Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,555
datasets available to search
ShareScore release 0.7.1
Dataset results
2,555 results for “catalogs”
Relocated event catalog for 2014-2024 seismicity at Campi Flegrei
Open the record for dataset details and reuse information.
Catalogs of Deep Long Period Earthquakes at Klyuchevskoy Volcanic Group (Kamchatka) 2011-2012
Open the record for dataset details and reuse information.
Data products associated with "Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows"
<p>These are the data products associated with "Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows" by J. F. Crenshaw, et. al. This includes the input catalog and the outputs of the workflow described here https://github.com/jfcrenshaw/pzflow-paper, as well as a gzip of the github repo.</p>
Synthetic Emission Line Catalog and High-Resolution SEDs for SPHEREx Galaxy Simulations
<p><strong>Overview:</strong></p> <p>This repository contains the synthetic galaxy models derived from multi-wavelength photometry in the COSMOS field (166k galaxies over 1.27 sq. deg., 18 < i < 25) and from the GAMA survey (44k galaxies over 217 sq. deg., i < 18). These encompass a representative sample of galaxies SPHEREx will observe, and should be applicable for other surveys as well.</p> <ul> <li>Synthetic emission line strengths in the rest-frame optical/near-infrared (H-alpha, H-beta, Paschen-alpha, [OIII], [OII], [NII], [SII])</li> <li>High-resolution SEDs (0.1 - 8 micron), which are produced by 1) fitting a library of 160 galaxy templates to multi-band photometry and 2) inserting emission lines with strengths predicted by an empirical model that depends on galaxy type, redshift and stellar mass.</li> </ul> <p>These products were made using the modeling framework <strong>C</strong>onditional <strong>LI</strong>ne <strong>P</strong>ainting on <strong>S</strong>ynthetic <strong>S</strong>pectra (<em>CLIPonSS</em>), the details of which are summarized in Feder+2023b (<a href="https://arxiv.org/abs/2312.04636">arXiv link here</a>). The synthetic emission line catalog is validated against a variety of LF measurements, line ratio trends and direct line comparisons. </p> <p><strong>Data description:</strong></p> <p><em><strong>High-resolution SEDs</strong></em>: The SEDs are stored in .FITS files, for which each galaxy SED has its own Header Data Unit (HDU). This format was chosen due to the fact that the wavelength sampling for the 160 galaxy empirical and model-based templates varies, i.e., we do not perform any interpolation onto a homogenized wavelength grid. In cases where emission lines are added but the continuum template resolution is coarse, the resolution is increased in the vicinity of the emission line(s) to adequately sample the line profiles. Each galaxy's HDU is indexed by its Farmer ID (for COSMOS) or alternatively its uberID (GAMA). The COSMOS SEDs are split into three files for relative ease of access, while the GAMA sources are all in one file.</p> <p><em><strong>Emission line catalogs:</strong></em> The emission line catalogs are stored in .csv format with the following information:</p> <p>Tractor_ID (or uberID) [integer]: Unique identifier for each source</p> <p>RA/DEC [float, in degrees]: Celestial coordinates</p> <p>imag [AB]: i-band magnitude</p> <p>mass_best [float]: log-stellar masses estimated through SED fitting process</p> <p>ebv [float]: Galaxy intrinsic dust extinction (ranging from ebv=0 to 1)</p> <p>redshift [float]: Best-fit redshift from COSMOS2020 (GAMA) catalogs</p> <p>bfit_tid [integer]: Best fit template ID from library of templates</p> <p>dustlaw [integer]: Best fit dust law (1=Prevot, 2=Calzetti, 3=Seaton, 4=Allen, 5=Fitzpatrick)</p> <p>L_{line} [float, erg s-1]: Line luminosities from empirical model</p> <p>F_{line} [float, erg cm-2 s-1]: Line fluxes from empirical model</p> <p>ew_ha [float, Angstrom]: Equivalent width of H-alpha from empirical model</p> <p><strong><em>Fitting templates: </em></strong>We include the 31 model-based templates and 129 empirical templates from Brown+2014. In the Brown templates we have removed any relevant lines that were directly measured in the initial spectra, however we do not fit for/remove PAH features. These can serve as the basis for other empirically based galaxy simulations with different emission line prescriptions.</p> <p>Any questions regarding the use of these data products or related issues can be directed to Richard Feder (link to <a href="https://richardfeder.github.io/">personal website</a>). </p> <p> </p>
