Find research datasets worth reusing

openapache2.0Jan 2024View details →

Magnetic excitation moments for large moons of the giant planets

Text files containing the spatially uniform (degree-1) magnetic oscillations experienced by each large moon of the giant planets as a function of frequency, also known as the excitation moments. All moments are in complex notation relative to the J2000 epoch. Used for determining the strength of induced magnetic fields from the moons from an interior conductivity structure. This dataset is compatible for use with the <a href="https://github.com/itsmoosh/MoonMag" target="_blank" rel="noopener">MoonMag</a> and <a href="https://github.com/vancesteven/PlanetProfile" target="_blank" rel="noopener">PlanetProfile frameworks</a> for calculating induced magnetic fields of target moons. Refer to the publication linked below for more information. All vector components are in IAU coordinates, such that at the body center, +z is directed along the body spin axis, +x is directed approximately toward the parent planet in the plane of an IAU-defined meridian feature, and +y is directed approximately opposite to the orbital velocity to complete the right-handed set. For the uranian moons and Triton, the IAU +z axes are opposite the spin axes because of their angles relative to the solar system invariable plane; the +y axes for these bodies are therefore directed approximately along the orbital velocity vector. Excitation fields are determined by evaluation of SPICE kernels over a time series at the location of the body center. Position information is inserted into a magnetospheric model for the parent planet and complex Fourier coefficients are inverted from the time series using linear least squares optimization. The magnetic field models we use for each planet are: <ul> <li>Jupiter - JRM33 + C2020 current sheet (Connerney et al., 2022, 2020) except Callisto, for which we use VIP4+K (Connerney et al., 1998; Khurana, 1997)</li> <li>Saturn - Cassini 11+ (Cao et al., 2020)</li> <li>Uranus - AH5 (Herbert, 2009)</li> <li>Neptune - O8 (Connerney et al., 1991)</li> </ul> ASCII text files are included for all major moons of these planets.

opencc-by-4.0Mar 2024View details →

Seismic moment tensor solutions of Mw > 3.4 earthquakes occurred between 2002 and 2023 in the Southeastern Alps

Seismic moment tensor solutions of 63 earthquakes with 3.4≤ Mw≤ 5.1 occurring from 2002 to 2023 in the Southeastern Alps and strict surroundings (latitude 45°N-47.5°N and longitude 10°E-15°E). The seismograms have been recorded and acquired by the OGS - North-Eastern Italy Seismic and Deformation Network (<a href="https://doi.org/10.7914/SN/OX">https://doi.org/10.7914/SN/OX</a>).  For more details: Saraò A., Sugan M., Bressan G., Renner G., and Restivo A.: A focal mechanism catalogue of earthquakes that occurred in the southeastern Alps and surrounding areas from 1928–2019, Earth Syst. Sci. Data, 13, 2245–2258, https://doi.org/10.5194/essd-13-2245-2021, 2021.

opencc-by-sa-4.0Nov 2024View details →

Dataset on the experimental investigation of the seismic response of moment-resisting steel frames using shaking table tests

