Data Access Form

Dataset Title:	[Invasive lionfish density dependence - Recruitment and Immigration] - Experimental results on density dependent recruitment and immigration in invasive red lionfish sampled at Lee Stocking Island, Bahamas in 2011 (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_653309)
Information:	Summary \| License \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Variable	Minimum	Maximum
date (unitless)	"07/03/11"	"08/21/11"
reef (unitless)	"A-00"	"A-14"
lionfish_density_mean (count per square meter)	0	12
lionfish_size (centimeters)	2.5	12.0
notes (unitless)	"FROM A-04"	"NaN"

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  date {
    String bcodmo_name "date";
    String description "Date that lionfish were sampled; mm/dd/yy";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  reef {
    String bcodmo_name "site";
    String description "Unique reef identification code";
    String long_name "Reef";
    String units "unitless";
  }
  lionfish_density_mean {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 12;
    String bcodmo_name "mean";
    String description "Average lionfish density (rounded to the nearest fish) on each reef throughout the experiment.";
    String long_name "Lionfish Density Mean";
    String units "count per square meter";
  }
  lionfish_size {
    Float32 _FillValue NaN;
    Float32 actual_range 2.5, 12.0;
    String bcodmo_name "fish_len";
    String description "Total length of new lionfish found on the reef (i.e. an untagged lionfish)";
    String long_name "Lionfish Size";
    String units "centimeters";
  }
  notes {
    String bcodmo_name "comment";
    String description "Notes on findings";
    String long_name "Notes";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Field experiment on artificial patch reefs to test for effects of\\u00a0
invasive red lionfish density on native coral-reef fishes. Four reefs were
used as 0-lionfish control reefs and there was one reef per remaining lionfish
treatment (2, 4, 6, 8, 10, and 12 lionfish/m2). Using SCUBA and handnets, we
collected lionfish ranging in initial size from 40 to 71mm total length [TL]
from nearby reefs.\\u00a0 Each lionfish was given a unique elastomer tag
(Northwest Marine Technology Inc., Shaw Island, WA, USA) to differentiate
between lionfish at the start of the experiment and any new immigrants over
the course of the study and to monitor demographic rates as part of another
study (see related files and references). Treatments were started on all reefs
within a 2-week period. To maintain treatments, we monitored lionfish density
during weekly visits and removed any new lionfish recruits (total of 15
throughout experiment) and immigrants (total of 5 throughout experiment). In
addition, we removed resident native piscivores and standardized the number of
Nassau grouper (Epinephelus striatus) and territorial damselfishes (Stegastes
spp.) weekly to mitigate any confounding effects of these strong interactors
on fish recruitment. Of the lionfish initially placed on the reefs, only 6 out
of 40 disappeared. To account for the small changes in lionfish density
throughout the experiment, we averaged the weekly lionfish densities on each
reef over the course of the experiment (1, 2, 4, 7, 10, and 12 lionfish/m^2).
 
Following the establishment of lionfish density treatments, a pair of divers
using SCUBA censused the entire fish community on each reef weekly for 7
weeks, recording the species, abundance, and body size (TL estimated to the
nearest centimeter) of all fish present both on the reefs and within a 1-m
radius around the reefs. Divers slowly approached the reefs and first counted
all planktivorous and active species hovering above the reefs from a distance
of approximately 3 m. From a distance of 1 m, the divers slowly circled the
reefs and counted all other species, using dive lights to count cryptic
species in holes.
 
All data were entered by one person, and then subsequently checked by another
person to ensure accuracy. \\u00a0";
    String awards_0_award_nid "561016";
    String awards_0_award_number "OCE-1233027";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1233027";
    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 
"Density Dependence - Recruitment & Immigration 
   Lead PI: Mark Hixon 
   Sub-Project Lead: Casey Benkwitt 
   Version 5 August 2016";
    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 "2016-08-05T17:26:56Z";
    String date_modified "2019-05-22T18:54:24Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.653309.1";
    String history 
"2024-11-21T09:02:14Z (local files)
2024-11-21T09:02:14Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_653309.html";
    String infoUrl "https://www.bco-dmo.org/dataset/653309";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, density, dmo, erddap, lionfish, lionfish_density_mean, lionfish_size, management, mean, notes, oceanography, office, preliminary, reef, size";
    String license "https://www.bco-dmo.org/dataset/653309/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/653309";
    String param_mapping "{'653309': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/653309/parameters";
    String people_0_affiliation "University of Hawaii";
    String people_0_person_name "Mark Hixon";
    String people_0_person_nid "51647";
    String people_0_role "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 "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 "Hannah Ake";
    String people_2_person_nid "650173";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "BiodiversityLossEffects_lionfish";
    String projects_0_acronym "BiodiversityLossEffects_lionfish";
    String projects_0_description 
"The Pacific red lionfish (Pterois volitans), a popular aquarium fish, was introduced to the Atlantic Ocean in the vicinity of Florida in the late 20th century. Voraciously consuming small native coral-reef fishes, including the juveniles of fisheries and ecologically important species, the invader has undergone a population explosion that now ranges from the U.S. southeastern seaboard to the Gulf of Mexico and across the greater Caribbean region. The PI's past research determined that invasive lionfish (1) have escaped their natural enemies in the Pacific (lionfish are much less abundant in their native range); (2) are not yet controlled by Atlantic predators, competitors, or parasites; (3) have strong negative effects on populations of native Atlantic fishes; and (4) locally reduce the diversity (number of species) of native fishes. The lionfish invasion has been recognized as one of the major conservation threats worldwide.
The Bahamas support the highest abundances of invasive lionfish globally. This system thus provides an unprecedented opportunity to understand the direct and indirect effects of a major invader on a diverse community, as well as the underlying causative mechanisms. The PI will focus on five related questions: (1) How does long-term predation by lionfish alter the structure of native reef-fish communities? (2) How does lionfish predation destabilize native prey population dynamics, possibly causing local extinctions? (3) Is there a lionfish-herbivore-seaweed trophic cascade on invaded reefs? (4) How do lionfish modify cleaning mutualisms on invaded reefs? (5) Are lionfish reaching densities where natural population limits are evident?";
    String projects_0_end_date "2016-07";
    String projects_0_geolocation "Three Bahamian sites: 24.8318, -076.3299;  23.8562, -076.2250; 23.7727, -076.1071; Caribbean Netherlands: 12.1599, -068.2820";
    String projects_0_name "Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish";
    String projects_0_project_nid "561017";
    String projects_0_project_website "http://hixon.science.oregonstate.edu/content/highlight-lionfish-invasion";
    String projects_0_start_date "2012-08";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Experimental results on density dependent recruitment and immigration in invasive red lionfish sampled at Lee Stocking Island, Bahamas in 2011";
    String title "[Invasive lionfish density dependence - Recruitment and Immigration] - Experimental results on density dependent recruitment and immigration in invasive red lionfish sampled at Lee Stocking Island, Bahamas in 2011 (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

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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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
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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
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For details, see the tabledap Documentation.