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865 results for “beds”
FIG. 5 in A new specimen of the ornithischian dinosaur Haya griva, cross-Gobi geologic correlation, and the age of the Zos Canyon beds
FIG. 5. The radius (top) and ulna (bottom) of IGM 100/3181.
FIG. 2. IGM 100 in A new specimen of the ornithischian dinosaur Haya griva, cross-Gobi geologic correlation, and the age of the Zos Canyon beds
FIG. 2. IGM 100/3181, a partial skeleton of Haya griva.
Discrete Element Model Simulations for a Granular Bed Undergoing Shear Deformation
<p>Discrete Element Model (DEM) Archive for,</p> <p>"Shear Variation at the Ice-Till Interface Changes the Spatial Distribution of Till Porosity and Meltwater Drainage"</p> <p>by,<br> Indraneel Kasmalkar, Anders Damsgaard, Liran Goren, Jenny Suckale</p> <p><br> This dataset contains the output files of the DEM simulations for understanding how the porosity of a granular bed evolves with an imposed laterally varying shear. The DEM simulations are performed using Sphere (<a href="https://src.adamsgaard.dk/sphere/">https://src.adamsgaard.dk/sphere/</a>), developed by Anders Damsgaard.</p> <p>The output files are in the 'output' folder.<br> The porosity values are curated and stored in 'porosities' folder as 4D numpy arrays.<br> The results are generated as .pdf files in the 'Images' folder.<br> The scripts are stored in the 'python' folder.</p> <p><br> The main file in the 'python' folder is MyVisualization.py.</p> <p>To run the script you will need Python 3.6 or newer, with the following packages:</p> <p>numpy, scipy, matplotlib, colorbrewer, math, pickle</p> <p>In MyVisualization.py, go to line<br> if __name__ == '__main__'</p> <p>Before the line, you can change the variable plot_type to get the plot you need.<br> The options for plot_type are listed in a comment right before the variable.<br> You can limit the plotting to either simple shear ('unif') or laterally varying shear ('hl') within each if condition thereafter</p>
Neutron Bragg edge imaging for strain characterization in powder bed additive manufacturing environments
<p>The paper describes an approach to disentangle the recorded transmission spectrum obtained from Bragg edge imaging. The transmission spectrum of the samples embedded in their corresponding powder was successfully extracted, proven by the coinciding strain maps produced. The horizontal profiles from the maps were plotted together with neutron diffraction results and they agree very well. The uploaded data were the raw data obtained from Bragg edge imaging and neutron diffraction experiments used to construct the strain maps and plots shown in the paper.</p>
Data for: Bed-scale impact and recovery of a commercially important intertidal seaweed
<p>As the value of ecosystem-based management (EBM) approaches is increasingly recognized in marine ecosystems, it is critical that the impacts of resource harvest are assessed at various spatial scales. This is particularly true for habitat-forming resources, such as wild seaweeds, that act as foundation species by physically structuring ecosystems. The impacts of spatially heterogeneous harvest may change with scale and have different management implications based on the ecosystem process or organism under consideration. <em>Ascophyllum</em> <em>nodosum</em> (hereafter rockweed) is a canopy-forming fucoid seaweed endemic to rocky coastlines in the North Atlantic Ocean that has been harvested for centuries. We conducted a Before-After Control-Impact study of commercial rockweed harvest at 38 sites across the coast of Maine (USA) from 2018 to 2020 in an effort to understand impact and one-year recovery of two rockweed bed structural characteristics, height and biomass, at a scale similar to a single harvest event. Our results indicate that rockweed harvest is spatially heterogeneous at the scale of the rockweed bed, and as a result, the effect sizes of harvest at this scale are smaller than those reported in previous studies that assessed smaller spatial scales. Mean rockweed biomass recovered to pre-harvest values after one year of recovery, but mean rockweed height remained lower at impacted sites. While post-harvest recovery was generally high in our study, sites that experienced higher intensities of harvest were less likely to fully recover height or biomass one year post-harvest. Our findings provide resource managers with a bed-scale perspective that can inform EBM approaches, particularly for population-level management of harvested resources and impacts of harvest on highly mobile organisms—such as birds and fish—that interact with these ecosystems at larger spatial scales.</p>
