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525 results for “Displace”
The Second DISPLACE 2024 Challenge
<p>Inspired by the previous session of DISPLACE 2023 challenge, we have launched the DISPLACE 2024 challenge (https://displace2024.github.io/). Compared to the first DISPLACE challenge, the current challenge includes an additional track on automatic speech recognition (ASR) in code-switched multi-accent conversational scenarios along with speaker and language diarization tracks. We plan to release both supervised and unsupervised domain matched data for participants to use in model adaptation. To the best of our knowledge, no publicly available dataset matches the diverse characteristics observed in the DISPLACE dataset, including code-mixing/switching, natural overlaps, reverberation, and noise. For this challenge, a natural multi-lingual, multi-speaker conversational dataset will be distributed for development and evaluation purposes. There will be no training data given and the participants will be free to use any resource for training the models. The challenge reflects the theme of Interspeech 2024 - "Speech and Beyond" in its true sense.<br><br><br><br>The dataset can be obtained by orgainisers by sending the request form and duly signed the terms and condtions<br><br><strong>Link for registration for obtaining the data : <a href="https://forms.gle/meni6SNRHtsz5XQi6" target="_blank" rel="noopener">Registration Link</a></strong></p>
Datasets for 'Electron ptychography reveals a ferroelectricity dominated by anion displacements'
<p>4D-STEM datasets for the multislice electron ptychographic reconstructions reported in the paper 'Electron ptychography reveals a ferroelectricity dominated by anion displacements' <a href="https://doi.org/10.48550/arXiv.2408.14795" target="_blank" rel="noopener">arXiv.2408.14795</a>. The reconstruction code based on the <a href="https://github.com/yijiang1/fold_slice" target="_blank" rel="noopener">fold_slice</a> package is also provided along with the data.</p>
EPSRC-funded Humanitarian Engineering and Energy for Displacement (HEED) datasets
<p>This repository contains raw datasets gathered under the EPSRC-funded Humanitarian Engineering and Energy for Displacement (HEED) research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities by creating an evidence base on the usage of seven different energy interventions, and provide recommendations for improved design of future energy interventions to better meet the needs of people. Below is a brief description of the interventions.</p> <ol> <li>Stove-use monitoring systems (July 2019 to October 2019) - Stove-use monitoring systems (SUMs) were deployed on clay stoves in Kigeme camp, Rwanda in July 2019. The aim of the study was to evaluate stove usage patterns by measuring temperature profiles within stove enclosure and on the surface of stoves. The SUMs consisted of 2 sensors - a thermocouple to measure temperature within the stove and a Si7021 sensor to measure temperature outside the stove, connected to an Arduino MKR GSM 1400 board. The data measured by the sensors was stored only if the change in values exceeded a set threshold for either of the readings. The SUMs were powered by a re-chargeable Li-Ion battery of 3.7V and a rating of 7.59Wh.<br> <br> The study was conducted in 2 phases. In phase 1 (02 July 2019 to 30 September 2019), data was collected from 15 SUMs and stored locally on SD cards as well as communicated to a remote server via GSM. The time of data collection was recorded using GSM functionality. However, several GSM and MQTT failures were noted leading to loss of timestamp values as well as shorter battery lifetime due to re-transmission tries. In phase 2 (02 October 2019 to 17 October 2019), data was collected from 9 SUMs and only stored locally on SD cards. The time of data collection was recorded using an external RTC clock connected to the Arduino board. The data from both phases of study is deposited here in SUM.zip. The cleaned dataset is available at <a href="https://doi.org/10.5281/zenodo.3946999">10.5281/zenodo.3946999</a>.