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174 results for “Inverted”
Figure 10. - Maximum-likelihood phylogeny of Epicephala species based on sequences of the COI, ArgK and EF1α genes. Numbers above nodes are maximum-likelihood bootstrap support values based on 1,000 replications. The Japanese Epicephala species are marked in blue. Symbols right to species names donate ovipositor morphology: inverted U-shape, rounded apically; inverted V-shape, acute apically.
Figure 10. - Maximum-likelihood phylogeny of Epicephala species based on sequences of the COI, ArgK and EF1α genes. Numbers above nodes are maximum-likelihood bootstrap support values based on 1,000 replications. The Japanese Epicephala species are marked in blue. Symbols right to species names donate ovipositor morphology: inverted U-shape, rounded apically; inverted V-shape, acute apically.
Low-Amplitude Textures Explored with the Bare Finger: Roughness Judgments Follow an Inverted U-Shaped Function of Texture Period Modified by Texture Type
<p>Roughness is probably the most salient dimension pertaining to the perception of textures by touch and has been widely investigated. There is a controversy on how roughness relates to the texture’s spatial period and which factors influence this relation. Here, roughness during bare finger exploration of coarse textures is studied for different types of textures with elements of low height (0.3 mm). Participants were presented with square-wave gratings that were defined along one dimension and sine-wave gratings that were defined along one or two dimensions. Textures of each type varied in their spatial half period between 0.25 and 5.17 mm. Participants explored the textures by a lateral movement or a stationary finger contact. In all conditions judged roughness increased with spatial period up to a peak roughness and then decreased again. The exact function depended on the texture type, but hardly on exploration mode. We conclude that roughness is an inverted U-shaped function of texture period, if the textures are of low amplitude. The effects are explained by the interplay of two components contributing to the spatial code to roughness: variability in skin deformation due to the finger’s intrusion into the texture, which increases with the textures’ period up to a maximum (when the skin contacts the texture’s ground), and variability associated with the spatial frequency of the deformation, which decreases with spatial period.</p> <p><strong>Drewing</strong>, K. (2016). Low-Amplitude Textures Explored with the Bare Finger: Roughness Judgments Follow an Inverted U-Shaped Function of Texture Period Modified by Texture Type. <em>Haptics: Perception, Devices, Control, and Applications </em>(pp. 206-217). Springer: Heidelberg.</p> <p> </p> <p>The file DataPerTrialAndVp_Zenodo.txt contains all data relative to the publication.</p> <p>A description of the variables is contained in the file VARIABLE_CODES.txt</p>
Ground-dwelling invertebrates and plants following the application of inverted soil mounding on seismic lines
<p><span>In northern Alberta, Canada, much of treed boreal peatlands are fragmented by seismic lines – linear disturbances where trees and shrubs are cleared for the exploration of fossil fuel reserves. Seismic lines have been shown to have slow tree regeneration, likely due to the loss of microtopography during the creation of seismic lines. Inverted soil mounding is one of the treatments commonly applied in Alberta to restore seismic lines and to mitigate the use of these corridors by wildlife and humans. In 2018, we assessed the effects of mounding on understory plants and arthropod assemblages, three years after treatment application. We sampled in five mounded and five untreated seismic lines, and in their adjacent treed fens (reference fens) within the <span>Canadian Natural Resources Ltd (CNRL) Kirby South in-situ steam-assisted gravity drainage (SAGD) Plant, in the Athabasca oil sands (55°22'37.2" N, 111°10'3" W) of NW Alberta</span>. Here we provide the species composition at these sites.</span></p>
