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11,506 results for “Dynamics”
DESP: Demixing Cell State Profiles from Dynamic Bulk Molecular Measurements
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Suppelementary files for the article "A visualisation of flow dynamics in tide dominated unconfined coastal aquifers by using physical experiments"
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Exploring the growth dynamics of size-selected carbon atomic wires with in situ UV Resonance Raman spectroscopy
<p>Data repository for the paper "Exploring the growth dynamics of size-selected carbon atomic wires with in situ UV Resonance Raman spectroscopy"<br>Read carefully the README files included in the folder to understand how to use the data. For any requests or doubts, email me at pietro.marabotti@polimi.it</p>
TRACE-Soils, Dynamics and kinetics of phosphatase activity in European agricultural soils under long-term tillage reduction practices
<p>This dataset contains information of chemical, physical and biological soil parameters including phosphatase activities and kinetics from seven long term agricultural fields throughout Europe under different tillage practices (no-tillage, reduced tillage and standard tillage) at two sampling depths (0 - 10 and 10 - 20 cm). This dataset is linked to the publication Tamara Gómez-Gallego <em>et al. </em>? in Soil Biology and Biochemistry (under review).</p>
Revealing New Insights into the Dynamics of Human Aromatase Interacting with Cytochrome P450 Reductase in a Realistic Membrane Environment
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Discovery of Dynamical Heterogeneity in a Supercooled Magnetic Monopole Fluid
<p>.mat binary files of Noise and .csv Susceptibilty Measurements of DTO.</p>
Spatial Characteristics and Dynamic Mechanisms of the Antarctic Slope Current in the Ross Sea
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Dynamics of heights and stem diameters in short-rotation woody crops (SRWCs) in NE of Romania
<p>Data are collected from short-rotation woody crops (SRWCs) installed in NE Romania (close to the border with Ukraine), located in the hilly area (Suceava county), at an average altitude of 350 m. SRWCs were installed in 2014–2016 with two hybrid poplar clones: AF8 (P. x generosa 103-86 x P. trichocarpa PEE) and Pannonia (P. x euramericana), at a planting spacing of 3 x 2 m (with 1667 trees/ha), from rods (2 m long cuttings) as planting material. The rods were planted in the soil using a planting machine at a depth of 0.6 m. During each growing season, regular maintenance work was carried out.</p> <p>The inventory was carried out after 5, 6, and 7 growing seasons, and the choice of sample areas (3 x 10 trees for each variant) was made to avoid marginal influences. Heights (m) was measured on trees at ground level using a router (ensuring 1 cm accuracy) for each year/season of growth in the trunk node (insertion site of lower-order trunk segments). Diameters (cm) were measured on the trunk at one metre intervals (from the base to the top, where it was a whole multipu -1 m) using forest calipers, ensuring an accuracy of 0.1 cm.</p> <p>The height data can be used to generate the evolution of height growth for each crop variant. Results can be compared between growing seasons for total values. From base to top, diameter can generate the shape of the tree stem, comparing the two clones analysed in relation to planting density.</p>
MAL04 System dynamics model for the Charente River basin and its coastal zone (France)
<p>This dataset includes the model developed by the H2020 COASTAL project’s MAL #4 for the Charente River basin and its coastal zone. It also includes the data necessary to perform model simulations and the data representing three development scenarios co-designed with local stakeholders to envision possible futures of the territory (cf. <a href="https://doi.org/10.5281/zenodo.7074941">https://doi.org/10.5281/zenodo.7074941</a>). The model, developed in system dynamics language (software Vensim), simulates the interactions between water management, shellfish farming, agriculture, population & tourism, and infrastructure development around their common water resource and under the influence of external uncertainties (climate and agricultural prices). The model was designed in order to identify and improve possible land-sea synergies between these activities, with the aim to reach a sustainable, robust and desirable future for the territory.</p>
Repeatome dynamics in plant genome evolution
<p>Lecture.</p>
Data related to the article "Molecular dynamics simulations for the prediction of thermophysical properties of plutonium-based molten salts"
<p>Contains input files and data used to generate the figures of the article:</p> <p>Molecular dynamics simulations for the prediction of thermophysical properties of plutonium-based molten salts<br>(Giovanni Pireddu*, Mirella Simoes Santos*, David Lambertin, Timothée Kooyman)<br><br>*:Equal contribution</p> <p>Journal of Nuclear Materials<br>DOI: https://doi.org/10.1016/j.jnucmat.2024.155124</p> <p>The folder EXAMPLE_INPUT_FILES contains typical MetalWalls(https://doi.org/10.21105/joss.02373) (repository(https://gitlab.com/ampere2/metalwalls)) input files used to perform the molecular simulations.</p> <p>The folder DATA_FIGURES contains the processed data used to plot the figures of the paper (see below).</p> <p><br>Figure 2:<br>- 'Fig2_Density.dat' : density as a function of temperature (binary system, calculated from MD simulations)</p> <p>Figure 3:<br>- 'Fig3_HCap.dat' : heat capacity as a function of temperature (binary system, calculated from MD simulations)</p> <p>Figure 4:<br>- 'Fig4_Density.dat' : density as a function of temperature (ternary system, calculated from MD simulations)</p>
Quantum trajectory entanglement in various unravelings of Markovian dynamics
<p>The cost of classical simulations of quantum many-body dynamics is often determined by the amount of entanglement in the system. In this paper, we study entanglement in stochastic quantum trajectory approaches that solve master equations describing open quantum system dynamics. First, we introduce and compare adaptive trajectory unravelings of master equations. Specifically, building on Ref. [Phys. Rev. Lett. 128, 243601 (2022)], we study several greedy algorithms that generate trajectories with a low average entanglement entropy. Second, we consider various conventional unravelings of a one-dimensional open random Brownian circuit and locate the transition points from area- to volume-law-entangled trajectories. Third, we compare various trajectory unravelings using matrix product states with a direct integration of the master equation using matrix product operators. We provide concrete examples of dynamics, for which the simulation cost of stochastic trajectories is exponentially smaller than the one of matrix product operators.</p>
Trajectory of DYRK1A-Q17 Complex from 200-ns Molecular Dynamics Simulation
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Supplemental data: Telomere dynamics in mammals in the reflection of the pace of life
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FIGURE 2 in A host, a parasite, and a predator: the dynamics of successive invasions in the eastern Mediterranean
FIGURE 2. Carapace width of Charybdis longicollis collected off Ashdod at 60 m depth. Legend: stripes—unparasitized crabs; black dots—internally parasitized crabs; white dots—externa-bearing crabs; males on the left, females on the right.