<h2>Description:</h2> This dataset contains data from experimental shake table tests conducted on a two-storey steel-frame structure, involving linear sweep, white noise, impulse, and seismic excitations (see 'Load_Protocols_v1.0.0.pdf'). The experiments were carried out using the uniaxial shaking table at the <a href="https://www.lbb.rwth-aachen.de/cms/lbb/der-lehrstuhl/~bjlfvq/geraetezentzrum/?lidx=1">RWTHDynLab</a> of the <a href="https://www.lbb.rwth-aachen.de/go/id/eaxh/">Chair of Structural Analysis and Dynamics (LBB) - RWTH Aachen University</a>, in cooperation with the <a href="https://www.stb.rwth-aachen.de/cms/~iozv/STB/">Institute of Structural Steel (STB) - RWTH Aachen</a> and the <a href="https://www.cwe.rwth-aachen.de/home-2/">Center for Wind and Earthquake Engineering (CWE) – RWTH Aachen</a>. The experimental campaign was developed to gain a better understanding of the interaction between the main structure and non-structural components, to investigate the reliability and accuracy of analytical methods to predict response floor spectra and non-structural component acceleration described in various guidelines and seismic codes. Regarding applications of Structural Health Monitoring the necessity for additional sensors on non-structural components was studied. Three single-degree-of-freedom oscillators (SDOFs) were connected to the upper floor representing non-structural components. The test structure was subjected to a total of twelve earthquake excitations with different spectral properties. The main objectives of the test campaign were: <ul> <li>Identification of the modal properties of the test structure.</li> <li>Measurement of the floor response in terms of acceleration and displacement.</li> <li>Determination of the real floor response spectra based on the measurements of the acceleration sensors installed on the first and second floors.</li> <li>Comparison of the expected peak accelerations from the floor response spectra with the peak accelerations measured by the accelerometers attached to the three SDOFs.</li> </ul> <h3>Test structure:</h3> The test structure consisted of a two-storey steel structure which was stabilised in the direction of excitation by moment resisting frames (MRFs). In the transverse direction the global stability was ensured by concentrically braced frames (braces QRo 50x5). The structure was designed in accordance with provisions of prEN-1998-1 for energy dissipation and ductile seismic behaviour. As ductile members were considered the frame beams so that the columns and connections remain undamaged. An illustration of the test structure is depicted in 'Test_Structure_Sketch_v1.0.0.pdf'. The dimensions of the test structure are: 2.40 m in length, 2.40 m in width and 3.78 m in total height (1st storey: 2.02 m; 2nd storey: 1.76 m). Four large steel I-sections, each with a dead weight of 1700 kg, were attached to the main structure as masses and secured by U-Profiles. A tank with a dead load of approx. 100 kg and a volume of 400 litres was mounted onto the first floor. The tank remained empty during this test series. HEA200 profiles (S355-J2) were selected as column profiles, whereas IPE160 profiles (S235-JR) as frame beams. All main and secondary beams were realised by HEA140 profiles (S235-JR). Four L60x6 bars were arranged in a rhombus shape in the floor plane to ensure a diaphragm action. In the area of the MRF connections, the columns were reinforced with an additional double web plate (t = 10 mm) and with three ribs (t = 10 mm) at the level of the beam top flange, the beam bottom flange and the haunch flange. The beam-to-column connections were classified as full strength and semi-rigid in terms of capacity and stiffness. The critical welds connecting the frame transom to the top plate (t = 15 mm) were designed as full penetration groove welds in accordance with the specifications of Annex E of prEN1998-1 for seismically standardised connections. Twelve M16-10.9 bolts were used to ensure the force transfer between the beam and column. All connections of the secondary beams to the main beams were realised as end plate connections to prevent premature failure due to combined loading by normal and shear forces. The arrangement of the secondary beams and the corresponding force transmission was conceptualized in such a way that the frame beams could be replaced after a series of tests without having to remove the masses and the tank. The columns were hinged to the shaking table (see 'Column_Base_Anchorage_v1.0.0.pdf'). Slots in the anchor plates allow the rotation of the support base around the strong axis of the columns. The anchoring to the shaking table was realised using four M24-8.8 threaded rods. To simulate non-structural components, three SDOFs were attached to the centre of the secondary beams that run across the frame transom on the second floor (see 'Test_Structure_v1.0.0.pdf'). The SDOFs consisted of a flat steel and a mass. Depending on the thickness of the flat steel and the position of the mass, the three SDOFs were calibrated so that the natural frequency of the first SDOF matches the natural frequency of the second modal shape of the test structure in the frame direction, and the natural frequency of the third SDOF corresponds the first natural frequency of the structure. The natural frequency of the second SDOF was set so that it lies between those of the other SDOFs, creating a staggered range of dynamic responses. <h3>Test setup:</h3> The shaking table specifications are: <ul> <li>Table size: 3.0x3.0 m</li> <li>Max. specimen mass: 10 t</li> <li>Max. overturning moment: 30 m t</li> <li>Max. actuator stroke: +/- 250 mm</li> <li>Max. table velocity: +/- 1 m/s at rated load</li> <li>Max. table acceleration: +/- 1g at rated load</li> <li>Test frequency: 0 to 50 Hz</li> </ul> The instrumentation scheme of the test setup consisted of accelerometers and displacement tranducers, measuring the excitation provided by the shaking table and the response of the structure. Regarding the global response of the test structure, the recordings of the accelerometers and displacement tranducers indicated in the uploaded file 'Instrumentation_Scheme_v1.0.0.pdf' are provided.  