Accessing BCO-DMO data
Brought to you by BCO-DMO
|
|
BCO-DMO ERDDAP
Accessing BCO-DMO data |
log in
Brought to you by BCO-DMO |
| Dataset Title: | [MOC1 zoop abund] - MOCNESS-1 Plankton Abundances from the R/V Wecoma, R/V New Horizon W0004B, NH0005, W0007A, NH0007, W0009A, W0204A, W0205A from the Northeast Pacific, 2000 and 2002 (NEP project) (U.S. GLOBEC Northeast Pacific) 
|
| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_2454) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Subset
| Files
| Make a graph
|
Attributes {
s {
cruise_id {
String bcodmo_name "cruiseid";
String description "Cruise ID.";
String long_name "Cruise Id";
String units "n/a";
}
year {
Int16 _FillValue 32767;
Int16 actual_range 2000, 2002;
String bcodmo_name "year";
String description "Year";
String long_name "Year";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
String units "n/a";
}
program {
String bcodmo_name "unknown";
String description "See codes in table above (in 'Data Description' section).";
String long_name "Program";
String units "n/a";
}
cast {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 30;
String bcodmo_name "cast";
String description "Cast number within the cruise.";
String long_name "Cast";
String units "n/a";
}
station {
String bcodmo_name "station_std";
String description "Standard Station Name.";
String long_name "Station";
String units "n/a";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 42.4733, 44.6517;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "Latitude.";
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 -125.1167, -124.175;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "Longitude.";
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_bottom {
Int16 _FillValue 32767;
Int16 actual_range 60, 1866;
String bcodmo_name "depth_bottom";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "Bottom depth at station location.";
String long_name "Depth";
String standard_name "depth";
String units "meters";
}
sample_id {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 9;
String bcodmo_name "sample";
String description "The net number, ranges from 1-8.";
String long_name "Sample Id";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "n/a";
}
min_sample_depth {
Float32 _FillValue NaN;
Float32 actual_range -0.4, 301.6;
String bcodmo_name "depth_min";
String description "Minimum depth of a single net sample.";
String long_name "Min Sample Depth";
String units "meters";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 3.5, 503.3;
String axis "Z";
String bcodmo_name "depth_max";
String description "Maximum depth of a single net sample.";
String ioos_category "Location";
String long_name "Max Sample Depth";
String positive "down";
String standard_name "depth";
String units "m";
}
month_local {
String bcodmo_name "month_local";
String description "Month";
String long_name "Month Local";
String units "n/a";
}
day_local {
String bcodmo_name "day_local";
String description "Day";
String long_name "Day Local";
String units "n/a";
}
time_local {
String bcodmo_name "time_local";
String description "Local time.";
String long_name "Time Local";
String units "n/a";
}
d_n_flag {
String bcodmo_name "time_of_day";
String description "'DAY' or 'NIGHT' if flagged; some samples may not have been flagged.";
String long_name "D N Flag";
String units "n/a";
}
gear_type {
String bcodmo_name "instrument";
String description "Name of instrument. ('MOCNESS' for this gear.)";
String long_name "Gear Type";
String units "n/a";
}
gear_area_m2 {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 1;
String bcodmo_name "unknown";
String description "Mouth area of net in square meters.";
String long_name "Gear Area M2";
String units "m^2";
}
gear_mesh {
Float32 _FillValue NaN;
Float32 actual_range 0.333, 0.333;
String bcodmo_name "unknown";
String description "Size of mesh of net in millimeters.";
String long_name "Gear Mesh";
String units "mm";
}
vol_filt {
Float32 _FillValue NaN;
Float32 actual_range 31.2, 1273.6;
String bcodmo_name "vol_filt";
String description "Volume filtered in cubic meters.";
String long_name "Vol Filt";
String units "m^3";
}
counter_id {
String bcodmo_name "person";
String description "Initials of the Plankton Taxonomist.";
String long_name "Counter Id";
String units "n/a";
}
comments {
String bcodmo_name "comment";
String description "Misc. comments pertaining to sample. See definitions in table above (in 'Data Description' section).";
String long_name "Comments";
String units "n/a";
}
nodc_code {
Float64 _FillValue NaN;
Float64 actual_range 37.0, 6.18803e+11;
String bcodmo_name "taxon_code";
String description "Standard NODC taxonomic code.";
String long_name "Nodc Code";
String units "n/a";
}
species {
String bcodmo_name "taxon";
String description "Genus and species (e.g., NEOCALANUS_PLUMCHRUS).";
String long_name "Species";
String units "n/a";
}
life_stage {
String bcodmo_name "stage";
String description "Life Stage info (see Life Stage Codes table above in 'Data Description' section).";
String long_name "Life Stage";
String units "n/a";
}
abund {
Float64 _FillValue NaN;
Float64 actual_range 0.0, 9852.982178;
String bcodmo_name "abundance";
String description "Density (individuals per cubic meter).";
String long_name "Abund";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
String units "individuals per m^3";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"The MOCNESS is based on the Tucker Trawl principle (Tucker, 1951). The
MOCNESS-1 has nine rectangular nets (1m x 1.4 m) which are opened and closed
sequentially by commands through conducting cable from the surface (Wiebe et
al., 1976). In MOCNESS systems, \\\"the underwater unit sends a data frame,
comprised of temperature, depth, conductivity, net-frame angle, flow count,
time, number of open net, and net opening/closing, to the deck unit in a
compressed hexadecimal format every 2 seconds and from the deck unit to a
microcomputer every 4 seconds... Temperature (to approximately 0.01 deg C) and
conductivity are measured with SEABIRD sensors . Normally, a modified
T.S.K.-flowmeter is used... Both the temperature and conductivity sensors and
the flowmeter are mounted on top of the frame so that they face horizontally
when the frame is at a towing angle of 45deg... Calculations of salinity (to
approximately 0.01 o/oo S), potential temperature (theta), potential density
(sigma), the oblique and vertical velocities of the net, and the approximate
volume filtered by each net are made after each string of data has been
received by the computer.\\\" (Wiebe et al., 1985) In addition, depending on the
particular configuration of the MOCNESS-1, data may have been collected from
other sensors attached to the frame : (Transmissometer, Fluorometer,
Downwelling light sensor, and the Oxygen sensor). A SeaBird underwater pump
was also included in the sensor suite.";
String awards_0_award_nid "55044";
String awards_0_award_number "unknown NEP NOAA";
String awards_0_funder_name "National Oceanic and Atmospheric Administration";
String awards_0_funding_acronym "NOAA";
String awards_0_funding_source_nid "352";
String awards_1_award_nid "55077";
String awards_1_award_number "unknown NEP NSF";
String awards_1_funder_name "National Science Foundation";
String awards_1_funding_acronym "NSF";
String awards_1_funding_source_nid "350";
String cdm_data_type "Other";
String comment
"moc_lev1 datafile: MOCNESS_W0004B.dat
file created with clean_revise_peterson_moc1.pl v0.5
created Tue, 3 Aug 2004 by Hal Batchelder
moc_lev2 datafile: MOCNESS_W0004B_1.dat
file created with clean_revise_peterson_moc1.pl v0.5
created Tue, 3 Aug 2004 by Hal Batchelder
moc_lev3 datafile: MOCNESS_W0004B_1_1.dat
file created with clean_revise_peterson_moc1.pl v0.5
created Tue, 3 Aug 2004 by Hal Batchelder";
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 "2009-02-18T20:57:21Z";
String date_modified "2019-02-18T17:57:22Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.2454.1";
Float64 Easternmost_Easting -124.175;
Float64 geospatial_lat_max 44.6517;
Float64 geospatial_lat_min 42.4733;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -124.175;
Float64 geospatial_lon_min -125.1167;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 503.3;
Float64 geospatial_vertical_min 3.5;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-11-23T16:38:24Z (local files)
2024-11-23T16:38:24Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2454.html";
String infoUrl "https://www.bco-dmo.org/dataset/2454";
String institution "BCO-DMO";
String instruments_0_acronym "MOC1";
String instruments_0_dataset_instrument_description "The MOCNESS is based on the Tucker Trawl principle (Tucker, 1951). The MOCNESS-1 has nine rectangular nets (1m x 1.4 m) which are opened and closed seq uentially by commands through conducting cable from the surface (Wiebe et al., 1976). In MOCNESS systems, \"the underwater unit sends a data frame, comprised of temperature, depth, conductivity, net-frame angle, flow count, time, number of open net, and net opening/closing, to the deck unit in a compressed hexadecimal format every 2 seconds and from the deck unit to a microcomputer every 4 seconds... Temperatu re (to approximately 0.01 deg C) and conductivity are measured with SEABIRD sensors . Normally, a modified T.S.K.-flowmeter is used... Both the temperature and conductivity sensors and the flowmeter are mounted on top of the frame so that they face horizontally when the frame is at a towing angle of 45deg... Calculations of salinity (to approximately 0.01 o/oo S), potential temperature (theta), potential density (sigma), the oblique and vertical velocities of the net, and the approximate volume filtered by each net are made after each string of data has been received by the computer.\" (Wiebe et al., 1985)";
