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Dataset Title:  Lionfish movements to/from reefs observed during study of effect of density on
lionfish behavior at Eleuthera, Bahamas in 2012 (Lionfish Invasion project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3991)
Range: longitude = -76.28902 to -76.24447°E, latitude = 24.79488 to 24.87336°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 {
  site {
    String bcodmo_name "site";
    String description "Name of individual reef site.";
    String long_name "Site";
    String units "text";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 24.79488, 24.87336;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of the reef 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 -76.28902, -76.24447;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of the reef 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";
  }
  surface_area {
    Float32 _FillValue NaN;
    Float32 actual_range 4.79, 32.99;
    String bcodmo_name "unknown";
    String description "Surface area of reef (meters squared).";
    String long_name "Surface Area";
    String units "m^2";
  }
  time_of_day {
    String bcodmo_name "time_of_day";
    String description "Classified as Dawn, Midday, or Dusk";
    String long_name "Time Of Day";
    String units "text";
  }
  date {
    String bcodmo_name "date";
    String description "Date of observation (month/day/year) in mm/dd/YYYY format.";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  count_start {
    Byte _FillValue 127;
    Byte actual_range 0, 16;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Number of lionfish present at the reef at the start of the observation.";
    String long_name "Count Start";
    String units "integer";
  }
  count_end {
    Byte _FillValue 127;
    Byte actual_range 1, 16;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Number of lionfish present at the reef at the end of the observation.";
    String long_name "Count End";
    String units "integer";
  }
  density_start {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1.01;
    String bcodmo_name "unknown";
    String description "Lionfish density at site at the start of the observation (number of lionfish per meter squared).";
    String long_name "Density Start";
    String units "#/m^2";
  }
  density_end {
    Float32 _FillValue NaN;
    Float32 actual_range 0.04, 1.01;
    String bcodmo_name "unknown";
    String description "Lionfish density at site at the end of the observation (number of lionfish per meter squared).";
    String long_name "Density End";
    String units "#/m^2";
  }
  change_in_count {
    Byte _FillValue 127;
    Byte actual_range -5, 10;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Change in number of lionfish on reef from the start of the observation to the end of the observation.";
    String long_name "Change In Count";
    String units "integer";
  }
  change_in_density {
    Float32 _FillValue NaN;
    Float32 actual_range -0.63, 0.37;
    String bcodmo_name "unknown";
    String description "Change in density of lionfish on reef from the start of the observation to the end of the observation (number per meter squared).";
    String long_name "Change In Density";
    String units "#/m^2";
  }
  highest_count {
    Byte _FillValue 127;
    Byte actual_range 1, 16;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Highest number of lionfish seen on the reef during any observation period.";
    String long_name "Highest Count";
    String units "integer";
  }
  highest_density {
    Float32 _FillValue NaN;
    Float32 actual_range 0.11, 1.01;
    String bcodmo_name "unknown";
    String description "Highest density of lionfish seen on the reef during any observation period (number per meter squared).";
    String long_name "Highest Density";
    String units "#/m^2";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Each reef was visited at three times of day: dawn, midday, and dusk, and two
focal lionfish were observed during each visit at each reef. Focal lionfish
were observed for 10 minute intervals and all activity was recorded. The
number of lionfish on each reef was counted at the beginning of the
observation period and again at the end, to get a measure of how many were
leaving/returning to the reef from the surrounding seagrass.";
    String awards_0_award_nid "55160";
    String awards_0_award_number "OCE-0851162";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0851162";
    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 
"Summary of Lionfish Movements to/from Reefs 
  (From sub-project \"Effect of invasive lionfish density on behavior\") 
 Lead PI: Mark Hixon (OSU) 
 Sub-Project Lead: Cassandra E. Benkwitt (OSU) 
 Version: 08 July 2013";
    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 "2013-07-09T14:01:07Z";
    String date_modified "2019-11-12T20:29:52Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3991.1";
    Float64 Easternmost_Easting -76.24447;
    Float64 geospatial_lat_max 24.87336;
    Float64 geospatial_lat_min 24.79488;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -76.24447;
    Float64 geospatial_lon_min -76.28902;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-08-13T00:40:37Z (local files)
2022-08-13T00:40:37Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3991.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3991";
    String institution "BCO-DMO";
    String keywords "area, bco, bco-dmo, biological, change, change_in_count, change_in_density, chemical, count, count_end, count_start, data, dataset, date, day, density, density_end, density_start, dmo, end, erddap, highest, highest_count, highest_density, latitude, longitude, management, oceanography, office, preliminary, site, start, surface, surface_area, time, time_of_day";
    String license "https://www.bco-dmo.org/dataset/3991/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3991";
    Float64 Northernmost_Northing 24.87336;
    String param_mapping "{'3991': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3991/parameters";
    String people_0_affiliation "Oregon State University";
    String people_0_affiliation_acronym "OSU";
    String people_0_person_name "Mark Hixon";
