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Figure 1 in Towards a global synthesis of Collembola knowledge - challenges and potential solutions
Figure 1. Trends in Collembola taxonomy. New species description accumulated up till the 1960's but stays linear afterwards (A); Most of species were recorded from Asia, Europe and North America (B); While the rate of species description stays unchanged for the last 70 years, the number of described taxa per taxonomist (first authorship) declines (C); The number of species described is driven by a low number of productive taxonomists, with the first 23 highly productive taxonomists (5.6 % of all first authors of species descriptions) being responsible for ca. 50 % of total known Collembola species (D). All estimations for the panels A, B and C were calculated in 5-year intervals. For the panel D only persons listed in the authorship of the species were included in the analysis. The figure is produced based on the data from September, 2020 available from http://collembola.org (Bellinger et al. 1996-2020).
Fig. 4 in Detection and quantification of house mouse Eimeria at the species level - Challenges and solutions for the assessment of coccidia in wildlife
Fig. 4. qPCR detection of intracellular stages of Eimeria in cecum and ileum from Mus musculus. -Delta Ct value (CtEimeria - CtMouse) from each tissue for 164 mice are plotted on the graph. The dotted line indicate the threshold of −5, values above the line are considered positive for the corresponding tissue. Circles represent negative samples, triangles indicate samples with Eimeria species identification and colors correspond to the Eimeria species identified in those samples. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Detection and quantification of house mouse Eimeria at the species level - Challenges and solutions for the assessment of coccidia in wildlife
Fig. 1. Geographical localization of house mice (Mus musculus) collected for this study and comparison of diagnostic methods for Eimeria. A) Localization from the 378 mice included in the present study, colors indicate the Eimeria species identified for each. B) Venn diagram showing the overlap between detection methods and successful genotyping identification of the isolates. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Detection and quantification of house mouse Eimeria at the species level - Challenges and solutions for the assessment of coccidia in wildlife
Fig. 3. Morphological and morphometrical characteristics of Eimeria oocyst isolated from Mus musculus. a) Photomicrographs at 1000x amplification of Eimeria oocyst from the three species isolated from Mus musculus (red = E. falciformis; green = E. ferrisi and yellow = E. vermiformis). Length/Width ratio from b) oocyst and c) sporocysts corresponding to each species (E. falciformis n = 31; E. ferrisi n = 127 and E. vermiformis n = 35). Mean ± 95% Confidence Interval is plotted. * Represent significant difference (Tukey HSD, p <0.05). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Captures of oriental fruit flies and melon flies (Diptera: Tephritidae) in traps baited with torula yeast borax solution or 2- or 3-component synthetic food cones in Hawaii
Fig. 1. Captures of wild Bactrocera dorsalis in traps baited with torula yeast borax solution, 2-component cones, or 3-component cones. Symbols represent means (± 1 SE); N = 12 traps per treatment per weathering interval.
Fig. 3 in Captures of oriental fruit flies and melon flies (Diptera: Tephritidae) in traps baited with torula yeast borax solution or 2- or 3-component synthetic food cones in Hawaii
Fig. 3. Captures of release Bactrocera dorsalis (top) and Zeugodacus cucurbitae (bottom) in traps baited with torula yeast borax solution (TYB), 2-component cones (2C), or 3-component cones (3C). Bar heights represent means (± 1 SE); N = 48 traps per treatment (8 traps per replicate × 6 replicates).
Fig. 2 in Captures of oriental fruit flies and melon flies (Diptera: Tephritidae) in traps baited with torula yeast borax solution or 2- or 3-component synthetic food cones in Hawaii
Fig. 2. Captures of wild Zeugodacus cucurbitae in traps baited with torula yeast borax solution, 2-component cones, or 3-component cones. Symbols represent means (± 1 SE); N = 10 traps per treatment per weathering interval.
Figure 2 in Solution structure of the first RRM domain of human spliceosomal protein SF3b49
Figure 2. – Fresh specimen of Lutjanus madras (UPVMI 1084, 211.3 mm SL, Panay Island, Republic of the Philippines).
Figure 3 in Solution structure of the first RRM domain of human spliceosomal protein SF3b49
Figure 3. – Diagrams of the first gill arch of the right side of Lutjanus madras. A: UPVMI 1084; B: MUFS 46214 (226.0 mm SL, Beruwala, Sri Lanka). Arrowhead and arrows indicate soft flesh-like mass and rudimentary gill rakers, respectively.
T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data, Part 1
<p>Raw and processed MRI data of the study entiled: T1234-Part 1</p> <p>Authors: Chung (Kenny) Kan1, Rüdiger Stirnberg2, Marcela Montequin1, Omer Faruk Gulban3,4, A Tyler Morgan1, Peter Bandettini1, Laurentius (Renzo) Huber1</p> <ol> <li>NIMH, NIH, Bethesda, United States,</li> <li>German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,</li> <li>CN, FPN, University of Maastricht, The Netherlands,</li> <li>Brain Innovation, Maastricht, The Netherlands</li> </ol> <p><strong>Purpose</strong>: High-resolution fMRI at 7T is limited by limited registration quality between functional data with structural scans. We aim to provide a fast acquisition method that provides distortion-matched, artifact mitigated structural reference data.</p> <p><strong>Methods</strong>: We developed an efficient sequence approach with adjustable distortions, termed T1234: T1-weighted 2-inversion 3D-EPI with 4 directions for high-resolution fMRI. A forward Bloch model is implemented for T1 quantification and protocol optimization. 20 participants were scanned on 7T with structural and functional protocols to evaluate the utility of T1234.</p> <p><strong>Results</strong>: We find that a fast protocol provides reliable data for whole-brain segmentations in EPI-space in 3:00-3:40 min). It is robust across sessions, participants, and three 7T SIEMENS scanners. T1234 allows layer fMRI signal analysis with higher laminar precision.</p> <p><strong>Conclusion: </strong>This structural mapping approach allows precise registration with fMRI data. T1234 is implemented, validated, and tested to serve users of our sequence (locally and >50 centers worldwide). </p>
The solute carrier superfamily interactome
<p><span>Solute carrier (SLC) transporters form a protein superfamily that enables</span><span> transmembrane transport of a wide range of substrates including nutrients, vitamins, </span><span>ions</span><span> and drugs</span><span>. There are about 450 different SLCs, </span><span>residing</span><span> in cellular and a variety of subcellular membranes, and playing a vital role in cellular homeostasis and metabolic regulation. Loss-of-function of an unusually high proportion of SLC transporters is genetically associated with a plethora of human diseases, making them a rapidly emerging but challenging drug target</span><span> class</span><span>. Knowledge of the protein environment of transporters </span><span>may elucidate </span><span>the molecular basis for their functional integration with</span> <span>metabolic and cellular pathways </span><span>and </span><span>help conceive pharmacological interventions based on modulating </span><span>proteostatic</span><span> regulations</span><span>,</span><span> including functional rest</span><span>o</span><span>ration. We aimed at obtaining a global survey of the SLC protein interaction landscape by using </span><span>a </span><span>robust</span><span>,</span><span> standardized</span><span>,</span><span> one-step </span><span>interaction proteomics</span><span> protocol. We mapped the protein-protein interactions of 396 SLCs, covering thousands of novel </span><span>relationships</span><span>, to be assessed individually in the future using transporter-specific assays. Network and clustering analysis allowed </span><span>identification of </span><span>proteins likely to affect the </span><span>proteostatic</span><span> regulation of transporters. We employed a streamlined functional assessment process based on RNA interference (RNAi)-genetic perturbation of cells and measurement of protein stability and localization, including some transport assays, to positively </span><span>validate</span><span> the functional role of over 50 </span><span>new </span><span>interactions. As an example, we</span> <span>d</span><span>etail</span><span> the role of a SLC16A6 phospho-degron in</span><span> the</span><span> recruitment of a SKP1-CUL1-F-box protein E3 ligase, and the contributions of PDZ-domain proteins LIN7C and MPP1 to the subcellular localization of SLC43A2. Overall, our work provides insights into the complex molecular network of membrane transporters while offering the largest </span><span>experimental mass spectrometry-derived </span><span>membrane protein data</span> <span>set</span> <span>to date as a resource for the scientific community.</span></p>
