ERDDAP > tabledap > Subset

Dataset Title:	EMSO Ligure Ouest : ALBATROSS capteur MICROCAT (CSV files from 2021-07)
Institution:	MIO UMR7294 CNRS / OSU Pytheas   (Dataset ID: Emso_Ligure_Ouest_Albatross_Microcat_CSV_2021)
Information:	Summary | License | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 1787)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

Sensor_serial_number	= (ANY) 37-10025 37-10026 37-10325 37-13017 37-13018 37-13375 37-9463 37-9464	8 options
Sensor_Depth_Theoric	= (ANY) 500 750 1000 1250 1500 2000 2200 2400	8 options
Oxygen	= (ANY) -999.99 3.658 3.666 3.667 3.682 3.69 3.71 3.711 3.712 3.718 3.721 3.724 3.725 3.727 3.728 3.73 3.731 3.733 3.737 3.743 3.747 3.748 3.749 3.75 3.751 3.753 3.754 3.756 3.757 3.758 3.759 3.76 3.761 3.762 3.763 3.764 3.765 3.766 3.767 3.769 3.77 3.771 3.772 3.773 3.774 3.775 3.776 3.777 3.778 3.779 3.78 3.781 3.782 3.783 3.784 3.785 3.786 3.787 3.788 3.789 3.79 3.791 3.792 3.793 3.794 3.795 3.796 3.797 3.798 3.799 3.8 3.801 3.802 3.803 3.804 3.805 3.806 3.807 3.808 3.809 3.81 3.811 3.812 3.813 3.814 3.815 3.816 3.817 3.818 3.819 3.82 3.821 3.822 3.823 3.824 3.825 3.826 3.827 3.828 3.829 3.83 3.831 3.832 3.833 3.834 3.835 3.836 3.837 3.838 3.839 3.84 3.841 3.842 3.843 3.844 3.845 3.846 3.847 3.848 3.849 3.85 3.851 3.852 3.853 3.854 3.855 3.856 3.857 3.858 3.859 3.86 3.861 3.862 3.863 3.864 3.865 3.866 3.867 3.868 3.869 3.87 3.871 3.872 3.873 3.874 3.875 3.876 3.877 3.878 3.879 3.88 3.881 3.882 3.883 3.884 3.885 3.886 3.887 3.888 3.889 3.89 3.891 3.892 3.893 3.894 3.895 3.896 3.897 3.898 3.899 3.9 3.901 3.902 3.903 3.904 3.905 3.906 3.907 3.908 3.909 3.91 3.911 3.912 3.913 3.914 3.915 3.916 3.917 3.918 3.919 3.92 3.921 3.922 3.923 3.924 3.925 3.926 3.927 3.928 3.929 3.93 3.931 3.932 3.933 3.934 3.935 3.936 3.937 3.938 3.939 3.94 3.941 3.942 3.943 3.944 3.945 3.946 3.947 3.948 3.949 3.95 3.951 3.952 3.953 3.954 3.955 3.956 3.957 3.958 3.959 3.96 3.961 3.962 3.963 3.964 3.965 3.966 3.967 3.968 3.969 3.97 3.971 3.972 3.973 3.974 3.975 3.976 3.977 3.978 3.979 3.98 3.981 3.982 3.983 3.984 3.985 3.986 3.987 3.99 3.991 3.992 3.993 3.994 3.995 3.996 3.997 3.998 3.999 4.0 4.001 4.002 4.003 4.004 4.005 4.006 4.007 4.008 4.009 4.01 4.011 4.012 4.013 4.014 4.015 4.017 4.018 4.019 4.02 4.021 4.022 4.023 4.024 4.025 4.026 4.027 4.028 4.029 4.033 4.035 4.037 4.038 4.039 4.04 4.041 4.042 4.043 4.044 4.045 4.046 4.048 4.049 4.05 4.051 4.052 4.054 4.055 4.058 4.059 4.06 4.062 4.063 4.064 4.067 4.068 4.069 4.07 4.073 4.074 4.078 4.08 4.082 4.083 4.084 4.086 4.087 4.088 4.089 4.09 4.091 4.092 4.093 4.094 4.095 4.096 4.097 4.098 4.099 4.1 4.101 4.102 4.103 4.104 4.105 4.106 4.107 4.108 4.109 4.11 4.111 4.112 4.113 4.114 4.115 4.116 4.117 4.118 4.119 4.12 4.121 4.122 4.123 4.124 4.125 4.126 4.127 4.128 4.129 4.13 4.131 4.132 4.133 4.134 4.135 4.136 4.137 4.138 4.139 4.14 4.141 4.142 4.143 4.144 4.145 4.146 4.147 4.148 4.149 4.15 4.151 4.152 4.153 4.154 4.155 4.156 4.157 4.158 4.159 4.16 4.161 4.162 4.163 4.164 4.165 4.166 4.167 4.168 4.169 4.17 4.171 4.172 4.173 4.174 4.175 4.176 4.177 4.178 4.179 4.18 4.181 4.182 4.183 4.184 4.185 4.186 4.187 4.188 4.189 4.19 4.191 4.192 4.193 4.194 4.195 4.196 4.197 4.198 4.199 4.2 4.201 4.202 4.203 4.204 4.205 4.206 4.207 4.208 4.209 4.21 4.211 4.212 4.213 4.214 4.215 4.216 4.217 4.218 4.219 4.22 4.221 4.222 4.223 4.224 4.225 4.226 4.227 4.228 4.229 4.23 4.231 4.232 4.233 4.234 4.235 4.236 4.237 4.238 4.239 4.24 4.241 4.242 4.243 4.244 4.245 4.246 4.247 4.248 4.249 4.25 4.251 4.252 4.253 4.254 4.255 4.256 4.257 4.258 4.259 4.26 4.261 4.262 4.263 4.264 4.265 4.266 4.267 4.268 4.269 4.27 4.271 4.272 4.273 4.274 4.275 4.276 4.277 4.278 4.279 4.28 4.281 4.282 4.283 4.284 4.285 4.286 4.287 4.288 4.289 4.29 4.291 4.292 4.293 4.294 4.295 4.296 4.297 4.298 4.299 4.3 4.301 4.302 4.303 4.304 4.305 4.306 4.307 4.308 4.309 4.31 4.311 4.312 4.313 4.314 4.315 4.316 4.317 4.318 4.319 4.32 4.321 4.322 4.323 4.324 4.325 4.326 4.327 4.328 4.329 4.33 4.331 4.332 4.333 4.334 4.335 4.336 4.337 4.338 4.339 4.34 4.341 4.342 4.343 4.344 4.345 4.346 4.347 4.348 4.349 4.35 4.351 4.352 4.353 4.354 4.355 4.356 4.357 4.358 4.359 4.36 4.361 4.362 4.363 4.364 4.365 4.366 4.367 4.368 4.369 4.37 4.371 4.372 4.373 4.374 4.375 4.376 4.377 4.378 4.379 4.38 4.381 4.382 4.383 4.384 4.385 4.386 4.387 4.388 4.389 4.39 4.391 4.392 4.393 4.394 4.395 4.396 4.397 4.398 4.399 4.4 4.401 4.402 4.403 4.404 4.405 4.406 4.407 4.408 4.409 4.41 4.411 4.412 4.413 4.414 4.415 4.416 4.417 4.418 4.419 4.42 4.421 4.422 4.423 4.424 4.425 4.426 4.427 4.428 4.429 4.43 4.431 4.432 4.433 4.434 4.435 4.436 4.437 4.438 4.439 4.44 4.441 4.442 4.443 4.444 4.445 4.446 4.447 4.448 4.449 4.45 4.451 4.452 4.453 4.454 4.455 4.456 4.457 4.458 4.459 4.46 4.461 4.462 4.463 4.464 4.465 4.466 4.467 4.468 4.469 4.47 4.471 4.472 4.473 4.474 4.475 4.476 4.477 4.478 4.479 4.48 4.481 4.482 4.483 4.484 4.485 4.486 4.487 4.488 4.489 4.49 4.492 4.495 4.496 4.525 4.535 4.546 4.547 4.566 4.575 4.581 4.602 4.653 4.667 4.706 4.731 4.753 4.815 4.838 4.85 4.903 4.94 4.954 5.19 5.498 5.691 5.915 6.03 6.06 6.076 6.086 6.145 6.583 9.543 16.533 16.682 46.969	775 options

View:      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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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)  

Sensor_serial_number	Sensor_Depth_Theoric	Oxygen
37-10025	1250	3.658
37-10025	1250	3.666
37-10025	1250	3.667
37-10025	1250	3.682
37-10025	1250	3.69
37-10025	1250	3.71
37-10025	1250	3.711
37-10025	1250	3.712
37-10025	1250	3.718
37-10025	1250	3.721
37-10025	1250	3.724
37-10025	1250	3.725
37-10025	1250	3.727
37-10025	1250	3.728
37-10025	1250	3.73
37-10025	1250	3.731
37-10025	1250	3.733
37-10025	1250	3.737
37-10025	1250	3.747
37-10025	1250	3.751
37-10025	1250	3.757
37-10025	1250	3.765
37-10025	1250	3.773
37-10025	1250	3.787
37-10025	1250	3.788
37-10025	1250	3.791
37-10025	1250	3.796
37-10025	1250	3.797
37-10025	1250	3.806
37-10025	1250	3.814
37-10025	1250	3.825
37-10025	1250	3.839
37-10025	1250	3.845
37-10025	1250	3.847
37-10025	1250	3.852
37-10025	1250	3.869
37-10025	1250	3.873
37-10025	1250	3.885
37-10025	1250	3.895
37-10025	1250	3.906
37-10025	1250	3.909
37-10025	1250	3.913
37-10025	1250	3.92
37-10025	1250	3.925
37-10025	1250	3.932
37-10025	1250	3.947
37-10025	1250	3.951
37-10025	1250	3.986
37-10025	1250	3.991
