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    Dataset for: Human factor influences on supervisory control of remotely operated and autonomous vessels

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    Experimental results investigating the effects of five independent factors on supervisory control of autonomous maritime vessels from a land-based control center. This database includes raw data from a simulator experiment with 32 trials. Each trial represents a participant's performance after completion of two different simulated scenarios. The participant was tasked with remotely supervising autonomous ferries and taking preventative actions, if needed. Participants were recruited from two groups: expert maritime navigators and video game players. Data can be used to measure performance and reaction time. The five independent factors investigated where: (A) Skillset (B) Monitoring Time (C) Number of Vessels (D) Available Time and (E) Decision Support System

    Supplementary materials for: Urban Density and Accessibility: A methodological approach

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    The built environment's impact on human behaviour is well-documented. Still, quantitative research on the topic usually focuses on a large scale, with few studies at the neighbourhood level. This study presents a method investigating the correlation between the local built environment densities and accessibility. We propose a three-step approach using kindergartens in the Stavanger region, Norway, as a case. First, through GIS, we estimate the kindergartens' serviceability as a function of accessibility using 10-minute walking isochrones. Second, we statistically compare the results with density quantifications to explore the relationship between the built environment and kindergarten access. Third, through field observations, we record the travel modes used to access five kindergartens in areas representing the region's built environment diversity. The results demonstrate that populations in denser areas are more likely to walk with their children. However, the research reveals that over 12% of the region's residents live beyond a 10-minute walking distance to kindergartens, making them reliant on cars to access this service. This study aims to provide an adaptable and replicable method to evaluate accessibility to a range of crucial facilities in cities. The findings from such analyses can help optimise the built environment and the provision of services in more sustainable ways.The dataset integrates information from various sources, including Census data, Cadastral data, Road network data, Kindergarten data and Observation data. Although most are collected in geo-referred format, further adjustments are required to enable the integration. The intention of the supplementary material PDF is to inform other researchers how to replicate the study, not supplying all the datasets used

    Arctic Indigenous Peoples languages and revitalization map

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    Dataset containing (5) GIS shapefiles which can be used to visualize a circumpolar overview map of geographical language speaker areas for Arctic Indigenous Peoples languages with additional attribute information about the languages. The language speaker areas show generally the maximum continuous areas where the Indigenous Peoples who spoke those languages lived in a historical context. The exact time range is defined specifically per region. Data from the languages and dialects shapefile was used to make language family and language family branch shapefiles. There is also a separate shapefile with some examples of innovative language revitalization in the region. There is a supporting shapefile of Arctic places to assist when visualizing the data. The 5 shapefiles can be used together or separately. All shapefiles are intended to be used as open resources for education and research. The shapefile for Languages and Dialects (Arctic_In_Lang_Dialect_V1-1_2024-Final.zip) is an updated version 2 from August 30, 2024. Fixes in this version 1.1: 1. Language polygon for "Chilcotin"/"Tsilhqút'ín" included 2. 3 empty remnant attribute entries removed</p

    Fytobibliografi: Database over planter i skandinaviske bildebøker

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    Phytobibliography: Database of plants in Scandinavian picturebooks is designed as a quantitative and qualitative framework, developed to recognize, and register the flora of Scandinavian picturebooks for children and analyze their role and function. The dataset contains ca. 300 books, and four corpora: One corpus consisting of 102 Swedish and Norwegian picturebooks for children published between 1900 and 1930, one of 107 Swedish and Norwegian picturebooks published in 2020, one of 13 prize-awarded New Norwegian picturebooks published after the year 2000, and one corpus composed of 57 prizeawarding Swedish, Norwegian and Danish picturebooks published between 2000 and 2022

