Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | [MOCNESS_biovols] - Plankton biovolume data from MOCNESS tows, 2001-2002 NBPalmer cruises NBP0103, NBP0104, NBP0202, NBP0204 from the Southern Ocean (SOGLOBEC project) (U.S. GLOBEC Southern Ocean) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_2372) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
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Attributes {
s {
cruiseid {
String bcodmo_name "cruiseid";
String description "cruise id, e.g. NBP0202, for RVIB Palmer cruise 0202";
String long_name "Cruiseid";
}
year {
Int16 _FillValue 32767;
Int16 actual_range 2001, 2002;
String bcodmo_name "year";
String description "year of cruise";
String long_name "Year";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
}
tow {
String bcodmo_name "tow";
String description "Tow number";
String long_name "Tow";
}
month_local {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 4, 9;
String bcodmo_name "month_local";
String description "month of year, local time";
String long_name "Month Local";
}
day_local {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 31;
String bcodmo_name "day_local";
String description "day of month, local time";
String long_name "Day Local";
}
time_local {
Int16 _FillValue 32767;
Int16 actual_range 35, 2328;
String bcodmo_name "time_local";
String description "local time";
String long_name "Time Local";
String units "hhmm";
}
event {
String bcodmo_name "event";
String description "event number from cruise event log; unique ID";
String long_name "Event";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
}
station {
String bcodmo_name "station";
String description "consecutive station number, from event log";
String long_name "Station";
}
station_std {
Float32 _FillValue NaN;
Float32 actual_range 61.18, 501.18;
String bcodmo_name "station_std";
String description "standard station number, from event log";
String long_name "Station Std";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range -69.243, -65.147;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "latitude, negative = 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 -75.732, -65.529;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "longitude, negative = 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";
}
depth_w {
Int16 _FillValue 32767;
Int16 actual_range 242, 3650;
String bcodmo_name "depth_w";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth of water at the start of tow";
String long_name "Depth";
String standard_name "depth";
String units "meters";
}
region {
String bcodmo_name "region";
String description "geographic area of sampling. e.g. northeast shelf or off-shelf";
String long_name "Region";
}
net {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 8;
String bcodmo_name "net";
String description "sequential MOCNESS net number";
String long_name "Net";
}
depth_open {
Int16 _FillValue 32767;
Int16 actual_range 20, 1000;
String bcodmo_name "depth_open";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth each net was opened";
String long_name "Depth";
String standard_name "depth";
String units "meters";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 0.0, 800.0;
String axis "Z";
String bcodmo_name "depth_close";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth each net was closed";
String ioos_category "Location";
String long_name "Depth";
String positive "down";
String standard_name "depth";
String units "m";
}
depth_mid {
Float32 _FillValue NaN;
Float32 actual_range 10.0, 900.0;
String bcodmo_name "depth_mid";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "mid-depth of strata sampled by net";
String long_name "Depth";
String standard_name "depth";
String units "meters";
}
depth_interval {
Int16 _FillValue 32767;
Int16 actual_range 10, 395;
String bcodmo_name "depth_interval";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth interval of strata sampled by net; water column thickness or layer";
String long_name "Depth";
String standard_name "depth";
String units "meters";
}
vol_filt {
Float32 _FillValue NaN;
Float32 actual_range 72.1, 1577.0;
String bcodmo_name "vol_filt";
String description "volume filtered";
String long_name "Vol Filt";
String units "m3";
}
displ_vol {
Float32 _FillValue NaN;
Float32 actual_range 0.1, 492.0;
String bcodmo_name "disp_vol";
String description "displacement volume (biovolume)1";
String long_name "Displ Vol";
String units "cm3/100m3";
}
displ_vol_integ {
Float32 _FillValue NaN;
Float32 actual_range 0.0604, 103.3158;
String bcodmo_name "disp_vol_integ";
String description "integrated displacement volume for a single net sample over depth sampled by that net";
String long_name "Displ Vol Integ";
String units "cm3/m2";
}
dry_wgt {
Float32 _FillValue NaN;
Float32 actual_range 0.7, 3558.7;
String bcodmo_name "dry_wgt";
String description "dry weight2";
String long_name "DRY WGT";
String units "mg/m3";
}
dry_wgt_integ {
Float32 _FillValue NaN;
Float32 actual_range 45.0, 74733.0;
String bcodmo_name "dry_wgt_integ";
String description "integrated dry weight for a single net sample over depth sampled by that net";
String long_name "Dry Wgt Integ";
String units "mg/m2";
}
dry_wgt_total {
Int32 _FillValue 2147483647;
Int32 actual_range 6177, 166424;
String bcodmo_name "dry_wgt_total";
String description "total dry weight for the entire sampled water column";
String long_name "Dry Wgt Total";
String units "mg/m2";
}
comments {
String bcodmo_name "comment";
String description "clarification of data";
String long_name "Comments";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"This data set is derived from displacement volume measurements and dry weight
conversion calculations. The MOCNESS-1 plankton sampler has nine rectangular
nets (1m x 1.4 m) with a mesh size of 0.333 mm, which are opened and closed
sequentially by commands through conducting cable from the surface (Wiebe et
al., 1976).