String instruments_0_dataset_instrument_nid "4196";
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 "abund, area, bco, bco-dmo, biological, cast, center, chemical, code, comments, counter, counter_id, cruise, cruise_id, d_n_flag, data, dataset, day, day_local, depth, depth_bottom, dmo, erddap, filt, flag, gear, gear_area_m2, gear_mesh, gear_type, latitude, life, life_stage, local, longitude, management, max, max_sample_depth, mesh, min, min_sample_depth, month, month_local, national, ncei, nesdis, noaa, nodc, nodc_code, oceanographic, oceanography, office, preliminary, program, sample, sample_id, species, stage, station, time, time_local, type, vol, vol_filt, year";
String license "https://www.bco-dmo.org/dataset/2454/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/2454";
Float64 Northernmost_Northing 44.6517;
String param_mapping "{'2454': {'lat': 'master - latitude', 'max_sample_depth': 'flag - depth', 'lon': 'master - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2454/parameters";
String people_0_affiliation "Northwest Fisheries Science Center - Newport";
String people_0_affiliation_acronym "NOAA NWFSC";
String people_0_person_name "Dr William T. Peterson";
String people_0_person_nid "50438";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Oregon State University";
String people_1_affiliation_acronym "OSU-CEOAS";
String people_1_person_name "Hal Batchelder";
String people_1_person_nid "50383";
String people_1_role "Data Manager";
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 "NEP";
String projects_0_acronym "NEP";
String projects_0_description
"Program in a Nutshell
Goal: To understand the effects of climate variability and climate change on the distribution, abundance and production of marine animals (including commercially important living marine resources) in the eastern North Pacific. To embody this understanding in diagnostic and prognostic ecosystem models, capable of capturing the ecosystem response to major climatic fluctuations.
Approach: To study the effects of past and present climate variability on the population ecology and population dynamics of marine biota and living marine resources, and to use this information as a proxy for how the ecosystems of the eastern North Pacific may respond to future global climate change. The strong temporal variability in the physical and biological signals of the NEP will be used to examine the biophysical mechanisms through which zooplankton and salmon populations respond to physical forcing and biological interactions in the coastal regions of the two gyres. Annual and interannual variability will be studied directly through long-term observations and detailed process studies; variability at longer time scales will be examined through retrospective analysis of directly measured and proxy data. Coupled biophysical models of the ecosystems of these regions will be developed and tested using the process studies and data collected from the long-term observation programs, then further tested and improved by hindcasting selected retrospective data series.";
String projects_0_geolocation "Northeast Pacific Ocean, Gulf of Alaska";
String projects_0_name "U.S. GLOBEC Northeast Pacific";
String projects_0_project_nid "2038";
String projects_0_project_website "http://nepglobec.bco-dmo.org";
String projects_0_start_date "1997-01";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 42.4733;
String standard_name_vocabulary "CF Standard Name Table v55";
String subsetVariables "gear_type,gear_area_m2,gear_mesh";
String summary "MOCNESS-1 Plankton Abundances from the R/V Wecoma, R/V New Horizon W0004B, NH0005, W0007A, NH0007, W0009A, W0204A, W0205A from the Northeast Pacific, 2000 and 2002 (NEP project)";
String title "[MOC1 zoop abund] - MOCNESS-1 Plankton Abundances from the R/V Wecoma, R/V New Horizon W0004B, NH0005, W0007A, NH0007, W0009A, W0204A, W0205A from the Northeast Pacific, 2000 and 2002 (NEP project) (U.S. GLOBEC Northeast Pacific)";
String version "1";
Float64 Westernmost_Easting -125.1167;
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.