Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | [Combined Selfish Bacteria Cell Counts 2023-2024] - Cell counts exhibiting ' Selfish' uptake in the Western North Atlantic, in Danish Coastal Seawater, and Abyssopelagic Waters off the Eastern Coast of Japan under varying hydrostatic pressures, 2023-2024 (Collaborative Research: Pressure effects on microbially- catalyzed organic matter degradation in the deep ocean) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_963393_v1) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Files
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Attributes {
s {
deployment {
String long_name "Deployment";
String units "unitless";
}
station {
String long_name "Station";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float32 actual_range 34.0126, 55.975;
String axis "Y";
String ioos_category "Location";
String long_name "Latitude_n";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float32 actual_range -73.0271, 141.8606;
String axis "X";
String ioos_category "Location";
String long_name "Longitude_e";
String standard_name "longitude";
String units "degrees_east";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.696988043e+9, 1.71639072e+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";
}
date {
String long_name "Date";
String units "unitless";
}
time_local {
String long_name "Time_local";
String units "unitless";
}
cast_number {
String long_name "Cast_number";
String units "unitless";
}
depth_description {
String long_name "Depth_description";
String units "unitless";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Int32 actual_range 10, 5200;
String axis "Z";
String ioos_category "Location";
String long_name "Depth_actual";
String positive "down";
String standard_name "depth";
String units "m";
}
insitu_temp {
Float32 actual_range 1.5, 26.6;
String long_name "Insitu_temp";
String units "degrees Celsius";
}
sample_type {
String long_name "Sample_type";
String units "unitless";
}
incubation_type {
String long_name "Incubation_type";
String units "unitless";
}
incubation_pressure {
Float32 actual_range 0.1, 52.0;
String long_name "Incubation_pressure";
String units "MPa";
}
incubation_temp {
Int32 actual_range 4, 52;
String long_name "Incubation_temp";
String units "degrees Celsius";
}
unamended_amended {
String long_name "Unamended_amended";
String units "unitless";
}
substrate {
String long_name "Substrate";
String units "unitless";
}
replicate {
Int32 actual_range 1, 4;
String long_name "Replicate";
String units "unitless";
}
timepoint {
Int32 actual_range 0, 2;
String long_name "Timepoint";
String units "unitless";
}
timepoint_days {
Int32 actual_range 0, 12;
String long_name "Timepoint_days";
String units "days";
}
fields_of_view {
Int32 actual_range 1, 99;
String long_name "Fields_of_view";
String units "unitless";
}
SB_Abundance {
Float32 actual_range 0.0, 112000.0;
String long_name "Sb_abundance";
String units "Cells mL-1";
}
Total_Abundance {
Float32 actual_range 4980.0, 3020000.0;
String long_name "Total_abundance";
String units "Cells mL-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.963393.1";
Float64 Easternmost_Easting 141.8606;
Float64 geospatial_lat_max 55.975;
Float64 geospatial_lat_min 34.0126;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max 141.8606;
Float64 geospatial_lon_min -73.0271;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 5200.0;
Float64 geospatial_vertical_min 10.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2025-08-02T17:38:59Z (local files)
2025-08-02T17:38:59Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963393_v1.html";
String infoUrl "https://osprey.bco-dmo.org/dataset/963393";
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 55.975;
String sourceUrl "(local files)";
Float64 Southernmost_Northing 34.0126;
String summary
"Heterotrophic bacteria and archaea (here: microbes) are critical drivers of the ocean's biogeochemical cycles, active throughout the depth of the ocean. Their capabilities and limitations help determine the rates and locations at which carbon and nutrients are regenerated, as well as the extent to which organic matter is preserved (Hedges 1992). In the deep ocean, at bathy- and abyssopelagic depths (ca. 1000-6000m), these communities are dependent upon the sinking flux of particulate organic matter (POM) from the surface ocean (Bergauer et al. 2018). This dependence means that heterotrophic microbial communities must produce the extracellular enzymes required to solubilize and hydrolyze high molecular weight (HMW) POM to sizes substrates suitable for cellular uptake. A recent global-scale investigation of deep-sea microbes in fact found that the genetic potential for exported (extracellular) enzymes among bacteria in deep waters was far greater than for communities in surface or mesopelagic waters (Zhao et al. 2020). We have new evidence that a substantial fraction of bacteria in bottom water from the North Atlantic Ocean use a specialized set of extracellular enzymes to rapidly take up HMW polysaccharides (Giljan et al. 2022), a substrate processing mechanism that would not be detected with the low molecular weight substrates used in most prior studies of microbial activity in the deep ocean (Nagata et al. 2010).
Through our collaboration with the Danish Center for Hadal Research, we were able to use pressurization systems and in situ specialized equipment to investigate the effects of pressures characteristic of bathy- and abyssopelagic depths on microbial communities and their extracellular enzymes in the open North Atlantic Ocean, in Danish Coastal Seawater, and abyssopelagic waters off the Eastern Coast of Japan.
Here we present, in collaboration with colleagues from the Max Planck Institute for Marine Microbiology, the detection and quantification of microbial cells exhibiting selfish uptake behavior of fluorescently-labeled HMW polysaccharides. This dataset includes sample collection metadata, environmental variables, experimental variables, the number of cells detected exhibiting 'selfish' uptake, and total cellular abundance.";
String time_coverage_end "2024-05-22T15:12:00Z";
String time_coverage_start "2023-10-11T01:34:03Z";
String title "[Combined Selfish Bacteria Cell Counts 2023-2024] - Cell counts exhibiting 'Selfish' uptake in the Western North Atlantic, in Danish Coastal Seawater, and Abyssopelagic Waters off the Eastern Coast of Japan under varying hydrostatic pressures, 2023-2024 (Collaborative Research: Pressure effects on microbially-catalyzed organic matter degradation in the deep ocean)";
Float64 Westernmost_Easting -73.0271;
}
}
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.