diff --git a/DESCRIPTION b/DESCRIPTION
index 39e05c01d6a61aae5fbcda85002c0b927cde6b19..c872f2288215861fb5f1b3fd38f3b534696ace0f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -48,6 +48,7 @@ Collate:
     'getWQPData.r'
     'retrieveUnitNWISData.r'
     'getRawQWData.r'
+    'retrieveNWISqwData.r'
     'processQWData.r'
 Depends:
     R (>= 2.15.0),
diff --git a/NAMESPACE b/NAMESPACE
index ccf192630eac3b66b63e776450b02da2bff4328f..0d763b0fd784647f2e0be08c17259470ffa504f5 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -25,6 +25,7 @@ export(populateSiteINFO)
 export(processQWData)
 export(removeDuplicates)
 export(retrieveNWISData)
+export(retrieveNWISqwData)
 export(retrieveUnitNWISData)
 export(formatCheckDate)
 export(checkStartEndDate)
diff --git a/inst/doc/Rplots.pdf b/inst/doc/Rplots.pdf
index fae910beddbb0c1420d8e40d77b551a44c7a643e..7285c41a9ddffcf938bf8e33bdafdcc4279c7790 100644
Binary files a/inst/doc/Rplots.pdf and b/inst/doc/Rplots.pdf differ
diff --git a/inst/doc/dataRetrieval-concordance.tex b/inst/doc/dataRetrieval-concordance.tex
index c7609fa3302d2c2d931302846122e69b4b3d7338..207689982033dc26f92213225fe925f39a89507f 100644
--- a/inst/doc/dataRetrieval-concordance.tex
+++ b/inst/doc/dataRetrieval-concordance.tex
@@ -1,13 +1,13 @@
 \Sconcordance{concordance:dataRetrieval.tex:dataRetrieval.Rnw:%
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-0 2 1 1 2 1 0 1 4 6 0 2 2 10 0 1 2 3 1 1 5 7 0 1 2 3 1 1 -5 1 9 10 1 1 %
-2 1 0 1 2 1 0 2 1 1 3 4 0 1 2 3 1 1 5 37 0 1 2 3 1 1 3 2 0 1 1 7 0 1 2 %
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-1 2 1 1 29 0 1 2 2 1 1 10 18 0 1 2 8 1 1 3 2 0 1 1 28 0 1 2 2 1 1 10 20 %
-0 1 2 7 1 1 14 12 0 1 2 7 1 1 2 17 0 1 3 7 1 1 2 4 0 1 2 2 1 1 5 27 0 1 %
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-1 1 1 2 4 0 1 2 22 1}
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diff --git a/inst/doc/dataRetrieval-fig1.pdf b/inst/doc/dataRetrieval-fig1.pdf
index 61919310ccb773070876660c1837751912b6ab10..6fb3d4edcc9e0414580dfce9604659ebd6e0ecf5 100644
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diff --git a/inst/doc/dataRetrieval-fig2.pdf b/inst/doc/dataRetrieval-fig2.pdf
index a17f642fdb300a78de521ff0a29d635b21c8f578..bf3474e1c7a45bc7a40d6723dbffac300e229b1c 100644
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diff --git a/inst/doc/dataRetrieval-fig3.pdf b/inst/doc/dataRetrieval-fig3.pdf
index d1a4520ab2b06dee7b24712ea5840e5094d5954b..bed84055de8148bb20da558460fb727d69e5ffb1 100644
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diff --git a/inst/doc/dataRetrieval.Rnw b/inst/doc/dataRetrieval.Rnw
index efd32c9f106268f650f27f768db3b4ba69764a2c..a89c773889a611c620a0311f9dd5f29490c3ae0a 100644
--- a/inst/doc/dataRetrieval.Rnw
+++ b/inst/doc/dataRetrieval.Rnw
@@ -126,18 +126,8 @@ siteNumber <- "01491000"
 ChoptankInfo <- getSiteFileData(siteNumber)
 @
 
+A list of the available columns are found in Appendix 2: INFO dataframe. Pulling out a specific example piece of information, in this case station name can be done as follows:
 
-<<label=tableSiteInfo, echo=FALSE,results=tex>>=
-
-infoDF <- data.frame(ColumnNames=names(ChoptankInfo[1:11]),ColumnNames=names(ChoptankInfo[12:22]),
-                     ColumnNames=names(ChoptankInfo[23:33]),ColumnNames=names(c(ChoptankInfo[34:43],"")))
-data.table <- xtable(infoDF,
-                     caption="Column names in ChoptankInfo")
-print(data.table, caption.placement="top",floating="FALSE",latex.environments=NULL)
-@
-\\*
-
-Pulling out a specific example piece of information, in this case station name can be done as follows:
 <<siteNames, echo=TRUE>>=
 ChoptankInfo$station.nm
 @
@@ -215,6 +205,7 @@ with(temperatureAndFlow, plot(
   ))
 axis(4,col="red",col.axis="red")
 mtext("Discharge [cfs]",side=4,line=3,col="red")
+title(paste(ChoptankInfo$station.nm,"2012",sep=" "))
 @
 \newpage
 