Molecular Dynamics Trajectories Exploring the Impact of Phosphorylation on the Physiological Form of Human alpha-Synuclein in Aqueous Solution
<h3>Primary data for the publication "Impact of Phosphorylation on the Physiological Form of Human alpha-Synuclein in Aqueous Solution" by de Bruyn, Dorn, Rossetti, Fernandez, Outeiro, Schulz and Carloni. Submitted to the Journal of Chemical Information and Modeling.</h3> <p>Included are all GROMACS input files, parameterised topologies, starting and final configurations, and trajectories for the lowest temperature replica (at 300 K, lowest of 32 replicas between 300-500 K exchanging according to the REST2 algorithm (Wang et al. 2011)). The data is split into three archives:</p> <ol> <li><strong>all_atom_trajectories.zip</strong> <ul> <li>contains all input files and all atom trajectories including solvent</li> <li>trajectories written at 100 ps intervals</li> </ul> </li> <li><strong>protein+ion_trajectories.zip</strong> <ul> <li>contains configuration/non-parameterised topologies and trajectories excluding solvent, but including ions</li> <li>trajectories written at 10 ps intervals</li> </ul> </li> <li><strong>additional_simulations.zip</strong> <ul> <li>contains the all atom trajectories and input files, and</li> <li>solvent-free trajectories above,</li> <li>for the additional simulations in the Supplemental Information of the article: <ul> <li>includes the DES-Amber-based simulations with 64 replicas between 300-600 K, and</li> <li>a99SB-<em>disp</em>-based simulations</li> </ul> </li> </ul> </li> </ol> <p> </p> <p>Folders are named according to the following top level scheme:</p> <ul> <li><strong>DES-Amber simulations/</strong> Simulations created using the DES-Amber force field (Tucker et al. 2022)</li> <li><strong>a99SB-<em>disp</em> simulations/</strong> SImulations created using the a99SB-<em>disp</em> force field for Intrinsically Disordered Proteins (IDPs) (Robustelli et al. 2018)</li> </ul> <p>Sub-folders follow the following scheme:</p> <ul> <li><strong>AS/</strong> Simulations of the physiological form of <em>wild-type </em>Human α-Synuclein <ul> <li>unphosphorylated</li> </ul> </li> <li><strong>pAS/</strong> Simulations of the physiological form of <em>wild-type </em>Human α-Synuclein <ul> <li>phosphorylated at S129</li> <li>with double negative charge</li> </ul> </li> <li><strong>pASH/</strong> Simulations of the physiological form of <em>wild-type </em>Human α-Synuclein (a99SB-<em>disp</em> simulations only) <ul> <li>phosphorylated at S129</li> <li>with a single negative charge (monoprotonated)</li> </ul> </li> </ul> <p> </p>
Experimental Repository for "Certifying Without Loss of Generality Reasoning in Solution-Improving Maximum Satisfiability"
<h2>Experimental repository for "Certifying Without Loss of Generality Reasoning in Solution-Improving Maximum Satisfiability".</h2> <h3>The directory is structured as follows:</h3> <ul> <li><code>data</code>: Data that has been processed into CSVs and the scripts to analyse the experiments.</li> <li><code>plots</code>: The plots generated from the data that are used in the paper.</li> <li><code>raw_data</code>: The raw data logs for the experiments and scripts to extract relevant data from the logs.</li> <li><code>source_code</code>: Source code for the checker <code>VeriPB</code> and the MaxSAT solver Pacose in the different variants used for the experiments. The Pacose version in <code>PacoseMaxSATSolver-baseline</code> is Pacose without proof logging, the version in <code>PacoseMaxSATSolver-certified</code> is Pacose with proof logging. Proof logging using only assumptions for the coarse convergence can be enabled via the option <code>--WithAssumptions</code>.</li> </ul> <h3>Install Requirements</h3> <p>To install and run the MaxSAT solver Pacose and the pseudo-Boolean proof checker VeriPB your need to have the following components installed:</p> <ul> <li>Python 3.6.9 or higher with pip and setuptools installed</li> <li>g++ 7.5.0 or higher</li> <li>libgmp</li> </ul> <p>These can be installed in Ubuntu / Debian via</p> <pre><code>sudo apt-get update && apt-get install \ python3 \ python3-pip \ python3-dev \ g++ \ libgmp-dev pip3 install --user \ setuptools</code></pre> <h3>How to Run?