Data license: CC0 · Data source: metmuseum/openaccess
This data as json, CSV (advanced)
| Link | rowid ▼ | value |
|---|---|---|
| 1 | 1 | Philadelphia |
| 2 | 2 | Bristol |
| 3 | 3 | New York |
| 4 | 4 | Lebanon |
| 5 | 5 | Norwich |
| 6 | 6 | East Cambridge |
| 7 | 7 | Somerville |
| 8 | 8 | Boston |
| 9 | 9 | Delft |
| 10 | 10 | Meriden |
| 11 | 11 | Rye |
| 12 | 12 | Oyster Bay |
| 13 | 13 | New Lebanon |
| 14 | 14 | London |
| 15 | 15 | Portsmouth |
| 16 | 16 | Boston|Philadelphia |
| 17 | 17 | Boston|Charlestown |
| 18 | 18 | Lititz |
| 19 | 19 | Chicago |
| 20 | 20 | Wakefield |
| 21 | 21 | Portland |
| 22 | 22 | Salem |
| 23 | 23 | Newark |
| 24 | 24 | New York|Paris |
| 25 | 25 | Bennington |
| 26 | 26 | Hartford |
| 27 | 27 | Paris |
| 28 | 28 | Petersburg |
| 29 | 29 | Alexandria |
| 30 | 30 | Concord |
| 31 | 31 | Sandwich |
| 32 | 32 | Pittsburgh |
| 33 | 33 | Strasburg |
| 34 | 34 | Middletown |
| 35 | 35 | Baltimore |
| 36 | 36 | Providence |
| 37 | 37 | Preston |
| 38 | 38 | Hartford|New York |
| 39 | 39 | Charleston |
| 40 | 40 | Albany |
| 41 | 41 | Cincinnati |
| 42 | 42 | Worcester |
| 43 | 43 | Newburyport |
| 44 | 44 | Barnstable|Bristol |
| 45 | 45 | Barnstable |
| 46 | 46 | Beverly |
| 47 | 47 | Hancock |
| 48 | 48 | Brooklyn |
| 49 | 49 | Trenton |
| 50 | 50 | Troy |
| 51 | 51 | Cambridge |
| 52 | 52 | Dordrecht|Amsterdam |
| 53 | 53 | Colchester |
| 54 | 54 | Enfield |
| 55 | 55 | Tarentum |
| 56 | 56 | Chelsea |
| 57 | 57 | Zanesville |
| 58 | 58 | Mantua|New Geneva |
| 59 | 59 | Alloway |
| 60 | 60 | Wistarburg |
| 61 | 61 | Liverpool |
| 62 | 62 | Canton |
| 63 | 63 | Mantua |
| 64 | 64 | Goshen |
| 65 | 65 | New Bedford |
| 66 | 66 | East Cambridge|Sandwich |
| 67 | 67 | Findlay |
| 68 | 68 | Corning |
| 69 | 69 | Wheeling |
| 70 | 70 | East Liverpool |
| 71 | 71 | Cincinnati|Trenton |
| 72 | 72 | Gardner |
| 73 | 73 | White Mills |
| 74 | 74 | Deerfield |
| 75 | 75 | Denver |
| 76 | 76 | Windsor |
| 77 | 77 | Dedham|Medfield |
| 78 | 78 | Washington DC |
| 79 | 79 | Stoke-on-Trent |
| 80 | 80 | Philadelphia|Middletown |
| 81 | 81 | Newport |
| 82 | 82 | Waterbury |
| 83 | 83 | Thetford |
| 84 | 84 | Sheffield |
| 85 | 85 | Westbrook |
| 86 | 86 | Birmingham |
| 87 | 87 | Princeton |
| 88 | 88 | Bedford |
| 89 | 89 | Bolton |
| 90 | 90 | South Kingstown |
| 91 | 91 | Marblehead |
| 92 | 92 | Newport|Middletown |
| 93 | 93 | Branford|Saybrook |
| 94 | 94 | Plymouth |
| 95 | 95 | Philadelphia|Baltimore |
| 96 | 96 | Toledo |
| 97 | 97 | Berkshire |
| 98 | 98 | Dorchester |
| 99 | 99 | Cleveland |
| 100 | 100 | New Lebanon|Watervliet |
JSON shape: default, array, newline-delimited
CREATE VIRTUAL TABLE "City_value_fts"
USING FTS4 (value, content="City");