1 Site Information: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins

<p>This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. A table of basin attributes is also supplied. Attributes, observations, and weather forcing data for these basins were used to train and test the stream temperature prediction models of Rahmani et al. (2021b).<\p>

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isopen False
license_id notspecified
license_title License not specified
maintainer Farshid Rahmani
maintainer_email fzr5082@psu.edu
metadata_created 2025-11-21T15:33:16.556821
metadata_modified 2025-11-21T15:33:16.556825
notes &lt;p&gt;This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. A table of basin attributes is also supplied. Attributes, observations, and weather forcing data for these basins were used to train and test the stream temperature prediction models of Rahmani et al. (2021b).&lt;\p&gt;
num_resources 2
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title 1 Site Information: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins