Author Correction: Explainable AI approach with original vegetation data classifies spatio‑temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef
Notes or commentaries
O’Sullivan, Cherie M., Deo, Ravinesh C. and Ghahramani, Afshin. 2023. "Author Correction: Explainable AI approach with original vegetation data classifies spatio‑temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-48938-0
Article Title | Author Correction: Explainable AI approach with original vegetation data classifies spatio‑temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef |
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ERA Journal ID | 201487 |
Article Category | Notes or commentaries |
Authors | O’Sullivan, Cherie M., Deo, Ravinesh C. and Ghahramani, Afshin |
Journal Title | Scientific Reports |
Journal Citation | 13 (1) |
Article Number | 22522 |
Number of Pages | 1 |
Year | 2023 |
Publisher | Nature Publishing Group |
Place of Publication | United Kingdom |
ISSN | 2045-2322 |
Digital Object Identifier (DOI) | https://doi.org/10.1038/s41598-023-48938-0 |
Web Address (URL) | https://www.nature.com/articles/s41598-023-48938-0 |
Abstract | Correction to: Scientific Reports, published online 24 October 2023 The original version of this Article contained an error in the Results section, under the subheading ‘Verification of catchment classification for DIN similarities’, where two instances of the unit ‘mg/L’ were incorrectly stated as m/L and g/L , respectively. While simulated peaks were under estimated in all cases, a review of the raw data identified that the maximum nitrogen concentration in the dataset for Herbert Catchment was 1.8105 m/L, which is the highest historical record, plus two additional peaks ranging between 1.320 g/L and 1.694 mg/L. now reads: While simulated peaks were under estimated in all cases, a review of the raw data identified that the maximum nitrogen concentration in the dataset for Herbert Catchment was 1.8105 mg/L, which is the highest historical record, plus two additional peaks ranging between 1.320 mg/L and 1.694 mg/L. The original Article has been corrected. © 2023, The Author(s). |
Keywords | AI, Dissolved Inorganic Nitrogen (DIN) |
Related Output | |
Is supplement to | Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 401703. Energy generation, conversion and storage (excl. chemical and electrical) |
Public Notes | This is a corrected version of the publication. |
Byline Affiliations | University of Southern Queensland |
School of Mathematics, Physics and Computing | |
Centre for Applied Climate Sciences | |
Department of Environment and Science, Queensland |
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