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Dataset Title:  Coral bleaching prevalence in the lagoon of Moorea during 2016 Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_770442)
Range: longitude = -149.92404 to -149.75764°E, latitude = -17.60327 to -17.47187°N, depth = 1.0 to 2.5m
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 {
  COUNTRY {
    String bcodmo_name "site_descrip";
    String description "Counry where study was located";
    String long_name "COUNTRY";
    String units "unitless";
  }
  LOCATION {
    String bcodmo_name "site_descrip";
    String description "Island where study was located";
    String long_name "LOCATION";
    String units "unitless";
  }
  SITE_NAME {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 187;
    String bcodmo_name "site";
    String description "Site identifier";
    String long_name "SITE NAME";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -17.60327, -17.47187;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude of site";
    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 -149.92404, -149.75765;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude of site";
    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";
  }
  DAY {
    Byte _FillValue 127;
    Byte actual_range 8, 14;
    String bcodmo_name "day";
    String description "Day of survey (numeric day of the month)";
    String long_name "DAY";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "unitless";
  }
  MONTH {
    String bcodmo_name "month";
    String description "Month of survey (three-letter month string)";
    String long_name "MONTH";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "unitless";
  }
  YEAR {
    Int16 _FillValue 32767;
    Int16 actual_range 2016, 2016;
    String bcodmo_name "year";
    String description "Year of survey (four digit year)";
    String long_name "YEAR";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  DATE {
    String bcodmo_name "date_local";
    String description "Date of survey in ISO 8601 format (YYYY-mm-dd), local time zone Pacific/Tahiti";
    String long_name "DATE";
    String source_name "DATE";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 2.5;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth of survey site";
    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_BLEACHED {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 81.82;
    String bcodmo_name "bleach_percent";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Percentage of corals surveyed that showed any portion of bleachin";
    String long_name "PERCENT BLEACHED";
    String units "percent";
  }
  MORTALITY_CODE {
    Byte _FillValue 127;
    Byte actual_range 0, 2;
    String bcodmo_name "unknown";
    String description "Presence of mortality 0=No, 1-Yes";
    String long_name "MORTALITY CODE";
    String units "unitless";
  }
  PERCENT_MORTALITY {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 44.44;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Percentage of corals surveyed that had died from bleaching";
    String long_name "PERCENT MORTALITY";
    String units "percent";
  }
  SURVEY_TYPE {
    String bcodmo_name "sampling_method";
    String description "Type of survey conducted - roving diver survey where each coral colony encountered during 10mins was assessed for the presence of bleaching";
    String long_name "SURVEY TYPE";
    String units "unitless";
  }
  WATER_TEMPERATURE {
    Float32 _FillValue NaN;
    Float32 actual_range 28.1, 28.4;
    String bcodmo_name "temperature";
    String description "Water temperature at each survey site from nearest thermistor";
    String long_name "WATER TEMPERATURE";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "Celsius";
  }
  TEMPERATURE_DEPTH {
    Float32 _FillValue NaN;
    Float32 actual_range 0.5, 0.5;
    String bcodmo_name "depth";
    String description "Depth where water temperature was recorded - depth of nearest thermistor";
    String long_name "TEMPERATURE DEPTH";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String units "meters (m)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Methodology:  
 \\u200bCorals were surveyed for bleaching during 10 minute timed swims by
snorkelers. During the 10 min survey snorkelers counted every coral colony and
scored the colony as being bleached or not. The number of corals dead from
bleaching were also counted (parameter \"percent mortality\"). Data are
expressed as the percentage of the total colonies that were bleached or dead
from bleaching.";
    String awards_0_award_nid "628988";
    String awards_0_award_number "OCE-1547952";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1547952";
    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 
"Bleaching 
  PI: Deron Burkepile 
  Data Version 1: 2019-06-10";
    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 "2019-06-10T19:41:09Z";
    String date_modified "2020-03-19T19:20:52Z";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.770442.1";
    Float64 Easternmost_Easting -149.75765;
    Float64 geospatial_lat_max -17.47187;
    Float64 geospatial_lat_min -17.60327;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -149.75765;
    Float64 geospatial_lon_min -149.92404;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2.5;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2021-10-15T20:46:36Z (local files)
2021-10-15T20:46:36Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_770442.das";
    String infoUrl "https://www.bco-dmo.org/dataset/770442";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, bleached, chemical, code, country, data, dataset, date, day, depth, dmo, erddap, latitude, LOCATION, longitude, management, month, mortality, MORTALITY_CODE, name, oceanography, office, percent, PERCENT_BLEACHED, PERCENT_MORTALITY, preliminary, site, SITE_NAME, survey, SURVEY_TYPE, temperature, TEMPERATURE_DEPTH, time, type, water, WATER_TEMPERATURE, year";