Catalog-level blinding on the bispectrum for DESI-like galaxy surveys
<p>Points used in the Figures in the paper "Catalog-level blinding on the bispectrum for DESI-like galaxy surveys".</p>
Cataloging Distant Galactic Open Clusters: Identification of 739 New Star Clusters Beyond 5 kpc Utilizing GAIA DR3 Data
<p><span>The figures of the 739 open clusters that report in our paper (Cataloging Distant Galactic Open Clusters: Identification of 739 New Star Clusters Beyond 5 kpc Utilizing GAIA DR3 Data)</span></p> <p><span> complete King's model<span> </span>profile fitting, sky charts and 5-panels ( spatial distribution, proper-motion distribution,</span></p> <p><span><span>parallax statistics, parallax distribution, and CMD)</span> .</span></p>
Earthquake catalog at the Blanco Transform Fault Zone between 2012 and 2013
<p>The csv file provides an earthquake catalog derived from data of ocean-bottom seismometers operated between 2012 and 2013 at the Blanco Transform Fault Zone. The data file is in ASCII text format. The first row is a column header that describes the content of the catalog: Earthquake origin date, time, latitude, longitude, depth and local magnitude. Not all earthquakes have a local magnitude estimate due to data selection.</p>
Wide-field Infrared Survey Explorer (WISE) Catalog of Periodic Variable Stars
<p> Wide-field Infrared Survey Explorer (WISE) Catalog of Periodic Variable Stars<br> Xiaodian Chen, Shu Wang, Licai Deng, Richard de Grijs and Ming Yang</p> <p> We have compiled the first all-sky mid-infrared variable-star catalog based on Wide-field<br> Infrared Survey Explorer (WISE) five-year survey data. Requiring more than 100 detections<br> for a given object, 50,282 carefully and robustly selected periodic variables are discovered,<br> of which 34,769 (69%) are new. Most are located in the Galactic plane and near the equatorial<br> poles. A method to classify variables based on their mid-infrared light curves is established<br> using known variable types in the General Catalog of Variable Stars. Careful classification of<br> the new variables results in a tally of 21,427 new EW-type eclipsing binaries, 5654 EA-type <br> eclipsing binaries, 1312 Cepheids, and 1231 RR Lyraes. By comparison with known variables <br> available in the literature, we estimate that the misclassi- fication rate is 5% and 10% for<br> short- and long-period variables, respectively. A detailed comparison of the types, periods, <br> and amplitudes with variables in the Catalina catalog shows that the independently obtained <br> classifications parameters are in excellent agreement. This enlarged sample of variable <br> stars will not only be helpful to study Galactic structure and extinction properties, <br> they can also be used to constrain stellar evolution theory and as potential candidates for<br> the James Webb Space Telescope.<br> <br> These supplementary materials contain ALLWISE and NEOWISE-R single-exposure photometry tables of variables list<br> in Table 2 and 6 of the paper, and light curve figures for the 50,282 periodic variables in Table 2. <br> SourceID is identifier join these attachments to Table 2 and 6.</p> <p>Example: For variable star WISEJ094812.4+093448 in Table 2, the SourceID=170 is adopted to search <br> corresponding single-exposure information in both 'allwise12.txt' and 'neowise12.txt'. </p> <p>File Description:</p> <p>allwise12.txt Single exposure photometry data of variables from ALLWISE.</p> <p> Bytes Format Units Label Explanations<br> ----------------------------------------------------------------------------------------- <br> 1- 8 I5 --- SourceID Internal source identifier <br> 10- 20 F11.7 deg RAdeg Right Ascension in decimal degrees (J2000) <br> 22- 32 F11.7 deg DEdeg Declination in decimal degrees (J2000) <br> 34- 47 F14.8 day MJD Modified Julian date of the mid-point of the observation <br> 49- 54 F6.3 mag W1mag Single exposure WISE W1 (3.35 micron) band magnitude<br> 56- 63 F6.3 mag eW1mag W1 band uncertainty<br> 65- 77 F6.3 mag W2mag Single exposure WISE W2 (4.6 micron) band magnitude <br> 79- 86 F6.3 mag eW1mag W2 band uncertainty<br> -----------------------------------------------------------------------------------------<br> <br> <br> neowise12.txt Single exposure photometry data of variables from NEOWISE-R.</p> <p> Bytes Format Units Label Explanations<br> -----------------------------------------------------------------------------------------<br> 1- 8 I5 --- SourceID Internal source identifier <br> 10- 21 F11.7 deg RAdeg Right Ascension in decimal degrees (J2000) <br> 23- 34 F11.7 deg DEdeg Declination in decimal degrees (J2000) <br> 36- 44 F6.3 mag W1mag Single exposure WISE W1 (3.35 micron) band magnitude<br> 46- 54 F6.3 mag eW1mag W1 band uncertainty<br> 56- 64 F6.3 mag W2mag Single exposure WISE W2 (4.6 micron) band magnitude <br> 66- 74 F6.3 mag eW1mag W2 band uncertainty<br> 76- 90 F14.8 day MJD Modified Julian date of the mid-point of the observation<br> -----------------------------------------------------------------------------------------</p> <p> <br> figure0.zip -- figure23.zip Full figures of 50282 WISE variables. They are divided into 24 <br> packages by the order of Right Ascension.</p>
gwastro/1-ogc: v1.0 of the 1-OGC Catalog of Compact Binary Merger Candidates
<p>Introduction</p> <p>This repository contains the first Open Gravitational-wave Catalog (1-OGW), which is obtained by using the public data from Advanced LIGO's first observing run to search for compact-object binary mergers. Our analysis is based on new methods that improve the separation between signals and noise in matched-filter searches for gravitational waves from the merger of compact objects.</p> <p>We make available our complete catalog of events, including the sub-threshold population of candidates. The catalog contains approximately 150,000 candidate events. We note that since the vast majority of the events in the catalog are likely to be noise, we have provided information to rank and select candidate events. The three most significant signals in our catalog correspond to the binary black hole mergers <a href="https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.061102">GW150914</a>, <a href="https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.241103">GW151226</a>, and <a href="https://journals.aps.org/prd/abstract/10.1103/PhysRevD.93.122003">LVT151012</a>, respectively. We observe these signals at a true discovery rate of 99.92%. We find that LVT151012 alone has a 97.6% probability of being astrophysical in origin. No other significant binary black hole candidates are found, nor did we observe any significant binary neutron star or neutron star--black hole candidates.</p> <p>The catalog is stored in the file '1-OGC.hdf'. There are a variety of tools to access <a href="https://www.hdfgroup.org/">hdf files</a> from numerous computing languages. Here we will focus on access through python and <a href="www.h5py.org">h5py</a>.</p> <p>Analysis Details</p> <p>Details of the analysis are available in this <a href="https://arxiv.org/abs/1811.01921">preprint paper</a> and the configuration files needed to create the analysis workflows are provided in the <a href="https://github.com/gwastro/1-ogc/tree/master/workflow/configuration">workflow/configuration</a> directory.</p>
Figure 3 in TaXonomic Catalog of the Brazilian Fauna: Hydraenidae (Insecta: Coleoptera), diversity and distribution
Figure 3. Number of Hydraenidae species recorded from Brazil by year (1923–2022).
Figure 1 in TaXonomic Catalog of the Brazilian Fauna: Hydraenidae (Insecta: Coleoptera), diversity and distribution
Figure 1. Known distribution of Hydraenidae species from Brazil.
Fig. 1 in Catalog of the genus Plocia Newman, 1842 (Cerambycidae: Lamiinae: Apomecynini) of the Philippines with the description of a new species from Davao De Oro Mindanao Island
Fig. 1. Habitus ofPlocia maglanai sp. nov.: A. Dorsal, B. Ventral, C. Lateral, D. Frons.
Catalogue of Life: Catalog of Life for DH (20 Feb 2019 dump)
<p></p>https://eol-jira.bibalex.org/browse/TRAM-803 Data sets for the assembly of the EOL dynamic hierarchy.
