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77 results for “surface patterns”
Multi-Electrode Array with a Planar Surface for Cell Patterning by Microprinting_experimental dataset
<p>This file contains the raw unprocessed experimental data for the results published in Slavík et al., Multi-Electrode Array with a Planar Surface for Cell Patterning by Microprinting, Sensors 2019, 19(24), 5379. </p>
Data from: Enhancing the security of pattern unlock with surface EMG-based biometrics
Pattern unlock is a popular screen unlock scheme that protects the sensitive data and information stored in mobile devices from unauthorized access. However, it is also susceptible to various attacks, including guessing attacks, shoulder surfing attacks, smudge attacks, and side-channel attacks, which can achieve a high success rate in breaking the patterns. In this paper, we propose a new two-factor screen unlock scheme that incorporates surface electromyography (sEMG)-based biometrics with patterns for user authentication. sEMG signals are unique biometric traits suitable for person identification, which can greatly improve the security of pattern unlock. During a screen unlock session, sEMG signals are recorded when the user draws the pattern on the device screen. Time-domain features extracted from the recorded sEMG signals are then used as the input of a one-class classifier to identify the user is legitimate or not. We conducted an experiment involving 10 subjects to test the effectiveness of the proposed scheme. It is shown that the adopted time-domain sEMG features and one-class classifiers achieve good authentication performance in terms of the F 1 score and Half of Total Error Rate (HTER). The results demonstrate that the proposed scheme is a promising solution to enhance the security of pattern unlock.
Replication data and code for "The Spatiotemporal Pattern of Surface Ozone and Its Impact on Agricultural Productivity in China"
<p>This dataset contains code and data to replicate the results for "The Spatiotemporal Pattern of Surface Ozone and Its Impact on Agricultural Productivity in China" by Xiaoguang Chen, Jing Gao, Luoye Chen, Madhu Khanna, Binlei Gong, and Maximilian Auffhammer. </p><p> </p>
Data from: Sea-surface temperature pattern effects have slowed global warming and biased warming-based constraints on climate sensitivity
<p>The observed rate of global warming since the 1970s has been proposed as a strong constraint on equilibrium climate sensitivity (ECS) and transient climate response (TCR) – key metrics of the global climate response to greenhouse-gas forcing. Using CMIP5/6 models, we show that the inter-model relationship between warming and these climate sensitivity metrics (the basis for the constraint) arises from a similarity in transient and equilibrium warming patterns within the models, producing an effective climate sensitivity (EffCS) governing recent warming that is comparable to the value of ECS governing long-term warming under CO<sub>2</sub> forcing. However, CMIP5/6 historical simulations do not reproduce observed warming patterns. When driven by observed patterns, even high ECS models produce low EffCS values consistent with the observed global warming rate. The inability of CMIP5/6 models to reproduce observed warming patterns thus results in a bias in the modeled relationship between recent global warming and climate sensitivity. Correcting for this bias means that observed warming is consistent with wide ranges of ECS and TCR extending to higher values than previously recognized. These findings are corroborated by energy balance model simulations and coupled model (CESM1-CAM5) simulations that better replicate observed patterns via tropospheric wind nudging or Antarctic meltwater fluxes. Because CMIP5/6 models fail to simulate observed warming patterns, proposed warming-based constraints on ECS, TCR, and projected global warming are biased low. The results reinforce recent findings that the unique pattern of observed warming has slowed global-mean warming over recent decades, and that how the pattern will evolve in the future represents a major source of uncertainty in climate projections.</p>
Dataset used in the study "Residential buildings real estate values linked to summer surface thermal anomaly patterns and urban features: the Florence (Italy) case study."
<p>This dataset repository includes eight raster layers (Reference System EPSG:3035 - ETRS89-extended / LAEA Europe), used in the study "Residential buildings real estate values linked to summer surface thermal anomaly patterns and urban features: the Florence (Italy) case study", and obtained by the adaptation of analyses carried out by previous studies (Morabito et al., 2021; Guerri et al., 2021; 2022).</p> <p>Further information regarding the source, study period, and horizontal resolution is available in the attached text file. </p> <p> </p> <p><strong><em>References</em></strong></p> <p>Guerri, G., Crisci, A., Congedo, L., Munafò, M., Morabito, M., <strong>2022</strong>. A functional seasonal thermal hot-spot classification: Focus on industrial sites. Science of The Total Environment 806, 151383.<a href="http://https://doi.org/10.1016/j.scitotenv.2021.151383"> https://doi.org/10.1016/j.scitotenv.2021.151383</a>.</p> <p>Guerri, G., Crisci, A., Messeri, A., Congedo, L., Munafò, M., Morabito, M., <strong>2021</strong>. Thermal Summer Diurnal Hot-Spot Analysis: The Role of Local Urban Features Layers. Remote Sensing 13, 538. <a href="https://doi.org/10.3390/rs13030538">https://doi.org/10.3390/rs13030538</a>.</p> <p>Morabito, M., Crisci, A., Guerri, G., Messeri, A., Congedo, L., Munafò, M., <strong>2021</strong>. Surface Urban Heat Islands in Italian Metropolitan Cities: Tree Cover and Impervious Surface Influences. Science of The Total Environment 751, 142334. <a href="https://doi.org/10.1016/j.scitotenv.2020.142334">https://doi.org/10.1016/j.scitotenv.2020.142334</a>.</p>
Surface temperature pattern scenarios suggest larger rates of warming than projected [DATA]
<p>Data for global-mean temperature projections and global-mean radiative feedback projections. See PDF for file description.</p>
Data from: Enhancing the security of pattern unlock with surface EMG-based biometrics
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Data from: Sea-surface temperature pattern effects have slowed global warming and biased warming-based constraints on climate sensitivity
Open the record for dataset details and reuse information.
