ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - d93f210.bdo.nc - 27.84N, -94.59W - 1993-00-06"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93f210_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 9.0 23.0 39.0 54.0 60.0 74.0 90.0 103.0 128.0 183.0 273.0  m	12 options
temperature	= (ANY) 12.480999946594238 14.63379955291748 16.314800262451172 17.260900497436523 18.085800170898438 19.625600814819336 21.212400436401367 22.238800048828125 23.5625 24.886699676513672 28.395700454711914 29.21780014038086  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.598201751708984 35.9286994934082 36.15650177001953 36.17639923095703 36.18410110473633 36.221099853515625 36.26390075683594 36.27470016479492 36.28739929199219 36.300201416015625 36.35139846801758 36.35919952392578  PSU	12 options
oxygen	= (ANY) 2.6600000858306885 2.8499999046325684 2.869999885559082 2.880000114440918 2.890000104904175 3.3499999046325684 4.260000228881836 4.539999961853027 4.610000133514404 4.690000057220459 4.920000076293945 4.989999771118164  milliliters per liter	12 options
nitrite	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.20999999344348907 0.23000000417232513 0.3199999928474426  micromols	6 options
nitrate	= (ANY) 0.009999999776482582 0.03999999910593033 0.05000000074505806 0.2199999988079071 0.23999999463558197 1.5 7.400000095367432 12.40999984741211 13.920000076293945 15.289999961853027 18.020000457763672 22.639999389648438  micromols	12 options
phosphate	= (ANY) 0.029999999329447746 0.05000000074505806 0.07000000029802322 0.15000000596046448 0.44999998807907104 0.7200000286102295 0.800000011920929 0.8899999856948853 1.0399999618530273 1.3700000047683716  micromols	10 options
silicate	= (ANY) 1.7699999809265137 2.0 2.1500000953674316 2.2300000190734863 2.299999952316284 2.490000009536743 3.9600000381469727 5.489999771118164 5.800000190734863 6.079999923706055 7.78000020980835 11.430000305175781  micromols	12 options
salinity2	= (ANY) 35.590999603271484 35.91699981689453 36.165000915527344 36.17499923706055 36.17599868774414 36.23899841308594 36.262001037597656 36.26499938964844 36.277000427246094 36.29499816894531 36.34000015258789 36.35100173950195  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
0.0	29.21780014038086	36.17639923095703	4.610000133514404	0.019999999552965164	0.2199999988079071	0.07000000029802322	2.2300000190734863	36.17499923706055	0.0
9.0	28.395700454711914	36.15650177001953	4.690000057220459	0.019999999552965164	0.05000000074505806	0.029999999329447746	2.1500000953674316	36.165000915527344	0.0
23.0	24.886699676513672	36.26390075683594	4.989999771118164	0.029999999329447746	0.03999999910593033	0.029999999329447746	1.7699999809265137	36.262001037597656	0.0
39.0	23.5625	36.300201416015625	4.920000076293945	0.019999999552965164	0.009999999776482582	0.05000000074505806	2.0	36.29499816894531	0.0
54.0	22.238800048828125	36.27470016479492	4.539999961853027	0.20999999344348907	0.23999999463558197	0.07000000029802322	2.299999952316284	36.26499938964844	0.0
60.0	21.212400436401367	36.221099853515625	4.260000228881836	0.3199999928474426	1.5	0.15000000596046448	2.490000009536743	36.23899841308594	0.0
74.0	19.625600814819336	36.35139846801758	3.3499999046325684	0.23000000417232513	7.400000095367432	0.44999998807907104	3.9600000381469727	36.34000015258789	0.0
90.0	18.085800170898438	36.35919952392578	2.890000104904175	0.03999999910593033	12.40999984741211	0.7200000286102295	5.489999771118164	36.35100173950195	0.0
103.0	17.260900497436523	36.28739929199219	2.8499999046325684	0.03999999910593033	13.920000076293945	0.800000011920929	5.800000190734863	36.277000427246094	0.0
128.0	16.314800262451172	36.18410110473633	2.869999885559082	0.029999999329447746	15.289999961853027	0.8899999856948853	6.079999923706055	36.17599868774414	0.0
183.0	14.63379955291748	35.9286994934082	2.880000114440918	0.029999999329447746	18.020000457763672	1.0399999618530273	7.78000020980835	35.91699981689453	0.0
273.0	12.480999946594238	35.598201751708984	2.6600000858306885	0.029999999329447746	22.639999389648438	1.3700000047683716	11.430000305175781	35.590999603271484	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