This README.txt file was generated on <20210620> by # # General instructions for completing README: # For sections that are non-applicable, mark as N/A (do not delete any sections). # Please leave all commented sections in README (do not delete any text). # ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: COVID and Air Quality dataset # # Authors: Include contact information for at least the # first author and corresponding author (if not the same), # specifically email address, phone number (optional, but preferred), and institution. # Contact information for all authors is preferred. # 2. Author Information First Author Contact Information Name: Rebecca Gruener (née Rebecca Tanzer) Institution: Carnegie Mellon University Address: n/a Email: rtgruener@gmail.com Phone Number: 516-507-8556 Corresponding Author Contact Information Name: Albert A. Presto Institution: Carnegie Mellon University Address: n/a Email: albert.presto@gmail.com Phone Number: 412-721-5203 Author Contact Information (if applicable) Name: n/a Institution: Address: Email: Phone Number: --------------------- DATA & FILE OVERVIEW --------------------- # # Directory of Files in Dataset: List and define the different # files included in the dataset. This serves as its table of # contents. # Directory of Files: A. Filename: Rebecca_Spring2020_all_1hr Short description: This is the dataset of all the low-cost sensor data (RAMP data) for the Pittsburgh domain for all site locations from March 1, 2020 through May 14th, 2020. There is hourly pollutant data for all sites including CO, SO2, NO, NO2, O3, temperature, relative humidity, PM2.5, and pressure measurements. B. Filename: March2019_all_1hr Short description: This is the dataset of all the low-cost sensor data (RAMP data) for the Pittsburgh domain for all site locations from March 1, 2019 through March 31st, 2019. There is hourly pollutant data for all sites including CO, SO2, NO, NO2, O3, temperature, relative humidity, PM2.5, and pressure measurements. C. Filename: n/a Short description: n/a Additional Notes on File Relationships, Context, or Content (for example, if a user wants to reuse and/or cite your data, what information would you want them to know?): # # File Naming Convention: Define your File Naming Convention # (FNC), the framework used for naming your files systematically # to describe what they contain, which could be combined with the # Directory of Files. # File Naming Convention: descriptive naming based on averaging time and data collection timing # # Data Description: A data description, dictionary, or codebook # defines the variables and abbreviations used in a dataset. This # information can be included in the README file, in a separate # file, or as part of the data file. If it is in a separate file # or in the data file, explain where this information is located # and ensure that it is accessible without specialized software. # (We recommend using plain text files or tabular plain text CSV # files exported from spreadsheet software.) # ----------------------------------------- DATA DESCRIPTION FOR: [Rebecca_Spring2020_all_1hr] ----------------------------------------- 1. Number of variables: 721 columns (but 9 variables each repeated for each site name) 2. Number of cases/rows: 1801 3. Missing data codes: Code/symbol Definition Code/symbol Definition 4. Variable List # # Example. Name: Gender # Description: Gender of respondent # 1 = Male # 2 = Female # 3 = Transgender # 4 = Nonbinary # 5 = Other gender not listed # 6 = Prefer not to answer # A. Name: Description: Value labels if appropriate B. Name: Description: Value labels if appropriate C. Name: Description: Value labels if appropriate D. Name: Description: Value labels if appropriate E. Name: Description: Value labels if appropriate F. Name: Description: Value labels if appropriate G. Name: Description: Value labels if appropriate H. Name: Description: Value labels if appropriate I. Name: Description: Value labels if appropriate ----------------------------------------- DATA DESCRIPTION FOR: [March2019_all_1hr] ----------------------------------------- 1. Number of variables: 721 columns (but 9 variables each repeated for each site name) 2. Number of cases/rows: 745 3. Missing data codes: Code/symbol Definition Code/symbol Definition 4. Variable List # # Example. Name: Gender # Description: Gender of respondent # 1 = Male # 2 = Female # 3 = Transgender # 4 = Nonbinary # 5 = Other gender not listed # 6 = Prefer not to answer # A. Name: Description: Value labels if appropriate B. Name: Description: Value labels if appropriate C. Name: Description: Value labels if appropriate D. Name: Description: Value labels if appropriate E. Name: Description: Value labels if appropriate F. Name: Description: Value labels if appropriate G. Name: Description: Value labels if appropriate H. Name: Description: Value labels if appropriate I. Name: Description: Value labels if appropriate -------------------------- METHODOLOGICAL INFORMATION -------------------------- # # Software: If specialized software(s) generated your data or # are necessary to interpret it, please provide for each (if # applicable): software name, version, system requirements, # and developer. #If you developed the software, please provide (if applicable): #A copy of the software’s binary executable compatible with the system requirements described above. #A source snapshot or distribution if the source code is not stored in a publicly available online repository. #All software source components, including pointers to source(s) for third-party components (if any) 1. Software-specific information: Name: n/a Version: System Requirements: Open Source? (Y/N): (if available and applicable) Executable URL: Source Repository URL: Developer: Product URL: Software source components: Additional Notes(such as, will this software not run on certain operating systems?): # # Equipment: If specialized equipment generated your data, # please provide for each (if applicable): equipment name, # manufacturer, model, and calibration information. Be sure # to include specialized file format information in the data # dictionary. # 2. Equipment-specific information: Manufacturer: Sensevere LLC. Model: Real-time Affordable Multi-Pollutant (RAMP) sensor packages were used to collect data (if applicable) Embedded Software / Firmware Name: Embedded Software / Firmware Version: Additional Notes: # # Dates of Data Collection: List the dates and/or times of # data collection. # 3. Date of data collection (single date, range, approximate date) <20190301 - 20190331; 20200301 - 20200514>: