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Dataset Title:	"Deepwater CTD - d93g188.bdo.nc - 27.1N, -96.21W - 1993-11-19"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g188_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 14.0 27.0 39.0 49.0 59.0 79.0 99.0 148.0 223.0 322.0 440.0  m	12 options
temperature	= (ANY) 9.56719970703125 11.696499824523926 13.899399757385254 16.53809928894043 19.784400939941406 21.832799911499023 23.674999237060547 23.71929931640625 24.047300338745117 24.153900146484375 24.199100494384766 24.308700561523438  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.16899871826172 35.37710189819336 35.431400299072266 35.464900970458984 35.72829818725586 35.80400085449219 35.86640167236328 35.93230056762695 36.12689971923828 36.19850158691406 36.308799743652344 36.41740036010742  PSU	12 options
oxygen	= (ANY) 2.619999885559082 2.680000066757202 2.740000009536743 2.799999952316284 3.0199999809265137 4.179999828338623 4.789999961853027 4.829999923706055 4.900000095367432 4.960000038146973 5.010000228881836 5.099999904632568  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.029999999329447746 0.05999999865889549 0.07999999821186066 0.11999999731779099 0.25  micromols	7 options
nitrate	= (ANY) 0.11999999731779099 0.15000000596046448 0.1599999964237213 0.27000001072883606 0.8600000143051147 8.470000267028809 15.010000228881836 19.6200008392334 23.6299991607666 27.520000457763672  micromols	10 options
phosphate	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05999999865889549 0.4300000071525574 0.8299999833106995 1.1399999856948853 1.4199999570846558 1.7000000476837158  micromols	9 options
silicate	= (ANY) 2.309999942779541 2.859999895095825 2.869999885559082 2.9600000381469727 3.0199999809265137 3.190000057220459 3.369999885559082 3.740000009536743 5.619999885559082 8.40999984741211 11.880000114440918 16.610000610351562  micromols	12 options
salinity2	= (ANY) 35.17300033569336 35.37900161743164 35.433998107910156 35.45899963378906 35.72999954223633 35.79100036621094 35.86899948120117 35.926998138427734 36.13800048828125 36.19200134277344 36.31800079345703 36.42499923706055  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	23.71929931640625	35.37710189819336	5.099999904632568	0.0	0.11999999731779099	0.03999999910593033	3.369999885559082	35.37900161743164	0.0
14.0	23.674999237060547	35.431400299072266	4.960000038146973	0.009999999776482582	0.15000000596046448	0.029999999329447746	3.190000057220459	35.433998107910156	0.0
27.0	24.047300338745117	35.72829818725586	4.829999923706055	0.029999999329447746	0.1599999964237213	0.019999999552965164	3.0199999809265137	35.72999954223633	0.0
39.0	24.153900146484375	35.86640167236328	4.789999961853027	0.05999999865889549	0.1599999964237213	0.019999999552965164	2.9600000381469727	35.86899948120117	0.0
49.0	24.199100494384766	35.93230056762695	5.010000228881836	0.07999999821186066	0.11999999731779099	0.029999999329447746	2.869999885559082	35.926998138427734	0.0
59.0	24.308700561523438	36.12689971923828	4.900000095367432	0.25	0.27000001072883606	0.029999999329447746	2.859999895095825	36.13800048828125	0.0
79.0	21.832799911499023	36.308799743652344	4.179999828338623	0.11999999731779099	0.8600000143051147	0.05999999865889549	2.309999942779541	36.31800079345703	0.0
99.0	19.784400939941406	36.41740036010742	3.0199999809265137	0.029999999329447746	8.470000267028809	0.4300000071525574	3.740000009536743	36.42499923706055	0.0
148.0	16.53809928894043	36.19850158691406	2.799999952316284	0.009999999776482582	15.010000228881836	0.8299999833106995	5.619999885559082	36.19200134277344	0.0
223.0	13.899399757385254	35.80400085449219	2.740000009536743	0.009999999776482582	19.6200008392334	1.1399999856948853	8.40999984741211	35.79100036621094	0.0
322.0	11.696499824523926	35.464900970458984	2.680000066757202	0.009999999776482582	23.6299991607666	1.4199999570846558	11.880000114440918	35.45899963378906	0.0
440.0	9.56719970703125	35.16899871826172	2.619999885559082	0.009999999776482582	27.520000457763672	1.7000000476837158	16.610000610351562	35.17300033569336	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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