Inorganic nutrients (NO3, NO2, PO4, SiOH4) from the PICO time-series station (34.7181 deg N, 76.6707 deg W) from 2010-2012 (PICO project)

Website: https://www.bco-dmo.org/dataset/4033
Version: 03 Sept 2013
Version Date: 2013-09-03

Project
» Pivers Island Coastal Observatory (PICO)
ContributorsAffiliationRole
Johnson, Zackary I.Duke UniversityPrincipal Investigator, Contact
Hunt, DanaDuke UniversityCo-Principal Investigator
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Dataset Description

Inorganic nutrients from the Pivers Island Coastal Observatory (PICO) from 2010 to 2012. Data include nitrate (NO3), nitrite (NO2), phosphate (PO4), and silicate (SiOH4) reported in micromolar units (uM).

Note: Nutrients were not all measured at all time points, thus, some dates have no data ('nd') in the 'NO3', 'NO2', 'PO4', and/or 'SiOH4' columns.


Methods & Sampling

Water was filtered through a 0.22 um Sterivex cartridge filter, Millipore #SVGPL10RC using a peristaltic pump input line at 1 m for later nutrient analysis (NO3, NO2, PO4, SiOH4). Water was sampled in duplicate into HCl-cleaned HDPE bottles (VWR#414004-110) and stored at -80 degrees C until later analysis using an Astoria-Pacific A2 autoanalyzer, following the manufacturer’s recommended protocols by running each replicate sample in duplicate.

Certified reference materials were used to verify protocols (Inorganic Ventures: QCP-NT, QCP-NUT-1, CGSI1-1). The detection limits were: NO2 = 0.05 uM, NO3 = 0.1 uM, PO4 = 0.05 uM, SiOH4 = 0.2 uM. Values measured below these limits are reported as zero.


Data Processing Description

Samples that had a mean concentration (mean of replicated samples) below the nominal detection limit are reported as zero.

Quality Scores (qflag) as follows:
1 = excellent (no known issues),
2 = suspect,
3 = poor (known reason to suspect data).

BCO-DMO Processing Notes:
- Created 'replicate' column and re-arranged data so that replicates are in rows, not columns.
- Modified parameter names to conform with BCO-DMO naming conventions.
- Replaced blanks with 'nd' to indicate 'no data'.
- Separated date into month, day, and year columns.


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Data Files

File
inorg_nutrients.csv
(Comma Separated Values (.csv), 98.18 KB)
MD5:bacbaeca6c408a279f089e8f9f6be4b1
Primary data file for dataset ID 4033

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Parameters

ParameterDescriptionUnits
deployment

Deployment name/id number.

text
lat

Latitude of sampling location. Positive = North.

decimal degrees
lon

Longitude of sampling location. Positive = East.

decimal degrees
year

Year (local time) of the sampling event.

YYYY
month_local

Month (local time) when the sampling event occurred.

mm (01 to 12)
PID_num

Unique, sequential "occupation" number for sampling. (The unique time/day when sampling occurred.)

dimensionless
day_local

Day of month (local time) when the sampling event occurred.

dd (01 to 31)
time_local

Time (local) when the sampling event occurred; 24-hour clock.

HHMM.mm
time_qflag

Quality score for time_local:

1 = excellent (no known issues);

2 = suspect;

3 = poor (known reason to suspect data).

dimensionless
depth

Depth of water sampling.

meters
replicate

Replicate identifier. (All of the "A" nutrient samples are from the same bottle, however "A" replicates for nutrients are unrelated

to "A" replicates in the other PICO datasets.)

text
NO2

Nitrite concentration.

micromolar (uM)
NO2_qflag

Quality score for NO2:

1 = excellent (no known issues);

2 = suspect;

3 = poor (known reason to suspect data).

dimensionless
NO3

Nitrate concentration.

micromolar (uM)
NO3_qflag

Quality score for NO3:

1 = excellent (no known issues);

2 = suspect;

3 = poor (known reason to suspect data).

dimensionless
PO4

Phosphate concentration.

micromolar (uM)
PO4_qflag

Quality score for PO4:

1 = excellent (no known issues);

2 = suspect;

3 = poor (known reason to suspect data).

dimensionless
SiOH4

Silicate concentration.

micromolar (uM)
SiOH4_qflag

Quality score for SiOH4:

1 = excellent (no known issues);

2 = suspect;

3 = poor (known reason to suspect data).

dimensionless
yrday

Consecutive day of year for a specified year, as a decimal. The fraction of the value represents the time within the day (e.g. a value of 1.5 means January 1 at 1200 hours).

dimensionless
ISO_DateTime_Local

Date-time (local) formatted to ISO 8601 standard.

YYYY-MM-DDTHH:MM:SS.ss


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Instruments

Dataset-specific Instrument Name
Nutrient Autoanalyzer
Generic Instrument Name
Nutrient Autoanalyzer
Dataset-specific Description
Nutrient concentrations were determined using an Astoria-Pacific A2 Autoanalyzer.
Generic Instrument Description
Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.


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Deployments

PICO_1-301

Website
Platform
Duke University Marine Lab
Start Date
2010-06-28
End Date
2012-06-26
Description
The PICO time series is sampled weekly (or more frequently) to capture physical, chemical and biological variability in the coastal ocean. This time series enables the investigator to collaborate with a number of researchers and will serve as a long-term research focus. Project information: http://oceanography.ml.duke.edu/johnson/research/pico/


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Project Information

Pivers Island Coastal Observatory (PICO)


Coverage: 34.7181 deg N, 76.6707 deg W


From the project website:
Carbon dioxide is rising at ~3% per year in the atmosphere and oceans leading to increases in dissolved inorganic carbon and a reduction in pH. This trend is expected to continue for the foreseeable future and ocean pH is predicted to decrease substantially making the ocean more acidic, potentially affecting the marine ecosystem. However, coastal estuaries are highly dynamic systems that often experience dramatic changes in environmental variables over short periods of times. In this study, the investigators are measuring key variables of the marine carbon system along with other potential forcing variables and characteristics of the ecosystem that may be affected by these pH changes. The goal of this project is to determine the time-scales and magnitude of natural variability that will be superimposed on any long term trends in ocean chemistry.

Other PICO-related projects in BCO-DMO:
Ocean Acidification: microbes as sentinels of adaptive responses to multiple stressors: contrasting estuarine and open ocean environments

Collaborative Research: BoCP-Design: A multidomain microbial consortium to interrogate organic matter decomposition in a changing ocean

NSF2026: EAGER: Identifying microbes’ population-level environmental responses using Bayesian modeling



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Ocean Sciences Research Initiation Grants (NSF OCE-RIG)

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