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246 results for “MW”
Catalog of NE Italy earthquakes Mw with related velocimetric time series
<p>Mw catalog (xlsx format) of earthquakes occurred in Norheastern Italy from 2016 to 2023; the catalog reports estimations for:</p> <ul> <li>ML (Bragato and Tento, 2005);</li> <li>Mw calculated from SA (Moratto et al., 2017);</li> <li>Mw calculated from MT (Moment Tensor; Saraò et al., 2021);</li> <li>The tgz file with the corrected velocimetric waveforms (SAC fomat with P and S arrival times used for the locations and units in m/s); tgz file can be found in Waveforms.tgz. EVDP SAC header is expressed in meters.</li> </ul> <p>Continuous raw time series can be dowloaded from Oasis website (Priolo et al., 2015).</p> <p> </p>
Single-cycle, 643-mW average power THz source based on tilted pulse front in lithium niobate
<p>This data set is associated with the aforementioned paper.</p> <p>The data and the Jupyter notebooks (Python) to reproduce the figures in this paper can be downloaded below. To run a Jupyter notebook as a beginner, it is easiest to download and install anaconda, a Python environment that comes with many packages preinstalled and also offers Jupyter lab/notebook. It is available at <a href="https://www.anaconda.com/download" target="_blank" rel="noopener">https://www.anaconda.com/download</a>.</p> <h2>Fig.01</h2> <p><strong>Fig.01_literature_lithium_niobate_sources.csv</strong> contains a summary table of the last decades of published THz power values obtained with lithium niobate in the tilted pulse front geometry. The accompanying jupyter notebook allows to reproduce the figure that was used in the paper.</p> <h2>Fig.03</h2> <p>Each individual data frame (df), which is saved as an HDF file in the .zip file, contains a "power curve" measurement (i.e. measured THz power as a function of the applied pump power). Whenever a parameter is changed, all positions, angles, THz power and cryostat parameters are saved.</p> <ul> <li><strong>x1 </strong>is the position of the last mirror before the transmission grating (parallel to the pump beam direction before the crystal) in [mm]</li> <li><strong>x2 </strong>is the position of the first imaging lens in direction of the pump beam propagation direction before the crystal in [mm]</li> <li><strong>x3 </strong>is the position of the second imaging lens in the direction of the pump beam propagation direction before the crystal in [mm]</li> <li><strong>x4 </strong>is the position of the cryostat in the direction of the pump beam before reaching the crystal in [mm]</li> <li><strong>y0 </strong>is the position of the cryostat in the perpendicular direction of the pump beam before reaching the crystal in [mm]</li> <li><strong>α0 </strong>is the angle of the lambda/2 waveplate that allows the pump power to be varied at the crystal in [°]</li> <li><strong>α1 </strong>is the angle of the last mirror before the grating in [°]</li> <li><strong>α2 </strong>is the angle of the transmission grating in [°]</li> <li><strong>thz_power_W </strong>is the obtained power obtained from the Ophir 3A-P-THz power meter in [W]</li> <li><strong>temperature_setpoint_K </strong>is the LakeShore cryostat controller setpoint in [K]</li> <li><strong>temperature_K </strong>is the temperature read from the sensor on the cooling finger (above the crystal) in [K]</li> <li><strong>heater_output </strong>is the amount of power in [%] delivered to the resistive heating element inside the cryostat. 100% corresponds to about 50 W. Its value is controlled by an internal PID loop of the cryostat controller, which tries to stabilize <strong>temperature_K </strong>to <strong>temperature_setpoint_K</strong></li> <li><strong>pump_power </strong>is the average laser power reaching the crystal in [W]. It was calibrated before obtaining the data set by characterizing the lambda/2 waveplate angle <strong>α0</strong> to the value of an NIR power meter just before the cryostat.</li> <li><strong>repetition_rate</strong> is the repetition rate of the laser in [Hz]</li> </ul> <p>As an example, below is one line (for one pump power) of such a data frame:</p> <table> <tbody> <tr> <td> </td> <th>x1</th> <th>x2</th> <th>x3</th> <th>x4</th> <th>y0</th> <th>α0</th> <th>α1</th> <th>α2</th> <th>thz_power_W</th> <th>temperature_setpoint_K</th> <th>temperature_K</th> <th>heater_output</th> <th>pump_power</th> <th>repetition_rate</th> </tr> <tr> <td>0</td> <td>-12.000005</td> <td>2.500039</td> <td>9.100015</td> <td>-5.0</td> <td>-2.0</td> <td>35.905660</td> <td>25.68</td> <td>-23.3</td> <td>0.006000</td> <td>80.0</td> <td>79.883</td> <td>4.4</td> <td>20.0</td> <td>40000.0</td> </tr> </tbody> </table> <p>10 of such power curves were obtained at 100 kHz and 40 kHz and can be found in the respective zip-file.</p> <p> </p> <p><strong>Literature_Power_Efficiency.zip</strong> contains digitzed power and efficiency values from the following references:</p> <ol> <li>X. Wu, D. Kong, S. Hao, et al., "Generation of 13.9-mJ Terahertz Radiation from Lithium Niobate Materials," Advanced Materials 35, 2208947 (2023).</li> <li> <p>P. L. Kramer, M. K. R. Windeler, K. Mecseki, et al., "Enabling high repetition rate nonlinear THz science with a kilowatt-class sub-100 fs laser source," Opt. Express 28, 16951 (2020).</p> </li> <li> <p>T. Kroh, T. Rohwer, D. Zhang, et al., "Parameter sensitivities in tilted-pulse-front based terahertz setups and their implications for high-energy terahertz source design and optimization," Opt. Express, OE 30, 24186–24206 (2022).</p> </li> <li> <p>B. Zhang, Z. Ma, J. Ma, et al., "1.4-mJ High Energy Terahertz Radiation from Lithium Niobates," Laser & Photonics Reviews 15, 2000295 (2021).</p> </li> </ol> <p> </p> <h2>Fig.04</h2> <p><strong>EOS_dfs.p</strong> is a pickle file, contain electro-optic sampling traces, which are already averaged for various pump powers at 40 kHz repetition rate.</p>
6C dataset for Mw 7.4 Hualien earthquake on 2024-04-02 at station locations MDSA0 and NA01.
<p>This repository contains the 6-component data set recording the Hualien Mw 7.4 earthquake on 2024-04-02. It contains the data for two station locations MDSA0 and NA01. For both locations there are 3 component rotation rates and 3 component accelerations. The instrument type and the coresponding response is in the file instrument_response.txt. It also includes the coordinates of both stations.</p> <p>After removing the response the acceleration data will be in units 'm/s/s' and the rotation data will be in 'rad/s'. </p> <p>The MDSA0 station is situated in Hualien, Taiwan. One blueSeis-3A rotational sensor is collocated with a Nanometrics Titan accelerometer at depth of 0.5 m in a vault structure.</p> <p>The NA01 station is situated in Nanao, Taiwan. One blueSeis-3A rotational sensor is collocated with a Kinemetrics EpiSensor accelerometer at depth of 2 m in a vault structure.</p>
Seismic moment tensor solutions of Mw > 3.4 earthquakes occurred between 2002 and 2023 in the Southeastern Alps
<p>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>). </p> <p>For more details:</p> <p>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.</p> <p> </p>
Deep learning-based earthquake catalog of the 2022 MW 6.9 Chihshang, Taiwan, earthquake sequence