<br> </li> <li>Mobile Lantern monitoring systems (July 2019 to December 2019) - Mobile lantern monitoring systems (LMSs) were deployed in Nyabiheke camp, Rwanda, in July 2019. The aim of the study was to evaluate lantern usage (static or mobile) and consumption (charge and discharge) patterns. The monitors consisted of a D.light S30 solar lantern fitted with an Arduino-based monitoring device. The most integral part of the device was the Arduino MKR GSM 1400 board connected to an ADXL345 inertial motion unit sensor. The ADXL was used to calculate step count of a user based on activity and freefall interrupts. Additionally, the voltage of lantern battery was measured using an in-house voltage monitor to understand the discharging and charging patterns. The step count and battery voltage data were stored only if a significant change in the step count was detected. The LMSs were powered through a re-chargeable Li-Ion battery of 3.7V and a rating of 7.59Wh.<br> <br> The study was conducted in 2 phases. In phase 1 (03 July 2019 to 30 September 2019), data was collected from 60 lanterns and stored locally on SD card as well as communicated to a remote server via GSM. The time of data collection was recorded using GSM functionality. However, several GSM and MQTT failures were noted leading to loss of timestamp values as well as shorter battery lifetime due to re-transmission tries. In phase 2 (09 October 2019 to 18 December 2019), the design of lantern monitors was modified to circumvent these issues. The data was collected from 54 lanterns data and only stored locally on SD cards. The time of data collection was recorded using an external RTC clock connected to the Arduino board. Additionally, an internal watchdog timer was used to reset the device in case of failures. While certain failures persisted, the data yield was considerably higher than phase 1 of the study. The data from both phases of study is deposited here in LMS.zip. The cleaned dataset is available at <a href="https://doi.org/10.5281/zenodo.4269809">10.5281/zenodo.4269809</a>.<br> </li> <li>Individual appliance monitors (December 2018 to January 2020) - Individual appliance monitors (IAMs) were deployed in Uttargaya settlement, Nepal, in December 2018. The IAMs were simple, cost-effective and unobtrusive devices to collect data on the energy usage of connected appliances. The aim of the study was to understand energy consumption and usage patterns of different household appliances in grid-connected sub-metered displaced communities. The monitoring system consisted of 2 types of devices – Energenie MiHome Smart Plugs MIHO005 (referred to as the IAM) to sense data relating to power and voltage drawn by the connected appliance, and gateway nodes to collect data from IAM. The main component of the gateway node was a Raspberry Pi fitted with an Energenie ENER314-RT (receiver-transmitter) add-on board to allow the Pi to communicate with the smart plugs. The data collected by the RPi gateway was stored locally in an SD card as well as sent to a remote server hosted at Coventry University.<br> <br> The study was conducted until January 2020. The raw data from the study is deposited here in IAM.zip. The cleaned dataset is available at <a href="https://doi.org/10.5281/zenodo.4271714">10.5281/zenodo.4271714</a>.<br> </li> <li>Footfall monitoring systems (December 2018 to January 2020) - Seven footfall monitoring systems (FMSs) were deployed alongside seven solar streetlights to measure step count of passers-by in the Uttargaya settlement, Nepal, in December 2018. The aim of the study was to understand the level of pedestrian movement in the area and evaluate the effect of streetlights on the level of activity. Therefore, the footfall monitors were deployed prior to commissioning of streetlights to gather baseline data. The footfall monitors consisted of a Raspberry Pi 3B, PiFace Real Time Clock and CAM008 70º night vision IR sensor to detect footfall. Upon detection, footfall count along with the direction of movement and the timestamp (measured from PiFace RTC) was stored onto an SD card and communicated to a remote server hosted at Coventry University. <br> <br> The study was conducted until January 2020. The raw data from the study is deposited here in FMS.zip. The cleaned dataset is available at <a href="https://doi.org/10.5281/zenodo.4271730">10.5281/zenodo.4271730</a>.