Methods:
Displacement volume measurement: The entire sample plus liquid was measured
in a large graduated cylinder then poured through a sieve into a second
cylinder. The difference in volume is the displacement volume.
Detailed instructions:
Measuring Displacement Volume
Supplies: rubber gloves, safety goggles, 2 1-liter graduated cylinders, 2
smaller graduated cylinders (25 to 100 ml), 2 funnels: 1 wide-necked open
funnel and 1 small-necked one with mesh attached to the inside or a sieve that
fits inside the small-necked funnel, squeeze bottles (water and formalin or
other preservative), sieve of mesh size equal to or smaller than that on
sampling net.
Put on rubber gloves
Remove jars for 1 net from sample box (may be from one to many jars for a
single net sample)
Fill in the data sheet with MOC tow#, date, and net#. jar#
Take first sample to hood. Put on safety goggles.
Remove lid and internal label with long forceps. Get most of zooplankton off
by dipping into jar and place label inside lid after checking that internal
label agrees with lid label.
Remove large (>5cc) animals (medusae, some fish or shrimp) and measure their
displacement volume in the small graduated cylinders:
-Put animal and enough liquid to cover in one small graduated cylinder.-Note
this volume on
data sheet.
-Place small sieve in small funnel and set them on top of second empty small
grad graduated cylinder.
-Pour animal plus liquid into sieve and let drain.
-Note this volume on data sheet as well as the type of animal.
-Return the specimen to the main sample.
Pour the large sample into the 1-liter graduated cylinder using the open
funnel on top (no mesh in funnel). Rinse sparingly the jar, funnel and sides
of the graduated cylinder. Diluting the sample with water could cause it to
rot. Add a little water with the squeeze bottle to bring the level up to an
even line on the graduated cylinder.
Note this volume on the data sheet (sample + liquid)
Place the large funnel containing the sieve or mesh on top of the second,
empty graduated cylinder.
Pour the sample into the empty grad. Don't worry about animals stuck to the
sides of the first grad. Do not add any liquid to wash sample into the second
grad.
Swirl the funnel to remove excess liquid until most of liquid is done
dripping (about 1 minute, but varies sample to sample). Carefully drawing the
samples toward the center with large forceps is sometimes helpful.
Note this volume on data sheet (liquid vol.)
Rinse the graduated cylinder and the mesh-funnel into the sieve with the
hose and return most of the dry sample to the jar using the open funnel.
Use water from faucet with hose to wash the sample on sieve to one side and
then use squirt bottle of water (sparingly) or the preservative filled one to
rinse the sample from sieve to jar.
Add enough of the filtered formalin to fill the jar, dispose of remainder in
appropriate waste container.
- Check the sample's pH and add buffer (sodium borate or borax) if = 8.0.
- Replace cap, swirl if buffer of formalin was added, and rinse outside of
jar.
- Rinse everything well after each net sample.