<p>On 18 September 2022, the MW 6.9 Chihshang earthquake struck the southern Longitudinal Valley, Taiwan. We use SeisBlue, a deep-learning platform/package, to extract the two-month earthquake sequence from September to October 2022, including the MW 6.5 Guanshan foreshock, the MW 6.9 mainshock, over 14,000 aftershocks, and 866 focal mechanisms from two sets of broadband networks. For more details, please refer to our research article published at TAO (Sun et al., 2024; https://doi.org/10.1007/s44195-024-00063-9). The refined SeisBlue earthquake, FMS, and 20-year M3+ relocated CWA earthquake catalogs obtained in this study are listed here.</p> <ol> <li>The refined, deep-learning-based earthquake catalog of the 2022 Mw 6.9 Chihshang, Taiwan, earthquake sequence contains 5,151 seismic events with event time, location and error information, local and moment magnitudes, and hypoDD location. </li> <li>The FMS (focal mechanism solution) catalog is obtained by the P-wave polarities of 14 broadband stations and the FPFIT program (Reasenberg & Oppenheimer, 1985). 865 out of 1629 FMSs with at least six readings of P-wave polarity, F-fator <span>≤ </span>0.1 (F <span>< </span>0.5 for a good fit), and errors of strike, dip, and rake are all <span>< </span>20<span>°</span>, respectively, are listed in the attached FMS catalog.</li> <li>The 2001-2020 3D-hypoDD-relocated M3+ CWA earthquake catalog: We applied the HypoDD program (Waldhauser & Ellsworth, 2000) to the CWA (Central Weather Administration (CWA, Taiwan), 2012) catalog with P- and S-wave arrivals and obtained 5862 M3+ events between 2001 and 2020 for eastern Taiwan. The 3D velocity models used for this catalog are the local models from Kuo-Chen et al. (2012).</li> </ol> <p> </p>
FLOATECH WP3 experimental dataset : wave-tank hybrid testing of a 10 MW turbine based on a spar platform (ECN)
<p>This dataset presents the experimental measurements made in the Hydrodynamic and Ocean Engineering wave tank of Ecole Centrale de Nantes, in France, with the model of a 10 MW turbine supported by a spar platform at a scale 1:40. </p> <p>The tests were performed using a real-time hybrid testing method (or software-in-the-loop) called SoftWind presented and published in Ocean Engineering (the paper is available at this <a title="Paper SoftWind" href="https://doi.org/10.1016/j.oceaneng.2024.118390">link</a>). </p> <p> </p> <p><strong>Presentation of the experimental model:</strong></p> <p>The model is presented in details in the provided Excel file "FLOATECH_C3_Project data and model description.xlsx". </p> <p> </p> <p><strong>In the dataset:</strong></p> <p>The measurement files of the tests are gathered in folders by "series", and each test file has a test number. The series and the test conditions of each run are detailed in the provided Excel file "FLOATECH_C3_Database_Matrix.xlsx". </p> <p>Decay tests, pull-out tests and hammer tests were performed and are given in the dataset. </p> <p> </p> <p><strong>Real-time simulation models</strong></p> <p>The numerical models used in the real-time OpenFAST simulations are also provided in the compressed file "RT Simulations files.zip". </p> <p> </p> <p><strong>Data used in the published paper:</strong></p> <p>Some of the tests were used in the paper (see <a title="Paper SoftWind" href="https://doi.org/10.1016/j.oceaneng.2024.118390">link</a>). The corresponding test numbers are given in the table below. </p> <table> <tbody> <tr> <td><strong>Load cases</strong></td> <td><strong>Hs (m)</strong></td> <td><strong>Tp (s)</strong></td> <td><strong>Uhub (m/s)</strong></td> <td><strong>TI (%)</strong></td> <td><strong>Wave dir. (°)</strong></td> <td><strong>Wind dir(°)</strong></td> <td><strong>TestNum 1C</strong></td> <td><strong>TestNum 3C</strong></td> <td><strong>TestNum 5C</strong></td> </tr> <tr> <td>1.2</td> <td>7</td> <td>12</td> <td>14</td> <td>13.8</td> <td>0</td> <td>0</td> <td>269</td> <td>268</td> <td>270</td> </tr> <tr> <td>2.1</td> <td>7</td> <td>12</td> <td>14</td> <td>13.8</td> <td>0</td> <td>25</td> <td>275</td> <td>307</td> <td>281</td> </tr> </tbody> </table> <p> </p> <p> </p>
Updated NLL-SSST-coherence earthquake relocation catalog for the 2020 Mw 6.5 Monte Cristo Range, Nevada earthquake sequence.
