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

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  Barataria Bay carbon mineralization and biogeochemical properties from nine
soil cores
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_775547)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 site_id (unitless) ?          1    3
 replicate (unitless) ?          1    3
 latitude (degrees_north) ?          29.4414    29.4436
  < slider >
 longitude (degrees_east) ?          -89.9026    -89.8998
  < slider >
 depth2 (Depth, centimeters (cm)) ?          "0-5"    "90-100"
 nag_aerob (nmol MUF g−1 min−1) ?          0.0    110.557
 ap_aerob (nmol MUF g−1 min−1) ?          1.07522    91.7377
 bg_aerob (nmol MUF g−1 min−1) ?          0.0    111.778
 xy_aerob (nmol MUF g−1 min−1) ?          0.0    31.1253
 cb_aerob (nmol MUF g−1 min−1) ?          0.0    41.2463
 extractable_nitrate_aerob (mg kg-1) ?          1.14072    144.913
 extractable_ammonium_aerob (mg kg-1) ?          0.0213014    21.5944
 extractable_srp_aerob (mg kg-1) ?          0.0    0.476284
 microbial_biomass_carbon_aerob (mg kg-1) ?          1458.1    41232.3
 potentially_mineralizable_nitrate_aerob (mg NH4+ kg -1 d−1) ?          -0.247567    8.99623
 potentially_mineralizable_ammonium_aerob (mg NH4+ kg -1 d−1) ?          -4.45338    0.439563
 carbon_dioxide_rate_aerob (mg CO2-C kg−1 h−1) ?          0.308214    102.202
 nag_anaerob (nmol MUF g−1 min−1) ?          0.43613    138.273
 ap_anaerob (nmol MUF g−1 min−1) ?          0.0    90.3426
 bg_anaerob (nmol MUF g−1 min−1) ?          0.0    108.624
 xy_anaerob (nmol MUF g−1 min−1) ?          0.0    43.0993
 cb_anaerob (nmol MUF g−1 min−1) ?          0.0    21.685
 extractable_nitrate_anaerob (mg kg-1) ?          1.0506    41.4287
 extractable_ammonium_anaerob (mg kg-1) ?          0.0    116.26
 extractable_srp_anaerob (mg kg-1) ?          0.0    0.0333034
 microbial_biomass_carbon_anaerob (mg kg-1) ?          2434.16    33393.3
 potentially_mineralizable_nitrate_anaerob (mg NH4+ kg -1 d−1) ?          -0.091205    2.47716
 potentially_mineralizable_ammonium_anaerob (mg NH4+ kg -1 d−1) ?          -1.59787    5.95588
 carbon_dioxide_rate_anaerob (mg CO2-C kg−1 h−1) ?          0.323712    86.0494
 moisture_content_pcnt_field (precent) ?          0.507518    0.871855
 bulk_density_g_cm_3_field (g cm-3) ?          0.0587003    0.333452
 ph_field (pH scale) ?          5.57    8.5
 pcnt_organic_matter_field (percent) ?          7.38236    66.3895
 total_n_g_kg_field (g kg-1) ?          1.2916    17.5756
 total_c_g_kg_field (g kg-1) ?          23.8271    345.342
 total_n_g_cm_3_field (g cm-3) ?          334.324    1357.24
 total_c_g_cm_3_field (g cm-3) ?          6126.47    22721.6
 total_p_mg_kg_field (mg kg-1) ?          315.563    854.92
 nag_field (nmol MUF g−1 min−1) ?          0.849778    67.143
 ap_field (nmol MUF g−1 min−1) ?          0.609154    128.47
 bg_field (nmol MUF g−1 min−1) ?          0.862556    124.116
 xy_field (nmol MUF g−1 min−1) ?          0.215332    27.377
 cb_field (nmol MUF g−1 min−1) ?          0.0803225    14.7784
 extractable_doc_field (mg kg-1) ?          46.7084    1713.7
 extractable_nitrate_field (mg kg-1) ?          0.669632    9.66034
 extractable_ammonium_field (mg kg-1) ?          0.0    71.2923
 extractable_srp_field (mg kg-1) ?          0.0    0.0898194
 microbial_biomass_c_field (mg kg-1) ?          974.776    12996.3
 
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 info)

