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3,648 results for “induction”
Data and code for figures: Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications
<p>This directory contains the datasets, code (if applicable) for measurement libraries, data processing and figure generation for the research article "Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications", Beilstein J. Nanotechnol. 2024, 15, 242-255.</p>
Dataset of "Hysteresis in memristors produces a conduction inductance and a conduction capacitance effects"
<p><span>This dataset supports the article published</span><em><span> </span></em>in the Physical Chemistry Chemical Physics:</p> <p>"<span>Hysteresis in memristors produces a conduction inductance and a conduction capacitance effects</span>"</p> <p> </p> <p>Raw data for the article "Physical Chemistry Chemical Physics". For further details see the readme.txt file.</p>
Strain-dependent induction of primary bile acid 7-dehydroxylation by cholic acid.
<p>Raw data files for the publication <em>Strain-dependent induction of primary bile acid 7-dehydroxylation by cholic acid.</em></p>
Dataset for publication "Measuring Harmonics With Inductive Voltage Transformers in Presence of Subharmonics"
<p>This is a dataset for paper published:</p> <p>G. Crotti, G. D’Avanzo, P. S. Letizia and M. Luiso, "Measuring Harmonics With Inductive Voltage Transformers in Presence of Subharmonics," in <em>IEEE Transactions on Instrumentation and Measurement</em>, vol. 70, pp. 1-13, 2021, Art no. 9005013, doi: 10.1109/TIM.2021.3111995.</p> <p> </p> <p>Excel file provides data for Figures from 9 to 16.</p>
Data and code for publication: A simple preparation protocol for shipping and storage of tissue sections for laser ablation-inductively coupled plasma-mass spectrometry imaging
<p>Data & Code release for publication:</p> <p>Rebecca Buchholz, Sebastian Krossa, Maria K Andersen, Michael Holtkamp, Michael Sperling, Uwe Karst, May-Britt Tessem, A simple preparation protocol for shipping and storage of tissue sections for laser ablation-inductively coupled plasma-mass spectrometry imaging, <em>Metallomics</em>, Volume 14, Issue 3, March 2022, mfac013, <a href="https://doi.org/10.1093/mtomcs/mfac013">https://doi.org/10.1093/mtomcs/mfac013</a></p> <p>Python code for LA ICP MS imaging data segmentation</p> <p>Code & Data also on <a href="https://github.com/sekro/la-icp-msi_segmentation">github</a></p> <p>Thresholding based segmentation of LA-ICP-MS imaging data</p> <p>Description</p> <p><a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/src/main.py">src/main.py</a> - run this to process LA ICP MS data in data folder - generates matplotlib.figures - project specific setup <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/src/laicpms_data_handler.py">src/laicpms_data_handler.py</a> - contains object to import, handle and segment (shimadzu) raw data</p> <p>Dependencies</p> <p>Python 3.8.1 or newer</p> <p>For packages see <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/requirements.txt">requirements.txt</a></p> <p>Data</p> <p>LA-ICP-MS imaging data of human prostate tissue of the elements Zn, Fe & P. Details on data generation & collection in <a href="https://doi.org/10.1093/mtomcs/mfac013">publication</a>. LA-ICP-MS imaging data as plain text files (comma-separated values)</p> <ul> <li>Condition 1 = fresh frozen (FF)</li> <li>Condition 2 = room temperature vacuum dried and sealed (RTV)</li> <li>Condition 3 = formalin fixed (FFix)</li> <li>Condition 4 = formalin fixed, paraffin sealed (FFPS)</li> </ul> <p>3 replicate sectioning sets named A, B, C</p> <p>File-naming: LA_Data_CISN1.csv, where I = [1, 2, 3, 4] is indicating the condition used and N = [A, B, C] is indicating the replicate set</p> <p>License</p> <p>Data</p> <p>CC-BY 4.0 - respective <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/data/LICENSE">LICENSE</a> file in data folder</p> <p>Source code</p> <p>MIT - respective <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/src/LICENSE">LICENSE</a> file in src folder</p>
In vitro mutation induction: a database of x-ray and particle irradiation experiments
