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Dataset Title:	"Deepwater CTD - d93f208.bdo.nc - 27.76N, -95.29W - 1993-00-06"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93f208_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 13.0 27.0 43.0 58.0 74.0 88.0 98.0 109.0 128.0 168.0 263.0  m	12 options
temperature	= (ANY) 13.19849967956543 16.05500030517578 19.578899383544922 21.10849952697754 21.925800323486328 22.468299865722656 23.157899856567383 23.9689998626709 24.83489990234375 27.651199340820312 29.246299743652344 29.445899963378906  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.70880126953125 35.73809814453125 35.73889923095703 35.99259948730469 36.137298583984375 36.27149963378906 36.27619934082031 36.28450012207031 36.29199981689453 36.323699951171875 36.51919937133789 36.549198150634766  PSU	12 options
oxygen	= (ANY) 2.6500000953674316 2.8299999237060547 3.119999885559082 3.569999933242798 4.480000019073486 4.5 4.519999980926514 4.730000019073486 4.78000020980835 4.940000057220459 5.039999961853027 5.139999866485596  milliliters per liter	12 options
nitrite	= (ANY) 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.07000000029802322 0.11999999731779099  micromols	5 options
nitrate	= (ANY) 0.11999999731779099 0.12999999523162842 0.1599999964237213 0.28999999165534973 0.4000000059604645 5.239999771118164 8.989999771118164 15.930000305175781 21.360000610351562  micromols	9 options
phosphate	= (ANY) 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.2800000011920929 0.47999998927116394 0.8999999761581421 1.2699999809265137  micromols	8 options
silicate	= (ANY) 1.8700000047683716 1.940000057220459 1.9800000190734863 1.9900000095367432 2.119999885559082 2.2699999809265137 2.8299999237060547 3.200000047683716 3.2799999713897705 3.5899999141693115 6.539999961853027 10.729999542236328  micromols	12 options
salinity2	= (ANY) 35.707000732421875 35.736000061035156 35.73699951171875 36.01499938964844 36.1349983215332 36.263999938964844 36.27799987792969 36.28300094604492 36.29100036621094 36.319000244140625 36.52199935913086 36.547000885009766  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	29.445899963378906	35.73809814453125	4.519999980926514	0.03999999910593033	0.28999999165534973	0.05999999865889549	3.2799999713897705	35.736000061035156	0.0
13.0	29.246299743652344	35.73889923095703	4.5	0.029999999329447746	0.1599999964237213	0.03999999910593033	3.200000047683716	35.73699951171875	0.0
27.0	27.651199340820312	35.99259948730469	4.78000020980835	0.029999999329447746	0.1599999964237213	0.05000000074505806	2.2699999809265137	36.01499938964844	0.0
43.0	24.83489990234375	36.29199981689453	5.139999866485596	0.029999999329447746	0.12999999523162842	0.03999999910593033	1.9900000095367432	36.29100036621094	0.0
58.0	23.9689998626709	36.323699951171875	5.039999961853027	0.029999999329447746	0.11999999731779099	0.03999999910593033	1.8700000047683716	36.319000244140625	0.0
74.0	23.157899856567383	36.27619934082031	4.940000057220459	0.029999999329447746	0.11999999731779099	0.029999999329447746	1.940000057220459	36.27799987792969	0.0
88.0	22.468299865722656	36.27149963378906	4.730000019073486	0.029999999329447746	0.11999999731779099	0.03999999910593033	1.9800000190734863	36.263999938964844	0.0
98.0	21.925800323486328	36.28450012207031	4.480000019073486	0.11999999731779099	0.4000000059604645	0.05000000074505806	2.119999885559082	36.28300094604492	0.0
109.0	21.10849952697754	36.549198150634766	3.569999933242798	0.07000000029802322	5.239999771118164	0.2800000011920929	2.8299999237060547	36.52199935913086	0.0
128.0	19.578899383544922	36.51919937133789	3.119999885559082	0.05000000074505806	8.989999771118164	0.47999998927116394	3.5899999141693115	36.547000885009766	0.0
168.0	16.05500030517578	36.137298583984375	2.8299999237060547	0.03999999910593033	15.930000305175781	0.8999999761581421	6.539999961853027	36.1349983215332	0.0
263.0	13.19849967956543	35.70880126953125	2.6500000953674316	0.05000000074505806	21.360000610351562	1.2699999809265137	10.729999542236328	35.707000732421875	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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