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Dataset Title:  [Core samples: Seagrass] - Seagrass (Zostera marina and Halodule wrightii)
shoot count, biomass and shoot height from seagrass bed core samples collected
in Back Sound, North Carolina in June and July of 2013 (Collaborative Research:
Habitat fragmentation effects on fish diversity at landscape scales:
experimental tests of multiple mechanisms)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_748842)
Range: longitude = -76.62355 to -76.37371°E, latitude = 34.06503 to 34.70648°N, depth = 0.0 to 1.0m
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | 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 {
  Site {
    String bcodmo_name "site";
    String description "Sampling location name";
    String long_name "Site";
    String units "unitless";
  }
  Date {
    String bcodmo_name "date_local";
    String description "Date (local) where core was taken. Local time zone is Eastern Daylight Time (EDT, UTC-4)";
    String long_name "Date";
    String units "unitless";
  }
  Replicate {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 10;
    String bcodmo_name "replicate";
    String description "Replicate core number at site";
    String long_name "Replicate";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 34.06503, 34.70648;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of location of where core taken";
    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 -76.62355, -76.37371;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of location where core taken";
    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 0.0, 1.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Low tide depth where the core was taken";
    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";
  }
  Zos_shoot_count {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 137;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Number of shoots of Zostera marina in core";
    String long_name "Zos Shoot Count";
    String units "count (shoots)";
  }
  Zos_biomass_g {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5.2;
    String bcodmo_name "biomass";
    String description "Total dry weight of Zostera marina in core";
    String long_name "Zos Biomass G";
    String units "grams (g)";
  }
  Mean_zos_height_mm {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 191.8;
    String bcodmo_name "height";
    String description "Mean height of 20 haphazardly selected shoots of Zostera marina within the core";
    String long_name "Mean Zos Height Mm";
    String units "millimeters (mm)";
  }
  Hal_shoot_count {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 648;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Number of shoots of Halodule wrightii in core";
    String long_name "Hal Shoot Count";
    String units "count (shoots)";
  }
  Hal_biomass_g {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 10.04;
    String bcodmo_name "biomass";
    String description "Total dry weight of Halodule wrightii  in core";
    String long_name "Hal Biomass G";
    String units "grams (g)";
  }
  Mean_hal_height_mm {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 205.85;
    String bcodmo_name "height";
    String description "Mean height of 20 haphazardly selected shoots of Halodule wrightii within the core";
    String long_name "Mean Hal Height Mm";
    String units "millimeters (mm)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"We sampled 86 sites within seagrass habitats throughout Back Sound, North
Carolina, USA (3442\\u2019 N to 3439\\u2019 N, 7637\\u2019 W to 7631\\u2019 W
during July 2013. Sampling sites were located across 21 seagrass landscapes
which were defined by 200m x 80m rectangles (matching common isolated bed size
and shape within our system). These landscapes were previously selected to
represent independent gradients in both total seagrass cover (260-11,764 m2)
and landscape patchiness (1-75 individual patches; Yeager et al. 2016).
Sampling sites in the current study were haphazardly placed across all 21
landscapes, but always located within seagrass itself, and not the unvegetated
matrix.\\u00a0
 
Seagrass core sampling and laboratory processing:  
 One core sample was taken from each sampling site. Each core measured 30 cm
in diameter and captured the above ground seagrass habitat as well as the top
10 cm of the sediment surface. All cores were taken within 2 h of low tide and
the GPS location of each core was marked with a Garmin 72H handheld unit
(Garmin International, Olathe, Kansas, USA). Low-tide depth was measured in
situ at each site at the time of sampling to the nearest 10 cm.\\u00a0\\u00a0
 
Seagrass tissue from the cores was separated and rinsed with clean freshwater.
Seagrass was sorted by species (Zostera marina and Halodule wrightii). All
shoots were enumerated to assess species-specific density and the first 20
shoots from each species were measured to assess maximum canopy height
(rounded to the nearest mm). Seagrass was then sorted according to above and
below-ground biomass; the above-ground biomass of each species was dried at 60
C for 48 h and weighed to the nearest 0.01 g.\\u00a0
 
The core (30-cm diameter, PVC) was gently placed by hand at each site and
pushed down to a constant depth of 10 cm into the sediment.\\u00a0 The core was
gently rotated to break seagrass rhizomes, then dug out by hand, lifted, and
placed into a resealable 1.5-gallon plastic bag. The sample was transported
back to the laboratory on ice.\\u00a0
 
Shoot heights we averaged across (up to) 20 shoots measured within each
core.\\u00a0 Mean shoot height per core was calculated using a pivot table in
Excel.\\u00a0";
    String awards_0_award_nid "714031";
    String awards_0_award_number "OCE-1661683";
    String awards_0_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1661683";
    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 "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"Seagrass from core samples 
  PI: Lauren Yeager 
  Data Version 2: 2019-06-14";
    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 "2018-10-25T20:23:36Z";
    String date_modified "2019-06-21T15:47:08Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.748842.2";
    Float64 Easternmost_Easting -76.37371;
    Float64 geospatial_lat_max 34.70648;
    Float64 geospatial_lat_min 34.06503;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -76.37371;
    Float64 geospatial_lon_min -76.62355;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:42:11Z (local files)
2024-11-08T05:42:11Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_748842.das";
    String infoUrl "https://www.bco-dmo.org/dataset/748842";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_nid "770831";
    String instruments_0_description "Acquires satellite signals and tracks your location.";
    String instruments_0_instrument_name "GPS receiver";
    String instruments_0_instrument_nid "706037";
    String instruments_0_supplied_name "Garmin 72H handheld unit (Garmin International, Olathe, Kansas, USA)";
    String keywords "bco, bco-dmo, biological, biomass, chemical, count, data, dataset, date, depth, dmo, erddap, hal, Hal_biomass_g, Hal_shoot_count, height, latitude, longitude, management, mean, Mean_hal_height_mm, Mean_zos_height_mm, oceanography, office, preliminary, replicate, shoot, site, zos, Zos_biomass_g, Zos_shoot_count";
    String license "https://www.bco-dmo.org/dataset/748842/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/748842";
    Float64 Northernmost_Northing 34.70648;
    String param_mapping "{'748842': {'Latitude': 'master - latitude', 'Depth': 'master - depth', 'Longitude': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/748842/parameters";
    String people_0_affiliation "University of Texas - Marine Science Institute";
    String people_0_affiliation_acronym "UTMSI";
    String people_0_person_name "Lauren A. Yeager";
    String people_0_person_nid "714030";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Texas - Marine Science Institute";
    String people_1_affiliation_acronym "UTMSI";
    String people_1_person_name "Lauren A. Yeager";
    String people_1_person_nid "714030";
    String people_1_role "Contact";
    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 "Amber York";
    String people_2_person_nid "643627";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Habitat Fragmentation";
    String projects_0_acronym "Habitat Fragmentation";
    String projects_0_description 
"Amount and quality of habitat is thought to be of fundamental importance to maintaining coastal marine ecosystems. This research will use large-scale field experiments to help understand how and why fish populations respond to fragmentation of seagrass habitats. The question is complex because increased fragmentation in seagrass beds decreases the amount and also the configuration of the habitat (one patch splits into many, patches become further apart, the amount of edge increases, etc). Previous work by the investigators in natural seagrass meadows provided evidence that fragmentation interacts with amount of habitat to influence the community dynamics of fishes in coastal marine landscapes. Specifically, fragmentation had no effect when the habitat was large, but had a negative effect when habitat was smaller. In this study, the investigators will build artificial seagrass habitat to use in a series of manipulative field experiments at an ambitious scale. The results will provide new, more specific information about how coastal fish community dynamics are affected by changes in overall amount and fragmentation of seagrass habitat, in concert with factors such as disturbance, larval dispersal, and wave energy. The project will support two early-career investigators, inform habitat conservation strategies for coastal management, and provide training opportunities for graduate and undergraduate students. The investigators plan to target students from underrepresented groups for the research opportunities.
Building on previous research in seagrass environments, this research will conduct a series of field experiments approach at novel, yet relevant scales, to test how habitat area and fragmentation affect fish diversity and productivity. Specifically, 15 by 15-m seagrass beds will be created using artificial seagrass units (ASUs) that control for within-patch-level (~1-10 m2) factors such as shoot density and length. The investigators will employ ASUs to manipulate total habitat area and the degree of fragmentation within seagrass beds in a temperate estuary in North Carolina. In year one, response of the fishes that colonize these landscapes will be measured as abundance, biomass, community structure, as well as taxonomic and functional diversity. Targeted ASU removals will then follow to determine species-specific responses to habitat disturbance. In year two, the landscape array and sampling regime will be doubled, and half of the landscapes will be seeded with post-larval fish of low dispersal ability to test whether pre- or post-recruitment processes drive landscape-scale patterns. In year three, the role of wave exposure (a natural driver of seagrass fragmentation) in mediating fish community response to landscape configuration will be tested by deploying ASU meadows across low and high energy environments.";
    String projects_0_end_date "2019-08";
    String projects_0_geolocation "North Carolina";
    String projects_0_name "Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms";
    String projects_0_project_nid "714026";
    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 34.06503;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Seagrass (Zostera marina and Halodule wrightii) shoot count, biomass and shoot height from seagrass bed core samples collected in Back Sound, North Carolina in June and July of 2013.";
    String title "[Core samples: Seagrass] - Seagrass (Zostera marina and Halodule wrightii) shoot count, biomass and shoot height from seagrass bed core samples collected in Back Sound, North Carolina in June and July of 2013 (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)";
    String version "2";
    Float64 Westernmost_Easting -76.62355;
    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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