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Dataset Title:	PMEL Atmospheric Chemistry NAAMES-4 Aerosol Size Distribution data
Institution:	NOAA (Dataset ID: ACG_NAAMES-4_Atlantis_aerosol_sizedist)
Range:	longitude = -66.14353 to -38.223732°E, latitude = 18.457216 to 44.656597°N, altitude = 18.0 to 18.0m, time = 2018-03-20T13:00:00Z to 2018-04-11T12:30:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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Things You Can Do With Your Graphs

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Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5215508e+9, 1.5234498e+9;
    String axis "T";
    String comment "Start of sampling period";
    String coords "time";
    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 "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  diameter {
    Float64 actual_range 0.005, 10.0;
    String coords "diameter";
    String ioos_category "Unknown";
    String long_name "midpoint Diameter(Stokes)";
    String units "micrometers";
  }
  trajectory_id {
    String cf_role "trajectory_id";
    String coords "time";
    String ioos_category "Identifier";
    String long_name "Trajectory ID";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 18.457217, 44.656598;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String coords "time";
    String instrument "GPS";
    String ioos_category "Location";
    String long_name "Latitude";
    String source "surface observation";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -66.143532, -38.223732;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String coords "time";
    String instrument "GPS";
    String ioos_category "Location";
    String long_name "Longitude";
    String source "surface observation";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 actual_range 18.0, 18.0;
    String axis "Z";
    Float64 colorBarMinimum 0.0;
    String coords "time";
    String ioos_category "Location";
    String long_name "height above mean sea level";
    String positive "up";
    String standard_name "altitude";
    String units "m";
    Float64 valid_min 0.0;
  }
  dNdlogDp {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 3982.968994;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String coords "time diameter";
    String ioos_category "Statistics";
    String long_name "Normalized particle number size distribution (Log-normal)";
    String source "surface observation";
    String units "micrometer-1 cm-3";
    Float64 valid_min 0.0;
  }
  dlogDp {
    Float64 actual_range 0.029998964837642673, 0.03384682094508542;
    String coords "time diameter";
    String ioos_category "Unknown";
    String long_name "diameter bin width";
    String source "surface observation";
    String units "micrometer";
  }
  dN {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 129.32861022976866;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String coords "time diameter";
    String ioos_category "Statistics";
    String long_name "Particle number size distribution";
    String source "surface observation";
    String units "cm-3";
    Float64 valid_min 0.0;
  }
  dSdlogDp {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 164.9036765676537;
    Float64 colorBarMinimum 0.0;
    String coords "time diameter";
    String ioos_category "Unknown";
    String long_name "Normalized particle surface area distribution (Log-normal)";
    String source "surface observation";
    String units "micrometer2 micrometer-1 cm-3";
    Float64 valid_min 0.0;
  }
  dS {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 5.235761827803665;
    Float64 colorBarMinimum 0.0;
    String coords "time diameter";
    String ioos_category "Unknown";
    String long_name "Particle surface area size distribution";
    String source "surface observation";
    String units "micrometer2 cm-3";
    Float64 valid_min 0.0;
  }
  dVdlogDp {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 26.998347055674124;
    Float64 colorBarMinimum 0.0;
    String coords "time diameter";
    String ioos_category "Unknown";
    String long_name "Normalized Particle volume distribution (Log-normal)";
    String source "surface observation";
    String units "micrometer3 micrometer-1 cm-3";
    Float64 valid_min 0.0;
  }
  dV {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.8567976374104079;
    Float64 colorBarMinimum 0.0;
    String coords "time diameter";
    String ioos_category "Unknown";
    String long_name "Particle volume size distribution";
    String source "surface observation";
    String units "micrometer3 cm-3";
    Float64 valid_min 0.0;
  }
  intN {
    Float64 actual_range 0.0, 1450.0441878883048;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String coords "time";
    String ioos_category "Statistics";
    String long_name "Integral Number Concentration";
    String source "surface observation";
    String units "cm-3";
    Float64 valid_min 0.0;
  }
  intS {
    Float64 actual_range 0.0, 137.53770652768657;
    Float64 colorBarMinimum 0.0;
    String coords "time";
    String ioos_category "Unknown";
    String long_name "Integral Surface Area Concentration";
    String source "surface observation";
    String units "micrometer2 cm-3";
    Float64 valid_min 0.0;
  }
  intV {
    Float64 actual_range 0.0, 19.91339741345469;
    Float64 colorBarMinimum 0.0;
    String coords "time";
    String ioos_category "Unknown";
    String long_name "Integral Volume Concentration";
    String source "surface observation";
    String units "micrometer3 cm-3";
    Float64 valid_min 0.0;
  }
  duration {
    Int32 _FillValue 2147483647;
    Int32 actual_range 300, 300;
    String coords "time";
    String ioos_category "Time";
    String long_name "Duration";
    String units "second";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Trajectory";
    String cdm_trajectory_variables "trajectory_id";
    String comment 
"PMEL Size Distributions
    
    Aerosol inlet:
Ambient aerosol particles were sampled at 18 m above sea level through a heated mast. The mast extended 5 m above and forward of the aerosol measurement container. The inlet was a rotating cone-shaped nozzle that was automatically positioned into the relative wind to maintain nominally isokinetic flow and minimize the loss of supermicrometer particles. Air entered the inlet through a 5 cm diameter hole, passed through a 7 degree expansion cone, and then into the 20 cm inner diameter sampling mast. The flow through the mast was 1 m3 min-1. The transmission efficiency of the inlet for particles with aerodynamic diameters less than 6.5 um (the largest size tested) is greater than 95% [Bates et al., 2002].

The bottom 1.5 m of the mast were heated to establish a stable reference relative humidity (RH) for the sample air controlled to the indicated target sample RH. Twenty one 1.6 cm inner diameter stainless steel tubes extending into the heated portion of the mast were connected to downstream aerosol instrumentation with either conductive silicon tubing or stainless steel tubing for analysis of organic aerosol.

DMPS (datasets denoted by _aerosol_sizedist_dmps_):
One of the twenty one 1.6 cm diameter tubes was used to supply ambient air to a tandem DMPS system that measured particle size distributions in the range of 0.020 to 0.8 micrometers Stokes diameter. The tandem DMPS consists of an \"Aitken\" DMPS (0.020 to 0.2 um) and an \"Accumulation\" DMPS (0.2 to 0.8 um). The distributions have been cleaned of all data from times of instrument malfunction or calibration.

APS (datasets denoted by _aerosol_sizedist_aps_):
One of the twenty one 1.6 cm diameter tubes was used to supply ambient air to an APS that measured particle size distributions in the range of 0.96 to 10 micrometers Stokes diameter. The APS diameters are aerodynamic and have not been corrected to Stokes diameter via calculation or estimates of particle density. The APS data larger than 10 micrometers are not useful due to significant particle losses in the inlets including the ship's sampling mast, distribution tubing and APS inlet. The distributions have been cleaned of all data from times of instrument malfunction or calibration.

Merged (datasets denoted by _aerosol_sizedist):
These datasets include particle size distributions in the diameter range of 0.005 to 10 micrometers Stokes diameter. The distributions are a combination of DMPS and APS size distribution data where the APS diameters have been converted to Stokes diameters using densities calculated from measured chemistry. The diameter channels in the overlap region were chosen in the following manner: the last DMPS channel was discarded and, after converting to Stokes diameters, the first APS diameter channel that was larger than the last valid DMPS channel was chosen as the first APS channel. Each combined distribution was regridded onto a common set of diameters. Finally, the regridded distributions were cleaned to eliminate values at the larger sizes from the APS where “phantom” counts resulted in a spurious coarse mode in the surface and volume distributions.

All datasets include number size distributions (normalized and non-normalized) as well as the higher moments for each: surface area and volume.

Additional datasets may be included for a give project that include:
 - ambient (_ambient_): includes size distributions shifted to ambient RH using gRH factors
 - filter (_filter_): includes size distributions where additional cleaning was performed for periods of unstable CN concentrations";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, NCCSV-1.0";
    String creator_email "derek.coffman@noaa.gov";
    String creator_name "Coffman, Derek";
    String creator_url "https://www.pmel.noaa.gov/";
    String dimensions "time=6331 diameter=105";
    Float64 Easternmost_Easting -38.223732;
    String featureType "Trajectory";
    Float64 geospatial_lat_max 44.656598;
    Float64 geospatial_lat_min 18.457217;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -38.223732;
    Float64 geospatial_lon_min -66.143532;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 18.0;
    Float64 geospatial_vertical_min 18.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"2025-05-09T21:32:17Z (local files)
2025-05-09T21:32:17Z https://data.pmel.noaa.gov/pmel/tabledap/ACG_NAAMES-4_Atlantis_aerosol_sizedist.das";
    String infoUrl "https://www.pmel.noaa.gov/acg/data/index.html";
    String institution "NOAA";
    String keywords "above, aerosol, altitude, area, atmosphere, atmospheric, bin, chemistry, concentration, data, datetime, diameter, distribution, dlogDp, dNdlogDp, dSdlogDp, duration, dVdlogDp, earth, Earth Science > Atmosphere > Altitude > Station Height, environmental, height, identifier, integral, intN, intS, intV, laboratory, latitude, level, log, log-normal, longitude, marine, mean, midpoint, naames, naames-4, noaa, normal, normalized, number, pacific, particle, pmel, science, sea, size, station, statistics, stokes, surface, time, trajectory, trajectory_id, volume, width";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data were produced by NOAA and are not subject to copyright protection in the United States. NOAA waives any potential copyright and related rights in these data worldwide through the Creative Commons Zero 1.0 Universal Public Domain Dedication (CC0-1.0).";
    Float64 Northernmost_Northing 44.656598;
    String platform "Atlantis";
    String product_version "0";
    String project "NAAMES-4";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 18.457217;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "trajectory_id, altitude, duration";
    String summary 
"Pacific Marine Environmental Laboratory (PMEL) Size Distributions
    
