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

<p>This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30.</p>

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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:6083384fd34efe46ec0a2333
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	5ab32d802437f15d72cab28726158973db65ea17
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-6083384fd34efe46ec0a2333 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	2025-11-21T17:16:45.188084
metadata_modified	2025-11-21T17:16:45.188089
notes	<p>This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30.</p>
num_resources	2
num_tags	110
title	2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins