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Dataset Title:	"NEGOM CTD - n9l10s01.nc - 28.61N, 83.07W - 2000-00-06"
Institution:	OCEAN.TAMU   (Dataset ID: negom_n9l10s01)
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: 15)
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) 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  dBar	15 options
depth	= (ANY) 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  m	15 options
temperature	= (ANY) 30.253599166870117 30.258100509643555 30.259199142456055 30.259599685668945 30.26020050048828 30.260799407958984 30.262500762939453 30.263200759887695 30.264400482177734 30.26460075378418 30.264799118041992 30.26490020751953 30.264999389648438 30.265399932861328  degree_C	14 options
potentialTemperature	= (ANY) 30.251800537109375 30.256500244140625 30.256900787353516 30.257200241088867 30.257699966430664 30.258899688720703 30.260400772094727 30.262399673461914 30.26259994506836 30.2632999420166 30.263399124145508 30.263700485229492 30.2637996673584 30.26449966430664  degree_C	14 options
conductivity	= (ANY) 6.124599933624268 6.125 6.12529993057251 6.125400066375732 6.1255998611450195 6.125699996948242 6.125800132751465  Siemens per meter	7 options
salinity	= (ANY) 36.76679992675781 36.76689910888672 36.766998291015625 36.7671012878418 36.7672004699707 36.76729965209961 36.767398834228516  PSU	7 options
sigmat	= (ANY) 22.960599899291992 22.960800170898438 22.960899353027344 22.96109962463379 22.961299896240234 22.96179962158203 22.962400436401367 22.96310043334961 22.963300704956055 22.96339988708496 22.965200424194336  kg m-3	11 options
descentRate	= (ANY) 0.12700000405311584 0.1459999978542328 0.15000000596046448 0.15700000524520874 0.16599999368190765 0.16699999570846558 0.1679999977350235 0.16899999976158142 0.17000000178813934 0.17900000512599945 0.18199999630451202 0.18700000643730164  meters per second	12 options
transmission	= (ANY) 3.3570001125335693 3.3580000400543213 3.359999895095825 3.3610000610351562 3.36299991607666 3.364000082015991 3.365000009536743 3.365999937057495  percent	8 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) 1.6740000247955322 1.6749999523162842 1.6770000457763672 1.6779999732971191 1.6799999475479126 1.680999994277954 1.6820000410079956 1.6829999685287476 1.684000015258789 1.687000036239624  volts	10 options
backscattering	= (ANY) 0.41200000047683716 0.41999998688697815 0.4309999942779541 0.43299999833106995 0.4339999854564667 0.4399999976158142 0.44200000166893005 0.4429999887943268 0.4440000057220459 0.44600000977516174 0.44699999690055847 0.44999998807907104 0.45100000500679016 0.45399999618530273 0.4620000123977661  volts	15 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
3.0	3.0	30.263200759887695	30.262399673461914	6.125400066375732	36.7671012878418	22.961299896240234	0.1459999978542328	3.364000082015991	-9.0	-9.0	1.680999994277954	0.4309999942779541
3.5	3.5	30.265399932861328	30.26449966430664	6.125699996948242	36.7671012878418	22.960599899291992	0.18700000643730164	3.359999895095825	-9.0	-9.0	1.680999994277954	0.45399999618530273
4.0	4.0	30.264400482177734	30.263399124145508	6.1255998611450195	36.766998291015625	22.960899353027344	0.16699999570846558	3.36299991607666	-9.0	-9.0	1.6820000410079956	0.4620000123977661
4.5	4.5	30.26490020751953	30.2637996673584	6.1255998611450195	36.76679992675781	22.960599899291992	0.18199999630451202	3.359999895095825	-9.0	-9.0	1.6749999523162842	0.4429999887943268
5.0	5.0	30.264999389648438	30.263700485229492	6.125699996948242	36.766998291015625	22.960800170898438	0.1679999977350235	3.3570001125335693	-9.0	-9.0	1.684000015258789	0.4440000057220459
5.5	5.5	30.264799118041992	30.263399124145508	6.125699996948242	36.76689910888672	22.960800170898438	0.17000000178813934	3.365000009536743	-9.0	-9.0	1.684000015258789	0.44699999690055847
6.0	6.0	30.264799118041992	30.2632999420166	6.125699996948242	36.766998291015625	22.960899353027344	0.16899999976158142	3.3610000610351562	-9.0	-9.0	1.6779999732971191	0.4339999854564667
6.5	6.5	30.258100509643555	30.256500244140625	6.125	36.7671012878418	22.963300704956055	0.17900000512599945	3.3610000610351562	-9.0	-9.0	1.6770000457763672	0.41999998688697815
7.0	7.0	30.253599166870117	30.251800537109375	6.124599933624268	36.767398834228516	22.965200424194336	0.15000000596046448	3.3570001125335693	-9.0	-9.0	1.6829999685287476	0.45100000500679016
7.599999904632568	7.5	30.260799407958984	30.258899688720703	6.12529993057251	36.766998291015625	22.962400436401367	0.15000000596046448	3.36299991607666	-9.0	-9.0	1.6799999475479126	0.44999998807907104
8.100000381469727	8.0	30.26460075378418	30.26259994506836	6.125800132751465	36.76689910888672	22.96109962463379	0.16599999368190765	3.364000082015991	-9.0	-9.0	1.6740000247955322	0.44600000977516174
8.600000381469727	8.5	30.262500762939453	30.260400772094727	6.1255998611450195	36.76689910888672	22.96179962158203	0.16899999976158142	3.365000009536743	-9.0	-9.0	1.687000036239624	0.44200000166893005
9.100000381469727	9.0	30.259199142456055	30.256900787353516	6.12529993057251	36.76729965209961	22.96339988708496	0.15000000596046448	3.364000082015991	-9.0	-9.0	1.6820000410079956	0.43299999833106995
9.600000381469727	9.5	30.259599685668945	30.257200241088867	6.12529993057251	36.7672004699707	22.96310043334961	0.15700000524520874	3.3580000400543213	-9.0	-9.0	1.6799999475479126	0.4399999976158142
10.100000381469727	10.0	30.26020050048828	30.257699966430664	6.125400066375732	36.767398834228516	22.96310043334961	0.12700000405311584	3.365999937057495	-9.0	-9.0	1.6779999732971191	0.41200000047683716

In total, there are 15 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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