@@ -236,8 +227,8 @@ There are occasions where NWIS values are not reported as numbers, instead there
 %------------------------------------------------------------
 We can also get real-time, instantaneous measurements using the retrieveUnitNWISData function:
 <<label=getNWISUnit, echo=TRUE>>=
-siteNumber <- "01491000" # Site ID for Choptank River near Greensboro, MD
-parameterCd <- "00060"  # Discharge in cubic feet per second
+siteNumber <- "01491000"
+parameterCd <- "00060"  # Discharge (cfs)
 startDate <- as.character(Sys.Date()-1) # Yesterday 
   # (or, the day before the dataRetrieval package was built)
 endDate <- as.character(Sys.Date()) # Today 
@@ -259,6 +250,7 @@ with(dischargeToday, plot(
   datetime, X02_00060,
   ylab="Discharge [cfs]",xlab=""
   ))
+title(ChoptankInfo$station.nm)
 @
 \newpage
 
@@ -289,17 +281,8 @@ dissolvedNitrate <- getRawQWData(siteNumber, parameterCd,
       startDate, endDate)
 @
 
-There is a large amount of data returned for each observation. The column names are listed below:
+There is a large amount of data returned for each observation. The column names are listed in Appendix 2.
 
-
-<<label=colNamesQW, echo=FALSE,results=tex>>=
-infoDF <- data.frame(ColumnNames=names(dissolvedNitrate[1:31]),ColumnNames=names(dissolvedNitrate[32:62]))
-data.table <- xtable(infoDF,
-                     caption="Column names in dissolvedNitrate")
-print(data.table, caption.placement="top",floating="FALSE",latex.environments=NULL)
-@
-
-\\*
 To get a simplified dataframe that contains only datetime, value, and qualifier, use the function getQWData:
 
 <<label=getQWData, echo=TRUE>>=
@@ -317,6 +300,7 @@ with(dissolvedNitrateSimple, plot(
   xlab="Date",ylab = paste(parameterINFO$srsname,
       "[",parameterINFO$parameter_units,"]")
   ))
+title(ChoptankInfo$station.nm)
 @
 
 \begin{figure}
@@ -347,6 +331,17 @@ Rather than using the raw data as retrieved by the web, the dataRetrieval packag
 
 In this section, we use 3 dataRetrieval functions to get sufficient data to perform an EGRET analysis.  We will continue analyzing the Choptank River. We will need essentially the same data that was retrieved in the previous section, but we will get the daily discharge values in a dataframe called Daily, the nitrate sample data in a dataframe called Sample, and the data about the station and parameters in a dataframe called INFO. These are the dataframes that were exclusively designed to work with the EGRET R package, however can be very useful for all hydrologic studies.
 
+%------------------------------------------------------------
+\subsection{INFO Data}
+%------------------------------------------------------------
+The function to obtain "metadata", data about the gage station and measured parameters is getMetaData. This function essentially combines getSiteFileData and getParameterInfo, producing one dataframe called INFO.
+
+<<ThirdExample>>=
+INFO <-getMetaData(siteNumber,parameterCd, interactive=FALSE)
+@
+
+Column names in the INFO dataframe are listed in Appendix 2.
+
 %------------------------------------------------------------
 \subsection{Daily Data}
 %------------------------------------------------------------
@@ -439,27 +434,21 @@ getPreLoadedSampleData(DF)
 
 @
 
-
-
 %------------------------------------------------------------
-\subsection{INFO Data}
+\subsection{Merge Report}
 %------------------------------------------------------------
-The function to obtain "metadata", data about the gage station and measured parameters is getMetaData. This function essentially combines getSiteFileData and getParameterInfo, producing one dataframe called INFO.
-
-<<ThirdExample>>=
-INFO <-getMetaData(siteNumber,parameterCd, interactive=FALSE)
-@
+Finally, there is a function called mergeReport that will look at both the Daily and Sample dataframe, and populate Q and LogQ columns into the Sample dataframe. The default arguments are Daily and Sample, however if you want to use other similarly structured dataframes, you can specify localDaily or localSample.
 
