This data as json, CSV (advanced)
Suggested facets: page, page_url, trove_id, date (date)
| Link | rowid ▼ | date | page | column | title | description | source | page_url | trove_id |
|---|---|---|---|---|---|---|---|---|---|
| 1554 | 1554 | 1899-01-11 | 3 | b | Behaviour of sparrows in Zengcheng warned locals of ominent fire. | http://trove.nla.gov.au/newspaper/page/24102260 | 24102260 | ||
| 1563 | 1563 | 1899-01-11 | 2 | b | Empress requests pickled vegetables in court for meals. | http://trove.nla.gov.au/newspaper/page/24102259 | 24102259 | ||
| 1564 | 1564 | 1899-01-11 | 2 | b | Li Hongzhang, together with several Western engineers, surveys the Yellow River. | http://trove.nla.gov.au/newspaper/page/24102259 | 24102259 | ||
| 1575 | 1575 | 1899-01-11 | 4 | b | Price list of products in Melbourne market. | http://trove.nla.gov.au/newspaper/page/24102257 | 24102257 |
JSON shape: default, array, newline-delimited
CREATE TABLE [article_index] (
[date] TEXT,
[page] TEXT,
[column] TEXT,
[title] TEXT,
[description] TEXT,
[source] TEXT,
[page_url] TEXT,
[trove_id] TEXT
);
CREATE INDEX [idx_article_index_date]
ON [article_index] ([date]);