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4,325 results for “real”
Nationwide real-world implementation of AI for cancer detection in population-based mammography screening (PRAIM)
Open the record for dataset details and reuse information.
Monitoring the compaction of single DNA molecules in Xenopus egg extract in real time
Open the record for dataset details and reuse information.
CovidCounties is an interactive real time tracker of the COVID19 pandemic at the level of US counties
Open the record for dataset details and reuse information.
Avoiding 3D obstacles in mixed reality: Does it differ from negotiating real obstacles?
<p>This dataset is used in "Avoiding 3D obstacles in mixed reality: Does it differ from negotiating real obstacles?". Mixed-reality technologies are evolving rapidly, allowing for gradually more realistic interaction with digital content while moving freely in real-world environments. In this study, we examined the suitability of the Microsoft HoloLens mixed-reality headset for creating locomotor interactions in real-world environments enriched with 3D holographic obstacles. In Experiment 1, we compared obstacle-avoidance maneuvers of 12 participants stepping over either real or holographic obstacles of different heights and depths. Participants’ avoidance maneuvers were recorded with three spatially and temporally integrated Kinect v2 sensors. Similar to real obstacles, holographic obstacles elicited obstacle-avoidance maneuvers that scaled with obstacle dimensions. However, some participants showed maladaptive obstacle-avoidance maneuvers to holographic obstacles by consistently failing to raise their trail foot or by crossing the obstacle with extreme margins. In Experiment 2, we examined the efficacy of mixed-reality video feedback in altering such maladaptive avoidance maneuvers. Participants quickly adjusted maladaptive maneuvers in the course of mixed-reality feedback trials and these improvements were largely retained in subsequent trials without feedback. Participant-specific differences in real and holographic obstacle avoidance notwithstanding, the present results suggest that 3D holographic obstacles, supplemented with mixed-reality feedback, may be used for studying and perhaps also training 3D obstacle avoidance.</p>
Rapid and real-time identification of fungi up to the species level with long amplicon Nanopore sequencing from clinical samples
<p>Samples collected from fungal cultures, skin of dogs and ZymoBIOMICS<sup>TM </sup>mock community (which includes <em>Saccharomyces cerevisiae</em> and <em>Cryptococcus neoformans</em>). The amplicons length of the fungal cultures and ZymoBIOMICS<sup>TM </sup>mock community is 3,5 Kb and 6 Kb, while the <em>Malassezia spp</em> samples used as control is 3,5 Kb. The amplicons length of the four samples from the skin is 3,5 Kb.</p>
SIMBED+ - Replicable Real Wireless Networking Experiments using ns-3
<p>Wireless networking R&D depends on experimentation to make realistic evaluations of networking solutions, as simulation is inherently a simplification of the real-world. However, despite more realistic, experimentation is limited in aspects where simulation excels, such as repeatability and reproducibility.</p> <p>Real wireless experiments may be difficult to repeat. For the same input they can produce very different output results, since wireless communications are influenced by external phenomena such as noise, interference, and multipath. Even if repeatable, experiments may still be difficult to reproduce. Namely, other researchers may be unable to reproduce an experiment and confirm previous experimental results right away, because either the testbed is unavailable – offline or running other experiments when using a community testbed –, or inaccessible at all when a custom testbed was originally used.</p> <p>Fed4FIRE+ testbeds such as w-iLab.t, although operating in controlled environment, do not fully address the problem. This is even more evident in testbeds running in non-controlled and very dynamic environments, such as CityLab, where they may suffer from radio interference and competition from existing networks sharing the same radio spectrum.</p> <p>What if we could make any wireless experiment repeatable and reproducible? What if we could share the same Fed4FIRE+ testbed execution conditions among an "infinite" number of users? What if we could run wireless experiments faster than in real time?</p> <p>INESC TEC has developed the Offline Experimentation (OE) approach that combines the best of simulation and experimentation to achieve the above-mentioned goals. By relying on Network Simulator 3 (ns-3) and its good simulation capabilities from the MAC to the Application layer, we have been exploring how ns-3 can be used to replicate real-world wireless experiments using real traces containing 1) position of nodes and 2) the quality of each radio link.</p> <p>The previous <strong>SIMBED </strong>project validated the OE approach for controlled environments and helped identifying some of its limitations. The OE approach was then improved to support experiments using Multiple-In-Multiple-Out (MIMO) and shared radio spectrum with concurrent networks. To further validate the improved OE approach, the <strong>SIMBED+</strong> project aimed at running a set of experiments on top of the controlled and non-controlled environments of w-iLab.t and CityLab Fed4FIRE+ testbeds. For that purpose, we configured different fixed experimental scenarios, representative of Wi-Fi range of operation, subjected to controlled and non-controlled interference from concurrent experiments. For each experiment the achieved network throughput was measured. Then, we repeated each experiment using, both, Pure Simulation (PS) and OE approaches (now with MIMO and channel occupancy information) based on ns-3, also measuring the network throughput for the same set of experiments.</p> <p>To compare the network throughput of the real experiments with their PS and OE counterparts, Cumulative Distribution Function (CDF) curves were used, plotting all 1-second average throughput samples. For all the experiments performed in SIMBED+, using the improved OE approach resulted in network throughput considerably closer to real than using the PS approach. This is even more evident in non-controlled environments using MIMO and shared radio spectrum.</p> <p>These results were important for further validating the OE approach, producing two conference papers and one journal paper. The SIMBED+ results increased our confidence on the OE approach ability of reproducing past experiments, and are envisioned to foster the adoption of the OE approach by the networking community, in complement to the use of real experimentation.</p> <p> </p> <p>The following dataset presents the results of the SIMBED+ project, organized in different folders, for each subset of experiments carried on:</p> <ul> <li><strong><em>SubExp#1: </em></strong><em>Trace-based PHY rate with SISO support (802.11a, BW 20 MHz) </em></li> <li><strong><em>SubExp#2: </em></strong><em>Trace-based PHY rate with MIMO support (802.11n/ac, BW 20/40 MHz, MIMO 3x3) </em> <ul> <li><strong><em>SubExp#2.1: </em></strong><em>IEEE 802.</em><em>11n, 20 MHz, MIMO 3x3</em></li> <li><strong><em>SubExp#2.2: </em></strong><em>IEEE 802.</em><em>11n, 40 MHz, MIMO 3x3</em></li> <li><strong><em>SubExp#2.3: </em></strong><em>IEEE 802.</em><em>11ac, 40 MHz, MIMO 3x3</em></li> </ul> </li> <li><strong><em>SubExp#3: </em></strong><em>Shared radio spectrum support (occupancy at the sender)</em></li> <li><strong><em>SubExp#4: </em></strong><em>Shared radio spectrum support (occupancy at the receiver)</em></li> <li><strong><em>SubExp#5:</em></strong> <em>Trace-based PHY rate, MIMO and shared radio spectrum support</em></li> </ul> <p>Each experiment has an individual folder, named according to the date and time of the experiment and the nodes used. Inside, there’s a folder for the <strong>parsed</strong> experimental results, which contains</p> <p>This folder contains the details and parsed logs of the experiment, as follows:</p> <ul> <li><em>date_time</em><strong>.cfg </strong>– configuration details of the experiment</li> <li><em>date_time_NodeID<sup><a href="#_ftn1"><strong>[1]</strong></a></sup>_SenderID<sup><a href="#_ftn2"><strong>[2]</strong></a></sup>_ReceiverID<sup><a href="#_ftn3"><strong>[3]</strong></a></sup>_FlowType<sup><a href="#_ftn4"><strong>[4]</strong></a></sup>_Params<sup><a href="#_ftn5"><strong>[5]</strong></a></sup></em><strong>.snr </strong>– logs of the Signal/Noise ratio (1 file per node/flow) </li> <li><em>date_time_NodeID_SenderID_ReceiverID_FlowType_Params</em><strong>.stats</strong> – logs of the packets received (1 file per node/flow) </li> <li><em>NodeID</em><strong>.</strong><strong>waypoints</strong> – coordinates of the static nodes</li> <li><em>date_time_MobileNodeID</em><strong>.</strong><strong>waypoints</strong> – waypoints of the mobile nodes (when applicable)</li> </ul> <p>The experiment’s folder also contains a folder for the simulations <strong>output</strong> with the simulations statistics files, for the multiple simulations approaches considered, as follows:</p> <ul> <li><em>date_time_NodeID_SenderID_ReceiverID_FlowType_Params</em>.<strong>simstats </strong>– logs of the packets received (simulation)</li> </ul> <p> </p> <p><sub><a href="#_ftnref1">[1]</a> ID of the node Logging node</sub></p> <p><sub><a href="#_ftnref2">[2]</a> ID of the Sender node</sub></p> <p><sub><a href="#_ftnref3">[3]</a> ID of the Receiver node</sub></p> <p><sub><a href="#_ftnref4">[4]</a> Flow type: Unidirectional, Bidirectional or Unidirectional with Multiple Access</sub></p> <p><sub><a href="#_ftnref5">[5]</a> Configurable parameters: Sender/Receiver Transmission Power and Data Rate (when applicable)</sub></p>