Changes in dive patterns of leatherback turtles with sea surface temperature and potential foraging habitats
<p>Marine mesotherms are able to occupy broader thermal niches than ectotherms; however, this means they must exhibit greater tolerance to diverse environmental conditions across the ocean. Knowledge remains limited about how differences in environmental conditions within occupied habitats affect the bioenergetics of mesotherms and associated ecological traits. Here, we report that leatherback turtles (<i>Dermochelys coriacea</i>) migrating across the North Pacific changed their dive behavior regionally, possibly in response to changes in sea surface temperature and prey abundance. Our results demonstrate that dives became deeper when the surface water was warmer, presumably because leatherbacks dive to deep cold waters to avoid overheating. Moreover, the patterns of presumed foraging dives indicate that leatherbacks engage in behavioral thermoregulation in warmer foraging regions, which perhaps limit the time available for foraging activity. In contrast, mesothermy allows leatherbacks to spend more time foraging in cool-temperate regions. However, it might not produce greater reproductive output due to additional migration cost to these areas, which are more distant from their nesting beaches. Our results highlight that mesothermy might not provide a direct fitness advantage to all individual leatherback turtles; rather, it affords a species-level fitness advantage by allowing a greater diversity of habitats to be utilized.</p>
Pernambuco State, Brazil (MZSP 30975). Fig. 1: ventral, lateral & dorsal views; Fig. 2: apical view, V = varix, L = edge of outer lip. Figs. 3–4: paratype from the type lot (MZSP 122078). Fig. 3: ventral view; Fig. 4: apical view (varix not developed in this immature specimen). Figs. 5–6: shell surface SEM images of holotype (MZSP 30975). Fig. 5: image taken at 500x showing pattern of paired grooves separated by wider region; the thin line is parallel to the axis of shell. Fig. 6: a closer look showing pattern of punctae (1,000x). SEM images by Yolanda Villacampa and courtesy of the Smithsonian. in Taxonomic review of tropical western Atlantic shallow water Drilliidae (Mollusca: Gastropoda: Conoidea) including descriptions of 100 new species
Pernambuco State, Brazil (MZSP 30975). Fig. 1: ventral, lateral & dorsal views; Fig. 2: apical view, V = varix, L = edge of outer lip. Figs. 3–4: paratype from the type lot (MZSP 122078). Fig. 3: ventral view; Fig. 4: apical view (varix not developed in this immature specimen). Figs. 5–6: shell surface SEM images of holotype (MZSP 30975). Fig. 5: image taken at 500x showing pattern of paired grooves separated by wider region; the thin line is parallel to the axis of shell. Fig. 6: a closer look showing pattern of punctae (1,000x). SEM images by Yolanda Villacampa and courtesy of the Smithsonian.
dorsal side of d. f – h, XX 34 - 298. f, Close-up of closed mouth with radial folds and oral protrusions in Fig. 2 f. g, Two sub-layers of the integument on the second, right body cone (Rbc 2) with radial ribs in Fig. 2 g. h, Chevron pattern on integument surface. in Meiofaunal deuterostomes from the basal Cambrian of Shaanxi (China)
dorsal side of d. f – h, XX 34 - 298. f, Close-up of closed mouth with radial folds and oral protrusions in Fig. 2 f. g, Two sub-layers of the integument on the second, right body cone (Rbc 2) with radial ribs in Fig. 2 g. h, Chevron pattern on integument surface.