The properties of the accelerometers are: <ul> <li>Type: M3701-series</li> <li>Manufacturer: PCB Piezotronics, Inc.</li> <li>Measurement range: +/- 3g</li> <li>Frequency range: 0-500 Hz</li> <li>Sensitivity: 900 mV/g</li> <li>Resolution: 2.2e-5g</li> <li>Noise: 1 µg/Hz-0.5</li> </ul> The properties of the displacement tranducers are: <ul> <li>Type: LZW-M-500</li> <li>Manufacturer: WayCon Positionsmesstechnik GmbH</li> <li>Measurement range: +/- 250 mm</li> <li>Linearity: +/- 0.05%</li> <li>Repeatability: 0.01 mm</li> <li>Displacement force: ≤15 N</li> <li>Displacement speed: ≤5 m/s</li> </ul> <h2>Files:</h2> <ul> <li>Column_Base_Anchorage_v1.0.0.pdf <ul> <li>Photo of the column-base anchorage.</li> </ul> </li> <li>Data_v1.0.0.zip <ul> <li>Contains all data files according to the load protocols.</li> <li>The experimental data is provided as .csv files for each load protocol. </li> </ul> </li> <li>Instrumentation_Scheme_v1.0.0.pdf <ul> <li>.pdf file illustrating the sensor placements on the test structure.</li> </ul> </li> <li>Load_Protocols_v1.0.0.pdf <ul> <li>.pdf file listing all load protocols applied to the structure.</li> </ul> </li> <li>References_v1.0.0.bib <ul> <li>Contains a bibtex reference with the associated publications.</li> </ul> </li> <li>Shake_Table.jpg <ul> <li>Photo of the shaking table without any specimen.</li> </ul> </li> <li>Test_Structure_v1.0.0.pdf <ul> <li>Photo of the shaking table including the test structure.</li> </ul> </li> <li>Test_Structure_Sketch_v1.0.0.pdf <ul> <li>.pdf file illustrating the test structure.</li> </ul> </li> <li>Time_Histories_v1.0.0.pdf <ul> <li>.pdf file including plots of the measurement data.</li> </ul> </li> </ul> <h2>File format of the datasets:</h2> The data is stored in .csv files, where each file contains the following columns (see also 'Instrumentation_Scheme_v1.0.0.pdf'): <ul> <li>Time (s): Time in seconds since the start of the test (time step equals 0.0025 s).</li> <li>Acc_0 (m/s2): Acceleration signal measured in m/s2 on the shaking table in the direction of excitation (Axis A-A).</li> <li>Acc_1 (m/s2): Acceleration response of the structure measured in m/s2 on the first floor in the direction of excitation (Axis A-A).</li> <li>Acc_2 (m/s2): Acceleration response of the structure measured in m/s2 on the second floor in the direction of excitation (Axis A-A).</li> <li>Acc_L (m/s2): Acceleration response of SDOF I measured in m/s2 in the direction of excitation.</li> <li>Acc_F (m/s2): Acceleration response of SDOF II measured in m/s2 in the direction of excitation.</li> <li>Acc_H (m/s2): Acceleration response of SDOF III measured in m/s2 in the direction of excitation.</li> <li>Acc_G (m/s2): Acceleration response of the structure measured in m/s2 on the second floor in the direction of excitation (Axis B-B).</li> <li>Acc_J (m/s2): Acceleration response of the structure measured in m/s2 on the second floor in the transverse direction of excitation (Axis B-B).</li> <li>Dis_0 (mm): Displacement signal measured mm on the shaking table in the direction of excitation (Axis A-A).</li> <li>Dis_1 (mm): Displacement response of the structure measured in mm on the first floor in the direction of excitation (Axis A-A).</li> <li>Dis_2 (mm): Displacement response of the structure measured in mm on the second floor in the direction of excitation (Axis A-A).</li> </ul> These data files can easily be uploaded using the pandas library in Python. For example by: <pre><code>import pandas as pd df = pd.read_csv('1_IM_4mm.csv') time = df["Time (s)"] acc_0 = df["Acc_0 (m/s2)"] dis_0 = df["Dis_0 (mm)"]</code></pre> <h2>Contact:</h2> Please send your enquiries regarding the shaking table to <a href="dynamics@lbb.rwth-aachen.de">dynamics@lbb.rwth-aachen.de</a>. Further information can be found on our <a href="https://www.lbb.rwth-aachen.de/cms/lbb/der-lehrstuhl/~bjlfvq/geraetezentzrum/?lidx=1">website</a>. <h2>Usage/License:</h2> <ul> <li>The data is licensed under CC BY-SA 4.0.</li> <li>If you have used our data and are publishing your work, we ask you to please reference both <ul> <li>this database by its DOI, and</li> <li>any publication that is associated with the experiments. See the "References_v1.0.0.bib" for the associated publication references.</li> </ul> </li> </ul> <h2>Fundings:</h2> <ul> <li>Deutsche Forschungsgemeinschaft - Grant number: INST 222/1161-1 FUGG. Einaxialer Schwingtisch für dynamische Modell- und Bauteilversuche.</li> <li>Bundesministerium für Bildung und Forschung - Grant number: 03G0892A. ROBUST – Nutzerorientiertes Erdbebenfrühwarnsystem mit intelligenten Sensorsystemen und digitalen Bauwerksmodellen – Entwicklung Installation und Anwendung von sensorbasierten Monitoringsystemen mit BIM-Integration zur Echtzeit-Schadenerkennung in kritischen Infrastrukturen.</li> </ul>

