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Dataset Title:	"Deepwater CTD - 00596574.bdo.nc - 23.19N, -83.97W - 1970-04-15"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00596574_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: 28)
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 10.0 40.0 75.0 99.0 119.0 139.0 159.0 179.0 199.0 229.0 259.0 299.0 348.0 398.0 448.0 497.0 547.0 625.0 795.0 989.0 1184.0 1478.0 1771.0 2066.0 2265.0 2513.0 2563.0  m	28 options
temperature	= (ANY) 4.199999809265137 4.21999979019165 4.260000228881836 4.449999809265137 4.860000133514404 5.900000095367432 7.460000038146973 8.600000381469727 9.680000305175781 10.779999732971191 12.420000076293945 14.140000343322754 15.960000038146973 17.100000381469727 19.219999313354492 19.559999465942383 21.059999465942383 22.200000762939453 23.760000228881836 24.799999237060547 25.18000030517578 25.920000076293945 26.440000534057617 26.579999923706055 26.950000762939453  degree_C	25 options
salinity	= (ANY) 34.882999420166016 34.91699981689453 34.93199920654297 34.959999084472656 34.97200012207031 34.97999954223633 34.986000061035156 34.987998962402344 34.98899841308594 34.992000579833984 35.018001556396484 35.14699935913086 35.30099868774414 35.54999923706055 35.803001403808594 35.805999755859375 35.810001373291016 35.81700134277344 35.97700119018555 36.0260009765625 36.12300109863281 36.236000061035156 36.36600112915039 36.45000076293945 36.56100082397461 36.624000549316406 36.707000732421875 36.733001708984375  PSU	28 options
oxygen	= (ANY) 2.759999990463257 2.799999952316284 2.809999942779541 2.940000057220459 3.0399999618530273 3.2200000286102295 3.3399999141693115 3.440000057220459 3.559999942779541 3.6500000953674316 3.690000057220459 3.75 3.8299999237060547 4.0 4.199999809265137 4.28000020980835 4.420000076293945 4.539999961853027 4.710000038146973 4.739999771118164 4.760000228881836 4.78000020980835 5.0 5.130000114440918 5.210000038146973 5.380000114440918 5.389999866485596  milliliters per liter	27 options
nitrite	= (ANY)  not-measured	1 option:
nitrate	= (ANY)  not-measured	1 option:
phosphate	= (ANY)  not-measured	1 option:
silicate	= (ANY) 1.0 2.0 4.0 7.0 10.0 12.0 15.0 17.0 18.0 20.0 21.0 23.0 24.0 25.0  micromols	14 options
salinity2	= (ANY)  PSU	1 option:
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	PSU	milliliters per liter	not-measured	not-measured	not-measured	micromols	PSU
0.0	26.950000762939453	35.805999755859375	4.760000228881836				1.0		0.0
10.0	26.579999923706055	35.803001403808594	4.78000020980835				1.0		0.0
40.0	26.440000534057617	35.810001373291016	4.539999961853027				1.0		0.0
75.0	25.920000076293945	35.97700119018555	4.710000038146973				1.0		0.0
99.0	25.18000030517578	36.0260009765625	4.420000076293945				1.0		0.0
119.0	24.799999237060547	36.36600112915039	4.199999809265137				1.0		0.0
139.0	23.760000228881836	36.624000549316406	3.8299999237060547				1.0		0.0
159.0	22.200000762939453	36.733001708984375	3.440000057220459				2.0		0.0
179.0	21.059999465942383	36.707000732421875	3.75				2.0		0.0
199.0	19.559999465942383	36.45000076293945	4.0				2.0		0.0
229.0	19.219999313354492	36.56100082397461	3.690000057220459				2.0		0.0
259.0	17.100000381469727	36.236000061035156	3.3399999141693115				4.0		0.0
299.0	15.960000038146973	36.12300109863281	3.6500000953674316				4.0		0.0
348.0	14.140000343322754	35.81700134277344	3.0399999618530273				7.0		0.0
398.0	12.420000076293945	35.54999923706055	3.2200000286102295				10.0		0.0
448.0	10.779999732971191	35.30099868774414	2.809999942779541				12.0		0.0
497.0	9.680000305175781	35.14699935913086	2.759999990463257				15.0		0.0
547.0	8.600000381469727	35.018001556396484	2.799999952316284				17.0		0.0
625.0	7.460000038146973	34.91699981689453	2.940000057220459				20.0		0.0
795.0	5.900000095367432	34.882999420166016	3.559999942779541				24.0		0.0
989.0	4.860000133514404	34.93199920654297	4.28000020980835				25.0		0.0
1184.0	4.449999809265137	34.959999084472656	4.739999771118164				23.0		0.0
1478.0	4.260000228881836	34.97200012207031	5.0				24.0		0.0
1771.0	4.199999809265137	34.98899841308594	5.0				23.0		1.0
2066.0	4.21999979019165	34.986000061035156	5.130000114440918				21.0		1.0
2265.0	4.199999809265137	34.97999954223633	5.210000038146973				20.0		0.0
2513.0	4.199999809265137	34.992000579833984	5.380000114440918				18.0		1.0
2563.0	4.199999809265137	34.987998962402344	5.389999866485596				18.0		0.0

In total, there are 28 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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