Great Lakes Water Quality Dataset
Authors: | |
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Owners: | Nandita B Basu |
Type: | Resource |
Storage: | The size of this resource is 252.0 MB |
Created: | Jul 29, 2021 at 7:10 p.m. |
Last updated: | Mar 20, 2023 at 1:03 p.m. (Metadata update) |
Published date: | Mar 20, 2023 at 1 p.m. |
DOI: | 10.4211/hs.b94e2da3b5094cdfa679ad31fe7fb09d |
Citation: | See how to cite this resource |
Content types: | Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content Geographic Feature Content |
Sharing Status: | Published |
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Views: | 7458 |
Downloads: | 180 |
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Abstract
This repository contains stream water quality data (dissolved inorganic nitrogen, total nitrogen, soluble reactive phosphorus and total phosphorus), and corresponding streamflow data across 202 monitored gages in the Great Lakes Basin (GLB). The water quality dataset includes both raw data (~10 - 12 data points a year), and daily concentration and load data estimated using the Weighted Regression against Time, Discharge and Seasons (WRTDS) over a 16-year timeframe (2000 - 2016). The dataset also includes results from a random forest (RF) model that predicts seasonal and annual concentrations and loads, as well as nutrient ratios, in monitored and un-monitored watersheds in across the entire transboundary river basin. Specifically, the repository includes:
1) Measured concentration and flow data for 202 gages in the GLB from 2000 - 2016
2) Modelled (using WRTDS) daily concentration data for the 202 gages from 2000 - 2016
3) RF Predicted seasonal and annual concentration and loads across the entire basin
Subject Keywords
Coverage
Spatial


















Content
Data Services
Related Resources
The content of this resource is derived from | https://waterdata.usgs.gov/nwis/qw |
The content of this resource is derived from | https://data.ontario.ca/dataset/provincial-stream-water-quality-monitoring-network |
The content of this resource is derived from | https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/monitoring/survey.html |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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Canada First Research Excellence Fund | Lake Futures: Enhancing Adaptive Capacity and Resilience of Lakes and their Watersheds |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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