    String people_0_person_nid "51647";
    String people_0_role "Lead Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Oregon State University";
    String people_1_affiliation_acronym "OSU";
    String people_1_person_name "Cassandra E. Benkwitt";
    String people_1_person_nid "51706";
    String people_1_role "Scientist";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Lionfish Invasion";
    String projects_0_acronym "Lionfish Invasion";
    String projects_0_description 
"Invasive species are increasingly introduced by human activities to new regions of the world where those species have never existed previously. In the absence of natural enemies (predators, competitors, and diseases) from their homeland, invasives may have strong negative effects on invaded ecosystems, especially systems with fewer species (\"ecological release\"), and may even drive native species extinct. However, if native natural enemies can somehow control the invaders (\"ecological resistance\"), then ecological disruption can be prevented or at least moderated. Most of the many invasive species in the sea have been seaweeds and invertebrates, and the few documented invasive marine fishes have not caused major problems. However, this situation has recently changed in a stunning and ominous way. In the early 1990s, lionfish (Pterois volitans) from the Pacific Ocean were accidentally or intentionally released from aquaria to the ocean in the vicinity of Florida. Camouflaged by shape and color, protected by venomous spines, consuming native coral-reef fishes voraciously, and reproducing rapidly, lionfish have subsequently undergone a population explosion. They now range from the mid-Atlantic coast of the US to the Caribbean, including the Bahamas. Native Atlantic fishes have never before encountered this spiny, stealthy, efficient predator and seldom take evasive action. In fact, the investigator has documented that a single lionfish is capable of reducing the abundance of small fish on a small coral patch reef by nearly 80% in just 5 weeks. There is great concern that invasive lionfish may severely reduce the abundance of native coral-reef fishes important as food for humans (e.g., grouper and snapper in their juvenile stages) as well as species that normally maintain the integrity of coral reefs (e.g., grazing parrotfishes that can prevent seaweeds from smothering corals). There are far more species of coral-reef fish in the Pacific than the Atlantic, so this invasion may represent a case of extreme ecological release with minor ecological resistance. Dr. Hixon and colleagues will study the mechanisms of ecological release in lionfish, as well as examine potential sources of ecological resistance in the heavily invaded Bahamas. Because very little is known about the ecology and behavior of lionfish in their native Pacific range, he will also conduct comparative studies in both oceans, which may provide clues regarding the extreme success of this invasion. In the Bahamas, the investigator will document the direct and indirect effects on native species of the ecological release of lionfish, both as a predator and as a competitor. These studies will be conducted at various scales of time and space, from short-term experiments on small patch reefs, to long-term experiments and observations on large reefs. Whereas direct effects involve mostly changes in the abundance of native species, indirect effects can be highly variable. For example, lionfish may actually indirectly benefit some native species by either consuming or outcompeting the competitors of those natives. The project will explore possible ecological resistance to the invasion by determining whether any native Bahamian species are effective natural enemies of lionfish, including predators, parasites, and competitors of both juvenile and adult lionfish. Comparative studies of natural enemies, as well as lionfish ecology and behavior, in both the Atlantic and the Pacific may provide clues regarding the explosive spread of lionfish in the Atlantic.
Regarding broader impacts, this basic research will provide information valuable to coral-reef and fisheries managers fighting the lionfish invasion in the US, the Bahamas, and the greater Caribbean, especially if sources of native ecological resistance are identified. The study will fund the PhD research of U.S. graduate students, as well as involve assistance and participation by a broad variety of undergraduates and reef/fisheries managers, including women, minorities, native Bahamians, and native Pacific islanders. Participation in this project will promote education in marine ecology and conservation biology directly via Dr. Hixon's and graduate students' teaching and outreach activities, and indirectly via the experiences of undergraduate field assistants and various associates.";
    String projects_0_end_date "2012-11";
    String projects_0_geolocation "Bahamas; Cayman Islands; Mariana Islands; Philippines";
    String projects_0_name "Ecological Release and Resistance at Sea: Invasion of Atlantic Coral Reefs by Pacific Lionfish";
    String projects_0_project_nid "2256";
    String projects_0_project_website "http://hixon.science.oregonstate.edu/content/highlight-lionfish-invasion";
    String projects_0_start_date "2009-06";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 24.79488;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "An observational field study was conducted on natural patch reefs with varying lionfish densities to determine if local invasive lionfish density affects lionfish behavior. This dataset contains counts of lionfish present on reefs at the start and end of each reef visit, to get a measure of collective foraging range. The observations took place on natural reefs near Rock Sound, Eleuthera, Bahamas from 16 July to 30 August 2012.";
    String title "Lionfish movements to/from reefs observed during study of effect of density on lionfish behavior at Eleuthera, Bahamas in 2012 (Lionfish Invasion project)";
    String version "1";
    Float64 Westernmost_Easting -76.28902;
    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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