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171 results for “POPs”

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zenodo52/100

The POPS dataset for 31P16O

<p>The dataset is an archive of ExoMol page, https://exomol.com/data/molecules/PO/31P-16O/POPS.<br>Please check the reference details according to the following description or directly from the website.<br> <strong>NB: The html description skips data which are not included in the current version for the purpose of simplicity. Please check PO_31P16O_POPS.md for detailed information.</strong> <br></p> <strong>Definitions file</strong> <blockquote> <p><strong>31P-16O__POPS.def</strong>[6.58 KB]<br></p> <p><strong>References:</strong><br> 1. Tennyson, J., Yurchenko, S. N., Al-Refaie, A. F., Clark, V. H. J., Chubb, K. L., Conway, E. K., Dewan, A., Gorman, M. N., Hill, C., Lynas-Gray, A. E., Mellor, T., McKemmish, L. K., Owens, A., Polyansky, O. L., Semenov, M., Somogyi, W., Tinetti, G., Upadhyay, A., Waldmann, I., Wang, Y., Wright, S., Yurchenko, O. P., "The 2020 release of the ExoMol database: molecular line lists for exoplanet and other hot atmospheres", J. Quant. Spectrosc. Rad. Transf., 255, 107228 (2020). [<a href="https://doi.org/10.1016/j.jqsrt.2020.107228">https://doi.org/10.1016/j.jqsrt.2020.107228</a>]</p> </blockquote> <strong>Spectroscopic Model</strong> <blockquote> <p><a href="https://exomol.com/models/PO/31P-16O/POPS/">https://exomol.com/models/PO/31P-16O/POPS/</a><br></p> </blockquote> <strong>POPS: other States files</strong> <p><strong>NB: These data are not included in current version on Zenodo</strong><br> <strong>Data can be accessed via:</strong> https://exomol.com/data/molecules/PO/31P-16O/POPS<br></p> <strong>POPS: line list</strong> <p><em>ExoMol line lists -- XXIII: Hot line lists for PO (X state) and PS (X, B, a states).</em><br></p> <blockquote> <p><strong>31P-16O__POPS.trans.bz2</strong>[24.45 MB]<br>The transition file (list of Einstein coefficients) for the POPS line list for (31P)(16O).</p> <p><strong>References:</strong><br> 1. Prajapat, L., Jagoda, P., Lodi, L. Gorman, Maire N., Yurchenko, S. N., Tennyson, J., "ExoMol molecular line lists - XXIII. Spectra of PO and PS", Monthly Notices of the Royal Astronomical Society 472, 3648-3658 (2017). <a href="[https://doi.org/10.1093/mnras/stx2229]">[https://doi.org/10.1093/mnras/stx2229]</a>[17PrJaLo.Po]<br></p> </blockquote> <strong>POPS: partition function</strong> <p><em>ExoMol line lists -- XXIII: Hot line lists for PO (X state) and PS (X, B, a states).</em><br></p> <blockquote> <p><strong>31P-16O__POPS.pf</strong>[117.19 KB]<br>The partition function file for the POPS line list for (31P)(16O).</p> <p><strong>References:</strong><br> 1. Prajapat, L., Jagoda, P., Lodi, L. Gorman, Maire N., Yurchenko, S. N., Tennyson, J., "ExoMol molecular line lists - XXIII. Spectra of PO and PS", Monthly Notices of the Royal Astronomical Society 472, 3648-3658 (2017). <a href="[https://doi.org/10.1093/mnras/stx2229]">[https://doi.org/10.1093/mnras/stx2229]</a>[17PrJaLo.Po]<br></p> </blockquote> <strong>POPS: opacity</strong> <p><em>ExoMol line lists -- XXIII: Hot line lists for PO (X state) and PS (X, B, a states).</em><br></p> <blockquote> <p><strong>31P-16O__POPS.R1000_0.3-50mu.ktable.ARCiS.fits.gz</strong>[356.08 MB]<br>ARCiS k-tables at R= 1000 (0.3-50mu) in fits format (gzipped): POPS (31P)(16O) line list.</p> <p><strong>31P-16O__POPS.R1000_0.3-50mu.ktable.petitRADTRANS.h5</strong>[370.98 MB]<br>petitRADTRANS k-tables at R= 1000 (0.3-50mu) in HDF5 format: POPS (31P)(16O) line list.</p> <p><strong>31P-16O__POPS.R1000_0.3-50mu.ktable.NEMESIS.kta</strong>[232.01 MB]<br>NEMESIS k-tables at R= 1000 (0.3-50mu) in NEMESIS-kta format: POPS (31P)(16O) line list.</p> <p><strong>31P-16O__POPS.R15000_0.3-50mu.xsec.TauREx.h5</strong>[348.39 MB]<br>TauREx k-tables at R= 15000 (0.3-50mu) in HDF5 format: POPS (31P)(16O) line list.</p> <p><strong>References:</strong><br> 1. Prajapat, L., Jagoda, P., Lodi, L. Gorman, Maire N., Yurchenko, S. N., Tennyson, J., "ExoMol molecular line lists - XXIII. Spectra of PO and PS", Monthly Notices of the Royal Astronomical Society 472, 3648-3658 (2017). <a href="[https://doi.org/10.1093/mnras/stx2229]">[https://doi.org/10.1093/mnras/stx2229]</a>[17PrJaLo.Po]<br> 2. Chubb, K. L., Rocchetto, M., Yurchenko, S. N., Min, M., Waldmann, I., Barstow, J. K., Molliere, P., Al-Refaie, A. F, Phillips, M. W., Tennyson, J., "The ExoMolOP database: Cross sections and k-tables for molecules of interest in high-temperature exoplanet atmospheres", Astronomy and Astrophysics 646, A21 (2020). <a href="[http://dx.doi.org/10.1051/0004-6361/202038350]">[http://dx.doi.org/10.1051/0004-6361/202038350]</a>[20ChRoYu.]<br></p> </blockquote>

