ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - d93e088.bdo.nc - 27.66N, -94.22W - 1993-05-02"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e088_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 23.0 38.0 48.0 57.0 73.0 97.0 147.0 247.0 345.0 445.0  m	12 options
temperature	= (ANY) 8.640299797058105 11.23069953918457 13.368800163269043 16.331100463867188 18.77429962158203 20.89699935913086 21.740400314331055 22.145999908447266 22.4143009185791 22.752199172973633 22.787799835205078 23.077899932861328  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 33.588401794433594 33.71760177612305 34.9640007019043 35.05970001220703 35.40019989013672 35.71900177001953 35.792701721191406 36.1088981628418 36.13819885253906 36.15829849243164 36.3120002746582 36.39970016479492  PSU	12 options
oxygen	= (ANY) 2.559999942779541 2.6500000953674316 2.6600000858306885 2.740000009536743 2.950000047683716 3.569999933242798 4.159999847412109 4.559999942779541 4.869999885559082 4.929999828338623 5.050000190734863 5.090000152587891  milliliters per liter	12 options
nitrite	= (ANY) 0.05000000074505806 0.05999999865889549 0.07000000029802322 0.11999999731779099 0.12999999523162842 0.27000001072883606  micromols	6 options
nitrate	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.6200000047683716 2.2699999809265137 6.099999904632568 11.739999771118164 16.260000228881836 21.3700008392334 25.479999542236328 29.559999465942383  micromols	12 options
phosphate	= (ANY) 0.05000000074505806 0.07000000029802322 0.11999999731779099 0.25 0.47999998927116394 0.699999988079071 1.090000033378601 1.3200000524520874 1.649999976158142  micromols	9 options
silicate	= (ANY) 2.609999895095825 2.6600000858306885 3.0399999618530273 3.200000047683716 3.2200000286102295 3.740000009536743 3.75 4.820000171661377 6.710000038146973 10.100000381469727 13.630000114440918 18.899999618530273  micromols	12 options
salinity2	= (ANY) 33.59199905395508 33.89699935913086 35.07400131225586 35.33599853515625 35.40700149536133 35.722999572753906 35.83399963378906 36.138999938964844 36.14699935913086 36.16400146484375 36.34600067138672 36.393001556396484  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

 

---

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.
 

---

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.
 

---

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	22.752199172973633	33.588401794433594	5.090000152587891	0.05000000074505806	0.019999999552965164	0.07000000029802322	3.2200000286102295	33.59199905395508	0.0
8.0	22.145999908447266	33.71760177612305	5.050000190734863	0.05000000074505806	0.009999999776482582	0.07000000029802322	3.200000047683716	33.89699935913086	0.0
23.0	22.4143009185791	34.9640007019043	4.929999828338623	0.07000000029802322	0.029999999329447746	0.05000000074505806	3.0399999618530273	35.33599853515625	0.0
38.0	23.077899932861328	35.792701721191406	4.869999885559082	0.05999999865889549	0.03999999910593033	0.05000000074505806	2.6600000858306885	35.83399963378906	0.0
48.0	22.787799835205078	36.1088981628418	4.559999942779541	0.12999999523162842	0.6200000047683716	0.05000000074505806	2.609999895095825	36.16400146484375	0.0
57.0	21.740400314331055	36.13819885253906	4.159999847412109	0.27000001072883606	2.2699999809265137	0.11999999731779099	3.75	36.138999938964844	0.0
73.0	20.89699935913086	36.3120002746582	3.569999933242798	0.11999999731779099	6.099999904632568	0.25	3.740000009536743	36.34600067138672	0.0
97.0	18.77429962158203	36.39970016479492	2.950000047683716	0.07000000029802322	11.739999771118164	0.47999998927116394	4.820000171661377	36.393001556396484	0.0
147.0	16.331100463867188	36.15829849243164	2.740000009536743	0.05000000074505806	16.260000228881836	0.699999988079071	6.710000038146973	36.14699935913086	0.0
247.0	13.368800163269043	35.71900177001953	2.6500000953674316	0.05000000074505806	21.3700008392334	1.090000033378601	10.100000381469727	35.722999572753906	0.0
345.0	11.23069953918457	35.40019989013672	2.559999942779541	0.05000000074505806	25.479999542236328	1.3200000524520874	13.630000114440918	35.40700149536133	0.0
445.0	8.640299797058105	35.05970001220703	2.6600000858306885	0.05999999865889549	29.559999465942383	1.649999976158142	18.899999618530273	35.07400131225586	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.
 

---

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.
 

---

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.

 

---

ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact