If you work with well logs, production histories, or field telemetry, using the right tools can save a huge amount of time by removing repetitive data parsing and manual QA. This quick guide ...

Cardiorespiratory fitness, as measured by peak oxygen uptake during cardiopulmonary exercise testing, is a prognostic indicator. We aim to predict peak oxygen uptake from submaximal variables on ...

The relatively lower inversion accuracy of the ETM+ platform may be attributed to the fact that ETM+ data mainly originate from rivers, and the fast-flowing water body made the temporal consistency ...

Spatial omics data allow in-depth analysis of tissue architectures, opening new opportunities for biological discovery. In particular, imaging techniques offer single-cell resolutions, providing ...

TFCat (Time-Frequency Catalogue) is a data interchange format based on JSON (JavaScript Object Notation), which has been initially designed for exchanging low frequency radio events and features. It ...

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In an age of both big data and increasing strain on water resources, sound management decisions often rely on numerical models. Numerical models provide a physics-based framework for assimilating and ...

MorphoPy is a Python3 package that uses networkX to compute and show information about neurites. The input can be passed with single swc-files or it can handle whole directories with multiple files at ...

One specific goal of the open source basketball analytics machine learning project is to provide a mini-map of the players. Basically a top-down view of the court with the different players ...

With PyCut, you do not need to do 3D modelling. SVG files (2D) are PyCut input format, and for simple milling tasks it is perfectly OK. Granted, SVG shapes (paths) definition is not so straightforward ...