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956 results for “Transients”

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zenodo40/100

Transient Electromagnetic data from the Acoculco area in Mexico: raw data

<p>The dataset is composed of raw data from TerraTEM (from Monex GeoScope, single loop) from the Acoculco area, Mexico and their locations in a .csv file.</p> <p>The data were gathered under the European Union&rsquo;s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.</p>

opencc-by-4.0Dec 2019View details →
zenodo40/100

Transient Optoelectronic Analysis of the Impact of Material Energetics and Recombination Kinetics on the Open-Circuit Voltage of Hybrid Perovskite Solar Cells

<p>This is the data presented in the article 'Transient Optoelectronic Analysis of the Impact of Material Energetics and Recombination Kinetics on the Open-Circuit Voltage of Hybrid Perovskite Solar Cells' published in The Journal of Physical Chemistry C, DOI: 10.1021/acs.jpcc.7b02411.</p>

opencc-by-4.0Jun 2017View details →
zenodo40/100

Dataset for paper "Multidetection scheme for transient-grating-based spectroscopy" by Brioschi M. et al.

<p>This dataset complements the publication "Multidetection scheme for transient-grating-based spectroscopy" by Brioschi M. et al.</p><p>The data hierarchy is explained in the file "Readme.docx", which also reports relevant metadata.</p>

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

Supplemental Movie 1: Stochastic Ca2+ transients in ICC-DMP.

<p><strong><span>Supplemental Movie 1: S</span><span>tochastic Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>transients in</span></strong><span> <strong>ICC-DMP.<span>&nbsp; </span></strong>Movie of intracellular Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>transients in ICC-DMP labelled with the genetically encoded Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>indicator GCaMP3. &nbsp;The top left FOV shows elongated ICC-DMP at 60x and the top right FOV shows ICC-DMP at 100x magnification. &nbsp;Note the lack of coincidence of Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>transients between the blue bit-masked cell and the non-bit-masked cell in the 100x FOV. &nbsp;The blue bit-masked ICC-DMP in the 100x FOV was used to construct a spatio-temporal map of Ca</span><sup><span>2+</span></sup><span>-induced fluorescence intensity along the length of the cell (lower panel).<span>&nbsp; </span>Note the stochastic firing of spontaneous Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>transients in ICC-DMP.<span>&nbsp; </span>Copied with permission from reference </span><span><span>(127)</span></span><span>.<span>&nbsp;</span></span></p> <p>&nbsp;</p> <p><span><span><a href="https://doi.org/10.1152/physrev.00036.2022">https://doi.org/10.1152/physrev.00036.2022</a></span></span></p>

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

Supplemental Movie 2: Clustered Ca2+ transients (CTCs) in gastric ICC-MY occur from multiple firing sites.

<p><strong><span>Supplemental Movie 2: Clustered Ca<sup>2+</sup> transients (CTCs) in gastric </span><span>ICC-MY occur from multiple firing sites</span></strong><span>.<span>&nbsp; </span>ICC-MY in the gastric antrum firing of CTCs and imaged at high resolution with a spinning disk confocal microscope using a 60x objective. </span><span>Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>signals were monitored in a gastric muscle from a mouse with the genetically encoded </span><span>Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>indicator, GCaMP6f, expressed exclusively in ICC. The left panel shows typical stellate-shaped ICC-MY with multiple interconnecting processes. The middle panel shows the </span><span>Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>particle (PTCL) activity, color coded in blue for raw PTCLs, and the centroids of particles are indicated in purple and green indicates </span><span>Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>firing sites. There are multiple sites firing </span><span>Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>transients during the CTCs.<span>&nbsp; </span>The right panel shows an occurrence map of color-coded initiation/firing sites. The pattern of firing sites </span><span>Ca</span><sup><span>2+</span></sup><span><span>&nbsp;</span></span><span>activity was temporally clustered as activation of </span><span>Ca</span><sup><span>2+</span></sup><span><span>&nbsp;transients </span></span><span>swept through the network of ICC-MY.<span>&nbsp; </span>The onset of the CTCs was explosive, and then asynchronous firing of occurred at multiple sites and was sustained for more than 2 sec.<span>&nbsp; </span>Note also the complete quiescence of firing immediately upon conclusion of a CTC (absolute refractory period) and then sporadic initiation of firing with time.<span>&nbsp; </span>It is the re-initiation of firing that sets off the next CTC by activating ANO1 channels, depolarization and activation of voltage-dependent Ca<sup>2+</sup> current (see text for details).<span>&nbsp; </span>Reformatted with permission from reference </span><span><span>(106)</span></span><span>.<span>&nbsp; </span></span></p>

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

Supplemental Movie 5: Pattern of slow wave activation in intact stomach as viewed by imaging of Ca2+ transients in ICC-MY.

