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May 20, 2019 at 8:35 p.m.
Resource type: Composite Resource


The purpose of this resource is to demonstrate how the CUAHSI JupyterHub platform can be used to perform basic hydrologic data analysis. Temperature data is collected via the CUAHSI Hydrologic Information System (HIS) using web services. These data are organized using Python classes, and plotted in various ways to demonstrate common data analysis steps.

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May 20, 2019 at 8:20 p.m.
Resource type: Composite Resource


This resource contains an example dataset and R script to utilize during the CUAHSI data services clinic at the 2019 CSDMS Conference. The dataset is streamflow output from the National Water Model at a gage near Raleigh, NC. The script reads the streamflow, locates USGS observed flow at the same location, and compares the two, displaying a hydrograph.

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Type Title First Author Date Created Last Modified Subject Authors Permission Level Labels Favorite Last modified Sharing Status Date Created
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Analysis of Air Temperature using the CUAHSI HIS Anthony Michael Castronova 17 May, 2019 7:28 p.m. 30 Jul, 2019 7:52 p.m. 1564516368 1558121326 1183
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Compare USGS and NWM streamflow at a gage - CSDMS Example data and script Danielle Tijerina 14 May, 2019 7:40 p.m. 22 May, 2019 9:31 p.m. 1558560691 1557862847 1183
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Collection Resource Icon  Collection
Composite Resource Icon  Composite
Generic Resource Icon  Generic
Geographic Feature Resource Icon  Geographic Feature
Geographic Raster Resource Icon  Geographic Raster
Model Instance Resource Icon  Model Instance
Collection Resource Icon  MODFLOW Model Instance
SWAT Model Instance Resource Icon  SWAT Model Instance
Model Program Resource Icon  Model Program
Multidimensional Resource Icon  Multidimensional
Time Series Resource Icon  Time Series
HIS Referenced Time Series Resource Icon  HIS Referenced Time Series
Web App Resource Icon  Web App
Script Resource Icon  Script