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    ELVHYS 4.2 - Leakage into cold room/tank connection space considering barriers and obstacles

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    This dataset contains experimental data for an experimental campaign undertaken as part of the ELVHYS project No. 101101381, supported by the Clean Hydrogen Partnership and its members. HSE participation in Horizon Europe Project ELVHYS is supported by UKRI grant number 10070592. HSE participation is further supported by Lloyd’s Register Foundation. This dataset shows the results from the ELVHYS WP4.2 experiments releasing cryogenic hydrogen into a 1 m3 transfer connection space. Three types of experiments were conducted: dispersion from small horizontal and vertical leaks with nozzle diameters 0.2 - 1.8 mm; pressure peaking phenomena of large LH2 releases with nozzle diameter 25.4 mm; and ignition tests which recreated the dispersion conditions and deliberately ignited the flammable cloud. The tests were conducted at HSE Science & Research Centre in Buxton, UK in Autumn 2024. 48 tests were conducted in total, including some commissioning tests

    Replication Data for: "UAV Icing: Drag Increase Prediction Based on Batch-Automated CFD Simulations"

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    This dataset contains the summarized simulation results used in the paper "UAV Icing: Drag Increase Prediction Based on Batch-Automated CFD Simulations". The aim of the paper is to compare existing correlations for the drag increase to numerical simulations and to develop a new drag prediction based on simulated data. Python code can be found under https://git.ntnu.no/joachw/Drag_prediction_public

    Replication Data for: Evaluating the effect of risk metrics for supporting operational decision-making by autonomous surface vehicles

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    This dataset contains replication data for the study reported in the paper “Evaluating the effect of risk metrics for supporting operational decision-making by autonomous surface vehicles” (submitted). The goal was to investigate how the choice of risk metric affects the behavior of an autonomous surface vehicle (ASV) that uses risk information from a risk model to support its decision-making during operation. This dataset contains data from path planning for an ASV in simulations and field trials. A case study of an ASV operating in cooperation with an autonomous underwater vehicle (AUV) was used. The ASV had to plan a path that considered the risk of collision with another vessel, grounding, and losing communication connection with the AUV. The risk estimate from a risk model was expressed using different risk metrics. The path planning was done using a method for dynamic probabilistic risk assessment named K-shortest paths probabilistic risk assessment (KPRA). The ASV was given the same task, i.e., planning a path between two points while avoiding undesired consequences, but with different risk metrics used to support the decision-making. The resulting paths chosen under the information from different risk metrics were recorded. Several datasets are included here, both from simulation studies, where the ASV, AUV, and a target ship (TS) were simulated, and from field trials with a real ASV. The datasets include the location, heading and speed of the vehicles, information about the plans selected by the ASV, and about the waypoints that were explored when searching for the plan. The area of operation was close to the Munkholmen Island in the Trondheimsfjord, Norway

    Replication Data for: Exploring Human-Robot Cooperation with Gamified User Training: A User Study on Cooperative Lifting

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    This dataset contains data within the field of human-robot cooperation. It is used in the article named "Exploring Human-Robot Collaboration with Gamified User Training: A Study on Cooperative Lifting" There are two folders which hold two distinct types of data. 1) Experiment Data: This folder holds each user's real-time motion and score data as well as robot motion data in each trial. There are subfolders, each called by the anonymous user ID. CSV format is used for the data. 2) Survey Data: This folder contains the questionnaire that users are provided before and after the experiment in PDF format. It also has the answers in CSV format. Note that some answers that might reveal the user's identity are removed or coated under a category name. For instance, if a user answered "XXX engineer at XXX company", this answer is shown as "IT/Engineering" only.</p

    Above Ground Biomass (AGB) map for 2020

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    This dataset provides a high-resolution (10 m) pan-European map of forest Above Ground Biomass (AGB) 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

    Data for: Multistage 54,000 m3 Rockfall (Stampa, Western Norway): Insights from Comprehensive Monitoring and Failure Analysis

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    Data for: Multistage 54,000 m3 Rockfall (Stampa, Western Norway): Insights from Comprehensive Monitoring and Failure Analysis. The UAV datasets and camera recordings are available upon request

    Replication Data for: Del 'rollo' como sustantivo comodín contracultural al 'rollo' aproximador en el español coloquial actual

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    This dataset contains one data file (.csv) used in the paper "Del 'rollo' como sustantivo comodín contracultural al 'rollo' aproximador en el español coloquial actual". The data, used to investigate the semantic-pragmatic evolution of 'rollo' from a diachronic perspective, come from a sizeable, manually annotated corpus consisting of colloquial speech, recorded during the second half of the 20th century and the first decades of the 21st century. In order to reflect colloquial speech as closely as possible and to provide a comprehensive view of the usage of 'rollo' in colloquial Spanish over several decades, the corpus is composed of five type of sources encompassing a wide range of texts including (1) humor magazines (La Codorniz), (2) social novels, (3) films, (4) digital texts and (5) conversational corpora. This approach yielded a total of 1100 instances of ‘rollo’ in a corpus of more than 31 million words. The data is annotated for (i) corpus, (ii) decade, (iii) general meaning, (iv) specific meaning, (v) connotative meaning, (vi) number, (vii) determinant, (viii) complement, (ix) verb, (x) syntactic function, (xi) speech act and (xii) pragmatic function.Article abstract: This study focuses on the changes that the term "rollo" has undergone to function as a catchall noun and as a pragmatic marker in colloquial conversation over the past fifty years. To explain this process, a corpus of texts characterized by their colloquial nature was compiled, and data analysis was processed using the Behavioral Profile methodology. Once the dynamic changing relationships between meanings were detected, a qualitative explanation of the diachronic route of abstract meanings was carried out, taking into account the sociocultural factors that motivated them. The results reveal that "rollo" experienced significant semantic changes within the sociocultural movement of the Counterculture in the seventies. Its configuration as a vague element in the youth sociolect enabled it to pragmaticalize as an approximator by the late nineties, which turns out to be the most frequent use in current youth language.</p