opencc-by-4.0Sep 2017View details →
zenodo52/100

The POPS dataset for 31P32S

<p>The dataset is an archive of ExoMol page, https://exomol.com/data/molecules/PS/31P-32S/POPS.<br>Please check the reference details according to the following description or directly from the website.<br> <strong>NB: The html description skips data which are not included in the current version for the purpose of simplicity. Please check PS_31P32S_POPS.md for detailed information.</strong> <br></p> <strong>Definitions file</strong> <blockquote> <p><strong>31P-32S__POPS.def</strong>[6.58 KB]<br></p> <p><strong>References:</strong><br> 1. Tennyson, J., Yurchenko, S. N., Al-Refaie, A. F., Clark, V. H. J., Chubb, K. L., Conway, E. K., Dewan, A., Gorman, M. N., Hill, C., Lynas-Gray, A. E., Mellor, T., McKemmish, L. K., Owens, A., Polyansky, O. L., Semenov, M., Somogyi, W., Tinetti, G., Upadhyay, A., Waldmann, I., Wang, Y., Wright, S., Yurchenko, O. P., "The 2020 release of the ExoMol database: molecular line lists for exoplanet and other hot atmospheres", J. Quant. Spectrosc. Rad. Transf., 255, 107228 (2020). [<a href="https://doi.org/10.1016/j.jqsrt.2020.107228">https://doi.org/10.1016/j.jqsrt.2020.107228</a>]</p> </blockquote> <strong>Spectroscopic Model</strong> <blockquote> <p><a href="https://exomol.com/models/PS/31P-32S/POPS/">https://exomol.com/models/PS/31P-32S/POPS/</a><br></p> </blockquote> <strong>POPS: other States files</strong> <p><strong>NB: These data are not included in current version on Zenodo</strong><br> <strong>Data can be accessed via:</strong> https://exomol.com/data/molecules/PS/31P-32S/POPS<br></p> <strong>POPS: line list</strong> <p><em>ExoMol line lists -- XXIII: Hot line lists for PO (X state) and PS (X, B, a states).</em><br></p> <blockquote> <p><strong>31P-32S__POPS.trans.bz2</strong>[349.42 MB]<br>The transition file (Einstein A coefficients) for the POPS line list for (31P)(32S).</p> <p><strong>References:</strong><br> 1. Prajapat, L., Jagoda, P., Lodi, L. Gorman, Maire N., Yurchenko, S. N., Tennyson, J., "ExoMol molecular line lists - XXIII. Spectra of PO and PS", Monthly Notices of the Royal Astronomical Society 472, 3648-3658 (2017). <a href="[https://doi.org/10.1093/mnras/stx2229]">[https://doi.org/10.1093/mnras/stx2229]</a>[17PrJaLo.Po]<br></p> </blockquote> <strong>POPS: partition function</strong> <p><em>ExoMol line lists -- XXIII: Hot line lists for PO (X state) and PS (X, B, a states).</em><br></p> <blockquote> <p><strong>31P-32S__POPS.pf</strong>[126.95 KB]<br>The partition function for the POPS line list for (31P)(32S).</p> <p><strong>References:</strong><br> 1. Prajapat, L., Jagoda, P., Lodi, L. Gorman, Maire N., Yurchenko, S. N., Tennyson, J., "ExoMol molecular line lists - XXIII. Spectra of PO and PS", Monthly Notices of the Royal Astronomical Society 472, 3648-3658 (2017). <a href="[https://doi.org/10.1093/mnras/stx2229]">[https://doi.org/10.1093/mnras/stx2229]</a>[17PrJaLo.Po]<br></p> </blockquote> <strong>POPS: opacity</strong> <p><em>ExoMol line lists -- XXIII: Hot line lists for PO (X state) and PS (X, B, a states).</em><br></p> <blockquote> <p><strong>31P-32S__POPS.R1000_0.3-50mu.ktable.ARCiS.fits.gz</strong>[445.78 MB]<br>ARCiS k-tables at R= 1000 (0.3-50mu) in fits format (gzipped): POPS (31P)(32S) line list.</p> <p><strong>31P-32S__POPS.R1000_0.3-50mu.ktable.petitRADTRANS.h5</strong>[370.98 MB]<br>petitRADTRANS k-tables at R= 1000 (0.3-50mu) in HDF5 format: POPS (31P)(32S) line list.</p> <p><strong>31P-32S__POPS.R1000_0.3-50mu.ktable.NEMESIS.kta</strong>[232.01 MB]<br>NEMESIS k-tables at R= 1000 (0.3-50mu) in NEMESIS-kta format: POPS (31P)(32S) line list.</p> <p><strong>31P-32S__POPS.R15000_0.3-50mu.xsec.TauREx.h5</strong>[348.39 MB]<br>TauREx k-tables at R= 15000 (0.3-50mu) in HDF5 format: POPS (31P)(32S) line list.</p> <p><strong>References:</strong><br> 1. Prajapat, L., Jagoda, P., Lodi, L. Gorman, Maire N., Yurchenko, S. N., Tennyson, J., "ExoMol molecular line lists - XXIII. Spectra of PO and PS", Monthly Notices of the Royal Astronomical Society 472, 3648-3658 (2017). <a href="[https://doi.org/10.1093/mnras/stx2229]">[https://doi.org/10.1093/mnras/stx2229]</a>[17PrJaLo.Po]<br> 2. Chubb, K. L., Rocchetto, M., Yurchenko, S. N., Min, M., Waldmann, I., Barstow, J. K., Molliere, P., Al-Refaie, A. F, Phillips, M. W., Tennyson, J., "The ExoMolOP database: Cross sections and k-tables for molecules of interest in high-temperature exoplanet atmospheres", Astronomy and Astrophysics 646, A21 (2020). <a href="[http://dx.doi.org/10.1051/0004-6361/202038350]">[http://dx.doi.org/10.1051/0004-6361/202038350]</a>[20ChRoYu.]<br></p> </blockquote>

