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Dataset results
528 results for “ACE”
Phase 1 Study of ACE-083 in Healthy Subjects
ClinicalTrials.gov study NCT02257489. IPD Sharing: NO. Countries: 1. Publications: 1.
Assessment of KAN-101 in Celiac Disease (ACeD)
ClinicalTrials.gov study NCT04248855. IPD Sharing: NO. Countries: 1. Publications: 1.
Clinical and Cost Effectiveness of ACE Inhibitor, Ramipril, in Intermittent Claudicants
ClinicalTrials.gov study NCT01037530. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ACES - ACE Inhibitors Combined With Exercise for Seniors With Hypertension
ClinicalTrials.gov study NCT03295734. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of Chronic ACE and DPP4 Inhibition on Blood Pressure
ClinicalTrials.gov study NCT02130687. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pharmacogenetics of Ace Inhibitor-Associated Angioedema
ClinicalTrials.gov study NCT01413542. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Study of Safety, Tolerability, Pharmacodynamics, and Pharmacokinetics of KAN-101 in Celiac Disease (ACeD-it)
ClinicalTrials.gov study NCT05574010. IPD Sharing: NO. Countries: 3. Publications: 1.
Efficacy of ACE Inhibitors, MRAs and ACE Inhibitor/ MRA Combination
ClinicalTrials.gov study NCT04143412. IPD Sharing: NO. Countries: 1. Publications: 8.
One-minute average cruise track and ship velocity of the Antarctic Circumnavigation Expedition (ACE) undertaken during the austral summer of 2016/2017.
<p><strong>Dataset abstract</strong></p> <p>The ship's cruise track, velocity, course over ground and heading at one-minute resolution for all five legs of the Antarctic Circumnavigation Expedition (ACE) are derived from a combination of:<br> - the latitude/longitude record of the Quality-checked, one-second cruise track for 21.12.2016 to 11.04.2017.<br> - the latitude/longitude record of the Uncorrected inertial navigation dataset (one-second resolution) for 27.11.2016 to 21.12.2016<br> - the latitude/longitude record of the raw meteorological data (30-second resolution) from 17.11.2016 to 27.11.2016<br> - where no latitude/longitude record at one-second resolution is available and the ship's velocity was above 2 meters per second, the three-second resolution record of the true and relative wind speed and direction, as well as the heading are used to re-calculate the ship's velocity under the assumption that the course of the ship equalled the heading.<br> Basic filtering are applied to remove erroneous observations before the data are averaged to a one-minute resolution.</p> <p><strong>Dataset contents</strong></p> <ul> <li>cruise-track-1min-legs0-4.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> <li>ace-cruise-track-1min-legs0-4-change-log.txt, metadata, text format</li> </ul> <p><strong>Change log</strong></p> <p><strong>v1.1</strong> - Added additional data coverage from 2016-11-17 - 2016-11-22 inclusive. Updated README.txt with information about data coverage. Added this change_log file.</p> <p><strong>v1.0</strong> - Initial release of averaged cruise track dataset.</p> <p><strong>Dataset license</strong></p> <p>This one-minute averaged cruise track and velocity dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Data from: Assessment of tumor treatment response using active contrast encoding (ACE)-MRI: comparison with conventional DCE-MRI
<p><strong>Purpose:</strong> To investigate the validity of contrast kinetic parameter estimates from Active Contrast Encoding (ACE)-MRI against those from conventional Dynamic Contrast-Enhanced (DCE)-MRI for evaluation of tumor treatment response in mouse tumor models.</p> <p><strong>Methods:</strong> The ACE-MRI method that incorporates measurement of <em>T<sub>1</sub></em> and <em>B<sub>1</sub></em> into the enhancement curve washout region, was implemented on a 7T MRI scanner to measure tracer kinetic model parameters of 4T1 and GL261 tumors with treatment using bevacizumab and 5FU. A portion of the same ACE-MRI data was used for conventional DCE-MRI data analysis with a separately measured pre-contrast <em>T<sub>1</sub></em> map. Tracer kinetic model parameters, such as <em>K<sup>trans</sup></em> (permeability area surface product) and <em>v<sub>e</sub></em> (extracellular space volume fraction), estimated from ACE-MRI were compared with those from DCE-MRI, in terms of correlation and Bland-Altman analyses. </p> <p><strong>Results:</strong> A