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245 results for “magnitude”
Quantifying the magnitude of storm events that have impacted the Virginia Coast Reserve (2009-2024) using the Cumulative Storm Impact Index (CSII)
This dataset contains a record of storm events along with quantified magnitudes that have impacted the Virginia Coast Reserve between 2009- 2024, minus 2010. We retrieved hourly water level data and monthly datums from the NOAA Tides and Currents database (tidesandcurrents.noaa.gov) for the tide station located in Wachapreague, VA (Station 8631044) to quantify the magnitude of storms using 1) the Storm Erosion Potential Index (SEPI; Zhang et al. 2001), and 2) the Cumulative Storm Impact Index (CSII; Fenster and Dominguez 2022). CSII incorporates the timing and magnitude of previous storms as a measure of cumulative impact, or "storminess". We identified storm events based on storm surge that exceeded two standard deviations (> 2SD) of the average surge and storm tide that exceeded the annual average Mean High Water (MHW) of a semi-diurnal tide (12 hours; SEPI). We then calculated the CSII for each storm as the sum of the SEPI and an exponentially decaying weighting factor (delta) from the previous storm's CSII that accounts for beach recovery that may have occurred between storm events. Here we use delta = 0.3 to best capture storm clustering during the 15 year period (Fenster and Dominguez 2022). Years missing >10% of data were excluded. For detailed methods on the data retrieval process, identifying storms, and quantifying storm magnitude, see Fenster and Dominguez (2022) and Dominguez et al. (2024). We identified a total of 208 storm events with an average of 14.3 events per year +/- 2.3 (SD) and an average annual CSII of 428.1 (m2hr) +/- 196.1 (SD).
Preference ratings and 32 magnitude frequency response curves
<p>This repository comprises two CSV files: PreferenceRatings and MagnitudeFrequencyResponses. The former includes preference ratings obtained from 56 naive assessors (30 Danish---DK, 26 Japanese---JP) of 32 headphone curves over several music programs in several trials. The latter includes the magnitude frequency response curves evaluated by the assessors, expressed as gains of a 30-band graphic equalizer whose bands are centered between 31 Hz and 25 kHz. The curves were either derived from eight popular closed circumaural headphones, measured with a Brüel & Kjær Head and Torso Simulator 5128C, or otherwise obtained from the literature. The details of the methods, results, etc. are published in [1].</p> <p>[1] G. Ravizza, J. Villegas, T. Stegenborg-Andersen, and C. P. Volk, “An over-ear headphone target curve for Brüel & Kjær head and torso simulator type 5128 measurements,” in Proc. 155 Audio Eng. Soc. Conv., Oct 2023.</p> <p> </p>
The Sensitivity of SSVEPs to Variations in Numerical Material for Automatic Processing of Small Magnitudes
<p>We investigated the human ability to automatically process small magnitude information, using an oddball fast-periodic visual stimulation paradigm featuring a periodic alteration of magnitude (2 vs. 4) at a frequency of 1.25 Hz. Participants were exposed to various types of numerical content, such as biological (fingers), analogical (dots), and symbolic (Arabic digits), presented either in their conventional format (canonical) or in alternative formats (non-canonical), all synchronized at a base rate of 6.25 Hz. Our primary objective was to ascertain the sensitivity of steady-state visual evoked potentials (SSVEPs) to subtle small magnitude variations in relation to the specific type of numerical material.</p><p>SSVEPs were consistently observed at the base rate, corresponding to the presentation of the visual stimuli. Variations across conditions in terms of their location is examined, as well as the amplitude of the SSVEPs which is influenced by the type of material presented. Additionally, oddball SSVEPs emerged at a frequency of 1.25 Hz (and its harmonics) for each numerical content, suggesting the ability to discriminating the change of magnitude in each instance. However, the neural response exhibited distinctive characteristics based on the type of material presented. </p><p>These findings demonstrate that SSVEPs, while maintaining consistency in their presence across conditions, exhibit a sensitivity to variations in the type of numerical material, shedding light on the neural processes involved in the automatic processing of small magnitude information.</p>
