This repository includes data for the above manuscript
Authors: Nyssa J. Silbiger*, Megan J. Donahue, and Katie Lubarsky
Funding: This research was funded in part by the National Science Foundation Award #1924281 to NJS, NSF # 1923877 to MJD, and the University of Hawai’i SeaGrant Program (NA14OAR4170071-R/SB-10) to MJD. Some data were obtained via the Hawaii Ocean Time-series HOT-DOGS application at University of Hawai'i at Mānoa, which was funded by National Science Foundation Award # 1756517. This paper is funded in part by a grant from the National Oceanic and Atmospheric Administration, Project R/SB-10, which is sponsored by the University of Hawaii Sea Grant College Program, SOEST, under Institutional Grant NA14OAR4170071 from NOAA Office of Sea Grant, Department of Commerce. The views expressed herein are those of the authors and do not necessarily reflect the views of NOAA or any of its subagencies.
Journal: Proceedings of the Royal Soceity B
Link: https://royalsocietypublishing.org/doi/full/10.1098/rspb.2020.2743
Contents: There are two folders, scripts, and a README.md file.
Data: These are the original data files that were used in the code.
- Chemicaldata_Maunalua.csv
Output: Output plots and summary statistics from the code
Maunalua_cleancode.R: All the scripts used to QA/QC, process, and analyze all the data and make plots used in the manuscript.
predictioncode.R: Script for the Bayesian sensitivity analysis.
DAG.R: Script to make the DAGS.
radonplot.R: Script assess relationship between radon and silicate from Nelson et al. 2015.
mapplot_noAPI.R: Script to make the maps. Must load the prediction code data first and you will need to get your own API from google cloud.