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47 results for “ownership”
The Impact of Code Ownership of DevOps Artefacts on the Outcome of DevOps CI Builds
<p><strong># The Impact of Code Ownership of DevOps Artefacts on the Outcome of DevOps CI Builds</strong></p><p>This is the replication package of an empirical analysis on a dataset of 892,193 DevOps CircleCI builds spanning 1,689 Open-Source Software projects.</p><p>We employ a two-pronged approach to our study. First, we investigate the impact of chronological code ownership of DevOps artefacts on the outcome of a DevOps CI build on a build level. Second, we study the impact of the Skewness of DevOps contributions on the success rate of DevOps CI builds on a project level.</p>
The sense of body ownership shapes the visual representation of body size
<p>Data collected and analyzed in the manuscript: Giurgola S, Crico C, Farnè A, Bolognini N. The sense of body ownership shapes the visual representation of body size. J Exp Psychol Gen. 2021 Oct 25. doi: 10.1037/xge0001111; PMID: 34694859.</p>
Drivers of global variation in land ownership - dataset
<p><span>Land ownership shapes natural resource management and social–ecological resilience, but the factors determining ownership norms in human societies remain unclear. Here we conduct a global empirical test of long‐standing theories from ecology, economics and anthropology regarding potential drivers of land ownership and territoriality. Prior theory suggests that resource defensibility, subsistence strategies, population pressure, political complexity and cultural transmission mechanisms may all influence land ownership. We applied multi‐model inference procedures based on logistic regression to cultural and environmental data from 102 societies, 71 with some form of land ownership and 31 with no land ownership. We found an increased probability of land ownership in mountainous environments, where patchy resources may be more cost effective to defend via ownership. We also uncovered support for the role of population pressure, with a greater probability of land ownership in societies living at higher population densities. Our results also show more land ownership when neighboring societies also practiced ownership. We found less support for variables associated with subsistence strategies and political complexity.</span></p>
Algorithm Ownership
<p>Ferramentas com a proposta de calcular a propriedade de código de sistemas, a partir de dados minerados da plataforma GitHub, e de analisar os resultados gerados.</p>
Data from: Severe fire weather and intensive forest management increase fire severity in a multi-ownership landscape
Many studies have examined how fuels, topography, climate, and fire weather influence fire severity. Less is known about how different forest management practices influence fire severity in multi-owner landscapes, despite costly and controversial suppression of wildfires that do not acknowledge ownership boundaries. In 2013, the Douglas Complex burned over 19,000 ha of Oregon & California Railroad (O&C) lands in Southwestern Oregon, USA. O&C lands are comprised of a checkerboard of private industrial and federal forestland (Bureau of Land Management, BLM) with contrasting management objectives, providing a unique experimental landscape to understand how different management practices influence wildfire severity. Leveraging Landsat based estimates of fire severity (Relative differenced Normalized Burn Ratio, RdNBR) and geospatial data on fire progression, weather, topography, pre-fire forest conditions, and land ownership, we asked 1) what is the relative importance of different variables driving fire severity, and 2) is intensive plantation forestry associated with higher fire severity? Using Random Forest ensemble machine learning, we found daily fire weather was the most important predictor of fire severity, followed by stand age and ownership, followed by topographic features. Estimates of pre-fire forest biomass were not an important predictor of fire severity. Adjusting for all other predictor variables in a general least squares model incorporating spatial autocorrelation, mean predicted RdNBR was higher on private industrial forests (RdNBR 521.85 ± 18.67 SE) versus BLM forests (398.87 ± 18.23 SE) with a much greater proportion of older forests. Our findings suggest intensive plantation forestry characterized by young forests and spatially homogenized fuels, rather than pre-fire biomass, were significant drivers of wildfire severity. This has implications for perceptions of wildfire risk, shared fire management responsibilities, and developing fire resilience for multiple objectives in multi-owner landscapes.
The SUUBI Program: Asset-Ownership for Orphaned Children in Uganda
ClinicalTrials.gov study NCT01163695. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Drivers of global variation in land ownership - dataset
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Data from: Cultural burden of wild pet ownership causes selective parrot defaunation despite habitat restoration efforts in Costa Rica
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Data from: Severe fire weather and intensive forest management increase fire severity in a multi-ownership landscape
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Data from: The body beyond the body: expectation of a sensory event is enough to induce ownership over a fake hand
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Data from: Patterns of rangeland productivity and land ownership: implications for conservation and management
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Ancient forest statistics (Daubrée statistics 1908, decennial agricultural statistics of 1892 and 1929) describing French forest area by department administrative units, ownership and forest management types
<p>This dataset provides three ancient forest statistics: i) the first comprehensive French forest statistics (termed <em>Daubrée</em> statistics), ii) the decennial agricultural statistics of 1892, iii) the decennial agricultural statistics of 1929. The three ancient statistics provide information about the French forest area and the annual forest volume harvested at the department administrative level (EU/EC NUTS-3 units) split by legal category of ownership and forest management type. Afforestation rates are provided at NUTS-3 level ( and split by legal category of ownership only in <em>Daubrée</em> statistics). Only in <em>Daubrée</em> statistics, the tree species-specific forest areas are also presented by NUTS-3 level and broken down by legal category of ownership. Finally, the number of private forest owners is indicated by NUTS-3 administrative level in 1929 statistics and in <em>Daubrée</em> statistics. This dataset can be used to understand the past forest dynamics, the impact of past forest policies on French forests, the evolution of major tree biodiversity in France.</p>
CN, Remote Driving, Remote driving with data ownership focus
<p>Use Case Category: <strong>Remote Driving</strong><br> User Story: <strong>Remote driving with data ownership focus</strong><br> Location: Chinese (CN) trial site</p> <p>According to 3GPP TS 22.186 R16, Remote Driving “enables a remote driver or a V2X application to operate a remote vehicle for those passengers who cannot drive themselves or a remote vehicle located in dangerous environments. For a case where variation is limited, and routes are predictable, such as public transportation, driving based on cloud computing can be used. In addition, access to cloud-based back-end service platform can be considered for this use case group”.</p> <p>User Story: <strong>Remote driving with data ownership focus</strong></p> <p> </p> <p>In the China test site, the control centre plays an important role to remotely control the autonomous subject vehicle (Vehicle A), autonomous test vehicle (Vehicle B) and Pedestrian C to complete the networking performance testes of connected vehicles. The control centre first plans the scheme and then sends the</p> <p>global path information to Vehicle B through RSU. During the experiment, subject vehicle A communicates with RSU via V2I and with test vehicle B via V2V. After obtaining real-time information, local path planning will be carried out to complete the plan. After the test, Vehicle A notifies the control centre and uploads various data to the cloud server.</p>
The PIONEER Initiative: Precision Insights On N-of-1 Ex Vivo Effectiveness Research Based on Individual Tumor Ownership (Precision Oncology)
ClinicalTrials.gov study NCT03896958. IPD Sharing: YES. Countries: 1. Publications: 0.
Total Cost of Ownership of Plug-in Electric Vehicles Calculations Data sheet
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Role of vehicle technology on use: Joint analysis of the choice of plug-in electric vehicle ownership and miles traveled
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Data from: Forward modeling the rubber hand: illusion of ownership modifies motor-sensory predictions by the brain
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Data from: Body ownership and agency altered by an electromyographically-controlled robotic arm
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Survey of Smokers Treated in the Emergency Department (ED) on Ownership and Usage of Cell Phones
ClinicalTrials.gov study NCT01820533. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Visuo-Tactile Integration and Body Ownership in the Human Brain
ClinicalTrials.gov study NCT05164991. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.