Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | Southern California sites surveyed for Ficopomatus enigmaticus in Orange and Los Angeles Counties, California, USA, from August to October 2015 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_682794) |
| Information: | Summary
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Attributes {
s {
site {
Byte _FillValue 127;
Byte actual_range 1, 54;
String bcodmo_name "site";
String description "Site number";
String long_name "Site";
String units "unitless";
}
site_name {
String bcodmo_name "site";
String description "Site name";
String long_name "Site Name";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 33.616, 33.9666;
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 -118.4535, -117.9044;
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";
}
date_sampled {
String bcodmo_name "date";
String description "Date of sampling formatted as yyyy-mm-dd";
String long_name "Date Sampled";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String source_name "date_sampled";
String time_precision "1970-01-01";
String units "unitless";
}
intertidal_substratum {
String bcodmo_name "site_descrip";
String description "Description of the intertidal substratum";
String long_name "Intertidal Substratum";
String units "unitless";
}
temp {
Byte _FillValue 127;
Byte actual_range 22, 28;
String bcodmo_name "temperature";
String description "Water temperature";
String long_name "Temperature";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius";
}
sal {
Byte _FillValue 127;
Byte actual_range 23, 35;
String bcodmo_name "sal";
String description "Water salinity";
String long_name "Sal";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "psu";
}
ficopomatus_presence {
String bcodmo_name "unknown";
String description "Presence of Ficopomatus enigmaticus (Y/N)";
String long_name "Ficopomatus Presence";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"See complete methodolgy\\u00a0in:
Pernet, B., et al. 2016.\\u00a0Establishment of the reef-forming tubeworm
Ficopomatus enigmaticus (Fauvel, 1923) (Annelida: Serpulidae) in southern
California.\\u00a0BioInvasions Records, Volume 5, Issue 1: 13\\u201319.
doi:[10.3391/bir.2016.5.1.03](\\\\\"https://dx.doi.org/10.3391/bir.2016.5.1.03\\\\\").
In brief (extracted from above):
54 intertidal sites were surveyed in Los Angeles and Orange Counties from
August-October 2015.All sites were relatively wave-protected, and all had hard
substrate that seemed likely to be suitable for colonization by Ficopomatus
enigmaticus.\\u00a0Surveys were carried out at or near the time of predicted
low tide. At each site, we characterized substrate type, measured water
temperature (with an alcohol or digital thermometer) and salinity (with a
calibrated refractometer), and searched the area for ~5 min for the presence
of serpulids.\\u00a0The tubes of F. enigmaticus are very distinctive and were
easily identifiable in the field. We characterized populations of F.
enigmaticus at each site as \\\"sparse\\\"\\u00a0when primarily isolated
individuals were identified, and \\\"abundant\\\"\\u00a0when worms were found in
large aggregations. Samples of F. enigmaticus were collected from some sites
and either fixed in 5% formalin in seawater and then preserved in 70% ethanol,
or preserved directly in 95% ethanol. All samples were deposited in the
polychaete collection of the Natural History Museum of Los Angeles County.";
String awards_0_award_nid "528890";
String awards_0_award_number "OCE-1060801";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1060801";
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
"Southern California sites surveyed for Ficopomatus enigmaticus
PI: Bruno Pernet (CSU Long Beach)
Version: 22 February 2017
Notes:
Intertidal sites 1-46 = Los Angeles County, sites 47-54 = Orange County.
\"Sparse\" = F. enigmaticus were found as individuals; \"abundant\" = F. enigmaticus were found as aggregations.
\"nd\" inidcates sites at which water samples couldn't be obtained.";
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 "2017-02-22T20:47:14Z";
String date_modified "2019-08-05T16:43:38Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.682794.1";
Float64 Easternmost_Easting -117.9044;
Float64 geospatial_lat_max 33.9666;
Float64 geospatial_lat_min 33.616;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -117.9044;
Float64 geospatial_lon_min -118.4535;
String geospatial_lon_units "degrees_east";
String history
"2024-04-26T22:26:58Z (local files)
2024-04-26T22:26:58Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_682794.html";
String infoUrl "https://www.bco-dmo.org/dataset/682794";
String institution "BCO-DMO";
String instruments_0_acronym "Water Temp Sensor";
String instruments_0_dataset_instrument_description "At each site, water temperature was measured with an alcohol or digital thermometer.";
String instruments_0_dataset_instrument_nid "682800";
String instruments_0_description "General term for an instrument that measures the temperature of the water with which it is in contact (thermometer).";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/134/";
String instruments_0_instrument_name "Water Temperature Sensor";
String instruments_0_instrument_nid "647";
String instruments_0_supplied_name "alcohol or digital thermometer";
String instruments_1_acronym "Refractometer";
String instruments_1_dataset_instrument_description "At each site, salinity was measured with a calibrated refractometer.";
String instruments_1_dataset_instrument_nid "682801";
String instruments_1_description
"A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation.
