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1,111 results for “Ag”
Near-field images and cross-section of guided modes in a laser-inscribed double-tracks waveguide in TZN:Ag glass sample
<p><strong>Raw images were captured</strong> with a Thorlabs beam monitoring camera, while the waveguides were injected at 633 nm.<br> The fours cross-sections were computed from these raw images.<br> These files are new data from the co-authors among those presented in the review publication "Materials 2020, 13, 3846" (DOI: 10.3390/ma13173846.<br> <strong>Extracted, centered and scaled horizontal cross-sections are given in "Fig12-b-c_final.xlsx"</strong></p> <p>Sample name : TZN:Ag.</p> <p> </p>
Data to the journal article "The capping agent is the key: Structural alterations of Ag NPs during CO2 electrolysis probed in a zero-gap gas-flow configuration"
<p>This data set corresponds to the journal article "The capping agent is the key: Structural alterations of Ag NPs during CO2 electrolysis probed in a zero-gap gas-flow configuration"</p>
Raw data for the article "Unwrap Them First: Operando Potential-induced Activation Is Required when Using PVP-Capped Ag Nanocubes as Catalysts of CO₂ Electroreduction"
<p>Raw data for the article "Unwrap Them First: Operando Potential-induced Activation Is Required when Using PVP-Capped Ag Nanocubes as Catalysts of CO₂ Electroreduction'', published in Chimia 2021 75:163, doi: <a href="http://doi.org/10.2533/chimia.2021.163">10.2533/chimia.2021.163</a></p> <p>Folder names describe the type of data content.</p>
Negative Muon Spectroscopy Data for Ag-Al-Au Alloys
<p>Negative muon spectroscopy data for Ag/Al/Au alloys. The data is generated by mixing elemental spectra of each of the species in randomly selected ratios. The underlying physical data was collected at the ISIS Neutron and Muon Source. The data is assocaited with the manuscript 'Enhancing Performance of Multilayer Perceptrons by Knot-Gathering Initialization'.</p>
Raw data for the article "Size-Dependent Structural Alterations in Ag Nanoparticles During CO2 Electrolysis in a Gas-Fed Zero-Gap Electrolyzer"
<p>In the article "Size-Dependent Structural Alterations in Ag Nanoparticles During CO2 Electrolysis in a Gas-Fed Zero-Gap Electrolyzer" we described our investigation on the size-dependent degradation behavior of Ag NPs (10, 40, and 100 nm in size) on GDE during CO<sub>2</sub> electrolysis. Here we present the dataset the work was based on. For each figure in the article and the supporting information we provide a set of raw and unprocessed data.</p>
AGS_apple_detection - Apple fruit images dataset for full image object detection
<p>This dataset correspond to full apple tree images (623) annotated for the task of object detection with its corresponding annotations in yolo format saved as txt files. The dataset was divided into test, train and validation<br><br>The data was collected in 2017 on 4 different apple varieties using a Samsung sm-a510F cell phone at two different resolutions: 2448 x 3264 px and 3096 x 4128 px in the orchards of Agroscope located in Wallis, Switzerland. </p>
Code and data for "KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: A Case Study of Estimating N2O Emission using Data from Mesocosm Experiments "
<p>This is code and data for manuscript: <br> "KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: <br> A Case Study of Estimating N<sub>2</sub>O Emission using Data from Mesocosm Experiments"<br> Licheng Liu, Shaoming Xu, Zhenong Jin*, Jinyun Tang, Kaiyu Guan, Timothy J. Griffis, <br> Matt D. Erickson, Alexander L. Frie, Xiaowei Jia, Taegon Kim, Lee T. Miller, Bin Peng, Shaowei Wu, Yufeng Yang, Wang Zhou, Vipin Kumar</p> <p>All the files belong to Prof. Zhenong Jin, University of Minnesota, UA. jinzn@umn.edu<br> "code" foler includes code for data processing, model training, and results plotting.<br> "trained_model_saved" includes all trained model so you can use to reproduce the results showed in the study;<br> "data" includes all data presented in the study. Finetuning data is refering to Miller, L.T. , Griffis, T. J., Erickson, M. D., Turner, P. A., Deventer, M. J., Chen, Z., Yu, Z., Venterea, R.T., Baker, J. M., and Frie, A. L. (2021). Response of nitrous oxide emissions to future changes in precipitation and individual rain events. Journal of Environmental Quality, In review</p>
AG's news corpus (AGNEWS)
