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Dataset Title:	"NEGOM CTD - n5l02s00.nc - 29.8N, 88.75W - 1999-05-26"
Institution:	OCEAN.TAMU   (Dataset ID: negom_n5l02s00)
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: 22)
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 6.099999904632568 6.599999904632568 7.099999904632568 7.599999904632568 8.100000381469727 8.600000381469727 9.100000381469727 9.600000381469727 10.100000381469727 10.600000381469727 11.100000381469727 11.600000381469727 12.100000381469727 12.600000381469727 13.100000381469727 13.600000381469727  dBar	22 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 10.5 11.0 11.5 12.0 12.5 13.0 13.5  m	22 options
temperature	= (ANY) 21.70840072631836 21.709199905395508 21.720399856567383 21.758800506591797 21.91309928894043 21.986099243164062 22.100200653076172 22.52829933166504 23.087400436401367 23.263700485229492 23.62070083618164 23.900400161743164 24.412700653076172 24.739900588989258 24.92840003967285 25.218700408935547 25.507400512695312 25.74679946899414 26.143400192260742 26.516700744628906 26.943700790405273 27.083200454711914  degree_C	22 options
potentialTemperature	= (ANY) 21.705799102783203 21.706499099731445 21.717899322509766 21.756399154663086 21.91080093383789 21.98390007019043 22.098100662231445 22.52630043029785 23.085399627685547 23.26180076599121 23.618900299072266 23.898700714111328 24.411100387573242 24.738399505615234 24.927000045776367 25.21739959716797 25.506200790405273 25.74570083618164 26.14240074157715 26.51580047607422 26.942899703979492 27.082500457763672  degree_C	22 options
conductivity	= (ANY) 4.685299873352051 4.71750020980835 4.812900066375732 4.842100143432617 4.844699859619141 4.847099781036377 4.850500106811523 4.864099979400635 4.893400192260742 4.96750020980835 5.022299766540527 5.036499977111816 5.037899971008301 5.044000148773193 5.059899806976318 5.060100078582764 5.060299873352051 5.061100006103516 5.062300205230713 5.06279993057251 5.063499927520752 5.063700199127197  Siemens per meter	22 options
salinity	= (ANY) 29.08690071105957 29.398099899291992 30.340900421142578 30.79450035095215 31.08009910583496 31.26059913635254 31.484600067138672 31.785900115966797 32.1338996887207 32.91910171508789 33.71070098876953 34.03129959106445 34.31760025024414 34.50170135498047 35.08810043334961 35.438899993896484 35.53810119628906 35.599300384521484 35.706199645996094 35.72840118408203 35.739200592041016 35.7400016784668  PSU	22 options
sigmat	= (ANY) 18.245399475097656 18.5226993560791 19.36400032043457 19.82040023803711 20.15690040588379 20.365699768066406 20.62179946899414 20.936199188232422 21.255199432373047 21.945600509643555 22.69540023803711 23.020000457763672 23.340599060058594 23.531099319458008 24.13610076904297 24.523799896240234 24.63129997253418 24.698299407958984 24.822799682617188 24.850400924682617 24.86199951171875 24.86240005493164  kg m-3	22 options
descentRate	= (ANY) 0.012000000104308128 0.19099999964237213 0.20499999821186066 0.2070000022649765 0.20800000429153442 0.21299999952316284 0.2160000056028366 0.24400000274181366 0.24699999392032623 0.25200000405311584 0.2770000100135803 0.28299999237060547 0.30300000309944153 0.30799999833106995 0.3230000138282776 0.3240000009536743 0.32899999618530273 0.3319999873638153 0.3540000021457672 0.37299999594688416 0.375  meters per second	21 options
transmission	= (ANY) 2.3359999656677246 2.3510000705718994 2.5239999294281006 2.75600004196167 3.0810000896453857 3.322000026702881 3.617000102996826 3.622999906539917 3.7330000400543213 3.8259999752044678 3.924999952316284 3.938999891281128 3.9519999027252197 3.9700000286102295 3.992000102996826 3.997999906539917 4.002999782562256 4.01200008392334 4.019000053405762 4.034999847412109 4.048999786376953 4.054999828338623  percent	22 options
par	= (ANY) 74.30999755859375 89.91000366210938 100.4000015258789 112.9000015258789 127.0 140.89999389648438 154.6999969482422 174.10000610351562 199.39999389648438 232.10000610351562 276.1000061035156 306.0 362.70001220703125 412.8999938964844 473.0 513.2000122070312 624.2999877929688 760.2999877929688 908.2999877929688 1098.0 1180.0 1516.0  umol m-2 s-1	22 options
parv	= (ANY) 1.4819999933242798 1.562999963760376 1.6100000143051147 1.6610000133514404 1.7120000123977661 1.7569999694824219 1.7979999780654907 1.850000023841858 1.9079999923706055 1.9739999771118164 2.0490000247955322 2.0940001010894775 2.1679999828338623 2.2249999046325684 2.2839999198913574 2.318000078201294 2.4040000438690186 2.489000082015991 2.565999984741211 2.6459999084472656 2.680000066757202 2.7869999408721924  volts	22 options
fluorescence	= (ANY) 1.6089999675750732 1.6100000143051147 1.6130000352859497 1.6139999628067017 1.61899995803833 1.625 1.6319999694824219 1.6330000162124634 1.6339999437332153 1.6469999551773071 1.6480000019073486 1.649999976158142 1.6519999504089355 1.652999997138977 1.656999945640564 1.6640000343322754 1.6660000085830688 1.684000015258789 1.7790000438690186 1.7869999408721924 1.8380000591278076  volts	21 options
backscattering	= (ANY) 0.7860000133514404 0.7889999747276306 0.7919999957084656 0.7990000247955322 0.8130000233650208 0.8180000185966492 0.8199999928474426 0.8320000171661377 0.8330000042915344 0.847000002861023 0.8479999899864197 0.8700000047683716 0.925000011920929 0.9779999852180481 0.9800000190734863 1.0290000438690186 1.3580000400543213 1.593000054359436 1.7619999647140503 1.930999994277954 2.4040000438690186  volts	21 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	27.083200454711914	27.082500457763672	4.685299873352051	29.08690071105957	18.245399475097656	0.21299999952316284	3.622999906539917	1516.0	2.7869999408721924	1.6139999628067017	0.9800000190734863
3.5	3.5	26.943700790405273	26.942899703979492	4.71750020980835	29.398099899291992	18.5226993560791	0.3319999873638153	3.617000102996826	1180.0	2.680000066757202	1.6130000352859497	0.9779999852180481
4.0	4.0	26.516700744628906	26.51580047607422	4.812900066375732	30.340900421142578	19.36400032043457	0.30300000309944153	3.8259999752044678	1098.0	2.6459999084472656	1.625	0.925000011920929
4.5	4.5	26.143400192260742	26.14240074157715	4.842100143432617	30.79450035095215	19.82040023803711	0.19099999964237213	3.938999891281128	908.2999877929688	2.565999984741211	1.61899995803833	0.8700000047683716
5.0	5.0	25.74679946899414	25.74570083618164	4.844699859619141	31.08009910583496	20.15690040588379	0.32899999618530273	4.01200008392334	760.2999877929688	2.489000082015991	1.6089999675750732	0.8320000171661377
5.5	5.5	25.507400512695312	25.506200790405273	4.847099781036377	31.26059913635254	20.365699768066406	0.3540000021457672	4.019000053405762	624.2999877929688	2.4040000438690186	1.6100000143051147	0.7860000133514404
6.099999904632568	6.0	25.218700408935547	25.21739959716797	4.850500106811523	31.484600067138672	20.62179946899414	0.20499999821186066	3.992000102996826	513.2000122070312	2.318000078201294	1.6319999694824219	0.7889999747276306