Earthquake Data for Magnitude and Slip Scaling Relations
<p>Data files useful in earthquake scaling relations. They include compilations of a number of authors.</p> <p>Data files used in papers [Shaw, BSSA, 2013] and [Shaw, BSSA, 2023]. The first set are .txt electronic supplements from [Shaw, 2013]. The second set are a .csv file from [Shaw, 2023] and a .csv file from [Biasi, et al., 2013] used in that paper. Please use the references below if you use the data.</p> <p>-------------------------------------------</p> <p>[Shaw, 2013] files:</p> <p>Bruce E. Shaw,<br> ` Earthquake Surface Slip-Length Data is Fit by Constant Stress Drop and is Useful for Seismic Hazard Analysis',<br> <em>Bulletin of the Seismological Society of America</em>, <em>103</em>, 876, doi:10.1785/0120110258, 2013.</p> <p>The electronic supplement contains four space-delimited plain text tables of data used in the article.</p> <p><strong>File descriptions:</strong></p> <p>Table S1, <strong>BSSA-D-11-00258-esupp_TableS1_dyncm.txt</strong>, contains magnitude-length-width data reproduced from the WGCEP [2003] hazard estimate, taken from a Table in the Appendix D by Ellsworth [2003] USGS Open File Report 03-214.</p> <p>Table S2, <strong>BSSA-D-11-00258-esupp_TableS2.txt</strong>, reproduces a magnitude-area dataset compiled by Hanks and Bakun [2008].</p> <p>Table S3, <strong>BSSA-D-11-00258-esupp_TableS3.txt,</strong> is derived from a surface slip-length dataset compiled by Wesnousky [2008]. Some modifications of this dataset have been made, taking into account new LIDAR results of [Zielke <em>et al.,</em> 2010] of the 1857 M7.8 Fort Tejon event, and the addition of a new large 2008 M7.9 Wenchuan event [Xu <em>et al.,</em> 2009].</p> <p>Table S4, <strong>BSSA-D-11-00258-esupp_TableS4.txt</strong>, combines data from events common to Tables S2 and S3, to enable a comparison of events in common.</p> <p>References</p> <p>Ellsworth, W. L. (2003), Magnitude and area data for strike slip earthquakes, <em>U.S. Geol. Surv. Open File Rep.</em>, 03-214 Appendix D.</p> <p>Hanks, T. C., and W. H. Bakun (2008), M-log A observations of recent large earthquakes, <em>Bull. Seismol. Soc. Am.</em>, <strong>98</strong>, 490.</p> <p>Shaw, Bruce .E (2013)., Earthquake Surface Slip-Length Data is Fit by Constant Stress Drop and is Useful for Seismic Hazard Analysis, <em>Bull. Seismol. Soc. Am.</em>, <strong>103</strong>, 876.</p> <p>Wesnousky, S. G. (2008), Displacement and geometrical characteristics of earthquake surface ruptures: Issues and implications for seismic-hazard analysis and the process of earthquake rupture, <em>Bull. Seismol. Soc. Am.</em>, <strong>98</strong>, 1609.</p> <p>WGCEP (2003), Earthquake probabilities in the San Francisco Bay Region: 2002 to 2031, <em>U.S. Geol. Surv. Open File Rep.</em>, 03-214.</p> <p>Xu, X., X. Wen, G. Yu, G. Chen, Y. Klinger, J. Hubbard, and J. Shaw (2009), Coseismic reverse- and oblique-slip surface faulting generated by the 2008 Mw 7.9 Wenchuan earthquake, China, <em>Geology</em>, <strong>37</strong>, 515, doi:10.1130/G25462A.1.</p> <p>Zielke, O., J. R. Arrowsmith, L. G. Ludwig, and S. O. Akciz (2010), Slip in the 1857 and ear- lier large earthquakes along the Carrizo Plain, San Andreas fault, <em>Science</em>, <strong>327</strong>, 1119, doi: 10.1126/science.1182781.</p> <p>-------------------------------------------</p> <p>[Shaw, 2023] files:</p> <p>Bruce E. Shaw,<br> ` Magnitude and Slip Scaling Relations for Fault Based Seismic Hazard',<br> <em>Bulletin of the Seismological Society of America</em>, 2023.</p> <p><strong>catalogMeanGlobal.csv</strong>: An effort to compile a database from the existing literature of finite source information on recent large and great earthquakes was recently led by a New Zealand group as part of an update to their national seismic hazard model [Stirling, et al., 2022]. They looked globally at M>7.5 shallow earthquakes since 1990, along with an additional subset of the M>7.0 shallow events since 1990 which were less poorly constrained. These events were compiled through an extensive literature review.<br> [Shaw, 2023] took that database and used averages over the width, length, area, magnitudes, and dips from the different sources in the literature for the same events to obtain a finite source data set for each event to analyze further. One issue with this dataset is that the complied data used for the averages did not undergo a thorough review, so there may be potential outliers and problems in individual data points. In aggregate, statistically, it can be useful, which is how it was used. But caution for any individual data point is warranted. It is presented as a useful starting point for further development, It is not a thoroughly vetted or definitive dataset.