    Diet data for Atlantic cod (Gadus morhua), haddock (Melanogrammus aeglefinus), saithe (Pollachius virens), Atlantic halibut (Hippogloussus hippoglossus) and sea trout (Salmo trutta) from Porsangerfjord in Finnmark County, Norway, during 2009-2011

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    Diet data for Atlantic cod (Gadus morhua), haddock (Melanogrammus aeglefinus), saithe (Pollachius virens), Atlantic halibut (Hippogloussus hippoglossus) and sea trout (Salmo trutta) from Porsangerfjord in Finnmark County, Norway, during 2009-2010. Cod were sampled from shallow water (file: Diet_G_morhua_Pors_shallow, average depth of 15 m) using fish rod and from deep water (file: Diet_G_morhua_Pors_deep, average depth of 180 m) using a shrimp trawl. Saithe(file Diet_P_virens_Pors.txt), haddock (file Diet_M_aeglefinus_Pors.txt) and Atlantic halibut (file Diet_H_hippoglossus_Pors.txt) were also sampled at deep water (average depth of 180 m) using shrimp trawl. Sea trout (file: Diet_S_trutta_Pors.txt) was sampled using gill nets at shallow water (2 m depth). The data was collected and analysed as part of the EPIGRAPH program. Proportions wet weight of various prey groups were estimated based on stomach analysis. The data is used in the publication: Pedersen, T., et al. (2018). Effects of the invasive red king crab on food web structure and ecosystem properties in an Atlantic fjord. Marine Ecology Progress Series 596: 13-31

    Supporting data for the article: The crystal structure of dypingite: Understanding the long-range disorder

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    The Crystal Structure of Dehydrated Dypingite Dataset comprises comprehensive experimental data supporting the first structural characterization of dehydrated dypingite (Mg5(CO3)4.5(2)(OH)0.96(3)·5.0(2)H2O), a hydrated magnesium carbonate hydroxide mineral that remained structurally unknown for over five decades due to aggregated morphology and structural disorder. The dataset provides systematic experimental evidence demonstrating that ambient humidity significantly influences dypingite's structural properties: high humidity (80% RH) causes inhomogeneous unit cell expansion along the c-axis with long-range lattice disorder, while low humidity (20% RH) yields reduced disorder and shorter lattice parameters, with samples differing by one water molecule of hydration. The dataset includes: 1) synchrotron powder X-ray diffraction patterns of hydrated and dehydrated dypingite samples (both synthetic and mineral); 2) time-resolved dehydration data; 3) results of thermogravimetric analysis of hydrated and dehydrated synthetic dypingite; 4) refined crystal structure of dehydrated dypingite. By making these data publicly available, we hope to spark researchers’ interest in dypingite, paving the way for broader utilization of this eco-friendly material in everyday life

    Background data for Income and Capital breeding - Calanus reproduction in a subarctic fjord

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    High temporal resolution timeseries, containing lipid data and observation data for four Calanus species in Skjerstadfjord from June 2019 to December 2020. Aim Mapping the lipid content for sympatric Calanus species during the year. Calanus species C. hyperboreus, C. glacialis, C. finmarchicus, and C. helgolandicus Location Skjerstadfjord, Northern Norway Location depth 543 meters below surface (mbs) Sampling Copepodite samples collected using a HydroBios Multinet with a 200 µm mesh size (depth ranges 500-300-200-100-50-0 mbs). Nauplii samples collected using a WP2-net with a 50 µm mesh size (depth range 50-0 mbs). CTD (Salinity, Temperature, Depth) data collected with every multinet sample Data Species determination Genetic analysis (C. glacialis, C. finmarchicus, and C. helgolandicus) Morphology (C. hyperboreus) Genetic analysis (nauplii all species) Total lipid content and prosome length Lipid sack size and prosome length analysis from photographs Observations Food ingested, parasites, gonad maturation stag, sperm pouch. Details At each sampling event, one sample was collected from each depth range. From each sample, up to 20 live specimens of each stage were collected at random. The live specimens were photographed for measurements and observations. The specimens were then preserved in ethanol. Specimens that were not morphologically identified as Calanus hyperboreus (determined by prosome length) were genetically identified. Genetical species determination were only carried out for stages CF (adult females) and CM (adult males). Physical samples are stored at Nord university. Results from the dataset A running mean of total lipid per specimen, and temporal presence related to observation data and nauplii for each species in stage CF (adult female). The study based on this data provide strong evidence of C. hyperboreus and C. glacialis acting as capital breeders and C. finmarchicus acting as an income breeder

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