(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 {
  site_id {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    String bcodmo_name "site";
    String description "site identifier";
    String long_name "Site Id";
    String units "unitless";
  }
  replicate {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    String bcodmo_name "replicate";
    String description "replicate identifier";
    String long_name "Replicate";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 29.4414, 29.4436;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of observations with positive values indicating North";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -89.9026, -89.8998;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of observations with negative values indicating West";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth2 {
    String bcodmo_name "depth_core";
    String description "depth in core";
    String long_name "Depth";
    String standard_name "depth";
    String units "centimeters (cm)";
  }
  nag_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 110.557;
    String bcodmo_name "unknown";
    String description "N‐acetyl‐beta‐D‐glucosaminidase activity under aerobic conditions";
    String long_name "Nag Aerob";
    String units "nmol MUF g−1 min−1";
  }
  ap_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 1.07522, 91.7377;
    String bcodmo_name "unknown";
    String description "Alkaline phosphatase activity under aerobic conditions";
    String long_name "Ap Aerob";
    String units "nmol MUF g−1 min−1";
  }
  bg_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 111.778;
    String bcodmo_name "unknown";
    String description "B-glucosidase activity under aerobic conditions";
    String long_name "Bg Aerob";
    String units "nmol MUF g−1 min−1";
  }
  xy_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 31.1253;
    String bcodmo_name "unknown";
    String description "Xylosidase activity under aerobic conditions";
    String long_name "Xy Aerob";
    String units "nmol MUF g−1 min−1";
  }
  cb_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 41.2463;
    String bcodmo_name "unknown";
    String description "Cellobiosidase activity under aerobic conditions";
    String long_name "Cb Aerob";
    String units "nmol MUF g−1 min−1";
  }
  extractable_nitrate_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 1.14072, 144.913;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Extractable Nitrate under aerobic conditions";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "mg kg-1";
  }
  extractable_ammonium_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0213014, 21.5944;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Extractable Ammonium under aerobic conditions";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "mg kg-1";
  }
  extractable_srp_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.476284;
    String bcodmo_name "Soluble reactive phosphorus";
    String description "Extractable Soluble Reactive Phosphorus under aerobic conditions";
    String long_name "Extractable Srp Aerob";
    String units "mg kg-1";
  }
  microbial_biomass_carbon_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 1458.1, 41232.3;
    String bcodmo_name "biomass_C";
    String description "Microbial Biomass Carbon under aerobic conditions";
    String long_name "Microbial Biomass Carbon Aerob";
    String units "mg kg-1";
  }
  potentially_mineralizable_nitrate_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range -0.247567, 8.99623;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Rate of nitrate mineralization (potential) under aerobic conditions";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "mg NH4+ kg -1 d−1";
  }
  potentially_mineralizable_ammonium_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range -4.45338, 0.439563;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Rate of ammonium mineralization (potential) under aerobic conditions";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String units "mg NH4+ kg -1 d−1";
  }
  carbon_dioxide_rate_aerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.308214, 102.202;
    String bcodmo_name "unknown";
    String description "Rate of carbon dioxide production (potential) under aerobic conditions";
    String long_name "Carbon Dioxide Rate Aerob";
    String units "mg CO2-C kg−1 h−1";
  }
  nag_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.43613, 138.273;
    String bcodmo_name "unknown";
    String description "N‐acetyl‐beta‐D‐glucosaminidase activity under anaerobic conditions";
    String long_name "Nag Anaerob";
    String units "nmol MUF g−1 min−1";
  }
  ap_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 90.3426;
    String bcodmo_name "unknown";
    String description "Alkaline phosphatase activity under anaerobic conditions";
    String long_name "Ap Anaerob";
    String units "nmol MUF g−1 min−1";
  }
  bg_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 108.624;
    String bcodmo_name "unknown";
    String description "B-glucosidase activity under anaerobic conditions";
    String long_name "Bg Anaerob";
    String units "nmol MUF g−1 min−1";
  }
  xy_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 43.0993;
    String bcodmo_name "unknown";
    String description "Xylosidase activity under anaerobic conditions";
    String long_name "Xy Anaerob";
    String units "nmol MUF g−1 min−1";
  }
  cb_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 21.685;
    String bcodmo_name "unknown";
    String description "Cellobiosidase activity under anaerobic conditions";
    String long_name "Cb Anaerob";
    String units "nmol MUF g−1 min−1";
  }
  extractable_nitrate_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0506, 41.4287;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Extractable Nitrate under anaerobic conditions";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "mg kg-1";
  }
  extractable_ammonium_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 116.26;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Extractable Ammonium under anaerobic conditions";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "mg kg-1";
  }
  extractable_srp_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.0333034;
    String bcodmo_name "Soluble reactive phosphorus";
    String description "Extractable Soluble Reactive Phosphorus under anaerobic conditions";