-Column names in the INFO dataframe are listed below:
-
-<<label=colNamesQW, echo=FALSE,results=tex>>=
-infoDF <- data.frame(ColumnNames=names(INFO[1:21]),ColumnNames=names(c(INFO[22:41],"")))
-data.table <- xtable(infoDF,
-                     caption="Column names in the INFO dataframe")
-print(data.table, caption.placement="top",floating="FALSE",latex.environments=NULL)
+<<mergeExample>>=
+startDate <-'1985-01-01' 
+endDate <- '1985-03-31'
+site <- '01594440'
+Daily <- getDVData(site,'00060', startDate, endDate, interactive=FALSE)
+Sample <- getSampleData(site,'01075', startDate, endDate, interactive=FALSE)
+Sample <- mergeReport()
+head(Sample)
 @
 
-\\*
 
 
 \newpage
@@ -582,9 +571,47 @@ To then open the library, simply type:
 library(dataRetrieval)
 @
 
-\newpage
+
+%------------------------------------------------------------ 
+\section{Appendix 2: Columns Names}
+%------------------------------------------------------------ 
+%------------------------------------------------------------
+\subsection{INFO dataframe}
+%------------------------------------------------------------
+
+<<label=colNamesQW, echo=FALSE,results=tex>>=
+infoDF <- data.frame(ColumnNames=names(INFO))
+data.table <- xtable(infoDF,
+                     caption="Column names in the INFO dataframe")
+print(data.table, caption.placement="top",floating="FALSE",latex.environments=NULL,include.rownames=FALSE,include.colnames=FALSE)
+@
+
+\\*
 
 
+%------------------------------------------------------------
+\subsection{Water Quality Portal}
+%------------------------------------------------------------
+There are 62 columns returned from the water quality portal. 
+
+<<label=colNamesQW, echo=FALSE,results=tex>>=
+infoDF <- data.frame(ColumnNames=names(dissolvedNitrate[1:40]))
+data.table <- xtable(infoDF,
+                     caption="Column names in dissolvedNitrate")
+print(data.table, caption.placement="top",floating="FALSE",latex.environments=NULL,
+      include.rownames=FALSE,include.colnames=FALSE)
+@
+\\*
+\newpage
+<<label=colNamesQW2, echo=FALSE,results=tex>>=
+infoDF <- data.frame(ColumnNames_Continued=names(dissolvedNitrate[41:62]))
+data.table <- xtable(infoDF,
+                     caption="Column names in dissolvedNitrate")
+print(data.table, caption.placement="top",floating="FALSE",latex.environments=NULL,
+      include.rownames=FALSE,include.colnames=FALSE)
+@
+\\*
+\newpage
 %------------------------------------------------------------
 % BIBLIO
 %------------------------------------------------------------
diff --git a/inst/doc/dataRetrieval.log b/inst/doc/dataRetrieval.log
index b8833590faa3c5022e267f5bc306e4ca8a4864ab..b9cbb4a336b39fafd80b98fd57ca7c77ea3800d0 100644
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diff --git a/inst/doc/dataRetrieval.pdf b/inst/doc/dataRetrieval.pdf
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index 6847e80296ff17bfe7ecc8cf7b34ee79a2e6df66..d763f0d7d0366afbcac3938fcaa91d3f66d211a0 100644
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+++ b/inst/doc/dataRetrieval.tex
@@ -79,7 +79,7 @@ Once the site-ID is known, the next required input for USGS data retrievals is t
 
 
 % latex table generated in R 2.15.2 by xtable 1.7-0 package
-% Thu Feb 14 17:09:15 2013
+% Fri Feb 15 11:39:15 2013
 \begin{table}[ht]
 \begin{center}
 \caption{Commonly found USGS Parameter Codes}
@@ -102,7 +102,7 @@ For real-time data, the parameter code and site ID will suffice.  The USGS store
 
 The most common stat codes are:
 % latex table generated in R 2.15.2 by xtable 1.7-0 package
-% Thu Feb 14 17:09:16 2013
+% Fri Feb 15 11:39:15 2013
 \begin{table}[ht]
 \begin{center}
 \caption{Commonly found USGS Stat Codes}
@@ -132,28 +132,8 @@ To obtain all of the available site information, use the getSiteFileData functio
 \end{Sinput}
 \end{Schunk}
 
+A list of the available columns are found in Appendix 2: INFO dataframe. Pulling out a specific example piece of information, in this case station name can be done as follows:
 
