ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - d94h053.bdo.nc - 27.66N, -93.0W - 1994-04-29"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94h053_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 22.0 37.0 52.0 62.0 70.0 81.0 92.0 106.0 138.0 242.0 310.0  m	12 options
temperature	= (ANY) 12.293600082397461 14.236200332641602 17.001300811767578 18.59469985961914 19.578399658203125 20.29599952697754 20.667999267578125 21.24959945678711 21.556800842285156 21.825899124145508 22.258100509643555 24.428499221801758  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.54610061645508 35.852500915527344 35.89229965209961 36.202301025390625 36.25310134887695 36.268699645996094 36.274600982666016 36.28010177612305 36.28219985961914 36.449100494384766 36.45000076293945 36.48469924926758  PSU	12 options
oxygen	= (ANY) 2.880000114440918 3.0999999046325684 3.130000114440918 3.200000047683716 3.3499999046325684 4.019999980926514 4.519999980926514 4.889999866485596 5.019999980926514 5.110000133514404 5.170000076293945 5.190000057220459  milliliters per liter	12 options
nitrite	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.09000000357627869 0.12999999523162842 0.1599999964237213  micromols	7 options
nitrate	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.10999999940395355 1.7100000381469727 4.519999980926514 8.279999732971191 10.329999923706055 13.210000038146973 17.440000534057617 21.850000381469727  micromols	11 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.07000000029802322 0.23000000417232513 0.41999998688697815 0.550000011920929 0.7200000286102295 1.0299999713897705 1.340000033378601  micromols	9 options
silicate	= (ANY) 1.850000023841858 1.9600000381469727 2.0399999618530273 2.0799999237060547 2.4200000762939453 2.690000057220459 3.2699999809265137 4.190000057220459 4.739999771118164 6.150000095367432 8.1899995803833 11.210000038146973  micromols	12 options
salinity2	= (ANY) 35.54800033569336 35.86000061035156 35.89799880981445 36.21799850463867 36.25899887084961 36.27000045776367 36.27199935913086 36.27899932861328 36.28200149536133 36.444000244140625 36.45899963378906 36.4900016784668  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	24.428499221801758	35.89229965209961	4.889999866485596	0.019999999552965164	0.0	0.009999999776482582	2.4200000762939453	35.89799880981445	0.0
22.0	22.258100509643555	36.202301025390625	5.019999980926514	0.019999999552965164	0.019999999552965164	0.009999999776482582	2.0799999237060547	36.21799850463867	0.0
37.0	21.825899124145508	36.25310134887695	5.190000057220459	0.019999999552965164	0.019999999552965164	0.009999999776482582	2.0399999618530273	36.25899887084961	0.0
52.0	21.556800842285156	36.274600982666016	5.170000076293945	0.019999999552965164	0.009999999776482582	0.0	1.9600000381469727	36.27899932861328	0.0
62.0	21.24959945678711	36.28219985961914	5.110000133514404	0.029999999329447746	0.10999999940395355	0.009999999776482582	1.850000023841858	36.27199935913086	0.0
70.0	20.667999267578125	36.28010177612305	4.519999980926514	0.12999999523162842	1.7100000381469727	0.07000000029802322	2.690000057220459	36.28200149536133	0.0
81.0	20.29599952697754	36.45000076293945	4.019999980926514	0.1599999964237213	4.519999980926514	0.23000000417232513	3.2699999809265137	36.444000244140625	0.0
92.0	19.578399658203125	36.48469924926758	3.3499999046325684	0.09000000357627869	8.279999732971191	0.41999998688697815	4.190000057220459	36.4900016784668	0.0
106.0	18.59469985961914	36.449100494384766	3.200000047683716	0.05000000074505806	10.329999923706055	0.550000011920929	4.739999771118164	36.45899963378906	0.0
138.0	17.001300811767578	36.268699645996094	3.0999999046325684	0.03999999910593033	13.210000038146973	0.7200000286102295	6.150000095367432	36.27000045776367	0.0
242.0	14.236200332641602	35.852500915527344	3.130000114440918	0.029999999329447746	17.440000534057617	1.0299999713897705	8.1899995803833	35.86000061035156	0.0
310.0	12.293600082397461	35.54610061645508	2.880000114440918	0.029999999329447746	21.850000381469727	1.340000033378601	11.210000038146973	35.54800033569336	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