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Dataset results
865 results for “beds”
ENCODE LR-RNA-seq TSS BED files
<p>Included are lapa (files just end in .bed) and Cerberus (files end in _cerberus.bed) TSSs for GM12878 and K562 libraries. Also included is a metadata file that goes from experiment ID to dataset name.</p> <p> </p> <p>Lapa TSSs have been filtered for reproducibility between biological replicates</p> <p> </p> <p>Cerberus TSSs are comprised of a subset of Lapa TSSs and have been filtered for expression >= 1 TPM.</p> <p> </p> <p>* Updated 12/19/23 for recompute</p> <p> </p>
Chalk Barge Bed Rotherhithe
The remains of a chalk barge bed on the Thames foreshore, below 'Charles Hay & Son' Rotherhithe, London. Date: 18th Century. Chalk beds were used as soft material for ships/boats to lay on when docked at low tide. The chalk stops the underside of the boat from being damaged by the foreshore. This one lies under a later layer of hard material which is being eroded to reveal the chalk beneath. Amongst the chalk and nearby are large quantities of discarded ship nails and other metal work. 167 photos taken in February 2020 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Edward Scissorhands, Edward's Bed
3D scan made from [5 still frames](http://imgur.com/a/PUG8I "5 still shots") taken from the movie Edward Scissorhands. Scene the model came from:  About the movie: https://en.wikipedia.org/wiki/Edward_Scissorhands Source: Objaverse 1.0 / Sketchfab
Rosedale East Engine Bed close
The remains of an engine bed and building at one of the former drift mine entrances at Rosedale East. The picture below shows the type of oil/diesel engine that might have sat here, with a massive single cylinder. This engine was installed by the Carlton Iron Company in 1900 and drove an electric generator for power for lighting, drills and haulage for the mine. Pictue by Thomas Smith:  Source: Objaverse 1.0 / Sketchfab
lit de paille - bed of straw - peasant or slave
Un lit de paille simple, que j'ai réalisé pour mon jeu : https://caton-laubergiste.itch.io/domorum-raider Support : Blender et une image de Pixabay déformée dont j'ai tiré une normal map par Gimp Source: Objaverse 1.0 / Sketchfab
Dataset: Flow and Turbulence due to Wood Contribute to Declogging of Gravel Bed
<div> <p>This dataset includes flow measurements and results from image analysis of channel bed and cores using flume experiments conducted at the Nepf Environmental Fluid Mechanics Laboratory at MIT.</p> <p> </p> </div>
Manufacturing of high strength and high conductivity copper with laser powder bed fusion
<p>Additive manufacturing (AM), known as 3D printing, enables rapid fabrication of geometrically complex copper (Cu) components for electrical conduction and heat management applications. However, pure Cu or Cu alloys produced by 3D printing often suffer from either low strength or low conductivity at room and elevated temperatures. Here, we demonstrate a design strategy for 3D printing of high strength, high conductivity Cu by uniformly dispersing a minor portion of lanthanum hexaboride (LaB<sub>6</sub>) nanoparticles in pure Cu through laser powder bed fusion (L-PBF). We show that trace additions of LaB<sub>6</sub> to pure Cu result in an improved L-PBF processability, an enhanced strength, and improved thermal stability, all whilst maintaining a high conductivity. The presented strategy could expand the applicability of 3D-printed Cu components to more demanding conditions where high strength, high conductivity, and thermal stability are required.</p>
The puncture mechanics: an example from the bed bug Cimex lectularius showing traumatic insemination using the paramere
<p>Cimicidae are well-known for traumatic insemination, and males pierce females with their parameres and transfer sperm through them. The shape of parameres is relatively stable in the family, but in some genera the paramere is elongated, appearing less resistant against lateral deflection. To understand the mechanical limitations of the paramere, we studied its penetration mechanics of the common bed bug, <em>Cimex lectularius</em>. We examined the postabdominal morphology, paramere geometry, and material properties and conducted breaking stress experiments on the paramere under wet and dry conditions. Mechanical property gradients are present with the paramere tip as the stiffest region and the base as the most flexible one. These mechanical properties relate to the presence of Ca, Zn, and Si. The basal wing-shaped structure is flexible, enabling it to interlock with the anal region during mating. The paramere is slightly twisted; the tip region is circular in cross-section, and the geometry of the rest is rather complex. In the mechanical test, wet parameres mainly buckled, while dried parameres broke off. The level of structural failures depended on the directions from which the compression forces were applied. Structural, material, and mechanical strengthening mechanisms preventing the paramere from mechanical failure are discussed.</p>
Material Dependent Influence of Ring/Spot Beam Profiles in Laser Powder Bed Fusion
<p>Raw data associated with a paper submission.<br>"Material Dependent Influence of Ring/Spot Beam Profiles in Laser Powder Bed Fusion"</p> <p>Contained are all the Matlab scripts used for the simulations, as well as csv's of any data plotted in graphs.</p>
Supplementary materials for "Operando phase mapping in multi-material laser powder bed fusion"
<p>This dataset includes the experimental data for the paper: "Operando phase mapping in multi-material laser powder bed fusion" by S. Sumarli, F. Malamud, S. Van Petegem, S. Gaudez, A. Baganis, M. Busi, E. Polatidis, C. Leinenbach, R. Logé, and M. Strobl. For more information, see the "Open data structure.pdf" file.</p>
Data for manuscript: An extrapolation algorithm for estimating river bed grain size distributions across basins
<p>Pebble counts collected and used for the analysis presented in the manuscript: An extrapolation agorithm for estimating river bed grain size distributions across drainage basins.</p>
Dataset for Formulation of minitablets with personalised dissolution profile by fluid-bed granulation of drug nanosuspensions
<p>Source data for all graphs in the manuscript titled "Formulation of minitablets with personalised dissolution profile by fluid-bed granulation of drug nanosuspensions" by Mutylo et al., submitted to International Journal of Pharmaceutics. The data sets contains values for particle size distributions, tablet uniformity, drug loading, and dissolution curves.</p>
EBAII - Linux training toy dataset - bed file of hg38 exons
<p>This is a toy dataset for the Linux training session at EBAII (Initiation au traitement des données de génomique obtenues par séquençage à haut débit)</p>
Dataset to "Fine-sediment erosion and ridge morphodynamics in coarse-grained immobile beds"
<p>The dataset is connected to the paper "Fine-sediment erosion and ridge morphodynamics in coarse-grained immobile beds".</p> <p>The dataset is subdivided in "topographic" and "PIV" data. Each dataset refers to an experiment presented in the paper.</p> <p>The filenames of the topographic data specify the location where the data were collected ("upstream" or "downstream"). The topographic data contain the bed elevations measured around each sphere over a measurement area as wide as the channel and covering nine patterns of spheres (see paper for a definition of the pattern of spheres). Each topographic dataset contains four structures:</p> <p>- A time vector "T" identifying the sampling times at which the bed topography was measured (unit: h)</p> <p>- A space vector "x" identifying the streamwise position of the spheres with the origin of the coordinate system positioned at the beginning of the measurement areas (upstream or downstream) - unit cm</p> <p>- A space vector "y" identifying the transverse position of the spheres with the coordinate system centred in the middle of the channel and positively oriented towards the left side of the flume looking in streamwise direction - unit cm</p> <p>- A matrix "Z" identifying the protrusion levels of the spheres (as defined in the paper) as a function of space and time (x times y times T) - unit cm</p> <p> </p> <p>The PIV data were acquired during experiments 1b and 5b at the upstream location. The data are a collection of the velocity fields measured above the top of the spheres and over two pattern of spheres in the middle "m" and in the quarter plane "q" of the channel for three different time instants (t1, t2, t3) during the experiments. Each dataset contains 6 variables:</p> <p>- the "sampling time" of the bursts - unit s</p> <p>- the "acquisition time" of the PIV run during the experiments - unit h</p> <p>- a vector "x" identifying the streamwise position of the velocity vectors for a coordinae system centred in the centre of the sphere and pointing in the longitudinal direction.</p> <p>- a vector "z" identifying the vertical direction of the coordinate system with the origin at the top of the sphere and pointing upwards - unit cm</p> <p>- a matrix "vx" containing 1000 fields of the streamwise velocity component - unit cm/s</p> <p>- a matrix "vz" containing 1000 fields of the vertical velocity component - unit cm/s</p>
Late to bed, late to rise—Warmer autumn temperatures delay spring phenology by delaying dormancy
