ZooBase: Global Marine Zooplankton Species Occurrences
by Fabio Benedetti / ETH Zurich
Available on 1 platform
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Description
ZooBase is a global dataset of marine zooplankton species occurrences compiled by Fabio Benedetti of ETH Zurich. It aggregates presence data for key zooplankton groups from sources including OBIS, GBIF, and specific research initiatives. The data was retrieved in April 2018 and underwent quality filtering for spatial coordinates, sampling date, depth, and species-level identification.
Use Cases
Modeling global zooplankton species distributions based on occurrence records.
Analyzing community composition and diversity of marine zooplankton groups mentioned in the description.
Studying the spatial overlap of species observations between major biodiversity databases like OBIS and GBIF.
Investigating bathymetric patterns in zooplankton occurrence based on the described depth filtering.
Strengths
Focuses on major zooplankton groups comprising the bulk of extant oceanic communities, as listed in the description.
Integrates data from multiple authoritative sources: OBIS, GBIF, Cornils et al. (2018), and the MAREDAT initiative.
Applied quality filters for missing coordinates, incomplete dates, records older than 1800, missing depth, and non-species-level identifications.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Last update date is unknown; freshness unverified.
Provenance
Source
Aggregated from OBIS, GBIF, Cornils et al. (2018), and MAREDAT.
Collection Method
Data retrieved via R packages (RPostgreSQL, robis, rgbif) in April 2018, followed by quality filtering and integration.
Time Range
Records collected up to April 2018, with a filter excluding data older than 1800.
Geography
Global marine coverage.
License is listed as Open Access (green); specific usage terms should be verified from the original source.