Updated readme with resilience, eluc, blue information

README.md

@@ -1,3 +1,49 @@
+# Project Resilience Emissions from Land-Use Change Dataset
+
+### Project Resilience
+To contribute to this project see [Project Resilience](https://www.itu.int/en/ITU-T/extcoop/ai-data-commons/Pages/project-resilience.aspx) ([Github Repo](https://github.com/Project-Resilience/mvp))
+
+Land Use Change data is provided by the [Land Use Harmonization Project](https://doi.org/10.5194/gmd-2019-360), providing land-use changes from 850-2100
+
+Emissions from Land-Use Change (ELUC) data is provided by the [Global Carbon Budget 2023](https://doi.org/10.5194/essd-15-5301-2023) Bookkeeping of Land-Use Emissions (BLUE) model.
+
+Data was used in [Discovering Effective Policies for Land-Use Planning](https://doi.org/10.48550/arXiv.2311.12304) at [NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning](https://www.climatechange.ai/events/neurips2023)
+
+### Land Use Types
+
+- Primary: Vegetation that is untouched by humans
+
+    - primf: Primary forest
+    - primn: Primary nonforest vegetation
+
+    
+- Secondary: Vegetation that has been touched by humans
+
+    - secdf: Secondary forest
+    - secdn: Secondary nonforest vegetation
+
+- Urban
+
+- Crop
+
+    - c3ann: Annual C3 crops (e.g. wheat)
+    - c4ann: Annual C4 crops (e.g. maize)
+    - c3per: Perennial C3 crops (e.g. banana)
+    - c4per: Perennial C4 crops (e.g. sugarcane)
+    - c3nfx: Nitrogen fixing C3 crops (e.g. soybean)
+
+- Pasture
+
+    - pastr: Managed pasture land
+    - range: Natural grassland/savannah/desert/etc.
+
+### Dataset
+The dataset is indexed by latitude, longitude, and time, with each row consisting of the land use of a given year, the land-use change from year to year+1, and the ELUC at the end of year in tons of carbon per hectare (tC/ha)
+
+In addition, the cell area of the cell in hectares and the name of the country the cell is located in are provided.
+
+A crop and crop_diff column consisting of the sums of all the crop types and crop type diffs is provided as well as the BLUE model treats all crop types the same.
+
 ---
 dataset_info:
   features: