Functional and Structural Analysis of Respiratory Protective Filters Against Exposure to S

A study from the e-cienciaDatos Harvested Dataverse platform, authored by Grima Olmedo, Carlos, and last updated in October 2025. The dataset supports a functional and structural analysis of respiratory protective filters exposed to suspended solid particles. It examines how particle size and electric charge influence retention and evaluates changes in filter porosity and air permeability to predict clogging and service life.

Use Cases

• Predicting filter clogging processes based on changes in porosity described in the study.
• Estimating effective filter service life based on reductions in air permeability after dust exposure.
• Modeling particle retention efficiency based on particle size and electric charge parameters.
• Informing the selection of respiratory filters tailored to specific dust profiles in working environments.

Strengths

• Focuses on specific, measurable filter properties: porosity and air permeability.
• Analysis considers key influencing factors: particle size and electric charge.
• Dataset is associated with a named author and a specific research organization.
• Metadata includes a precise last update timestamp: 2025-10-14 21:53:45.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• The description does not specify the license, data format, or sample data availability.

Provenance

Source

e-cienciaDatos Harvested Dataverse

Collection Method

Likely contains experimental or simulation data from a functional and structural analysis project.

Time Range

The study's temporal coverage is not specified in the provided metadata.

Freshness

Last updated 2025-10-14 21:53:45; freshness should be verified.

Geography

The geographic scope of the study is not specified in the provided metadata.