    String long_name "Extractable Srp Anaerob";
    String units "mg kg-1";
  }
  microbial_biomass_carbon_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 2434.16, 33393.3;
    String bcodmo_name "biomass_C";
    String description "Microbial Biomass Carbon under anaerobic conditions";
    String long_name "Microbial Biomass Carbon Anaerob";
    String units "mg kg-1";
  }
  potentially_mineralizable_nitrate_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range -0.091205, 2.47716;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Rate of nitrate mineralization (potential) under anaerobic conditions";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "mg NH4+ kg -1 d−1";
  }
  potentially_mineralizable_ammonium_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range -1.59787, 5.95588;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Rate of ammonium mineralization (potential) under aerobic conditions";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "mg NH4+ kg -1 d−1";
  }
  carbon_dioxide_rate_anaerob {
    Float32 _FillValue NaN;
    Float32 actual_range 0.323712, 86.0494;
    String bcodmo_name "unknown";
    String description "Rate of carbon dioxide production (potential) under anaerobic conditions";
    String long_name "Carbon Dioxide Rate Anaerob";
    String units "mg CO2-C kg−1 h−1";
  }
  moisture_content_pcnt_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.507518, 0.871855;
    String bcodmo_name "unknown";
    String description "percent moisture content";
    String long_name "Moisture Content Pcnt Field";
    String units "precent";
  }
  bulk_density_g_cm_3_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0587003, 0.333452;
    String bcodmo_name "unknown";
    String description "bulk density";
    String long_name "Bulk Density G Cm 3 Field";
    String units "g cm-3";
  }
  ph_field {
    Float32 _FillValue NaN;
    Float32 actual_range 5.57, 8.5;
    String bcodmo_name "pH";
    String description "pH";
    String long_name "Ph Field";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH scale";
  }
  pcnt_organic_matter_field {
    Float32 _FillValue NaN;
    Float32 actual_range 7.38236, 66.3895;
    String bcodmo_name "unknown";
    String description "Organic matter content";
    String long_name "Pcnt Organic Matter Field";
    String units "percent";
  }
  total_n_g_kg_field {
    Float32 _FillValue NaN;
    Float32 actual_range 1.2916, 17.5756;
    String bcodmo_name "N";
    String description "Total Nitrogen";
    String long_name "Total N G Kg Field";
    String units "g kg-1";
  }
  total_c_g_kg_field {
    Float32 _FillValue NaN;
    Float32 actual_range 23.8271, 345.342;
    String bcodmo_name "C";
    String description "Total Carbon";
    String long_name "Total C G Kg Field";
    String units "g kg-1";
  }
  total_n_g_cm_3_field {
    Float32 _FillValue NaN;
    Float32 actual_range 334.324, 1357.24;
    String bcodmo_name "N";
    String description "Total Nitrogen";
    String long_name "Total N G Cm 3 Field";
    String units "g cm-3";
  }
  total_c_g_cm_3_field {
    Float32 _FillValue NaN;
    Float32 actual_range 6126.47, 22721.6;
    String bcodmo_name "C";
    String description "Total Carbon";
    String long_name "Total C G Cm 3 Field";
    String units "g cm-3";
  }
  total_p_mg_kg_field {
    Float32 _FillValue NaN;
    Float32 actual_range 315.563, 854.92;
    String bcodmo_name "P";
    String description "Total Phosphorus";
    String long_name "Total P Mg Kg Field";
    String units "mg kg-1";
  }
  nag_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.849778, 67.143;
    String bcodmo_name "unknown";
    String description "N‐acetyl‐beta‐D‐glucosaminidase activity in the field";
    String long_name "Nag Field";
    String units "nmol MUF g−1 min−1";
  }
  ap_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.609154, 128.47;
    String bcodmo_name "unknown";
    String description "Alkaline phosphatase activity in the field";
    String long_name "Ap Field";
    String units "nmol MUF g−1 min−1";
  }
  bg_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.862556, 124.116;
    String bcodmo_name "unknown";
    String description "B-glucosidase activity in the field";
    String long_name "Bg Field";
    String units "nmol MUF g−1 min−1";
  }
  xy_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.215332, 27.377;
    String bcodmo_name "unknown";
    String description "Xylosidase activity in the field";
    String long_name "Xy Field";
    String units "nmol MUF g−1 min−1";
  }
  cb_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0803225, 14.7784;
    String bcodmo_name "unknown";
    String description "Cellobiosidase activity in the field";
    String long_name "Cb Field";
    String units "nmol MUF g−1 min−1";
  }
  extractable_doc_field {
    Float32 _FillValue NaN;
    Float32 actual_range 46.7084, 1713.7;
    String bcodmo_name "DOC";
    String description "Extractable Dissolved Organic Carbon in the field";
    String long_name "Extractable Doc Field";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
    String units "mg kg-1";
  }
  extractable_nitrate_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.669632, 9.66034;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Extractable Nitrate in the field";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "mg kg-1";
  }
  extractable_ammonium_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 71.2923;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Extractable Ammonium in the field";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "mg kg-1";
  }
  extractable_srp_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.0898194;
    String bcodmo_name "Soluble reactive phosphorus";
    String description "Extractable Soluble Reactive Phosphorus in the field";
    String long_name "Extractable Srp Field";
    String units "mg kg-1";
  }
  microbial_biomass_c_field {
    Float32 _FillValue NaN;
    Float32 actual_range 974.776, 12996.3;
    String bcodmo_name "biomass_C";
    String description "Microbial Biomass Carbon in the field";
    String long_name "Microbial Biomass C Field";
    String units "mg kg-1";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Moisture Content:  
 Drying a subsample of soil using a gravimetric oven at 70 \\u00b0C after 3
days or until a constant weight was achieved. Dried soils were ground using a
SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).
 
