Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | [Critical swimming speed] - Recorded critical swimming speed of larval Amphiprion percula, Elacatinus lori, and Elacatinus colini measured throughout development from hatching through settlement. (Collaborative Research: The Role of Larval Orientation Behavior in Determining Population Connectivity) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_739149) |
| Information: | Summary
| License
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
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![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_739149.png?clutch_id,dph&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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Attributes {
s {
date {
String bcodmo_name "date";
String description "Date of swim trial; yyyy/mm/dd";
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";
}
sp {
String bcodmo_name "species";
String description "Reef fish species";
String long_name "SP";
String units "unitless";
}
pair_id {
String bcodmo_name "sample";
String description "Unique label indicating pair identity";
String long_name "Pair Id";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
clutch_id {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 2;
String bcodmo_name "sample_descrip";
String description "Identifies the clutch that individual were sampled from";
String long_name "Clutch Id";
String units "unitless";
}
dph {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 0, 30;
String bcodmo_name "days";
String description "Age in days post hatch";
String long_name "DPH";
String units "days post hatch";
}
stand_dph {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 1.0;
String bcodmo_name "age";
String description "A larva's age/the expected age at settlement for each species (i.e. 30 days post hatch (dph) for Elacatinus, 8 dph for A. percula).";
String long_name "Stand Dph";
String units "percent";
}
crit {
Float32 _FillValue NaN;
Float32 actual_range 0.1, 18.5;
String bcodmo_name "unknown";
String description "Critical swimming speed recorded for each larva";
String long_name "Crit";
String units "centimeters per second";
}
TL {
Float64 _FillValue NaN;
Float64 actual_range 3.102, 10.88066667;
String bcodmo_name "unknown";
String description "Total length";
String long_name "TL";
String units "milimeters";
}
SL {
Float64 _FillValue NaN;
Float64 actual_range 3.054666667, 9.453666667;
String bcodmo_name "unknown";
String description "Standard length";
String long_name "SL";
String units "milimeters";
}
BD {
Float64 _FillValue NaN;
Float64 actual_range 0.446, 2.319;
String bcodmo_name "width";
String description "Body depth";
String long_name "BD";
String units "milimeters";
}
PA {
Float64 _FillValue NaN;
Float64 actual_range 0.752666667, 46.751;
String bcodmo_name "unknown";
String description "Propulsive area";
String long_name "PA";
String units "milimeters squared";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
String acquisition_description
"To determine the effect of fish age on the swimming speed of larvae from
hatching through the onset of settlement, we evaluated the swimming speed
(Ucrit) of A. percula larvae at 0, 4, and 8 dph (day post hatch), and of E.
lori and E. colini at 0, 10, 20, and 30 dph . At the start of each trial, an
individual larva was acclimated to the flume for 2 min with water flowing at a
velocity of < 1 cm s-1. If the larva displayed normal orientation and swimming
behavior during acclimation, then the velocity was increased 2 cm s-1 every 2
minutes until the larva could no longer maintain position and was either
expelled from the flume or collected on the back mesh. Following trials,
recollected larvae or siblings from the same clutch were photographed using a
dissection microscope, and photos were measured for standard length using
ImageJ (NIH, USA; Table 2). A larva\\u2019s maximum swimming speed (Ucrit) was
then calculated following the equation from Brett (1964).";
String awards_0_award_nid "651264";
String awards_0_award_number "OCE-1459546";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459546";
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
"Critical Swimming Speed
P. Buston and J. Majoris, PIs
Version 22 June 2018";
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 "2018-06-22T17:48:56Z";
String date_modified "2019-06-07T18:02:11Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.739149.1";
String history
"2024-11-08T05:42:10Z (local files)
2024-11-08T05:42:10Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_739149.das";
String infoUrl "https://www.bco-dmo.org/dataset/739149";
String institution "BCO-DMO";
String instruments_0_dataset_instrument_description "Used to analyze fish swimming behavior";
String instruments_0_dataset_instrument_nid "739158";
String instruments_0_description "A tool used to analyze and quantify fish swimming behavior, physiology, and performance.";
String instruments_0_instrument_name "Swimming Flume";
String instruments_0_instrument_nid "739157";
String instruments_0_supplied_name "Custom designed swimming flume";