    Aerosol inlet:
Ambient aerosol particles were sampled at 18 m above sea level through a heated mast. The mast extended 5 m above and forward of the aerosol measurement container. The inlet was a rotating cone-shaped nozzle that was automatically positioned into the relative wind to maintain nominally isokinetic flow and minimize the loss of supermicrometer particles. Air entered the inlet through a 5 cm diameter hole, passed through a 7 degree expansion cone, and then into the 20 cm inner diameter sampling mast. The flow through the mast was 1 m3 min-1. The transmission efficiency of the inlet for particles with aerodynamic diameters less than 6.5 um (the largest size tested) is greater than 95% [Bates et al., 2002].

The bottom 1.5 m of the mast were heated to establish a stable reference relative humidity (RH) for the sample air controlled to the indicated target sample RH. Twenty one 1.6 cm inner diameter stainless steel tubes extending into the heated portion of the mast were connected to downstream aerosol instrumentation with either conductive silicon tubing or stainless steel tubing for analysis of organic aerosol.

DMPS (datasets denoted by _aerosol_sizedist_dmps_):
One of the twenty one 1.6 cm diameter tubes was used to supply ambient air to a tandem DMPS system that measured particle size distributions in the range of 0.020 to 0.8 micrometers Stokes diameter. The tandem DMPS consists of an \"Aitken\" DMPS (0.020 to 0.2 um) and an \"Accumulation\" DMPS (0.2 to 0.8 um). The distributions have been cleaned of all data from times of instrument malfunction or calibration.

APS (datasets denoted by _aerosol_sizedist_aps_):
One of the twenty one 1.6 cm diameter tubes was used to supply ambient air to an APS that measured particle size distributions in the range of 0.96 to 10 micrometers Stokes diameter. The APS diameters are aerodynamic and have not been corrected to Stokes diameter via calculation or estimates of particle density. The APS data larger than 10 micrometers are not useful due to significant particle losses in the inlets including the ship's sampling mast, distribution tubing and APS inlet. The distributions have been cleaned of all data from times of instrument malfunction or calibration.

Merged (datasets denoted by _aerosol_sizedist):
These datasets include particle size distributions in the diameter range of 0.005 to 10 micrometers Stokes diameter. The distributions are a combination of DMPS and APS size distribution data where the APS diameters have been converted to Stokes diameters using densities calculated from measured chemistry. The diameter channels in the overlap region were chosen in the following manner: the last DMPS channel was discarded and, after converting to Stokes diameters, the first APS diameter channel that was larger than the last valid DMPS channel was chosen as the first APS channel. Each combined distribution was regridded onto a common set of diameters. Finally, the regridded distributions were cleaned to eliminate values at the larger sizes from the APS where \"phantom\" counts resulted in a spurious coarse mode in the surface and volume distributions.

All datasets include number size distributions (normalized and non-normalized) as well as the higher moments for each: surface area and volume.

Additional datasets may be included for a give project that include:
 - ambient (_ambient_): includes size distributions shifted to ambient RH using gRH factors
 - filter (_filter_): includes size distributions where additional cleaning was performed for periods of unstable CN concentrations";
    String time_coverage_end "2018-04-11T12:30:00Z";
    String time_coverage_start "2018-03-20T13:00:00Z";
    String title "PMEL Atmospheric Chemistry NAAMES-4 Aerosol Size Distribution data";
    Float64 Westernmost_Easting -66.143532;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.