<p><strong><span>Supplemental Movie 5:<span>&nbsp; </span>P</span>attern of slow wave activation in intact stomach as viewed by imaging of Ca<sup>2+</sup> transients in ICC-MY<span>&nbsp; </span></strong><span>Ca</span><sup><span>2+</span></sup> transients were monitored in canulated whole stomachs taken from mice expressing GCaMP3 exclusively in ICC (upper left panel). The whole stomach from fundus through the pylorus is visualized in the FOV.<span>&nbsp; </span>Right panel shows differentiated image in which background (unchanged pixels) remains black and active pixels (ICC) are intensity-coded to white.<span>&nbsp; </span>Activation of <span>Ca</span><sup><span>2+</span></sup> waves (which activate currents in ICC-MY and generate slow waves in gastric muscles) develop into a spiral pattern of activation from a dominant pacemaker region near the greater curvature of the corpus.<span>&nbsp; </span><span>Ca</span><sup><span>2+</span></sup> transients in the whole stomach <span>are plotted as a spatio-temporal map, displaying proximal to distal propagation of Ca</span><sup><span>2+</span></sup><span><span>&nbsp;waves</span></span><span> along the length of the stomach (lower panel). (Provided by Dr. Grant Henning)</span></p>

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

Dataset to manuscript entitled "Non-fluorescent transient states of tyrosine - a basis for label-free protein conformation and interaction studies" submitted to Scientifc Reports

<p><strong>This folder contains all raw data underlying the results presented in a manuscript, submitted to</strong><strong> </strong><strong><em>Scientifc Reports, </em>and entitled</strong><strong>:</strong></p> <p><strong><em>Non-fluorescent transient states of tyrosine - a basis for label-free protein conformation and interaction studies</em></strong></p> <p>&nbsp;</p> <p><strong>Authored by:</strong></p> <p><strong>Niusha Bagheri <sup>1</sup>, Hongjian Chen <sup>1</sup>, Mihailo Rabasovic <sup>2</sup>, Jerker Widengren <sup>1,*</sup></strong></p> <p><sup>1&nbsp;&nbsp;&nbsp; </sup>Royal Institute of Technology (KTH), Experimental Biomolecular Physics, Dept. Applied Physics, Albanova University Center 106 91 Stockholm, Sweden</p> <p><sup>2 </sup>Laboratory for Biophysics, Institute of Physics Belgrade, Pregrevica 118<br>11080 Zemun-Belgrade, Serbia</p> <p>* Corresponding author (jwideng@kth.se)</p> <p><strong>&nbsp;</strong></p> <p><strong>The data files are grouped into the different techniques used to generate them, and refer to the figures/tables in the manuscript where the extracted results are presented. </strong></p> <p>&nbsp;</p> <p><strong>ABSTRACT</strong></p> <p>The amino acids tryptophan, tyrosine, and phenylalanine have been extensively used for different label-free protein studies, based on the intensity, lifetime, wavelength and/or polarization of their emitted fluorescence. Like most fluorescent organic molecules, these amino acids also tend to undergo transitions into dark meta-stable states, such as triplet and photo-radical states. While this may be perceived as a problem, these transitions are also highly environment-sensitive and can be used as an additional set of parameters, reflecting interactions, folding states, and immediate environments around the proteins. In this work, we applied the transient state monitoring (TRAST) technique, analyzing the average intensity of tyrosine emission under different excitation modulations, to characterize the photo physics of tyrosine for such readout purposes. By investigating how the dark state transitions of tyrosine varied with excitation intensity and solvent conditions we established a photophysical model for tyrosine. Next, we studied Calmodulin (containing two tyrosines), which upon calcium binding takes a more folded conformation. From these TRAST experiments, performed with 280nm time-modulated excitation, we show that tyrosine dark state transitions clearly change with the calmodulin conformation, and may thus represent a useful source of information for (label-free) analyses of protein conformations and interactions.</p>

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

Dataset of "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"

