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2,731 results for “barriers”
Figure 3 in Management of invasive, plague-carrying signal crayfish by physical exclusion barriers
Figure 3. Discharge of the Bottwar stream (blue line) since construction of the barriers (daily means measured in the lower course of the stream, obtained from the "Umweltinformationssystem (UIS) der LUBW Landesanstalt für Umwelt Baden-Württemberg"). The horizontal hatched line corresponds to the stream discharge at which the 1st, flow-based barrier (B1) was effective to exclude signal crayfish during the in-situ assessment of barrier efficacy (date highlighted by vertical line). The red ticks beside the time axis indicate days with a stream discharge lower than 0.95 x this threshold, i.e., conditions at which barrier functionality has been presumably compromised by low stream flow. Please note the marked increase in duration and intensity of extreme low-flow conditions since 2018.
Figure 2 in Management of invasive, plague-carrying signal crayfish by physical exclusion barriers
Figure 2. Distribution of native and invasive crayfish species in the study area from 2011 to 2020, as indicated by monitoring data of the Fisheries Research Station (2011–2014) and the intensive crayfish surveys in 2017 and 2020 (this study; Table S2 and Figure S2). The signal crayfish distribution prior to 2013 remains unknown, as indicated by the question mark in the top left panel. Dots represent the exclusion barriers implemented in 2014 (numbered in direction of upstream signal crayfish spread; fill color indicates barrier functionality with pink = flow-based and yellow = waterfall-based). Detail maps in the lower panels show the fine-scale signal crayfish distribution at B1.
Figure 1 in Management of invasive, plague-carrying signal crayfish by physical exclusion barriers
Figure 1. Overview of the study area and the known crayfish distribution in 2014 (A, B), and location and pictures of the three exclusion barriers (modified pipe culverts; panel C; please note the rotated map); fill color indicates barrier functionality with pink = flow-based and yellow = waterfall-based barriers. Blue arrows indicate the direction of stream flow. The red arrow in A denotes the study area.
The effects of increased thermal insulation in timber-framed external walls with thin gypsum board as a wind barrier - Dataset
<p>This dataset includes measured data from the field measurement of four timber-framed exterior wall constructions. All the walls were equipped with gypsum board wind barrier having a minimal thermal resistance. Insulation thicknesses of 150 mm and 300 mm, demonstrating a moderate and a very effective levels of thermal insulation, were compared. Wooden cladding and brick veneer were compared as façade materials.</p> <p>Measurements were done in a test building of Tampere University, Tampere, Finland. The coordinates of the campus are 61°27' N, 23°52’ E. Ground height at test building site is approximately 135 m above sea level. The site is rather protected area, with the modest wind and driving rain load. </p> <p>The test was performed between 13 September 2020 and 30 November 2021. </p> <p> </p>
02. Quantum dot tunneling through single low barrier
<p>02. Quantum dot tunneling through single low barrier</p> <p>In this video Visualization of Quantum dot tunneling with light packet is performed with single low barrier. Quantum dot passes through the single low barrier.</p>
01. Quantum dot tunneling through single high barrier
<p>01. Quantum Dot Tunneling High Barrier</p> <p>In this video Visualization of Quantum dot tunneling with light packet is performed with single high barrier. Quantum dot gets back and does not passes through the barrier.</p>
Figure 9 in Human-wildlife conflict as a barrier to large carnivore management and conservation in Turkey
Figure 9. Responses by occupation for the question "Does the wild animal you see harm you?" as part of a human opinion survey conducted in 2010 and 2014 in villages surrounding the Sarıkamış-Allahuekber Mountains National Park in eastern Turkey. Results are pooled across years.
Figure 12 in Human-wildlife conflict as a barrier to large carnivore management and conservation in Turkey
Figure 12. Previous knowledge of wildlife ecotourism and desire to participate in future opportunities of survey respondents to a human opinion survey conducted in 2010 and 2014 in villages surrounding the Sarıkamış-Allahuekber Mountains National Park in eastern Turkey. Results are pooled across the two survey years.
Figure 6 in Human-wildlife conflict as a barrier to large carnivore management and conservation in Turkey
Figure 6. Responses by survey year for the question "Does the wild animal you see harm you?" as part of a human opinion survey conducted in 2006, 2010, and 2014 in villages surrounding the Sarıkamış-Allahuekber Mountains National Park in eastern Turkey.
Figure 7 in Human-wildlife conflict as a barrier to large carnivore management and conservation in Turkey
Figure 7. Property damage from wildlife experienced by survey respondents to a human opinion survey conducted in 2006, 2010, and 2014 in villages surrounding the Sarıkamış-Allahuekber Mountains National Park in eastern Turkey. Results are pooled across years.
