sediments | R Documentation |
This data is from AQUAeD, a project at NMBU. Seafloor sediments from 12 selected sites along the Norwegian coast have been collected. Their prokaryotic composition were estimated by amplicon sequencing and subsequent bioinformatic analysis.
sediments
A data frame with 12 observations (rows) and 4113 variables (columns).
Column name | Data type | Description | Values | |
[,1] | Environment | character | Samples from 2 types of seafloor sediments | (Polluted, Natural) |
[,2:4113] | Aaosphaeria...Zymoseptoria | numeric | Abundance of the various prokaryotic genera | (1 - 1475584) |
The columns sediments[, 2:4113]
are actual read-counts for various
prokaryotic genera. A larger value means a larger abundance, but sequencing
depth (total read-count) varies between the samples (rows).
See sediments
for the CLR-transformed data.
The data is from the AQUAeD project (On-site monitoring of aquaculture impact on the environment by open-source nanopore eDNA analysis), a collaboration with NMBU, Institite of Marine Research (Havforskningsinstituttet), Akvaplan-niva, STIM, and Aquakompetanse AS.
Information of the AQUAeD project can be found here.
# A short summary of some of the variables
summary(sediments[, c(1, 100, 200, 300, 400, 500)])
# Boxplots for the abundance of Acephala and Aeromonas
par(mfrow = c(1, 2))
boxplot(Acephala ~ Environment, data = sediments_raw,
col = c("sienna4", "tomato1"),
main = "Acephala", ylab = "Abundance")
boxplot(Aeromonas ~ Environment, data = sediments_raw,
col = c("sienna4", "tomato1"),
main = "Aeromonas", ylab = "Abundance")
# Reset to default settings
par(mfrow = c(1, 1))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.