Detailed Controller Synthesis and Laboratory Verification of a Matching-Controlled Grid-Forming Inverter for Microgrid Applications
<p><strong>Figure5 Blackstart:</strong><br>BS->blackstart<br>noload/min/inter->Initial load<br>U4 -> Voltage waveforms<br>Udq-> Voltage dq values</p> <p><strong>Figure6 Stat<br></strong>data_sati_voltage3 -> Current and voltage waveforms<br>THD -> THD values<br><br><strong>Figure7 Trans:</strong></p> <p>Trans4to7kwdq-> dq values<br>Trans4to7kwPower->P and Q values<br>Trans4to7kwUI->Waveforms</p> <p><strong>Figure8 DCSens:</strong><br>Test1-14 -> Tests corresponding to DC bus sensitivity<br>p/i min/max -> identifier wether p or i value were increased/decreased</p> <p><strong>Figure9 ACsens:</strong><br>AC0-22 -> Tests corresponding to AC sensitivity</p> <p> </p>
Analogue Models for comparing and testing the relationship between inverted normal faults and pure thrusting during the positive tectonic inversion
<p>This dataset contains a series of Analogue Models for comparing and testing positive tectonic inversion mechanisms and their newly formed structures . Furthermore, it includes 2-D seismic reflection profiles that can be compared with the models presented here. Finally, examples of natural cases that show tectonic inversion processes are included. Both, seismic lines and photos are located on a segment of Andean forearc, specifically, in the Domeyko Cordillera and the Preandean Basins, northern Chile.</p>
Data for Estimation of 3D Moho depths beneath Southern Indian Shield by inverting seismic constraint gravity anomalies
<p>This is a help file for a description of all Data used for the implementation of our present paper<br> 'Estimation of 3D Moho depths beneath Southern Indian Shield by inverting seismic constraint gravity anomalies.' </p> <p> </p>
Interfacial host–guest complexation for inverted perovskite solar cells
<p><span>Characterisation dataset for “Interfacial host–guest complexation for inverted perovskite solar cells</span><span>”</span><span>, doi:10.1063/5.0202163, including data for main and supporting figures provided as image (*.png, *.tiff, and *.svg), Origin (*.opju) and *.txt files. </span><span>NMR data is provided by the TopSpin software, which is available from Bruker.<span> </span></span></p>
Inverted full deviatoric stress tensors in Zhang et al. 2024
<p>The inverted full deviatoric stress tensors from both 12-block inversion and pixel inversion are uploaded here. The coordinate of the tensors is N-E-down. The result from 12-block inversion assumes a uniform stress before the 2019 Ridgecrest doublet and uses the slip model from Xu et al. (2020). The result from pixel inversion uses Xu et al. (2020)'s slip model as well. Locations of the pixels are uploaded together.</p>
Inverted resistivity and estimated GH saturation models
<p>The files contain 2D inverted resistivity and GH saturation models for the Umitaka Spur on the eastern margin of the Japan Sea. The resistivity model was derived from marine electrical resistivity tomography data inversion, while the GH saturation model was estimated based on the 2D inverted resistivity model.</p>
SET-NAV: WP5: Invert modelling output for the building sector final energy demand and cost data
<p>This data set contains the Invert modelling results for final energy demand for space heating, cooling and hot water in buildings; hourly data for district heating and electricity (for different technologies) for 3-4 building types; annual data for the other energy carriers.</p> <p>It also contains all annual cost (Annuity of investments, O&M, fuel cost ) of electricity generation and / or heat generation and considered efficiency measures.</p> <p>This data is also available and visualised in our dedicated SET-NAV open data platform: The SET-NAV Scenario Explorer: https://data.ene.iiasa.ac.at/set-nav/#/workspaces</p>