-% latex table generated in R 2.15.2 by xtable 1.7-0 package
-% Thu Feb 14 17:09:16 2013
-\begin{tabular}{rllll}
-  \hline
- & ColumnNames & ColumnNames.1 & ColumnNames.2 & ColumnNames.3 \\ 
-  \hline
-1 & agency.cd & dec.coord.datum.cd & alt.datum.cd & reliability.cd \\ 
-  2 & site.no & district.cd & huc.cd & gw.file.cd \\ 
-  3 & station.nm & state.cd & basin.cd & nat.aqfr.cd \\ 
-  4 & site.tp.cd & county.cd & topo.cd & aqfr.cd \\ 
-  5 & lat.va & country.cd & instruments.cd & aqfr.type.cd \\ 
-  6 & long.va & land.net.ds & construction.dt & well.depth.va \\ 
-  7 & dec.lat.va & map.nm & inventory.dt & hole.depth.va \\ 
-  8 & dec.long.va & map.scale.fc & drain.area.va & depth.src.cd \\ 
-  9 & coord.meth.cd & alt.va & contrib.drain.area.va & project.no \\ 
-  10 & coord.acy.cd & alt.meth.cd & tz.cd & queryTime \\ 
-  11 & coord.datum.cd & alt.acy.va & local.time.fg &  \\ 
-   \hline
-\end{tabular}\\*
-
-Pulling out a specific example piece of information, in this case station name can be done as follows:
 \begin{Schunk}
 \begin{Sinput}
 > ChoptankInfo$station.nm
@@ -257,6 +237,7 @@ An example of plotting the above data (Figure 1):
    ))
 > axis(4,col="red",col.axis="red")
 > mtext("Discharge [cfs]",side=4,line=3,col="red")
+> title(paste(ChoptankInfo$station.nm,"2012",sep=" "))
 \end{Sinput}
 \end{Schunk}
 \newpage
@@ -278,8 +259,8 @@ There are occasions where NWIS values are not reported as numbers, instead there
 We can also get real-time, instantaneous measurements using the retrieveUnitNWISData function:
 \begin{Schunk}
 \begin{Sinput}
-> siteNumber <- "01491000" # Site ID for Choptank River near Greensboro, MD
-> parameterCd <- "00060"  # Discharge in cubic feet per second
+> siteNumber <- "01491000"
+> parameterCd <- "00060"  # Discharge (cfs)
 > startDate <- as.character(Sys.Date()-1) # Yesterday 
 >   # (or, the day before the dataRetrieval package was built)
 > endDate <- as.character(Sys.Date()) # Today 
@@ -293,12 +274,12 @@ Which produces the following dataframe:
 \begin{Schunk}
 \begin{Soutput}
   agency_cd  site_no            datetime tz_cd X02_00060 X02_00060_cd
-1      USGS 01491000 2013-02-13 00:00:00   EST       209            P
-2      USGS 01491000 2013-02-13 00:15:00   EST       209            P
-3      USGS 01491000 2013-02-13 00:30:00   EST       211            P
-4      USGS 01491000 2013-02-13 00:45:00   EST       209            P
-5      USGS 01491000 2013-02-13 01:00:00   EST       206            P
-6      USGS 01491000 2013-02-13 01:15:00   EST       206            P
+1      USGS 01491000 2013-02-14 00:00:00   EST       197            P
+2      USGS 01491000 2013-02-14 00:15:00   EST       197            P
+3      USGS 01491000 2013-02-14 00:30:00   EST       202            P
+4      USGS 01491000 2013-02-14 00:45:00   EST       197            P
+5      USGS 01491000 2013-02-14 01:00:00   EST       197            P
+6      USGS 01491000 2013-02-14 01:15:00   EST       197            P
 \end{Soutput}
 \end{Schunk}
 
@@ -311,6 +292,7 @@ A simple plotting example is shown in Figure 2:
    datetime, X02_00060,
    ylab="Discharge [cfs]",xlab=""
    ))
+> title(ChoptankInfo$station.nm)
 \end{Sinput}
 \end{Schunk}
 \newpage
@@ -341,49 +323,8 @@ Finally, we can use the dataRetrieval package to get USGS water quality data tha
 \end{Sinput}
 \end{Schunk}
 
-There is a large amount of data returned for each observation. The column names are listed below:
-
+There is a large amount of data returned for each observation. The column names are listed in Appendix 2.
 