</p> <p><strong>AppendixR1_TableR2_Biasi_adapted.csv </strong>is adapted from a file compiled and published by [Biasi, et al, 2013]. It contains slip, length, magnitude, and other data for large crustal earthquakes.</p> <p>References</p> <p>Biasi, G. P., R. J. Weldon, and T. E. Dawson (2013). Distribution of slip in ruptures, UCERF3 Appendix F, <em>USGS Open File Report</em>, 2013-1165, Appendix F.</p> <p>Shaw, Bruce E (2023)., Magnitude and Slip Scaling Relations for Fault Based Seismic Hazard, <em>Bull. Seismol. Soc. Am..</em></p> <p>Stirling, M., B. Shaw, M. Fitzgerald, and C. Ross (2022). Selection and evaluation of magnitude - area scaling relations for update of the New Zealand National Seismic Hazard Model, Report to GNS Science NZ, 2022.</p> <p> </p>
Magnitude and predictability of pH fluctuations shape plastic responses to ocean acidification
<p>Phenotypic plasticity is expected to facilitate the persistence of natural populations as global change progresses. The attributes of fluctuating environments that favor the evolution of plasticity have received extensive theoretical investigation, yet empirical validation of these findings is still in its infancy. Here, we combine high-resolution environmental data with a laboratory-based experiment to explore the influence of habitat pH fluctuation dynamics on the plasticity of gene expression in two populations of the Mediterranean mussel, <i>Mytilus galloprovincialis</i>. We linked differences in the magnitude and predictability of pH fluctuations in two habitats to population-specific gene expression profiles in ambient and stressful pH treatments. The results presented demonstrate population-based differentiation in gene expression plasticity, whereby mussels native to a habitat exhibiting a large magnitude of pH fluctuations with low predictability display reduced phenotypic plasticity between experimentally imposed pH treatments. This work validates recent theoretical findings on evolution in fluctuating environments using an ecologically important marine bivalve, and suggests that populations inhabiting regions exposed to unpredictably fluctuating selection pressures may exhibit reduced plasticity as global change progresses.</p>
Flood changes in Europe: Flood peak magnitude and frequency from GRDC stations
The dataset includes results of FLOOD change experiment performed in Virtual Water Science Lab. It consists of three parts: (1) Flood_change_results.txt presents a list of 629 analysed catchments, their characteristics and results of trend analysis. It is a tab delimited text file with 69 columns. (2) Catchments.zip contains a shape file (flood_changes_GRDC.shp) of catchment boundaries of 629 GRDC stations. (3) FloodCHange.R is an R-script used to analyse flood peak changes.
Data from: The magnitude of Allee effects varies across Allee mechanisms, but not taxonomic groups
<p>The Allee effect is a density-dependent phenomenon in which individual fitness increases as population density increases at low population densities. Over the past few decades, a growing number of studies have identified Allee effects in populations using experimental approaches and statistical modelling techniques. These studies have investigated multiple Allee mechanisms (e.g., mate-finding, predation, resource limitation), across a range of systems and taxa (e.g., plants, vertebrates, invertebrates). This meta-analysis aims to synthesize studies that experimentally manipulated population density and measured either per capita population growth or fitness components, with the goal of determining whether the "magnitude" of the Allee effect (defined here as the correlation between population density and population growth or fitness) varies with Allee mechanism across taxonomic groups. A total of 2305 studies were screened, and 62 of these studies met our meta-analysis inclusion criteria. Within these 62 studies, 155 effect sizes encompassing 9 different Allee mechanisms were identified across 5 broad taxa. When grouped by Allee mechanism and taxa, the magnitude of the Allee effect differed across mechanisms, whereas taxonomic group was less useful at explaining variation in the magnitude of Allee effects. Of the nine Allee