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Dataset Title:	[HADES-K Sediment Macrofaunal Diversity] - Raw counts of macrofauna identified in sediment samples from the Kermadec Trench in the Southwest Pacific, 4000 to ~ 10,000m from the RV/ Thomas G. Thompson during cruise TN309 (HADES-K), May 2014. (Controls on Hadal Megafaunal Community Structure: a Systematic Examination of Pressure, Food Supply, and Topography)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_763694)
Range:	longitude = -178.96123 to -177.29025°E, latitude = -35.90516 to -31.930742°N, depth = 6013.0 to 9177.0m
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| 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:

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Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  USGS_SampleID {
    String bcodmo_name "sample";
    String description "USGS sample identifier";
    String long_name "USGS Sample ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SampleYear {
    Int16 _FillValue 32767;
    Int16 actual_range 2014, 2014;
    String bcodmo_name "year";
    String description "year of sampling";
    String long_name "Sample Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  Station {
    String bcodmo_name "station";
    String description "station identifier";
    String long_name "Station";
    String units "unitless";
  }
  DateCollected {
    String bcodmo_name "date";
    String description "collection date";
    String long_name "Date Collected";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "DateCollected";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Gear {
    String bcodmo_name "instrument";
    String description "type of collection gear";
    String long_name "Gear";
    String units "unitless";
  }
  USGS_CoreID {
    String bcodmo_name "sample";
    String description "USGS core sample identifier";
    String long_name "USGS Core ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Site {
    String bcodmo_name "site";
    String description "site name";
    String long_name "Site";
    String units "unitless";
  }
  SampleType1 {
    String bcodmo_name "sample_type";
    String description "type of sample";
    String long_name "Sample Type1";
    String units "unitless";
  }
  Location {
    String bcodmo_name "site";
    String description "location code";
    String long_name "Location";
    String units "unitless";
  }
  Fraction {
    String bcodmo_name "depth_core";
    String description "core fraction??";
    String long_name "Fraction";
    String units "centimeters";
  }
  SieveSize {
    String bcodmo_name "net_mesh";
    String description "sieve mesh size";
    String long_name "Sieve Size";
    String units "microns";
  }
  CoreDiameter {
    Float64 _FillValue NaN;
    Float64 actual_range 6.349999905, 6.349999905;
    String bcodmo_name "diameter";
    String description "core diameter";
    String long_name "Core Diameter";
    String units "centimeters";
  }
  CoreArea {
    Float64 _FillValue NaN;
    Float64 actual_range 31.65316155, 31.65316155;
    String bcodmo_name "surface_area";
    String description "cross-sectional area of core";
    String long_name "Core Area";
    String units "centimeters^2";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -35.905159, -31.93074226;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude; north is postivie";
    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 -178.9612274, -177.2902527;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude; east is postivie";
    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 {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 6013.0, 9177.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "sample depth below sea surface";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  NIWA_id {
    String bcodmo_name "sample";
    String description "National Institute for Water and Atmosphere (NIWA) sample identifier";
    String long_name "NIWA Id";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  ACROCIRRIDAE {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "taxon";
    String description "Number of Acrocirridae identified in sample";
    String long_name "ACROCIRRIDAE";
    String units "individuals";
  }
  AMPHARETIDAE {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 2;
    String bcodmo_name "taxon";
    String description "Number of Ampharetidae identified in sample";
    String long_name "AMPHARETIDAE";
    String units "individuals";
  }
  CIRRATULIDAE {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 2;
    String bcodmo_name "taxon";
    String description "Number of Cirratulidae identified in sample";
    String long_name "CIRRATULIDAE";
    String units "individuals";
  }
  FLABELLIGERIDAE {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "taxon";
    String description "Number of Flabelligeridae identified in sample";
    String long_name "FLABELLIGERIDAE";
    String units "individuals";
  }
  NEPHTYIDAE {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "taxon";
    String description "Number of Nephtyidae identified in sample";
    String long_name "NEPHTYIDAE";
    String units "individuals";
  }
  OWENIIDAE {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "taxon";
    String description "Number of Oweniidae identified in sample";
    String long_name "OWENIIDAE";
    String units "individuals";
  }
  PARAONIDAE {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 3;
    String bcodmo_name "taxon";
    String description "Number of Paraonidae identified in sample";
    String long_name "PARAONIDAE";
    String units "individuals";
  }
  SYLLIDAE {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "taxon";
    String description "Number of Syllidae identified in sample";
    String long_name "SYLLIDAE";
    String units "individuals";
  }
  TEREBELLIDAE {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "taxon";
    String description "Number of Terebellidae identified in sample";
    String long_name "TEREBELLIDAE";
    String units "individuals";
  }
  Unknown_Polychaete {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 2;
    String bcodmo_name "taxon";
    String description "Number of Unknown polychaete identified in sample";
    String long_name "Unknown Polychaete";
    String units "individuals";
  }
  Naididae {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "taxon";
    String description "Number of Naididae identified in sample";
    String long_name "Naididae";
    String units "individuals";
  }
  Enchytraeidae {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 2;
    String bcodmo_name "taxon";
    String description "Number of Enchytraeidae identified in sample";
    String long_name "Enchytraeidae";
    String units "individuals";
  }
  BIVALVIA {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "taxon";
    String description "Number of Bivalvia identified in sample";
    String long_name "BIVALVIA";
    String units "individuals";
  }
  SIPUNCULA {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "taxon";
    String description "Number of Sipuncula identified in sample";
    String long_name "SIPUNCULA";
    String units "individuals";
  }
  Unknown_Individuals {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 4;
    String bcodmo_name "taxon";
    String description "Number of unidentified individuals in sample";
    String long_name "Unknown Individuals";
    String units "individuals";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Push cores (6.35 cm diameter) of sediment were collected in situ using the
manipulator arm of the Hybrid Remotely Operated Vehicle Nereus on the margin
of the Kermadec Trench (6013m) and along the main trench axis (7137 to 9177m)
at roughly 1000m increments.
 
The 0-1, 1-2, 2-3, 3-5, 5-10 cm depth horizons were sectioned for all cores.
 
Macrofauna (>300 microns) were enumerated and identified to major taxonomic
groups (16 total) based on the published morphological descriptions of the
taxonomic groups.\\u00a0 The data present the total number of individuals in
each of these groups in each core.
 
Attempts were made to obtain 3 replicate cores at each depth horizon (every
1000 meters from 6000m to 10,000m.\\u00a0 For logistical reasons with vehicle
performance (and loss at 10,000), all of the replicates were not able to be
collected.";
    String awards_0_award_nid "536451";
    String awards_0_award_number "OCE-1131620";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1131620";
    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 
"Macrofauna from push cores 
    collected at the Kermadec Trench on R/V Thomas G. Thompson cruise TN309 
   PI: T. Shank (WHOI) 
   version: 2019-03-18";
    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 "2019-03-27T16:35:28Z";
    String date_modified "2019-06-17T17:29:32Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.763694.1";
    Float64 Easternmost_Easting -177.2902527;
    Float64 geospatial_lat_max -31.93074226;
    Float64 geospatial_lat_min -35.905159;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -177.2902527;
    Float64 geospatial_lon_min -178.9612274;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 9177.0;
    Float64 geospatial_vertical_min 6013.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:58:01Z (local files)
2024-11-08T05:58:01Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_763694.das";
    String infoUrl "https://www.bco-dmo.org/dataset/763694";
    String institution "BCO-DMO";
    String instruments_0_acronym "HROV Nereus";
    String instruments_0_dataset_instrument_nid "763706";
    String instruments_0_description 
"Nereus is an efficient, multi-purpose “hybrid” vehicle that can explore and operate in the crushing pressures of the greatest ocean depths. An unmanned vehicle, Nereus operates in two complementary modes. It can swim freely as an autonomous underwater vehicle (AUV) to survey large areas of the depths, map the seafloor, and give scientists a broad overview. When Nereus locates something interesting, the vehicle’s support team can bring the vehicle back on board the ship and transforms it into a remotely operated vehicle (ROV) tethered to the ship via a micro-thin, fiber-optic cable. Through this tether, Nereus can transmit high-quality, real-time video images and receive commands from skilled pilots on the ship to collect samples or conduct experiments with a manipulator arm.

Technical specifications:


\tWeight on land: 2,800 kg
\tPayload capacity: 25 kg
\tMaximum speed: 3 knots
\tBatteries: rechargable lithium ion, 15 kilowatt hours in two pressure housings
\tThrusters: 2 fore and aft, 2 vertical, 1 lateral (ROV mode) 2 fore and aft, 1 vertical (AUV mode)
\tLights: variable output LED array, strobes
\tManipulator arm: Kraft TeleRobotics 7-function hydraulic manipulator
\tSonar: scanning sonar, forward look and profile, 675 KHz
\tSensors: magnetometer, CTD (to measure conductivity, temperature, and depth)


Nereus supports a variety of science operations: Push coring, measuring heat flow, geotechnical and geochemical sensing, rock sampling and drilling, biological sampling, water sampling, high resolution acoustic bathymetry, and optical still and video imagery.

More information is available from the operator site at URL.";
    String instruments_0_instrument_name "HROV Nereus";
    String instruments_0_instrument_nid "706";
    String instruments_1_dataset_instrument_nid "763708";
    String instruments_1_description "Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a \"light microscope\".";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB05/";
    String instruments_1_instrument_name "Microscope-Optical";
    String instruments_1_instrument_nid "708";
    String instruments_1_supplied_name "Leica MZ APO stereo microscopes";
    String instruments_2_dataset_instrument_description "Push cores were borrowed from the National Deep Submergence Facility to be able to standardize results. The push cores were 6.35cm diameter).";
    String instruments_2_dataset_instrument_nid "763707";
    String instruments_2_description 
"Capable of being performed in numerous environments, push coring is just as it sounds. Push coring is simply pushing the core barrel (often an aluminum or polycarbonate tube) into the sediment by hand. A push core is useful in that it causes very little disturbance to the more delicate upper layers of a sub-aqueous sediment.

Description obtained from: http://web.whoi.edu/coastal-group/about/how-we-work/field-methods/coring/";
    String instruments_2_instrument_name "Push Corer";
    String instruments_2_instrument_nid "628287";
    String keywords "acrocirridae, ampharetidae, area, atmospheric, bco, bco-dmo, biological, bivalvia, chemical, cirratulidae, collected, core, CoreArea, CoreDiameter, data, dataset, date, depth, diameter, dmo, enchytraeidae, erddap, flabelligeridae, fraction, gear, geological, individuals, institute, latitude, Location, longitude, management, naididae, national, nephtyidae, niwa, NIWA_id, oceanography, office, oweniidae, paraonidae, polychaete, preliminary, research, sample, SampleType1, SampleYear, sieve, SieveSize, sipuncula, site, size, states, station, survey, syllidae, terebellidae, time, type1, united, Unknown_Individuals, Unknown_Polychaete, usgs, USGS_CoreID, USGS_SampleID, water, year";
    String license "https://www.bco-dmo.org/dataset/763694/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/763694";
    Float64 Northernmost_Northing -31.93074226;
    String param_mapping "{'763694': {'Latitude': 'master - latitude', 'Depth': 'master - depth', 'Longitude': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/763694/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Timothy M. Shank";
    String people_0_person_nid "536454";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Hawaii at Manoa";
    String people_1_affiliation_acronym "SOEST";
    String people_1_person_name "Jeffrey C. Drazen";
    String people_1_person_nid "491313";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Whitman College";
    String people_2_person_name "Paul Yancey";
    String people_2_person_nid "536477";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "HADES";
    String projects_0_acronym "HADES";
    String projects_0_description 
"Extracted from the NSF award abstract:
Severe technical challenges associated with the extremes of hydrostatic pressure have prevented major advances in hadal ecological studies, and relegated hadal systems to among the most poorly investigated habitats on Earth. Through this project, Hadal Ecosystems Studies (HADES) program, PIs will determine the composition and distribution of hadal species, the role of hadal pressures (piezolyte concentrations, enzyme function under pressure), food supply (distribution of POC with the abundance and biomass of trench organisms, and metabolic rates/energetic demand), and depth/topography (genetic divergence and spatial connectivity of populations) have on impacting deep-ocean community structure. This project will examine these factors using the world's first full-ocean depth hybrid remotely operated vehicle (HROV) in conjunction with the only full-ocean depth imaging lander (Hadal-Lander). This project will provide the first seafloor data and samples in one of the world's best, yet little known trenches- the Kermadec Trench (SW Pacific Ocean).  Megafaunal community structure and the relationship between POC and benthic bacterial biomass will be examined as a function of depth and location by systematic high-definition imaging and sediment/faunal sampling transects from abyssal to full trench depths both along and perpendicular to the trench axis. Population genetic approaches will provide levels of genetic divergence and evolutionarily independent lineages to assess the role of depth and topography in trenches and their adjacent abyssal plain in promoting the formation of species. Physiological constraints will be investigated by examining in-situ respiration of selected fauna and tissue concentrations of such protein stabilizers as trimethylamine oxide (TMAO), and the structural adaptations of macromolecules. 
Image of NEREUS Deployment Sites. [click on the image to view a larger version]";
    String projects_0_end_date "2015-08";
    String projects_0_geolocation "Kermadec Trench adjacent to New Zealand: approximately 37 12.75 S and 178 51.43 E  to 31 51.29 S and 176 49.07 W";
    String projects_0_name "Controls on Hadal Megafaunal Community Structure: a Systematic Examination of Pressure, Food Supply, and Topography";
    String projects_0_project_nid "536452";
    String projects_0_project_website "https://www.whoi.edu/hades/";
    String projects_0_start_date "2011-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -35.905159;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "SampleYear,Site,SampleType1,SieveSize,CoreDiameter,CoreArea";
    String summary "This dataset includes raw counts of macrofauna families identified in push core samples taken in the Kermadec Trench in the Southwest Pacific, 4000 to ~10,000m from the RV/ Thomas G. Thompson during cruise TN309 (HADES-K), May 2014.";
    String title "[HADES-K Sediment Macrofaunal Diversity] - Raw counts of macrofauna identified in sediment samples from the Kermadec Trench in the Southwest Pacific, 4000 to ~10,000m from the RV/ Thomas G. Thompson during cruise TN309 (HADES-K), May 2014. (Controls on Hadal Megafaunal Community Structure: a Systematic Examination of Pressure, Food Supply, and Topography)";
    String version "1";
    Float64 Westernmost_Easting -178.9612274;
    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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.