Fig. 1 in Assessment of barrier materials to protect plants from Florida leatherleaf slug (Mollusca: Gastropoda: Veronicellidae)
Fig. 1. Diagram of barrier and soil moisture evaluation arena. Slugs were inoculated onto moist soil in region "a," and could access a leaf disc on moist soil in region "c" afer traversing region "b" that contained wet or dry soil that was either with or without physical 'barrier' material. The circles represent a small plastic Petri dish within a larger Petri dish; the walls of dishes preserved the integrity of the soil moisture treatments.
Data for the publication "MgB2Se4 Spinels (B = Sc, Y, Er, Tm) as Potential Mg-Ion Solid Electrolytes – Partial Ionic Conductivity and the Ion Migration Barrier"
<h1><strong>Description Datasets</strong></h1> <p>Datasets are obtained from X-ray diffraction (XRD), Rietveld analysis, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM), nuclear magnetic resonance (NMR) spectroscopy, electrochemical impedance spectroscopy (EIS), chronoamperometry (CA), chronopotentiometry (CP) and linear sweep voltammetry (LSV).</p> <h1><strong>Abstract</strong></h1> <p>The magnesium chalcogenide spinel MgSc~2~Se~4~ with high Mg-ion room-temperature conductivity has recently attracted interest as solid electrolyte for magnesium ion batteries. Its ionic/electronic mixed-conducting nature and the influence of the spinel composition on the conductivity and Mg^2+^ migration barrier are yet not well understood. Here, results from a combined experimental and computational study on four MgB~2~Se~4~ spinels (B = Sc, Y, Er, Tm) are presented. The room-temperature ionic conductivities (<em>σ</em>~ion~ = 2x10^–5^–7x10^–5^ S cm^–1^) of the spinels are accurately measured, as electron transport is effectively suppressed by purely Mg-ion conducting electrode interlayers. Using the same approach, reversible Mg plating/stripping as well as good electrochemical stability are achieved. Driven by the good accordance of the computationally and experimentally obtained Mg^2+^ migration barriers <em>E</em>~a~(th) and <em>E</em>~a~, respectively, further periodic density functional calculations are performed on the MgB~2~Se~4~ spinel system, revealing the role of trigonal distortion on the migration path geometry and <em>E</em>~a~(th). These findings provide deeper understanding how to reach small Mg^2+^ migration barriers <em>E</em>~a~ in the MgB~2~Se~4~ spinels.</p>
Fig. 2 in A physical barrier reduces capture of Euschistus servus (Hemiptera: Pentatomidae) in pheromone-baited traps near peach trees
Fig. 2. Capture of adult Euschistus servus in pheromone-baited traps placed near peach trees when the trap occurred within the enclosure formed by a 3.7-m-tall physical barrier around the peach tree, or when there was no barrier around the tree: (A) 2014 and (B) 2015.
Fig. 1. A 3.7 in A physical barrier reduces capture of Euschistus servus (Hemiptera: Pentatomidae) in pheromone-baited traps near peach trees
Fig. 1. A 3.7 × 3.7 × 3.7 m fence was erected around a peach tree to determine if this physical barrier would reduce adult Euschistus servus from reaching a pheromone-baited trap placed inside the enclosure near the tree.
