Data for 'Know Before You Go: Data-Driven Beach Water Quality Forecasting'

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Abstract/Contents

Abstract
Bulk modeling datasets used to develop fecal indicator bacteria (FIB) forecast models. Datasets contain all FIB types and hundreds of environmental variables from the following types: tide, wave, meteorological, water quality, stream flow, ocean currents. There are missing values that must be cleaned prior to fitting models.

Description

Type of resource Dataset, text
Date created [ca. July 2022]
Date modified December 5, 2022; December 9, 2022
Publication date August 15, 2022; December 6, 2022

Creators/Contributors

Author Searcy, Ryan
Author Boehm, Alexandria

Subjects

Subject fecal indicator bacteria, environmental data, beach water quality, forecast
Genre Data
Genre Tabular data
Genre Data sets
Genre Dataset
Genre Tables (data)

Bibliographic information

Related item
DOI https://doi.org/10.25740/nw799cp6263
Location https://purl.stanford.edu/nw799cp6263

Access conditions

Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

Preferred citation

Preferred citation
Searcy, R. and Boehm, A. (2022). Data for 'Know Before You Go: Data-Driven Beach Water Quality Forecasting'. Stanford Digital Repository. Available at https://purl.stanford.edu/nw799cp6263. https://doi.org/10.25740/nw799cp6263.

Collection

Boehm Research Group at Stanford

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