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1,111 results for “Nanoparticles”
Research data supporting "Post-polymerisation functionalisation of conjugated polymer backbones and its application in multi-functional emissive nanoparticles"
<p>Research data supporting the publication:</p> <p>Creamer A. et al., "Post-polymerisation functionalisation of conjugated polymer backbones and its application in multi-functional emissive nanoparticles",<em> Nature Communications</em><strong>, 9</strong>:3237 (2018).</p>
Data for: "A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death"
<p>Data related to the publication Murschhauser <em>et al.</em>: <a href="https://doi.org/10.1038/s42003-019-0282-0">A high-throughput microscopy method for single-cell analysis of event-time correlations in nanoparticle-induced cell death</a>. It contains fluorescence time traces of single cells marked with cell-event markers and observed by time-lapse microscopy. The cells were treated with nanoparticles at different doses (NP25 and NP100), with staurosporine (sts) or were left untreated for control (ctrl). See the above-mentioned publication for more details.</p> <p>The format of the data is described below.</p> <p>The file <code>Data_A549.zip</code> contains data measured with A549 cells, and the file <code>Data_Huh7.zip</code> contains data measured with Huh7 cells. Both files have the same structure. Each file contains the directories <code>Raw</code> and <code>Fitted</code> as well as a checksum file. The <code>Raw</code> directory contains single-cell fluorescence time courses as obtained by time-lapse microscopy. The <code>Fitted</code> directory contains the results of fitting model functions as well as properties of identified events, such as event times. The checksum file contains SHA256 checksums of all files within these directories and can be used to check file integrity.</p> <p>Both directories contain measurement directories. Each measurement directory contains the data corresponding to one experiment. The name of the measurement directory is the measurement identifier. Each measurement directory contains condition directories. Each condition directory contains data corresponding to one condition measured in the measurement and is named after the condition. Each condition directory contains marker directories. They are named after the fluorescence markers measured and contain files with single-cell data corresponding to the respective markers.</p> <p>The names of those files consist of multiple parts separated by underscores. The first two parts identify a position of the microscope. Since pairs of markers were measured, each position is present in two marker directories. The third part is the measurement identifier. The other parts will be described below.</p> <p>The <code>Raw</code> directory contains only CSV files with the raw fluorescence time courses. The filenames contain no other parts and have the suffix “.txt”. The first row of each CSV file is the time (in units of 10 minutes), and the other rows are the fluorescence time courses of the cells observed at the corresponding position (in arbitrary units). Each file in the <code>Raw</code> directory corresponds to a group of files in the <code>Fitted</code> directory.</p> <p>The <code>Fitted</code> directory contains three types of CSV files. Their names have “ALL” as fourth part, a session identifier as sixth part and the suffix “.csv”. The fifth part indicates the type of file and is one of the following:</p> <ul> <li>“PARAMS” indicates the estimated values for the model parameters. Each row stands for one cell and each column for a parameter of the model function fitted to the data. The model functions are published with the <a href="https://doi.org/10.5281/zenodo.1418465">fitting software</a>.</li> <li>“SIMULATED” indicates the fitted traces. The traces are calculated using the model functions and the estimated parameters. The format is the same as for the raw traces, but the time is in units of hours and has a higher resolution.</li> <li>“STATE” indicates additional information extracted from the fitted traces. Each row stands for a cell and each column for a property. The first column is the number of the cell. The second column is the event time found (in hours); non-finite values indicate that no event time was found. The third and fourth columns contain the absolute and relative amplitude of the trace, respectively. The fifth column is the logarithmic likelihood of the best fit. The sixth column indicates an algorithm used for postprocessing, and the seventh column indicates the trace slope at the event. See the fitting software for details.</li> </ul> <p> </p>
NanoValid D.5.47 Annex 1: Inter-laboratory comparison on measurand particle size of ~15 nm Lys-SNPs-B1 Silica Nanoparticles Particles
<p>An inter-laboratory comparison on the particle size, expressed as mean diameter <em>d</em>, of nanoscaled SiO<sub>2</sub> (#14 BAM Silica, ~15 nm diameter (see D.5.41/5.42)) has been performed. The majority of participants used Dynamic Light Scattering (DLS). A few used Electron Microscopy as method (SEM, TEM, T-SEM). Following methods had been applied by only one participant: Small Angle X-ray Scattering, Analytical Ultracentrifugation, Atomic Force Microscopy and Atomizer with electric mobility spectrometer (SMPS).</p> <p>The Task 5.4 of NanoValid is designed to test, compare and validate current methods to measure and characterize physicochemical properties of selected engineered nanoparticles. This will be achieved by inter-laboratory comparisons. The measurand of one of these round robins is <em>Particle size/Particle size distribution.</em> The measurements are to be accompanied by estimates of the uncertainties at a confidence level of 95%, deduced from the standard uncertainties. Therefore an uncertainty budget comprising statistical (Type A) and systematic (Type B) errors has to be established and delivered for each measurand. The inter-laboratry comparison protocol comprises two Annexes addressing the establishment of uncertainty budgets following GUM. The final goal of the comparison is to identify those methods of measurement which have potential as reference methods in pc characterization of nanoparticles for the determination of a given measurand (Task 5.4 of the NanoValid Project).</p>
Figure 8 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 8. AST levels in the serum of female rats orally exposed to Al2 O 3, TiO2, and CuO nanoparticles for 14 days. Details are given in Figure 1.
