ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - 88g0518.bdo.nc - 25.67N, -94.75W - 1988-10-18"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0518_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: 23)
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) 5.0 10.0 15.0 20.0 25.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0 125.0 150.0 175.0 200.0 250.0 300.0 400.0 500.0 700.0  m	22 options
temperature	= (ANY) 6.21999979019165 8.350000381469727 10.460000038146973 12.789999961853027 14.119999885559082 16.530000686645508 18.0 19.489999771118164 20.920000076293945 22.229999542236328 22.93000030517578 24.190000534057617 26.540000915527344 26.690000534057617 26.700000762939453 26.709999084472656  degree_C	16 options
salinity	= (ANY) 34.89500045776367 34.89799880981445 35.04399871826172 35.29199981689453 35.606998443603516 35.814998626708984 36.17599868774414 36.33599853515625 36.41299819946289 36.470001220703125 36.483001708984375 36.49300003051758 36.49800109863281 36.51100158691406 36.512001037597656 36.51300048828125 36.513999938964844 36.51599884033203 36.52399826049805 36.540000915527344 36.564998626708984  PSU	21 options
oxygen	= (ANY) 2.556999921798706 2.6459999084472656 2.680000066757202 2.796999931335449 2.872999906539917 2.9649999141693115 3.2660000324249268 3.569000005722046 4.190000057220459 4.614999771118164 4.623000144958496 4.627999782562256 4.629000186920166 4.63100004196167 4.632999897003174 4.642000198364258 4.64900016784668 4.650000095367432 4.76800012588501 4.955999851226807 4.992000102996826  milliliters per liter	22 options
nitrite	= (ANY) 0.009999999776482582 0.019999999552965164 0.05000000074505806 0.05999999865889549 0.12999999523162842  micromols per liter	5 options
nitrate	= (ANY) 0.0 0.029999999329447746 0.10000000149011612 0.20000000298023224 2.4000000953674316 7.400000095367432 12.600000381469727 15.600000381469727 19.899999618530273 22.799999237060547 26.799999237060547 30.0 30.100000381469727  micromols	13 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.07000000029802322 0.1599999964237213 0.4099999964237213 0.6899999976158142 0.8700000047683716 1.159999966621399 1.3600000143051147 1.6299999952316284 1.840000033378601 1.909999966621399 1.9199999570846558  micromols per liter	15 options
silicate	= (ANY) 0.30000001192092896 0.4000000059604645 0.5 0.6000000238418579 0.699999988079071 0.8999999761581421 2.0 2.9000000953674316 4.400000095367432 7.099999904632568 9.0 12.600000381469727 17.5 23.200000762939453 23.399999618530273  micromols per liter	15 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

 

---

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	PSU	milliliters per liter	micromols per liter	micromols	micromols per liter	micromols per liter	PSU
5.0	26.700000762939453	36.51599884033203	4.629000186920166	0.009999999776482582	0.10000000149011612	0.009999999776482582	0.6000000238418579		0.0
10.0	26.700000762939453	36.51300048828125	4.64900016784668	0.009999999776482582	0.10000000149011612	0.009999999776482582	0.4000000059604645		0.0
15.0	26.700000762939453	36.51300048828125	4.642000198364258	0.009999999776482582	0.029999999329447746	0.009999999776482582	0.5		0.0
20.0	26.700000762939453	36.512001037597656	4.623000144958496	0.009999999776482582	0.0	0.019999999552965164	0.6000000238418579		0.0
25.0	26.700000762939453	36.51100158691406	4.614999771118164	0.009999999776482582	0.029999999329447746	0.009999999776482582	0.6000000238418579		0.0
30.0	26.709999084472656	36.51300048828125	4.632999897003174	0.009999999776482582	0.10000000149011612	0.019999999552965164	0.699999988079071		0.0
40.0	26.709999084472656	36.513999938964844	4.650000095367432	0.009999999776482582	0.10000000149011612	0.019999999552965164	0.5		0.0
50.0	26.709999084472656	36.52399826049805	4.63100004196167	0.009999999776482582	0.10000000149011612	0.029999999329447746	0.699999988079071		0.0
60.0	26.690000534057617	36.540000915527344	4.627999782562256	0.009999999776482582	0.10000000149011612	0.029999999329447746	0.699999988079071		0.0
70.0	26.540000915527344	36.564998626708984	4.64900016784668	0.009999999776482582	0.10000000149011612	0.029999999329447746	0.6000000238418579		0.0
80.0	24.190000534057617	36.49300003051758	4.955999851226807	0.009999999776482582	0.10000000149011612	0.03999999910593033	0.699999988079071		0.0
90.0	22.93000030517578	36.483001708984375	4.992000102996826	0.009999999776482582	0.10000000149011612	0.03999999910593033	0.4000000059604645		0.0
100.0	22.229999542236328	36.49800109863281	4.76800012588501	0.12999999523162842	0.20000000298023224	0.07000000029802322	0.30000001192092896		0.0
125.0	20.920000076293945	36.470001220703125	4.190000057220459	0.05000000074505806	2.4000000953674316	0.1599999964237213	0.8999999761581421		0.0
150.0	19.489999771118164	36.41299819946289	3.569000005722046	0.05999999865889549	7.400000095367432	0.4099999964237213	2.0		0.0
175.0	18.0	36.33599853515625	2.9649999141693115	0.019999999552965164	12.600000381469727	0.6899999976158142	2.9000000953674316		0.0
200.0	16.530000686645508	36.17599868774414	2.872999906539917	0.009999999776482582	15.600000381469727	0.8700000047683716	4.400000095367432		0.0
250.0	14.119999885559082	35.814998626708984	2.796999931335449	0.009999999776482582	19.899999618530273	1.159999966621399	7.099999904632568		0.0
300.0	12.789999961853027	35.606998443603516	2.6459999084472656	0.009999999776482582	22.799999237060547	1.3600000143051147	9.0		0.0
400.0	10.460000038146973	35.29199981689453	2.556999921798706	0.009999999776482582	26.799999237060547	1.6299999952316284	12.600000381469727		1.0
500.0	8.350000381469727	35.04399871826172	2.680000066757202	0.009999999776482582	30.0	1.840000033378601	17.5		1.0
700.0	6.21999979019165	34.89500045776367	3.2660000324249268	0.009999999776482582	30.100000381469727	1.909999966621399	23.399999618530273		0.0
700.0	6.21999979019165	34.89799880981445		0.009999999776482582	30.0	1.9199999570846558	23.200000762939453		0.0

In total, there are 23 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