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1,111 results for “nanoparticles”

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zenodo40/100

Shedding Light on Metal-Based Nanoparticles in Zebrafish by Computed Tomography with Micrometer Resolution

<p>Supplementary 3D image stacks of microtomography data.</p> <p>100 layer xy, xz, and yz image stacks</p> <p>Publication included as PDF file (open access, DOI: 10.1002/smll.202000746)</p> <p>********************************************</p> <p>Metal-based nanoparticles are clinically used for diagnostic and therapeutic<br> applications. After parenteral administration, they will distribute throughout<br> different organs. Quantification of their distribution within tissues in the 3D<br> space, however, remains a challenge owing to the small particle diameter.<br> In this study, synchrotron radiation-based hard X-ray tomography (SR&mu;CT)<br> in absorption and phase contrast modes is evaluated for the localization of<br> superparamagnetic iron oxide nanoparticles (SPIONs) in soft tissues based<br> on their electron density and X-ray attenuation. Biodistribution of SPIONs<br> is studied using zebrafish embryos as a vertebrate screening model. This<br> label-free approach gives rise to an isotropic, 3D, direct space visualization<br> of the entire 2.5 mm-long animal with a spatial resolution of around 2<br> &mu;m. High resolution image stacks are available on a dedicated internet<br> page (http://zebrafish.pharma-te.ch). X-ray tomography is combined with<br> physico-chemical characterization and cellular uptake studies to confirm the<br> safety and effectiveness of protective SPION coatings. It is demonstrated<br> that SR&mu;CT provides unprecedented insights into the zebrafish embryo<br> anatomy and tissue distribution of label-free metal oxide nanoparticles.</p>

opencc-by-4.0Jun 2020View details →
zenodo40/100

Iron Nitride Nanoparticles for Rapid Dechlorination of Mixed Chlorinated Ethene Contamination: DFT Calculations

<p>This dataset contains input and output files of density functional theory calculations on which the computational part of the peer-reviewed article &quot;Iron nitride nanoparticles for rapid dechlorination of mixed chlorinated ethene contamination&quot; by M. Brumovsk&yacute; et al., doi 10.1016/j.jhazmat.2022.129988, is based. Please cite this article when using the dataset.</p> <p>The dataset includes:<br> *&nbsp; Structures and energies of adsorbed cis-DCE and PCE molecules on the Fe(110), Fe4N(001), and FeS(001) surfaces in the folder &quot;Adsorption_calculations&quot;, including structures and energies of adsorbed TCE on the FeS(001) surface<br> *&nbsp; cis-DCE and PCE homolytic bond dissociation energies calculated using VASP and TURBOMOLE in the folder &quot;BDE_calculations&quot;<br> *&nbsp; Relaxed structures of dechlorinated intermediates on the Fe(110), Fe4N(001), and FeS(001) surfaces in the folder &quot;Intermediates&quot;<br> *&nbsp; Transition state calculations of chloroethene dechlorination reactions, including frequency calculations of transitions states, in the folder &quot;NEB_calculations&quot;<br> *&nbsp; Energies of reactants, products, and transitions states calculated with the inclusion of the solvent effect in the folder &quot;VASPsol_calculations&quot;</p> <p>The final geometries and energies calculated using VASP are reported in the CONTCAR and OUTCAR files, respectively. Note that the POTCAR files are not allowed to be made publicly accessible. However, their description is given in the OUTCAR files. Please consult VASP/TURBOMOLE manual for more information regarding input and output files.</p> <p>The fully relaxed unit cells of Fe, Fe4N, and FeS, as well as adsorption calculations of TCE, and transition state calculations of TCE chemisorption and its first dechlorination step on the Fe4N(001) surface are accessible in a previously published dataset, doi 10.5281/zenodo.6338412.</p> <p>Funding: This work was supported by the Austrian Science Fund (FWF) project M 2892-N. The Vienna Scientific Cluster (Project No. 70544) is gratefully acknowledged for providing computational resources.</p> <p>Terms of use: These data are provided &quot;as is&quot;, without any warranty. The data are provided under the Creative Commons Attribution 4.0 International license.</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

