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Dataset Title:	"Deepwater CTD - d93e039.bdo.nc - 27.75N, -92.0W - 1993-04-29"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e039_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 23.0 48.0 63.0 74.0 83.0 98.0 123.0 197.0 296.0 395.0 480.0  m	12 options
temperature	= (ANY) 8.084199905395508 9.659700393676758 11.244000434875488 13.942299842834473 16.69099998474121 18.494600296020508 20.374300003051758 20.391599655151367 20.69809913635254 21.707000732421875 22.29129981994629 22.383499145507812  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.975399017333984 35.158599853515625 35.386199951171875 35.80229949951172 36.22010040283203 36.24580001831055 36.26810073852539 36.28269958496094 36.29330062866211 36.31629943847656 36.455299377441406 36.510101318359375  PSU	12 options
oxygen	= (ANY) 2.690000057220459 2.700000047683716 2.7899999618530273 2.880000114440918 3.059999942779541 3.2699999809265137 3.5399999618530273 4.420000076293945 4.940000057220459 4.980000019073486 4.989999771118164 5.010000228881836  milliliters per liter	12 options
nitrite	= (ANY) 0.019999999552965164 0.03999999910593033 0.05000000074505806 0.07000000029802322 0.1899999976158142 0.4399999976158142  micromols	6 options
nitrate	= (ANY) 0.09000000357627869 0.10000000149011612 2.2799999713897705 7.25 10.390000343322754 14.0600004196167 19.5 25.15999984741211 28.3700008392334 30.559999465942383  micromols	10 options
phosphate	= (ANY) 0.0 0.019999999552965164 0.029999999329447746 0.11999999731779099 0.3499999940395355 0.550000011920929 0.7900000214576721 1.1399999856948853 1.5399999618530273 1.7699999809265137 1.9800000190734863  micromols	11 options
silicate	= (ANY) 1.4299999475479126 1.440000057220459 1.4900000095367432 1.5199999809265137 2.130000114440918 3.299999952316284 4.21999979019165 5.869999885559082 9.180000305175781 13.899999618530273 17.5 21.15999984741211  micromols	12 options
salinity2	= (ANY) 34.98500061035156 35.15599822998047 35.391998291015625 35.8129997253418 36.21799850463867 36.24100112915039 36.2599983215332 36.277000427246094 36.290000915527344 36.34700012207031 36.45100021362305 36.518001556396484  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	22.383499145507812	36.28269958496094	4.940000057220459	0.019999999552965164	0.10000000149011612	0.0	1.4299999475479126	36.2599983215332	0.0
23.0	22.29129981994629	36.29330062866211	4.980000019073486	0.019999999552965164	0.09000000357627869	0.029999999329447746	1.5199999809265137	36.290000915527344	0.0
48.0	21.707000732421875	36.24580001831055	4.989999771118164	0.019999999552965164	0.10000000149011612	0.019999999552965164	1.440000057220459	36.24100112915039	0.0
63.0	20.69809913635254	36.26810073852539	5.010000228881836	0.05000000074505806	0.10000000149011612	0.019999999552965164	1.4900000095367432	36.277000427246094	0.0
74.0	20.391599655151367	36.31629943847656	4.420000076293945	0.4399999976158142	2.2799999713897705	0.11999999731779099	2.130000114440918	36.34700012207031	0.0
83.0	20.374300003051758	36.510101318359375	3.5399999618530273	0.1899999976158142	7.25	0.3499999940395355	3.299999952316284	36.518001556396484	0.0
98.0	18.494600296020508	36.455299377441406	3.2699999809265137	0.07000000029802322	10.390000343322754	0.550000011920929	4.21999979019165	36.45100021362305	0.0
123.0	16.69099998474121	36.22010040283203	3.059999942779541	0.03999999910593033	14.0600004196167	0.7900000214576721	5.869999885559082	36.21799850463867	0.0
197.0	13.942299842834473	35.80229949951172	2.880000114440918	0.019999999552965164	19.5	1.1399999856948853	9.180000305175781	35.8129997253418	0.0
296.0	11.244000434875488	35.386199951171875	2.690000057220459	0.019999999552965164	25.15999984741211	1.5399999618530273	13.899999618530273	35.391998291015625	0.0
395.0	9.659700393676758	35.158599853515625	2.700000047683716	0.019999999552965164	28.3700008392334	1.7699999809265137	17.5	35.15599822998047	0.0
480.0	8.084199905395508	34.975399017333984	2.7899999618530273	0.019999999552965164	30.559999465942383	1.9800000190734863	21.15999984741211	34.98500061035156	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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