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380 results for “Pressure Data”
PID4TC (Pressure Insoles Data for Task Classification)
<p>The dataset contains pressure insole data from twenty subjects who performed five tasks, comprising of two common daily activities (standing and walking), and three industry-focussed tasks (manual handling, assembly and pick and place). The speed and order in which a given task was completed was not prescribed. The data pertains to the areas of human factors, ergonomics and occupational health and safety research, among others, and enables an understanding of the force distributions involved in common tasks as well as physical and manufacturing type tasks.</p> <p>This work is licensed under the Creative Commons Attribution 4.0 International License. If you are using our database to evaluate your methods, please cite:</p> <p>O’Sullivan, P., Menolotto, M., Visentin, A., O’Flynn, B. and Komaris, D.S., 2024. AI-based Task Classification with Pressure Insoles for Occupational Safety. IEEE Access.</p>
Evaluating a poroelastic model via pore pressure signals in seafloor sediments [data set]
<p>The csv files consist of pressure data collected off the coast of Camp Pendleton between 10 February 2021 and 25 February 2021, and include both pore pressure data from two instrumented surrogates and pressure data from a Nortek Signature. Timestamps are in posix time; pressure is in kPa. The time series for Surrogate A are prefixed "surrA"; those for Surrogate B are prefixed "surrB". The Nortek Signature time series is prefixed "Sig1000".</p>
Data repository for Pore Pressure Drop during Dynamic Rupture and Conditions for Dilatancy Hardening
<p>Simulation data to accompany publication Pore pressure drop during dynamic rupture and conditions for dilatancy hardening, submitted to Journal of Geophysical Research: Solid Earth. See Readme.txt for content of data files. The data were generated by 'GrandFrix' software and postprocessed by scripts written MATLAB – see Related identifiers.</p>
Evaluating a Kinematic Data Glove with Pressure Sensors to Automatically Differentiate Free Motion from Product Manipulation (Experimental Data)
<p>Experimental data from <em>"Evaluating a kinematic data glove with pressure sensors to automatically differentiate free motion from product manipulation", </em>available at Applied Sciences.</p> <p>"DATA.zip" contains raw data collected using VMG30 and CyberGlove data gloves, in txt format. </p> <p>For further information please see the details in the manuscript or contact the corresponding author Alba Roda-Sales (rodaa@uji.es).</p>
Data for: Differences in mucilage properties and stomatal sensitivity of locally adapted Zea mays in relation with precipitation seasonality and vapour pressure deficit regime of their native environment
<p>Dataset PlantDirect published manuscript:</p> <p>Berauer <em>et al.</em> (2023) - Differences in mucilage properties and stomatal sensitivity of locally adapted Zea mays in relation with precipitation seasonality and vapour pressure deficit regime of their native environment</p> <p>Article DOI: <em><strong>10.1002/pld3.519</strong></em></p> <p> </p> <p>All data is provided within one excel file. Please, pay attention to the provided ReadMe sheet for information on the dataset.</p>
Data from: Unwrapping broken tails: Biological and environmental correlates of predation pressure in limbless reptiles
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Data from: Earlier flowering of winter oilseed rape compensates for higher pest pressure in warmer climates
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Data for: Surviving the serenade: how conflicting selection pressures shape the early stages of sexual signal diversification
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Data from: Ecological and social pressures interfere with homeostatic sleep regulation in the wild
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Data from: A theoretical framework to quantify ecosystem pressure-volume relationships
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Raw diffraction data for [NiFeSe] hydrogenase pressurized with Kr gas - dataset wtKr1A
<p>Diffraction data measured at ESRF beamline ID29 on October 2, 2017.</p> <p>Image files are uploaded in blocks of gzip-compressed cbf files.</p> <p> </p>
Raw diffraction data for [NiFeSe] hydrogenase pressurized with Kr gas - dataset wtKr1
<p>Diffraction data measured at ESRF beamline ID30A-3 on September 27, 2017.</p>
Raw diffraction data for [NiFeSe] hydrogenase G491S variant pressurized with O2 gas - dataset G491S-O2
<p>Diffraction data measured at ESRF beamline ID29 on October 2, 2017.</p> <p>Image files are uploaded as blocks of cbf files in gzip-compressed tar files.</p>
Raw diffraction data for [NiFeSe] hydrogenase G491A variant pressurized with O2 gas - dataset G491A-O2-HD
<p>Diffraction data measured at ESRF beamline ID30B on April 8, 2018.</p> <p>Image files are uploaded in blocks of gzip-compressed cbf files.</p>
Data for the paper "An Inversion Algorithm for Deriving Shallow Structure using Co-located Wind, Pressure, and Seismic Data"
<p>Wind, pressure, and seismic data used in the paper "An Inversion Algorithm for Deriving Shallow Structure using Co-located Wind, Pressure, and Seismic Data"</p>
Data from "The notion of calorific pressure and its possibleimplications on Body Mass Index in the canton of Geneva"
<p>-------------------------------------------------<br> Science et Ingénierie de l'Environnement (SIE)<br> Bâtiment GR<br> EPFL ENAC SSIE-GE<br> CH-1015 Lausanne<br> *<br> *<br> ------------------------------------------------.<br> *<br> *<br> "Calpres_BMI_Income_Group.csv" contains the data used in the study entitled:<br> "Relations between access to sport and green spaces and Body Mass Index in the canton of Geneva", <br> (C. El Khoury,Y. Frischholz, B. Heutte, V. Remy, M. Schornoz, 2020)<br> *<br> *<br> -------------------------------------------------<br> *<br> *<br> Variables : Description [unit]<br> *<br> codbar : Participant's ID [-]<br> E_Home, N_HOME : Coordinates of participants residence (LV03) [m]<br> E_Work, N_Work : Coordinates of participants residence (LV03) [m]<br> Home_FFcount : Fast-Food count around home buffers<br> Work_FFcounts : Fast-Food count around work buggers<br> Hubs_FFcounts : Fast-Food count around hubs (closest TP stop to work)<br> cal_pres : Resulting calorific pressure<br> cat : Category participants belong to according to data set separating criteria<br> BMI_randorder : Values of BMI used in a randomized order for confidentiality reasons [kg/m2]<br> *<br> *<br> -------------------------------------------------</p>
Pressure and Inertial sensing drifter data for glacial hydrology flow path.
