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Dataset Title:	"Deepwater CTD - d93e205.bdo.nc - 27.28N, -96.25W - 1993-05-00"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e205_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 8.0 18.0 27.0 38.0 47.0 61.0 77.0 98.0 127.0 147.0 203.0  m	12 options
temperature	= (ANY) 13.944199562072754 14.586999893188477 14.785400390625 16.5492000579834 18.681800842285156 20.763999938964844 22.313100814819336 23.11240005493164 24.16390037536621 24.21310043334961 24.5226993560791 24.590099334716797  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 33.94110107421875 33.982200622558594 34.65599822998047 35.81850051879883 35.91579818725586 35.945499420166016 36.02429962158203 36.089900970458984 36.159698486328125 36.19850158691406 36.34550094604492 36.419700622558594  PSU	12 options
oxygen	= (ANY) 2.640000104904175 2.6600000858306885 2.690000057220459 2.809999942779541 2.930000066757202 3.630000114440918 4.400000095367432 4.630000114440918 4.739999771118164 4.809999942779541 4.829999923706055  milliliters per liter	11 options
nitrite	= (ANY) 0.07000000029802322 0.07999999821186066 0.09000000357627869 0.10999999940395355 0.1899999976158142 0.23000000417232513 0.46000000834465027  micromols	7 options
nitrate	= (ANY) 0.0 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.5600000023841858 5.590000152587891 11.510000228881836 15.5 18.799999237060547 19.049999237060547 20.219999313354492  micromols	11 options
phosphate	= (ANY) 0.009999999776482582 0.029999999329447746 0.07000000029802322 0.30000001192092896 0.5799999833106995 0.8199999928474426 1.059999942779541 1.1100000143051147 1.2000000476837158  micromols	9 options
silicate	= (ANY) 1.2599999904632568 1.5199999809265137 1.9299999475479126 2.0299999713897705 2.5199999809265137 2.5899999141693115 3.390000104904175 4.21999979019165 5.789999961853027 7.639999866485596 7.889999866485596 8.760000228881836  micromols	12 options
salinity2	= (ANY) 33.94499969482422 34.00400161743164 35.05799865722656 35.83300018310547 35.91999816894531 35.95000076293945 36.055999755859375 36.106998443603516 36.167999267578125 36.209999084472656 36.349998474121094 36.422000885009766  PSU	12 options
qualityFlag	= (ANY) 0.0 1.0	2 options

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	24.590099334716797	33.94110107421875	4.739999771118164	0.07000000029802322	0.03999999910593033	0.009999999776482582	2.5899999141693115	33.94499969482422	0.0
8.0	24.5226993560791	33.982200622558594	4.829999923706055	0.07000000029802322	0.03999999910593033	0.009999999776482582	2.5199999809265137	34.00400161743164	0.0
18.0	24.21310043334961	34.65599822998047	4.809999942779541	0.07000000029802322	0.029999999329447746	0.009999999776482582	2.0299999713897705	35.05799865722656	0.0
27.0	24.16390037536621	36.02429962158203	4.809999942779541	0.07999999821186066	0.019999999552965164	0.009999999776482582	1.2599999904632568	36.055999755859375	0.0
38.0	23.11240005493164	36.089900970458984	4.630000114440918	0.1899999976158142	0.0	0.029999999329447746	1.5199999809265137	36.106998443603516	0.0
47.0	22.313100814819336	36.159698486328125	4.400000095367432	0.46000000834465027	0.5600000023841858	0.07000000029802322	1.9299999475479126	36.167999267578125	0.0
61.0	20.763999938964844	36.34550094604492	3.630000114440918	0.23000000417232513	5.590000152587891	0.30000001192092896	3.390000104904175	36.349998474121094	0.0
77.0	18.681800842285156	36.419700622558594	2.930000066757202	0.10999999940395355	11.510000228881836	0.5799999833106995	4.21999979019165	36.422000885009766	0.0
98.0	16.5492000579834	36.19850158691406	2.809999942779541	0.09000000357627869	15.5	0.8199999928474426	5.789999961853027	36.209999084472656	0.0
127.0	14.785400390625	35.945499420166016	2.690000057220459	0.07999999821186066	18.799999237060547	1.059999942779541	7.639999866485596	35.95000076293945	0.0
147.0	14.586999893188477	35.91579818725586	2.6600000858306885	0.09000000357627869	19.049999237060547	1.1100000143051147	7.889999866485596	35.91999816894531	0.0
203.0	13.944199562072754	35.81850051879883	2.640000104904175	0.10999999940395355	20.219999313354492	1.2000000476837158	8.760000228881836	35.83300018310547	1.0

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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