Tracking biogeographical change from its footprints in botanical literature

<p>Early results from an investigation into the usefulness of botanical literature to provide historical information on the distributions of plants. Based upon the case of <em>Chenopodium vulvaria</em>, a small weed of waste places.</p

GBIF-HIT Harvesting process.

<p>It consists of 4 major steps that have to be executed after each update of a datasource. The harvested data is eventually parsed and stored into the database.</p

ABCD versions supported by the GBIF-HIT and B-HIT.

<p>Supported ABCD versions are marked with an X.</p><p>ABCD versions supported by the GBIF-HIT and B-HIT.</p

Representation of associated units in ABCD 2.1.

<p>A DNA Sample with the triple ID “DB 4745—BGBM—DNA Bank” is associated to a tissue (triple ID “B GT 0004682—BGBM—Herbarium Berolinense”). This tissue is associated to a herbarium sheet (triple ID “B 10 0163635—BGBM—Herbarium Berolinense”). The associated dataset access point and triple ID make it possible to retrieve each record.</p

Principal model of raw and improved data in the B-HIT database.

<p>Corresponding raw and improved table (i.e. identification from the provider and improved identification) are linked through a 1–1 relation. Multiple identifications can be associated to a single record and are therefore linked through a 1-n relation with the (raw) occurrence table.</p

Export subset of the quality logs.

<p>The dedicated tables, for each kind of test, store the test name, the value from the provider, the improved value, and a brief explanation. The list of concerned records is also saved in the quality tables for helping the provider to find and correct its data.</p><p>Export subset of the quality logs.</p

Web interface of B-HIT.

<p>This extended user-interface makes it possible to gain access to the new functionalities (i.e. Associated Datasource Harvesting, Data quality, Datasource Management) through a series of tabs.</p