On the influence of bed roughness on saltation in inertial regime
<p>Matlab files containing jumps (hops) features (measurement done via Tracker software, image analysis) by columns: 1/ hop length, 2/ hop height, 3/ horizontal rebund velocity, 4/ vertical rebund velocity, 5/ horizontal impact velocity, 6/ vertical impact velocity, 7/ horizontal impact velocity at the end of the jump, 8/ vertical impact velocity at the end of the jump, 9/ rebund angle, 10/ impact angle, 11/ impact angle at the end of the jump. Original videos available on request (very large files).</p>
Near-bed stratification controls bottom hypoxia in ice-covered alpine lakes
<p>Dataset supporting the study of the development of near-bottom hypoxia in high-altitude lakes.</p> <p>Herein, hypoxia is set for dissolved oxygen concentrations equal to or below 2 mg/l</p> <p>Variables: Lake (name of the lake), Year (corresponding winter of measurements),Max_depth (lake'smax depth, in m),Lake_surface (lake's surface area in m2), Drainage_ratio (unitless), Percent_macrophyte_cover (lake's average macrophyte cover, in %), Catchement_NDVI (unitless),Secchi (Secchi depth in m, measured over the previous summer), ice_duration (estimated duration of the ice cover, in days), T_ice_on (average water column temperature at the date of ice_on, in °C), DOinit (average concentration in dissolved oxygen at ice-on, in mg/l), DOinitsat (average saturation in dissolved oxygen_DO_ at ice-on, in %), time_under_hypoxia (duration in days of near-bottom hypoxia under the ice), time_to_hypoxia (time in days to reach near-bottom hypoxia under the ice, after the onset of ice), Kexp (near_bottom DO decay rate under the ice, in /d), Klm (rate of near_bottom DO decrease under the ice, in mg/l/d), Kheat (deep warming rate under the ice, in /d).</p> <p>see the corresponding paper for more details</p> <p> </p>
Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity
<p>Simulation data to accompany the journal article "Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity" by Rettinger et al. (2022) in Journal of Fluid Mechanics.</p> <p>The data set features the four simulation setups with varying degrees of polydispersity, denoted as mono, poly10, poly50, and poly100.</p> <p>Each setup has two subfolders: 'particle' and 'fluid'.</p> <p>The 'particle' folder contains files with particle-related quantities. The name of the file indicates the simulation time step. Each file contains seven columns of data: the x-, y-, and z-coordinate of the particle's center of mass, followed by its radius and the three translational velocity components <strong>u</strong><sub>p</sub> = (u<sub>x</sub>, u<sub>y</sub>, u<sub>z</sub>). Each row thus contains the instantaneous properties of a single particle. Additionally, the row-ordering between time steps remains the same, i.e., the x-th row always denotes the same particle.</p> <p>The 'fluid' folder contains files with fluid-related quantities. Again, the name denotes the simulation time step. Each file contains three columns of data: the three velocity components <strong>u</strong><sub>f</sub> = (u<sub>x</sub>,u<sub>y</sub>,u<sub>z</sub>) of the horizontally averaged flow field. Each row corresponds to a particular vertical (z-) coordinate, denoting the height above the bottom plane. This coordinate is given in the additional file 'height.txt'.</p> <p>All data is given in simulation units where the lattice Boltzmann unit system is used.</p> <p> </p> <p>Updated version 1:</p> <ul> <li>Added a jupyter notebook (in python) that exemplifies how vertical profiles, e.g., of solid volume fraction and fluid velocity, can be extracted from the provided data.</li> <li>Fix in fluid height profiles (height.txt).</li> </ul> <p>Updated version 2:</p> <ul> <li>Added missing last column (z-velocity) to the particle data.</li> <li>Maintained consistent ordering of entries in particle data throughout all time steps.</li> </ul>
Fig. 4. A in The geological setting and palaeoenvironmental and palaeoecological reconstructions of the Upper Permian insect beds at Belmont, New South Wales, Australia
Fig. 4. A block model of the Belmont coal swamps and gravel channel system.
Fig. 2 in The geological setting and palaeoenvironmental and palaeoecological reconstructions of the Upper Permian insect beds at Belmont, New South Wales, Australia
Fig. 2. Section of insect seam from Pincombe's Outcrop (site 206, see Fig. 3).