mechanisms identified, interspecific competition was associated with the strongest Allee effects, followed by fear, pollen limitation and mate limitation. These findings suggest that Allee effects may be more dependent on mechanism than taxa and may function similarly within different taxonomic groups. However, as the majority of experimental Allee effect studies included in this meta-analysis focused on plants and invertebrates, more research is needed on Allee effects in other taxonomic groups to confirm this conclusion. This first quantitative synthesis of Allee effect research in ecology offers novel insight into how Allee mechanisms affect the manifestation of Allee effects in populations, providing important information for ecologists and conservation managers.</p>
Effect of older age and/or ACL injury on the dose–response relationship between ambulatory load magnitude and immediate load-induced change in serum cartilage oligomeric matrix protein
<p>The data presented here was used in the models in the pulication doi <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jshs.2024.100993" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.jshs.2024.100993</span></span></a>.</p> <p>The purpose of this study was to assess the influence of age, anterior cruciate ligament (ACL) injury, and sex on resting sCOMP concentration, on the immediate load-induced sCOMP kinetics after a 30-minute treadmill walking stress, and on the dose-response relationship between ambulatory load magnitude and the load-induced sCOMP change.</p> <p>Overall, data of 85 participants in four groups (20–30 years healthy, HEA<sub>20–30</sub>, n=24; 20–30 years ACL-injured, ACL<sub>20–30</sub>, n=23; 40–60 years healthy, HEA<sub>40–60</sub>, n=23; 40–60 years ACL-injured, ACL<sub>40–60</sub>, n=15) were included in this dataset. ACL injured participants suffered from an ACL injury 2-10 years prior to inclusion. The dateaset includes, patient data and serum cartilage oligomeric matrix protein (sCOMP) concentration measured on three testdays (m1, m2, m3) immediately before (t0) and immediately after 30 minutes of treadmill walking (t1) where the ambulatory loads were 80% bodyweight (BW), 100% BW or 120% BW (block randomized order). This dateset represents a subset of data collected in the parent study.</p> <p>The detailed experimental protocol of the parent study has been described in Herger, S., Vach, W., Nüesch, C., Liphardt, A. M., Egloff, C., & Mündermann, A. (2022). Dose-response relationship of in vivo ambulatory load and mechanosensitive cartilage biomarkers—The role of age, tissue health and inflammation: A study protocol. <em>PLoS One, 17</em>(8), e0272694. <a href="https://doi.org/10.1371/journal.pone.0272694">https://doi.org/10.1371/journal.pone.0272694</a></p>
Dataset: Fano meets Stokes: Four-order-of-magnitude enhancement of asymmetric Brillouin light scattering spectra
<p>Dataset accompanying publication:</p> <p>Rafał Białek, Thomas Vasileiadis, Mikołaj Pochylski, Bartłomiej Graczykowski, Fano meets Stokes: Four-order-of-magnitude enhancement of asymmetric Brillouin light scattering spectra, Photoacoustics, Volume 30, 2023, 100478, ISSN 2213-5979, https://doi.org/10.1016/j.pacs.2023.100478.</p>
Figure 2 in Examining metrics and magnitudes of molecular genetic differentiation used to delimit cetacean subspecies based on mitochondrial DNA control region sequences
Figure 2. Relationship between ΦST and Nei's estimate of net divergence (dA) among cetacean population, subspecies, and species pairs estimated using mitochondrial DNA control region sequence data. Specific values mentioned in the text are numbered: 1 = Neophocaena species; 2 = killer whale populations. The three green squares in the left-hand side of the figure (ΦST <0.07) represent, from bottom to top, the subspecies comparisons for S. attenuata, S. longirostris, and L. obscurus, respectively.
Figure 1 in Examining metrics and magnitudes of molecular genetic differentiation used to delimit cetacean subspecies based on mitochondrial DNA control region sequences
Figure 1. Box and whisker plots showing median and 1st and 3rd quartiles, and minimum and maximum values for six metrics of genetic divergence among cetacean population, subspecies, and species pairs estimated using mitochondrial DNA control region sequence data.
Supporting information for: An assessment of monazite fission-track thermochronology as a proxy for low-magnitude cooling, Catalina-Rincon Metamorphic Core Complex, AZ, U.S.A.
