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Drone-based mapping of crevassed glaciers in Svalbard
No full textThis database contains drone-based mapping data of seven crevassed glaciers in Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape (version 1.8.5) and the processed data consists of digital elevation models (DEMs) in georeferenced .TIF file format, orthomosaic maps in georeferenced .TIF, .JPG, and .PNG file format, and textured 3D models in .STL and .OBJ/.MTL/.JPG file format. In addition, a process report in archived .PDF file format is included for each dataset. Mapping was conducted with a DJI Mavic 2 Pro Enterprise and a DJI Phantom 4 Pro. The mapping area cover the crevassed glacier fronts. Data collection was conducted over several fieldwork seasons between 2019 and 2020. Spring fieldwork was conducted with snowscooters, summer and fall fieldwork with boat.
The following glaciers are mapped:
- Fridtjovbreen Spring 2020, 07/may/2020
- Koenigsbergbreen Spring 2020, 04/May/2020
- Nordenskiöldbreen Fall 2019, 19th-22nd/Aug/2019
- Nordenskiöldbreen Summer 2020, 21/Jul/2020
- Tunebreen Spring 2020, 28/Apr/2020
- Tunabreen Summer 2020, 06/Aug/2020
- Wahlenbergbreen Summer 2020, 05/Aug/202
3-digit occupation code images from the Norwegian census of 1950 - Manual review dataset
No full textThis dataset is made up of images containing handwritten 3-digit occupation codes from the Norwegian population census of 1950. The occupation codes were added to the census sheets by Statistics Norway after the census was concluded for the purpose of creating aggregated occupational statistics for the entire population.
The coding standard used in the 1950 census is, according to Statistics Norway’s official publications (https://www.ssb.no/historisk-statistikk/folketellinger/folketellingen-1950, booklet 4, page 81), very similar to the standards used in the census for 1920. Cf. the 13th booklet published for the 1920 census (https://www.ssb.no/historisk-statistikk/folketellinger/folketellingen-1920, note that this booklet is only available in Norwegian).
In short, an occupation code is a 3-digit number that corresponds to a given occupation or type of occupation. According to the official list of occupation codes provided by Statistics Norway there are 339 unique codes. These are not all necessarily sequential or hierarchical in general, but some subgroupings are. This list can be found under Files.
It is also worth noting that these images were extracted from the original census sheet images algorithmically. This process was not flawless and lead to additional images being extracted, these can contain written occupation titles or be left entirely blank.
The dataset consists of 90,000 unique images, and 9,000 images that were randomly selected and copied from the unique images. These were all used for a research project (link to preprint article: https://doi.org/10.48550/arXiv.2306.16126) where we (author list can be found in preprint) tried to find a more efficient way of reviewing and correcting classification results from a Machine Learning model, where the results did not pass a pre-set confidence threshold.
This was a follow-up to our previous article where we describe the initial project and creating of our model in more detail, if it is of interest (“Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes”, https://doi.org/10.51964/hlcs11331).</p
Demonstrating the dynamic wing technology at real sea conditions using 10-12m long, self-propelled ship model
No full textThe Seatech project is devoted to the demonstration of the dynamic using large scale models tested wing at sea and the engine technology testing in relevant environment. The project tasks include the design of full-size wing, the system Life-cycle cost analysis (LCCA) and using the advanced data analytics for the evaluation of retrofitability and maintainability of both innovations at full scale. The present dataset is derived from results from concerning the demonstration of the dynamic wing technology in wave conditions at real sea conditions using large-scale self-propelled ship models of 10-12m length. The tested model is equipped with an autonomous propulsion system and was deployed in coastal area near Athens, Greece. The model is manned. Standard hydrodynamic tests have been performed, including measurements of resistance and propulsion, in waves seakeeping and maneuvering tests. For the seakeeping and propulsion in waves the sea conditions are monitored using portable directional wave buoy. The model track has been monitored via a real-time kinematics system, while the dynamic responses of the model were measured via an 6dof system, consisting of multiple accelerometers. The overall performance in waves with the dynamic wing is recorded and the energy gains are evaluated. Also, the dynamic stabilization of the ship and the reduction of added wave resistance is estimated based on measured data. The results are used to update the technical data and enhance the models developed to feed the advanced data analytics framework (ADAF) for full scale powering, consumption and emissions predictions and LCCA
GNSS Total Electron Content Data (60 s) at Ny-Ålesund in 2022
No full textThis data set contains Total Electron Content data at 60 seconds time resolution at Ny-Ålesund, Svalbard.
The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.
A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, "Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard", DataverseNO, https://doi.org/10.18710/EA5BYX
This data set is part of a larger collection: Oksavik, Kjellmar, 2020. "The University of Bergen Global Navigation Satellite System Data Collection". DataverseNO. https://doi.org/10.18710/AJ4S-X394.