three-fold increase of the median <em>K<sup>trans</sup></em> by treatment was observed in the flank 4T1 tumors by both ACE-MRI and DCE-MRI. In contrast, the brain tumors did not show a significant change by the treatment in either ACE-MRI or DCE-MRI. <em>K<sup>trans</sup></em> and <em>v<sub>e</sub></em> values of the tumors from ACE-MRI were strongly correlated with those from DCE-MRI methods with correlation coefficients of 0.92 and 0.78, respectively, for the median values of 17 tumors. The Bland-Altman plot analysis showed a mean difference of -0.01 /min for <em>K<sup>trans</sup></em> with the 95% limits of agreement of -0.12 /min to 0.09 /min, and -0.05 with -0.37 to 0.26 for <em>v<sub>e</sub></em>.</p> <p><strong>Conclusion:</strong> The tracer kinetic model parameters estimated from ACE-MRI and their changes by treatment closely matched those of DCE-MRI, which suggests that ACE-MRI can be used in place of conventional DCE-MRI for tumor progression monitoring and treatment response evaluation with a reduced scan time. <br> </p>
Fitness effects for Ace insecticide resistance mutations are determined by ambient temperature
Background <p>Insect pest control programs often use periods of insecticide treatment with intermittent breaks, to prevent fixing of mutations conferring insecticide resistance. Such mutations are typically costly in an insecticide free environment, and their frequency is determined by the balance between insecticide treatment and cost of resistance. Ace, a key gene in neuronal signaling, is a prominent target of many insecticides and across several species three amino acid replacements (I161V, G265A and F330Y) provide resistance against several insecticides. Because temperature disturbs neuronal signaling homeostasis, we reasoned that the cost of insecticide resistance could be modulated by ambient temperature.</p> Results <p>Experimental evolution of a natural Drosophila simulans population at hot and cold temperature regimes uncovered a surprisingly strong effect of ambient temperature. In the cold temperature regime, the resistance mutations were strongly counter selected (s= -0.055), but in a hot environment the fitness costs of resistance mutations were reduced by almost 50% (s=-0.031). We attribute this unexpected observation to the advantage of the reduced enzymatic activity of resistance mutations in hot environments.</p> Conclusion <p>We show that fitness costs of insecticide resistance genes are temperature-dependent, and suggest that duration of insecticide-free periods need to be adjusted for different climatic regions to reflect these costs. We suggest that such environment-dependent fitness effects may be more common than previously assumed and pose a major challenge for modeling climate change.</p>
Measurements of the solar wind propagation delay for L1 to Earth based on ACE and ground-based magnetometer data
<p>This database is the basis for the analysis described in the manuscript</p> <p>'Timing of the solar wind propagation delay between L1 and Earth based on machine learning'</p> <p>published in Journal of Space Weather and Space Climate.</p> <p> </p> <p><a href="https://doi.org/10.1051/swsc/2021026">https://doi.org/10.1051/swsc/2021026</a></p> <p> </p> <p>The database contains the times of 380 interplanetary shocks detected at ACE (T_ACE) which also caused a sudden impulse (T_SI) in the magnetosphere based on ground-based magnetometer data. This information can be found in 'measurement_SW_propagation.txt'.</p> <p>final_learningset_SWdelay.pickle contains the corresponding ACE data (solar wind speed, ACE position) at time T_ACE for each of the 380 cases.</p> <p>The datafile can be loaded with Python as follows:</p> <p>import pickle<br> with open('final_learningset_SWdelay.pickle', 'rb') as f:<br> [learnvector_o,learnvector_m,learnvector_s,learnvector,timevector]=pickle.load(f)</p> <p> </p> <p>The content is described as follows:</p> <p>learnvector_o - contains a list of ACE data in its original form, ordering ['rx','ry','rz','vx','vy','vz']</p> <p>learnvector_m - median of each feature</p> <p>learnvector_s - standard deviation of each feature</p> <p>learnvector - contains an array of the standardized data, which have been used to train the ML models.</p> <p>timevector - contains an array with the vector delay in seconds(first column), flat delay in seconds (second column), and measured solar wind propagation delay in seconds (third column)</p>
