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Dataset Title:  GLOBEC NEP Northern California Current Bird Data NH0005, 2000-2000, 0007 Subscribe RSS
Institution:  GLOBEC   (Dataset ID: erdGlobecBirds)
Range: longitude = -126.132 to -124.03°E, latitude = 41.87 to 44.675°N, time = 2000-05-30T00:00:00Z to 2000-08-12T00:00:00Z
Information:  Summary ? | License ? | FGDC | 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 {
  trans_no {
    Int16 _FillValue 32767;
    Int16 actual_range 11603, 22508;
    String cf_role "trajectory_id";
    Float64 colorBarMaximum 24000.0;
    Float64 colorBarMinimum 10000.0;
    String ioos_category "Identifier";
    String long_name "Transect Number";
    Int16 missing_value 32767;
  }
  trans_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 8388607, 8388607;
    Float64 colorBarMaximum 1.0e+7;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Identifier";
    String long_name "ID Number for a Location on the Transect";
    Int32 missing_value 2147483647;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range -126.132, -124.03;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Float32 missing_value NaN;
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range 41.87, 44.675;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    Float32 missing_value NaN;
    String standard_name "latitude";
    String units "degrees_north";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 9.596448e+8, 9.660384e+8;
    String axis "T";
    Float64 colorBarMaximum 9.660384e+8;
    Float64 colorBarMinimum 9.596448e+8;
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  area {
    Float32 _FillValue -9999999.0;
    Float32 actual_range 0.3, 1.9;
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Other";
    String long_name "Ocean Area Surveyed in the Transect";
    Float32 missing_value -9999999.0;
    String units "km2";
  }
  behav_code {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    Float64 colorBarMaximum 3.0;
    Float64 colorBarMinimum 0.0;
    String comment 
"Code    Description
------  --------------------
1       Flying directionally
2       Sitting on water
3       Feeding";
    String ioos_category "Biology";
    String long_name "Behavior Code";
    Byte missing_value 127;
  }
  flight_dir {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 360;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String comment "to nearest 10 degrees";
    String ioos_category "Biology";
    String long_name "Flight Direction";
    Int16 missing_value 400;
    String units "degrees_true";
  }
  head_c {
    Int16 _FillValue 32767;
    Int16 actual_range 10, 360;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String comment "to nearest 10 degrees";
    String ioos_category "Location";
    String long_name "Ship Course";
    Int16 missing_value 32767;
    String units "degrees_true";
  }
  number {
    Byte _FillValue 127;
    Byte actual_range 1, 125;
    Float64 colorBarMaximum 125.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Biology";
    String long_name "Unadjusted Number of Birds Recorded";
    Byte missing_value 127;
    String units "count";
  }
  number_adj {
    Float32 _FillValue -9999999.0;
    Float32 actual_range 0.052, 1350.0;
    Float64 colorBarMaximum 1400.0;
    Float64 colorBarMinimum 0.0;
    String comment "Number of birds recorded after adjustment for the effect of bird movement relative to that of the ship (flux).";
    String ioos_category "Biology";
    String long_name "Adjusted Number of Birds Recorded";
    Float32 missing_value -9999999.0;
    String units "count";
  }
  species {
    String comment 
"Species Code    Description
------------    --------------------
AKCA            Cassin's Auklet
AKPA            Parakeet Auklet
AKRH            Rhinoceros Auklet
ALBF            Black-footed Albatross
ALLA            Laysan Albatross
COBR            Brandt's Cormorant
COPE            Pelagic Cormorant
FUNO            Northern Fulmar
GUCA            California Gull
GUGW            Glaucous-winged Gull
GUHR            Heermann's Gull
GUPI            Pigeon Guillemot
GURB            Ring-bill Gull
GUSA            Sabine's Gull
GUWE            Western Gull
JALT            Long-tailed Jaeger
JAPA            Parasitic Jaeger
JAPO            Pomarine Jaeger
LOAR            Pacific Loon
LOCO            Common Loon
MUCO            Common Murre
MUMA            Marbled Murrelet
MUXA            Xantus' Murrelet
PELB            Brown Pelican
PHNO            Red-necked Phalarope
PHRE            Red Phalarope
SHFF            Flesh-footed Shearwater
SHPF            Pink-footed Shearwater
SHSO            Sooty Shearwater
SKMA            South Polar Skua
STFT            Fork-tailed Storm-Petrel
STLE            Leach's Storm-Petrel
TEAR            Arctic Tern";
    String ioos_category "Biology";
    String long_name "Species";
  }
  wspd {
    Int16 _FillValue -9999;
    Int16 actual_range 0, 35;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String comment "Caution. Wind speed and direction may not be corrected for ship motion.";
    String ioos_category "Wind";
    String long_name "Wind Speed";
    Int16 missing_value 32767;
    String units "knots";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Trajectory";
    String cdm_trajectory_variables "trans_id";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting -124.03;
    String featureType "Trajectory";
    Float64 geospatial_lat_max 44.675;
    Float64 geospatial_lat_min 41.87;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -124.03;
    Float64 geospatial_lon_min -126.132;
    String geospatial_lon_units "degrees_east";
    String history 
"2018-04-24T04:39:55Z (local files; contact erd.data@noaa.gov)
2018-04-24T04:39:55Z http://coastwatch.pfeg.noaa.gov/tabledap/erdGlobecBirds.das";
    String id "Globec_birds";
    String infoUrl "http://www.globec.org/";
    String institution "GLOBEC";
    String keywords "animals, aquatic, area, atmosphere, atmospheric, behavior, biological, biology, biosphere, bird, birds, california, classification, coastal, code, course, current, data, direction, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Biological Classification > Animals/Vertebrates > Birds, Earth Science > Biosphere > Aquatic Ecosystems > Coastal Habitat, Earth Science > Biosphere > Aquatic Ecosystems > Marine Habitat, ecosystems, flight, globec, habitat, identifier, marine, nep, nh0005, northern, number, ocean, recorded, ship, species, speed, surface, surveyed, time, transect, unadjusted, vertebrates, wind, wind_speed, winds";
    String keywords_vocabulary "GCMD Science Keywords";
    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 naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 44.675;
    String references 
"David G. Ainley, Larry B. Spear, Cynthia T. Tynan, John A. Barth, Stephen D. Pierce, R. Glenn Ford and Timothy J. Cowles, 2005. Physical and biological variables affecting seabird distributions during the upwelling season of the northern California Current. Deep Sea Research Part II: Topical Studies in Oceanography, Volume 52, Issues 1-2, January 2005, Pages 123-143

L.B. Spear, N. Nur & D.G. Ainley. 1992. Estimating absolute densities of flying seabirds using analyses of relative movement.  Auk 109:385-389.

L.B. Spear & D.G. Ainley. 1997. Flight behaviour of seabirds in relation to wind direction and wing morphology.  Ibis 139: 221-233.

L.B. Spear & D.G. Ainley.  1997. Flight speed of seabirds in relation to wind speed and direction. Ibis 139: 234-251.

L.B. Spear, D.G. Ainley, B.D. Hardesty, S.N.G. Howell & S.G. Webb. 2004. Reducing biases affecting at-sea surveys of seabirds: use of multiple observer teams. Marine Ornithology 32: 147?157.";
    String sourceUrl "(local files; contact erd.data@noaa.gov)";
    Float64 Southernmost_Northing 41.87;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "trans_id, trans_no, longitude, latitude, time, species, behav_code";
    String summary 
"GLOBEC (GLOBal Ocean ECosystems Dynamics) NEP (Northeast Pacific)
Northern California Current Bird Data from R/V New Horizon cruises NH0005 and 0007.

As a part of the GLOBEC-Northeast Pacific project, we investigated variation in the abundance of marine birds in the context of biological and physical habitat conditions in the northern portion of the California Current System (CCS) during cruises during the upwelling season 2000. Continuous surveys of seabirds were conducted simultaneously in June (onset of upwelling) and August (mature phase of upwelling).

Seabird surveys were conducted continuously during daylight, using a 300-m-wide transect strip. Within that strip, birds were counted that occurred within the 90 degree quadrant off the ship's bow that offered the best observation conditions.

Observed counts of seabirds recorded as flying in a steady direction were adjusted for the effect of flight speed and direction relative to that of the ship (Spear et al., 1992; Spear and Ainley, 1997b). The effect of such flux is the most serious bias encountered during seabird surveys at sea (Spear et al., 2005). Known as random directional movement (as opposed to nonrandom directional movement, which occurs when birds are attracted or repelled from the survey vessel), this problem usually results in density overestimation because most species fly faster than survey vessels; densities of birds that fly slower or at a similar speed as the survey vessel (e.g., storm-petrels), or are flying in the same direction, are usually underestimated (Spear et al., 1992)

(extracted from: David G. Ainley, Larry B. Spear, Cynthia T. Tynan, John A. Barth, Stephen D. Pierce, R. Glenn Ford and Timothy J. Cowles, 2005. Physical and biological variables affecting seabird distributions during the upwelling season of the northern California Current. Deep Sea Research Part II: Topical Studies in Oceanography, Volume 52, Issues 1-2, January 2005, Pages 123-143)

For more information, see
http://cis.whoi.edu/science/bcodmo/dataset.cfm?id=10053&flag=view
or
http://globec.whoi.edu/jg/info/globec/nep/ccs/birds%7Bdir=globec.whoi.edu/jg/dir/globec/nep/ccs/,data=globec.whoi.edu/jg/serv/globec/nep/ccs/birds.html0%7D

Contact:
Cynthia T. Tynan, ctynan@whoi.edu, Woods Hole Oceanographic Institution
David G. Ainley, dainley@penguinscience.com, H.T. Harvey & Associates";
    String time_coverage_end "2000-08-12T00:00:00Z";
    String time_coverage_start "2000-05-30T00:00:00Z";
    String title "GLOBEC NEP Northern California Current Bird Data NH0005, 2000-2000, 0007";
    Float64 Westernmost_Easting -126.132;
  }
}

 

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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