<p>AG’s news corpus (AGNEWS): This AG’s corpus of news articles was collected from the web. The whole corpus contains 496,835 categorized news articles from more than 2000 news sources. Four largest classes (World, Sports, Business and Sci/Tech) from this corpus were chosen to construct the dataset used in the experiments, using only the title and description fields</p> <p>The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_<k>.pkl: pandas DataFrame with k-cross validation partition.</p> <p>The .zip contains all aforementioned files + the tfidf representation in the CSR matrix format.</p>
Field Emission Scanning Electron microscopy from Zr-Cu-Ag metallic glass coatings after antibacterial test with E.Coli
<p>Field Emission Scanning Electron Microscopy Figures from metallic glass (Zr-Cu-Ag) antibacterial coatings. Coatings have the name SP in their file name. The non-coated comparison is PBT. This is after the antibacterial test with <em>E.coli</em> after 24 hours. </p>
small angle x-ray scattering from Zr-Cu-Ag metallic glass coatings
<p>small angle x-ray scattering from Zr-Cu-ag metallic glass coating to confirm whether they became amorphous or not. The coating is on PBT substrate. </p>
Complex k-Uniform Tilings by a Simple Bitopic Precursor Self-Assembled on Ag(001)_experimental dataset
<p>This experimental dataset contains the raw underlying data for the article "Complex k-Uniform Tilings by a Simple Bitopic Precursor Self-Assembled on Ag(001) Surface" by Lukáš Kormoš, Pavel Procházka, Anton O. Makoveev, and Jan Čechal. </p>
ePSproc: Ethylene (C2H4), orb 3 ionization (Ag), wavefn run, 1.0:2.5:100.0
Ethylene (C2H4), orb 3 ionization (Ag), wavefn run, 1.0:2.5:100.0 - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb3_Ag.html">https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb3_Ag.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: Ethylene (C2H4), orb 1 ionization (Ag), wavefn run, 1.0:2.5:100.0
Ethylene (C2H4), orb 1 ionization (Ag), wavefn run, 1.0:2.5:100.0 - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb1_Ag.html">https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb1_Ag.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
Refractive index obtained from thin films of Au-Ag alloys
<p>This is the optical dataset for Au-Ag alloys, obtained in the paper "Optical properties of Au-Ag alloys: An ellipsometric study" [Opt. Mater. Express 4 (2014) 403-410].</p>
AG-PT-set: Acoustic Guitar Playing Technique dataset
<p>This is the Acoustic Guitar Playing Technique dataset (AG-PT-set).<br>It contains <strong>15 hours and 55 minutes</strong> of monophonic recordings of <strong>12</strong> expressive guitar playing techniques (pitched and percussive). <br>Of these, <strong>10 hours and 4 minutes</strong> of recordings encompassing 8 of the 12 techniques have been labeled, meaning that onsets were identified at the millisecond level and their timestamp was saved, alongside playing technique information.<br>As a result, <strong>32,592</strong> individual notes have been labeled.<br>Recordings were performed by <strong>6 players</strong> on <strong>7</strong> different acoustic steel-string <strong>guitars</strong>.</p> <p>The techniques are the following:</p> <ol> <li><strong>Kick technique</strong> (<em>*percussive*</em>): producing a sound that resembles a kick drum by hitting the lower right part of the top of the guitar body;</li> <li><strong>Snare-A technique </strong>(<em>*percussive*</em>): producing a sound by hitting the lower right side of the guitar body;</li> <li><strong>Tom technique</strong> (<em>*percussive*</em>): producing a sound by hitting the area of the guitar body near the top of the end of the fretboard, using the thumb;</li> <li><strong>Snare-B technique</strong> (<em>*percussive*</em>): producing a sound by hitting the muted strings over the end of the fretboard;<br> </li> <li><strong>Natural Harmonics</strong> (pitched): plucking the strings while lightly touching the string with the fretting finger (i.e., not pressing the string fully), therefore letting only some harmonic overtones ring;</li> <li><strong>Palm Mute</strong>: partially muting the strings with the palm of the picking hand, resulting in a muffled sound.