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Dataset Title:	Long-term oceanic observatories moorings data in the Beaufort Sea during ArcticNet study 2004-2010, reprocessed.
Institution:	ArcticNet   (Dataset ID: amundsen13109_compact_lw)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
filename (Source File Name)	!= =~ <= >= = < >		!= =~ <= >= = < >		"AS-ArcticNet_EFZ_2..."	"AS-ArcticNet_EFZ_2..."
platform_code	!= =~ <= >= = < >		!= =~ <= >= = < >		"Amundsen"
project	!= =~ <= >= = < >		!= =~ <= >= = < >		"Long-Term Ocean Observatory (LTOO) - International Polar Year - Circumpolar Flaw Lead System Study (IPY-CFL)"
site_code	!= =~ <= >= = < >		!= =~ <= >= = < >		"CA05-07"
site_depth_at_deployment	!= =~ <= >= = < >		!= =~ <= >= = < >		200.0	200.0
site_nominal_depth	!= =~ <= >= = < >		!= =~ <= >= = < >		200.0	200.0
deployment_code	!= =~ <= >= = < >		!= =~ <= >= = < >		"CA05-07"
instrument	!= =~ <= >= = < >		!= =~ <= >= = < >		"JFE_ALEC Compact-LW"
instrument_serial_number	!= =~ <= >= = < >		!= =~ <= >= = < >		"71"	"71"
instrument_average_interval	!= =~ <= >= = < >		!= =~ <= >= = < >
instrument_beam_angle	!= =~ <= >= = < >		!= =~ <= >= = < >
instrument_nominal_depth	!= =~ <= >= = < >		!= =~ <= >= = < >		35.0	35.0
instrument_sample_interval	!= =~ <= >= = < >		!= =~ <= >= = < >		1.000008	1.000008
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2007-10-23T00:00:00Z	2008-07-27T21:00:09Z
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		71.31364	71.31364
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-127.6022916667	-127.6022916667
depth (actual depth, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.392219	53.46891
DEPTH_quality_control	!= =~ <= >= = < >		!= =~ <= >= = < >		1	4
NOMINAL_DEPTH (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		35.0	35.0
PAR (umole m-2 s-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.6835582	319.1496
PAR_quality_control	!= =~ <= >= = < >		!= =~ <= >= = < >		1	4

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" filename platform_code project site_code site_depth_at_deployment site_nominal_depth deployment_code instrument instrument_serial_number instrument_average_interval instrument_beam_angle instrument_nominal_depth instrument_sample_interval time latitude longitude depth DEPTH_quality_control NOMINAL_DEPTH PAR PAR_quality_control filename platform_code project site_code site_depth_at_deployment site_nominal_depth deployment_code instrument instrument_serial_number instrument_average_interval instrument_beam_angle instrument_nominal_depth instrument_sample_interval time latitude longitude depth DEPTH_quality_control NOMINAL_DEPTH PAR PAR_quality_control filename platform_code project site_code site_depth_at_deployment site_nominal_depth deployment_code instrument instrument_serial_number instrument_average_interval instrument_beam_angle instrument_nominal_depth instrument_sample_interval time latitude longitude depth DEPTH_quality_control NOMINAL_DEPTH PAR PAR_quality_control filename platform_code project site_code site_depth_at_deployment site_nominal_depth deployment_code instrument instrument_serial_number instrument_average_interval instrument_beam_angle instrument_nominal_depth instrument_sample_interval time latitude longitude depth DEPTH_quality_control NOMINAL_DEPTH PAR PAR_quality_control filename platform_code project site_code site_depth_at_deployment site_nominal_depth deployment_code instrument instrument_serial_number instrument_average_interval instrument_beam_angle instrument_nominal_depth instrument_sample_interval time latitude longitude depth DEPTH_quality_control NOMINAL_DEPTH PAR PAR_quality_control ")

File type: (more information) .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .mat - Download a MATLAB binary file. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .wav - Download a .wav audio file. All columns must be numeric and of the same type. .kml - View a .kml file, suitable for Google Earth. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .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). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend). .parquetWMeta - Download as a parquet file with detailed metadata. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .png - View a standard, medium-sized .png image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .dods - OPeNDAP clients use this to download the data in the DODS binary format. .iso19115 - View the dataset's ISO 19115/19139 UTF-8 .xml metadata using the version default for this server. .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .croissant - Download the dataset croissant schema. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .largePng - View a large .png image file with a graph or map. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .smallPdf - View a small .pdf image file with a graph or map. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. 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). .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .smallPng - View a small .png image file with a graph or map. .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units").

