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Dataset Title:  [Cryptic CH4 Cycling] - Biogeochemical data on cryptic methane cycling in
hypersaline sediments of the Carpinteria Salt Marsh Reserve, California from
sampling in 2019 (Deciphering the Cryptic Cycling of Methane in Sediments of a
Coastal Wetland) Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_965250_v1)
Range: longitude = -119.5367 to -119.5337°E, latitude = 34.39873 to 34.40351°N, time = 2019-07-09T16:00:00Z to 2019-07-09T16:00:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Time_Local_PST {
    String long_name "Time_local_pst";
    String units "unitless";
  }
  Time_UTC {
    String long_name "Time_utc";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.562688e+9, 1.562688e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Site_Name {
    String long_name "Site_name";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 34.39873, 34.40351;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -119.5367, -119.5337;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Pushcore_Inner_Diameter {
    Float32 actual_range 2.6, 10.0;
    String long_name "Pushcore_inner_diameter";
    String units "centimeters (cm)";
  }
  Sediment_Depth {
    Float32 actual_range 0.5, 20.0;
    String long_name "Sediment_depth";
    String units "centimeters (cm)";
  }
  Porewater_Sulfate {
    Float32 actual_range 0.1526972, 90.90136;
    String long_name "Porewater_sulfate";
    String units "millimolar (mM, mmol L-1)";
  }
  Salinity {
    Float32 actual_range 0.02125121, 139.0644;
    String long_name "Salinity";
    String units "Practical Salinity Units (PSU)";
  }
  Porewater_Iron_II {
    Float32 actual_range 6.250774, 1660.747;
    String long_name "Porewater_iron_ii";
    String units "micromoles per liter (umol L-1)";
  }
  Porewater_Sulfide {
    Float32 actual_range 0.5085579, 85.88122;
    String long_name "Porewater_sulfide";
    String units "micromoles per liter (umol L-1)";
  }
  Porosity {
    Float32 actual_range 0.27375, 0.78875;
    String long_name "Porosity";
    String units "volume of void-space over total volume (v/v)";
  }
  Methane {
    Float32 actual_range 6.161057, 665.3074;
    String long_name "Methane";
    String units "micromoles per liter (umol L-1)";
  }
  Sulfate_Reduction {
    Float32 actual_range 0.0, 2506.567;
    String long_name "Sulfate_reduction";
    String units "nanomoles per cubic centimeter per day (nmol cm-3 d-1)";
  }
  AOM_CH4 {
    Float32 actual_range 0.0, 19.8006;
    String long_name "Aom_ch4";
    String units "nanomoles per cubic centimeter per day (nmol cm-3 d-1)";
  }
  AOM_MMA {
    Float32 actual_range 0.0, 45.21321;
    String long_name "Aom_mma";
    String units "nanomoles per cubic centimeter per day (nmol cm-3 d-1)";
  }
  MG_MMA {
    Float32 actual_range 0.05508547, 3.81705;
    String long_name "Mg_mma";
    String units "nanomoles per cubic centimeter per day (nmol cm-3 d-1)";
  }
  AOM_CH4_k {
    Float32 actual_range 0.0, 0.3037158;
    String long_name "Aom_ch4_k";
    String units "per day (d-1)";
  }
  AOM_MMA_k {
    Float32 actual_range 0.0, 0.9550703;
    String long_name "Aom_mma_k";
    String units "per day (d-1)";
  }
  MG_MMA_k {
    Float32 actual_range 0.01836182, 1.27235;
    String long_name "Mg_mma_k";
    String units "per day (d-1)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.965250.1";
    Float64 Easternmost_Easting -119.5337;
    Float64 geospatial_lat_max 34.40351;
    Float64 geospatial_lat_min 34.39873;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -119.5337;
    Float64 geospatial_lon_min -119.5367;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-06-24T07:55:13Z (local files)
2025-06-24T07:55:13Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_965250_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/965250";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 34.40351;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 34.39873;
    String summary 
"Methylotrophic methanogenesis occurring within sulfate-rich zones of coastal and marine sediments is functionally linked to anaerobic methane oxidation (AOM), together constituting a cryptic methane cycle. This investigation presents data on such cryptic methane cycling across a land-to-sea transect comprising four sampling sites within the Carpinteria Salt Marsh Reserve (CSMR) in southern California, USA: two brackish, one marine, and one hypersaline. Surface sediments (upper 20 cm) were examined using geochemical profiling and radiotracer incubation experiments employing 35S-labeled sulfate, 14C-labeled monomethylamine, and 14C-labeled methane.
 
Methane concentrations in sediment porewater were generally low (3–28 µM) across all sites, except at the marine station, where levels increased with depth, reaching up to 665 µM. Methane production from monomethylamine was detected throughout the depth profiles at all stations, with estimated rates ranging from sub-nanomolar to nanomolar per cubic centimeter of sediment per day. AOM, quantified via 14C-CH₄ tracer, co-occurred with methylotrophic methanogenesis at each station, exhibiting activity levels between 0.03 and 19.4 nmol cm⁻³ d⁻¹.
 
Porewater chemistry revealed elevated concentrations of sulfate and dissolved iron across all sites. Sulfate levels (9–91 mM) remained sufficiently high to support sulfate reduction, which showed activity levels from 1.5 to 2,506 nmol cm⁻³ d⁻¹. Vertical profiles of sulfide and Fe(II) suggested a geochemical shift along the transect—from iron-dominated reduction at the brackish stations to sulfate-dominated reduction at the marine and hypersaline stations. AOM activity overlapped with zones of sulfate reduction and Fe(II) enrichment, indicating that methane oxidation may be coupled to both sulfate and iron reduction across all sampling locations.";
    String time_coverage_end "2019-07-09T16:00:00Z";
    String time_coverage_start "2019-07-09T16:00:00Z";
    String title "[Cryptic CH4 Cycling] - Biogeochemical data on cryptic methane cycling in hypersaline sediments of the Carpinteria Salt Marsh Reserve, California from sampling in 2019 (Deciphering the Cryptic Cycling of Methane in Sediments of a Coastal Wetland)";
    Float64 Westernmost_Easting -119.5367;
  }
}

 

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.


 
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