Global Acid Mine Drainage Microbial Abundance and Environmental Data
by xinxin wang·Updated 2mo ago
18.2 MB14files
Available on 2 platforms
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Description
800 acid mine drainage-related samples, including water, tailings, sediment, and biofilm, were compiled from global sites over the past two decades. The dataset contains 16S rRNA sequencing data on Acidithiobacillus abundance and corresponding physicochemical parameters for each sampling site. It supports analysis of environmental drivers, such as CO2 and heavy metals, on microbial distribution in mining-impacted ecosystems.
Use Cases
Modeling Acidithiobacillus abundance based on physicochemical parameters like CO2 and heavy metals.
Analyzing global distribution patterns of acidophilic bacteria across different sample matrices (water, sediment, biofilm).
Investigating temporal trends in microbial metal mobilization across two decades of sampling.
Correlating environmental site data with 16S rRNA sequencing results from acid mine drainage samples.
Strengths
Contains data from 800 globally sourced samples with detailed breakdown by matrix type (220 water, 195 tailings, 280 sediment, 105 biofilm).
Includes corresponding physicochemical parameters for each site, extracted directly from literature.
Covers a temporal dimension of approximately two decades, allowing for time-series analysis.
Limitations
Column names and exact data structure are not provided in the available metadata.
The exact row count is not specified, and the dataset size is only given in bytes.
Relies on data digitized from figures in literature, which may introduce measurement error.
Provenance
Source
Compiled by author xinxin wang from global sampling and literature extraction.
Collection Method
Samples compiled from global sites; physicochemical parameters extracted from literature tables or digitized from figures using GetData software.
Time Range
Samples collected over the past two decades (specific start year not provided).
Freshness
Last updated on 2026-04-09.
Geography
Global coverage, with samples from at least 33 water sites, 12 tailings sites, 29 sediment sites, and 8 biofilm sites.
Data is provided in DOCX and XLSX formats. License is CC-BY-4.0.