Catalogue of Life: Catalog of Life Extract for DH (TRAM-797)
CoL with the following branches removed: Viruses (using ICTV), Bacteria, Archaea, Chromista, Protozoa (using NCBI + WoRMS + CoL Protist Extract), Aves (using IOC), Amphibia (using ASW), Odonata (using WOL), Bombycoidea (using Kitching et al. 2018), Anthelidae (now Bombycoidea), Onychophora (using Oliveira et al. 2012), Phthiraptera (duplicates Psocodea Species File data). Data sets for the assembly of the EOL dynamic hierarchy.
Catalogue of Life: Catalog of Life Protists
CoL Ciliophora, Oomycota, Polycystina, Eccrinida, Microsporidia, Mycetozoa, Chaetocerotaceae, Naviculaceae branches. Data sets for the assembly of the EOL dynamic hierarchy.
Catalogue of Life: Catalog of Life Protists (20 Feb 2019 dump)
<p></p>https://eol-jira.bibalex.org/browse/TRAM-803 Data sets for the assembly of the EOL dynamic hierarchy.
Figure 1 in The taxonomic catalog of the Brazilian fauna: Dermaptera and Phasmatodea (Insecta), with commentaries on species list, types, authorship and distribution
Figure 1. Number of species by biome: (A) Dermaptera; (B) Phasmatodea.
Catalog of Hymenoptera in America North of Mexico
Catalog of Hymenoptera in America North of Mexico / Prepared cooperatively by specialists on the various groups of Hymenoptera under the direction of Karl V. Krombein and Paul D. Hurd, Jr. Smithsonian Institution and David R. Smith and B. D. Burks Systematic Entomology Laboratory, Insect Identification and Beneficial Insect Introduction Institute Science and Education Administration, United States Department of Agriculture. Smithsonian Institution Press, Washington, DC, 1979.
FRB Mock Catalog and Reproduction Package for "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"
<h3>Quickstart: FRB Mock Catalog</h3> <p>A simulated 1-day catalog of one-off FRBs, that allows users to access the FRB population without installing the entire frbpoppy package. Download and unzip 1_Day_FRB_Sky_on_Earth.txt.zip (175 MB). This human and machine readable file contains 3.5E6 FRBs that are brighter than 0.01 Jy ms, the best limit in one-off FRB detection currently. The simulated catalog is produced by the perfect telescope in frbpoppy, free of selection effects, that observed 4pi of sky for 24 hrs, with minimum detectable fluence 0.01 Jy ms, for the best-fit no-delay SFR model. This file can be read using the accompanying jupyter notebook "starting_with_mock_catalog.ipynb".</p> <p>If you use this, please cite Wang & van Leeuwen 2024 (A&A), <a href="https://doi.org/10.1051/0004-6361/202450673">https://doi.org/10.1051/0004-6361/202450673</a></p> <h3>Reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"</h3> <p>ReproductionPackage.zip is a basic reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin" by Wang & van Leeuwen (2024).</p> <p> * arXiv: [<a href="https://arxiv.org/abs/2405.06281">2405.06281</a>] <br> * DOI: [<a href="https://doi.org/10.1051/0004-6361/202450673">10.1051/0004-6361/202450673</a>] </p> <h3>Installation</h3> <p>First pull or download and `frbpoppy` from <https://github.com/TRASAL/frbpoppy>.<br>Then download `ReproductionPackage.zip` and extract it starting in the frbpoppy/ base directory.<br>The scripts to produce the Figures are found in folder `frbpoppy/tests/markov_chain_monte_carlo/`.<br>The data used for these Figures resides in folder `frbpoppy/data/populations/mcmc/`.</p> <h3>Software</h3> <p>The methods and software packages used to produce the results are listed in the paper (including links to the relevant publications and/or packages):<br> FRBPOPPY: <https://github.com/TRASAL/frbpoppy><br> TRASAL: <https://github.com/TRASAL></p> <h3>Raw Data</h3> <p>The data are publicly available at<br> https://www.wis-tns.org/</p> <p> </p>
Table 1 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
<p><b>Table 1.</b> List of fish species with high-risk statuses in the conterminous U.S., in the Great Lakes region, and in the state of Florida. Horizontal lines separate families and species for clarity.</p><table><tbody><tr><th>Family Name</th><th>Fish species name</th><th>Conterminous U.S.</th><th>Great Lakes</th><th>Florida</th></tr></tbody><tbody><tr><th>Atherinidae</th><td><i>Atherina boyeri</i> (Risso, 1810)</td><td>X</td><td>X</td><td></td></tr><tr><th>Atherinopsidae</th><td><i>Menidia beryllina</i> (Cope, 1867)</td><td>X</td><td></td><td></td></tr><tr><td><i>Odontesthes bonariensis</i> (Valenciennes, 1835)</td><td>X</td><td></td><td></td></tr><tr><th>Callichthyidae</th><td><i>Hoplosternum littorale</i> (Hancock, 1828)</td><td></td><td></td><td>X</td></tr><tr><th>Centrarchidae</th><td><i>Lepomis microlophus</i> (Günther, 1859)</td><td>X</td><td>X</td><td></td></tr><tr><td><i>Micropterus dolomieu</i> (Lacepède, 1802)</td><td>X</td><td></td><td></td></tr><tr><td><i>Micropterus salmoides</i> (Lacepède, 1802)</td><td>X</td><td></td><td></td></tr><tr><th>Centropomidae</th><td><i>Lates niloticus</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><th>Channidae</th><td><i>Channa argus</i> (Cantor, 1842)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Channa marulius</i> (Hamilton, 1822)</td><td></td><td></td><td>X</td></tr><tr><th>Characidae</th><td><i>Pygocentrus nattereri</i> (Kner, 1858)</td><td>X</td><td></td><td></td></tr><tr><th>Cichlidae</th><td><i>Amatitlania nigrofasciata</i> (Günther, 1867)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Astronotus ocellatus</i> (Agassiz, 1831)</td><td>X</td><td></td><td></td></tr><tr><td><i>Cichla kelberi</i> (Kullander & Ferreira, 2006)</td><td>X</td><td></td><td></td></tr><tr><td><i>Cichla ocellaris</i> (Bloch & Schneider, 1801)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Cichlasoma uropthalma</i> (Günther, 1862)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Coptodon rendalli</i> (Boulenger, 1897)</td><td>X</td><td></td><td></td></tr><tr><td><i>Coptodon zilli</i> (Gervais, 1848)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Hemichromis letourneuxi</i> (Sauvage, 1880)</td><td>X</td><td></td><td></td></tr><tr><td><i>Herichthys cyanoguttatus</i> (Baird & Girard, 1854)</td><td>X</td><td></td><td></td></tr><tr><td><i>Oreochromis aureus</i> (Steindachner, 1864)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Oreochromis mossambicus</i> (Peters, 1852)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Oreochromis niloticus</i> (Linnaeus, 1758)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Parachromis managuensis</i> (Günther, 1862)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Pelmatotilapia mariae</i> (Boulenger, 1899)</td><td>X</td><td></td><td></td></tr><tr><td><i>Sarotherodon melanotheron</i> (Rüppell, 1852)</td><td>X</td><td></td><td></td></tr><tr><td><i>Serranochromis robustus</i> (Günther, 1864)</td><td>X</td><td></td><td></td></tr><tr><th>Clariidae</th><td><i>Clarias batrachus</i> (Linnaeus, 1758)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Clarias fuscus</i> (Lacepède, 1803)</td><td>X</td><td></td><td></td></tr><tr><td><i>Clarias gariepinus</i> (Burchell, 1822)</td><td>X</td><td></td><td></td></tr><tr><th>Clupeidae</th><td><i>Alosa aestivalis</i> (Mitchell, 1814)</td><td>X</td><td></td><td></td></tr><tr><td><i>Alosa pseudoharengus</i> (Wilson, 1811)</td><td>X</td><td>X</td><td></td></tr><tr><th>Cobitidae</th><td><i>Misgurnus