Bulk Density:  
 Drying a subsample of soil using a gravimetric oven at 70 \\u00b0C after 3
days or until a constant weight was achieved. Dried soils were ground using a
SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).
 
pH:  
 Soil pH was determined by creating a 1:5 slurry of soil to distilled,
deionized water, and sub- sequent measurement using an Accument bench top pH
probe (Accumet XL200, ThermoFisher Scientific, Waltham, MA, USA).
 
Total Carbon:  
 Total Carbon content was determined by use of a Vario Micro Cube CHNS
Analyzer on dried, ground subsamples.
 
Total Nitrogen:  
 Total Nitrogen content was determined by use of a Vario Micro Cube CHNS
Analyzer on dried, ground subsamples.
 
Total Phosphorus:  
 Dried, ground sub- samples were used to determine percent organic matter
using the loss- on-ignition method, where soils were burned at 550\\u00b0C in a
muffle furnace for a total of 3 h, then soils were digested with 50 mL of 1 N
HCl at 100 \\u00b0C for 30 min, and filtered through Whatman #41 filter paper
for total P analysis (Andersen, 1976). Total P content was then determined
colorimetrically via an AQ2 Automated Discrete Analyzer (Seal Analytical,
Mequon, WI) in accordance with EPA method 365.1 Rev. 2.
 
Organic Matter Content:  
 Dried, ground sub- samples were used to determine percent organic matter
using the loss- on-ignition method, where soils were burned at 550\\u00b0C in a
muffle furnace for a total of 3 h.
 
Extractable Dissolved Organic Carbon:  
 1 g dry weight of field-moist soil were weighed into 40 mL centrifuge tubes
and extracted with 25 mL of 0.5 M K2SO4, placed in an orbital shaker for 1 h
at 25 \\u00b0C and 150 rpm then immediately centrifuged for 10 min at 10
\\u00b0C and 5000 rpm. The supernatant was vacuum filtered through Supor 0.45
\\u03bcM filters, acidified with double distilled H2SO4 for preservation, and
stored at 4 \\u00b0C until analysis. Dissolved organic carbon (DOC) was
determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan).
 
Extractable Nitrate:  
 2.5 g of wet soil (both from the field and from the bottle incubation) into
40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken
continuously on an orbital shaker for 1 h at 25 \\u00b0C and 150 rpm, then
centrifuged for 10 min at 10 \\u00b0C and 5000 rpm. Following the centrifuge,
samples were immediately filtered through Supor 0.45 \\u03bcM filters and
acidified with double distilled H2SO4 to a pH of < 2 for preservation.
Extractable nutrients samples were then analyzed using an AQ2 Automated
Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A
Rev.1, and 204-A Rev.0).
 
