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1,713 results for “Preparation”

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zenodo40/100

The recompiled circuit V from the preparation of the AKLT state

<p>This is the json file used for the recompiled optimized circuit&nbsp;<span class="math-tex">\(\hat{V}\)</span>from the paper &#39;High-fidelity realization of the AKLT state on a NISQ-era quantum processor&#39; (arXiv link: https://arxiv.org/pdf/2210.13840.pdf). See Fig. 3. For the CNOT gate, the first and second index represents the conventions of the&nbsp;CNOT gate where the first index is for the controlled qubit. For the U3 gate, it follows the Qiskit convention where&nbsp;<span class="math-tex">\(U3(\theta, \phi, \lambda) = U(\theta, \phi, \lambda)\)</span>: the first three numbers are for the parameters of the U3 gate, and the last one is for the qubit index.</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Thermal evaporation as sample preparation for silver‐assisted laser desorption/ionization mass spectrometry imaging of cholesterol in amyloid tissues

<p><strong>Thermal evaporation as sample preparation </strong><strong>for </strong><strong>silver‐assisted laser desorption/ionization mass spectrometry imaging of cholesterol in amyloid tissues</strong></p> <p>MSI datasets in SCiLS Lab SL File (*.sl) or as&nbsp;flexImaging sequence (*.mis)</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

Preparation of thorium dioxide nanofibers by electrospinning_experimental dataset

<p>This file contains the raw unprocessed experimental data for the results published in Kundr&aacute;t et al.,&nbsp;Preparation of thorium dioxide nanofibers by electrospinning,&nbsp;Journal of Nuclear Materials,&nbsp;Volume 534,&nbsp;June 2020, 152153.&nbsp;</p> <p>.&nbsp;</p>

opencc-by-4.0May 2020View details →
zenodo36/100

Nanoparticle Tracking Analysis: A powerful tool for characterizing magnetosome preparations - Supplementary

<p>Nanoparticle Tracking Analysis: A powerful tool for characterizing magnetosome preparations - Supplementary materials</p>

opencc-by-4.0May 2020View details →
dryad36/100

Data from: The preparation and characterization of uniform nanoporous structure on glass

<p>A novel fabrication method of uniform porous structures on the glass surface is proposed. The hydrofluoric acid fog formed by air-jet atomization etches the glass surface to fabricate nanoporous structure (NPS) on glass surface. This NPS shows the enhanced average light transmittance of ~92.9% and the superhydrophilic property with a contact angle less than 1° which presents an excellent anti-fog property. Passivated by fluorosilane, the NPS shows nearly the superhydrophobic property with a contact angle of 141.2°. This fabrication method has shown promising application prospects due to its simplicity, low cost and efficiency, which can be easily applied to large-scale industrial production.</p>

opencc-zeroJul 2020View details →
dryad36/100

Synthesis of a novel amphoteric copolymer and its application as a dispersant for coal water slurry preparation

<p>In this work, a novel amphoteric copolymer was synthesized via free radical polymerization, named Poly(sodium p-styrenesulfonate–co-acrylic acid-co-diallyldimethylammonium chloride) (P(SS-co-AA-co-DMDAAC)). Afterwards, P(SS-co-AA-co-DMDAAC) was explored for use as a dispersant in coal water slurry (CWS) preparation. The structure of P(SS-co-AA-co-DMDAAC) was verified by Fourier transform infrared spectroscopy (FTIR) and Nuclear magnetic resonance (NMR). The synthetic conditions were optimized as the feed ratio of AA to SS was 1:1 (for Yulin coal) or 1.5:1 (for Yili coal), and DMDAAC dosage was 4.0 wt% (for Yulin coal) and 6.0 wt% (for Yili coal) toward total monomers. The performances of P(SS-co-AA-co-DMDAAC) as a dispersant for CWS were evaluated by various technologies, such as apparent viscosity, Zeta potential, static stability and contact angle measurements. The results revealed that the optimized dosage of P(SS-co-AA-co-DMDAAC) in CWS preparation was 0.3 wt% and 0.4 wt% for Yulin coal and Yili coal respectively. In this optimum condition, CWS prepared using P(SS-co-AA-co-DMDAAC) as dispersant showed a typical shear thinning behavior and excellent stability, which are desired in industry. The rheological models also confirmed the pseudo-plastic characteristics of CWS. Finally, as compared to the widespread used anionic dispersant Poly(sodium p-styrenesulfonate) (PSS), P(SS-co-AA-co-DMDAAC) developed in this work exhibited better slurry making performance. Introduction of cationic functional groups promoted the adsorption of dispersant, which further enhanced the electrostatic repulsion among coal particles. Accordingly, the viscosity of CWS decreased and static stability enhanced.</p>

opencc-zeroJan 2021View details →
dryad36/100

The integration of sensory feedback in the modulation of anuran landing preparation

<p class="MsoBodyText">Controlled landing requires preparation. Mammals and bipedal birds vary how they prepare for landing by predicting the timing and magnitude of impact from the integration of visual and non-visual information. Here we explore how an animal that moves primarily through hopping, <i>Rhinella marina</i>, the cane toad, integrates sensory information to modulate landing preparation. Earlier work suggests toads may modulate landing preparation using predictions of impact timing and/or magnitude based on non-visual sensory feedback during takeoff rather than visual cues about the landing itself. Here we disentangled takeoff and landing conditions by hopping toads off platforms of different heights and measured electromyographic (EMG) activity of an elbow extensor, <i>m. anconeus</i>, and used high-speed motion capture to quantify whole body and forelimb kinematics to test how toads integrate visual and non-visual information in landing preparation. We asked two questions: 1) when they conflict, do toads correlate landing preparation with takeoff or landing conditions?  And 2) for hops with the same takeoff conditions, does visual information alter the timing of landing preparation?  We found that takeoff conditions are a better predictor of the onset of landing preparation than landing conditions, but that visual information is not ignored. When hopping off higher platforms, toads start to prepare for landing later when takeoff conditions are invariant. This suggests that, unlike mammals, toads prioritize non-visual sensory feedback about takeoff conditions to coordinate landing, but that they do integrate visual information to fine-tune landing preparation.</p>

opencc-zeroJan 2020View details →
dryad36/100

Facile preparation of high conductive silver electrodes by dip-coating followed by quick sintering

<p>With polyol-synthesized silver nanoparticles (AgNPs) as raw materials, the silver electrodes with high conductivity were fabricated via dip-coating method followed by sintering process, and the effects of dip-coating and sintering process on the conductivity and surface roughness of silver electrodes were investigated in detail. The silver film with a thickness of 1.97 μm and a roughness of about 2 nm can be prepared after dip-coated at a pulling rate of 500 μm·s<sup>-1</sup> for 40 coating times. The non-conductive dip-coated silver films are transformed into conductive silver electrodes after conventional sintering in muffle oven, infrared sintering and microwave sintering, respectively. Compared with high sintering temperature and long sintering time of conventional sintering and infrared sintering, microwave sintering can achieve the quick sintering of silver films to fabricate high conductive silver electrodes. The silver electrodes with a sheet resistance of 0.75 Ω·sq<sup>-1</sup> and a surface roughness of less than 1 nm can be obtained after microwave-sintered at 500 W for 50 s. The adjustable dip-coating method followed by quick microware sintering is an appropriate approach to prepare high conductive AgNPs based electrodes for organic light-emitting diode (OLED) or other devices.</p>

opencc-zeroJan 2020View details →
dryad36/100

Data from: Preparation and structure of SiOCN fibers derived from cyclic silazane/PAA hybrid precursor