Core - invert biomass + ordinal sort
<b>Description: </b><p>The Core Insect Pitfall/Malaise Trapping program has been running since 2012. The novel method was first developed by Robert M Ewers. This provides not only insect specimens, but other invertebrates such as myriapods, collembola, arachnids, and occasionally provides vertebrates such as small rodents, snakes, and amphibians. All specimens and data is kept as part of the Core of the SAFE project. The majority of the data which has been exploited so far remains with the Coleoptera and Staphylinidae groups, while much of the preliminary field iding groupings are currently not used, the data remains to have serious as of yet untapped potential for future workers.<br>Trap construction:<br>Traps were based on a design combining pitfall, flight-interception, and malaise traps. Flying insects were directed either upwards into a "top" trap or downwards into a "bottom" trap. <br>Components used in the construction of each trap are as follows:<br>• 1 25cm diameter, 20cm depth, 4.5cm spout aperture Blue Plastic "top" funnel.<br>• 1 20cm diameter, 20cm depth, 2cm spout aperture Blue Plastic "bottom" funnel.<br>• 1 Xcm four pointed star cloth, acting as a malaise tent "director", held at approximately 90 degrees to the trap with clear fishing line.<br>• 1 Xcm diameter, 90 degree grey plastic elbow pipe, one end modified to include appropriate teeth to screw collection bottle onto which.<br>• 1 Xml "bottom" collection bottle, modified with mesh lined holes to allow water to escape to prevent overspilling.<br>• 1 Xml "top" collection bottle, unmodified.<br>• 1 77cm length cross-intersecting clear plastic (PVC) flight interception vane, supported by 4 (metal) 68.5cm aluminum poles.<br>• 8 white plastic Zip-Ties.<br>• 70% ethanol solution to fill the collection bottles.<br>Trapping strategy:<br>The pitfall style bottom trap are dug flush into the ground where possible and the hole preserved between trapping periods to limit catch bias associated with soil and leaf litter disturbance (Digweed et al. 1995). Once constructed, and occasion start time recorded, the traps are left for three days before collection with collection time also recorded.<br>Samples are then stored in a chest freezer at -10 degC, before being taken to Maliau Basin research station and sorted by order and 70% ethanol before again being stored in freezers.<br>Justifications:<br>This combination of traps is implemented to target invertebrates of various morphology and behaviour to take full advantage of the sampling opportunity.<br></p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/82"><b>Spatial scaling of beetle community diversity</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Sime Darby (Standard grant, SAFE - core data, <a href="na">na</a>)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Council (Research licence na)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3354068">here</a></p><p><b>Files: </b>This consists of 1 file: Core_insect_2011_2012_2017.xlsx</p><p><b>Core_insect_2011_2012_2017.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Insect sorting</b> (described in worksheet Insect_sorting)</p><p>Description: Insect sorting 2011, 2012 and 2017</p><p>Number of fields: 28</p><p>Number of data rows: 2502</p><p>Fields: </p><ul><li><b>TrapNo</b>: Trap number (Field type: id)</li><li><b>Fragment</b>: Fragment number in the SAFE landscape (Field type: id)</li><li><b>Plot</b>: Insect rapping point (Field type: location)</li><li><b>Top_Bottom</b>: Position in the trap (Field type: categorical)</li><li><b>DateColl</b>: Date the trap was collected (Field type: date)</li><li><b>TimeColl</b>: Time the trap was collected (Field type: time)</li><li><b>Coleoptera</b>: Coleoptera abundance (Field type: abundance)</li><li><b>Staphylinids</b>: Staphylinids abundance (Field type: abundance)</li><li><b>Formicidae</b>: Formicidae abundance (Field type: abundance)</li><li><b>Isoptera</b>: Isoptera abundance (Field type: abundance)</li><li><b>Others_Insects_Invertebrate</b>: Other Inverts abundance (Field type: abundance)</li><li><b>Spider</b>: Spider abundance (Field type: abundance)</li><li><b>Woodlice</b>: Woodlice abundace (Field type: abundance)</li><li><b>Centipide_Milipide</b>: Centipide and milipide abundance (Field type: abundance)</li><li><b>Lizard</b>: Lizard abundance (Field type: abundance)</li><li><b>Snake</b>: Snake abundance (Field type: abundance)</li><li><b>Mouse</b>: Mouse abundance (Field type: abundance)</li><li><b>Frog</b>: Frog abundance (Field type: abundance)</li><li><b>Worm</b>: Worm abundance (Field type: abundance)</li><li><b>Snail</b>: snail abundance (Field type: abundance)</li><li><b>Other_animal</b>: Other animal abundance (Field type: abundance)</li><li><b>WetWeight</b>: Wet weight of sample (Field type: numeric)</li><li><b>DateSort</b>: Date of sample sorting (Field type: date)</li><li><b>Sorter</b>: Name of the sorter (Field type: comments)</li><li><b>DateEnter1</b>: Date data entered 1 (Field type: date)</li><li><b>EnteredBy1</b>: Name of data enterer (Field type: comments)</li><li><b>DateEnter2</b>: Date data entered (Field type: date)</li><li><b>EnteredBy2</b>: Name of data enterer (Field type: comments)</li></ul></li><li><p><b>Order counts</b> (described in worksheet Order_counts)</p><p>Description: Order counts 2011 and 2012</p><p>Number of fields: 10</p><p>Number of data rows: 1977</p><p>Fields: </p><ul><li><b>Site</b>: Trap collection (Field type: location)</li><li><b>Position</b>: Litter sample collected from (Field type: categorical)</li><li><b>DateColl</b>: Date trap collected (Field type: date)</li><li><b>N_days</b>: Number of days (Field type: numeric)</li><li><b>missing_data</b>: Is there any missing data? (Field type: categorical)</li><li><b>Coloptera</b>: Coloptera (Field type: abundance)</li><li><b>Staphylinid</b>: Staphylinid (Field type: abundance)</li><li><b>Formicidae</b>: Formicidae (Field type: abundance)</li><li><b>Isoptera</b>: Isoptera (Field type: abundance)</li><li><b>Other</b>: Invertebrates (Field type: abundance)</li></ul></li></ol><p><b>Date range: </b>2011-01-11 to 2018-11-07</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Annelida <br> -  -  Arthropoda <br> -  -  -  Centipide_Milipide <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  Blattodea <br> -  -  -  -  -  Isoptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Formicidae <br> -  -  -  Arachnida <br> -  -  -  -  Araneae <br> -  -  -  Malacostraca <br> -  -  -  -  Isopoda <br> -  -  -  -  -  Woodlice <br> -  -  Chordata <br> -  -  -  Reptilia <br> -  -  -  -  Squamata <br> -  -  -  -  -  Snake <br> -  -  -  Mammalia <br> -  -  -  -  Rodentia <br> -  -  -  Amphibia <br> -  -  -  -  Anura <br> -  -  Mollusca <br> -  -  -  Gastropoda <br> -  Animalia <br> -  -  Annelida <br> -  -  Arthropoda <br> -  -  -  Centipide_Milipide <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  Blattodea <br> -  -  -  -  -  Isoptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Formicidae <br> -  -  -  Arachnida <br> -  -  -  -  Araneae <br> -  -  -  Malacostraca <br> -  -  -  -  Isopoda <br> -  -  -  -  -  Woodlice <br> -  -  Chordata <br> -  -  -  Reptilia <br> -  -  -  -  Squamata <br> -  -  -  -  -  Snake <br> -  -  -  Mammalia <br> -  -  -  -  Rodentia <br> -  -  -  Amphibia <br> -  -  -  -  Anura <br> -  -  Mollusca <br> -  -  -  Gastropoda <br></div><p></p>
SAXS Data of Phospholipid Mixtures forming the Inverted Hexagonal Phase
<h1>Lipids and Experimental Info</h1>
Self-assembled molecules for hole extraction in efficient inverted PbS quantum dot solar cells
Open the record for dataset details and reuse information.