<p>This dataset supports the article published<em>&nbsp;</em>in the Advanced Energy Materials:</p> <p>"Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"</p> <p>&nbsp;</p> <p>Raw data for the article "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models". For further details see the readme.txt file.</p>

opencc-by-4.0Apr 2024View details →
dryad40/100

Transient analysis of power loss density with time-harmonic electromagnetic waves in Debye media

<p>Due to the complex permittivity, it is difficult to directly clarify the transient mechanism between electromagnetic waves and Debye media. To overcome above problem, the temporal relationship between the electromagnetic waves and permittivity is explicitly derived by applying the Fourier inversion and introducing the remnant displacement. With the help of the Poynting theorem and energy conservation equation, the transient power loss density is derived to describe the transient dissipation of electromagnetic field and the mechanism on phase displacement has been explicitly revealed. Besides, the unique solution can be obtained by applying the time-domain analysis method rather than involving the frequency-domain characteristics. The effectiveness of transient analysis is demonstrated by giving a comparison simulation on one-dimensional example.</p>

opencc-zeroJan 2022View details →
zenodo40/100

The Transient UV Objects Project

<p>Poster and lightning talk for &#39;Exploring the Transient Universe with the Nancy Grace Roman Space Telescope&#39;: The Transient UV Objects Project, David Modiano.</p> <p>Note: apologies for the incorrect date in the first slide of the presentation!&nbsp;</p> <p>Abstract:&nbsp;Despite the prevalence of transient-searching facilities operating across most wavelengths, the ultraviolet (UV) transient sky remains to be systematically studied. Therefore, we have recently initiated the Transient Ultraviolet Objects (TUVO) project, with which we search for serendipitous UV transients in data obtained using currently available UV instruments with a strong focus on the UV/Optical (UVOT) telescope aboard the Neil Gehrels Swift Observatory.&nbsp;We constructed a pipeline (named TUVOpipe)&nbsp;in order to find such transients in the UVOT data, using difference image analysis. The pipeline is run daily on all new public UVOT data (which are available 6-8 hours after the observations are performed), so we discover transients in near real-time. Using TUVOpipe we have processed 111 330 individual UVOT images and we currently detect an average rate of &sim;100 transient candidates per day. Of these daily candidates, on average &sim;30% are real transients (separated by human vetting from the remaining &lsquo;bogus&rsquo; transients which were not discarded automatically within the pipeline). Most of the real transients correspond to known variable stars, though we also detect a significant number of known active galactic nuclei and accreting white dwarfs. Some of the transients we find represent previously unreported new transients, or undiscovered outbursts of previously known transients, predominantly outbursts from cataclysmic variables. Here we describe TUVOpipe and some of the initial results we have so far obtained.</p>

opencc-by-4.0Feb 2022View details →
zenodo40/100

What can we learn about transients from the 21 cm line emission in their environments?

<p>I present the result of an observational campaign to map the 21 cm atomic hydrogen line in host galaxies of supernovae (SNe), long gamma-ray bursts (GRBs), and fast radio bursts (FRBs). For all analysed hosts of type Ic-BL SNe and GRBs we found off-centre gas concentrations close to the GRB/SN positions and irregular velocity fields. This suggests a recent gas inflow. This is consistent with GRB/SN progenitors being born when a galaxy accretes metal-poor gas from the intergalactic medium, and opens a possibility to use GRB/SN hosts to study gas accretion. This supports a very massive model for their progenitors. Similarly, the host galaxies of FRBs exhibit very asymmetric 21 cm lines, suggesting a connection between the birth of FRB progenitors and galaxy interactions. On the other hand, the host galaxy of the unusual transient AT 2018cow (the first fast blue optical transient, FBOT) does not exhibit such features, which suggests that its progenitor may not have been a massive star.&nbsp;</p>

opencc-by-4.0Feb 2022View details →
zenodo40/100

Classifying Transients and Variable Objects with SCONE

<p>In this work, we expand the use of the Supernova Classifier with a Convolutional Neural Network (SCONE) to include classification of an additional two classes of transient objects and five classes of variable objects. SCONE has been adapted for these additional types of objects by updating its data processing pipeline to better handle variable objects, which exhibit repeated changes in brightness over time, as well as introducing class weights to ensure the model picks up on the nuances of the imbalanced training and test sets (both pulled from the PLAsTiCC dataset). Preliminary results show SCONE is capable of classifying transients with 80% accuracy and variable stars with 70% accuracy. To further improve its performance, we are now working on an original method of simulating light curves using templates found in the PLAsTiCC dataset to create a larger and more representative test set.</p>