anguillicaudatus</i> (Cantor, 1842)</td><td>X</td><td></td><td>X</td></tr><tr><th>Cyprinidae</th><td><i>Abramis brama</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Alburnus alburnus</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Barbus barbus</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Carassius auratus</i> (Linnaeus, 1758)</td><td></td><td></td><td>X</td></tr><tr><td><i>Carassius gibelio</i> (Bloch, 1782)</td><td>X</td><td></td><td></td></tr><tr><td><i>Ctenopharyngodon idella</i> (Valenciennes, 1844)</td><td>X</td><td>X</td><td>X</td></tr><tr><td><i>Culter alburnus</i> (Basilewsky, 1855)</td><td>X</td><td></td><td></td></tr><tr><td><i>Cyprinella lutrensis</i> (Baird & Girard, 1853)</td><td>X</td><td></td><td></td></tr><tr><td><i>Cyprinus carpio</i> (Linnaeus, 1758)</td><td>X</td><td>X</td><td>X</td></tr><tr><td><i>Gobio gobio</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Hypophthalmichthys molitrix</i> (Valenciennes, 1844)</td><td>X</td><td></td><td></td></tr><tr><td><i>Hypophthalmichthys nobilis</i> (Richardson, 1845)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Leuciscus idus</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Mylopharyngodon piceus</i> (Richardson, 1846)</td><td>X</td><td></td><td></td></tr><tr><td><i>Opsariichthys uncirostris</i> (Temminck & Schlegel, 1846)</td><td>X</td><td></td><td></td></tr><tr><td><i>Pimephales promelas</i> (Rafinsque, 1820)</td><td></td><td></td><td>X</td></tr><tr><td><i>Phoxinus phoxinus</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Protochondrostoma genei</i> (Bonaparte, 1839)</td><td>X</td><td></td><td></td></tr><tr><td><i>Pseudorasbora parva</i> (Temminck & Schlegel, 1846)</td><td>X</td><td></td><td></td></tr><tr><td><i>Rhodeus amarus</i> (Bloch, 1782)</td><td>X</td><td></td><td></td></tr><tr><td><i>Rutilus aula</i> (Bonparte,1841)</td><td>X</td><td></td><td></td></tr><tr><td><i>Rutilus rutilus</i> (Linnaeus, 1758)</td><td>X</td><td>X</td><td></td></tr><tr><td><i>Scardinius erythrophthalmus</i> (Linnaeus, 1758)</td><td>X</td><td>X</td><td></td></tr><tr><td><i>Tinca tinca</i> (Linnaeus, 1758)</td><td>X</td><td>X</td><td></td></tr><tr><th>Esocidae</th><td><i>Esox lucius</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Esox masquinongy</i> (Mitchill, 1824)</td><td>X</td><td></td><td></td></tr><tr><th>Gasterosteidae</th><td><i>Gasterosteus aculeatus</i> (Linnaeus, 1758)</td><td>X</td><td>X</td><td></td></tr><tr><th>Gobiidae</th><td><i>Neogobius melanostomus</i> (Pallas, 1814)</td><td>X</td><td>X</td><td></td></tr><tr><td><i>Ponticola platyrostris</i> (Pallas, 1814)</td><td>X</td><td></td><td></td></tr><tr><td><i>Proterorhinus semilunaris</i> (Heckel, 1837)</td><td>X</td><td></td><td></td></tr><tr><th>Heteropneustidae</th><td><i>Heteropneustes fossilis</i> (Bloch, 1794)</td><td>X</td><td></td><td></td></tr><tr><th>Ictaluridae</th><td><i>Ictalurus furcatus</i> (Valenciennes, 1840)</td><td>X</td><td></td><td></td></tr><tr><td><i>Pylodictis olivaris</i> (Rafinesque, 1818)</td><td>X</td><td></td><td></td></tr><tr><th>Loricariidae</th><td><i>Hypostomus plecostomus</i> (Linnaeus, 1758)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Pterygoplichthys anisitsi</i> (Eigenmann & Kennedy, 1903)</td><td></td><td></td><td>X</td></tr><tr><td><i>Pterygoplichthys disjunctivus</i> (Weber, 1991)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Pterygoplichthys multiradiatus</i> (Hancock, 1828)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Pterygoplichthys pardalis</i> (Castelnau, 1855)</td><td>X</td><td></td><td></td></tr><tr><th>Moronidae</th><td><i>Morone americana</i> (Gmelin, 