<p><span>The following supporting information contains: The detailed location and age data for the geochronological, isotopic, and geochemical data used in this study, and their associated publications. Detailed thermochronometric data and associated thermal history modelling information for all thermochronology and modelling presented in the study.</span></p>
Dataset for "The Dependence of Solar Flare Magnitude on Sunspot Area During Activity Cycle 24"
<p>Dataset for of Will, Avallone, & Sun (2022), RNAAS, 6, 37 "The Dependence of Solar Flare Magnitude on Sunspot Area During Activity Cycle 24". </p> <p>This is a .cvs file containing the information of 412 solar active regions, including their NOAA numbers, sunspot area, sunspot classification, and the peak GOES soft X-ray flux of the largest flare it produced. The sunspot area data are measured using continuum images from SDO/HMI.</p>
Indicator values for the many-body localization of the Heisenberg spin chain at various energies, system sizes and disorder magnitude
<p>This data set accompanies the preprint <em>Scalable approach to many-body localization via quantum data </em>(arXiv: <a href="https://arxiv.org/abs/2202.08853">2202.08853</a>) and its code, available at <a href="https://github.com/GreschAl/MBLlearning">GitHub</a>.</p> <p>It consists of the numerically obtained indicator values for the many-body localization for the Heisenberg model (see preprint for details and background) for various values of the energy density <span class="math-tex">\(\epsilon = 0.05, 0.1, \dots, 0.9, 0.95\)</span> and for chain lengths <span class="math-tex">\(L = 10, 12, 14\)</span>. For each tuple <span class="math-tex">\((\epsilon,L)\)</span>, there exist two files, representing the training and the test set, respectively. Each such file contains various values of the disorder parameter <span class="math-tex">\(h = 0.5, 1, \dots, 14.5, 15\)</span> with <span class="math-tex">\(N = 1000\ (100)\)</span> sampled realizations of the disorder vector for each <span class="math-tex">\(h\)</span> for the training (test) set, followed by the three calculated values of the three indicators.</p> <p>The data is automatically processable by the code provided in the GitHub repository.</p>
Data from: Robust Estimation of Field Inhomogeneity Map Following Magnitude-Based Water-Fat Separation with Resolved Ambiguity
<p>These data have been uploaded and shared as part of "Robust Estimation of Field Inhomogeneity Map Following Magnitude-Based Water-Fat Separation with Resolved Ambiguity". The data may be used for field inhomogeneity mapping and PDFF/R2* reconstruction. </p> <p>These data were acquired by Perspectum Ltd (https://perspectum.com/) on a healthy volunteer. Informed consent was obtained from the participant. The dataset includes a localizer series and a multi-slice series (magnitude and phase) acquired from a volunteer covering the dome of the liver, heart and lungs:</p> <ul> <li>1-localizer_haste_bh</li> <li>2-I_6_Echo_3D_32_Slice_IDEAL</li> <li>3-I_6_Echo_3D_32_Slice_IDEAL</li> </ul> <p>These data were gathered using a Siemens Prisma 3 Tesla scanner. The main dataset comprises an acquisition with thirty-two slices including the abdominal region, with slices placed away from the isocenter. The acquisition consisted of a 6‐echo (TE1=1.3 ms, ΔTE=1 ms) gradient-recalled echo (GRE) protocol designed to minimize T1 bias (3° flip angle), Pixel Bandwidth = 1565 Hz, and 232 x 256 reconstructed image size, with 5 mm slice thickness and 1.72 x 1.72 mm^2 in-plane resolution. </p>
Population models used in: Method to assess potential magnitude of terrestrial European avian population reductions from ingestion of lead ammunition
<p>Current estimates of terrestrial bird losses across Europe from ingestion of lead ammunition are based on uncertain or generic assumptions. A method is needed to develop defensible European-specific estimates compatible with available data that does not require long-term field studies. We propose a 2-step method using carcass data and population models. The method estimates percentage of deaths diagnosed as directly caused by lead poisoning as a lower bound and, as an upper bound, the percentage of possible deaths from sublethal lead poisoning that weakens birds, making them susceptible to death by other causes. We use these estimates to modify known population-level annual mortality. Our method also allows for potential reductions in reproduction from lead shot ingestion because reductions in survival and reproduction are entered into population models of species with life histories representative of the most groups of susceptible species. The models estimate the sustainability and potential population decreases from lead poisoning in Europe. Using the best available data, we demonstrate the method on two taxonomic groups of birds: gallinaceous birds and diurnal raptors. The direction of the population trends affects the estimate, and we incorporated such trends into the method. Our midpoint estimates of the reduction in population size of the European gallinaceous bird (< 2%) group and raptor group (2.9 – 7.7%) depend on the species life history, maximum growth rate, population trend, and if reproduction is assumed to be reduced. Our estimates can be refined as more information becomes available in countries with data gaps. We advocate use of this method to improve upon or supplement approaches currently being used. As we demonstrate, the method also can be applied to individual species of concern if enough data across countries are available.</p>
