Dataset: Weekly barnacle settlement 2014-2017

Name: Weekly barnacle settlement data collected at Bird Rock, La Jolla, CA, 2014-2017
Published: 2018-08-20
Keywords: biota, oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.743826.1

Spatial Extent: N:32.81 E:-117.2695 S:32.81 W:-117.2695

Temporal Extent: 2014-04-30 - 2017-06-19

Project:

Nearshore larval transport: physical and biological processes (Nearshore larval transport)

RAPID: Nearshore settlement and hydrodynamics in Southern California during El Nino, and the transition to normal ocean conditions: boom and bust? (RAPID_Settlement_Hydrodynamics)

Principal Investigator:

Nathalie Reyns (University of San Diego, USD)

Co-Principal Investigator:

Steven J. Lentz (Woods Hole Oceanographic Institution, WHOI)

Jesus Pineda (Woods Hole Oceanographic Institution, WHOI)

Contact:

Nathalie Reyns (University of San Diego, USD)

BCO-DMO Data Manager:

Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2018-08-20

Restricted:

Release Date:

2020-08-10

Validated:

Yes

Current State:

Final no updates expected

Weekly barnacle settlement data collected at Bird Rock, La Jolla, CA, 2014-2017

Abstract:

Barnacle larvae daily settlement rates, weekly average and predicted weekly average of daily settlement. From settlement plates deployed at Bird Rock, La Jolla, CA in the southern California nearshore from April 2014 to June 2016.

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2018-08-20	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.743826.1	2020-08-10

Description

Methods & Sampling

Settlement plates were collected daily and weekly at Bird Rock, La Jolla and processed as described in Pineda et al. (2018).

Averages of daily data were calculated to get weekly data; for dates when only weekly settlement data existed, used regression analysis explained in Pineda et al. 2018 to predict daily data from weekly data, then took those averages to get predicted weekly average of daily settlement

Weekly average of daily settlement figure: showing weekly average of daily settlement data, and predicted daily averaged weekly data from regression. (pdf)

Data Processing Description

BCO-DMO data manager processing notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- reduced number of digits to right of decimal from 5 to 3 places for all settlement rates
- re-formatted date from m/d/yyyy to yyyy-mm-dd
- changed '--' and blank cells to 'nd' for no data

Data Files

File
larval_weekly_settle.csv (Comma Separated Values (.csv), 2.85 KB) MD5:f4db992318972be2c30c54bed5521598 Primary data file for dataset ID 743826

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1630459
NSF Division of Ocean Sciences	OCE-1630474
NSF Division of Ocean Sciences	OCE-1357290
NSF Division of Ocean Sciences	OCE-1357327

Deployments

None available yet

Instruments

Grooved PVC half-pipe substrate

Supplied Name:

Supplied Description:

Instrument Type

Generic Name: Grooved PVC half-pipe substrate

Generic Description:

An artificial colonization substrate (or "settlment plate") made from PVC pipe cut length-wise and engraved with lines to roughen its surface. It is used to determine the extent of colonization and/or the diversity of settled organisms in a marine or artificial environment.

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
date_settle_actual	date of actual larval settlement	unitless	date
weekly_avg_daily_settle_actual	actual weekly average of daily larval settlement rate	larvaecm^2day-1	no_bcodmo_term
date_settle_predicted	date of predicted larval settlement	unitless	date
weekly_avg_daily_settle_predicted	predicted weekly average of daily larval settlement rate	larvaecm^2day-1	no_bcodmo_term

Status message

Database

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Dataset: Weekly barnacle settlement 2014-2017