ERM is added to the original dataset. Human safety - exposure dataset captures occupational exposure data from Near-Field (NF), Far-Field (FF), and inside spray coating machinery monitoring campaigns, providing insights into aerosol generation during NEP coating process. Measurements were obtained using Scanning Mobility Particle Sizer (SMPS) and Optical Particle Counter (OPC) to assess processing conditions and aerosol behaviour in industrial settings. Key aerosol-related parameters include particle number concentration in NF as an indicator of worker exposure, with SDs. Background conditions were assessed across various operational states, including when the spray process was inactive, ventilation running, and oven in operation. Particle size information of the process emissions in NF provides insight into the dynamic behaviour of aerosol particles indoors and in the human lungs. NM mass concentrations were measured in NF, inside the spray coating, and FF using Teflon filters, with Ti concentrations analysed by ICP-MS. Values were normalized by air volume (m³) to calculate NM mass concentrations (µg/m³), with SDs reflecting variability. The metadata folder contains extensive raw data, structured across three monitoring campaigns, with both on-line and off-line measurements in time-series formats. It includes NANEOS and OPC data, along with detailed records of additional parameters, offering a comprehensive source for exposure analysis. A detailed descriptor breakdown in Table S9. It is important to note that some metadata files contain additional data from monitoring campaigns; however, the necessary information to include the key descriptors that define each experiment was not available. As a result, these data could not be integrated into the Descriptors tab, where all results were systematically merged. This limitation affects the ability to directly link certain metadata records to the structured dataset but does not compromise the availability of raw exposure data.

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 captures the surface chemical characterization of NEPs. XPS is used to analyze surface composition, detecting elemental presence and chemical states. The element name, binding energy, R.S.F, FWHM of XPS peaks are recorded providing insights into chemical uniformity and % atomic concentration of the distribution of elements on the sample surface.

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.

The dataset captures media-dependent physicochemical properties and biological responses in in vitro lung models. Hydrodynamic diameter and PDI are measured via DLS at t₀ (immediately after preparation) and t₂₄ (24 hours later), with SD values reported. Exposure conditions include concentration (expressed as µg/mL), and time of exposure (h). Biological features include cell line, cell type, cell origin, and well format (e.g., 96-well plate). Cell viability is evaluated using Alamar Blue assays along with inflammation-ROS quantification, and genotoxicity (γH2AX).

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)

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).