I've only been using the audio input decoding function and have been letting it run on a 7kHz section of the band for a few days and comparing the hits on the
lower count stations based on hit times across multiple days, some coincide (give or take an hour or so) each day, some not.
I'm guessing that some of the lower number hits are valid if they show up at or near the same time give or take an hour or two on multiple days, and if the hit's around greyline from my location the better the probability.
I uploaded the complete .dec file to dropbox if anyone wants a look,
https://www.dropbox.com/s/vt3u5npeplabs3f/284.5%20to%20297.5%2011_21%20to%2011_24.dec?dl=0Below is the text output.
Count ID ref1 ref2 kHz Baud City Country Lat Lon km Deg
2 001 941 001 295.0 200 Colombo Lt Sri Lanka 6.971 79.867 14,253 312 001 941 001 295.0 200 Colombo Lt Sri Lanka 6.971 79.867 14,253 31
2 879 258 259 286.0 100 Upolu Point, Hi Hawaii 20.257 -155.885 7,762 2802 879 258 259 286.0 100 Upolu Point, Hi Hawaii 20.257 -155.885 7,762 280
2 360 520 001 297.5 100 Cabo de la Nao Spain 38.733 0.233 6,337 652 360 520 001 297.5 100 Cabo de la Nao Spain 38.733 0.233 6,337 65
2 662 724 725 287.0 200 Geomun Do Lt South Korea 34.013 127.324 11,481 3402 662 724 725 287.0 200 Geomun Do Lt South Korea 34.013 127.324 11,481 340
2 883 266 267 287.0 100 Pigeon Point, CA United States 37.189 -122.394 4,023 2812 883 266 267 287.0 100 Pigeon Point, CA United States 37.189 -122.394 4,023 281
2 343 486 487 287.5 200 Porto Santo Madeira 33.067 -16.35 5,274 782 343 486 487 287.5 200 Porto Santo Madeira 33.067 -16.35 5,274 78
2 116 432 433 297.0 100 Krishnapatnam India 14.255 80.126 13,517 282 116 432 433 297.0 100 Krishnapatnam India 14.255 80.126 13,517 28
2 646 692 693 288.0 200 Daio Saki Japan 34.281 136.906 11,129 3332 646 692 693 288.0 200 Daio Saki Japan 34.281 136.906 11,129 333
2 630 660 661 288.0 200 Kushiro Saki Japan 42.976 144.387 9,973 3322 630 660 661 288.0 200 Kushiro Saki Japan 42.976 144.387 9,973 332
2 851 852 853 289.0 200 Kau Yi Chau [Hong Kong] China 22.284 114.083 13,046 3502 851 852 853 289.0 200 Kau Yi Chau [Hong Kong] China 22.284 114.083 13,046 350
2 672 749 750 289.0 200 Yeongju South Korea 36.85 128.533 11,147 3402 672 749 750 289.0 200 Yeongju South Korea 36.85 128.533 11,147 340
2 877 254 255 290.0 100 Pahoa, HI Hawaii 19.519 -154.972 7,734 2792 877 254 255 290.0 100 Pahoa, HI Hawaii 19.519 -154.972 7,734 279
2 665 730 731 290.0 200 Mara Do Lt South Korea 34.225 125.85 11,499 3422 665 730 731 290.0 200 Mara Do Lt South Korea 34.225 125.85 11,499 342
2 364 528 001 291.0 100 Cabo Salou Spain 41.05 1.167 6,293 622 364 528 001 291.0 100 Cabo Salou Spain 41.05 1.167 6,293 62
2 741 122 123 291.0 200 Kuantan Malaysia 3.817 103.333 15,175 12 741 122 123 291.0 200 Kuantan Malaysia 3.817 103.333 15,175 1
2 483 745 746 295.0 100 Jaroslawiec Poland 54.55 16.55 6,655 422 483 745 746 295.0 100 Jaroslawiec Poland 54.55 16.55 6,655 42