<br> </li> <li>Standalone Solar System for a Community Hall (June 2019 to March 2021) - A standalone solar system was deployed in a Community Hall in Nyabiheke camp, Rwanda in June 2019. The aim of the study was to understand the energy consumption behavior within a set location, and create an evidence base on the value of energy and its benefits for growing cooperatives and learning communities. The standalone system comprised of 2kW of solar panels and 12.2 kWh GEL battery storage capacity. Additional components included a Victron 150/35 charge controller and a Venus GX and 48/3000 MultiPlus Inverter. The system powered four AC 2-pin sockets, a 30 W entrance light, and six 30 W indoor lights. Each light and socket were individually metered and controlled via a remote monitoring unit. This allowed for quotas, maximum draws and periods of use to be remotely controlled.<br> <br> The study was conducted until March 2021. The raw data from the study is deposited here in Hall.zip. The cleaned dataset until March 2020 is available at <a href="https://doi.org/10.5281/zenodo.3949776">10.5281/zenodo.3949776</a>.<br> </li> <li>PV-battery Microgrid (July 2019 to March 2021) - A PV-battery Microgrid was deployed in Kigeme camp, Rwanda in July 2019. The microgrid powered a playground and two nursery buildings. The aim of the study was to identify best practice in the construction, control and operation of a micro-grid as a shared resource, understand optimal design features for user interfaces that allow negotiation over energy priorities and needs and understand community priorities for energy in the context of early years education and the rate of growth in energy utilization. The micro-grid system comprised of a 2.5 kW of solar panels and 21.1 kWh GEL battery storage capacity. Additional components included a Victron 250/60 charge controller, Venus GX 48/1200 MultiPlus Inverter and BMV-700 series battery monitor. Each Nursery building had three classrooms (A, B and C) with separate entrances. Each classroom was fitted with an AC socket, five 10 Watt indoor lights and a 10 Watt outdoor entrance light. A spare socket was located in the first classroom of each nursery building (Classroom A). Two outdoor double sockets were installed at the playground, and fifteen 10 Watt lights were located in the roof structure. Three transmission line poles were fitted with three 10 Watt lights for safety and security purposes, which also enabled them to act as streetlights. Each light and socket was individually monitored and controlled via a programmable remote monitoring unit (RMU). Wireless AC smart meters were used to control and measure power consumption at the socket loads. These meters communicated with the RMU to receive commands and notified the RMU when a command had been received and to transmit usage data. Each light was connected to a CPE (customer-premises equipment) unit, with three lights per CPE, which communicated wirelessly with the RMU. The CPEs received information from the RMU on when to turn the lights on/off and set the brightness. The CPE also monitored the power consumption of the three lights. <br> <br> The study was conducted until March 2021. The raw data from the study is deposited here in Microgrid.zip. The cleaned dataset until March 2020 is available at <a href="https://doi.org/10.5281/zenodo.3949776">10.5281/zenodo.3949776</a>.<br> </li> <li>Standalone solar streetlights (Nepal - June 2019 to October 2020; Rwanda - July 2019 to March 2021) - Seven advanced streetlights were installed by HEED in Khalte, Nepal, in July 2019. Four advanced streetlights and eight normal solar streetlights have been installed in Gihembe, Rwanda, in July 2019. Each advanced streetlight consisted of a solar streetlight and an electrical socket box for excess energy use. The aim of the study was to pilot community co-designed solar streetlights with ground-level sockets to demonstrate alternative energy governance models using new technologies to build community resilience and capacity. The solar light comprised a 300 Watt solar panel, Victron charge controller, 2 kWh li-ion batteries, reprogrammable 60 W LED light, Victron Venus GX for data logging, Victron BMV 700 series battery monitor, ground-level sockets/USB ports and a footfall sensor (only in Nepal). A Victron Battery Protect and remote relay on the Venus GX is used to control access to the secondary load to ensure that there is always sufficient energy to power the light. <br> <br> The study was conducted until October 2020 in Nepal and March 2021 in Rwanda. The raw data from the study is deposited here in SL.zip. The cleaned dataset until March 2020 is available at <a href="https://doi.org/10.5281/zenodo.3947992">10.5281/zenodo.3947992</a>.</li> </ol>
Geodetic displacement data near North Brawley Geothermal Field, 2009-2019
<p>Supplementary Dataset for Materna, Barbour, Jiang, and Eneva (2022), "Detection of aseismic slip and poroelastic reservoir deformation at the North Brawley Geothermal Field from 2009–2019". The 2009-2019 downsampled and processed displacements for modeling, shown in their Figure 3, are presented in this repository. Processing methods are included in detail in the paper. Also included are the fault geometries used for modeling and the surface rupture trace of the M4.7 normal faulting earthquake in the 2012 Brawley Swarm, traced from a UAVSAR interferogram. </p> <p>TerraSAR-X data were ordered from the German Space Agency (DLR), using funding from grant GEO-10-001 awarded to Imageair Inc. by the California Energy Commission (CEC). InSAR/SqueeSAR processing of these data was done by TRE Altamira in Canada and Italy under CEC grant GEO-16-003 to Imageair Inc. Leveling data were obtained from the Imperial County Department of Public Works (https://publicworks.imperialcounty.org) and processed under the same grant. The Copernicus Sentinel-1 data were processed by the European Space Agency (ESA) and retrieved from the Alaska Satellite Facility (ASF) (https://search.asf.alaska.edu/). Sentinel-1 displacement time series were derived from interferograms processed in Jiang and Lohman (2021) through the support of Southern California Earthquake Center (SCEC) award 20139. SCEC is funded by NSF Cooperative Agreement EAR-1600087 & USGS Cooperative Agreement G17AC00047. UAVSAR data can be downloaded at https://uavsar.jpl.nasa.gov/. Quadtree downsampling was performed with the Kite library (Isken et al., 2017).</p>
Photo-center displacements for RSGs as seen by Gaia
<p>Photo-center displacements for two simulations of Red Supergiant stars as seen by Gaia G photometric system. </p> <p>st35gm04n38_maps and st36gm00n05_maps are the temporal evolving intensity maps while photocenter_video_st35gm04n38 and photocenter_video_st36g00n05 the corresponding the intensity weighted locations</p>
Anolis carolinensis character displacement SNP
<p>Here are six files that provide details for all 44,120 identified single nucleotide polymorphisms (SNPs) or the 215 outlier SNPs associated with the evolution of rapid character displacement among replicate islands with (2Spp) and without competition (1Spp) between two <em>Anolis</em> species. On 2Spp islands, <em>A. carolinensis</em> occurs higher in trees and have evolved larger toe pads. Among 1Spp and 2Spp island populations, we identify 44,120 SNPs, with 215-outlier SNPs with improbably large F<sub>ST</sub> values, low nucleotide variation, greater linkage than expected, and these SNPs are enriched for animal walking behavior. Thus, we conclude that these 215-outliers are evolving by natural selection in response to the phenotypic convergent evolution of character displacement. There are two, non-mutually exclusive perspective of these nucleotide variants. One is character displacement is convergent: all 215 outlier SNPs are shared among 3 out of 5 2Spp island and 24% of outlier SNPS are shared among all five out of five 2Spp island. Second, character displacement is genetically redundant because the allele frequencies in one or more 2Spp are similar to 1Spp islands: among one or more 2Spp islands 33% of outlier SNPS are within the range of 1Spp MiAF and 76% of outliers are more similar to 1Spp island than mean MiAF of 2Spp islands. Focusing on convergence SNP is scientifically more robust, yet it distracts from the perspective of multiple genetic solutions that enhances the rate and stability of adaptive change.</p> <p>The six files include: a description of eight islands, details of 94 individuals, and four files on SNPs. The four SNP files include the VCF files for 94 individuals with 44KSNPs and two files (Excel sheet/tab-delimited file) with F<sub>ST</sub>, p-values and outlier status for all 44,120 identified single nucleotide polymorphisms (SNPs) associated with the evolution of rapid character displacement. The sixth file is a detailed file on the 215 outlier SNPs.</p> <p>Complete sequence data is available at Bioproject PRJNA833453, which including samples not included in this study. The 94 individuals used in this study are described in "Supplemental_Sample_description.txt"</p>
