ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - d94j166.bdo.nc - 27.76N, -95.29W - 1994-11-13"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j166_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 9.0 19.0 29.0 38.0 45.0 59.0 82.0 105.0 135.0 238.0 261.0  m	12 options
temperature	= (ANY) 13.632800102233887 14.089900016784668 16.521699905395508 18.805999755859375 19.973499298095703 22.11319923400879 23.98419952392578 25.712799072265625 25.718599319458008 25.720699310302734 25.72369956970215 25.731300354003906  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.76620101928711 35.837100982666016 35.849998474121094 35.85020065307617 35.85089874267578 35.855201721191406 35.86280059814453 36.19770050048828 36.30350112915039 36.36009979248047 36.39189910888672 36.3942985534668  PSU	12 options
oxygen	= (ANY) 2.8299999237060547 2.8399999141693115 2.859999895095825 3.190000057220459 3.359999895095825 4.420000076293945 4.590000152587891 4.619999885559082 4.630000114440918 4.650000095367432 4.659999847412109 4.940000057220459  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.05000000074505806 0.12999999523162842  micromols	6 options
nitrate	= (ANY) 0.05000000074505806 0.05999999865889549 0.07000000029802322 0.10999999940395355 6.03000020980835 11.069999694824219 15.680000305175781 20.149999618530273 21.1200008392334  micromols	9 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.3100000023841858 0.5400000214576721 0.8100000023841858 1.1100000143051147 1.1699999570846558  micromols	8 options
silicate	= (ANY) 0.23000000417232513 1.2999999523162842 1.8200000524520874 1.8600000143051147 1.899999976158142 1.9800000190734863 2.0199999809265137 2.059999942779541 3.2100000381469727 4.550000190734863 7.130000114440918 7.760000228881836  micromols	12 options
salinity2	= (ANY) 35.75899887084961 35.82699966430664 35.84400177001953 35.847999572753906 35.849998474121094 35.85100173950195 35.9640007019043 36.20600128173828 36.305999755859375 36.358001708984375 36.38399887084961 36.38999938964844  PSU	12 options
qualityFlag	= (ANY) 0.0	1 option: 0.0

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	25.712799072265625	35.85020065307617	4.650000095367432	0.0	0.10999999940395355	0.019999999552965164	2.0199999809265137	35.849998474121094	0.0
9.0	25.718599319458008	35.849998474121094	4.659999847412109	0.009999999776482582	0.07000000029802322	0.019999999552965164	1.9800000190734863	35.84400177001953	0.0
19.0	25.72369956970215	35.85089874267578	4.940000057220459	0.009999999776482582	0.07000000029802322	0.019999999552965164	1.899999976158142	35.847999572753906	0.0
29.0	25.731300354003906	35.855201721191406	4.590000152587891	0.009999999776482582	0.05999999865889549	0.019999999552965164	1.8600000143051147	35.85100173950195	0.0
38.0	25.720699310302734	35.86280059814453	4.630000114440918	0.009999999776482582	0.05999999865889549	0.009999999776482582	1.8200000524520874	35.9640007019043	0.0
45.0	23.98419952392578	36.30350112915039	4.619999885559082	0.05000000074505806	0.05999999865889549	0.029999999329447746	1.2999999523162842	36.305999755859375	0.0
59.0	22.11319923400879	36.36009979248047	4.420000076293945	0.12999999523162842	0.05000000074505806	0.029999999329447746	0.23000000417232513	36.358001708984375	0.0
82.0	19.973499298095703	36.39189910888672	3.359999895095825	0.05000000074505806	6.03000020980835	0.3100000023841858	2.059999942779541	36.38399887084961	0.0
105.0	18.805999755859375	36.3942985534668	3.190000057220459	0.029999999329447746	11.069999694824219	0.5400000214576721	3.2100000381469727	36.38999938964844	0.0
135.0	16.521699905395508	36.19770050048828	2.8299999237060547	0.019999999552965164	15.680000305175781	0.8100000023841858	4.550000190734863	36.20600128173828	0.0
238.0	14.089900016784668	35.837100982666016	2.859999895095825	0.029999999329447746	20.149999618530273	1.1100000143051147	7.130000114440918	35.82699966430664	0.0
261.0	13.632800102233887	35.76620101928711	2.8399999141693115	0.029999999329447746	21.1200008392334	1.1699999570846558	7.760000228881836	35.75899887084961	0.0

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