opencc-by-4.0Feb 2022View details →
dryad40/100

Modulation of fracture healing by the transient accumulation of senescent cells

<p>Senescent cells have detrimental effects across tissues with aging but may have beneficial effects on tissue repair, specifically on skin wound healing. However, the potential role of senescent cells in fracture healing has not been defined. Here, we performed an in silico analysis of public mRNAseq data and found that senescence and senescence-associated secretory phenotype (SASP) markers increased during fracture healing. We next directly established that the expression of senescence biomarkers increased markedly during murine fracture healing. We also identified cells in the fracture callus that displayed hallmarks of senescence, including distension of satellite heterochromatin and telomeric DNA damage; the specific identity of these cells, however, requires further characterization. Then, using a genetic mouse model (Cdkn2aLUC) containing a Cdkn2aInk4a-driven luciferase reporter, we demonstrated transient in vivo senescent cell accumulation during callus formation. Finally, we intermittently treated young adult mice following fracture with drugs that selectively eliminate senescent cells ('senolytics', Dasatinib plus Quercetin), and showed that this regimen both decreased senescence and SASP markers in the fracture callus and significantly accelerated the time course of fracture healing. Our findings thus demonstrate that senescent cells accumulate transiently in the murine fracture callus and, in contrast to the skin, their clearance does not impair but rather improves fracture healing.</p>

opencc-zeroMar 2022View details →
zenodo40/100

Ultrafast Infrared Transient Absorption Spectroscopy of Gas-Phase Ni(CO)4 Photodissociation at 261 nm

<p>This is the data repository for the following publication:</p> <p>Neil C. Cole-Filipiak, Jan Tross, Paul Schrader, Laura M. McCaslin, and Krupa Ramasesha, &quot;Ultrafast infrared transient absorption spectroscopy of gas-phase Ni(CO)4 photodissociation at 261 nm,&quot; J. Chem. Phys. 156, 144306 (2022), https://doi.org/10.1063/5.0080844.</p> <p><strong>Abstract:</strong></p> <p>We employ ultrafast mid-infrared transient absorption spectroscopy to probe the rapid loss of carbonyl ligands from gas-phase nickel tetracarbonyl following ultraviolet photoexcitation at 261&nbsp;nm. Here, nickel tetracarbonyl undergoes prompt dissociation to produce nickel tricarbonyl in a singlet excited state; this electronically excited tricarbonyl loses another CO group over tens of picoseconds. Our results also suggest the presence of a parallel, concerted dissociation mechanism to produce nickel dicarbonyl in a triplet excited state, which likely dissociates to nickel monocarbonyl. Mechanisms for the formation of these photoproducts in multiple electronic excited states are theoretically predicted with one-dimensional cuts through the potential energy surfaces and computation of spin&ndash;orbit coupling constants using equation of motion coupled cluster methods (EOM-CC) and coupled cluster theory with single and double excitations (CCSD). Bond dissociation energies are calculated with CCSD, and anharmonic frequencies of ground and excited state species are computed using density functional theory (DFT) and time-dependent density functional theory (TD-DFT).</p> <p>&nbsp;</p> <p><strong>Experimental Data:</strong></p> <p>All data are saved as a .csv file. The first column contains frequencies (in cm<sup>-1</sup>) while the first row indexes each time delay (in ps). High-resolution transient spectra at select time delays are similarly structured. Each transient .csv file is labeled according to molecule, pump wavelength, file contents, pump laser power, pressure, and a date (<em>e.g.</em> NT261_trans_1mW_1.5torr_17Feb2021.csv).</p> <p>&nbsp;</p> <p><strong>Computational Data:</strong></p> <p>This data repository consists of 7 directories, which contain the data used in the main paper.&nbsp; Computational data published in the supplementary material may be requested from the corresponding authors.</p> <p>Anharmonic frequencies and DFT energies can be obtained in the directory &quot;VPT2&quot;, where the files are labelled nicoX_*_anharm.out, where X=3,2,1 (the compound) and * corresponds to the electronic state for which the calculation was performed.</p> <p>EOM-CC calculations of the spin-orbit coupling constants at the geometries reported are found within the &quot;SOCC&quot; directory using the naming convention nicoX_[]_so_*.out, where X=3,2, []=an indication of the geometry, and * corresponds to the electronic state for which the calculation was performed.</p> <p>Calculations of the minimum energy crossing points (MECPs) can be found in the directory &quot;MECP&quot; using the naming convention nicoX_min*.out, where X=4,3,2,1, and * corresponds to the two electronic states for which the MECP is calculated (e.g. s0s1).</p> <p>The following 4 directories contain all the EOM-CC output files needed to reproduce the curves from Figure 2: 4to3, 3to2, 4to2, and 2to1, corresponding to panels a, b, c, and d, respectively.&nbsp; The naming conventions for the files within these directories are X_yz.out, where X=the name of the directory, y=the value of the reaction coordiante, and z=s (singlet) or t (triplet).</p>

opencc-by-4.0Apr 2022View details →
zenodo40/100

Data for Microkinetic modeling of the transient CO2 methanation with DFT-based uncertainties in a Berty reactor

<p>Dataset and scripts for the manuscript &quot;Microkinetic modeling of the transient CO2 methanation with DFT-based uncertainties in a Berty reactor&quot;, which has been submitted for review. The file contains all the raw data and the evaluation of the experiments. Additionally, all scripts for the microkinetic model are provided to perform transient simulations with all 5000 methanation mechanisms investigated in the manuscript.</p>

openmit-licenseApr 2022View details →
dryad40/100

Conflict over fertilization underlies the transient evolution of reinforcement

<p>When two species meet in secondary contact, the production of low-fitness hybrids may be prevented by the adaptive evolution of increased prezygotic isolation, a process known as reinforcement. Theoretical challenges to the evolution of reinforcement are generally cast as a coordination problem, i.e. "how can statistical associations between traits and preferences be maintained in the face of recombination?" However, the evolution of reinforcement also poses a potential conflict between mates. For example, the opportunity costs to hybridization may differ between the sexes or species. This is particularly likely for reinforcement based on postmating prezygotic (PMPZ) incompatibilities, as the ability to fertilize both conspecific and heterospecific eggs is beneficial to male gametes, but heterospecific mating may incur a cost for female gametes. We develop a population genetic model of interspecific conflict over reinforcement inspired by "gametophytic factors'', which act as PMPZ barriers among <em>Zea mays</em> subspecies. We demonstrate that this conflict results in the transient evolution of reinforcement––after females adaptively evolve to reject gametes lacking a signal common in conspecific gametes, this gamete signal adaptively introgresses into the other population. Ultimately the male gamete signal fixes in both species, and isolation returns to pre-reinforcement levels. We interpret geographic patterns of isolation among <em>Z. mays</em> subspecies considering these findings and suggest when and how this conflict can be resolved. Our results suggest that sexual conflict over fertilization may pose an understudied obstacle to the evolution of reinforcement. </p>

opencc-zeroSep 2022View details →
zenodo40/100

Relief from nitrogen starvation triggers a transient destabilization of glycolytic mRNAs in Saccharomyces cerevisiae cells

<p>Dataset supporting &quot;Relief from nitrogen starvation triggers a transient destabilization of glycolytic mRNAs in Saccharomyces cerevisiae cells&quot; (2018) Molecular Biology of the Cell&nbsp;29:377-522. DOI:&nbsp;10.1091/mbc.E17-01-0061</p>

opencc-by-4.0Sep 2017View details →
zenodo40/100

Datasets to Transient Attracting Profiles in the Great Pacific Garbage Patch

<h1>Summary</h1> <p>This repository contains supplementary datasets to the publication Transient Attracting Profiles in the Great Pacific Garbage Patch (<a href="https://doi.org/10.5194/egusphere-2024-1215" target="_blank" rel="noopener">Kunz et al., 2024, preprint</a>). TRansient Attracting Profiles (TRAPs, <a href="http://doi.org/10.1038/s41467-020-16281-x" target="_blank" rel="noopener">Serra et al. (2020)</a>, <a href="https://doi.org/10.1063/1.4951720" target="_blank" rel="noopener">Serra and Haller (2016)</a>) have been computed using the TRAPs detection software by <a href="https://github.com/MattiaSerra/TRAPs" target="_blank" rel="noopener">Mattia Serra (2020)</a>. Raw TRAPs were further post-processed, tracked and analysed using software by <a href="https://github.com/kunzluca/trapsgpgp" target="_blank" rel="noopener">Luca Kunz (2024)</a>. Here we provide two comprehensive datasets:</p> <ol> <li> <p>the <strong>TRAPS GPGP</strong>&nbsp;dataset: This dataset contains 20 years of TRAP detections with various attributes like e.g. TRAP lifetimes, propagation speeds and pattern detections in the surrounding vorticity field. It comes in 20 yearly files named <code>MULTIOBS_24HI_e025_TRAPS_GPGP_20XX.pkl</code>.</p> </li> <li> <p>the <strong>TRAPS DRIFTERS HPS</strong> dataset: This dataset contains 20 years of drifter-TRAP pair detections with attributes like e.g. drifter-TRAP distances, drifter retention times and TRAP attraction strengths. It comes in one file named&nbsp;<code>MULTIOBS_24HI_e025_GDP_24HI_TRAPS_DRIFTERS_HPS_0019_r075.pkl</code>.</p> </li> </ol> <p>&nbsp;</p> <p>You can use these scripts to open the datasets and follow the analysis in Kunz et al. (2024):</p> <p><code>aa_define_classes.ipynb</code><br><code>rxa_read_TRAPS_GPGP.ipynb</code><br><code>rxb_read_TRAPS_DRIFTERS_HPS.ipynb</code><br><code>rxc_ANALYSIS_EXAMPLES.ipynb</code></p> <p>Make sure you adopt the directory structure that is provided here. You can use the .yml file to set up the working environment via <code>conda env create -f trapsgpgp_condaenvexport.yml</code> or <code>conda create -n trapsgpgp -f trapsgpgp_condaenvexport.yml</code>.</p> <p>For supplementary videos, see: <a href="https://doi.org/10.5281/zenodo.10943728">https://doi.org/10.5281/zenodo.10943728</a></p> <h1>Source data</h1> <p>Raw TRAPs and relative vorticity are derived from daily snapshots of near-surface geostrophic + Ekman currents from the product Global Total Surface and 15m Current (COPERNICUS-GLOBCURRENT) from Altimetric Geostrophic Current and Modeled Ekman Current Reprocessing that is provided by the E.U. Copernicus Marine Service (<a href="https://doi.org/10.48670/moi-00050" target="_blank" rel="noopener">CMEMS, 2022a</a>). Surface drifter positions have been consulted from the Global Drifter Program (<a href="https://doi.org/10.25921/7ntx-z961" target="_blank" rel="noopener">Lumpkin and Centurioni, 2019</a>). This repository does not include raw TRAP detections, raw drifter data or relative vorticity fields but they can be shared upon request.</p> <h1>Acknowledgements</h1> <p>This work is a contribution to the project <a href="https://www.trr-energytransfers.de/research/area-l/l3" target="_blank" rel="noopener">L3 Meso- to submesoscale turbulence in the ocean</a> of the Collaborative Research Centre TRR 181 Energy Transfer in Atmosphere and Ocean funded by the German Research Foundation (DFG) and has been conducted in collaboration with <a href="https://theoceancleanup.com/" target="_blank" rel="noopener">The Ocean Cleanup</a>.</p> <h1>Please cite</h1> <p>When using the data, please cite</p> <p>Kunz, L., Griesel, A., Eden, C., Duran, R., and Sainte-Rose, B.: Transient Attracting Profiles in the Great Pacific Garbage Patch, Ocean Sci., 20, 1611&ndash;1630, <a href="https://doi.org/10.5194/os-20-1611-2024">https://doi.org/10.5194/os-20-1611-2024</a>, 2024.&nbsp;</p> <p>and provide a link to the repository.</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Raw data for: Self-Referencing for Quasi Shot-Noise-Limited Widefield Transient Microscopy

<p>The repository shares the data used to produce the figures in the paper "Self-Referencing for Quasi Shot-Noise-Limited Widefield Transient Microscopy", submitted 2024 in Optics Express.&nbsp;</p> <p>The upload includes for each Figure the raw and processed self-referenced transient normalized transmission data, (T_on-T_off) / T_off, from which all results and statistics are deduced.</p>

opencc-by-4.0May 2024View details →
zenodo40/100

Python scripts and datasets used in the article "Investigating the off-axis GRB afterglow scenario for extragalactic fast X-ray transients"

<p>This package includes datasets and python scripts used in the analysis and creation of figures in the A&amp;A paper "Investigating the off-axis GRB afterglow scenario for extragalactic fast X-ray transients" (Wichern et al. 2024).</p>

opencc-by-4.0Jul 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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