ERDDAP > tabledap > Data Access Form

Dataset Title:	Data produced by Stream Engine version 1.20.2 for CP01CNSM-RID26-08-SPKIRB000- telemetered-spkir_abj_dcl_instrument
Institution:	Ocean Observatories Initiative   (Dataset ID: CP01CNSM-RID26-08-SPKIRB000-spkir_abj_dcl_instrument-telemetered-deployment0001)
Information:	Summary | License | Metadata | Background | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
obs	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1008776
instrument_id (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
dcl_controller_timestamp	!= =~ <= >= = < >		!= =~ <= >= = < >
internal_temperature (counts)	!= =~ <= >= = < >		!= =~ <= >= = < >		127	138
driver_timestamp (Driver Timestamp, UTC, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2021-06-01T21:03:00Z	2021-06-01T21:03:00Z
id	!= =~ <= >= = < >		!= =~ <= >= = < >
spkir_abj_cspp_downwelling_vector (uW cm-2 nm-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.0142111	57.47291
provenance	!= =~ <= >= = < >		!= =~ <= >= = < >
passed_checksum (Checksum Result, 1)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
internal_timestamp (Internal Timestamp, UTC, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		1900-01-01T00:00:00Z	1900-01-01T00:00:00Z
serial_number (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
frame_counter (counts)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	124
vin_sense (counts)	!= =~ <= >= = < >		!= =~ <= >= = < >		272	296
ingestion_timestamp (Ingestion Timestamp, UTC, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2021-06-01T21:03:00Z	2021-06-01T21:03:00Z
port_timestamp (Port Timestamp, UTC, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2013-11-21T18:14:20Z	2013-12-24T06:02:40Z
sample_delay (ms)	!= =~ <= >= = < >		!= =~ <= >= = < >		-133	-133
deployment	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
preferred_timestamp	!= =~ <= >= = < >		!= =~ <= >= = < >
va_sense (Analog Rail Voltage, counts)	!= =~ <= >= = < >		!= =~ <= >= = < >		175	188
spectra	!= =~ <= >= = < >		!= =~ <= >= = < >		0	6
timer (s)	!= =~ <= >= = < >		!= =~ <= >= = < >		4.9	129.5
channel_array (counts)	!= =~ <= >= = < >		!= =~ <= >= = < >		-2147483648	2147483584
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2013-11-21T18:14:20Z	2013-12-24T06:02:40Z

 

Server-side Functions

distinct()

orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean (" obs instrument_id dcl_controller_timestamp internal_temperature driver_timestamp id spkir_abj_cspp_downwelling_vector provenance passed_checksum internal_timestamp serial_number frame_counter vin_sense ingestion_timestamp port_timestamp sample_delay deployment preferred_timestamp va_sense spectra timer channel_array time obs instrument_id dcl_controller_timestamp internal_temperature driver_timestamp id spkir_abj_cspp_downwelling_vector provenance passed_checksum internal_timestamp serial_number frame_counter vin_sense ingestion_timestamp port_timestamp sample_delay deployment preferred_timestamp va_sense spectra timer channel_array time obs instrument_id dcl_controller_timestamp internal_temperature driver_timestamp id spkir_abj_cspp_downwelling_vector provenance passed_checksum internal_timestamp serial_number frame_counter vin_sense ingestion_timestamp port_timestamp sample_delay deployment preferred_timestamp va_sense spectra timer channel_array time obs instrument_id dcl_controller_timestamp internal_temperature driver_timestamp id spkir_abj_cspp_downwelling_vector provenance passed_checksum internal_timestamp serial_number frame_counter vin_sense ingestion_timestamp port_timestamp sample_delay deployment preferred_timestamp va_sense spectra timer channel_array time obs instrument_id dcl_controller_timestamp internal_temperature driver_timestamp id spkir_abj_cspp_downwelling_vector provenance passed_checksum internal_timestamp serial_number frame_counter vin_sense ingestion_timestamp port_timestamp sample_delay deployment preferred_timestamp va_sense spectra timer channel_array time ")