Specimen displacement correction for powder x-ray diffraction in Debye-Scherrer geometry with a flat area detector
<p>This is a repository of synchrotron, powder XRD data including area detector images (.tiff) and integrated intensity vs 2theta files (.xye) for an experiment determining a sample displacement correction equation for powder x-ray diffraction in Debye-Scherrer geometry with a flat area detector. The accuracy of this equation and the corresponding corrections were verified by comparing it with corrections based on finding new integration parameters from an internal standard reference material.</p> <p>This work was published in the Journal of Applied Crystallography, the citation is shown below:</p> <p>Hulbert, B. S. & Kriven, W. M. (2023). J. Appl. Cryst. 56.</p> <p><a href="https://doi.org/10.1107/S1600576722011360">https://doi.org/10.1107/S1600576722011360</a></p>
Data repository for "3D coseismic surface displacements from historical aerial photographs of the 1987 Edgecumbe earthquake, New Zealand"
<p>This data repository includes supplementary files used in the accompanying manuscript: </p> <p>Delano, J. E, Howell, A., Stahl, T. A., Clark, K. (<em>submitted 2022</em>). 3D coseismic surface displacements from historical aerial photographs of the 1987 Edgecumbe earthquake, New Zealand. Journal of Geophysical Research: Solid Earth.</p> <p>Contents:</p> <ol> <li>Supplementary Text S1, containing additional methods and discussion</li> <li>Supplementary Figures S1-S9</li> <li>Supplementary Tables S1-S6 </li> <li>Raster files (TIFF) of SfM results and differenced DSM</li> <li>Raster files of orthophoto mosaics (pre- and post-earthquake)</li> <li>Shapefiles containing fault trace mapping and displacement locations</li> </ol> <p>See README for individual file descriptions.</p>
Vibrational coherences in half-broadband 2D electronic spectroscopy: spectral filtering to identify excited state displacements
<p>All data presented in the figures of "Vibrational coherences in half-broadband 2D electronic spectroscopy: spectral filtering to identify excited state displacements".</p>
Mechanisms of coexistence: Exploring species sorting and character displacement in woody plants to alleviate belowground competition
<p>Rarely do we observe competitive exclusion within plant communities, even though plants compete for a limited pool of resources. Thus, our understanding of the mechanisms sustaining plant biodiversity might be limited. In this study, we explore two common ecological strategies, species sorting and character displacement, that promote coexistence by reducing competition. We assess the degree to which woody plants may implement these two strategies to lower belowground competition for nutrients which occurs via nutritional (mostly mycorrhizal) mutualisms. First, we compile data on plant traits and the mycorrhizal association state of woody angiosperms using a global inventory of indigenous flora. Our analysis reveals that species in locations with high mycorrhizal diversity exhibit distinct mean values in leaf area and wood density based on their mycorrhizal type, indicating species sorting. Second, we reanalyze a large dataset on leaf area to demonstrate that in areas with high mycorrhizal diversity, trees maintain divergent leaf area values, showcasing character displacement. Character displacement among plants is considered rare, making our observation significant. In summary, our study uncovers a rare occurrence of character displacement and identifies a common mechanism employed by plants to alleviate competition, shedding light on the complexities of plant coexistence in diverse ecosystems.</p>
Data for: "A test of the mechanistic process behind the convergent agonistic character displacement hypothesis"