-% latex table generated in R 2.15.2 by xtable 1.7-0 package
-% Thu Feb 14 17:09:20 2013
-\begin{tabular}{rll}
-  \hline
- & ColumnNames & ColumnNames.1 \\ 
-  \hline
-1 & OrganizationIdentifier & CharacteristicName \\ 
-  2 & OrganizationFormalName & ResultSampleFractionText \\ 
-  3 & ActivityIdentifier & ResultMeasureValue \\ 
-  4 & ActivityTypeCode & ResultMeasure.MeasureUnitCode \\ 
-  5 & ActivityMediaName & MeasureQualifierCode \\ 
-  6 & ActivityMediaSubdivisionName & ResultStatusIdentifier \\ 
-  7 & ActivityStartDate & StatisticalBaseCode \\ 
-  8 & ActivityStartTime.Time & ResultValueTypeName \\ 
-  9 & ActivityStartTime.TimeZoneCode & ResultWeightBasisText \\ 
-  10 & ActivityEndDate & ResultTimeBasisText \\ 
-  11 & ActivityEndTime.Time & ResultTemperatureBasisText \\ 
-  12 & ActivityEndTime.TimeZoneCode & ResultParticleSizeBasisText \\ 
-  13 & ActivityDepthHeightMeasure.MeasureValue & PrecisionValue \\ 
-  14 & ActivityDepthHeightMeasure.MeasureUnitCode & ResultCommentText \\ 
-  15 & ActivityDepthAltitudeReferencePointText & USGSPCode \\ 
-  16 & ActivityTopDepthHeightMeasure.MeasureValue & ResultDepthHeightMeasure.MeasureValue \\ 
-  17 & ActivityTopDepthHeightMeasure.MeasureUnitCode & ResultDepthHeightMeasure.MeasureUnitCode \\ 
-  18 & ActivityBottomDepthHeightMeasure.MeasureValue & ResultDepthAltitudeReferencePointText \\ 
-  19 & ActivityBottomDepthHeightMeasure.MeasureUnitCode & SubjectTaxonomicName \\ 
-  20 & ProjectIdentifier & SampleTissueAnatomyName \\ 
-  21 & ActivityConductingOrganizationText & ResultAnalyticalMethod.MethodIdentifier \\ 
-  22 & MonitoringLocationIdentifier & ResultAnalyticalMethod.MethodIdentifierContext \\ 
-  23 & ActivityCommentText & ResultAnalyticalMethod.MethodName \\ 
-  24 & SampleAquifer & MethodDescriptionText \\ 
-  25 & HydrologicCondition & LaboratoryName \\ 
-  26 & HydrologicEvent & AnalysisStartDate \\ 
-  27 & SampleCollectionMethod.MethodIdentifier & ResultLaboratoryCommentText \\ 
-  28 & SampleCollectionMethod.MethodIdentifierContext & DetectionQuantitationLimitTypeName \\ 
-  29 & SampleCollectionMethod.MethodName & DetectionQuantitationLimitMeasure.MeasureValue \\ 
-  30 & SampleCollectionEquipmentName & DetectionQuantitationLimitMeasure.MeasureUnitCode \\ 
-  31 & ResultDetectionConditionText & PreparationStartDate \\ 
-   \hline
-\end{tabular}
-\\*
 To get a simplified dataframe that contains only datetime, value, and qualifier, use the function getQWData:
 
 \begin{Schunk}
@@ -408,6 +349,7 @@ An example of plotting the above data (Figure 3):
    xlab="Date",ylab = paste(parameterINFO$srsname,
        "[",parameterINFO$parameter_units,"]")
    ))
+> title(ChoptankInfo$station.nm)
 \end{Sinput}
 \end{Schunk}
 
@@ -448,6 +390,19 @@ Rather than using the raw data as retrieved by the web, the dataRetrieval packag
 
 In this section, we use 3 dataRetrieval functions to get sufficient data to perform an EGRET analysis.  We will continue analyzing the Choptank River. We will need essentially the same data that was retrieved in the previous section, but we will get the daily discharge values in a dataframe called Daily, the nitrate sample data in a dataframe called Sample, and the data about the station and parameters in a dataframe called INFO. These are the dataframes that were exclusively designed to work with the EGRET R package, however can be very useful for all hydrologic studies.
 
+%------------------------------------------------------------
+\subsection{INFO Data}
+%------------------------------------------------------------
+The function to obtain "metadata", data about the gage station and measured parameters is getMetaData. This function essentially combines getSiteFileData and getParameterInfo, producing one dataframe called INFO.
+
+\begin{Schunk}
+\begin{Sinput}
+> INFO <-getMetaData(siteNumber,parameterCd, interactive=FALSE)
+\end{Sinput}
+\end{Schunk}
+
+Column names in the INFO dataframe are listed in Appendix 2.
+
 %------------------------------------------------------------
 \subsection{Daily Data}
 %------------------------------------------------------------
@@ -493,7 +448,7 @@ The function to obtain the daily values (discharge in this case) is getDVData.
 Details of the Daily dataframe are listed below:
 
 % latex table generated in R 2.15.2 by xtable 1.7-0 package
-% Thu Feb 14 17:09:24 2013
+% Fri Feb 15 11:39:24 2013
 \begin{tabular}{rlll}
   \hline
  & ColumnName & Type & Description \\ 
@@ -556,7 +511,7 @@ The function to obtain sample data from the water quality portal is getSampleDat
 Details of the Sample dataframe are listed below:
 
 % latex table generated in R 2.15.2 by xtable 1.7-0 package
-% Thu Feb 14 17:09:25 2013
+% Fri Feb 15 11:39:25 2013
 \begin{tabular}{rlll}
   \hline
  & ColumnName & Type & Description \\ 
@@ -585,7 +540,7 @@ In a more complex situation, the Sample data frame will combine all of the measu
 As an example, let us say that in 2004 and earlier, we computed a total phosphorus (tp) as the sum of dissolved phosphorus (dp) and particulate phosphorus (pp). Form 2005 and onward, we have direct measurements of total phosphorus (tp). A small subset of this fictional data looks like this:
 
 % latex table generated in R 2.15.2 by xtable 1.7-0 package
-% Thu Feb 14 17:09:25 2013
+% Fri Feb 15 11:39:25 2013
 \begin{tabular}{rllrlrlr}
   \hline
  & cdate & rdp & dp & rpp & pp & rtp & tp \\ 
@@ -624,51 +579,40 @@ For the more complex example case, let us say dp is reported as <0.01 and pp is
 \end{Soutput}
 \end{Schunk}
 
-
-
 %------------------------------------------------------------
-\subsection{INFO Data}
+\subsection{Merge Report}
 %------------------------------------------------------------
-The function to obtain "metadata", data about the gage station and measured parameters is getMetaData. This function essentially combines getSiteFileData and getParameterInfo, producing one dataframe called INFO.
+Finally, there is a function called mergeReport that will look at both the Daily and Sample dataframe, and populate Q and LogQ columns into the Sample dataframe. The default arguments are Daily and Sample, however if you want to use other similarly structured dataframes, you can specify localDaily or localSample.
 
 \begin{Schunk}
 \begin{Sinput}
-> INFO <-getMetaData(siteNumber,parameterCd, interactive=FALSE)
+> startDate <-'1985-01-01' 
+> endDate <- '1985-03-31'
+> site <- '01594440'
+> Daily <- getDVData(site,'00060', startDate, endDate, interactive=FALSE)
+> Sample <- getSampleData(site,'01075', startDate, endDate, interactive=FALSE)
+> Sample <- mergeReport()
+\end{Sinput}
+\begin{Soutput}
+ Discharge Record is 90 days long, which is 0 years
+ First day of the discharge record is 1985-01-01 and last day is 1985-03-31
+ The water quality record has 1 samples
+ The first sample is from 1985-03-13 and the last sample is from 1985-03-13
+ Discharge: Minimum, mean and maximum 2.83 8.41 106
+ Concentration: Minimum, mean and maximum 1 1 1
+ Percentage of the sample values that are censored is 100 %
+\end{Soutput}
+\begin{Sinput}
+> head(Sample)
 \end{Sinput}
+\begin{Soutput}
+        Date ConcLow ConcHigh Uncen ConcAve Julian Month Day  DecYear MonthSeq
+1 1985-03-13      NA        1     0     0.5  49379     3  72 1985.195     1623
+      SinDY     CosDY      Q     LogQ
+1 0.9416344 0.3366373 5.2103 1.650637
+\end{Soutput}
 \end{Schunk}
 
-Column names in the INFO dataframe are listed below:
-
-% latex table generated in R 2.15.2 by xtable 1.7-0 package
-% Thu Feb 14 17:09:26 2013
-\begin{tabular}{rll}
-  \hline
- & ColumnNames & ColumnNames.1 \\ 
-  \hline
-1 & agency.cd & alt.datum.cd \\ 
-  2 & site.no & huc.cd \\ 
-  3 & station.nm & basin.cd \\ 
-  4 & site.tp.cd & topo.cd \\ 
-  5 & lat.va & construction.dt \\ 
-  6 & long.va & inventory.dt \\ 
-  7 & dec.lat.va & drain.area.va \\ 
-  8 & dec.long.va & contrib.drain.area.va \\ 
-  9 & coord.meth.cd & tz.cd \\ 
-  10 & coord.acy.cd & local.time.fg \\ 
-  11 & coord.datum.cd & reliability.cd \\ 
-  12 & dec.coord.datum.cd & project.no \\ 
-  13 & district.cd & queryTime \\ 
-  14 & state.cd & drainSqKm \\ 
-  15 & county.cd & staAbbrev \\ 
-  16 & country.cd & param.nm \\ 
-  17 & map.nm & param.units \\ 
-  18 & map.scale.fc & paramShortName \\ 
-  19 & alt.va & paramNumber \\ 
-  20 & alt.meth.cd & constitAbbrev \\ 
-  21 & alt.acy.va &  \\ 
-   \hline
-\end{tabular}
-\\*
 
 
 \newpage
@@ -832,9 +776,148 @@ To then open the library, simply type:
 \end{Sinput}
 \end{Schunk}
 
-\newpage
 
+%------------------------------------------------------------ 
+\section{Appendix 2: Columns Names}
+%------------------------------------------------------------ 
+%------------------------------------------------------------
+\subsection{INFO dataframe}
+%------------------------------------------------------------
 