X-ray scattering Datasets of gold and silver nanoparticle composites, relating to the publication "Gold and silver dichroic nanocomposite in the quest for 3D printing the Lycurgus cup"

<p>Wide-range X-ray scattering datasets and analyses&nbsp;for all samples described in the 2020 publication &quot;Gold and silver dichroic nanocomposite in the quest for 3D printing the Lycurgus cup&quot;. These datasets are composed by combining multiple small-angle x-ray scattering and wide-angle x-ray scattering curves into a single dataset. They have been analyzed using McSAS to extract polydispersities and volume fractions. They have been collected using the MOUSE project (instrument and methodology).&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

NFFA-Europe|Pilot proporsal "NANO meets ASTRO: simulating the formation of silicon oxide nanoparticles in the atmosphere of dying stars" (PID: 140).

<p>XPS, IRRAS, QMS and OES data of the nanoparticles synthesized within the&nbsp;NFFA-Europe|Pilot proporsal &quot;NANO meets ASTRO: simulating the formation of silicon oxide nanoparticles in the atmosphere of dying stars&quot; (PID: 140).</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

FDTD simulation of 290 nm PAAO with gold nanoparticles: varying incidence angle, s-polarization, n=1

<p>Version 2 has the same files as version 1 and some additional files.</p> <p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 290 nm thickness (<em>h</em>) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm&nbsp;distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 60 nm diameter (<em>RNP</em>) gold (Johnson and Christy) nanoparticles placed directly above each pore.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 &micro;m above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above the nanoparticles; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; varying (20&deg; - 70&deg; in steps of 5&deg;) angle of incidence (<em>ang</em>); 300 nm &ndash; 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 &micro;m above PAAO; results are in &quot;<em>_reflection.txt</em>&quot; files.</p> <p>Information in the file name: <em>h</em> - thickness of PAAO; <em>pol</em> - polarization; <em>RNP</em> - diameter of gold nanoparticles; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) &quot;<em>_reflection.txt</em>&quot; - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) &quot;<em>_p0.log</em>&quot; - log file produced by the software while running the simulation. (3) &quot;<em>.fsp</em>&quot; - Lumerical software file containing the simulation project (license required to open these files). Consecutive numbering corresponds to the angles of incidence: 1 - 20&deg;, 2 - 25&deg;, 3 - 30&deg;, 4 - 35&deg;, 5 - 40&deg;, 6 - 45&deg;, 7 - 50&deg;, 8 - 55&deg;, 9 - 60&deg;, 10 - 65&deg;, 11 - 70&deg;. (4) &quot;<em>Lumerical_Screenshots.pdf</em>&quot; - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) &quot;<em>Structure_Illustration.png</em>&quot; - a schematic of modeled structure. (6) &quot;290nm-Spol_varying-angle<em>.jpg</em>&quot; - a preview of data from &quot;<em>_reflection.txt</em>&quot; files.</p>

opencc-by-4.0May 2022View details →
zenodo40/100

FDTD simulation of 290 nm PAAO with gold nanoparticles: varying refractive index of surrounding medium, s-polarization

<p>Version 2 has the same files as version 1 and some additional files.</p> <p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 290 nm thickness (<em>h</em>) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm&nbsp;distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 60 nm diameter (<em>RNP</em>) gold (Johnson and Christy) nanoparticles placed directly above each pore.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 &micro;m above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above the nanoparticles; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; 45&deg; angle of incidence (<em>ang</em>); 300 nm &ndash; 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 &micro;m above PAAO; results are in &quot;<em>_reflection.txt</em>&quot; files.</p> <p>Information in the file name: <em>h</em> - thickness of PAAO; <em>pol</em> - polarization; <em>RNP/AuRNP</em> - diameter of gold nanoparticles; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) &quot;<em>_reflection.txt</em>&quot; - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) &quot;<em>_p0.log</em>&quot; - log file produced by the software while running the simulation. (3) &quot;<em>.fsp</em>&quot; - Lumerical software file containing the simulation project; it can be used to extract data from Y- and X-normal monitors (license required to open these files). (4) &quot;<em>Lumerical_Screenshots.pdf</em>&quot; - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) &quot;<em>Structure_Illustration.png</em>&quot; - a schematic of modeled structure. (6) &quot;<em>h290,varN.jpg</em>&quot; - a preview of data from &quot;<em>_reflection.txt</em>&quot; files.</p>

opencc-by-4.0May 2022View details →
zenodo40/100

FDTD simulation of PAAO with gold nanoparticles: varying thickness, s-polarization

<p>Version 2 has the same files as version 1 and some additional files.</p> <p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 230/260/290/320/350/500 nm thickness (<em>h</em>) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm&nbsp;distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 60 nm diameter (<em>RNP</em>) gold (Johnson and Christy) nanoparticles placed directly above each pore.</p> <p>Refractive index of the surrounding medium: 1.0.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 &micro;m above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above the nanoparticles; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; 45&deg; angle of incidence (<em>ang</em>); 300 nm &ndash; 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 &micro;m above PAAO; results are in &quot;<em>_reflection.txt</em>&quot; files.</p> <p>Information in the file name: <em>h</em> - thickness of PAAO; <em>pol</em> - polarization; <em>RNP</em> - diameter of gold nanoparticles; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium (if there is no <em>n</em> in the file name, then <em>n</em> = 1.0).</p> <p>Files: (1) &quot;<em>_reflection.txt</em>&quot; - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) &quot;<em>_p0.log</em>&quot; - log file produced by the software while running the simulation. (3) &quot;<em>.fsp</em>&quot; - Lumerical software file containing the simulation project. (4) &quot;<em>Lumerical_Screenshots.pdf</em>&quot; - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) &quot;<em>Structure_Illustration.png</em>&quot; - a schematic of modeled structure. (6) &quot;<em>diff_PAAO_thickness_Spol.jpg</em>&quot; - a preview of data from &quot;<em>_reflection.txt</em>&quot; files.</p>

opencc-by-4.0May 2022View details →
zenodo40/100

Composite of graphene and silver nanoparticles obtained by low-dose gamma irradiation

<p>Content:</p> <p>TEM.zip - TEM images of composites, file type .tif and .dm3</p> <p>VINCA_FTIR.zip - FTIR data of graphene oxide and exfoliated graphene, file type .csv</p> <p>VINCA_UV-Vis.zip - FTIR data of graphene oxide and exfoliated graphene composites, file type .csv</p> <p>IEMN_VNA_Graphene-AgNP - EMI shielding measurement of graphene oxide and exfoliated graphene composites, file type .xlsx</p> <p>VINCA_CA_graphene-AgNP.jpg - contact angle measurement of graphene oxide and exfoliated graphene composites</p> <p>VINCA_532nmLASER.zip - temperature elevation measurements of graphene oxide and exfoliated graphene composites, file type .csv</p> <p>FTPO_TGA_Graphene-AgNP.zip - TGA data of graphene oxide and exfoliated graphene composites, file type .txt</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Fig. 3 in Tannic acid-modified silver nanoparticles enhance the anti-ACanthamoeba activity of three multipurpose contact lens solutions without increasing their cytotoxicity

Fig. 3 Anti-Acanthamoeba activity of AgTANPs conjugated with ReNu MultiPlus contact lens solution after 6 h of incubation in relation to cytotoxicity

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 5 a–d Acanthamoeba trophozoites after 6 h in Tannic acid-modified silver nanoparticles enhance the anti-ACanthamoeba activity of three multipurpose contact lens solutions without increasing their cytotoxicity

Fig. 5 a–d Acanthamoeba trophozoites after 6 h of incubation. a Control culture in PYG medium. b Incubation with AgTANPs. c Incubation with SCA. d Incubation with AgTANPs conjugated with SCA.The arrow shows a rounded form. All images (× 40) represent the population of treated amoebae and were taken under a live cell imaging microscope (EVOS FLoid Cell Imaging Station). For abbreviations, see Figs. 1 and 2