opencc-by-4.0Sep 2017View details →
zenodo48/100

pop-cosmos: Galaxy property and redshift catalog for COSMOS2020

<p>This record (v&ge;2.0.0) contains data products associated with the paper "<em>pop-cosmos: Insights from generative modeling of a deep, infrared-selected galaxy population</em>" by Thorp et al. (2025). Earlier versions of this record (v&lt;2.0.0) contain data products associated with the paper "<em>pop-cosmos: Scaleable inference of galaxy properties and redshifts with a data-driven population model</em>" by Thorp et al. (2024), which are superseded by the contents of v2.0.0. In v&ge;2.0.0, we include results for all COSMOS2020 galaxies with $\textit{Ch.1}&lt;26$ or $r&lt;25$.</p> <p>The included products are derived from spectral energy distribution (SED) fits to 26-band COSMOS2020 photometry, using the 16-parameter SPS model described in Thorp et al. (2024, 2025), and the <code>pop-cosmos</code> prior from Thorp et al. (2025). All results are based on Markov Chain Monte Carlo (MCMC) runs using the configuration described in Thorp et al. (2024, 2025). Results correspond to v2.1 of the COSMOS2020 catalog.</p> <p>The current release includes the following files:</p> <ul> <li><strong>README_v2_2_0.txt</strong>: Detailed information about how to read the other files in the record.</li> <li><strong>mcmc_summaries.h5.gz</strong>: Zipped HDF5 file with summaries (percentiles) of the posteriors.</li> <li><strong>mcmc_samples_pop_cosmos.h5.gz</strong>: Zipped HDF5 file with posterior samples (using <code>pop-cosmos</code> prior).</li> <li><strong>mcmc_samples_Prospector.h5.gz</strong>: Zipped HDF5 file with posterior samples (using <code>Prospector</code>-$\alpha$ prior).</li> </ul> <p>If you make use of any of these products, please cite this repository and Thorp et al. (2024, 2025). Please also cite the <code>pop-cosmos</code> overview paper by Alsing et al. (2024), and the paper by Deger et al. (2025). If you make use of any COSMOS data products, please cite Weaver et al. (2022) and any other relevant publications. If you make use of COSMOS spectroscopic data, please cite Khostovan et al. (2025) and references therein.</p> <p>If you spot any issues or have any requests, please contact the corresponding author (Stephen Thorp) using the details in the README.</p> <p>If you want to access <code>pop-cosmos</code> mock galaxy catalogs, these can be found on <a href="https://doi.org/10.5281/zenodo.15622324">Zenodo</a>.</p> <p>Related software, including a demo notebook for working with the data in this record, can be found on <a href="https://github.com/Cosmo-Pop/pop-cosmos">GitHub</a>.&nbsp;</p> <p>References:</p> <ol> <li>Alsing et al. (2024). ApJS 274, 12. [<a href="https://arxiv.org/abs/2402.00935">arXiv:2402.00935</a>][<a href="https://doi.org/10.3847/1538-4365/ad5c69">doi</a>]</li> <li>Deger et al. (2025). MNRAS, submitted. [<a href="https://arxiv.org/abs/2509.20430">arXiv:2509.20430</a>]</li> <li>Khostovan et al. (2025). ApJ, submitted. [<a href="https://arxiv.org/abs/2503.00120">arXiv:2503.00120</a>]</li> <li>Thorp et al. (2024). ApJ 975, 145. [<a href="https://arxiv.org/abs/2406.19437">arXiv:2406.19437</a>][<a href="https://doi.org/10.3847/1538-4357/ad7736">doi</a>]</li> <li>Thorp et al. (2025). ApJ, accepted. [<a href="https://arxiv.org/abs/2506.12122">arXiv:2506.12122</a>]</li> <li>Weaver et al. (2022). ApJS 258, 11. [<a href="https://arxiv.org/abs/2110.13923">arXiv:2110.13923</a>][<a href="https://doi.org/10.3847/1538-4365/ac3078">doi</a>]</li> </ol>

opencc-by-4.0Sep 2024View details →
zenodo44/100

BATAL POPS flight (July 2019)

<p>The Printed Optical Particle Spectrometer (POPS) was operated during the BATAL (Balloon Measurements of the Asian Tropopause Aerosol Layer) campaign in 2019 in Hyderabad (17N,78E), India. The primary goal of this campaign is the investigation of the ATAL (Asian Tropopause Aerosol Layer). Here, we use POPS observations from one balloon flight on July 17th 2019 (UT time). The instrument weighs around 800g and uses a 405 mm diode laser. POPS delivers aerosol number concentration and size distribution measurements. Here the file corresponds to concentrations in each size class between 0.15 and ~3 &micro;m.<br> &nbsp;</p>

opencc-by-4.0Apr 2020View details →
zenodo44/100

Object-based audio scene files for variations of the spatial arrangement in pop mixes for Wave Field Synthesis

