The dataset provides morphological, crystallographic, and surface chemistry data. Morphology is assessed via Transmission Electron Microscopy (TEM), with particle size distribution measured at multiple magnifications (50kX, 100kX, 400kX), including average sizes and SDs. Specific surface area and band gaps are also reported. Crystallographic properties are characterized using X-ray Diffraction (XRD) capturing crystallinity percentage, amorphous phase content, average crystallite size, and specific crystal structures. Surface chemistry is analyzed via X-ray Photoelectron Spectroscopy (XPS), providing elemental composition, binding energies for electron transitions, and % atomic concentration.

The dataset contains modeling data spanning from measurements in the NF, with raw software outputs included in the metadata. It provides aerosol characteristics for respiratory tract deposition, such as functional residual capacity and upper respiratory tract volume, where initial deposition occurs. The dataset details particle density, aerodynamic diameter, and particle concentration, all of which influence exposure levels and particle deposition in the respiratory tract during breathing. The dataset has mass deposition rates and deposition fractions across different respiratory regions, and overall deposition fractions, normalized by surface area

The dataset provides toxicity testing in intestinal cell models and includes exposure conditions, and cellular responses such as cell viability (WST-1), ROS quantification (DHR123), and genotoxicity (53BP1).

The dataset captures exposure conditions and cellular responses, of NM-induced cytotoxicity (WST-1), ROS quantification (DHR123, CellROX) and genotoxicity (53BP1, micronucleus chromosomal damage in binucleated cells using High-Content Analysis). It includes NM solution treatment (e.g., sonication), culture medium (e.g., DMEM), exposure concentration, and duration (h)

Dermal exposure assessment dataset focuses on NM deposition and release under simulated use conditions. Laboratory tests were conducted to quantify dermal exposure (release rates) using the Crockmeter (EN ISO 105 X12:2016 – Part X12), simulating dermal contact abrasion and measuring Ti release (ng/cm²) for both unwashed and washed samples. The dataset quantifies Ti release and retention after durability testing. The missing values are not actual data gaps but result from the dataset structure, where the last columns separately record cotton concentration from released particles and remaining Ti in the textile considering different sample dimension and number of fabric pieces processed. The apparent similarity in missing data arises because identical experiments are represented, but with different output variables recorded independently.

The dataset focuses on hydrodynamics and surface charge properties. It includes the initial stock concentration (weight-based) and the diluted working concentration. Hydrodynamic diameter and PDI are measured using DLS in suspension, with SDs reported. Surface charge properties are assessed through ζ-potential measurements in water, recorded alongside SDs and pH values, using ELS. The isoelectric point is reported, indicating the pH at which NMs exhibit zero net surface charge. This dataset is complete, with no missing values.

The dataset builds on monitoring data including size distribution data such as differential number concentration (dN/dLog10(Dpi)), which tracks particle concentration per logarithmic size interval, and differential mass concentration (dm/dLog10(Dpi)). Emission rate determined through a mass flow model from referenced equations and modelled concentrations reflect simulated NM levels based on process parameters and environmental conditions, while simulated exposure levels estimate NM dispersion under various operational conditions based on reasonable worst-case scenarios. Finally, the Burden of Disease (BoD) concept was developed by using FF air emission data to model emission factors and rates (Koivisto et al. 2022, Koivisto et al. 2022a). To estimate population inhalation exposure and BoD, a multi-tier air emission assessment was developed, integrating monitoring campaigns and a bi-Gaussian plume model (IMPACT - Immission Prognosis Air Concentration Tool). The metadata folder includes the article and its supplementary materials.

Functionality dataset provides photocatalytic activity tests for NEPs, assessing the degradation of Nitrogen Oxide (NO) and nitrogen dioxide (NO₂) gases under visible light, measured via chemiluminescence. Key parameters recorded include irradiance (W/m²), temperature, and sample dimensions. NO degradation is quantified through initial NO concentration (ppbv) and exposure duration (min). TiO₂ deposition on PMMA substrates is quantified using ICP-OES, with measurements including TiO₂ mass (mg/m²), analysed area, PMMA weight (g/m²), sample weight and TiO₂ content per PMMA sample (mg). For textiles the TiO₂ concentration is expressed as mg Ti/g textile and wt%. This metadata includes measurements from 2 different partners, leading to apparent missing values due to differences in reporting metrics rather than actual data gaps

Functionality dataset focuses on TiO₂ deposition quantification on coated substrates. Deposition is quantified using Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES) after acidic microwave digestion, measuring Ti (mg/g substrate) with SD values. The deposited load (g/m²) represents the total NM mass per unit area. Additionally, TiO₂ content (%) on coated textiles is measured, with blank samples included to correct for background TiO₂. In LCS-2, the functionality indicator is the minimum NM deposition required for photocatalytic activity, analysed in LCS-3, minimizing material waste. The dataset’s includes measurements from three different partners, resulting in apparent missing values due to differences in reporting mechanisms rather than actual data gaps. Variations in measurement approaches, such as amount deposited (mg NPs/g textile) and TiO₂ content (%), contribute to these observed discrepancies.