Research data for dissertation 'Real-time Tomographic Reconstruction'
<p><br> This repository contains research data and software used for the research presented in the dissertation "Real-time tomographic reconstruction" by Jan-Willem Buurlage. Made permanently available as required by the research data policy of Leiden University.</p> <p><br> *<strong>Chapter 2</strong>*: A modern interface for BSP programs</p> <p>This chapter outlines the design and use of a new interface for bulk-synchronous parallel programs called Bulk. The 'chapter2/' directory programs contain source code for the three numerical experiments used to verify Bulk: a benchmarking program 'benchmark.cpp' that measures the BSP parameters, source code for the fast-fourier transform 'fft.cpp' and a comparison to a BSPlib implementation 'fft_bspedupack.cpp'. The Bulk library itself is also included.</p> <p><br> *<strong>Chapter 3</strong>*: Geometric partitioning for tomography</p> <p>This chapter describes a partitioning method that is based on the acquisition geometry underlying the tomographic system matrix, rather than the nonzero pattern. The main results are presented in four large tables, which can be generated using the programs implemented in 'chapter3/src/tableX.cpp'. The main dependency is the "TPT" which was developed alongside this research, and is also included in the directory. The tasks have high computational cost. The runtime measurements were performed on the Lisa supercomputer of SURFsara.</p> <p>The acquisition geometries used are represented in TOML files in 'data/geometries'.</p> <p><br> *<strong>Chapter 4</strong>*: A projection-based partitioning method</p> <p>This chapter describes a refinement of the previous method, that is based on a continuous model of the projections that make up the acquisition geometry. The programs used to generate the numerical results as well as most of the illustrations are contained in the directory 'chapter4/'. In particular (files relative to this directory):</p> <p>- Figure 4.3 and 4.4: generated by 'src/overlap.cpp'<br> - Figure 4.5: generaed by 'python/plot_partitioning_blender.py'<br> - Table 4.1 and 4.2: generated by 'src/grcb.cpp' and 'TPT/tools/generate_comvol_table.cpp'<br> - Figure 4.6: Generated by running 'Pleiades/src/reconstruct.cpp' on a GPU<br> cluster of 8 nodes with a 40 Gbit Mellanox Infiniband connection. Each node<br> has four NVIDIA GeForce GTX TITAN X GPUs, two Intel Xeon E5-2630 v3 CPUs<br> running at 2.40GHz, and 128GB RAM</p> <p>The acquisition geometries used are represented in TOML files in 'data/geometries', and were used as input to the programs above.</p> <p><br> *<strong>Chapter 5</strong>*: Real-time quasi-3D tomographic reconstruction</p> <p>This chapter describes a new reconstruction framework and software package based around the idea of reconstructing arbitrarily oriented slices that can be adjusted on the fly.</p> <p>- All results in the paper were generated directly using the RECAST3D software, and the code snippets are directly given as examples in the corresponding software folder.<br> - The benchmark results in Table 5.1 were produced on a node with two Intel Xeon E5-2623v3 processors, 128 GB RAM, and two dual-GPU NVIDIA GTX TITAN Z cards for a total of 4 GPUs with 6GB RAM each. To obtain these numbers, 'RECAST3D/slicerecon/src/slicerecon_server.cpp' should be run with a '--bench' flag.<br> - The data used for the experimental verification, presented in Figure 5.8, can be found at <https://doi.org/10.5281/zenodo.1154166>.</p> <p><br> *<strong>Chapter 6</strong>*: Application of quasi-3D reconstruction to synchrotron tomography</p> <p>This chapter describes an application of the RECAST3D software to synchrotron tomography. The results were generated using the RECAST3D software, as explained above. Adapters to make it work together with the GigaFRoST camera were written in Python, and a slightly modified version of RECAST3D was used for generating some of the results presented in the paper. Later, these changes were merged back into RECAST3D. The original code, which was used to generated some of the results shown in the chapter, is given in the Zipfile 'chapter6/tomcat-live-master.zip'.<br> </p>
Virtual cameras, avatars and real footage of a focus group staged in SQUIVE
