Physical environmental data from Little Lagoon, Alabama collected from 2012-2013 (NCEI Accession 0277277)
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title: Physical environmental data from Little Lagoon, Alabama collected from 2012-2013 (NCEI Accession 0277277)
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abstract: This dataset contains biological, chemical, and physical data collected on SmallBoat_FSU during deployment LittleLagoon from 2012-02-01 to 2013-02-01. These data include Ammonium, Nitrate, chlorophyll a, nitrate plus nitrite, reactive phosphorus (PO4), and salinity calculated from CTD primary sensors. The instruments used to collect these data include Dissolved Oxygen Sensor, Salinity Sensor, digital thermometer, and pH Sensor. These data were collected by Dr William C. Burnett of Florida State University and Dr Behzad Mortazavi of National Science Foundation as part of the "Groundwater Discharge, Benthic Coupling and Microalgal Community Structure in a Shallow Coastal Lagoon (LittleLagoonGroundwater)" project. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2023-01-23. The following is the text of the dataset description provided by BCO-DMO: Physical environmental data. Dataset Description: Physical environmental data from Little Lagoon, Alabama.
purpose: This dataset is available to the public for a wide variety of uses including scientific research and analysis.
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Anchor: https://nsf.gov/awardsearch/showAward?AWD_ID=0962008 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0962008 Award URL: http://nsf.gov/awardsearch/showAward?AWD_ID=0962008
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Anchor: http://lod.bco-dmo.org/id/deployment/528089 Little Lagoon, Alabama
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otherConstraints: Cite as: Mortazavi, Behzad; Burnett, William C. (2023). Physical environmental data from Little Lagoon, Alabama collected from 2012-2013 (NCEI Accession 0277277). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0277277. Accessed [date].
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title: Mortazavi, B., Burnett, W. (2018) Physical environmental data from Little Lagoon, Alabama collected from 2012-2013. Biological and Chemical Oceanography Data Management Office (BCO-DMO). Dataset version 2018-01-16. https://doi.org/10.1575/1912/bco-dmo.723993.1
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supplementalInformation: Acquisition Description: Little Lagoon is a shallow coastal lagoon that is tidally connected to the Gulf of Mexico but has no riverine inputs. The water in the lagoon is replenished solely from precipitation and groundwater inputs primarily on the East end (Su et al. 2012). Because of the rapid development in Baldwin County, a large amount of NO3- enters the Little Lagoon system through SGD (Murgulet & Tick 2008). In this region, there can be rapid changes in the depth to groundwater (Fig. 4.1 inset) and episodic SGD inputs to the lagoon (Su et al.2013). Within the lagoon, three sites were selected (East, Mouth, and West) to represent the gradient that exists across the lagoon from the input of groundwater. Sites were sampled on a near-monthly basis from February 2012 to February 2013. Abiotic Parameters At each site, point measurements of temperature, salinity, pH, and dissolved oxygen (DO) were recorded with a YSI 556 Multiparameter Meter. Triplicate sediment porewater samples were collected with a modified coring device (2.7 cm ID), sectioned at 10 mm intervals to 60 mm, and extracted in 10 mL of 1 M NaCl (Smith & Caffrey 2009) prior to filtering and freezing. The filtered (GF/F, 0.7 micron) supernatant was analyzed for DIN (NO2 -, NO3 -, NH4 +) and phosphate (PO4 3-), and represents total extractable porewater nutrients. Standard wet chemical techniques modified for the Skalar SAN+ Autoanalyzer (Pennock & Cowan 2001) were performed for all nutrient concentration analysis. Water column and sediment chlorophyll-α content were determined fluorometrically (Welschmeyer 1994) after cold extraction in 90% acetone from filters and in triplicate, respectively. Additional methodology can be found in: Bernard, Rebecca & Mortazavi, Behzad & A. Kleinhuizen, Alice. (2015). Dissimilatory nitrate reduction to ammonium (DNRA) seasonally dominates NO3− reduction pathways in an anthropogenically impacted sub-tropical coastal lagoon. Biogeochemistry. 125. 47-64. 10.1007/s10533-015-0111-6 .
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