ERDDAP > tabledap > Subset

Dataset Title:	water temperature from Sopelana buoy
Institution:	AZTI   (Dataset ID: sopelana_59_temp)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 280)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

buoy_number	= (ANY) 59	1 option: 59
sd_state	= (ANY) 0	1 option: 0
soc_battery	= (ANY) 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93	32 options
voltage_bms	= (ANY) 7.48 7.49 7.5 7.51 7.52 7.53 7.54 7.55 7.56 7.57 7.58 7.59 7.6 7.61 7.62 7.63 7.64 7.65 7.66 7.67 7.68 7.69 7.7 7.71 7.72 7.73 7.74 7.75 7.76 7.77 7.78 7.79 7.8 7.81 7.82 7.83 7.84 7.85 7.86 7.87 7.88 7.89 7.9 7.91 7.92 7.93 7.94 7.95 7.96 7.97 7.98 7.99 8.0 8.01 8.02 8.03 8.04 8.05 8.06 8.07 8.08 8.09 8.1	64 options

View:      Map of All Related Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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Map of All Related Data   (Refine the map and/or download the image)

To view the map, check View : Map of All 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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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.
 

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

buoy_number	sd_state	soc_battery	voltage_bms
59	0	63	7.48
59	0	63	7.49
59	0	63	7.5
59	0	63	7.51
59	0	63	7.52
59	0	63	7.53
59	0	63	7.54
59	0	63	7.55
59	0	63
59	0	64	7.49
59	0	64	7.5
59	0	64	7.51
59	0	64	7.52
59	0	64	7.53
59	0	64	7.54
59	0	64	7.55
59	0	64	7.56
59	0	64	7.57
59	0	64	7.58
59	0	64
59	0	65	7.53
59	0	65	7.54
59	0	65	7.55
59	0	65	7.56
59	0	65	7.57
59	0	65	7.58
59	0	65	7.59
59	0	65
59	0	66	7.55
59	0	66	7.56
59	0	66	7.57
59	0	66	7.58
59	0	66	7.59
59	0	66	7.6
59	0	66	7.61
59	0	66
59	0	67	7.57
59	0	67	7.58
59	0	67	7.59
59	0	67	7.6
59	0	67	7.61
59	0	67	7.62
59	0	67	7.63
59	0	67	7.64
59	0	67
59	0	68	7.59
59	0	68	7.6
59	0	68	7.61
59	0	68	7.62
59	0	68	7.63
59	0	68	7.64
59	0	68	7.65
59	0	68	7.66
59	0	68
59	0	69	7.61
59	0	69	7.62
59	0	69	7.63
59	0	69	7.64
59	0	69	7.65
59	0	69	7.66
59	0	69	7.67
59	0	69
59	0	70	7.62
59	0	70	7.63
59	0	70	7.64
59	0	70	7.65
59	0	70	7.66
59	0	70	7.67
59	0	70	7.68
59	0	70	7.69
59	0	70
59	0	71	7.64
59	0	71	7.65
59	0	71	7.66
59	0	71	7.67
59	0	71	7.68
59	0	71	7.69
59	0	71	7.7
59	0	71
59	0	72	7.66
59	0	72	7.67
59	0	72	7.68
59	0	72	7.69
59	0	72	7.7
59	0	72	7.71
59	0	72	7.72
59	0	72
59	0	73	7.68
59	0	73	7.69
59	0	73	7.7
59	0	73	7.71
59	0	73	7.72
59	0	73	7.73
59	0	73	7.74
59	0	73
59	0	74	7.69
59	0	74	7.7
59	0	74	7.71
59	0	74	7.72
59	0	74	7.73
59	0	74	7.74
59	0	74	7.75
59	0	74
59	0	75	7.71
