Datasets to simulate data-driven models for filling the temporal gaps in the low-frequency nitrate data
This data was used to develop a DL model (LSTM model) based data-driven modeling framework for filling the temporal gaps in the low-frequency stream nitrate data. The dataset was prepared to test the effectiveness of the developed framework to estimate daily stream nitrate at low-frequency nitrate monitoring regions. Three river basins in Iowa, USA, including Des Moines River Basin, Iowa River Basin, and Cedar River Basin, were selected to test the developed framework's performance. This dataset contains forcing, attributes, and time frame for simulation data.
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Work Title | Datasets to simulate data-driven models for filling the temporal gaps in the low-frequency nitrate data |
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Subtitle | Input environmental data to estimate daily stream nitrate concentration |
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License | CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike) |
Work Type | Dataset |
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Publication Date | October 15, 2023 |
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DOI | doi:10.26207/28et-1e58 |
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Deposited | October 15, 2023 |
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