1789)</td><td>X</td><td>X</td><td></td></tr><tr><th>Notopteridae</th><td><i>Chitala ornata</i> (Gray, 1831)</td><td>X</td><td></td><td></td></tr><tr><th>Odontobutidae</th><td><i>Perccottus glenii</i> (Dybowski, 1877)</td><td>X</td><td></td><td></td></tr><tr><th>Osmeridae</th><td><i>Hypomesus nipponensis</i> (McAllister, 1963)</td><td>X</td><td></td><td></td></tr><tr><td><i>Osmerus eperlanus</i> (Linnaeus, 1758)</td><td>X</td><td>X</td><td></td></tr><tr><td><i>Osmerus mordax</i> (Mitchill, 1814)</td><td>X</td><td></td><td></td></tr><tr><th>Osphronemidae</th><td><i>Trichogaster lalius</i> (Hamilton, 1822)</td><td>X</td><td></td><td></td></tr><tr><td><i>Trichopodus trichopterus</i> (Pallas, 1770)</td><td>X</td><td></td><td></td></tr><tr><th>Percidae</th><td><i>Gymnocephalus cernua</i> (Linnaeus, 1758)</td><td>X</td><td>X</td><td></td></tr><tr><td><i>Perca flavescens</i> (Mitchill, 1814)</td><td>X</td><td></td><td></td></tr><tr><td><i>Perca fluviatilis</i> (Linnaeus, 1758)</td><td>X</td><td>X</td><td></td></tr><tr><td><i>Sander lucioperca</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Sander vitreus</i> (Mitchill, 1818)</td><td>X</td><td></td><td></td></tr><tr><th>Petromyzontidae</th><td><i>Petromyzon marinus</i> (Linnaeus, 1758)</td><td></td><td>X</td><td></td></tr><tr><th>Poeciliidae</th><td><i>Belonesox belizanus</i> (Kner, 1860)</td><td>X</td><td></td><td></td></tr><tr><td><i>Gambusia affinis</i> (Baird & Girard, 1853)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Gambusia holbrooki</i> (Girard, 1859)</td><td>X</td><td></td><td></td></tr><tr><td><i>Poecilia latipinna</i> (Lesueur, 1821)</td><td>X</td><td></td><td></td></tr><tr><td><i>Poecilia reticulata</i> (Peters, 1859)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Poecilia sphenops</i> (Valciennes, 1846)</td><td>X</td><td></td><td>X</td></tr><tr><td><i>Xiphophorus helleri</i> (Heckel, 1848)</td><td>X</td><td></td><td></td></tr><tr><td><i>Xiphophorus variatus</i> (Meek, 1904)</td><td>X</td><td></td><td></td></tr><tr><th>Polypteridae</th><td><i>Polypterus delhezi</i> (Boulenger, 1899)</td><td></td><td></td><td>X</td></tr><tr><th>Pomacentridae</th><td><i>Neopomacentrus cyanomos</i> (Bleeker, 1856)</td><td>X</td><td></td><td></td></tr><tr><th>Potamotrygonidae</th><td><i>Potamotrygon falkneri</i> (Castex & Maciel, 1963)</td><td>X</td><td></td><td></td></tr><tr><td><i>Potamotrygon motoro</i> (Müller & Henle, 1841)</td><td>X</td><td></td><td></td></tr><tr><td><i>Potamotrygon schuhmacheri</i> (Castex, 1964)</td><td>X</td><td></td><td></td></tr><tr><th>Salmonidae</th><td><i>Coregonus albula</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Coregonus lavaretus</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Coregonus maraena</i> (Bloch, 1779)</td><td>X</td><td></td><td></td></tr><tr><td><i>Coregonus peled</i> (Gmelin, 1789)</td><td>X</td><td></td><td></td></tr><tr><td><i>Hucho hucho</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><td><i>Oncorhynchus kisutch</i> (Walbaum, 1792)</td><td></td><td>X</td><td></td></tr><tr><td><i>Oncorhynchus mykiss</i> (Walbaum, 1792)</td><td></td><td>X</td><td></td></tr><tr><td><i>Oncorhynchus tshawytscha</i> (Walbaum, 1792)</td><td></td><td>X</td><td></td></tr><tr><td><i>Salmo trutta</i> (Linnaeus, 1758)</td><td></td><td>X</td><td></td></tr><tr><th>Scorpaenidae</th><td><i>Pterois miles</i> (Bennett, 1828)</td><td>X</td><td></td><td></td></tr><tr><td><i>Pterois volitans</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr><tr><th>Siluridae</th><td><i>Silurus glanis</i> (Linnaeus, 1758)</td><td>X</td><td></td><td></td></tr></tbody></table>
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.