<p>The database presents a collection of <em>in vitro</em> mutation induction data after photon and particle beam irradiation. The experiments included in the database were all performed by means of the <em>hprt</em> mutation assay. The collection was based on extensive literature search, and contains data published in the time period from 1977 to 2002.</p> <p>As better described in the README file, the database provides information on RBE for cell killing and mutation induction, as well as dose response curves raw data for both endpoints, as digitised (when available) from the original publication.</p> <p>This study is part of a manuscript that was submitted for publication in April 2022.</p>
FOLFOXIRI resistance induction and characterization in human colorectal cancer cells
<p>Supplementary dataset to "FOLFOXIRI resistance induction and characterization in human colorectal cancer cells"</p>
Figure 1: The ECG model-MAPPING BETWEEN SEMANTIC GRAPHS AND SENTENCES IN GRAMMAR INDUCTION SYSTEM
<p>The following Figure 1 shows a sample semantic graph that describes a<br> simple test world.<br> During the processing of the ECG, the base units of the graph are the ECG<br> atoms. An ECG atom corresponds to a primitive statements related to one<br> predicate. It has a structure of one-level deep tree, where the root of the tree<br> is the predicate and the concepts linked to it are the leaves. The child concept<br> of the root predicate may be not only a single concept but it can be another<br> ECG atom.</p>
Results of elemental analyses of brain and liver human tissue samples performed by inductively coupled plasma mass spectrometry
<p>Human tissue samples of brain and liver were obtained after min. 24 h postmortem from the Department of Forensic Medicine, University of Lublin. Tissue samples were collected from typical anatomical locations intended for histopathological examination: A—polus frontalis (frontal pole), B—gyrus precentralis (precentral gyrus), C—gyrus postcentralis (postcentral gyrus), D—cortex cingularis (gyrus cinguli cingulate gyrus), E—hippocampus (hippocampus), F—caput nuclei caudati (head of caudate nucleus), G—fasciculus longitudinalis superior cerebri (superior longitudinal fasciculus of brain, SLF), H—fasciculus longitudinalis inferior cerebri (inferior longitudinal fasciculus of brain, ILF), I—thalamus dorsalis (dorsal thalamus), J—nucleus accumbens septi (nucleus accumbens septi, NAc), K—insula (insula), L—hepar (liver). Samples were taken with the consent of the prosecutor and the Local Bioethics Committee (Medical University of Lublin, Poland, KE-0254/152/2021, approval date 24 June 2021). The study was conducted in accordance with the World Medical Association Code of Ethics, Declaration of Helsinki, for experiments involving human subjects. The samples were mineralized to remove the organic matrix using microwave minerali-zation with nitric acid (69% suprapur HNO3, Baker, Radnor, PA, USA) in the microwave mineralization system Multiwave 5000 (Anton Paar, Graz, Austria). After mineralization step, HCl (Merck, Darmstadt, Germany) was added and diluted by ultrapure water. The elemental analysis was performed using the inductively coupled plasma mass spectrometer Agilent 8900 ICP-MS Triple Quad (Agilent, Santa Clara, CA, USA). </p>
Fig. 2. After 73 in Osmotic induction marking with Alizarin Red S on juveniles of pejerrey, Odontesthes bonariensis (Atherinopsidae)
Fig. 2. After 73 days post-treatment, clear marks were observed for both marking procedures, in otoliths (Figs. 2a, b), scales (Figs. 2c, d) and caudal fin rays (Figs. 2e, f). The intensity of the signal in scales was higher in fish marked with OI+ARS (Fig. 2d). After 385 days, only marks in caudal fin rays were observed in fish treated with OI+ARS (Fig 2g). All control fish structures and, otoliths and scales for 385 days post- immersion showed no marks under fluorescence microscope (Fig. 2h). a, c, e: ARS treatment; b, d, f, g: OI+ARS treatment. Scale bar = 200 µm.
Figure 10 in Experimental induction of resins as a tool to understand variability in ambers
Figure 10. Agathis and Wollemia resin spectra from FTIR-ATR spectroscopy analysed together: (a) principal component analysis showing PC1 vs. PC2 – open symbols indicate Agathis-derived resins, closed symbols indicate Wollemia-derived resins, and the different coloured treatments are the same as in Figs. 8a and 9a; (b) loadings for PC1; (c) cluster analysis.
Figure 4 in Experimental induction of resins as a tool to understand variability in ambers
Figure 4. Variation in tree sizes seen in the Wollemia nobilis clonal plants available and grown together in Göttingen prior to experimentation (tallest tree 2.4 m in height).