6.599999904632568	6.5	24.92840003967285	24.927000045776367	4.864099979400635	31.785900115966797	20.936199188232422	0.28299999237060547	3.924999952316284	473.0	2.2839999198913574	1.652999997138977	0.8130000233650208
7.099999904632568	7.0	24.739900588989258	24.738399505615234	4.893400192260742	32.1338996887207	21.255199432373047	0.37299999594688416	3.9519999027252197	412.8999938964844	2.2249999046325684	1.6519999504089355	0.847000002861023
7.599999904632568	7.5	24.412700653076172	24.411100387573242	4.96750020980835	32.91910171508789	21.945600509643555	0.30799999833106995	3.9700000286102295	362.70001220703125	2.1679999828338623	1.649999976158142	0.8130000233650208
8.100000381469727	8.0	23.900400161743164	23.898700714111328	5.022299766540527	33.71070098876953	22.69540023803711	0.2070000022649765	3.997999906539917	306.0	2.0940001010894775	1.6469999551773071	0.8330000042915344
8.600000381469727	8.5	23.62070083618164	23.618900299072266	5.036499977111816	34.03129959106445	23.020000457763672	0.3230000138282776	4.048999786376953	276.1000061035156	2.0490000247955322	1.6339999437332153	0.7919999957084656
9.100000381469727	9.0	23.263700485229492	23.26180076599121	5.037899971008301	34.31760025024414	23.340599060058594	0.375	4.054999828338623	232.10000610351562	1.9739999771118164	1.6480000019073486	0.8199999928474426
9.600000381469727	9.5	23.087400436401367	23.085399627685547	5.044000148773193	34.50170135498047	23.531099319458008	0.2770000100135803	4.034999847412109	199.39999389648438	1.9079999923706055	1.6640000343322754	0.8479999899864197
10.100000381469727	10.0	22.52829933166504	22.52630043029785	5.062300205230713	35.08810043334961	24.13610076904297	0.2160000056028366	4.002999782562256	174.10000610351562	1.850000023841858	1.6660000085830688	0.7990000247955322
10.600000381469727	10.5	22.100200653076172	22.098100662231445	5.06279993057251	35.438899993896484	24.523799896240234	0.3240000009536743	3.7330000400543213	154.6999969482422	1.7979999780654907	1.684000015258789	0.8180000185966492
11.100000381469727	11.0	21.986099243164062	21.98390007019043	5.063499927520752	35.53810119628906	24.63129997253418	0.30300000309944153	3.322000026702881	140.89999389648438	1.7569999694824219	1.656999945640564	1.0290000438690186
11.600000381469727	11.5	21.91309928894043	21.91080093383789	5.063700199127197	35.599300384521484	24.698299407958984	0.24400000274181366	3.0810000896453857	127.0	1.7120000123977661	1.6330000162124634	1.3580000400543213
12.100000381469727	12.0	21.758800506591797	21.756399154663086	5.061100006103516	35.706199645996094	24.822799682617188	0.24699999392032623	2.75600004196167	112.9000015258789	1.6610000133514404	1.6640000343322754	1.593000054359436
12.600000381469727	12.5	21.720399856567383	21.717899322509766	5.059899806976318	35.72840118408203	24.850400924682617	0.25200000405311584	2.5239999294281006	100.4000015258789	1.6100000143051147	1.7869999408721924	1.7619999647140503
13.100000381469727	13.0	21.70840072631836	21.705799102783203	5.060100078582764	35.739200592041016	24.86199951171875	0.20800000429153442	2.3510000705718994	89.91000366210938	1.562999963760376	1.8380000591278076	1.930999994277954
13.600000381469727	13.5	21.709199905395508	21.706499099731445	5.060299873352051	35.7400016784668	24.86240005493164	0.012000000104308128	2.3359999656677246	74.30999755859375	1.4819999933242798	1.7790000438690186	2.4040000438690186

In total, there are 22 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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