ERDDAP > tabledap > Subset

Dataset Title:	"Profile - R1.x132.134.0066 - Acadiana-BinnedProfiles_013_03 - 28.3N, 90.53W - 2013-07-30"
Institution:	Georgia Institute of Technology   (Dataset ID: R1_x132_134_0066_Acadiana-BinnedProfiles_013_03)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 51)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

latitude	= (ANY) 28.3013 28.30132 28.30133 28.30134 28.30136 28.30137 28.30138 28.3014 28.30141 28.30142 28.30143 28.30144 28.30146 28.30147 28.30148 28.3015 28.30151 28.30152 28.30154 28.30156 28.30157 28.30158 28.3016 28.30162 28.30163 28.30164 28.30166 28.30168 28.30169 28.3017 28.30172  degrees_north	31 options
longitude	= (ANY) -90.52989 -90.52988 -90.52986 -90.52984 -90.52983 -90.52982 -90.52981 -90.5298 -90.52979 -90.52978 -90.52977 -90.52975 -90.52974 -90.52973 -90.52972 -90.52971 -90.5297 -90.52969 -90.52968 -90.52967 -90.52966 -90.52964 -90.52963 -90.52962 -90.5296 -90.52958 -90.52956 -90.52954 -90.52953 -90.52952 -90.52951 -90.5295 -90.52949 -90.52948 -90.52947 -90.52946 -90.52944 -90.52943 -90.52942 -90.5294 -90.52939 -90.52938 -90.52936 -90.52934  degrees_east	44 options
nscan	= (ANY) 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0 19.0 20.0 21.0 22.0 23.0 24.0 25.0 26.0 27.0 28.0 29.0 30.0 31.0 32.0 33.0 34.0 35.0 36.0 37.0 38.0 39.0 40.0 41.0 42.0 43.0 44.0 45.0 46.0 47.0 48.0 49.0 50.0 51.0 52.0  Unknown	51 options
depth	= (ANY) 2.013 3.02 4.027 5.034 6.04 7.047 8.054 9.06 10.067 11.074 12.081 13.088 14.095 15.101 16.108 17.115 18.122 19.129 20.135 21.142 22.149 23.156 24.163 25.17 26.176 27.183 28.19 29.197 30.204 31.211 32.218 33.224 34.231 35.238 36.245 37.252 38.259 39.266 40.273 41.28 42.286 43.293 44.3 45.307 46.314 47.321 48.328 49.335 50.342 51.349 52.356  m	51 options
temp	= (ANY) 21.9951 22.1868 22.3752 22.6693 22.8512 22.8844 22.9343 23.1394 23.2231 23.3247 23.4177 23.5085 23.6915 23.9184 24.1347 24.3023 24.5303 24.7327 24.9004 25.0408 25.1496 25.419 25.9483 26.1793 26.4053 26.61 26.9407 27.0335 27.049 27.2152 27.2539 27.325 27.8707 28.4513 29.1151 29.3428 29.3773 29.4351 29.4468 29.4474 29.4576 29.4589 29.4623 29.5217 29.5368 29.5507 29.5732 29.5752 29.6168 29.6515 29.6704  deg C	51 options
cond	= (ANY) 4.294812 4.313521 4.360336 4.456889 4.63565 4.781699 4.943736 5.003254 5.055427 5.12168 5.145219 5.170486 5.182485 5.188426 5.205065 5.218899 5.231938 5.248103 5.250459 5.255085 5.277648 5.282699 5.289112 5.29105 5.299695 5.308238 5.325763 5.345776 5.362542 5.377178 5.38384 5.405251 5.431233 5.45182 5.460285 5.464784 5.472023 5.493868 5.527971 5.528195 5.5284 5.529863 5.535173 5.538554 5.556587 5.563642 5.576331 5.59002 5.597893 5.605181 5.605471  S/m	51 options
sal	= (ANY) 25.0723 25.1864 25.4775 26.0836 27.2215 28.1915 29.3076 29.7344 30.1183 30.5699 30.7275 30.969 31.2137 31.6998 32.3763 32.9166 33.5374 34.0179 34.4268 34.8791 35.134 35.407 35.4771 35.5971 35.6701 35.7151 35.7306 35.7751 35.8783 36.0447 36.0644 36.0888 36.0925 36.0969 36.1253 36.1296 36.1365 36.145 36.1683 36.1832 36.1917 36.2011 36.22 36.2437 36.2486 36.2495 36.2575 36.282 36.3163 36.3426 36.3615  PSU	51 options
dens	= (ANY) 1014.4645 1014.5495 1014.763 1015.2063 1016.0426 1016.7778 1017.6424 1017.9831 1018.2943 1018.6416 1018.764 1018.945 1019.133 1019.5088 1020.0392 1020.4598 1021.0057 1021.5905 1022.092 1022.6132 1022.8324 1023.0546 1023.1652 1023.2649 1023.3539 1023.4975 1023.5784 1023.6875 1023.8421 1024.1366 1024.2633 1024.3258 1024.3847 1024.4251 1024.466 1024.5177 1024.5908 1024.6958 1024.7915 1024.8612 1024.8987 1024.9374 1024.9858 1025.037 1025.0966 1025.1191 1025.1398 1025.2153 1025.3299 1025.4081 1025.4812  kg/m^3	51 options
sigm	= (ANY) 14.4559 14.5364 14.7456 15.1845 16.0165 16.7475 17.6078 17.9441 18.251 18.594 18.7121 18.8888 19.0725 19.444 19.9701 20.3865 20.928 21.5085 22.0056 22.5225 22.7374 22.9553 23.0615 23.1569 23.2416 23.3808 23.4574 23.562 23.7123 24.0024 24.1247 24.1827 24.2373 24.2733 24.3097 24.3571 24.4257 24.5263 24.6176 24.6829 24.716 24.7503 24.7943 24.8411 24.8962 24.9144 24.9307 25.0018 25.1119 25.1856 25.2543  kg/m^3	51 options
oxy	= (ANY) 49.632 49.637 51.515 53.51 63.022 65.873 69.17 76.791 80.23 80.266 84.814 90.2 93.372 108.427 110.506 177.139 178.338 178.829 179.256 179.733 180.561 184.204 191.249 195.6 196.428 197.119 198.645 198.686 198.715 198.917 199.012 199.051 199.169 199.652 199.677 200.853 201.134 201.294 203.173 203.319 203.824 210.006 213.195 213.447 215.648 217.135 217.393 218.915 218.954 220.516 223.976  mmol/kg	51 options
oxy_s	= (ANY) 23.64534 23.71468 24.50277 25.66336 29.92876 31.08174 32.61109 36.18519 37.69168 38.01532 39.65099 42.03834 43.37865 52.18023 52.39433 86.29053 89.70049 89.91373 90.47601 90.93392 91.38956 94.62034 96.20957 97.84371 99.07938 99.10894 100.28256 100.4495 100.48637 100.73048 100.82644 100.85335 100.86771 100.95528 101.05293 101.14505 101.2097 101.28334 101.31785 101.90916 102.99365 103.32306 103.39784 104.84391 105.60232 105.87794 106.85525 107.00532 107.15813 108.25481 109.85151  percent saturation	51 options
oxysat	= (ANY) 194.68014 194.73526 195.28775 195.93657 196.15105 196.46265 196.75912 197.09419 197.28653 197.47555 197.79708 198.08542 198.33967 198.45157 198.55867 198.65126 198.68493 198.78631 198.89244 199.59105 199.91021 200.56088 200.74243 201.24944 201.88375 202.34689 203.24906 203.44478 203.69892 203.88953 204.29112 204.61993 205.08131 205.68568 206.43154 207.26583 207.82299 208.52406 209.28975 209.92586 210.24158 210.56475 210.90756 211.17134 211.92869 212.10481 212.21463 212.85159 213.89697 214.56555 215.2602  mmol/kg	51 options

