## ----warning=FALSE, eval=FALSE------------------------------------------------
# library(dataone)
# cn <- CNode("PROD")
# mn <- getMNode(cn, "urn:node:KNB")
# mySearchTerms <- list(q="abstract:salmon+AND+keywords:acoustics+AND+keywords:\"Oncorhynchus nerka\"",
#                       fl="id,title,dateUploaded,abstract,size",
#                       fq="dateUploaded:[2013-01-01T00:00:00.000Z TO 2014-01-01T00:00:00.000Z]",
#                       sort="dateUploaded+desc")
# result <- query(mn, solrQuery=mySearchTerms, as="data.frame")
# result[1,c("id", "title")]
# pid <- result[1,'id']

## ----warning=FALSE, eval=FALSE------------------------------------------------
# library(XML)
# metadata <- rawToChar(getObject(mn, pid))

## ----warning=FALSE, eval=FALSE------------------------------------------------
# dataRaw <- getObject(mn, "df35d.443.1")
# dataChar <- rawToChar(dataRaw)
# theData <- textConnection(dataChar)
# df <- read.csv(theData, stringsAsFactors=FALSE)
# df[1,]

## ----warning=FALSE,eval=FALSE-------------------------------------------------
# library(datapack)
# library(uuid)
# d1c <- D1Client("STAGING", "urn:node:mnStageUCSB2")
# id <- paste("urn:uuid:", UUIDgenerate(), sep="")
# testdf <- data.frame(x=1:10,y=11:20)
# csvfile <- paste(tempfile(), ".csv", sep="")
# write.csv(testdf, csvfile, row.names=FALSE)
# # Build a DataObject containing the csv, and upload it to the Member Node
# d1Object <- new("DataObject", id, format="text/csv", filename=csvfile)

## ----warning=FALSE, eval=FALSE------------------------------------------------
# uploadDataObject(d1c, d1Object, public=TRUE)