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Dataset Title:	"Deepwater CTD - d94i157.bdo.nc - 26.53N, -96.33W - 1994-00-06"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94i157_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 11.0 24.0 39.0 47.0 59.0 74.0 93.0 119.0 153.0 249.0 269.0  m	12 options
temperature	= (ANY) 11.733699798583984 11.993800163269043 14.304200172424316 17.024099349975586 18.642900466918945 19.6825008392334 20.48579978942871 21.263399124145508 21.8710994720459 23.98870086669922 27.464000701904297 28.252199172973633  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.48149871826172 35.51890182495117 35.869998931884766 36.26219940185547 36.26430130004883 36.26900100708008 36.34199905395508 36.355098724365234 36.37879943847656 36.40919876098633 36.418800354003906 36.42729949951172  PSU	12 options
oxygen	= (ANY) 2.569999933242798 2.6500000953674316 2.690000057220459 2.700000047683716 2.759999990463257 3.359999895095825 3.700000047683716 4.320000171661377 4.639999866485596 4.659999847412109 4.730000019073486 5.059999942779541  milliliters per liter	12 options
nitrite	= (ANY) 0.019999999552965164 0.029999999329447746 0.05000000074505806 0.05999999865889549 0.07000000029802322 0.23999999463558197 0.4099999964237213 0.5899999737739563  micromols	8 options
nitrate	= (ANY) 0.019999999552965164 0.029999999329447746 0.09000000357627869 0.1899999976158142 3.990000009536743 5.230000019073486 11.869999885559082 14.430000305175781 19.15999984741211 23.719999313354492 24.34000015258789  micromols	11 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.03999999910593033 0.1899999976158142 0.30000001192092896 0.5699999928474426 0.7400000095367432 1.0299999713897705 1.3300000429153442 1.3799999952316284  micromols	11 options
silicate	= (ANY) 0.25 0.3799999952316284 0.6399999856948853 0.8600000143051147 1.0299999713897705 1.2400000095367432 1.850000023841858 3.2799999713897705 4.579999923706055 7.230000019073486 10.899999618530273 11.329999923706055  micromols	12 options
salinity2	= (ANY) 35.4739990234375 35.51599884033203 35.87099838256836 36.250999450683594 36.270999908447266 36.28799819946289 36.34299850463867 36.354000091552734 36.382999420166016 36.40999984741211 36.417999267578125 36.426998138427734  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	28.252199172973633	36.26219940185547	4.639999866485596	0.019999999552965164	0.09000000357627869	0.019999999552965164	1.0299999713897705	36.270999908447266	0.0
11.0	27.464000701904297	36.26900100708008	4.730000019073486	0.029999999329447746	0.09000000357627869	0.0	0.8600000143051147	36.28799819946289	0.0
24.0	23.98870086669922	36.34199905395508	5.059999942779541	0.019999999552965164	0.019999999552965164	0.009999999776482582	0.6399999856948853	36.34299850463867	0.0
39.0	21.8710994720459	36.355098724365234	4.659999847412109	0.05000000074505806	0.029999999329447746	0.019999999552965164	0.25	36.354000091552734	0.0
47.0	21.263399124145508	36.37879943847656	4.320000171661377	0.23999999463558197	0.1899999976158142	0.03999999910593033	0.3799999952316284	36.382999420166016	0.0
59.0	20.48579978942871	36.418800354003906	3.700000047683716	0.4099999964237213	3.990000009536743	0.1899999976158142	1.2400000095367432	36.417999267578125	0.0
74.0	19.6825008392334	36.42729949951172	3.359999895095825	0.5899999737739563	5.230000019073486	0.30000001192092896	1.850000023841858	36.426998138427734	0.0
93.0	18.642900466918945	36.40919876098633	2.690000057220459	0.07000000029802322	11.869999885559082	0.5699999928474426	3.2799999713897705	36.40999984741211	0.0
119.0	17.024099349975586	36.26430130004883	2.759999990463257	0.05999999865889549	14.430000305175781	0.7400000095367432	4.579999923706055	36.250999450683594	0.0
153.0	14.304200172424316	35.869998931884766	2.700000047683716	0.029999999329447746	19.15999984741211	1.0299999713897705	7.230000019073486	35.87099838256836	0.0
249.0	11.993800163269043	35.51890182495117	2.569999933242798	0.05999999865889549	23.719999313354492	1.3300000429153442	10.899999618530273	35.51599884033203	0.0
269.0	11.733699798583984	35.48149871826172	2.6500000953674316	0.05000000074505806	24.34000015258789	1.3799999952316284	11.329999923706055	35.4739990234375	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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