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67 results for “timing projections”
Temperature and chemical composition of combustion gases over reaction time in several combustion tests conducted at a lab pilot plant to characterise a SRF prepared for an aluminium scrap pre-heating system (REVaMP project)
<p>Open access to experimental data generated by the REVaMP project (GA 869882, Horizon 2020, European Union) along the research of the combustion of a SRF, prepared from ASR, to be used as alternative fuel in a scrap pre-heater at an aluminium refinery plant.Research pertaining to Task 1.1 (WP1), Deliverable D1. <br> Underlying data for the publication Acha, E.; Lopez-Urionabarrenechea, A.;Delgado, C.; et al. Combustion of a Solid Recovered Fuel (SRF) Produced from the Polymeric Fraction of Automotive Shredder Residue (ASR). Polymers 2021, 13, 3807. https://doi.org/10.3390/polym13213807. Data related to Figures 3, 4, 5 in the article and Figures S3 and S5 of Supplementary materials of the manuscript.</p> <p>Subject: Study of the combustion of a SRF prepared from ASR in a lab-scale pilot plant consisting of a tank reactor and a packed-bed tubular reactor arranged in series, to evaluate the effects on kinetics and thermodynamics of the temperature and the type and flow rate of the oxidiser. Real-time measurements of the temperature of the tank, temperature of the gases and of the concentrations of O<sub>2</sub>, CO<sub>2</sub>, CO, N<sub>2</sub>O, NO<sub>2</sub>, NO, NH<sub>3</sub>, SO<sub>2</sub>, CH<sub>4</sub>, C<sub>2</sub>H<sub>6</sub>, C<sub>2</sub>H<sub>4</sub>, C<sub>3</sub>H<sub>8</sub>, C<sub>6</sub>H<sub>14</sub>, CH<sub>2</sub>O, HCl and HF in the combustion gases produced in 5 combustion runs performed at different reaction conditions. Useful information for designing the operation conditions of the SRF combustion chamber of the scrap pre-heater and for defining the flue gas cleaning requirements.</p>
Simulated sPHENIX Time-Projection Chamber (TPC) Data in Central Au-Au Collisions at sqrt[s] = 200 GeV, outer layer group
<p>This is the dataset we used to train the 2D and 3D Bicephalous Convolutional Autoencoders (BCAEs) described in "Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data" published in the 9th International Workshop on Data Analysis and Reduction for Big Scientific Data (https://drbsd.github.io/).<br> </p><p>To untar the file, run `tar -xvzf outer.tgz`. </p><p><br>The <i>Time Projection Chamber (TPC)</i> is a hollow cylinder. Along the radial dimension, the TPC is composed of 48 cylindrical layers of small sensors, which are grouped into three layer groups: inner, middle, and outer. Each layer group has 16 consecutive layers. On each TPC layer, the voxels are presented as a rectangular grid with rows along the z (or horizontal) direction and columns along the azimuthal direction. Within one layer group, all layers have the same number of rows and columns. This allows us to represent the ADC values from one layer group as a 3D array.</p><p>The data released here focuses on the <i>outer layer group</i>, where the array of ADC values has shape (16, 2304, 498) in the radial, azimuthal, and horizontal orders. <br><br>The full voxel data are divided into 24 equal-size non-overlapping sections: 12 along the azimuthal direction (30 degrees per section) and 2 along the horizontal direction (divided by the transverse plane passing the collision point). We call one such section a <i>TPC wedge</i>. The array of ADC values from each TPC wedge in the outer layer has shape (16, 192, 249), listed in radial, azimuthal, and horizontal directions, respectively. The TPC wedges are used as the direct input to the deep neural network compression algorithms.</p><p>We simulated 1310 events for central <i>sqrt[s]=200 GeV Au-Au collisions with 170kHz pile-up</i>. The data were generated with the HIJING event generator and Geant4 Monte Carlo detector simulation package integrated with the sPHENIX software framework.</p><p>The simulated TPC readout (ADC values) from these events are represented in a 10-bit unsigned integer in [0, 1023]. To reduce unnecessary data transmission between detector pixels and front-end electronics, a zero-suppression algorithm has been applied. ADC values below 64 are suppressed to zero as most of them are noise. The zero compression makes the TPC data sparse at about 10% nonzero occupancy.<br><br>We divide the 1310 total events into 1048 events for training and 262 for testing. Each event contains 24 outer-layer wedges. Thus, the training partition contains 25152 TPC outer-layer wedges, while the testing portion has 6288 wedges. The compression algorithm compresses each wedge independently.<br><br>The dataset has the following structure:</p><ol><li>24 subfolders with the name `12-2_[azimuthal section]-[horizontal section]` where the [azimuthal section] is labeled by an integer in [0, 11] and the [horizontal section] is labeled by either 0 or 1. Each file in one of the subfolders has the name in the format "AuAu200_170kHz_10C_Iter2_[simulation id].xml_TPCMLDataInterface_[event id within simulation].npy". There are 131 simulations, and each simulation contains 10 <i>independent</i> events (and hence the 1310 total events as mentioned above). Each [event id within simulation] is an integer in [0, 9].</li><li>train.txt: a list of all TPC wedges for the training split.</li><li>text.txt: a list of all TPC wedges for the test split.</li></ol><p>Note that the dataset is <i>split by events</i>. That is, if a TPC wedge from an event is in the train split, all 24 wedges from the same event will all be in the train split. The same holds for the test split.</p>
Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project
Automated time-lapse cameras can facilitate reliable and consistent monitoring of wild animal populations. In this report, data from 73,802 images taken by 15 different Penguin Watch cameras are presented, capturing the dynamics of penguin (Spheniscidae; Pygoscelis spp.) breeding colonies across the Antarctic Peninsula, South Shetland Islands and South Georgia (03/2012 to 01/2014). Citizen science provides a means by which large and otherwise intractable photographic data sets can be processed, and here we describe the methodology associated with the Zooniverse project Penguin Watch, and provide validation of the method. We present anonymised volunteer classifications for the 73,802 images, alongside the associated metadata (including date/time and temperature information). In addition to the benefits for ecological monitoring, such as easy detection of animal attendance patterns, this type of annotated time-lapse imagery can be employed as a training tool for machi ne learning algorithms to automate data extraction, and we encourage the use of this data set for computer vision development.
Data for "Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland"
<p>Data for the main figures for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland"</p>
Impact of a Technology Platform Based on Enhanced Recovery After(ERAS) Surgery on Length of Stay After Coronary Artery Bypass Grafting: Timely Project
ClinicalTrials.gov study NCT06786819. IPD Sharing: NO. Countries: 1. Publications: 1.
SedestActiv Project: Intervention to Reduce Diary Hours of Sitting Time in Overweight and Obese Patients
ClinicalTrials.gov study NCT01729936. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project
Open the record for dataset details and reuse information.
MERLIN H2020 Project: Video of the Marshmallow challenge time lapse at SAAEI 2018 Conference
<p>Video of the Marshmallow challenge time lapse at SAAEI Conference, July 2018</p>
Project CARE: An Integrated Treatment Adherence Program for Bipolar Disorder at the Time of Prison Release - Pilot RCT
ClinicalTrials.gov study NCT04269772. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Project CARE: An Integrated Treatment Adherence Program for Bipolar Disorder at the Time of Prison Release - Open Trial
ClinicalTrials.gov study NCT03825640. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Time Together: A Multi-site Nursing Intervention Project Using a Single System Experimental Design
ClinicalTrials.gov study NCT02981563. IPD Sharing: Not stated. Countries: 0. Publications: 1.
The TiMeD-T1D Project
ClinicalTrials.gov study NCT07172672. IPD Sharing: NO. Countries: 1. Publications: 0.
The Advance Project - Advancing Sleep Timing to Improve Depression
ClinicalTrials.gov study NCT06097221. IPD Sharing: NO. Countries: 1. Publications: 0.
Pilot Haskap Metabolite Timing Project
ClinicalTrials.gov study NCT06938386. IPD Sharing: NO. Countries: 1. Publications: 0.
Increase First-time Mothers' Use of Postpartum Family Planning in Tanzania: The Connect Project
ClinicalTrials.gov study NCT06261970. IPD Sharing: YES. Countries: 1. Publications: 0.
Modified Title Project 4: Effect of Meal Timing During Cancer Treatment in Alaska Native Patients
ClinicalTrials.gov study NCT06802172. IPD Sharing: NO. Countries: 1. Publications: 0.
Increase First-time Mothers' Use of Postpartum Family Planning in Bangladesh: The Connect Project
ClinicalTrials.gov study NCT06666036. IPD Sharing: YES. Countries: 1. Publications: 0.
The Blossom Project: "BlossomUP" Methods to Decrease Sedentary Time in Pregnancy
ClinicalTrials.gov study NCT02909725. IPD Sharing: NO. Countries: 1. Publications: 0.
Real-Time Structural Overload Control via Control Allocation Optimization Project
<p>This control methodology utilizes real-time vehicle structural load and&nbsp;shape measurements to actively respond to and protect against vehicle&nbsp;damage due to structural overload. The innovation utilizes critical point&nbsp;load feedback within an optimal control allocation architecture that&nbsp;constrains the load at those critical points while still producing the&nbsp;control response commanded by a pilot. Specifically, the technology&nbsp;monitors the loads at critical control points and shifts the loading away&nbsp;from points at or near their limits.</p><p><strong>Work to date:</strong> Using NASA&rsquo;s Full-Scale Advanced Systems Testbed&nbsp;(FAST) aircraft, the Armstrong team targeted the aileron hinge connection&nbsp;as a critical control point. The experiment produced successful results in simulation and flight, preventing structural overload and yielding good handling&nbsp;characteristics for optimization metrics and load constraint types.</p><p><strong>Looking ahead:</strong>&nbsp;This effort led to being awarded an ARMD seedling fund phase one to further develop the technique and expand the work to other autonomy efforts.&nbsp;Future tests will&nbsp;employ more advanced and unique sensor technologies, such as fiber&nbsp;optic strain sensors. This technology could open the door to truly novel&nbsp;approaches to vehicle and control system design.</p><p><strong>Benefits</strong></p><ul><li><strong>Effective:</strong> Identifies the optimum control&nbsp;surface usage for a given maneuver for both&nbsp;performance and structural loading</li><li><strong>Automated:</strong> Monitors and alleviates stress&nbsp;on critical load points in real time</li><li><strong>Economical:</strong> Decreases the need for&nbsp;repairs and general maintenance</li></ul><p><strong>Applications</strong></p><ul><li>Jet aircraft</li><li>Rocket controls</li><li>Industrial robotics</li><li>Structural health monitoring and load alleviation</li></ul>
RNA sequencing of olfactory bulb projection neurons in neurotensin-GFP (NTS-GFP) mice at different developing time points
GEO Series GSE70896. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
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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.