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545 results for “Synchronization”
Molecular mechanism for the synchronized electrostatic coacervation and co-aggregation of alpha-synuclein and tau
<p><strong><em>The following metadata refers exclusively to electron paramagnetic resonance (EPR) measurements, which represent the contribution of the PARACAT students to this work</em></strong></p> <ul> <li><strong>Data type</strong>: EPR spectroscopic measurements and simulations</li> <li>Files are in <strong>.DTA, .DSC, .m, .mat, and .xlxs, </strong>formats</li> <li>Information on <strong>origin of the data</strong>: <ul> <li>EPR spectroscopic measurements in <strong>.DTA </strong>and<strong> .DSC</strong> formats</li> <li>EPR spectroscopic simulation and analyses in .<strong>m </strong>and<strong> .mat</strong> format</li> <li>“Ready-to-plot”, processed EPR spectra are in <strong>.xlxs</strong> format.</li> </ul> </li> <li>The data are <strong>generated</strong> by: <ul> <li>CW-EPR measurements were performed with a Bruker ELEXSYS E580 X-band spectrometer equipped with a Bruker ER4118 SPT-N1 resonator operating at a microwave (MW) frequency of ∼9.7 GHz. The temperature was set to 25 °C and controlled by a liquid nitrogen cryostat.</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>If the dataset includes multiple files that relate to each other:</strong> <ul> <li>Files in <strong>PARACAT_WP3_20221219_EPR </strong>folder includes EPR spectroscopic measurements and computer simulations/analyses, original data are in <strong> .DTA/.DSC</strong> formats; files in .<strong>m</strong> format were used to process the data.</li> </ul> </li> </ul> <p>NB. See the “READ ME” text file for more detailed information on files organization.</p> <p> </p> <ul> <li><strong>Information on</strong>: <ul> <li>Abbreviations: <ul> <li><strong>avg</strong> = averaged</li> <li><strong>aS_24</strong> = alpha-synuclein protein with TEMPOL spin label at position 24 of the polypeptidic chain</li> <li><strong>aS_122</strong> = alpha-synuclein protein with TEMPOL spin label at position 122 of the polypeptidic chain</li> <li><strong>pLK</strong> = poly-lysine</li> <li><strong>Tau441</strong> = Tau protein with complete amino-acid sequence</li> <li><strong>Tau_DNt</strong> = truncated Tau protein lacking N-terminal (see paper methods for further details)</li> </ul> </li> <li>Units of measurement: <ul> <li>Temperature: <strong>°</strong><strong>C</strong> (Celsius)</li> <li>Microwave Frequency: <strong>GHz</strong> (Giga-Hertz), <strong>MHz</strong> (Mega-Hertz), <strong>kHz</strong> (kilo-Hertz)</li> <li>Microwave Power: <strong>mW</strong> (milli-Watt)</li> <li>Magnetic Field: <strong>mT</strong> (milli-Tesla)</li> <li>Time: <strong>s</strong> (seconds)</li> <li>Concentration: <strong>μM</strong> (micro-Molar), <strong>% w/v</strong> (percentage weight-volume)</li> </ul> </li> </ul> </li> </ul>
Datasets for "Mass-stream trajectories with non-synchronously rotating donors"
<p>Datasets to accompany the publication of the paper "Mass-stream trajectories with non-synchronously rotating donors" by David Hendriks and Rob Izzard (<a href="https://doi.org/10.1093/mnras/stad2077">https://doi.org/10.1093/mnras/stad2077</a>).</p> <p>Below follows an explanation of the contents of this repository:</p> <ul> <li>Hendriks2023_ballistic_stream_datafile.csv: Data file containing the ballistic trajectory data for a ranges of initial stream velocity, donor synchronicity and mass ratio. This file contains a header with extra information.</li> <li>Hendriks2023_ballistic_stream_metadata.json: Settings file containing the configuration for the ballistic stream integration simulations and other meta data.</li> <li>Hendriks2023_binary_populations_exploration_data_Z0.02.csv: Data file containing the binary population data at Z=0.02. This file contains a header with extra information.</li> <li>Hendriks2023_binary_populations_exploration_metadata.json: Settings file containing the configuration for the binary population synthesis simulations, including binary_c-python settings, binary_c information and other meta data.</li> <li>RLOF_Hendriks2023_roche_lobe_interpolation_table.csv: Data file containing Roche-lobe radius data for a range of donor synchronicity and mass ratio (q=M_acc/M_don).</li> <li> readme.md: readme file.</li> </ul>
Synchronous transmissions on Bluetooth 5 and IEEE 802.15.4 - A replication study
<p>Archive of the following GitHub repository: <a href="https://github.com/romain-jacob/ST_data_and_viz">https://github.com/romain-jacob/ST_data_and_viz</a></p> <p>This repository contains the raw data and analysis scripts of a replication study of synchronous transmissions using the <a href="https://www.nordicsemi.com/en/Software%20and%20tools/Development%20Kits/nRF52840%20Dongle">nRF52840 Dongle</a> where we compare the success rate of synchronous transmission attempts using two transmitters while varying a number of parameters. The repository also contains the source code of a data visualization application, which you can either</p> <ul> <li>run locally or</li> <li><a href="https://github.com/romain-jacob/ST_data_and_viz/blob/master/URL">online in your web browser</a> at <a href="http://explore-st-data.ethz.ch/">http://explore-st-data.ethz.ch/</a></li> </ul> <p>The study is described in more details in the following publication.</p> <blockquote> <p><strong>Synchronous transmissions on Bluetooth 5 and IEEE 802.15.4 - A replication study</strong><br> Romain Jacob, Anna-Brit Schaper, Andreas Biri, Reto da Forno, Lothar Thiele<br> <a href="https://cpsbench20.ethz.ch/">CPS-IoTBench'20</a><br> [ <a href="https://openreview.net/forum?id=BSZPNEUHiS2">Direct link</a> ]</p> </blockquote> <p>The dataset has been collected during the <a href="https://doi.org/10.3929/ethz-b-000375332">Master thesis of Anna-Brit Schaper.</a></p>
Short-Term Synchronous and Asynchronous Ambient Noise Tomography in Urban Areas: Application to Karst Investigation
<p>We used DSurfTomo (<a href="https://github.com/HongjianFang/DSurfTomo">HongjianFang/DSurfTomo: Direct inversion of surface dispersion data based on ray tracing (github.com)</a>) for the tomography.</p> <p>ABC2_2023.dat is the travel time of C1 and C2 cross-correlation functions, used in our tomography.</p> <p>ManualDSurfTomoV1.3.pdf is the manual of DSurfTomo, including the data format description for ABC2_2023.dat.</p> <p>yunqiVs3D.txt is the interpolated 3D Vs model, including longitude, latitude, depth (meter), Vs (m/s).</p> <p>Previous version error: I forgot to write the Vs value.</p>
ECHAM6 verification without top 10 layers synchronization and with less physics schemes
<p>Verification of ECHAM6 nudging module when ECHAM6 has synchronized to its own outputs.</p> <p>Some physics schemes are switched off as the following namelist was used.</p> <p> </p> <p>&physctl<br> LCOVER = .false.<br> lphys=.true.<br> lconv=.false.<br> lgwdrag=.false.<br> lrad=.true.<br> lsurf=.false.<br> lvdiff=.false.<br> lcond=.false.<br> /</p> <p> </p> <p>Files and description:</p> <ul> <li>ndg_197102.nc <ul> <li>ECHAM6 grb output converting to netcdf format as a reference data for ECHAM6 nudging module</li> </ul> </li> <li>diff_t_197102_gp_rmse.nc <ul> <li>Spatial root mean square errors on all levels and at all outputs (6 hourly).</li> <li>RMSE between ECHAM6 output (echam6_nudging_grb_T63_197102.01_echam) and reference data (ndg_197102.nc)</li> </ul> </li> <li>namelist.echam <ul> <li>namelist used to run ECHAM6 nudging case, in which nudging is expected to only apply to layer 11 to 47.</li> </ul> </li> <li>Four ECHAM6 outputs when nudging module is switched on <ul> <li>echam6_nudging_grb_T63_197102.01_echam</li> <li>echam6_nudging_grb_T63_197102.01_echam.codes</li> <li>echam6_nudging_grb_T63_197102.01_nudg</li> <li>echam6_nudging_grb_T63_197102.01_nudg.codes</li> </ul> </li> <li>Two log files generated by ECHAM6 executable <ul> <li>r_nudging_err</li> <li>r_nudging_log</li> </ul> </li> </ul>
ECHAM6 verification without top 10 layers synchronization
<p>Verification of ECHAM6 nudging module when ECHAM6 has synchronized to its own outputs.</p> <p>Files and description:</p> <ul> <li>ndg_197102.nc <ul> <li>ECHAM6 grb output converting to netcdf format as a reference data for ECHAM6 nudging module</li> </ul> </li> <li>diff_t_197102_gp_rmse.nc <ul> <li>Spatial root mean square errors on all levels and at all outputs (6 hourly).</li> <li>RMSE between ECHAM6 output (echam6_nudging_grb_T63_197102.01_echam) and reference data (ndg_197102.nc)</li> </ul> </li> <li>namelist.echam <ul> <li>namelist used to run ECHAM6 nudging case, in which nudging is expected to only apply to layer 11 to 47.</li> </ul> </li> <li>Four ECHAM6 outputs when nudging module is switched on <ul> <li>echam6_nudging_grb_T63_197102.01_echam</li> <li>echam6_nudging_grb_T63_197102.01_echam.codes</li> <li>echam6_nudging_grb_T63_197102.01_nudg</li> <li>echam6_nudging_grb_T63_197102.01_nudg.codes</li> </ul> </li> <li>Two log files generated by ECHAM6 executable <ul> <li>r_nudging_err</li> <li>r_nudging_log</li> </ul> </li> </ul>
Experimental datasets of networks of nonlinear oscillators: Structure and dynamics during the path to synchronization
<p>The analysis of the interplay between structural and functional networks require experiments where both the specific structure of the connections between nodes and the time series of the underlying dynamical units are known at the same time. However, real datasets typically contain only one of the two ways (structural or functional) a network can be observed. Here, we provide experimental recordings of the dynamics of 28 nonlinear electronic circuits coupled in 20 different network configurations. For each network, we modify the coupling strength between circuits, going from an incoherent state of the system to a complete synchronization scenario. Time series containing 30000 points are recorded using a data-acquisition card capturing the analogic output of each circuit. The experiment is repeated three times for each network structure allowing to track the path to the synchronized state both at the level of the nodes (with its direct neighbors) and at the whole network. These datasets can be useful to test new metrics to evaluate the coordination between dynamical systems and to investigate to what extent the coupling strength is related to the correlation between functional and structural networks.</p> <p>We provide the times series of N=28 Rössler electronic oscillators for 20 different network configurations (compressed file with tag R1 to R20). For each network structure, we recorded the times series for 101 different coupling strengths between oscillators. Each one of the 101 corresponding files is labeled as ST_X_Y.dat where X is a value between X=0 and X=100 that corresponds, respectively, to the minimum and maximum coupling strength. The value of Y corresponds to the repetition number, which can be 1, 2 of 3 (i.e., we repeated the same experiment three times). Data files contain the second variable of the 28 nodes arranged in columns with a length of 30000 points. In a second file named Structure.zip, all the network structures are given, each file having a name Net_R.dat, where R=1, 2… 20. The degree of each node (i.e., number of output connections) is the same for all network configurations, where the specific neighbors of each node are re-arranged randomly.</p>
Universal theory of brain waves: from linear loops to nonlinear synchronized spiking and collective brain rhythms (supplemental material: brain wave loops movies)
<p>This is a collection of videos supplementing the paper "Universal theory of brain waves: from linear loops to nonlinear synchronized spiking and collective brain rhythms"</p> <p>Examples of wave trajectories and emergent persistent loop patterns for the spherical shell cortex model with<br> varying amounts of tensor anisotropy and inhomogeneous shell layer thickness.</p> <p><br> Examples of brain wave trajectories and emergent persistent loop patterns for cortical fold geometry with different<br> approaches used for estimation of inhomogeneity and anisotropy. Among those examples are several simple cases with variable inhomogeneity and fixed anisotropy (similar to the above spherical shell cortex model) as well as with more complex estimates of anisotropy based on multiple diffusion gradients MRI (dMRI) acquisitions.</p>
Data for: Land use change and coastal water darkening drive synchronous dynamics in phytoplankton and fish phenology on centennial time scales
<p>At high latitudes, the suitable window for timing reproductive events is particularly narrow, promoting tight synchrony between trophic levels. Climate change may disrupt this synchrony due to diverging responses to temperature between e.g. the early life stages of higher trophic levels and their food resources. Evidence for this is equivocal, and the role of compensatory mechanisms are poorly understood. Here, we show how a combination of ocean warming and coastal water darkening drive long-term changes in phytoplankton spring bloom timing in Lofoten Norway, and how spawning time of Northeast Arctic cod responds in synchrony. Spring bloom timing was derived from hydrographical observations dating back to 1936, while cod spawning time was estimated from weekly fisheries catch and roe landing data since 1877. Our results suggest that land use change causing coastal water darkening has gradually delayed the spring bloom up to 1990 after which ocean warming has caused it to advance. The cod appear to track phytoplankton dynamics by timing gonadal development and spawning to maximize overlap between offspring hatch date and predicted resource availability. This finding emphasises the importance of land-ocean coupling for coastal ecosystem functioning, and the potential for fish to adapt through phenotypic plasticity.</p>
Hyperscanning brain-computer interface based on synchronous and asynchronous interindividual SSVEP signals
<div> <p>Here we provide hyperscanning EEG (electroencephalogram) data recorded during BCI (brain-computer interface) control. The BCI was intended for the decoding of brain synchrony during visual stimulation, specifically the stimuli flickered at two different fequencies.<br>Each of seven pairs of participants performed more than 100 trials, which included 5s visual stimulation of synchronous or asynchronous flicker. See the PDF file for detailed description.</p> </div>
Similarity data set used to test Synchronous Growth Changes (SGC) on dendrochronological data using tree-ring series from the ITRDB
<p>Dataset used to test the SGC, SSGC and AGC in:</p> <div> <div>Visser, RM. 2021 On the similarity of tree-ring patterns: Assessing the influence of semi-synchronous growth changes on the Gleichläufigkeitskoeffizient for big tree-ring data sets. <em>Archaeometry</em> 63(1): 204–215. DOI: <a href="https://doi.org/10.1111/arcm.12600">https://doi.org/10.1111/arcm.12600</a>.</div> </div> <p>The dataset contains the database used in this study</p> <ul> <li><em>itrdb_structure.sql</em> described the structure of the database (PostgreSQL/PostGIS)</li> <li>Tables <ul> <li><em>GC_??_tbl</em> are tables with ?? denoting the continent (see below) containg the comparisons between tree-ring series and the growth changes <ul> <li>The following columns are present: <ul> <li>ID1 and ID2: These are the ID's of the series compared.</li> <li>SGC: Synchronous Growth Changes</li> <li>SSGC: Semi Synchronous Growth Changes</li> <li>Overlap: the number of tree-rings compared</li> </ul> </li> <li>Data files with values in each table. The continents are as defined in the ITRDB (https://www.ncei.noaa.gov/access/paleo-search/?dataTypeId=18) <ul> <li>GC_af_tbl_202005 (Africa)</li> <li>GC_as_tbl_202005 (Asia)</li> <li>GC_au_tbl_202005 (Australia)</li> <li>GC_ca_tbl_202005 (Canada)</li> <li>GC_eu_tbl_202005 (Europe)</li> <li>GC_mx_tbl_202005 (Mexico)</li> <li>GC_sa_tbl_202005 (South America)</li> <li>GC_us_tbl_202005 (North America)</li> </ul> </li> </ul> </li> <li><em>headers</em>: <ul> <li>The following columns are present: <ul> <li>continent: two letter code of the continent (ITRDB)</li> <li>filename: orginal filename as deposited in the ITRDB</li> <li>line_nr: line number of the header</li> <li>header_text: text of the header related to the line number</li> </ul> </li> <li>Datafile: headers_201905222007.csv</li> </ul> </li> <li><em>names</em>: <ul> <li>The following columns are present: <ul> <li>filename: orginal filename as deposited in the ITRDB</li> <li>name_orig: orginal name of the tree-ring series as deposited in the ITRDB</li> <li>name_new: the IDs of the tree-ring series were replaced with a two‐letter code for the continent (AF, AS, AU, CA, EU, SA, US) and a sequence code to prevent duplicate IDs. These are used as ID1 and ID2 in the tables <em>GC_??_tbl</em></li> </ul> </li> <li>Datafile: names_201905240643.csv</li> </ul> </li> </ul> </li> <li>file: <em>geo_location_201906250635.csv</em> <ul> <li>Contains the locations related to each site in the database</li> <li>The following columns: <ul> <li>filename: orginal filename as deposited in the ITRDB</li> <li>continent: two letter code of the continent (ITRDB)</li> <li>lat: latitude</li> <li>long: longitude</li> <li>geom_point: WGS84 coordinates expressed as well-known text (WKT)</li> </ul> </li> </ul> </li> </ul> <p>For the related code, see also: </p> <p>Ronald Visser. (2022). Code and data related to semi-synchronous growth changes and the similarity of tree-ring patterns (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7157738</p> <p>Or: https://github.com/RonaldVisser/SGC</p>
Data from: Ecological and anthropogenic drivers of waterfowl productivity are synchronous across species, space, and time
<p>We used hierarchical random-effects models to examine interspecific and spatial variation in annual productivity in six migratory ducks (i.e., American wigeon [<em>Mareca americana</em>], blue-winged teal [<em>Spatula discors</em>], gadwall [<em>Mareca strepera</em>], green-winged teal [<em>Anas crecca</em>], mallard [<em>Anas platyrhynchos</em>] and northern pintail [<em>Anas acuta</em>]) across six distinct ecostrata in the Prairie Pothole Region of North America (Alberta parkland, Alberta prairie, Saskatchewan parkland, Saskatchewan prairie, Manitoba parkland, US prairie). We tested whether breeding habitat conditions (seasonal pond counts, agricultural intensification, and grassland acreage) or cross-seasonal effects (indexed by flooded rice acreage in primary wintering areas) better explained variation in the proportion of juveniles captured during late summer banding. This submission comprises model code and data of banded birds by species, breeding population survey by species, proportion of ecostratum in conservation tillage (a proxy for agriculutral intensification), proportion of ecostratum in grassland, mean winter precipitation for Pacific Coast and Gulf Coast, total hectares of rice planted in the US, as well as hectares of flooded rice in the Pacific Coast and Gulf Coast. </p>
Mitigation of urbanisation effects on aquatic ecosystems by synchronous ecological restoration
<p>Ecosystem degradation and biodiversity loss have been caused by economic booms in developing countries over recent decades. In response, ecosystem restoration projects have been advanced in some countries but the effectiveness of different approaches and indicators at large spatio-temporal scales (i.e., whole catchments) remains poorly understood. Our datasets with a diverse array of 440 aquatic restoration projects including wastewater treatment, constructed wetlands, plant/algae salvage, and dredging of contaminated sediments implemented and maintained from 2007 to 2017 across more than 2000km2 of the northwest Taihu basin (Yixing, China). Synchronized investigations of water quality and invertebrate communities were conducted before and after restoration. Our datasets showed that even though there was rapid urbanization at this time, nutrient concentrations (NH<sub>4</sub><sup>+</sup>-N, TN, TP) and biological indices of benthic invertebrates (taxonomic richness, Shannon diversity, sensitive taxon density) improved significantly across most of the study area. Improvements were associated with the type of restoration project, with projects targeting pollution sources leading to the clearest ecosystem responses compared with those remediating pollution sinks. However, in some locations, the recovery of biotic communities appears to lag behind nutrients (e.g. nitrogen and phosphorus), likely reflecting long-distance re-colonization routes for invertebrates given the level of pre-restoration degradation of the catchment.</p>
Clock Synchronization Accuracy over Mobile Networks