ACE: Abstract Consensus Encapsulation for Liveness Boosting of State Machine Replication (video)
Full video presentation of the paper: ACE: Abstract Consensus Encapsulation for Liveness Boosting of State Machine Replication.<br><br>Appears in Session 3 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
DATASET: Isotope Ratios, Carbon and Nitrogen Concentrations, and Phytoplankton Composition Data from the ACE Expedition
<p>This dataset represents the averaged observations derived from the Antarctic Circumnavigation Expedition (ACE - 2016/2017) and has been utilized for the analyses presented in the publication: "A circum-Antarctic plankton isoscape: Carbon export potential across the summertime Southern Ocean". It encompasses a comprehensive suite of biogeochemical measurements, specifically the isotopic ratios (δ13C, δ15N) and concentrations of carbon and nitrogen in Suspended Particulate Matter (SPM). Additionally, it includes data from High-Performance Liquid Chromatography (HPLC) analyses (i.e., Total Chl-a and fractions of pico-, nano-, and micro-phytoplankton).</p><p>This dataset also contains the outputs of our calculations based on the two-endmember isotope mixing model (Fawcett et al., 2011), complemented by the Rayleigh model (Mariotti et al., 1981) to deduce the fraction of phytoplankton biomass originating from new nitrogen source (New Production).</p>
Dataset related to: Endothelial Glycocalyx of Peritubular Capillaries in Experimental Diabetic Nephropathy: A Target of ACE Inhibitor-Induced Kidney Microvascular Protection
<p>The files contain all the dataset included in the manuscript divided by figures.</p> <p> </p> <p>Abstract: Peritubular capillary rarefaction is a recurrent aspect of progressive nephropathies. We previously found that peritubular capillary density was reduced in BTBR <em>ob</em>/<em>ob</em> mice with type 2 diabetic nephropathy. In this model, we searched for abnormalities in the ultrastructure of peritubular capillaries, with a specific focus on the endothelial glycocalyx, and evaluated the impact of treatment with an angiotensin-converting enzyme inhibitor (ACEi). Mice were intracardially perfused with lanthanum to visualise the glycocalyx. Transmission electron microscopy analysis revealed endothelial cell abnormalities and basement membrane thickening in the peritubular capillaries of BTBR <em>ob</em>/<em>ob</em> mice compared to wild-type mice. Remodelling and focal loss of glycocalyx was observed in lanthanum-stained diabetic kidneys, associated with a reduction in glycocalyx components, including sialic acids, as detected through specific lectins. ACEi treatment preserved the endothelial glycocalyx and attenuated the ultrastructural abnormalities of peritubular capillaries. In diabetic mice, peritubular capillary damage was associated with an enhanced tubular expression of heparanase, which degrades heparan sulfate residues of the glycocalyx. Heparanase was also detected in renal interstitial macrophages that expressed tumor necrosis factor-α. All these abnormalities were mitigated by ACEi. Our findings suggest that, in experimental diabetic nephropathy, preserving the endothelial glycocalyx is important in order to protect peritubular capillaries from damage and loss.</p>
Data Corpus for the IEEE-AASP Challenge on the Acoustic Characterization of Environments (ACE)
<p>The aim of this challenge was to evaluate state-of-the-art algorithms for blind acoustic parameter estimation from speech and to promote the emerging area of research in this field.</p> <p>Several established parameters and metrics have been used to characterize the acoustics of a room. The most important are the Direct-To-Reverberant Ratio (DRR), the Reverberation Time (<em>T60</em>) and the reflection coefficient. The acoustic characteristics of a room based on such parameters can be used to predict the quality and intelligibility of speech signals in that room. Recently, several important methods in speech enhancement and speech recognition have been developed that show an increase in performance compared to the predecessors but do require knowledge of one or more fundamental acoustical parameters such as the <em>T60</em>. Traditionally, these parameters have been estimated using carefully measured Acoustic Impulse Responses (AIRs). However, in most applications it is not practical or even possible to measure the acoustic impulse response. Consequently, there is increasing research activity in the estimation of such parameters directly from speech and audio signals.</p> <p><strong>Documentation and software</strong></p> <ul> <li>Corpus instructions including software operating instructions</li> <li>Software to generate new datasets from the corpus materials (Matlab)</li> <li><em>T</em>60 and DRR measurements in fullband and <a href="http://www.iso.org/iso/catalogue_detail.htm?csnumber=1350">ISO-266</a> preferred frequency bands</li> <li>Room dimensions and approximate positions of microphones and sources</li> </ul> <p><strong>Anechoic speech</strong></p> <p>Comprising Development (Dev): 4 male talkers, 2 utterances each, and Evaluation (Eval): 5 male and 5 female talkers, 5 utterances each, recorded using the anechoic chamber at <a href="http://www.tudelft.nl/en/">TU Delft</a> at <em>fs</em>=48 kHz in 16-bit format. Plain text (.txt) transcriptions of each .wav file are included.</p> <p><strong>RIRs and noise by microphone configuration</strong></p> <p>Each archive below contains the set of <em>fs</em>=48 kHz 16-bit RIRs, ambient, fan and babble noise .wav files for each room and microphone position for that microphone configuration, recorded in 7 different rooms in the <a href="http://www3.imperial.ac.uk/electricalengineering">Dept. of Electrical and Electronic Engineering at Imperial College London</a>.</p> <p>The corpus comprises the following components:</p> <ul> <li>Single-channel (based on cruciform channel 1) 417 MB</li> <li>2-channel laptop 1.05 GB</li> <li>3-channel mobile 1.59 GB</li> <li>5-channel cruciform 2.84 GB</li> <li>8-channel linear 4.24 GB</li> <li>32-channel spherical 14.2 GB</li> </ul> <p>The corpus and the ACE Challenge are described in the following <a href="https://www.researchgate.net/publication/303854321_Estimation_of_room_acoustic_parameters_The_ACE_Challenge">journal paper</a>:</p> <ul> <li>J. Eaton; N. D. Gaubitch; A. H. Moore; P. A. Naylor, "Estimation of room acoustic parameters: The ACE Challenge," in <em><a href="http://ieeexplore.ieee.org/document/7486010/">IEEE/ACM Transactions on Audio, Speech, and Language Processing</a></em>, vol. 24, no.10, pp.1681-1693, Oct. 2016.</li> </ul> <p>Please cite this whenever you use any part of the corpus. BibTeX references are available here for the <a href="http://www.commsp.ee.ic.ac.uk/~sap/uploads/data/ACE/ACE_IEEE_ref.bib">journal paper</a> and <a href="http://www.commsp.ee.ic.ac.uk/~sap/uploads/data/ACE/ACE_Tech_ref.bib">technical report</a>.</p> <ul> </ul>
Mediating effects of Trait Emotional Intelligence on the association between Adverse Childhood Experiences (ACEs) and Self-reported Health
<p>Data for two studies which investigate the role of trait emotional intelligence in resilience following adverse childhood experiences. </p>
RAW to ACES Utility Data - Dyer et al. (2017)
<p>This deposit only contains the spectral data from <em>Dyer, S., Forsythe, A., Irons, J., Mansencal, T., & Zhu, M. (2017). RAW to ACES Utility - Data</em>. The Source URL link redirects to the colour-science fork because of the following Pull Request: <a href="https://github.com/ampas/rawtoaces/pull/113">https://github.com/ampas/rawtoaces/pull/113</a></p> <p><strong>Source URL</strong>: <a href="https://github.com/colour-science/rawtoaces/tree/e1a06e7984f36661f18be8699059179f8aa09dfe/data">https://github.com/colour-science/rawtoaces/tree/e1a06e7984f36661f18be8699059179f8aa09dfe/data</a></p> <p>The RAW to ACES Utility or <code>rawtoaces</code>, is a software package that converts digital camera RAW files to ACES container files containing image data encoded according to the Academy Color Encoding Specification (ACES) as specified in <a href="http://ieeexplore.ieee.org/document/7289895/">SMPTE 2065-1</a>. This is accomplished through one of two methods.</p>
Dimerization the ACE-2 with Different RBD Mounts: A Dynamic Simulation Perspective on SARS-Cov-2 Infecting Details
<p>The system construction and dynamic simulation data of paper "Dimerization the ACE-2 with Different RBD Mounts: A Dynamic Simulation Perspective on SARS-Cov-2 Infecting Details"(manuscript, ci-2023-00041c) are prepared.</p>
ace-design/qualified-user-stories: Version 1.0
<p>First release of the dataset, including ground truth, Visual Narrator, GPT-3.5 and CRF.</p>
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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.