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  filename {
    String cf_role "timeseries_id";
    String long_name "Source File Name";
  }
  platform_code {
    String long_name "Platform Code";
  }
  project {
    String long_name "Project";
  }
  site_code {
    String long_name "site_code";
  }
  site_depth_at_deployment {
    Float32 actual_range 200.0, 200.0;
    String long_name "Site Depth at Deployment";
  }
  site_nominal_depth {
    Float32 actual_range 200.0, 200.0;
    String long_name "Site Nominal Depth";
  }
  deployment_code {
    String long_name "Deployment Code";
  }
  instrument {
    String long_name "Instrument";
  }
  instrument_serial_number {
    String long_name "instrument_serial_number";
  }
  instrument_average_interval {
    String long_name "instrument_average_interval";
  }
  instrument_beam_angle {
    String long_name "instrument_beam_angle";
  }
  instrument_nominal_depth {
    Float32 actual_range 35.0, 35.0;
    String long_name "instrument_nominal_depth";
  }
  instrument_sample_interval {
    Float32 actual_range 1.000008, 1.000008;
    String long_name "instrument_sample_interval";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1930976e+9, 1.217192409e+9;
    String axis "T";
    String calendar "gregorian";
    Float64 colorBarMaximum 100000.0;
    Float64 colorBarMinimum 0.0;
    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";
    Float64 valid_max 90000.0;
    Float64 valid_min 0.0;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 71.31364, 71.31364;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String reference_datum "WGS84 geographic coordinate system";
    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 -127.6022916667, -127.6022916667;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String reference_datum "WGS84 geographic coordinate system";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 _FillValue 999999.0;
    Float32 actual_range -1.392219, 53.46891;
    String ancillary_variables "DEPTH_quality_control";
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String comment "depthPP: Depth inferred from 2 neighbouring pressure sensors Nortek Continental @87m and Nortek Continental @90m, using the Gibbs-SeaWater toolbox (TEOS-10) v3.06 from latitude and relative pressure measurements (calibration offset usually performed to balance current atmospheric pressure and acute sensor precision at a deployed depth).";
    String ioos_category "Location";
    String long_name "actual depth";
    Float32 missing_value NaN;
    String positive "down";
    String reference_datum "sea surface";
    String source "Calculated depth (x2)";
    String standard_name "depth";
    String units "m";
    Float32 valid_max 12000.0;
    Float32 valid_min -5.0;
  }
  DEPTH_quality_control {
    Byte _FillValue 99;
    String _Unsigned "false";
    Byte actual_range 1, 4;
    String ancillary_variables "depth";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "No_QC_performed Good_data Probably_good_data Bad_data_that_are_potentially_correctable Bad_data Value_changed Not_used Not_used Not_used Missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String long_name "quality flag for depth";
    String quality_control_conventions "IMOS standard flags";
    String quality_control_global "B";
    String quality_control_global_conventions "Argo reference table 2a (see https://www.cmar.csiro.au/argo/dmqc/user_doc/QC_flags.html), applied on data in position only (between global attributes time_deployment_start and time_deployment_end)";
    String standard_name "depth";
  }
  NOMINAL_DEPTH {
    Float32 actual_range 35.0, 35.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String long_name "nominal depth";
    String positive "down";
    String reference_datum "sea surface";
    String standard_name "depth";
    String units "m";
    Float32 valid_max 12000.0;
    Float32 valid_min -5.0;
  }
  PAR {
    Float32 _FillValue 999999.0;
    Float32 actual_range 0.6835582, 319.1496;
    String ancillary_variables "PAR_quality_control";
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String comment "Light Quantum : [umol_phtn/m2/s]";
    String CTD_Rosette_validation_status "Adjusted and validated data. Used difference (Mooring instrument - CTD-Rosette): 2015/08/24 22:31 diff=64.97µmol_phtn/m2/s ; 2016/08/29 14:13 diff=64.61µmol_phtn/m2/s";
    Float64 drift -0.3545084243901069;
    String drift_ref_time "2015/08/24 16:00";
    String long_name "Downwelling Photosynthetic Photon Flux In Sea Water";
    Float64 offset 64.97026428504114;
    String standard_name "downwelling_photosynthetic_photon_flux_in_sea_water";
    String units "umole m-2 s-1";
  }
  PAR_quality_control {
    Byte _FillValue 99;
    String _Unsigned "false";
    Byte actual_range 1, 4;
    String ancillary_variables "downwelling_photosynthetic_photon_flux_in_sea_water";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comment "Data values at TIME from 2016/08/29 16:00:00 UTC to 2016/08/30 02:00:09 UTC manually flagged as Bad_data : outlier. Data values at TIME from 2016/08/29 16:00:00 UTC to 2016/08/30 02:00:09 UTC manually flagged as Bad_data : outlier";
    String flag_meanings "No_QC_performed Good_data Probably_good_data Bad_data_that_are_potentially_correctable Bad_data Value_changed Not_used Not_used Not_used Missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String long_name "quality flag for downwelling_photosynthetic_photon_flux_in_sea_water";
    String quality_control_conventions "IMOS standard flags";
    String quality_control_global "B";
    String quality_control_global_conventions "Argo reference table 2a (see https://www.cmar.csiro.au/argo/dmqc/user_doc/QC_flags.html), applied on data in position only (between global attributes time_deployment_start and time_deployment_end)";
    String standard_name "status_flag";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "filename, platform_code,project,site_code,site_depth_at_deployment,site_nominal_depth, deployment_code,instrument, instrument_serial_number, instrument_beam_angle, instrument_nominal_depth,instrument_sample_interval,latitude, longitude";
    String comment 
"##Limitations:
Purpose: To monitor changes in physical, biological and geochemical properties of the Canadian Arctic waters, ocean observatories (moorings) were deployed in the Beaufort Sea, Hudson Bay, Lancaster Sound, and Melville Sound as part of the ArcticNet field program. These moorings are the oceanic equivalent of atmospheric meteorological stations. The data are used to describe the seasonal and annual variations in the Arctic environment and its local ecosystems. This, in turn, enables us to understand how, and how quickly, global warming is affecting the Arctic

 Supplemental Information: Summary: Not Applicable Research Program(s): ArcticNet. For further information: amundsen.data@as.ulaval.ca";
    String contributor_name "Gratton, Yves;Blondeau, Sylvain;Forest, Alexandre;Fortier, Louis;Massot, Pascal;Michaud, Luc;ArcticNet;Amundsen Science;Amundsen Science";
    String contributor_role "principalInvestigator,originator;collaborator;collaborator;collaborator;collaborator;collaborator;pointOfContact,owner,distributor;owner,distributor;pointOfContact,custodian";
    String Conventions "COARDS,ACDD-1.3,CF-1.6,CF-1.7,CF-1.8,CF-1.9";
    String creator_city "Québec";
    String creator_country "Canada";
    String creator_email "pdc@arcticnet.ulaval.ca";
    String creator_institution "ArcticNet";
    String creator_name "ArcticNet";
    String creator_type "institution";
    String date_created "2024-10-25";
    String date_modified "2024-10-25T00:00:00Z";
    String doi "https://doi.org/10.5884/13109";
    Float64 Easternmost_Easting -127.6022916667;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 71.31364;
    Float64 geospatial_lat_min 71.31364;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -127.6022916667;
    Float64 geospatial_lon_min -127.6022916667;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 53.46891;
    Float64 geospatial_vertical_min -1.392219;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-12-14T18:00:23Z (local files)
2025-12-14T18:00:23Z https://erddap.amundsenscience.com/erddap/tabledap/amundsen13109_compact_lw.html";
    String id "ccin-13109";
    String infoUrl "???";
    String institution "ArcticNet";
    Float32 instrument_actual_depth 33.0;
    Float64 instrument_burst_interval 3600.0;
    String instrument_calib_status ": Status :";
    String keywords "Amundsen Gulf, ArcticNet, Beaufort Sea, CIOOS:subSurfaceCurrents, CIOOS:subSurfaceSalinity, CIOOS:subSurfaceTemperature, Density, Fluxes, Hudson Bay, Lancaster Sound, Mackenzie Shelf, Melville Sound, Monitoring, Ocean currents, Salinity, Temperature, Water column";
    String keywords_vocabulary "CIOOS: CIOOS Essential Ocean Variables Vocabulary";
    String license "https://creativecommons.org/licenses/by/4.0";
    String metadata_form "https://cioos-siooc.github.io/metadata-entry-form#/en/amundsen/c8GqCtwH6sZnf3HtZhCgkOsmtoh1/ccin-13109";
    String metadata_link "https://doi.org/10.5884/13109";
    String naming_authority "ca.cioos";
    Float64 Northernmost_Northing 71.31364;
    String platform "mooring";
    String platform_vocabulary "https://vocab.nerc.ac.uk/collection/L06/current/";
    String product_version "1.0";
    String progress "completed";
    String project "ArcticNet";
    String publisher_city "Quebec City";
    String publisher_country "Canada";
    String publisher_email "amundsen.data@as.ulaval.ca";
    String publisher_institution "Amundsen Science";
    String publisher_name "Amundsen Science";
    String publisher_ror "https://ror.org/02s3xv195";
    String publisher_type "institution";
    String publisher_url "https://amundsenscience.com";
    String quality_control_log 
"imosImpossibleDateQC(dateMin=01/01/2000, dateMax=05/06/2017) did not fail on any TIME sample.
imosImpossibleLocationSetQC(distanceKmPlusMinusThreshold=2.5) did not fail on any LATITUDE sample.
imosImpossibleLocationSetQC(distanceKmPlusMinusThreshold=2.5) did not fail on any LONGITUDE sample.
imosGlobalRangeQC(min=-5, max=12000) flagged 680 DEPTH samples with flag Bad_data.
imosInOutWaterQC(in=23/10/07 00:00:00, out=25/07/08 00:00:09) flagged 690 PAR samples with flag Bad_data.
imosInOutWaterQC(in=23/10/07 00:00:00, out=25/07/08 00:00:09) flagged 690 VOLT samples with flag Bad_data.
imosInOutWaterQC(in=23/10/07 00:00:00, out=25/07/08 00:00:09) flagged 20 DEPTH samples with flag Bad_data.
imosImpossibleDepthQC(zNominalMargin=15, maxAngle=70 => min=20, max=168.4364) did not fail on any DEPTH sample.
imosRateOfChangeQC(threshold=3*stdDev) flagged 4097 PAR samples with flag Bad_data_that_are_potentially_correctable.
imosRateOfChangeQC(threshold=3*stdDev) did not fail on any DEPTH sample.
imosVerticalSpikeQC(threshold=0.75) did not fail on any PAR sample.
imosVerticalSpikeQC(threshold=3) did not fail on any DEPTH sample.
Author manually flagged 42 PAR samples with flag Probably_good_data.
imosImpossibleDateQC(dateMin=01/01/2000, dateMax=08/06/2017) did not fail on any TIME sample.
imosImpossibleLocationSetQC(distanceKmPlusMinusThreshold=2.5) did not fail on any LATITUDE sample.
imosImpossibleLocationSetQC(distanceKmPlusMinusThreshold=2.5) did not fail on any LONGITUDE sample.
imosGlobalRangeQC(min=-5, max=12000) flagged 680 DEPTH samples with flag Bad_data.
imosInOutWaterQC(in=23/10/07 00:00:00, out=25/07/08 00:00:09) flagged 690 PAR samples with flag Bad_data.
imosInOutWaterQC(in=23/10/07 00:00:00, out=25/07/08 00:00:09) flagged 690 VOLT samples with flag Bad_data.
imosInOutWaterQC(in=23/10/07 00:00:00, out=25/07/08 00:00:09) flagged 20 DEPTH samples with flag Bad_data.
imosImpossibleDepthQC(zNominalMargin=15, maxAngle=70 => min=20, max=168.4364) did not fail on any DEPTH sample.
imosRateOfChangeQC(threshold=3*stdDev) flagged 4097 PAR samples with flag Bad_data_that_are_potentially_correctable.
imosRateOfChangeQC(threshold=3*stdDev) did not fail on any DEPTH sample.
imosVerticalSpikeQC(threshold=0.75) did not fail on any PAR sample.
imosVerticalSpikeQC(threshold=3) did not fail on any DEPTH sample.
Author manually flagged 42 PAR samples with flag Probably_good_data.";
    String source "Mooring";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 71.31364;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "platform_code,project,site_code,deployment_code,instrument";
    String summary 
"Thirty-six moorings were deployed in the Beaufort Sea between 2004 and 2010. Some of the moorings were deployed for one year only and others were maintained (recovered and redeployed) over several years. A total of 12 moorings were lost (1 in 2004, 2 in 2006, 1 in 2007, 2 in 2008, and 6 in 2010). Mooring sites included the Mackenzie Shelf (North-Western to North-Eastern), Mackenzie Shelf slope, Kugmallit Valley, Canada Basin, Mackenzie Canyon, Amundsen Gulf (West to East), and outer Franklin Bay area. Bottom depth at deployment sites varied between 200 and 545 m. Mooring lines were equipped with various oceanographic instruments attached at different depths from 12 m to a maximum of 500 m below the surface. Moored instruments included ALEC conductivity-temperature-turbidity- chlorophyll-PAR sensors, SeaBird SB 26 and SB37 conductivity-temperature sensors, RMC4, RMC7 and RCM11 current meters, Nortek current profilers, McLane moored profilers and NIPR and Technicap sediment traps. The datasets available were quality controlled, and have been used in several publications listed in the document accompanying the data. Variables available include water temperature, conductivity (salinity), density, PAR, Chla, turbidity, oxygen and current velocity (speed and direction). Sediment trap collections were used to estimate downward fluxes of particles, and datasets are described in Metadata CCIN 10476 (Vertical particle flux data in the Beaufort Sea: 2002-2010).
This dataset is a reprocessed version of the previous one. The processing chain used is built upon open-source Integrated Marine Observatory System (IMOS) toolbox developed for Matlab© by the Australian Ocean Data Network (AODN; Galibert, 2016).";
    String time_coverage_end "2008-07-27T21:00:09Z";
    String time_coverage_start "2007-10-23T00:00:00Z";
    String title "Long-term oceanic observatories moorings data in the Beaufort Sea during ArcticNet study 2004-2010, reprocessed.";
    Float64 Westernmost_Easting -127.6022916667;
  }
}

 

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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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ERDDAP, Version 2.28.1
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