reproducibleqm / nes Goto Github PK

• Change coordinates to lat long
• Create legends inside the plot
• Move title inside the plot (moving these inside the plot allows them to be stacked in a 2x3 plot later.
• log transform and plot the data

Create tables of summary statistics (mean, sd, n) for each region and lake type. The tables will be separated by physical, chemical, and loading variables.

I think we are getting close to a point where we can finalize the file structure of our data product. My initial thought is to move the files to a structure resembling:

|
|__archival_pdfs
|
|__supporting_data
|
|__raw_data
|	|	
|	|____474
|	|    |__100.csv
|	|    |__101.csv
|	|    |__...
|	|
|	|____475
|	|    |__100.csv		
|
|__parsed_data
|	|	
|	|____474
|
|	    |__100_clean.csv
|__merged_data
|	|	
|	|____474
|	    |__res.csv
|
|__qa_data
|	|	
|	|____474
|	    |__res_review.csv
|
|__analysis_scripts
|
|__nes_data.csv
|
|__README.md

Does anyone have any thoughts or suggestions on this?

Convert maps output

https://www.earth-system-science-data.net/for_authors/manuscript_preparation.html#cmsbox_8756

@dustinkincaid @nagelki4 @kingka21 @mill2735

Hey Everyone,

I ran my optical character recognition algorithm on the pdf yesterday in my first attempt at creating the full dataset. You can see the result at: https://raw.githubusercontent.com/jsta/nesR/master/vignettes/res.csv

• Add EPA methods and compare to current methods
• Add blurb about current EPA surveys

• Read articles that used NES data
• Draft text
• Edit text

Each of us needs to write something for this, so I'm assigning this to all those who currently have nothing in this section of the draft article

Here are some potential research questions:

• Are differences between the 2007 NLA and the NES related to specific factors?

• How do depth estimates compare with more recent depth model predictions?

• How does the NES compare with the 2012 NLA results?

Please add more below!

add a field "retention_time_units" to specify day/years?

There is a great list of data paper journals here: https://www.wiki.ed.ac.uk/display/datashare/Sources+of+dataset+peer+review

The only one I found that does not charge is:
http://www.earth-system-science-data.net/for_authors/article_processing_charges.html

The storet code for PDF 474, pg 93 was not correctly transcribed in the database. 27C! should be 27C1.

Should we use ggplot or base R?

Here's a ggplot mapping tutorial:
http://zevross.com/blog/2014/07/16/mapping-in-r-using-the-ggplot2-package/

After we have the MS finalized as a Google Doc, I think it would be a good idea to prepare our submission in LaTeX rather than MS Word given our reproducible and open science focus.

Is anyone willing to do this who is either interested in learning LaTeX (or already knowledgeable in LaTeX)? I can but I don't want to take away the opportunity from someone interested in learning. The process can be done in RStudio (http://keziamanlove.com/latex-in-rstudio/).

Hi all,

For some reason I'm having sync errors with csv's 476 and 477. I don't want to do anything with those, so I just shut down github desktop. Is anyone else having issues when the sync?

• Ryan

In the csv compiling script, add line to change sechhi to secchi