In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium.";
String instruments_1_instrument_name "Refractometer";
String instruments_1_instrument_nid "679";
String instruments_1_supplied_name "refractometer";
String keywords "altimetry, bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, ficopomatus, ficopomatus_presence, intertidal, intertidal_substratum, laboratory, latitude, longitude, management, name, oceanography, office, preliminary, presence, sal, sampled, satellite, site, site_name, substratum, temperature, time";
String license "https://www.bco-dmo.org/dataset/682794/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/682794";
Float64 Northernmost_Northing 33.9666;
String param_mapping "{'682794': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/682794/parameters";
String people_0_affiliation "California State University Long Beach";
String people_0_affiliation_acronym "CSULB";
String people_0_person_name "Bruno Pernet";
String people_0_person_nid "528893";
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 "Shannon Rauch";
String people_1_person_nid "51498";
String people_1_role "BCO-DMO Data Manager";
String people_1_role_type "related";
String project "Ciliated Larvae Feeding";
String projects_0_acronym "Ciliated Larvae Feeding";
String projects_0_description
"Description from NSF award abstract:
Many marine invertebrate larvae must feed to fuel development through metamorphosis to the juvenile stage. These feeding larvae capture suspended food particles in diverse ways. Laboratory evidence suggests that different larval feeding mechanisms may affect performance depending on particle types. For example, larvae of echinoderms feed by ciliary reversal, a mechanism that apparently limits clearance rates on small particles (10 um). Because the concentration of suspended food particles can constrain larval growth in natural waters, and because the size distribution of natural particles varies over space and time, maximum clearance rates imposed by a particular feeding mechanism may restrict larval growth rates and development. As a result, the planktonic period of suspension-feeding larvae would be extended and larval mortality (due to predation, or advection from suitable adult habitat) increased, leading to lower recruitment. In this way, performance constraints associated with particular larval feeding mechanisms could strongly affect population dynamics. Such effects are missing from population-dynamic models of benthic invertebrates, largely because they are not well understood. Toward this end, controlled comparisons are needed of the feeding capabilities of ciliated larvae that differ in feeding mechanism.
The present study will examine the feeding capabilities of larvae that gather food using one of three particle capture mechanisms (ciliary reversal, opposed band, or a \"mixed\" strategy of opposed band feeding and encounter feeding on large particles), and for larvae with distinct body forms (e.g., within opposed band feeding, trochophores vs. veligers). Three main hypotheses will be tested. (1) Larvae that differ in particle capture mechanisms/body form will also differ in either maximum clearance rates, or in the size spectrum of particles cleared at high rates. Laboratory experiments will involve artificial particles, varying only in size. (2) Hypothesized differences in (1) also hold for natural particles. Experiments will test semi-natural prey communities. (3) Larvae with different feeding mechanisms will perform best in specific feeding environments (e.g., those dominated by small particles versus large particles). Larval growth rates will be tested in experimentally manipulated, semi-natural food regimes.
Yielding explicit, planned comparisons of larval performance as a function of feeding mechanism, larval body form, and particle type, this research would improve understanding of the importance of larval feeding mechanism in the population dynamics of marine invertebrates. This study is relevant to many compelling questions in reproductive biology, ecology and evolution, such as: how do seasonal changes in the types of particulate food affect the performance of larvae with particular feeding mechanisms; how might such linkages be related to the evolution of seasonal reproductive patterns in various taxa of marine invertebrates; and how might human-mediated shifts in ocean temperature and chemistry (predicted to alter the size spectrum of potential food particles) affect performance of larvae with particular feeding mechanisms?";
String projects_0_end_date "2015-09";
String projects_0_geolocation "coastal northeastern Pacific (California, Washington)";
String projects_0_name "Feeding by the ciliated larvae of marine invertebrates: effects of diverse particle capture mechanisms on feeding performance";
String projects_0_project_nid "528891";
String projects_0_project_website "http://www.csulb.edu/colleges/cnsm/depts/biology/invertebrate_reproduction/";
String projects_0_start_date "2011-10";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 33.616;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "Southern California sites surveyed for Ficopomatus enigmaticus in Orange and Los Angeles Counties, California, USA, from August to October 2015.";
String title "Southern California sites surveyed for Ficopomatus enigmaticus in Orange and Los Angeles Counties, California, USA, from August to October 2015";
String version "1";
Float64 Westernmost_Easting -118.4535;
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.