opencc-by-4.0Oct 2023View details →

Data of "Towards a More Reliable Forecast of Ice Supersaturation: Concept of a One-Moment Ice Cloud Scheme that Avoids Saturation Adjustment"

These are the data used for generating the figures in the ACP article "Towards a More Reliable Forecast of Ice Supersaturation: Concept of a One-Moment Ice Cloud Scheme that Avoids Saturation Adjustment" by Sperber and Gierens. The data sets labeled "Box" have been generated by the stochastic box model, "adj" refers to the parameterisation using saturation adjustment and data labeled "par" originate from the newly developed parameterisation. The label "const" followed by a number refers to simulations with a constant updraught of the speed specified by the number in cm/s. The label "cos" refers to the simulations in which the updraught velocity follows a cosine function in time. "a10" labels simulations with less initial clear sky humidity fluctuations of plus/minus 10% instead of plus/minus 25%. "al0028" labels simulations with a higher deposition rate of 0.0028 1/s instead of 0.0003 1/s. "step10" labels simulations with a longer time step of 10 minutes instead of 1 minute. "Box_const2_rh1.txt" contains data from a simulation similar to "Box_const2.txt" but with an initial mean relative humidity of 100% instead of 110%. "Box_het.txt" contains data from a simulation including heterogeneous nucleation. "Box_slow_nuc.txt" contains data from a simulation where the deposition rate increases over time from zero after nucleation in every air parcel. "Box_upvar.txt" contains data from a simulation, where the updraught velocity in every air parcel varies randomly between 1 cm/s and 3 cm/s and the deposition rate inside the air parcel depends on the updraught velocity at the time of nucleation.   The columns in the "Box" files represent from left to right: 1. Time since the simulation start in s 2. Cloud fraction 3. Mean relative humidity across all air parcels 4. Mean specific humidity across all air parcels 5. Mean specific ice content across all air parcels 6. Mean relative humidity across all cloudy air parcels 7. Mean relative humidity across all clear air parcels 8. Mean equilibrium supersaturation 9. Mean threshold relative humidity for homogeneous nucleation 10. Mean deposition rate across all cloudy air parcels 11. Mean updraught velocity   The columns in the "adj" files represent from left to right: 1. Time since the simulation start in s 2. Cloud fraction 3. Mean relative humidity 4. Mean specific humidity 5. Mean specific ice content 6. In-cloud Humidity 7. Clear sky humidity   The columns in the "par" files represent from left to right: 1. Time since the simulation start in s 2. Cloud fraction 3. Mean relative humidity 4. Mean specific humidity 5. Mean specific ice content 6. In-cloud Humidity 7. Clear sky humidity 8. Obsolete 9. Equilibrium supersaturation

opencc-by-4.0Dec 2021View details →

MEMS-Based Cantilever Sensor for Simultaneous Measurement of Mass and Magnetic Moment of Magnetic Particles (Data)

Origin project and figures used for the article "MEMS-Based Cantilever Sensor for Simultaneous Measurement of Mass and Magnetic Moment of Magnetic Particles", published in Chemosensors on 04 Aug 2021.

opencc-by-4.0May 2020View details →

Original single session datasets from "Slowly evolving dopaminergic activity modulates the moment-to-moment probability of reward-related self-timed movements."

