with different diameters, D = 0.20m, D_17 = 0.17m and D_10 = 0.10m, and thus different shedding frequencies, referred to as S200, S170 and S100
IMU dataset of lower limb prosthetic users traversing real-world terrain with and without a walking aid
No full textThis dataset contains inertial measurement unit (IMU) data from twenty lower limb prosthetic users (11 transtibial, 8 transfemoral and one bilateral transtibial right leg transfemoral left leg) traversing real-world terrain (flat ground, stairs, slopes, grass, uneven terrain, unstable terrain) with and without a walking aid. Data from four body worn IMUs (prosthetic shank, prosthetic thigh, trunk, other shank) was collected for this dataset.
The data was recorded at 100Hz and the data in the dataset has not been filtered. Datafiles have been synchronised and trimmed to only include valid steps. Individual strides have been identified in the datafiles and the terrain label for each stride as well as identifying turn steps are also included. Strides were identified using peaks of the rate of turn along the medio-lateral direction of the prosthetic shank
Background data for: Effects of freestream turbulence on the wakes of circular and square cylinders
No full textThis data set contains the planar instantaneous velocity fields from particle image velocimetry measurements, as well as additional CTA measurements, for the experiments described in the article titled "Effects of freestream turbulence on the wakes of circular and square cylinders" (doi:https://doi.org/10.1103/scln-td8t).
The experiments were conducted in a wind tunnel at the Norwegian University of Science and Technology. The setup includes an active grid to control freestream conditions. To analyze the evolution of the flow, the wake behind the cylinders were captured up to 20 cylinder diameters downstream using two laser sheets and four cameras. Three grid sequences, with an additional reference case where the grid is removed, are used to generate four inflow conditions, where the freestream turbulence intensities varied between 1.1% to 13.8%. Extreme care was taken to align the dual laser sheets, and careful preprocessing was implemented to ensure high accuracy and minimal uncertainties.
This work was funded by the the European Union (See metadata section Funding Information). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.
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Questionnaire dataset on the use of place analysis in Norwegian municipal planning
No full textQuestionnaire responses (N = 45 respondents) from the survey "Place analysis in municipal planning" (original title: "Stedsanalyser i kommunal planlegging") conducted in Troendelag and Innlandet county, Norway, from the 6th of August to the 6th of September 2024. The questionnaire and responses are in Norwegian only, and is stored as a comma-separated text file (.csv). The survey covers the usage of place analysis as a method in Norwegian municipal planning, which place analysis methods that were used or known about, the relationship between the analysis and other formal planning processes, capacities and competences in the municipality, how the place analysis was acquired, etc
Replication Data for: The relation between auditory cognitive control and vagally-mediated heart rate variability in and outside the lab: Differential effects of circadian rhythm?
No full text
This dataset consists of vagally mediated heart rate variability (HRV; Root Mean Square of Successive Differences) and auditory cognitive control using the Bergen Dichotic Listening (BDL) task, including the forced-left (FL) and forced-right (FR) conditions of the BDL. Resting HRV was recorded, followed by ambulatory HRV monitoring at different times across the day to evaluate the impact of circadian rhythms. The dataset provides a basis to analyze the potential of HRV as a biomarker in different cognitive conditions and during varying times of day. The data encompass 64 healthy participants (35 women) who undertook BDL tasks in a laboratory environment.
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Overview and Description of Variables
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ID: The identification numbers are randomly generated (not original)
BMI: Body Mass Index
Age
Sex/Gender: 1 = Women, 2 = Men
FR_RE_1: Accuracy score from the Forced Right (Forced Right Right Ear) dichotic listening in laboratory (Forced-Right condition (DL))
FL_LE_1: Accuracy score from the Forced Left (Forced Left Left Ear) dichotic listening in laboratory (Forced-Left condition (DL))
FR_RE_2: Forced-Right condition (DL) Afternoon
FL_LE_2: Forced-Left condition (DL) Afternoon
FR_RE_3: Forced-Right condition (DL) Night
FL_LE_3: Forced-Left condition (DL) Night
FR_RE_4: Forced-Right condition (DL) Morning
FL_LE_4: Forced-Left condition (DL) Morning
ECG_HR: mean Heart Rate from ECG in laboratory
ECG_RR: mean R to R duration in ms.
