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Dataset Title:	"Deepwater CTD - d92a050.bdo.nc - 27.75N, -92.0W - 1992-05-04"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d92a050_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) 0.0 19.0 38.0 59.0 78.0 98.0 123.0 148.0 197.0 297.0 396.0 480.0  m	12 options
temperature	= (ANY) 8.043600082397461 9.506999969482422 11.468899726867676 14.371899604797363 16.28820037841797 17.472700119018555 19.040300369262695 19.910200119018555 20.352699279785156 21.126699447631836 22.58690071105957 23.14739990234375  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.00450134277344 35.165199279785156 35.433998107910156 35.62730026245117 35.884300231933594 36.035301208496094 36.1786994934082 36.22909927368164 36.243499755859375 36.33689880371094 36.36249923706055 36.46160125732422  PSU	12 options
oxygen	= (ANY) 2.630000114440918 2.6700000762939453 2.75 2.8499999046325684 2.9700000286102295 3.819999933242798 4.96999979019165 4.989999771118164 5.050000190734863 5.179999828338623  milliliters per liter	10 options
nitrite	= (ANY) 0.03999999910593033 0.07000000029802322 0.07999999821186066 0.10999999940395355 0.1599999964237213  micromols	5 options
nitrate	= (ANY) 0.3700000047683716 0.3799999952316284 0.38999998569488525 5.690000057220459 11.029999732971191 13.5600004196167 15.079999923706055 18.790000915527344 24.719999313354492 28.350000381469727 30.3700008392334  micromols	11 options
phosphate	= (ANY) 0.03999999910593033 0.30000001192092896 0.6000000238418579 0.7699999809265137 0.8799999952316284 1.1299999952316284 1.5399999618530273 1.7999999523162842 1.9600000381469727  micromols	9 options
silicate	= (ANY) 0.25999999046325684 0.3199999928474426 0.7799999713897705 0.9900000095367432 1.5399999618530273 3.140000104904175 4.190000057220459 5.099999904632568 7.510000228881836 12.520000457763672 16.950000762939453 20.969999313354492  micromols	12 options
salinity2	= (ANY) 35.005001068115234 35.165000915527344 35.43199920654297 35.6609992980957 35.86899948120117 36.07400131225586 36.17399978637695 36.19599914550781 36.231998443603516 36.32600021362305 36.374000549316406 36.457000732421875  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
0.0	23.14739990234375	35.62730026245117	4.96999979019165	0.03999999910593033	0.38999998569488525	0.03999999910593033	0.9900000095367432	35.6609992980957	0.0
19.0	22.58690071105957	36.035301208496094	5.050000190734863	0.03999999910593033	0.3799999952316284	0.03999999910593033	0.7799999713897705	36.07400131225586	0.0
38.0	21.126699447631836	36.22909927368164	5.179999828338623	0.03999999910593033	0.3799999952316284	0.03999999910593033	0.3199999928474426	36.231998443603516	0.0
59.0	20.352699279785156	36.243499755859375	4.989999771118164	0.03999999910593033	0.3700000047683716	0.03999999910593033	0.25999999046325684	36.19599914550781	0.0
78.0	19.910200119018555	36.36249923706055	3.819999933242798	0.1599999964237213	5.690000057220459	0.30000001192092896	1.5399999618530273	36.374000549316406	0.0
98.0	19.040300369262695	36.46160125732422	2.9700000286102295	0.10999999940395355	11.029999732971191	0.6000000238418579	3.140000104904175	36.457000732421875	0.0
123.0	17.472700119018555	36.33689880371094	2.9700000286102295	0.07000000029802322	13.5600004196167	0.7699999809265137	4.190000057220459	36.32600021362305	0.0
148.0	16.28820037841797	36.1786994934082	2.9700000286102295	0.07000000029802322	15.079999923706055	0.8799999952316284	5.099999904632568	36.17399978637695	0.0
197.0	14.371899604797363	35.884300231933594	2.8499999046325684	0.07000000029802322	18.790000915527344	1.1299999952316284	7.510000228881836	35.86899948120117	0.0
297.0	11.468899726867676	35.433998107910156	2.6700000762939453	0.07999999821186066	24.719999313354492	1.5399999618530273	12.520000457763672	35.43199920654297	0.0
396.0	9.506999969482422	35.165199279785156	2.630000114440918	0.07999999821186066	28.350000381469727	1.7999999523162842	16.950000762939453	35.165000915527344	0.0
480.0	8.043600082397461	35.00450134277344	2.75	0.07999999821186066	30.3700008392334	1.9600000381469727	20.969999313354492	35.005001068115234	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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