37-10025	1250	3.992
37-10025	1250	3.996
37-10025	1250	4.004
37-10025	1250	4.008
37-10025	1250	4.014
37-10025	1250	4.024
37-10025	1250	4.05
37-10025	1250	4.059
37-10025	1250	4.064
37-10025	1250	4.067
37-10025	1250	4.068
37-10025	1250	4.069
37-10025	1250	4.073
37-10025	1250	4.082
37-10025	1250	4.083
37-10025	1250	4.086
37-10025	1250	4.087
37-10025	1250	4.095
37-10025	1250	4.1
37-10025	1250	4.104
37-10025	1250	4.105
37-10025	1250	4.106
37-10025	1250	4.108
37-10025	1250	4.109
37-10025	1250	4.11
37-10025	1250	4.111
37-10025	1250	4.112
37-10025	1250	4.113
37-10025	1250	4.116
37-10025	1250	4.117
37-10025	1250	4.118
37-10025	1250	4.119
37-10025	1250	4.12
37-10025	1250	4.121
37-10025	1250	4.122
37-10025	1250	4.123
37-10025	1250	4.124
37-10025	1250	4.125
37-10025	1250	4.126
37-10025	1250	4.127
37-10025	1250	4.128
37-10025	1250	4.129
37-10025	1250	4.13
37-10025	1250	4.131
37-10025	1250	4.132
37-10025	1250	4.133
37-10025	1250	4.134
37-10025	1250	4.135
37-10025	1250	4.136
37-10025	1250	4.137
37-10025	1250	4.138
37-10025	1250	4.139
37-10025	1250	4.14
37-10025	1250	4.141
37-10025	1250	4.142
37-10025	1250	4.143
37-10025	1250	4.144
37-10025	1250	4.145
37-10025	1250	4.146
37-10025	1250	4.147
37-10025	1250	4.148
37-10025	1250	4.149
37-10025	1250	4.15
37-10025	1250	4.151
37-10025	1250	4.152
37-10025	1250	4.153
37-10025	1250	4.154
37-10025	1250	4.155
37-10025	1250	4.156
37-10025	1250	4.157
37-10025	1250	4.158
37-10025	1250	4.159
37-10025	1250	4.16
37-10025	1250	4.161
37-10025	1250	4.162
37-10025	1250	4.163
37-10025	1250	4.164
37-10025	1250	4.165
37-10025	1250	4.166
37-10025	1250	4.167
37-10025	1250	4.168
37-10025	1250	4.169
37-10025	1250	4.17
37-10025	1250	4.171
37-10025	1250	4.172
37-10025	1250	4.173
37-10025	1250	4.174
37-10025	1250	4.175
37-10025	1250	4.176
37-10025	1250	4.177
37-10025	1250	4.178
37-10025	1250	4.179
37-10025	1250	4.18
37-10025	1250	4.181
37-10025	1250	4.182
37-10025	1250	4.183
37-10025	1250	4.184
37-10025	1250	4.185
37-10025	1250	4.186
37-10025	1250	4.187
37-10025	1250	4.188
37-10025	1250	4.189
37-10025	1250	4.19
37-10025	1250	4.191
37-10025	1250	4.192
37-10025	1250	4.193
37-10025	1250	4.194
37-10025	1250	4.195
37-10025	1250	4.196
37-10025	1250	4.197
37-10025	1250	4.198
37-10025	1250	4.199
37-10025	1250	4.2
37-10025	1250	4.201
37-10025	1250	4.202
37-10025	1250	4.203
37-10025	1250	4.204
37-10025	1250	4.205
37-10025	1250	4.206
37-10025	1250	4.207
37-10025	1250	4.208
37-10025	1250	4.209
37-10025	1250	4.21
37-10025	1250	4.211
37-10025	1250	4.212
37-10025	1250	4.213
37-10025	1250	4.214
37-10025	1250	4.215
37-10025	1250	4.216
37-10025	1250	4.217
37-10025	1250	4.218
37-10025	1250	4.219
37-10025	1250	4.22
37-10025	1250	4.221
37-10025	1250	4.222
37-10025	1250	4.223
37-10025	1250	4.224
37-10025	1250	4.225
37-10025	1250	4.226
37-10025	1250	4.227
37-10025	1250	4.228
37-10025	1250	4.229
37-10025	1250	4.23
37-10025	1250	4.231
37-10025	1250	4.232
37-10025	1250	4.233
37-10025	1250	4.234
37-10025	1250	4.235
37-10025	1250	4.236
37-10025	1250	4.237
37-10025	1250	4.238
37-10025	1250	4.239
37-10025	1250	4.24
37-10025	1250	4.241
37-10025	1250	4.242
37-10025	1250	4.243
37-10025	1250	4.244
37-10025	1250	4.245
37-10025	1250	4.246
37-10025	1250	4.247