This archive contains the original single-session recording datasets associated with the paper "Slowly evolving dopaminergic activity modulates the moment-to-moment probability of reward-related self-timed movements" by Allison E Hamilos, Giulia Spedicato, Ye Hong, Fangmiao Sun, Yulong Li, and John A Assad (https://doi.org/10.1101/2020.05.13.094904). Files can be loaded and collated with code from our GitHub repository to reproduce all analyses (https://www.github.com/harvardschoolofmouse).

opencc-by-4.0Feb 2022View details →

Centroid Moment Tensor solutions for the earthquake dataset of the project IMAGINE_IT

The project IMAGINE_IT (PI Dr. Dimitri Komatitsch) received 40 million CPU-hours on the Tier-0 GENCI/TGCC CURIE supercomputer as a winner of the 9th PRACE consortium call (2014).  The awarded computational resources allowed us to construct a new 3D tomographic model for the Italian lithosphere, Im25, by combining spectral-element three-dimensional wavefield simulations and an adjoint-state method. To obtain the final model Im25, we performed 25 adjoint tomography iterations. Moreover, two additional source inversion iterations have been performed in order to improve the earthquake source parameter estimates and reduce the misfit between observed and synthetic seismograms: one inversion using the 3D wavespeed model considered as starting model of the tomographic procedure, and one inversion for the improved wavespeed model at iteration 12 (Im12).  The presented table contains the Centroid Moment Tensor parameters of the163 earthquakes considered in the IMAGINE_IT project for: the initial (Time Domain Moment Tensor; http://terremoti.ingv.it/) source solution based on a 1D wavespeed model (iter=0), the source inversion solution with the starting 3D wavespeed model (iter=1), and the source inversion solution with model Im12 (iter=2).

opencc-by-4.0Jan 2022View details →

Moment rate functios of shallow very low frequency earthquakes off the Cape Muroto and Kii Channel, along the Nankai Trough, Japan

Moment rate functions of shallow very low frequency earthquakes (VLFEs) that occurred off the Cape Muroto and Kii Channel. A similar catalog but for southeast off the Kii Penisula can be downloaded from <a href="https://doi.org/10.5281/zenodo.5211090">https://doi.org/10.5281/zenodo.5211090 </a> This data set is the supplement of "Takemura, S., Baba, S., Yabe, S., Emoto, K., Shiomi, K., & Matsuzawa, T. (2022). Source characteristics and along-strike variations of shallow very low frequency earthquake swarms on the Nankai Trough shallow plate boundary. Geophysical Research Letters, 49, e2022GL097979. <a href="https://doi.org/10.1029/2022GL097979">https://doi.org/10.1029/2022GL097979</a>" Included files <ul> <li>YYYY-MM-DDThhmmssparam.stf Parameter file for the Monte-Carlo-based simulated annealing estimation for a shallow VLFE occurred at hh:mm:ss on DDth MM YYYY (JST). Detection time, correlation coefficient, longitude, latitude, ratio (internal parameter), template index (internal parameter), assumed strike angle, dip angle, rake angle, source grid index (internal parameter), the number of the used stations, station list are included.</li> <li>YYYY-MM-DDThhmmss_STF.dat Moment rate function for a shallow VLFE occurred at hh:mm:ss on DDth MM YYYY (JST). The optimal and original simulated annealing estimations are listed in the 2nd and 3rd columns, respectively. The time from the origin is represented in the 1st column</li> <li>VLFE_catalog.csv CSV format file of Shallow VLFE catalog from Apr. 2004 to Mar. 2021.  Origin time (JST), origin time (UTC), longitude (ºE), latitude (ºN), seismic moment (Nm), duration (s), VR (%), and Mw are listed.</li> <li>Data Set S1 CSV format file of shallow VLFE swarm catalog. Origin time (JST), epicenter locations, seismic moments, durations, moment magnitudes, VRs, and swarm indexes of each shallow VLFE. The “-” in the swarm index column means that this shallow VLFE does not belong to shallow VLFE swarms.</li> </ul> Citation <ul> <li>Takemura, S., Baba, S., Yabe, S., Emoto, K., Shiomi, K., & Matsuzawa, T. (2022). Source characteristics and along-strike variations of shallow very low frequency earthquake swarms on the Nankai Trough shallow plate boundary. Geophysical Research Letters, 49, e2022GL097979. <a href="https://doi.org/10.1029/2022GL097979">https://doi.org/10.1029/2022GL097979</a></li> <li>This data doi</li> </ul>

opencc-by-4.0Mar 2022View details →

Supplemental Material to "Consistent quantification of precipitate shapes and sizes in two and three dimensions using central moments"

