This readme.txt file was generated on 20250409 by D.E. Sandborn
Recommended citation for the data: Sandborn et al. In review.


-------------------
GENERAL INFORMATION
-------------------


1. Title of Dataset 

Lake Superior inorganic carbon cycling reconstruction 2019-2023

2. Author Information


  Principal Investigator Contact Information
        Name: Daniel E. Sandborn
           Institution: School of Oceanography, University of Washington, Seattle, WA, USA
           Address: 1503 NE Boat Street, Seattle, WA 98195
           Email: sandborn@uw.edu
	   ORCID: 0000-0001-9653-2287

  Associate or Co-investigator Contact Information
        Name: 
           Institution: Large Lakes Observatory, University of Minnesota Duluth, Duluth, MN, USA
           Address: 2205 E 5th St, Duluth, MN 55812
           Email: eminor@d.umn.edu
	   ORCID: 0000-0001-6930-9338

  Associate or Co-investigator Contact Information
        Name: 
           Institution: Large Lakes Observatory, University of Minnesota Duluth, Duluth, MN, USA
           Address: 2205 E 5th St, Duluth, MN 55812
           Email: jaustin@d.umn.edu
	   ORCID: 0000-0002-3580-1794


3. Date published or finalized for release: 20240409

4. Date of data collection (single date, range, approximate date) 20190112-20231231

5. Geographic location of data collection (where was data collected?):  Lake Superior

6. Information about funding sources that supported the collection of the data: 

NSF: OCE-PO-1829895

7. Overview of the data (abstract): 

A gap-filling reconstruction}of Lake Superior pCO2 was trained on underway observations utilizing machine learning regression. The output fields in this repository are accompany the publication "A neural network-based estimate of the seasonal to inter-annual variability of the Lake Superior carbon cycle" by Sandborn et al. In review.


--------------------------
SHARING/ACCESS INFORMATION
-------------------------- 


1. Licenses/restrictions placed on the data: None

2. Links to publications that cite or use the data: Sandborn et al. In review.

3. Was data derived from another source?
           If yes, list source(s):

4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/policies/#drum-terms-of-use




---------------------
DATA & FILE OVERVIEW
---------------------


1. File List
   A. Filename:       regression_output.nc 
      Short description:        A netCDF-4 file containing daily mean pCO2 and CO2 air-lake flux fields produced by this work, describing Lake Superior with a spatial resolution of 0.02 degrees over 2019-2023.

   B. Filename:        winter_mooring.csv
      Short description:        Data from a mooring deployment in Lake Superior in 2022-2023. This data was used for validation of the reconstruction output.
        
   C. Filename:        bottles.csv
      Short description:        Results of chemical analyses of water samples from Lake Superior. This data was used for validation of the reconstruction output.


2. Relationship between files:        

Each file was used to produce the associated publication Sandborn et al. In review.

--------------------------
METHODOLOGICAL INFORMATION
--------------------------

Methodology is described in detail in the associated publication.