ERDDAP > tabledap > Subset

Dataset Title:	"LATEX CTD - d93g141.nc - 29.27N, 94.0W - 1993-11-14"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93g141)
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: 20)
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) 2.5 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 9.600000381469727 10.100000381469727 10.600000381469727 11.100000381469727 11.600000381469727 12.100000381469727  dBar	20 options
depth	= (ANY) 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 10.5 11.0 11.5 12.0  m	20 options
temperature	= (ANY) 21.075899124145508 21.08209991455078 21.08370018005371 21.08650016784668 21.086599349975586 21.091999053955078 21.09309959411621 21.093399047851562 21.09480094909668 21.096900939941406 21.097000122070312 21.099000930786133 21.106599807739258 21.106700897216797 21.109399795532227 21.109800338745117 21.111099243164062 21.116199493408203 21.11840057373047 21.122299194335938  degree_C	20 options
potentialTemperature	= (ANY) 21.074199676513672 21.0802001953125 21.081899642944336 21.08489990234375 21.085100173950195 21.090999603271484 21.091800689697266 21.092100143432617 21.093700408935547 21.095500946044922 21.09600067138672 21.097900390625 21.10580062866211 21.106000900268555 21.108800888061523 21.109500885009766 21.111000061035156 21.115699768066406 21.118200302124023 21.12190055847168  degree_C	20 options
conductivity	= (ANY) 4.611800193786621 4.612800121307373 4.61299991607666 4.61329984664917 4.613500118255615 4.614299774169922 4.614500045776367 4.61460018157959 4.614699840545654 4.6149001121521 4.615099906921387 4.615799903869629 4.616099834442139 4.616199970245361 4.616700172424316 4.6168999671936035 4.617400169372559  Siemens per meter	17 options
salinity	= (ANY) 32.69049835205078 32.692298889160156 32.69459915161133 32.695098876953125 32.69609832763672 32.69900131225586 32.69919967651367 32.699501037597656 32.69960021972656 32.69990158081055 32.700199127197266 32.70090103149414 32.70109939575195 32.70130157470703 32.70159912109375 32.701698303222656  PSU	16 options
sigmat	= (ANY) 22.713899612426758 22.714500427246094 22.71500015258789 22.71649932861328 22.716699600219727 22.716999053955078 22.717500686645508 22.71809959411621 22.718399047851562 22.718900680541992 22.719499588012695 22.71980094909668 22.719900131225586 22.719999313354492 22.720500946044922  kg m-3	15 options
descentRate	= (ANY) 0.2460000067949295 0.2639999985694885 0.3230000138282776 0.32899999618530273 0.414000004529953 0.42899999022483826 0.4359999895095825 0.49399998784065247 0.5370000004768372 0.5440000295639038 0.5580000281333923 0.5789999961853027 0.6110000014305115 0.6700000166893005 0.7120000123977661 0.722000002861023 0.7229999899864197 0.7440000176429749 0.7549999952316284 0.7720000147819519  meters per second	20 options
transmission	= (ANY) 1.1859999895095825 1.1920000314712524 1.3279999494552612 1.472000002861023 1.565999984741211 1.7070000171661377 1.7239999771118164 1.7319999933242798 1.7419999837875366 1.8320000171661377 1.8459999561309814 2.0439999103546143 2.2980000972747803 2.3929998874664307 2.4489998817443848 2.4619998931884766 2.558000087738037 2.569999933242798 2.63700008392334  percent	19 options
par	= (ANY) 3.690000057220459 5.46999979019165 12.800000190734863 17.799999237060547 22.600000381469727 27.5 42.900001525878906 71.4000015258789 98.0999984741211 116.0 125.0 130.0 166.0 252.0 369.0 532.0 738.0 831.0 1120.0 1600.0  umol m-2 s-1	20 options
parv	= (ANY) 0.8550000190734863 1.0260000228881836 1.3960000276565552 1.5379999876022339 1.6430000066757202 1.7269999980926514 1.9210000038146973 2.1419999599456787 2.2799999713897705 2.3510000705718994 2.385999917984009 2.4010000228881836 2.507999897003174 2.688999891281128 2.8550000190734863 3.0139999389648438 3.1559998989105225 3.2079999446868896 3.3359999656677246 3.490999937057495  volts	20 options
fluorescence	= (ANY) 1.9140000343322754 1.9220000505447388 1.9390000104904175 1.9550000429153442 1.9600000381469727 1.9620000123977661 1.9630000591278076 1.9639999866485596 1.965999960899353 1.972000002861023 1.9819999933242798 1.9900000095367432 1.9919999837875366 1.9930000305175781 1.996999979019165 2.002000093460083 2.003000020980835 2.00600004196167 2.009000062942505  volts	19 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
