No data from 0545-1050 as the computer decided to restart overnight.
The fake decodes from Shitang China are back. One fewer decode from Okha India than Wisconsin, Point WI. They share IDs, so they should always report the same number of decodes. Weird.
Count ID ref1 ref2 kHz Baud City Country Lat Lon km Deg
2 323 446 447 298.0 200 Ras Gharib Egypt 28.353 33.117 9,556 56
2 637 674 675 295.0 200 Hekura Shima Japan 37.86 136.928 10,723 334
3 426 652 653 302.0 200 Gilze Rijen Netherlands 51.617 4.933 6,159 48
10 614 628 629 295.0 200 Shitang China 28.267 121.617 12,216 343
17 340 480 481 311.5 200 Cabo Carvoeiro Lt Portugal 39.365 -9.411 5,648 67
35 946 344 345 299.0 200 Rigolet, NL Canada 54.25 -58.5 2,127 34
40 881 262 263 302.0 100 Point Loma, CA United States 32.677 -117.25 3,666 271
46 343 486 487 287.5 200 Porto Santo Madeira 33.067 -16.35 5,374 78
65 764 210 211 314.0 200 Lincoln, CA United States 38.855 -121.361 3,782 283
70 828 246 247 301.0 100 Angleton, TX United States 29.301 -95.484 2,046 241
81 918 310 311 286.0 200 Wiarton, ON Canada 44.75 -81.117 656 330
126 919 308 309 306.0 200 Cardinal, ON Canada 44.783 -75.417 579 12
205 871 172 173 300.0 100 Appleton, WA United States 45.792 -121.332 3,637 296
311 814 028 029 293.0 200 English Turn, LA United States 29.886 -89.947 1,608 231
386 342 484 485 308.0 200 Horta Azores 38.533 -28.617 4,122 76
502 907 304 305 320.0 200 Richmond, BC Canada 49.114 -123.183 3,753 302
630 836 112 113 292.0 200 Cheboygan, MI United States 45.656 -84.475 901 320
692 886 272 273 287.0 100 Fort Stevens, OR United States 46.208 -123.96 3,834 297
790 100 400 401 296.0 100 Okha [Humani Pt] India 22.481 69.071 12,255 33
791 830 100 101 296.0 100 Wisconsin, Point WI United States 46.708 -92.025 1,444 308
940 936 332 333 319.0 200 Point Escuminac, NB Canada 47.075 -64.8 1,278 46
1379 809 018 019 289.0 100 Cape Canaveral, FL United States 28.467 -80.554 1,292 196
2419 937 330 331 298.0 200 Hartlen Point, NS Canada 44.583 -63.45 1,238 60
4653 972 901 902 302.0 200 Miraflores Panama 8.993 -79.585 3,425 185
5969 940 338 339 315.0 200 Cape Race, NL Canada 46.661 -53.075 2,076 60
6103 934 336 337 307.0 200 Fox Island, NS Canada 45.361 -61.097 1,442 59
6559 935 334 335 312.0 200 Western Head, NS Canada 43.993 -64.67 1,124 61
12697 831 102 103 298.0 100 Upper Keweenaw, MI United States 47.233 -88.628 1,257 316
14938 944 342 343 310.0 200 Cape Norman, NL Canada 51.509 -55.831 2,091 44
18879 925 320 321 313.0 200 Moise, QC Canada 50.202 -66.119 1,443 32
19456 806 012 013 289.0 100 Driver, VA United States 36.963 -76.562 307 173
20644 778 192 193 292.0 100 Kensington, SC United States 33.491 -79.349 723 198
21471 827 244 245 312.0 200 Tampa, FL United States 27.85 -82.543 1,414 203
21831 839 118 119 322.0 100 Youngstown, NY United States 43.239 -78.972 427 338
22057 803 006 007 293.0 100 Moriches, NY United States 40.794 -72.756 378 70
22345 771 196 197 294.0 100 New Bern, NC United States 35.181 -77.059 503 181
23207 939 326 327 295.0 200 Partridge Island, NB Canada 45.239 -66.056 1,085 52
25898 926 318 319 300.0 200 Riviere du Loop, QC Canada 47.762 -69.606 1,073 31
25913 942 340 341 288.0 200 Cape Ray, NL Canada 47.636 -59.241 1,671 52
29141 808 016 017 314.0 200 Card Sound, FL United States 25.442 -80.452 1,619 193
30857 929 312 313 296.0 200 St Jean Richelieu, QC Canada 45.324 -73.317 693 24
32757 927 316 317 309.0 200 Lauzon, QC Canada 46.821 -71.165 920 29
32834 838 116 117 319.0 200 Detroit, MI United States 42.306 -83.103 590 301
35122 847 058 059 301.0 200 Annapolis, MD United States 39.018 -76.61 82 158
35256 772 198 199 306.0 200 Acushnet, MA United States 41.749 -70.889 561 64
35310 792 136 137 297.0 200 Bobo, MS United States 34.125 -90.696 1,367 247
35407 799 044 045 290.0 200 Penobscot, ME United States 44.453 -68.776 858 49
35470 804 008 009 286.0 200 Sandy Hook, NJ United States 40.475 -74.02 266 70
35492 777 218 219 304.0 200 Mequon, WI United States 43.202 -88.066 1,002 296
35948 844 094 095 324.0 200 Hudson Falls, NY United States 43.272 -73.542 489 35