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1,819 results for “Experimental data”
Generating FAIR Research Data in Experimental Tribology
<p><strong>Stream video at:</strong> <a href="http://youtu.be/xwCpRDnPFvs">https://youtu.be/xwCpRDnPFvs</a></p> <p>To assess the feasibility of producing FAIR data via the integration of a controlled vocabulary, an ontology, and an ELN, this dataset demonstrates the implementation of a tribological experiment while accounting for as many details as possible. The showcase experiment had a lubricated pin-on-disk arrangement, ran at 15 N normal load and a velocity range of 20 to 170 mm/s. With this dataset, we hope to provide a possible blueprint for FAIR data publication in experimental tribology.</p> <p><a href="http://www.nature.com/articles/s41597-022-01429-9">https://www.nature.com/articles/s41597-022-01429-9</a> - Garabedian, N.T., Schreiber, P.J., Brandt, N., Greiner, C., et al.</p> <p>Abstract: Generating FAIR research data in experimental tribology. Sci Data 9, 315 (2022). Digital solutions for the generation of FAIR (Findable, Accessible, Interoperable and Reusable) data and metadata in experimental tribology are currently lacking, despite the looming challenge of integrating cutting-edge data science techniques – a promising scientific route for any field that often relies on phenomenology and empiricism. Additionally, the broad interdisciplinarity of tribology is probably a main contributing factor for the lack of community-wide data and metadata standards, and the heavy reliance on custom workflows and equipment. This paper, first, outlines a sample framework for scalable generation of FAIR data, and second, delivers a showcase FAIR data package for a pin-on-disk tribological experiment. The resulting curated data, consisting of 2,008 key-value pairs and 1,696 logical axioms, is the result of (1) the close collaboration with developers of a virtual research environment, (2) crowd-sourced controlled vocabulary, (3) ontology building and (4) numerous – seemingly – small-scale digital tools. Thereby, this paper demonstrates a collection of scalable non-intrusive techniques that extend the life, reliability and reusability of experimental tribological data beyond typical publication practices.</p> <p><a href="https://doi.org/10.5281/zenodo.5720626">https://doi.org/10.5281/zenodo.5720626</a> - FAIR Data Package of a Tribological Showcase Pin-on-Disk Experiment</p> <p><a href="https://doi.org/10.5281/zenodo.5720198">https://doi.org/10.5281/zenodo.5720198</a> or <a href="https://github.com/nick-garabedian/TriboDataFAIR-Ontology">https://github.com/nick-garabedian/TriboDataFAIR-Ontology</a> or <a href="https://fairsharing.org/3597">https://fairsharing.org/3597</a> - TriboDataFAIR Ontology</p> <p><a href="https://doi.org/10.5281/zenodo.5720218">https://doi.org/10.5281/zenodo.5720218</a> or <a href="https://github.com/nick-garabedian/SurfTheOWL">https://github.com/nick-garabedian/SurfTheOWL</a> - SurfTheOWL</p> <p><a href="https://kadi4mat.iam-cms.kit.edu/">https://kadi4mat.iam-cms.kit.edu/</a> - Kadi4Mat Virtual Research Environment and Electronic Lab Notebook </p>
Experimental data and scripts used for the paper "Imperfect symmetry of real annular combustors: beating thermoacoustic modes and heteroclinic orbits"
<p>The folder contains the experimental data, the scripts an the instructions to generate the figures of the paper.</p>
Experimental data on the effects of an azimuthal mean flow on the (thermo)acoustic modes in the annular electroacoustic feedback setup at TU Berlin
<p>Experimental data obtained in the presence of an azimuthal mean flow on the acoustic/thermoacoustic response in the annular electroacoustic feedback setup at TU Berlin. This dataset was used for the published article<br> S. C. Humbert, J. P. Moeck, A. Orchini, C. O. Paschereit, "Effect of an Azimuthal Mean Flow on the Structure and Stability of Thermoacoustic Modes in an Annular Combustor Model With Electroacoustic Feedback", J. Eng. Gas Turbines Power. June 2021, 143(6): 061026. Experimental data as well as Matlab scripts to use them are provided. Useful information is contained in "readme" files.</p>
Data and Rscripts from: An integrated experimental and mathematical approach to inferring the role of food exploitation and interference interactions in shaping life history
<p><span>Intraspecific interactions can occur through many ways but the mechanisms can be broadly categorized as food exploitation and interference interactions. Identifying how intraspecific interactions impact life history is crucial to accurately predict how population density and structure influence dynamics. However, disentangling the effects of interference interactions from exploitation using experiments, is challenging for most biological systems.</span></p> <p><span>Here we propose an approach that combines experiments with modeling to infer the pathways of intraspecific interactions in a system. First, a consumer-resource model is built without intraspecific interactions. Then, the model is parameterized by fitting it to life-history data from a first experiment in which food abundance was varied. Next, hypothesized scenarios of intraspecific interactions are incorporated into the model which is then used to predict life histories with increasing competitor density. Lastly, model predictions are compared against data from a second experiment which raised groups of competitors of different densities. This comparison allows us to infer the role of interference and exploitation in shaping life history.</span></p> <p><span>We demonstrated the approach using the smaller tea tortrix <em>Adoxophyes honmai</em> across a range of temperature. We investigated five scenarios of interactions that included exploitation and three pathways for interference through some effects either on energetics to represent changes in ingestion or activity, or on mortality to model deadly interactions, or on mortality and ingestion to model cannibalism.</span></p> <p><span>Overall, intraspecific interactions in tea tortrix are best explained by a high level of deadly interactions along with some level of interference that acts on energy such as escaping and blocking access to food. Deadly interactions increase with temperature while interference that acts on energy is strongest close to the optimal temperature for reproduction. Interestingly, exploitation is more important than interference at low competitor density.</span></p> <p><span>The combination of mathematical modeling and experimentation allowed us to mechanistically characterize the intraspecific interactions in tea tortrix in a way that is readily incorporated into population-level mathematical models. The primary value of this approach, however, is that it can be applied to a much wider range of taxa than is possible with pure experimental approaches. </span></p>
Data from: Rapid-cycling Brassica rapa evolves even earlier flowering under experimental drought
<p><strong>Premise</strong></p> <p>Changes in climate can impose selection on populations and may lead to rapid evolution. One such climatic stress is drought, which plant populations may respond to with escape (rapid growth and early flowering) or avoidance (slow growth and efficient water use). However, it is unclear if drought escape would be a viable strategy for populations that already flower early from prior selection.</p> <p><strong>Methods</strong></p> <p>In an experimental evolution study, we subjected rapid-cycling <em>Brassica rapa</em> (RCBr), which was previously selected for early flowering, to four generations of experimental drought or watered conditions. We then grew ancestral and descendant populations concurrently under drought and watered conditions to assess evolution, plasticity, and adaptation.</p> <p><strong>Results</strong></p> <p>RCBr evolved under drought had earlier flowering and lower water-use efficiency than RCBr evolved under watered conditions, indicating evolutionary divergence. The drought descendants also had a trend of earlier flowering compared to ancestors, indicating evolution. Evolution of earlier flowering under drought followed the direction of selection and increased fitness, and was consistent with studies in natural and experimental populations of this species, suggesting adaptive evolution.</p> <p><strong>Conclusions</strong></p> <p>We found evidence for rapid adaptive evolution of drought escape in RCBr and little evidence for constraints on flowering, even though RCBr already flowers extremely early. Our results suggest that some populations may harbor sufficient genetic variation for evolution even after strong selection has occurred. Our study also illustrates the utility of combining artificial selection, experimental evolution, and the resurrection approach to study the evolution of functional traits.</p>
Problems Using Data Gloves with Strain Gauges to Measure Distal Interphalangeal Joints' Kinematics (Experimental data)
<p>Experimental data from <em>"Problems Using Data Gloves with Strain Gauges to Measure Distal Interphalangeal Joints’ Kinematics", </em>available in Sensors.</p> <p> </p> <p><strong>"PHASE I - STATIC POSTURES, FREE MOTION AND GRASPING TASKS.xlsx" </strong> contains raw data of CyberGlove data glove of 22DoF while performing experiments detailed in Phase I.</p> <p>Jonts labelled as in <a href="https://www.nature.com/articles/s41597-019-0175-6">Human hand kinematic data during feeding and cooking tasks</a>. </p> <p>Task order detailed in "PHASE I TASK ORDER.txt".</p> <p>Subjects' hand length detailed in "PHASE I SUBJECT DATA.txt".</p> <p> </p> <p><strong>"PHASE II - SOLLERMAN HAND FUNCTION TEST.xlsx" </strong> contains joint angles recorded using CyberGlove data glove of 22DoF while performing experiments detailed in Phase II.</p> <p>Jont angles and sign criteria considered as in <a href="https://www.nature.com/articles/s41597-019-0175-6">Human hand kinematic data during feeding and cooking tasks</a>.</p> <p>Subjects' hand length and laterality detailed in "PHASE II SUBJECT DATA.txt".</p> <p> </p> <p>For further information please contact authors (rodaa@uji.es).</p>
Experimental data: Inferring strategies from observations in long iterated prisoner's dilemma experiments
<p>While many theoretical studies have revealed the strategies that could lead to and maintain cooperation in the Iterated Prisoner's Dilemma, less is known about what human participants actually do in this game and how strategies change when being confronted with anonymous partners in each round. Previous attempts used short experiments, made different assumptions of possible strategies, and led to very different conclusions. We present here two long treatments that differ in the partner matching strategy used, i.e. fixed or shuffled partners. Here we use unsupervised methods to cluster the players based on their actions and then Hidden Markov Model to infer what are those strategies in each cluster. Analysis of the inferred strategies reveals that fixed partner interaction leads to a behavioral self-organization. Shuffled partners generate subgroups of strategies that remain entangled, apparently blocking the self-selection process that leads to fully cooperating participants in the fixed partner treatment. Analyzing the latter in more detail shows that AllC, AllD, TFT- and WSLS-like behavior can be observed. This study also reveals that long treatments are needed as experiments less than 25 rounds capture mostly the learning phase participants go through in these kinds of experiments.</p>
Lagrangian particles in turbulence: An experimental data set
<p>This data set contains the coordinates of Lagrangian trajectories in a quasi-homogeneous isotropic turbulent flow. The trajectories were measured in a water tank experiment using the 3D-PTV method through the MyPTV open-source software (https://github.com/ronshnapp/MyPTV). The total duration of this data set corresponds to 20 seconds of recording at a rate of 500 Hz, and it holds roughly 575,000 trajectories.</p> <p> <br> The data is stored in two text files in a tab-separated format, where each file coresponds to 10 seconds of recording. Each row in the files outlines a single measurement point from the experiment. The various columns correspond to the following information:<br> 1 - trajectory_id <br> 2 - x [mm] <br> 3 - y [mm]<br> 4 - z [mm]<br> 5 - vx [mm/frame]<br> 6 - vy [mm/frame]<br> 7 - vz [mm/frame]<br> 8 - ax [mm/frame^2]<br> 9 - ay [mm/frame^2]<br> 10 - az [mm/frame^2]<br> 11 - time [frame]<br> where trajectory_id uniquely marks samples that correspond to the same physical trajectory; x, y, and z are the position components in the three orthogonal space directions; vx, vy, and vz correspond to the velocity components; ax, ay, and az that correspond to the acceleration components.</p> <p><br> The flow in the experiment was forced using a system of 8 propellers, powered by DC motors that were positioned at the corners of the cylindrical, octagonally shaped, water tank. The propellers were changing their direction of rotation at random time intervals with an average interval duration of 0.1 seconds. The root mean square of the turbulent flow fluctuations is about 100 millimeters per second. There is a time-averaged secondary circulation with a magnitude of roughly 66% of the root mean squared fluctuation strength. The Taylor microscale Reynolds number is estimated as about 188. </p>
An experimental data set for analysis of the thermophysical behavior of a single-story mechanically ventilated double-skin façade (DSF) in fixed boundary conditions corresponding to winter/mid-season and summer cases
<p>Double-skin facades (DSFs) are dynamic and flexible building envelopes that employ a ventilated cavity to either prevent or reduce the solar-induced cooling load or exploit solar energy for passive solar heating. The mechanical ventilation of the cavity offers higher flexibility and control than natural ventilation, as the latter largely depends on stochastic and unpredictable external conditions. Furthermore, when mechanical ventilation rates are combined with the operation of a shading device, the possibilities for controlling the accumulated heat in the cavity of the DSF increase further. Therefore, this experimental campaign systematically investigates how these two important features interact in controlling the cavity's thermal load and airflow conditions. The measurement collected during the experiments constitutes a dataset that contains the results of a series of experimental runs where the different configurations of DSF, in terms of mechanical ventilation rate and venetian blinds, have been subjected to two representative boundary conditions through a climate simulator facility equipped with a solar simulator device. The full-scale DSF mock-up, which includes venetian blinds installed in a 200 mm ventilated cavity, is operated in this experiment in two modes: outdoor air curtain (OAC) and supply air (SA) mode. Tests were carried out under a steady-state regime with different boundary conditions. For the analysis of the utilization of the excess heat accumulated in the cavity and prevention of DSF overheating, boundary conditions corresponding to g-value calculations were selected. For the analysis of air preheating in the DSF cavity, the boundary conditions corresponding to late winter/mid-season weather (cold outdoor air and low-to-moderate solar irradiance) were chosen. The entire set of experimental data collected during the tests is made publicly available to enable the scientific community to access experimental data to further analyze this problem or for model validation purposes. The data set supplements the open-access paper entitled "<strong>Control of heat transfer in single-story mechanically ventilated facades</strong>" (<a href="https://doi.org/10.1016/j.enbuild.2022.112304">https://doi.org/10.1016/j.enbuild.2022.112304</a>), where additional information about the aims of the experiments, the detailed methods, and other data processing procedures can be found. The database is supported by a guide ("Guide.pdf"), where further explanations about how to read data and schematic drawings of the sensor layout are provided. The collection of experimental tests is divided into two files, according to two considered cases:</p> <ul> <li><strong>DSF operating in outdoor air curtain mode </strong>(24 steady-state measurements). The following factors were changed: mechanical ventilation rate (0, 10, 15, 20, 30, 40, 50, and 100 % of maximum fan power) and venetian blind configuration (closed θ=0 º, semi-open θ=45 º, and raised blinds). The outdoor and indoor temperatures, 30 ℃ and 25 ℃, and solar irradiance of 500 Wm<sup>-2</sup> were replicated. [file name: "Summer.csv"],</li> <li><strong>DSF operating in supply air mode</strong> (27 steady-state measurements). The following factors were changed: mechanical ventilation rate (0, 10, 15, 20, 30, 40, 50, 75, and 100 % of maximum fan power) and venetian blind configuration (closed θ=0 º, semi-open θ=45 º, and raised blinds). The outdoor and indoor temperatures, 10 ℃ and 25 ℃, and solar irradiance of 300 Wm<sup>-2</sup> were replicated. [file name: " Winter_MidSeason.csv"]</li> </ul> <p>Any inquiries about the experimental data can be sent to: <a href="mailto:aleksandar.jankovic@ntnu.no">aleksandar.jankovic@ntnu.no</a></p> <p>The activities presented in this paper were carried out within the research project "REsponsive, INtegrated, VENTilated - REINVENT – windows," supported by the Research Council of Norway through the research grant 262198, and the partners SINTEF, Hydro Extruded Solutions, Politecnico di Torino and Aalto University.</p>
EpiGraph experimental data for Madrid
<p>EpiGraph is an agent-based parallel simulator that performs realistic stochastic simulations of the propagation of the COVID-19 virus across wide geographic expanses. The current implementation of EpiGraph includes functionalities for modelling via a realistic interconnection network based on actual individual interactions extracted from social networks and demographical data. This network includes the characteristics of each individual, their relationships at work, school, home and during leisure time, and a transportation model which simulates the spatial dynamics of the virus’ propagation over-large scale areas.</p> <p>This dataset includes the data related to the scenarios of Comunidad de Madrid (Spain) as well the scripts for running the simulator, </p>
Experimental data collected during first-phase testing of the Ground CO2 Mapper
