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Dataset Title:  Confirmed right whale identifications in Cape Cod Bay and adjacent waters from
the R/V Shearwater NEC-MB2002-1, 2002 (NEC-CoopRes project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2990)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  region {
    String description "Cape Cod Bay or Adjacent Waters";
    String ioos_category "Location";
    String long_name "Region";
  }
  whale_id {
    String description "identification number of individual whales";
    String ioos_category "Identifier";
    String long_name "Whale Id";
  }
  sex {
    String description "gender of the identified animal.  M = male; F = female; U = undetermined.";
    String ioos_category "Biology";
    String long_name "Sex";
    String units "dimensionless";
  }
  age {
    String description "age of identified animal.  A = adult; C = calf; J = juvenile.";
    String ioos_category "Time";
    String long_name "Age";
    String units "years";
  }
  yrday_local {
    Int16 _FillValue 32767;
    Int16 actual_range 38, 132;
    String description "local year day";
    String ioos_category "Unknown";
    String long_name "Yrday Local";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2002, 2002;
    String description "year";
    String ioos_category "Time";
    String long_name "Year";
  }
  month_local {
    String description "local month";
    String ioos_category "Time";
    String long_name "Month Local";
  }
  day_local {
    String description "local day";
    String ioos_category "Time";
    String long_name "Day Local";
  }
  sighting {
    String description 
"X = sighted;
nd = not sighted";
    String ioos_category "Unknown";
    String long_name "Sighting";
  }
  comments {
    String description "free text comments";
    String ioos_category "Unknown";
    String long_name "Comments";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Photographic Methods  
 i) Identification Photographs:  
 During aerial and shipboard surveys, photographs were taken on Kodak
Kodachrome 200ASA color slide film, using hand-held 35-mm cameras equipped
with 300-mm telephoto lenses and motor drives. From the air, photographers
attempted to obtain good perpendicular photographs of the entire rostral
callosity pattern and back of every right whale encountered as well as any
other scars or markings. From the boat, photographers attempted to collect
good oblique photographs of both sides of the head and chin, the body and the
flukes. The data recorder on both platforms was responsible for keeping a
written record of the roll and frame numbers shot by each photographer in the
daily log.
 
ii) Photo-analysis and Matching:  
 Photographs of right whale callosity patterns are used as a basis for
identification and cataloging of individuals, following methods developed by
Payne et al (1983) and Kraus et al (1986). The cataloging of individually
identified animals is based on using high quality photographs of distinctive
callosity patterns (raised patches of roughened skin on the top and sides of
the head), ventral pigmentation, lip ridges, and scars (Kraus et al 1986). New
England Aquarium (NEAq) has curated the catalogue since 1980 and to the best
of their knowledge, all photographs of right whales taken in the North
Atlantic since 1935 have been included in NEAq's files. This catalogue allows
scientists to enumerate the population, and, from resightings of known
individuals, to monitor the animals' reproductive status, births, deaths,
scarring, distribution and migrations. Since 1980, a total of 26,275 sightings
of 436 individual right whales have been archived, of which 327 are thought to
be alive, as of December 2001 (A. Knowlton, NEAq, pers. comm.)
 
The matching process consists of separating photographs of right whales into
individuals and inter-matching between days within the season. To match
different sightings of the same whale, composite drawings and photographs of
the callosity patterns of individual right whales are compared to a limited
subset of the catalogue that includes animals with a similar appearance. For
whales that look alike in the first sort, the original photographs of all
probable matches are examined for callosity similarities and supplementary
features, including scars, pigmentation, lip crenulations, and morphometric
ratios. A match between different sightings is considered positive when the
callosity pattern and at least one other feature can be independently matched
by at least two experienced researchers (Kraus et al 1986). Exceptions to this
multiple identifying feature requirement include whales that have unusual
callosity patterns, large scars or birthmarks, or deformities so unique that
matches from clear photographs can be based on only one feature. Preliminary
photo-analysis and inter-matching was carried out at CCS, with matches
confirmed using original photographs cataloged and archived at NEAq.
 