</h3> <p>The MaxSAT solver Pacose can be compiled using the install script in <code>PacoseMaxSATSolver-certified</code>:</p> <p><code>./install</code></p> <p>To run Pacose with proof logging, where the proof should be written to <code>proof.pbp</code>, run the following command in the <code>PacoseMaxSATSolver-certified</code> directory:</p> <p><code>./bin/Pacose --proofFile proof.pbp instance.wcnf</code></p> <p>The proof can be checked with VeriPB. To compile VeriPB run the following in the <code>VeriPB</code> directory:</p> <p><code>pip install .</code></p> <p>To check the proof with VeriPB, run the following inside the <code>PacoseMaxSATSolver-certified</code> directory:</p> <p><code>veripb --wcnf instance.wcnf proof.pbp</code></p>
THE ROLE OF PROPERTY MANAGEMENT IN PROMOTING ENERGY-EFFICIENT SOLUTIONS FOR RENTALS
<p>Real estate management plays a key role in promoting energy efficient solutions when renting out properties. The purpose of the study is to analyze the impact of management companies on the introduction of energy-efficient technologies to increase the competitiveness of facilities and reduce operating costs. The methodology is based on the analysis of data on the application of modern energy-efficient solutions, including lighting, heating and automation systems in buildings in the Czech Republic. The results showed that the use of such technologies helps to reduce utility costs by 20-40% and increases the attractiveness of facilities for tenants. In conclusion, property management aimed at energy efficiency ensures the achievement of sustainable development and economic benefits for owners and tenants. These measures increase the market value of the properties and extend the lease terms, which strengthens the position in the real estate rental market.</p>
Electrochemical activity of several compositions in the system Ag-Pd-Pt-Ru for the oxygen reduction reaction in 0.05 M KOH solution pH 12.5
<p>The dataset comprises electrochemical screening data of several compositions from three different thin film materials libraries in the system Ag-Pd-Pt-Ru. Given are three csv files that contain the measurement coordinates, the chemical composition in atomic percent and the electrochemical current that was evaluated from linear sweep voltammograms at a potential of 0.85V vs. RHE. </p> <p><strong>Experimental description</strong></p> <p>Materials libraries were fabricated by co-sputtering thin films on 100 mm diameter sapphire wafers (c-plane) from 4 elemental tar-gets. The targets were confocally aligned to a 100 mm substrate (target-substrate distance approx. 12 cm). Target materials had a purity of 99.99,%. Ar (99.9999 %) was used as a sputter gas. The deposition pressure was 0.667 Pa. The film thickness was 100 - 150 nm. The chemical composition of the materials libraries was measured by energy dispersive X-ray spectroscopy (EDX) with an acceleration voltage of 20 kV. 81 measurements were done on a regular grid of 9x9 (8.5 mm spacing) on each library. Linear regression was used to interpolate the composition over the 342 measurement areas of a 4.5 mm grid that was used in the scanning droplet cell experiments. Electrochemical measurements were conducted with the use of a high-throughput scanning droplet cell (SDC). The SDC head incorporates counter (Pt wire) and reference (Ag|AgCl|3 M KCl) electrodes and a teflon tip with 1 mm diameter. The materials library is connected as working electrode, e.g. the surface of the investigated sample in every spot where the tip touches the sample. The electrolyte was replaced for every measurement area. Linear sweep voltammograms were measured in 0.05 M KOH, pH 12.5, with a scan rate of 10 mV/s. All potentials are reported versus the RHE according to the following equation: URHE (V) = U(Ag|AgCl|3 M KCl) + 0.210 + (0.059 * pH), where U(Ag|AgCl|3 M KCl) is the potential measured versus Ag|AgCl|3 M KCl reference electrode, 0.210 V is the standard potential of the Ag|AgCl|3 M KCl reference electrode at 25◦C. Note that 0.059 is the result of (RT )· (nF)−1, where R is the gas constant, T is the temperature (298 K), F is the Faraday constant, and n is the number of electrons transferred during the reaction.</p> <p> </p>
Data set: The Effect of Chlorides on the Performance of DME / Mg[B(hfip)4]2 Solutions for Rechargeable Mg Batteries
