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Dataset Title:	"Deepwater CTD - d92b101.bdo.nc - 27.55N, -93.0W - 1992-00-07"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d92b101_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: 21)
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 19.0 38.0 75.0 98.0 148.0 198.0 297.0 396.0 495.0 594.0 654.0  m	12 options
temperature	= (ANY) 6.651299953460693 7.212200164794922 8.174200057983398 9.917200088500977 11.833100318908691 14.564399719238281 16.258899688720703 18.284900665283203 20.186899185180664 24.635400772094727 28.579299926757812 30.188499450683594  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.90769958496094 34.93519973754883 35.00960159301758 35.212799072265625 35.3224983215332 35.485801696777344 35.90810012817383 36.17770004272461 36.2317008972168 36.38589859008789 36.43450164794922 36.50559997558594  PSU	12 options
oxygen	= (ANY) 2.5899999141693115 2.5999999046325684 2.609999895095825 2.619999885559082 2.680000066757202 2.859999895095825 2.869999885559082 2.890000104904175 2.9000000953674316 3.0199999809265137 3.0299999713897705 3.2200000286102295 3.25 3.259999990463257 3.5399999618530273 4.460000038146973 4.489999771118164 4.78000020980835 4.800000190734863 5.130000114440918 5.170000076293945  milliliters per liter	21 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.029999999329447746 0.05999999865889549 0.09000000357627869 0.10999999940395355 0.14000000059604645 0.20999999344348907 0.2199999988079071 0.28999999165534973  micromols	10 options
nitrate	= (ANY) 0.07000000029802322 0.09000000357627869 0.10000000149011612 5.53000020980835 10.630000114440918 13.199999809265137 17.309999465942383 23.25 24.229999542236328 28.8700008392334 29.719999313354492 29.780000686645508  micromols	12 options
phosphate	= (ANY) 0.0 0.019999999552965164 0.029999999329447746 0.25999999046325684 0.5899999737739563 0.7900000214576721 1.0800000429153442 1.5199999809265137 1.7799999713897705 1.9900000095367432 2.069999933242798 2.0899999141693115  micromols	12 options
silicate	= (ANY) 0.09000000357627869 0.550000011920929 1.0399999618530273 1.2400000095367432 2.3399999141693115 3.490000009536743 5.860000133514404 10.279999732971191 14.350000381469727 18.989999771118164 21.010000228881836 21.959999084472656  micromols	12 options
salinity2	= (ANY) 34.915000915527344 34.939998626708984 35.0099983215332 35.2130012512207 35.391998291015625 35.47700119018555 35.893001556396484 36.15299987792969 36.233001708984375 36.382999420166016 36.404998779296875 36.487998962402344  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	30.188499450683594	35.3224983215332	4.460000038146973	0.09000000357627869	0.07000000029802322	0.0	1.2400000095367432	35.391998291015625	0.0
0.0	30.188499450683594	35.3224983215332	4.489999771118164	0.09000000357627869	0.07000000029802322	0.0	1.2400000095367432	35.391998291015625	0.0
19.0	28.579299926757812	36.2317008972168	4.78000020980835	0.029999999329447746	0.09000000357627869	0.019999999552965164	0.550000011920929	36.233001708984375	0.0
19.0	28.579299926757812	36.2317008972168	4.800000190734863	0.029999999329447746	0.09000000357627869	0.019999999552965164	0.550000011920929	36.233001708984375	0.0
38.0	24.635400772094727	36.38589859008789	5.130000114440918	0.0	0.10000000149011612	0.029999999329447746	0.09000000357627869	36.382999420166016	0.0
38.0	24.635400772094727	36.38589859008789	5.170000076293945	0.0	0.10000000149011612	0.029999999329447746	0.09000000357627869	36.382999420166016	0.0
75.0	20.186899185180664	36.50559997558594	3.5399999618530273	0.14000000059604645	5.53000020980835	0.25999999046325684	1.0399999618530273	36.487998962402344	0.0
98.0	18.284900665283203	36.43450164794922	3.2200000286102295	0.009999999776482582	10.630000114440918	0.5899999737739563	2.3399999141693115	36.404998779296875	0.0
148.0	16.258899688720703	36.17770004272461	3.25	0.029999999329447746	13.199999809265137	0.7900000214576721	3.490000009536743	36.15299987792969	0.0
148.0	16.258899688720703	36.17770004272461	3.259999990463257	0.029999999329447746	13.199999809265137	0.7900000214576721	3.490000009536743	36.15299987792969	0.0
198.0	14.564399719238281	35.90810012817383	2.890000104904175	0.05999999865889549	17.309999465942383	1.0800000429153442	5.860000133514404	35.893001556396484	0.0
198.0	14.564399719238281	35.90810012817383	2.9000000953674316	0.05999999865889549	17.309999465942383	1.0800000429153442	5.860000133514404	35.893001556396484	0.0
297.0	11.833100318908691	35.485801696777344	2.609999895095825	0.10999999940395355	23.25	1.5199999809265137	10.279999732971191	35.47700119018555	0.0
297.0	11.833100318908691	35.485801696777344	2.619999885559082	0.10999999940395355	23.25	1.5199999809265137	10.279999732971191	35.47700119018555	0.0
396.0	9.917200088500977	35.212799072265625	2.5899999141693115	0.28999999165534973	24.229999542236328	1.7799999713897705	14.350000381469727	35.2130012512207	0.0
396.0	9.917200088500977	35.212799072265625	2.5999999046325684	0.28999999165534973	24.229999542236328	1.7799999713897705	14.350000381469727	35.2130012512207	0.0
495.0	8.174200057983398	35.00960159301758	2.680000066757202	0.20999999344348907	28.8700008392334	1.9900000095367432	18.989999771118164	35.0099983215332	0.0
594.0	7.212200164794922	34.93519973754883	2.859999895095825	0.2199999988079071	29.780000686645508	2.069999933242798	21.010000228881836	34.939998626708984	0.0
594.0	7.212200164794922	34.93519973754883	2.869999885559082	0.2199999988079071	29.780000686645508	2.069999933242798	21.010000228881836	34.939998626708984	0.0
654.0	6.651299953460693	34.90769958496094	3.0199999809265137	0.28999999165534973	29.719999313354492	2.0899999141693115	21.959999084472656	34.915000915527344	0.0
654.0	6.651299953460693	34.90769958496094	3.0299999713897705	0.28999999165534973	29.719999313354492	2.0899999141693115	21.959999084472656	34.915000915527344	0.0

In total, there are 21 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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