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Dataset Title:	"Deepwater CTD - d93f038.bdo.nc - 28.02N, -90.5W - 1993-07-28"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93f038_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 6.0 19.0 33.0 48.0 66.0 83.0 118.0 153.0 192.0 231.0 257.0  m	12 options
temperature	= (ANY) 12.144499778747559 12.269700050354004 13.361700057983398 14.645500183105469 16.503700256347656 19.569499969482422 21.208099365234375 24.27669906616211 27.614700317382812 28.677099227905273 29.466299057006836 30.903400421142578  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 25.935800552368164 32.293701171875 34.70240020751953 35.53630065917969 35.5536003112793 35.654998779296875 35.723201751708984 35.926700592041016 36.019100189208984 36.20330047607422 36.236000061035156 36.27009963989258  PSU	12 options
oxygen	= (ANY) 2.8399999141693115 2.8499999046325684 2.930000066757202 3.0199999809265137 3.0399999618530273 3.509999990463257 3.8499999046325684 4.539999961853027 4.550000190734863 4.619999885559082 4.670000076293945 4.699999809265137  milliliters per liter	12 options
nitrite	= (ANY) 0.009999999776482582 0.019999999552965164 0.07000000029802322 0.09000000357627869 0.12999999523162842  micromols	5 options
nitrate	= (ANY) 0.07999999821186066 0.10999999940395355 0.17000000178813934 0.20999999344348907 0.41999998688697815 3.2899999618530273 7.710000038146973 14.529999732971191 17.299999237060547 19.84000015258789 22.399999618530273 22.739999771118164  micromols	12 options
phosphate	= (ANY) 0.009999999776482582 0.029999999329447746 0.03999999910593033 0.1899999976158142 0.4300000071525574 0.7799999713897705 0.949999988079071 1.2000000476837158 1.350000023841858 1.3600000143051147  micromols	10 options
silicate	= (ANY) 1.9299999475479126 2.75 2.7699999809265137 3.2300000190734863 3.4100000858306885 5.590000152587891 5.659999847412109 6.809999942779541 8.65999984741211 11.319999694824219 12.5 12.9399995803833  micromols	12 options
salinity2	= (ANY) 26.219999313354492 33.14099884033203 34.78799819946289 35.53200149536133 35.54800033569336 35.715999603271484 35.87099838256836 35.92100143432617 36.00899887084961 36.1879997253418 36.21900177001953 36.26900100708008  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	30.903400421142578	25.935800552368164	4.699999809265137	0.019999999552965164	0.07999999821186066	0.009999999776482582	1.9299999475479126	26.219999313354492	0.0
6.0	29.466299057006836	32.293701171875	4.550000190734863	0.019999999552965164	0.20999999344348907	0.029999999329447746	3.2300000190734863	33.14099884033203	0.0
19.0	28.677099227905273	34.70240020751953	4.539999961853027	0.009999999776482582	0.17000000178813934	0.03999999910593033	3.4100000858306885	34.78799819946289	0.0
33.0	27.614700317382812	35.654998779296875	4.670000076293945	0.07000000029802322	0.10999999940395355	0.009999999776482582	2.75	35.87099838256836	0.0
48.0	24.27669906616211	36.236000061035156	4.619999885559082	0.12999999523162842	0.41999998688697815	0.03999999910593033	2.7699999809265137	36.21900177001953	0.0
66.0	21.208099365234375	36.019100189208984	3.8499999046325684	0.09000000357627869	3.2899999618530273	0.1899999976158142	5.590000152587891	36.00899887084961	0.0
83.0	19.569499969482422	36.27009963989258	3.509999990463257	0.07000000029802322	7.710000038146973	0.4300000071525574	5.659999847412109	36.26900100708008	0.0
118.0	16.503700256347656	36.20330047607422	3.0199999809265137	0.019999999552965164	14.529999732971191	0.7799999713897705	6.809999942779541	36.1879997253418	0.0
153.0	14.645500183105469	35.926700592041016	3.0399999618530273	0.019999999552965164	17.299999237060547	0.949999988079071	8.65999984741211	35.92100143432617	0.0
192.0	13.361700057983398	35.723201751708984	2.930000066757202	0.07000000029802322	19.84000015258789	1.2000000476837158	11.319999694824219	35.715999603271484	0.0
231.0	12.269700050354004	35.5536003112793	2.8499999046325684	0.019999999552965164	22.399999618530273	1.350000023841858	12.5	35.54800033569336	0.0
257.0	12.144499778747559	35.53630065917969	2.8399999141693115	0.009999999776482582	22.739999771118164	1.3600000143051147	12.9399995803833	35.53200149536133	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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