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951 results for “Data release”
Data associated with the FLooded Upland Dynamics EXperiment (FLUDEX), conducted at the IISD Experimental Lakes Area 1997 to 2003, investigating reservoir flooding impacts on ecosystems, particularly the release of mercury and greenhouse gases.
The data included in this repository were collected over the course of the FLooded Upland Dynamics Experiment (FLUDEX) conducted at the IISD Experimental Lakes Area (IISD-ELA) from 1997 to 2003. A plethora of data was collected over five years of flooding three upland reservoir sites, in order to examine the relationship between the amount of flooded, and thus decomposed, terrestrial organic matter and the production of methylmercury (MeHg), total mercury (THg), and greenhouse gases (GHGs) in the reservoirs. Findings from this experiment suggest that the amount of organic carbon stored in a flooded site does not directly influence the amount of THg, MeHg, and GHGs produced, but it does affect the persistence of mercury in the reservoir and food web. This version of the repository contains data collected on water chemistry, benthic invertebrate (chironomid) emergence, mercury and methylmercury concentrations in the water and food web, stable isotopes of carbon and nitrogen in emerging insects and zooplankton, and abundance and biomass of zooplankton, phytoplankton, and bacteria. This data package contains only some of the data from the FLUDEX project. IISD-ELA hopes to add more data in subsequent versions.
Three-dimensional super-Yang--Mills theory on the lattice and dual black branes --- data release
<p>This HDF5 file collects data and analysis results for non-perturbative lattice field theory calculations investigating three-dimensional maximally supersymmetric SU(N) Yang--Mills theory on a skewed euclidean torus, and its holographic connection to dual D2-brane solutions in supergravity. See the README for further information.</p>
Nonperturbative phase diagram of two-dimensional N=(2,2) super-Yang--Mills theory --- data release
<p>This HDF5 file collects data and analysis results for non-perturbative lattice field theory calculations investigating two-dimensional supersymmetric SU(N) Yang--Mills theory with four supercharges. See the README for further information.</p>
Non-perturbative phase structure of the bosonic BMN matrix model --- data release
<p>This HDF5 file collects data and analysis results for non-perturbative lattice calculations investigating the phase structure of the bosonic part of the Berenstein--Maldacena--Nastase matrix model. See the README for further information.</p>
Investigating the conformal behaviour of SU(2) with one adjoint Dirac flavor --- data release
<p>This dataset collects data and analysis results for non-perturbative lattice field theory calculations investigating the SU(2) gauge theory with one Dirac fermion in the adjoint representation. More detailed information is included in the file README_datapackage.md</p>
Dissolved Cr concentration and stable isotope data presented in "Release from biogenic particles, benthic fluxes, and deep water circulation control Cr and δ53Cr distributions in the ocean interior" (Janssen et al., 2021, EPSL).