<p>Dataset of the continuum simulations generated and used within the paper "<span>The Effect of Chlorides on the Performance of DME / Mg[B(hfip)</span><span>4</span><span>]</span><span>2 </span><span>Solutions for Rechargeable Mg Batteries</span>", published in <span>Journal of The Electrochemical Society</span> (<span>2023</span><span>, </span><span>170 (9)</span><span>, 090542</span>, DOI: <span>10.1149/1945-7111/acf960</span>).</p> <p><span>One of the major issues in developing electrolyte solutions for rechargeable magnesium batteries is understanding the positive effect of chloride anions on Mg deposition-dissolution processes on the anode side, as well as intercalation-deintercalation of Mg</span><span>2+ </span><span>ions on the cathode side. Our previous results suggested that Cl</span><span>– </span><span>ions are adsorbed on the surface of Mg anodes and Chevrel phase Mg</span><span>x</span><span>Mo</span><span>6</span><span>S</span><span>8 </span><span>cathodes. This creates a surface add-layer that reduces the activation energy for the interfacial Mg ions transportation and related charge transfer, as well as promotes the transport of Mg</span><span>2+ </span><span>from the solution phase to the Mg anode surface and into the cathodes’ host materials. Here, this work further examines the effect of adding chlorides to the state-of-the-art Mg[B(hfip)</span><span>4</span><span>]</span><span>2 </span><span>/ DME electrolyte solution, specifically focusing on reversible magnesium deposition, as well as the performance of Mg cells with benchmark Chevrel phase cathodes. It was observed that the presence of chlorides in these solutions facilitates both Mg deposition, and Mg</span><span>2+ </span><span>ions intercalation, whereby this effect is more pronounced as the purity levels of the solution is lowered.</span> </p>
Nature-based Solutions at OAL-UK
<p>Shapefile containing the spatial distribution of the planned NBS interventions at OAL-UK</p>
Solutions and Solution Costs for "Exact and Meta-Heuristic Approaches for Unrelated Parallel Machine Scheduling"
<p>This record contains the solutions and solution costs described in the journal paper "<a href="https://doi.org/10.1007/s10951-021-00714-6">Exact and metaheuristic approaches for unrelated parallel machine scheduling</a>".</p> <p> </p> <p><strong>Content</strong></p> <p>The ZIP archives contain the actual solution files (.soln) for each of the solver runs per instance.<br> Additionally, information files (.soln.info) are provided which contain a bit of extra information for the corresponding solution file.</p> <p>The Excel sheets (.xlsx) contain the calculated solution costs as either Tardiness / Makespan pair, or as weighted sum as described in the paper.</p> <p> </p> <p><strong>Format of the Solution Files</strong></p> <p>The solution files start with a line containing the header <strong>[Schedules]</strong>.<br> After this follows a CSV-style description of the schedules (with semicolon as separator) – the first column denotes the machine ID, while all following entries denote the job IDs, in order of their schedule on the corresponding machine.</p> <p> </p> <p><strong>Example</strong></p> <p>[Schedules]<br> 0;1;5;3<br> 1;4;2<br> <br> This solution means that jobs 1, 5, and 3 are scheduled to run in this order on machine 0.<br> Similarly, machine 1 runs jobs 4 and 2 in this order.</p>
Revisiting the diffuse layer polarization of a spherical grain in electrolytes with numerical solutions of Nernst-Planck-Poisson equations
<p>These datasets contain the Comsol files that were used in the publication "Revisiting the diffuse layer polarization of a spherical grain in electrolytes with numerical solutions of Nernst-Planck-Poisson equations", which is submitted to the Journal of Geophysical Research: Solid Earth. </p> <p>Note:</p> <ol> <li>file parallel plate_static.mph is the model used to generate numerical results in Figure 2</li> <li>file parallel plate_dynamic.mph is the model used to generate numerical results in Figure 3</li> <li>file grain_mechanism.mph is the model used to generate numerical results in Figures 4, 5, 6, 7, and 8</li> <li>file grain_salinity.mph is the model used to generate numerical results in Figures 9, 10, 11, and 12</li> <li>the solutions in the mph files are cleared to reduce file size. The solutions can be reproduced by conducting "solve" </li> </ol>
Object-based image analysis for monitoring plant invasions, can we use an open-source solution?
