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359 results for “packing”
Residual limb models scanned using the EINScan Pro 2X Plus scanner with added HD Prime Pack
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Increasing species richness along elevational gradients is associated with niche packing in bat assemblages
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Structural models and Sort-seq data for: Packing of apolar amino acids is not a strong stabilizing force in transmembrane helix dimerization
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Problem instances for the two-dimensional bin packing problem with multiple levels of prioritization
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Data from: genetic evidence of differential dispersal pattern in Asiatic wild dog: comparing populations with different pack size and tiger densities
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Sponge-like rigid structures in frictional granular packings
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6D-ViCuT: Six degree-of-freedom visual cuboid tracking dataset for manual packing of cargo in warehouses
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Gray wolf packs and human-caused wolf mortality
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Military maritime load planning instances for prioritized two-dimensional orthogonal packing
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LiF data pack supporting "Observation of diffraction contrast in scanning helium microscopy"
<p>All the experimental data from the paper is included in this data pack including both the images and the z scans. </p> <p>Images from the paper are presented in three different formats with filenames scan00*****:</p> <p>1) .png file which is an unprocessed image of the raw data. <br> 2) .gwy file which is an unprocessed version of the data that can be opened in Gwyddion<br> 3) .mat file which contains all the measured data that can be opened in MATLAB</p> <p>The .mat file contains the most information and requires some explanation to easily understand.<br> The data is saved in a structure named meas, the key fields are as follows:</p> <p>meas.target - A matrix of the target position for each pixel, with a column for each of the x,y coordinates<br> meas.inputs - Input parameters used in the scanning program to collect the data<br> meas.initial_pos - Position of each the three stages at the start of the scan. The 3rd coordinate is the z scan and does not change throughout the scan<br> meas.data - A vector of the measured current at each pixel in Amps<br> meas.image - A matrix that represents the acquired image</p> <p>The remaining fields are explained at the bottom of the readme.</p> <p>The z scans are saved Z*****.mat and can be opened in MATALB.<br> The key variables in the data files are:</p> <p>z_position - Raw z coordinate of the positioner in nm<br> current_z - Measured current at each point in Amps<br> m - Horizontal scan gradient (approximately 1)<br> m2 - Vertical scan gradient (approximately 0)<br> step_pos - x coordiate at z_position=0<br> step_pos_v - y coordinate at z_position=0</p> <p>The x,y position at each point in the scan can then be obtained from<br> x=step_pos + m*(z_position)<br> y=step_pos_v + m2*(z_position)</p> <p><br> The true z distance between the pinhole and the sample in nm can be calculated from z=z_position-4295000</p> <p>The included data in the pack contains:</p> <p>Images presented in the paper:<br> scan001357<br> scan001361<br> scan001398<br> scan001415</p> <p>Z000006.mat - z scan of flat region<br> Z000008.mat - z scan of heavily distorted region<br> Z0000012.mat - z scan of lightly distorted region<br> Z000013.mat - z scan of HOPG</p> <p>z_scan_movie.avi - Video illustrating how the images vary with z<br> scan001401-scan001413 - Data to produce the video</p> <p>In addition, the analysis scripts have been included for reference. <br> The scripts can be used to regnerate the figures in the paper.</p> <p><br> The remaining fields in the meas structure are:<br> meas.date_time - Start date and time of the scan<br> meas.type - Scan pattern of the image. Always raster_jump<br> meas.p1 - Unused pressure<br> meas.p2 - Unused pressure<br> meas.p3 - Unused pressure<br> meas.p_srce - Source pressure at the start of the scan<br> meas.p_diff - Differential stage pressure at the start of the scan<br> meas.p_smpl - Sample pressure at the start of the scan<br> meas.p_det - Detector pressure at the start of the scan<br> meas.N_dwell - Number of current measurements taken at each pixel<br> meas.comments - comments (unused)<br> meas.det_params - Detector parameters used in the scan<br> meas.labtemp - A vector of the labtemp at each pixel (unused)<br> meas.return_state - Error status <br> </p>
Dataset for article titled "The influence of packing structure and interparticle forces on ultrasound transmission in granular media"
<p>Dataset containing supporting materials for article titled "The influence of packing structure and interparticle forces on ultrasound transmission in granular media". An enclosed PDF file describes the data.</p>
