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8
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ShareScore release 0.9.0
Dataset results
8 results for “Flying Networks”
On-the-Fly Syntax Highlighting Using Neural Networks - Replication Package (Data)
<p>This dataset includes the data to replicate the study for the paper <em>On-the-Fly Syntax Highlighting Using Neural Networks</em>. It can be reused for future research in the field. We also include the detailed results obtained by executing our approach.</p> <p>HLNN-Resources.zip includes the input data already formatted to be directly used with the shared source code.</p> <p>The paper is published in the proceeding of the <em>30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)</em>.</p>
Data from: Flying by night: Comparing nocturnal pollinator networks over time in the Colorado Rocky Mountains
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FAN-GHETS24: A Flying Ad Hoc Network Dataset for Early Time Series Classification of Grey Hole Attacks
<p>Flying ad-hoc networks (FANETs) consist of multiple unmanned aerial vehicles (UAVs) that rely on multi-hop routes for communication. These routes are particularly susceptible to grey hole attacks, necessitating swift and accurate defense to preserve the network's quality of service. This novel dataset, FAN-GHETS24, is designed for early time series classification of various grey hole attack scenarios. The dataset is derived from sequences of packet interactions between UAVs within the network, generated through multiple simulations. These sequences undergo post-processing via two methods: firstly, an anonymization procedure that replaces IP addresses with standard string variables, allowing for offline model training and universal deployment across UAVs; and secondly, the application of feature engineering techniques to format the data for machine learning model integration.</p> <div> <div>The dataset is split across several zip files, combine and extract them by issuing these command:</div> </div> <div> <div>$ zip -FF fan-ghets24.zip --out fan-ghets24-combined.zip</div> <div>$ unzip fan-ghets24-combined.zip</div> </div>
Data from: Individual-based networks reveal the importance of bee fly (Bombyliidae) pollination in a diverse co-flowering community
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FIGURE 2. Median joining network genes showing 95 in Taxonomic status of the black fly Prosimulium italicum Rivosecchi (Diptera: Simuliidae) based on genetic evidence
FIGURE 2. Median joining network genes showing 95% probability linkages among 28 haplotypes of COI and COII genes obtained from 29 individuals of P. hirtipes and P. italicum. Mutational changes are represented by ticks across network connections. The area of each circle is proportional to the number of individuals sharing the haplotype.
Temporal flexibility of gene regulatory network underlies a novel wing pattern in flies
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Network analysis with either Illumina or MinION reveals that detecting vertebrate species requires metabarcoding of iDNA from a diverse fly community
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Fly Boolean Implication Network
GEO Series GSE119084. Drosophila melanogaster. 0 samples. Type: Expression profiling by array; Third-party reanalysis.
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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.