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Published November 5, 2022 | Version 1.1.0
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Data Repository for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin"

Authors/Creators

  • 1. Symbolic Systems Program, Stanford University, Stanford, CA, USA
  • 2. Department of Geophysics, Stanford University, Stanford, CA, USA
  • 3. Regulation, Evaluation, and Governance Lab, Stanford University, Stanford, CA, USA
  • 4. Department of Statistics, Stanford University, Stanford, CA, USA

Description

Data for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin". This repository contains all the processed data used in the simulation (in "processed" folder), part of the raw data (in "raw" folder), and the SWAT simulation results (in "SWAT" folder). The code for processing the raw data, which are either provided here or publicly available online, is provided in the code repository. The links to the publicly available raw data are also provided in the code repository.

Notes

This work is supported by Stanford Impact Labs, Stanford Woods Institute for the Environment, The Chicago Community Trust, and Chicago Community Foundation, and by the Stanford Graduate Fellowship in Science and Engineering awarded to ZW.

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