<p>Spring phenology of temperate forest trees has advanced substantially over the last decades due to climate warming, but this advancement is slowing down despite continuous temperature rise. The decline in spring advancement is often attributed to winter warming, which could reduce chilling and thus delay dormancy release. However, mechanistic evidence of a phenological response to warmer winter temperatures is missing. We aimed to understand the contrasting effects of warming on plants leaf phenology and to disentangle temperature effects during different seasons.</p> <p>With a series of monthly experimental warming by ca. 2.4 °C from late summer until spring, we quantified phenological responses of forest tree to warming for each month separately, using seedlings of four common European tree species. To reveal the underlying mechanism, we tracked the development of dormancy depth under ambient conditions as well as directly after each experimental warming. In addition, we quantified the temperature response of leaf senescence.</p> <p>As expected, warmer spring temperatures led to earlier leaf-out. The advancing effect of warming started already in January and increased towards the time of flushing, reaching 2.5 days/°C. Most interestingly, however, warming in October had the opposite effect and delayed spring phenology by 2.4 days/°C on average; despite six months between the warming and the flushing. The switch between the delaying and advancing effect occurred already in December. We conclude that not warmer winters but rather the shortening of winter, i.e. warming in autumn, is a major reason for the decline in spring phenology.</p>
Experimental Investigation of the Heat Transfer between Finned Tubes and a Bubbling Fluidized Bed with Horizontal Sand Mass Flow
<p>Data repository for the paper:</p> <p>Thanheiser, S.; Haider, M.; Schwarzmayr, P. Experimental Investigation of the Heat Transfer between Finned Tubes and a Bubbling Fluidized Bed with Horizontal Sand Mass Flow. Energies 2022, 15, 1316. https://doi.org/10.3390/en15041316</p>
Dataset for "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange"
<p>This dataset contains the sediment models, DNS flow field data, subsurface path data, and calculated transit time distributions for both the regular- and random-interface cases used in the paper: "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange" by Guangchen Shen, Junlin Yuan, and Mantha S. Phanikumar (Submitted to Water Resources Research). <br> Detailed introduction of each data file is as follows.</p> <p>1. DNS flow field data</p> <p>Flowfield_Reg.h5 and Flowfield_Ran.h5 contains the following fields for the regular and random cases, respectively. 'ni', 'nj', 'nk' are the numbers of grid points along x, y, and z directions. 'xc', 'yc', 'zc' are the cell center locations. 'u3d','v3d','w3d' are the three-dimensional time-averaged velocities at each grid point. 'vof' is the volume-of-fluid field used by the immersed-boundary method to prescribe the fluid-solid interface (vof=1 in fluid and 0 in solid), at each grid point. 'vof' contains the information of sediment grain distribution and bed roughness geometry. Only the subsurface data (those below the sediment crest) are shared due to dataset size limit.</p> <p>2. Particle-tracked subsurface flow paths and corresponding transit time distributions</p> <p>The mat files “xxx_pathline” store the (x,y,z) location of each point (saved as 'StrX', 'StrY, 'StrZ') along the subsurface paths, discretized by uniform steps of travel time (with time intervals of 0.1 for 'A' and 0.01 for 'MD' cases, normalized by channel height and friction velocity). The files “xxx_TT” store the array of transit times corresponding to the tracked paths, where the 1d array T is the transit time. 'A' denotes calculations based on time-mean advection only, while 'MD' denotes calculations accounting for additional molecular diffusion. 'Interface' and '3DiameterBelow' indicate that the particles were released at the interface and -3 D below the interface, respectively.</p>
River bed sediment and debris flow deposit lithology and Schmidt Hammer Rock Strength dataset, Suiattle River, Washington State, USA
<p>This dataset includes measurements of river bed sediment lithology and Schmidt Hammer Rock Strength (SHRS), as well as debris flow deposit lithology, grain size, and SHRS, at sites along the Suiattle River, North Cascades, Washington State, USA. See Pfeiffer et al. (2022, JGR-ES) for further description of the collection methodology and site description.</p>
Bed topography of the large-scale meandering rivers at dynamic equilibrium state
<p>The simulation results for the bed topography of the 42 large-scale testbed rivers at dynamic equilibrium (along with instantaneous bed shear stress distributions) are presented.</p>
Mean bed shear stress of large-scale meandering rivers
<p>The source files (in Tecplot, and readable by ParaView) are the mean bed shear stress distribution of the 42 testbed rivers.</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.