Data license: CC0 · Data source: metmuseum/openaccess
This data as json, CSV (advanced)
Link | rowid ▼ | value |
---|---|---|
101 | 101 | Goffstown |
102 | 102 | Hitchcocksville |
103 | 103 | Framingham |
104 | 104 | Kingston or vicinity |
105 | 105 | Tokyo |
106 | 106 | Wellingford |
107 | 107 | Watervliet|New Lebanon |
108 | 108 | Marshfield |
109 | 109 | Lancaster |
110 | 110 | Hingham |
111 | 111 | Pasadena |
112 | 112 | Ipswich |
113 | 113 | Guilford |
114 | 114 | New Haven |
115 | 115 | Belchertown |
116 | 116 | Syracuse |
117 | 117 | Boston|Salem |
118 | 118 | Guilford|Saybrook |
119 | 119 | Taunton |
120 | 120 | Berlin |
121 | 121 | Annapolis |
122 | 122 | Jersey City |
123 | 123 | Saratoga |
124 | 124 | Los Angeles |
125 | 125 | Leeds |
126 | 126 | Redwood |
127 | 127 | Boston|Newburyport |
128 | 128 | Southampton |
129 | 129 | Philadelphia|Greensburg |
130 | 130 | Kensington |
131 | 131 | New Bremen |
132 | 132 | New London |
133 | 133 | Chambersburg|Waynesboro |
134 | 134 | St. Louis |
135 | 135 | Cambridge|Boston |
136 | 136 | Waterford |
137 | 137 | Newcastle |
138 | 138 | Exeter|South Kingstown |
139 | 139 | New York|Albany |
140 | 140 | Milford |
141 | 141 | Keene |
142 | 142 | Malden |
143 | 143 | Buffalo |
144 | 144 | Eastwood |
145 | 145 | Baltimore|Philadelphia |
146 | 146 | Limoges |
147 | 147 | New York|Limoges |
148 | 148 | Atlanta|Limoges |
149 | 149 | Nuremberg |
150 | 150 | Charlestown |
151 | 151 | Fayetteville|Middletown |
152 | 152 | Durham |
153 | 153 | Westfield |
154 | 154 | Frankford |
155 | 155 | Richmond |
156 | 156 | Manheim |
157 | 157 | Puebla |
158 | 158 | Roxbury |
159 | 159 | Wakefield|Gardner |
160 | 160 | New Hackensack |
161 | 161 | Savannah |
162 | 162 | Aurora |
163 | 163 | New York|White Mills |
164 | 164 | North Attleboro |
165 | 165 | Bridgetown |
166 | 166 | Coventry|Keene |
167 | 167 | Coventry |
168 | 168 | Louisville |
169 | 169 | Louisville|Zanesville |
170 | 170 | Wellsburg |
171 | 171 | Vernon |
172 | 172 | Westford |
173 | 173 | Huntsville |
174 | 174 | Mohawk Valley |
175 | 175 | New Orleans |
176 | 176 | Sèvres |
177 | 177 | Marseille |
178 | 178 | Millville |
179 | 179 | Millville|Millville |
180 | 180 | Balmville |
181 | 181 | Riverside |
182 | 182 | Tarentum|Pittsburgh |
183 | 183 | Puedbla |
184 | 184 | Haddonfield |
185 | 185 | Santa Barbara |
186 | 186 | Braintree |
187 | 187 | Edgefield District |
188 | 188 | Waynesboro |
189 | 189 | Dorset |
190 | 190 | Reading |
191 | 191 | Norfolk|Portsmouth |
192 | 192 | Lanesborough|Springfield |
193 | 193 | Meriden|New York |
194 | 194 | San Francisco |
195 | 195 | Manheim|Elizabeth |
196 | 196 | Harrisburg |
197 | 197 | Haverhill |
198 | 198 | York |
199 | 199 | Terryville |
200 | 200 | Carlisle |
JSON shape: default, array, newline-delimited
CREATE VIRTUAL TABLE "City_value_fts" USING FTS4 (value, content="City");