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Dataset Title:	"Deepwater CTD - d93g190.bdo.nc - 27.13N, -96.34W - 1993-11-19"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g190_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: 12)
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 9.0 19.0 29.0 38.0 48.0 58.0 74.0 98.0 123.0 172.0 219.0  m	12 options
temperature	= (ANY) 14.77910041809082 16.05929946899414 17.775100708007812 19.087900161743164 21.172300338745117 22.763900756835938 23.18239974975586 23.327199935913086 23.545299530029297 23.559799194335938 23.718399047851562 23.866100311279297  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.85580062866211 35.036399841308594 35.245399475097656 35.29209899902344 35.625701904296875 35.94260025024414 36.13359832763672 36.1422004699707 36.23849868774414 36.330101013183594 36.3302001953125 36.44820022583008  PSU	12 options
oxygen	= (ANY) 2.799999952316284 2.869999885559082 2.9100000858306885 3.4600000381469727 3.859999895095825 4.010000228881836 4.610000133514404 4.869999885559082 4.920000076293945 4.980000019073486 5.019999980926514  milliliters per liter	11 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.05999999865889549 0.07000000029802322 0.12999999523162842  micromols	7 options
nitrate	= (ANY) 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.699999988079071 2.3499999046325684 2.9700000286102295 4.880000114440918 10.989999771118164 12.930000305175781 15.010000228881836 17.110000610351562  micromols	11 options
phosphate	= (ANY) 0.029999999329447746 0.03999999910593033 0.07000000029802322 0.15000000596046448 0.20000000298023224 0.27000001072883606 0.5400000214576721 0.7099999785423279 0.8399999737739563 0.9900000095367432  micromols	10 options
silicate	= (ANY) 2.9200000762939453 3.059999942779541 3.1600000858306885 3.200000047683716 3.380000114440918 3.940000057220459 4.010000228881836 4.139999866485596 4.199999809265137 5.71999979019165 6.28000020980835 7.730000019073486  micromols	12 options
salinity2	= (ANY) 34.861000061035156 35.0359992980957 35.242000579833984 35.301998138427734 35.6609992980957 35.946998596191406 36.13199996948242 36.16299819946289 36.244998931884766 36.33000183105469 36.3380012512207 36.45000076293945  PSU	12 options
qualityFlag	= (ANY) 0.0	1 option: 0.0

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	23.18239974975586	34.85580062866211	5.019999980926514	0.0	0.03999999910593033	0.029999999329447746	3.380000114440918	34.861000061035156	0.0
9.0	23.327199935913086	35.036399841308594	4.980000019073486	0.0	0.05000000074505806	0.029999999329447746	3.1600000858306885	35.0359992980957	0.0
19.0	23.559799194335938	35.245399475097656	4.920000076293945	0.0	0.05000000074505806	0.029999999329447746	3.059999942779541	35.242000579833984	0.0
29.0	23.545299530029297	35.29209899902344	4.869999885559082	0.019999999552965164	0.05999999865889549	0.03999999910593033	2.9200000762939453	35.301998138427734	0.0
38.0	23.866100311279297	35.625701904296875	4.610000133514404	0.12999999523162842	0.699999988079071	0.07000000029802322	3.200000047683716	35.6609992980957	0.0
48.0	23.718399047851562	36.1422004699707	4.010000228881836	0.07000000029802322	2.3499999046325684	0.15000000596046448	3.940000057220459	36.16299819946289	0.0
58.0	22.763900756835938	36.23849868774414	3.859999895095825	0.05999999865889549	2.9700000286102295	0.20000000298023224	4.199999809265137	36.244998931884766	0.0
74.0	21.172300338745117	36.3302001953125	3.4600000381469727	0.029999999329447746	4.880000114440918	0.27000001072883606	4.010000228881836	36.3380012512207	0.0
98.0	19.087900161743164	36.44820022583008	2.799999952316284	0.019999999552965164	10.989999771118164	0.5400000214576721	4.139999866485596	36.45000076293945	0.0
123.0	17.775100708007812	36.330101013183594	2.799999952316284	0.019999999552965164	12.930000305175781	0.7099999785423279	5.71999979019165	36.33000183105469	0.0
172.0	16.05929946899414	36.13359832763672	2.9100000858306885	0.009999999776482582	15.010000228881836	0.8399999737739563	6.28000020980835	36.13199996948242	0.0
219.0	14.77910041809082	35.94260025024414	2.869999885559082	0.009999999776482582	17.110000610351562	0.9900000095367432	7.730000019073486	35.946998596191406	0.0

In total, there are 12 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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