<p>A 5-minute video clip can be found online which shows a 2D screen capture of the viewport of a user in SQUIVE (<em>Staging Qualitative Immersive Virtualisation Engine</em>) on a walking tour through the theatre site showing time-slices of the cohort of experimental subjects engaged in different activities across four rooms, for example briefing and dressing, contact dance preparation, exoskeleton performance and focus group. Animated avatars substitute for each participant and the reconstructed 3D scene is populated with virtual cameras that substitute for the actual cameras that recorded the event. Each virtual camera can be selected to re-view the reconstructed scene from the perspective of the actual 2D and 360° camera footage. Moreover, a user can launch AVA360VR (<em>Annotate, Visualise, Analyse 360° video in Virtual Reality</em>) from any virtual 360° camera, so that the user can annotate the clip recorded by any physical camera or microphone in the scene concurrently during the same time-slice.</p>
Hybrid-electric passenger car energy utilization and emissions: Relationships for real-world driving conditions that account for road grade
<p>Past research showed on-road emissions patterns unique to hybrid electric vehicles (HEVs), indicating the need to account for them in emissions models as projected HEV sales increase over the coming decades. This work defines and characterizes a variable that quantifies HEV operating behavior to inform future development of new HEV emissions models based on current knowledge of conventional vehicle (CV) emissions patterns. Instantaneous hybridization factor (IHF), was quantified using on-road data collected from a 2010 Toyota Camry HEV. IHF is the ratio of electric system power to total system power and accounts for energy storage in the high voltage battery (IHF ranges from −1 to +1). Relationships between IHF and vehicle specific power (VSP), road type and road grade were examined. Negative VSP resulted in regenerative braking operation (IHF = −0.01 to −1) 90% of the time. IHF identified the VSP range where HEV operation was highly variable (VSP = −1 to 8 kW/ton) when driving at speeds below the ICE-off threshold (42 mph). VSP and IHF together account for 76–86% of the variability in HEV CO<sub>2</sub> emissions in this study. CO<sub>2</sub> model results using VSP computed with the measured real-world road grade (R<sup>2</sup> = 0.86) gave improved fits over the no-grade VSP model (R<sup>2</sup> = 0.69). This study establishes one framework for calculating the instantaneous HEV power split, confirms the need to include road grade in VSP for accurate modeling of vehicle emissions, and identified the need for significant improvements in on-board diagnostic (OBD) scantool measurement requirements for HEVs in three areas: (1) temporal resolution (sub-second to capture transient events such as ICE restarts); (2) simultaneous data logging capability for multiple controller area networks (i.e., engine and HEV parameters together); and (3) improved data precision.</p>
Dataset of real-world WebXR bugs
<p>This is the released dataset of paper <em>An Exploratory Study of Bugs in Extended Reality Applications on the Web </em> to appear in ISSRE 2020.</p> <p>The "WebXR-Bugs-Dataset.zip" includes:</p> <p>(1) A WebXR bug dataset. The dataset contains 368 real bugs from 33 WebXR projects hosted on GitHub, with the final taxonomy with respect to their symptoms and root causes.</p> <p>(2) Materials of the manual analysis process of each round before the final taxonomy was built. The whole process contains 7 rounds.</p> <p>Our dataset is also released at this website: <a href="https://sites.google.com/view/webxr-bug-study/home">https://sites.google.com/view/webxr-bug-study/</a>.</p>
Idealista Real State property research
<p>Property price research in Oviedo Asturias, carried out with Selenium and Python</p>
Real_scenario_ShallowGeothermalSystems_Locarno
<p>Hydro/thermogeological model of Locarno city, southern Switzerland. 10 years simulation of the operation of installed shallow geothermal systems, both closed-loop and open-loop ones with a realistic scenario</p>
Open Social Scholarship, In Real Terms
<p>4<sup>th</sup> Lecture</p>
Real-time benchmark dynamics of the Ohmic Spin-Boson Model computed with Time-Dependent Variational Matrix Product States. (TDVMPS) coupling strength and temperature parameter space
<p>Data describing the complete propagators (maps) for the evolution of the Ohmic Spin-Boson Model are made available, here. Using a time-dependent variotnal matrix product states (TDVMPS) respresentation of the complete spin-environment wave function, non -perturbative results are presented over a wide range of coupling strengths, temperatures and initial conditions. The results in this repository are associated with the article: </p> <p>https://www.preprints.org/manuscript/202012.0016/v1 </p> <p>A mathematica notebook that allows the data to be visualised and manipulated is also provided. </p>
Digital Twin of 3D Printer in Real Time Mode
<p>Digital Twin operating in real-time mode. (Please note that the window on the top right of the video is from Repetier (3D Printing Application) and it was added as a visual guide on what the 3D printer was printing. It was not part of the study.</p>