File type: (more info) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  obs {
    Int32 _ChunkSizes 1024;
    Int32 actual_range 0, 1008776;
    String ioos_category "Unknown";
  }
  instrument_id {
    Int32 _ChunkSizes 10000, 6;
    String comment "SAT + instrument type";
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String long_name "Instrument ID";
    Int32 precision 0;
    String units "1";
  }
  dcl_controller_timestamp {
    Int32 _ChunkSizes 10000, 5;
    String comment "Timestamp from the DCL controller";
    String ioos_category "Unknown";
    String long_name "DCL Controller Timestamp";
    Int32 precision 0;
  }
  internal_temperature {
    Int32 _ChunkSizes 10000;
    Int32 _FillValue 0;
    String _Unsigned "true";
    Int32 actual_range 127, 138;
    String comment "internal temperature of the instrument";
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String long_name "Internal Instrument Temperature";
    Int32 precision 0;
    String units "counts";
  }
  driver_timestamp {
    Int32 _ChunkSizes 10000;
    Float64 actual_range 1.62258138e+9, 1.62258138e+9;
    String comment "Driver timestamp, UTC";
    String ioos_category "Time";
    String long_name "Driver Timestamp, UTC";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  id {
    Int32 _ChunkSizes 10000, 36;
    String ioos_category "Unknown";
    String name "id";
  }
  spkir_abj_cspp_downwelling_vector {
    Int32 _ChunkSizes 10000, 7;
    Float32 _FillValue -9999999.0;
    Float32 actual_range -0.0142111, 57.47291;
    String ancillary_variables "channel_array";
    String comment "Downwelling Spectral Irradiance is the measure of electromagnetic radiation per unit area received (i.e. incident) by a sensor within the seawater column. Downwelling spectral irradiance is calculated from measurements made across 7 specific, pre-defined wavebands as follows: 1 = 412nm, 2 = 443nm, 3 = 490nm, 4 = 510nm, 5 = 555nm, 6 = 620nm, 7 = 683nm..";
    String coordinates "time lat lon";
    String data_product_identifier "SPECTIR_L1";
    String ioos_category "Unknown";
    String long_name "Downwelling Spectral Irradiance";
    Int32 precision 4;
    String units "uW cm-2 nm-1";
  }
  provenance {
    Int32 _ChunkSizes 10000, 36;
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String name "provenance";
  }
  passed_checksum {
    Int32 _ChunkSizes 10000;
    Int32 _FillValue -99;
    Int32 actual_range 1, 1;
    String comment "Passed the checksum, False or True.";
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String long_name "Checksum Result";
    String units "1";
  }
  internal_timestamp {
    Int32 _ChunkSizes 10000;
    Float64 actual_range -2.2089888e+9, -2.2089888e+9;
    String comment "Internal timestamp, UTC";
    String ioos_category "Time";
    String long_name "Internal Timestamp, UTC";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  serial_number {
    Int32 _ChunkSizes 10000, 4;
    String comment "Serial Number";
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String long_name "Serial Number";
    Int32 precision 0;
    String units "1";
  }
  frame_counter {
    Int32 _ChunkSizes 10000;
    Int32 _FillValue 0;
    String _Unsigned "true";
    Int32 actual_range 1, 124;
    String comment "count of each frame transmitted";
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String long_name "Frame Counter";
    Int32 precision 0;
    String units "counts";
  }
  vin_sense {
    Int32 _ChunkSizes 10000;
    Int32 _FillValue 0;
    String _Unsigned "true";
    Int32 actual_range 272, 296;
    String comment "regulated input voltage";
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String long_name "Regulated Supply Voltage";
    Int32 precision 0;
    String units "counts";
  }
  ingestion_timestamp {
    Int32 _ChunkSizes 10000;
    Float64 actual_range 1.62258138e+9, 1.62258138e+9;
    String comment "The NTP Timestamp for when the granule was ingested";
    String ioos_category "Time";
    String long_name "Ingestion Timestamp, UTC";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  port_timestamp {
    Int32 _ChunkSizes 10000;
    Float64 actual_range 1.38505766e+9, 1.38786496e+9;
    String comment "Port timestamp, UTC";
    String ioos_category "Time";
    String long_name "Port Timestamp, UTC";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  sample_delay {
    Int32 _ChunkSizes 10000;
    Int32 _FillValue -9999;
    Int32 actual_range -133, -133;
    String comment "representing the number of milliseconds to offset the Timer value to give an accurate indication of when the frame's sensors were sampled";
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String long_name "Sample Delay";
    Int32 precision 0;
    String units "ms";
  }
  deployment {
    Int32 _ChunkSizes 10000;
    Int32 actual_range 1, 1;
    String ioos_category "Unknown";
    String name "deployment";
  }
  preferred_timestamp {
    Int32 _ChunkSizes 10000, 14;
    String comment "Timestamp preferred as official record.";
    String ioos_category "Unknown";
    String long_name "Preferred Timestamp";
  }
  va_sense {
    Int32 _ChunkSizes 10000;
    Int32 _FillValue 0;
