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Combined Dataset for Subjective Panel Rating, International Roughness Index and Images for Road Damage Detection of Low Volume Road in Norway
No full textThe pavement condition monitoring data consists of images for a 17.2 km road section of FV216 in Innlandet County, Norway from a front view camera captured at every 20m interval.
The surveyed road section has varied road surface condition due to different resurfacing date; which varies from 2009 to 2020. Selected road stretch was divided into 36 sections of around 500m length for panel rating survey. Presented dataset also includes panel ratings and International Roughness Index (IRI) ratings for all 36 sections
Replication Data for: Dispersion of inertial finite-size particles in turbulent open-channel flow
No full textThis dataset contains the data files required to reproduce the results of the journal article Benonisen, et al. (2025). Dispersion of inertial finite-size particles in turbulent open-channel flow. J. Fluid Mech., 1023, A32. https://doi.org/10.1017/jfm.2025.10851. It contains particle settling location data, particle trajectories in quiescent flow, and mean velocity profiles obtained from particle image velocimetry (PIV).Abstract of the journal article Benonisen, et al. (2025).
Plastic pollution in our aquatic systems is a pressing issue, and the spread of these particles is determined by several factors. In this study, the advection and dispersion of negatively buoyant finite-size particles of four different shapes (spheres, circular cylinders, square cylinders, and flat cuboids) and two sizes (6 and 9 mm) are investigated in turbulent open-channel flow. The volume, mass, and characteristic length are fixed for each size. Four different turbulent conditions are considered, varying the freestream velocity (0.25 and 0.38 m/s) and turbulence intensity (4 and 9 %). The particles are released individually from below the water surface. A catch grid is placed along the bottom floor to mark the particle landing location. The average particle advection distance remains unchanged between the turbulence levels, suggesting that the mean settling velocity is independent of turbulence in this regime. Based on the root mean square of the landing locations, the particle dispersion varies with particle shape, size, settling velocity, and turbulent flow conditions. For the square cylinders investigated in this work, the effect of particle shape on dispersion is difficult to predict at low flow velocities and turbulence intensities. As the turbulent fluctuations increase, the dispersion becomes more predictable for all shapes. An empirical expression is proposed to relate turbulent velocity fluctuations, integral length scales, particle settling velocity, and particle size to streamwise dispersion. It is found that finite-size inertial particles do not disperse per simple turbulent diffusion, meaning that particle geometry has to be incorporated into dispersion models
Replication Data for: Learning to use GenAI in higher education: knowledge, experiences, and needs among staff following a GenAI professional development course
No full textPre-post data from survey - staff in higher education who went through a GenAI course. Includes TPACK constructs, age groups, affiliation, age, teaching or not
Replication Data for: Note to first-year university students: Just do it! In the end, the fact that you study may be more important than how you study
No full textThe data are from a longitudinal study, investigating predictors for dropout from higher education. Self-reported data were collected in autumn 2013 on first year students at UiT. This includes procrastination, learning approaches, stress, learning problems, questions about previous education and demographics. GPA and ECTS was retrieved from university registers.Abstract: Education is important to society, yet many students do not complete the educations they start. In the present study of 426 students at a Norwegian university, we examined the predictive value of study-related variables with regard to student status one and five years after initial enrollment (stayers versus dropouts). The logistic regression analyses indicated that older students and students who spent less time studying were more likely to drop out after the first year. Students who completed less ECTS during the first year were more likely to drop out after five years. Contrary to our hypothesis, learning approaches and procrastination were not significant predictors for dropout. Overall, just studying and staying (on) the course mattered more for student success in the first year than self-reported measures on how the academic work was actually done. A caveat relates to the low response rate of the study (∼9%), which is addressed in the discussion.</p
Fagus (P_Fag) map for 2020
No full textThis dataset provides a high-resolution (10 m) pan-European map of forest Fagus (P_Fag) 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
Reproduction data for specialist and generalist raptors breeding/occuring in Norway
No full textThis dataset contains reproduction data for 30 raptors occurring in Norway. Additionally, reproduction data for the long-tailed skua, great skua and 3 common corvid species breeding in Norway are included. Data includes clutch size means, standard deviation of the clutch, fledglings per clutch, proportion fledged per clutch, clutch size range, breeding habitat and latitude.
All species are categorized as either a generalist, specialist or corvid. Literature was used to categorize the species and are linked to in the dataset.
The data was collected from literature and combined into a dataset. All species have reproduction data, and the individual references are linked to the dataset. The mean clutch size, standard deviation and number of fledglings were collected from different references while the clutch size range was mainly collected from the website Birds of the World.
The literature used in this study was selected based on three criteria:
1) The mean clutch size, number of fledglings and proportion fledged per clutch were measured during several years (minimum 2 years).
2) The data had many observations, and if several references for one species were available, the reference with the most observations was chosen.
3) If criteria 2 and 3 were achieved, data from studies conducted in the arctic tundra or boreal forest in Fennoscandia was preferred.
Google Scholar was used to find the references with the following search words: species name, clutch size, reproduction, arctic tundra, boreal fores
Quercus (P_Que) map for 2020
No full textThis dataset provides a high-resolution (10 m) pan-European map of forest Quercus (P_Que) 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
Documentation for the PathFinder pan-European Collection
No full textThis dataset provides documentation for the PathFinder pan-European Collection, which contains 10 m spatial resolution European-wide forest maps for 18 forest attributes for the year 2020 and for three attributes for 2024, as well as cloud free 2024 Sentinel-2 composite images. The maps integrate 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: 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
Supplementary material for manual analysis of 500 circular economy definitions
No full textDATASET MIGRATED FROM FIGSHARE: This document serves as supplementary material for the paper titled "R10 Strategies and Beyond An in-depth Analysis of 500 circular economy definitions". The present supplementary material includes a narrative review and listing of 500 circular economy definitions and manual content analysis based on a hybrid inductive and deductive (abductive) approach.</p
Questionnaire about learning, lifelong learning and learning activities
No full textDATASET MIGRATED FROM FIGSHARE: A cross-sectional study was performed to examine how the students in a master's program in accounting/auditing perceive their own learning and their capacity for lifelong learning, taking into consideration various learning activities. Our findings suggest that, from the students' perspective, the most important learning activities are lectures and participation in colloquium groups. Students do not experience reading course literature as a particularly important learning activity.</p