DYNAMISM - Postprocessed Execution Traces Of Android Malware and Benign Apps
<p>Protection against malware is particularly relevant on systems running the Android operating system, due to its huge use base and, therefore, its potential for monetization from the attackers.</p> <p>Protection against malware is particularly relevant in systems running the Android operating system, due to its huge users’ base and, therefore, its potential for monetization from the attackers.</p> <p>Dynamic malware detection has been widely adopted by the scientific community but not yet in practical applications.</p> <p>We release <em>DYNAMISM (Dynamic Analysis of Malware)</em>, a dataset containing execution traces of both benign and malicious applications running on Android OS, in order to facilitate further research as well as to facilitate the adoption of dynamic detection in practice. The dataset contains execution traces from 2,386 benign applications and 2,495 malicious applications taken from the Malware Genome Project repository [<a href="http://www.malgenomeproject.org/">http://www.malgenomeproject.org</a>] and from Drebin Dataset [<a href="https://www.sec.cs.tu-bs.de/~danarp/drebin/">https://www.sec.cs.tu-bs.de/~danarp/drebin/</a>]. Execution records were obtained by running the applications, one at a time, on the Android emulator. For each application, a maximum of 2,000 stimuli were applied with a maximum execution time of 10 minutes. For most of the applications, all the stimuli could be applied in this timeframe. In some of the traces none of the two limits is reached due to emulator hiccups. Collected features are related to the memory and CPU usage, network interaction and system calls and their monitoring is performed with a period of two seconds. The Android emulator of the Android Software Development Kit for Android 4.0 (release 20140702) was used. To guarantee that the system was always in a mint condition when a new sample is started, thus avoiding possible interference (e.g., changed settings, running processes, and modifications of the operating system files) from previously run samples, the Android operating system was each time re-initialized before running each application. The application execution process was automated by means of a shell script that made use of Android Debug Bridge (adb) and that was run on a Linux PC. The Monkey application exerciser was used in the script as a generator of the aforementioned stimuli. The Monkey is a command-line tool that can be run on any emulator instance or on a device; it sends a pseudo-random stream of user events (stimuli) into the system, which acts as a stress test on the application software.</p> <p>In this dataset, we provide both per-app CSV files as well as unified files, in which CSV files of single applications have been concatenated. The CSV files contain the features extracted from the raw execution record. The provided files are listed below:</p> <ul> <li> <p>benign-per_app-csv.zip - features obtained by executing benign applications, one CSV per application</p> </li> <li> <p>benign-unified-csv.zip - features obtained by executing benign applications, only one CSV file</p> </li> <li> <p>malicious-per_app-csv.zip - features obtained by executing malicious applications, one CSV per application</p> </li> <li> <p>malicious-unified-csv.zip - features obtained by executing malicious applications, only one CSV file</p> </li> </ul>
Datasets for Combining Dynamic & Static Scheduling in High-level Synthesis
<p>Benchmark datasets for Combining Dynamic & Static Scheduling in High-level Synthesis.</p>
Figure 3 in Temporal dynamics of parasite populations and communities of blue sea catfish Ariopsis guatemalensis (Günther, 1864), in a eutrophic coastal lagoon from Mexican Pacific
Figure 3. Non-metric multidimensional scaling (nMDS) plot for parasite communities in Ariopsis guatemalensis from Tres Palos lagoon. Ellipses represent similarity levels between sampling months.
Animations of the Longitudinal Beam Dynamics lecture - Proceedings of the Joint Universities Accelerator School (JUAS)
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FIG. 3 in Patch Dynamics Inform Management Decisions in a Threatened Frog Species
FIG. 3. Movements of telemetered juvenile Crawfish Frogs after release near their natal wetland, Nate's Pond (Hillenbrand Fish and Wildlife AreaWest, Greene County, Indiana). Individuals tracked in 2011 (n ¼ 25) are separated into (A) and (B) to reduce confusion from crossing telemetered paths. We released all the juveniles at the same point (the centered yellow circle) and attempted to relocate individuals every morning during the daylight. We released telemetered juveniles in 2015 (n ¼ 12) at artificial burrows created between 5 and 330 meters from the drift fence (C). Each colored circle represents a relocation point for an individual. The largest circle for each colored path indicates the artificial burrow release site for that individual. Large circles without lines show frogs that did not disperse. Black arrows indicate Nate's Pond. Scale bar ¼ 100 m.
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.