Fig. 3 in The geological setting and palaeoenvironmental and palaeoecological reconstructions of the Upper Permian insect beds at Belmont, New South Wales, Australia
Fig. 3. Map of Belmont insect beds, showing new and old collection sites.
The natural capital of seagrass beds in the Caribbean: evaluating their ecosystem services and blue carbon trade potential
<p class="MsoNormal">Seagrass beds provide tremendous services to society, including the storage of carbon, with important implications for climate change mitigation. Prioritizing conservation of this valuable natural capital is of global significance, and including seagrass beds in global carbon markets through projects that minimize loss, increase area, or restore degraded areas represents a mechanism towards this end. Using newly available Caribbean seagrass distribution data, we estimated carbon storage in the region and calculated economic valuations of total ecosystem services and carbon storage. We estimated the 88,170 km<sup>2</sup> of seagrass in the Caribbean stores 1,337.8 (360.5–2335.0, minimum and maximum estimates, respectively) Tg carbon. The value of these seagrass ecosystems in terms of total ecosystem services and carbon alone was estimated to be $255 billion yr<sup>-1</sup> and $88.3 billion, respectively, highlighting their potential monetary importance for the region. Our results show that Caribbean seagrass beds are globally substantial pools of carbon, and our findings underscore the importance of such evaluation schemes to promote urgently needed conservation of these highly threatened and globally important ecosystems.</p>
Is bedding material a more effective thermal insulator than trap cover for small mammal trapping? A field experiment
<p>This dataset is currently part of a manuscript undergoing a review process in the Journal of Thermal Biology. The manuscript compares the thermal insulation provided by a cover, bedding, and a combination of both when applied to small mammal traps. Treatments were tested in two different environmental conditions, one where temperature is more stable (near the sea coast), and another where temperature fluctuations are more severe (in the Pyrenees).</p> <p>The first sheet contains the data collected from four Sherman traps placed in an outside terrace. One trial lasted four days, and a second trial lasted two days. Temperature (ºC) and relative humidity (%) were recorded every 10 minutes with data loggers (Elitech RC-51) situated inside each trap. Traps were assigned to a treatment as follows: <em>Cover</em> (<em>CV</em>), trap with only the PVC cover; <em>Bedding</em> (<em>BD</em>): Trap with water-proof cotton wool inside; <em>Cover+Bedding</em> (<em>CV+BD</em>): trap with the cover and with water-proof cotton wool inside; <em>Control </em>(<em>CN</em>), a conventional trap; Another logger was placed outside to have measures of air temperature (<em>Air</em>). In the case of BD<em> </em>treatment, data-loggers were placed inside the cotton.</p> <p>The second sheet contains the data collected from three traps of three different models: Sherman, Longworth, and Heslinga. To avoid ethical concerns related with keeping wild animals trapped for long periods of time, we placed hand-warmer heat pads (<em>Terratherm</em>) – with up to 12 hours of warmth – within traps to simulate endothermic metabolism generated by a trapped small mammal (Kearney et al., 2011; Griffiths et al., 2017). Despite the covers being designed for Sherman traps, in the trials we also included two other commercial traps used in the SEMICE monitoring programme (Torre et al., 2018), <em>Longworth</em> (Longworth Scientific Instrument Co., Oxford, UK), and <em>Heslinga</em> (<a href="http://www.heslingatraps.eu/">www.heslingatraps.eu</a>) for thermal insulation capacity comparisons. The experiments were conducted in two contrasting climatic areas in Barcelona province (coastal, 22 m.a.s.l, and Pyrenees, 650 m.a.s.l), to expand the range of temporal and spatial variation in winter temperatures. We performed 63 trials combining three trap models and three treatments. Traps were placed in similar conditions and submitted to the same <em>CN</em>, <em>BD</em> and <em>CV+BD</em> treatments cited above. The <em>CV</em> treatment (trap with only the PVC cover) was excluded from the second experiment due to its poor performance in retaining temperature and humidity, as demonstrated in the first experimental session (see ‘Results’ section). Furthermore, the CV treatment does not represent a common treatment in small mammal trapping studies. Inside each trap we