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

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Sediment trap flux collected from R/V Atlantic Explorer cruises AE1102,
AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series
Station from 2011-2012 (Trophic BATS project)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3935)
Range: longitude = -65.77848 to -63.5012°E, latitude = 29.5879 to 33.469868°N, depth = 150.0 to 300.0m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
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.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
[The graph you specified. Please be patient.]

 

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 {
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "Official cruise identifier e.g. AE1102 = R/V Atlantic Explorer cruise number 1102.";
    String long_name "Cruise Id";
    String units "text";
  }
  deployment_no {
    Byte _FillValue 127;
    Byte actual_range 1, 8;
    String bcodmo_name "deploy";
    String description "Sequential trap deployment number within cruise.";
    String long_name "Deployment No";
    String units "integer";
  }
  date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20110224, 20120726;
    String bcodmo_name "date";
    String description "Date traps deployed in YYYYmmdd format.";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  month {
    String bcodmo_name "month";
    String description "2-digit month when traps were deployed.";
    String long_name "Month";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "mm (01 to 12)";
  }
  day {
    String bcodmo_name "day";
    String description "2-digit day of month when traps were deployed.";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "dd (01 to 31)";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2011, 2012;
    String bcodmo_name "year";
    String description "Year when traps were deployed in YYYY format.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 29.5879, 33.46986667;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of trap deployment, positive is 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 -65.77848, -63.5012;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of trap deployment, West in negative.";
    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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 150.0, 300.0;
    String axis "Z";
    String bcodmo_name "depth_trap";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth of individual sediment trap arrays.";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  mass_flux {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 345.23;
    String bcodmo_name "unknown";
    String description "Total mass flux in milligrams per square-meter per day.";
    String long_name "Mass Flux";
    String units "mg/m^2/d";
  }
  POC_flux {
    Float32 _FillValue NaN;
    Float32 actual_range 1.56, 71.6;
    String bcodmo_name "unknown";
    String description "Particulate organic carbon flux in milligrams per square-meter per day.";
    String long_name "POC Flux";
    String units "mg/m^2/d";
  }
  PON_flux {
    Float32 _FillValue NaN;
    Float32 actual_range 0.16, 8.73;
    String bcodmo_name "unknown";
    String description "Particulate organic nitrogen flux in milligrams per square-meter per day.";
    String long_name "PON Flux";
    String units "mg/m^2/d";
  }
  particulate_P_flux {
    Float32 _FillValue NaN;
    Float32 actual_range 0.011, 0.94;
    String bcodmo_name "unknown";
    String description "Particulate phosphorus flux in milligrams per square-meter per day.";
    String long_name "Particulate P Flux";
    String units "mg/m^2/d";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Samples for particles flux measurements were obtained using free-drifting
cylindrical traps (MultiPITs) deployed at 150, 200, and 300 meters depth.
Sinking fluxes of C, N, and P were calculated from the elemental mass of
material captured in the sediment trap, its collection surface area and
deployment length. Detailed methods for all data collected as part of this
study can be found in the publications arising from this study (references
given below).
 
Sample QA/QC procedures followed those given in the associated manuscripts.
Sample accuracy was assessed by using certified standards, for those
measurements where standards are available. Certified standards were run with
each analytical run and compared to long term control charts for respective
analyses.
 
