CO2 Data Collection of the Mauna Loa Observatory

mauna-loa/LICENSE

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mauna-loa/NOTES.md

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+# Mauna Loa CO₂ Data Processing Notes
+
+## Data Source
+This dataset is provided by the NOAA Global Monitoring Laboratory (GML) as part of the Carbon Cycle Cooperative Global Air Sampling Network. The data were collected at Mauna Loa Observatory (MLO) through Flask, Insitu, and Surface PFP sampling at hourly, daily, monthly, and discrete frequencies, providing CO₂ concentrations over multiple decades.
+
+## License
+The data are released under the Creative Commons Zero (CC0 1.0 Universal) Public Domain Dedication. For full details, see the [CC0 1.0 license](https://creativecommons.org/publicdomain/zero/1.0/).
+
+## Citation
+If you use this data, please cite it as follows:
+> Lan, X., J.W. Mund, A.M. Crotwell, K.W. Thoning, E. Moglia, M. Madronich, K. Baugh, G. Petron, M.J. Crotwell, D. Neff, S. Wolter, T. Mefford, and S. DeVogel (2024), Atmospheric Carbon Dioxide Dry Air Mole Fractions from the NOAA GML Carbon Cycle Cooperative Global Air Sampling Network, 1968-2023, Version: 2024-07-30, https://doi.org/10.15138/wkgj-f215
+
+## Additional Information
+For detailed information on data collection, calibration, and quality control, refer to the original NOAA documentation, which can be found [here](https://gml.noaa.gov/dv/data/index.php?search=loa&parameter_name=Carbon%2BDioxide).

mauna-loa/README.md

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+# Mauna Loa Observatory CO₂ Data Processing
+
+This repository contains data and scripts to process CO₂ concentration data collected from the Mauna Loa Observatory. The data includes various types of CO₂ measurements, such as discrete, monthly, daily, and hourly readings, stored in subdirectories corresponding to the sampling type.
+
+## Directory Structure
+
+There are six subdirectories in the main directory. Each subdirectory contains similar sets of files based on data sampled at different frequencies or formats (e.g., flask monthly, insitu daily). The subdirectories are as follows:
+
+- `flask-discrete/`
+- `flask-monthly/`
+- `insitu-daily/`
+- `insitu-hourly/`
+- `insitu-monthly/`
+- `surface-discrete/`
+
+### File Types in Each Subdirectory
+
+Each subdirectory contains the following files:
+- **Data Files**:
+  - `.csv`: Comma-separated values file with CO₂ concentration data.
+  - `.json`: JSON format of the same data.
+  - `_no_nan.json`: JSON file excluding rows with missing (NaN) values.
+  - `.md`: Markdown file representation of the data.
+  - `_raw.txt`: Original raw data file as downloaded from NOAA.
+
+- **Scripts and Documentation**:
+  - `.py`: Python script used to process the raw data file.
+  - `_README.html`: Detailed README from NOAA, including data usage, license, and warnings.
+
+## Usage
+
+The scripts are designed to load, process, and save CO₂ concentration data for different sampling types, generating a CSV, JSON, JSON (without NaNs), and Markdown output for each dataset. The data files include:
+
+- `Timestamp`: Date and time of the sample.
+- `Fractional Year`: The year with a decimal representing the exact time within the year.
+- `CO2 (ppm)`: CO₂ concentration in parts per million.
+- `Standard Deviation (ppm)`: Measurement uncertainty.
+
+### Examples of Processed Data
+
+#### CSV Example
+
+```csv
+Timestamp, Fractional Year, CO2 (ppm), Standard Deviation (ppm)
+2021-07-02T15:21:59Z, 2021.500384291, 417.8, 0.041
+2021-07-04T15:22:01Z, 2021.5058638064, 416.95, 0.041
+...
+
+```
+
+#### JSON Example
+
+```
+[
+    {
+        "Timestamp": "2021-07-02T15:21:59Z",
+        "Fractional Year": 2021.500384291,
+        "CO2 (ppm)": 417.8,
+        "Standard Deviation (ppm)": 0.041
+    },
+    {
+        "Timestamp": "2021-07-04T15:22:01Z",
+        "Fractional Year": 2021.5058638064,
+        "CO2 (ppm)": 416.95,
+        "Standard Deviation (ppm)": 0.041
+    }
+    ...
+]
+```
+
+#### Markdown Example
+
+```
+| Timestamp           | Fractional Year | CO2 (ppm) | Standard Deviation (ppm) |
+|---------------------|-----------------|-----------|---------------------------|
+| 2021-07-02T15:21:59Z | 2021.500384291  | 417.8     | 0.041                     |
+| 2021-07-04T15:22:01Z | 2021.5058638064 | 416.95    | 0.041                     |
+...
+```
+
+## Requirements
+
+- Python 3.x
+- `pandas` library for data manipulation
+
+## How to Use
+To process a new raw data file, navigate to the respective folder and run the Python script, for example:
+
+```python flask_monthly.py```
+
+This will produce the necessary CSV, JSON, JSON (no NaN), and Markdown files in the same folder.
+
+## Linting Compliance
+The Python scripts in this repository are `pylint` **compliant**. This ensures that the code follows best practices for readability,
+maintainability, and style according to PEP8 standards. For consistent results, ensure that `pylint` is installed:
+
+```pip install pylint```
+
+To run `pylint` on a script, use, for example:
+
+```pylint insitu-hourly.py```
+
+## License and Citation
+All data files are in the public domain under the **Creative Commons Zero (CC0) 1.0 Universal Public Domain Dedication**. Please see the `LICENSE` file in this repository for more information.
+