ECG_RMSSD: Root Mean Square of Successive Differences from ECG in laboratory
T2meanHR: Heart Rate; Afternoon
T2RR: mean R to R duration in ms; Afternoon
T2RMSSD: Root Mean Square of Successive Differences; Afternoon
T3meanHR: Heart Rate; Night
T3RR: mean R to R duration in ms; Night
T3RMSSD: Root Mean Square of Successive Differences; Night
T4meanHR: Heart Rate; Afternoon
T4RR: mean R to R duration in ms; Afternoon
T4RMSSD: Root Mean Square of Successive Differences; Afternoon
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Growing Stock Volume (Vol) map for 2024
No full textThis dataset provides a high-resolution (10 m) pan-European map of forest Growing Stock Volume (Vol) for the year 2024, along with an accompanying standard deviation layer. It is part of the PathFinder collection of forest structure maps, which integrates Sentinel-2 satellite imagery, auxiliary geospatial layers, and National Forest Inventory (NFI) data to deliver detailed forest attribute predictions across Europe. The map supports applications in forest management, biomass estimation, carbon accounting, and ecological modeling. For methodology and data integration details, see the documentation dataset of the PathFinder collection (https://doi.org/10.18710/OEYKEG) and the following publication: Miettinen, J., Breidenbach, J. et al. (2025). PathFinder's High-Resolution Pan-European Forest Structure Maps: An Integration of Earth Observation and National Forest Inventory Data. Zenodo. https://doi.org/10.5281/zenodo.17107267
Pinus (P_Pin) map for 2020
No full textThis dataset provides a high-resolution (10 m) pan-European map of forest Pinus (P_Pin) for the year 2020, along with an accompanying standard deviation layer. It is part of the PathFinder collection of forest structure maps, which integrates Sentinel-2 satellite imagery, auxiliary geospatial layers, and National Forest Inventory (NFI) data to deliver detailed forest attribute predictions across Europe. The map supports applications in forest management, biomass estimation, carbon accounting, and ecological modeling. For methodology and data integration details, see the documentation dataset of the PathFinder collection (https://doi.org/10.18710/OEYKEG) and the following publication: Miettinen, J., Breidenbach, J. et al. (2025). PathFinder's High-Resolution Pan-European Forest Structure Maps: An Integration of Earth Observation and National Forest Inventory Data. Zenodo. https://doi.org/10.5281/zenodo.17107267
Experimental Data of Hydrogen Dispersion in an Open-ended Rectangular Channel
No full textDATASET MIGRATED FROM FIGSHARE: The dataset contains the experimental data from gas dispersion experiments in an open-ended rectangular channel. This includes the temporal mass flow rate, filling pressure, hydrogen concentration from 29 hydrogen sensors. Please see the following article for details about the experimental setup. M. Henriksen, H.E. Fossum, E. Åkervik, D. Bjerketvedt, A study of hydrogen dispersion in an open-ended rectangular channel, 2025, Journal of Loss Prevention in the Process Industries, https://doi.org/10.1016/j.jlp.2025.105669The dataset uses the research group's typical naming convention; however, this differs from the naming in the article. The list below correlates the typical naming convention with the names of each experiment in the article.23_FFI_P101_T00014 - test-01-023_FFI_P101_T00012 - test-02-0A23_FFI_P101_T00013 - test-02-0B23_FFI_P101_T00026 - test-03-023_FFI_P101_T00006 - test-04-023_FFI_P101_T00003 - test-05-0A23_FFI_P101_T00004 - test-05-0B23_FFI_P101_T00005 - test-05-0C23_FFI_P101_T00008 - test-06-0A23_FFI_P101_T00009 - test-06-0B23_FFI_P101_T00007 - test-07-023_FFI_P101_T00011 - test-08-023_FFI_P101_T00027 - test-02-1A23_FFI_P101_T00028 - test-02-1B23_FFI_P101_T00029 - test-05-1A23_FFI_P101_T00030 - test-05-1B23_FFI_P101_T00031 - test-08-123_FFI_P101_T00040 - test-02-2A23_FFI_P101_T00041 - test-02-2B23_FFI_P101_T00042 - test-05-223_FFI_P101_T00045 - test-02-323_FFI_P101_T00044 - test-05-3</p
Supplementary dataset: detailed classification, labelling, sector analysis, and results of 2,700 circular economy indicators
No full textDATASET MIGRATED FROM FIGSHARE: This contains detailed results of the following study:Beyond circularity: A systematic, thematic, and quantitative analysis of 2700 circular economy indicators</p
pattern_whorl5x4_15x16.txt
No full textDATASET MIGRATED FROM FIGSHARE: A novel imaging method for corneal nerve fibres by in vivo confocal microscopyAn explorative study was performed at the University of South-Eastern Norway (USN) by the research group “Eyes Anterior Segment and Eye health” (EASE) developing a novel imaging method for examination of corneal subbasal nerve plexus by in vivo confocal microscopy</p