<p>This entry contains object-based audio meta-data to generate the mixes published at&nbsp;http://dx.doi.org/10.5281/zenodo.61000.</p> <p>Have a look at README.md for further details.</p>

opencc-by-4.0Aug 2016View details →
zenodo44/100

Pop III Star Lyman Band Spectra

<pre>This dataset contains the Lyman band stellar spectra of individual Pop III stars computed and utilized in the paper <br>"Impact of the Primordial Stellar Initial Mass Function on the 21-cm Signal". In addition, we provide the photon number <br>emissivity per stellar baryon for each of our four fiducial IMFs (shown in Figure 6 of the paper). Please consult the <br>README.md for further details about the dataset contents, calculation, and how it is structured.<br> </pre>

opencc-by-4.0Feb 2022View details →
zenodo44/100

Pop-up satellite archival tagging data of Atlantic bluefin tuna in the Gulf of Lions, Northwestern Mediterranean Sea

<p>24 Atlantic bluefin tuna (Thunnus thynnus) individuals (117&ndash;158 cm fork length) were tagged with pop-up archival tags in the Gulf of Lion, NW-Mediterranean Sea between 2015 and 2016.</p> <p><strong>Tag programming and data</strong></p> <p>The tags applied (miniPATs by Wildlife Computers, https://wildlifecomputers.com) can record depth and temperature time series (denoted hereafter as DepthTS and TempTS, respectively) at a temporal resolution of 3&ndash;5 s (depending on the predefined deployment duration) and a vertical resolution of 0.5 m. Based on these data, the tag calculates and stores additional data products such as PAT-style Depth&ndash;Temperature profiles (PDT), time at depth data, and time at temperature. After pop-up, the tags transmit user-defined data products and subsets from the recorded data sets. All our tags were configured to transmit the following data products: daily light curves, DepthTS, and PDT. In order to maximize data coverage of the transmitted datasets, we decreased the temporal resolution of the DepthTS and PDT data after the first tagging campaign in 2015 from 150 to 600 s and 6 to 24 h, respectively. For both years, deployment durations were set to 150 and 90 d during spring (April&ndash;May) and summer (August&ndash;September), respectively. A description of the electronic tagging procedure can be found in <a href="https://doi.org/10.1093/icesjms/fsaa083">Bauer et al. (2020)</a>.</p> <p>Seven tags were physically recovered, providing the complete archived time series data at a resolution of 3&ndash;5 s. Nineteen tags provided more than 7 d of complete DepthTS data (i.e. without transmission gaps). Three tags from 2016 had deployment durations of &lt;1 week (#15P0983, #15P0985, and #15P0986) because of hardware failure.</p> <p>Provided files contain raw tag data (transmitted and recovered datasets) from the Wildlife Computers Data Portal as well as related GPE3 model runs (geolocation estimates).</p> <p>We thank the crews of the Cyngali and Roussillon Fishing recreational fishing vessels for their cooperation during the tagging cruises. This tagging study was part of the BLUEMED project and funded by the French National Research Agency (ANR; Project-ID ANR-14-ACHN-0002).</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2022View details →
zenodo44/100

Molecular dynamics simulation trajectory of an anionic lipid bilayer: 100 mol% POPS with Na+ counterions using Joung-Cheatham Ions

<p><strong>System:</strong> Symmetric bilayer of anionic POPS (palmitoyl-oleoyl-phosphatidylserine 100 mol-%) lipids with sodium (Na<sup>+</sup>) counter ions.</p> <p><strong>Number of POPS:</strong> 128.<br> <strong>Number of Na<sup>+</sup>-ions:</strong> 128.<br> <strong>Number of waters:</strong> 4480.</p> <p><strong>Lipid model:</strong> Amber Lipid 17 [IR Gould, AA Skjevik, CJ Dickson, BD Madej, RC Walker: &quot;Lipid17: A Comprehensive AMBER Force Field for the Simulation of Zwitterionic and Anionic Lipids&quot; in prep. (2018)].</p> <p><strong>Ion model:</strong> Joung&ndash;Cheatham [IS Joung, TE Cheatham III <em>J. Phys. Chem. B</em> <strong>112</strong> 9020 (2008)].</p> <p><strong>Water model:</strong> TIP3P [WL Jorgensen, J Chandrasekhar, JD Madura, RW Impey, ML Klein <em>J. Chem. Phys.</em> <strong>79</strong> 926 (1983)].</p> <p><strong>Simulation engine:</strong> Amber16 [DA Case et al. <em>AMBER 2017</em> UCSF (2017)].</p> <p><strong>Number of independent repeats per setup:</strong> 2.<br> <strong>Trajectory lengths per repeat:</strong> 400 ns + 100 ns.<br> <strong>Previously equilibrated for:</strong> 100 ns.<br> <strong>Sampling rate:</strong> every 10 ps.</p> <p><strong>Time integration step:</strong> 2 fs.</p> <p><strong>Thermodynamic ensemble:</strong> NpT.&nbsp;<br> <strong>Temperature coupling:</strong> &#39;Langevin&#39; at T = 298 K.<br> <strong>Pressure coupling:</strong> &#39;Berendsen&#39; [<em>J. Chem. Phys.</em> <strong>81</strong> 3684 (1984); <em>J. Chem. Phys</em>. <strong>103</strong> 10252 (1995)] with <em>xy</em> and <em>z</em> coupled separately at p = 1.0 bar with no surface tension.</p> <p><strong>Electrostatics:</strong> PME [<em>J. Chem. Phys.</em> <strong>98</strong> 10089 (1993); <em>J. Chem. Theory Comput. </em><strong>9</strong>&nbsp;3878 (2013)].<br> <strong>Van der Waals:</strong> Turned off between 1.0 nm and 1.5 nm.</p> <p><strong>Constraints:</strong> Lengths of covalent bonds involving Hydrogens in lipids using SHAKE [<em>J. Comput. Phys.</em> <strong>23</strong> 327 (1977)], in water using SETTLE [<em>J. Comput. Chem.</em> <strong>13</strong> 952 (1992)].</p> <p><strong>Used in publications:</strong> OHS Ollila et al. &quot;NMRlipids IV: Headgroup &amp; glycerol backbone structures, and cation binding in bilayers with PS lipids&quot; in prep (2018).</p>

