metEAUdata: a framework for automatic metadata generation for environmental time series preprocessing.
- DOI
- 10.2166/wst.2026.255
- Published
- 2026 Apr
- Container
- Water science and technology : a journal of the International Association on Water Pollution Research
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.2166/wst.2026.255,
title = {metEAUdata: a framework for automatic metadata generation for environmental time series preprocessing.},
author = {Therrien JD and Vanrolleghem PA},
year = {2026},
journal = {Water science and technology : a journal of the International Association on Water Pollution Research},
doi = {10.2166/wst.2026.255},
url = {https://doi.org/10.2166/wst.2026.255}
}RIS
TY - JOUR TI - metEAUdata: a framework for automatic metadata generation for environmental time series preprocessing. AU - Therrien JD AU - Vanrolleghem PA PY - 2026 JO - Water science and technology : a journal of the International Association on Water Pollution Research DO - 10.2166/wst.2026.255 UR - https://doi.org/10.2166/wst.2026.255 ER -
APA
JD, T., & PA, V. (2026). metEAUdata: a framework for automatic metadata generation for environmental time series preprocessing.. Water science and technology : a journal of the International Association on Water Pollution Research. https://doi.org/10.2166/wst.2026.255
Source records
- pubmed · retrieved 2026-09-25T09:05:58.094Z