Data license: CC0 · Data source: metmuseum/openaccess
This data as json, CSV (advanced)
Link | rowid | value ▼ |
---|---|---|
1054 | 1054 | & Elizeum Weyerstraet, 1667 |
1052 | 1052 | & Joanneum Chriegher, 1568–1569 |
1056 | 1056 | 1789–96 |
1058 | 1058 | 1939 |
763 | 763 | Abruzzo |
1059 | 1059 | Absam |
219 | 219 | Adamawa |
582 | 582 | Afyonkarahisar |
598 | 598 | Ahmadnagar |
924 | 924 | Aichi Prefecture |
489 | 489 | Aklan province |
559 | 559 | Al-Jazira |
449 | 449 | Alabama |
27 | 27 | Alamance |
96 | 96 | Alamance County |
386 | 386 | Alaska |
1130 | 1130 | Alaska |
454 | 454 | Alaska or British Columbia |
899 | 899 | Alaska or plains |
934 | 934 | Alaska? |
322 | 322 | Albacete |
92 | 92 | Albany County |
516 | 516 | Alberta |
505 | 505 | Alberta or Montana |
504 | 504 | Alberta or Saskatchewan |
623 | 623 | Alsace |
849 | 849 | Alsace (?) |
650 | 650 | Amalfi |
971 | 971 | Amazonas province |
1003 | 1003 | Ambrim Island probably |
870 | 870 | Amoy Province |
869 | 869 | Amoy area, Fukien province |
799 | 799 | Amsterdam (?) |
764 | 764 | Amsterdam(?) |
1021 | 1021 | Ancona |
731 | 731 | Andalusia |
251 | 251 | Andaman Island |
902 | 902 | Andes region |
1023 | 1023 | Andhra Maharashtra |
152 | 152 | Andhra Pradesh |
913 | 913 | Aneityum Island |
585 | 585 | Ankara |
483 | 483 | Antananarivo or Arivonimamo |
732 | 732 | Antioch |
627 | 627 | Antwerp |
639 | 639 | Antwerp (?) |
768 | 768 | Antwerp or Brussels |
170 | 170 | Antwerpen |
908 | 908 | Aoba island, Ambae |
911 | 911 | Aoba island, Ambae |
816 | 816 | Apulia |
340 | 340 | Aquitaine |
192 | 192 | Aragon |
752 | 752 | Aragon and Sicily |
374 | 374 | Arizona |
944 | 944 | Arizona & New Mexico |
406 | 406 | Arizona (?) |
368 | 368 | Arizona or New Mexico |
950 | 950 | Arizona or northern Mexico |
951 | 951 | Arizona, New Mexico, or Texas |
410 | 410 | Arkansas |
979 | 979 | Arnhem Land, North Territory |
463 | 463 | Arno Atoll |
818 | 818 | Artois |
253 | 253 | Arunāchal Pradesh |
667 | 667 | Asia Minor |
254 | 254 | Assam |
318 | 318 | Assam Hills |
642 | 642 | Asturias |
759 | 759 | Augsburg |
576 | 576 | Aurangabad or Golconda |
220 | 220 | Austria |
342 | 342 | Auvergne |
850 | 850 | Auvergne or Guyenne |
726 | 726 | Avignon (?) |
820 | 820 | Avignon ? |
1038 | 1038 | Ayutthaya? |
563 | 563 | Azerbaijan |
1120 | 1120 | Azuero Peninsula |
1102 | 1102 | Badakhshan Province |
346 | 346 | Balaeric Islands |
334 | 334 | Balearic Islands |
142 | 142 | Bali |
286 | 286 | Bali|Jawa |
300 | 300 | Bali|Jawa Timur |
294 | 294 | Bali|Madura |
299 | 299 | Bali|Sumatra |
310 | 310 | Balochistan |
312 | 312 | Balochistān |
354 | 354 | Baluchistan |
550 | 550 | Bania |
912 | 912 | Banks Islands |
1022 | 1022 | Barotseland |
226 | 226 | Basilan |
976 | 976 | Basutoland |
130 | 130 | Bavaria |
981 | 981 | Bavaria? |
807 | 807 | Beaune |
247 | 247 | Beijing Shi |
315 | 315 | Bengal |
JSON shape: default, array, newline-delimited
CREATE VIRTUAL TABLE "County_value_fts" USING FTS4 (value, content="County");