<p>This dataset presents all of the dissolved Cr data included and discussed in “Release from biogenic particles, benthic fluxes, and deep water circulation control Cr and δ<sup>53</sup>Cr distributions in the ocean interior” (Janssen et al., 2021, EPSL). Three primary datasets are included:</p> <ol> <li>Dissolved [Cr], [Cr(III)] and d53Cr in samples from shipboard particle regeneration incubations conducted in the subantarctic Southern Ocean.</li> <li>Dissolved [Cr] in porewater samples from a sediment core collected in the Tasman Sea in primarily calcareous sediments, along with [Cr] and δ<sup>53</sup>Cr in overlying bottom waters.</li> <li>3. A compilation of intermediate and deep water dissolved [Cr] and δ<sup>53</sup>Cr from seawater samples from the Southern, Pacific and Atlantic Oceans</li> </ol>
Data release for paper "Towards the routine use of subdominant harmonics in gravitational-wave inference: re-analysis of GW190412 with generation X waveform models"
<p>This data release for the paper "Towards the routine use of subdominant harmonics in gravitational-wave inference: re-analysis of GW190412 with generation X waveform models" [<a href="https://arxiv.org/abs/2010.05830">arXiv:2010.2010.05830</a>] contains posterior samples for the GW190412 binary black hole merger event obtained from public GWOSC data with the parallel bilby Bayesian inference package, dynesty nested sampler and a set of waveforms from the "generation X" of phenomenological waveform models: IMRPhenomXAS, IMRPhenomXHM, IMRPhenomXP, IMRPhenomXPHM, IMRPhenomT and IMRPhenomTHM. The provided file is a "meta file" that can be read with the <a href="https://lscsoft.docs.ligo.org/pesummary/">PESummary</a> python package. The posterior samples included correspond to runs [2,6,10,12,14,26] in Table III of the paper (standard settings for each waveform, standar priors and sampler settings of Nlive=2048 and Nact=10 or 50). If you make use of these samples, please cite both this data release and the paper.</p>
Data and code release for Carleton, Cornetet, Huybers, Meng & Proctor (PNAS, 2020), "Global evidence for ultraviolet radiation decreasing COVID-19 growth rates"
<p>This upload contains all replication material for "Global evidence for ultraviolet radiation decreasing COVID-19 growth rates" (PNAS, 2020). Please note that previous versions of this upload provided data and code for the pre-print version of the article, which changed somewhat through the peer review process. </p> <p><strong>Authors:</strong> Tamma Carleton, Jules Cornetet, Peter Huybers, Kyle C. Meng, Jonathan Proctor.</p> <p><strong>Code is located within CCHMP_covid_climate_code_release.zip</strong>, and is written in R, Stata, and Matlab. The working directory should be set to the repository folder at the top of each script (all other filepaths are relative).</p> <p>Please find the code needed to replicate the main findings of the paper described below:</p> <ul> <li>Plots of data: R and Stata scripts to make figures 1B, 2A/B/C, S1, S2, and S3, can be found within “code/analysis/data_plots/”.</li> <li>Regression analysis: Stata scripts to run the distributed lag regressions and plot the results in figures 2, 3C, S5, S6, S7, S8, S10, and S14, as well as Table S1, can be found within “code/analysis/regressions/”. R scripts for data analysis and plotting for figures 3A/B and S9 are also within "code/analysis/regressions/".</li> <li>Seasonal simulations: R and Stata scripts to replicate the seasonal simulation shown in figures 4, S4 and S11 can be found within “code/analysis/seasonal_sim/”.</li> <li>SEIR simulations: Matlab scripts to replicate the SEIR simulations shown in figures S12 and S13 can be found within “code/analysis/SEIR/”.</li> </ul> <p><strong>Data are located within CCHMP_covid_climate_data_release.zip.</strong></p>
Data Associated with Chemical Cartography with APOGEE: Two-process Parameters and Residual Abundances for 288,789 Stars from Data Release 17