2 663 726 727 295.0 200 Chumunjin Dan South Korea 37.908 128.834 11,027 3412 663 726 727 295.0 200 Chumunjin Dan South Korea 37.908 128.834 11,027 341
2 001 850 851 295.0 100 Obristvi Czech Republic 50.301 14.484 6,750 472 001 850 851 295.0 100 Obristvi Czech Republic 50.301 14.484 6,750 47
2 407 607 001 292.5 100 Haarajoki Finland 60.517 25.167 6,787 342 407 607 001 292.5 100 Haarajoki Finland 60.517 25.167 6,787 34
3 416 632 633 287.0 100 Skardhsfjara Lt Iceland 63.517 -17.983 4,559 353 416 632 633 287.0 100 Skardhsfjara Lt Iceland 63.517 -17.983 4,559 35
3 830 100 101 296.0 100 Wisconsin, Point WI United States 46.708 -92.025 1,525 3063 830 100 101 296.0 100 Wisconsin, Point WI United States 46.708 -92.025 1,525 306
3 741 167 168 285.0 200 Truong Sa Vietnam 8.643 111.918 14,581 3503 741 167 168 285.0 200 Truong Sa Vietnam 8.643 111.918 14,581 350
3 638 676 677 288.0 200 Sakata Japan 38.95 139.833 10,548 3333 638 676 677 288.0 200 Sakata Japan 38.95 139.833 10,548 333
3 354 508 001 296.0 100 Cabo Finisterre Spain 42.883 -9.273 5,420 633 354 508 001 296.0 100 Cabo Finisterre Spain 42.883 -9.273 5,420 63
3 444 684 694 295.5 100 Butt of Lewis Lt Scotland 58.526 -6.27 5,196 423 444 684 694 295.5 100 Butt of Lewis Lt Scotland 58.526 -6.27 5,196 42
3 531 841 001 295.5 100 Narva Estonia 59.467 28.04 6,984 343 531 841 001 295.5 100 Narva Estonia 59.467 28.04 6,984 34
3 361 522 001 294.5 100 Cala Figuera Balearics 39.465 2.528 6,476 633 361 522 001 294.5 100 Cala Figuera Balearics 39.465 2.528 6,476 63
3 707 007 001 285.0 100 Brisbane, QD Australia -27.087 153.059 15,332 2723 707 007 001 285.0 100 Brisbane, QD Australia -27.087 153.059 15,332 272
3 647 694 695 295.0 200 Muroto Saki Japan 33.258 134.188 11,336 3353 647 694 695 295.0 200 Muroto Saki Japan 33.258 134.188 11,336 335
3 460 720 001 292.0 100 Holmsjoe Sweden 56.433 15.65 6,511 403 460 720 001 292.0 100 Holmsjoe Sweden 56.433 15.65 6,511 40
3 322 444 445 293.5 200 Ras Umm Sidd Lt Egypt 27.858 34.322 9,595 563 322 444 445 293.5 200 Ras Umm Sidd Lt Egypt 27.858 34.322 9,595 56
3 352 504 001 295.0 100 Cabo Penas Spain 43.65 -5.85 5,649 613 352 504 001 295.0 100 Cabo Penas Spain 43.65 -5.85 5,649 61
3 469 736 001 296.5 100 Goteborg Sweden 57.617 11.967 6,254 403 469 736 001 296.5 100 Goteborg Sweden 57.617 11.967 6,254 40
3 400 600 001 293.5 100 Porkkala Pilot Station Finland 59.981 24.403 6,781 343 400 600 001 293.5 100 Porkkala Pilot Station Finland 59.981 24.403 6,781 34
3 001 001 001 286.5 100 Baltiysk Kaliningrad 54.633 19.9 6,840 413 001 001 001 286.5 100 Baltiysk Kaliningrad 54.633 19.9 6,840 41
4 891 282 283 295.0 100 Level Island, AK Alaska 56.467 -133.098 4,487 3144 891 282 283 295.0 100 Level Island, AK Alaska 56.467 -133.098 4,487 314
4 632 664 665 295.0 200 Soya Misaki Lt Japan 45.521 141.944 9,820 3354 632 664 665 295.0 200 Soya Misaki Lt Japan 45.521 141.944 9,820 335
4 382 554 555 296.5 100 Agigea Romania 44.108 28.64 8,019 474 382 554 555 296.5 100 Agigea Romania 44.108 28.64 8,019 47
5 939 326 327 295.0 200 Partridge Island, NB Canada 45.239 -66.056 1,006 495 939 326 327 295.0 200 Partridge Island, NB Canada 45.239 -66.056 1,006 49
5 641 682 683 295.0 200 Inubo Saki Lt Japan 35.707 140.874 10,827 3315 641 682 683 295.0 200 Inubo Saki Lt Japan 35.707 140.874 10,827 331
5 442 682 692 297.5 100 Point Lynas Lt Wales 53.427 -4.292 5,427 495 442 682 692 297.5 100 Point Lynas Lt Wales 53.427 -4.292 5,427 49
5 792 136 137 297.0 200 Bobo, MS United States 34.125 -90.696 1,462 2505 792 136 137 297.0 200 Bobo, MS United States 34.125 -90.696 1,462 250
5 885 270 271 292.0 100 Cape Mendocino, CA United States 40.447 -124.405 4,084 2875 885 270 271 292.0 100 Cape Mendocino, CA United States 40.447 -124.405 4,084 287
6 453 710 711 296.0 100 Skagen West Lt Denmark 57.761 10.605 6,173 406 453 710 711 296.0 100 Skagen West Lt Denmark 57.761 10.605 6,173 40
6 809 018 019 289.0 100 Cape Canaveral, FL United States 28.467 -80.554 1,325 2016 809 018 019 289.0 100 Cape Canaveral, FL United States 28.467 -80.554 1,325 201
6 715 015 001 297.0 200 Exmouth, WE Australia -21.885 114.134 17,823 3326 715 015 001 297.0 200 Exmouth, WE Australia -21.885 114.134 17,823 332
6 675 755 756 296.0 200 Seongju South Korea 36.85 128.533 11,147 3406 675 755 756 296.0 200 Seongju South Korea 36.85 128.533 11,147 340
6 637 674 675 295.0 200 Hekura Shima Japan 37.86 136.928 10,767 3356 637 674 675 295.0 200 Hekura Shima Japan 37.86 136.928 10,767 335
6 894 288 289 292.0 100 Cape Hinchinbrook, AK Alaska 60.242 -146.656 5,246 3206 894 288 289 292.0 100 Cape Hinchinbrook, AK Alaska 60.242 -146.656 5,246 320
6 022 022 001 292.0 100 Doobsky Russia [Eu] 44.633 37.922 8,537 426 022 022 001 292.0 100 Doobsky Russia [Eu] 44.633 37.922 8,537 42
6 141 482 483 295.0 200 Kuwait Kuwait 29.117 48.133 10,416 476 141 482 483 295.0 200 Kuwait Kuwait 29.117 48.133 10,416 47
6 670 740 741 292.0 200 Ch South Korea 38.554 128.408 10,971 3416 670 740 741 292.0 200 Ch South Korea 38.554 128.408 10,971 341
7 614 628 629 295.0 200 Shitang China 28.267 121.617 12,245 3447 614 628 629 295.0 200 Shitang China 28.267 121.617 12,245 344
8 627 654 655 295.0 200 Sanya China 18.283 109.367 13,545 3548 627 654 655 295.0 200 Sanya China 18.283 109.367 13,545 354
8 208 228 248 292.0 100 Cooper Lt South Africa -29.937 31.009 13,428 1058 208 228 248 292.0 100 Cooper Lt South Africa -29.937 31.009 13,428 105
9 605 610 611 291.5 200 CHN CHN 40.297 122.119 10,936 3469 605 610 611 291.5 200 CHN CHN 40.297 122.119 10,936 346
9 100 400 401 296.0 100 Okha [Humani Pt] India 22.481 69.071 12,197 349 100 400 401 296.0 100 Okha [Humani Pt] India 22.481 69.071 12,197 34
10 380 550 551 291.0 200 Bechet Romania 43.752 23.955 7,744 4910 380 550 551 291.0 200 Bechet Romania 43.752 23.955 7,744 49
10 445 685 695 291.5 100 Sumburgh Shetland Isles 59.869 -1.276 5,451 4010 445 685 695 291.5 100 Sumburgh Shetland Isles 59.869 -1.276 5,451 40
10 428 655 656 294.0 200 Vlieland Lt Netherlands 53.3 5.067 6,024 4710 428 655 656 294.0 200 Vlieland Lt Netherlands 53.3 5.067 6,024 47
11 929 312 313 296.0 200 St Jean Richelieu, QC Canada 45.324 -73.317 656 1711 929 312 313 296.0 200 St Jean Richelieu, QC Canada 45.324 -73.317 656 17
12 001 001 001 297.5 200 San Carlos Centro Argentina -31.967 -60.925 8,116 16712 001 001 001 297.5 200 San Carlos Centro Argentina -31.967 -60.925 8,116 167
13 651 702 703 295.0 200 Wakamiya Shima Lt Japan 33.876 129.692 11,424 33913 651 702 703 295.0 200 Wakamiya Shima Lt Japan 33.876 129.692 11,424 339
15 142 484 485 292.0 200 Ras Al Khaymah United Arab Emirates 25.983 56.067 11,170 4315 142 484 485 292.0 200 Ras Al Khaymah United Arab Emirates 25.983 56.067 11,170 43
15 362 524 525 293.0 100 Mahon, Menorca Balearics 39.867 4.3 6,589 6215 362 524 525 293.0 100 Mahon, Menorca Balearics 39.867 4.3 6,589 62
15 714 014 001 294.0 200 Darwin, NN Australia -12.445 130.959 16,008 31215 714 014 001 294.0 200 Darwin, NN Australia -12.445 130.959 16,008 312
18 742 124 125 294.0 200 Bandar Melaka Malaysia 2.183 102.233 15,353 318 742 124 125 294.0 200 Bandar Melaka Malaysia 2.183 102.233 15,353 3
22 942 340 341 288.0 200 Cape Ray, NL Canada 47.636 -59.241 1,591 5122 942 340 341 288.0 200 Cape Ray, NL Canada 47.636 -59.241 1,591 51
36 743 126 127 296.0 200 Kuala Besar Malaysia 6.217 102.233 14,905 336 743 126 127 296.0 200 Kuala Besar Malaysia 6.217 102.233 14,905 3
37 836 112 113 292.0 200 Cheboygan, MI United States 45.656 -84.475 970 31637 836 112 113 292.0 200 Cheboygan, MI United States 45.656 -84.475 970 316
57 814 028 029 293.0 200 English Turn, LA United States 29.886 -89.947 1,689 23457 814 028 029 293.0 200 English Turn, LA United States 29.886 -89.947 1,689 234
60 001 001 001 286.0 200 Semikarakorsk? Russia 47.543 40.876 8,474 3860 001 001 001 286.0 200 Semikarakorsk? Russia 47.543 40.876 8,474 38
289 799 044 045 290.0 200 Penobscot, ME United States 44.453 -68.776 782 45289 799 044 045 290.0 200 Penobscot, ME United States 44.453 -68.776 782 45
851 806 012 013 289.0 100 Driver, VA United States 36.963 -76.562 313 193851 806 012 013 289.0 100 Driver, VA United States 36.963 -76.562 313 193
5939 804 008 009 286.0 200 Sandy Hook, NJ United States 40.475 -74.02 172 605939 804 008 009 286.0 200 Sandy Hook, NJ United States 40.475 -74.02 172 60
15405 778 192 193 292.0 100 Kensington, SC United States 33.491 -79.349 761 20615405 778 192 193 292.0 100 Kensington, SC United States 33.491 -79.349 761 206
20270 771 196 197 294.0 100 New Bern, NC United States 35.181 -77.059 516 19320270 771 196 197 294.0 100 New Bern, NC United States 35.181 -77.059 516 193
30114 803 006 007 293.0 100 Moriches, NY United States 40.794 -72.756 284 6430114 803 006 007 293.0 100 Moriches, NY United States 40.794 -72.756 284 64