Figure 7 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 7. ALT levels in the serum of female rats orally exposed to Al2 O 3, TiO2, and CuO nanoparticles for 14 days. Details are given in Figure 1.given in Figure 1.
Figure 6 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 6. ALP levels in the serum of female rats orally exposed to Al2 O 3, TiO2, and CuO nanoparticles for 14 days. Details are given in Figure 1.
Figure 5 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 5. Total antioxidant levels in the serum of female rats orally exposed to Al2 O 3, TiO2, and CuO nanoparticles for 14 days. Details are given in Figure 1.
Figure 4 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 4. Total oxidant levels in the serum of female rats orally exposed to Al O, TiO, and CuO nanoparticles for 14 days. 2 3 2 Details are given in Figure 1.
Figure 3 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 3. The activity of Ca-ATPase in the erythrocytes of female rats orally exposed to Al O, TiO, and CuO nanoparticles for 14 2 3 2 days. Details are given in Figure 1.
Figure 1 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 1. The activity of Na,K-ATPase in the erythrocytes of female rats orally exposed to Al 2 O 3, TiO 2, and CuO nanoparticles for 14 days. Each point shows the mean of 6 rats and the standard errors. Statistical results and % alterations are given in the Table.
Figure 6 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 6. TEM images of brain tissue sample of fish (O. niloticus) exposed to 1 (A and B), 5 (C and D), and 25 (E and F) mg/L of CuO NPs for 14 days of uptake and 14 days of depuration periods, respectively.
Figure 10 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 10. The mean ATPase activity and associated standard errors in the brain of O. niloticus exposed to Al2 O 3 (a), CuO (b), and TiO2 NPs for 14 days (n = 6). See Figure 8 for detail.
Figure 5 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 5. TEM images of brain tissue sample of fish (O. niloticus) exposed to 1 (A and B), 5 (C and D), and 25 (E and F) mg/L of Al2 O 3 NPs for 14 days of uptake and 14 days of depuration periods, respectively.
Figure 1 in The employment of a conformal polydopamine thin layer reduces the cytotoxicity of silver nanoparticles
Figure 1. Characterization of NPs: (a) UV-Vis absorption spectra of NPs, TEM images of PDOP (b and b ), AgNP (c and c ), and AgNP@PDOP NP (d and d ) systems at different 1 2 1 2 1 2 magnifications. Arrows indicate the thickness of the PDOP layer on the AgNPs.
Figure 3 in The employment of a conformal polydopamine thin layer reduces the cytotoxicity of silver nanoparticles
Figure 3. Representative inverted microscopy images of Caco2 cell lines after 24 h of NP exposures at different concentrations.
Figure 9 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 9. The mean Ca-ATPase activity and associated standard errors in the muscle of O. niloticus. See Figure 8 for details.
Figure 3 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 3. TEM images of muscle tissue sample of fish (O. niloticus) exposed to 1 (A and B), 5 (C and D), and 25 (E and F) mg/L of CuO NPs for 14 days of uptake and 14 days of depuration periods, respectively.
Figure 6 in Effects of in vivo exposures to nanoparticles (Al O , CuO, TiO ) on the activities of ATPases in the gill and muscle of freshwater mussel (Unio tigridis)
Figure 6. Effects of NPs on Ca-ATPase activity in the muscle of mussels after 14 days. * indicates significant (p <0.05) differences compared to control.
Figure 4 in Effects of in vivo exposures to nanoparticles (Al O , CuO, TiO ) on the activities of ATPases in the gill and muscle of freshwater mussel (Unio tigridis)
Figure 4. Effects of NPs on Ca-ATPase activity in the gill of mussels after 14 days. * indicates significant (p <0.05) differences compared to control.
Figure 3 in Effects of in vivo exposures to nanoparticles (Al O , CuO, TiO ) on the activities of ATPases in the gill and muscle of freshwater mussel (Unio tigridis)
Figure 3. Effects of NPs on Mg-ATPase activity in the gill of mussels after 14 days. * indicates significant (p <0.05) differences compared to control.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.