Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
9,882
datasets available to search
ShareScore release 0.9.0
Dataset results
9,882 results for “Scale”
Strength-mass scaling law governs mass distribution inside honey bee swarms
<p>To survive during colony reproduction, bees create dense clusters of thousands of suspended individuals. How does this swarm, which is orders of magnitude larger than the size of an individual, maintain mechanical stability? We hypothesize that the internal structure in the bulk of the swarm, about which there is little prior information, plays a key role in mechanical stability. Here, we provide the first-ever 3D reconstructions of the positions of the bees in the bulk of the swarm using x-ray computed tomography. We find that the mass of bees in a layer decreases with distance from the attachment surface. By quantifying the distribution of bees within swarms varying in size (made up of 4000–10,000 bees), we find that the same power law governs the smallest and largest swarms, with the weight supported by each layer scaling with the mass of each layer to the ≈1.5 power. This arrangement ensures that each layer exerts the same fraction of its total strength, and on average a bee supports a lower weight than its maximum grip strength. This illustrates the extension of the scaling law relating weight to strength of single organisms to the weight distribution within a superorganism made up of thousands of individuals.</p>
Louvre aulos: basic scales and keys, Imperial setting (Lynch 2022)
<p>As discussed in a forthcoming publication, this figure represents the Iastian/Hypoiastian keys produced by the Louvre Aulos in its Imperial setting.<br> <br> This setting is consistent with the tunings recorded in the Imperial musical documents, discussed in Lynch 2023a and with Ptolemy's <em>harmogai, </em>transcribed and discussed in Lynch forthcoming.<br> </p> <p>Lynch, T. A. C. (2023a). Unlocking the Riddles of Imperial Greek Melodies: the 'Lydian' metamorphosis of the Classical harmonic system. <a href="https://doi.org/10.5281/zenodo.6927929">https://doi.org/10.5281/zenodo.6927929</a></p> <p>Lynch, T. A. C. <em>Ancient Greek melodies and the invention of the harmonic system: from Euripides to Early Christianity. </em>Monograph in progress. <a href="https://doi.org/10.5281/zenodo.7524698">https://doi.org/10.5281/zenodo.7524698</a></p>
Louvre aulos basic scales – Classical setting (Lynch 2022)
<p>This figure represents the Phrygian/Hypophrygian scales produced by the Louvre Aulos, discussed in detail in Lynch 2023.This setting is consistent with the Classical and Hellenistic evidence discussed in Lynch 2022a–b, and especially with Athenaeus' <em>Paean</em> (<em>DAGM</em> 20).</p> <p> </p> <p>Lynch, T. A.C., 2022a ‘Unlocking the Riddles of Classical Greek Melodies I: Dorian Keys to the Harmonic Revolution of the New Music and the Hellenistic Musical Documents’, <em>Greek and Roman Musical Studies</em> 10.2, 383-415. <a href="https://bit.ly/3S34l3w">High-res file on Academia.edu</a> </p> <p>Lynch, T. A.C., 2022b ‘Unlocking the Riddles of Classical Greek Melodies II: the Revolution of the New Music in the Ashmolean Papyri (<em>DAGM</em> 5–6) and Athenaeus’ <em>Paean </em>(<em>DAGM</em> 20)’, <em>Greek and Roman Musical Studies</em> 10.2, 416-467. <a href="https://bit.ly/3S34l3w">High-res file on Academia.edu</a><a href="https://bit.ly/3rUWrP1"> </a></p> <p>Lynch, T.A.C., 2023. <em>Ancient Greek melodies and the invention of the harmonic system: from Euripides to Early Christianity. </em>Monograph in preparation (over 80000 words).</p>
Model outputs for wild ungulates occurrence and hunting yield abundance at European scale
<p>These are the outputs of a model for the occurrence and hunting yield (HY) density of wild ungulates not only for widely distributed species in Europe, but also for those ones which have a constrained distribution and ii) to compare the output of occurrence with observed HY. Random Forest function was used for modelling occurrence of species. We used occurrence data available from the past 30 years, and HY data (period 2015-2020) from records collected by <em>ENETWILD</em>. Like previous models based on HY, the response variable was the maximum number of wild ruminants annually hunted in 2015-2020 hunting seasons divided by the area (km<sup>2</sup>) of the corresponding administrative unit (HY density). Models based on HY were statistically downscaled to make predictions to 10x10km squares. Occurrence data models indicated a good predictive performance for most species, showing that the model framework proposed have improved results in comparison to previous models. The transferability of models into new regions was limited by the exposure of species to environmental conditions. As for HY models, the calibration plots showed a good and linear predictive performance for widely distributed species, as well as constrained distributed species. Overall, our results were consistent with the expected abundance distribution of widely distributed species.</p>
Data for: (Epi)genomic adaptation driven by fine geographical scale environmental heterogeneity after recent biological invasions
<p><span>Elucidating processes and mechanisms involved in rapid local adaptation to varied environments is a poorly understood but crucial component in management of invasive species. Recent studies have proposed that genetic and epigenetic variation could both contribute to ecological adaptation, yet it remains unclear on the interplay between these two components underpinning rapid adaptation in wild animal populations. To assess their respective contributions to local adaptation, we explored epigenomic and genomic responses to environmental heterogeneity in eight recently colonized ascidian (<em>Ciona intestinalis</em>) populations at a relatively fine geographical scale. Based on MethylRADseq data, we detected strong patterns of local environment-driven DNA methylation divergence among populations, significant epigenetic isolation by environment (IBE), and a large number of local environment-associated epigenetic loci. Meanwhile, multiple genetic analyses based on single nucleotide polymorphisms (SNPs) showed genomic footprints of </span><span>divergent selection</span><span>. </span><span>In addition, for five genetically similar populations, we detected significant methylation divergence and local environment-driven methylation patterns, indicating strong effects of local environments on epigenetic variation. From a functional perspective, a majority of functional genes, gene ontology (GO) terms, and biological pathways were largely specific to one of these two types of variation, suggesting partial independence between epigenetic and genetic adaptation. The methylation quantitative trait loci (mQTL) analysis showed that the genetic variation explained only 18.67% of methylation variation, further confirming the autonomous relationship between these two types of variation. Altogether, we highlight the complementary interplay of genetic and epigenetic variation involved in local adaptation, which may jointly promote populations' rapid adaptive capacity and successful invasions in different environments. The findings here provide valuable insights into interactions between invaders and local environments to allow invasive species to rapidly spread, thus contributing to better prediction of invasion success and development of management strategies.</span></p>
Datasets for "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones".
<p>This repository contains the 7-year averaged files from runs TATL10 and TATL3 used in the manuscript "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones".</p> <p>Additional files include the CARS oxygen climatology and the CMEMS model output used in the study.</p> <p> </p>
Data accompanying "Petabit per second data transmission using a chip-scale microcomb ring resonator source"
<p>Data for reproducing the figures from the article: <strong>Petabit per second data transmission using a chip-scale microcomb ring resonator source. </strong></p>
Dataset 2 for the reproduction of figures used in "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones""
<p>This is the second dataset with data necessary for the reproduction of the figures used in the manuscript.</p> <p> </p>
Estimating fine-scale changes in turbulence using the movements of a flapping flier
<p>All animals that operate within the atmospheric boundary layer need to respond to aerial turbulence. Yet little is known about how flying animals do this because evaluating turbulence at fine scales (tens to ~ 300 m) is exceedingly difficult. Recently, data from animal-borne sensors have been used to assess wind and updraft strength, providing a new possibility for sensing the physical environment. We tested whether highly-resolved changes in altitude and body acceleration measured onboard solo-flying pigeons (as model flapping fliers) can be used as qualitative proxies for turbulence. A range of pressure and acceleration proxies performed well when tested against independent turbulence measurements from a tri-axial anemometer mounted onboard an ultralight flying the same route, with stronger turbulence causing increasing vertical displacement. The best proxy for turbulence also varied with estimates of both convective velocity and wind shear. The approximately- linear relationship between most proxies and turbulence levels suggests this approach should be widely applicable, providing insight into how turbulence changes in space and time. Furthermore, pigeons were able to fly in levels of turbulence that were unsafe for the ultralight, paving the way for the study of how freestream turbulence affects the costs and kinematics of animal flight.</p>
Energy consumption, execution time and fail requests rate of a proactive energy-aware auto-scaling solution for edge-based infrastructures applied to real-world workload.