Extractable Ammonium:  
 2.5 g of wet soil (both from the field and from the bottle incubation) into
40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken
continuously on an orbital shaker for 1 h at 25 \\u00b0C and 150 rpm, then
centrifuged for 10 min at 10 \\u00b0C and 5000 rpm. Following the centrifuge,
samples were immediately filtered through Supor 0.45 \\u03bcM filters and
acidified with double distilled H2SO4 to a pH of < 2 for preservation.
Extractable nutrients samples were then analyzed using an AQ2 Automated
Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A
Rev.1, and 204-A Rev.0).
 
Extractable Soluble Reactive Phosphorus:  
 2.5 g of wet soil (both from the field and from the bottle incubation) into
40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken
continuously on an orbital shaker for 1 h at 25 \\u00b0C and 150 rpm, then
centrifuged for 10 min at 10 \\u00b0C and 5000 rpm. Following the centrifuge,
samples were immediately filtered through Supor 0.45 \\u03bcM filters and
acidified with double distilled H2SO4 to a pH of < 2 for preservation.
Extractable nutrients samples were then analyzed using an AQ2 Automated
Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A
Rev.1, and 204-A Rev.0).
 
Microbial Biomass Carbon:  
 Microbial biomass C (MBC) was determined on soils both immediately after the
field sampling and soils from the bottles after the incubation period
following the method outlined in Vance et al. (1987). Duplicates of
approximately 1 g dry weight of field-moist soil were weighed into 40 mL
centrifuge tubes and assigned to either a fumigate or non-fumigate treatment.
The fumigated samples were exposed to gaseous chloroform for 24 h in a glass
desiccator. After 24 h, the sam- ples were extracted with 25 mL of 0.5 M
K2SO4, placed in an orbital shaker for 1 h at 25 \\u00b0C and 150 rpm. After
incubation, samples were immediately centrifuged for 10 min at 10 \\u00b0C and
5000 rpm. The supernatant was vacuum filtered through Supor 0.45 \\u03bcM
filters, acidified with double distilled H2SO4 for preservation, and stored at
4 \\u00b0C until analysis. Non-fumigate samples were processed in the same
manner, excluding the chloroform fumigation. Dissolved organic carbon (DOC)
was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan). Microbial
biomass C was calculated as the difference between the fumigated samples and
the non-fumigated samples.
 
B-glucosidase activity:  
 Assays were conducted using fluorescent substrate 4\\u2010
methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-
specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g
of soil was added to 39 mL of autoclaved distilled deionized water and shaken
continuously on an orbital shaker for 1 h at 25 \\u00b0C and 150 rpm. Fluor-
escence was measured at excitation/emission wavelengths 360/460 on a BioTek
Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately
after substrate and sample were added, and 24 h later to determine a rate of
enzyme activity.
 
N\\u2010acetyl\\u2010beta\\u2010D\\u2010glucosaminidase activity:  
 Assays were conducted using fluorescent substrate 4\\u2010
methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-
specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g
of soil was added to 39 mL of autoclaved distilled deionized water and shaken
continuously on an orbital shaker for 1 h at 25 \\u00b0C and 150 rpm. Fluor-
escence was measured at excitation/emission wavelengths 360/460 on a BioTek
Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately
after substrate and sample were added, and 24 h later to determine a rate of
enzyme activity.
 
Alkaline phosphatase activity:  
 Assays were conducted using fluorescent substrate 4\\u2010
methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-
specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g
of soil was added to 39 mL of autoclaved distilled deionized water and shaken
continuously on an orbital shaker for 1 h at 25 \\u00b0C and 150 rpm. Fluor-
escence was measured at excitation/emission wavelengths 360/460 on a BioTek
Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately
after substrate and sample were added, and 24 h later to determine a rate of
enzyme activity.
 
Xylosidase activity:  
 Assays were conducted using fluorescent substrate 4\\u2010
methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-
specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g
of soil was added to 39 mL of autoclaved distilled deionized water and shaken
continuously on an orbital shaker for 1 h at 25 \\u00b0C and 150 rpm. Fluor-
escence was measured at excitation/emission wavelengths 360/460 on a BioTek
Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately
after substrate and sample were added, and 24 h later to determine a rate of
enzyme activity.
 
Cellobiosidase activity:  
 Assays were conducted using fluorescent substrate 4\\u2010
methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-
specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g
of soil was added to 39 mL of autoclaved distilled deionized water and shaken
continuously on an orbital shaker for 1 h at 25 \\u00b0C and 150 rpm. Fluor-
escence was measured at excitation/emission wavelengths 360/460 on a BioTek
Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately
after substrate and sample were added, and 24 h later to determine a rate of
enzyme activity.
 