iii) Photographic Data Archiving  
 Upon completion of the matching process, all original slides were returned
to CCS and incorporated into the CCS catalogue of identified right whales to
update existing files, using the same numbering system as NEAq, in archival
quality slide sheets. NEAq archives copies of photographs representing each
sighting. Copies of photographs of individuals that are better than existing
records, and photographs of newly identified whales, will be included in the
NEAq master files as \\\"type specimens\\\" for future reference. The master files
are maintained in fireproof safes at NEAq. All catalogue files are available
for inspection and on-site use by contributors and collaborators.";
    String awards_0_award_nid "55048";
    String awards_0_award_number "unknown NEC-CoopRes NOAA";
    String awards_0_funder_name "National Oceanic and Atmospheric Administration";
    String awards_0_funding_acronym "NOAA";
    String awards_0_funding_source_nid "352";
    String cdm_data_type "Other";
    String comment 
"Sighting records of right whales seen in Cape Cod Bay 
        and adjacent waters, January to mid-May 2002. 
  P.I.: Moira Brown 
  project title: 'Surveillance, Monitoring, and Management of 
        Right Whales and Habitat of Cape Cod Bay: 2002' 
        (report Appendix II)";
    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.pl v1.0";
    String date_created "2010-06-16T20:40:39Z";
    String date_modified "2019-03-14T19:00:56Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.2990.1";
    String history 
"2019-06-17T08:32:06Z (local files)
2019-06-17T08:32:06Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2990.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2990";
    String institution "BCO-DMO";
    String instruments_0_acronym "camera";
    String instruments_0_dataset_instrument_description "35 mm camera";
    String instruments_0_dataset_instrument_nid "4731";
    String instruments_0_description "All types of photographic equipment including stills, video, film and digital systems.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/311/";
    String instruments_0_instrument_name "Camera";
    String instruments_0_instrument_nid "520";
    String instruments_0_supplied_name "Camera";
    String keywords "age, bco, bco-dmo, biological, biology, chemical, comments, data, dataset, day, day_local, dmo, erddap, identifier, local, management, month, month_local, oceanography, office, preliminary, region, sex, sighting, time, whale, whale_id, year, yrday, yrday_local";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2990";
    String param_mapping "{'2990': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2990/parameters";
    String people_0_affiliation "Massachusetts Division of Marine Fisheries";
    String people_0_person_name "Dr Daniel McKiernan";
    String people_0_person_nid "51014";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Provincetown Center for Coastal Studies";
    String people_1_affiliation_acronym "PCCS";
    String people_1_person_name "Dr Moira Brown";
    String people_1_person_nid "51013";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Provincetown Center for Coastal Studies";
    String people_2_affiliation_acronym "PCCS";
    String people_2_person_name "Dr Charles Mayo";
    String people_2_person_nid "51015";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Northeast Consortium: Cooperative Research";
    String projects_0_acronym "NEC-CoopRes";
    String projects_0_description 
"The Northeast Consortium encourages and funds cooperative research and monitoring projects in the Gulf of Maine and Georges Bank that have effective, equal partnerships among fishermen, scientists, educators, and marine resource managers.
The Northeast Consortium seeks to fund projects that will be conducted in a responsible manner. Cooperative research projects are designed to minimize any negative impacts to ecosystems or marine organisms, and be consistent with accepted ethical research practices, including the use of animals and human subjects in research, scrutiny of research protocols by an institutional board of review, etc.";
    String projects_0_geolocation "Georges Bank, Gulf of Maine";
    String projects_0_name "Northeast Consortium: Cooperative Research";
    String projects_0_project_nid "2045";
    String projects_0_project_website "http://northeastconsortium.org/";
    String projects_0_start_date "1999-01";
    String publisher_name "Nancy Copley";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "year";
    String summary "Confirmed right whale identifications in Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (Northeast Consortium Cooperative Research project).";
    String title "Confirmed right whale identifications in Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (NEC-CoopRes project)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.0-alpha";
  }
}

 

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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