opencc-by-4.0Jan 2018View details →
zenodo44/100

Molecular dynamics simulation trajectory of an anionic lipid bilayer: 100 mol% POPS with Na+ counterions using ff99 ions

<p><strong>System:&nbsp;</strong>Symmetric bilayer of anionic POPS&nbsp;(palmitoyl-oleoyl-phosphatidylserine 100&nbsp;mol-%) lipids with sodium&nbsp;(Na<sup>+</sup>)&nbsp;counter ions.</p> <p><strong>Number of POPS:</strong>&nbsp;128.<br> <strong>Number of Na<sup>+</sup>-ions:</strong>&nbsp;128.<br> <strong>Number of waters:</strong>&nbsp;4480.</p> <p><strong>Lipid model:</strong>&nbsp;Amber Lipid 17 [IR&nbsp;Gould, AA Skjevik, CJ Dickson, BD Madej, RC&nbsp;Walker:&nbsp;&quot;Lipid17: A Comprehensive AMBER Force Field for the Simulation of Zwitterionic and Anionic Lipids&quot;&nbsp;in prep.&nbsp;(2018)].</p> <p><strong>Ion model:</strong>&nbsp;Amber ff99 [J&nbsp;&Aring;qvist&nbsp;<em>J. Phys. Chem.</em>&nbsp;<strong>94</strong> 8021 (1990)].</p> <p><strong>Water model:</strong>&nbsp;TIP3P&nbsp;[WL&nbsp;Jorgensen,&nbsp;J Chandrasekhar, JD&nbsp;Madura, RW&nbsp;Impey, ML&nbsp;Klein&nbsp;<em>J. Chem. Phys.</em>&nbsp;<strong>79</strong>&nbsp;926 (1983)].</p> <p><strong>Simulation engine:</strong>&nbsp;Amber16 [DA&nbsp;Case et al.&nbsp;<em>AMBER 2017</em>&nbsp;UCSF&nbsp;(2017)].</p> <p><strong>Number of independent repeats per setup:&nbsp;</strong>2.<br> <strong>Trajectory lengths per repeat:</strong>&nbsp;400 ns + 100&nbsp;ns.<br> <strong>Previously equilibrated for:</strong>&nbsp;100&nbsp;ns.<br> <strong>Sampling rate:</strong>&nbsp;every 10 ps.</p> <p><strong>Time integration step:</strong>&nbsp;2 fs.</p> <p><strong>Thermodynamic ensemble:</strong>&nbsp;NpT.&nbsp;<br> <strong>Temperature coupling:</strong>&nbsp;&#39;Langevin&#39;&nbsp;at T = 298&nbsp;K.<br> <strong>Pressure coupling: &#39;</strong>Berendsen&#39; [<em>J. Chem. Phys.</em>&nbsp;<strong>81</strong>&nbsp;3684 (1984); <em>J. Chem. Phys.</em>&nbsp;<strong>103</strong>&nbsp;10252 (1995)] with xy and z coupled separately at p = 1.0 bar with no&nbsp;surface tension.</p> <p><strong>Electrostatics:&nbsp;</strong>PME [<em>J. Chem. Phys.</em>&nbsp;<strong>98</strong>&nbsp;10089 (1993);<em>&nbsp;J. Chem. Theory Comput.</em>&nbsp;<strong>9</strong>&nbsp;3878 (2013)].<br> <strong>Van der Waals:</strong>&nbsp;Turned off between&nbsp;1.0 nm and 1.5 nm.</p> <p><strong>Constraints: </strong>Lengths&nbsp;of covalent&nbsp;bonds involving Hydrogens&nbsp;in lipids using SHAKE&nbsp;[<em>J. Comput. Phys.</em>&nbsp;<strong>23</strong>&nbsp;327 (1977)], in water using SETTLE [<em>J. Comput. Chem.&nbsp;</em><strong>13</strong>&nbsp;952 (1992)].</p> <p><strong>Used in publications:&nbsp;</strong>OHS&nbsp;Ollila et al. &quot;NMRlipids IV: Headgroup &amp; glycerol backbone structures, and cation binding in bilayers with PS lipids&quot; in prep (2018).</p>

opencc-by-4.0Jan 2018View details →
zenodo44/100

WaivOps POP-ROK: Open Audio Resources for Machine Learning in Music

<div> <p><strong>POP-ROK Dataset</strong></p> <p>POP-ROK is an open audio dataset featuring an uncurated collection of synthetic drum recordings in the style of pop rock music. It includes 5,378 audio loops recorded in uncompressed stereo WAV format, along with paired JSON files intended for the supervised training of generative AI audio models.</p> <p><strong>Overview</strong></p> <p>The POP-ROK Dataset was developed by sonifying a collection of approximately 30 acoustic drum kits with a paired MIDI dataset covering basic rhythm patterns, excluding toms. Data augmentation included a random drum-swapping method to generate unique drum kits and reverb simulations to represent various room sizes. This dataset is intended for training or fine-tuning AI models in rhythm notation with paired drum note labels, aiming to replicate the sound of live drumming.</p> <p>The primary purpose of this dataset is to provide accessible content for machine learning applications in music and audio. Potential use cases include generative music, feature extraction, tempo detection, audio classification, rhythm analysis, drum synthesis, music information retrieval (MIR), sound design and signal processing.</p> <p><strong>Specifications</strong></p> <ul> <li>5,378 audio loops (approximately 24 hours)</li> <li>16-bit WAV format</li> <li>Tempo range: 100-130 BPM</li> <li>Paired label data (WAV + JSON)</li> <li>Variational drum patterns</li> <li>Subgenre styles (Pop, classic rock, soft rock, country)</li> </ul> <p>A JSON file is provided for referencing and converting MIDI note numbers to text labels. You can update the text labels to suit your preferences.</p> <p><strong>License</strong></p> <p>This dataset was compiled by WaivOps, a crowdsourced music project managed by the sound label company Patchbanks. All recordings have been compiled by verified sources for copyright clearance.</p> <p>The POP-ROK dataset is licensed under Creative Commons Attribution 4.0 International <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">(CC BY 4.0)</a>.</p> <p><strong>Additional Info</strong></p> <p>For audio examples or more information about this dataset, please refer to the <a href="https://github.com/patchbanks/WaivOps-POP-ROK" target="_blank" rel="noopener">GitHub repository</a>.</p> </div>

opencc-by-4.0Nov 2024View details →
zenodo44/100

POPs samples analysis in coastal permafrost soils at Komakuk Beach (Yukon, CA)

<p>The concentration of HCB, 54 congeners PCBs and 22 individual PAHs in 89 active layer and permafrost core samples from Komakuk Beach have been determined by using Accelerated Solvent Extraction (Thermo Scientific Dionex ASE 350) and Gas Chromatography - Triple Quadrupole Mass Spectrometry (Trace 1310 GC coupled with TSQ9000 TQMS, Thermo Scientific) at CNR-ISP Venice, Italy.</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

Variations of pop mixes for Wave Field Synthesis

<p>This data set contains the stimuli for a paired comparison preference listening<br /> test. In those tests always one reference mix for two-channel stereophony (Stereo)<br /> and Wave Field Synthesis (WFS) was included. In addition, 3-4 variations of the<br /> WFS mix were added. Those variations where always along one of the mixing<br /> parameters compression, equalizing, positioning, or reverb.<br /> &nbsp;</p> <p>See the file README.md for a detailed description.</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

Listening preferences for variations of pop mixes in Wave Field Synthesis

<p>This data set includes results for the listening tests described in<br> http://doi.org/10.5281/zenodo.61000.</p> <p>See the file README.md for more details.</p>

opencc-by-4.0Oct 2016View details →
zenodo40/100

Characterization of legacy persistent organic pollutants (POPs) in northern bottlenose whales of the Western North-Atlantic

<p>Dataset associated with the Canadian Technical Report of Fisheries and Aquatic Sciences entitled &quot;Characterization of legacy persistent organic pollutants (POPs) in northern bottlenose whales of the Western North-Atlantic&quot;. Presents lipid weight corrected persistent organic pollutant concentrations (microgram per gram) in the blubber of northern bottlenose whales samples in the western North Atlantic.&nbsp;&nbsp;</p>

opencc-by-4.0Jan 2021View details →
dryad40/100

Data from: Pop‐off data storage tags reveal niche partitioning between native and non‐native predators in a novel ecosystem

1. Niche partitioning might be predicted to be particularly dynamic in 'novel ecosystems' characterized by human-altered environmental conditions and biological invasions. Restoration efforts for native species in such systems can be informed by detailed characterization of niche partitioning. 2. In Lake Ontario, fishery management agencies have been engaged in a long-term struggle to restore native top predators including lake trout (Salvelinus namaycush). Meanwhile, management agencies continue to stock non-native species like Chinook salmon (Oncorhynchus tshawytscha) into the lake to support a recreational fishery and to help control the abundance of a non-native forage fish, the alewife (Alosa pseudoharengus). 3. We used pop-off data storage tags to study fine scale (9.1M lines of data from 22 animals) behaviour and habitat use by lake trout (native) and Chinook salmon (non-native) in Lake Ontario in terms of depth and temperature, recorded at ≤70 s intervals for periods of up to 12 months. 4. Chinook salmon occupied warmer and shallower waters during summer than did lake trout, and their niche breadth was wider. They achieved greater niche breadth in part because they were much more active vertically, cumulatively traveling 103±1 m hour-1 during summer (model-estimated median), whereas most lake trout were relatively inactive vertically (7±1 m hour-1). In each of our analyses, there was more inter-individual variation among lake trout than among Chinook salmon, driven by some lake trout that spent considerable time making forays into warmer, shallower waters. 5. Synthesis and applications. Our results illustrate the different foraging tactics used by two species in the Great Lakes and reflect their distinct life histories. Vertical and thermal niche partitioning between Chinook salmon and lake trout helps to explain how these species can co-exist in a multi-species fishery even while having substantial overlap in diet. The diversity of behaviours exhibited here by native lake trout have likely helped them persist during dramatic changes to the forage base in recent decades; that flexibility could help underlie their long-term prospects for restoration during future changes to the ecosystem.