Ceramic matrix composite (CMC) materials have been considered a desired solution for lightweight and high temperature applications. Simultaneously, among all different CMC reinforcements, Polymer-Derived Ceramic (PDC) fibers have gained attention for the intrinsic thermal stability and mechanical strength with simple and cost-effective synthesis techniques. Here, carbon-rich silicon oxycarbide (SiOC) fibers were synthesized via hand-drawing and polymer pyrolysis of a hybrid precursor of 1,3,5,7-tetramethyl-1,3,5,7-tetravinyl-cyclotetrasilazane (TTCSZ) and polyacrylic acid (PAA). The type of silazane reported in this work is considered as a major precursor for SiCN, however it is unspinnable, due to its unfavorable physical properties (low viscosity) and chemical structure (cyclic rather than linear structure). The introduction of PAA to TTCSZ to create a hybrid precursor remarkably improved spinnability of the silazane and should be widely applicable to other unspinnable PDC preceramic polymers. Investigations on structural and compositional development of the fibers were mainly conducted via Raman spectroscopy, Fourier-Transform InfraRed spectroscopy (FTIR), Scanning Electron Microscopy (SEM), X-ray Photoelectron Spectroscopy (XPS), Nuclear Magnetic Resonance (NMR) and ThermoGravimetric Analysis (TGA) to determine spinnability, free carbon content, cross-linking and pyrolysis behavior of the fibers, respectively.

opencc-zeroSep 2019View details →
zenodo36/100

Data set of CA1 pyramidal cell models using an intact whole hippocampus preparation

<p>The frequency-current (f-I) profiles of pyramidal cells are presented. Each .abf file contains the&nbsp;f-I curve data for the respective cell (as labelled PYR1, PYR2, PYR3 and PYR4 for Pyramidal cell 1, Pyramidal cell 2, Pyramidal cell 3 and Pyramidal cell 4). &nbsp;That is, they contain the cell&#39;s response to the application of a series of depolarizing current steps of 1 s duration while the cells are held in current clamp, as well as the current clamp data itself. &nbsp;Each recording is 2 s total. &nbsp;Amplitudes of the input were increased incrementally with step sizes of 10 pA for PYR1, PYR3, and PYR4, and a step size of 25 pA for PYR 2.&nbsp;&nbsp;PYR1 first spikes on the 5th of 30 steps with 38.7 pA of depolarizing input. &nbsp;PYR2 first spikes on the 3rd of 13 steps with 1.2 pA of input. &nbsp;PYR3 first spikes on the 7th of 34 steps with 62.0 pA of input, and PYR4 first spikes on the 7th of 30 steps with 12.1 pA of input.</p>

opencc-zeroApr 2014View details →
zenodo36/100

Data set of CA1 pyramidal cell recordings using an intact whole hippocampus preparation, including recordings of rebound firing (V2)

<p>The frequency-current (f-I) profiles and an example of rebound firing of pyramidal cells are presented. Four .abf files contain the&nbsp;f-I curve data for the respective cell (as labelled PYR1, PYR2, PYR3 and PYR4 for Pyramidal cell 1, Pyramidal cell 2, Pyramidal cell 3 and Pyramidal cell 4). &nbsp;That is, they contain the cell&#39;s response to the application of a series of depolarizing current steps of 1 s duration while the cells are held in current clamp, as well as the current clamp data itself. &nbsp;Each recording is 2 s total. &nbsp;Amplitudes of the input were increased incrementally with step sizes of 10 pA for PYR1, PYR3, and PYR4, and a step size of 25 pA for PYR 2.&nbsp;&nbsp;PYR1 first spikes on the 5th of 30 steps with 38.7 pA of depolarizing input. &nbsp;PYR2 first spikes on the 3rd of 13 steps with 1.2 pA of input. &nbsp;PYR3 first spikes on the 7th of 34 steps with 62.0 pA of input, and PYR4 first spikes on the 7th of 30 steps with 12.1 pA of input.&nbsp; In the .abf file labelled PYR5_rebound, an example of rebound firing of a pyramidal cell following hyperpolarizing input is given.&nbsp; While the cell was held at -52 mV in current clamp, as series of 1 s hyperpolarizing steps (10 steps, 25 pA increments) were used to record the post- hyperpolarization rebound spiking.&nbsp; For the figure showing this rebound spiking (Figure 1), the first two hyperpolarizing steps and the respective firing are shown.&nbsp; For visualization purposes, the spike artifact in the current clamp input trace was removed and replaced with the mean current in the Figure.&nbsp;</p>

opencc-zeroMay 2015View details →
zenodo36/100

globalbioticinteractions/AfricaTreeDatabase: prepare for publication to zenodo

<p>Seltzer, Carrie; Wysocki, William; Palacios, Melissa; Eickhoff, Anna; Pilla, Hannah; Aungst, Jordan; Mercer, Aaron; Quicho, Jamie; Voss, Neil; Xu, Man; J. Ndangalasi, Henry; C. Lovett, Jon; J. Cordeiro, Norbert (2015): Plant-animal interactions from Africa. figshare. https://dx.doi.org/10.6084/m9.figshare.1526128 . To be included in http://globalbioticinteractions.org .</p>

openother-openJan 2017View details →
zenodo36/100

Differentially expressed genes in berries and rachis of berry shrivel grape clusters used to prepare figures for a review

<p>Grapevine berry shrivel is a ripening disorder leading to significant economic losses in the worldwide wine and table grape industries. Sugar accumulation stops early after ripening onset accompanied with cell death in berreis and subtending pecicels and rachis finally resulting in berry shrinkage. To date, the triggers of BS remain unknown. The dataset supports figures prepared for an review which aims to summarize and critically discuss the current knowledge. Data are expressed as differentially expressed genes obtained from grape berries samples collected at six developmental stages (pre- until post-veraison) analysed with RNASeq and two pooled samples (pre- and BS symptomatic) from the rachis analyzed with a microarray study. Extracted information focus on primary metabolic processes including sugar transport and metabolism, organic acid metabolism, stress signaling and cell as well as cell wall organisation. Data are mean values of three biological represent and presented as log2 fold changes including statistical information. A meta-data sheet provides the most relevant information and references.&nbsp;</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Fig. 682-685 in Guide to preparing scientific illustrations in Entomology on an example of Ichneumonidae (Hymenoptera)

Fig. 682-685: Stages of fulfillment of image of tergites 1-2 in a complete format (see text).

opencc-by-4.0Dec 2013View details →
zenodo36/100

Fig. 537-540 in Guide to preparing scientific illustrations in Entomology on an example of Ichneumonidae (Hymenoptera)

Fig. 537-540: Stages of fulfillment of image of head in complete format (see text).

opencc-by-4.0Dec 2013View details →
zenodo36/100

Fig. 536 in Guide to preparing scientific illustrations in Entomology on an example of Ichneumonidae (Hymenoptera)

Fig. 536: Dialog box Hue/Saturation at giving a tint to areas of head capsule.

opencc-by-4.0Dec 2013View details →
zenodo36/100

Fig. 603-606 in Guide to preparing scientific illustrations in Entomology on an example of Ichneumonidae (Hymenoptera)

Fig. 603-606: Stages of fulfillment of image of propodeum in complete format (see text).

opencc-by-4.0Dec 2013View details →
zenodo36/100

Fig. 489-492 in Guide to preparing scientific illustrations in Entomology on an example of Ichneumonidae (Hymenoptera)

Fig. 489-492: Stages of fulfillment of image of a head in a complete format (see text).

opencc-by-4.0Dec 2013View details →
zenodo36/100

Fig. 288 in Guide to preparing scientific illustrations in Entomology on an example of Ichneumonidae (Hymenoptera)

Fig. 288: Selection of parameters in palette Brushes for fulfillment of puncturation of temples.

opencc-by-4.0Dec 2013View details →
zenodo36/100

Fig. 431-432 in Guide to preparing scientific illustrations in Entomology on an example of Ichneumonidae (Hymenoptera)

Fig. 431-432: Scaling of flagellum and wings: (431) scaling of flagellum, (432) scaling of wings.

opencc-by-4.0Dec 2013View details →

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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