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Search strategies for "The experiences of multilingual nursing students: A scoping review"
DATASET MIGRATED FROM FIGSHARE: This dataset consists of the search documentation for a scoping review article on the experiences of multilingual nursing students. Contains strategies for the databases CINAHL, Medline, ERIC, PsycInfo, Scopus and Web of Science. See the readme.txt for further documentation.</p
Supplementary Materials-Life Cycle Assessment of Offshore Wind Farms – A Comparative Study of Floating Vs. Fixed Offshore Wind Turbines-Master Thesis-Omid Lotfizadeh
DATASET MIGRATED FROM FIGSHARE: In this thesis, a detailed assessment of the environmental implications associated with two different types of offshore wind farm technologies was conducted. For the first time, a comparative life cycle assessment (LCA) was carried out on two real-world case studies with two different technologies: floating (Hywind Tampen) and bottom-fixed (Dogger Bank).There are 3 Excel files (and several CSV files) in the dataset including:1- Inventory: these files contain inventory data of both bottom fixed and floating wind farms (Dogger Bank and Hywind Tampen).2- General calculations: this file contains calculations for installation and operation and maintenance calculation for both Dogger Bank and Hywind Tampen wind farms.3- Electricity to the grid calculations: this file contains the calculation of electricity generated by both Dogger Bank and Hywind Tampen wind farms for all scenarios, each sheet is named based on the corresponding scenario.</p
Supplementary material for the manuscript "Exploring Variations in Subjective Well-being Among Norwegian Retirees: A Growth Mixture Modelling Approach"
DATASET MIGRATED FROM FIGSHARE: This collects all the R-scripts used for data preparation, anlysis and table creation for the following manuscript accepted for publication in Scandinavian Journal of Public Health: Exploring Variations in Subjective Well-being Among Norwegian Retirees: A Growth Mixture Modelling ApproachThe article uses data from the Norwegian Life-course, Ageing and Generation (NorLAG) study (24, doi: 10.18712/norlag_v3). NorLAG is a population-based sample of adults born between 1922 and 1966 in Norway, that is representative of the age and gender distribution of the Norwegian population (25). NorLAG data is available to researchers in approved research institutions AT the Norwegian Research Counsil or Eurostat.ReferencesSSB, Velferdsinstituttet NOVA. Den norske studien av livsløp, aldring og generasjon - NorLAG 2002-2017. 2022.25. Veenstra M, Herlofson K, Aartsen M, Hansen T, Hellevik T, Henriksen G, et al. Cohort Profile: The Norwegian life course, ageing and generation study (NorLAG). Int J Epidemiol. 2021;(dyaa280).</p
A comprehensive inventory of 300 commercial value-added products from syngas, their classifications, and assigned value levels
DATASET MIGRATED FROM FIGSHARE: This inventory contains a comprehensive list of 308 commercial value-added products from syngas through three main processes (methanation, ammonia synthesis, and Fischer-Tropsch). </p
Replication Data for: Connecting the dots: Relationship between heart rate and Overall Dynamic Body Acceleration (ODBA) in free-ranging cattle
This dataset contains all the raw data sets, processing code, and analysis for reproducing and replicating the analysis for the article: Connecting the dots: Relationship between heart rate and Overall Dynamic Body Acceleration (ODBA) in free-ranging cattle.
In total, there are 4 files included: the raw dataset, the averaged dataset, and the R script used for the analysis. The raw data contains heart rate and accelerometry data collected from free-ranging cattle during the summer grazing season. The averaged dataset includes processed data summarizing heart rate and ODBA across 1 minute. The R script ('Analysis.R') performs all the steps of preprocessing, and analysis, producing the results as discussed in the article. Abstract:
Monitoring physiological indicators including heart rate (HR) is crucial for managing animal welfare across diverse settings, from precision livestock farming to wildlife conservation. HR is a reliable indicator of energy expenditure and stress, yet the invasive nature of HR loggers limits their application in wild and free-ranging species. This study explores whether overall dynamic body acceleration (ODBA), measured with an external accelerometer, can serve as a less invasive proxy for HR. Using free-ranging cattle as a model species in Norway, we examined the relationship between ODBA and HR to assess how external accelerometry might indirectly reflect physiological states in settings that resemble wild conditions. Cattle provide an ideal model because they share some characteristics with wild herbivores, including exposure to diverse terrain and potential predation, while offering advantages for handling and sensor retrieval.
Our findings showed that low ODBA values corresponded to static behaviours (e.g., standing, ruminating), where small movements caused HR spikes, while higher ODBA reflected dynamic activities (e.g., walking, foraging), with HR plateauing. This relationship suggests that ODBA can be used to approximate HR in environments where direct HR measurement is challenging. By using accelerometry to infer HR changes in free-ranging cattle, this study offers insights that could extend to wild species, offering a tool for conservationists to monitor and manage animal health and wellbeing less invasively. </p
Replication Data for: Successful restoration of alpine plant communities depends on habitat type
The dataset contains data on abiotic variables, plant community cover and plant community composition from a restored road site in the Knutshø landscape protected area in Norway. Data was collected from three habitat types in 2016, 2018, and 2021.
Abstract:
Alpine ecosystems are under increasing pressure from land-use change and road construction, resulting in habitat fragmentation and declines in biodiversity and ecosystem function. Ecosystem restoration can mitigate the impacts from human land-use change by assisting the recovery of natural ecosystems. We developed an assessment framework using established international standards and monitored alpine vegetation recovery within restored zones along a hydropower-dam road built in 2013 in the Knutshø landscape protected area, Norway. Using data collected in 2016, 2018 and 2021, we compared abiotic variables and vegetation indicators (cover, and community composition) in restored zones against directly adjacent intact zones within three different habitat types. After eight years, wetland habitat had similar cover of plant functional types and abiotic variables within restored and intact zones, while ridge and willow-heath habitats had more cover of graminoids and less cover of shrubs in restored compared to intact zones. In addition, community composition in restored wetland habitat zones was similar to intact zones, while the community composition of restored zones in ridge and willow-heath habitats was significantly different from adjacent intact zones. This suggests that restored wetland habitat in our study system is on a trajectory of recovery, but that recovery of other plant community types may require longer periods of time or, in some cases, may not be possible without further intervention because of alternative stable states. Our results underscore the need for long-term monitoring and adaptive management to insure restoration success in alpine environments
Drifter trajectories in the Fram Strait and Barents Sea
A data set of undrogued drifter trajectories deployed on open ocean in the Fram Strait and Barents Sea in the time period from April 2022 until March 2023.
A total of 15 drifters were deployed in the Fram Strait - West Spitsbergen region in Spring 2022, as part of the CIRFA-22 cruise. This cruise was conducted by the Centre for Integrated Remote Sensing and Forecasting for Arctic Operations (CIRFA).
Other 6 drifters were deployed in the Barents Sea (Hopendjupet and Bjørnøya) in Summer 2022 as part of the CAGE22-6 cruise. The cruise was conducted by the Centre for Arctic Gas Hydrate, Environment and Climate (CAGE)
Background Data for: UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil
This dataset contains geometries, simulations results, and experimental results used in the paper "UAV Icing: Aerodynamic Degradation Caused by Intercycle and Runback Ice Shapes on an RG-15 Airfoil".
The aim of the paper is to quantify the aerodynamic influence of intercycle and runback ice using wind tunnel tests and numerical simulations.
This dataset contains the clean wing geometry and the geometries of both intercycle ice shapes, the lift and drag coefficients as simulated numerically, and the force measurements from the wind tunnel tests
Replicate Data for Nitrous Oxide and Carbon Dioxide Emission, Oxygen and Methane Consumption from Roots or Aboveground Residues of Grass or Red Clover incorporated in the Soil
These data were collected during a laboratory incubation in order to study the specific contribution of roots and other below ground plant residues to N2O emissions after ploughing of temporary grassland (see article "Low N2O emissions induced by root-derived residues compared to aboveground residues of red clover or grass mixed into soil" in related publications).
This incubation study is a supplement to the field study presented in the research article "Roots and other residues from leys with or without red clover: quality and effects on N2O Emission Factor after ploughing" and the dataset "Replicate data on Biomass and quality of ley roots and other plant residues - and associated N2O, CO2 and CH4 emissions and soil air composition after ploughing (see related publications) and a previous dataset (see related datasets).
The dataset contains replicate data of nitrous oxide and carbon dioxide emissions from below ground (roots +crown) (BGR) and above ground (stubble or herbage) (AGR) plant residues of red clover and of a mixture of forage grasses mixed in the soil. Also replicate data of N2O-N and CO2-N emissions factors (EF: Additional N2O-N caused by a residue divided by the amount of N in the residue) over the incubation period are provided for below ground and above ground residues separately. Oxygen and methane consumption data are also provided, along with soil mineral N.
The specific purpose of this experiment was to isolate the effect of BGR from that of AGR, in particularly from the effect of stubble left below cutting height (typically around 5 cm) after harvest.
The data are well suited for further use, as for example refinement of models of plant litter decomposition and N cycling in the soil, including modelling of N2O emissions from plant residues and movement of mineral N in the soil.</p
Lexical semantics trumps syntax during noun composition in predication and modification contexts: Insights from the N400 and alpha and beta band synchronization
Compositionality is the thesis that the meanings of complex expressions are derived from the meanings of their constituent parts and syntactic structure. Questions arise on the relative impact of lexical semantics vs syntax on composition and whether a single vs multiple composition operations are applied. Here, we use a new experimental paradigm to study how syntactic mode of composition (predication vs modification) and lexical semantic properties of the words combined (different adjective classes) influence EEG signals. We compared nouns in sentences composing with a verb (predication) or an adjective (modification) against conditions in which the same noun and adjective, or verb, were separated by a syntactic boundary, preventing composition locally. ERPs and oscillatory responses were modulated primarily by the lexical semantic properties of the words combined, and not by the syntactic mode of composition. N400 amplitudes were larger for nouns after verbs and privative adjectives (e.g., ‘fake’), relative to intersective or subsective adjectives. Alpha and beta band responses were also more prominent after verbs, followed by privative adjectives, subsective adjectives, and intersective adjectives. Our results challenge the neurobiological relevance of linguistic theories that distinguish instances of composition according to syntactic mode of combination, while abstracting away from the specific semantic contributions of the content words involved