BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  [Porewater] - HS- and NH4+ porewater data from Little Lagoon, Alabama
collected from 2012-2013. (Groundwater Discharge, Benthic Coupling and
Microalgal Community Structure in a Shallow Coastal Lagoon)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_723975)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Year (unitless) ?          1    2
 Date (unitless) ?          "Apr-11"    "Sep-11"
 Julian_Date (unitless) ?          54    685
 depth (m) ?          0.0    60.0
  < slider >
 Mouth_HS (micromoles) ?          0.0    4518.2677
 East_HS (micromoles) ?          0.0    1275.3
 West_HS (micromoles) ?          0.0    3000.0
 East_NH4 (micromoles) ?          0.8108    43.8701
 Mouth_NH4 (micromoles) ?          0.9709    29.7798
 West_NH4 (micromoles) ?          0.9533    74.353
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Year {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 2;
    String bcodmo_name "unknown";
    String description "Year ID that samples were taken";
    String long_name "Year";
    String units "unitless";
  }
  Date {
    String bcodmo_name "date";
    String description "Month and day that samples were taken; MMM-DD";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  Julian_Date {
    Int16 _FillValue 32767;
    Int16 actual_range 54, 685;
    String bcodmo_name "unknown";
    String description "Julian date of sampling";
    String long_name "Julian Date";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 60.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth of sampling";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Mouth_HS {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 4518.2677;
    String bcodmo_name "sulfide";
    String description "Hydrogen sulfide porewater values taken at the site Mouth; location of site is 30.243683, -87.738407";
    String long_name "Mouth HS";
    String units "micromoles";
  }
  East_HS {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1275.3;
    String bcodmo_name "sulfide";
    String description "Hydrogen sulfide porewater values taken at the site East; location of site is 30.253347, -87.724729";
    String long_name "East HS";
    String units "micromoles";
  }
  West_HS {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 3000.0;
    String bcodmo_name "sulfide";
    String description "Hydrogen sulfide porewater values taken at the site West; location of site is 30.247181, -87.767856";
    String long_name "West HS";
    String units "micromoles";
  }
  East_NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.8108, 43.8701;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Ammonium porewater values taken at the site East; location of site is 30.253347, -87.724729";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromoles";
  }
  Mouth_NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.9709, 29.7798;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Ammonium porewater values taken at the site Mouth; location of site is 30.243683, -87.738407";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromoles";
  }
  West_NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.9533, 74.353;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "West porewater values taken at the site West; location of site is 30.247181, -87.767856";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromoles";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String 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.
 
Porewater Samples
 
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-\\u03b1 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\\u2212 reduction pathways in an anthropogenically impacted sub-tropical
coastal lagoon. Biogeochemistry. 125.
47-64.\\u00a0[10.1007/s10533-015-0111-6](\\\\\"https://www.researchgate.net/publication/282301597_Dissimilatory_nitrate_reduction_to_ammonium_DNRA_seasonally_dominates_NO3
-_reduction_pathways_in_an_anthropogenically_impacted_sub-
tropical_coastal_lagoon\\\\\").\\u00a0";
    String awards_0_award_nid "497637";
    String awards_0_award_number "OCE-0962008";
    String awards_0_data_url "http://nsf.gov/awardsearch/showAward?AWD_ID=0962008";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Porewater Data 
  B. Mortazavi and W. Burnett, PIs 
  Version 16 January 2018";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2018-01-17T20:11:54Z";
    String date_modified "2019-03-15T17:40:55Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.723975.1";
    Float64 geospatial_vertical_max 60.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T16:56:02Z (local files)
2024-11-23T16:56:02Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_723975.html";
    String infoUrl "https://www.bco-dmo.org/dataset/723975";
    String institution "BCO-DMO";
    String instruments_0_acronym "Fluorometer";
    String instruments_0_dataset_instrument_description "Used to collected water column and sediment chlorophyll-a content";
    String instruments_0_dataset_instrument_nid "724412";
    String instruments_0_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_0_instrument_name "Fluorometer";
    String instruments_0_instrument_nid "484";
    String instruments_0_supplied_name "Fluorometer";
    String instruments_1_acronym "Multi Corer";
    String instruments_1_dataset_instrument_description "Used to collected porewater samples";
    String instruments_1_dataset_instrument_nid "724411";
    String instruments_1_description "The Multi Corer is a benthic coring device used to collect multiple, simultaneous, undisturbed sediment/water samples from the seafloor.  Multiple coring tubes with varying sampling capacity depending on tube dimensions are mounted in a frame designed to sample the deep ocean seafloor. For more information, see Barnett et al. (1984) in Oceanologica Acta, 7, pp. 399-408.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/51/";
    String instruments_1_instrument_name "Multi Corer";
    String instruments_1_instrument_nid "532";
    String instruments_1_supplied_name "Modified coring device";
    String keywords "ammonia, ammonium, bco, bco-dmo, biological, chemical, chemistry, concentration, data, dataset, date, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, east, East_HS, East_NH4, erddap, julian, Julian_Date, management, mole, mole_concentration_of_ammonium_in_sea_water, mouth, Mouth_HS, Mouth_NH4, nh4, ocean, oceanography, oceans, office, preliminary, science, sea, seawater, water, west, West_HS, West_NH4, year";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/723975/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/723975";
    String param_mapping "{'723975': {'Depth': 'master - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/723975/parameters";
    String people_0_affiliation "National Science Foundation";
    String people_0_affiliation_acronym "NSF-DEB";
    String people_0_person_name "Dr Behzad Mortazavi";
    String people_0_person_nid "491316";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Florida State University";
    String people_1_affiliation_acronym "FSU - EOAS";
    String people_1_person_name "Dr William C. Burnett";
    String people_1_person_nid "491315";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "National Science Foundation";
    String people_2_affiliation_acronym "NSF-DEB";
    String people_2_person_name "Dr Behzad Mortazavi";
    String people_2_person_nid "491316";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "LittleLagoonGroundwater";
    String projects_0_acronym "LittleLagoonGroundwater";
    String projects_0_description "This project investigated the link between submarine groundwater discharge (SGD) and microalgal dynamics in Little Lagoon, Alabama.  In contrast to most near-shore environments, it is fully accessible; has no riverine inputs; and is large enough to display ecological diversity (c. 14x 0.75 km) yet small enough to be comprehensively sampled on appropriate temporal and spatial scales. The PIs have previously demonstrated that the lagoon is a hot-spot for toxic blooms of the diatom Pseudo-nitzchia spp. that are correlated with discharge from the surficial aquifer. This project assessed variability in SGD, the dependence of benthic nutrient fluxes on microphytobenthos (MPB) abundance and productivity, and the response of the phytoplankton to nutrient enrichment and dilution. The work integrated multiple temporal and spatial scales and demonstrated both the relative importance of SGD vs. benthic recycling as a source of nutrients, and the role of SGD in structuring the microalgal community. (paraphrased from Award abstract)";
    String projects_0_end_date "2014-08";
    String projects_0_geolocation "southern Alabama, east of Mobile";
    String projects_0_name "Groundwater Discharge, Benthic Coupling and Microalgal Community Structure in a Shallow Coastal Lagoon";
    String projects_0_project_nid "491318";
    String projects_0_start_date "2010-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "HS- and NH4+ porewater data from Little Lagoon, Alabama collected from 2012-2013.";
    String title "[Porewater] - HS- and NH4+ porewater data from Little Lagoon, Alabama collected from 2012-2013. (Groundwater Discharge, Benthic Coupling and Microalgal Community Structure in a Shallow Coastal Lagoon)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact