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ERDDAP > tabledap > Subset ?

Dataset Title:  ArcticNet/IOL 0902a, Beaufort Sea CTD Data Subscribe RSS
Institution:  Canadian Cryospheric Information Network   (Dataset ID: ARICE_ArcticNet_IOL0902a_CTD_BeaufortSea_v20140923)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 24)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    latitude ?  =  degrees_north   23 options
    longitude ?  =  degrees_east   24 options
    time ?  =  24 options
    depth_QC ?  =  1   1 option: 0
    TEMP_QC ?  =  1   1 option: 0
    TUR3_QC ?  =  1   1 option: 0
    FLU2_QC ?  =  1   1 option: 0
    PSAL_QC ?  =  1   1 option: 0
    DENS_QC ?  =  1   1 option: 0
    POTENTIAL_TEMP_QC ?  =  1   1 option: 0
    SIGMA_THETA_QC ?  =  1   1 option: 0
    DOX1_QC ?  =  1   1 option: 0
    NTRA_QC ?  =  1   1 option: 0
    LGHT_QC ?  =  1   1 option: 0
    LGH4_QC ?  =  1   1 option: 0

View:      Map of Distinct Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of Distinct Data ?   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.
Map of Distinct Data
 

Distinct Data Counts ?

To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
 

Distinct Data ?   (Metadata)    (Refine the data subset and/or download the data)  

latitude longitude time depth_QC TEMP_QC TUR3_QC FLU2_QC PSAL_QC DENS_QC POTENTIAL_TEMP_QC SIGMA_THETA_QC DOX1_QC NTRA_QC LGHT_QC LGH4_QC
degrees_north degrees_east UTC 1 1 1 1 1 1 1 1 1 1 1 1
70.4802 -135.1173 2009-07-18T12:01:06Z 0 0 0 0 0 0 0 0 0 0 0 0
70.4802 -135.1104 2009-07-18T11:46:34Z 0 0 0 0 0 0 0 0 0 0 0 0
70.5 -135.6667 2009-07-27T03:55:15Z 0 0 0 0 0 0 0 0 0 0 0 0
70.5806 -135.9542 2009-07-20T00:30:37Z 0 0 0 0 0 0 0 0 0 0 0 0
70.6098 -136.4741 2009-07-20T12:51:34Z 0 0 0 0 0 0 0 0 0 0 0 0
70.6399 -135.1001 2009-07-27T14:13:30Z 0 0 0 0 0 0 0 0 0 0 0 0
70.6544 -135.9314 2009-07-20T06:23:21Z 0 0 0 0 0 0 0 0 0 0 0 0
70.6559 -135.6378 2009-07-19T00:25:36Z 0 0 0 0 0 0 0 0 0 0 0 0
70.7057 -135.8021 2009-07-19T12:54:02Z 0 0 0 0 0 0 0 0 0 0 0 0
70.7358 -135.5609 2009-07-19T06:20:32Z 0 0 0 0 0 0 0 0 0 0 0 0
70.7371 -135.9183 2009-07-26T02:47:17Z 0 0 0 0 0 0 0 0 0 0 0 0
70.7379 -135.5369 2009-07-19T08:19:13Z 0 0 0 0 0 0 0 0 0 0 0 0
70.7626 -136.021 2009-07-21T02:35:28Z 0 0 0 0 0 0 0 0 0 0 0 0
70.7873 -135.5287 2009-07-21T12:46:15Z 0 0 0 0 0 0 0 0 0 0 0 0
70.7949 -136.6575 2009-07-24T14:15:22Z 0 0 0 0 0 0 0 0 0 0 0 0
70.815 -134.5498 2009-07-21T21:50:57Z 0 0 0 0 0 0 0 0 0 0 0 0
70.8183 -134.5101 2009-07-22T07:45:08Z 0 0 0 0 0 0 0 0 0 0 0 0
70.8751 -135.3571 2009-07-23T01:07:29Z 0 0 0 0 0 0 0 0 0 0 0 0
70.8969 -134.2675 2009-07-22T00:52:02Z 0 0 0 0 0 0 0 0 0 0 0 0
70.9203 -135.8637 2009-07-23T07:46:22Z 0 0 0 0 0 0 0 0 0 0 0 0
70.9359 -136.4294 2009-07-25T06:57:04Z 0 0 0 0 0 0 0 0 0 0 0 0
70.9885 -136.1284 2009-07-25T14:19:40Z 0 0 0 0 0 0 0 0 0 0 0 0
71.0156 -135.3457 2009-07-23T15:54:27Z 0 0 0 0 0 0 0 0 0 0 0 0
71.0184 -134.6324 2009-07-22T16:33:03Z 0 0 0 0 0 0 0 0 0 0 0 0

In total, there are 24 rows of distinct combinations of the variables listed above. All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
 

Related Data Counts ?

To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 

Related Data ?   (Metadata)    (Refine the data subset and/or download the data)

To view the related data, change View : Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.


 
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