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2,555 results for “catalogs”
A Composite Catalog of Damaging Earthquakes for Mainland China
<p>The Mainland China Composite Damaging Earthquake Catalog (MCCDE-CAT) was developed by Li et al. (2021). It contains three databases: Earthquake damage database, Intensity map database, Population exposure database, which for 493 damaging earthquakes that occurred in Mainland China during 1950-2019. Citation: "Y. Li, Z. Zhang, D. Xin, A Composite Catalog of Damaging Earthquakes for Mainland China, Seismol. Res. Lett. 92(6) (2021) 3767-3777. https://doi.org/10.1785/0220210090"</p> <p> </p>
Focal mechanism solutions and relocated earthquake catalog for the Charlevoix Seismic Zone (CSZ)
<p>The relocated catalog for the CSZ (Relocated_earthquakes_CSZ.dat) represent a combination of the catalogs from Yu et al. (2016, BSSA) and Onwuemeka et al. (2018, GRL). The focal mechanism solutions catalog (FMS_CSZ.txt) includes original data combined with the solutions from Mazzotti and Townend (2010, Lithosphere). </p>
Data release associated with ``Search for Coincident Gravitational Wave and Long Gamma-Ray Bursts from 4-OGC and the Fermi-GBM/Swift-BAT Catalog"
<p>This is associated data release for the paper https://arxiv.org/abs/2208.03279. It contains the skymaps from potential gravitational-wave candidates from binary neutron star or neutron star-black hole merger. The notebook showcases how to use it. More information can be found in the github repository: https://github.com/gwastro/gw-longgrb</p> <pre> </pre> <pre> </pre>
HOBITSS earthquake catalog 2014-2015, Hikurangi margin, New Zealand
<p>We include here the full catalog of microearthquake seismicity using the Hikurangi Ocean Bottom Investigation of Tremor and Slow Slip” (HOBITSS) experiment. This catalog is part of a paper submitted to JGR in December 2018. Full catalog details are included in the main manuscript, and the results are considered preliminary until the paper is published</p> <p>Yarce2019_catalog_events.dat file has a more clean up version from the previous one, it states number of P and S phases separately and the total amount of arrivals. It also shows the time in Date Time format in addition to the epoch time format that was already in.</p> <p>[October 10, 2022] We have included the file Yarce2019_catalog_arrivals.csv that contains the arrival data of P and S wave arrivals for the events in the catalog. The last version of the catalog (v3) remained unmodified.</p>
Catalog of 3D DD Locations of the Irpinia Micro-Seismicity from 2008 to 2022
<p>The micro-seismicity catalog was obtained by analyzing a 89 data set consisting of about 2400 micro-earthquakes, with local magnitude (ML) ranging 90 between 0.5 and 3.2. These events were recorded by 42 ISNet and INGV stations from August 2005 to December 2022. We used manually picked first P- and S-wave arrival times from ISNet bulletin (http://isnet-bulletin.fisica.unina.it/cgi-bin/isnet-events/isnet.cgi), and integrated manually picks from INGV stations. Initially, we located the events with a probabilistic method (NLLoc, Lomax et al. 2009) and a 3D velocity model optimized for the area (De Landro et al., 2022), which allowed to obtain a first location catalog with an average RMS residual of 0.15 s and location errors smaller than 2 km. Successively, we refined the absolute 3D location with the double-difference approach (HypoDD, Waldauser & Ellswort, 2000) by using catalog (CT) and cross-correlation (CC) differential times (Schaff & Waldauser, 2005). The final residual RMS was 0.008 s for CC data and 0.03 s for CT data. The final location errors were within 100 meters for most of the events.</p> <p>Moreover, we provided the composite focal mechanisms of four clusters of this new micro-seismicity catalog. Similarly to Muzellec et al. (2023), we evaluated, for selected hypocenter clusters, the composite focal mechanisms by usinf FPFIT (Reasenberg, 1985) and integrating the polarities of co-located events for the construction of more constrained mechanisms. Furthermore, we integrated four additional focal mechanisms of single events. These were selected among the focal mechanisms available from the ISNet bulletin and refined by using the 3D location. To validate this selection, we compared them with those obtained by De Matteis et al. (2012), in which the author performed an extensive analysis of focal mechanisms and refined the stress field of the Irpinia region.</p>
Earthquake Catalog and Phase-Picks from Gakkel Ridge Deep