Record low Arctic sea ice extent in 2012 linked to two-year La Niña-driven sea surface temperature pattern
<p class="Abstract"><span>Arctic summer sea ice decline accelerated from the mid-2000s to 2012, with the 2012 record low remaining unbroken. While frequent La Niña events during this period have been suggested as a driver of this trend acceleration, no convincing evidence has been presented. Here, using a climate model nudged to observed pan-tropical sea surface temperatures (SST), we show that the back-to-back La Niña events during 2010–2011, followed by a North Pacific cooling and a marginal El Niño, were a key contribution to the 2012 record low. Specifically, the La Niña events in 2010–2011 warmed the Arctic Pacific sector, whereas tropical SST anomalies in 2012 strengthened the Greenland high pressure, leading to an Arctic dipole-like pressure pattern and strengthening of transpolar ice drift. These Arctic temperature and circulation anomalies led to the record low sea ice extent in 2012, highlighting the strong influence of tropical SSTs on Arctic climate.</span></p>
Raking the ocean surface : new patterns of coordinated motion in seabirds
Coordinated movements of seabirds exploiting a prey patch are known to increase prey encounter and capture rates of individuals. These behaviours, based on effective cooperation between seabirds, have only been reported at small scale, i.e. the scale of the prey patch. However, the efficient prey exploitation by seabirds in vast oceans require larger scale processes such as information transfers between individuals. Indeed, information transfers between foraging seabirds (e.g. changes in behaviour) reduce their search cost while increasing their prey encounter rate. Whether or not these information transfer processes imply active cooperation is unknown. Using images from fishing boat radars in the eastern tropical Atlantic, we show the existence of frequent medium-scale patterns of coordinated flights of seabird groups, consisting in seabird fronts ("rake" patterns) of 0.3 to 4.4 km width, displacing cohesively over 1.2 to 10.6 km and lasting between 2 and 19 min. For these rakes to be maintained, seabird groups have to adjust their flight speeds and directions, while they are on average distant of 500 m from each other, what cannot occur by chance. These findings suggest the existence of collective and coordinated movements in seabirds during prey searching at several kilometres' scale. This potential cooperation between foraging seabird groups brings new insight in the evolutionary trajectories of seabirds life-style.
Expression Pattern of the Pneumocystis jirovecii Major Surface Glycoprotein Superfamily in Patients with Pneumonia
<p>Data set and description analyses for manuscript Schmid-Siegert et al. 2021 Journal of Infectious diseases.</p>
Supporting data for ''Sea surface warming patterns drive hydrological sensitivity uncertainties"
<p>Supporting data for our work on Nature Climate Change. You will find:</p> <p> - Integrated desired fireds from the CAM5 patch experiments,</p> <p> - Post-processed data from CMIP5 and CMIP6 models,</p> <p> - python codes for generating the plots in the manuscript.</p>
Patterns and drivers of soil surface-dwelling Oribatida diversity along an altitudinal gradient on the Changbai Mountain, China
<p>Distribution patterns of biodiversity and environmental interactions are dominant themes in ecology. In montane ecosystems, biodiversity is closely associated with altitudinal gradients. However, studies of biodiversity in montane ecosystems is focused on plants and vertebrates, with relatively less on invertebrates. Here, the present study used a Vortis arthropod suction sampler to explore the biodiversity patterns of soil surface-dwelling Oribatida and their drivers along an altitudinal gradient (600 m, 800 m, 1600 m, 2000 m, and 2300 m) from typically temperate forests, evergreen coniferous forests, subalpine birch forests to alpine tundra on the north slope of Changbai Mountain, Northeast China. <em>Trichoribates berlesei, Platynothrus peltifer,</em> and <em>Oribatula tibialis</em> were the dominant soil surface-dwelling species on Changbai Mountain. Generally, alpha diversity and beta diversity of soil surface-dwelling Oribatida decreased with the rising altitude, with a peaking density value at 2000 m. The result of beta diversity showed that the structuring of the community was more influenced by the species turnover component than the nestedness component. Non-metric multidimensional scaling (NMDS) ordination showed that the community structure of soil surface-dwelling Oribatida varied significantly along the altitudinal gradient. The variance partitioning showed that the elevation and climatic conditions determined the soil surface-dwelling Oribatida community. Spatial filtering represented by geographic and elevation distances was particularly associated with soil surface-dwelling Oribatida community variation between altitudes on Changbai Mountain. However, the variation of the Oribatida community between adjacent altitudes was only associated with geographic distance. Our study provides supportive evidence for the biodiversity analyzing of soil surface-dwelling Oribatida in montane ecosystems along an altitudinal gradient.</p>
Raking the ocean surface : new patterns of coordinated motion in seabirds
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Record low Arctic sea ice extent in 2012 linked to two-year La Niña-driven sea surface temperature pattern
Open the record for dataset details and reuse information.
Changes in dive patterns of leatherback turtles with sea surface temperature and potential foraging habitats
Open the record for dataset details and reuse information.
Patterns and drivers of soil surface-dwelling Oribatida diversity along an altitudinal gradient on the Changbai Mountain, China
Open the record for dataset details and reuse information.
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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.