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Dataset Title:  Dates and locations of Callinectes blue crab samples from the coastal Atlantic
waters of north and south America, Gulf of Mexico and Caribbean from
Massachusetts to Uruguay from 2017 through 2019
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_785930)
Range: longitude = -97.199 to -36.5267°E, latitude = -34.6285 to 41.5317°N
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_ID {
    String bcodmo_name "sample";
    String description "unique identifier with place and year";
    String long_name "Sample ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Project_Identifier {
    String bcodmo_name "project";
    String description "identifier for the project";
    String long_name "Project Identifier";
    String units "unitless";
  }
  Geo_location_name {
    String bcodmo_name "site";
    String description "State or water body";
    String long_name "Geo Location Name";
    String units "unitless";
  }
  lat_lon {
    String bcodmo_name "site";
    String description "approximate lat and lon within 10km";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "unitless";
  }
  month_and_year {
    String bcodmo_name "sample_descrip";
    String description "Collection month and year; higher resolution dates are presented in yyyy-mm-dd format";
    String long_name "Month And Year";
    String units "unitless";
  }
  Collaborator {
    String bcodmo_name "unknown";
    String description "collaborating scientists; managers; and fishermen";
    String long_name "Collaborator";
    String units "unitless";
  }
  Permitting_info {
    String bcodmo_name "sample_descrip";
    String description "Authority under which collection is made";
    String long_name "Permitting Info";
    String units "unitless";
  }
  Collection_method {
    String bcodmo_name "sample_descrip";
    String description "capture method";
    String long_name "Collection Method";
    String units "unitless";
  }
  Sample_size {
    Int16 _FillValue 32767;
    Int16 actual_range 15, 209;
    String bcodmo_name "sample_descrip";
    String description "number of crabs in the collection";
    String long_name "Sample Size";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -34.6285, 41.5317;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude with negative values indicating South";
    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 -97.199, -36.5267;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude with negative values indicating West";
    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";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "\"\"";
    String awards_0_award_nid "739620";
    String awards_0_award_number "OCE-1658466";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1658466";
    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 "Daniel Thornhill";
    String awards_0_program_manager_nid "722161";
    String awards_1_award_nid "739627";
    String awards_1_award_number "OCE-1658396";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1658396";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Daniel Thornhill";
    String awards_1_program_manager_nid "722161";
    String awards_2_award_nid "739631";
    String awards_2_award_number "OCE-1658389";
    String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1658389";
    String awards_2_funder_name "NSF Division of Ocean Sciences";
    String awards_2_funding_acronym "NSF OCE";
    String awards_2_funding_source_nid "355";
    String awards_2_program_manager "Daniel Thornhill";
    String awards_2_program_manager_nid "722161";
    String cdm_data_type "Other";
    String comment 
"Dates and locations of Callinectes blue crab samples from the coastal Atlantic waters of north and south America, Gulf of Mexico and Caribbean from Massachusetts to Uruguay from 2017 through 2019 
  PI: Eric Schott 
  Version: 2020-01-16";
    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 "2020-01-06T15:26:49Z";
    String date_modified "2020-01-16T16:06:37Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.785930.1";
    Float64 Easternmost_Easting -36.5267;
    Float64 geospatial_lat_max 41.5317;
    Float64 geospatial_lat_min -34.6285;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -36.5267;
    Float64 geospatial_lon_min -97.199;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-08-10T07:45:14Z (local files)
2020-08-10T07:45:14Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_785930.das";
    String infoUrl "https://www.bco-dmo.org/dataset/785930";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, collaborator, collection, Collection_method, data, dataset, dmo, erddap, geo, Geo_location_name, identifier, info, lat_lon, latitude, longitude, management, method, month, month_and_year, name, oceanography, office, permitting, Permitting_info, preliminary, project, Project_Identifier, sample, sample_ID, Sample_size, size, year";
    String license "https://www.bco-dmo.org/dataset/785930/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/785930";
    Float64 Northernmost_Northing 41.5317;
    String param_mapping "{'785930': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/785930/parameters";
    String people_0_affiliation "University of Maryland Center for Environmental Science";
    String people_0_affiliation_acronym "UMCES/IMET";
    String people_0_person_name "Eric Schott";
    String people_0_person_nid "739623";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Florida";
    String people_1_affiliation_acronym "UF";
    String people_1_person_name "Donald Behringer";
    String people_1_person_nid "472641";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Shedd Aquarium";
    String people_2_person_name "Andrew Kough";
    String people_2_person_nid "739633";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of Maryland Center for Environmental Science";