Rate of carbon dioxide production (potential):  
 Duplicate subsamples (approximately 7 g) from each depth segment of each
core were weighed into 100 mL glass serum bottles, capped with a rubber septa
and aluminum crimp and evacuated to \\u221275 mm Hg. Replicate bottles were
randomly assigned to one of two treatments: anaerobic (purged with 99% O2-free
N2 gas for 3 min), or aerobic (purged with Breathing Grade air containing 21%
O2 for 3 min). Anaerobic bottles were injected with 14 mL of filtered,
N2-purged site water, while aerobic bottles were injected with 14 mL of
filtered, breathing air-purged site water. Bottles were then placed on an
orbital shaker at 150 rpm and 25 \\u00b0C. Headspace samples were taken at 1,
2, 4, 7, 10, and 14 day time points, and injected into a GC-2014 gas
chromatograph (Shimadzu Instrument, Kyoto, Japan) equipped with a flame
ionization detector. Respiration rates were calculated as the change in CO2
production over time. After each gas sample was extracted from the bottles'
headspace, the bottle was purged with either 99% O2- free N2 gas or Breathing
Grade air for 3 min, depending on treatment.
 
Rate of nitrate mineralization (potential):  
 Following the 14 day incubation, bottles were uncapped, and the remaining
soil sample was placed in a 20 mL HDPE scintillation vials
 
Rate of ammonium mineralization (potential):  
 for analysis of extractable ammonium (NH4+), nitrate (NO3\\u2212), and
soluble reactive phosphorus (SRP), microbial biomass C, and enzyme analysis.";
    String awards_0_award_nid "670519";
    String awards_0_award_number "OCE-1635837";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1635837";
    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 "William Miller";
    String awards_0_program_manager_nid "670518";
    String cdm_data_type "Other";
    String comment 
"Barataria Bay Carbon Mineralization 
  PI: Dr. Lisa Chambers 
  Version: 2019-08-16";
    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 "2019-08-16T13:50:36Z";
    String date_modified "2019-09-05T17:09:11Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.775547.1";
    Float64 Easternmost_Easting -89.8998;
    Float64 geospatial_lat_max 29.4436;
    Float64 geospatial_lat_min 29.4414;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -89.8998;
    Float64 geospatial_lon_min -89.9026;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-07-06T04:36:59Z (local files)
2020-07-06T04:36:59Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_775547.html";
    String infoUrl "https://www.bco-dmo.org/dataset/775547";
    String institution "BCO-DMO";
    String instruments_0_acronym "CHN_EA";
    String instruments_0_dataset_instrument_description "Total Carbon content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.�Total Nitrogen content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.";
    String instruments_0_dataset_instrument_nid "775607";
    String instruments_0_description "A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and  nitrogen content in organic and other types of materials, including  solids, liquids, volatile, and viscous samples.";
    String instruments_0_instrument_name "CHN Elemental Analyzer";
    String instruments_0_instrument_nid "625";
    String instruments_0_supplied_name "Vario Micro Cube CHNS Analyzer";
    String instruments_1_acronym "Gas Chromatograph";
    String instruments_1_dataset_instrument_description "Headspace samples were taken at 1, 2, 4, 7, 10, and 14 day time points, and injected into a GC-2014 gas chromatograph (Shimadzu Instrument, Kyoto, Japan) equipped with a flame ionization detector.";
    String instruments_1_dataset_instrument_nid "775610";
    String instruments_1_description "Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC)";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB02/";
    String instruments_1_instrument_name "Gas Chromatograph";
    String instruments_1_instrument_nid "661";
    String instruments_1_supplied_name "GC-2014 gas chromatograph";
    String instruments_2_acronym "Benchtop pH Meter";
    String instruments_2_dataset_instrument_description "Soil pH was determined by creating a 1:5 slurry of soil to distilled, deionized water, and sub- sequent measurement using an Accument bench top pH probe (Accumet XL200, ThermoFisher Scientific, Waltham, MA, USA).";
    String instruments_2_dataset_instrument_nid "775606";
    String instruments_2_description 
"An instrument consisting of an electronic voltmeter and pH-responsive electrode that gives a direct conversion of voltage differences to differences of pH at the measurement temperature.  (McGraw-Hill Dictionary of Scientific and Technical Terms) 
This instrument does not map to the NERC instrument vocabulary term for 'pH Sensor' which measures values in the water column.  Benchtop models are typically employed for stationary lab applications.";
    String instruments_2_instrument_name "Benchtop pH Meter";
    String instruments_2_instrument_nid "681";
    String instruments_2_supplied_name "Accument bench top pH probe";
    String instruments_3_acronym "Shimadzu TOC-L";
    String instruments_3_dataset_instrument_description "Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan).";
    String instruments_3_dataset_instrument_nid "775609";
    String instruments_3_description 
"A Shimadzu TOC-L Analyzer measures DOC by high temperature combustion method.

