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Dataset Title:	"Deepwater CTD - d94i167.bdo.nc - 27.8N, -95.05W - 1994-00-07"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94i167_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 14.0 23.0 33.0 43.0 54.0 67.0 78.0 88.0 123.0 204.0 304.0  m	12 options
temperature	= (ANY) 11.578900337219238 14.354100227355957 17.51420021057129 19.311599731445312 20.175500869750977 20.925800323486328 22.284400939941406 23.871599197387695 24.821500778198242 27.990999221801758 28.428699493408203 28.778600692749023  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.45880126953125 35.87879943847656 36.248199462890625 36.3203010559082 36.33430099487305 36.339698791503906 36.356300354003906 36.358299255371094 36.38180160522461 36.3932991027832 36.44070053100586 36.46329879760742  PSU	12 options
oxygen	= (ANY) 2.5799999237060547 2.75 2.8399999141693115 2.930000066757202 3.440000057220459 4.079999923706055 4.630000114440918 4.650000095367432 4.769999980926514 5.110000133514404 5.289999961853027  milliliters per liter	11 options
nitrite	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05999999865889549 0.07000000029802322 0.10999999940395355  micromols	7 options
nitrate	= (ANY) 0.07999999821186066 0.10000000149011612 0.11999999731779099 0.18000000715255737 1.0099999904632568 4.400000095367432 9.270000457763672 13.390000343322754 18.93000030517578 24.440000534057617  micromols	10 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.05000000074505806 0.18000000715255737 0.41999998688697815 0.6899999976158142 1.0399999618530273 1.440000057220459  micromols	9 options
silicate	= (ANY) 0.0 0.14000000059604645 0.27000001072883606 0.4000000059604645 0.46000000834465027 0.75 0.8700000047683716 0.9100000262260437 2.0199999809265137 3.7200000286102295 6.909999847412109 11.239999771118164  micromols	12 options
salinity2	= (ANY) 35.465999603271484 35.87799835205078 36.25199890136719 36.33100128173828 36.33399963378906 36.35200119018555 36.356998443603516 36.367000579833984 36.388999938964844 36.39699935913086 36.441001892089844 36.45800018310547  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

 

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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.
 

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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.
 

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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	28.778600692749023	36.248199462890625	4.650000095367432	0.03999999910593033	0.18000000715255737	0.029999999329447746	0.8700000047683716	36.25199890136719	0.0
14.0	28.428699493408203	36.3203010559082	4.630000114440918	0.009999999776482582	0.11999999731779099	0.019999999552965164	0.75	36.33100128173828	0.0
23.0	27.990999221801758	36.358299255371094	4.769999980926514	0.009999999776482582	0.10000000149011612	0.009999999776482582	0.46000000834465027	36.367000579833984	0.0
33.0	24.821500778198242	36.339698791503906	5.289999961853027	0.009999999776482582	0.07999999821186066	0.009999999776482582	0.0	36.35200119018555	0.0
43.0	23.871599197387695	36.38180160522461	5.110000133514404	0.009999999776482582	0.10000000149011612	0.009999999776482582	0.14000000059604645	36.388999938964844	0.0
54.0	22.284400939941406	36.356300354003906	4.650000095367432	0.009999999776482582	0.07999999821186066	0.019999999552965164	0.27000001072883606	36.356998443603516	0.0
67.0	20.925800323486328	36.3932991027832	4.079999923706055	0.009999999776482582	1.0099999904632568	0.05000000074505806	0.4000000059604645	36.39699935913086	0.0
78.0	20.175500869750977	36.44070053100586	3.440000057220459	0.10999999940395355	4.400000095367432	0.18000000715255737	0.9100000262260437	36.441001892089844	0.0
88.0	19.311599731445312	36.46329879760742	2.930000066757202	0.05999999865889549	9.270000457763672	0.41999998688697815	2.0199999809265137	36.45800018310547	0.0
123.0	17.51420021057129	36.33430099487305	2.8399999141693115	0.07000000029802322	13.390000343322754	0.6899999976158142	3.7200000286102295	36.33399963378906	0.0
204.0	14.354100227355957	35.87879943847656	2.75	0.019999999552965164	18.93000030517578	1.0399999618530273	6.909999847412109	35.87799835205078	0.0
304.0	11.578900337219238	35.45880126953125	2.5799999237060547	0.029999999329447746	24.440000534057617	1.440000057220459	11.239999771118164	35.465999603271484	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.
 

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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.
 

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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.

 

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