Data archive for 'Convolutional neural networks facilitate river barrier detection and evidence severe habitat fragmentation in the Mekong River biodiversity hotspot'
<p>This repository contains the code and databases used in the paper 'Convolutional neural networks facilitate river barrier detection and evidence severe habitat fragmentation in the Mekong River biodiversity hotspot'. </p> <p>The 'Mekong River Barrier Database (MRBD)' folder contains the basin-scale barrier database developed in this study. This database contains more than 13,000 unique barriers, which were identified by using the convolutional neural networks-based object detection method from Google Earth’s satellite imagery.</p> <p>The 'FCOS' folder contains the barrier detection model (FCOS ResNext-101-FPN), trained for detecting river barriers from remotely sensed images within the MMDetection framework. The 'FCOS_x101_v2' folder contains the enhanced FCOS model.</p> <p>The 'R_script' folder contains R files used in the paper. Coordinate.R was used to extract coordinates from bounding boxes in each TIF image. CAFI.R was used to calculate the CAFI index in each sub-catchment.</p> <p>The 'Barrier image training set' folder contains over 10,000 river barrier satellite images and their associated JSON files, forming the 'training, validation, and test datasets' used during the model training process. This dataset is made available to the user community in raw, in the hope that others will contribute to its future development, thereby enhancing its use and utility.</p> <p>For more information on the MMDetection framework, refer to the following GitHub repository: <a href="https://github.com/open-mmlab/mmdetection">https://github.com/open-mmlab/mmdetection</a></p>
Real-time monitoring of a 3D blood-brain barrier model maturation and integrity with a sensorized microfluidic device
<p><span>A significant challenge in the treatment of central nervous system (CNS) disorders is represented by the presence of the blood-brain barrier (BBB), a highly selective membrane that regulates molecular transport and restricts the passage of pathogens and therapeutic compounds. Traditional <em>in vivo</em> models are constrained by high costs, lengthy experimental timelines, ethical concerns, and interspecies variations. <em>In vitro</em> models, particularly microfluidic BBB-on-a-chip devices, have been developed to address these limitations. These advanced models aim to more accurately replicate human BBB conditions by incorporating human cells and physiological flow dynamics. In this framework, here we developed an innovative microfluidic system that integrates thin-film electrodes for non-invasive, real-time monitoring of BBB integrity using electrochemical impedance spectroscopy (EIS). EIS measurements showed frequency-dependent impedance changes, indicating BBB integrity and distinguishing well-formed from non-mature barriers. The data from EIS monitoring was confirmed by permeability assays performed with a fluorescence tracer. The model incorporates human endothelial cells in a vessel-like arrangement to mimic the vascular component and three-dimensional cell distribution of human astrocytes and microglia to simulate the parenchymal compartment. By modeling the BBB-on-a-chip with an equivalent circuit, a more accurate trans-endothelial electrical resistance (TEER) value was extracted. The device demonstrated successful BBB formation and maturation, confirmed through live/dead assays, immunofluorescence and permeability assays. Computational fluid dynamics (CFD) simulations confirmed that the device mimics <em>in vivo</em> shear stress conditions. Drug crossing assessment was performed with two chemotherapy drugs: doxorubicin, with a known poor BBB penetration, and temozolomide, conversely specific drug for CNS disorders and able to cross the BBB, to validate the model predictive capability for drug crossing behavior. The proposed sensorized microfluidic device represents a significant advancement in BBB modeling, offering a versatile platform for CNS drug development, disease modeling, and personalized medicine.</span></p>
Erosion Ageing of Polymeric Insulation Materials: Dielectric Barrier Discharges on Wet Surfaces under Repetitive Voltage Pulses - Dataset
<p>This data set is the basis for the following paper which will be presented at the VDE Hochspannungstechnik 2024 conference from November 11 to 13 in Berlin. The data set contains the following content:</p> <ul> <li>Microscopic images of surface erosion on aged PTFE, PVC & PA 6.6 test objects</li> <li>The experimental setup for the ageing of these polymers</li> <li>Profilometer measurements of the polymer surfaces at different ageing times</li> </ul> <p>For further details please read the text file within the attached archive.</p> <p> </p> <p> </p> <p> </p>
Research data for Structure and function of skin barrier lipids: Effects of hydration and natural moisturizers in vitro
<p>Research data for 10.1016/j.bpj.2024.10.006 Research data for Structure and function of skin barrier lipids: Effects of hydration and natural moisturizers in vitro. Biophysical Journal 2024.</p>
Linked collectors and determiners for: CardObs : Observations naturalistes issues de l'outil de saisie et gestion CardObs mis en place par le Service du Patrimoine Naturel (MNHN) / UMS PatriNat (OFB - CNRS - MNHN) - Données naturalistes de BARRIER Yannick.
Natural history specimen data linked to collectors and determiners held within, "CardObs : Observations naturalistes issues de l'outil de saisie et gestion CardObs mis en place par le Service du Patrimoine Naturel (MNHN) / UMS PatriNat (OFB - CNRS - MNHN) - Données naturalistes de BARRIER Yannick". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/49c8dd63-bc43-411e-9da6-ee5a197ac2cd">https://bionomia.net/dataset/49c8dd63-bc43-411e-9da6-ee5a197ac2cd</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/49c8dd63-bc43-411e-9da6-ee5a197ac2cd">https://gbif.org/dataset/49c8dd63-bc43-411e-9da6-ee5a197ac2cd</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: DNA barcoding the fishes of Lizard Island (Great Barrier Reef).
Natural history specimen data linked to collectors and determiners held within, "DNA barcoding the fishes of Lizard Island (Great Barrier Reef)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d03ce806-e16f-4cdb-a964-0b965523b908">https://bionomia.net/dataset/d03ce806-e16f-4cdb-a964-0b965523b908</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d03ce806-e16f-4cdb-a964-0b965523b908">https://gbif.org/dataset/d03ce806-e16f-4cdb-a964-0b965523b908</a>. Formatted as a Frictionless Data package.
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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.