Dry weight calculations:
dry weight = (dvol/(100.139))(1/1.003); [mg/m3]
integrated dry weight = depth interval * dry weight; [mg/m2]
total dry weight for the entire sampled water column = sum of integrated dry
weights for all nets for one tow; [mg/m2]";
String awards_0_award_nid "54617";
String awards_0_award_number "unknown SOGLOBEC NSF ANT";
String awards_0_funder_name "NSF Antarctic Sciences";
String awards_0_funding_acronym "NSF ANT";
String awards_0_funding_source_nid "369";
String cdm_data_type "Other";
String comment
"SO-GLOBEC MOCNESS biovolume data\t
displacement volumes and dry weight calculations for MOCNESS-1 samples\t
NJCopley Oct-25-2005";
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 "2010-06-16T20:40:39Z";
String date_modified "2019-02-04T19:42:39Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.2372.1";
Float64 Easternmost_Easting -65.529;
Float64 geospatial_lat_max -65.147;
Float64 geospatial_lat_min -69.243;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -65.529;
Float64 geospatial_lon_min -75.732;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 800.0;
Float64 geospatial_vertical_min 0.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-12-03T17:11:34Z (local files)
2024-12-03T17:11:34Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2372.html";
String infoUrl "https://www.bco-dmo.org/dataset/2372";
String institution "BCO-DMO";
String instruments_0_acronym "MOC1";
String instruments_0_dataset_instrument_description
"MOCNESS 1 meter square nets (150 and 335 micrometer mesh)
The MOCNESS-1 plankton sampler has nine rectangular nets (1m x 1.4 m) with a mesh size of 0.333 mm, which are opened and closed sequentially by commands through conducting cable from the surface";
String instruments_0_dataset_instrument_nid "4180";
String instruments_0_description "The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. The MOCNESS-1 carries nine 1-m2 nets usually of 335 micrometer mesh and is intended for use with the macrozooplankton. All nets are black to reduce contrast with the background. A motor/toggle release assembly is mounted on the top portion of the frame and stainless steel cables with swaged fittings are used to attach the net bar to the toggle release. A stepping motor in a pressure compensated case filled with oil turns the escapement crankshaft of the toggle release which sequentially releases the nets to an open then closed position on command from the surface. -- from the MOCNESS Operations Manual (1999 + 2003).";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
String instruments_0_instrument_name "MOCNESS1";
String instruments_0_instrument_nid "437";
String instruments_0_supplied_name "MOCNESS1";
String keywords "bco, bco-dmo, biological, chemical, comments, cruiseid, data, dataset, day, day_local, depth, depth_close, depth_interval, depth_mid, depth_open, depth_w, displ, displ_vol, displ_vol_integ, dmo, dry, dry_wgt, dry_wgt_integ, dry_wgt_total, erddap, event, filt, integ, latitude, local, longitude, management, month, month_local, net, oceanography, office, preliminary, profiler, region, salinity, salinity-temperature-depth, station, station_std, std, temperature, time, time_local, total, tow, vol, vol_filt, wgt, year";
String license "https://www.bco-dmo.org/dataset/2372/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/2372";
Float64 Northernmost_Northing -65.147;
String param_mapping "{'2372': {'lat': 'master - latitude', 'lon': 'master - longitude', 'depth_close': 'flag - depth'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2372/parameters";
String people_0_affiliation "Woods Hole Oceanographic Institution";
String people_0_affiliation_acronym "WHOI";
String people_0_person_name "Peter H. Wiebe";
String people_0_person_nid "50454";
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";
String people_1_person_name "Nancy Copley";
String people_1_person_nid "50396";
String people_1_role "Technician";
String people_1_role_type "related";
String people_2_affiliation "Woods Hole Oceanographic Institution";
String people_2_affiliation_acronym "WHOI BCO-DMO";
String people_2_person_name "Nancy Copley";
String people_2_person_nid "50396";
String people_2_role "BCO-DMO Data Manager";
String people_2_role_type "related";
String project "SOGLOBEC";
String projects_0_acronym "SOGLOBEC";
String projects_0_description "The fundamental objectives of United States Global Ocean Ecosystems Dynamics (U.S. GLOBEC) Program are dependent upon the cooperation of scientists from several disciplines. Physicists, biologists, and chemists must make use of data collected during U.S. GLOBEC field programs to further our understanding of the interplay of physics, biology, and chemistry. Our objectives require quantitative analysis of interdisciplinary data sets and, therefore, data must be exchanged between researchers. To extract the full scientific value, data must be made available to the scientific community on a timely basis.";
String projects_0_geolocation "Southern Ocean";
String projects_0_name "U.S. GLOBEC Southern Ocean";
String projects_0_project_nid "2039";
String projects_0_project_website "http://www.ccpo.odu.edu/Research/globec_menu.html";
String projects_0_start_date "2001-01";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing -69.243;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "This data set is derived from displacement volume measurements and dry weight conversion calculations of plankton samples collected by a MOCNESS-1 on the RV/N.B.Palmer cruises NBP0103, NBP0104, NBP0202, NBP0204 from the Southern Ocean in austral fall/winter of 2001 and 2002.";
String title "[MOCNESS_biovols] - Plankton biovolume data from MOCNESS tows, 2001-2002 NBPalmer cruises NBP0103, NBP0104, NBP0202, NBP0204 from the Southern Ocean (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)";
String version "1";
Float64 Westernmost_Easting -75.732;
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.