<div> <p><span><span>Data Set S1:</span></span><span><span> </span></span><span> </span></p> </div> <div> <p><span><span>This data set </span><span>comprises</span><span> the catalog of manually picked events (CC=1) and new detections</span></span>.</p> <p> </p> <div> <p><span><span>Data Set S2: </span></span><span> </span></p> </div> <div> <p><span><span>Manual picks of the earthquakes that have at least 4 phase readings and are closer than </span><span>40 km</span><span> epicentral distance to one of the four recording stations. </span></span></p> </div> </div>
A comprehensive catalog of approxiamte short tandem repeat regions on autosomes and sex chromosomes of the human genome GRCh38
<p>To obtain a general TR catalog across the human genome, we identified genomic intervals with a stretch of approximate repetitions of a DNA motif ranging from 1-6bp on GRCh38 autosomes and sex chromosomes by using STRfinder (v1.0), and each STR region was annotated based on gencode.V38 (https://www.gencodegenes.org/human/release_38.html). To end up, we successfully found 1,656,159 TR intervals, covering 1.107653% (34.2 Mbp) of GRCh38 (https://console.cloud.google.com/storage/browser/_details/genomics-public-data/resources/broad/hg38/v0/Homo_sapiens_assembly38.fasta). </p>
Filament Catalog
<p>The catalog of filaments, clusters, and void centroids accompanying the publication:</p> <p>Tugay, A., & Tarnopolski, M., "Continuous Filament Network of the Local Universe", The Astrophysical Journal, 952, 3 (2023), doi:10.3847/1538-4357/acd9a4</p>
Figure 3 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 3. The proportion of risk statuses of fish families with four or more species assessed at the extent of Florida. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 1 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 1. The proportion of risk statuses of fish families with four or more species assessed at the extent of the conterminous U.S. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 2 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 2. The proportion of risk statuses of fish families with four or more species assessed at the extent of the Great Lakes region. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Template matching catalog of the seismicity induced by hydraulic fracturing operations at Preston New Road (UK) in 2019
<p>The file PNR2_TMcatalog.csv contains the catalog of seismicity induced by the hydraulic fracturing operations carried out at Preston New Road (UK) in 2019. The catalog was created with template matching using a single downhole sensor located in a monitoring well.</p> <p>Here is the description of the columns found in the file:</p> <ul> <li>ARRTIME: P-wave arrival times at the reference station.</li> <li>X, Y, Z: hypocentral coordinates (easting, northing and depth). Northing and easting are expressed in the United Kingdom Ordnance Survey coordinate system (EPSG:27700). Depth is expressed in meters below sea level.</li> <li>MW: moment magnitudes.</li> <li>CLUSTER: cluster ID. Earthquakes with the same cluster ID were detected by the same template.</li> </ul>
Global Microbial SmORF Catalog
<p>The GMSC collates smORF (small open reading frames) from thousands of metagenomes and isolate genomes.</p>
SERPENTINE catalog of solar energetic particle events observed by Helios
<p>This catalog contains multi-spacecraft solar energetic particle (SEP) events, which were observed by Helios. It has been created within the European Union’s Horizon 2020 project <em>SERPENTINE</em> (Solar energetic particle analysis platform for the inner heliosphere). This catalogue is based on data from the Helios mission provided by the previous European project <a href="https://sepserver.eu/index.php?page=catalogue">SEPServer</a>. In addition, technical reports of the University of Kiel from the time of Helios observation (printed version) were used, but the final judgement was done on the basis of the data from SEPServer.</p> <div> <p>It is not the first time that data from this historical mission are included in a statistical study. In Lario et al., 2006 (<a href="https://doi.org/10.1086/508982">https://doi.org/10.1086/508982</a>) some events observed by two or more spacecraft were analyzed from the point of view of their longitudinal and radial spread. The events where protons with energies above 13 MeV were observed by the Helios spacecraft when they were located at less than ~0.85 AU from the Sun were in the focus of the ESA SOL2UP project (for details see Pacheco, 2019, PhD Thesis, <a href="http://hdl.handle.net/10803/667033">http://hdl.handle.net/10803/667033</a>). The events from our catalogue which overlap with these previous studies are marked by letters L or P, correspondingly. At the same time, the data related to the overlapping events (same as for all other events), either characterizing the solar source, location of the observer (spacecraft) or relating to the properties of the particle fluxes were identified independently for the present catalogue. Nevertheless, we would like to acknowledge the authors of the previous SOL2UP project for providing us with the results of their studies.