View:      Map of Distinct 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 Distinct Data   (Refine the map and/or download the image)
Optional: Click on the map to select the closest 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)  

latitude	longitude	nscan	depth	temp	cond	sal	dens	sigm	oxy	oxy_s	oxysat
degrees_north	degrees_east	Unknown	m	deg C	S/m	PSU	kg/m^3	kg/m^3	mmol/kg	percent saturation	mmol/kg
28.3013	-90.52989	2.0	2.013	29.5368	4.294812	25.0723	1014.4645	14.4559	223.976	109.85151	203.88953
28.30132	-90.52988	3.0	3.02	29.5507	4.313521	25.1864	1014.5495	14.5364	220.516	108.25481	203.69892
28.30132	-90.52988	4.0	4.027	29.5752	4.360336	25.4775	1014.763	14.7456	210.006	103.32306	203.24906
28.30133	-90.52986	5.0	5.034	29.6168	4.456889	26.0836	1015.2063	15.1845	203.824	100.73048	202.34689
28.30134	-90.52986	6.0	6.04	29.6704	4.63565	27.2215	1016.0426	16.0165	203.319	101.28334	200.74243
28.30134	-90.52984	7.0	7.047	29.6515	4.781699	28.1915	1016.7778	16.7475	201.294	100.85335	199.59105
28.30136	-90.52984	8.0	8.054	29.5732	4.943736	29.3076	1017.6424	17.6078	200.853	101.2097	198.45157
28.30136	-90.52983	9.0	9.06	29.5217	5.003254	29.7344	1017.9831	17.9441	198.645	100.28256	198.08542
28.30137	-90.52982	10.0	10.067	29.4623	5.055427	30.1183	1018.2943	18.251	198.686	100.4495	197.79708
28.30138	-90.52981	11.0	11.074	29.4474	5.12168	30.5699	1018.6416	18.594	198.917	100.82644	197.28653
28.30138	-90.5298	12.0	12.081	29.4468	5.145219	30.7275	1018.764	18.7121	199.169	101.05293	197.09419
28.3014	-90.52979	13.0	13.088	29.4589	5.182485	30.969	1018.945	18.8888	199.012	101.14505	196.75912
28.3014	-90.52978	14.0	14.095	29.4576	5.218899	31.2137	1019.133	19.0725	199.051	101.31785	196.46265
28.30141	-90.52977	15.0	15.101	29.4351	5.289112	31.6998	1019.5088	19.444	199.677	101.90916	195.93657
28.30142	-90.52975	16.0	16.108	29.3773	5.38384	32.3763	1020.0392	19.9701	201.134	102.99365	195.28775
28.30143	-90.52974	17.0	17.115	29.3428	5.460285	32.9166	1020.4598	20.3865	196.428	100.86771	194.73526
28.30144	-90.52973	18.0	18.122	29.1151	5.5284	33.5374	1021.0057	20.928	184.204	94.62034	194.68014
28.30144	-90.52972	19.0	19.129	28.4513	5.529863	34.0179	1021.5905	21.5085	179.256	91.38956	196.15105
28.30146	-90.52971	20.0	20.135	27.8707	5.528195	34.4268	1022.092	22.0056	177.139	89.70049	197.47555
28.30146	-90.5297	21.0	21.142	27.325	5.535173	34.8791	1022.6132	22.5225	179.733	90.47601	198.65126
28.30147	-90.52969	22.0	22.149	27.2539	5.563642	35.134	1022.8324	22.7374	180.561	90.93392	198.55867
28.30148	-90.52968	23.0	23.156	27.2152	5.597893	35.407	1023.0546	22.9553	178.338	89.91373	198.33967
28.30148	-90.52967	24.0	24.163	27.049	5.59002	35.4771	1023.1652	23.0615	191.249	96.20957	198.78631
28.30148	-90.52966	25.0	25.17	27.0335	5.605181	35.5971	1023.2649	23.1569	199.652	100.48637	198.68493
28.3015	-90.52966	26.0	26.176	26.9407	5.605471	35.6701	1023.3539	23.2416	197.119	99.10894	198.89244
28.3015	-90.52964	27.0	27.183	26.61	5.576331	35.7151	1023.4975	23.3808	195.6	97.84371	199.91021
28.30151	-90.52963	28.0	28.19	26.4053	5.556587	35.7306	1023.5784	23.4574	198.715	99.07938	200.56088
28.30152	-90.52962	29.0	29.197	26.1793	5.538554	35.7751	1023.6875	23.562	203.173	100.95528	201.24944
28.30152	-90.5296	30.0	30.204	25.9483	5.527971	35.8783	1023.8421	23.7123	213.195	105.60232	201.88375
28.30154	-90.5296	31.0	31.211	25.419	5.493868	36.0447	1024.1366	24.0024	217.393	106.85525	203.44478
28.30154	-90.52958	32.0	32.218	25.1496	5.472023	36.0969	1024.2633	24.1247	218.915	107.15813	204.29112
28.30156	-90.52956	33.0	33.224	25.0408	5.464784	36.1296	1024.3258	24.1827	218.954	107.00532	204.61993
28.30156	-90.52956	34.0	34.231	24.9004	5.45182	36.145	1024.3847	24.2373	217.135	105.87794	205.08131
28.30157	-90.52954	35.0	35.238	24.7327	5.431233	36.1253	1024.4251	24.2733	215.648	104.84391	205.68568
28.30158	-90.52953	36.0	36.245	24.5303	5.405251	36.0925	1024.466	24.3097	213.447	103.39784	206.43154
28.30158	-90.52952	37.0	37.252	24.3023	5.377178	36.0644	1024.5177	24.3571	178.829	86.29053	207.26583
28.3016	-90.52951	38.0	38.259	24.1347	5.362542	36.0888	1024.5908	24.4257	108.427	52.18023	207.82299
28.3016	-90.5295	39.0	39.266	23.9184	5.345776	36.1365	1024.6958	24.5263	53.51	25.66336	208.52406
28.30162	-90.52949	40.0	40.273	23.6915	5.325763	36.1683	1024.7915	24.6176	49.632	23.71468	209.28975
28.30162	-90.52948	41.0	41.28	23.5085	5.308238	36.1832	1024.8612	24.6829	49.637	23.64534	209.92586
28.30163	-90.52947	42.0	42.286	23.4177	5.299695	36.1917	1024.8987	24.716	51.515	24.50277	210.24158
28.30164	-90.52946	43.0	43.293	23.3247	5.29105	36.2011	1024.9374	24.7503	63.022	29.92876	210.56475
28.30164	-90.52944	44.0	44.3	23.2231	5.282699	36.22	1024.9858	24.7943	110.506	52.39433	210.90756
28.30166	-90.52943	45.0	45.307	23.1394	5.277648	36.2495	1025.037	24.8411	80.266	38.01532	211.17134
28.30166	-90.52942	46.0	46.314	22.9343	5.255085	36.2437	1025.0966	24.8962	65.873	31.08174	211.92869
28.30168	-90.5294	47.0	47.321	22.8844	5.250459	36.2486	1025.1191	24.9144	69.17	32.61109	212.10481
28.30168	-90.52939	48.0	48.328	22.8512	5.248103	36.2575	1025.1398	24.9307	76.791	36.18519	212.21463
28.30169	-90.52938	49.0	49.335	22.6693	5.231938	36.282	1025.2153	25.0018	80.23	37.69168	212.85159
28.3017	-90.52936	50.0	50.342	22.3752	5.205065	36.3163	1025.3299	25.1119	84.814	39.65099	213.89697
28.3017	-90.52936	51.0	51.349	22.1868	5.188426	36.3426	1025.4081	25.1856	90.2	42.03834	214.56555
28.30172	-90.52934	52.0	52.356	21.9951	5.170486	36.3615	1025.4812	25.2543	93.372	43.37865	215.2602

In total, there are 51 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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