1. Batch Uploads In the ODM Using Worldwater.byu.edu
A Yellowstone Trophic State Data Preservation Project
Ben Thompson Jeff Sadler Derek Whitman

2. Introduction
Currently uploads are accomplished through two general methods. The first one is to upload a csv file with a specific format for any single site with a single source for one single type of variable with many values for different times. The second it to upload data using forms provided within the site. In both of these methods the site, source, and variable type must already be created within the ODM for the data entries to work.
The goal of this project was to improve the way data is uploaded to the ODM through HydroServer Interactive by creating a csv file upload routine which will process multiple points in multiple sites and multiple data types as well as create new sites when needed.
For the sake of simplicity, the project scope was limited to a single database within the ODM using a single source.

3. Background and Gaps Single, Multiple
CSV (only one site, variable, and source)
Many people have data in spreadsheets

4. Gathering Data
Dr. Woodruf Miller from BYU has been gathering data from surveys of the lakes in Yellowstone National Park and Teton National Park for the last 10 years or so. This data includes phosphorus content, chlorophyl content, and sechi depths of lakes. These data have been used to calculate trophic state indexies of the lakes using different trophic state index calculation methods. The flow rates of inlets and outlets of several of the lakes are also included in survey data.

5. Formatting and Organizing the Data

6. Formatting and Organizing the Data
Total Phosphorus (ppb)
Total Phosphorus (mg/L)
Flow (cfs)
Hydraulic Residence Time (yrs)
Phosphorus Retention Coef.
Primary Production
Carlson TSI
Burns TLI
Naumann TI
Site Year Month Location Lat Lon Secchi Depth Chlorophyll-a (mg/m^3)

7. Creating the Batch Upload
Three Main Parts
HTML
PHP
Python

8. HTML

9. HTML

10. PHP Successfully upload the file to a known location on the server
Two Main Objectives
Successfully upload the file to a known location on the server
Run the Python script

11. PHP
Uploading the File

12. Running the Python Script
PHP
Running the Python Script

13. Function to get Variable ID
Python
Three Components
Main script
Function to get Site ID
Function to get Variable ID

14. Overview HTML PHP Upload/Save Run Python Python Ajax check
Send printed messages
PHP 2
Create Connection
Input Data
Update Series Catalog
Get Variable ID
Go to new data row
Go to new data value
Get Site ID

15. Results 116 sites 3700+ data values
New consistent format for recording survey data
Massive time savings

16. Results

17. Conclusion
Usefulness of tools like Python Data can be easily shared (CUAHSI HIS) Future batch uploads Improvements- sources and variables