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47 results for “Hackathon”
FedShop - Hackathon
<p>Hackathon</p> <p># Organization</p> <p>data/<br> | virtuoso.ini # The template configfile for Virtuoso 7.2.7<br> | virtuoso_batch_*.db # The dump of Virtuoso for 2 batches. Batch 0 contains 10 vendors and 10 rating sites; Batch 4 contains 50 vendors and 50 rating sites.<br> | batch_*.nq.zip # Compressed file containing NQuads for given batch 0/4<br> | fedx_batch_*.conf # FedX federation members declaration for batch 0/4.<br> queries.txt # List of federated queries following the BSBM explore use case.</p> <p># What does each batch contain?<br> - We generate data using BSBM schema.<br> - Batch 0 contains 10 vendors and 10 rating sites; Batch 4 contains 50 vendors and 50 rating sites.<br> - Each source is stored in dedicated named graph, i.e "http://localhost:8890/sparql/?default-graph-uri=www.ratingsite{0..49}.fr" or "http://localhost:8890/sparql/?default-graph-uri=www.vendor{0..49}.fr".</p> <p># How to use it<br> - Start Virtuoso v7.2.7 with the desired batch, i.e, virtuoso_batch_4.db and update virtuoso.ini.<br> - To obtain expected results, simply execute any given query in queries.txt directly on Virtuoso.<br> - Start RDF4J's FedX with corresponding config file, i.e, fedx_batch_4.conf.<br> - Run any query in queries.txt<br> - The NQ files are dumps of virtuoso_batch*.db. They could be used for ingesting in other datastores or to build indexes.</p>
(Copernicus - WEkEO Hackathon 22 – 23 JUNE 2023 ) Digital Cartography Simulation of Essential ocean variables (EOV) (educational support resource in space oceanography)
<p>Description of idea : The multidimensional view of the Earth and its immediate environment that is provided by space borne sensors, operating at many wavelengths and directed at many different phenomena, has revolutionized man's understanding of his planet and the surrounding space environment.<strong>(John H. McElroy.,1985),</strong></p> <p>Earth observation satellites measuring in the visible and infrared spectral domain provide a global perspective for many required to determine the role of the ocean in the global climate system, as well as the effects on the ocean of a changing climate <strong>(James A. Yoder and all.,2014).</strong></p> <p>Data visualization by video graphics technology is a digital modeling technique also a description or analogy used to help visualize something that cannot be observed directly which exploits the bases of scientific knowledge in a data processing system by the use of mathematical and statistical tools and analysis and forecasting methods to visualize what is hidden behind the data. This work is inspired by the general principle of numerical modeling and data processing, which takes into consideration (the observation of natural phenomena, and the statistical processing of scientific data, which are at the base of the functioning of natural variation).</p> <p>We see on the same simulation scale several other spatial and temporal scale, for example the simulation of SST of several years with a large gap between the years, also the simulation of the displacement of surface currents with the variations of the SST, in other words the document can be used in pedagogy.</p> <p> </p> <p>Bibliographic reference:<br> -Monitoring Earth's Ocean, Land, and Atmosphere from Space-Sensors, Systems, and Applications, edited by Abraham Schnapf, American Institute of Aeronautics and Astronautics, 1985<br> -Optical Radiometry for Ocean Climate Measurements, Elsevier Science & Technology, 2014</p> <p> </p> <p> </p>
Datasets for the openUC2 openOCT build on the Hackathon
<p>More information can be found here https://github.com/openUC2/openUC2-Hackathon-openOCTRemote</p>
ASME 2023 Hackathon SPPARKS Dataset
<p>This dataset is generated from running SPPARKS - a kinetic Monte Carlo model for ASME CIE/IDETC 2023 Hackathon.</p>
2023 ASI OzSingleCell System Immunology Hackathon Dataset
<p>Dataset for the 2023 ASI OzSingleCell System Immunology hackathon. </p> <p>The hackathon aims to bring together experimental (wet-lab) and computational (dry-lab) scientists working in the field of clonal biology, including those working with single-cell technologies like lentiviral barcoding, BCR/TCR clonotyping, and mitochondrial lineage tracing. Others from disparate fields such as UX/UI engineers, AI/ML, deep learning, graph neural networks, computer vision or image preprocessing, causal inference are also encouraged to attend. Data challenges may involve developing new methods for intra-/inter-clonal gene expression signatures, data architecture of clonotype information, or data visualisation.</p> <p>More information is available on our website: <a href="https://2023-asi-ozsinglecell-hackathon.github.io/system-immunology-hackathon/">https://2023-asi-ozsinglecell-hackathon.github.io/system-immunology-hackathon/</a></p>
Ants-Review PoC Demo ETHTurin 2020 Hackathon
<p>Ants-Review Demo of the Proof of Concept for ETHTurin 2020 Hackathon </p>
AI HERO Hackathon 2022 - Team E1 Model Parameters
<p><strong>Model parameters for model created by team E1 at AI HERO Hackathon 2022</strong></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.