    String people_3_affiliation_acronym "UMCES/HPL";
    String people_3_person_name "Dr Louis V. Plough";
    String people_3_person_nid "627831";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Mathew Biddle";
    String people_4_person_nid "708682";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "Blue Crab Connectivity";
    String projects_0_acronym "Blue Crab Connectivity";
    String projects_0_description 
"NSF Award Abstract:
Marine invertebrates use an array of strategies to survive, move, and reproduce across diverse and dynamic environmental conditions. This project investigates the intersection of these strategies and how they facilitate the persistence of blue crabs and a pathogenic virus along the Atlantic coast of North and South America. The widespread distribution of this crab-virus system makes it useful for investigating host-pathogen interactions. Blue crabs can reduce their activity level and induce winter dormancy in colder climates, but it is unclear how this alters progression and transmission of the pathogen. Conversely, year-round growth and reproduction of tropical blue crabs may be offset by higher pathogen abundance and activity. This project will use a combination of field and laboratory studies to reveal how crab life history and pathogen dynamics interact and adapt at the extremes of their range. Genetic sequencing, crab movement tracking and oceanographic models will be used to understand how crab-disease dynamics vary across temperate and tropical latitudes. The blue crab is an ecologically and economically important species and knowledge generated in this project will help provide management guidance to support sustainable fisheries. Best practices to avoid and limit disease will be communicated to commercial and artisanal harvesters through partnerships and workshops. Local high school and undergraduate students from underrepresented groups will be engaged through a variety of formal and informal educational programs. Public outreach will be implemented through a museum partnership with the Shedd Aquarium and will include the training of a science communication intern.
This collaborative project will combine empirical field and laboratory experiments, population genomics, and biophysical modeling to explore the consequences of latitude-driven changes in life history and oceanic connectivity on a trans-hemispheric pathosystem comprised of the blue crab, Callinectes sapidus, and the pathogenic virus, CsRV1. The virulence of the CsRV1 virus from tropical and temperate latitudes and the impact of overwintering will be studied by experimental virus challenges of crabs transplanted between high and low latitudes. The impact of infection and virulence on crab movement will be investigated in laboratory raceway experiments of healthy and infected crabs and in the field with acoustically tagged crabs deployed in temperate and tropical locations. Population genetic studies using thousands of genome-wide RAD sequencing markers for crabs and whole-genome sequencing for the virus will define genetic connectivity of crab and virus populations across their range, and will investigate the possible latitudinal, seascape, and life history-driven changes in blue crab and virus genomes. The two population genomic data sets are expected to provide different inferences and scales of connectivity because CsRV1 virus genotypes are transmitted only among post-larval crabs while blue crab genotypes also move by a potentially long-range dispersive larval stage. Finally, integrated biophysical models will be used to investigate the relative contributions of adult and larval dispersal on the population structure of the crab and the pathogen across a broad swath of habitat between New England and Argentina with a decade of simulations. An open-source Lagrangian stochastic model will estimate pelagic larval transport, and spatially explicit biased-correlated random walk models will estimate adult movement. Models will be informed by experimentally-derived movement and behavior data, as well as information on crab larval and adult behavior and overwintering duration available in the published literature. Under a series of scenarios in which crab behavior is affected by latitude and virus infection, statistical comparisons will be made between biophysical model-based predictions of connectivity and genetic estimates of connectivity. These analyses will advance our understanding of the physical, environmental, and biological factors that shape the dynamics of the blue crab CsRV1 pathosystem.";
    String projects_0_end_date "2020-06";
    String projects_0_geolocation "Atlantic coast of north and south America from Massachusetts to Southern Brazil, Caribbean";
    String projects_0_name "Collaborative research: Variation in life history and connectivity as drivers of pathogen-host dynamics and genetic structure in a trans-hemispheric pathosystem";
    String projects_0_project_nid "739621";
    String projects_0_start_date "2017-07";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -34.6285;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Dates and locations of Callinectes blue crab samples from the coastal Atlantic waters of north and south America, Gulf of Mexico and Caribbean from Massachusetts to Uruguay from 2017 through 2019. Crab populations sampled using methods available to collaborating scientists, managers, and fishermen, as listed in the table.";
    String title "Dates and locations of Callinectes blue crab samples from the coastal Atlantic waters of north and south America, Gulf of Mexico and Caribbean from Massachusetts to Uruguay from 2017 through 2019";
    String version "1";
    Float64 Westernmost_Easting -97.199;
    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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