opencc-zeroNov 2019View details →
zenodo40/100

Text-fig. 9. Paramblypterus cf. rohani. Scale bars 5 mm. a, b: drawing and photograph of the skull in lateral view, locality Otovice "Stěnava", DP 4529; c, d: photograph and drawing of the skull in lateral view, locality Otovice "Chmelnice", P 64673; e: bones of the skull roof in dorsal view, locality Otovice "Chmelnice", P 64656; f: bones of the skull roof in dorsal view, locality Otovice "Chmelnice", P 30945; g, h: drawing and photograph (whitened) of the bones of the skull roof in dorsal view, locality Otovice "Chmelnice", P 64658. Abbreviations: ap – anterior pit line, Cl – cleithrum, Cor – coronoid, Dhy – dermohyal, Dpt – dermopterotic, Dsph – dermosphenotic, Extl – extrascapular lateral, Extm – extrascapular medial, Fr – frontal, Gul – lateral gular, Gum – medial gular, ioc – infraorbital canal, Ios – infraorbital superior, Ju – jugal, mc – mandibular canal, Md – mandible, Mx – maxila, mp – medial pit line, Na – nasal, Op – operculum, Pa – parietal, Pop – preoperculum, pp – posterior pit line, Psp – postspiracular, Pt – posttemporal, Ptr – postrostral, Qu – quadratum, Rbr – branchiostegaly rays, Sbo – suborbital, soc – supraorbital canal, Sop – suboperculum, Spi – spiracular. in Actinopterygians Of The Broumov Formation (Permian) In The Czech Part Of The Intra-Sudetic Basin (The Czech Republic)

Text-fig. 9. Paramblypterus cf. rohani. Scale bars 5 mm. a, b: drawing and photograph of the skull in lateral view, locality Otovice "Stěnava", DP 4529; c, d: photograph and drawing of the skull in lateral view, locality Otovice "Chmelnice", P 64673; e: bones of the skull roof in dorsal view, locality Otovice "Chmelnice", P 64656; f: bones of the skull roof in dorsal view, locality Otovice "Chmelnice", P 30945; g, h: drawing and photograph (whitened) of the bones of the skull roof in dorsal view, locality Otovice "Chmelnice", P 64658. Abbreviations: ap – anterior pit line, Cl – cleithrum, Cor – coronoid, Dhy – dermohyal, Dpt – dermopterotic, Dsph – dermosphenotic, Extl – extrascapular lateral, Extm – extrascapular medial, Fr – frontal, Gul – lateral gular, Gum – medial gular, ioc – infraorbital canal, Ios – infraorbital superior, Ju – jugal, mc – mandibular canal, Md – mandible, Mx – maxila, mp – medial pit line, Na – nasal, Op – operculum, Pa – parietal, Pop – preoperculum, pp – posterior pit line, Psp – postspiracular, Pt – posttemporal, Ptr – postrostral, Qu – quadratum, Rbr – branchiostegaly rays, Sbo – suborbital, soc – supraorbital canal, Sop – suboperculum, Spi – spiracular.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Text-fig. 4. Paramblypterus vratislaviensis (AGASSIZ, 1833). Locality Olivětín. Scale bars 5 mm. a, b: photograph and drawing of the skull. Photograph immersed in ethyl alcohol, NM-M 2461; c, d: photograph and drawing of the skull. Photograph immersed in ethyl alcohol, NM-M 900. Abbreviations: Dhy – dermohyal, Dpt – dermopterotic, Dsph – dermosphenotic, Ext – extrascapular, Fr – frontal, Ios – infraorbital superior, Ju – jugal, La – lacrymal, Md – mandible, Mx – maxilla, Na – nasal, Na+So – nasal coalesces with the supraorbital anterior, Op – operculum, Otol – otolith, Pa – parietal, Pop – preoperculum, Pt – posttemporal, Ptr – postrostral, Scl – supracleithrum, soc – supraorbital canal, sr – sclerotic ring. in Actinopterygians Of The Broumov Formation (Permian) In The Czech Part Of The Intra-Sudetic Basin (The Czech Republic)

Text-fig. 4. Paramblypterus vratislaviensis (AGASSIZ, 1833). Locality Olivětín. Scale bars 5 mm. a, b: photograph and drawing of the skull. Photograph immersed in ethyl alcohol, NM-M 2461; c, d: photograph and drawing of the skull. Photograph immersed in ethyl alcohol, NM-M 900. Abbreviations: Dhy – dermohyal, Dpt – dermopterotic, Dsph – dermosphenotic, Ext – extrascapular, Fr – frontal, Ios – infraorbital superior, Ju – jugal, La – lacrymal, Md – mandible, Mx – maxilla, Na – nasal, Na+So – nasal coalesces with the supraorbital anterior, Op – operculum, Otol – otolith, Pa – parietal, Pop – preoperculum, Pt – posttemporal, Ptr – postrostral, Scl – supracleithrum, soc – supraorbital canal, sr – sclerotic ring.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Text-fig. 6. Paramblypterus vratislaviensis (AGASSIZ, 1833). a: restoration of the body in lateral view, scale bar 10 mm; b: restoration of the skull in lateral view (bones that are not clearly retained on the skull are marked with dashed lines), scale bar 10 mm; c: restoration of the skull in dorsal view, scale bar 10 mm. Abbreviations: Cl – cleithrum, Dhy – dermohyal, Dpt – dermopterotic, Dsph – dermosphenotic, Ext – extrascapular, Fr – frontal, Gul – lateral gular, Ios – infraorbital superior, Ju – jugal, La – lacrymal, Md – mandible, Mx – maxilla, Na – nasal, Op – operculum, Orb – orbit, Pa – parietal, Pmx – premaxilla, Pop – preoperculum, Pt – posttemporal, Ptr – postrostral, Rbr- branchiostegal rays, Scl – supracleithrum, Soant – supraorbital anterior, Sop – suboperculum, Spi – spiracular, sr – sclerotic ring. in Actinopterygians Of The Broumov Formation (Permian) In The Czech Part Of The Intra-Sudetic Basin (The Czech Republic)

