Aquatic assemblages, environmental variables, and land use data from a Brazilian semi-arid

Two sampling campaigns in 2018 and 2019 collected biological and environmental data from six sites along a non-perennial river in northeastern Brazil. The dataset includes species composition and abundance for fish and macroinvertebrates, alongside limnological variables, habitat characteristics, and land use data from MapBiomas. Author Santos-Dantas provides raw observational data, derived spatial eigenvectors, and analysis scripts.

Use Cases

• Modeling species distribution based on environmental variables like water temperature, dissolved oxygen, and pH
• Analyzing the relationship between riparian land cover and aquatic community structure
• Conducting spatial statistical analysis using provided asymmetric eigenvector maps (AEM) and dendritic distances

Strengths

• Data spans two distinct sampling campaigns across six sites, providing temporal and spatial context
• Includes derived data products like ordination scores and spatial eigenvectors for immediate statistical use
• Companion scripts for data processing and analysis are included, supporting reproducibility

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment for large-scale modeling

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Field sampling using trawl nets and Surber samplers, with land use data sourced from the MapBiomas project

Time Range

2018–2019

Freshness

Last updated 2026-04-25 04:11:26; freshness should be verified

Geography

A semi-arid non-perennial river in northeastern Brazil