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Dataset Title:	"NEGOM CTD - n3l11s01.nc - 27.5N, 82.85W - 1998-07-28"
Institution:	OCEAN.TAMU   (Dataset ID: negom_n3l11s01)
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: 12)
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  dBar	12 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  m	12 options
temperature	= (ANY) 30.15250015258789 30.152999877929688 30.154399871826172 30.154600143432617 30.154800415039062 30.15489959716797 30.155000686645508 30.155500411987305 30.1560001373291 30.156099319458008  degree_C	10 options
potentialTemperature	= (ANY) 30.150400161743164 30.150999069213867 30.15290069580078 30.152999877929688 30.153400421142578 30.153499603271484 30.153799057006836 30.153900146484375 30.154199600219727 30.155000686645508 30.15519905090332  degree_C	11 options
conductivity	= (ANY) 5.714399814605713 5.7144999504089355 5.714600086212158 5.714700222015381 5.714799880981445  Siemens per meter	5 options
salinity	= (ANY) 34.07149887084961 34.07160186767578 34.07170104980469 34.071800231933594 34.0718994140625 34.071998596191406 34.07229995727539 34.072601318359375  PSU	8 options
sigmat	= (ANY) 20.9773006439209 20.977399826049805 20.977800369262695 20.97800064086914 20.978099822998047 20.978200912475586 20.978500366210938 20.979000091552734 20.97920036315918 20.979299545288086  kg m-3	10 options
descentRate	= (ANY) 0.15399999916553497 0.1679999977350235 0.16899999976158142 0.17399999499320984 0.1860000044107437 0.18700000643730164 0.19099999964237213 0.2029999941587448 0.2199999988079071 0.22200000286102295 0.2709999978542328 0.289000004529953  meters per second	12 options
transmission	= (ANY) 4.290999889373779 4.293000221252441 4.294000148773193 4.295000076293945 4.296000003814697 4.296999931335449 4.297999858856201  percent	7 options
par	= (ANY) 60.54999923706055 64.62000274658203 69.62000274658203 75.91999816894531 83.2699966430664 90.69999694824219 98.94000244140625 107.80000305175781 117.30000305175781 131.10000610351562 140.6999969482422 150.8000030517578  umol m-2 s-1	12 options
parv	= (ANY) 2.0810000896453857 2.1089999675750732 2.1419999599456787 2.178999900817871 2.2190001010894775 2.25600004196167 2.2939999103546143 2.3310000896453857 2.368000030517578 2.4170000553131104 2.447000026702881 2.4769999980926514  volts	12 options
fluorescence	= (ANY) 1.121999979019165 1.1339999437332153 1.1349999904632568 1.1360000371932983 1.1390000581741333 1.1399999856948853 1.1449999809265137 1.149999976158142 1.156000018119812  volts	9 options
backscattering	= (ANY) 0.12099999934434891 0.12999999523162842 0.13199999928474426 0.13300000131130219 0.1340000033378601 0.13500000536441803 0.13699999451637268 0.1379999965429306  volts	8 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	30.154600143432617	30.153799057006836	5.714399814605713	34.071800231933594	20.97800064086914	0.15399999916553497	4.296000003814697	140.6999969482422	2.447000026702881	1.1339999437332153	0.12099999934434891
3.5	3.5	30.156099319458008	30.15519905090332	5.714600086212158	34.07149887084961	20.9773006439209	0.2709999978542328	4.296000003814697	150.8000030517578	2.4769999980926514	1.149999976158142	0.13199999928474426
4.0	4.0	30.1560001373291	30.155000686645508	5.714600086212158	34.07149887084961	20.977399826049805	0.289000004529953	4.290999889373779	131.10000610351562	2.4170000553131104	1.1390000581741333	0.13699999451637268
4.5	4.5	30.155000686645508	30.153900146484375	5.7144999504089355	34.07160186767578	20.977800369262695	0.19099999964237213	4.294000148773193	117.30000305175781	2.368000030517578	1.1449999809265137	0.13500000536441803
5.0	5.0	30.155500411987305	30.154199600219727	5.714700222015381	34.072601318359375	20.978500366210938	0.17399999499320984	4.295000076293945	107.80000305175781	2.3310000896453857	1.1390000581741333	0.1340000033378601
5.5	5.5	30.15489959716797	30.153499603271484	5.714600086212158	34.07170104980469	20.978099822998047	0.2199999988079071	4.296999931335449	98.94000244140625	2.2939999103546143	1.156000018119812	0.13300000131130219
6.0	6.0	30.154399871826172	30.15290069580078	5.714600086212158	34.0718994140625	20.978500366210938	0.2029999941587448	4.297999858856201	90.69999694824219	2.25600004196167	1.1349999904632568	0.13500000536441803
6.5	6.5	30.155000686645508	30.153400421142578	5.714600086212158	34.071800231933594	20.978200912475586	0.1860000044107437	4.295000076293945	83.2699966430664	2.2190001010894775	1.121999979019165	0.1379999965429306
7.0	7.0	30.154800415039062	30.152999877929688	5.714700222015381	34.071998596191406	20.978500366210938	0.22200000286102295	4.295000076293945	75.91999816894531	2.178999900817871	1.1399999856948853	0.13300000131130219
7.599999904632568	7.5	30.154800415039062	30.15290069580078	5.714799880981445	34.072601318359375	20.979000091552734	0.1679999977350235	4.294000148773193	69.62000274658203	2.1419999599456787	1.1390000581741333	0.13699999451637268
8.100000381469727	8.0	30.152999877929688	30.150999069213867	5.7144999504089355	34.07229995727539	20.979299545288086	0.18700000643730164	4.293000221252441	64.62000274658203	2.1089999675750732	1.1360000371932983	0.12999999523162842
8.600000381469727	8.5	30.15250015258789	30.150400161743164	5.714399814605713	34.071800231933594	20.97920036315918	0.16899999976158142	4.294000148773193	60.54999923706055	2.0810000896453857	1.149999976158142	0.13699999451637268

In total, there are 12 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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