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Dataset Title:  Porites astreoides coral settlement counts collected in July of 2017 from an
in situ larval coral settlement experiment in St. John, US Virgin Islands
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_742565)
Range: longitude = -64.76065 to -64.72218°E, latitude = 18.30962 to 18.31789°N
Information:  Summary ? | License ? | 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 {
  Sample_ID {
    String bcodmo_name "sample";
    String description "Sample identifer";
    String long_name "Sample 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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 18.30962, 18.31789;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Site 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 -64.76065, -64.72218;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Site 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";
  }
  Cup_ID {
    Byte _FillValue 127;
    Byte actual_range 1, 18;
    String bcodmo_name "sample_descrip";
    String description "Number of the treatment chamber";
    String long_name "Cup ID";
    String units "unitless";
  }
  Treatment {
    String bcodmo_name "treatment";
    String description "Treatment (light or dark)";
    String long_name "Treatment";
    String units "unitless";
  }
  Date_examined {
    String bcodmo_name "date";
    String description "Date samples were examined in format m/dd/yyyy";
    String long_name "Date Examined";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "Date_examined";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Time_examined {
    String bcodmo_name "time";
    String description "Time range samples were examined in format HH:MM - HH:MM";
    String long_name "Time Examined";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  Larvae_settled_clay {
    Byte _FillValue 127;
    Byte actual_range 5, 43;
    String bcodmo_name "count";
    String description "Number of larvae that settled on clay";
    String long_name "Larvae Settled Clay";
    String units "per individual";
  }
  Larvae_settled_red_ziptie {
    Byte _FillValue 127;
    Byte actual_range 0, 4;
    String bcodmo_name "count";
    String description "Number of larvae that settled on  the red zip tie";
    String long_name "Larvae Settled Red Ziptie";
    String units "per individual";
  }
  Larvae_settled_cup {
    Byte _FillValue 127;
    Byte actual_range 0, 3;
    String bcodmo_name "count";
    String description "Number of larvae that settled on the cup";
    String long_name "Larvae Settled Cup";
    String units "per individual";
  }
  Swimming_in_water {
    Byte _FillValue 127;
    Byte actual_range 0, 1;
    String bcodmo_name "count";
    String description "Number of larvae still swimming in the water";
    String long_name "Swimming In Water";
    String units "per individual";
  }
  Unsettled_on_clay {
    Byte _FillValue 127;
    Byte actual_range 0, 5;
    String bcodmo_name "count";
    String description "Number of larvae on clay but not fully settled";
    String long_name "Unsettled On Clay";
    String units "per individual";
  }
  Notes {
    String bcodmo_name "comment";
    String description "Notes";
    String long_name "Notes";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Coral collections and spawning  
 Eight colonies of the brooding coral Porites astreoides were collected on
St. John, U.S. Virgin Islands (18.31384N, 64.76439W) on 22 June 2017. The
colonies were maintained in a shaded outdoor ambient seawater-supplied
aquarium. Corals spawned overnight 22-24 July and larvae were collected each
morning and maintained in 0.2m filtered seawater. On 25 July, larvae from all
colonies and spawning nights were pooled, and groups of 55 actively swimming
larvae were selected. Groups were randomly assigned to one of 9 light or 9
dark 140ml polyethylene chambers (preconditioned with reef water for one
month) filled with 0.7m filtered seawater (remove grazers, retains microbes).
Each chamber contained two preconditioned settlement surfaces: a clay stilt
(3.8cm diameter) and a red cable tie (10.2cm; chosen from previous findings,
Mason et al. 2011). Light chambers were transparent, allowing ambient light
ingress, while dark chambers were externally covered with black tape to
prevent light transmission.
 
Settlement experiments  
 Following larval addition, three light and three dark settlement chambers
were each affixed to a vertical pole deployed at three sites: Tektite Reef
(18.30962N, 64.72218W), Cocoloba Reef (18.31528N, 64.76065W), and a sand site
with no reef structure within 100m (18.31789N, 64.75059W) (Table 1). Sites
differ in biophysical habitat characteristics (Table 1) known to influence
soundscape properties (6). The experimental set-up included acoustic recorders
(SoundTrap ST-300, Ocean Instruments NZ), recording continuously at 48 kHz,
and temperature/light loggers (HOBO Pendant UA-002, Onset Corporation). The
chambers and instruments were secured 0.20.5m above the seafloor in 710m water
depth (see Figure 1C). Larvae were completely isolated within settlement
chambers, allowing exposure to ambient sounds (polyethelene plastics have high
acoustic transparency) while preventing exposure to other water-borne habitat
cues (e.g., reef water chemicals).  
  \\tChambers were recovered after 62 hours and maintained in seawater tables
during the 6-hour processing period in which settled corals were enumerated.
Some actively swimming larvae were still present, suggesting that oxygen
remained sufficient for larval survival.";
    String awards_0_award_nid "659918";
    String awards_0_award_number "OCE-1536782";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536782";
    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 
"Porites astreoides coral settlement Experiment 
  PI: Amy Apprill 
  Data version 1: 2018-09-21";
    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 "2018-07-27T17:54:50Z";
    String date_modified "2019-10-17T14:38:29Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.742565.1";
    Float64 Easternmost_Easting -64.72218;
    Float64 geospatial_lat_max 18.31789;
    Float64 geospatial_lat_min 18.30962;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.72218;
    Float64 geospatial_lon_min -64.76065;
    String geospatial_lon_units "degrees_east";
    String history 
"2021-10-19T00:27:49Z (local files)
2021-10-19T00:27:49Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_742565.das";
    String infoUrl "https://www.bco-dmo.org/dataset/742565";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, clay, cup, Cup_ID, data, dataset, date, dmo, erddap, examined, larvae, Larvae_settled_clay, Larvae_settled_cup, Larvae_settled_red_ziptie, latitude, longitude, management, notes, oceanography, office, preliminary, red, sample, Sample_ID, settled, site, swimming, Swimming_in_water, time, Time_examined, treatment, unsettled, Unsettled_on_clay, water, ziptie";
    String license "https://www.bco-dmo.org/dataset/742565/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/742565";
    Float64 Northernmost_Northing 18.31789;
    String param_mapping "{'742565': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/742565/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Amy Apprill";
    String people_0_person_nid "553489";
    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";
    String people_1_person_name "T. Aran Mooney";
    String people_1_person_nid "51709";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI";
    String people_2_person_name "Dr Ashlee Lillis";
    String people_2_person_nid "628822";
    String people_2_role "Scientist";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI";
    String people_3_person_name "Amy Apprill";
    String people_3_person_nid "553489";
    String people_3_role "Contact";
    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 "Coral Chorus";
    String projects_0_acronym "Coral Chorus";
    String projects_0_description 
"Coral reef ecosystems host some of the highest biodiversity of life per unit area on Earth and harbor about one quarter to one third of all marine animals. Reef-associated animals are a major source of protein for millions of people, and reefs offer shoreline protection and provide a significant source of tourism revenue, especially in developing countries. Factors that influence supply and settlement of young (larval) fish, coral, and associated animals can have large impacts on reef ecosystem and population structure, and learning more about these can help improve understanding of how to maintain the benefits provided by coral reefs. This study will lead to a detailed, mechanistic understanding of how young larvae use natural sounds to orient toward, locate, and select preferred settlement habitat. The approach will combine detailed field measurements and experiments to isolate key soundscape variables that impact coral reef larvae. 
For marine communities, such as those on coral reefs, factors influencing larval supply and settlement can have major impacts on community structure and population replenishment. There are now some indications that sound plays an important role in attracting larvae to suitable settlement habitat. There is little understanding of what soundscape habitat information is available to larvae and how differences and variability in sound can influence settlement. This project will include comprehensive experiments, environmental measurements, and modeling with the goal of understanding the role of sound in influencing larval recruitment and local biodiversity. The investigators will measure in situ settlement of larval fish and coral in relation to different soundscapes and habitat conditions in a marine protected area using traditional larval sampling methods, moored acoustic recorders, and a suite of environmental observations. Controlled and calibrated environmental playback experiments will isolate soundscape components and determine specific and fundamental acoustic cues larvae use to orient and settle. The spatial and temporal variability of soundscape cues and components across reef habitats will be established. Finally, the project will determine the relevant ranges of sound plumes that larvae may encounter through direct measurements of the sound fields of multiple reefs.";
    String projects_0_end_date "2018-10";
    String projects_0_name "Coral Chorus: The Role of Soundscapes in Coral Reef Larval Recruitment and Biodiversity";
    String projects_0_project_nid "659919";
    String projects_0_start_date "2015-11";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 18.30962;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Brooding coral Porites astreoides colonies were collected on St. John, U.S. Virgin Islands on June 22nd, 2017 and used in an in-situ larval coral settlement experiment. Settlement counts were taken on June 28th, 2017.";
    String title "Porites astreoides coral settlement counts collected in July of 2017 from an in situ larval coral settlement experiment in St. John, US Virgin Islands";
    String version "1";
    Float64 Westernmost_Easting -64.76065;
    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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