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35 results for “virtual time”
Virtual stations (TeroVIR ) and water level time series (TeroWAT) in West Africa and Arctic regions
<p>The dataset contains a sample of locations across Siberia and Africa, for which water-level time series were automatically derived from Sentinel-3 altimeters (methodology described in Machefer et al. 2022<sup>1</sup>) from year 2016 to year 2021, together with the in-situ station records and the area covered by the altimetry measurements. The purpose of this dataset is validation and exemplification of the methodology. </p> <p>The methodology described produces comprehensive water level records at a global scale based on altimetry satellite data. The validation against in-situ data was assessed in numerous environments in West Africa and complex locations such as Arctic rivers partially covered with ice.<br> <br> This dataset offers a sample of the records at 3 locations in West Africa (Kemacina [Mali], Koulikouro [Mali], Lokoja [Niger]) and in the sub-arctic region (Yakutsk [Russia]). The data are organised by Level 1 of <a href="http://www.hydrosheds.org/">HydroBASINS</a><sup>2 </sup>definition (ex: africa) in two folders, each containing: virtual stations (teroVIR) and insitu stations (insitu) as shapefiles with their associated metadata, the corresponding water level time series (teroWAT) in NetCDF, and the level 3 of HydroBASINS, corresponding to the largest river basins of each continent. Finally, a csv file (validation) presents the computed metrics assessing the accuracy of the processors.</p> <p>N.B.: time series with less than two common date points between insitu and teroWAT have not been assessed. </p> <p>[1] Machefer, M., Perpinyà-Vallès M., Escorihuela M.J., Gustafsson D., Romero L. (2022): Challenges and evolution of water level monitoring towards a comprehensive, world-scale coverage with remote sensing. Earth System Science Data (Under Reviewing)</p> <p>[2] Lehner, B., Grill G. (2013): Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27(15): 2171–2186. Data is available at www.hydrosheds.org.</p>
BRAIN Journal - Lamport's algorithm - Figure 2 from paper "Optimization of Distributed Systems Using Multi-Agent Systems with Virtual Time"
<p>Figure 2. Lamport’s algorithm</p> <p>In order to synchronize logical clocks, Lamport [3] defined the relationship “happened before” (preceded) which implies that the expression 1 2 a → a means “ 1 a occurred before 2 a ”, and it means that all the processes coincide in the fact that 1 a took place first, and subsequently 2 a took place. This relation can be directly observed in two situations (figure 2): 1. If two events happen during the same process, the order of the happening is indicated by the common clock; 2. When two processes communicate through a message, the event that corresponds to sending the precise message always happens before the event of receiving it (i.e. the message). If two events, 1 a and 2 a , are produced in different processes that do not exchange messages (neither directly nor indirectly), then it is not certain if 1 2 a → a or 2 1 a → a . In this case it is said that these events are competitive, which means that it is not known which one happened first (and it is not a must-know thing either).</p>
Figure 3. The multi-agent system-Optimization of Distributed Systems Using Multi-Agent Systems with Virtual Time
<p>The authority is given to a single agent<br> that is symbolically situated on the top level; this agent would be considered the root of an<br> arborescent structure; but the stages of the process are provided by groups of agents, respectively by<br> the relations of communication between them.<br> Thus, we would deal with a ZERO AGENT and several groups of agents. Such a group is<br> made up of several agents, each and one of these agents accomplishing a certain role in the process<br> of synchronization (figure 3).</p>
Figure 2. Lamport's algorithm-Optimization of Distributed Systems Using Multi-Agent Systems with Virtual Time
<p>In order to synchronize logical clocks, Lamport [3] defined the relationship “happened<br> before” (preceded) which implies that the expression 1 2 a → a means “ 1 a occurred before 2 a ”, and it<br> means that all the processes coincide in the fact that 1 a took place first, and subsequently 2 a took<br> place. This relation can be directly observed in two situations (figure 2):<br> 1. If two events happen during the same process, the order of the happening is indicated by<br> the common clock;<br> 2. When two processes communicate through a message, the event that corresponds to<br> sending the precise message always happens before the event of receiving it (i.e. the<br> message).</p>
Figure 1. Cristian's Algorithm-Optimization of Distributed Systems Using Multi-Agent Systems with Virtual Time
<p>Cristian’s Algorithm (figure 1) is a method for clock synchronization which can be used in<br> many fields of distributive computer science. It suffers, though, in implementations using a single<br> server, making it unsuitable for many distributive applications where redundancy may be crucial.</p>
Virtual benchmarking study training time series - binary set 1
<p>A dataset with time series for training virtual sensor models for wind turbine aeroelastic loads. Data are in zipped format, each zip file contains 1000 individual time series. For the purpose of space preservation, each time series is stored in parquet binary format with "snappy" encoding.</p> <p>Reading a parquet file in Python can be done with the pandas library, with the following command sequence:</p> <p>import pandas as pd<br> Data = pd.read_parquet(filename)</p> <p> </p>
Timely Dictionary Development: In-person and Virtual Rapid Word Collection for Endangered Indigenous Languages
<p>Timely Dictionary Development: In-person and virtual Rapid Word Collection for endangered Indigenous Languages</p> <p>Dorothea Hoffmann, Wilhelm Meya, Abbie Hantgan-Sonko & Elliot Thornton</p> <p>Presented 5 October 2022 at the Berlin-Brandenburg Academy of Sciences and Humanities Where Do We Need to Go From Here? Language Documentation and Archiving in the International Decade of Indigenous Languages</p>
Virtual wall 1, scaling time, 2 metro nets, 3 metro nodes, 2 end nodes
<p>This contains rtts and summaries thereof.</p> <p>See ARCFIRED D4.4 for data analysis.</p>
Immersive Virtual Reality (VR) at the Time of Clinical Evaluation to Improve Psychological Distress and Anxiety in Primary Brain Tumor (PBT) Patients
ClinicalTrials.gov study NCT04301089. IPD Sharing: YES. Countries: 1. Publications: 7.
Reliability and Acceptability of Real-time Virtual Video Pediatric Gait, Arms, Legs and Spine (V-pGALS)
ClinicalTrials.gov study NCT04668820. IPD Sharing: NO. Countries: 1. Publications: 4.
Virtual Coaching to Maximize Dementia Caregivers' Respite Time Use
ClinicalTrials.gov study NCT03689179. IPD Sharing: YES. Countries: 1. Publications: 1.
A Round-Trip Time and Virtualization dataset
<p>No description provided.</p>
Technical Report and Simulation Results for the Paper "It's About Time: On Optimal Virtual Network Embeddings under Temporal Flexibilities"
<p>Archiving the data and the technical report corresponding to our publication "It’s About Time: On Optimal Virtual Network Embeddings under Temporal Flexibilities".<br> The data was previously publicly available at https://net.t-labs.tu-berlin.de/~stefan/tvnep.html.</p>
Data from: Alteration of (frequency-dependent) fitness in time-shift experiments reveals cryptic co-evolution and uncoordinated stasis in a virtual Jurassic Park
Digital evolution is a computer-based instantiation of Darwinian evolution in which short self-replicating computer programs compete, mutate, and evolve. It is an excellent experimental platform for addressing topics in both short-term and long-term evolution, such as whether co-evolving multispecies communities are dominated more by biotic or abiotic factors, and whether evolutionary stasis affects performance as well as ecological profile. We evolved model communities with ecological interdependence among community members, which were subjected to two principal types of mass extinction: a pulse extinction that killed randomly, and a selective press extinction involving an alteration of the abiotic environment to which the communities had to adapt. These treatments were applied at two different strengths (Strong and Weak), along with unperturbed Control experiments. We performed several kinds of competition experiments using simplified versions of these communities to see whether long-term stability that was implied previously by ecological and phylogenetic metrics was also reflected in terms of performance, i.e. whether fitness was static over long periods of time. Results from Control and Weak treatment communities revealed almost completely transitive evolution, while Strong treatment communities showed higher incidences of intransitivity, with pre-treatment ecotypes often able to displace some of their post-recovery successors. However, pre-treatment carryovers more often had lower fitness in mixed communities than in their own fully native conditions. Replacement and invasion experiments pitting single ecotypes against pre-treatment reference communities showed that many of the invading ecotypes could measurably alter the fitnesses of one or more residents, usually with depressive effects, and that the strength of these effects increased over time even in the most stable communities. However, invaders taken from Strong treatment communities often had little to no effect on resident performance. While we detected periods of time when the fitness of a particular evolving ecotype remained static, this stasis was not permanent and was uncoordinated, never affecting an entire community at once. Our results lend support to the fitness-deterioration interpretation of the Red Queen hypothesis, and highlight community context-dependence in determining fitness, the shaping of communities by both biotic factors and abiotic forcing, and the illusory nature of evolutionary stasis. Our results also demonstrate the potential of digital evolution studies to illuminate many aspects of evolution in interacting multispecies communities.
Virtual Reality-Based Timed Up and Go Test in Young Adults
ClinicalTrials.gov study NCT07362004. IPD Sharing: NO. Countries: 1. Publications: 6.
TIME™ at Home Feasibility Study: Evaluation of a Virtually Delivered, Community-based, Task-oriented Exercise Program
ClinicalTrials.gov study NCT05369741. IPD Sharing: NO. Countries: 1. Publications: 1.
Diabetes Learning in Virtual Environments Just in Time for Community Reentry
ClinicalTrials.gov study NCT05286892. IPD Sharing: YES. Countries: 1. Publications: 42.
Data from: Alteration of (frequency-dependent) fitness in time-shift experiments reveals cryptic co-evolution and uncoordinated stasis in a virtual Jurassic Park
Open the record for dataset details and reuse information.
Comparison of Operating Room Time Length With the Use of Virtual Surgical Planning Versus Conventional Treatment of Mandible Fractures
ClinicalTrials.gov study NCT04283981. IPD Sharing: NO. Countries: 1. Publications: 0.
Verify the Performance in Clinical Practice of the Immersive Virtual Reality Platform GRAIL (Gait Real-time Analysis Interactive Lab)
ClinicalTrials.gov study NCT06317519. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.