Supplemental material to manuscript "Consistent quantification of precipitate shapes and sizes in two and three dimensions using central moments" published in IMMJ "Integrating Materials and Manufacturing Innovation" 2022

opencc-by-4.0Sep 2022View details →

Waveform data for centroid moment tensor solutions presented in publication "Bayesian seismic source inversion with a 3-D Earth model of the Japanese islands"

The dataset includes waveform data for centroid moment tensor solutions inferred using Hamiltonian Monte Carlo and a 3-D Earth model in the Japanese islands. The data are provided as Green's strains at the maximum-likelihood location (indicated in the title of each text file) for all study events inverted at different periods. Inversion period is also indicated in the title. All the data are filtered between 15 s and 80 s. Additionally we provide a Python code to obtain displacement from strains given a moment tensor.

opencc-by-4.0Jul 2024View details →

Ideal gas thermodynamic functions for NO from the total partition sum and its moments

to be published in the Journal of Physical and Chemical Reference Data             The total internal partition sum, Qint(T), and the translational partition sum, Qtrans(T), were computed for six isotopologues of NO: 14N16O, 15N16O, 14N18O, 14N17O, 15N18O, 15N17O.  These were used to determine the total partition sum, Q (T), and its first and second moments, Q'(T), and Q"(T) .  The total internal partition sum was computed using term values determined using the term values of Qu et al. [MNRAS, 504, 5768-5777, (2021)] for 14N16O and Wong et al. [MNRAS, 470, 882-897, (2017)] for the other isotopologues.  These term values are the best available and hence provide the most accurate total internal partition sums and its first and second moments.  The uncertainties in Qint(T), its moments, and the resulting thermodynamic functions were determined in terms of the uncertainty in the term values and the uncertainty due to the convergence of the partition sum and its moments.  From these quantities the isobaric heat capacity, the Helmholtz energy, the entropy, the enthalpy, the Gibbs function, and the JANAF [Chase et al., J. Phys. Chem. Ref. Data, 14, 1-856, 1985] functions: hef, and gef and their uncertainties were computed on a 1 K grid from 1 to 9000 K.  The data are compared with the literature values.  The resulting thermodynamic quantities are the most accurate determined from direct summation of Q(T), Q'(T), and Q"(T).

opencc-by-4.0Jun 2023View details →

Dataset: Swarms in Central Utah – event detection lists, arrival picks, relocations & moment tensor solutions

Dataset containing results of moment tensor inversions, relocations and event detections for our study "Petersen & Pankow (2023): Small-magnitude seismic swarms in Central Utah: Interactions of regional tectonics, local structures and hydrothermal systems" (<a href="https://doi.org/10.1029/2023GC010867">https://doi.org/10.1029/2023GC010867</a>). Please read the pdf-README file for more information on the dataset.

opencc-by-4.0Jun 2023View details →

Dataset supporting the paper "Large Orbital Moment of Two Coupled Spin‑Half Co Ions in a Complex on Gold. ACS Nano 17, 10608 (2023)"

Dataset corresponding to theoretical calculations in the paper "Large Orbital Moment of Two Coupled Spin‑Half Co Ions in a Complex on Gold" ACS Nano 17, 10608 (2023), https://pubs.acs.org/doi/10.1021/acsnano.3c01595 List of files: Several folders corresponding to the figures of the paper. They contain: .siesta files: STM images in WsXM format (http://www.wsxm.eu/) simulated using STMpw (https://doi.org/10.5281/zenodo.3581159). CONTCAR files: relaxed structures in VASP format. They can be visualized with VESTA (https://jp-minerals.org/vesta/en/). .agr: grace files (https://plasma-gate.weizmann.ac.il/Grace/).

opencc-byAug 2023View details →

Audiovisual Moments in Time: A Large-Scale Annotated Dataset of Audiovisual Actions

