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Dataset Title:	"Deepwater CTD - d94i049.bdo.nc - 27.65N, -92.0W - 1994-07-30"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94i049_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 15.0 34.0 50.0 62.0 78.0 114.0 134.0 190.0 283.0 395.0 836.0  m	12 options
temperature	= (ANY) 5.42519998550415 9.81879997253418 12.050800323486328 14.8016996383667 16.949499130249023 18.307100296020508 20.425600051879883 21.55769920349121 22.919300079345703 28.008699417114258 29.196500778198242 29.8164005279541  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 31.375900268554688 34.91080093383789 35.09040069580078 35.20370101928711 35.520599365234375 35.832401275634766 35.9452018737793 35.94660186767578 36.125301361083984 36.26129913330078 36.30569839477539 36.362998962402344  PSU	12 options
oxygen	= (ANY) 2.680000066757202 2.7100000381469727 3.0299999713897705 3.0899999141693115 3.7899999618530273 4.130000114440918 4.710000038146973 4.769999980926514 4.909999847412109 5.039999961853027 5.070000171661377  milliliters per liter	11 options
nitrite	= (ANY) 0.019999999552965164 0.029999999329447746 0.05000000074505806 0.05999999865889549 0.07000000029802322 0.12999999523162842  micromols	6 options
nitrate	= (ANY) 0.14000000059604645 0.1599999964237213 0.18000000715255737 0.20000000298023224 0.23999999463558197 2.809999942779541 11.079999923706055 13.680000305175781 17.270000457763672 23.670000076293945 28.020000457763672 30.100000381469727  micromols	12 options
phosphate	= (ANY) 0.03999999910593033 0.05000000074505806 0.07000000029802322 0.15000000596046448 0.2199999988079071 0.7699999809265137 1.0 1.399999976158142 1.7100000381469727 1.8899999856948853  micromols	10 options
silicate	= (ANY) 0.8600000143051147 1.100000023841858 1.1399999856948853 1.149999976158142 1.4500000476837158 1.75 3.9000000953674316 4.550000190734863 6.630000114440918 10.8100004196167 15.140000343322754 25.799999237060547  micromols	12 options
salinity2	= (ANY) 31.400999069213867 34.90999984741211 35.10499954223633 35.20399856567383 35.525001525878906 35.888999938964844 35.941001892089844 35.95399856567383 36.11000061035156 36.268001556396484 36.31100082397461 36.37200164794922  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	29.196500778198242	31.375900268554688	4.710000038146973	0.029999999329447746	0.23999999463558197	0.07000000029802322	1.4500000476837158	31.400999069213867	0.0
15.0	29.8164005279541	35.09040069580078	4.769999980926514	0.019999999552965164	0.18000000715255737	0.05000000074505806	0.8600000143051147	35.10499954223633	0.0
34.0	28.008699417114258	35.832401275634766	5.039999961853027	0.019999999552965164	0.20000000298023224	0.05000000074505806	1.149999976158142	35.888999938964844	0.0
50.0	22.919300079345703	35.94660186767578	5.070000171661377	0.019999999552965164	0.1599999964237213	0.05000000074505806	1.1399999856948853	35.941001892089844	0.0
62.0	21.55769920349121	36.125301361083984	4.909999847412109	0.029999999329447746	0.14000000059604645	0.03999999910593033	1.100000023841858	36.11000061035156	0.0
78.0	20.425600051879883	36.30569839477539	4.130000114440918	0.12999999523162842	2.809999942779541	0.15000000596046448	1.75	36.31100082397461	0.0
114.0	18.307100296020508	36.362998962402344	3.0899999141693115	0.07000000029802322	11.079999923706055	0.2199999988079071	3.9000000953674316	36.37200164794922	0.0
134.0	16.949499130249023	36.26129913330078	3.0299999713897705	0.05999999865889549	13.680000305175781	0.7699999809265137	4.550000190734863	36.268001556396484	0.0
190.0	14.8016996383667	35.9452018737793	3.0899999141693115	0.05000000074505806	17.270000457763672	1.0	6.630000114440918	35.95399856567383	0.0
283.0	12.050800323486328	35.520599365234375	2.7100000381469727	0.05000000074505806	23.670000076293945	1.399999976158142	10.8100004196167	35.525001525878906	0.0
395.0	9.81879997253418	35.20370101928711	2.680000066757202	0.05999999865889549	28.020000457763672	1.7100000381469727	15.140000343322754	35.20399856567383	0.0
836.0	5.42519998550415	34.91080093383789	3.7899999618530273	0.019999999552965164	30.100000381469727	1.8899999856948853	25.799999237060547	34.90999984741211	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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