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CensusIO CensusIO Guide

Exporting records

To take the records themselves out of CensusIO, open a survey type’s records and choose Export.

The export menu An Export button opens a menu. Under Include review states are four checkboxes (Draft, In review, Approved, Rejected, all checked), a note that Approved is the official set, then three format choices: Occurrence CSV, GeoJSON, and Darwin Core Archive. Export ▾ INCLUDE REVIEW STATES Draft In review Approved Rejected Approved is the official set. Other states are for internal use. Occurrence CSVGeoJSONDarwin Core Archive
Choose which review states to include, then a format.

Choose which records

Section titled “Choose which records”

The menu first asks which review states to include: Draft, In review, Approved, and Rejected, all selected by default. Approved is the official set; the other states are there for internal use. Uncheck states to export, say, only approved records.

Choose a format

Section titled “Choose a format”
  • Occurrence CSV: one row per record, with the columns mapped to Darwin Core occurrence terms. A simple, standards-aligned table that opens in any spreadsheet.
  • GeoJSON: a feature collection for GIS tools, where each record with a location becomes a feature with its full attribute table.
  • Darwin Core Archive: a zipped, publish-ready package (see below).
  • Humboldt Extension (CSV): the survey-level metadata table on its own (whether absences were recorded, how complete the inventory was, how many sites), as a flat CSV. The same rows also travel inside the Darwin Core Archive.

The Darwin Core Archive

Section titled “The Darwin Core Archive”

The Darwin Core Archive is the format biodiversity repositories expect. It is a single .zip containing:

  • occurrence.csv, the records as Darwin Core occurrence rows.
  • measurementorfact.csv, the measurements (lengths, weights, and the like) as a Darwin Core extension, when the survey has them.
  • humboldt.csv, the Humboldt Extension for Ecological Inventories: survey-level metadata such as whether absences were recorded, how complete the inventory was, how many sites were covered, and survey effort, when the survey records it. The ANS survey types and the wildlife inventory survey types (point counts, acoustic and roost surveys, classification and transect counts, depletion and netting events) ship with these fields; single-record types like a harvest check or one found-dead animal do not.
  • meta.xml, a machine-readable map from each column to its standard term.
  • eml.xml, the dataset metadata (title, organization, date, description).