ERDDAP > tabledap > Subset

Dataset Title:	"LATEX CTD - d93g147.nc - 29.17N, 94.8W - 1993-11-15"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93g147)
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: 21)
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 12.600000381469727  dBar	21 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 12.5  m	21 options
temperature	= (ANY) 17.860200881958008 17.906299591064453 17.937700271606445 18.02989959716797 18.037599563598633 18.040000915527344 18.08799934387207 18.240299224853516 18.497400283813477 18.707799911499023 18.781400680541992 18.786100387573242 18.797000885009766 18.802600860595703 18.80929946899414 18.81060028076172 18.814599990844727 18.83169937133789 18.83679962158203 18.864500045776367 18.8976993560791  degree_C	21 options
potentialTemperature	= (ANY) 17.86009979248047 17.906200408935547 17.9375 18.029399871826172 18.037200927734375 18.03969955444336 18.087499618530273 18.239599227905273 18.496700286865234 18.707000732421875 18.78019905090332 18.784500122070312 18.79599952697754 18.800899505615234 18.80820083618164 18.80929946899414 18.813600540161133 18.830299377441406 18.83530044555664 18.86280059814453 18.89590072631836  degree_C	21 options
conductivity	= (ANY) 3.5578999519348145 3.57069993019104 3.581399917602539 3.6066999435424805 3.6078999042510986 3.6103999614715576 3.6249001026153564 3.6756999492645264 3.7702999114990234 3.8643999099731445 3.911099910736084 3.9124999046325684 3.920300006866455 3.9245998859405518 3.9270999431610107 3.9277000427246094 3.928499937057495 3.9402999877929688 3.943700075149536 3.9542999267578125 3.9691998958587646  Siemens per meter	21 options
salinity	= (ANY) 26.446199417114258 26.521900177001953 26.589500427246094 26.736799240112305 26.742000579833984 26.76129913330078 26.848400115966797 27.164600372314453 27.76799964904785 28.393699645996094 28.72450065612793 28.725400924682617 28.795700073242188 28.81529998779297 28.83209991455078 28.844200134277344 28.846099853515625 28.927200317382812 28.951499938964844 29.018400192260742 29.116500854492188  PSU	21 options
sigmat	= (ANY) 18.76729965209961 18.81439971923828 18.858699798583984 18.94969940185547 18.951900482177734 18.965999603271484 19.021400451660156 19.2268009185791 19.625900268554688 20.052400588989258 20.283700942993164 20.286800384521484 20.34000015258789 20.349199295043945 20.360700607299805 20.372499465942383 20.37299919128418 20.429100036621094 20.446399688720703 20.490699768066406 20.55739974975586  kg m-3	21 options
descentRate	= (ANY) 0.36800000071525574 0.38100001215934753 0.3869999945163727 0.39899998903274536 0.41100001335144043 0.4269999861717224 0.4440000057220459 0.453000009059906 0.4569999873638153 0.5249999761581421 0.5849999785423279 0.5879999995231628 0.6110000014305115 0.6399999856948853 0.6470000147819519 0.6629999876022339 0.7089999914169312 0.7369999885559082 0.7429999709129333 0.7730000019073486 0.7940000295639038  meters per second	21 options
transmission	= (ANY) 1.8049999475479126 1.8179999589920044 1.8259999752044678 1.86899995803833 1.937999963760376 1.9390000104904175 1.9450000524520874 1.9559999704360962 1.9630000591278076 1.9639999866485596 2.00600004196167 2.0369999408721924 2.318000078201294 2.365000009536743 2.4260001182556152 2.48799991607666 2.496000051498413 2.502000093460083 2.503000020980835 2.509999990463257 2.5220000743865967  percent	21 options
par	= (ANY) 0.5099999904632568 0.5899999737739563 0.7699999809265137  umol m-2 s-1	3 options
parv	= (ANY) 0.0 0.0560000017285347 0.17599999904632568  volts	3 options
fluorescence	= (ANY) 1.972000002861023 1.9919999837875366 1.9980000257492065 2.013000011444092 2.0160000324249268 2.0169999599456787 2.0220000743865967 2.0299999713897705 2.0350000858306885 2.0420000553131104 2.046999931335449 2.055000066757202 2.056999921798706 2.058000087738037 2.065000057220459 2.066999912261963 2.0769999027252197 2.0920000076293945 2.0929999351501465 2.0989999771118164 2.118000030517578  volts	21 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	17.860200881958008	17.86009979248047	3.5578999519348145	26.446199417114258	18.76729965209961	0.41100001335144043	2.496000051498413	0.7699999809265137	0.17599999904632568	1.9980000257492065	-9.0
3.0	3.0	17.906299591064453	17.906200408935547	3.57069993019104	26.521900177001953	18.81439971923828	0.5249999761581421	2.503000020980835	0.5899999737739563	0.0560000017285347	2.0299999713897705	-9.0
3.5	3.5	17.937700271606445	17.9375	3.581399917602539	26.589500427246094	18.858699798583984	0.5879999995231628	2.509999990463257	0.5099999904632568	0.0	2.0420000553131104	-9.0
4.0	4.0	18.040000915527344	18.03969955444336	3.6103999614715576	26.76129913330078	18.965999603271484	0.4569999873638153	2.5220000743865967	0.5099999904632568	0.0	2.0350000858306885	-9.0
4.5	4.5	18.037599563598633	18.037200927734375	3.6078999042510986	26.742000579833984	18.951900482177734	0.4440000057220459	2.502000093460083	0.5099999904632568	0.0	2.058000087738037	-9.0
5.0	5.0	18.02989959716797	18.029399871826172	3.6066999435424805	26.736799240112305	18.94969940185547	0.7369999885559082	2.48799991607666	0.5099999904632568	0.0	2.065000057220459	-9.0
5.5	5.5	18.08799934387207	18.087499618530273	3.6249001026153564	26.848400115966797	19.021400451660156	0.7940000295639038	2.4260001182556152	0.5099999904632568	0.0	2.066999912261963	-9.0
6.0	6.0	18.240299224853516	18.239599227905273	3.6756999492645264	27.164600372314453	19.2268009185791	0.6110000014305115	2.365000009536743	0.5099999904632568	0.0	2.055000066757202	-9.0
6.5	6.5	18.497400283813477	18.496700286865234	3.7702999114990234	27.76799964904785	19.625900268554688	0.39899998903274536	2.318000078201294	0.5099999904632568	0.0	2.0920000076293945	-9.0
7.0	7.0	18.707799911499023	18.707000732421875	3.8643999099731445	28.393699645996094	20.052400588989258	0.6629999876022339	2.0369999408721924	0.5099999904632568	0.0	2.118000030517578	-9.0
7.5	7.5	18.797000885009766	18.79599952697754	3.9124999046325684	28.725400924682617	20.283700942993164	0.7429999709129333	1.8259999752044678	0.5099999904632568	0.0	2.0989999771118164	-9.0
8.0	8.0	18.814599990844727	18.813600540161133	3.9270999431610107	28.83209991455078	20.360700607299805	0.6470000147819519	1.8049999475479126	0.5099999904632568	0.0	2.0929999351501465	-9.0
8.5	8.5	18.80929946899414	18.80820083618164	3.9245998859405518	28.81529998779297	20.349199295043945	0.36800000071525574	1.8179999589920044	0.5099999904632568	0.0	2.056999921798706	-9.0
9.0	9.0	18.781400680541992	18.78019905090332	3.911099910736084	28.72450065612793	20.286800384521484	0.3869999945163727	2.00600004196167	0.5099999904632568	0.0	2.0769999027252197	-9.0
9.600000381469727	9.5	18.81060028076172	18.80929946899414	3.928499937057495	28.846099853515625	20.372499465942383	0.6399999856948853	1.86899995803833	0.5099999904632568	0.0	2.046999931335449	-9.0
10.100000381469727	10.0	18.83169937133789	18.830299377441406	3.9402999877929688	28.927200317382812	20.429100036621094	0.7730000019073486	1.9639999866485596	0.5099999904632568	0.0	2.0220000743865967	-9.0
10.600000381469727	10.5	18.83679962158203	18.83530044555664	3.943700075149536	28.951499938964844	20.446399688720703	0.7089999914169312	1.9559999704360962	0.5099999904632568	0.0	2.0169999599456787	-9.0
11.100000381469727	11.0	18.786100387573242	18.784500122070312	3.920300006866455	28.795700073242188	20.34000015258789	0.453000009059906	1.9390000104904175	0.5099999904632568	0.0	2.0160000324249268	-9.0
11.600000381469727	11.5	18.802600860595703	18.800899505615234	3.9277000427246094	28.844200134277344	20.37299919128418	0.38100001215934753	1.937999963760376	0.5099999904632568	0.0	2.013000011444092	-9.0
12.100000381469727	12.0	18.864500045776367	18.86280059814453	3.9542999267578125	29.018400192260742	20.490699768066406	0.5849999785423279	1.9450000524520874	0.5099999904632568	0.0	1.972000002861023	-9.0
12.600000381469727	12.5	18.8976993560791	18.89590072631836	3.9691998958587646	29.116500854492188	20.55739974975586	0.4269999861717224	1.9630000591278076	0.5099999904632568	0.0	1.9919999837875366	-9.0

In total, there are 21 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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