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.zenodo.json
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{
"language": "eng",
"license": "MIT",
"title": "hesseflux: a Python library to process and post-process Eddy covariance data",
"related_identifiers": [
{
"scheme": "url",
"identifier": "https://github.com/mcuntz/hesseflux/",
"relation": "isDerivedFrom",
"resource_type": "software"
},
{
"scheme": "url",
"identifier": "https://mcuntz.github.io/hesseflux/",
"relation": "isDocumentedBy",
"resource_type": "publication-softwaredocumentation"
},
{
"scheme": "url",
"identifier": "https://pypi.org/project/hesseflux/",
"relation": "isIdenticalTo",
"resource_type": "software"
}
],
"upload_type": "software",
"keywords": [
"Eddy covariance",
"spike detection",
"gap-filling",
"imputation",
"u* filtering",
"FR-Hes",
"ICOS"
],
"creators": [
{
"orcid": "0000-0002-5966-1829",
"affiliation": "Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement - INRAE, Nancy, France",
"name": "Matthias Cuntz"
}
],
"access_right": "open",
"description": "<p><strong>hesseflux</strong> collects functions used for processing Eddy covariance data of the <a href=\"https://www.icos-cp.eu/\">ICOS</a> ecosystem site <a href=\"https://www.icos-france.fr/en/static3/the-network\">FR-Hes</a>.</p>\n\n<p>The post-processing functionality for Eddy flux data is similar to the R-package <a href=\"https://cran.r-project.org/web/packages/REddyProc/index.html\">REddyProc</a> and includes basically the steps described in <a href=\"https://doi.org/10.5194/bg-3-571-2006\">Papale et al. (Biogeosciences, 2006)</a> plus some extensions such as the daytime method of flux partitioning (<a href=\"https://doi.org/10.1111/j.1365-2486.2009.02041.x\">Lasslop et al., Global Change Biology 2010</a>).</p>\n\n<p>Full documentation is available at <a href=\"https://mcuntz.github.io/hesseflux/\">https://mcuntz.github.io/hesseflux/</a></p>\n\n<p>v2.0 was the initial public release.</p>"
}