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Data for "Reconstruction of sparse stream flow and concentration time-series through compressed sensing"

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DataCite Commons2025-12-12 更新2026-04-25 收录
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http://www.hydroshare.org/resource/a70e86faebe448128ecb0e208626ba4d
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资源简介:
This archive includes data used in Zhang et al.'s GRL paper "Reconstruction of sparse stream flow and concentration time-series through compressed sensing", which has been published and is available at https://doi.org/10.1029/2022GL101177. There are two directories that contain 1) daily-scale streamflow and water quality data in multiple gages during 2015-2021, and 2) 15-min-scale stream flow and water quality data in one gage during 2015-2021. The variables include streamflow, temperature, specific conductance, turbidity, dissolved oxygen, nitrate concentration, and phosphorous concentration. The number of gages for different variables varies in the daily-scale data. All the data was retrieved from the USGS National Water Information System (https://waterdata.usgs.gov/nwis).
提供机构:
Consortium of Universities for the Advancement of Hydrologic Science, Inc
创建时间:
2025-12-12
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