<p>Stellar abundance measurements are subject to systematic errors that induce extra scatter and artificial correlations in elemental abundance patterns. We derive empirical calibration offsets to remove systematic trends with surface gravity log(g) in 17 elemental abundances of 288,789 evolved stars from the SDSS APOGEE survey. We fit these corrected abundances as the sum of a prompt process tracing core-collapse supernovae and a delayed process tracing Type Ia supernovae, thus recasting each star's measurements into the amplitudes A_cc and A_Ia and the element-by-element residuals from this two-parameter fit. Here we present the log(g)-calibrated abundances, fit parameters, process amplitudes, and element-by-element abundance residuals of 288,789 stars (310,427 spectra) in APOGEE DR17 that accompany <a href="https://arxiv.org/abs/2403.08067" target="_blank" rel="noopener">the paper</a>.</p> <p>calibration_values_final.dat contains all derived calibration offsets, including the grids of log(g) calibration offsets and zero-point offsets for two-process model analysis. The first five rows of this catalog are reproduced in Table 2 of the paper.</p> <p>logg_calib_example.ipynb is a Jupyter notebook containing Python code to load calibration_values_final.dat, extract the log(g) calibration offsets for specific element, and apply calibration offsets to 10 sample stars.</p> <p>2process_residual_abund_catalog_final.fits is the catalog of 310,427 APOGEE DR17 spectra (288,789 unique stars) containing calibrated abundances, two-process fit parameters, and abundance residuals. A full listing of columns in this catalog is given in Table 5 of the paper.</p> <p>catalog_examples.ipynb is a Jupyter notebook containing Python code to load 2process_residual_abund_catalog_final.fits, cross match with other catalogs (using AstroNN and the APOGEE DR17 Globular Cluster Value-Added Catalog as examples), and make some example plots utilizing the cross-matched data.</p>
Topological Data Analysis of Monopoles in U(1) Lattice Gauge Theory — Data Release
<div>This release contains data used to prepare the publication <a href="https://arxiv.org/abs/2403.07739">X. Crean, J. Giansiracusa and B. Lucini, Topological Data Analysis of Monopoles in U(1) Lattice Gauge Theory (2024)</a>. There exists an <a href="https://doi.org/10.5281/zenodo.10806185">accompanying software release</a> that explains in detail how to extract and use the compressed data files on a Linux distribution (or compatible environment).</div>
Data: Weak Cation Selectivity in HCN Channels Results from K+-mediated release of Na+ from selectivity filter binding sites
<p>Complementary data for the paper: Weak Cation Selectivity in HCN Channels Results from K+-mediated release of Na+ from selectivity filter binding sites.</p>
Data and Workflow to: Three-dimensional buoyant hydraulic fracture growth: constant release from a point source (Möri and Lecampion, (2022))
<p>This upload contains the relevant scripts, notebooks, and datasets to reproduce the numerically obtained results of the Journal article "Three-dimensional buoyant hydraulic fracture growth: constant release from a point source" by Möri and Lecampion, (2022).</p>
Probing center vortices and deconfinement in SU(2) lattice gauge theory with persistent homology — data release
<p>This release contains all data used to prepare the publication <a href="https://arxiv.org/abs/2207.13392">Probing center vortices and deconfinement in SU(2) lattice gauge theory with persistent homology</a>.</p> <p>Included are:</p> <ul> <li>The raw log output from the simulations and computed persistence images for the analysis in Section IV.B of the <a href="https://arxiv.org/abs/2207.13392">paper</a> in 'raw_data.zip'.</li> <li>The values of the action and Polyakov loop from the above logs, along with the persistence images restructured into netCDF4 format for convenience, in the files 'Nt=*_Ns=*_pis_actions_polyakovs.nc'.</li> <li>The values of the observable m_2 (as defined in the <a href="https://arxiv.org/abs/2207.13392">paper</a>) for configurations for the twisted boundary conditions analysis in netCDF4 format in 'Nt=4_Ns=12_16_20_m2.nc'.</li> <li>The example persistence diagrams used in the <a href="https://arxiv.org/abs/2207.13392">paper</a> in netCDF4 format in 'Nt=4_Ns=12_example_pds.nc'.</li> </ul>
