5 datasets found
  1. g

    ASINA Dataset: LC3_ε_Bioaccumulation

    • nanocommons.github.io
    Updated Jul 31, 2025
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    ASINA (2025). ASINA Dataset: LC3_ε_Bioaccumulation [Dataset]. http://doi.org/10.5281/zenodo.16643573
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    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    ASINA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The environmental ε_Bioaccumulation.xlsx dataset provides bioaccumulation Ti uptake in biological organisms, following OECD 317 protocol. Enchytraeus crypticus were exposed to TiO₂ in soil for 14 days to monitor uptake rates (by mass), followed by a 14-day transfer to clean soil to assess elimination. The nominal exposure concentration (mg/kg) represents the intended TiO2 NM dose administered in the soil. The dataset captures sampling phase, and time points post-exposure, supporting toxicokinetic analysis. The data differentiates between pooled vs. individual samples by indicated the number of organisms included in the sample, and includes biomass measurements (wet and dry weight at each sampling time point).

  2. g

    ASINA Dataset: LC1_σ_lung

    • nanocommons.github.io
    Updated Jul 31, 2025
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    ASINA (2025). ASINA Dataset: LC1_σ_lung [Dataset]. http://doi.org/10.5281/zenodo.16639865
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    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    ASINA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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).

  3. ASINA Dataset: LC1_pchem (UNILI)

    • zenodo.org
    • nanocommons.github.io
    bin
    Updated Sep 23, 2025
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    Zenodo (2025). ASINA Dataset: LC1_pchem (UNILI) [Dataset]. http://doi.org/10.5281/zenodo.16638986
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    binAvailable download formats
    Dataset updated
    Sep 23, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  4. g

    ASINA Dataset: LC1_σ_dermal

    • nanocommons.github.io
    Updated Jul 31, 2025
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    ASINA (2025). ASINA Dataset: LC1_σ_dermal [Dataset]. http://doi.org/10.5281/zenodo.16639595
    Explore at:
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    ASINA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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)

  5. g

    ASINA Dataset: LC2_Pchem_Lung dissolution

    • nanocommons.github.io
    Updated Jul 31, 2025
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    ASINA (2025). ASINA Dataset: LC2_Pchem_Lung dissolution [Dataset]. http://doi.org/10.5281/zenodo.16640543
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    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    ASINA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The dataset captures the dissolution rate of NMs in simulated lung fluids, specifically in lung lining fluid and phagolysosomal fluid representing NM uptake by alveolar macrophages using in vitro acellular dissolution (ISO/TR 19057; 2017) quantifying ionic concentrations in soluble fractions. The dataset includes NM preparation, dispersion, physicochemical characterization, and dissolution behaviour. DLS measurements at t₀ assess hydrodynamic diameter, with size distribution detailed through intensity peaks (1, 2, 3) and PDI, alongside derived count rate and mean count rate for light scattering intensity, all with SDs. Surface charge is characterized through ζ-potential and corresponding pH. The dataset also documents static dissolution media and exposure conditions. Dissolution behaviour is analysed at several time points by obtaining the soluble fractions via ultrafiltration, and using ICP-MS for measuring initial element concentration and ionic concentration after dissolution to calculate the percentage of dissolved material, providing insights into NM solubility and bioavailability. Notably, this dataset was prepared using a GRACIOUS template, which differs. All metadata including protocols and instrumentation are consolidated within a single tab rather than separated across multiple sheets. Finally, in a small number of cases, missing values for physicochemical parameters were estimated by interpolation based on known exposure doses and dissolution media. These interpolated values are clearly marked in red for transparency

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ASINA (2025). ASINA Dataset: LC3_ε_Bioaccumulation [Dataset]. http://doi.org/10.5281/zenodo.16643573

ASINA Dataset: LC3_ε_Bioaccumulation

Explore at:
Dataset updated
Jul 31, 2025
Dataset authored and provided by
ASINA
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The environmental ε_Bioaccumulation.xlsx dataset provides bioaccumulation Ti uptake in biological organisms, following OECD 317 protocol. Enchytraeus crypticus were exposed to TiO₂ in soil for 14 days to monitor uptake rates (by mass), followed by a 14-day transfer to clean soil to assess elimination. The nominal exposure concentration (mg/kg) represents the intended TiO2 NM dose administered in the soil. The dataset captures sampling phase, and time points post-exposure, supporting toxicokinetic analysis. The data differentiates between pooled vs. individual samples by indicated the number of organisms included in the sample, and includes biomass measurements (wet and dry weight at each sampling time point).

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