Detailed information on analyses:  
 Lomas, M.W., Burke, A., Lomas, D.A., Bell, D.W., Shen, C., Ammerman, J.W.,
Dyhrman, S.T. 2010.\\u00a0 Sargasso Sea phosphorus biogeochemistry: An
important role for dissolved organic phosphorus (DOP). Biogeosciences 7:
695-710. doi:
[10.5194/bg-7-695-2010](\\\\\"https://dx.doi.org/10.5194/bg-7-695-2010\\\\\")  
 Lomas, M.W., Bates, N.R., Johnson, R.J., Knap, A.H., Steinberg, D.K.,
Carlson, C.A. 2013. Two decades and counting: overview of 24-years of
sustained open ocean biogeochemical measurements. Deep Sea Research II doi:
[10.1016/j.dsr2.2013.01.008](\\\\\"https://dx.doi.org/10.1016/j.dsr2.2013.01.008\\\\\").";
    String awards_0_award_nid "54810";
    String awards_0_award_number "OCE-1030149";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1030149";
    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 
"Sediment Trap Flux data collected on Trophic BATS cruises 
 Project: Trophic BATS 
 Dataset PI: Michael Lomas (Bigelow Laboratory for Ocean Sciences) 
 Version: 01 May 2013";
    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 "2013-05-01T17:26:04Z";
    String date_modified "2019-11-06T14:53:10Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3935.1";
    Float64 Easternmost_Easting -63.5012;
    Float64 geospatial_lat_max 33.46986667;
    Float64 geospatial_lat_min 29.5879;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -63.5012;
    Float64 geospatial_lon_min -65.77848;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 300.0;
    Float64 geospatial_vertical_min 150.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-25T10:16:07Z (local files)
2024-04-25T10:16:07Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3935.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3935";
    String institution "BCO-DMO";
    String instruments_0_acronym "Sed Trap - Part Int";
    String instruments_0_dataset_instrument_nid "6160";
    String instruments_0_description "A Particle Interceptor Trap is a prototype sediment trap designed in the mid 1990s to segregate 'swimmers' from sinking particulate material sampled from the water column. The prototype trap used 'segregation plates' to deflect and segregate 'swimmers' while a series of funnels collected sinking particles in a chamber (see Dennis A. Hansell and Jan A. Newton. September 1994. Design and Evaluation of a \"Swimmer\"-Segregating Particle Interceptor Trap, Limnology and Oceanography, Vol. 39, No. 6, pp. 1487-1495).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/33/";
    String instruments_0_instrument_name "Sediment Trap - Particle Interceptor";
    String instruments_0_instrument_nid "550";
    String instruments_0_supplied_name "Sediment Trap - Particle Interceptor";
    String keywords "bco, bco-dmo, biological, chemical, cruise, cruise_id, data, dataset, date, day, deployment, deployment_no, depth, dmo, erddap, flux, latitude, longitude, management, mass, mass_flux, month, oceanography, office, particulate, particulate_P_flux, poc, POC_flux, pon, PON_flux, preliminary, year";
    String license "https://www.bco-dmo.org/dataset/3935/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3935";
    Float64 Northernmost_Northing 33.46986667;
    String param_mapping "{'3935': {'lat': 'flag - latitude', 'depth': 'flag - depth', 'lon': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3935/parameters";
    String people_0_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_0_person_name "Michael W. Lomas";
    String people_0_person_nid "50776";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Trophic BATS";
    String projects_0_acronym "Trophic BATS";
    String projects_0_description 
"Fluxes of particulate carbon from the surface ocean are greatly influenced by the size, taxonomic composition and trophic interactions of the resident planktonic community. Large and/or heavily-ballasted phytoplankton such as diatoms and coccolithophores are key contributors to carbon export due to their high sinking rates and direct routes of export through large zooplankton. The potential contributions of small, unballasted phytoplankton, through aggregation and/or trophic re-packaging, have been recognized more recently. This recognition comes as direct observations in the field show unexpected trends. In the Sargasso Sea, for example, shallow carbon export has increased in the last decade but the corresponding shift in phytoplankton community composition during this time has not been towards larger cells like diatoms. Instead, the abundance of the picoplanktonic cyanobacterium, Synechococccus, has increased significantly. The trophic pathways that link the increased abundance of Synechococcus to carbon export have not been characterized. These observations helped to frame the overarching research question, \"How do plankton size, community composition and trophic interactions modify carbon export from the euphotic zone\". Since small phytoplankton are responsible for the majority of primary production in oligotrophic subtropical gyres, the trophic interactions that include them must be characterized in order to achieve a mechanistic understanding of the function of the biological pump in the oligotrophic regions of the ocean.
This requires a complete characterization of the major organisms and their rates of production and consumption. Accordingly, the research objectives are: 1) to characterize (qualitatively and quantitatively) trophic interactions between major plankton groups in the euphotic zone and rates of, and contributors to, carbon export and 2) to develop a constrained food web model, based on these data, that will allow us to better understand current and predict near-future patterns in export production in the Sargasso Sea.
The investigators will use a combination of field-based process studies and food web modeling to quantify rates of carbon exchange between key components of the ecosystem at the Bermuda Atlantic Time-series Study (BATS) site. Measurements will include a novel DNA-based approach to characterizing and quantifying planktonic contributors to carbon export. The well-documented seasonal variability at BATS and the occurrence of mesoscale eddies will be used as a natural laboratory in which to study ecosystems of different structure. This study is unique in that it aims to characterize multiple food web interactions and carbon export simultaneously and over similar time and space scales. A key strength of the proposed research is also the tight connection and feedback between the data collection and modeling components.
Characterizing the complex interactions between the biological community and export production is critical for predicting changes in phytoplankton species dominance, trophic relationships and export production that might occur under scenarios of climate-related changes in ocean circulation and mixing. The results from this research may also contribute to understanding of the biological mechanisms that drive current regional to basin scale variability in carbon export in oligotrophic gyres.";
    String projects_0_end_date "2014-09";
    String projects_0_geolocation "Sargasso Sea, BATS site";
    String projects_0_name "Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea";
    String projects_0_project_nid "2150";
    String projects_0_start_date "2010-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 29.5879;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Sediment trap flux collected from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station from 2011-2012.";
    String title "Sediment trap flux collected from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station from 2011-2012 (Trophic BATS project)";
    String version "1";
    Float64 Westernmost_Easting -65.77848;
    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