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9,882 results for “Scale”
Data for "PIC simulations of overstretched ion-scale current sheets in the magnetotail"
<p>This contains the data for the paper titled: "PIC simulations of overstretched ion-scale current sheets in the magnetotail" by: Harry Arnold and Mikhail Sitnov. See the README.txt file for more information of the data.</p>
Data: Regularized and Opposite spin-scaled functionals from Møller-Plesset adiabatic connection -- higher accuracy at lower cost (arXiv.2307.02715)
<p>Data corresponding to the work <em>Regularized and Opposite spin-scaled functionals from Møller-Plesset adiabatic connection -- higher accuracy at lower cost (</em>https://arxiv.org/abs/2307.02715). </p> <p>The zip file contains:</p> <p>- The data of the S22, NCCE31, S66x8, B30, B30x8, x40 and water hexamers datasets.</p> <p>- the data_com and data_frag files contain E_HF, Ex, MP2-SS, MP2-OS, LDA-int, GEA-int for respectively the complex and sum of the fragments for all the complexes (.npy and .csv).</p> <p>- data_kappa_com and data_frag_com files contain [kappa_os 0.6, kappa_ss 0.6], [kappa_os 0.7, kappa_ss 0.7], ..., [kappa_os 1.7, kappa_ss 1.7] for respectively the complex and sum of the fragments for all the complexes (.npy and .csv).</p> <p>-See README.txt for more information</p>
Experienced Challenges of Adopting Agile Scaling Frameworks: Dataset
<p>Dataset for the paper "Experienced Challenges of Adopting Agile Scaling Frameworks"</p> <p>The data is in one SPSS file, with variable descriptions.</p> <p> </p>
FIGURE 1. Polystichum napoense.—A. Habit.—B. Basal pinna.—C. Upper pinnae.—D. Petiole scales.—E in Polystichum napoense (Dryopteridaceae), a new cave-dwelling fern species from Guangxi, China
FIGURE 1. Polystichum napoense.—A. Habit.—B. Basal pinna.—C. Upper pinnae.—D. Petiole scales.—E. Rachis scales. (Drawn by Yi-Chen Wang based on the holotype).
Dataset (n=1671) of the publication "Engaging small-scale private forest owners for transformative change towards integrative conservation"
<p>The excel file contains the replies of small-scale private forest owners in Lower Saxony, Germany, to certain questions of a survey analyzed within the following publication: “Engaging small-scale private forest owners for transformative change towards integrative conservation” .<br> <br> The questions and responses included in this dataset cover their objectives, management activities, perspectives, and forest stand structures. Further details are provided in the second sheet of the file called “Code explanation”.<br> <br> More information about the methods of data collection can be found in the before-mentioned publication.</p>
Data set for the validation of the Bench scale photocatalytic reactor used in ProjectO D2.3
<p>This data set contain the time profiles of treated water parameters (TOC and pollutant concentration) for the validation of the bench scale PHOTO.CAT reactor</p>
Pore-scale characterization of residual gas remobilization in CO2 geological storage
<p>A decrease in reservoir pressure can lead to remobilization of residually trapped CO<sub>2</sub>. In this study, the pore-scale processes related to trapped CO<sub>2</sub> remobilization under pressure depletion were investigated with the use of high-resolution 3D X-ray microtomography. The distribution of CO<sub>2</sub> in the pore space of Bentheimer sandstone was measured after waterflooding at a fluid pressure of 10 MPa, and then at pressures of 8, 6 and 5 MPa. At each stage CO<sub>2</sub> was produced, implying that swelling of the gas phase and exsolution allowed the gas to reconnect and flow. After production, the gas reached a new position of equilibrium where it may be trapped again. At the end of the experiment, we imaged the sample again after 30 hours. Firstly, the results showed that an increase in saturation beyond the residual value was required to remobilize the gas, which is consistent with earlier field-scale results. Additionally, Ostwald ripening and continuing exsolution lead to a significant change in fluid saturation: transport of dissolved gas in the aqueous phase to equilibriate capillary pressure led to reconnection of the gas and its flow upwards under gravity. The implications for CO<sub>2</sub> storage are discussed: an increase in saturation beyond the residual value is required to mobilize the gas, but Ostwald ripening in turn can allow local reconnection of hitherto trapped gas, thus enhancing migration and may reduce the amount of CO<sub>2</sub> that can be capillary trapped in storage operations.</p>
Electronic Supplement to "Bedload transport's scaling behavior: what if Bagnold was right?"
<p>Here we provide all the data used for our paper entitled "Bedload transport's scaling behavior: what if Bagnold was right?". The deposit contains:</p> <ol> <li>All the Mathematica notebooks used for plotting the figures in the article and its supplement.</li> <li>Five spreadsheets with all the data: pipe-data (bedload data from pipe flows), flume-data (bedload data from laboratory flumes), Data_Bunte (bedload in the Rockies), Data_USFD (bedload in Idaho and Nevada), and Data_other_sites (bedload in other sites)</li> <li>An electronic supplement providing further information.</li> </ol>
A first high-quality vector data of buildings in East Asian countries based on a comprehensive large-scale mapping framework
<p>We generate a high-quality and complete vector data of buildings in East Asian regions, including China, Japan, North Korea, South Korea and Mongolia, filling the gaps in the existing public buildings data.</p>
Passive electroreception in bottlenose dolphins Tursiops truncatus: implication for micro- and large-scale orientation
<p>For the two dolphin species <em>Sotalia guianensis</em> and <em>Tursiops truncatus,</em> it was shown that the vibrissal crypts located on the rostrum represent highly innervated, ampullary electroreceptors and that both species are correspondingly sensitive to weak electric fields. For a comparative assessment of the sensitivity of the bottlenose dolphin's electroreceptive system, we determined detection thresholds for DC and AC electric fields with two bottlenose dolphins. In a psychophysical experiment, the animals were trained to respond to electric field stimuli using the go/no-go paradigm. We show that bottlenose dolphins are able to detect DC electric fields as low as 2.4 &[mu]V cm <sup>-1</sup> and 5.5 &[mu]V cm <sup>-1</sup>, respectively, a detection threshold in the same order of magnitude as those in the platypus and the Guiana dolphin. Detection thresholds for AC fields (1, 5, and 25 Hz) were generally higher than those for DC fields, and the sensitivity for AC fields decreased with increasing frequency. Although the electroreceptive sensitivity of dolphins is lower than that of elasmobranchs, it is suggested that it allows orientation at micro and large scales. In dolphins pursuing benthic foraging strategies, electroreception may facilitate short-range prey detection and target-oriented snapping of their prey. Furthermore, we discuss that the ability to detect weak electric fields may enable dolphins to detect the Earth's magnetic field through induction-based magnetoreception, thus allowing large-scale orientation.</p>
Supporting data for manuscript: "Global-scale evaluation of coastal ocean alkalinity enhancement in a fully-coupled Earth system model"
<p>Supporting data for manuscript: "Global-scale evaluation of coastal<br> ocean alkalinity enhancement in a fully-coupled Earth system model"</p> <p>Authors: Julien Palmieri and Andrew Yool</p> <p>Institute: National Oceanography Centre, European Way, Southampton<br> SO14 3ZH, UK</p> <p>This repository consists of four main sets of files:</p> <p>1. Matlab scripts used for analysis, figure plotting and table<br> preparation</p> <p> Filenames of the format: Figure_??.m</p> <p>2. Raw netCDF output files from UKESM1 for six model experiments</p> <p> Filenames of the format: medusa_c*.nc</p> <p>3. BGCVal processed timeseries shelve files</p> <p> Filenames of the format: u-c*.shelve.txt</p> <p>4. CMM2 processed timeseries netCDF files</p> <p> Filenames of the format: c*_global.nc</p> <p>File sets 2-4 are read and processed by script files in file set 1<br> </p>
New insights on micro-scale variations of geochemical and oxygen isotope compositions in conodont and shark tooth bioapatite: Datasets
<p>The files contain the Research Data for the article entitled <strong>'New insights on micro-scale variations of geochemical and oxygen isotope compositions in conodont and shark tooth bioapatite'</strong>. A table of contents is provided. In summary, the files are: the raw geochemical data (scanning electron microscopy, electron microprobe analysis, stable isotope analysis), and profilometer images showing samples’ topography (please consult the README file) used in the referred article. The data normalisation was given as Supplementary Data in the publication. Any doubt or question about these are welcomed by me (Zoneibe Luz) for discussion or further considerations.</p>
data shown in manuscript "WRF-Comfort: Simulating micro-scale variability of outdoor heat stress at the city scale with a mesoscale model"
<blockquote> <p>data shown in manuscript "WRF-Comfort: Simulating micro-scale variability of outdoor heat stress at the city scale with a mesoscale model"</p> </blockquote>
The linkage between methane fluxes and gross primary productivity at diurnal and seasonal scales on a rice paddy field in Eastern China
<p>The data includes the hourly and seasonal data (eddy flux and meteorological data)</p>
Data from "Connecting large-scale meteorological patterns to extratropical cyclones in CMIP6 climate models using self-organizing maps"
