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Dataset Title:	"Deepwater CTD - d93f198.bdo.nc - 26.01N, -96.24W - 1993-00-05"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93f198_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 14.0 24.0 40.0 54.0 63.0 73.0 88.0 119.0 148.0 296.0 495.0  m	12 options
temperature	= (ANY) 8.084400177001953 11.05049991607666 16.583099365234375 17.29949951171875 19.39780044555664 21.58989906311035 23.23780059814453 24.62459945678711 26.39310073852539 29.100400924682617 29.197500228881836 29.483400344848633  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.020198822021484 35.38639831542969 35.86520004272461 35.940101623535156 35.94990158081055 36.112998962402344 36.1953010559082 36.22560119628906 36.23860168457031 36.27980041503906 36.31999969482422 36.423099517822266  PSU	12 options
oxygen	= (ANY) 2.559999942779541 2.680000066757202 2.950000047683716 3.049999952316284 3.2899999618530273 4.659999847412109 4.670000076293945 4.760000228881836 5.03000020980835 5.119999885559082 5.260000228881836  milliliters per liter	11 options
nitrite	= (ANY) 0.019999999552965164 0.029999999329447746 0.09000000357627869 0.17000000178813934  micromols	4 options
nitrate	= (ANY) 0.07999999821186066 0.09000000357627869 0.1599999964237213 0.25 8.739999771118164 13.399999618530273 13.920000076293945 25.6299991607666 30.200000762939453 30.239999771118164  micromols	10 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.4699999988079071 0.7300000190734863 0.7699999809265137 1.5399999618530273 1.850000023841858 1.899999976158142  micromols	10 options
silicate	= (ANY) 1.7699999809265137 1.7999999523162842 2.0799999237060547 2.309999942779541 2.390000104904175 2.740000009536743 3.940000057220459 5.070000171661377 5.340000152587891 13.569999694824219 20.31999969482422 20.399999618530273  micromols	12 options
salinity2	= (ANY) 35.02199935913086 35.382999420166016 35.86899948120117 35.9370002746582 35.957000732421875 36.09299850463867 36.194000244140625 36.2239990234375 36.27299880981445 36.284000396728516 36.319000244140625 36.42300033569336  PSU	12 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
0.0	29.483400344848633	35.86520004272461	4.659999847412109	0.019999999552965164	0.1599999964237213	0.03999999910593033	2.740000009536743	35.86899948120117	0.0
14.0	29.197500228881836	35.940101623535156	4.670000076293945	0.019999999552965164	0.09000000357627869	0.029999999329447746	2.390000104904175	35.9370002746582	0.0
24.0	29.100400924682617	35.94990158081055	4.670000076293945	0.019999999552965164	0.09000000357627869	0.009999999776482582	2.309999942779541	35.957000732421875	0.0
40.0	26.39310073852539	36.112998962402344	5.119999885559082	0.029999999329447746	0.07999999821186066	0.019999999552965164	2.0799999237060547	36.09299850463867	0.0
54.0	24.62459945678711	36.27980041503906	5.260000228881836	0.029999999329447746	0.07999999821186066	0.009999999776482582	1.7699999809265137	36.284000396728516	0.0
63.0	23.23780059814453	36.23860168457031	5.03000020980835	0.09000000357627869	0.25	0.03999999910593033	1.7999999523162842	36.27299880981445	0.0
73.0	21.58989906311035	36.1953010559082	4.760000228881836	0.17000000178813934	8.739999771118164	0.4699999988079071	3.940000057220459	36.194000244140625	0.0
88.0	19.39780044555664	36.423099517822266	3.2899999618530273	0.029999999329447746	13.399999618530273	0.7300000190734863	5.070000171661377	36.42300033569336	0.0
119.0	17.29949951171875	36.31999969482422	2.950000047683716	0.029999999329447746	13.920000076293945	0.7699999809265137	5.340000152587891	36.319000244140625	0.0
148.0	16.583099365234375	36.22560119628906	3.049999952316284	0.029999999329447746	25.6299991607666	1.5399999618530273	13.569999694824219	36.2239990234375	0.0
296.0	11.05049991607666	35.38639831542969	2.559999942779541	0.029999999329447746	30.200000762939453	1.850000023841858	20.31999969482422	35.382999420166016	1.0
495.0	8.084400177001953	35.020198822021484	2.680000066757202	0.029999999329447746	30.239999771118164	1.899999976158142	20.399999618530273	35.02199935913086	1.0

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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