The population of merging compact binaries inferred using gravitational waves through GWTC-3 - Data release
<p>Data associated with Figures, Tables, and population parameter samples associated with <br><strong>The population of merging compact binaries inferred using gravitational waves through GWTC-3 , </strong><br><strong><a href="https://dcc.ligo.org/LIGO-P2100239/public">LIGO DCC</a>, <a href="https://arxiv.org/abs/2111.03634">arXiv</a>, <a href="https://journals.aps.org/prx/abstract/10.1103/PhysRevX.13.011048">PRX</a>. </strong><br>This is v3, superseding v2. Please see the README.md for more information.</p>
Matejcic et al. 2018 data release
<p>Dataset and scripts from study Matejčić et al. 2018. PLoS Biology, on isotropic growth of the embryonic zebrafish retinal tissue.</p>
Announcement: Milestones and the 4th Data Release of Project SWAP (SWAP DR4)
<h3>I am thrilled to announce four significant milestones for <strong>Project SWAP (Severe Weather Archive of the Philippines)</strong>:</h3> <ol> <li> <h3><strong>Manuscripts published in Asia-Pacific Journal of Atmospheric Sciences (APJAS):<br><br></strong>I'm excited to share that our recent research papers have been published in Springer Nature’s Asia-Pacific Journal of Atmospheric Sciences (APJAS)! These studies focus on hailstorm events in the Philippines, offering new insights into the dynamics and impacts of these intense weather phenomena. Please kindly see the following/respective DOI links. </h3> <h3>Ibañez, M.P.A., Manalo, J.A., Capuli, G.H., Olaguera, L.M.P. (2025). Spatiotemporal Analysis of Hail Events in the Philippines. Asia-Pac J Atmos Sci 61, 24. <a href="https://doi.org/10.1007/s13143-025-00409-4" target="_blank" rel="noopener">https://doi.org/10.1007/s13143-025-00409-4</a><br><br>Capuli, G.H. (2025). Friday the 13th Hailstorm in the Province of Bulacan, Philippines (13 August 2021): A Case Study. Asia-Pac J Atmos Sci 61, 13. <a href="https://doi.org/10.1007/s13143-025-00396-6" target="_blank" rel="noopener">https://doi.org/10.1007/s13143-025-00396-6</a><br><br>Meanwhile, our case study on the 27 May 2024 Tornadic Supercell in Pampanga Province is currently under peer review in Springer Nature’s Natural Hazards. I'm looking forward to sharing more about this severe weather event once the review process is complete. You may read this, as a preprint, through: <a href="https://doi.org/10.48550/arXiv.2504.20559" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2504.20559</a><br><strong><br></strong></h3> </li> <li> <h3><strong>Integration of Tornado and Waterspout data in the Tornado Archive (TA):<br><br></strong>I'm pleased to share that tornado and waterspout data from Project SWAP (particularly the SWAP DR3) have now been officially integrated into the Tornado Archive (TA; Maas et al. 2024) marking the first time that severe weather events from the Philippines have been globally imported and visualized through this platform.<br><br>You can visit the Blog/Update regarding the addition of the Philippine severe weather data to the TA platform through this <a href="https://tornadoarchive.com/home/2025/05/31/2024-u-s-tornado-data-is-live-and-v2-3-1/" target="_blank" rel="noopener">link</a>. Meanwhile, you can also visit the interactive visualization tool provided by TA through their <a href="https://tornadoarchive.com/home/tornado-archive-data-explorer/" target="_blank" rel="noopener">Data Explorer</a>.<br><br>Maas, M., Supinie, T., Berrington, A., Emmerson, S., Aidala, A., & Gavan, M. (2024). The Tornado Archive: Compiling and Visualizing a Worldwide, Digitized Tornado Database. Bulletin of the American Meteorological Society, 105(7), E1137-E1152. <a href="https://doi.org/10.1175/BAMS-D-23-0123.1" target="_blank" rel="noopener">https://doi.org/10.1175/BAMS-D-23-0123.1</a><br><strong><br></strong></h3> </li> <li> <h3><strong>2nd Part of Project SWAP:<br></strong></h3> <h3>I’m thrilled to share that the second part of our Project SWAP (Severe Weather Archive of the Philippines) is now available as a preprint! The article establishes the baseline climatology of severe weather events across Luzon, with a particular focus on the convective environments associated with hail-bearing severe storms. </h3> <h3>This provides a clearer picture of the atmospheric conditions that favor hail development in the Philippines. The manuscript is currently under peer review, but the preprint is now accessible for reading to anyone interested.