Waterfowl Species Detected by Visual, eBird, and eDNA Surveys in 2020

Waterfowl species detection records from a 2020 field study combining three methods: ground visual surveys, eBird checklists, and targeted metabarcoding of environmental DNA (eDNA). The dataset was authored by Luciana Guimaraes de Andrade and is shared under a CC-BY-4.0 license. It is a small dataset, 9.5 KB in size, stored in an XLS file.

Use Cases

• Compare detection rates and species lists across visual, citizen science (eBird), and eDNA survey methods.
• Assess the effectiveness of environmental DNA (eDNA) metabarcoding for monitoring waterfowl biodiversity.
• Study waterfowl species presence and distribution based on the 2020 sampling data.

Strengths

• Data integrates three distinct detection methods (visual, eBird, eDNA) for cross-validation.
• Explicitly licensed as CC-BY-4.0, permitting open sharing and adaptation.
• File size is 9.5 KB, indicating a simple, lightweight structure for quick inspection.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Combined ground visual surveys, eBird checklists, and targeted metabarcoding (eDNA) during field sampling.

Time Range

2020

Freshness

Last updated 2026-04-28 17:42:24; freshness should be verified.

Geography

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