<p><strong>Introduction</strong></p> <p>This is a practical exercise testing possibilities of open-source solutions (FOSS) for object-based image analysis (OBIA) to monitor plant invasion using unoccupied aerial system (UAS, drone).</p> <p>The material is accompanying a chapter <strong><em>Müllerová, J. et al. (2023). Vegetation mapping and monitoring by unoccupied aerial systems – current state and perspectives. In: Manfreda, S. et Eyal B.D. (eds). Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments. Elsevier.</em></strong></p> <p>The material is meant for readers to run the workflow and detect invasion of giant hogweed on the UAS data themselves testing different FOSS solutions.</p> <p> </p> <p><strong>Data</strong></p> <p>• a subset of UAS-borne data (consumer camera) collected in Czech Republic during the flowering of a noxious invasive plant species giant hogweed (<em>Heracleum mantegazzianum</em>)</p> <p>• training dataset</p> <p>• eCognition rulebase (proprietary OBIA software)</p> <p>• a script for SegOptim package implemented in R</p> <p> </p> <p><strong>Description</strong></p> <p>The use case represents a simple application of OBIA approach based on the SegOptim package implemented in R.</p> <p>Four bands (RGBN) UAS image subset are available, capturing the central area of a heavily invaded location (CZ) by giant hogweed (Heracleum mantegazzianum). Thanks to the proper image timing, the invasive species is clearly observable as white objects (in RGB) representing the various stage of the blossom. Considering the complex shape of the flower heads, detection based on image segmentation outperforms pixel-based classification (Müllerová et al., 2017). Simple segmentation of input imagery is performed (for simplicity only the spectral bands are considered both for segmentation and feature space definition, however additional features such as vegetation indices or textural measures may be included), followed by supervised classification using training data. Finally, a visual comparison of result detection both from proprietary (eCognition) and open-source (SegOptim) implementation is provided, confirming comparable results.</p> <p>Based on #github("joaofgoncalves/SegOptim")</p> <p> </p> <p><strong>References</strong></p> <p>Gonçalves, J., Pôças, I., Marcos, B., Mücher, C. A., & Honrado, J. P. (2019). SegOptim—A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data. <em>International Journal of Applied Earth Observation and Geoinformation</em>, <em>76</em>, 218-230.</p> <p>Müllerová, J., Brůna, J., Bartaloš, T., Dvořák, P., Vítková, M. & Pyšek, P. (2017b). Timing Is Important: Unmanned Aircraft vs. Satellite Imagery in Plant Invasion Monitoring. Frontiers in Plant Science 8:1–13.</p> <p>Accompanying material for</p> <p>Müllerová, J. et al. (2023). Vegetation mapping and monitoring by unoccupied aerial systems – current state and perspectives. In: Manfreda, S. et Eyal B.D. (eds). Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments. Elsevier</p>
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.