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Dataset Title:	"NEGOM CTD - n6l10s01.nc - 28.61N, 83.07W - 1999-00-22"
Institution:	OCEAN.TAMU   (Dataset ID: negom_n6l10s01)
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: 18)
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) 1.5 2.0 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  dBar	18 options
depth	= (ANY) 1.5 2.0 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  m	18 options
temperature	= (ANY) 30.60300064086914 30.616100311279297 30.618799209594727 30.62150001525879 30.622400283813477 30.62310028076172 30.62459945678711 30.62529945373535 30.626699447631836 30.62689971923828 30.62809944152832 30.6294002532959 30.629499435424805 30.629600524902344 30.62980079650879  degree_C	15 options
potentialTemperature	= (ANY) 30.60260009765625 30.6156005859375 30.616300582885742 30.6200008392334 30.620899200439453 30.622299194335938 30.62310028076172 30.624900817871094 30.62579917907715 30.62619972229004 30.627700805664062 30.62779998779297 30.627899169921875 30.628299713134766 30.628400802612305 30.62849998474121  degree_C	16 options
conductivity	= (ANY) 5.990300178527832 5.991700172424316 5.992099761962891 5.992400169372559 5.992599964141846 5.9928998947143555 5.993100166320801 5.993199825286865 5.9934000968933105 5.993500232696533 5.993599891662598 5.99370002746582  Siemens per meter	12 options
salinity	= (ANY) 35.60100173950195 35.602699279785156 35.602901458740234 35.60319900512695 35.60380172729492 35.60390090942383 35.604000091552734 35.60409927368164 35.60419845581055 35.60430145263672 35.604400634765625 35.604698181152344 35.604801177978516  PSU	13 options
sigmat	= (ANY) 21.962499618530273 21.96269989013672 21.96299934387207 21.96310043334961 21.96339988708496 21.963499069213867 21.964099884033203 21.964399337768555 21.964500427246094 21.964599609375 21.964799880981445 21.965499877929688 21.96619987487793 21.970600128173828  kg m-3	14 options
descentRate	= (ANY) -0.013000000268220901 0.13199999928474426 0.15800000727176666 0.16699999570846558 0.16899999976158142 0.17299999296665192 0.1770000010728836 0.1899999976158142 0.19499999284744263 0.19599999487400055 0.19900000095367432 0.20800000429153442 0.22100000083446503 0.22699999809265137 0.23399999737739563 0.24899999797344208 0.26100000739097595  meters per second	17 options
transmission	= (ANY) 3.861999988555908 3.867000102996826 3.868000030517578 3.869999885559082 3.874000072479248 3.875 3.875999927520752 3.877000093460083 3.878000020980835 3.878999948501587 3.88100004196167 3.8940000534057617  percent	12 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) 1.5770000219345093 1.5889999866485596 1.593999981880188 1.5980000495910645 1.5989999771118164 1.600000023841858 1.6039999723434448 1.6050000190734863 1.6059999465942383 1.6069999933242798 1.6119999885559082 1.6169999837875366 1.621000051498413 1.6239999532699585 1.625 1.628000020980835 1.6330000162124634  volts	17 options
backscattering	= (ANY) -9.0  volts	1 option: -9.0

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

 

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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
1.5	1.5	30.60300064086914	30.60260009765625	5.990300178527832	35.602699279785156	21.970600128173828	0.13199999928474426	3.8940000534057617	-9.0	-9.0	1.5770000219345093	-9.0
2.0	2.0	30.616100311279297	30.6156005859375	5.991700172424316	35.602901458740234	21.96619987487793	0.16899999976158142	3.878999948501587	-9.0	-9.0	1.6069999933242798	-9.0
2.5	2.5	30.62150001525879	30.620899200439453	5.992400169372559	35.602901458740234	21.964399337768555	0.19900000095367432	3.878000020980835	-9.0	-9.0	1.593999981880188	-9.0
3.0	3.0	30.62310028076172	30.622299194335938	5.992599964141846	35.60319900512695	21.964099884033203	0.22699999809265137	3.867000102996826	-9.0	-9.0	1.6059999465942383	-9.0
3.5	3.5	30.626699447631836	30.62579917907715	5.993100166320801	35.60380172729492	21.96339988708496	0.15800000727176666	3.88100004196167	-9.0	-9.0	1.628000020980835	-9.0
4.0	4.0	30.629499435424805	30.62849998474121	5.9934000968933105	35.60390090942383	21.962499618530273	0.26100000739097595	3.877000093460083	-9.0	-9.0	1.6119999885559082	-9.0
4.5	4.5	30.6294002532959	30.628299713134766	5.993500232696533	35.60409927368164	21.96269989013672	0.19499999284744263	3.878999948501587	-9.0	-9.0	1.6050000190734863	-9.0
5.0	5.0	30.629600524902344	30.628299713134766	5.993500232696533	35.60380172729492	21.962499618530273	0.20800000429153442	3.875	-9.0	-9.0	1.5889999866485596	-9.0
5.5	5.5	30.62980079650879	30.628400802612305	5.993599891662598	35.604698181152344	21.96310043334961	0.22100000083446503	3.874000072479248	-9.0	-9.0	1.600000023841858	-9.0
6.0	6.0	30.6294002532959	30.627899169921875	5.993599891662598	35.60419845581055	21.96299934387207	0.16699999570846558	3.875999927520752	-9.0	-9.0	1.6330000162124634	-9.0
6.5	6.5	30.6294002532959	30.62779998779297	5.99370002746582	35.604801177978516	21.963499069213867	0.24899999797344208	3.869999885559082	-9.0	-9.0	1.625	-9.0
7.0	7.0	30.629499435424805	30.627700805664062	5.993599891662598	35.60430145263672	21.96310043334961	0.17299999296665192	3.878000020980835	-9.0	-9.0	1.628000020980835	-9.0
7.599999904632568	7.5	30.62809944152832	30.62619972229004	5.993500232696533	35.604000091552734	21.96339988708496	0.19599999487400055	3.874000072479248	-9.0	-9.0	1.621000051498413	-9.0
8.100000381469727	8.0	30.62689971923828	30.624900817871094	5.9934000968933105	35.604400634765625	21.964099884033203	0.20800000429153442	3.861999988555908	-9.0	-9.0	1.6169999837875366	-9.0
8.600000381469727	8.5	30.62529945373535	30.62310028076172	5.993199825286865	35.60409927368164	21.964500427246094	0.1899999976158142	3.875999927520752	-9.0	-9.0	1.6039999723434448	-9.0
9.100000381469727	9.0	30.62459945678711	30.622299194335938	5.993100166320801	35.60409927368164	21.964799880981445	0.23399999737739563	3.875	-9.0	-9.0	1.5989999771118164	-9.0
9.600000381469727	9.5	30.622400283813477	30.6200008392334	5.9928998947143555	35.604000091552734	21.965499877929688	0.1770000010728836	3.868000030517578	-9.0	-9.0	1.6239999532699585	-9.0
10.100000381469727	10.0	30.618799209594727	30.616300582885742	5.992099761962891	35.60100173950195	21.964599609375	-0.013000000268220901	3.875	-9.0	-9.0	1.5980000495910645	-9.0

In total, there are 18 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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