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Dataset Title:  [alongtrack New Horizon 2000] - Shipboard sensor data from along the ship
track of R/V New Horizon cruises NH0005and NH0007 in the Northeast Pacific in
2000 as part of the U.S. GLOBEC program (NEP project) (U.S. GLOBEC Northeast
Pacific)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2460)
Range: longitude = -126.2055 to -122.1927°E, latitude = 37.5097 to 44.6902°N, time = 2000-05-28T13:55:12.00Z to 2000-08-12T19:30:24.00Z
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 {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "Cruise identifier.";
    String long_name "Cruiseid";
    String units "dimensionless";
  }
  ship {
    String bcodmo_name "ship";
    String description "Name of the vessel.";
    String long_name "Ship";
    String units "dimensionless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2000, 2000;
    String bcodmo_name "year";
    String description "Year of the cruise.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "4-digit year";
  }
  yrday_utc {
    Float32 _FillValue NaN;
    Float32 actual_range 149.58, 225.8128;
    String bcodmo_name "yrday_utc";
    String description "UTC yearday (noon Jan1 = 1.5)";
    String long_name "Yrday Utc";
    String units "yearday";
  }
  yrday_local {
    Float32 _FillValue NaN;
    Float32 actual_range 149.2884, 225.5212;
    String bcodmo_name "yrday_local";
    String description "local  yearday (noon Jan1 = 1.5)";
    String long_name "Yrday Local";
    String units "yearday";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 37.5097, 44.6902;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "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 -126.2055, -122.1927;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "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";
  }
  temp_ss {
    Float32 _FillValue NaN;
    Float32 actual_range 8.555, 20.801;
    String bcodmo_name "temp_ss";
    String description "temperature, primary";
    String long_name "Temp Ss";
    String units "degrees Centigrade";
  }
  temp_ss_sec {
    Float32 _FillValue NaN;
    Float32 actual_range 8.449, 20.709;
    String bcodmo_name "temp_ss";
    String description "temperature, secondary";
    String long_name "Temp Ss Sec";
    String units "degrees Centigrade";
  }
  cond {
    Float32 _FillValue NaN;
    Float32 actual_range 0.003, 53.334;
    String bcodmo_name "conductivity";
    String description "conductivity";
    String long_name "Cond";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "mmhos/cm";
  }
  sal_ss {
    Float32 _FillValue NaN;
    Float32 actual_range 0.011, 34.2744;
    String bcodmo_name "sal_ss";
    String description "salinity";
    String long_name "Sal Ss";
    String units "psu";
  }
  fluor {
    Float32 _FillValue NaN;
    Float32 actual_range -0.069, 4.905;
    String bcodmo_name "fluorescence";
    String description "relative fluorescence";
    String long_name "Fluor";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "volts";
  }
  temp_air {
    Float32 _FillValue NaN;
    Float32 actual_range 9.4, 18.4;
    String bcodmo_name "temp_air";
    String description "air temperature";
    String long_name "Temp Air";
    String units "degrees Centigrade";
  }
  humidity {
    Float32 _FillValue NaN;
    Float32 actual_range 58.0, 99.0;
    String bcodmo_name "humidity";
    String description "relative humidity";
    String long_name "Humidity";
    String units "%";
  }
  press_bar {
    Float32 _FillValue NaN;
    Float32 actual_range 1008.4, 1025.9;
    String bcodmo_name "press_bar";
    String description "barometric pressure";
    String long_name "Press Bar";
    String units "millibars";
  }
  radiation_s {
    Float32 _FillValue NaN;
    Float32 actual_range 13.0, 1242.0;
    String bcodmo_name "radiation_s";
    String description "short wave radiation";
    String long_name "Radiation S";
    String units "W/m2";
  }
  radiation_l {
    Float32 _FillValue NaN;
    Float32 actual_range 269.0, 410.0;
    String bcodmo_name "radiation_l";
    String description "long wave radiation";
    String long_name "Radiation L";
    String units "W/m2";
  }
  wind_east_c {
    Float32 _FillValue NaN;
    Float32 actual_range -7.5441, 14.747;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String description "eastward wind speed, corrected for ship motion";
    String long_name "Eastward Wind";
    String units "meters/second";
  }
  wind_north_c {
    Float32 _FillValue NaN;
    Float32 actual_range -20.2601, 17.0223;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String description "northward wind speed, corrected for ship motion";
    String long_name "Northward Wind";
    String units "meters/second";
  }
  month_gmt {
    String bcodmo_name "month_gmt";
    String description "Month, GMT.";
    String long_name "Month Gmt";
    String units "dimensionless";
  }
  day_gmt {
    String bcodmo_name "day_gmt";
    String description "Day of month (GMT).";
    String long_name "Day Gmt";
    String units "dimensionless";
  }
  time_gmt {
    String bcodmo_name "time_gmt";
    String description "Time (GMT); 24 hr clock.";
    String long_name "Time Gmt";
    String units "hours and minutes";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 9.59522112e+8, 9.66108624e+8;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time (UTC) formatted to ISO8601 standard. T indicates start of time string; Z indicates UTC.";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00.00Z";
    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 
"The data were colleted at 15 s intervals throughout the duration of each
cruise.
 
Wind data collected on board were post-processed to true winds using a
software algorithms developed by Shawn R. Smith and Mark A. Bourassa for the
WOCEMET software analysis package
([wocemet@coaps.fsu.edu](\\\\\"mailto:wocemet@coaps.fsu.edu\\\\\")). The algorithms
was implemented in a matlab function (truewind1.m; written by Hal Batchelder,
[hbatchelder@oce.orst.edu](\\\\\"mailto:hbatchelder@oce.orst.edu\\\\\")) that takes
1) direction the bow is pointing, 2) course over which the vessel is moving
(may be different from bow direction), 3) speed of vessel over the ground, 4)
wind direction referenced to the ship, zero line reference (e.g., angle
between the bow and the zero line n the anemometer), and a convention for
reporting the output (conv = 0 is meteorological; conv = 1 is oceanographic).