</h3> <h3><a href="#h_63672142712561760428569038" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2510.09530</a><br><br></h3> </li> <li> <h3><strong>Towards the 4th Data Release of SWAP (SWAP DR4):<br><br></strong>As the 2025 severe weather season across the Philippine archipelago gradually winds down (based on insights from the Project SWAP Part 1 article), preparations are now underway for the fourth data release of the Severe Weather Archive of the Philippines (SWAP DR4) - slated for release in the first quarter of 2026 (next year). You may see the discussion of this update in the next Philippine Meteorological Society Annual Conference.<br><br>SWAP DR4 will highlight and document severe convective events observed throughout 2025, continuing our effort to build a comprehensive archive of hailstorms, tornadoes, and waterspouts across the country.<br><br>For the upcoming release, SWAP DR4 will include several significant updates and improvements:</h3> </li> </ol> <ul> <li> <h3>Expanded documentation, now approaching 1,500 recorded severe weather events across the Philippines.</h3> </li> <li> <h3>Enhanced geographic accuracy, with refined latitude–longitude coordinates for all entries.</h3> </li> <li> <h3>Increased reliability, as many events are now supported by multiple independent information sources. </h3> </li> <li> <h3>Improved metadata documentation, with additional “indicators” for accuracy and reliability included in the accompanying PDF files.</h3> </li> <li> <h3>Integration of proximity rawinsonde observations (RAOBs), in line with our previous commitment, SWAP DR4 will feature more (if not all) proximity soundings associated with each event, analyzed using SounderPy of <a href="https://doi.org/10.21105/joss.08087" target="_blank" rel="noopener">Gillett (2025)</a>. Apologies for the delay. </h3> </li> </ul> <h3>As indicated, this project can be important to uncovering the Philippine's thermodynamic and kinematic environment on various timescales, essentially creating a baseline climatology to further understand both convective processes and long term climate linkages. However, any analyses using this archive will require careful consideration of biases therein, many of which we have discussed in the journal article (as also described).</h3> <h3>Kindly see the attached table I created in this announcement for the versions of Project SWAP and other details. For now, <a href="https://doi.org/10.5281/zenodo.15035188" target="_blank" rel="noopener">SWAP DR3</a> will be good to use and is imported/carried to this announcement. If you have comments, kindly use the SWAP Contact Form below. </h3> <table> <tbody> <tr> <td> <h3>Indexing number of Versions</h3> </td> <td> <h3>Description</h3> </td> <td> <h3>w/ Zenodo DOI?</h3> </td> <td> <h3>Is it citable? </h3> </td> </tr> <tr> <td> <p>Version 1.0, 2.0, 3.0, and so on...</p> </td> <td> <p>Major Data Release/Major Update</p> </td> <td> <p>Yes</p> </td> <td> <p>Yes*</p> </td> </tr> <tr> <td> <p>Version 1.1, 1.2, 1.3, and so on...</p> </td> <td> <p>Incremental Update/Patch</p> </td> <td> <p>Yes</p> </td> <td> <p>Yes*</p> </td> </tr> <tr> <td> <p>Version x.x.1, x.x.2, x.x.3, and so on...</p> </td> <td> <p>Announcement</p> </td> <td> <p>Yes</p> </td> <td> <p>No</p> </td> </tr> <tr> <td> <h3>*Note: You can just cite all the versions for your ease. See the Additional Description. </h3> </td> </tr> </tbody> </table>
NMR and MS data of identified bromotyrosine alkaloids produced and released by Aplysina cavernicola
<p>This folder contains NMR and MS datasets of each identified bromotyrosine spiroisoxazoline pertaining to the publication<em> </em>entitled:</p> <p><strong>Diving into the molecular diversity of <em>Aplysina cavernicola’s </em>exo-metabolites: contribution of bromo-spiroisoxazoline alkaloids.</strong> <em>ACS Omega</em> 2022 <strong> <a href="https://pubs.acs.org/doi/10.1021/acsomega.2c05415"> </a></strong><a href="https://pubs.acs.org/doi/10.1021/acsomega.2c05415">https://doi.org/10.1021/acsomega.2c05415</a></p> <ul> <li>All NMR data were acquired in CD<sub>3</sub>OD at 600 MHz (Bruker Avance III, cryosonde TCI) using 2 mm NMR tubes</li> <li>All MS<sup>2</sup> data were acquired on a Bruker Impact II qTOF (ESI positive, collision energy 20-40eV)</li> </ul> <p>The compressed folder of the newly described Aplysine1 contains also raw data related to circular dichroism (CD) and infrared (IR) analyses, as well as quantum mechanical calculations of <sup>13</sup>C NMR shifts using GIAO NMR and DP4+ analyses.</p> <p>The Excel spreadsheet for DP4+ analyses were obtained from: Grimblat N et al. “Beyond DP4: An Improved Probability for the Stereochemical Assignment of Isomeric Compounds Using Quantum Chemical Calculations of NMR Shifts.” <em>The Journal of Organic Chemistry</em> 80, no. 24 (December 18, 2015): 12526–34. <a href="https://doi.org/10.1021/acs.joc.5b02396">https://doi.org/10.1021/acs.joc.5b02396</a>.</p> <p>All MS data are also made Freely available at the UCSD Center for Computational Mass Spectrometry database with the MassIVE identifier <a href="https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=4f6d3c00539a412a9c6d7fac0f7f2a81">MSV000089502</a> .</p> <p>NOTE: 3,5 dibromotyrosine was not identified neither in<em> Aplysina cavernicola </em>crude extract nor as exo-metabolites but was used for MS dereplication purposes.</p>
Data release for "Things that might Go bump in the night: Assessing structure in the binary black hole mass spectrum"
<p>Data release accompanying "Things that might go bump in the night: Assessing structure in the binary black hole mass spectrum"</p> <p>Included are:</p> <ul> <li>500 mock catalogs containing 69 events each, in netCDF4 format (can be found in `with_z_evo_lalprior_69_evs_prod_mock_PE.tar.gz`)</li> <li>A corresponding injection set using O3 sensitivity (`with_z_evo_lalprior_69_evs_prod_injections.h5`)</li> <li>Files containing hyperposterior samples resulting from a Power Law + Spline fit to 100 of the 69-event mock catalogs (`PowerLawSpline_69evs_20knots_2t100_*_result.json`)</li> <li>Files containing hyperposterior samples resulting from a smoothed power law fit to 100 of the 69-event mock catalogs (`Truncated_69evs_*_result.json`)</li> </ul> <p>Code using these files to create all plots in the paper can be found at https://git.ligo.org/amanda.farah/bump-significance</p> <p>Code used to create the mock catalogs can be found at https://git.ligo.org/amanda.farah/mock-PE</p>
Data release for "Rapid pre-merger localization of binary neutron stars in third generation gravitational wave detectors"
<p>We publish skymap files in fits format of the simulation in our work "Rapid pre-merger localization of binary neutron stars in third generation gravitational wave detectors". There are 68000 BNS events, and results of different negative latencies are zipped in different tar files. An example jupyter notebook for using the data is provided.</p> <p> </p> <p> </p>
Delta Smelt (Hypomesus transpacificus) biomarker and genetic data from supplemental release into the San Francisco Estuary, 2022
Delta Smelt (Hypomesus transpacificus) is an endangered fish that is endemic to the San Francisco Estuary. As a conservation strategy, hatchery-reared Delta Smelt have been released into the San Francisco Estuary to supplement the wild population. State and federal agencies surveyed the abundance of Delta Smelt, collected fish specimens, and recorded associated environmental data from sampling sites. Delta Smelt specimens were preserved and transported to the University of California, Davis where a variety of biomarkers were assessed on individual fish. This project, including the supplementation of hatchery-reared Delta Smelt and data collection, is ongoing.
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.