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Dataset Title:	"NEGOM CTD - n2l03s00.nc - 30.14N, 88.09W - 1998-05-16"
Institution:	OCEAN.TAMU   (Dataset ID: negom_n2l03s00)
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: 20)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

pressure	= (ANY) 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.599999904632568 8.100000381469727 8.600000381469727 9.100000381469727 9.600000381469727 10.100000381469727 10.600000381469727 11.100000381469727 11.600000381469727 12.100000381469727  dBar	20 options
depth	= (ANY) 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0  m	20 options
temperature	= (ANY) 19.63559913635254 19.906999588012695 19.9778995513916 20.130699157714844 20.2460994720459 20.277999877929688 20.610700607299805 21.28459930419922 21.636999130249023 21.79509925842285 21.944400787353516 22.333799362182617 22.90369987487793 23.18429946899414 24.192899703979492 25.1427001953125 25.41550064086914 25.671899795532227 25.83009910583496 25.843799591064453  degree_C	20 options
potentialTemperature	= (ANY) 19.633399963378906 19.90489959716797 19.975900650024414 20.128700256347656 20.244199752807617 20.276199340820312 20.608999252319336 21.283000946044922 21.635400772094727 21.79360008239746 21.94300079345703 22.332500457763672 22.90250015258789 23.18320083618164 24.1919002532959 25.141799926757812 25.41469955444336 25.671199798583984 25.829500198364258 25.843299865722656  degree_C	20 options
conductivity	= (ANY) 3.3215999603271484 3.3815999031066895 3.4719998836517334 3.669100046157837 3.8269999027252197 4.046999931335449 4.224999904632568 4.291299819946289 4.417200088500977 4.512899875640869 4.581600189208984 4.689199924468994 4.751500129699707 4.788599967956543 4.788899898529053 4.789999961853027 4.790800094604492 4.8059000968933105 4.815899848937988 4.8506999015808105  Siemens per meter	20 options
salinity	= (ANY) 20.395099639892578 20.8085994720459 21.49679946899414 22.978099822998047 24.219999313354492 26.316699981689453 28.239200592041016 28.916400909423828 30.25510025024414 31.26740074157715 31.90959930419922 32.86940002441406 33.63370132446289 34.47050094604492 34.75849914550781 34.7666015625 34.873199462890625 35.13029861450195 35.27109909057617 35.788700103759766  PSU	20 options
sigmat	= (ANY) 12.101900100708008 12.415800094604492 12.977899551391602 14.16409969329834 15.176400184631348 17.027999877929688 18.763999938964844 19.354299545288086 20.52560043334961 21.400100708007812 21.928300857543945 22.700300216674805 23.377399444580078 24.196300506591797 24.504499435424805 24.519100189208984 24.631000518798828 24.86750030517578 24.99370002746582 25.459999084472656  kg m-3	20 options
descentRate	= (ANY) -0.12099999934434891 0.11900000274181366 0.13300000131130219 0.13500000536441803 0.1420000046491623 0.14399999380111694 0.15199999511241913 0.15299999713897705 0.1679999977350235 0.17000000178813934 0.17100000381469727 0.1770000010728836 0.17900000512599945 0.19599999487400055 0.20800000429153442 0.21899999678134918 0.22100000083446503 0.2240000069141388 0.39899998903274536  meters per second	19 options
transmission	= (ANY) 1.7869999408721924 1.8539999723434448 1.9450000524520874 2.138000011444092 2.1740000247955322 2.48799991607666 2.572999954223633 2.5959999561309814 2.6610000133514404 2.6619999408721924 2.694000005722046 2.7100000381469727 2.740000009536743 2.806999921798706 3.065999984741211 3.388000011444092 3.447999954223633 3.556999921798706 3.6710000038146973 3.683000087738037  percent	20 options
par	= (ANY) -9.0  umol m-2 s-1	1 option: -9.0
parv	= (ANY) -9.0  volts	1 option: -9.0
fluorescence	= (ANY) 1.7289999723434448 1.7300000190734863 1.7710000276565552 1.7940000295639038 1.809999942779541 1.8109999895095825 1.8209999799728394 1.8250000476837158 1.8329999446868896 1.8609999418258667 1.8769999742507935 1.9010000228881836 1.909999966621399 1.9459999799728394 1.9579999446868896 1.9730000495910645 2.000999927520752 2.002000093460083 2.0190000534057617  volts	19 options
backscattering	= (ANY) 0.46000000834465027 0.48399999737739563 0.6740000247955322 0.6869999766349792 0.7200000286102295 0.765999972820282 0.9559999704360962 1.121000051498413 1.1390000581741333 1.2339999675750732 1.2359999418258667 1.2630000114440918 1.378000020980835 1.4279999732971191 1.8250000476837158 1.996999979019165 2.244999885559082 2.5290000438690186 2.757999897003174 2.809999942779541  volts	20 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)  

