Sherlock

This dataset is described in the paper:
"Shared experience, shared memory: a common structure for brain activity during naturalistic recall"
Janice Chen, Yuan Chang Leong, Kenneth A Norman, Uri Hasson. Paper available at https://www.nature.com/articles/nn.4450

Sixteen subjects watched the first 50 minutes of Episode 1 of BBC's Sherlock. (There are 17 described in the paper; 1 was removed for this dataset due to a small amount of missing data at the end of the movie scan.)

The movie was split into two parts of approximately equal length. Immediately afterward (a few minutes to set up the next scan, but no intervening task), subjects described aloud what they recalled from the movie. The movie was segmented into 50 scenes, and each subject's recall/description was segmented into the same scenes (for the scenes that they remembered).
After preprocessing, subject-specific cropping of each file is required in order for the scene timestamps to apply.

Movie data: Scan 1
For each subject, crop the data in the following way (TRs, not seconds):
Subj Crop from beginning Crop from end
1 20 7
2 20 7
3 20 6
4 6 13
5 20 8
6 20 7
7 20 6
8 20 5
9 20 4
10 20 6
11 20 3
12 20 5
13 20 5
14 20 6
15 20 3
16 20 5
This cropping results in data files that are 946 TRs for each subject.

Movie data: Scan 2
For each subject, crop the data in the following way (TRs, not seconds):
Subj Crop from beginning Crop from end
1 20 11
2 20 7
3 20 7
4 6 5
5 20 7
6 20 7
7 20 10
8 20 7
9 20 8
10 20 8
11 20 6
12 20 7
13 20 6
14 20 4
15 20 4
16 20 6
This cropping results in data files that are 1030 TRs for each subject.

Recall data: One scan
For each subject, crop the data in the following way (TRs, not seconds) (for negative values, add rather than crop TRs):
Subj Crop from beginning Crop from end
1 5 0
2 3 0
3 3 0
4 3 0
5 -9 0
6 -9 0
7 -19 0
8 -12 0
9 -3 0
10 -5 0
11 -38 0
12 -56 0
13 -34 0
14 -20 0
15 -15 0
16 -33 0
This cropping aligns the data files to the audio recording, from which the timestamps were extracted.

Scene number and Onset/Offset of each MOVIE scene, in TRs, same for all subjects:

Movie Scan 1
Scene Onset Offset
1 1 26
2 27 35
3 36 55
4 56 86
5 88 109
6 110 130
7 132 143
8 145 157
9 158 172
10 174 192
11 194 203
12 206 225
13 227 313
14 315 361
15 364 399
16 400 503
17 508 525
18 527 534
19 536 615
20 616 633
21 635 641
22 643 679
23 680 697
24 700 747
25 749 868
26 873 891
27 892 945

Movie Scan 2
Scene Onset Offset
1 1 25
2 27 69
3 71 129
4 131 145
5 146 193
6 195 275
7 276 325
8 344 412
9 414 489
10 491 523
11 525 635
12 636 671
13 672 728
14 730 747
15 748 756
16 758 790
17 791 813
18 815 859
19 860 875
20 877 912
21 914 960
22 962 1000
23 1001 1030

Scene number (matching the movie) and Onset/Offset of each RECALL scene, in TRs, different for each subject:

Subject 1:
Scene Onset Offset
2 2 7
3 8 11
5 12 17
8 18 47
14 48 68
15 84 113
16 114 173
18 195 210
19 174 194
22 211 220
24 221 233
30 234 257
32 258 267
34 268 295
35 296 311
36 312 337
37 338 353
38 354 382
39 383 394
40 395 408
41 409 423
43 424 439
44 440 449
45 450 478
48 479 498
49 499 507
50 509 520

Subject 2:
Scene Onset Offset
2 6 18
3 19 24
5 25 44
13 114 179
14 273 292
15 68 99
16 101 110
19 180 217
22 218 249
24 250 261
25 293 333
26 334 354
29 355 375
30 399 488
34 489 517
35 518 549
36 550 634
37 635 653
38 654 713
39 714 738
41 739 751
44 785 820
45 821 860
49 861 883

Subject 3:
Scene Onset Offset
2 6 20
3 21 25
4 26 34
5 35 54
8 55 88
9 89 97
10 98 107
11 108 118
13 180 221
14 129 152
16 153 179
16 222 245
19 246 273
22 274 299
24 300 325
29 326 345
30 346 355
33 356 423
34 424 461
35 462 475
36 476 501
37 502 506
38 507 540
40 541 565
41 566 575
42 576 581
43 586 589
44 590 608
45 609 621
46 622 643
47 644 676
48 677 697
49 698 713

Subject 4:
Scene Onset Offset
2 3 12
3 13 30
4 31 47
5 48 66
8 95 111
9 112 113
10 114 119
11 120 125
12 126 139
13 140 158
14 67 94
15 168 189
16 190 217
19 218 233
21 240 247
22 248 271
23 234 239
24 272 280
25 281 284
27 285 299
30 300 319
33 320 339
34 340 347
35 348 363
36 364 371
37 372 378
38 379 388
39 389 395
40 396 400
43 401 407
44 408 414
45 415 425
47 426 435

Subject 5:
Scene Onset Offset
2 14 28
3 29 37
4 38 53
5 54 64
7 65 81
8 82 93
9 94 109
10 110 118
11 119 135
13 234 273
14 140 158
15 159 191
16 192 233
18 537 551
19 276 291
22 292 305
24 306 330
25 331 381
26 382 425
27 426 447
30 448 464
32 529 536
33 465 511
34 512 528
35 552 603
36 604 620
37 621 632
38 633 645
39 646 659
40 660 705
42 706 712
43 718 722
44 723 734
45 735 759
46 760 778
47 810 825
48 779 809
49 826 850
50 851 880

Subject 6:
Scene Onset Offset
2 18 25
3 26 31
5 32 48
7 144 160
8 161 179
9 180 188
10 189 207
11 208 213
12 221 247
14 49 79
15 80 85
16 86 143
19 254 293
22 296 327
23 333 344
24 345 358
27 374 429
30 359 373
31 430 463
33 464 516
36 598 616
37 617 620
38 621 625
39 626 627
40 628 634
45 551 571
46 635 652
48 520 550
49 572 597
50 653 673

Subject 7:
Scene Onset Offset
2 28 37
3 38 42
5 44 59
7 61 75
8 76 77
9 79 87
11 88 97
12 98 105
13 106 149
14 151 164
14 192 201
16 166 191
16 202 240
19 242 277
21 280 289
22 290 340
23 342 354
24 355 373
25 374 426
26 427 448
27 450 507
29 511 530
30 531 531
31 534 599
32 602 622
34 624 647
35 648 667
36 668 695
37 696 701
38 703 731
39 766 789
40 732 762
42 798 802
43 791 797
44 804 821
45 823 830
46 831 848
47 849 878
48 880 910
48 931 949
49 911 928
50 950 1009

Subject 8:
Scene Onset Offset
2 22 31
3 34 48
4 49 70
8 216 236
11 238 239
12 242 249
14 72 110
15 115 156
16 158 190
19 192 214
22 250 269
24 272 285
27 286 313
29 316 333
31 338 363
32 366 378
34 379 406
35 407 439
36 442 487
37 488 510
38 512 575
39 577 583
41 584 587
44 588 594
45 628 640
47 642 675
48 596 627
50 678 695

Subject 9:
Scene Onset Offset
2 11 19
3 20 23
4 24 28
5 29 41
7 42 54
8 56 58
9 74 77
11 60 70
12 72 85
13 133 161
14 86 131
15 164 180
16 184 234
18 238 249
19 251 283
21 285 295
22 296 329
24 332 340
25 342 404
26 406 418
27 420 474
29 484 498
30 476 483
31 499 531
33 534 547
34 548 572
35 576 606
36 608 643
37 645 659
38 662 679
39 680 695
40 696 727
41 730 735
42 736 741
43 742 756
44 758 763
45 764 788
48 790 819
49 820 825
50 828 840

Subject 10:
Scene Onset Offset
2 14 24
3 25 27
4 28 31
5 33 47
8 182 185
9 160 176
11 177 181
12 187 191
13 210 219
14 49 65
15 66 98
16 100 138
17 140 146
19 148 159
22 192 209
23 220 239
24 240 253
30 255 279
31 280 297
32 314 321
34 298 313
35 322 355
36 357 371
37 372 377
38 379 396
39 397 398
40 399 435
41 437 439
42 440 444
44 445 451
45 452 461
48 462 483
49 485 490
50 492 521

Subject 11:
Scene Onset Offset
2 44 60
3 62 75
4 77 89
5 90 107
7 109 121
8 123 152
9 154 167
10 170 190
11 192 203
12 204 233
13 236 311
14 314 341
15 344 406
16 408 480
18 542 551
19 483 527
21 530 533
22 534 541
22 554 614
24 616 631
25 633 664
26 666 683
27 685 741
29 742 773
30 775 786
31 788 825
32 828 836
34 838 868
35 870 887
36 888 937
37 939 963
38 965 1006
38 1012 1040
39 1008 1011
41 1042 1050
42 1051 1056
44 1058 1073
45 1075 1111
48 1112 1166
50 1168 1223

Subject 12:
Scene Onset Offset
1 67 109
2 112 123
3 124 130
4 132 157
5 159 203
6 530 535
7 208 225
8 227 232
8 244 249
9 234 243
10 252 262
11 264 273
12 276 312
13 314 409
14 420 486
15 412 414
15 488 527
16 538 640
17 830 839
18 643 651
19 653 710
20 712 717
21 722 737
22 738 783
22 814 821
23 784 801
24 804 813
24 823 837
25 839 940
25 840 857
27 942 1035
29 1036 1072
30 1074 1111
31 1113 1167
32 1170 1194
33 1196 1283
34 1284 1333
35 1336 1360
36 1366 1396
37 1397 1413
38 1419 1513
38 1562 1571
39 1518 1541
40 1542 1561
41 1572 1581
42 1761 1765
43 1583 1589
44 1598 1607
45 1608 1657
46 1766 1780
48 1659 1717
49 1718 1729
50 1730 1760
50 1782 1789
50 1818 1823

Subject 13:
Scene Onset Offset
2 54 70
3 71 77
4 79 89
5 92 121
7 168 194
8 196 207
10 208 232
11 235 259
12 260 289
13 291 353
14 124 165
15 364 409
16 354 362
16 410 509
19 512 559
21 560 567
22 569 618
24 620 649
25 650 678
26 680 697
30 699 717
31 719 754
33 758 777
34 778 803
35 804 828
36 829 866
37 867 885
38 887 901
38 981 1017
39 903 937
40 938 979
42 1019 1030
43 1032 1041
44 1044 1057
45 1062 1077
46 1206 1227
47 1081 1093
48 1095 1145
49 1146 1205
50 1228 1275

Subject 14:
Scene Onset Offset
8 22 45
11 48 55
13 58 133
15 164 202
16 136 163
16 204 253
17 257 261
19 263 289
22 293 323
24 325 339
27 342 415
30 421 442
31 445 470
32 474 484
33 487 511
34 512 521
35 524 541
36 544 563
37 565 575
38 578 618
38 664 675
39 620 640
40 644 663
44 677 695
45 698 749
46 752 771
48 774 797
49 798 810
50 813 827

Subject 15:
Scene Onset Offset
2 20 25
3 32 34
5 26 31
5 36 54
7 56 64
8 65 66
9 68 69
11 97 113
13 71 95
14 118 133
15 135 169
16 170 235
16 446 457
18 274 280
19 236 255
21 256 262
22 263 273
22 281 323
23 324 329
24 330 356
25 364 413
27 358 363
27 414 427
27 574 589
30 429 445
30 459 471
31 473 520
34 522 553
35 554 571
36 591 621
37 623 635
38 636 652
39 654 674
40 676 699
41 702 710
42 712 717
43 718 737
44 739 745
45 746 769
46 792 808
48 770 790
49 810 833
50 835 866

Subject 16:
Scene Onset Offset
2 41 51
3 52 67
4 69 81
5 83 109
7 112 136
8 138 146
8 384 387
9 147 163
10 165 185
11 186 197
11 388 390
12 199 201
12 211 221
12 391 393
13 202 210
13 223 251
14 254 289
15 292 333
16 334 383
19 395 424
22 426 461
25 464 567
27 568 628
29 629 637
30 648 703
31 704 737
32 739 754
33 756 813
34 816 833
35 834 887
35 1290 1296
36 889 968
37 970 989
38 990 1050
38 1212 1234
39 1052 1077
40 1078 1135
41 1137 1173
43 1174 1183
44 1184 1211
44 1235 1251
45 1254 1288
46 1298 1315
47 1350 1377
48 1317 1348
49 1378 1409
50 1412 1440

To check your results, here are the mean diagonal values for each subject's movie vs. recall (within-subject) correlation matrix of average scene patterns in the PCC_481vox_3mm (in derivatives folder) ROI:
(same values as in the bioRxiv paper figure 2C, but in this dataset subject 5 was removed)
(ROI taken from a resting-state connectivity atlas, Shirer et al. (2012) Cereb Cortex)
(these values may vary a bit depending on your preprocessing parameters; I used 6mm smoothing)
Subject R-value
1 0.0764
2 0.1857
3 0.1558
4 0.0924
5 0.2262
6 0.1007
7 0.1811
8 0.0861
9 0.1331
10 0.1429
11 0.2254
12 0.1737
13 0.1087
14 0.1386
15 0.0800
16 0.2540