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Dataset Title:  Depth distribution of mussel larvae in eastern Gulf of Maine from R/V C-Hawk
day cruises in the Eastern Gulf of Maine from 2012 to 2014
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_783755)
Range: longitude = -67.652695 to -67.34091°E, latitude = 44.409195 to 44.65706°N, depth = 0.0 to 17.0m, time = 2012-08-01T13:22Z to 2014-08-07T22:12Z
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 {
  Sample_Date {
    String bcodmo_name "date_utc";
    String description "Sample date in ISO 8601 format yyyy-mm-dd";
    String long_name "Sample Date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Site_name {
    String bcodmo_name "site";
    String description "Site name. Matches Fig. 1 in Weinstock et al. 2018";
    String long_name "Site Name";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 44.4091939, 44.657059;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Sample latitude";
    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 -67.6526958, -67.340914;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Sample longitude";
    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";
  }
  Start_time {
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Sample start time (UTC) in HH:MM";
    String long_name "Start Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String units "unitless";
  }
  End_time {
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Sample end time (UTC) in ISO 8601 format HH:MM";
    String long_name "End Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String units "unitless";
  }
  Tidal_Phase {
    String bcodmo_name "site_descrip";
    String description "Tidal phase (Ebb or Flood tide)";
    String long_name "Tidal Phase";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 17.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Sample depth";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  num_Mytilus_sp {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 7426;
    String bcodmo_name "abundance";
    String description "The number of Mytilus larvae as calculated by the methods of Weinstock et al. 2018.  The total number of bivalve larvae in the sample was multiplied by the fraction determined to be Mytilus edulis or Mytilus trossulus (the two species could not be distinguished) based on scanning electron microscope (SEM) analysis of larval hinge teeth.  These are the raw data used for analysis.";
    String long_name "Num Mytilus Sp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "per individual";
  }
  percent_of_Water_column_total {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 68.8;
    String bcodmo_name "abundance";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "The percent of water column total is number of Mytilus sp. divided by the sum of the number of Mytilus sp. at that location, date, and tidal phase for samples collected in 2014, and 1/3 of that same sum for samples collected in 2012 and 2013 to remove the effect of triplicate samples at each depth.  These data remove the effect of variation in total abundance among sampling dates/sites and are presented in Fig. 2 of Weinstock et al., 2018.";
    String long_name "Percent Of Water Column Total";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "percent";
  }
  Start_DateTime_UTC {
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Sample start datetime (UTC) in ISO 8601 format YYYY-mm-ddTHH:MMZ";
    String long_name "Start Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "Start_DateTime_UTC";
    String time_precision "1970-01-01T00:00Z";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.34382732e+9, 1.40744952e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Sample end datetime (UTC) in ISO 8601 format YYYY-mm-ddTHH:MMZ";
    String ioos_category "Time";
    String long_name "End Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Samples were collected by pumping 100L of water from specific depths and
filtering the water through a 50 \\u03bcm plankton net. Samples were preserved
in ethanol. Bivalve veligers were sorted from other plankton and enumerated
under a microscope. A random subset of approximately 33 veligers per sample
were prepared for SEM and viewed. Veligers were identified to the family level
based on previously published criteria for hinge tooth morphology and all
veligers classified as mytillids were measured. Mytilus sp. veligers were
distinguished from the much rarer Modiolus by established relationships
between shell length and the number of hinge teeth. The total number of
bivalve veligers was multiplied by the fraction identified as Mytilus sp. to
yield the estimated number of Mytilus sp. larvae in each sample. This method
did not allow us to distinguish Mytilus edulis larvae from Mytilus trossulus
larvae, but the later species is rare in the bays that we sampled.
 
For more information see Weinstock et al. 2018.";
    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 
"Mussel Larvae Vertical Distribution 
  PI(s): Dr Philip O. Yund 
  Data Version 1: 2019-12-20";
    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 "2019-12-09T20:26:57Z";
    String date_modified "2020-01-07T15:32:43Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.783755.1";
    Float64 Easternmost_Easting -67.340914;
    Float64 geospatial_lat_max 44.657059;
    Float64 geospatial_lat_min 44.4091939;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -67.340914;
    Float64 geospatial_lon_min -67.6526958;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 17.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2020-08-13T15:01:33Z (local files)
2020-08-13T15:01:33Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_783755.das";
    String infoUrl "https://www.bco-dmo.org/dataset/783755";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, column, data, dataset, date, depth, dmo, end, End_DateTime_UTC, End_time, erddap, latitude, longitude, management, mytilus, name, num, num_Mytilus_sp, oceanography, office, percent, percent_of_Water_column_total, phase, preliminary, sample, Sample_Date, site, Site_name, start, Start_time, tidal, Tidal_Phase, time, total, water";
    String license "https://www.bco-dmo.org/dataset/783755/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/783755";
    Float64 Northernmost_Northing 44.657059;
    String param_mapping "{'783755': {'Latitude': 'master - latitude', 'Depth': 'master - depth', 'Longitude': 'master - longitude', 'End_DateTime_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/783755/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 44.4091939;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Depth distribution of mussel larvae in eastern Gulf of Maine from R/V C-Hawk day cruises in the Eastern Gulf of Maine from 2012 to 2014";
    String time_coverage_end "2014-08-07T22:12Z";
    String time_coverage_start "2012-08-01T13:22Z";
    String title "Depth distribution of mussel larvae in eastern Gulf of Maine from R/V C-Hawk day cruises in the Eastern Gulf of Maine from 2012 to 2014";
    String version "1";
    Float64 Westernmost_Easting -67.6526958;
    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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