<p><strong>Abstract</strong></p> <p><span>In this era of rapid global change, understanding the mechanisms that enable or prevent species from co-occurring has assumed new urgency. The convergent agonistic character displacement (CACD) hypothesis posits that signal similarity enables co-occurrence of ecological competitors by promoting aggressive interactions that reduce interspecific territory overlap and hence, exploitative competition. In northwestern Switzerland, ca. 10% of <em>Phylloscopus sibilatrix</em> produce songs containing syllables that are typical of their co-occurring sister species, P. bonelli (“mixed singers”). To examine whether the consequences of P. sibilatrix mixed singing are consistent with CACD, we combined a playback experiment and an analysis of interspecific territory overlap. Although P. bonelli reacted more aggressively to playback of mixed P. sibilatrix song than to playback of typical P. sibilatrix song, interspecific territory overlap was not reduced for mixed singers. Thus, the CACD hypothesis was not supported, which stresses the importance of distinguishing between interspecific aggressive interactions and their presumed spatial consequences. </span></p> <p><span> </span></p>
2D Peridynamic Displacement Fields
<p>These are databases of Peridynamic solutions for two sets of problems:</p> <p>1) Three constant strain modes (results.db)</p> <p>2) A thin pressurized crack (lfm_data.db)</p> <p>The databases contain multiple combinations of force formulations, influence functions, support radii, stabilization parameters, and smoothing parameters. Each combination is solved enough times to determine grid convergence. </p> <p>Additionally, there is a database of finite element solutions on the thin pressurized crack to serve as comparisons for accuracy and runtime (femdata.db). </p> <p>The files are SQLite3 databases written using the builtin Python library.</p> <p>See PeriFlakes: https://github.com/afqueiruga/periflakes</p>
Data set: Control design, implementation and evaluation for an in-field 500 kW wind turbine with a fixed-displacement hydraulic drivetrain
<p>Data set of Wind Energy Science (WES) paper: Control design, implementation and evaluation for an in-field 500 kW wind turbine with a fixed-displacement hydraulic drivetrain</p>
Subpixel offsets of Copernicus Sentinel 2 data, related to the displacement field of the Sulawesi Earthquake (2018, Mw 7.5)
<p><a href="https://en.wikipedia.org/wiki/Sulawesi">Sulawesi</a> lies within a complex fault system located between the <a href="https://en.wikipedia.org/wiki/Australian_Plate">Australian</a>, <a href="https://en.wikipedia.org/wiki/Pacific_Plate">Pacific</a>, <a href="https://en.wikipedia.org/wiki/Philippine_Sea_Plate">Philippine</a> and <a href="https://en.wikipedia.org/wiki/Sunda_Plate">Sunda Plates</a>. The main active structure onshore at the western part of Central Sulawesi is the left-lateral NNW-SSE trending <a href="https://en.wikipedia.org/wiki/Palu-Koro_fault">Palu-Koro</a> <a href="https://en.wikipedia.org/wiki/Strike-slip_Fault">strike-slip fault</a> that forms the boundary between the North Sula and Makassar blocks. On 28 September 2018, a large tsunamigenic <a href="https://en.wikipedia.org/wiki/Earthquake">earthquake</a> (Mw 7.5) struck the <a href="https://en.wikipedia.org/wiki/Minahasa_Peninsula">Minahasa Peninsula</a>, Indonesia. The earthquake caused massive damages near Palu city, including onshore gravitational instabilities and a tsunami.</p> <p>These data are the result of subpixel image correlation on Copernicus Sentinel-2 data (17 September 2018 and 2 October 2018) to derive the two-dimensional (East-West and North-South) horizontal co-seismic displacement field. In these data, the displacement field is expressed in meters. These results show a dominant senextral strike-slip motion on the onshore part of the Palu-Koro fault. Maximum displacement at the surface reached more than 8 meters at the location of Palu city. Processing is performed with COSI-CORR (Leprince et al., 2007). Data value higher than | 10 | meters should be considered as noise and disregarded. I used a correlation window size of 32 pixels with a sampling step of 16 pixels. A ramp has been removed from (separately) the North-South offsets and from the East-West offsets. The files are rasters of floating point values, served with a header file readable by ENVI software.</p> <p>Sign conventions:</p> <p>-North-South offsets: positive values to the North.</p> <p>- East-West offsets: positive values to the West.</p> <p> </p> <p><a href="http://www.esa.int/spaceinimages/Images/2018/10/Indonesia_earthquake_displacement_data">http://www.esa.int/spaceinimages/Images/2018/10/Indonesia_earthquake_displacement_data</a></p> <p><strong>Copyright:</strong> Contains modified Copernicus Sentinel data (2018), processed at the French Geological Survey (BRGM)</p> <p> </p> <p> </p>
