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Dataset Title:  Counts of larval fishes collected by a 1m2 Multiple Opening Closing Net and
Environmental Sampling System (MOCNESS; MOC1) in a subtropical, pelagic
environment from R/V F.G. Walton Smith cruise WS15161 in June 2015
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_713636)
Range: longitude = -82.0005 to -79.3307°E, latitude = 24.3462 to 26.2987°N, time = 2015-06-19T19:59Z to 2015-06-26T23:04Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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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 {
  cruise_name {
    String bcodmo_name "Cruise Name";
    String description "Cruise name";
    String long_name "Cruise Name";
    String units "unitless";
  }
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "Official cruise identifier";
    String long_name "Cruise Id";
    String units "unitless";
  }
  study {
    String bcodmo_name "brief_desc";
    String description "Study type: Spatial, Lagrangian, or Eddy";
    String long_name "Study";
    String units "unitless";
  }
  station {
    String bcodmo_name "station";
    String description "Station identifier";
    String long_name "Station";
    String units "unitless";
  }
  tow_type {
    String bcodmo_name "brief_desc";
    String description "Tow type: S = shallow, M = middle, D = deep";
    String long_name "Tow Type";
    String units "unitless";
  }
  net {
    Byte _FillValue 127;
    Byte actual_range 1, 8;
    String bcodmo_name "net";
    String description "MOC1 tow net number";
    String long_name "Net";
    String units "unitless";
  }
  date {
    String bcodmo_name "date";
    String description "Date of tow (EDT) in m/d/yyyy format";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  time_open {
    String bcodmo_name "time_open";
    String description "Time (24h) net opened (EDT) in hh:mm format";
    String long_name "Time Open";
    String units "unitless";
  }
  time_closed {
    String bcodmo_name "time_end";
    String description "Time (24h) net closed (EDT) in hh:mm format";
    String long_name "Time Closed";
    String units "unitless";
  }
  depth_open {
    Byte _FillValue 127;
    Byte actual_range 15, 30;
    String bcodmo_name "depth_open";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth net opened";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters (m)";
  }
  depth_close {
    Byte _FillValue 127;
    Byte actual_range 15, 30;
    String bcodmo_name "depth_end";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth net closed";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters (m)";
  }
  tow_vol {
    Float32 _FillValue NaN;
    Float32 actual_range -999.0, 156.0;
    String bcodmo_name "vol_filt";
    String description "Colume of water towed by net; \"nd\" if volume was not recorded.";
    String long_name "Tow Vol";
    String units "cubic meters (m^3)";
  }
  larval_fish_count {
    Int16 _FillValue 32767;
    Int16 actual_range 16, 422;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Number of larval fish in net";
    String long_name "Larval Fish Count";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 24.3462, 26.2987;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude when net tow started";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "lat_start";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -82.0005, -79.3307;
    String axis "X";
    String bcodmo_name "lon_start";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude when net tow started";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "lon_start";
    String standard_name "longitude";
    String units "degrees_east";
  }
  lat_end {
    Float32 _FillValue NaN;
    Float32 actual_range 24.3303, 26.3;
    String bcodmo_name "lat_end";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude when net tow ended";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  lon_end {
    Float32 _FillValue NaN;
    Float32 actual_range -82.0018, -79.3512;
    String bcodmo_name "lon_end";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude when net tow ended";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.43474394e+9, 1.43535984e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Timestamp when net opened (time zone UTC) in ISO 8601 format yyyy-mm-ddTHH:MMZ";
    String ioos_category "Time";
    String long_name "ISO Date Time Start UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_start_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Larval fishes were collected at each station using a Multiple Opening Closing
Net and Environmental Sensing System (MOCNESS,
[https://www.whoi.edu/instruments/viewInstrument.do?id=10008](\\\\\"https://www.whoi.edu/instruments/viewInstrument.do?id=10008\\\\\"))
with a 1m2 opening and 150um mesh nets (MOC1). To capture larval fishes and
mesozooplankton on a fine horizontal spatial scale, we sequentially fired each
MOCNESS net every ~120-150m. Traveling at a speed of 2 m s-1 each
MOC1\\u00a0net sampled ~120-150 m3. We fired a total of nine nets per tow. One
net was open from the surface to depth (net zero), and eight nets sampled
discrete depths. Net 0 was not enumerated for larval fish. Net 4 (or Net 5 in
a few instances) did not have larval fish enumerated, as sample was collected
for a collaborator. At every station, this fine-scale net sampling was
repeated at 15m and 30m depth (randomized order). Once onboard, the nets were
rinsed with seawater and the contents of each cod end immediately preserved in
95% ethanol. All larval fishes were separated out of the samples, enumerated,
and stored for later SL measurements.\\u00a0";
    String awards_0_award_nid "529695";
    String awards_0_award_number "OCE-1419987";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1419987";
    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 
"Florida Straits 2015 MOC1 Spatial Data 
   P.I: Dr. Robert K. Cowen 
  Data Version 2: 2020-03-31";
    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 "2017-08-23T18:36:31Z";
    String date_modified "2020-04-01T20:48:01Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.713636.2";
    Float64 Easternmost_Easting -79.3307;
    Float64 geospatial_lat_max 26.2987;
    Float64 geospatial_lat_min 24.3462;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -79.3307;
    Float64 geospatial_lon_min -82.0005;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-08-11T01:07:40Z (local files)
2020-08-11T01:07:40Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_713636.das";
    String infoUrl "https://www.bco-dmo.org/dataset/713636";
    String institution "BCO-DMO";
    String instruments_0_acronym "MOC1";
    String instruments_0_dataset_instrument_description 
"Multiple Opening Closing Net and Environmental Sensing System with a 1m2 opening and 150um mesh nets (MOC1).
https://www.whoi.edu/instruments/viewInstrument.do?id=10008";
    String instruments_0_dataset_instrument_nid "713641";
    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 "MOC1; MOCNESS1";
    String keywords "bco, bco-dmo, biological, chemical, closed, count, cruise, cruise_id, cruise_name, data, dataset, date, depth, depth_close, depth_open, dmo, erddap, fish, iso, larval, larval_fish_count, lat_end, latitude, lon_end, longitude, management, name, net, oceanography, office, open, preliminary, start, station, study, time, time_closed, time_open, tow, tow_type, tow_vol, type, vol";
    String license "https://www.bco-dmo.org/dataset/713636/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/713636";
    Float64 Northernmost_Northing 26.2987;
    String param_mapping "{'713636': {'ISO_DateTime_start_UTC': 'flag - time', 'lon_start': 'flag - longitude', 'lat_start': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/713636/parameters";
    String people_0_affiliation "Oregon State University";
    String people_0_affiliation_acronym "OSU-HMSC";
    String people_0_person_name "Robert K Cowen";
    String people_0_person_nid "521583";
    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-HMSC";
    String people_1_person_name "Su Sponaugle";
    String people_1_person_nid "521582";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Oregon State University";
    String people_2_affiliation_acronym "OSU-HMSC";
    String people_2_person_name "Miram Gleiber";
    String people_2_person_nid "661276";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI";
    String people_3_person_name "Megan Switzer";
    String people_3_person_nid "708683";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Amber York";
    String people_4_person_nid "643627";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "OSTRICH";
    String projects_0_acronym "OSTRICH";
    String projects_0_description 
"Description from NSF award abstract:
The spatial pattern of organisms within pelagic marine environments is of significant ecological importance, and this is particularly true for larval fishes. Patchy prey and predator environments should lead to variation in predator-prey interactions, and thus to variations in larval fish growth and survival. These have proven very difficult to resolve in nature, due in large part to the broad range of spatial scales involved and technological challenges with adequately sampling the various processes simultaneously. This study will use new technology (In Situ Ichthyoplankton Imaging System - ISIIS) to simultaneously measure the fine-scale distribution of larval fishes in relation to their prey, their planktonic predators, and the physical environment of the Straits of Florida. This will be combined with targeted fine-scale net sampling and analyses of individual recent daily larval growth. By sampling a series of water masses at very high resolution, this study will address specific hypotheses concerning: i) the drivers of aggregations and patchiness, and ii) the biological consequences of predator-prey interactions at fine scales.
The primary intellectual merit of the study is the unprecedented examination of plankton processes at scales of relevance to biological interactions among larval fishes, their prey, and their predators. This field study will further our understanding of the predator-prey interactions contributing to spatially explicit larval growth and mortality patterns. The focus on subtropical planktonic food webs will enhance scientific knowledge of these understudied pelagic ecosystems and provide valuable data for comparative analyses with pelagic food web dynamics at higher latitudes. A deeper understanding of pelagic planktonic ecosystems over a range of spatial and temporal scales is increasingly important as the oceans undergo major environmental changes. Substantial increases in the relative dominance of gelatinous organisms, for example, have the potential to cause major shifts in pelagic food webs. A better understanding of the fine-scale interactions of such food webs will help society anticipate and respond to the consequences of such changes.
Note (07 Oct 2014): Funding for this project transferred from award OCE-1333800 to OCE-1419987, coincident with the Principal Investigator's affiliation change from University of Miami to Oregon State University.";
    String projects_0_end_date "2016-08";
    String projects_0_geolocation "Straits of Florida, Western Atlantic";
    String projects_0_name "Spatial variability of larval fish in relation to their prey and predator fields: Patterns and interactions from cm to 10s of km in a subtropical, pelagic environment";
    String projects_0_project_nid "528606";
    String projects_0_start_date "2013-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 24.3462;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "cruise_name,cruise_id,study";
    String summary "Counts of larval fishes collected by a 1m2 Multiple Opening Closing Net and Environmental Sampling System (MOCNESS; MOC1) in a subtropical, pelagic environment from R/V F.G. Walton Smith cruise WS15161 in June 2015.";
    String time_coverage_end "2015-06-26T23:04Z";
    String time_coverage_start "2015-06-19T19:59Z";
    String title "Counts of larval fishes collected by a 1m2 Multiple Opening Closing Net and Environmental Sampling System (MOCNESS; MOC1) in a subtropical, pelagic environment from R/V F.G. Walton Smith cruise WS15161 in June 2015";
    String version "2";
    Float64 Westernmost_Easting -82.0005;
    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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