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Dataset Title:  [single_cell] - Calculated power from the oxidation of biomolecules with
oxygen at South Pacific Gyre (hole U1370, IODP Expedition 329) (Develop a 1D
biogeochemical-evolutionary model for deep sediments)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_784530)
Range: longitude = -153.1 to -153.1°E, latitude = -41.85 to -41.85°N
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  Molecule {
    String bcodmo_name "unknown";
    String description "molecule name";
    String long_name "Molecule";
    String units "unitless";
  }
  Chemical_Formula {
    String bcodmo_name "unknown";
    String description "chemical formula";
    String long_name "Chemical Formula";
    String units "unitless";
  }
  Amount_of_biomolecule {
    Float64 _FillValue NaN;
    Float64 actual_range 2.1573012957098096e-19, 1.823685436834766e-17;
    String bcodmo_name "unknown";
    String description "Mass of biomolecule in cell";
    String long_name "Amount Of Biomolecule";
    String units "mole per cell (mole/cell)";
  }
  Energy {
    Float64 _FillValue NaN;
    Float64 actual_range 7.181766313553418e-13, 4.1875006302413007e-11;
    String bcodmo_name "unknown";
    String description "energy from oxidation of biomolecule with O2";
    String long_name "Energy";
    String units "picoJoules per cell (pJ/cell)";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -41.85, -41.85;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude with negative values indicating South";
    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 -153.1, -153.1;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude 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";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "\"\"";
    String awards_0_award_nid "554980";
    String awards_0_award_number "OCE-0939564";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0939564";
    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 
"Calculated power from the oxidation of biomolecules with oxygen at South Pacific Gyre (hole U1370, IODP Expedition 329) 
  PI: James Bradley 
  Version: 2019-12-17";
    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 "2019-12-17T19:50:35Z";
    String date_modified "2019-12-20T14:20:45Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.784530.1";
    Float64 Easternmost_Easting -153.1;
    Float64 geospatial_lat_max -41.85;
    Float64 geospatial_lat_min -41.85;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -153.1;
    Float64 geospatial_lon_min -153.1;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-10-08T03:04:44Z (local files)
2024-10-08T03:04:44Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_784530.das";
    String infoUrl "https://www.bco-dmo.org/dataset/784530";
    String institution "BCO-DMO";
    String keywords "amount, Amount_of_biomolecule, bco, bco-dmo, biological, biomolecule, chemical, Chemical_Formula, data, dataset, dmo, energy, erddap, formula, latitude, longitude, management, molecule, oceanography, office, preliminary";
    String license "https://www.bco-dmo.org/dataset/784530/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/784530";
    Float64 Northernmost_Northing -41.85;
    String param_mapping "{'784530': {'lat': 'flag - latitude', 'lon': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/784530/parameters";
    String people_0_affiliation "University of Southern California";
    String people_0_affiliation_acronym "USC";
    String people_0_person_name "James Bradley";
    String people_0_person_nid "776340";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Southern California";
    String people_1_affiliation_acronym "USC";
    String people_1_person_name "Doug LaRowe";
    String people_1_person_nid "776342";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Mathew Biddle";
    String people_2_person_nid "708682";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "BIO-SED";
    String projects_0_acronym "BIO-SED";
    String projects_0_description 
"Abstract (from C-DEBI, www.darkenergybiosphere.org)
Microorganisms buried in marine sediments endure prolonged energy-limitation over geological timescales. My research within C-DEBI is motivated by the quest to determine and understand activity levels among microbial communities in the marine subsurface in relation to their geochemical and physical environment. To this end, in collaboration with Doug LaRowe and Jan Amend (USC), I developed novel modelling frameworks based on thermodynamic and microbial-modelling principles to explore and quantify:
The energy sources to deeply buried microorganisms and their demand for energy.
The activity of microorganisms and the factors that determine physiological transitions between active and dormant states.
The varying energy requirements of active and dormant microbes and the allocation of energy between maintenance and growth.
The cell-specific energy utilization (i.e. power) of subsurface life on a global scale.
I led the development of a new freely-available and open-source platform MicroLow 1.0 – a process-based microbial model that explicitly considers physiological state transitions and energy for maintenance and growth. Using this model, I showed that energetic efficiency provides a selective advantage for long-term microbial survival in oligotrophic marine sediments. Numerous additional opportunities have arisen thanks to the C-DEBI program and community, including participation in two collaborative workshops (organic carbon preservation, impacts of deep sea mining), numerous valuable interactions, ongoing collaborations and spin-off projects, presentations at international conferences, professional development opportunities, media exposure, complementary funding including a Deep Carbon Observatory DLMV Fellowship, significant widening of my professional network, fieldwork opportunities, and career progression.";
    String projects_0_end_date "2019-03";
    String projects_0_name "Develop a 1D biogeochemical-evolutionary model for deep sediments";
    String projects_0_project_nid "776336";
    String projects_0_project_website "https://www.darkenergybiosphere.org/award/develop-a-1d-biogeochemical-evolutionary-model-for-deep-sediments/";
    String projects_0_start_date "2016-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -41.85;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "latitude,longitude";
    String summary "Calculated power from the oxidation of biomolecules with oxygen at South Pacific Gyre (hole U1370, IODP Expedition 329)";
    String title "[single_cell] - Calculated power from the oxidation of biomolecules with oxygen at South Pacific Gyre (hole U1370, IODP Expedition 329) (Develop a 1D biogeochemical-evolutionary model for deep sediments)";
    String version "1";
    Float64 Westernmost_Easting -153.1;
    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.


 
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