Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [CTD cast log for mussel study] - CTD cast log from casts before and after larval vertical distribution sampling from R/V C-Hawk day cruises in the Eastern Gulf of Maine from 2012 to 2014 (Intertidal community assembly and dynamics: Integrating broad-scale regional variation in environmental forcing and benthic-pelagic coupling) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_783749) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
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Attributes {
s {
cast_name {
String bcodmo_name "cast";
String description "Cast name. Name includes the date/tidal phase combination, with file names formatted mm_dd_yy_tidephase_cast. Site name is added where multiple sites sampled in one day.";
String long_name "Cast Name";
String units "unitless";
}
File_name {
String bcodmo_name "file_name";
String description "File name CTD data originally recorded to.";
String long_name "File Name";
String units "unitless";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.343823835e+9, 1.407449542e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "Cast date and time (UTC) in ISO 8601 format yyyy-mm-ddTHH:MM:SSZ";
String ioos_category "Time";
String long_name "Cast Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "Cast_time_UTC";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00:00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
Cast_time_local {
String bcodmo_name "DateTime";
String description "Cast date and time (local,UTC-4) in format yyyy-mm-dd HH:MM:SS";
String long_name "Cast Time Local";
String time_precision "1970-01-01T00:00:00Z";
String units "unitless";
}
Cast_data {
String bcodmo_name "sample_descrip";
String description "Cast data (Raw or Down)";
String long_name "Cast Data";
String units "unitless";
}
Location_source {
String bcodmo_name "sample_descrip";
String description "GPS location source (GPS or Manual)";
String long_name "Location Source";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 44.4053986, 44.6608281;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "Cast start latitiude";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String source_name "Start_latitude";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -67.6534249, -67.3390943;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "Cast start longitude";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String source_name "Start_longitude";
String standard_name "longitude";
String units "degrees_east";
}
Start_altitude {
Float32 _FillValue NaN;
Float32 actual_range -39.53, 11.37;
String bcodmo_name "altitude";
String description "Cast start altitude";
String long_name "Start Altitude";
String units "meters";
}
Start_GPS_horizontal_error {
Float32 _FillValue NaN;
Float32 actual_range 1.96, 109.53;
String bcodmo_name "sample_descrip";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "Cast start GPS horizontal error";
String long_name "Start GPS Horizontal Error";
String units "meters";
}
Start_GPS_vertical_error {
Float32 _FillValue NaN;
Float32 actual_range 2.95, 175.17;
String bcodmo_name "sample_descrip";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "Cast start GPS vertical error";
String long_name "Start GPS Vertical Error";
String units "meters";
}
Start_GPS_number_of_satellites {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 4, 8;
String bcodmo_name "sample_descrip";
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
String description "Number of GPS satellites at start of cast";
String long_name "Start GPS Number Of Satellites";
String units "per satellite";
}
End_latitude {
Float64 _FillValue NaN;
Float64 actual_range 44.4050113, 44.6609108;
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "Cast end latitiude";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "decimal degrees";
}
End_longitude {
Float64 _FillValue NaN;
Float64 actual_range -67.653471, -67.3392694;
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "Cast end longitude";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "decimal degrees";
}
End_altitude {
Float32 _FillValue NaN;
Float32 actual_range -65.51, 32.57;
String bcodmo_name "altitude";
String description "Cast end altitude";
String long_name "End Altitude";
String units "meters";
}
End_GPS_horizontal_error {
Float32 _FillValue NaN;
Float32 actual_range 4.37, 285.85;
String bcodmo_name "sample_descrip";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "Cast end GPS horizontal error";
String long_name "End GPS Horizontal Error";
String units "meters";
}
End_GPS_vertical_error {
Float32 _FillValue NaN;
Float32 actual_range 6.56, 511.66;
String bcodmo_name "sample_descrip";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "Cast end GPS vertical error";
String long_name "End GPS Vertical Error";
String units "meters";
}
End_GPS_number_of_satellites {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 3, 8;
String bcodmo_name "sample_descrip";
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
String description "Number of GPS satellites at end of cast";
String long_name "End GPS Number Of Satellites";
String units "per satellite";
}
Cast_duration {
Float32 _FillValue NaN;
Float32 actual_range 44.4, 196.0;
String bcodmo_name "time_elapsed";
String description "Cast duration (seconds between start and end of cast)";
String long_name "Cast Duration";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/";
String units "seconds";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"Conductivity, temperature, and depth were sampled via an instrument cast from
a small boat. Casts were conducted immediately before and after the associated
larval vertical distribution sampling (see ) and on both flood and ebb tides.
For more information see the open-access publication Weinstock et al., 2018.
Each cast_name includes the date and tidal phase combination with names
including \\u201cmm_dd_yy tidephase cast\\u201d. The first cast was conducted
immediately before the larval vertical distribution sampling described in the
accompanying dataset file, and the second cast was conducted immediately after
larval sampling. An additional descriptor stating the site name (e.g. MB1) is
included in the cast_name from 8/16/12 onwards when two different sites were
sampled on the same date.
