Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | [global] - Calculated power from the oxidation of necromass that is produced in marine sediment on a global scale. (Develop a 1D biogeochemical-evolutionary model for deep sediments) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_784480) |
| Range: | longitude = -153.1 to -153.1°E, latitude = -41.85 to -41.85°N |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Subset
| Data Access Form
| Files
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Click on the map to specify a new center point.
Zoom: ![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_784480.png?longitude,latitude,Depth_below_SWI&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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Attributes {
s {
Depth_below_SWI {
Float32 _FillValue NaN;
Float32 actual_range 0.05, 10000.0;
String bcodmo_name "depth_bsf";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth below sea water interface";
String long_name "Depth";
String standard_name "depth";
String units "meters (m)";
}
Sediment_Age {
Float64 _FillValue NaN;
Float64 actual_range 462.17362763238, 2.82732657601158e+8;
String bcodmo_name "age";
String description "sediment age";
String long_name "Sediment Age";
String units "years";
}
Power_law_cells {
Float64 _FillValue NaN;
Float64 actual_range 138626.800354014, 7.28683970818064e+8;
String bcodmo_name "unknown";
String description "power law cells";
String long_name "Power Law Cells";
String units "cells per centimeter cubed (cells/cm3)";
}
Necromas {
Float64 _FillValue NaN;
Float64 actual_range 3.1526348649e-4, 1013763.16258113;
String bcodmo_name "unknown";
String description "Necromass";
String long_name "Necromas";
String units "cells per centimeter cubed per year (cells/cm3/yr)";
}
Death_rate {
Float64 _FillValue NaN;
Float64 actual_range 2.27419e-9, 0.00139122473278;
String bcodmo_name "unknown";
String description "death rate";
String long_name "Death Rate";
String units "per year (yr-1)";
}
Power_cell_size_small {
Float64 _FillValue NaN;
Float64 actual_range 6.210748741e-5, 199713.209907403;
String bcodmo_name "unknown";
String description "Power available from necromass oxidation. Temp: 21.1 C; Electron acceptor: oxygen; Power cell size small";
String long_name "Power Cell Size Small";
String units "nanoJoules per year (nJ/yr)";
}
Power_cell_size_medium {
Float64 _FillValue NaN;
Float64 actual_range 1.7406804778e-4, 559734.260984443;
String bcodmo_name "unknown";
String description "Power available from necromass oxidation. Temp: 21.1 C; Electron acceptor: oxygen; Power cell size medium";
String long_name "Power Cell Size Medium";
String units "nanoJoules per year (nJ/yr)";
}
Power_cell_size_large {
Float64 _FillValue NaN;
Float64 actual_range 9.3396652324e-4, 3003268.36733566;
String bcodmo_name "unknown";
String description "Power available from necromass oxidation. Temp: 21.1 C; Electron acceptor: oxygen; Power cell size large";
String long_name "Power Cell Size Large";
String units "nanoJoules per year (nJ/yr)";
}
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
"Necromass as a limited source of energy for microorganisms in marine sediments (site U1370)
PI: James Bradley
Version: 2019-10-04";
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 "2019-12-17T19:07:38Z";
String date_modified "2019-12-20T14:20:05Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.784480.1";
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
"2024-11-08T05:40:42Z (local files)
2024-11-08T05:40:42Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_784480.das";
String infoUrl "https://www.bco-dmo.org/dataset/784480";
String institution "BCO-DMO";
String keywords "age, bco, bco-dmo, biological, cell, cells, chemical, data, dataset, death, Death_rate, depth, Depth_below_SWI, dmo, erddap, large, latitude, law, longitude, management, medium, necromas, oceanography, office, power, Power_cell_size_large, Power_cell_size_medium, Power_cell_size_small, Power_law_cells, preliminary, rate, sediment, Sediment_Age, size, small";
String license "https://www.bco-dmo.org/dataset/784480/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/784480";
Float64 Northernmost_Northing -41.85;
String param_mapping "{'784480': {'lat': 'flag - latitude', 'lon': 'flag - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/784480/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 necromass that is produced in marine sediment on a global scale.";
String title "[global] - Calculated power from the oxidation of necromass that is produced in marine sediment on a global scale. (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";
}
}
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.
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.