rst_catch.Rd
Dataset containing rst catch monitoring data for all SR JPE tribuatary and mainstem monitoring programs.
rst_catch
A dataframe with 511,961 rows and 14 columns
date
: date
stream
: Stream RST is located on
site
: Site RST is located on
subsite
: Specific trap site
site_group
: Site group, used to separate traps within the same stream that have unique environmental conditions.
count
: Number of fish caught
run
: Run of catch
life_stage
: Life Stage of catch, standardized based on FL (fork lenght < 45mm = "fry", fork length > 45mm and < yearling cutoff == "smolt")
adipose_clipped
: Boolean value describing if adipose is clipped on catch
dead
: Mortality status of catch
fork_length
: Fork length measure of catch in mm
weight
: Weight of catch in grams
actual_count
: Boolean Value describing if count is actual value or interpolated
species
: Species of catch
Raw datasets and original documentation of data processing and QC process can be found for each stream using the links below.
Battle Creek: Data on EDI, Original Data Exploration Script. Additional data exploration scripts are located in GitHub.
Butte Creek: Data on EDI, Original Data Exploration Script. Additional data exploration scripts are located in GitHub.
Clear Creek: Data on EDI, Original Data Exploration Script. Additional data exploration scripts are located in GitHub.
Deer Creek: Data on EDI, Original Data Exploration Script. Additional data exploration scripts are located in GitHub.
Feather River: Data on EDI, Original Data Exploration Script. Additional data exploration scripts are located in GitHub.
Mill Creek: Data on EDI, Original Data Exploration Script. Additional data exploration scripts are located in GitHub.
Sacramento River:
Knights Landing: Data on EDI, Original Data Exploration Script. Additional data exploration scripts are located in GitHub.
Tisdale: Data on EDI, Original Data Exploration Script. Additional data exploration scripts are located in GitHub.
Delta Entry: Data on EDI.
Yuba River: Data on EDI, Original Data Exploration Script. Additional data exploration scripts are located in GitHub.