    Replication Data for: How to threaten in Russian: a constructionist approach

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    This dataset concerns the data for the article that analyzes various linguistic means to carry out threats in Russian with a special focus on 27 constructions tagged as "Threat" in the Russian Constructicon, a linguistic repository of more than 2200 constructions in the Russian language. The major purpose of the study is to investigate what constitutes a threat in Russian and how threats are related to other constructions. Unlike talking about threats, performing them in Russian does not involve the verbs ugrožatʹ and grozitʹ ‘threaten’. Instead, speakers prefer to use various indirect strategies, such as the construction Pogovori mne eščë! ‘Don’t you dare talk like that!’. Although the constructions involve considerable variation in form and content, they share a common structure. The proposed taxonomy suggests that threats comprise three components that can be referred to as “Cause” (the undesired action of the threatenee), “Condition” (the action that the threatenee should take to avoid the Content of the threat), and “Content” (the harmful action that the threatener promises to carry out). In most cases one or two components are left out and the remaining components are often referred to through metonymy

    GNSS Total Electron Content Data (60 s) at Hopen in 2022

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    This data set contains Total Electron Content data at 60 seconds time resolution at Hopen, 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. </p

    Replication Data for: Implications of Timanian thrust systems in the Barents Sea and Svalbard on using paleontological constraints for plate tectonics reconstructions

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    Figure_1a-b: high-resolution version of Figure 1a-b in the above-mentioned manuscript. Figure caption from the manuscript: (a) Overview of Timanian thrust systems and fingerprints in the Norwegian Arctic showing the location of the study area (white frame). The dashed black line marks the boundary between the Russian and Norwegian Barents Sea. (b) Overview of the study area in the Norwegian Barents Sea showing major Timanian thrust systems and the location of seismic profiles displayed in Figure 2. The basemap is the International Bathymetric Chart of the Arctic Ocean from Jakobsson et al. (2012). Abbreviations: AA: Atomfjella Antiform; BeFZ: Bellsundbanken fault zone; BFZ: Billefjorden Fault Zone; H2: Hopen-2 exploration well; KCFZ: Kongsfjorden–Cowanodden fault zone; KDFZ: Kinnhøgda–Daudbjørnpynten fault zone; LFZ: Lomfjorden Fault Zone; NY: Ny Friesland; P1: Plurdalen-1 exploration well; RA: Rijpdalen Anticline; R1: Raddedalen-1 exploration well; SKFZ: Steiløya–Krylen fault zone; Sø: Sørkapp; VKSZ: Vimsodden–Kosibapasset Shear Zone. Figure_2a: high-resolution version of Figure 2a in the above-mentioned manuscript. Figure caption from the manuscript: Seismic profiles (a) in Storfjorden, (b) south of Hopen, and (c) between Bjørnøya and Spitsbergen. The profiles show several kilometers thick, crustal-scale, dominantly NNE-dipping Timanian thrust systems (black lines) within Proterozoic basement rocks, and related overprints within lower Paleozoic, upper Paleozoic, and Mesozoic (–Cenozoic?) successions. The profiles also show major (erosional) unconformities between the Proterozoic basement, lower Paleozoic, and upper Paleozoic successions (white half-arrows). Figure_2b: high-resolution version of Figure 2b in the above-mentioned manuscript. Figure caption from the manuscript: Seismic profiles (a) in Storfjorden, (b) south of Hopen, and (c) between Bjørnøya and Spitsbergen. The profiles show several kilometers thick, crustal-scale, dominantly NNE-dipping Timanian thrust systems (black lines) within Proterozoic basement rocks, and related overprints within lower Paleozoic, upper Paleozoic, and Mesozoic (–Cenozoic?) successions. The profiles also show major (erosional) unconformities between the Proterozoic basement, lower Paleozoic, and upper Paleozoic successions (white half-arrows). Figure_2c: high-resolution version of Figure 2c in the above-mentioned manuscript. Figure caption from the manuscript: Seismic profiles (a) in Storfjorden, (b) south of Hopen, and (c) between Bjørnøya and Spitsbergen. The profiles show several kilometers thick, crustal-scale, dominantly NNE-dipping Timanian thrust systems (black lines) within Proterozoic basement rocks, and related overprints within lower Paleozoic, upper Paleozoic, and Mesozoic (–Cenozoic?) successions. The profiles also show major (erosional) unconformities between the Proterozoic basement, lower Paleozoic, and upper Paleozoic successions (white half-arrows). Figure_3a-d: high-resolution version of Figure 3a-d in the above-mentioned manuscript. Figure caption from the manuscript: (a) Zoom in seismic data showing the undulating geometry of reflection characterizing Proterozoic basement and lower Paleozoic successions, whereas reflections within upper Paleozoic succession are relatively flat lying (white lines). (b) Zoom in seismic data showing toplap geometries in moderately NNE-dipping reflections below the fuchsia and pink reflections in the north, and the onlapping character of reflections at the base of the upper Paleozoic succession over the lower Paleozoic reflection (white half-arrows). (c) Zoom in seismic data Between Bjørnøya and Sørkapp showing the onlapping character of reflections within the lower Paleozoic succession onto a Proterozoic basement paleo-high (white half-arrows) and early Paleozoic reactivation of an inherited Timanian thrust that offset the base of the lower Paleozoic succession in a reverse fashion. (d) Zoom in seismic data showing toplap geometries near the top of the lower Paleozoic succession and onlap geometries at the base of the upper Paleozoic succession (white half-arrows). See location of (a–d) zooms in Figure 2. The legend is identical to Figure 2, except where specified otherwise. Figure_4a-b: high-resolution version of Figure 4a-b in the above-mentioned manuscript. Figure caption from the manuscript: Conceptual model showing how emerged paleo-highs in the Barents Sea and Svalbard following (a) preexisting Timanian thrusts in the Cambrian and (b) both inherited Timanian and newly formed Caledonian thrusts in the Ordovician controlled biological exchanges/mixing between Svalbard and Baltica in the early Paleozoic. Despite the opening of Iapetus, biological mixing between Greenland and Svalbard may have been possible until the Early Ordovician when top-east/southeast Caledonian thrusting and folding initiated, which was possibly compensated by transgression due to the closing of Iapetus (Fortey, 1984). Present Continent–Ocean Boundary is from Dumais et al. (2021)