Text-fig. 6. Paramblypterus vratislaviensis (AGASSIZ, 1833). a: restoration of the body in lateral view, scale bar 10 mm; b: restoration of the skull in lateral view (bones that are not clearly retained on the skull are marked with dashed lines), scale bar 10 mm; c: restoration of the skull in dorsal view, scale bar 10 mm. Abbreviations: Cl – cleithrum, Dhy – dermohyal, Dpt – dermopterotic, Dsph – dermosphenotic, Ext – extrascapular, Fr – frontal, Gul – lateral gular, Ios – infraorbital superior, Ju – jugal, La – lacrymal, Md – mandible, Mx – maxilla, Na – nasal, Op – operculum, Orb – orbit, Pa – parietal, Pmx – premaxilla, Pop – preoperculum, Pt – posttemporal, Ptr – postrostral, Rbr- branchiostegal rays, Scl – supracleithrum, Soant – supraorbital anterior, Sop – suboperculum, Spi – spiracular, sr – sclerotic ring.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Text-fig. 9. Progyrolepis heyleri POPLIN, 1999. a: right dentalosplenial of adult specimen in lateral view, GMC 1, scale bar 5 mm; b: left dentalospelenial and suboperculum in medial view, GMC 1, scale bar 5 mm; c: set of bones of the right side of the cheek displaying maxilla, preoperculum, hyomandibula, left and right ceratohyal, epibranchial and neural spine from the axial skeleton, G 123, scale bar 5 mm; d: drawing of the right frontal in dorsal view, GMC 81, scale bar 5 mm; e: right operculum in lateral view, GMC 10, scale bar 5 mm. Abbreviations: Cbr – ceratobranchial, Cer – ceratohyal, Ds – dorsal spine, Hy – hyomandibula, Md – mandible, Mx – maxilla, Op – operculum, Pop – preoperculum. in New Actinopterygians From The Permian Of The Brive Basin, And The Ichthyofaunas Of The French Massif Central

Text-fig. 9. Progyrolepis heyleri POPLIN, 1999. a: right dentalosplenial of adult specimen in lateral view, GMC 1, scale bar 5 mm; b: left dentalospelenial and suboperculum in medial view, GMC 1, scale bar 5 mm; c: set of bones of the right side of the cheek displaying maxilla, preoperculum, hyomandibula, left and right ceratohyal, epibranchial and neural spine from the axial skeleton, G 123, scale bar 5 mm; d: drawing of the right frontal in dorsal view, GMC 81, scale bar 5 mm; e: right operculum in lateral view, GMC 10, scale bar 5 mm. Abbreviations: Cbr – ceratobranchial, Cer – ceratohyal, Ds – dorsal spine, Hy – hyomandibula, Md – mandible, Mx – maxilla, Op – operculum, Pop – preoperculum.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Text-fig. 2. Briveichthys chantepieorum gen. et sp. nov. a, b: whitened photograph and drawing of the skull, GMC 15, scale bars 5 mm; c: anterior part of the left and right frontal in dorsal view, a conspicuous concave anterior edge of the bones is demonstrated, GMC 18, whitened, scale bar 5 mm. Abbreviations: Clei – cleithrum, De – dentalosplenial, Dpt – dermopterotic, Dsph – dermosphenotic, Ext? – extrascapular?, Fr – frontal, Gul – lateral gular, Hy – hyomandibula, Mx – maxilla, Na – nasal, Pa – parietal, Pop – preoperculum, ppl – parietal pit lines, Pt – posttemporal, Rbr – branchiostegal rays, Scl – supracleithrum, soc – supraorbital canal, Sop – suboperculum, sr – sclerotic ring. in New Actinopterygians From The Permian Of The Brive Basin, And The Ichthyofaunas Of The French Massif Central

Text-fig. 2. Briveichthys chantepieorum gen. et sp. nov. a, b: whitened photograph and drawing of the skull, GMC 15, scale bars 5 mm; c: anterior part of the left and right frontal in dorsal view, a conspicuous concave anterior edge of the bones is demonstrated, GMC 18, whitened, scale bar 5 mm. Abbreviations: Clei – cleithrum, De – dentalosplenial, Dpt – dermopterotic, Dsph – dermosphenotic, Ext? – extrascapular?, Fr – frontal, Gul – lateral gular, Hy – hyomandibula, Mx – maxilla, Na – nasal, Pa – parietal, Pop – preoperculum, ppl – parietal pit lines, Pt – posttemporal, Rbr – branchiostegal rays, Scl – supracleithrum, soc – supraorbital canal, Sop – suboperculum, sr – sclerotic ring.

opencc-by-4.0Dec 2021View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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