+% latex table generated in R 2.15.2 by xtable 1.7-0 package
+% Fri Feb 15 11:39:26 2013
+\begin{tabular}{l}
+  \hline
+  \hline
+agency.cd \\ 
+  site.no \\ 
+  station.nm \\ 
+  site.tp.cd \\ 
+  lat.va \\ 
+  long.va \\ 
+  dec.lat.va \\ 
+  dec.long.va \\ 
+  coord.meth.cd \\ 
+  coord.acy.cd \\ 
+  coord.datum.cd \\ 
+  dec.coord.datum.cd \\ 
+  district.cd \\ 
+  state.cd \\ 
+  county.cd \\ 
+  country.cd \\ 
+  map.nm \\ 
+  map.scale.fc \\ 
+  alt.va \\ 
+  alt.meth.cd \\ 
+  alt.acy.va \\ 
+  alt.datum.cd \\ 
+  huc.cd \\ 
+  basin.cd \\ 
+  topo.cd \\ 
+  construction.dt \\ 
+  inventory.dt \\ 
+  drain.area.va \\ 
+  contrib.drain.area.va \\ 
+  tz.cd \\ 
+  local.time.fg \\ 
+  reliability.cd \\ 
+  project.no \\ 
+  queryTime \\ 
+  drainSqKm \\ 
+  staAbbrev \\ 
+  param.nm \\ 
+  param.units \\ 
+  paramShortName \\ 
+  paramNumber \\ 
+  constitAbbrev \\ 
+   \hline
+\end{tabular}
+\\*
+
+
+%------------------------------------------------------------
+\subsection{Water Quality Portal}
+%------------------------------------------------------------
+There are 62 columns returned from the water quality portal. 
+
+% latex table generated in R 2.15.2 by xtable 1.7-0 package
+% Fri Feb 15 11:39:26 2013
+\begin{tabular}{l}
+  \hline
+  \hline
+OrganizationIdentifier \\ 
+  OrganizationFormalName \\ 
+  ActivityIdentifier \\ 
+  ActivityTypeCode \\ 
+  ActivityMediaName \\ 
+  ActivityMediaSubdivisionName \\ 
+  ActivityStartDate \\ 
+  ActivityStartTime.Time \\ 
+  ActivityStartTime.TimeZoneCode \\ 
+  ActivityEndDate \\ 
+  ActivityEndTime.Time \\ 
+  ActivityEndTime.TimeZoneCode \\ 
+  ActivityDepthHeightMeasure.MeasureValue \\ 
+  ActivityDepthHeightMeasure.MeasureUnitCode \\ 
+  ActivityDepthAltitudeReferencePointText \\ 
+  ActivityTopDepthHeightMeasure.MeasureValue \\ 
+  ActivityTopDepthHeightMeasure.MeasureUnitCode \\ 
+  ActivityBottomDepthHeightMeasure.MeasureValue \\ 
+  ActivityBottomDepthHeightMeasure.MeasureUnitCode \\ 
+  ProjectIdentifier \\ 
+  ActivityConductingOrganizationText \\ 
+  MonitoringLocationIdentifier \\ 
+  ActivityCommentText \\ 
+  SampleAquifer \\ 
+  HydrologicCondition \\ 
+  HydrologicEvent \\ 
+  SampleCollectionMethod.MethodIdentifier \\ 
+  SampleCollectionMethod.MethodIdentifierContext \\ 
+  SampleCollectionMethod.MethodName \\ 
+  SampleCollectionEquipmentName \\ 
+  ResultDetectionConditionText \\ 
+  CharacteristicName \\ 
+  ResultSampleFractionText \\ 
+  ResultMeasureValue \\ 
+  ResultMeasure.MeasureUnitCode \\ 
+  MeasureQualifierCode \\ 
+  ResultStatusIdentifier \\ 
+  StatisticalBaseCode \\ 
+  ResultValueTypeName \\ 
+  ResultWeightBasisText \\ 
+   \hline
+\end{tabular}\\*
+\newpage
+% latex table generated in R 2.15.2 by xtable 1.7-0 package
+% Fri Feb 15 11:39:26 2013
+\begin{tabular}{l}
+  \hline
+  \hline
+ResultTimeBasisText \\ 
+  ResultTemperatureBasisText \\ 
+  ResultParticleSizeBasisText \\ 
+  PrecisionValue \\ 
+  ResultCommentText \\ 
+  USGSPCode \\ 
+  ResultDepthHeightMeasure.MeasureValue \\ 
+  ResultDepthHeightMeasure.MeasureUnitCode \\ 
+  ResultDepthAltitudeReferencePointText \\ 
+  SubjectTaxonomicName \\ 
+  SampleTissueAnatomyName \\ 
+  ResultAnalyticalMethod.MethodIdentifier \\ 
+  ResultAnalyticalMethod.MethodIdentifierContext \\ 
+  ResultAnalyticalMethod.MethodName \\ 
+  MethodDescriptionText \\ 
+  LaboratoryName \\ 
+  AnalysisStartDate \\ 
+  ResultLaboratoryCommentText \\ 
+  DetectionQuantitationLimitTypeName \\ 
+  DetectionQuantitationLimitMeasure.MeasureValue \\ 
+  DetectionQuantitationLimitMeasure.MeasureUnitCode \\ 
+  PreparationStartDate \\ 
+   \hline
+\end{tabular}\\*
+\newpage
 %------------------------------------------------------------
 % BIBLIO
 %------------------------------------------------------------