We present Audiovisual Moments in Time (AVMIT), a large-scale dataset of audiovisual action events. In an extensive annotation task 11 participants labelled a subset of 3-second audiovisual videos from the Moments in Time dataset (MIT). For each trial, participants assessed whether the labelled audiovisual action event was present and whether it was the most prominent feature of the video. The dataset includes the annotation of 57,177 audiovisual videos, each independently evaluated by 3 of 11 trained participants. From this initial collection, we created a curated test set of 16 distinct action classes, with 60 videos each (960 videos). We also offer 2 sets of pre-computed audiovisual feature embeddings, using VGGish/YamNet for audio data and VGG16/EfficientNetB0 for visual data, thereby lowering the barrier to entry for audiovisual DNN research. We further carried out an experiment to explore the utility of the AVMIT annotations and feature embeddings. A series of 6 Recurrent Neural Networks (RNNs) were trained on either AVMIT-filtered audiovisual events or modality-agnostic events from MIT, and then tested on our audiovisual test set. In all RNNs, top 1 accuracy was increased by 2.71-5.94\% by training exclusively on audiovisual events, even outweighing a three-fold increase in training data. We anticipate that the newly annotated AVMIT dataset will serve as a valuable resource for research and comparative experiments involving computational models and human participants, specifically when addressing research questions where audiovisual correspondence is of critical importance.

opencc-by-4.0Sep 2009View details →

Memorable moments with Lubo Masner. 1 in An appreciation of Lubomír Masner on the occasion of his 75th birthday

Memorable moments with Lubo Masner. 1. On the road to the Cape of Good Hope. 2. A genial gettogether after a day in the Natural History Museum, London. Left to right: Norm Johnson, Marcela Masner, Lubo Masner, Andy Polaszek. 3. Contemplating the incense in Lukang, Taiwan. 4. The chef at work at the home parilla in Ottawa.

opencc-by-4.0Jul 2020View details →

List of VLFEs obtained in the paper "Influence of a subducted oceanic ridge on the distribution of shallow VLFEs in the Nankai Trough as revealed by moment tensor inversion and cluster analysis"

List of VLFEs obtained in Toh et al., (2020, GRL). "Influence of a subducted oceanic ridge on the distribution of shallow VLFEs in the Nankai Trough as revealed by moment tensor inversion and cluster analysis" by Akiko Toh, Wan-Jou Chen, Nozomu Takeuchi, Douglas Dreger, Wu-Cheng Chi, and Satoshi Ide.

opencc-by-4.0Apr 2024View details →

MHONGOOSE single-track moment maps

<h2>MHONGOOSE single-track moment maps</h2> This repository contains all MHONGOOSE single-track moment maps as described in de Blok et al. (2024). For each galaxy, two resolutions are provided, derived with robust parameter 0.5 and 1.5, respectively. The former highlights small-scale structures at the cost of a reduced column density sensitivity, the latter emphasises low column density structures. For each galaxy and resolution we provide: <ul> <li>zeroth moment map (mom0) - integrated HI intensity map</li> <li>primary-beam-corrected zeroth moment map (mom0_pb)</li> <li>first moment map - intensity-weighted mean velocity field</li> <li>second moment map (mom2) - velocity spread map</li> <li>number of channels (nchan) contributing to each pixel</li> </ul> Average properties of the observations are given below. Beam sizes for the individual galaxies areprovided in the headers. <table> <tbody> <tr> <td>robust value</td> <td>pixel size (arcsec)</td> <td>beam (arcsec)</td> <td>noise (mJy/beam)</td> <td>log(NHI) (cm-2) [1sigma; 1 chan]</td> <td>log(NHI) (cm-2) [3sigma; 16 km/s]</td> </tr> <tr> <td>1.5</td> <td>7</td> <td>30</td> <td>0.49</td> <td>17.94</td> <td>18.94</td> </tr> <tr> <td>0.5</td> <td>3</td> <td>12</td> <td>0.54</td> <td>18.79</td> <td>19.79</td> </tr> </tbody> </table> For a full description of the derivation of the moment maps see de Blok et al (2024).

opengpl-3.0-or-laterMay 2024View details →

Bolivia_Moment_Tensor_Figure_Results

This is the supplementary data for the research "New contributions to enhance the knowledge of stresses in the Central Andes, through moment tensor inversion for shallow seismic earthquakes in Bolivia."