- Craig See, Postdoctoral Scientist, Northern Arizona University
- Ellery Vaughan, Postdoctoral Scientist, Northern Arizona University
- Ruth Yanai, Professor, SUNY College of Environmental Science and Forestry
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Harmonize - Using GoogleSheet Data Key, combine all raw data files. Creates archival data in long format.
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Wrangle P Fractions - Sum P fractions conditionally by dataset to create relevant P sums (e.g., "total", "slow", etc.)
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Attach Ancillary Data - Join on ancillary data to the data created by step 2 for use in statistics/visualization
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Extract Spatial Information - Grabs the resulting csv from Step 3 and add on lithology and soil order data for lat/lon coordinates
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Statistics Prep - Subset the data made by step 3 into scientifically-relevant groups for testing particular hypotheses
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Calculate Averages - Accept all 'stats-ready' files and average to both plot- and site-level
7A. Graphs - Make graphs/figures from the data created by step 4 and 5
7B. Statistics - Perform statistics on data (likely only data from step 4 but maybe step 5 too)
NCEAS Scientific Computing Support Team page link