<pre><code><strong>Dataset: Clock Synchronization Accuracy over Mobile Networks</strong> This dataset evaluates time synchronization accuracy between two devices operating in different mobile network environments and setups. The synchronization is achieved using Precision Time Protocol (PTP) version 2 (PTPv2) over the User Plane within the mobile network. The dataset includes two types of clock offset data: <strong> Calculated Offset:</strong> This data is extracted from the PTPd software logs on the Slave device. Specifically, the "Offset From Master" section in the log files provides the value (in seconds) representing how much the Slave device's internal clock was adjusted to align with the Master clock. However, this value does not represent the exact offset from the Master clock. Instead, it is derived from the PTPv2 synchronization process and reflects the clock adjustment calculated during synchronization. <strong>Pulse-Per-Second (PPS) Offset:</strong> The PPS offset represents the most accurate measurement of clock offset between two devices. It is obtained using an Analog Discovery 2 oscilloscope, which directly compares the PPS signals generated by the Network Interface Card (NIC) timers of both devices. This method provides a high-precision measurement of the synchronization accuracy. <strong>Dataset Structure</strong> Each folder in the dataset contains: Clock offset data: Organized by type (Calculated or PPS). Setup schematics: Detailed diagrams illustrating the complete clock synchronization setup used for data collection. <strong> Additional Information</strong> The data in the folder titled "Clock offset (Pulse-per-second offset) over private 5G SA mobile network" is further described in the following scientific publication: <strong>"Clock Synchronization and Network Delay Evaluation over a Private 5G Standalone Network"</strong> Authors: Marcis Kalnins, Artis Rusins, Atis Elsts.</code></pre>
Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations
<p>Neuronal oscillations, their inter-areal synchronization, and scale-free dynamics constitute fundamental mechanisms for cognition by regulating communication in neuronal networks. These oscillatory dynamics have large inter-individual variability that is partly heritable. We hypothesized that this variability could be partially explained by genetic polymorphism in neuromodulatory genes. We recorded resting-state magnetoencephalography (MEG) from 82 healthy participants and investigated whether oscillation dynamics were influenced by genetic polymorphisms in Catechol-O-methyltransferase (COMT) Val<sup>158</sup>Met and brain-derived neurotrophic factor (BDNF) Val<sup>66</sup>Met. Both COMT and BDNF polymorphisms influenced local oscillation amplitudes and their long-range temporal correlations (LRTCs), while only BDNF polymorphism affected the strength of large-scale synchronization. Our findings demonstrate that COMT and BDNF genetic polymorphisms contribute to inter-individual variability in neuronal oscillation dynamics. Comparison of these results to computational modeling of near-critical synchronization dynamics further suggested that COMT and BDNF polymorphisms influenced local oscillations by modulating the excitation-inhibition balance according to the brain criticality framework.</p>
Sound examples of an Impulse Pattern Formulation model synchronizing to different click tracks
<p>In the publication, supplemented by these sound examples, the Impulse Pattern Formulation is used to model the synchronization of musicians to a collective tempo. Several click tracks are numerically created, representing eighth notes played by a musician or a metronome for different tempo changes.<br> By replacing every beat with a sound sample, audio files are created for a more musical evaluation of the results. The IPF is represented by a cowbell and the underlying click track with claves. Those sound files are in stereo, whereby the click track is at the left channel, and the IPF's signal is at the right channel. Thus, e.g., the balance potentiometer of a stereo system can be used to blend both sounds freely. The practical examples are:</p> <p><strong>Fig.2:</strong><br> IPF reacts to four different step changes in tempo.</p> <p><strong>Fig.5:</strong><br> The IPF reacting to the same changes in tempo as shown in Figure 2, when changing the tempo linear during 24 beats instead of step changes.</p> <p><strong>Fig.8:</strong><br> IPF adapting to a noisy click track: the upper line (a) and b)) shows white noise, and the lower line (c) and d)) Brownian noise. On the left (a) and c)), the fluctuation is <span class="math-tex">\(\pm1~\%\)</span>, and on the right (b) and d)) <span class="math-tex">\(\pm 5~\%\)</span>.