ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - 89g1510.bdo.nc - 27.01N, -94.0W - 1989-11-13"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_89g1510_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: 16)
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) 2.0 24.0 49.0 68.0 89.0 108.0 124.0 150.0 200.0 300.0 400.0 498.0 598.0 798.0 898.0  m	16 options
temperature	= (ANY) 5.059999942779541 5.46999979019165 5.900000095367432 7.710000038146973 8.720000267028809 10.779999732971191 13.199999809265137 16.700000762939453 18.579999923706055 20.110000610351562 20.860000610351562 22.299999237060547 23.899999618530273 26.190000534057617 26.299999237060547 26.559999465942383  degree_C	16 options
salinity	= (ANY) 34.891998291015625 34.90299987792969 34.917999267578125 34.95199966430664 35.03900146484375 35.30799865722656 35.678001403808594 36.24599838256836 36.332000732421875 36.334999084472656 36.387001037597656 36.43000030517578 36.55400085449219 36.5620002746582 36.57400131225586 36.625999450683594  PSU	16 options
oxygen	= (ANY) 2.5329999923706055 2.7109999656677246 2.753000020980835 2.9159998893737793 3.078000068664551 3.234999895095825 3.328000068664551 3.4049999713897705 3.447999954223633 3.7190001010894775 3.938999891281128 4.045000076293945 4.5 4.682000160217285 4.764999866485596 4.804999828338623  milliliters per liter	16 options
nitrite	= (ANY)  micromols per liter	1 option:
nitrate	= (ANY) 0.10000000149011612 0.20000000298023224 0.30000001192092896 2.0999999046325684 5.599999904632568 8.0 11.300000190734863 12.899999618530273 20.799999237060547 27.399999618530273 28.0 29.5 30.5 30.799999237060547 32.0  micromols	15 options
phosphate	= (ANY) 0.03999999910593033 0.07000000029802322 0.07999999821186066 0.14000000059604645 0.20000000298023224 0.3100000023841858 0.4300000071525574 0.6200000047683716 0.7900000214576721 1.2899999618530273 1.7400000095367432 1.9199999570846558 1.9299999475479126 2.0299999713897705 2.0399999618530273 2.109999895095825  micromols per liter	16 options
silicate	= (ANY) 1.100000023841858 1.2000000476837158 1.7999999523162842 2.0 2.4000000953674316 2.5 2.700000047683716 4.0 7.5 11.600000381469727 15.100000381469727 17.799999237060547 21.600000381469727 21.799999237060547 22.100000381469727  micromols per liter	15 options
salinity2	= (ANY)  PSU	1 option:
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	PSU	milliliters per liter	micromols per liter	micromols	micromols per liter	micromols per liter	PSU
2.0	26.559999465942383	36.334999084472656	4.804999828338623		0.20000000298023224	0.07000000029802322	2.0		0.0
24.0	26.299999237060547	36.332000732421875	4.764999866485596		0.10000000149011612	0.07999999821186066	1.7999999523162842		0.0
49.0	26.190000534057617	36.387001037597656	4.682000160217285		0.20000000298023224	0.03999999910593033	1.100000023841858		0.0
68.0	23.899999618530273	36.57400131225586	4.5		0.30000001192092896	0.14000000059604645	1.100000023841858		0.0
89.0	22.299999237060547	36.625999450683594	3.938999891281128		2.0999999046325684	0.20000000298023224	1.2000000476837158		0.0
108.0	20.860000610351562	36.5620002746582	3.447999954223633		5.599999904632568	0.3100000023841858	2.4000000953674316		0.0
124.0	20.110000610351562	36.55400085449219	3.234999895095825		8.0	0.4300000071525574	2.5		0.0
150.0	18.579999923706055	36.43000030517578	3.078000068664551		11.300000190734863	0.6200000047683716	2.700000047683716		0.0
200.0	16.700000762939453	36.24599838256836	3.328000068664551		12.899999618530273	0.7900000214576721	4.0		0.0
300.0	13.199999809265137	35.678001403808594	2.9159998893737793		20.799999237060547	1.2899999618530273	7.5		0.0
400.0	10.779999732971191	35.30799865722656	2.5329999923706055		27.399999618530273	1.7400000095367432	11.600000381469727		0.0
498.0	8.720000267028809	35.03900146484375	2.7109999656677246		30.5	1.9299999475479126	15.100000381469727		0.0
598.0	7.710000038146973	34.95199966430664	2.753000020980835		32.0	2.109999895095825	17.799999237060547		0.0
798.0	5.900000095367432	34.891998291015625	3.4049999713897705		30.799999237060547	2.0299999713897705	21.600000381469727		0.0
898.0	5.46999979019165	34.90299987792969	3.7190001010894775		29.5	2.0399999618530273	22.100000381469727		0.0
	5.059999942779541	34.917999267578125	4.045000076293945		28.0	1.9199999570846558	21.799999237060547		0.0

In total, there are 16 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