    String _Unsigned "true";
    Int32 actual_range 175, 188;
    String comment "analog rail voltage for the operational components of the instrument";
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String long_name "Analog Rail Voltage";
    Int32 precision 0;
    String units "counts";
  }
  spectra {
    Int32 actual_range 0, 6;
    String ioos_category "Unknown";
  }
  timer {
    Int32 _ChunkSizes 10000;
    Float32 _FillValue -9999999.0;
    Float32 actual_range 4.9, 129.5;
    String comment "number of seconds that have passed since the end of the initialization sequence.";
    String coordinates "time lat lon";
    String ioos_category "Unknown";
    String long_name "Elapsed Time Since Initialization";
    Int32 precision 2;
    String units "s";
  }
  channel_array {
    Int32 _ChunkSizes 10000, 7;
    Int32 _FillValue 0;
    String _Unsigned "true";
    Int32 actual_range -2147483648, 2147483584;
    String comment "This data product is the Downwelling Spectral Irrandiance unprocessed measurements from the following wavebands: 1 = 412nm, 2 = 443nm, 3 = 490nm, 4 = 510nm, 5 = 555nm, 6 = 620nm, 7 = 683nm..";
    String coordinates "time lat lon";
    String data_product_identifier "SPECTIR_L0";
    String ioos_category "Unknown";
    String long_name "Downwelling Spectral Irradiance Measurement";
    Int32 precision 0;
    String units "counts";
  }
  time {
    Int32 _ChunkSizes 10000;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.38505766e+9, 1.38786496e+9;
    String axis "T";
    String calendar "gregorian";
    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";
  }
 }
  NC_GLOBAL {
    String AssetManagementRecordLastModified "2022-09-02T13:10:23.518000";
    String AssetUniqueID "CGINS-SPKIRB-00238";
    String cdm_data_type "Other";
    String collection_method "telemetered";
    String Conventions "CF-1.6, NCCSV-1.0";
    String creator_name "Ocean Observatories Initiative";
    String creator_url "http://oceanobservatories.org/";
    String date_created "2022-09-15T03:59:51.701Z";
    String date_modified "2022-09-15T03:59:51.701Z";
    String defaultDataQuery "instrument_id,internal_temperature,spkir_abj_cspp_downwelling_vector,passed_checksum,serial_number,frame_counter,vin_sense,sample_delay,va_sense,spectra,timer,channel_array,time&time>=max(time)-1days";
    String Description "Spectral Irradiance: SPKIR Series B";
    String feature_Type "point";
    String FirmwareVersion "3.0A";
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_resolution 0.1;
    String geospatial_lon_units "degrees_east";
    String geospatial_vertical_positive "down";
    Float64 geospatial_vertical_resolution 0.1;
    String geospatial_vertical_units "meters";
    String history 
"2022-09-15T03:59:51.701319 generated from Stream Engine
2024-12-30T17:08:02Z http://oceanobservatories.org/
2024-12-30T17:08:02Z http://erddap-goldcopy.dataexplorer.oceanobservatories.org/erddap/tabledap/CP01CNSM-RID26-08-SPKIRB000-spkir_abj_dcl_instrument-telemetered-deployment0001.html";
    String id "CP01CNSM-RID26-08-SPKIRB000-telemetered-spkir_abj_dcl_instrument";
    String infoUrl "http://oceanobservatories.org/";
    String institution "Ocean Observatories Initiative";
    Float64 lat 40.13678;
    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.";
    Float64 lon -70.76978;
    String Manufacturer "Satlantic";
    String Metadata_Conventions "Unidata Dataset Discovery v1.0";
    String Mobile "False";
    String ModelNumber "OCR507 ICSW w/ Bioshutter II (Midrange)";
    String naming_authority "org.oceanobservatories";
    String nodc_template_version "NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1";
    String node "RID26";
    String Notes "Not specified.";
    String Owner "Not specified.";
    String processing_level "L2";
    String project "Ocean Observatories Initiative";
    String publisher_name "Ocean Observatories Initiative";
    String publisher_url "http://oceanobservatories.org/";
    String references "More information can be found at http://oceanobservatories.org/";
    String RemoteResources "[]";
    String requestUUID "943d3840-0b7d-431f-aad7-27f831ae282b";
    String sensor "08-SPKIRB000";
    String SerialNumber "238";
    String ShelfLifeExpirationDate "Not specified.";
    String SoftwareVersion "Not specified.";
    String source "CP01CNSM-RID26-08-SPKIRB000-telemetered-spkir_abj_dcl_instrument";
    String sourceUrl "http://oceanobservatories.org/";
    String standard_name_vocabulary "NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29";
    String stream "spkir_abj_dcl_instrument";
    String subsite "CP01CNSM";
    String summary "Dataset Generated by Stream Engine from Ocean Observatories Initiative";
    String time_coverage_end "2013-12-24T06:02:40Z";
    String time_coverage_resolution "P2.78S";
    String time_coverage_start "2013-11-21T18:14:20Z";
    String title "Data produced by Stream Engine version 1.20.2 for CP01CNSM-RID26-08-SPKIRB000-telemetered-spkir_abj_dcl_instrument";
    String uuid "943d3840-0b7d-431f-aad7-27f831ae282b";
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.

 

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