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Dataset Title:  [Meteorological Data] - Meteorological data from the Tudor Hill Marine
Atmospheric Observatory, Bermuda in 2017, 2019, 2020, 2021 and 2022 (Operation
of a Community Marine-Atmospheric Sampling Facility at Tudor Hill, Bermuda)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_731478_v2)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
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    [The graph you specified. Please be patient.]

 

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 {
  TIMESTAMP {
    String long_name "Timestamp";
    String units "untiless";
  }
  RECORD {
    Int32 actual_range 0, 1942719;
    String long_name "Record";
    String units "unitless";
  }
  Mean_WS {
    Float32 actual_range 0.0, 29.06843;
    String long_name "Mean_ws";
    String units "meters per second (m/s)";
  }
  ResultantMean_WS {
    String long_name "Resultantmean_ws";
    String units "meters per second (m/s)";
  }
  ResultantMean_WD {
    String long_name "Resultantmean_wd";
    String units "degrees";
  }
  StdDev_WD {
    Float32 actual_range 0.0, 80.6;
    String long_name "Stddev_wd";
    String units "degrees";
  }
  SonicU {
    String long_name "Sonicu";
    String units "meter per second (m/sec)";
  }
  SonicV {
    String long_name "Sonicv";
    String units "meter per second (m/sec)";
  }
  SonicW {
    String long_name "Sonicw";
    String units "meter per second (m/sec)";
  }
  SonicTemp_C {
    String long_name "Sonictemp_c";
    String units "degrees Celsius";
  }
  batt_volt_Min {
    Float32 actual_range 8.62, 16.23;
    String long_name "Batt_volt_min";
    String units "volts direct current (VDC)";
  }
  Rain_Tot {
    Float32 actual_range 0.0, 5.4;
    String long_name "Rain_tot";
    String units "millimeters (mm)";
  }
  AirTempC_Avg {
    Float32 actual_range -75.91847, 262.5146;
    String long_name "Airtempc_avg";
    String units "degrees Celsius";
  }
  RH_Avg {
    Float32 actual_range -46.79638, 302.1687;
    String long_name "Rh_avg";
    String units "percent (%)";
  }
  BP_mmHg_Avg {
    Float32 actual_range 375.0269, 853.8306;
    String long_name "Bp_mmhg_avg";
    String units "millimeters of mercury (mmHg)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.731478.2";
    String history 
"2024-09-19T22:13:19Z (local files)
2024-09-19T22:13:19Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_731478_v2.das";
    String infoUrl "https://www.bco-dmo.org/dataset/731478";
    String institution "BCO-DMO";
    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 sourceUrl "(local files)";
    String summary 
"The BIOS Tudor Hill Marine Atmospheric Observatory (THMAO) has been supported by the NSF Chemical Oceanography and Atmospheric Chemistry Programs following a major refit in 2003. Since that time it has provided a unique research facility for the scientific community. The specific objectives are:

1) To operate and maintain a state-of-the-art marine atmospheric sampling and observing facility at Tudor Hill, Bermuda, available for use by the wider U.S. and international research community;
2) To continue the collection of continuous meteorological data and weekly bulk-aerosol and rainwater samples, which will be archived at BIOS and made freely available to other researchers;
3) To collect additional atmospheric samples and data for other investigators (primarily in longer-term time-series programs), and to provide for the use of the facility in person by other investigators (primarily in shorter-term intensive programs).";
    String title "[Meteorological Data] - Meteorological data from the Tudor Hill Marine Atmospheric Observatory, Bermuda in 2017, 2019, 2020, 2021 and 2022 (Operation of a Community Marine-Atmospheric Sampling Facility at Tudor Hill, Bermuda)";
  }
}

 

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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