Deep Reinforcement Learning for END-To-END Local Motion Planning of Autonomous Aerial Robots in Unknown Outdoor Environments: Real-Time Flight Experiments
<p> </p> <p>Videos for the real flight tests and the simulation experiments </p>
The Multi-Radar Multi-Sensor (MRMS) and the Stage IV rainfall products, and the aggregate forecast statistics for the three real case studies
<p>This is a data repository in support of the article "Impact of Assimilating High-Resolution Atmospheric Motion Vectors on Convective Scale Short-Term Forecasts. Part II: Assimilation Experiments of GOES-16 Satellite Derived Winds" submitted to AGU <em>J. of Advances in Modeling of Earth Systems. </em></p> <p>The data set consists of</p> <ul> <li>The Multi-Radar Multi-Sensor (MRMS) and the Stage IV rainfall products used for validation in the three real case studies.</li> <li>The aggregate forecast statistics for composite reflectivity and APCP for the three real case studies are contained in the zipped files.</li> </ul>
Risk factors for cardiovascular disease (CVD) in adults with type 1 diabetes: findings from prospective real-life T1D exchange registry
<p>Context</p> <p>Cardiovascular disease (CVD) is a major cause of mortality in adults with type 1 diabetes.</p> <p>Objective</p> <p>We prospectively evaluated CVD risk factors in a large, contemporary cohort of adults with type 1 diabetes living in the United States.</p> <p>Design</p> <p>Observational study of CVD and CVD risk factors over a median of 5.3 years.</p> <p>Setting</p> <p>The T1D Exchange clinic network.</p> <p>Patients</p> <p>Adults (age ≥18 years) with type 1 diabetes and without known CVD diagnosed before or at enrollment.</p> <p>Main Outcome Measure</p> <p>Associations between CVD risk factors and incident CVD were assessed by multivariable logistic regression.</p> <p>Results</p> <p>The study included 8,727 participants (53% female, 88% non-Hispanic white, median age 33 years [IQR=21, 48], type 1 diabetes duration 16 years [IQR=9, 26]). At enrollment, median HbA1c was 7.6% (66 mmol/mol) [IQR=6.9 (52), 8.6 (70)], 33% used a statin, and 37% used blood pressure medication. Over a mean follow-up of 4.6 years, 325 (3.7%) participants developed incident CVD. Ischemic heart disease was the most common CVD event. Increasing age, BMI, HbA1c, presence of hypertension and dyslipidemia, increasing duration of diabetes, and diabetic nephropathy were associated with increased risk for CVD. There were no significant gender differences in CVD risk.</p> <p>Conclusion</p> <p>HbA1c, hypertension, dyslipidemia and diabetic nephropathy are important risk factors for CVD in adults with type 1 diabetes. A longer follow-up is likely required to assess the impact of other traditional CVD risk factors on incident CVD in the current era.</p>
Garza real (Ardea cinerea)
**Ejemplar**: *Ardea cinerea* **Nombre común**: Garza real, agró blau, garsa, Graureiher cinerea, héron cendré, grey heron. **Descripción**: Cráneo con pico en forma de lanza que emplea a modo de arpón para capturar peces, anfibios, invertebrados, incluso pollos de otras aves. Especie muy oportunista. **Sigla museo, colección y entidad**: VER0000486. Colección del Dpto. de Zoología (Facultad Ciencias Biológicas). MUVHN. **Técnica digitalización/modelo**: escaneado superficial, escáner 3D Einscan Pro. **Software empleado**: einscan v3.1.0.2, modo manual con plataforma giratoria, calidad media. **Autor digitalización**: Natalia Conejero-Ortega. **Cita ejemplar**: modelo 3D Colección cráneos de aves del Dpto. de Zoología. Museo Universitat de València de Historia Natural (MUVHN).  VER0000065. Ejemplar taxidermizado. Colección Histórica de Aves (MUVHN). Sander's preparatorium Kolnarh, 1932 Source: Objaverse 1.0 / Sketchfab
Maqueta Viciana Vila-real
El núcleo primario de Vila-real, corresponde a la época medieval. Sigue el modelo de manzanas cuadriculares, más o menos ortogonales, articuladas sobre una cruz central, en el centro de la cual se abre una plaza. El eje principal de la cuadricula, formado por la calle Mayor, discurre de nordeste a sudoeste y configura el eje longitudinal del pueblo. Antiguamente comunicaba el portal de Castellón con el portal de Valencia. El eje transversal unía el portal de Onda con el portal del medio o Burriana. La maqueta reproduce la ciudad de Vila-real en el siglo XVI según grabado realizado por Rafael Martí de Viciana. Para su modelado se han tenido en cuenta además del dibujo de Viciana otros documentos sobre la villa o sobre otras ciudades en la misma época. Con el fin de darle importancia a los edificios que aparecen en la perspectiva de Viciana, se ha adulterado la escala de la planimetría original y se han obviado una gran cantidad de pequeñas casas de las que disfrutaría el municipio. Source: Objaverse 1.0 / Sketchfab
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.