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ShareScore release 0.9.0
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6 results for “Model Rendering”
Elevation Models for Reproducible Evaluation of Terrain Representation - Inventory of Renderings
<p>This is an inventory of 155 renderings from 78 publications on terrain visualization techniques. The renderings guided the selection of landform types in the elevation models that are proposed in the following article:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p> <p>Visualization techniques include colored aspect, contour lines, hypsometric tints, plan oblique relief, relief shading, rock and scree representation, and spot heights. The inventory contains information about display scale of the sample renderings, landform types, cell size, and geographic location of the digital elevation models. Also inventoried are how authors evaluated their renderings, how scale was indicated on the renderings, and whether the cell size and source of elevation data was included.</p> <p>The inventory is formatted as a single table in CSV UTF-8 and MS Excel .xlsx formats. Papers are grouped by visualization type; attributes of each rendering are stored on a single row.</p>
Sound modelling techniques for an interactive audio-rendering simulation of an electric vehicle
<p>Dataset for conference paper "Sound modelling techniques for an interactive audio-rendering simulation of an electric vehicle"</p>
Rendered HOTSSea model output for the pacea R package
<p>This files are for the pacea R package https://github.com/pbs-assess/pacea and are automatically downloaded to your local machine when running the function pacea::hotssea_all_variables() . See the hotssea vignette for details. </p> <p>The Hindcast of the Salish Sea (HOTSSea) is a physical ocean model that recreates conditions throughout the Salish Sea from 1980 to 2018, filling in the gaps in patchy measurements. See pacea for reference. </p>
Lack of strong innate immune reactivity renders macrophages alone unable to control productive Varicella-Zoster Virus infection in an isogenic human iPSC-derived neuronal co-culture model.
GEO Series GSE228390. Homo sapiens. 80 samples. Type: Expression profiling by high throughput sequencing.
CRISPR/Cas9-mediated repair of oncogenic V560G-KIT in HMC-1.2 renders a novel human mast cell line with a single KIT mutation (D816V): an improved preclinical model for therapeutic research on mastocy
GEO Series GSE216446. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Holographic Augmented Reality Versus Screen Visualisation of 3D Rendering Models for the Pre-operative Evaluation and Planning of Liver Resections
ClinicalTrials.gov study NCT06049836. IPD Sharing: YES. Countries: 1. Publications: 0.
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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.