Benefit of Modified Atmosphere Packaging on the overall environmental impact of the supply chain of packed strawberries
<p>This dataset gives the raw results of Life Cycle Analysis of fresh strawberries packed in Modified Atmosphere Packaging (MAP) or conventionnel packaging (macroperfoated) stored either at ambiant temperature or refrigerated at household.</p> <p>These raw data were used to draw Figures 3, 4, 5 and Figure-S1 in the associated paper "Benefit of Modified Atmosphere Packaging on the overall environmental impact of the supply chain of packed strawberries".</p> <p>The dataset contains also results of the sensitivity analysis povided at:</p> <p>- consumer level</p> <p>- supermarket.</p> <p> </p>
Data from: Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population
Background: Carnivores are re-establishing in many human-populated areas, where their presence is often contentious. Reaching consensus over management decisions is often hampered by a dispute about the size of the local carnivore population. Understanding the reproductive dynamics and individual movements of the carnivores can provide support for management decisions, but individual-level information can be difficult to obtain from elusive, wide-ranging species. Non-invasive genetic sampling can yield such information, but makes subsequent reconstruction of population history challenging due to incomplete population coverage and error-prone data. Here, we combine a collaborative, volunteer-based sampling scheme with Bayesian pedigree reconstruction to describe the pack dynamics of an establishing grey wolf (Canis lupus) population in south-west Finland, where wolf breeding was recorded in 2006 for the first time in over a century. Results: Using DNA extracted mainly from faeces collected since 2008, we identified 81 individual wolves and assigned credible full parentages to 70 of these and partial parentages to a further 9, revealing 7 breeding pairs. Individuals used a range of strategies to obtain breeding opportunities, including dispersal to established or new packs, long-distance migration and inheriting breeding roles. Gene flow occurred between all packs but inbreeding events were rare. Conclusions: These findings demonstrate that characterizing ongoing pack dynamics can provide detailed, locally-relevant insight into the ecology of contentious species such as the wolf. Involving various stakeholders in data collection makes these results more likely to be accepted as unbiased and hence reliable grounds for management decisions.
Controlled packing and single-droplet resolution of 3D-printed functional synthetic tissues
<p>3D-printing networks of droplets connected by interface bilayers is a powerful platform to build synthetic tissues, in which functionality relies on precisely ordered structures. However, the structural precision and consistency in assembling these structures is currently limited, which restricts intricate designs and the complexity of functions performed by synthetic tissues. Here, we report that the equilibrium contact angle (<i>θ<sub>DIB</sub></i>) between a pair of droplets is a key parameter that dictates the tessellation and precise positioning of hundreds of picolitre droplets within 3D-printed, multi-layer networks. When <i>θ<sub>DIB</sub></i> approximates the geometrically-derived critical angle (<i>θ<sub>c</sub></i>) of 35.3º, the resulting networks of droplets arrange in regular hexagonally close-packed (hcp) lattices with the least fraction of defects. With this improved control over droplet packing, we can 3D-print functional synthetic tissues with single-droplet-wide conductive pathways. Our new insights into 3D droplet packing permit the fabrication of complex synthetic tissues, where precisely positioned compartments perform coordinated tasks.</p>
Data from: Energetic increases lead to niche packing in deep-sea wood falls
Mechanisms leading to variation in diversity over energetic gradients continue to challenge ecologists. Changes in diversity may reflect the environmental capacity to support species' coexistence through increased niche packing or niche space expansion. Current ecological theory predicts increases of energy may lead to both scenarios but not their relative strengths. We use experimental deep-sea, wood-fall communities, where energy supply can be controlled, to test for the importance of niche expansion and packing in functional space over an energetic gradient. Invertebrate communities were identified and counted from 16 Acacia sp. logs ranging in size from 0.6 to 20.6 kg in mass (corresponding to energy availability) deployed at 3203 m in the Pacific Ocean for 5 years. We use four fundamental energetic species-level functional traits--food source, trophic category, motility, and tiering--to characterize species niches. Increases in energy on wood falls lead to increases of species richness. This higher species richness resulted from a substantial increase in mean niche overlap, suggesting that increases in energy may afford reduced competition.