String keywords "bco, bco-dmo, biological, chemical, clutch, clutch_id, crit, data, dataset, date, dmo, dph, erddap, management, oceanography, office, pair, pair_id, preliminary, stand, stand_dph, time";
String license "https://www.bco-dmo.org/dataset/739149/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/739149";
String param_mapping "{'739149': {}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/739149/parameters";
String people_0_affiliation "Boston University";
String people_0_affiliation_acronym "BU";
String people_0_person_name "Dr Peter Buston";
String people_0_person_nid "544437";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Boston University";
String people_1_affiliation_acronym "BU";
String people_1_person_name "Dr John Majoris";
String people_1_person_nid "728439";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "Boston University";
String people_2_affiliation_acronym "BU";
String people_2_person_name "Dr John Majoris";
String people_2_person_nid "728439";
String people_2_role "Contact";
String people_2_role_type "related";
String people_3_affiliation "Woods Hole Oceanographic Institution";
String people_3_affiliation_acronym "WHOI BCO-DMO";
String people_3_person_name "Hannah Ake";
String people_3_person_nid "650173";
String people_3_role "BCO-DMO Data Manager";
String people_3_role_type "related";
String project "Elacatinus Dispersal II";
String projects_0_acronym "Elacatinus Dispersal II";
String projects_0_description
"Description from NSF award abstract:
Understanding how far young fish move away from their parents is a major goal of marine ecology because this dispersal can make connections between distinct populations and thus influence population size and dynamics. Understanding the drivers of population dynamics is, in turn, essential for effective fisheries management. Marine ecologists have used two different approaches to understand how fish populations are connected: genetic methods that measure connectivity and oceanographic models that predict connectivity. There is, however, a mismatch between the predictions of oceanographic models and the observations of genetic methods. It is thought that this mismatch is caused by the behavior of the young, or larval, fish. The objective of this research is to study the orientation capabilities of larval fish in the wild throughout development and under a variety of environmental conditions to see if the gap between observations and predictions of population connectivity can be resolved. The project will have broader impacts in three key areas: integration of research and teaching by training young scientists at multiple levels; broadening participation of undergraduates from underrepresented groups; and wide dissemination of results through development of a website with information and resources in English and Spanish.
The overall objective of the research is to investigate the role of larval orientation behavior throughout ontogeny in determining population connectivity. This will be done using the neon goby, Elacatinus lori, as a model system in Belize. The choice of study system is motivated by the fact that direct genetic methods have already been used to describe the complete dispersal kernel for this species, and these observations indicate that dispersal is less extensive than predicted by a high-resolution biophysical model; E. lori can be reared in the lab from hatching to settlement providing a reliable source of larvae of all ages for proposed experiments; and a new, proven behavioral observation platform, the Drifting In Situ Chamber (DISC), allows measurements of larval orientation behavior in open water. The project has three specific objectives: to understand ontogenetic changes in larval orientation capabilities by correlating larval orientation behavior with developmental sensory anatomy; to analyze variation in the precision of larval orientation in different environmental contexts through ontogeny; and to test alternative hypotheses for the goal of larval orientation behavior, i.e., to determine where larvae are heading as they develop.";
String projects_0_end_date "2018-04";
String projects_0_geolocation "Belizean Barrier Reef System";
String projects_0_name "Collaborative Research: The Role of Larval Orientation Behavior in Determining Population Connectivity";
String projects_0_project_nid "651265";
String projects_0_start_date "2015-05";
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 "Recorded critical swimming speed of larval Amphiprion percula, Elacatinus lori, and Elacatinus colini measured throughout development from hatching through settlement.";
String title "[Critical swimming speed] - Recorded critical swimming speed of larval Amphiprion percula, Elacatinus lori, and Elacatinus colini measured throughout development from hatching through settlement. (Collaborative Research: The Role of Larval Orientation Behavior in Determining Population Connectivity)";
String version "1";
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
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.