Developed by Shimadzu, the 680 degree�C combustion catalytic oxidation method is now used worldwide. One of its most important features is the capacity to efficiently oxidize hard-to-decompose organic compounds, including insoluble and macromolecular organic compounds. The 680 degree�C combustion catalytic oxidation method has been adopted for the TOC-L series.

http://www.shimadzu.com/an/toc/lab/toc-l2.html";
    String instruments_3_instrument_external_identifier "http://onto.nerc.ac.uk/CAST/124.html";
    String instruments_3_instrument_name "Shimadzu TOC-L Analyzer";
    String instruments_3_instrument_nid "527277";
    String instruments_3_supplied_name "Shimadzu TOC-L Analyzer";
    String instruments_4_acronym "Discrete Analyzer";
    String instruments_4_dataset_instrument_description "Total P content was�determined colorimetrically via an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI) in accordance with EPA method 365.1 Rev. 2.�Extractable nutrients samples were�analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).";
    String instruments_4_dataset_instrument_nid "775608";
    String instruments_4_description "Discrete analyzers utilize discrete reaction wells to mix and develop the colorimetric reaction, allowing for a wide variety of assays to be performed from one sample.�These instruments are ideal for drinking water, wastewater, soil testing, environmental and university or research applications where multiple assays and high throughput are required.";
    String instruments_4_instrument_name "Discrete Analyzer";
    String instruments_4_instrument_nid "654337";
    String instruments_4_supplied_name "AQ2 Automated Discrete Analyzer";
    String keywords "aerob, ammonia, ammonium, anaerob, ap_aerob, ap_anaerob, ap_field, bco, bco-dmo, bg_aerob, bg_anaerob, bg_field, biological, biomass, bulk, bulk_density_g_cm_3_field, carbon, carbon_dioxide_rate_aerob, carbon_dioxide_rate_anaerob, cb_aerob, cb_anaerob, cb_field, chemical, chemistry, commerce, concentration, content, data, dataset, density, department, depth, depth2, dioxide, dmo, doc, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, erddap, extractable, extractable_ammonium_aerob, extractable_ammonium_anaerob, extractable_ammonium_field, extractable_doc_field, extractable_nitrate_aerob, extractable_nitrate_anaerob, extractable_nitrate_field, extractable_srp_aerob, extractable_srp_anaerob, extractable_srp_field, field, latitude, longitude, management, matter, microbial, microbial_biomass_c_field, microbial_biomass_carbon_aerob, microbial_biomass_carbon_anaerob, moisture, moisture_content_pcnt_field, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, n02, nag, nag_aerob, nag_anaerob, nag_field, nh4, nitrate, no3, ocean, oceanography, oceans, office, organic, pcnt, pcnt_organic_matter_field, ph_field, potentially_mineralizable_ammonium_aerob, potentially_mineralizable_ammonium_anaerob, potentially_mineralizable_nitrate_aerob, potentially_mineralizable_nitrate_anaerob, preliminary, rate, replicate, science, sea, seawater, site, site_id, srp, total, total_c_g_cm_3_field, total_c_g_kg_field, total_n_g_cm_3_field, total_n_g_kg_field, total_p_mg_kg_field, water, xy_aerob, xy_anaerob, xy_field";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/775547/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/775547";
    Float64 Northernmost_Northing 29.4436;
    String param_mapping "{'775547': {'lat': 'flag - latitude', 'lon': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/775547/parameters";
    String people_0_affiliation "University of Central Florida";
    String people_0_affiliation_acronym "UCF";
    String people_0_person_name "Dr Lisa G Chambers";
    String people_0_person_nid "670523";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Louisiana State University";
    String people_1_affiliation_acronym "LSU";
    String people_1_person_name "Dr Robert L. Cook";
    String people_1_person_nid "670531";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Louisiana State University";
    String people_2_affiliation_acronym "LSU";
    String people_2_person_name "Dr John R. White";
    String people_2_person_nid "670528";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Louisiana State University";
    String people_3_affiliation_acronym "LSU";
    String people_3_person_name "Dr Zuo Xue";
    String people_3_person_nid "670533";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "University of Central Florida";
    String people_4_affiliation_acronym "UCF";
    String people_4_person_name "Kyle Dittmer";
    String people_4_person_nid "776252";
    String people_4_role "Student";
    String people_4_role_type "related";
