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1,723 results for “Reactivation”
bipl5: An R Package for Reactive Calibrated Axes PCA Biplots
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Autonomous Execution of Highly Reactive Chemical Transformations in the Schlenkputer
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Ferrous iron (Fe+2) released from iron-rich chlorite as a reductant for unconformity-related uranium mineralization: insights from reactive fluid flow modeling
<p>Tables 1-5</p>
The datest, Aerosol Radiation Effect Outweighs VOCs Reactivity Effect on Vertical Ozone Photochemical Features
<p>该数据集包括所有使用的原始和过滤后的VOCs和NO2观测数据,以及模型输入数据和从模拟实验中提取的所有结果。</p>
Low amplitude depths and high frequencies SSVEp stimuli for reactive BCI
<p>We have conducted two distinct study to systematically design more comfortable SSVEP stimuli, exploring both reduction of amplitude depth and the use of high frequency stimuli.<br> The participants did not report any of the exclusion criteria (neurological antecedents, usage of psychoactive medication). The study was approved by the ethics committee of the University of Toulouse (CER approval number 2020-334) and was carried in accordance with the declaration of Helsinki. Participants gave informed written consent prior to the experiment.<br> Experiment took place in ISAE-Supaero, Toulouse, FRANCE.</p> <p># EEG data acquisition</p> <p>EEG data was recorded from 32 electrodes fitted in an elastic cap according to the 10-20 international system and connected to a LiveAmp amplifier (Brain Products, Munich, Germany). The ground electrode was placed at the Fpz electrode location and all electrodes were referenced to FCz electrode. The electrode impedance were brought below 20kOhm prior recording. The signal was acquired at a rate of 500Hz with a digital band-pass filter ranging from 0.1 to 250Hz. At the onset of every stimulus presentation, an event trigger was generated by the stimulus presentation program and synchronized to the EEG data stream via Lab Streaming Layer(LSL).<br> Data are in .set/.fdt format from EEGLab.<br> <br> # High frequencies vs low frequencies</p> <p>The twelve helathy subjects (mean age=27, SD=6, 8 male and 4 female) underwent a single session that was cut in two separated parts. Firstly, we have presented sequentially and individually stimuli with twelve, low, frequencies from 8 to 30Hz with a range of 2Hz and then another, high, frequencies from 32 to 60 with a 2Hz range (48, 50, 52Hz were excluded because of power line noise). Half of the subjects started the session with low frequencies and the other half with high ones. Each stimulation was preceded by a red circling, visual cue, for 0.5s, it then lasted for 3s, followed by an inter-trial of 0.5s with a self-paced break (space bar press to continue) between blocks. A block consists of the presentation of the twelve corresponding frequencies of the condition. Each block was repeated 15 times.<br> Naming of the files follow the convention: P{subject number}_high for high frequencies or P{subject number}_low for the low frequencies.<br> The data includes all the triggers and the corresponding label. Use for instance</p> <pre><code class="language-python">mne.io.read_raw_eeglab</code></pre> <p># Amplitude reduction</p> <p>We have studied amplitude depth reduction for both high and low frequency stimuli. Amplitude depth corresponds to the contrast, i.e. the difference between the two antagonist states of the stimuli. In our case we have reduced the maximum amplitude reachable and kept the minimum the same. For instance, full amplitude depth stimulus oscillates between white (minimum) and black (maximum). With reduced amplitude it oscillates between white (minimum) and gray (maximum that vary).<br> Twelve healthy individuals (mean age=27, SD=5, 8 male and 4 female) took part in this experiment. We have selected 12, 14, 16 and 18Hz as for the low frequencies condition and 32, 34, 36 and 38Hz frequencies. Each stimulation was preceded by a red circling, visual cue, for 0.5s, it then lasted for 3s, followed by an inter-trial of 0.5s with a self-paced break (space bar press to continue) between blocks. A block consists of the presentation of the four corresponding frequencies of the condition. Each block was repeated 15 times.<br> The amplitude depth was manipulated across six levels (100, 80, 60, 50, 40, 30).<br> The total duration of this experiment was twice as long as the first one and therefore was split in two sessions. The two sessions were separated by a maximum of one week.</p> <p> </p> <p> </p> <p>Fore more details on the data please contact simon.ladouce@isae-supaero.fr or ludovic.darmet@isae-supaero.fr.</p>
All data of the manuscript "A self-sustained charge neutrality intracloud lightning parameterization containing channel decay and reactivation" submitted to Geophysical Research Letters
<p>The data support the manuscript entitled "A self-sustained charge neutrality intracloud lightning parameterization containing channel decay and reactivation". Microsoft Notepad can open the *.txt files, they contain the channel information of two intracloud flashes (IC1 and IC2) and the channel elctrical parameters at the first fork of positive or negative leader channels. A normal video player software can open Movie_S1.avi, and it shows the entire development process of IC1 discharge.</p> <p>The data can be used freely for scientific purposes with the appropriate citation.</p>
DMA data - reactive extrusion
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The proportion of REEs in the chemical reactive phase of river sediments serves as an index for silicate weathering intensity
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Raw data for 'Engineered Lipids for Intracellular Reactive Oxygen Species Scavenging in Steatotic Hepatocytes'
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Non-invasive monitoring of a reactive soil transition zone during water table fluctuations using spectral induced polarization (SIP) and electrodic potential (EP)
<p>Transition zones separating the unsaturated and saturated domains in soils are a hotspot for biogeochemical activity. They are challenging to study because they are dynamic, requiring high resolution temporal and spatial data acquisition methods to capture the biogeochemical processes across the water table. Non-invasive geophysical techniques, such as spectral induced polarization (SIP) and electrodic potential (EP), offer comparatively inexpensive monitoring approaches that yield data on changes in soil electrical properties, driven by reactive processes at high spatial and temporal resolutions. We investigated SIP and EP signal variations in artificial soil-filled columns, experiencing periodic water table fluctuations in order to: (1) assess the effectiveness of SIP and EP in monitoring a complex soil transition zone, and (2) couple the measured geophysical signals to changes in physical, chemical and microbial properties. SIP responses showed a clear dependence on the depth-distribution of microbial biomass. Dynamic imaginary conductivity (<em>σ''</em>) responses were only detected in the water table fluctuation zone and, in contrast to real conductivity (<em>σ'</em>) data, did not exhibit a direct soil moisture driven dependence. We attribute the observed dynamics in <em>σ'' </em>to microbially driven reactions. An EP anomaly arose concurrent to the production of SO<sub>4</sub><sup>2- </sup>as a result of oxygenation at depth during drainage of the columns. Our findings show that continuous SIP and EP signals, in conjunction with periodic measurements of geochemical indicators, can help determine the location and temporal variability of biogeochemical activity and be used to monitor targeted reaction zones and pathways in complex soil environments.</p>
Reactivity of graphene-supported Co clusters
<p>Raw data, meta data and corresponding list of figures are included.</p>
Safe Reinforcement Learning Through Reactive Synthesis and Behavioral Programming in Cyber-Physical Systems
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Data for: Predation risk and the evolution of a vertebrate stress response: parallel evolution of stress reactivity and sexual dimorphism
<p><span><span><span><span><span><span><span><span><span><span><span><span><span>Predation risk is often invoked to explain variation in stress responses. Yet, the answers to several key questions remain elusive, including: 1) how predation risk influences the evolution of stress phenotypes, 2) the relative importance of environmental versus genetic factors in stress reactivity, and 3) sexual dimorphism in stress physiology. To address these questions, we </span></span>explored variation in stress reactivity (ventilation frequency) in a post-Pleistocene radiation of live-bearing fish, where Bahamas mosquitofish (<i>Gambusia hubbsi</i>) inhabit isolated blue holes that differ in predation risk. Individuals of populations coexisting with predators exhibited similar, relatively low stress reactivity as compared to low-predation populations. We suggest that this dampened stress reactivity has evolved to reduce energy expenditure in environments with frequent and intense stressors, such as piscivorous fish. Importantly, the magnitude of stress responses exhibited by fish from high-predation sites in the wild changed very little after two generations of laboratory rearing in the absence of predators. By comparison, low-predation populations exhibited greater among-population variation and larger changes subsequent to laboratory rearing. These low-predation populations appear to have evolved more dampened stress responses in blue holes with lower food availability. Moreover, females showed a lower ventilation frequency, and this sexual dimorphism was stronger in high-predation populations. This may reflect a greater premium placed on energy efficiency in live-bearing females, especially under high predation risk where females show higher fecundities. Altogether, by demonstrating parallel adaptive divergence in stress reactivity, we highlight how energetic trade-offs may mould the evolution of the vertebrate stress response under varying predation risk and resource availability.</span></span></span></span></span></span></span></span></span></span></span></p>
Figure 1 from: Althanoon ZA, Mahmood IH (2021) Effect of lisinopril therapy on serum leptin, oxidative stress and C-reactive protein in hypertensive patients. Pharmacia 68(3): 705-711. https://doi.org/10.3897/pharmacia.68.e73140
Figure 1 The difference in mean of measured parameters (MDA, hsCRP, TAC, and GSH) among the study sampled groups.
Artifact for ICSE'23 paper: Triggers for Reactive Synthesis Specifications
<p>Artifact for ICSE'23 paper: Triggers for Reactive Synthesis Specifications</p>
Dataset for "Imaging frontside and backside attack in radical ion-molecule reactive scattering"
<p>Dataset for "Imaging frontside and backside attack in radical ion-molecule reactive scattering"</p>
Fig. 1 in Bond reactivity indices approach analysis of the [2+2] cycloaddition of jatrophane skeleton diterpenoids from Euphorbia gaditana Coss to tetracyclic gaditanone
Fig. 1. Structures of compounds 1–6.
Fig. 8 in Bond reactivity indices approach analysis of the [2+2] cycloaddition of jatrophane skeleton diterpenoids from Euphorbia gaditana Coss to tetracyclic gaditanone
Fig. 8. Possible resonance structures of unpaired electrons in the triplet state of 6.
Fig. 7 in Bond reactivity indices approach analysis of the [2+2] cycloaddition of jatrophane skeleton diterpenoids from Euphorbia gaditana Coss to tetracyclic gaditanone
Fig. 7. Proposed biosynthetic routes.
Fig. 2. Selected 1H–1H COSY and HMBC correlations for 3 in Bond reactivity indices approach analysis of the [2+2] cycloaddition of jatrophane skeleton diterpenoids from Euphorbia gaditana Coss to tetracyclic gaditanone
Fig. 2. Selected 1H–1H COSY and HMBC correlations for 3.
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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.
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.