<p>CSV catalog and plots of NLL-SSST-coherence earthquake relocations of 17583 events M≥1 2020.01.01 to 2021.08.20 for the 2020 Mw 6.5 Monte Cristo Range, Nevada earthquake sequence.</p> <p>This dataset is an update of the relocations presented in the pre-print article:<br> The 2020 Mw 6.5 Monte Cristo Range, Nevada earthquake: relocated seismicity shows rupture of a complete shear-crack system<br> https://eartharxiv.org/repository/view/1904/</p> <p> </p> <p>Plots show map, view from south and view from N73E of NLL-SSST-coherence relocations events with error-ellipsoid, semi-major axis ≤ 5 km. Caption (adapted from https://eartharxiv.org/repository/dashboard/1904/ ; Fig 2):</p> <p>Event color showing hypocenter depth and symbol size proportional to magnitude. Re-picked Mw6.5 hypocenter and its proxy (mean hypocenter of 3 well constrained foreshocks) indicated by small and large, dark red, cross symbols, respectively. SHmin and SHmax show directions of regional minimum and maximum compressive stress, respectively; the intermediate principal stress axis is vertical. Seismic stations shown as dark gray tetrahedrons. Brown lines show faults from the Quaternary fault and fold database for the United States. Background topography image from OpenTopgraphy.org. Red lines show mapped surface ruptures from http://www.nbmg.unr.edu/Geohazards/Earthquakes/MonteCristoRangeEQData.html and https://doi.org/10.1785/0220200371</p>
Dataset for "Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea"
<p>This repository contains the seismograms of the Korea Institute of Geoscience and Mineral Resources (KIGAM) and the Korea Institute of Nuclear Safety (KINS) used in Son et al. (2020). The uploaded waveforms were filtered according to the Supporting Information of Son et al. (2020). Continuous waveforms are available via the Korea Meteorological Administration (KMA; http://necis.kma.go.kr).</p> <p>Suggested citation: Son, M., Cho, C. S., Lee, H. K., Han, M., Shin, J. S., Kim, K., Kim, S. (2020). Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea. Journal of Geophysical Research: Solid Earth, e2020JB020005. <a href="https://doi.org/10.1029/2020JB020005">https://doi.org/10.1029/2020JB020005</a></p>
Supplementary Dataset for "Extracting near-field seismograms from ocean-bottom pressure gauge inside the focal area: application to the 2011 Mw 9.1 Tohoku-Oki earthquake"
<p>Datasets S1 contains the results obtained by the analysis in this study, such as the spatial and temporal configuration of the basis functions. Dataset S2 contains the ocean-bottom pressure gauge data used in this study.</p> <p>The manuscript is available at: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL091664</p> <p> </p> <p> </p> <div> </div>
Deliverable 2.1 Aero-hydro-elastic model definition - SOFTWIND 10 MW FOWT (wave-tank SIL version)
<p>For the detailed validation and verification of the capabilities of QBladeOcean in work package 2 of FLOATECH, a detailed definition of the models is needed. This database presents the QBladeOcean model of the DTU 10MW Reference Wind Turbine mounted on the SOFTWIND floater.</p> <p>Update V2.0.0: <br>Structure files are modified according to the requirements of the QBladeCE version</p> <p>Update V3.0.0:<br>- Added controller from SOFTWIND experiments (Modified from DTU 10MW to have oO star controller parameters)<br>- Modified mooring line length<br>- Shifted platform COG slightly towards centerline<br>- Modified blade definition to AD14 blade def.<br>- Included STATICBUOYANCY flag</p> <p>Update V3.1.0:<br>- Included ADVANCEDBUOYANCY flag<br>- Corrected excitation file (.3), previously: incorrect assignment of wave headings and excitation force coefficients<br>- Addition of mean drift file (.8)<br>- Corrected error in added mass matrix entry [4,2] (sway-roll coupling)</p> <p>Update V3.2.0:<br>- DELTA_DIR_DIFF 1-->20<br>- STATICBUOYANCY --> true</p> <p>Update V3.3.0:<br>- updated Substructure .txt file to format compatible with new QBlade version 2.0.6.4+<br>- extrapolation stretching activated<br>- depth dependent drag coefficient of 0.6 until z = -4m<br>- adjusted "DAMP_[-]" paremeter in the "MOORELEMENTS" table of ths Substructure .dat file to be zero due to numerical instabilities</p>
Differential Interferogram of the September 16 2018 Mw 5.3 earthquake Lake Muir, Perth, Australia
