ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - d93g173.bdo.nc - 27.72N, -95.01W - 1993-11-17"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g173_bdo)
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: 11)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

depth	= (ANY) 1.0 19.0 39.0 59.0 67.0 78.0 99.0 198.0 296.0 396.0 499.0  m	11 options
temperature	= (ANY) 8.91100025177002 10.2298002243042 12.105299949645996 15.503399848937988 20.562000274658203 22.800100326538086 25.177400588989258 25.611799240112305 25.640899658203125 25.6427001953125 25.647300720214844  degree_C (potential temperature from ctd)	11 options
salinity	= (ANY) 35.09360122680664 35.2578010559082 35.527000427246094 36.04949951171875 36.137298583984375 36.13949966430664 36.140201568603516 36.143001556396484 36.2057991027832 36.281898498535156 36.359500885009766  PSU	11 options
oxygen	= (ANY) 2.5999999046325684 2.619999885559082 2.6700000762939453 2.75 3.4700000286102295 4.340000152587891 4.550000190734863 4.710000038146973 4.71999979019165 4.739999771118164  milliliters per liter	10 options
nitrite	= (ANY) 0.0 0.029999999329447746 0.07000000029802322 0.15000000596046448  micromols	4 options
nitrate	= (ANY) 0.10000000149011612 0.2199999988079071 0.28999999165534973 0.41999998688697815 1.0299999713897705 4.03000020980835 16.8799991607666 23.09000015258789 26.84000015258789 28.670000076293945  micromols	10 options
phosphate	= (ANY) 0.029999999329447746 0.03999999910593033 0.07000000029802322 0.07999999821186066 0.1599999964237213 0.9200000166893005 1.340000033378601 1.6100000143051147 1.7599999904632568  micromols	9 options
silicate	= (ANY) 2.1500000953674316 2.190000057220459 2.3499999046325684 2.4000000953674316 2.4600000381469727 2.6600000858306885 2.8399999141693115 11.5600004196167 15.460000038146973 18.34000015258789  micromols	10 options
salinity2	= (ANY) 35.10499954223633 35.25899887084961 35.527000427246094 36.05500030517578 36.145999908447266 36.14699935913086 36.150001525878906 36.20899963378906 36.292999267578125 36.369998931884766  PSU	10 options
qualityFlag	= (ANY) 0.0 1.0	2 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)  

depth	temperature	salinity	oxygen	nitrite	nitrate	phosphate	silicate	salinity2	qualityFlag
m	degree_C (potential temperature from ctd)	PSU	milliliters per liter	micromols	micromols	micromols	micromols	PSU
1.0	25.611799240112305	36.143001556396484	4.739999771118164	0.0	0.41999998688697815	0.07000000029802322	2.4600000381469727	36.150001525878906	0.0
19.0	25.647300720214844	36.140201568603516	4.71999979019165	0.0	0.2199999988079071	0.029999999329447746	2.1500000953674316	36.145999908447266	0.0
39.0	25.640899658203125	36.13949966430664	4.710000038146973	0.0	0.10000000149011612	0.029999999329447746	2.1500000953674316	36.145999908447266	0.0
59.0	25.6427001953125	36.137298583984375	4.710000038146973	0.0	0.10000000149011612	0.029999999329447746	2.190000057220459	36.14699935913086	0.0
67.0	25.177400588989258	36.2057991027832	4.550000190734863	0.15000000596046448	0.28999999165534973	0.03999999910593033	2.4000000953674316	36.20899963378906	0.0
78.0	22.800100326538086	36.281898498535156	4.340000152587891	0.07000000029802322	1.0299999713897705	0.07999999821186066	2.8399999141693115	36.292999267578125	0.0
99.0	20.562000274658203	36.359500885009766	3.4700000286102295	0.029999999329447746	4.03000020980835	0.1599999964237213	2.6600000858306885	36.369998931884766	0.0
198.0	15.503399848937988	36.04949951171875	2.75	0.0	16.8799991607666	0.9200000166893005	2.3499999046325684	36.05500030517578	0.0
296.0	12.105299949645996	35.527000427246094	2.6700000762939453	0.0	23.09000015258789	1.340000033378601	11.5600004196167	35.527000427246094	0.0
396.0	10.2298002243042	35.2578010559082	2.5999999046325684	0.0	26.84000015258789	1.6100000143051147	15.460000038146973	35.25899887084961	0.0
499.0	8.91100025177002	35.09360122680664	2.619999885559082	0.0	28.670000076293945	1.7599999904632568	18.34000015258789	35.10499954223633	1.0

In total, there are 11 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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