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 2 in Tannic acid-modified silver nanoparticles enhance the anti-ACanthamoeba activity of three multipurpose contact lens solutions without increasing their cytotoxicity

Fig. 2 Anti-Acanthamoeba activity of AgTANPs conjugated with Solo Care Aqua (SCA) contact lens solution after 6 h of incubation in relation to cytotoxicity

opencc-by-4.0Dec 2020View details →
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Fig. 4 in Tannic acid-modified silver nanoparticles enhance the anti-ACanthamoeba activity of three multipurpose contact lens solutions without increasing their cytotoxicity

Fig. 4 Anti-Acanthamoeba activity of AgTANPs conjugated with Opti-Free contact lens solution after 6 h of incubation in relation to cytotoxicity

opencc-by-4.0Dec 2020View details →
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Fig. 1 in Tannic acid-modified silver nanoparticles enhance the anti-ACanthamoeba activity of three multipurpose contact lens solutions without increasing their cytotoxicity

Fig. 1 High-resolution scanning transmission electron microscopy image of the distribution and diameters of the tannic acid-modified silver nanoparticles (AgTANPs)

opencc-by-4.0Dec 2020View details →
zenodo40/100

Figure 4 in Synthesis of silver nanoparticles using Lactobacillus bulgaricus and assessment of their antibacterial potential

Figure 4. Absorption spectrum of AgNPs synthesized by Lactobacillus bulgaricus having clear peak at 410 nm.

opencc-by-4.0Jul 2020View details →
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Figure 2 in Synthesis of silver nanoparticles using Lactobacillus bulgaricus and assessment of their antibacterial potential

Figure 2. Lactobacillus bulgaricus synthesis of Ag-NPs: (a) AgNO3 (control); (b) Reaction mixture before synthesis; (c) Reaction mixture after synthesis.

opencc-by-4.0Jul 2020View details →
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Figure 1 in Synthesis of silver nanoparticles using Lactobacillus bulgaricus and assessment of their antibacterial potential

Figure 1. Morphological and microscopic properties of Lactobacillus bulgaricus. (a) Lactobacillus stained with gram stain under light microscope (X100); (b) Lactobacillus on MRS agar medium, 37 °C, 48 h.

opencc-by-4.0Jul 2020View details →
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Figure 7 in Synthesis of silver nanoparticles using Lactobacillus bulgaricus and assessment of their antibacterial potential

Figure 7. Antibacterial effect of Ag-NPs and antibiotics against (a) Staphylococcus epidermis (b) Salmonella (c) Staphylococcus aureus.

opencc-by-4.0Jul 2020View details →
zenodo40/100

Figure 5 in Synthesis of silver nanoparticles using Lactobacillus bulgaricus and assessment of their antibacterial potential

Figure 5. SEM of silver nanoparticles synthesized by Lactobacillus bulgaricus. The shape of AgNPs was spherical and size between (30- 100 nm), magnification (16053×, 17876×, 15568×, and 9742 ×), the voltage (5 kV) and spot size 4 for (a), (b), (c) and (d) respectively.

opencc-by-4.0Jul 2020View details →
zenodo40/100

Figure 5 in Silver nanoparticles as a potential nematicide against Meloidogyne graminicola

Figure 5: (A) Scanning electron microscope (SEM) micrographs of rice roots without silver nanoparticles (AgNP) treatment, (B) energy-dispersive X-ray spectroscopic elemental analysis of rice roots without AgNP, (C) SEM micrographs of rice roots with AgNP, and (D) energydispersive X-ray spectroscopic elemental analysis of rice roots with AgNP.

opencc-by-4.0Mar 2020View details →
zenodo40/100

Figure 4 in Silver nanoparticles as a potential nematicide against Meloidogyne graminicola

Figure 4: (A) Rice seedlings grown in soilless medium, (B) root mats of different treatments showing galls, and (C-F) magnified view of root mats showing galls.

opencc-by-4.0Mar 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record