    String people_5_affiliation "University of Central Florida";
    String people_5_affiliation_acronym "UCF";
    String people_5_person_name "Havalend E Steinmuller";
    String people_5_person_nid "776250";
    String people_5_role "Student";
    String people_5_role_type "related";
    String people_6_affiliation "Woods Hole Oceanographic Institution";
    String people_6_affiliation_acronym "WHOI BCO-DMO";
    String people_6_person_name "Mathew Biddle";
    String people_6_person_nid "708682";
    String people_6_role "BCO-DMO Data Manager";
    String people_6_role_type "related";
    String project "Submerged Wetland Carbon";
    String projects_0_acronym "Submerged Wetland Carbon";
    String projects_0_description 
"Description from NSF award abstract:
Coastal Louisiana is currently experiencing net sea level rise at rates higher than most of the world's coastlines and within the global range predicted to occur in the next 65 - 85 years, making Louisiana an ideal site to study potential future impacts of rising sea level on coastal systems. This project will use field collection and controlled tank experiments to study the changing organic carbon cycle resulting from erosion of marsh soils along with its impact on associated biogeochemical processes. The hypothesis tested in this study is that the majority of eroded soil organic carbon is converted to carbon dioxide (CO2) and released to the atmosphere, representing an addition to the anthropogenic input of CO2. This process has not been quantified and could be an important missing component in predictive models of atmospheric CO2 changes. While this process may be of only regional importance today in comparison to other sources of CO2, this study of the Louisiana coast will greatly enhance our full understanding of the potential impacts on the global carbon cycle that may result from coastal erosion as global sea level continues to rise.
The project will train graduate and undergraduate students in interdisciplinary research involving marine and wetland biogeochemistry, microbiology, and ecological modeling. It will also fund development of an interactive, educational display on the loss of coastal wetlands for the Louisiana Sea Grant's annual Ocean Commotion educational event attended by area middle and high school students, teachers, and parents. Results from this study may also inform community planners both regionally and worldwide as they prepare for sea level rise in coastal communities.
Eustatic sea level rise and regional subsidence have created a much greater rate of coastline loss in Louisiana than is being experienced in most of the world's coastal regions, reaching global rates that are predicted to occur worldwide in 65 - 85 years. This provides a unique potential to extrapolate data from Louisiana's changing coastal carbon cycle to both regional and global models of the future impact of sea level rise and coastal erosion. By quantifying and modeling the importance of CO2 emissions resulting directly from mineralized soil organic matter from eroding coastlines, a missing element can be added to climate change models. The PIs here plan to investigate the fate of the coastal wetland carbon pool as it erodes using field sampling, laboratory analysis, mesocosm manipulations, and the creation of a coupled physical-biogeochemical model for the basin being studied. Beyond quantifying increased CO2 emission, the PIs will also address the potential for increased eutrophication due to input of nutrients from eroded soils, as well as the potential for future contribution to existing hypoxic zones in the northern Gulf of Mexico that result from excessive nutrient input from the Mississippi River watershed.";
    String projects_0_end_date "2019-08";
    String projects_0_geolocation "Coastal Lousiana";
    String projects_0_name "Fate of Coastal Wetland Carbon Under Increasing Sea Level Rise: Using the Subsiding Louisiana Coast as a Proxy for Future World-Wide Sea Level Projections";
    String projects_0_project_nid "670520";
    String projects_0_start_date "2016-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 29.4414;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Nine soil cores (1 m deep) were collected from three sites within Barataria Bay, LA (USA). Both the biogeochemical properties of the soils with depth were determined, as well as the impacts of the introduction of oxygenated seawater on carbon mineralization rates.";
    String title "Barataria Bay carbon mineralization and biogeochemical properties from nine soil cores";
    String version "1";
    Float64 Westernmost_Easting -89.9026;
    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 2.02
Disclaimers | Privacy Policy | Contact