</p> <p>In the majority of the cases the identification of the location of the solar source was based on the available X-ray data of the related solar flare, published in (<a href="https://www.ngdc.noaa.gov">Solar Geophysical Data</a>). In addition, we used information from a previous study of Helios events (Kallenrode 1997, private communication), marked with the “K” sign. The radial distance of the spacecraft from the Sun, the solar wind speed and the Earth-Sun-spacecraft angle were taken from (<a href="https://cdaweb.gsfc.nasa.gov">CDAweb</a>). If there were no data for the solar wind speed during the time of the event, a standard value of 400 km/s was used (in the list itself and in the calculation of the longitude of the magnetic footpoint of the spacecraft). If there was, e.g., a high speed stream of the solar wind close to the time of the event then the average value of the solar wind stream was used. In both cases we used the “~” sign to denote such uncertainties. The location of the footpoint of the spacecraft of the solar disc was obtained by using a simple ballistic back mapping. The proton onset times are based on the SEPServer data.</p> <p> </p> </div> <p>The csv files provided here are archived versions of the <strong>dynamic catalog available at <a href="https://data.serpentine-h2020.eu/catalogs/sep-helios/">https://data.serpentine-h2020.eu/catalogs/sep-helios/</a></strong></p> <p> </p>
Regional Moment Tensor Catalog (Declustered-Shallow Depth) for Northern Banda Arc Region-Indonesia (2009 to 2020) with Additional 3D Synthetic Data
<p>This dataset is produced using an innovative automated procedure that enhances the accuracy and reliability of moment tensor solutions, as described in Halauwet et al. (2024). The dataset includes RMT solutions for the period from 2009 to 2020 in the Northern Banda Arc Region. Additionally, synthetic data, test results and setup files used in the testing and validation of this procedure are included.<br><br>When using this data, please cite the following references:</p> <ul> <li>Halauwet, Y., Afnimar, Triyoso, W., Vackář, J., Daryono, Supendi, P., Daniarsyad, G., Simanjuntak, A. V. H., Pranata, B., Narwadan, H. A. A. M., & Hakim, M. L., Regional moment tensor catalog (declustered-shallow depth) for northern Banda Arc region-Indonesia (2009 to 2020) with additional 3D synthetic data [Data set]. <em>Zenodo</em>, 2024;, <a href="https://doi.org/10.5281/zenodo.10212539">https://doi.org/10.5281/zenodo.10212539</a></li> <li>Halauwet, Y., Afnimar, Triyoso, W., Vackář, J., Daryono, Supendi, P., Daniarsyad, G., Simanjuntak, A. V. H., Pranata, B., Narwadan, H. A. A. M., & Hakim, M. L., A new automated procedure to obtain reliable moment tensor solutions of small to moderate earthquakes (3.0 ≤ M ≤ 5.5) in the Bayesian framework, <em>Geophysical Journal International</em>, 2024;, ggae309, <a href="https://doi.org/10.1093/gji/ggae309">https://doi.org/10.1093/gji/ggae309</a></li> </ul> <p>Email: yehezkiel.halauwet@bmkg.go.id</p>
TorNet 2013 (and catalog)
<p>TorNet catalog and samples from 2013 as described in “A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data”</p> <p>For more detail, visit <a href="https://github.com/mit-ll/tornet">https://github.com/mit-ll/tornet</a></p> <p> </p> <p>DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited.</p> <p> </p> <p>This material is based upon work supported by the Department of the Air Force under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Department of the Air Force.</p> <p> </p> <p>© 2022 Massachusetts Institute of Technology.</p> <p> </p> <p>Delivered to the U.S. Government with Unlimited Rights, as defined in DFARS Part 252.227-7013 or 7014 (Feb 2014). Notwithstanding any copyright notice, U.S. Government rights in this work are defined by DFARS 252.227-7013 or DFARS 252.227-7014 as detailed above. Use of this work other than as specifically authorized by the U.S. Government may violate any copyrights that exist in this work.</p>
Strongly lensed supernovae and quasars catalog
<p>The “lensed_sn_mock.fits" file is a strongly lensed supernovae mock catalog from the paper "Forecast of strongly lensed supernovae rates in the China Space Station Telescope surveys" (arxiv: 2407.10470) and contains ≈ 64,000 lens systems, corresponding to the expected number of lensed supernova events across the full sky per year with intrinsic peak i-band magnitude brighter than 31.5 mag. Descriptions of all the columns of the fits file are available in the paper (arxiv: 2407.10470). Using the same simulation pipeline, we also generated a mock catalog of strongly lensed quasars. We used the same lensing galaxy VDFs as for the strongly lensed SNe mock catalog, and used the redshift-dependent quasar luminosity function from Oguri & Marshall (2010, MNRAS, 405, 2579). The resulting “lensed_qso_mock.fits” contains 580,000 systems, corresponding to the expected number of lensed quasar events across the full sky with intrinsic peak i-band magnitude brighter than 31.5 mag. Columns of this FITS file are similar to those in lensed_sn_mock.fits.</p>
Georeferenced and cataloged dataset built from Nimuendajú's Ethnohistorical Map
<p>This is a publicly available georeferenced ethnohistoric dataset based on Nimuendajú (2017). These data were first used in Barsanetti and Ferreira (2024). We have made this folder available to the wider public for use in academic, not-for-profit research. If you use these data in one of your papers, please cite the data (DOI: 10.5281/zenodo.12772630) and also the following references (or newer versions of them): </p> <p>Nimuendajú, Curt (2017). Mapa Etno-Histórico do Brasil e Regiões Adjacentes. Brasília: Instituto do Patrimônio Histórico e Artístico Nacional, Instituto Brasileiro de Geografia e Estatística.</p> <p>Barsanetti, Bruno, and Alípio Ferreira (2024). “Historical Indigenous Extinctions and Modern Deforestation in the Amazon.” Working paper.</p> <p>Please refer to Barsanetti and Ferreira (2024) for a detailed explanation of the dataset and preparation and a discussion of its strengths and limitations. Please read the "Read Me" file for details on the files, which are in the compressed folder "Compressed Data". We appreciate the research assistance of Matheus Dutra, Alan Gayger, Lilian Kingston Freitas, and Alexandre Portugal. Please contact us by email at bruno.barsanetti@fgv.br for any inquiries. This version of the dataset was published on July 18, 2024.</p> <p>Bruno Barsanetti, EPGE Brazilian School of Economics and Finance<br>Alipio Ferreira, Southern Methodist University</p>
Figs. 6–10. 6. Cerithium magnum Jay, 1836 in Catalog Of Recent Type Specimens In The Division Of Invertebrate Zoology, American Museum Of Natural History. V. Mollusca, Part 2 (Class Gastropoda [Exclusive Opisthobranchia And Pulmonata With Supplements To Gastropoda [Opisthobranchia], And Bivalvia
Figs. 6–10. 6. Cerithium magnum Jay, 1836 (lectotype—AMNH 56067), X 0.75. 7. Conus Bernardi and Crosse, 1861 (syntype—AMNH 47629), X 1.75. 8. Conus pseudoaustini Usticke, (holotype—AMNH 195452), X 2. 9. Cyclostoma maculosa Jay, 1839 (syntype—AMNH 56086), 10. Cyclostoma multilineata Jay, 1839 (syntype—AMNH 56087), X 2.6.
Data set, Model, and Catalog for: Data-driven stellar intrinsic colors and dust reddenings for spectro-photometric data
<p>Intrinsic colors of stars are essential for the studies on both stellar physics and dust reddening. In this work, we developed an XGBoost model to predict the stellar intrinsic colors with the atmospheric parameters, Teff , log g, and [M/H], which is an improvement of the widely used blue-edge method. The dust reddening toward each line-of-sight can then be calculated by the observed colors minus the derived intrinsic colors.</p> <p>Here we provide the related data sets:</p> <ul> <li>xgb_model.pkl: the trained XGBoost model.</li> <li>use_xgb.py: a simple script showing how to use the XGBoost model to predict intrinsic colors.</li> <li>data_set.fits: this fits file contains the training and test sets, separated into four data arrays: <ul> <li>X_train: X-data (teff,logg,mh) of the training set.</li> <li>X_test: X-data (teff,logg,mh) of the test set.</li> <li>y_train: y-data (BP-RP, BP-Ks, J-Ks) of the training set.</li> <li>y_test: y-data (BP-RP, BP-Ks, J-Ks) of the test set.</li> </ul> </li> <li>IC_catalog.csv: a catalog containing a representative set of intrinsic colors at three bands ('BPRP0', 'BPK0', and 'JK0' in columns) as a function of typical Teff, logg, and [M/H] ('teff', 'logg', and 'mh' in columns).</li> </ul> <p>With the above data and model, users can apply the trained XGBoost to new sources to predict their intrinsic colors and calculate their dust reddenings. One can further control the quality of the prediction by selecting training-like sources with the training set and estimating the <a>generalization error by the test set.</a></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.