Metabolite identification dataset: "Magnitude-Preserving Ranking for Structured Outputs" Brouard et al. (2017)
<p>Metabolite identification dataset used to for the IOKR and MP-IOKR experiments in the publication:</p> <p><a href="https://proceedings.mlr.press/v77/brouard17a.html">"Magnitude-Preserving Ranking for Structured Outputs" by Brouard et al. (2017)</a></p> <p>The code to run the experiments can be found on Github: <a href="https://github.com/aalto-ics-kepaco/iokr_for_metabolite_identification">https://github.com/aalto-ics-kepaco/iokr_for_metabolite_identification</a> (mp-iokr/application/ACML17).</p> <p>The tar-files need to be unpacked.</p> <p> </p>
Limited movement of an avian hybrid zone in relation to regional variation in magnitude of climate change
<p>Studies of natural hybrid zones can provide documentation of range shifts in response to climate change and identify loci important to reproductive isolation. Using a temporal (36–38 years) comparison of the black-capped (<em>Poecile atricapillus</em>) and Carolina (<em>P. carolinensis</em>) chickadee hybrid zone, we investigated movement of the western portion of the zone (western Missouri) and assessed whether loci and pathways underpinning reproductive isolation were similar to those in the eastern portion of the hybrid zone. Using 92 birds sampled along the hybrid zone transect in 2016 and 68 birds sampled between 1978 and 1980, we generated 11,669 SNPs via ddRADseq. These SNPs were used to assess movement of the hybrid zone through time and to evaluate variation in introgression among loci. We demonstrate that the interface has moved ~5 km to the northwest over the last 36–38 years, i.e., at only one-fifth the rate at which the eastern portion (e.g., Pennsylvania, Ohio) of the hybrid zone has moved. Temperature trends over the last 38 years reveal that eastern areas have warmed 50% more than western areas in terms of annual mean temperature, possibly providing an explanation for the slower movement of the hybrid zone in Missouri. Our results suggest hybrid zone movement in broadly distributed species, such as chickadees, will vary between areas in response to local differences in the impacts of climate change.</p>
3D Parameter Maps of Red Clump Stars in the Milky Way -- Absolute Magnitudes and Intrinsic Colors
<p>Catalog, application and supplementary figures for the RC paper.</p> <p>1100mRC_WC2021new.fits.zip -- RC catalog</p> <p>Gaia photometric RC sample with 11 million RCs selected based on {\it Gaia}'s EDR3 parallax, our 3D parameter maps, and extinction--distance profile.</p> <p>ra, dec -- position; dm -- distance modulus; av -- V-band extinction</p> <p>dm1 -- corrected distance modulus; av1 -- corrected extinction. used for low-extinction RCs</p> <p>edm -- uncertainty of distance modulus; flag -- 1: high probability RCs, 0: low probability RCs.</p> <p> </p> <p>RC_calculator_linux.zip -- application RC2021 and installer for linux</p> <p>RC_calculator_mac.zip -- application RC2021 and installer for mac </p> <p>The application to estimate the absolute magnitudes and intrinsic colors for RCs with the APOGEE or LAMOST parameters</p> <p> </p> <p>eps -- the best applicable ranges for using application.</p> <p>pd_APOGEE.eps and pd_LAMOST.eps -- Probability densities of each parameter for absolute magnitude training set (orange) and the whole sample (blue). </p> <p>pd_APOGEE_color.eps and pd_LAMOST_color.eps -- Probability densities of each parameter for intrinsic color training set (orange) and the whole sample (blue). </p>
Data from "Behavior of reef fishes during a submarine magnitude 5 earthquake"
<p><strong>Behavior of reef fishes during a submarine magnitude 5 earthquake</strong></p> <p>Appendix S1 gathers video excerpts of 2 minutes recorded by 12 remote underwater cameras on the seafloor of N’Gouja reef (Mayotte) before, during and after the magnitude 5.3 earthquake on 10 November 2020 (12:19:39 local time).</p> <p>Table S1 & Tables S2 gathers data of fish behavior collected from the 12 remote underwater videos (rows) during 10 seconds slots before [be.], during [Earthq.] and after [af.] the earthquake (columns). Table S1 contains the proportion of fish individuals seen fleeing. Table S2 contains the feeding activity of <em>Ctenochaetus striatus</em> (number of bites per individual during 10 s).</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.