Figure 6 in Experimental induction of resins as a tool to understand variability in ambers
Figure 6. Experimental Wollemia nobilis examples: (a–b) branch treatment in which three upper branches were removed to mimic noncatastrophic damage; (c–d) burn treatment in which each tree was burned on one side creating a burn 6 cm in length along the trunk to mimic a wild fire burning at a low level; (a) day 1 of branch treatment with three cuts (arrowheads); (b) final day of branch treatment (same tree as a with small amounts of viscous resin visible at each cut site); (c) day 1 of the burn treatment with no apparent resin exuded; (d) final day of burn treatment with minimal resin exudation (arrowhead).
Figure 7 in Experimental induction of resins as a tool to understand variability in ambers
Figure 7. Mean FTIR-ATR spectra for (a) Agathis and Wollemia; (b) the four effective Agathis treatments, the dashed lines indicating the area of key differences between the mean spectra; (c) the six effective Wollemia treatments plus the control group.
Figure 1 in Experimental induction of resins as a tool to understand variability in ambers
Figure 1. Agathis australis grown in New Zealand: (a) seed-grown 10-year-old Agathis australis trees at Oratia Plant Nursery before the start of the experiment; (b) map of New Zealand (inset) with dashed rectangle indicating area of interest. Enlarged area shows the natural range (in green) of the endemic Agathis australis in New Zealand, based on Steward and Beveridge (2010); site of experiment at Oratia is arrowed.
Figure 5 in Experimental induction of resins as a tool to understand variability in ambers
Figure 5. Experimental Wollemia nobilis examples: (a–b) cutoff treatment in which the trees were cut at 20 cm above soil level to mimic catastrophic damage; (c–d) insect treatment in which holes were drilled into the top 20 % of the trunks to mimic wood-boring insect attack; (a) day 1 of cutoff treatment (aerial view); (b) final day of cutoff treatment with viscous white resin visible; (c) day 1 of the insect treatment with one drilled hole and initial resin exudation visible (arrowhead); (d) final day of insect treatment in which three drill holes have exuded less viscous white resin (arrowheads).
Figure 9 in Experimental induction of resins as a tool to understand variability in ambers
Figure 9. Multivariate analysis of Wollemia resin spectra using FTIR-ATR spectroscopy: (a) principal component analysis showing PC1 vs. PC2 – 3 indicates the three branch samples that came from different heights on the same tree (tree 3), and 1 indicates the four insect samples that came from different heights on the same tree (tree 1); (b) loadings for PC1; (c) cluster analysis.
Figure 8 in Experimental induction of resins as a tool to understand variability in ambers
Figure 8. Multivariate analysis of Agathis resin spectra using FTIR-ATR spectroscopy: (a) principal component analysis showing PC1 vs. PC2; (b) loadings for PC1; (c) cluster analysis.
Figure 2 in Experimental induction of resins as a tool to understand variability in ambers
Figure 2. Experimental Agathis australis examples: (a–b) cutoff treatment in which the trees were cut at 20 cm above soil level to mimic catastrophic damage; (c–d) insect treatment in which holes were drilled into the top 20 % of the trunks to mimic wood-boring insect attack; (a) day 1 of cutoff treatment; (b) final day of cutoff treatment with viscous white resin visible; (c) day 1 of the insect treatment with one drilled hole visible (arrowhead); (d) final day of insect treatment in which two drill holes have exuded less viscous white resin (arrowheads).
The BigGrams: the semi-supervised information extraction system from HTML: an improvement in the wrapper induction - dataset
<p><strong>Brief description</strong></p> <p>The zip file contains two folders. The <strong>"websites"</strong> folder includes crawled web pages from real websites, like a agatameble.pl (an e-shop website), filmweb.pl (a website about films), and ptaki.info (a website about birds). The <strong>"reference-seeds"</strong> folder contains three subfolders, i.e. agatameble.pl, filmweb.pl, and ptaki.info. Each subfolder contains reference-seeds.csv file. The file contains data, i.e. reference instances - carefully labelled ground-truth of corresponding values in each web page of given websites mentioned above.</p> <p><strong>Reference</strong></p> <p>I would appreciate it if you cite the following paper when using the dataset:</p> <p>Marcin Mirończuk The BigGrams: the semi-supervised information extraction system from HTML: an improvement in the wrapper induction, Knowledge and Information Systems, Volume 54, Issue 3, p. 711–776, 2018, (pdf Open Access – http://rdcu.be/u88F lub DOI http://dx.doi.org/10.1007/s10115-017-1097-2)</p>
ScienceDex guides
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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.