<p>The various Excel files included in this dataset report data from tests performed to assess the technical capabilities of the Ground CO2 Mapper, a newly developed tool that can be used to help reduce uncertainty in the mapping of geological or anthropogenic CO2 leakage from the ground surface. These files include data from a number of laboratory experiments as well as tests performed at a controlled release site and a natural site where geological CO2 is released over a large area. This dataset was used to create the various figures presented in the article "Development and testing of a rapid, sensitive, high-resolution tool to improve mapping of CO<sub>2</sub> leakage at the ground surface" by Graziani, Beaubien, Ciotoli and Bigi to be published in Applied Geochemistry.</p>
Data from: Experimental Investigation of Efficiency and Deposit Process Temperature during Multi-Layer Friction Surfacing
<p>This dataset contains the data for the publication "Experimental Investigation of Efficiency and Deposit Process Temperature during Multi-Layer Friction Surfacing"</p>
Numerical and experimental dataset for an air-cooled data center
<p>This dataset contains the<em> </em><em>underling data</em><em> </em>for the papers:</p> <p><em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Retrofitting of an air-cooled data center for energy efficiency, Case Studies in Thermal Engineering (2022), 36, 102228. <a href="https://doi.org/10.1016/j.csite.2022.102228">https://doi.org/10.1016/j.csite.2022.102228</a>.</em></p> <p><em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Numerical and experimental dataset for an air-cooled data center, </em><em>Data in Brief (2022).</em></p> <p>All cases were prepared using OpenFOAM 8 for the simulation of flow and thermal structures inside the data center for both previous and retrofitted designs.</p> <p> </p> <p><strong><a href="https://doi.org/10.1016/j.csite.2022.102228">data.tar.xz</a>: </strong>Temperature data obtained from the experimental studies conducted for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">experimentalScenarios.tar.xz:</a> </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures under the same thermal conditions as in the experimental studies for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">fictiousScenarios.tar.xz</a>: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures for a working scenario of 15.5 kW for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">postProcess.tar.xz</a>: </strong>Numerical results obtained from the validated numerical model.</p>
Experimental data for Distributed parametric model checking timed automata under non-Zenoness assumption
<p>This is the experimental data mentioned in the paper "Distributed parametric model checking timed automata under non-Zenoness assumption", published in FMSD (Formal Methods in System Design), 2022.</p> <p>Experiments were conducted using the distributed version of IMITATOR 2.9.2 (Butter Incaberry) on two Intel Xeon Silver 4114 at 2.2GHz (20 cores in total), and 96GiB of memory, running under Ubuntu 16.04 LTS 64-bit.</p>
Probabilistic Shaping: Experimental Optical Back-to-Back Data Set
<p>Data set containing experimental results on B2B operation of single-carrier probabilistic shaping optical signals spanning from net bit-rates of 200G to 250G.</p>
Single-Carrier: Experimental Optical Back-to-Back Data Set
<p>Data set containing experimental results on B2B operation of single-carrier optical signals spanning from net bit-rates of 200G (PM-16QAM) to 250G (PM-32QAM).</p>
FDHMF: Experimental Optical Back-to-Back Data Set
<p>Data set containing experimental results on B2B operation of FDHMF optical signals spanning from net bit-rates of 200G to 250G.</p>
FDHMF: Experimental Loop Recirculation Data Set - 200G
<p>Data set containing experimental results on the propagation of frequency-domain hybrid modulation formats (FDHMF) optical signals over pure silica core fiber (PSCF) inside a recirculating loop. The net bit-rate is fixed at 200G.</p>
Single-Carrier: Experimental Loop Recirculation Data Set - 250G
<p>Data set containing experimental results on the propagation of single-carrier optical signals over pure silica core fiber (PSCF) inside a recirculating loop. The net bit-rate is fixed at 250G (PM-16QAM).</p>
Single-Carrier: Experimental Loop Recirculation Data Set - 200G
<p>Data set containing experimental results on the propagation of single-carrier optical signals over pure silica core fiber (PSCF) inside a recirculating loop. The net bit-rate is fixed at 200G (PM-16QAM).</p>
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.