rasqas: Read, Assemble, Standardize, Qualify and Analyze data from autonomous Sensors

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Auteur principal: Bruel, Rosalie
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Publié: Zenodo 2026
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author Bruel, Rosalie
author_facet Bruel, Rosalie
contents <p>Functions to read, assemble, and standardize high-frequency data collected by autonomous environmental sensors. The package currently provides functions to ingest heterogeneous text and CSV files produced by multiple sensor manufacturers, automatically detect date-time formats, clean and harmonize measurements, and assess sensor drift compared to a reference sensor.</p> <p>rasqas is still at the embryonal stage... Future developments will extend the package with additional methods for data qualification, analysis, and visualization of sensor time series.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19006490
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle rasqas: Read, Assemble, Standardize, Qualify and Analyze data from autonomous Sensors
Bruel, Rosalie
Lake
Environmental Monitoring/instrumentation
<p>Functions to read, assemble, and standardize high-frequency data collected by autonomous environmental sensors. The package currently provides functions to ingest heterogeneous text and CSV files produced by multiple sensor manufacturers, automatically detect date-time formats, clean and harmonize measurements, and assess sensor drift compared to a reference sensor.</p> <p>rasqas is still at the embryonal stage... Future developments will extend the package with additional methods for data qualification, analysis, and visualization of sensor time series.</p>
title rasqas: Read, Assemble, Standardize, Qualify and Analyze data from autonomous Sensors
topic Lake
Environmental Monitoring/instrumentation
url https://doi.org/10.5281/zenodo.19006490