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Dataset Title:  TAO155W NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series Subscribe RSS
Institution:  NOAA/PMEL Carbon Program   (Dataset ID: pmel_co2_moorings_bf98_0a93_1a18)
Range: longitude = 155.0 to 155.0°E, latitude = 0.0 to 0.0°N, time = 2010-01-13T22:58:00Z to 2021-09-25T06:17:00Z
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 {
  station_id {
    String cf_role "timeseries_id";
    String long_name "Station ID";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 155.0, 155.0;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 0.0, 0.0;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.26342348e+9, 1.63255062e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime UTC";
    String source_name "datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01 00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  SST {
    Float32 _FillValue NaN;
    Float32 actual_range 23.634, 31.392;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Sea Surface Temperature";
    Float32 missing_value NaN;
    String sensor_depth "0.5m";
    String standard_name "sea_surface_temperature";
    String uncertainty "0.01";
    String units "deg C";
  }
  SSS {
    Float32 _FillValue NaN;
    Float32 actual_range 33.25, 35.861;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Sea Surface Salinity";
    Float32 missing_value NaN;
    String sensor_depth "0.5m";
    String standard_name "sea_water_practical_salinity";
    String uncertainty "0.05";
    String units "PSU";
  }
  pCO2_sw {
    Float32 _FillValue NaN;
    Float32 actual_range 362.8, 606.3;
    String long_name "Partial Pressure of CO2 in Sea Water";
    Float32 missing_value NaN;
    String sensor_depth "0.5m";
    String uncertainty "2";
    String units "uatm";
  }
  pCO2_air {
    Float32 _FillValue NaN;
    Float32 actual_range 366.5, 398.3;
    String long_name "PCO2 Air";
    Float32 missing_value NaN;
    String sensor_depth "0.5m-1.0m";
    String uncertainty "1";
    String units "uatm";
  }
  xCO2_air {
    Float32 _FillValue NaN;
    Float32 actual_range 380.8, 414.4;
    String long_name "XCO2 Air";
    Float32 missing_value NaN;
    String sensor_depth "0.5m-1.0m";
    String uncertainty "<1";
    String units "ppm";
  }
  pH_sw {
    Float32 _FillValue NaN;
    String long_name "Sea Water pH";
    Float32 missing_value NaN;
    String sensor_depth "0.5m";
    String uncertainty "0.02";
  }
  DOXY {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "salinity_compensated dissolved oxygen (µmol kg-1)";
    Float32 missing_value NaN;
    String sensor_depth "0.5m";
    String standard_name "sea_water_practical_salinity";
    String uncertainty "manufacturer-stated uncertainty <5%";
    String units "PSU";
  }
  CHL {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum -0.1;
    String long_name "fluorescence-based nighttime chlorophyll-a (µg l-1) adjusted with the community-established calibration bias of 2 (https://doi.org/10.1002/lom3.10185)";
    Float32 missing_value NaN;
    String sensor_depth "0.5m";
    String uncertainty "manufacturer-stated resolution <0.025";
    String units "ug/l";
  }
  NTU {
    Float32 _FillValue NaN;
    String long_name "Turbidity (NTU)";
    Float32 missing_value NaN;
    String sensor_depth "0.5m";
    String uncertainty "manufacturer-stated resolution <0.013";
    String units "ntu";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, NCCSV-1.0";
    String creator_email "adrienne.sutton (at) noaa.gov";
    String creator_name "Dr. Adrienne Sutton";
    String creator_type "person";
    String creator_url "https://www.pmel.noaa.gov/co2/";
    String dataset_citation "Sutton, A. J., Feely, R. A., Maenner-Jones, S., Musielwicz, S., Osborne, J., Dietrich, C., Monacci, N., Cross, J.,Bott, R., Kozyr, A., Andersson, A. J., Bates, N. R., Cai, W.-J., Cronin, M. F., De Carlo, E. H., Hales, B., Howden, S. D., Lee, C. M., Manzello, D. P., McPhaden, M. J., Mel00e9ndez, M., Mickett, J. B., Newton, J. A., Noakes, S. E., Noh, J. H., Olafsdottir, S. R., Salisbury, J. E., Send, U., Trull, T. W., Vandemark, D. C., and Weller, R. A. (2019): Autonomous seawater pCO2 and pH time series from 40 surface buoys and the emergence of anthropogenic trends, Earth Syst. Sci. Data,11, 421-439, https://doi.org/10.5194/essd-11-421-2019.";
    Float64 Easternmost_Easting 155.0;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 0.0;
    Float64 geospatial_lat_min 0.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 155.0;
    Float64 geospatial_lon_min 155.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2023-01-27T00:51:27Z (local files)
2023-01-27T00:51:27Z https://data.pmel.noaa.gov/pmel/tabledap/pmel_co2_moorings_bf98_0a93_1a18.das";
    String infoUrl "https://www.pmel.noaa.gov/co2/story/TAO+0°%2C+155°W";
    String institution "NOAA/PMEL Carbon Program";
    String keywords "acidification, adjusted, air, based, bias, calibration, carbon, carbon dioxide, CHL, chl-a, chlorophyl, chlorophyll, chlorophyll-a, co2, community, community-established, compensated, data, datetime, density, dioxide, dissolved, dissolved oxygen, DOXY, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Salinity/Density > Salinity, environmental, established, fluorescence, fluorescence-based, kg-1, l-1, laboratory, latitude, local, longitude, marine, mooring, nephelometric, night, nighttime, noaa, noaa/pmel, ntu, O2, ocean, oceans, oxygen, pacific, partial, pco2, pco2_air, pco2_sw, ph_sw, pmel, practical, pressure, program, salinity, salinity/density, science, sea, sea_surface_temperature, sea_water_practical_salinity, seawater, series, source, sss, sst, station, station_id, surface, tao155w, temperature, time, time series, turbidity, units, water, with, xco2, xco2_air, \\u00b5mol";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data are made freely available to the public and the scientific community in the belief that their wide dissemination will lead to greater understanding and new scientific insights. NOAA relies on the ethics and integrity of the user to ensure that PMEL receives fair credit for their work. If the data are  obtained for potential use in a publication or presentation, PMEL should be informed at the outset of the nature of this work. If the PMEL data are essential to the work, or if an important result or conclusion depends on the PMEL data, co-authorship may be appropriate. This should be discussed at an early stage in the work. Manuscripts using the PMEL data should be sent to PMEL for review before they are submitted for publication so we can ensure that the quality and limitations of the data are accurately represented.";
    String metadata_link "https://www.nodc.noaa.gov/ocads/data/0100084.xml,https://www.nodc.noaa.gov/ocads/oceans/Moorings/TAO155W.html";
    Float64 Northernmost_Northing 0.0;
    String references "https://doi.org/10.5194/essd-11-421-2019,https://doi.org/10.5194/essd-6-353-2014";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 0.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables 
"station_id
longitude
latitude";
    String summary "Observations from NOAA's Moored Surface Ocean CO2 Flux and Ocean Acidification Observing Network. Supported by the NOAA Ocean Observing and Monitoring Division, the NOAA Ocean Acidification Program, and over twenty other partners and programs.";
    String time_coverage_end "2021-09-25T06:17:00Z";
    String time_coverage_start "2010-01-13T22:58:00Z";
    String title "TAO155W NOAA Surface Ocean CO2 and Ocean Acidification Mooring Time Series";
    Float64 Westernmost_Easting 155.0;
  }
}

 

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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