Inverted microscopy image dataset -- Carbon biomass of microplankton assemblages in southern Patagonian fjords and channels
<p>Images of main microplanktonic items (folders) obtained under inverted (mostly) and electronic microscope used to estimate biovolume and carbon biomass. Scale bar is shown on each picture and label of each image indicate the station ID (St.) and sampling depth (m). A table is provided with biovolume and equivalent spherical diameter calculations for each planktonic item. </p>
Seismic Inverted Impact force and Digital Elevation Models before and after the 2018 Baige Landslide
<p>For the data of inverted seismic force, the seismic signals recorded by the broadband seismic stations were prepared for the inversion of the force-time function by the following series of actions:</p> <ul> <li>Removing the instrumental response</li> <li>Resampling to 0.5 s</li> <li>Integrating the signals from velocity to displacement</li> <li>Rotating the horizontal components to the radial and transverse direction</li> <li>Filtering the signals between periods of 30 and 140 s</li> </ul> <p>For the digital elevation models (DEMs) of the Baige landslide, the pre-failure DEM with 10 m grid spacing was obtained from the Sichuan Bureau of Surveying Mapping and Geoinformation (SBSMG). At the same time, the post-failure DEM was derived from the UAV-based photogrammetry.</p>
"Inverted" cyclic(alkyl)(amino)carbene ligands allow olefin metathesis with ethylene at parts-per-billion catalyst loading
<p>Data confirming the structure of the new compounds obtained within the project, published in <em>Chem Catalysis </em><strong>2023</strong><em>, 3, 100713.</em></p> <p><a href="https://doi.org/10.1016/j.checat.2023.100713">https://doi.org/10.1016/j.checat.2023.100713</a></p> <p>The research was supported by the National Science Centre, Poland (OPUS grant DEC-2017/27/B/ST5/02563).</p>
Low-loss contacts on textured substrates for inverted perovskite solar cells
<p>Inverted perovskite solar cells (PSCs) promise enhanced operating stability compared to their normal-structure counterparts. To improve efficiency further, it is crucial to combine effective light management with low interfacial losses. Here we develop a conformal self-assembled monolayer as the hole-selective contact on light-managing textured substrates. Molecular dynamics simulations indicate cluster formation during phosphonic acid adsorption leads to incomplete SAM coverage. We devise a co-adsorbent strategy that disassembles high-order clusters, thus homogenizing the distribution of phosphonic acid molecules, thereby minimizing interfacial recombination and improving electronic structures. We report a lab-measured power-conversion efficiency (PCE) of 25.3% and a certified quasi-steady-state PCE of 24.8% for inverted PSCs, with a photocurrent approaching 95% of the Shockley-Queisser maximum. An encapsulated device having a PCE of 24.6% at room temperature retains 95% of its peak performance when stressed at 65°C and 50% relative humidity following > 1000 hours of maximum power point tracking under 1-sun illumination. </p>
Ground-dwelling invertebrates and plants following the application of inverted soil mounding on seismic lines
Open the record for dataset details and reuse information.
Data from: The inverted U-shaped effect of urban hotspots spatial compactness on urban economic growth
The compact city, as a sustainable concept, is intended to augment the efficiency of urban function. However, previous studies have concentrated more on morphology than on structure. The present study focuses on urban structural elements, i.e., urban hotspots consisting of high-density and high-intensity socioeconomic zones, and explores the economic performance associated with their spatial structure. We use nighttime luminosity (NTL) data and the Loubar method to identify and extract the hotspot and ultimately draw two conclusions. First, with population increasing, the hotspot number scales sublinearly with an exponent of approximately 0.50~0.55, regardless of the location in China, the EU or the US, while the intersect values are totally different, which is mainly due to different economic developmental level. Secondly, we demonstrate that the compactness of hotspots imposes an inverted U-shaped influence on economic growth, which implies that an optimal compactness coefficient does exist. These findings are helpful for urban planning.
Engagement Ring INVERTED
The idea here is that what ever color stone you choose to be inverted will play on the center stone, slightly changing the color and the amount of visible facets. This will increase the color tones and the visible fire to whatever stone you choose to be in the center as well as boosting the overall beauty! I would suggest that you use a diamond in the center so that it will pick the color and extra facets from the bottom inverted stone. Give me feedback and let me know if you like this design! Source: Objaverse 1.0 / Sketchfab
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