Testing USP5 ZnF-UBD analogues with a Displacement Assay and SPR
<p>20 <a href="https://zenodo.org/record/3356885#.XcwPD1dKjIV">commercial analogues</a> from the Enamine REAL database were screened against the USP5 zinc finger ubiquitin-binding domain (ZnF-UBD) using a <a href="https://zenodo.org/record/3403804#.XcwPjFdKjIV">displacement assay</a> and the binding potency of best displacing compounds was assessed with a surface plasmon resonance (SPR) assay</p>
Text-fig. 6. Eospondylus primigenius (STÜRTZ) Bundenbach, Eschenbach-Bocksberg quarry, Lower Devonian, Lower Emsian (Zlichovian), Hunsrück Slate, NM S 4766, x 12.5. Undersurface of arm segments in Hunsrück Slate articulated specimen. A few lateral plates are displaced and expose details of vertebrae. The canal for radial water vessel is in center of zygosphene knob and zygotreme pit, like spout and funnel. At distal outer edges of vertebrae is cupola for tube feet. There are no under arm plates. in Isolated Ossicles Of The Family Eospondylidae Spencer Wright, 1966, In The Lower Devonian Of Bohemia (Czech Republic) And Correction Of The Systematic Position Of Eospondylid Brittlestars (Echinodermata: Ophiuroidea: Oegophiurida)
Text-fig. 6. Eospondylus primigenius (STÜRTZ) Bundenbach, Eschenbach-Bocksberg quarry, Lower Devonian, Lower Emsian (Zlichovian), Hunsrück Slate, NM S 4766, x 12.5. Undersurface of arm segments in Hunsrück Slate articulated specimen. A few lateral plates are displaced and expose details of vertebrae. The canal for radial water vessel is in center of zygosphene knob and zygotreme pit, like spout and funnel. At distal outer edges of vertebrae is cupola for tube feet. There are no under arm plates.
FIGURE 3. 3.1 von Mises stresses, 3.2 von Mises strains, 3.3 Displacements, 3.4 von Mises stress relationship with reference value, 3.5 von Mises strain relationship with reference value and 3.6 in Insights into the controversy over materials data for the comparison of biomechanical performance in vertebrate
FIGURE 3. 3.1 von Mises stresses, 3.2 von Mises strains, 3.3 Displacements, 3.4 von Mises stress relationship with reference value, 3.5 von Mises strain relationship with reference value and 3.6 Displacement relationship with reference value in front of variation in the elastic modulus (E) in points P and Q.
FIGURE 5. 5.1 von Mises stresses, 5.2 von Mises strains, 5.3 Displacements, 5.4 von Mises stress relationship with reference value, 5.5 von Mises strain relationship with reference value and 5.6 in Insights into the controversy over materials data for the comparison of biomechanical performance in vertebrate
FIGURE 5. 5.1 von Mises stresses, 5.2 von Mises strains, 5.3 Displacements, 5.4 von Mises stress relationship with reference value, 5.5 von Mises strain relationship with reference value and 5.6 Displacement relationship with reference value in front of variation in the elastic modulus (E) in points P and Q.
The velocity boundary conditions of the model, the static Coulomb stress, displacement and the direction of the maximum principal stressin in Weiyuan area,China
<p>The velocity boundary conditions of the model, the displacement, the static coulomb stress and the direction of the maximum principal stress data in Weiyuan area, Sichuan Province, China, calculated by numerical simulation method. The calculation time is 10 years and 50 years after fracturing, respectively. The data include longitude, latitude, depth and corresponding calculation results. The parameters are: fracture volume-to-model volume ratio (θ) , the fractures distributed radius (γ) around the wells. </p>
Oscillations of Offshore Wind Turbines undergoing Installation II: Filtered and Integrated data - acceleration, velocity, displacement
<p>This is dataset is based on the raw measurement data from <a href="https://zenodo.org/record/5009061">https://zenodo.org/record/5009061</a></p> <p>The data included in the archives are the resampled and high-pass filtered accelerations as well as the velocity and displacement data.</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.