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Dataset Title:	[BATS sediment trap particle flux] - Determination of carbon, nitrogen, and phosphorus content in sinking particles at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 to December 2024 using a Particle Interceptor Trap System (PITS) (Bermuda Atlantic Time-series Study)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_894099_v6)
Range:	longitude = -64.298 to -63.98°E, latitude = 31.544 to 32.013°N, depth = 150.0 to 400.0m
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  BATS_Cruise_ID latitude longitude Latitude_recovered Longitude_recovered Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg Y Axis:  BATS_Cruise_ID latitude longitude Latitude_recovered Longitude_recovered Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg Color:  BATS_Cruise_ID latitude longitude Latitude_recovered Longitude_recovered Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg   Constraints Optional Constraint #1 Optional Constraint #2 BATS_Cruise_ID Vessel Date_deployed latitude longitude Date_recovered Latitude_recovered Longitude_recovered Cruise_type Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg     != =~ <= >= = < >     != =~ <= >= = < > BATS_Cruise_ID Vessel Date_deployed latitude longitude Date_recovered Latitude_recovered Longitude_recovered Cruise_type Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg     != =~ <= >= = < >     != =~ <= >= = < > BATS_Cruise_ID Vessel Date_deployed latitude longitude Date_recovered Latitude_recovered Longitude_recovered Cruise_type Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg     != =~ <= >= = < >     != =~ <= >= = < > BATS_Cruise_ID Vessel Date_deployed latitude longitude Date_recovered Latitude_recovered Longitude_recovered Cruise_type Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg     != =~ <= >= = < >     != =~ <= >= = < > BATS_Cruise_ID Vessel Date_deployed latitude longitude Date_recovered Latitude_recovered Longitude_recovered Cruise_type Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" BATS_Cruise_ID Vessel Date_deployed latitude longitude Date_recovered Latitude_recovered Longitude_recovered Cruise_type Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg BATS_Cruise_ID Vessel Date_deployed latitude longitude Date_recovered Latitude_recovered Longitude_recovered Cruise_type Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg BATS_Cruise_ID Vessel Date_deployed latitude longitude Date_recovered Latitude_recovered Longitude_recovered Cruise_type Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg BATS_Cruise_ID Vessel Date_deployed latitude longitude Date_recovered Latitude_recovered Longitude_recovered Cruise_type Cruise_num depth M1 M2 M3 M_avg C1 C2 C3 C_avg N1 N2 N3 N_avg P1 P2 P3 P_avg FBC1 FBC2 FBC3 FBC_avg FBN1 FBN2 FBN3 FBN_avg ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Draw land mask:  under over outline off Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Click on the map to specify a new center point. Zoom:

 

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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:

• Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
• Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  BATS_Cruise_ID {
    Int32 actual_range 10003, 20390;
    String long_name "Bats_cruise_id";
    String units "unitless";
  }
  Vessel {
    String long_name "Vessel";
    String units "unitless";
  }
  Date_deployed {
    String long_name "Date_deployed";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 31.544, 32.013;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude_deployed";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -64.298, -63.98;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude_deployed";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date_recovered {
    String long_name "Date_recovered";
    String units "unitless";
  }
  Latitude_recovered {
    Float32 actual_range 30.561, 32.666;
    String long_name "Latitude_recovered";
    String units "degrees_north";
  }
  Longitude_recovered {
    Float32 actual_range -65.538, -63.085;
    String long_name "Longitude_recovered";
    String units "degrees_east";
  }
  Cruise_type {
    String long_name "Cruise_type";
    String units "unitless";
  }
  Cruise_num {
    Int32 actual_range 3, 422;
    String long_name "Cruise_num";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 150.0, 400.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  M1 {
    Float32 actual_range 0.0, 1548.3;
    String long_name "M1";
    String units "milligrams material per square meter per day (mg/m^2/day)";
  }
  M2 {
    Float32 actual_range 6.79, 1973.25;
    String long_name "M2";
    String units "milligrams material per square meter per day (mg/m^2/day)";
  }
  M3 {
    Float32 actual_range 0.86, 1956.98;
    String long_name "M3";
    String units "milligrams material per square meter per day (mg/m^2/day)";
  }
  M_avg {
    Float32 actual_range 0.43, 1527.97;
    String long_name "M_avg";
    String units "milligrams material per square meter per day (mg/m^2/day)";
  }
  C1 {
    Float32 actual_range 0.0, 872.53;
    String long_name "C1";
    String units "milligrams carbon per square meter per day (mgC/m^2/day)";
  }
  C2 {
    Float32 actual_range 0.0, 925.33;
    String long_name "C2";
    String units "milligrams carbon per square meter per day (mgC/m^2/day)";
  }
  C3 {
    Float32 actual_range 0.09, 952.6;
    String long_name "C3";
    String units "milligrams carbon per square meter per day (mgC/m^2/day)";
  }
  C_avg {
    Float32 actual_range 0.05, 912.57;
    String long_name "C_avg";
    String units "milligrams carbon per square meter per day (mgC/m^2/day)";
  }
  N1 {
    Float32 actual_range 0.0, 154.69;
    String long_name "N1";
    String units "milligrams nitrogen per square meter per day (mgN/m^2/day)";
  }
  N2 {
    Float32 actual_range 0.0, 129.53;
    String long_name "N2";
    String units "milligrams nitrogen per square meter per day (mgN/m^2/day)";
  }
  N3 {
    Float32 actual_range 0.0, 147.27;
    String long_name "N3";
    String units "milligrams nitrogen per square meter per day (mgN/m^2/day)";
  }
  N_avg {
    Float32 actual_range 0.0, 150.98;
    String long_name "N_avg";
    String units "milligrams nitrogen per square meter per day (mgN/m^2/day)";
  }
  P1 {
    Float32 actual_range 1.0e-4, 0.1419;
    String long_name "P1";
    String units "millimoles phosphorus per square meter per day (mmolP/m^2/day)";
  }
  P2 {
    Float32 actual_range 1.0e-4, 0.1455;
    String long_name "P2";
    String units "millimoles phosphorus per square meter per day (mmolP/m^2/day)";
  }
  P3 {
    Float32 actual_range 0.0, 0.1593;
    String long_name "P3";
    String units "millimoles phosphorus per square meter per day (mmolP/m^2/day)";
  }
  P_avg {
    Float32 actual_range 2.0e-4, 0.1489;
    String long_name "P_avg";
    String units "millimoles phosphorus per square meter per day (mmolP/m^2/day)";
  }
  FBC1 {
    Float32 actual_range 0.0, 559.02;
    String long_name "Fbc1";
    String units "milligrams carbon per square meter per day (mgC/m^2/day)";
  }
  FBC2 {
    Float32 actual_range 0.12, 713.08;
    String long_name "Fbc2";
    String units "milligrams carbon per square meter per day (mgC/m^2/day)";
  }
  FBC3 {
    Float32 actual_range 0.04, 725.59;
    String long_name "Fbc3";
    String units "milligrams carbon per square meter per day (mgC/m^2/day)";
  }
  FBC_avg {
    Float32 actual_range 0.07, 642.31;
    String long_name "Fbc_avg";
    String units "milligrams carbon per square meter per day (mgC/m^2/day)";
  }
  FBN1 {
    Float32 actual_range 0.0, 121.63;
    String long_name "Fbn1";
    String units "milligrams nitrogen per square meter per day (mgN/m^2/day)";
  }
  FBN2 {
    Float32 actual_range 0.03, 107.52;
    String long_name "Fbn2";
    String units "milligrams nitrogen per square meter per day (mgN/m^2/day)";
  }
  FBN3 {
    Float32 actual_range 0.02, 123.63;
    String long_name "Fbn3";
    String units "milligrams nitrogen per square meter per day (mgN/m^2/day)";
  }
  FBN_avg {
    Float32 actual_range 0.01, 101.24;
    String long_name "Fbn_avg";
    String units "milligrams nitrogen per square meter per day (mgN/m^2/day)";
  }
 }
  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 doi "10.26008/1912/bco-dmo.894099.6";
    Float64 Easternmost_Easting -63.98;
    Float64 geospatial_lat_max 32.013;
    Float64 geospatial_lat_min 31.544;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -63.98;
    Float64 geospatial_lon_min -64.298;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 400.0;
    Float64 geospatial_vertical_min 150.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-07-16T04:34:09Z (local files)
2025-07-16T04:34:09Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_894099_v6.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/894099";
    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 32.013;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 31.544;
    String summary "Data presented here contain elemental sinking fluxes of carbon, nitrogen, and phosphorus (C, N, P) from the Bermuda Atlantic Time-series Study site from December 1988 (BATS Cruise 3) through December 2024 (BATS cruise 422). The BATS program uses a method developed by Knauer et al. (1979) which was used extensively in the VERTEX program. In summary, to trap oceanic sediment flux, BATS uses a floating array comprised of polycarbonate tubes (7 cm diameter by 53 cm height) containing a buffered brine solution, with polycarbonate filters at the bottom to collect flux. Four tubes are deployed at each depth (150, 200, and 300 meters) and three additional tubes for blank counts are prepared but not deployed. The floating sediment trap array with collection tubes is deployed during monthly BATS cruises for a target time of 72 hours, but deployment time is subject to change depending on weather and/or emergency conditions. After recovery, the filters are examined under a microscope to remove swimming zooplankton caught on the traps to prevent skewed end results. Three samples from each depth are acidified to remove inorganic carbon before measuring organic carbon and nitrogen using a CE440 Elemental Analyzer, while the remaining non-acidified sample is used for total carbon estimates. Additional tubes are also prepared and deployed (three per depth) for phosphorus samples that are analyzed at Bigelow Laboratory of Ocean Sciences using a separate analytical procedure supervised by Dr. Michael Lomas.";
    String title "[BATS sediment trap particle flux] - Determination of carbon, nitrogen, and phosphorus content in sinking particles at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 to December 2024 using a Particle Interceptor Trap System (PITS) (Bermuda Atlantic Time-series Study)";
    Float64 Westernmost_Easting -64.298;
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.

• (easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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