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Dataset Title:  MACMAP XBT 20230320 temperature monitoring cruise Subscribe RSS
Institution:  Istituto Nazionale Geofisica e Vulcanologia - Sez.Bologna   (Dataset ID: MACMAP_MX04_20230320)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 38)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    SDN_EDMO_CODE ?  =  1 option: 136
    SDN_CRUISE ?  =  1 option: MMMMMM
    SDN_BOT_DEPTH ?  =  meters   38 options
    time ?  =  38 options
    TIME_SEADATANET_QC ?  =  1 option:
    longitude ?  =  degrees_east   38 options
    latitude ?  =  degrees_north   38 options
    POSITION_SEADATANET_QC ?  =  1 option: 49

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)  

SDN_EDMO_CODE SDN_CRUISE SDN_BOT_DEPTH time TIME_SEADATANET_QC longitude latitude POSITION_SEADATANET_QC
meters UTC degrees_east degrees_north
136 MMMMMM 141.0 2023-03-20T13:04:36Z 9.533401111111111 43.166666666666664 49
136 MMMMMM 142.0 2023-03-20T16:01:20Z 10.100013333333333 42.166666666666664 49
136 MMMMMM 290.0 2023-03-20T13:32:48Z 9.600044444444444 43.0 49
136 MMMMMM 485.0 2023-03-20T12:35:56Z 9.450170277777778 43.333333333333336 49
136 MMMMMM 486.0 2023-03-20T14:01:18Z 9.66676388888889 42.833333333333336 49
136 MMMMMM 548.0 2023-03-20T14:30:17Z 9.75020138888889 42.666666666666664 49
136 MMMMMM 567.0 2023-03-20T09:39:09Z 8.983604722222221 44.25 49
136 MMMMMM 677.0 2023-03-20T16:33:03Z 10.233399722222222 42.0 49
136 MMMMMM 689.0 2023-03-20T14:59:35Z 9.850178333333332 42.5 49
136 MMMMMM 718.0 2023-03-20T15:29:23Z 9.966679166666667 42.333333333333336 49
136 MMMMMM 835.0 2023-03-20T10:26:24Z 9.1168125 44.0 49
136 MMMMMM 876.0 2023-03-20T17:04:47Z 10.366799444444444 41.833333333333336 49
136 MMMMMM 886.0 2023-03-20T12:07:12Z 9.366802777777778 43.5 49
136 MMMMMM 906.0 2023-03-21T04:21:21Z 13.283361944444444 38.36666666666667 49
136 MMMMMM 1070.0 2023-03-20T09:55:04Z 9.033359722222222 44.16675 49
136 MMMMMM 1116.0 2023-03-20T11:08:51Z 9.200029166666665 43.833333333333336 49
136 MMMMMM 1234.0 2023-03-20T19:19:28Z 10.933348888888888 41.166666666666664 49
136 MMMMMM 1265.0 2023-03-20T18:07:38Z 10.650085833333334 41.5 49
136 MMMMMM 1437.0 2023-03-20T11:38:02Z 9.266890833333335 43.666666666666664 49
136 MMMMMM 1456.0 2023-03-20T17:36:20Z 10.50025138888889 41.666666666666664 49
136 MMMMMM 1508.0 2023-03-21T03:21:48Z 13.000269444444445 38.65026666666667 49
136 MMMMMM 1679.0 2023-03-20T18:42:34Z 10.783603333333334 41.333333333333336 49
136 MMMMMM 1741.0 2023-03-20T19:51:01Z 11.066883888888889 41.0 49
136 MMMMMM 1990.0 2023-03-21T02:50:06Z 12.88344888888889 38.833333333333336 49
136 MMMMMM 2197.0 2023-03-21T03:54:32Z 13.150141666666666 38.5 49
136 MMMMMM 2328.0 2023-03-20T21:27:12Z 11.483583055555554 40.5 49
136 MMMMMM 2557.0 2023-03-20T20:23:01Z 11.216693333333334 40.833333333333336 49
136 MMMMMM 2570.0 2023-03-21T01:46:02Z 12.61667888888889 39.166666666666664 49
136 MMMMMM 2628.0 2023-03-20T21:59:15Z 11.633395 40.333333333333336 49
136 MMMMMM 2758.0 2023-03-20T20:55:19Z 11.350145833333332 40.666666666666664 49
136 MMMMMM 3010.0 2023-03-20T22:31:36Z 11.76685027777778 40.166666666666664 49
136 MMMMMM 3030.0 2023-03-21T01:16:49Z 12.48347361111111 39.31669444444445 49
136 MMMMMM 3115.0 2023-03-21T02:18:05Z 12.750072222222222 39.0 49
136 MMMMMM 3196.0 2023-03-21T01:13:56Z 12.466878611111111 39.333333333333336 49
136 MMMMMM 3467.0 2023-03-20T23:03:56Z 11.916676388888888 40.0 49
136 MMMMMM 3503.0 2023-03-21T00:09:18Z 12.183571666666667 39.666666666666664 49
136 MMMMMM 3529.0 2023-03-20T23:36:42Z 12.050130277777779 39.833333333333336 49
136 MMMMMM 3583.0 2023-03-21T00:41:31Z 12.333405555555556 39.5 49

In total, there are 38 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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