<p>Raw data for paper titled 'Topology and pressure distribution reconstruction of an englacial channel'</p> <p>The dataset consists of field measurements conducted on Austre Brøggerbreen, Ny-Ålesund, Svalbard. The dataset consists of:</p> <p>(1)Raw englacial data (6 deployments), 2019; (2) Raw supraglacial data (11 deployments), 2019; (3) Average GNSS drifter path along the supraglacial channel, 2019; (4) GNSS drifter path along the englacial channel, 2020; (5) Englacial river mapped from a satellite image.</p> <p>The experimental work was conducted between 30.06.2019 and 05.07.2019, during the period of the main spring snow melt. All drifters were recovered by hand from the river.</p>
Data from: Experimental study of shear and hydraulic bonding strength between casing and cement under complex temperature and pressure conditions
The cement sheath plays a vital role in preventing gas channelling. It is important to understand the interfacial bonding between the casing and cement sheath when the downhole temperature and pressure change. This paper demonstrates the results of an experimental study to investigate the effect of high-temperature and high-pressure (HTHP) and their variations on the cement sheath interfacial bonding strength (CSIBS). An experimental device was developed that is used to test the shear and hydraulic bonding strength with the method of uniaxial compression and gas channelling. The results show that both temperature and pressure have a significant influence on the CSIBS. As the curing temperature increases with a constant curing time or as the curing time increases with a constant curing temperature, the CSIBS first increases and then converges to a stable value. The casing roughness has a crucial effect on the shear bonding strength but little effect on the hydraulic bonding strength. Though the CSIBS decreases obviously with the decrease in temperature, it undergoes little change when the temperature first increases and then recovers to the initial value. When the internal casing pressure decreases to a certain value or first increases to a certain value followed by recovery to the initial state, the hydraulic bonding strength tends to be 0 MPa, which means that the interface undergoes debonding between the casing and cement.
Data from: Latitudinal patterns of herbivore pressure in a temperate herb support the biotic interactions hypothesis
The longstanding biotic interactions hypothesis predicts that herbivore pressure declines with latitude, but the evidence is mixed. To address gaps in previous studies, we measured herbivory and defense in the same system, quantified defense with bioassays, and considered effects of leaf age. We quantified herbivory and defense of young and mature leaves along a continental gradient in eastern North America in the native herb Phytolacca americana. Herbivory in the field declined with latitude and was strongly correlated with Lepidopteran abundance. Laboratory bioassays revealed that leaf palatability was positively correlated with latitude of origin. Young leaves were more damaged than mature leaves at lower latitudes in the field, but less palatable in bioassays. Both defense and palatability displayed non-linear latitudinal patterns, suggesting potential mechanisms based on biological or climatic thresholds. In sum, observational and experimental studies find patterns consistent with high herbivore pressure and stronger plant defenses at lower latitudes.
Data from: Propagule pressure and genetic diversity enhance colonization by a ruderal species: a multi-generation field experiment
Colonization is a critical filter, setting the stage for short-term and long-term population success. Increased propagule pressure (e.g., more founding individuals) usually enhances colonization; however, this pattern may be driven by purely numeric effects, population genetic diversity effects, or both. To determine the independent and interactive effects of propagule pressure and genetic diversity, we conducted a seed addition experiment in the field using the ruderal annual Arabidopsis thaliana. Propagule pressure treatments spanned five levels, from 32 to 960 seeds per 0.25-m2 plot. Founder populations were composed of one, four or eight genotypes and exposed to ambient or reduced levels of interspecific competition. Genotype monocultures were included to quantify additive versus non-additive effects. Populations were followed for three generations, with abundance, population persistence and genotype retention (the proportion of introduced genotypes persisting over time) as the major response variables. Increased propagule pressure enhanced abundance immediately following introduction, particularly where nutrient availability was high and competition reduced. Greater propagule pressure also increased the likelihood of population persistence and genotype retention through three generations. However, most populations experienced rapid abundance declines over time, yielding no relationship between propagule pressure and third-generation abundance across persisting populations. Under reduced competition, increased genetic diversity led to a marginal increase in persistence through the third generation that was more pronounced, and statistically significant, in low nutrient conditions. Genetic diversity did not affect persistence through the first generation, thus indicating that genetic diversity effects strengthened over time. Nevertheless, genotypic mixture populations fell short of expectations based on performance in monocultures (negative non-additive effects). Increased genetic diversity was also associated with abundance declines, largely due to one particularly high-performing genotype in the lowest diversity treatments (i.e, genotypic identity effects). Overall, our results indicate that increases in both propagule pressure and genetic diversity can enhance colonization success but are highly context-dependent. They also highlight novel ways in which both factors can impact the retention of introduced genetic diversity over time. Our findings pinpoint the determinants of a fundamental population process and have key implications for applications where enhanced or suppressed colonization is desired, including ecological restoration and invasive species management.
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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.