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ShareScore release 0.9.0
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3 results for “action description”
Machine-actionable data descriptions for Austria's digital landscape model
<p>The digital landscape model (DLM) is a compilation of several data sets that, among other things, form the data basis for official maps. It covers a variety of the 34 themes of the EU directive INSPIRE. The introduction of these themes enriched the metadata and made similar datasets easier to find. Unfortunately, the competent authority (BEV) only provides the associated data descriptions as a PDF export of an Excel spreadsheet without translations. This dataset contains the raw data and visualizations.</p>
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH. in Deep learning brings speed, accuracy to the life sciences.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH.
Safe cardiac action potential test (www.scaptest.com) : a database describing the in silico cardiac safety profile of drugs and their propensity to induce early afterdepolarization - Part II : description of 50 additional drugs
<p><span>This file describes the<em> in silico</em> cardiac safety profile of 50 additional drugs (in addition to the 150 drugs already described in the zenodo file 7541554) in order to complete the “scaptest” database.<span> </span>The aim of this database is to describe the <em>in silico</em> cardiac safety profile of drugss and their propensity to induce early afterdepolarization.<span> </span>This is based on the study of the effects of drugs on the non-failing human ventricular myocyte action potential (endo-, mid- and epicardial subtypes) reconstructed by computational simulation (O’Hara-Rudy dynamic algorithm) in order to identify cardiac action potential abnormalities such as high variations and/or occurrence of resting membrane potential, action potential amplitude, maximal rate of action potential rise, action potential duration, triangulation, early afterdepolarization, transmural dispersion of repolarization, reverse use dependence, qNet or minimal rate of action potential decrease at early afterdepolarization take-off voltage. These various parameters are useful in order to assume a more accurate predictability of pro-arrhythmic liabilities of new drug candidate in the cardiac safety pharmacology screening process, which is the aim of the comprehensive in vitro pro-arrhythmia assay (CiPA) initiative. The <em>in silico</em> cardiac safety profile of each drug is illustrated by a separate page describing the effects induced by each compound on these various parameters. The results are summarized regarding the expected pro-arrhythmia profile of the various compounds as described by the CredibleMeds classification evaluating their propensity to induce torsade de pointes.</span></p>
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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.