yangxhcaf/droughtnet_precipsens_ecolets

Files for the "Sensitivity of primary production to precipitation across the United States" publication in Ecology Letters (DroughtNet UNM/ASU members)

DroughtNetUNM - ecolets-figshare branch

Files for the UNM/ASU DroughtNet group, mostly consisting of data management and analysis code. This group is studying ecosystem responses to climatic variability in the continental U.S. (mostly).

In this repository:

• bin/ - Scripts for raw data extraction and processing (MODIS, USHCN). See Code Guide
• docs/ - documentation; also see the table of contents below
• figs/ - figures output by analysis scripts (jupyter notebooks, mostly)
• jupyter/ - Jupyter notebooks containing data analysis, statistics, figure creation, and associated R functions (common_stats_functions.R). Documentation of processing, analysis, and figure creation is in the notebooks themselves. Also see Code Guide.

Source and derived data

The raw data used in this study are mostly public datasets and can be downloaded as needed. We have a shared directory of the raw data, and derived data produced in data reduction and analysis (DATADIR). A subset of the raw and derived data are collected in the Figshare collection associated with this project:

• https://doi.org/10.6084/m9.figshare.c.4780313

See the Data Guide document below for more detailed information on locating source or derived data. To point data processing and analysis scripts to a new DATADIR, edit the paths in create_ushcn_files.R and common_stats_functions.

Documentation

Table of contents:

• Code Guide - how to run various data processing and analysis scripts
• Data Guide - guide to data sources and derived data files in DATADIR
• File metadata - guide to processed data file names, column names, etc
• Statistics - explanation of statistical models and outputs

Associated publications