37-10025	1250	4.248
37-10025	1250	4.249
37-10025	1250	4.25
37-10025	1250	4.251
37-10025	1250	4.252
37-10025	1250	4.253
37-10025	1250	4.254
37-10025	1250	4.255
37-10025	1250	4.256
37-10025	1250	4.257
37-10025	1250	4.258
37-10025	1250	4.259
37-10025	1250	4.26
37-10025	1250	4.261
37-10025	1250	4.262
37-10025	1250	4.263
37-10025	1250	4.264
37-10025	1250	4.265
37-10025	1250	4.266
37-10025	1250	4.267
37-10025	1250	4.268
37-10025	1250	4.269
37-10025	1250	4.27
37-10025	1250	4.271
37-10025	1250	4.272
37-10025	1250	4.273
37-10025	1250	4.274
37-10025	1250	4.275
37-10025	1250	4.276
37-10025	1250	4.277
37-10025	1250	4.278
37-10025	1250	4.279
37-10025	1250	4.28
37-10025	1250	4.281
37-10025	1250	4.282
37-10025	1250	4.283
37-10025	1250	4.284
37-10025	1250	4.285
37-10025	1250	4.286
37-10025	1250	4.287
37-10025	1250	4.288
37-10025	1250	4.289
37-10025	1250	4.291
37-10025	1250	4.292
37-10025	1250	4.36
37-10025	1250	5.498
37-10025	1250	6.06
37-10025	1250
37-10026	1500	4.044
37-10026	1500	4.049
37-10026	1500	4.052
37-10026	1500	4.058
37-10026	1500	4.06
37-10026	1500	4.068
37-10026	1500	4.074
37-10026	1500	4.08
37-10026	1500	4.087
37-10026	1500	4.097
37-10026	1500	4.098
37-10026	1500	4.099
37-10026	1500	4.1
37-10026	1500	4.101
37-10026	1500	4.102
37-10026	1500	4.103
37-10026	1500	4.104
37-10026	1500	4.105
37-10026	1500	4.106
37-10026	1500	4.107
37-10026	1500	4.108
37-10026	1500	4.109
37-10026	1500	4.11
37-10026	1500	4.111
37-10026	1500	4.112
37-10026	1500	4.113
37-10026	1500	4.114
37-10026	1500	4.115
37-10026	1500	4.116
37-10026	1500	4.117
37-10026	1500	4.118
37-10026	1500	4.119
37-10026	1500	4.12
37-10026	1500	4.121
37-10026	1500	4.122
37-10026	1500	4.123
37-10026	1500	4.124
37-10026	1500	4.125
37-10026	1500	4.126
37-10026	1500	4.127
37-10026	1500	4.128
37-10026	1500	4.129
37-10026	1500	4.13
37-10026	1500	4.131
37-10026	1500	4.132
37-10026	1500	4.133
37-10026	1500	4.134
37-10026	1500	4.135
37-10026	1500	4.136
37-10026	1500	4.137
37-10026	1500	4.138
37-10026	1500	4.139
37-10026	1500	4.14
37-10026	1500	4.141
37-10026	1500	4.142
37-10026	1500	4.143
37-10026	1500	4.144
37-10026	1500	4.145
37-10026	1500	4.146
37-10026	1500	4.147
37-10026	1500	4.148
37-10026	1500	4.149
37-10026	1500	4.15
37-10026	1500	4.151
37-10026	1500	4.152
37-10026	1500	4.153
37-10026	1500	4.154
37-10026	1500	4.155
37-10026	1500	4.156
37-10026	1500	4.157
37-10026	1500	4.158
37-10026	1500	4.159
37-10026	1500	4.16
37-10026	1500	4.161
37-10026	1500	4.162
37-10026	1500	4.163
37-10026	1500	4.164
37-10026	1500	4.165
37-10026	1500	4.166
37-10026	1500	4.167
37-10026	1500	4.168
37-10026	1500	4.169
37-10026	1500	4.17
37-10026	1500	4.171
37-10026	1500	4.172
37-10026	1500	4.173
37-10026	1500	4.174
37-10026	1500	4.175
37-10026	1500	4.176
37-10026	1500	4.177
37-10026	1500	4.178
37-10026	1500	4.179
37-10026	1500	4.18
37-10026	1500	4.181
37-10026	1500	4.182
37-10026	1500	4.183
37-10026	1500	4.184
37-10026	1500	4.185
37-10026	1500	4.186
37-10026	1500	4.187
37-10026	1500	4.188
37-10026	1500	4.189
37-10026	1500	4.19
37-10026	1500	4.191
37-10026	1500	4.192
37-10026	1500	4.193
37-10026	1500	4.194
37-10026	1500	4.195
37-10026	1500	4.196
37-10026	1500	4.197
37-10026	1500	4.198
37-10026	1500	4.199
37-10026	1500	4.2
37-10026	1500	4.201
37-10026	1500	4.202
37-10026	1500	4.203
37-10026	1500	4.204
37-10026	1500	4.205
37-10026	1500	4.206
37-10026	1500	4.207
37-10026	1500	4.208
37-10026	1500	4.209
37-10026	1500	4.21
37-10026	1500	4.211
37-10026	1500	4.212
37-10026	1500	4.213
37-10026	1500	4.214
37-10026	1500	4.215
37-10026	1500	4.216
37-10026	1500	4.217
37-10026	1500	4.218
37-10026	1500	4.219
37-10026	1500	4.22
37-10026	1500	4.221
37-10026	1500	4.222
37-10026	1500	4.223
37-10026	1500	4.224
37-10026	1500	4.225
37-10026	1500	4.226
37-10026	1500	4.227
37-10026	1500	4.228
37-10026	1500	4.229
37-10026	1500	4.23
37-10026	1500	4.231
37-10026	1500	4.232
37-10026	1500	4.233
37-10026	1500	4.234
37-10026	1500	4.235
37-10026	1500	4.236
37-10026	1500	4.237
37-10026	1500	4.238
37-10026	1500	4.239
37-10026	1500	4.24
37-10026	1500	4.241
37-10026	1500	4.242
37-10026	1500	4.243
37-10026	1500	4.244
37-10026	1500	4.245
37-10026	1500	4.246
37-10026	1500	4.247
37-10026	1500	4.248
37-10026	1500	4.249
37-10026	1500	4.25
37-10026	1500	4.251
37-10026	1500	4.252
37-10026	1500	4.253
37-10026	1500	4.254
37-10026	1500	4.255
37-10026	1500	4.256
37-10026	1500	4.257
37-10026	1500	4.258
37-10026	1500	4.259
37-10026	1500	4.26
37-10026	1500	4.261
37-10026	1500	4.262
37-10026	1500	4.263
37-10026	1500	4.264
37-10026	1500	4.265
37-10026	1500	4.266
37-10026	1500	4.267
37-10026	1500	4.268
37-10026	1500	4.269
37-10026	1500	4.27
37-10026	1500	4.271
37-10026	1500	4.272
37-10026	1500	4.273
37-10026	1500	4.274
37-10026	1500	4.275
37-10026	1500	4.276
37-10026	1500	4.277
37-10026	1500	4.278
37-10026	1500	4.279
37-10026	1500	4.28
37-10026	1500	4.281
37-10026	1500	4.282
37-10026	1500	4.283
37-10026	1500	4.284
37-10026	1500	4.285
37-10026	1500	4.286
37-10026	1500	4.287
37-10026	1500	4.288
37-10026	1500	4.289
37-10026	1500	4.29
37-10026	1500	4.291
37-10026	1500	4.292
37-10026	1500	4.293
37-10026	1500	4.294
37-10026	1500	4.295
37-10026	1500	4.296
37-10026	1500	4.297
37-10026	1500	4.298
37-10026	1500	4.299
37-10026	1500	4.3
37-10026	1500	4.301
37-10026	1500	4.302
37-10026	1500	4.303
37-10026	1500	4.304
37-10026	1500	4.305
37-10026	1500	4.306
37-10026	1500	4.307
37-10026	1500	4.308
37-10026	1500	4.309
37-10026	1500	4.31
37-10026	1500	4.311
37-10026	1500	4.312
37-10026	1500	4.313
37-10026	1500	4.314
37-10026	1500	4.315
37-10026	1500	4.316
37-10026	1500	4.317
37-10026	1500	4.318
37-10026	1500	4.319
37-10026	1500	4.32
37-10026	1500	4.321
37-10026	1500	4.322
37-10026	1500	4.323
37-10026	1500	4.324
37-10026	1500	4.325
37-10026	1500	4.326
37-10026	1500	4.327
37-10026	1500	4.328
37-10026	1500	4.329
37-10026	1500	4.33
37-10026	1500	4.331
37-10026	1500	4.332
37-10026	1500	4.333
37-10026	1500	4.335
37-10026	1500	4.336
37-10026	1500	4.337
37-10026	1500	4.338
37-10026	1500	4.339
37-10026	1500	4.34
37-10026	1500	4.341
37-10026	1500	4.342
37-10026	1500	4.344
37-10026	1500	4.346
37-10026	1500	4.347
37-10026	1500	4.348
37-10026	1500	4.349
37-10026	1500	4.35
37-10026	1500	4.351
37-10026	1500	4.352
37-10026	1500	4.354
37-10026	1500	4.355
37-10026	1500	4.357
37-10026	1500	4.358
37-10026	1500	4.359
37-10026	1500	4.361
37-10026	1500	4.362
37-10026	1500	4.363
37-10026	1500	4.364
37-10026	1500	4.365
37-10026	1500	4.366
37-10026	1500	4.367
37-10026	1500	4.368
37-10026	1500	4.369
37-10026	1500	4.448
37-10026	1500	4.465
37-10026	1500	4.535
37-10026	1500	4.546
37-10026	1500	4.581
37-10026	1500	4.602
37-10026	1500	4.667
37-10026	1500	4.753
37-10026	1500	4.85
37-10026	1500	4.94
37-10026	1500	4.954
37-10026	1500	6.145
37-10026	1500	16.533
37-10026	1500
37-10325	500	3.743
37-10325	500	3.748
37-10325	500	3.749
37-10325	500	3.75
37-10325	500	3.751
37-10325	500	3.753
37-10325	500	3.754
37-10325	500	3.756
37-10325	500	3.757
37-10325	500	3.758
37-10325	500	3.759
37-10325	500	3.76
37-10325	500	3.761
37-10325	500	3.762
37-10325	500	3.763
37-10325	500	3.764
37-10325	500	3.765
37-10325	500	3.766
37-10325	500	3.767
37-10325	500	3.769
37-10325	500	3.77
37-10325	500	3.771
37-10325	500	3.772
37-10325	500	3.773
37-10325	500	3.774
37-10325	500	3.775
37-10325	500	3.776
37-10325	500	3.777
37-10325	500	3.778
37-10325	500	3.779
37-10325	500	3.78
37-10325	500	3.781
37-10325	500	3.782
37-10325	500	3.783
37-10325	500	3.784
37-10325	500	3.785
37-10325	500	3.786
37-10325	500	3.787
37-10325	500	3.788
37-10325	500	3.789
37-10325	500	3.79
37-10325	500	3.791
37-10325	500	3.792
37-10325	500	3.793
37-10325	500	3.794
37-10325	500	3.795
37-10325	500	3.796
37-10325	500	3.797
37-10325	500	3.798
37-10325	500	3.799
37-10325	500	3.8
37-10325	500	3.801
37-10325	500	3.802
37-10325	500	3.803
37-10325	500	3.804
37-10325	500	3.805
37-10325	500	3.806
37-10325	500	3.807
37-10325	500	3.808
37-10325	500	3.809
37-10325	500	3.81
37-10325	500	3.811
37-10325	500	3.812
37-10325	500	3.813
37-10325	500	3.814
37-10325	500	3.815
37-10325	500	3.816
37-10325	500	3.817
37-10325	500	3.818
37-10325	500	3.819
37-10325	500	3.82
37-10325	500	3.821
37-10325	500	3.822
37-10325	500	3.823
37-10325	500	3.824
37-10325	500	3.825
37-10325	500	3.826
37-10325	500	3.827
37-10325	500	3.828
37-10325	500	3.829
37-10325	500	3.83
37-10325	500	3.831
37-10325	500	3.832
37-10325	500	3.833
37-10325	500	3.834
37-10325	500	3.835
37-10325	500	3.836
37-10325	500	3.837
37-10325	500	3.838
37-10325	500	3.839
37-10325	500	3.84
37-10325	500	3.841
37-10325	500	3.842
37-10325	500	3.843
37-10325	500	3.844
37-10325	500	3.845
37-10325	500	3.846
37-10325	500	3.847
37-10325	500	3.848
37-10325	500	3.849
37-10325	500	3.85
37-10325	500	3.851
37-10325	500	3.852
37-10325	500	3.853
37-10325	500	3.854
37-10325	500	3.855
37-10325	500	3.856
37-10325	500	3.857
37-10325	500	3.858
37-10325	500	3.859
37-10325	500	3.86
37-10325	500	3.861
37-10325	500	3.862
37-10325	500	3.863
37-10325	500	3.864
37-10325	500	3.865
37-10325	500	3.866
37-10325	500	3.867
37-10325	500	3.868
37-10325	500	3.869
37-10325	500	3.87
37-10325	500	3.871
37-10325	500	3.872
37-10325	500	3.873
37-10325	500	3.874
37-10325	500	3.875
37-10325	500	3.876
37-10325	500	3.877
37-10325	500	3.878
37-10325	500	3.879
37-10325	500	3.88
37-10325	500	3.881
37-10325	500	3.882
37-10325	500	3.883
37-10325	500	3.884
37-10325	500	3.885
37-10325	500	3.886
37-10325	500	3.887
37-10325	500	3.888
37-10325	500	3.889
37-10325	500	3.89
37-10325	500	3.891
37-10325	500	3.892
37-10325	500	3.893
37-10325	500	3.894
37-10325	500	3.895
37-10325	500	3.896
37-10325	500	3.897
37-10325	500	3.898
37-10325	500	3.899
37-10325	500	3.9
37-10325	500	3.901
37-10325	500	3.902
37-10325	500	3.903
37-10325	500	3.904
37-10325	500	3.905
37-10325	500	3.906
37-10325	500	3.907
37-10325	500	3.908
37-10325	500	3.909
37-10325	500	3.91
37-10325	500	3.911
37-10325	500	3.912
37-10325	500	3.913
37-10325	500	3.914
37-10325	500	3.915
37-10325	500	3.916
37-10325	500	3.917
37-10325	500	3.918
37-10325	500	3.919
37-10325	500	3.92
37-10325	500	3.921
37-10325	500	3.922
37-10325	500	3.923
37-10325	500	3.924
37-10325	500	3.925
37-10325	500	3.926
37-10325	500	3.927
37-10325	500	3.928
37-10325	500	3.929
37-10325	500	3.93
37-10325	500	3.931
37-10325	500	3.932
37-10325	500	3.933
37-10325	500	3.934
37-10325	500	3.935
37-10325	500	3.936
37-10325	500	3.937
37-10325	500	3.938
37-10325	500	3.939
37-10325	500	3.94
37-10325	500	3.941
37-10325	500	3.942
37-10325	500	3.943
37-10325	500	3.944
37-10325	500	3.945
37-10325	500	3.946
37-10325	500	3.947
37-10325	500	3.948
37-10325	500	3.949
37-10325	500	3.95
37-10325	500	3.951
37-10325	500	3.952
37-10325	500	3.953
37-10325	500	3.954
37-10325	500	3.955
37-10325	500	3.956
37-10325	500	3.957
37-10325	500	3.958
37-10325	500	3.959
37-10325	500	3.96
37-10325	500	3.961
37-10325	500	3.962
37-10325	500	3.963
37-10325	500	3.964
37-10325	500	3.965
37-10325	500	3.966
37-10325	500	3.967
37-10325	500	3.968
37-10325	500	3.969
37-10325	500	3.97
37-10325	500	3.971
37-10325	500	3.972
37-10325	500	3.973
37-10325	500	3.974
37-10325	500	3.975
37-10325	500	3.976
37-10325	500	3.977
37-10325	500	3.978
37-10325	500	3.979
37-10325	500	3.98
37-10325	500	3.981
37-10325	500	3.982
37-10325	500	3.983
37-10325	500	3.984
37-10325	500	3.985
37-10325	500	3.986
37-10325	500	3.987
37-10325	500	3.99
37-10325	500	3.991
37-10325	500	3.992
37-10325	500	3.993
37-10325	500	3.994
37-10325	500	3.995
37-10325	500	3.996
37-10325	500	3.997
37-10325	500	3.998
37-10325	500	3.999
37-10325	500	4.0
37-10325	500	4.001
37-10325	500	4.002
37-10325	500	4.003
37-10325	500	4.004
37-10325	500	4.005
37-10325	500	4.006
37-10325	500	4.007
37-10325	500	4.009
37-10325	500	4.01
37-10325	500	4.011
37-10325	500	4.012
37-10325	500	4.013
37-10325	500	4.014
37-10325	500	4.015
37-10325	500	4.017
37-10325	500	4.018
37-10325	500	4.019
37-10325	500	4.02
37-10325	500	4.021
37-10325	500	4.022
37-10325	500	4.023
37-10325	500	4.024
37-10325	500	4.025
37-10325	500	4.026
37-10325	500	4.027
37-10325	500	4.028
37-10325	500	4.029
37-10325	500	4.033
37-10325	500	4.035
37-10325	500	4.037
37-10325	500	4.038
37-10325	500	4.039
37-10325	500	4.04
37-10325	500	4.041
37-10325	500	4.042
37-10325	500	4.043
37-10325	500	4.045
37-10325	500	4.046
37-10325	500	4.048
37-10325	500	4.049
37-10325	500	4.051
37-10325	500	4.052
37-10325	500	4.054
37-10325	500	4.055
37-10325	500	4.058
37-10325	500	4.059
37-10325	500	4.06
37-10325	500	4.062
37-10325	500	4.063
37-10325	500	4.067
37-10325	500	4.092
37-10325	500	4.161
37-10325	500	4.195
37-10325	500	6.03
37-13017	2000	4.07
37-13017	2000	4.078
37-13017	2000	4.083
37-13017	2000	4.084
37-13017	2000	4.086
37-13017	2000	4.088
37-13017	2000	4.089
37-13017	2000	4.09
37-13017	2000	4.091
37-13017	2000	4.092
37-13017	2000	4.093
37-13017	2000	4.094
37-13017	2000	4.096
37-13017	2000	4.097
37-13017	2000	4.098
37-13017	2000	4.1
37-13017	2000	4.102
37-13017	2000	4.103
37-13017	2000	4.104
37-13017	2000	4.105
37-13017	2000	4.107
37-13017	2000	4.108
37-13017	2000	4.109
37-13017	2000	4.11
37-13017	2000	4.111
37-13017	2000	4.112
37-13017	2000	4.113
37-13017	2000	4.114
37-13017	2000	4.115
37-13017	2000	4.116
37-13017	2000	4.117
37-13017	2000	4.118
37-13017	2000	4.119
37-13017	2000	4.12
37-13017	2000	4.121
37-13017	2000	4.122
37-13017	2000	4.123
37-13017	2000	4.124
37-13017	2000	4.125
37-13017	2000	4.126
37-13017	2000	4.127
37-13017	2000	4.128
37-13017	2000	4.129
37-13017	2000	4.13
37-13017	2000	4.131
37-13017	2000	4.132
37-13017	2000	4.133
37-13017	2000	4.134
37-13017	2000	4.135
37-13017	2000	4.136
37-13017	2000	4.137
37-13017	2000	4.138
37-13017	2000	4.139
37-13017	2000	4.141
37-13017	2000	4.142
37-13017	2000	4.144
37-13017	2000	4.148
37-13017	2000	4.149
37-13017	2000	4.15
37-13017	2000	4.151
37-13017	2000	4.152
37-13017	2000	4.154
37-13017	2000	4.156
37-13017	2000	4.157
37-13017	2000	4.158
37-13017	2000	4.159
37-13017	2000	4.16
37-13017	2000	4.161
37-13017	2000	4.162
37-13017	2000	4.163
37-13017	2000	4.164
37-13017	2000	4.165
37-13017	2000	4.166
37-13017	2000	4.167
37-13017	2000	4.169
37-13017	2000	4.17
37-13017	2000	4.171
37-13017	2000	4.172
37-13017	2000	4.173
37-13017	2000	4.174
37-13017	2000	4.175
37-13017	2000	4.176
37-13017	2000	4.177
37-13017	2000	4.178
37-13017	2000	4.179
37-13017	2000	4.18
37-13017	2000	4.181
37-13017	2000	4.182
37-13017	2000	4.183
37-13017	2000	4.185
37-13017	2000	4.187
37-13017	2000	4.189
37-13017	2000	4.19
37-13017	2000	4.192
37-13017	2000	4.193
37-13017	2000	4.195
37-13017	2000	4.198
37-13017	2000	4.199
37-13017	2000	4.2
37-13017	2000	4.201
37-13017	2000	4.205
37-13017	2000	4.209
37-13017	2000	4.211
37-13017	2000	4.212
37-13017	2000	4.215
37-13017	2000	4.216
37-13017	2000	4.219
37-13017	2000	4.221
37-13017	2000	4.222
37-13017	2000	4.225
37-13017	2000	4.226
37-13017	2000	4.228
37-13017	2000	4.23
37-13017	2000	4.231
37-13017	2000	4.232
37-13017	2000	4.233
37-13017	2000	4.235
37-13017	2000	4.236
37-13017	2000	4.237
37-13017	2000	4.238
37-13017	2000	4.241
37-13017	2000	4.242
37-13017	2000	4.243
37-13017	2000	4.244
37-13017	2000	4.245
37-13017	2000	4.246
37-13017	2000	4.247
37-13017	2000	4.248
37-13017	2000	4.249
37-13017	2000	4.25
37-13017	2000	4.251
37-13017	2000	4.252
37-13017	2000	4.253
37-13017	2000	4.254
37-13017	2000	4.255
37-13017	2000	4.256
37-13017	2000	4.257
37-13017	2000	4.258
37-13017	2000	4.259
37-13017	2000	4.26
37-13017	2000	4.261
37-13017	2000	4.262
37-13017	2000	4.263
37-13017	2000	4.264
37-13017	2000	4.265
37-13017	2000	4.266
37-13017	2000	4.267
37-13017	2000	4.268
37-13017	2000	4.269
37-13017	2000	4.27

In total, there are 1787 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 787 rows aren't being shown.
To change the maximum number of rows displayed, change View : Distinct Data above.
 

---

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.
 

---

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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ERDDAP, Version 2.23
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