Data for 'Know Before You Go: Data-Driven Beach Water Quality Forecasting'
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 |
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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 |
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Author | Boehm, Alexandria |
Subjects
Subject | fecal indicator bacteria, environmental data, beach water quality, forecast |
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Genre | Data |
Genre | Tabular data |
Genre | Data sets |
Genre | Dataset |
Genre | Tables (data) |
Bibliographic information
Related item |
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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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