<p>A moderate earthquake of Mw 5.3 (M<sub>L</sub> 5.7) occured on September 16 2018 near the Lake Muir region, Perth, SW Australia. Despite Australia being in a mostly stable continental interior, moderate or strong shallow crustral earthquakes occured the past years. Due to shallow faulting and low relief/semi-arid conditions in most regions of Australia, even moderate events lead to surficial deformation in form of mapped surface ruptures or deformation identified by radar satellites (InSAR).</p> <p>The Sep.16 earthquake produced a distinctive surficial deformation pattern, identified in an interferometric pair of Sentinel-1 Copernicus radar images (Descending orbit, September 14 - September 26). Sentinel-1 TOPS Interferogram and Line-of-Sight (LOS) displacement were produced using SNAP and DIAPASON tools in the <a href="https://geohazards-tep.eo.esa.int">Geohazards Exploitation Platform</a>. Color fringes on interferogram represent each a ~2.8cm displacement. Displacement (unwrapped) grid files are also provided.</p> <p>InSAR analysis show co-seismic rupture along a NNE-SSW reverse fault plane, consistent with published moment tensors (USGS). LOS profiles show a 5-15cm displacement across a fault rupture that propagated to the surface. Hundreds of metres of fractures and surface ruptures were reported by local farmers' accounts and photographs to the ABC South West Australia news agency.</p>
Surface deformation of the Mw 6.4 and Mw 7.1 Ridgecrest earthquakes measured from subpixel correlation of Copernicus Sentinel-2 optical images
<p>Surface deformation of the Mw 6.4 and Mw 7.1 Ridgecrest earthquakes measured from subpixel correlation of Copernicus Sentinel-2 optical images </p>
ICP Displacement Fields from the 2016 Mw 7.8 Kaikōura Earthquake over the Papatea Fault, New Zealand
<p>Three-dimensional displacement fields produced over the Papatea Fault, South Island, New Zealand following the 2016 Mw 7.8 Kaikōura earthquake. The dataset was generated from pre- and post-event aerial image point clouds using a windowed implementation of the iterative closest point algorithm.</p> <p>Creation Date: 8/28/2021</p> <p>Authors: Colin Bloom (University of Canterbury, Christchurch, New Zealand), Tim Stahl (University of Canterbury), and Andy Howell (University of Canterbury/GNS Science, Lower Hutt, New Zealand)</p> <p>Projection: New Zealand Transverse Mercator</p> <p>Scale: 25 m/pixel</p> <p>Notes: There are three displacement directions, east, north, and vertical. Positive values represent east, north, and up in the vertical direction respectively in relation to the pre-event surface. Displacement values are in meters. Extremely high or low data values likely represent noise in the dataset.</p>
Slip model and dataset - A stochastic view of the 2020 Elazig Mw 6.8 earthquake (Turkey)
<p>This repository contains files describing the slip model and data published in "A stochastic view of the 2020 Elazig Mw 6.8 earthquake (Turkey)" by T. Ragon et al.</p> <p>The slip model has been inferred with a Bayesian approach (AlTar), assuming a complex fault geometry with triangular subfaults and layered crustal structure, and accounting for epistemic uncertainties.<br> The slip model and dataset are extensively described in the publication.</p> <p>Description of the files:<br> > Slip model<br> - elazig_sigma_dip.dat : Standard deviation of the slip in the along-strike direction<br> - elazig_sigma_stk.dat : Standard deviation of the slip in the along-dio direction<br> - elazig_slip.dat : Total slip amplitude <br> - elazig_slip_dip.dat : Slip amplitude in the along-dip direction<br> - elazig_slip_stk.dat : Slip amplitude in the along-strike direction <br> - elazig_slipdir.dat : Vectors for the rake<br> > Data<br> - elazig_A116_data_rect.dat : downsampled surface displacement for the Sentinel 1A asc. interferogram<br> - elazig_A182_data_rect.dat : downsampled surface displacement for the ALOS 2 asc. interferogram<br> - elazig_A182_po_data_rect.dat : downsampled surface displacement for the ALOS 2 pixel offset ascending track<br> - elazig_D077_data_rect.dat : downsampled surface displacement for the ALOS 2 dsc. interferogram<br> - elazig_D077_po_data_rect.dat : downsampled surface displacement for the ALOS 2 pixel offset descending track<br> - elazig_D123_data_rect.dat : downsampled surface displacement for the Sentinel 1A dsc. interferogram<br> - elazig_gps_data.dat : GPS data</p> <p>The format of all *slip* and *sigma* files at the exception of 'elazig_slipcenterll.dat' and 'elazig_slipdir.dat' is as follow:<br> > -Z[ slip amplitude ] # [subault index 1] [subfault index 2] 9999999 # [ strike slip amplitude] [dip slip amplitude] 0.0 <br> [longitude] [latitude] [depth of point 1]<br> [longitude] [latitude] [depth of point 2]<br> [longitude] [latitude] [depth of point 3]</p> <p>The format of all inteferograms and PO files is as follow:<br> > -Z[surface displacement in the LOS or azimuth direction]<br> [lon] [lat for NW corner]<br> [lon] [lat for NE corner]<br> [lon] [lat for SE corner]<br> [lon] [lat for SW corner]<br> [lon] [lat for NW corner]</p>
New fault slip distribution for the 2010 Mw 7.2 El Mayor Cucapah earthquake based on realistic 3D finite element inversions of coseismic displacements using space geodetic data
<p>The .csv files included in this repository contain the data used in the numerical model as input, while the .txt file is the output (slip on a regular grid of points on the fault planes from the joint inversion of the geodetic datasets.</p>
Mw 7.8, 2016 New Zealand Earthquake Interferogram
<p>Interferogram from Sentinel-1A images acquired on ascending orbit (track 52) on November 3, 2016 and November 15, 2016, respectively</p>
Figure Data_Edge modes in 1D MW PC
<p>(a,b) The 2D transmission spectra of the finite periodic microstrip calculated for different values of the bulk<br>parameter: l/d. The solid black lines mark the edges of the bands for the infinite microstrip, corresponding to kz = 0 or kz = π/d. Two ratios l/d = 0.25 and 0.625 are indicated by vertical dashed lines. The symmetry of the Bloch function at the edges of the band is indicated by the letters S and A, respectively. We considered the system (a) composed of five centrosymmetric cells and (b) its modification, where we added cells of modified sizes at the beginning and end of the microstrip. The sizes of the edge cells and all other parameters are the same as those given in the System section. (c,d) The cross section of the 2D spectra (a,b) at l/d = 0.625 (solid black curves) is supplemented by the measured (red curve) transmission spectra for fabricated structures. For the microstrip with additional cells of modified sizes, we can identify the transmission peaks in the second frequency gap (gray area in (d)). This double peak is attributed to edge modes that decay exponentially in space. It is noteworthy that the edge modes do not exist in the second gap for smaller values of l/d. This is related to the qualitative change in the spectrum, where the order of the edges of the gap and their symmetry are swapped: from symmetric (antisymmetric), for small l/d, to antisymmetric (symmetric), for large l/d, at the lower (upper) edge of the gap. The frequency of the edge modes can be tuned by modifying the edge cells: d0 = 12.5 mm, l0 = 0.5 mm, w0 = 11 mm – see black dotted line. The induction of the edge modes is obtained at the expense of attenuation of the third band due to the strong impedance mismatch in this frequency range.</p>
Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS. Cubuk-Sabuncu-etal-Dataset
<p>The dataset for the article "Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS" by Cubuk-Sabuncu et al. is provided.</p> <p>The weather dataset is now included in version 2.</p>
Station Data and Earthquake Catalogs - Distinct yet adjacent earthquake sequences near the Mendocino Triple Junction: 20 December 2021 Mw 6.1 and 6.0 Petrolia, and 20 December 2022 Mw 6.4 Ferndale
<p>Supplemental Material for publication from The Seismic Record (TSR):</p> <div> <div> <div> <p>Yoon, C. E. and D. R. Shelly (2024). Distinct Yet Adjacent Earthquake Sequences near the Mendocino Triple Junction: 20 December 2021 Mw 6.1 and 6.0 Petrolia, and 20 December 2022 Mw 6.4 Ferndale, The Seismic Record. 4(1), 81–92, doi: 10.1785/0320230053.</p> <p>Data Sets S0-S4 with station data and earthquake catalogs in text format</p> <p>See README_Data_Supplement.pdf for more details about contents of each data file. Please refer to the accompanying publication and its supplement for figures, tables, and equations.</p> </div> </div> </div> <p> </p>
NYS_electricity_load_MW_2011
<p>Data originally comes from NYISO and is aggregated into single time series for NYS in 2011.</p> <p>There are two columns of electricity load, the “historical_load_MW” is the real 2011 NYS electricity load in megawatt; “artificial_load_w_electrification_mw” is an artificial electricity load with building and transportation electrification in megawatt.</p> <p><strong>Data is provided by Quadracci Sustainable Engineering Lab in Columbia University.</strong></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.