NEON_PRIN_5min_cleaned: Anomaly removed data for water quality variables aggregated...
In PuwasalaG/conduits: CONDitional UI for Time Series normalisation
NEON_PRIN_5min_cleaned R Documentation
Anomaly removed data for water quality variables aggregated at 5-minute intervals
from Pringle Creek, Texas.
Description
NEON_PRIN_5min_cleaned consists anomaly removed data for water quality variables
from upstream and downstream sensors in Pringle Creek in Texas for the period
spanning from 2019-07-01 to 2019-12-31 aggregated at 5-minute intervals.
Usage
NEON_PRIN_5min_cleaned
Format
A data frame with water-quality variables, level and temperature
data:
TimestampTimestamp
sitesite position
conductancespecific conductance
dissolvedOxygendissolved oxygen
pHpH
chlorophyllchlorophyll
turbidityturbidity
fDOMfDOM
levelelevation of surface water
temperaturetemperature in surface water
PuwasalaG/conduits documentation built on April 22, 2023, 3:40 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| NEON_PRIN_5min_cleaned | R Documentation |
Anomaly removed data for water quality variables aggregated at 5-minute intervals from Pringle Creek, Texas.
Description
NEON_PRIN_5min_cleaned consists anomaly removed data for water quality variables from upstream and downstream sensors in Pringle Creek in Texas for the period spanning from 2019-07-01 to 2019-12-31 aggregated at 5-minute intervals.
Usage
NEON_PRIN_5min_cleaned
Format
A data frame with water-quality variables, level and temperature data:
TimestampTimestamp
sitesite position
conductancespecific conductance
dissolvedOxygendissolved oxygen
pHpH
chlorophyllchlorophyll
turbidityturbidity
fDOMfDOM
levelelevation of surface water
temperaturetemperature in surface water
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.