Update README.md

README.md

@@ -4,12 +4,25 @@ Contains the code and configuration files necessary to reproduce a global analys
 
 ## Data
 
-This analysis uses the following data:
+This analysis uses the following data with no preprocessing:
   * The NASA Global Landslide Catalog
-  * MODIS Burned Area
+    - Kirschbaum, D.B., Adler, R., Hong, Y., Hill, S., and Lerner-Lam, A. (2010), A global landslide catalog for hazard applications: method, results, and limitations. Natural Hazards, 52,561-575. doi: 1007/s11069-009-9401-4. 
+    - Data accessed from [Global Landslide Catalog Downloadable Products Gallery](https://maps.nccs.nasa.gov/arcgis/apps/MapAndAppGallery/index.html?appid=574f26408683485799d02e857e5d9521)
+    - Data should be placed in `00-data` > `raw` > `GLC20201204.csv` to run the `02-analysis` > `glc.Rmd` notebook  without modifications
+
+This analysis uses the following data preprocessed to extract values at landslide locations and calculat precipitation percentile:
+  * MODIS Burned Area (Global, 2004-2019)
+    - Giglio, L., Justice, C., Boschetti, L., Roy, D. (2015). <i>MCD64A1 MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m SIN Grid V006</i> [Data set]. NASA EOSDIS Land Processes DAAC. Accessed 2019-12-04 from https://doi.org/10.5067/MODIS/MCD64A1.006
+    - Data accessed from [OPeNDAP](https://lpdaac.usgs.gov/tools/opendap/)
   * CHIRPS Precipitation
-  * Daymet Precipitation and Snow Water Equivalent (SWE)
+    - Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p. ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/docs/USGS-DS832.CHIRPS.pdf
+    - Data accessed from the [University of California Santa Barbara](https://data.chc.ucsb.edu/products/CHIRPS-2.0/)
+  * Daymet Daily Surface Weather Data Precipitation and Snow Water Equivalent (SWE)
+    - Thornton, M.M., R. Shrestha, Y. Wei, P.E. Thornton, S-C. Kao, and B.E. Wilson. 2022. Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 R1. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2129
+    - Data accessed from the [Oak Ridge National Laboratory DAAC](https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=2129)
 
+The preprocessed dataset are available from zenodo at DOI 10.5281/zenodo.7653639 and should be placed in `00-data` > `processed` to runthe `02-analysis` > `glc.Rmd` notebook  without modifications
+
 ## To run:
 
 Some preprocessing steps are performed using the land-surface-modeling-utilities package using configuration files in `01-preprocessing/cfg`: