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Dataset Title:  Percent cover and density of sponges at multiple sites in Caribbean and
Pacific from shallow to mesophotic depths
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_749941)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 site (unitless) ?          "Bahamas_BA"    "Palau_Turtle_Cove"
 latitude (degrees_north) ?          7.0843    23.7667
  < slider >
 longitude (degrees_east) ?          -134.2553    -76.1
  < slider >
 Notes (unitless) ?          "Abundances are per..."    "Percent cover is d..."
 depth (m) ?          1.0    150.0
  < slider >
 Percent_Cover (variable) ?          0.0    80.0
 Percent_Cover_SE (percent (%)) ?          0.0    8.08
 Abundance (per meter squared (m^-2)) ?          0.21    6.33
 Abundance_SE (per meter squared (m^-2)) ?          0.06    0.98
 
Server-side Functions ?
 distinct() ?
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File type: (more info)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  site {
    String bcodmo_name "site";
    String description "Name of the site";
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 7.0843, 23.7667;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude in degrees North";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "Lat_N";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -134.2553, -76.1;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude in degrees East";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "Lon_E";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Notes {
    String bcodmo_name "comment";
    String description "additional comments about the data";
    String long_name "Notes";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 150.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of observation";
    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";
  }
  Percent_Cover {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 80.0;
    String bcodmo_name "cover_pcent";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Jamaica W-Z; Jamaica M; Bahamas BA: Percent cover is defined by these authors as Percent Cover of Available Substrate calculated from 0.2 m^2 photoquadrats. Bahamas Bock Wall; Little Cayman Rock Bottom Wall; Palau Turtle Cove: Percent cover are per m^2";
    String long_name "Percent Cover";
    String units "variable";
  }
  Percent_Cover_SE {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 8.08;
    String bcodmo_name "cover_pcent";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard error of percent cover";
    String long_name "Percent Cover SE";
    String units "percent (%)";
  }
  Abundance {
    Float32 _FillValue NaN;
    Float32 actual_range 0.21, 6.33;
    String bcodmo_name "abundance";
    String description "Abundance of sponges";
    String long_name "Abundance";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "per meter squared (m^-2)";
  }
  Abundance_SE {
    Float32 _FillValue NaN;
    Float32 actual_range 0.06, 0.98;
    String bcodmo_name "abundance";
    String description "Standard error of the abundance of sponges";
    String long_name "Abundance SE";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "per meter squared (m^-2)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "Technical diving with closed circuit rebreathers, transect tapes and quadrats.";
    String awards_0_award_nid "647902";
    String awards_0_award_number "OCE-1632348";
    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 cdm_data_type "Other";
    String comment 
"Sponge density and cover 
  PI: Michael Lesser 
  Version: 2018-11-04";
    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 "2018-11-20T13:59:42Z";
    String date_modified "2019-07-11T18:20:54Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.749941.1";
    Float64 Easternmost_Easting -76.1;
    Float64 geospatial_lat_max 23.7667;
    Float64 geospatial_lat_min 7.0843;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -76.1;
    Float64 geospatial_lon_min -134.2553;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 150.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2020-08-05T19:03:19Z (local files)
2020-08-05T19:03:19Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_749941.html";
    String infoUrl "https://www.bco-dmo.org/dataset/749941";
    String institution "BCO-DMO";
    String keywords "abundance, Abundance_SE, bco, bco-dmo, biological, chemical, cover, data, dataset, depth, dmo, erddap, latitude, longitude, management, notes, oceanography, office, percent, Percent_Cover, Percent_Cover_SE, preliminary, site";
    String license "https://www.bco-dmo.org/dataset/749941/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/749941";
    Float64 Northernmost_Northing 23.7667;
    String param_mapping "{'749941': {'Lat_N': 'master - latitude', 'Depth': 'master - depth', 'Lon_E': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/749941/parameters";
    String people_0_affiliation "University of New Hampshire";
    String people_0_affiliation_acronym "UNH";
    String people_0_person_name "Dr Michael P. Lesser";
    String people_0_person_nid "645511";
    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 BCO-DMO";
    String people_1_person_name "Mathew Biddle";
    String people_1_person_nid "708682";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "MCESponge";
    String projects_0_acronym "MCESponge";
    String projects_0_description 
"NSF Award Abstract:
Coral reefs are well known biodiversity hotspots of considerable interest to the public and scientific community. Reefs around the world are currently under threat from multiple factors such as pollution, coastal development, overfishing and climate change, where both the warming and acidification of tropical waters contributes to the loss of coral reefs and the many services they provide for us, such as protection from hurricane damage. Many studies are focused on corals, the conspicuously dominant group of organisms on many coral reefs, but other organisms are also important. One group, sponges, are essential for healthy reef function as they provide food and homes for many other reef organisms, they dramatically effect the nutrient cycles on reefs, and they synthesize important compounds of interest to the biomedical community. An emerging area of coral reef science is the study of deep reefs at depths greater than 30 meters. These coral reef systems, known as mesophotic coral reef ecosystems, were largely inaccessible until the transfer of technical diving approaches to the scientific community. In this project the investigators will study sponge populations from 3 meters to over 100 meters to examine their ability to utilize both dissolved and particulate food sources that may help explain increasing sponge biodiversity and growth rates with increasing depth. This project will provide training opportunities for undergraduate and graduate students as well as veterans and post-doctoral researchers, especially from underrepresented groups. Additionally, the investigators will develop unique outreach programs for public education.
Sponges are ubiquitous members of Caribbean coral reef communities, where they have multiple roles. There is evidence accumulating that sponge populations are increasing as coral cover declines due to anthropogenic and natural factors. Trophic interactions play crucial roles in controlling the distributions of species and community structure; however, the relative importance of top-down (predation) and bottom-up (nutrient resources) control of populations remains a hotly debated topic. Recently, it has been proposed that sponges consume large amounts of dissolved organic carbon (DOC) and release large numbers of choanocytes that fuel a \"sponge loop\" detrital pathway of significance to higher trophic levels. A largely overlooked, but clearly stated, requirement for the \"sponge-loop\" hypothesis to be broadly generalizable is that sponges must exhibit little, or no, net growth as the only way to balance the loss of carbon in the form of choanocytes (=detritus), with the intake of both particulate organic carbon (POC) and DOC; however, sponges do grow. Additionally, on both shallow and mesophotic coral reefs (MCEs: 3-150m depth), there is a strong vertical gradient in bacterioplankton resources on which sponges feed, and enhanced growth in the presence of spongivory argues for the importance of particulate organic carbon (POC). Missing so far in this discussion is the important role of dissolved and particulate organic nitrogen (DON/PON) that would be essential for sponge growth on coral reefs. This proposal has two goals: 1) quantify the DOC/POC and DON/PON resources available across the shallow to mesophotic depth gradient that has never been done before, and 2) quantify the depth dependence on these resources by a broad taxonomic representation of sponges that also includes multiple life-history strategies across shallow to mesophotic depths. To accomplish this second task the investigators will conduct studies on the growth of sponges from shallow to mesophotic depths to tease apart the independent and interactive roles of DOC/POC and DON/PON in sponge growth. They will also construct carbon, nitrogen and energetic budgets for sponges utilizing these resources. The project will provide the first comprehensive inventory of DOC/POC and DON/PON on several coral reefs. This will be complemented by studies of feeding and growth across the shallow to mesophotic depth gradient. With continuing changes in the community structure of both shallow and mesophotic reefs, understanding whether we can predict, using models of ecosystem function, which reefs will undergo transitions to sponge dominated communities and what factors contribute to these transitions, will be of use to local marine resource managers. These data will also inform the broader field of marine ecology, as well as provide new insights into mesophotic reef structure and function. Finally, sponge samples collected from mesophotic coral reefs often represent new species and they will be made available to scientists upon request.";
    String projects_0_end_date "2019-08";
    String projects_0_geolocation "Curacao, Cayman Islands";
    String projects_0_name "Collaborative Research: Sponge Growth is Nitrogen Limited over the Shallow to Mesophotic Depth Gradient";
    String projects_0_project_nid "647904";
    String projects_0_start_date "2016-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 7.0843;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Percent cover and density of sponges at multiple sites in Caribbean and Pacific from shallow to mesophotic depths.";
    String title "Percent cover and density of sponges at multiple sites in Caribbean and Pacific from shallow to mesophotic depths";
    String version "1";
    Float64 Westernmost_Easting -134.2553;
    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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