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Replication Data for: Changing species dominance patterns of Boreal-Arctic heathlands: evidence of biotic homogenization
This dataset contain coverage of vascular plants in plots from a range of sites in northern Fennoscandia. Main findings are presented in the following abstract:
Heathlands are extensive systems often dominated by slow-growing and long-lived woody plants. These systems require longer-term studies to capture if and how they are changing over time. In 2020, we resurveyed species richness and cover of vascular plant communities in 139 heathlands along the coastline of northern Fennoscandia, first surveyed during 1965-1975. The first survey included six heathland types, each with dominance – a cover of 25% or more – of the dwarf shrubs Calluna vulgaris, Kalmia procumbens, Betula nana, Vaccinium myrtillus and Empetrum nigrum. The two latter heathland types made up 29% and 48% of all heathlands respectively. In addition to the dominant dwarf shrubs giving name to the heathland types, a few other species qualified as dominant. In the resurvey all the heathland types had Empetrum nigrum as the single dominant species except for the heathland formerly dominated by Betula nana. Most other species had low cover both at the time of the original survey and the resurvey. Also, the heathland types were species poor at the time of the original survey, with an average of eight vascular plant species per 4m2 and were found equally species poor in the resurvey. Species richness differed between heathland types only at the time of the original survey, and the ratio of species exchange between the two surveys was negatively related to the original cover of Empetrum nigrum.
Here we provide a half-century perspective on vegetation change, during which several heathland types in northern Fennoscandia have changed to Empetrum-heathlands, reducing the diversity of heathland types across the Boreal to Arctic landscape. As a native plant, Empetrum nigrum cannot be considered invasive, but its allelopathic capacity has likely already modified these heathland ecosystems and will continue to do so, reducing ecosystem multifunctionality across the region
NeRF-4Scenes: A Video Dataset for Subjective Assessment of NeRF
The dataset contains 36 NeRF-generated videos captured from four different indoor and outdoor environments: S1 for outdoor, S2 for auditorium, S3 for classroom, and S4 for lounge entrance. Each scene is trained using three NeRF models: Nerfacto as M1, Instant-NGP as M2, and Volinga as M3. Finally, each trained scene is
rendered on three customized trajectories referred to as P1, P2, and P3.
There are a total of 36 videos (4 scenes × 3 models × 3 paths) each having its own individual name. For example, video S1M1P1 corresponds to the outdoor scene (S1), which is trained on the Nerfacto model (M1), and rendered on the first camera path (P1)
Raw data for "Plastic food packaging from five countries contains endocrine and metabolism disrupting chemicals"
This dataset contains the raw data of the chemical analysis described in the associated publication (DOI: 10.1021/acs.est.3c08250), namely the mass spectral data of the plastic extracts analyzed using UPLC-QTOF-DDA. For experimental details on the nontarget analysis, see the Supporting Information of the publication. The data uploaded here are in the Waters .raw file format that can be accessed using Waters software (MassLynx, Progenesis etc.). Each zip file contains the individual mass spectral data of one sample. They are labelled with the sample name corresponding to the samples described in Table 1 of the publication. The sample names denote the polymer type of the plastic product. PB refers to the procedural blanks, MeOH refers to the methanol used as a solvent. These files can be easily converted into an mzML format using MSconvert in ProteoWizard (https://proteowizard.sourceforge.io/)
Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions
Complex plasma with a variety of continuous and discrete dust grain size distributions are simulated in 2D with molecular dynamics simulations with radial geometry to determine differences in self-organizing phenomena to more realistically represent the actual in situ variations in dust-size. The standard deviation of particle size σ(a) strongly correlates with phase separation and coupling parameter Γ for all distribution types. We observe local differences in bond order parameters and Voronoi diagrams for different size distributions, and our results suggest that phase transition is affected by continuous size distributions, particularly in the binary distribution case. Simulations with discrete size result in artifacts and discontinuities that are not found in the continuous distributions. The use of continuous distributions is observed to be beneficial both for more realistic approximation of complex plasma experiments and to study systems of strongly coupled particles in general.
The data is normalized and can be reverted back to SI-units where the SI-units are specified in the normalization.txt file, where
a = coefficient for length such that a * data_value = SI unit value
The data is created using the PPDyn code from https://github.com/sayanadhikari/PPDy
Replication Data for: Ecological implications of the pink salmon invasion in northern Norway - aggregative responses and terrestrial transfer by white-tailed eagles
The dataset is from an observational study conducted along Skallelv, a sub-arctic river system on the east coast of the Varanger Peninsula in Norway.