<p>Spreadsheet of the results obtained with our horizontal auto-scaling proposal presented in "A proactive energy-aware auto-scaling solution for edge-based infrastructures". In that research, we present a proactive horizontal auto-scaling framework for edge infrastructures, which considers both the base (idle) and dynamic (due to application execution) energy consumption of edge nodes and the node scaling mechanism. Simulations were performed with the EdgeCloudSim simulator with a workload provided by Shanghai Telecom and the results show up to a 92.5% decrease in energy consumption, a failed request rate of up to 0%, and reasonable execution times of the auto-scaling process for different problem sizes.</p> <p>Proactive auto-scaling mechanisms in edge-based infrastructures can anticipate user service requests by allocating computing resources while supporting the quality of service needed by a vast range of applications requiring, e.g., a low latency or response time. </p> <p>This work is supported by the European Union's H2020 research and innovation program under grant agreement DAEMON 101017109 and by the projects co-financed by FEDER funds LEIA UMA18-FEDERJA-15, MEDEA RTI2018-099213-B-I00 (MCI/AEI) and RHEA P18-FR-1081.</p>
Thermal design and full-scale thermal response test on Energy Walls
<p>This folder contains a spreadsheet that includes the underlying data referred to the publication mentioned in the title.</p> <p>For each figure, the underlying data are listed in a dedicated sub-sheet.</p>
GTK Boxer [German] scale model scan
This 3D model was generated with photogrammetry software 3DF Zephyr v4.513 processing 159 images taken from a 1/72 scale model made by Revell. This model was made to be used for reference. (I know the scan is not good) Source: Objaverse 1.0 / Sketchfab
Clay Pipe Fragment (with scale bar)
Fragment of clay pipe, found on Avoch shore, with scale bar attached for reference. Source: Objaverse 1.0 / Sketchfab
Test Lithic 20200320 Non-focus stacked, Scaled
Test lithic, 2.75cm long, personal collection of author, non-focus stacked. Source: Objaverse 1.0 / Sketchfab
MD simulation trajectory of a POPC/POPS (4:1) bilayer with 715mM CaCl2, Berger force field for lipids, scaled charges for Ca2+ and Cl-
<p>MD simulation trajectory of a POPC/POPS (4:1) bilayer with 715 mM CaCl2 (104 POPC, 24 POPS, 26 POPS, 4306 WAT, 72 Ca2+, 112 Cl-). Additional Ca2+ cations added to neutralize the negative charge of POPS (leading to total Ca2+ concentration of 919 mM). Berger force field for lipids, scaled charges employed for calcium and chloride ions. Gromacs 4.5.5, T=310K, 300 ns trajectories were calculated with the last 100 ns stored here.</p> <p>Used in (see therein also a detailed description of ion scaling):</p> <p>A. Melcrova, S. Pokorna, S. Pullanchery, M. Kohagen, P. Jurkiewicz, M. Hof, P. Jungwirth, P. S. Cremer, L. Cwiklik, The complex nature of calcium cation interactions with phospholipid bilayers<br> Scientific Reports 2016, 6, 38035.<br> DOI: 10.1038/srep38035</p>
MD simulation trajectory of a POPC bilayer with 716mM CaCl2, Berger force field for lipids, scaled charges for Ca2+ and Cl-
<p>MD simulation trajectory of a POPC bilayer with 716 mM CaCl2 (128 POPC, 26 POPS, 4308 WAT, 56 Ca2+, 112 Cl-). Berger force field for lipids, scaled charges employed for calcium and chloride ions. Gromacs 4.5.5, T=310K, 200 ns trajectories were calculated with the last 100 ns stored here.</p> <p>Used in (see therein also a detailed description of ion scaling):</p> <p>A. Melcrova, S. Pokorna, S. Pullanchery, M. Kohagen, P. Jurkiewicz, M. Hof, P. Jungwirth, P. S. Cremer, L. Cwiklik, The complex nature of calcium cation interactions with phospholipid bilayers<br> Scientific Reports 2016, 6, 38035.<br> DOI: 10.1038/srep38035</p>
