Update README.md

README.md

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 # Maxwell.et.al.2018_SmallVolumeMPS
-Data used to create the journal article on performance, testing, and applications of small volume multiplexer. Folders are labeled according to the Section in which the data was included.
+Data used to create the journal article "A small volume multiplexed pumping system for automated, high frequency water chemistry measurements in volume-limited applications" on performance, testing, and applications of small volume MPS. Folders are labeled according to the Section in which the data was included.
 
-Sec.2.3.1 - CrossContaminationResults.xlsx is the results of the cross contamination testing for the MPS Sec. 2.3.1, testing contamination occurring within the cuvette occurring from previous sample volumes.
+Sec.2.3.1 - CrossContaminationResults.xlsx is the results of the cross contamination testing for the MPS Sec. 2.3.1, testing contamination occurring within the cuvette resulting from previous sample volumes.
 
 Sec.2.3.2 -SourceCont1.csv contains the results of the source contamination study, Sec. 2.3.2, testing contamination of separate sources of alternating concentrations.
 
 Sec.3.1 - Bioreactor.NO3.Injection_ForPaper.csv contains the data from the MPS experiment injecting KNO3 over 76 h into the lab bioreactor, and includes the R code used to generate figures for this data.
 
 Sec.3.2 - 3.29.2016Corrected.csv - 4.12.2016Corrected_3comp.csv contain data used to calculate NO3 removal kinetics in the lab bioreactor, and includes the R code used to calculate kinetics
 
-Sec.4.2_4.3 - KineticsData.csv files include the NO3 concentrations in stream mesocosms used to calculate kinetics and evaluate zero, first and efficiency loss models, and includes the R code used to calculate coefficients for each of the models.
+Sec.4.2_4.3 - KineticsData.csv files include the NO3 concentration time seires in stream mesocosms used to calculate kinetics and evaluate zero, first and efficiency loss models, and includes the R code used to calculate coefficients for each of the models.