5 Model Predictions: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins

<p>This data release item contains water temperature predictions for 455 river sites across the U.S. Predictions are from the models described by Rahmani et al. (2021b).</p>

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:6084cb2ed34eadd49d31aeaf
metadata_type geospatial
modified 20210927
old-spatial -124.138658984335, 29.1524975232233, -67.8714112090545, 49.0018341836332
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 4eac1b4b8752a0f9c99c0a246b33593ddd8bdd72
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-124.138658984335, 29.1524975232233], [-124.138658984335, 49.0018341836332], [ -67.8714112090545, 49.0018341836332], [ -67.8714112090545, 29.1524975232233], [-124.138658984335, 29.1524975232233]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • al
  • alabama
  • amerigeo
  • amerigeoss
  • ar
  • arizona
  • arkansas
  • az
  • ca
  • california
  • ckan
  • co
  • colorado
  • connecticut
  • ct
  • dc
  • de
  • deep-learning
  • delaware
  • district-of-columbia
  • environment
  • ga
  • geo
  • georgia
  • geoss
  • ia
  • id
  • idaho
  • il
  • illinois
  • in
  • indiana
  • inlandwaters
  • iowa
  • kansas
  • kentucky
  • ks
  • ky
  • ma
  • machine-learning
  • maine
  • maryland
  • massachusetts
  • md
  • me
  • mi
  • michigan
  • minnesota
  • mississippi
  • missouri
  • mn
  • mo
  • modeling
  • montana
  • ms
  • mt
  • national
  • nc
  • nd
  • ne
  • nebraska
  • nevada
  • new-hampshire
  • new-jersey
  • new-mexico
  • new-york
  • nh
  • nj
  • nm
  • north-america
  • north-carolina
  • north-dakota
  • nv
  • ny
  • oh
  • ohio
  • ok
  • oklahoma
  • or
  • oregon
  • pa
  • pennsylvania
  • rhode-island
  • ri
  • sc
  • sd
  • south-carolina
  • south-dakota
  • streams
  • tennessee
  • texas
  • tn
  • tx
  • united-states
  • us
  • usgs-6084cb2ed34eadd49d31aeaf
  • ut
  • utah
  • va
  • virginia
  • wa
  • washington
  • water-resources
  • water-temperature
  • west-virginia
  • wi
  • wisconsin
  • wv
  • wy
  • wyoming
isopen False
license_id notspecified
license_title License not specified
maintainer Farshid Rahmani
maintainer_email fzr5082@psu.edu
metadata_created 2025-11-20T15:11:52.153443
metadata_modified 2025-11-20T15:11:52.153447
notes &lt;p&gt;This data release item contains water temperature predictions for 455 river sites across the U.S. Predictions are from the models described by Rahmani et al. (2021b).&lt;/p&gt;
num_resources 2
num_tags 110
title 5 Model Predictions: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins