Extended Data Table 4.
Sample | Target | Type | Nauto | NX | NY | NX/Nauto | NY/Nauto | X-rate | Y-rate | Sex |
---|---|---|---|---|---|---|---|---|---|---|
1240k or 2.2M* | 1151240 | 49711 | 32681 | 0.0432 | 0.0284 | |||||
390k | 388745 | 1819 | 2242 | 0.0047 | 0.0058 | |||||
| ||||||||||
Kostenki14 | 2.2M | all | 29633405 | 395534 | 262846 | 0.0133 | 0.0089 | 0.309 | 0.312 | M |
GoyetQ116-1 | 1240k | all | 2122620 | 36391 | 22256 | 0.0171 | 0.0105 | 0.397 | 0.369 | M |
Cioclovina1 | 1240k | Damage | 11521 | 184 | 125 | 0.0160 | 0.0108 | 0.370 | 0.382 | M |
Kostenki12 | 2.2M | Subset | 63908 | 856 | 504 | 0.0134 | 0.0079 | 0.310 | 0.278 | M |
Muierii2 | 2.2M | Damage | 81165 | 2177 | 8 | 0.0268 | 0.0001 | 0.621 | 0.003 | F |
Vestonice13 | 2.2M | Damage | 119094 | 1578 | 1059 | 0.0133 | 0.0089 | 0.307 | 0.313 | M |
Vestonice15 | 2.2M | Damage | 28762 | 338 | 227 | 0.0118 | 0.0079 | 0.272 | 0.278 | M |
Vestonice14 | 390k | Damage | 4846 | 8 | 11 | 0.0017 | 0.0023 | 0.353 | 0.394 | M |
Vestonice43 | 2.2M | Damage | 136933 | 1826 | 1204 | 0.0133 | 0.0088 | 0.309 | 0.310 | M |
Pavlov1 | 2.2M | Damage | 54429 | 631 | 404 | 0.0116 | 0.0074 | 0.268 | 0.261 | M |
Vestonice16 | 2.2M | Subset | 2433741 | 30463 | 20976 | 0.0125 | 0.0086 | 0.290 | 0.304 | M |
KremsWA3 | 1240k | all | 235069 | 4119 | 2661 | 0.0175 | 0.0113 | 0.406 | 0.399 | M |
Ostuni2 | 2.2M | Damage | 15749 | 138 | 1 | 0.0088 | 0.0001 | 0.203 | 0.002 | F |
Ostuni1 | 2.2M | Damage | 427199 | 10868 | 47 | 0.0254 | 0.0001 | 0.589 | 0.004 | F |
Paglicci108 | 1240k | Damage | 3883 | 124 | 2 | 0.0319 | 0.0005 | 0.740 | 0.018 | F |
GoyetQ53-1 | 1240k | Damage | 10771 | 311 | 4 | 0.0289 | 0.0004 | 0.669 | 0.013 | F |
GoyetQ376-19 | 1240k | Damage | 20052 | 680 | 10 | 0.0339 | 0.0005 | 0.785 | 0.018 | F |
GoyetQ56-16 | 1240k | Damage | 8702 | 304 | 7 | 0.0349 | 0.0008 | 0.809 | 0.028 | F |
Paglicci133 | 1240k | Subset | 81092 | 1641 | 983 | 0.0202 | 0.0121 | 0.469 | 0.427 | M |
ElMiron | 2.2M | Damage | 1765696 | 40647 | 196 | 0.0230 | 0.0001 | 0.533 | 0.004 | F |
HohleFels79 | 390k | Damage | 10188 | 28 | 22 | 0.0027 | 0.0022 | 0.587 | 0.374 | M |
AfontovaGora3 | 2.2M | Damage | 291798 | 8705 | 37 | 0.0298 | 0.0001 | 0.691 | 0.004 | F |
HohleFels49 | 390k | Damage | 61051 | 113 | 111 | 0.0019 | 0.0018 | 0.396 | 0.315 | M |
Rigney1 | 1240k | Damage | 32797 | 1131 | 9 | 0.0345 | 0.0003 | 0.799 | 0.010 | F |
GoyetQ-2 | 1240k | Damage | 65563 | 1123 | 706 | 0.0171 | 0.0108 | 0.397 | 0.379 | M |
Brillenhohle | 390k | Damage | 12603 | 22 | 22 | 0.0017 | 0.0017 | 0.373 | 0.303 | M |
Burkhardtshohle | 1240k | Damage | 34207 | 563 | 407 | 0.0165 | 0.0119 | 0.381 | 0.419 | M |
Villabruna | 2.2M | Subset | 5505838 | 72055 | 52110 | 0.0131 | 0.0095 | 0.303 | 0.333 | M |
Rochedane | 1240k | Subset | 256325 | 4780 | 2830 | 0.0186 | 0.0110 | 0.432 | 0.389 | M |
Continenza | 2.2M | Damage | 10647 | 208 | 2 | 0.0195 | 0.0002 | 0.452 | 0.007 | F |
Iboussieres39 | 390k | Damage | 8246 | 12 | 22 | 0.0015 | 0.0027 | 0.311 | 0.463 | M |
Ranchot88 | 1240k | Damage | 594962 | 18520 | 119 | 0.0311 | 0.0002 | 0.721 | 0.007 | F |
LesCloseaux13 | 1240k | Damage | 7326 | 275 | 2 | 0.0375 | 0.0003 | 0.869 | 0.010 | F |
Falkenstein | 390k | Damage | 58970 | 113 | 102 | 0.0019 | 0.0017 | 0.410 | 0.300 | M |
Bockstein | 390k | Damage | 20214 | 62 | 0 | 0.0031 | 0.0000 | 0.655 | 0.000 | F |
Ofnet | 390k | Damage | 5294 | 13 | 1 | 0.0025 | 0.0002 | 0.525 | 0.033 | F |
Chaudardes1 | 1240k | Damage | 84052 | 1429 | 865 | 0.0170 | 0.0103 | 0.394 | 0.363 | M |
BerryAuBac | 1240k | All | 49670 | 902 | 554 | 0.0182 | 0.0112 | 0.421 | 0.393 | M |
We restrict analysis to the 1240k target set for study of the 2.2M capture datasets.