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Data for: From setr to sætr.
No full textThe dataset contains to spreadsheets with radiocarbon dates and metadata and a protocol for R to run Summed Probabibilty Density analyses. The dataset is sent as supplementary material to Landscape History (journal), where the related article is accepted for publishing. The dataset is collected from numerous survey and excavation reports across the country, provided by museums and county officers. These are not all published, but the data is public and lab-numbers and short references to reports (grey literature) are provided within the sheets
Data for LIQUID-H
No full textThis dataset contains experimental raw data for the publications:
- Vilde G. S. Lunde, Benedicte S. Ofstad, Øystein S. Fjellvåg, Philippe Ohresser, Anja O. Sjåstad, Bjørn C. Hauback, and Christoph Frommen. Electronic and magnetic properties of light rare-earth cubic Laves compounds derived from x-ray magnetic circular dichroism experiments. Physical Review B 112, 224413 (2025).
The dataset contains raw data from the Deimos instrument (https://synchrotron-soleil.fr/en/beamlines/deimos) at the Soleil synchrotron, France. The instrument is dedicated to the study of magnetic and electronic properties using polarized light (XMCD). Additionally, the dataset contains raw data produced using density-functional theory and multiplet theory calculations, as well as X-ray diffraction data measured using an in-house Bruker D2 diffractometer.
- Vilde G. S. Lunde, Øystein S. Fjellvåg, Allan M. Döring, Marc Straßheim, Vladimir Pomjakushin, Konstantin P. Skokov, Oliver Gutfleisch, Tino Gottschall, Joachim Wosnitza, Anja O. Sjåstad, Bjørn C. Hauback, and Christoph Frommen.
Influence of Ni substitution on the phase transitions and magnetocaloric effect of NdCo2. Submitted for review. (2025)
The dataset contains raw data from the high-resolution powder diffractometer for thermal neutrons at the Swiss Spallation Neutron Source at the Paul Scherrer Institute, Villigen, Switzerland. Additionally, the dataset contains raw X-ray diffraction data collected at BM01 at the Swiss-Norwegian Beamlines of the European Synchrotron Radiation Facility in Grenoble, France. Additionally, bulk magnetization data and pulsed-field measurement data are included
Supporting Data for: Assessing Ocean Surface Radial Current Uncertainties Derived from SAR via Atmospheric Ensemble Modeling
No full textThis folder contains ocean radial velocity data set for 251 scenes acquired with Sentinel-1A over Skagerrak, Kattegat, and the North Sea between January and July 2023 (skagerrak_ensemble_pt3.zip). Associated collocated wind and wave fields and auxiliary information are also available in the data dictionaries. The user can find examples in the open_plot.ipynb file
Diet data for haddock (Melanogrammus aeglefinus) from two capelin spawning areas in Finnmark County, Norway, during 2005 and 2006
No full textDiet data for haddock (Melanogrammus aeglefinus) were collected from two capelin (Mallotus villosus) spawning areas in Finnmark, Norway, during 2005–2006. Haddock were sampled using bottom trawl, and stomach content analysis was performed to estimate the proportions (wet weight) of various prey groups. The data were obtained and analyzed as part of a PhD project investigating predation on capelin eggs and capelin. These data are presented in the PhD thesis: Mikkelsen, N. (2013). Predation on the demersal fish eggs of capelin Mallotus villosus and lumpsucker Cyclopterus lumpus in relation to recruitment. PhD thesis, Department of Arctic and Marine Biology, Faculty of Biosciences, Fisheries and Economics, University of Tromsoe. UiT The Arctic University of Norway (former University of Tromsoe) funded a Phd-scholarship for the first author (N. Mikkelsen
setesdalBgc: Biogeochemical data collected on plants and soil in the Setesdal Grazing experiment
No full textThe dataset contains plant and soil empirical data collected in Norway in 2023. The samples were collected within a grazing area in the Setesdal Vesthei. The samples are separated into three groups representing those inside experimental herbivory exclosures, outside herbivory exclosures and on a set of islands in the region. Plant abundances were assessed using the point-intercept method. Samples of plant biomass and soil samples were dried, weighed, ground or sieved, and measured for their chemical composition. There are five data files containing the plant cover data, the mass of the plant samples, the chemical composition of plant leaves and biomass, and the soil parameters. The metadata for each dataset is stored as a csv file denoting the hierarchical sampling structure (site, grazing status, plot and species where relevant) and the units for each measurement within each broad category of plant cover, plant biomass, plant leaves and soil samples
Growing Stock Volume (Vol) map for 2020
No full textThis dataset provides a high-resolution (10 m) pan-European map of forest Growing Stock Volume (Vol) 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
Replication Data for: Temperature conditions in artificial sea turtle nests: Towards optimized hatchery management
