Skip to content
Change the repository type filter

All

    Repositories list

    • Saving staff time by building a model that identifies Electronic Annual Reports (EARs) with errors? Can we learn more about contributing factors through geographic visualization? By Anna Waldron and Elena Smith, Winner of Imagine H2O Award in 2018 California Water Data Challenge
      Jupyter Notebook
      00010Updated Dec 8, 2022Dec 8, 2022
    • Website for the Berkeley Water Data Collaborative
      HTML
      1000Updated Dec 21, 2019Dec 21, 2019
    • Data from scraping SDWIS Water System Details pages, distributed in the Datapackage format.
      0100Updated Feb 23, 2019Feb 23, 2019
    • Examples and resources for intial steps of data curation
      Jupyter Notebook
      0000Updated Nov 10, 2018Nov 10, 2018
    • cawc

      Public
      Main repository for my contributions to the California Safe Water Challenge
      Jupyter Notebook
      1000Updated Nov 8, 2018Nov 8, 2018
    • JavaScript
      0000Updated Nov 8, 2018Nov 8, 2018
    • Wiki to discuss current issues and next steps of collaborative effort of students, government agencies, and non-profits
      0000Updated Nov 8, 2018Nov 8, 2018
    • Dammed If You Do A map and infographics visualizing dam hazard in California Inspiration Dams are important, but not often thought about by members of the public, until something goes wrong. This project communicates the potential risk, with an objective of building support for dam safety in California. What it does Identifies and communicates t…
      CSS
      0000Updated Nov 8, 2018Nov 8, 2018
    • This repository documents the Open Water Rate Specification (OWRS), a machine-readable format for specifying and sharing water rate information. OWRS is designed for analysts, economists, and software developers interested in analyzing water rates. OWRS attempts to fully encode a water utility's rate structure and pricing schedules in a form th…
      0000Updated Nov 8, 2018Nov 8, 2018
    • Lead Levels in San Francisco Schools San Francisco Unified School District tested the school's drinking water for lead last year. This map shows the highest lead levels detected at each school based on multiple sample sites and dates. There is no safe level of lead, especially for children. Even small amounts can lower IQ. Damage from lead expos…
      JavaScript
      0100Updated Nov 8, 2018Nov 8, 2018
    • The California Dept of Public Health estimates that 85 percent of California’s community public water systems, supplying more than 30 million residents, rely on groundwater for at least part of their drinking water supply. Because many community water systems are entirely reliant on groundwater for their drinking water supply, contamination of t…
      Jupyter Notebook
      MIT License
      2300Updated Nov 8, 2018Nov 8, 2018
    • Frontend Map that makes it easy to see the severity of contamination level
      Jupyter Notebook
      MIT License
      0000Updated Nov 8, 2018Nov 8, 2018
    • 2018 Project by Rich Pauloo at UC Davis
      0000Updated Nov 8, 2018Nov 8, 2018
    • datasets

      Public
      team cleaned datasets
      0000Updated Nov 1, 2018Nov 1, 2018
    • Jupyter Notebook
      0000Updated Oct 24, 2018Oct 24, 2018
    • JavaScript
      0000Updated Oct 24, 2018Oct 24, 2018
    • Water data analysis
      Jupyter Notebook
      1100Updated Oct 24, 2018Oct 24, 2018
    • CWEE's entry into the 2016 CA Water Board Data Innovation Challenge.
      R
      MIT License
      0000Updated Oct 24, 2018Oct 24, 2018
    • Winner of the 2016 CA Water Data Challenge
      PHP
      0000Updated Oct 23, 2018Oct 23, 2018
    • Better Data Quality for Better Water Equity - Transforming EAR data
      Jupyter Notebook
      0200Updated Oct 16, 2018Oct 16, 2018