ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - 89g1514.bdo.nc - 25.69N, -93.99W - 1989-11-14"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_89g1514_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: 24)
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) 10.0 25.0 50.0 70.0 88.0 108.0 126.0 149.0 201.0 397.0 598.0 798.0 998.0 1198.0 1399.0 1598.0 1799.0 1898.0 1999.0 2099.0 2299.0 2499.0 2698.0 2998.0  m	24 options
temperature	= (ANY) 4.25 4.260000228881836 4.269999980926514 4.289999961853027 4.309999942779541 4.340000152587891 4.400000095367432 4.78000020980835 5.460000038146973 6.650000095367432 9.319999694824219 14.119999885559082 15.960000038146973 17.1200008392334 18.260000228881836 19.719999313354492 22.860000610351562 25.25 25.520000457763672 26.049999237060547  degree_C	20 options
salinity	= (ANY) 34.90299987792969 34.91699981689453 34.94200134277344 34.95800018310547 34.965999603271484 34.96699905395508 34.970001220703125 34.97100067138672 34.974998474121094 34.97600173950195 34.97700119018555 34.979000091552734 35.14099884033203 35.85200119018555 36.10100173950195 36.12200164794922 36.25699996948242 36.303001403808594 36.42300033569336 36.43299865722656 36.499000549316406 36.507999420166016  PSU	22 options
oxygen	= (ANY) 2.8919999599456787 2.9830000400543213 2.989000082015991 3.0899999141693115 3.2239999771118164 4.434999942779541 4.639999866485596 4.677000045776367 4.7220001220703125  milliliters per liter	10 options
nitrite	= (ANY)  micromols per liter	1 option:
nitrate	= (ANY) 0.10000000149011612 0.20000000298023224 8.699999809265137 11.600000381469727 13.699999809265137 16.100000381469727 18.799999237060547 23.299999237060547 23.5 23.600000381469727 23.700000762939453 23.899999618530273 24.100000381469727 24.899999618530273 26.799999237060547 29.600000381469727 30.0 31.700000762939453  micromols	18 options
phosphate	= (ANY) 0.029999999329447746 0.07999999821186066 0.09000000357627869 0.10000000149011612 0.41999998688697815 0.6000000238418579 0.8299999833106995 0.9800000190734863 1.1399999856948853 1.559999942779541 1.5800000429153442 1.6399999856948853 1.649999976158142 1.6799999475479126 1.690000057220459 1.7100000381469727 1.7200000286102295 1.7400000095367432 1.7699999809265137 1.7799999713897705 1.899999976158142 1.9700000286102295 2.059999942779541  micromols per liter	23 options
silicate	= (ANY) 0.8999999761581421 1.2000000476837158 1.7000000476837158 2.4000000953674316 3.200000047683716 4.800000190734863 5.699999809265137 6.400000095367432 14.100000381469727 20.600000381469727 20.899999618530273 21.0 21.200000762939453 21.299999237060547 21.399999618530273 21.5 22.0 22.299999237060547 23.100000381469727 23.5  micromols per liter	20 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
10.0	26.049999237060547	36.10100173950195	4.639999866485596		0.10000000149011612	0.10000000149011612	0.8999999761581421		0.0
25.0	25.520000457763672	36.25699996948242	4.677000045776367		0.10000000149011612	0.09000000357627869	0.8999999761581421		0.0
50.0	25.25	36.42300033569336	4.7220001220703125		0.10000000149011612	0.029999999329447746	1.2000000476837158		0.0
70.0	22.860000610351562	36.499000549316406	4.434999942779541		0.20000000298023224	0.07999999821186066	1.7000000476837158		0.0
88.0	19.719999313354492	36.507999420166016	3.2239999771118164		8.699999809265137	0.41999998688697815	2.4000000953674316		0.0
108.0	18.260000228881836	36.43299865722656	3.0899999141693115		11.600000381469727	0.6000000238418579	3.200000047683716		0.0
126.0	17.1200008392334	36.303001403808594	2.989000082015991		13.699999809265137	0.8299999833106995	4.800000190734863		0.0
149.0	15.960000038146973	36.12200164794922	2.8919999599456787		16.100000381469727	0.9800000190734863	5.699999809265137		0.0
201.0	14.119999885559082	35.85200119018555	2.9830000400543213		18.799999237060547	1.1399999856948853	6.400000095367432		1.0
397.0	9.319999694824219	35.14099884033203			30.0	1.899999976158142	14.100000381469727		0.0
598.0	6.650000095367432	34.90299987792969			31.700000762939453	2.059999942779541	20.600000381469727		0.0
798.0	5.460000038146973	34.91699981689453			29.600000381469727	1.9700000286102295	23.100000381469727		1.0
998.0	4.78000020980835	34.94200134277344			26.799999237060547	1.7699999809265137	23.5		0.0
1198.0	4.400000095367432	34.95800018310547			24.899999618530273	1.6799999475479126	22.299999237060547		0.0
1399.0	4.289999961853027	34.965999603271484			24.100000381469727	1.6399999856948853	22.0		0.0
1598.0	4.260000228881836	34.96699905395508			23.899999618530273	1.7799999713897705	21.0		0.0
1799.0	4.25	34.97100067138672			23.600000381469727	1.7100000381469727	21.5		0.0
1898.0	4.25	34.979000091552734			23.700000762939453	1.7200000286102295	21.299999237060547		0.0
1999.0	4.25	34.97700119018555			23.5	1.6799999475479126	20.899999618530273		0.0
2099.0	4.260000228881836	34.97600173950195			23.299999237060547	1.7400000095367432	21.0		0.0
2299.0	4.269999980926514	34.974998474121094			23.299999237060547	1.690000057220459	21.5		0.0
2499.0	4.289999961853027	34.97600173950195			23.299999237060547	1.649999976158142	21.399999618530273		0.0
2698.0	4.309999942779541	34.974998474121094			23.299999237060547	1.5800000429153442	21.399999618530273		0.0
2998.0	4.340000152587891	34.970001220703125			23.5	1.559999942779541	21.200000762939453		0.0

In total, there are 24 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