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Supplementary data: Detailed description of blade production methods from the Final Palaeolithic to the Middle Mesolithic (10 900-7000 cal. BCE) in Scandinavia and Northwest Germany based on a compilation and technological analysis of 52 excavated sites.
No full textSupplementary data: Descriptive statistics of essential core and blade attributes from the studied assemblages (52 excavated archaeological sites) dated to the Final Palaeolithic, the Early and the Middle Mesolithic (10 900-7000 BCE)
Replication Data for Winter is coming: interactions of multiple stressors in winter and implications for the natural world
No full textWe summarised 167 mesocosm and field studies across freshwater, marine and terrestrial ecosystems in the last three decades (1985-2018)
GNSS Scintillation Data (60 s) at Ny-Ålesund in 2022
No full textThis data set contains phase and amplitude scintillation data at 60 seconds time resolution at Ny-Ålesund, Svalbard.
The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.
A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, "Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard", DataverseNO, https://doi.org/10.18710/EA5BYX
This data set is part of a larger collection: Oksavik, Kjellmar, 2020. "The University of Bergen Global Navigation Satellite System Data Collection". DataverseNO. https://doi.org/10.18710/AJ4S-X394.
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Replication data for: The interplay between hunting rate, hunting selectivity, and reproductive strategies shapes population dynamics of a large carnivore
No full textDATASET MIGRATED FROM FIGSHARE: Data sets used for yearling survival by Van de Walle et al. 2021. The interplay between hunting rate, selectivity, and reproductive strategies shapes population dynamics of a large carnivore. Evolutionary Applications. For reasonable requests, please contact the authors for further information on the data set.Article Abstract - Related PublicationHarvest, through its intensity and regulation, often results in selection on female reproductive traits. Changes in female traits can have demographic consequences, as they are fundamental in shaping population dynamics. It is thus imperative to understand and quantify the demographic consequences of changes in female reproductive traits to better understand and anticipate population trajectories under different harvest intensities and regulations. Here, using a dynamic, frequency-dependent, population model of the intensively hunted brown bear (Ursus arctos) population in Sweden, we quantify and compare population responses to changes in four reproductive traits susceptible to harvest-induced selection: litter size, weaning age, age at first reproduction, and annual probability to reproduce. We did so for different hunting quotas and under four possible hunting regulations: (i) no individuals are protected, (ii) mothers but not dependent offspring are protected, (iii) mothers and dependent offspring of the year (cubs) are protected, and (iv) entire family groups are protected (i.e., mothers and dependent offspring of any age). We found that population growth rate declines sharply with increasing hunting quotas. Increases in litter size and the probability to reproduce have the greatest potential to affect population growth rate. Population growth rate increases the most when mothers are protected. Adding protection on offspring (of any age), however, reduces the availability of bears for hunting, which feeds back to increase hunting pressure on the nonprotected categories of individuals, leading to reduced population growth. Finally, we found that changes in reproductive traits can dampen population declines at very high hunting quotas, but only when protecting mothers. Our results illustrate that changes in female reproductive traits may have context-dependent consequences for demography. Thus, to predict population consequences of harvest-induced selection in wild populations, it is critical to integrate both hunting intensity and regulation, especially if hunting selectivity targets female reproductive strategies.</p
Search strategies for a review article on work engagement in professional nursing in long-term care settings
No full textDATASET MIGRATED FROM FIGSHARE: Search strategies for a review article on work engagement in professional nursing in long-term care facilities are described. Contains strategies for the databases PsycInfo, Academic Search Premier, Cinahl, Medline and Scopus. See the readme.txt for further documentation. </p
Magnetotelluric Data for Electrical Resistivity Imaging of the Northeast Carpathian Volcanic Arc with 3-D Magnetotellurics
No full textThe dataset comprises all Magnetotelluric data and derived products. This includes, measured time series in ascii format, final processed MT transfer functions in EDI format, and the final 3D resistivity model from transfer function data inversion with ModEM.The Carpathian Mountains have long been exploited for their metal ore deposits, which have been associated with the subduction of tectonic plates. Studying the natural variations of the regional electric and magnetic fields, we estimate the distribution of subsurface electrical resistivity. Subsurface electric structures are interpreted as deep magma systems and large plutonic bodies. The interpretation implies that regional volcanic activity has been controlled by faults, large fractures in geologic formations, and detached strata. Specifically, historic mining can be attributed to a large conductive body that can be mapped from surface to about 30km. Data suggest that this body, which could be a shallow magma chamber, connects to a deep, southeastern mantle source region