</p> <p><strong>Fig.9:</strong><br> IPF adapting to a sinusoidally modulated click track: the upper line (a) and b)) shows a modulation period of 32 eighth notes, and the lower line (c) and d)) shows a modulation period of 8 eighth notes. On the left (a) and c)), the amplitude is 36 bpm, and on the right (b) and d)) 6 bpm, both centered around 113 bpm.</p> <p><strong>Fig.12:</strong><br> Several scenarios shown in Figures 2, 5, 8, and 9 applied to an extended IPF which considers phase differences: a) step change from 120 to 100 bpm, b) linear change from 120 to 130 bpm, c) <span class="math-tex">\(\pm 5~\%\)</span> Brownian noise added to a 120 bpm click track and d) sinusoidal modulation with a period length of 32 eight notes varied <span class="math-tex">\(\pm 6~bpm\)</span> around 113 bpm.</p> <p><strong>Fig.13:</strong><br> Several scenarios shown in Figures 2, 5, 8, and 9 applied to an extended IPF optimized for polyrhythms: a) step change from 120 to 140 bpm, b) linear change from 100 to 120 bpm, c) <span class="math-tex">\(\pm 5~\%\)</span> Brownian noise added to a 90 bpm click track and d) sinusoidal modulation with a period length of 32 eight notes varied <span class="math-tex">\(\pm 6~bpm\)</span> around 113 bpm.</p> <p>In all Figures, blue lines refer to the tempo of the click track, and red lines correspond to the tempo of the IPF. The single crosses represent single beats.</p> <p>A more in-depth description of how these sounds were synthesized can be found in the publication supplemented by these examples:</p> <p>Linke, S., Bader, R., & Mores, R. (2021). Modeling synchronization in human musical rhythms using Impulse Pattern Formulation (IPF). http://arxiv.org/pdf/2112.03218v1</p>
Widespread ripples synchronize human cortical activity during sleep, waking, and memory recall
<p>These are the data and code for the article 'Widespread ripples synchronize human cortical activity during sleep, waking, and memory recall.' Please cite this article when using these data or code.</p>
Data and Software for "Complex Dynamics in a Synchronized Cell-Free Genetic Clock"
<p>Contains raw data, analysis scripts, simulation scripts, device operation software for the publication: "Complex Dynamics in a Synchronized Cell-Free Genetic Clock".</p>
Time-synchronized Energy Harvesting Traces
<p>32h of time-synchronized energy-harvesting traces from 5 different scenarios involving solar panels and piezoelectric harvesters. The data was recorded with, a measurement tool that records time-synchronized voltage and current traces from one or more energy-harvesting nodes with high rate and resolution.</p> <ul> <li>The <em>jogging</em> dataset comprises traces from two participants, each equipped with two piezoelectric harvester at the ankles and a solar panel at the left wrist. The two participants run together for an hour in a public park, including short walking and standing breaks.</li> <li>For the <em>stairs</em> dataset, we recorded traces from six solar panels that are embedded into the surface of an outdoor stair in front of a lecture hall. Over the course of one hour, numerous students pass the stairs, leading to temporary shadowing effects on some or all of the solar panels.</li> <li>The <em>office</em> dataset comprises traces from five solar panels mounted on the doorframe and walls of an office with fluorescent lights. During the one-hour recording, people enter and leave the office and operate the lights.</li> <li>The <em>cars</em> dataset contains traces from two cars. Each car is equipped with three piezoelectric harvesters mounted on the windshield, the dashboard, and in the trunk. The cars drive for two hours in convoy over a variety of roads.</li> <li>The <em>washer</em> dataset includes five traces from piezoelectric harvesters mounted on a WPB4700H industrial washing machine, while the machine runs a washing program with maximum load for 45 minutes.</li> </ul>
Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space).
<p>Data set from Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space), and figures.</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.