MD simulation trajectory of a POPC/POPS (4:1) bilayer with 102mM CaCl2, Berger force field for lipids, scaled charges for Ca2+ and Cl-
<p>MD simulation trajectory of a POPC/POPS (4:1) bilayer with 102 mM CaCl2 (104 POPC, 24 POPS, 26 POPS, 4306 WAT, 24 Ca2+, 16 Cl-). Additional Ca2+ cations added to neutralize the negative charge of POPS (leading to total Ca2+ concentration of 306 mM). Berger force field for lipids, scaled charges employed for calcium and chloride ions. Gromacs 4.5.5, T=310K, 300 ns trajectories were calculated with the last 100 ns stored here.</p> <p>Used in (see therein also a detailed description of ion scaling):</p> <p>A. Melcrova, S. Pokorna, S. Pullanchery, M. Kohagen, P. Jurkiewicz, M. Hof, P. Jungwirth, P. S. Cremer, L. Cwiklik, The complex nature of calcium cation interactions with phospholipid bilayers<br> Scientific Reports 2016, 6, 38035.<br> DOI: 10.1038/srep38035</p>
MD simulation trajectory of a POPC bilayer with 100mM CaCl2, Berger force field for lipids, scaled charges for Ca2+ and Cl-
<p>MD simulation trajectory of a POPC bilayer with 100 mM CaCl2 (128 POPC, 26 POPS, 4452 WAT, 8 Ca2+, 16 Cl-). Berger force field for lipids, scaled charges employed for calcium and chloride ions. Gromacs 4.5.5, T=310K, 200 ns trajectories were calculated with the last 100 ns stored here).</p> <p>Used in (see therein also a detailed description of ion scaling):</p> <p>A. Melcrova, S. Pokorna, S. Pullanchery, M. Kohagen, P. Jurkiewicz, M. Hof, P. Jungwirth, P. S. Cremer, L. Cwiklik, The complex nature of calcium cation interactions with phospholipid bilayers<br> Scientific Reports 2016, 6, 38035.<br> DOI: 10.1038/srep38035</p>
Dynamics of the Young Solar Wind: Weakened Magnetization and Onset of Large Scale Turbulence (Simulation Data)
<p>Simulation data used in "Dynamics of the Young Solar Wind: Weakened Magnetization and Onset of Large Scale Turbulence", submitted to Geophysical Research Letters.</p>
Synthesis and scaled-up of standard and active Belite-Alite-Ye'elimite clinker (BAY)
<p><strong>ABSTRACT:</strong> Clinkers with the coexistence of belite-alite-ye´elimite (BAY) are considered as eco-friendly cements due to the reduced CO<sub>2</sub> emissions released during their manufacture. All BAY clinkering parameters have been optimized: raw materials, mineralizers/activators, clinkering conditions and scaled-up methodology. Two types of clinkers were prepared and scaled-up to have ~2 kg: i) standard-BAY (28.4 wt% of b-belite, 41.5 wt% of alite and 17.4 wt% of ye'elimite) by adding CaF<sub>2</sub> and ZnO to the raw mixture; and ii) active-BAY (18.1 wt% of α'<sub>H</sub>-belite, 42.1 wt% of b-belite, 15.8(2) wt% of alite, and 7.7(2) wt% of ye'elimite) by using optimized amounts of CaF<sub>2</sub>, ZnO and B<sub>2</sub>O<sub>3</sub>. The microscopy[P1] study has revealed that primary particle size of belite is larger (~10 µm) in the active clinker than in the standard one (~5 µm). Moreover, ferrite and alite have incorporated most of the Zn and F in their structures in both clinkers, while belite (b and α’<sub>H</sub> forms) has preferentially incorporated sulphur.</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.