This README.txt file was generated on 2024-04-19 by Yuanyu Xie



GENERAL INFORMATION

1. Title of Dataset: Data for 'Recent improvements in PM2.5 air quality in India benefited from meteorological variations'

2. Author Information
	A. Principal Investigator Contact Information
		Name: Yuanyu Xie
		Institution: Princeton University
		Address: Robertson Hall, Princeton, NJ, USA
		Email: yuanyux@princeton.edu


3. Date of data collection (single date, range, approximate date):2021–2023 

4. Geographic location of data collection: India 

5. Information about funding sources that supported the collection of the data: M.S. Chadha Center for Global India at Princeton University, the Princeton School of Public and International Affairs and its Center for Policy Research on Energy and the Environment. NERC Independent Research Fellowship (MITRE; NE/W007924/1)


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: CC-BY 4.0.

2. Links to publications that cite or use the data: 

3. Links to other publicly accessible locations of the data: 

4. Links/relationships to ancillary data sets: 

5. Was data derived from another source? No
	



DATA & FILE OVERVIEW

1. File List: 
(1) CAAQM_PM25.nc: daily surface PM2.5 concentration
(2) WRFChem_PM25.nc: monthly surface PM2.5 concentration

2. Relationship between files, if important: 

3. Additional related data collected that was not included in the current data package: 

4. Are there multiple versions of the dataset? no



METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
Surface PM2.5 observation is collected from the CAAQM network available at https://app.cpcbccr.com/ccr/#/caaqm-dashboard-all/caaqm-landing.
Model PM2.5 data is derived from WRF-Chem model simulations with anthropogenic emission fixed at the 2017 level.

2. Methods for processing the data: 
Data are processed and analyzed using the R 4.1.3 scripts

3. Instrument- or software-specific information needed to interpret the data: 

4. Standards and calibration information, if appropriate: 

5. Environmental/experimental conditions: 

6. Describe any quality-assurance procedures performed on the data: 

7. People involved with sample collection, processing, analysis and/or submission: 
Disha Sharma, Yuanyu Xie, Mi Zhou, Chien Nguyen