    String license "https://www.bco-dmo.org/dataset/770442/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/770442";
    Float64 Northernmost_Northing -17.47187;
    String param_mapping "{'770442': {'LATITUDE': 'master - latitude', 'DEPTH': 'master - depth', 'LONGITUDE': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/770442/parameters";
    String people_0_affiliation "University of California-Santa Barbara";
    String people_0_affiliation_acronym "UCSB";
    String people_0_person_name "Deron Burkepile";
    String people_0_person_nid "529592";
    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 "Amber York";
    String people_1_person_nid "643627";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Fish Derived Coral Nutrients";
    String projects_0_acronym "Fish Derived Coral Nutrients";
    String projects_0_description 
"NSF abstract:
Coral reefs are currently imperiled from a variety of human-induced threats from climate change, coral diseases, overexploitation of important fish species, and enrichment with excessive amounts of nutrients. These threats can result in the decline in corals and fishes and the rise in seaweeds, turning coral reefs into seaweed reefs. One important aspect of understanding how human-mediated changes impact the ecology of reefs is to understand how fishes impact important nutrient cycles on reefs. The investigators prior research suggests that fishes may be one of the most important sources of nitrogen and phosphorus on reefs via their daily excretions. These fish-derived nutrients may help corals grow faster but could also help seaweeds grow faster if corals are killed by other processes such as climate change or disease. However, nutrients from human-derived sources such as runoff from agriculture or sewage discharge can be harmful to corals as these nutrients are often of different types than those in fish excretions. The investigator seeks to understand how the different effects of fish-derived vs. human-derived nutrients impact coral growth, seaweed growth, and, ultimately, the health of coral reef ecosystems. This research will also facilitate a number of training and outreach opportunities including: (1) training graduate and undergraduate students, (2) creating a partnership between FIU and MAST@FIU, a new science and technology magnet high school, to educate underrepresented minorities in marine biology, (3) taking marine science to the masses with widely distributed videos, and (4) creating a citizen science initiative that will get interested marine biology students involved with helping to monitor some of the field experiments. Further, this work will generate much needed information on the science of coral reef restoration. Restoration of reefs is a growing field but many restoration efforts have little solid grounding in understanding the ecological processes that keep reefs healthy. Thus, this work will be able to make significant contribution to educating managers and restoration practitioners as to the processes that can help facilitate successful restoration efforts.

This research will address fundamental and untested questions of how nutrient excretion by fishes impacts coral reef communities. Prior data suggest that the ecology of reefs is critically linked to the role of fishes as providers of limiting nutrients since fishes are one of, if not the most important, sources of N on reefs. This research is not only unique in its scope but also timely due to the global threats to reefs. As overfishing removes important fishes (and their role as nutrient providers) and anthropogenic nutrient loading increases the abundance of potentially harmful nutrients, the nutrient regimes on reefs may be changing for the worse. The goal of this project is to quantify how nutrients from fish excretion impact coral reef community structure and how this effect varies across environmental context. Specifically, the investigator outlines research to focus on three general sets of objectives that will be approached on reefs in the Florida Keys, USA: (1) Assess how fish-derived nutrients influence benthic community structure and coral growth and health both across and within reefs and how this influence varies with abiotic context, (2) Test how the physiology and growth of individual corals and algae respond to the different nutrient sources in fish excretion vs. anthropogenic nutrient loading, and (3) Examine how fish-derived nutrients impact coral restoration and how to design restoration programs to take advantage of important of fish-derived nutrients for coral growth. These questions will be addressed with: (1) a field monitoring program (Objective 1), (2) mechanistic nutrient enrichment experiments (Objective 2), and (3) coral restoration experiments (Objective 3).
Please note that the project geolocation changed from the Florida Keys to Moorea, French Polynesia.";
    String projects_0_end_date "2020-04";
    String projects_0_geolocation "Moorea, French Polynesia";
    String projects_0_name "Fish-derived nutrients in a coral reef ecosystem - impacts on benthic communities and importance for coral restoration";
    String projects_0_project_nid "628989";
    String projects_0_start_date "2015-07";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -17.60327;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "COUNTRY,LOCATION,MONTH,YEAR,SURVEY_TYPE,TEMPERATURE_DEPTH";
    String summary "Coral bleaching prevalence in the lagoon of Moorea during 2016";
    String title "Coral bleaching prevalence in the lagoon of Moorea during 2016";
    String version "1";
    Float64 Westernmost_Easting -149.92404;
    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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