2.5	2.5	21.111099243164062	21.111000061035156	4.616199970245361	32.70159912109375	22.716699600219727	0.2460000067949295	2.3929998874664307	1600.0	3.490999937057495	1.9140000343322754	-9.0
3.0	3.0	21.11840057373047	21.118200302124023	4.6168999671936035	32.70130157470703	22.714500427246094	0.3230000138282776	2.4489998817443848	1120.0	3.3359999656677246	1.9220000505447388	-9.0
3.5	3.5	21.109800338745117	21.109500885009766	4.616099834442139	32.70090103149414	22.71649932861328	0.32899999618530273	2.4619998931884766	831.0	3.2079999446868896	1.9390000104904175	-9.0
4.0	4.0	21.122299194335938	21.12190055847168	4.617400169372559	32.701698303222656	22.713899612426758	0.5580000281333923	2.558000087738037	738.0	3.1559998989105225	1.9639999866485596	-9.0
4.5	4.5	21.116199493408203	21.115699768066406	4.616700172424316	32.70109939575195	22.71500015258789	0.7440000176429749	2.63700008392334	532.0	3.0139999389648438	1.972000002861023	-9.0
5.0	5.0	21.109399795532227	21.108800888061523	4.616099834442139	32.70090103149414	22.716699600219727	0.7549999952316284	2.569999933242798	369.0	2.8550000190734863	1.9900000095367432	-9.0
5.5	5.5	21.106700897216797	21.106000900268555	4.615799903869629	32.700199127197266	22.716999053955078	0.6110000014305115	2.2980000972747803	252.0	2.688999891281128	2.003000020980835	-9.0
6.0	6.0	21.106599807739258	21.10580062866211	4.615799903869629	32.700199127197266	22.716999053955078	0.4359999895095825	2.0439999103546143	166.0	2.507999897003174	2.009000062942505	-9.0
6.5	6.5	21.096900939941406	21.09600067138672	4.614699840545654	32.69919967651367	22.718900680541992	0.5440000295639038	1.8459999561309814	130.0	2.4010000228881836	2.00600004196167	-9.0
7.0	7.0	21.091999053955078	21.090999603271484	4.614299774169922	32.699501037597656	22.720500946044922	0.7120000123977661	1.7319999933242798	125.0	2.385999917984009	2.002000093460083	-9.0
7.5	7.5	21.099000930786133	21.097900390625	4.615099906921387	32.69990158081055	22.718900680541992	0.7720000147819519	1.7419999837875366	116.0	2.3510000705718994	1.996999979019165	-9.0
8.0	8.0	21.09480094909668	21.093700408935547	4.61460018157959	32.69960021972656	22.71980094909668	0.722000002861023	1.7319999933242798	98.0999984741211	2.2799999713897705	1.9930000305175781	-9.0
8.5	8.5	21.093399047851562	21.092100143432617	4.614500045776367	32.69919967651367	22.719900131225586	0.5789999961853027	1.7239999771118164	71.4000015258789	2.1419999599456787	1.9919999837875366	-9.0
9.0	9.0	21.09309959411621	21.091800689697266	4.614500045776367	32.69900131225586	22.719900131225586	0.414000004529953	1.7070000171661377	42.900001525878906	1.9210000038146973	1.9819999933242798	-9.0
9.600000381469727	9.5	21.08650016784668	21.085100173950195	4.613500118255615	32.69609832763672	22.719499588012695	0.49399998784065247	1.472000002861023	27.5	1.7269999980926514	1.9630000591278076	-9.0
10.100000381469727	10.0	21.097000122070312	21.095500946044922	4.6149001121521	32.69900131225586	22.718900680541992	0.6700000166893005	1.8320000171661377	22.600000381469727	1.6430000066757202	1.9620000123977661	-9.0
10.600000381469727	10.5	21.086599349975586	21.08489990234375	4.61329984664917	32.69459915161133	22.718399047851562	0.7229999899864197	1.565999984741211	17.799999237060547	1.5379999876022339	1.965999960899353	-9.0
11.100000381469727	11.0	21.075899124145508	21.074199676513672	4.611800193786621	32.69049835205078	22.71809959411621	0.5370000004768372	1.1920000314712524	12.800000190734863	1.3960000276565552	1.9550000429153442	-9.0
11.600000381469727	11.5	21.08370018005371	21.081899642944336	4.612800121307373	32.692298889160156	22.717500686645508	0.42899999022483826	1.3279999494552612	5.46999979019165	1.0260000228881836	1.9600000381469727	-9.0
12.100000381469727	12.0	21.08209991455078	21.0802001953125	4.61299991607666	32.695098876953125	22.719999313354492	0.2639999985694885	1.1859999895095825	3.690000057220459	0.8550000190734863	1.9620000123977661	-9.0

In total, there are 20 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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