Data from: Wolves adapt territory size, not pack size to local habitat quality
1. Although local variation in territorial predator density is often correlated with habitat quality, the causal mechanism underlying this frequently observed association is poorly understood and could stem from facultative adjustment in either group size or territory size. 2. To test between these alternative hypotheses, we used a novel statistical framework to construct a winter population-level utilization distribution for wolves (Canis lupus) in northern Ontario, which we then linked to a suite of environmental variables to determine factors influencing wolf space use. Next, we compared habitat quality metrics emerging from this analysis as well as an independent measure of prey abundance, with pack size and territory size to investigate which hypothesis was most supported by the data. 3. We show that wolf space use patterns were concentrated near deciduous, mixed deciduous/coniferous and disturbed forest stands favoured by moose (Alces alces), the predominant prey species in the diet of wolves in northern Ontario, and in proximity to linear corridors, including shorelines and road networks remaining from commercial forestry activities. 4. We then demonstrate that landscape metrics of wolf habitat quality – projected wolf use, probability of moose occupancy and proportion of preferred land cover classes – were inversely related to territory size but unrelated to pack size. 5. These results suggest that wolves in boreal ecosystems alter territory size, but not pack size, in response to local variation in habitat quality. This could be an adaptive strategy to balance trade-offs between territorial defence costs and energetic gains due to resource acquisition. That pack size was not responsive to habitat quality suggests that variation in group size is influenced by other factors such as intraspecific competition between wolf packs.
Data from: Den site selection, pack composition, and reproductive success in endangered African wild dogs
Habitat quality is often assumed to be directly related to increased consumer density, but such assumptions cannot be made without supporting demographic data that indicate improved fitness. Habitat selection might be especially important for denning species, where vulnerable offspring are confined to a single location for extended periods, but the effect of den choice on the reproductive success of denning species is poorly understood. By combining airborne high-resolution Light Detection and Ranging (LiDAR) measurements with data on pack composition, we investigated den site selection by endangered African wild dogs in Hluhluwe-iMfolozi Park, South Africa, examining whether habitat selection based on ecological factors resulted in increased litter sizes and thus reproductive success compared with social factors known to be important. Although there was selection for den sites in areas of increased terrain ruggedness and vegetation density, only vegetation density was associated with larger litter sizes and translated into increased reproductive success. Moreover, pack size was only influential when a minimum vegetation density around den sites was achieved, indicating that although social variables have a powerful effect on reproductive success, they are mediated by ecological factors defining habitat quality. Our results demonstrate the importance of distinguishing between density- and fitness-based indicators of habitat quality, and how this can affect management actions, particularly for endangered species conservation.
Urban City Prop Pack
asset pack for school Source: Objaverse 1.0 / Sketchfab
Figs. 1–5 in Nothing is Perfect: Biodegradable Packing Material as Food and Transportation for a Museum Pest,Lasioderma serricorne(F.) (Coleoptera: Anobiidae)
Figs. 1–5. Lasioderma serricorne in starch-based packing peanuts. 1) Adults (2.4 mm long); 2) Two teneral adults in a whole peanut (a) and just below the peanut surface (b); 3) Eggs (0.17 mm long); 4) Pupa dissected from a peanut; 5) Teneral adult and its larval exuviae dissected from a peanut.
3 Classic Rocks Pack
3 classic rocks pack, feel free to download! Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
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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.