<p>The following files were used as data and analysis in the article "Connecting large-scale meteorological patterns to extratropical cyclones in CMIP6 climate models using self-organizing maps" (<a href="https://doi.org/10.1029/2022EF003211">https://doi.org/10.1029/2022EF003211</a>). In the study, we applied self-organizing maps (SOMs) as an automated machine-learning approach to characterize the large-scale meteorological patterns (LSMP) and associated frequency and intensity of discrete extratropical cyclone (ETC) events over the northeastern U.S. The dominant patterns of geopotential height variability are identified through SOM analysis of five reanalysis products during 1980 - 2019. ETC events are tracked using TempestExtremes and are integrated with SOMs to classify the accumulated cyclone activity associated with each pattern. We then evaluate the skill of CMIP6 historical experiments in simulating the LSMP and ETC events identified in the SOM. Please see the published paper for more details. Here we have archived: </p> <p>- data pre-processing scripts</p> <p>- code to run the self-organizing map analysis</p> <p>- code to calculate the SOM and ETC statistics</p> <p>- composites of 500-hPa geopotential height for each dataset as organized by the SOM</p> <p>- ETC tracking script and tracking output for each dataset</p> <p>- SOM output for each dataset </p>
Data associated with study on winter activity of crapemyrtle bark scale
<p>These data files are associated with a study on the winter activity of crapemyrtle bark scale.</p>
Alves, W. F./Connectivity and climate influence diversity-stability relationships across spatial scales in European butterfly metacommunities
<p>First release of the codes in support of 'Connectivity and climate influence diversity-stability relationships across spatial scales in European butterfly metacommunities'</p>
The relationships of plant species occupancy to niches and traits vary with spatial scale
<p>Aim: Support for different underlying mechanisms of species occupancy is inconsistent, yet this could be related to spatial scale. Since abiotic filtering typically acts at broader scales than biotic interactions, we hypothesise that occupancy could be more driven by species' abiotic niche (i.e., tolerance and preference of abiotic conditions) at broad scales, whereas species' traits affecting competitive ability could be more important at fine scales. Here we test these hypotheses by assessing relationships of occupancy to niche and trait metrics across spatial scales.</p> <p>Location: Four study areas located north of Arctic Circle.</p> <p>Taxon: Vascular plants.</p> <p>Methods: We derived occupancy for 106 species at four spatial scales (Micro-scale with plot size of 0.04 m <sup>2</sup> and extent of 2 km, Local-scale with plot size of 4 m <sup>2</sup> and extent of 40 km, Regional-scale with plot size of 4 ha and extent of 800 km, and Polar-scale with plot size of 4 km <sup>2</sup> and extent of 5200 km). We then assessed using generalized additive models whether the relationships between occupancy and species' niche breadth, niche marginality, intraspecific trait variability (ITV) and trait distinctiveness vary across the scales.</p> <p>Results: At the finer scales, ITV (especially of specific leaf area) had the highest contribution with positive relationship in explaining occupancy. At the broader scales, occupancy was better explained by niche metrics. Especially at the broadest scale, the occupancy had a positive relationship with species' climatic tolerance.</p> <p>Main conclusions: Abiotic filtering, especially related to macro-climate, drives species occupancy at broader spatial scales while biotic interactions are relatively more important at local scales. This scale-dependency of factors behind species occupancy should be accounted for when, for example, planning conservation of rare species, forecasting invasions, or anticipating the effects of changing climate on biota at local versus global scales.</p>
Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutation at the protein universe scale
<p>Pythia computed all single mutations of <em>E.coli</em> proteome, high quality high quality of Swiss-Prot structures and thermophilic proteins used in analysis.</p>
Data from: Hierarchical power control of a large-scale wind farm by using a data-driven optimization method
<p><span>With the participation in automatic generation control (AGC), a large-scale wind farm should distribute the real-time AGC signal to numerous wind turbines (WTs). This easily leads to an expensive computation for a high-quality dispatch scheme, especially considering the wake effect among WTs. To address this problem, a hierarchical power control (HPC) is constructed based on the geographical layout and electrical connection of all the WTs. Firstly, the real-time AGC signal of the whole wind farm is distributed to multiple decoupled groups in proportion of their regulation capacities. Secondly, the AGC signal of each group is distributed to multiple WTs via the data-driven surrogate-assisted optimization, which can dramatically reduce the computation time with a small number of time-consuming objective evaluations. Besides, a high-quality dispatch scheme can be acquired by the efficient local search based on the dynamic surrogate. The effectiveness of the proposed technique is thoroughly verified with different AGC signals under different wind speeds and directions.</span></p>
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.