Abstract: Computing derivatives of noisy measurement data is ubiquitous in the physical, engineering, and biological sciences, and it is often a critical step in developing dynamic models or designing ...

Hydrological data are typically sequential and often correspond to large datasets, and not all application programs allow their retrieval, storage, and manipulation. This technical article aims to ...

Automatic recognition of insect sound could help us understand changing biodiversity trends around the world—but insect sounds are challenging to recognize even for deep learning, due to the broad ...

Gentrification in Mexico City is impacting housing accessibility and displacing its residents. To demonstrate this claim, we use two datasets and scraped data to observe temporal and spatial trends of ...

Nasdaq's market share, advanced technology, extensive portfolio of markets, and data partnerships contribute to its reputation as a premier and reliable market data provider for prominent industry ...

This repository aims at centralising MATLAB/Octave tools to interact with BIDS (Brain Imaging Data Structure) datasets. For more information about BIDS, visit https ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

Background: Although several measures have been proposed for assessing the quality of structural and fMRI data, there is no clear guidance on which of the measures are the best indicators of quality, ...

The adoption of quantitative and Artificial Intelligence (AI)/Machine Learning (ML) techniques, and the growth of systematic strategies have made investment research data especially important for ...

Welcome to the Provena Python Client repository! This client library is a programmatic interface designed to interact seamlessly with your Provena instance. The client uses the same Pydantic models as ...

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