This README.txt file was generated on 2022-05-06 by Elmera Azadpour & Kristin Gill GENERAL INFORMATION 1. Title of Dataset: Optimal Green Infrastructure: Reducing Stormwater Runoff Pollution in Maunalua Bay, O'ahu, Hawai'i. 2. Author Information A. Project Manager Information Name: Cat Takata Institution: Bren School of Environmental Science & Management, University of California, Santa Barbara (UCSB) Email: ctakata@bren.ucsb.edu B. Data Co-Manager Contact Information Name: Elmera Azadpour Institution: Bren School of Environmental Science & Management, University of California, Santa Barbara (UCSB) Email: elmera@bren.ucsb.edu C. Data Co-Manager Contact Information Name: Kristin Gill Institution: Bren School of Environmental Science & Management, University of California, Santa Barbara (UCSB) Email: kristin_gill@bren.ucsb.edu 2. Information about funding sources that supported the collection of the data: Dipaola Foundation: The Dipaola Foundation actively supports efforts to preserve and enhance our natural environment, advocates for sustainability across all fields and sectors, and passionately seeks to contribute to creating a more sustainable future for generations to come. SHARING/ACCESS INFORMATION 1. Recommended citation for this dataset: Azadpour E., Chiong, G., Gill, K., Skube, L. and Takata, C. (2022). Optimal Green Infrastructure: Reducing Stormwater Runoff Pollution in Maunalua Bay, O'ahu, Hawai'i.. UC Santa Barbara Bren School of Environmental Science & Management. https://bren.ucsb.edu/projects/optimal-green-infrastructure-reducing-stormwater-pollution-maunalua-bay-oahu-hawaii DATA & FILE OVERVIEW 1. Folder List: a. Climate Change Data i) climate_change_rmd ii) climate_model_data iii) climate_model_python iv) imgs v) probability_distribution vi) SWMM_results vii) climate_change_metadata.txt b. LID Data i) Wailupe green roof scenario analyses ii) Wailupe subcatchment 78 LID analyses iii) LID_data.rtf c. Other Data i) Coral Reef ii) Flood Zones iii) Hawaii Rainfall Atlas iv) Parks v) Sediment vi) WetlandsS vii) Site Locator Toolbox.tbx d. SWMM Input Data i) Calibration Data ii) DEM iii) Impervious Surfaces iv) Input File Creation v) Soil Curve Number vi) Stormwater Infrastructure vii) Subcatchments viii) Watershed Outlines METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: See final report for methodology used for our analyses (https://bren.ucsb.edu/projects/optimal-green-infrastructure-reducing-stormwater-pollution-maunalua-bay-oahu-hawaii) 2. Instrument- or software-specific information needed to interpret the data: i) Environmental Protection Agency’s (EPA) Stormwater Management Model (SWMM) 5.1 ii) R version 4.2.0 iii) ArcGIS Pro 2.6.0 iv) Jupyter Lab/Notebook with Anaconda (Python 3) DATA-SPECIFIC INFORMATION FOR FOLDERS: 1. See metadata (txt) files associated within each folder for more details