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Dataset Title:	"Deepwater CTD - d94h054.bdo.nc - 27.75N, -93.0W - 1994-04-29"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94h054_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) 1.0 25.0 45.0 62.0 71.0 80.0 95.0 115.0 135.0 150.0 194.0 202.0  m	12 options
temperature	= (ANY) 15.950499534606934 16.23819923400879 16.99489974975586 17.827699661254883 18.611499786376953 19.74250030517578 20.30660057067871 21.123199462890625 21.174299240112305 21.860000610351562 22.372699737548828 24.29640007019043  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.92900085449219 36.12220001220703 36.16279983520508 36.212398529052734 36.213401794433594 36.26679992675781 36.28179931640625 36.36009979248047 36.38759994506836 36.415199279785156 36.42639923095703 36.44160079956055  PSU	12 options
oxygen	= (ANY) 2.9800000190734863 3.140000104904175 3.1700000762939453 3.309999942779541 3.7699999809265137 4.309999942779541 4.5 4.860000133514404 5.010000228881836 5.019999980926514  milliliters per liter	10 options
nitrite	= (ANY) 0.019999999552965164 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.07000000029802322 0.11999999731779099 0.1899999976158142  micromols	7 options
nitrate	= (ANY) 0.03999999910593033 0.05999999865889549 0.07999999821186066 1.809999942779541 3.3299999237060547 6.210000038146973 9.720000267028809 11.680000305175781 12.90999984741211 14.760000228881836 15.289999961853027  micromols	11 options
phosphate	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.10000000149011612 0.17000000178813934 0.3199999928474426 0.5299999713897705 0.6399999856948853 0.7400000095367432 0.8399999737739563 0.8799999952316284  micromols	11 options
silicate	= (ANY) 1.8600000143051147 2.1600000858306885 2.2799999713897705 2.3499999046325684 2.430000066757202 2.700000047683716 3.5 5.130000114440918 5.53000020980835 6.190000057220459 6.989999771118164 7.460000038146973  micromols	12 options
salinity2	= (ANY) 35.930999755859375 36.13600158691406 36.16600036621094 36.21099853515625 36.22700119018555 36.2760009765625 36.290000915527344 36.37099838256836 36.39400100708008 36.41299819946289 36.43000030517578 36.4370002746582  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
1.0	24.29640007019043	35.92900085449219	4.860000133514404	0.019999999552965164	0.07999999821186066	0.03999999910593033	2.2799999713897705	35.930999755859375	0.0
25.0	22.372699737548828	36.212398529052734	5.010000228881836	0.019999999552965164	0.03999999910593033	0.029999999329447746	2.1600000858306885	36.21099853515625	0.0
45.0	21.860000610351562	36.28179931640625	5.019999980926514	0.019999999552965164	0.03999999910593033	0.019999999552965164	1.8600000143051147	36.290000915527344	0.0
62.0	21.174299240112305	36.213401794433594	5.010000228881836	0.019999999552965164	0.05999999865889549	0.029999999329447746	2.3499999046325684	36.22700119018555	0.0
71.0	21.123199462890625	36.44160079956055	4.5	0.1899999976158142	1.809999942779541	0.10000000149011612	2.430000066757202	36.4370002746582	0.0
80.0	20.30660057067871	36.38759994506836	4.309999942779541	0.11999999731779099	3.3299999237060547	0.17000000178813934	2.700000047683716	36.39400100708008	0.0
95.0	19.74250030517578	36.42639923095703	3.7699999809265137	0.07000000029802322	6.210000038146973	0.3199999928474426	3.5	36.43000030517578	0.0
115.0	18.611499786376953	36.415199279785156	3.309999942779541	0.05999999865889549	9.720000267028809	0.5299999713897705	5.130000114440918	36.41299819946289	0.0
135.0	17.827699661254883	36.36009979248047	3.1700000762939453	0.03999999910593033	11.680000305175781	0.6399999856948853	5.53000020980835	36.37099838256836	0.0
150.0	16.99489974975586	36.26679992675781	3.140000104904175	0.03999999910593033	12.90999984741211	0.7400000095367432	6.190000057220459	36.2760009765625	0.0
194.0	16.23819923400879	36.16279983520508	2.9800000190734863	0.03999999910593033	14.760000228881836	0.8399999737739563	6.989999771118164	36.16600036621094	0.0
202.0	15.950499534606934	36.12220001220703	2.9800000190734863	0.05000000074505806	15.289999961853027	0.8799999952316284	7.460000038146973	36.13600158691406	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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