</li> <li><strong>Pick Near Bridge</strong> (pitched): plucking the string near the guitar bridge, producing sounds with great high-frequency content;</li> <li><strong>Pick Over the Soundhole</strong> (pitched): plucking the string over the soundhole, producing sounds with lower treble content and greater intensity;</li> <li><strong>Bending technique</strong> (pitched): pulling the strings, raising the pitch (half-tone interval);</li> <li><strong>Hammer-on technique</strong> (pitched): sharply bringing a finger down onto the fingerboard, creating a legato sound (half-tone interval);</li> <li><strong>Staccato</strong> (pitched): playing short notes;</li> <li><strong>Vibrato</strong> (pitched): Moving the fretting finger to warp the pitch and tone of the sound.</li> </ol> <p>Techniques 1 through 8 have been meticulously labeled.</p> <p> </p> <p>This dataset is presented in detail in the following conference paper:</p> <div>D. Stefani, G. A. Giudici, and L. Turchet. 2024. <strong>On the Importance of Temporally Precise Onset Annotations for Real-Time Music Information Retrieval: Findings from the AG-PT-set Dataset</strong>. In Proceedings of the 19th International Audio Mostly Conference: Explorations in Sonic Cultures (AM '24). </div> <p><a href="https://doi.org/10.1145/3678299.3678325">https://doi.org/10.1145/3678299.3678325</a></p>
Şekil 11. Saf kitin ve gümüş nanoparÇacıkları dekore edilmiş kitinin E. coli ATCC 25922 ve S. aureus ATCC 29213'e karşı antibakteriyel aktivitelerinin kuyu difüzyon görüntüleri. K (Kontrol), A (Kitin), C (Gümüş nanoparÇacıklı kitin. in Eustigmaeus absens (Acari: Stigmaeidae) türünden elde edilen kitin ve Ag-dekore edilmiş kitin nanokompozit: İzolasyonu, karakterizasyonu ve antibakteriyel aktivitesi
Şekil 11. Saf kitin ve gümüş nanoparÇacıkları dekore edilmiş kitinin E. coli ATCC 25922 ve S. aureus ATCC 29213'e karşı antibakteriyel aktivitelerinin kuyu difüzyon görüntüleri. K (Kontrol), A (Kitin), C (Gümüş nanoparÇacıklı kitin.
Şekil 4. Gümüş nanoparÇacıkları dekore edilmiş kitinin faz-kontrast donanımlı ışık mikroskobu görüntüleri (a) genel görünüm, (b) gümüş nanoparÇacıkların yakından görünümü. in Eustigmaeus absens (Acari: Stigmaeidae) türünden elde edilen kitin ve Ag-dekore edilmiş kitin nanokompozit: İzolasyonu, karakterizasyonu ve antibakteriyel aktivitesi
Şekil 4. Gümüş nanoparÇacıkları dekore edilmiş kitinin faz-kontrast donanımlı ışık mikroskobu görüntüleri (a) genel görünüm, (b) gümüş nanoparÇacıkların yakından görünümü.
Şekil 6. Eustigmaeus absens kitininin SEM görüntüsü: (a) kitinin genel görüntüsü, (b) makro gözenekler, (c) makro gözenekler ve Çevresindeki mikro gözenekler, (d) makro gözeneklerin yakından görünümü. in Eustigmaeus absens (Acari: Stigmaeidae) türünden elde edilen kitin ve Ag-dekore edilmiş kitin nanokompozit: İzolasyonu, karakterizasyonu ve antibakteriyel aktivitesi
Şekil 6. Eustigmaeus absens kitininin SEM görüntüsü: (a) kitinin genel görüntüsü, (b) makro gözenekler, (c) makro gözenekler ve Çevresindeki mikro gözenekler, (d) makro gözeneklerin yakından görünümü.
Research Data for Comparative Evaluation of RT-PCR and Antigen-based Rapid Diagnostic Tests (Ag-RDTs) for SARS-CoV-2 Detection: Performance, Variant Specificity, and Clinical Implications
<p>This dataset represents laboratory findings for the comparative evaluation of the diagnostic performance of Ag-RDTs (Flourescence Immunoassay and Lateral Flow Immunoassay) with RT-PCR</p>
Microbiota study Juvenile Idiopathic Arthritis AG Chang
<p>We have investigated a juvenile idiopathic arthritis (JIA) cohort and paediatric healthy controls (pHC) by our multi-parameter microbiota flow cytometry approach to characterise the microbiota on single-cell level for attributes of the disease. The microbiota is isolated from stool samples and stained according to the published protocol for (a) host immunoglobulins IgA1, IgA2, IgM, IgG and (b) agglutinin binding to mannose, galactose or N-Acetyl-glucosamine surface sugar moieties. For all samples we also determined the microbiome composition by 16S rRNA (V3-V4) sequencing on the illumina MiSeq platform. We provide the raw .fcs and FASTQ files of 54 JIA patients and 38 paediatric controls. For comparison towards disease progression, we additionally analysed 16 rheumatoid arthritis (RA) patients and 18 adult healthy donors (aHC).</p> <p>All .fcs files were generated on <span>BD Influx®.</span></p> <p> </p> <p>The metadata is collected in the provided meta_JIA.csv.</p> <p><span>The staining parameters are summarized in provided panel.csv. </span></p>
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International Brain Laboratory public data
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OpenNeuro
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