No full textDATASET MIGRATED FROM FIGSHARE: Data from nest temperature from a hatchery on the Pacific coast of Guatemala. Temperature loggers were buried in 22 nests of Olive Ridley sea turtle (Lepidochelys olivacea) in 2021. The temperature was measured every hour for the whole incubation time.Abstract from related publication:Climate change poses a significant threat to species with temperature-dependent sex determination, such as sea turtles. Their conservation often involves relocating nests to hatcheries, which is also crucial on the Pacific coast of Guatemala, where virtually no hatchlings emerge from natural nests. Populations there rely heavily on hatcheries, yet nest temperature monitoring in relation to environmental and management factors is rarely conducted. Research is needed to improve artificial nest management and hatchery design. This study investigated how distance to the hatchery wall, number of eggs, position in the nest, development period, season, and weather conditions influenced temperature variation in Olive Ridley Turtle (Lepidochelys olivacea) nests. We generally found nest temperatures within viable ranges and near the pivotal temperature for Olive Ridleys. The pivotal temperature of Olive Ridley was exceeded 6%–21% of the time during the thermosensitive period of all nests (starting days 9–15 and ending days 33–37 of incubation), and the upper thermal tolerance limit was rarely reached. However, nests closer to concrete walls were up to 1°C warmer than those farther away, and 30–40 more eggs per nest raised average temperatures by 0.7°C. These findings suggest that distance to hatchery walls and egg numbers per nest can be tools to manipulate nest temperatures and sex ratios. The sex ratios in this study were slightly female-biased. However, optimal sex ratios remain poorly understood, and reliance on ex situ incubation may reduce population adaptability to environmental changes. Ex situ nest conditions in our study displayed lower temperatures than potential in situ conditions, which exceeded the lethal threshold in 86% (z-test, p < 0.001) of the measurements. Our study emphasizes the need for careful hatchery management to safeguard sea turtles against the effects of climate change but also to avoid the consequences of overcompensation due to mismanagement.</p
Coordinate files and representative results for docking of HDACs with phorbazole analogues
No full textThis data represent the structural coordinates, in mol2 file format, of the HDAC models and of the phorbazole compounds used to generate the docking results presented in the article "Investigation of the Histone Deacetylase Inhibitor Potential of Phorbazole Analogues" By IA Nysted Reierth et al. (see related publication section).
The analysis was perform using "ensemble docking" with the GOLD software from CCDC (see method section of the paper for more details). HDAC structures were grouped based on their class (I or II) and the docking was performed separately for each group. The result folder contains the best ranking pose for each compound against each of the class 1 and 2 HDAC models. The bestranking.lst file is a summary of the GOLD score for these compounds. A "pymol session" file, HDAC_class*_dockingresults.pse also summarise these results for visualisation with Pymol. The pose can be opened together with the prepared structures for analysis and visualisation.
The files might be best viewed in "tree" representation from the main page to get a better idea of the folder structure.
This dataset is related to dataset "https://doi.org/10.18710/WUJCYB, Molecular dynamic trajectories for HDAC9 binding analysis", where the docking results presented here are further explored through molecular dynamic simulations
Celiac Disease GWAS summary statistics
No full textPrevious studies have uncovered genetic loci associated with celiac disease (CeD) within both the human leukocyte antigen (HLA) and non-HLA regions. However, half of the heritability remains unexplained. This study aimed to identify novel loci associated with CeD in a general adult population screened for the disease, mitigating the likely selection bias observed in previous case-control studies. The study utilized data from the fourth Trøndelag Health Study (HUNT4) in Norway, where 52,358 adults were screened for CeD using serology, identifying 465 previously undiagnosed biopsy-confirmed cases. Additionally, 377 previously diagnosed cases were identified through hospital journal searches and registry data. Genotyping of 373,185 single nucleotide polymorphisms was performed on all participant using four Illumina HumanCoreExome arrays. Imputation, using the Haplotype Reference Consortium panel, resulted in approximately 24.9 million variants, post quality control. A genome-wide association study was performed using SAIGE, and functional mapping and pathway enrichment analysis was conducted using FUMA. All except one of the 42 known autosomal loci were present in the data, of which seven reached the suggestive significance threshold (P ≤ 5 × 10−6). Thirteen independent novel associations were observed (P ≤ 5× 10−8), with the 5p15.33 locus showing the highest potential for a true association with CeD, warranting further studies to validate the findings. Notably, the IRX1 gene, located close to the 5p15.33 locus has also been associated with rheumatoid arthritis, suggesting a new shared autoimmune locus
Replication data for: Dynamical systems implementation of intrinsic sentence meaning
No full textThe submitted data relate to sections 2.3 and 2.4 of: H. Moisl (2022) Dynamical systems implementation of intrinsic sentence meaning, Minds and Machines 32 (2022), which describe the processing architecture of the model of intrinsic sentence meaning proposed there. Six separate programs are used to generate the results presented in the article, whose interrelationships are described in the above-cited sections.
The paper with which the data are associated proposes a model for implementation of intrinsic natural language sentence meaning in a physical language understanding system, where 'intrinsic' is understood as 'independent of meaning ascription by system-external observers'. The proposal is that intrinsic meaning can be implemented as a point attractor in the state space of a nonlinear dynamical system with feedback which is generated by temporally sequenced inputs. It is motivated by John Searle's well known (1980) critique of the then-standard and currently still influential Computational Theory of Mind (CTM), the essence of which was that CTM representations lack intrinsic meaning because that meaning is dependent on ascription by an observer. The proposed dynamical model comprises a collection of interacting artificial neural networks, and constitutes a radical simplification of the principle of compositional phrase structure which is at the heart of the current standard view of sentence semantics because it is computationally interpretable as a finite state machine.</p