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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15580756 |
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| _version_ | 1866902220428017664 |
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| author | vaughngrey |
| author_facet | vaughngrey |
| contents | <p>Original code release: 3/6/2025 Code to support paper: Grey et al. 2025 Journal of Hydrology, Harnessing the strengths of machine learning and geostatistics to improve streamflow prediction in ungauged basins; the best of both worlds</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15580756 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | vaughngrey/JHydrology_Streamflow_ISA: Original code vaughngrey <p>Original code release: 3/6/2025 Code to support paper: Grey et al. 2025 Journal of Hydrology, Harnessing the strengths of machine learning and geostatistics to improve streamflow prediction in ungauged basins; the best of both worlds</p> |
| title | vaughngrey/JHydrology_Streamflow_ISA: Original code |
| url | https://doi.org/10.5281/zenodo.15580756 |