The function returns 1) true wind direction, referenced to the fixed earth, 2)
true wind speed, referenced to the fixed earth, and 3) apparent wind
direction.
 
Relative fluorescence and wind data were significantly noisier than most other
data types. To reduce the high-f equency noise, east wind, north wind and
relative fluorescence were filtered (averaged) over a 3 min sampling window
(12 observations), although the data are still reported here at 15 s
intervals.";
    String awards_0_award_nid "55044";
    String awards_0_award_number "unknown NEP 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 awards_1_award_nid "55077";
    String awards_1_award_number "unknown NEP NSF";
    String awards_1_funder_name "National Science Foundation";
    String awards_1_funding_acronym "NSF";
    String awards_1_funding_source_nid "350";
    String cdm_data_type "Other";
    String comment 
"Alongtrack sensor data for New Horizon Cruises in CCS; Summer 2000 
    Processed by H. Batchelder";
    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 "2009-11-29T11:14:03Z";
    String date_modified "2019-10-31T14:50:37Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.2460.1";
    Float64 Easternmost_Easting -122.1927;
    Float64 geospatial_lat_max 44.6902;
    Float64 geospatial_lat_min 37.5097;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -122.1927;
    Float64 geospatial_lon_min -126.2055;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T06:03:08Z (local files)
2024-11-08T06:03:08Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2460.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2460";
    String institution "BCO-DMO";
    String instruments_0_acronym "TSG";
    String instruments_0_dataset_instrument_description "Thermosalinograph used to obtain a continuous record of sea surface temperature and salinity.";
    String instruments_0_dataset_instrument_nid "4255";
    String instruments_0_description "A thermosalinograph (TSG) is used to obtain a continuous record of sea surface temperature and salinity.  On many research vessels the TSG is integrated into the ship's underway seawater sampling system and reported with the underway or alongtrack data.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/133/";
    String instruments_0_instrument_name "Thermosalinograph";
    String instruments_0_instrument_nid "470";
    String instruments_0_supplied_name "Thermosalinograph";
    String keywords "air, altimetry, atmosphere, atmospheric, bar, bco, bco-dmo, biological, chemical, cond, cruiseid, data, dataset, date, day, day_gmt, dmo, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, eastward, eastward_wind, erddap, fluor, humidity, iso, laboratory, latitude, local, longitude, management, month, month_gmt, northward, northward_wind, oceanography, office, preliminary, press, press_bar, radiation, radiation_l, radiation_s, sal, sal_ss, satellite, science, sec, ship, surface, temp_air, temp_ss, temp_ss_sec, temperature, time, time_gmt, wind, wind_east_c, wind_north_c, winds, year, yrday, yrday_local, yrday_utc";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/2460/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2460";
    Float64 Northernmost_Northing 44.6902;
    String param_mapping "{'2460': {'lat': 'master - latitude', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2460/parameters";
    String people_0_affiliation "Oregon State University";
    String people_0_affiliation_acronym "OSU-CEOAS";
    String people_0_person_name "Hal Batchelder";
    String people_0_person_nid "50383";
    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 "Ms Dicky Allison";
    String people_1_person_nid "50382";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "NEP";
    String projects_0_acronym "NEP";
    String projects_0_description 
"Program in a Nutshell
Goal:  To understand the effects of climate variability and climate change on the distribution, abundance and production of marine animals (including commercially important living marine resources) in the eastern North Pacific. To embody this understanding in diagnostic and prognostic ecosystem models, capable of capturing the ecosystem response to major climatic fluctuations.
Approach: To study the effects of past and present climate variability on the population ecology and population dynamics of marine biota and living marine resources, and to use this information as a proxy for how the ecosystems of the eastern North Pacific may respond to future global climate change. The strong temporal variability in the physical and biological signals of the NEP will be used to examine the biophysical mechanisms through which zooplankton and salmon populations respond to physical forcing and biological interactions in the coastal regions of the two gyres. Annual and interannual variability will be studied directly through long-term observations and detailed process studies; variability at longer time scales will be examined through retrospective analysis of directly measured and proxy data. Coupled biophysical models of the ecosystems of these regions will be developed and tested using the process studies and data collected from the long-term observation programs, then further tested and improved by hindcasting selected retrospective data series.";
    String projects_0_geolocation "Northeast Pacific Ocean, Gulf of Alaska";
    String projects_0_name "U.S. GLOBEC Northeast Pacific";
    String projects_0_project_nid "2038";
    String projects_0_project_website "http://nepglobec.bco-dmo.org";
    String projects_0_start_date "1997-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.5097;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "ship,year";
    String summary "Shipboard sensor data from along the ship track of R/V New Horizon cruises NH0005and NH0007 in the Northeast Pacific in 2000 as part of the U.S. GLOBEC program.";
    String time_coverage_end "2000-08-12T19:30:24.00Z";
    String time_coverage_start "2000-05-28T13:55:12.00Z";
    String title "[alongtrack New Horizon 2000] - Shipboard sensor data from along the ship track of R/V New Horizon cruises NH0005and NH0007 in the Northeast Pacific in 2000 as part of the U.S. GLOBEC program (NEP project) (U.S. GLOBEC Northeast Pacific)";
    String version "1";
    Float64 Westernmost_Easting -126.2055;
    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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