placed a temperature data logger (iButton, <em>Thermochron</em>) protected within an aluminium mesh, an ideal material to house the small temperature loggers (Orrock and Connolly, 2016). In the <em>Bedding</em> treatments, the mesh was placed inside the cotton. Temperature was recorded continuously every five minutes. To avoid direct heat exchange between the heat pad and the data logger, we placed the heat pad at the end of the trap close to the back door, as far away from the data logger as possible. To quantify the heat output of the heat pads through time, we placed a data logger below a hand warmer in six different trials, recording temperatures every five minutes during a 12-hour period. All experiments were conducted during winter 2021.</p>
Ice-Flow Perturbation Analysis: A method to estimate ice-sheet bed topography and conditions from surface datasets (data)
<p>This dataset accompanies the paper 'Ice-Flow Perturbation Analysis: A method to estimate ice-sheet bed topography and conditions from surface datasets' in Journal of Glaciology, and can be used alongside the provided code to reproduce the figures,</p>
PhotoMOB: Automated GIS method for estimation of fractional grain dynamics in gravel bed rivers
<p><i><strong>PhotoMOB </strong></i>is a GIS toolbox automating the tasks to perform a spatial-temporal quantification of grain size distribution, bed stability and fractional mobility from photos of gravel bed river after hydrological events. Grain are classified as identical (i.e., stationary) or different (i.e., mobile/turned out). </p><p>The grain size distributions from the photos can be extracted in the form Area-by-Number or Grid-by-Number and are compatible with measurements obtained via other methods as pebble-count. </p><p>This folder contains data related to both papers in following subfolders: </p><ul><li><i>1_PhotoMOB_part1_Data</i>: data used for error assessment of grains characterisation<ul><li>Grain dataset collected in the field (1_Real),with measurement of the axes (a, b and c) measured using the Pebble-Box, measurement of the weight, estimation of the position of the grains on the surface of the bed.</li><li>Grain dataset digitised manually and identified automatically by the <i><strong>supervised</strong></i><strong> </strong>and <i><strong>automated PhotoMOB </strong></i>procedures as well as for<i> Basegrain</i> free stand-alone tool from Detert and Weitbrecht (2013) and <i>Sedimetrics Digital Gravelometer</i> from Graham (2005a, 2005b). </li></ul></li><li><i>2_PhotoMOB_part2_Data:</i> data used for error assessment of grain dynamics</li><li>3_Example_Data_ready_to_PhotoMOB_Extractor_App:<ul><li>This corresponds to a dataset of 3 hydrological events processed by the PhotoMOB GIS protocol (Part 1 +Part 2). These data are available as an example to be used in the PhotoMOB Extractor application (https://shiny.fannyville.com/photomob_extractor/) to obtain an overview of the output available from these data. </li></ul></li></ul><p> </p>
Chinese alcove bed
Chinese alcove bed, Zhejlang province, Qing dynasty, circa 18th century, wood. Museum of Cinquentenaire (Brussels, Belgium). Made with ReMake and ReCap from AutoDesk. This type of bed-alcove was not only used to sleep at night. You could go there during the day to read quietly, or have a private conversation with someone. Sometimes a table was placed in front of the bed, so that one could write or take an informal meal. This bed consists of two parts: a vestibule with small cupboards, for example shoes and clothes, and the back part where the mattress was. For more updates, please follow @GeoffreyMarchal on Twitter. Source: Objaverse 1.0 / Sketchfab
Kraków's bed
ID no.: 1/mek Museum: The Seweryn Udziela Ethnographic Museum in Kraków https://muzea.malopolska.pl/en/objects-list/373 Object copyright: The Seweryn Udziela Ethnographic Museum in Kraków Digitalisation: RDW MIC, Małopolska's Virtual Museums project Source: Objaverse 1.0 / Sketchfab
Wound Bed Preparation for Diabetic Foot Ulcers
ClinicalTrials.gov study NCT05577104. IPD Sharing: YES. Countries: 1. Publications: 1.
Effect of Fasting and Calorie-Restricted Diets on Dopamine and Serotonin Levels Among Obese Women With BED and FA
ClinicalTrials.gov study NCT04873648. IPD Sharing: NO. Countries: 1. Publications: 11.
Impact of Head of Bed Elevation in Symptoms of Patients With Gastroesophageal Reflux Disease
ClinicalTrials.gov study NCT02706938. IPD Sharing: NO. Countries: 1. Publications: 26.
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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.