diff --git a/inst/doc/dataRetrieval.toc b/inst/doc/dataRetrieval.toc
index 2c9af635083c7d6250a1ce8983cc725f701b2268..1569bacd9907aecb8b3d96f625a7332bf6f2666a 100644
--- a/inst/doc/dataRetrieval.toc
+++ b/inst/doc/dataRetrieval.toc
@@ -1,22 +1,26 @@
 \select@language {american}
 \contentsline {section}{\numberline {1}Introduction to dataRetrieval}{2}{section.1}
 \contentsline {section}{\numberline {2}USGS Web Retrieval Examples}{2}{section.2}
-\contentsline {subsection}{\numberline {2.1}USGS Web Retrieval Introduction}{2}{subsection.2.1}
-\contentsline {subsection}{\numberline {2.2}USGS Site Information Retrievals}{3}{subsection.2.2}
+\contentsline {subsection}{\numberline {2.1}USGS Web Retrieval Introduction}{3}{subsection.2.1}
+\contentsline {subsection}{\numberline {2.2}USGS Site Information Retrievals}{4}{subsection.2.2}
 \contentsline {subsection}{\numberline {2.3}USGS Parameter Information Retrievals}{4}{subsection.2.3}
 \contentsline {subsection}{\numberline {2.4}USGS Daily Value Retrievals}{5}{subsection.2.4}
 \contentsline {subsection}{\numberline {2.5}USGS Unit Value Retrievals}{7}{subsection.2.5}
 \contentsline {subsection}{\numberline {2.6}USGS Water Quality Retrievals}{9}{subsection.2.6}
 \contentsline {subsection}{\numberline {2.7}Other Water Quality Retrievals}{11}{subsection.2.7}
-\contentsline {section}{\numberline {3}Polished Data: USGS Web Retrieval Examples}{12}{section.3}
-\contentsline {subsection}{\numberline {3.1}Daily Data}{12}{subsection.3.1}
-\contentsline {subsection}{\numberline {3.2}Sample Data}{13}{subsection.3.2}
-\contentsline {subsection}{\numberline {3.3}Complex Sample Data Example}{15}{subsection.3.3}
-\contentsline {subsection}{\numberline {3.4}INFO Data}{16}{subsection.3.4}
-\contentsline {section}{\numberline {4}Retrieving User-Generated Data Files}{18}{section.4}
-\contentsline {subsection}{\numberline {4.1}getDailyDataFromFile}{18}{subsection.4.1}
-\contentsline {subsection}{\numberline {4.2}getSampleDataFromFile}{19}{subsection.4.2}
-\contentsline {section}{\numberline {5}Appendix 1: Getting Started}{21}{section.5}
-\contentsline {subsection}{\numberline {5.1}New to R?}{21}{subsection.5.1}
-\contentsline {subsection}{\numberline {5.2}R User: Installing dataRetrieval from downloaded binary}{21}{subsection.5.2}
-\contentsline {subsection}{\numberline {5.3}R Developers: Installing dataRetrieval from gitHub}{22}{subsection.5.3}
+\contentsline {section}{\numberline {3}Polished Data: USGS Web Retrieval Examples}{11}{section.3}
+\contentsline {subsection}{\numberline {3.1}INFO Data}{11}{subsection.3.1}
+\contentsline {subsection}{\numberline {3.2}Daily Data}{12}{subsection.3.2}
+\contentsline {subsection}{\numberline {3.3}Sample Data}{13}{subsection.3.3}
+\contentsline {subsection}{\numberline {3.4}Complex Sample Data Example}{14}{subsection.3.4}
+\contentsline {subsection}{\numberline {3.5}Merge Report}{16}{subsection.3.5}
+\contentsline {section}{\numberline {4}Retrieving User-Generated Data Files}{17}{section.4}
+\contentsline {subsection}{\numberline {4.1}getDailyDataFromFile}{17}{subsection.4.1}
+\contentsline {subsection}{\numberline {4.2}getSampleDataFromFile}{18}{subsection.4.2}
+\contentsline {section}{\numberline {5}Appendix 1: Getting Started}{20}{section.5}
+\contentsline {subsection}{\numberline {5.1}New to R?}{20}{subsection.5.1}
+\contentsline {subsection}{\numberline {5.2}R User: Installing dataRetrieval from downloaded binary}{20}{subsection.5.2}
+\contentsline {subsection}{\numberline {5.3}R Developers: Installing dataRetrieval from gitHub}{21}{subsection.5.3}
+\contentsline {section}{\numberline {6}Appendix 2: Columns Names}{23}{section.6}
+\contentsline {subsection}{\numberline {6.1}INFO dataframe}{23}{subsection.6.1}
+\contentsline {subsection}{\numberline {6.2}Water Quality Portal}{24}{subsection.6.2}