    Replication data for: A long-haul change: Differential object marking in early Slavonic

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    This dataset provides replication data for an article on differential object marking in early Slavonic. The article uses extensive treebank data from the PROIEL and TOROT treebanks to track the much-debated rise of the animacy category in Russian, which in this article will be analysed as a change from at least partly definiteness-driven differential object marking in Old Church Slavonic via constructionally conditioned variation in Old East Slavonic to fully fledged animacy subgender marking in late Middle Russian. The change is interesting from a methodological point of view as well, since it requires us to annotate data through an ongoing change, and also since conventional treebank annotation is not enough to capture the conditions of the observed variation and change: annotation for semantics and information structure is necessary too. The article describes and defends a conservative approach to annotation in the face of change: the analysis that fits the first attested stage of a change is retained as long as possible

    Replication data for: The Impact of Female Leadership in Collegial Courts on Time to Render Merits Decisions: Evidence from the Norwegian Supreme Court

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    The data set contains all observations (Norwegian Supreme Court cases 2008-2019 decided in five-justice panels) and variables (independent variables measuring presiding justice, case complexity, opinion heterogeneity, justice's background, chief term, and workload, and dependent variable measuring the duration of case disposition time) relevant for a replication of the study.In addition to the ReadMe-file, there are two files containing identical data, but in different formats: a *.dta file in Stata 17.0 format and a *.txt file that can be read with a browser or Notepad. The *,txt file can be imported into various statistical software.ABSTRACT OF STUDY: What is the effect of gender on the deliberative process of judging? Drawing on previous research on female leaders’ inclination to foster a more inclusive and collaborative decision-making process, we argue that decision making takes more time in a collegial court when female justices preside over decisional panels. Analyzing an original data set on cases decided by the Norwegian Supreme Court between 2008 and 2019, we find that when a woman is the presiding justice, the duration of case disposition time increases. This effect, however, persists for only eight days. Our finding suggests that institutional practices take effect over gendered effects

    Bitcoin blockchain optimized for machine learning prediction model

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    This dataset stores part of the Bitcoin blockchain. Blocks are sampled every month and information about transactions and blocks are separated to save disk space and avoid redundancies. This dataset is used in the work presented by Tedeschi et al.[1], in order to generate a machine learning model that predicts transaction inclusion. In each month of analysis, there is a block folder and a transaction folder. Information can be merged runtime through 'bhash' attribute (block hash). [1] https://doi.org/10.1145/352866

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