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Dataset Title:	"Deepwater CTD - d94j165.bdo.nc - 27.71N, -95.5W - 1994-11-13"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j165_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 8.0 19.0 29.0 39.0 45.0 59.0 80.0 97.0 138.0 217.0 298.0  m	12 options
temperature	= (ANY) 12.800700187683105 14.480299949645996 16.78420066833496 18.621999740600586 19.938100814819336 22.394699096679688 25.289400100708008 25.304800033569336 25.37070083618164 25.570499420166016 26.533100128173828 26.737499237060547  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.92559814453125 34.93009948730469 35.17850112915039 35.64229965209961 35.74140167236328 35.89910125732422 36.229400634765625 36.23609924316406 36.268001556396484 36.308998107910156 36.39889907836914 36.40399932861328  PSU	12 options
oxygen	= (ANY) 2.700000047683716 2.7699999809265137 2.7799999713897705 2.9200000762939453 3.2100000381469727 4.150000095367432 4.239999771118164 4.46999979019165 4.610000133514404 4.659999847412109 4.670000076293945 4.690000057220459  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.03999999910593033 0.05999999865889549 0.17000000178813934 0.2199999988079071  micromols	7 options
nitrate	= (ANY) 0.03999999910593033 0.07999999821186066 0.1899999976158142 0.2199999988079071 0.36000001430511475 6.920000076293945 12.5 14.760000228881836 19.270000457763672 21.350000381469727  micromols	10 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.029999999329447746 0.03999999910593033 0.07999999821186066 0.09000000357627869 0.36000001430511475 0.6600000262260437 0.7799999713897705 1.1200000047683716 1.2699999809265137  micromols	11 options
silicate	= (ANY) 1.1699999570846558 1.5700000524520874 2.049999952316284 2.240000009536743 2.299999952316284 2.3299999237060547 2.549999952316284 2.680000066757202 4.059999942779541 4.289999961853027 6.860000133514404 8.350000381469727  micromols	12 options
salinity2	= (ANY) 34.917999267578125 34.92599868774414 35.18299865722656 35.6349983215332 35.70500183105469 35.89500045776367 36.224998474121094 36.237998962402344 36.277000427246094 36.30699920654297 36.38999938964844 36.4010009765625  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
0.0	25.289400100708008	34.92559814453125	4.690000057220459	0.019999999552965164	0.1899999976158142	0.03999999910593033	2.680000066757202	34.917999267578125	0.0
8.0	25.304800033569336	34.93009948730469	4.670000076293945	0.009999999776482582	0.03999999910593033	0.029999999329447746	2.549999952316284	34.92599868774414	0.0
19.0	25.570499420166016	35.17850112915039	4.659999847412109	0.009999999776482582	0.03999999910593033	0.009999999776482582	2.240000009536743	35.18299865722656	0.0
29.0	26.533100128173828	35.74140167236328	4.610000133514404	0.0	0.07999999821186066	0.0	1.5700000524520874	35.6349983215332	0.0
39.0	26.737499237060547	36.229400634765625	4.46999979019165	0.03999999910593033	0.07999999821186066	0.0	1.1699999570846558	36.224998474121094	0.0
45.0	25.37070083618164	36.268001556396484	4.150000095367432	0.17000000178813934	0.2199999988079071	0.07999999821186066	2.3299999237060547	36.277000427246094	0.0
59.0	22.394699096679688	36.308998107910156	4.239999771118164	0.2199999988079071	0.36000001430511475	0.09000000357627869	2.049999952316284	36.30699920654297	0.0
80.0	19.938100814819336	36.40399932861328	3.2100000381469727	0.05999999865889549	6.920000076293945	0.36000001430511475	2.299999952316284	36.4010009765625	0.0
97.0	18.621999740600586	36.39889907836914	2.700000047683716	0.03999999910593033	12.5	0.6600000262260437	4.059999942779541	36.38999938964844	0.0
138.0	16.78420066833496	36.23609924316406	2.9200000762939453	0.019999999552965164	14.760000228881836	0.7799999713897705	4.289999961853027	36.237998962402344	0.0
217.0	14.480299949645996	35.89910125732422	2.7699999809265137	0.019999999552965164	19.270000457763672	1.1200000047683716	6.860000133514404	35.89500045776367	0.0
298.0	12.800700187683105	35.64229965209961	2.7799999713897705	0.019999999552965164	21.350000381469727	1.2699999809265137	8.350000381469727	35.70500183105469	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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