Data on white-tailed eagle (Haliaeetus albicilla) abundances and pink salmon abundances and demographic stages were collected in two consecutive seasons using respectively, line transect counts and drift counts along Skallelv from July 1st to September 5th in 2021 and 2022. The associated R script has been used to analyse the data to evaluate whether there was an association between the pink salmon and white-tailed eagle abundances and produce figures that present the data with respect to such patterns as published in the article: Bonde, BM & Stien A. 2024. Ecological implications of the pink salmon invasion in northern Norway - aggregative responses and terrestrial transfer by white-tailed eagles. Ecology and Evolution. https://doi.org/10.1002/ece3.7000
Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects
Early Contractor Involvement (ECI) has been highlighted as a key to solving poor performance in large construction projects. This study investigates the tasks in the pre-construction phase that are most likely to benefit from having ECI based on the motivation of the client organization. This study is limited to public infrastructure projects, the pre-construction phase, and the client’s perspective. Results from the study show that the client’s motivation moderates the suitability of tasks for ECI implementation. This indicates that one way to optimize ECI usage in the project is to select the pre-construction tasks based on the motivation of the client in order to have the desired effect. Furthermore, this study connects with results from earlier studies to reveal that the choice of tasks for ECI can vary based on whether the respondents are from top management versus the project team. In addition, the choice of activities can also be used to relate to the desired effects based on the motivation.
This dataset contains a compilation of survey responses used in the study, along with their subsequent analysis
GNSS scintillation and TEC data at Skibotn in 2014-2023
This is a collection of GNSS scintillation and TEC data at Skibotn (SKN) in 2014-2023. The GPS scintillation receiver is the standard GPS Ionospheric Scintillation/total electron content (TEC) Monitor (GISTM), model GSV4004. It was originally installed at Blindern campus and then moved to Skibotn in September, 2014. The dataset contains the standard minutely phase and amplitude scintillation indices as well as TEC. The TEC data are calibrated using the GPS-SCINDA software (Carrano et al., Radio Science, 2009). One example of the quick-look plot is shown in skn_quick-look_example.png. For the quick-look plots of other days, please go to http://tid.uio.no/plasma/gps_overview/GPS/show_plot.html. Each zip file contains daily observation files in csv format for the whole year. Note that this receiver was not continuously operated, with observation break during summer. The monthly data availability is shown in the figure skn_avail.png. Some usage suggestions can be found in the file 00_README.txt
Data for: Stimulus Selection Based on Gender Ratios: Gender Ratios are Indicative of Both Stereotypical and Conceptual Gender
This dataset included one exploratory experiment that used an attribute rating task to identify the level to which individuals felt differing attributes were appropriate for female-dominated, male-dominated, and gender-balanced roles. Data was gathered in late 2018 via an anonymous self-administered questionnaire. Each participant responded to all attributes paired with one female-dominated, one male-dominated, and one gender-balanced role. The roles were randomly selected per participant. The order of the roles was randomised per participant, and the order of the attributes was randomised by participant and role. This builds on an earlier attribute naming experiment; due to ethical reasons, the raw data from this first experiment are not included in this dataset. This dataset contains four files; an RStudio code that allows for the straightforward replication of the conducted analyses, a .txt file also containing this code, a .txt file containing the raw data, and a readme.txt file
Data material: Deweyan conceptualisation of habit
Collection of citations from the work of John Dewey relevant for the concept of habits. Used to generate a conceptual framework
Supporting Data for: Institutionalizing International Internships in Business Education; An Action Research Approach to Overcoming Barriers and Driving Systemic Change in Norwegian Business Schools
The dataset focuses on the institutionalization of international internships in higher education institutions in Norway, specifically examining key informants' perspectives on the development and implementation of these programs. The methodology employed consists of document review, ethnographic inquiry, and nine semi-structured interviews with purposively selected key informants from two institutions, including education program managers, deans or vice-deans, faculty directors, internationalization advisors, and department leaders. The interview guide explores five main areas: the interviewee's background and role, the institution's response to externally financed projects, decision-making processes, potential contingencies in implementing internship projects, and recommendations for improvement. The data analysis utilizes Gioia methodology for qualitative data analysis, combined with multiple case studies, providing insights into the underlying normative aspects of institutionalizing international internships in young Norwegian universities. The dataset consists of processed and anonymized data