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Dataset Title:	"NEGOM CTD - n4l07s00.nc - 29.74N, 85.42W - 1998-11-20"
Institution:	OCEAN.TAMU   (Dataset ID: negom_n4l07s00)
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) 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  dBar	15 options
depth	= (ANY) 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  m	15 options
temperature	= (ANY) 22.96660041809082 23.004600524902344 23.009599685668945 23.029499053955078 23.052200317382812 23.081199645996094 23.09910011291504 23.13089942932129 23.14299964904785 23.148399353027344 23.165000915527344 23.171199798583984 23.174400329589844 23.17530059814453 23.18000030517578  degree_C	15 options
potentialTemperature	= (ANY) 22.965999603271484 23.0039005279541 23.00909996032715 23.028600692749023 23.051799774169922 23.080400466918945 23.098100662231445 23.12969970703125 23.141199111938477 23.147300720214844 23.163400650024414 23.16990089416504 23.17289924621582 23.173599243164062 23.178600311279297  degree_C	15 options
conductivity	= (ANY) 4.951900005340576 4.961100101470947 4.962900161743164 4.967599868774414 4.973999977111816 4.981299877166748 4.986299991607666 4.993599891662598 4.997799873352051 5.003600120544434 5.007999897003174 5.011499881744385 5.01609992980957 5.0254998207092285 5.053500175476074  Siemens per meter	15 options
salinity	= (ANY) 33.890499114990234 33.93149948120117 33.94219970703125 33.962100982666016 33.994598388671875 34.0275993347168 34.05139923095703 34.08290100097656 34.101200103759766 34.12770080566406 34.15420150756836 34.18539810180664 34.22779846191406 34.29180145263672 34.53160095214844  PSU	15 options
sigmat	= (ANY) 23.102100372314453 23.122299194335938 23.1289005279541 23.138500213623047 23.156400680541992 23.173200607299805 23.186100006103516 23.200899124145508 23.209699630737305 23.22330093383789 23.24090003967285 23.266199111938477 23.301000595092773 23.346599578857422 23.537700653076172  kg m-3	15 options
descentRate	= (ANY) 0.08699999749660492 0.1420000046491623 0.14399999380111694 0.1509999930858612 0.15399999916553497 0.15700000524520874 0.16300000250339508 0.16599999368190765 0.1679999977350235 0.1720000058412552 0.18700000643730164 0.22100000083446503 0.22599999606609344 0.24300000071525574  meters per second	14 options
transmission	= (ANY) 3.6459999084472656 3.684000015258789 3.688999891281128 3.690000057220459 3.691999912261963 3.703000068664551 3.73799991607666 3.7739999294281006 3.8299999237060547 3.8450000286102295 3.8469998836517334 3.8529999256134033 3.8610000610351562 3.885999917984009  percent	14 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) 1.3209999799728394 1.3279999494552612 1.3289999961853027 1.3370000123977661 1.350000023841858 1.3559999465942383 1.3569999933242798 1.3680000305175781 1.36899995803833 1.3700000047683716 1.3769999742507935 1.3860000371932983 1.3949999809265137 1.402999997138977 1.4210000038146973  volts	15 options
backscattering	= (ANY) 0.4000000059604645 0.40799999237060547 0.43700000643730164 0.4659999907016754 0.47200000286102295 0.4779999852180481 0.5350000262260437 0.5929999947547913 0.6209999918937683 0.6610000133514404 0.6660000085830688 0.6769999861717224 0.6779999732971191 0.6800000071525574 0.6859999895095825  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
2.0	2.0	23.052200317382812	23.051799774169922	4.973999977111816	33.994598388671875	23.156400680541992	0.08699999749660492	3.8469998836517334	-9.0	-9.0	1.3289999961853027	0.47200000286102295
2.5	2.5	23.009599685668945	23.00909996032715	4.962900161743164	33.94219970703125	23.1289005279541	0.15700000524520874	3.885999917984009	-9.0	-9.0	1.3209999799728394	0.4659999907016754
3.0	3.0	22.96660041809082	22.965999603271484	4.951900005340576	33.890499114990234	23.102100372314453	0.1720000058412552	3.8529999256134033	-9.0	-9.0	1.3700000047683716	0.43700000643730164
3.5	3.5	23.004600524902344	23.0039005279541	4.961100101470947	33.93149948120117	23.122299194335938	0.15399999916553497	3.8450000286102295	-9.0	-9.0	1.3569999933242798	0.40799999237060547
4.0	4.0	23.081199645996094	23.080400466918945	4.981299877166748	34.0275993347168	23.173200607299805	0.1679999977350235	3.8450000286102295	-9.0	-9.0	1.3279999494552612	0.4000000059604645
4.5	4.5	23.029499053955078	23.028600692749023	4.967599868774414	33.962100982666016	23.138500213623047	0.16599999368190765	3.8610000610351562	-9.0	-9.0	1.3370000123977661	0.4779999852180481
5.0	5.0	23.09910011291504	23.098100662231445	4.986299991607666	34.05139923095703	23.186100006103516	0.14399999380111694	3.8299999237060547	-9.0	-9.0	1.350000023841858	0.5350000262260437
5.5	5.5	23.148399353027344	23.147300720214844	4.997799873352051	34.101200103759766	23.209699630737305	0.18700000643730164	3.7739999294281006	-9.0	-9.0	1.3559999465942383	0.5929999947547913
6.0	6.0	23.13089942932129	23.12969970703125	4.993599891662598	34.08290100097656	23.200899124145508	0.1509999930858612	3.73799991607666	-9.0	-9.0	1.3680000305175781	0.6209999918937683
6.5	6.5	23.171199798583984	23.16990089416504	5.003600120544434	34.12770080566406	23.22330093383789	0.22599999606609344	3.703000068664551	-9.0	-9.0	1.36899995803833	0.6779999732971191
7.0	7.0	23.18000030517578	23.178600311279297	5.007999897003174	34.15420150756836	23.24090003967285	0.1679999977350235	3.691999912261963	-9.0	-9.0	1.3769999742507935	0.6769999861717224
7.599999904632568	7.5	23.174400329589844	23.17289924621582	5.011499881744385	34.18539810180664	23.266199111938477	0.22100000083446503	3.690000057220459	-9.0	-9.0	1.3860000371932983	0.6610000133514404
8.100000381469727	8.0	23.165000915527344	23.163400650024414	5.01609992980957	34.22779846191406	23.301000595092773	0.1420000046491623	3.688999891281128	-9.0	-9.0	1.402999997138977	0.6660000085830688
8.600000381469727	8.5	23.17530059814453	23.173599243164062	5.0254998207092285	34.29180145263672	23.346599578857422	0.24300000071525574	3.684000015258789	-9.0	-9.0	1.3949999809265137	0.6859999895095825
9.100000381469727	9.0	23.14299964904785	23.141199111938477	5.053500175476074	34.53160095214844	23.537700653076172	0.16300000250339508	3.6459999084472656	-9.0	-9.0	1.4210000038146973	0.6800000071525574

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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