59	0	75	7.72
59	0	75	7.73
59	0	75	7.74
59	0	75	7.75
59	0	75	7.76
59	0	75	7.77
59	0	75
59	0	76	7.72
59	0	76	7.73
59	0	76	7.74
59	0	76	7.75
59	0	76	7.76
59	0	76	7.77
59	0	76	7.78
59	0	76
59	0	77	7.74
59	0	77	7.75
59	0	77	7.76
59	0	77	7.77
59	0	77	7.78
59	0	77	7.79
59	0	77	7.8
59	0	77
59	0	78	7.76
59	0	78	7.77
59	0	78	7.78
59	0	78	7.79
59	0	78	7.8
59	0	78	7.81
59	0	78	7.82
59	0	78
59	0	79	7.77
59	0	79	7.78
59	0	79	7.79
59	0	79	7.8
59	0	79	7.81
59	0	79	7.82
59	0	79	7.83
59	0	79
59	0	80	7.79
59	0	80	7.8
59	0	80	7.81
59	0	80	7.82
59	0	80	7.83
59	0	80	7.84
59	0	80	7.85
59	0	80
59	0	81	7.8
59	0	81	7.81
59	0	81	7.82
59	0	81	7.83
59	0	81	7.84
59	0	81	7.85
59	0	81	7.86
59	0	81	7.87
59	0	81
59	0	82	7.82
59	0	82	7.83
59	0	82	7.84
59	0	82	7.85
59	0	82	7.86
59	0	82	7.87
59	0	82	7.88
59	0	82	7.89
59	0	82
59	0	83	7.84
59	0	83	7.85
59	0	83	7.86
59	0	83	7.87
59	0	83	7.88
59	0	83	7.89
59	0	83	7.9
59	0	83	7.91
59	0	83	7.92
59	0	83
59	0	84	7.86
59	0	84	7.87
59	0	84	7.88
59	0	84	7.89
59	0	84	7.9
59	0	84	7.91
59	0	84	7.92
59	0	84	7.93
59	0	84	7.94
59	0	84	7.95
59	0	84
59	0	85	7.88
59	0	85	7.89
59	0	85	7.9
59	0	85	7.91
59	0	85	7.92
59	0	85	7.93
59	0	85	7.94
59	0	85	7.95
59	0	85	7.96
59	0	85	7.97
59	0	85
59	0	86	7.9
59	0	86	7.91
59	0	86	7.92
59	0	86	7.93
59	0	86	7.94
59	0	86	7.95
59	0	86	7.96
59	0	86	7.97
59	0	86	7.98
59	0	86	7.99
59	0	86
59	0	87	7.93
59	0	87	7.94
59	0	87	7.95
59	0	87	7.96
59	0	87	7.97
59	0	87	7.98
59	0	87	7.99
59	0	87	8.0
59	0	87	8.01
59	0	87	8.02
59	0	87	8.03
59	0	87
59	0	88	7.95
59	0	88	7.96
59	0	88	7.97
59	0	88	7.98
59	0	88	7.99
59	0	88	8.0
59	0	88	8.01
59	0	88	8.02
59	0	88	8.03
59	0	88	8.04
59	0	88	8.05
59	0	88
59	0	89	7.97
59	0	89	7.98
59	0	89	7.99
59	0	89	8.0
59	0	89	8.01
59	0	89	8.02
59	0	89	8.03
59	0	89	8.04
59	0	89	8.05
59	0	89	8.06
59	0	89	8.07
59	0	89
59	0	90	8.0
59	0	90	8.01
59	0	90	8.02
59	0	90	8.03
59	0	90	8.04
59	0	90	8.05
59	0	90	8.06
59	0	90	8.07
59	0	90	8.08
59	0	90	8.09
59	0	90	8.1
59	0	90
59	0	91	8.02
59	0	91	8.03
59	0	91	8.04
59	0	91	8.05
59	0	91	8.06
59	0	91	8.07
59	0	91	8.08
59	0	91	8.09
59	0	91
59	0	92	8.05
59	0	92	8.06
59	0	92	8.07
59	0	92	8.08
59	0	92	8.09
59	0	92	8.1
59	0	92
59	0	93	8.08
59	0	93	8.09
59	0	93	8.1
59	0

In total, there are 280 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.
 

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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.
 

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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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