CTD sampling information
Device: CC1223007
Sample type: Cast
Default latitude: 32
Default altitude: 0
Pressure calibration date: 2012-05-31
Temperature calibration date: 2012-06-01
Conductivity calibration date: 2012-06-01
Samples per second: 5
C-Hawk cruise date/site combinations
Date\\t\\tSite
8/1/12\\t\\tMB1
8/16/12\\t\\tMB1 & MB2
8/22/12\\t\\tWB1
7/31/13\\t\\tWB2
7/22/14\\t\\tWB3
8/5/14\\t\\tWB3
8/6/14\\t\\tWB3
8/7/14\\t\\tWB3";
String awards_0_award_nid "542416";
String awards_0_award_number "OCE-1458188";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1458188";
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
"CTD cast log for mussel study
PI: Dr Philip O. Yund
Data Version 1: 2019-12-16";
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 "2019-12-09T20:23:07Z";
String date_modified "2020-01-03T17:34:17Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.783749.1";
Float64 Easternmost_Easting -67.3390943;
Float64 geospatial_lat_max 44.6608281;
Float64 geospatial_lat_min 44.4053986;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -67.3390943;
Float64 geospatial_lon_min -67.6534249;
String geospatial_lon_units "degrees_east";
String history
"2024-12-21T14:24:02Z (local files)
2024-12-21T14:24:02Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_783749.html";
String infoUrl "https://www.bco-dmo.org/dataset/783749";
String institution "BCO-DMO";
String keywords "altitude, bco, bco-dmo, biological, cast, Cast_data, Cast_duration, cast_name, Cast_time_local, chemical, data, dataset, dmo, duration, end, End_altitude, End_GPS_horizontal_error, End_GPS_number_of_satellites, End_GPS_vertical_error, End_latitude, End_longitude, erddap, error, file, File_name, global, gps, horizontal, latitude, local, Location_source, longitude, management, name, number, oceanography, office, positioning, preliminary, satellites, source, start, Start_altitude, Start_GPS_horizontal_error, Start_GPS_number_of_satellites, Start_GPS_vertical_error, system, time, vertical";
String license "https://www.bco-dmo.org/dataset/783749/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/783749";
Float64 Northernmost_Northing 44.6608281;
String param_mapping "{'783749': {'Start_longitude': 'flag - longitude', 'Cast_time_UTC': 'flag - time', 'Start_latitude': 'flag - latitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/783749/parameters";
String people_0_affiliation "Downeast Institute for Applied Marine Research and Education";
String people_0_affiliation_acronym "DEI";
String people_0_person_name "Dr Philip O. Yund";
String people_0_person_nid "51154";
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 "GOMEPRO";
String projects_0_acronym "GOMEPRO";
String projects_0_description
"Rocky intertidal habitats in the Gulf of Maine (GoM) provide a model system to examine the structure and dynamics of natural communities. Throughout the Gulf of Maine, the same species are often found in these habitats but community structure, dynamics and productivity differ markedly among 3 distinct regions (southern, central and northern GoM). Past influential work, conducted primarily in the southern and central GoM, focused on the local processes driving intertidal community structure but produced very different conceptual models of how these communities are structured. This project examines whether regional differences in rocky shore community processes are driven by differences in recruitment that are shaped by regional variation in temperature and food availability and nearshore coastal oceanography. This project will improve the understanding of how large-scale environmental forces interact with local processes to control the distribution of species and the structure and dynamics of these communities. Understanding the interaction between processes operating at different scales is fundamentally important to developing more reliable models that can be used to predict community dynamics. In addition, data resulting from this project will have important implications for regional dynamics in commercially important species and for ecosystem and fisheries management within the GoM.
The overarching hypothesis of this project is that regional differences in community-level processes are driven by very different patterns of population connectivity and recruitment in a few key species, and that these differences are ultimately caused by regional variation in temperature and food availability and mediated by physical larval transport processes. Hence, the project will test the following hypotheses with manipulative field experiments, field sampling, connectivity estimates, and integrative modeling:
1) Locally-dispersing species dominate dynamics in regions with a net export of planktonic larvae (Northern GoM), while species with planktonic larvae dominate the dynamics in regions with high settlement and extensive connectivity among populations (Southern GoM).
2) Settlement density of species with planktonic larvae increases from northern to southern regions in accord with regional variation in food availability.
3) Population connectivity varies greatly among regions, with regions differing in the degree to which they are self-seeded or serve as larval sources vs. sinks; self-seeding leads to relatively localized population dynamics in the middle portion of the GoM.
4) Patterns of population connectivity are driven by physical transport processes and can be represented by coupling basic larval behavior models with circulation models.
At 18 different sites in the GoM across ~ 600 km, surveys will evaluate variation in recruitment, food availability and secondary productivity and experiments will assess community processes in wave-exposed and sheltered habitats. We will use hydrographic, current profile, and larval vertical distribution surveys to collect data for coupled larval/circulation models. Population connectivity will be both modeled and empirically evaluated (for one species) using elemental fingerprinting. A spatially explicit metacommunity model will integrate across all project components and test the relative importance of regional and local processes in controlling community organization and dynamics.";
String projects_0_end_date "2019-01";
String projects_0_geolocation "Rocky intertidal shores and nearshore coastal waters throughout the Gulf of Maine";
String projects_0_name "Intertidal community assembly and dynamics: Integrating broad-scale regional variation in environmental forcing and benthic-pelagic coupling";
String projects_0_project_nid "542407";
String projects_0_start_date "2015-02";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 44.4053986;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "CTD cast log from casts before and after larval vertical distribution sampling from R/V C-Hawk day cruises in the Eastern Gulf of Maine from 2012 to 2014";
String time_coverage_end "2014-08-07T22:12:22Z";
String time_coverage_start "2012-08-01T12:23:55Z";
String title "[CTD cast log for mussel study] - CTD cast log from casts before and after larval vertical distribution sampling from R/V C-Hawk day cruises in the Eastern Gulf of Maine from 2012 to 2014 (Intertidal community assembly and dynamics: Integrating broad-scale regional variation in environmental forcing and benthic-pelagic coupling)";
String version "1";
Float64 Westernmost_Easting -67.6534249;
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.