pressure	depth	temperature	potentialTemperature	conductivity	salinity	sigmat	descentRate	transmission	par	parv	fluorescence	backscattering
dBar	m	degree_C	degree_C	Siemens per meter	PSU	kg m-3	meters per second	percent	umol m-2 s-1	volts	volts	volts
2.5	2.5	25.843799591064453	25.843299865722656	3.3215999603271484	20.395099639892578	12.101900100708008	0.20800000429153442	2.6610000133514404	-9.0	-9.0	1.8109999895095825	1.378000020980835
3.0	3.0	25.83009910583496	25.829500198364258	3.3815999031066895	20.8085994720459	12.415800094604492	0.39899998903274536	2.7100000381469727	-9.0	-9.0	1.8209999799728394	1.2630000114440918
3.5	3.5	25.671899795532227	25.671199798583984	3.4719998836517334	21.49679946899414	12.977899551391602	0.2240000069141388	2.694000005722046	-9.0	-9.0	1.8250000476837158	1.2359999418258667
4.0	4.0	25.41550064086914	25.41469955444336	3.669100046157837	22.978099822998047	14.16409969329834	0.22100000083446503	2.6619999408721924	-9.0	-9.0	1.8329999446868896	1.2339999675750732
4.5	4.5	25.1427001953125	25.141799926757812	3.8269999027252197	24.219999313354492	15.176400184631348	0.17100000381469727	2.740000009536743	-9.0	-9.0	1.8609999418258667	1.1390000581741333
5.0	5.0	24.192899703979492	24.1919002532959	4.046999931335449	26.316699981689453	17.027999877929688	0.17000000178813934	2.806999921798706	-9.0	-9.0	1.8769999742507935	1.121000051498413
5.5	5.5	23.18429946899414	23.18320083618164	4.224999904632568	28.239200592041016	18.763999938964844	0.1770000010728836	2.572999954223633	-9.0	-9.0	1.9010000228881836	1.8250000476837158
6.0	6.0	22.90369987487793	22.90250015258789	4.291299819946289	28.916400909423828	19.354299545288086	0.21899999678134918	2.1740000247955322	-9.0	-9.0	1.9459999799728394	2.5290000438690186
6.5	6.5	22.333799362182617	22.332500457763672	4.417200088500977	30.25510025024414	20.52560043334961	0.1679999977350235	1.9450000524520874	-9.0	-9.0	1.9730000495910645	2.757999897003174
7.0	7.0	21.944400787353516	21.94300079345703	4.512899875640869	31.26740074157715	21.400100708007812	0.15299999713897705	1.7869999408721924	-9.0	-9.0	2.002000093460083	2.809999942779541
7.599999904632568	7.5	21.79509925842285	21.79360008239746	4.581600189208984	31.90959930419922	21.928300857543945	0.19599999487400055	1.8539999723434448	-9.0	-9.0	2.0190000534057617	2.244999885559082
8.100000381469727	8.0	21.636999130249023	21.635400772094727	4.689199924468994	32.86940002441406	22.700300216674805	0.13500000536441803	2.138000011444092	-9.0	-9.0	2.000999927520752	1.4279999732971191
8.600000381469727	8.5	21.28459930419922	21.283000946044922	4.751500129699707	33.63370132446289	23.377399444580078	0.14399999380111694	2.5959999561309814	-9.0	-9.0	1.909999966621399	0.9559999704360962
9.100000381469727	9.0	20.610700607299805	20.608999252319336	4.788899898529053	34.47050094604492	24.196300506591797	0.13300000131130219	3.065999984741211	-9.0	-9.0	1.809999942779541	0.6869999766349792
9.600000381469727	9.5	20.277999877929688	20.276199340820312	4.790800094604492	34.75849914550781	24.504499435424805	0.11900000274181366	3.447999954223633	-9.0	-9.0	1.7710000276565552	0.48399999737739563
10.100000381469727	10.0	20.2460994720459	20.244199752807617	4.788599967956543	34.7666015625	24.519100189208984	0.1420000046491623	3.6710000038146973	-9.0	-9.0	1.7300000190734863	0.46000000834465027
10.600000381469727	10.5	20.130699157714844	20.128700256347656	4.789999961853027	34.873199462890625	24.631000518798828	0.15199999511241913	3.683000087738037	-9.0	-9.0	1.7289999723434448	0.6740000247955322
11.100000381469727	11.0	19.9778995513916	19.975900650024414	4.8059000968933105	35.13029861450195	24.86750030517578	0.17900000512599945	3.556999921798706	-9.0	-9.0	1.7940000295639038	0.7200000286102295
11.600000381469727	11.5	19.906999588012695	19.90489959716797	4.815899848937988	35.27109909057617	24.99370002746582	0.14399999380111694	3.388000011444092	-9.0	-9.0	1.8329999446868896	0.765999972820282
12.100000381469727	12.0	19.63559913635254	19.633399963378906	4.8506999015808105	35.788700103759766	25.459999084472656	-0.12099999934434891	2.48799991607666	-9.0	-9.0	1.9579999446868896	1.996999979019165

In total, there are 20 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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