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ShareScore release 0.9.0
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3 results for “collections coverage”
Beyond Coverage Path Planning: Can UAV Swarms Perfect Scattered Regions Inspections? - Data Collected and Presented for the Experiments
<p>This dataset contains images collected (and processed) for the experiments of Beyond Coverage Path Planning: Can UAV Swarms Perfect Scattered Regions Inspections?" journal article, a work that defines a new path planning problem for UAVs - the Fast Inspection of Scattered Regions (FISR) - and introduces a novel method that deals with this problem - the multi-UAV Disjoint Areas Inspection (mUDAI) method. For the validation of the introduced methodology, two sets of real-world experiments were executed, one small-scale in Galatsi, Athens, were two mUDAI missions were depolyed, with two different optimization objectives for the data collection procedure (Mazimized Coverage Objective - MCO, and Balanced Coverage Objective - BCO), and one large scale in ZEP-Kissos, Thessaloniki, where a Coverage Path Planning (CPP) mission, and 2 mUDAI missions, one with a single and one with two UAVs, using both the MCO criterion for the data collection, were deployed. Regarding the CPP mission, both the collected images, and the processed results (to generate 2D, 3D, elevation, and plant health maps) are included.</p> <p>In this <a title="mUDAI - ChoosePath platform guide" href="https://sites.google.com/view/mudai-platform/" target="_blank" rel="noopener">page</a> you can find a guide for the on-line platform hosting demo instances of the algorithms used for the deployment of all experiments.</p> <p>In case you use this data, please cite the article:<br>(Article under review - more information to be included soon)</p>
The Painful Real-life Experience of the Child of Less Than Three Years During the Removal of the Collecting Bags in the Pediatric Urgency: What Strategy of Coverage?
ClinicalTrials.gov study NCT01659190. IPD Sharing: Not stated. Countries: 1. Publications: 1.
COVERAGE OF INFORMATION ON THE ECONOMIC LIFE OF CENTRAL ASIA ON THE PAGES OF "TURKISTON COLLECTION"
<p><em><span>This article was prepared on the basis of the materials of the Turkistan Collection, which is considered a rare source of the history of our country from the period of Tsarist Russia, and the main purpose of the research is to analyze information on the economic life, economy and ethnoculture of the Ferghana Valley during the period of Tsarist Russia. The methods of objectivity and comparative analysis were used in this research work. Within the framework of the research work, the main emphasis was placed on the period of Tsarist Russia. As part of the research topic, scientists of Fergana State University such as R.Arslonzoda, S.V.Yoldoshev, H.P.Zhorayev, R.Akbarov have carried out scientific research. Based on the materials of this research work, information about the economy and economic life of our country during the period of Tsarist Russia has been highlighted.</span></em></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.