Data license: CC0 · Data source: metmuseum/openaccess
This data as json, CSV (advanced)
Link | rowid ▼ | value |
---|---|---|
101 | 101 | Shiga Prefecture |
102 | 102 | Fukui |
103 | 103 | Shizuoka |
104 | 104 | Saga Prefecture |
105 | 105 | Gifu |
106 | 106 | probably Gifu |
107 | 107 | Nagato Province (Yamaguchi Prefecture) |
108 | 108 | Toyama |
109 | 109 | Kagoshima Prefecture|Ibaraki Prefecture |
110 | 110 | Saga|Nagasaki |
111 | 111 | Gifu|Kyoto|Ibaraki |
112 | 112 | Okayama |
113 | 113 | Shizuoka Prefecture |
114 | 114 | Saga |
115 | 115 | Mie |
116 | 116 | Oita |
117 | 117 | Yamaguchi |
118 | 118 | Connecticut |
119 | 119 | Tuscany |
120 | 120 | Tyrol |
121 | 121 | probably Burgundy or Flanders |
122 | 122 | Siena |
123 | 123 | Kai province |
124 | 124 | Kōdzuke province |
125 | 125 | Kumamoto Prefecture |
126 | 126 | New York |
127 | 127 | Saxony |
128 | 128 | possibly Saxony |
129 | 129 | Catalonia |
130 | 130 | Bavaria |
131 | 131 | Kozuke |
132 | 132 | Saitama Prefecture |
133 | 133 | Kyoto |
134 | 134 | Tokyo |
135 | 135 | Musashi |
136 | 136 | Gumma Prefecture |
137 | 137 | Yamato |
138 | 138 | Kanagawa |
139 | 139 | Osaka |
140 | 140 | Kagawa |
141 | 141 | Hyderabad |
142 | 142 | Bali |
143 | 143 | Kyushu |
144 | 144 | probably Saxony |
145 | 145 | Nigata |
146 | 146 | Watayama |
147 | 147 | Hyōgo Prefecture |
148 | 148 | Ishikawa Prefecture |
149 | 149 | Kanagawa Prefecture |
150 | 150 | Sindh |
151 | 151 | Krym, Avtonomna Respublika |
152 | 152 | Andhra Pradesh |
153 | 153 | Sagami |
154 | 154 | New Jersey |
155 | 155 | probably Rajastan |
156 | 156 | Sulu |
157 | 157 | Tamil Nadu |
158 | 158 | Tmail Nadu |
159 | 159 | Ishikawa |
160 | 160 | Kagoshima |
161 | 161 | Osaka Prefecture |
162 | 162 | Yamaguchi Prefecture |
163 | 163 | Miyagi Prefecture |
164 | 164 | Tottori Prefecture|Shiga Prefecture |
165 | 165 | Nagano Prefecture |
166 | 166 | Harima |
167 | 167 | Matanzas|La Habana |
168 | 168 | Massachussets|Massachusetts |
169 | 169 | Massachusetts |
170 | 170 | Antwerpen |
171 | 171 | South Carolina|South Carolina |
172 | 172 | Pennsylvania |
173 | 173 | Milan |
174 | 174 | Musashi Province |
175 | 175 | probably Milan |
176 | 176 | possibly Sardinia |
177 | 177 | Georgia |
178 | 178 | Brescia |
179 | 179 | Bizen Province (present-day Okayama Prefecture) |
180 | 180 | Texas |
181 | 181 | Venice |
182 | 182 | Connecticut|New York |
183 | 183 | Massachusetts|New York |
184 | 184 | Okinawa prefecture |
185 | 185 | Yunnan|Sichuan |
186 | 186 | Lombardy |
187 | 187 | Fribourg |
188 | 188 | Verona |
189 | 189 | possibly Bavaria |
190 | 190 | Karnātaka |
191 | 191 | New Mexico |
192 | 192 | Aragon |
193 | 193 | Germany |
194 | 194 | possibly Tyrol |
195 | 195 | Uttar Pradesh |
196 | 196 | Woensdrecht |
197 | 197 | Izu |
198 | 198 | Tosa province |
199 | 199 | Lower Saxony |
200 | 200 | Champagne-Ardenne |
JSON shape: default, array, newline-delimited
CREATE VIRTUAL TABLE "County_value_fts" USING FTS4 (value, content="County");