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6,467 results for “process”
Base images for the article "Optimization of a frosting process for soda lime silicate glass based on phosphoric acid"
<p>Raw dataset of the optimization of a frosting process for soda lime silicate glass based on phosphoric acid.</p> <p><strong>Naming scheme:</strong></p> <ul> <li>Images starting with <strong>HGr</strong> are frosted using the industrial process. These files represent the reference frosting.</li> <li>Images starting with <strong>HG</strong> are frosted manually following the industrial process.</li> <li>In all other images, the solution concentrations within the preliminary bath are noted als follows: <ul> <li><strong>[c<sub>H3PO4</sub>]-[c<sub>NH4HF2</sub>]_[specimen]_[position].jpg</strong></li> <li>For example 10-2_e_1.jpg: This specimen was treated with a preliminary bath with 10 M-% H<sub>3</sub>PO<sub>4 </sub>and 20 g/L NH<sub>4</sub>HF<sub>2</sub>. It originates from the fith specimen (e) and is the first image of this series.</li> </ul> </li> </ul> <p> </p>
Processed NOMe-seq data for four human cell lines
<p>Raw NOME-seq data (Gene Expression Omnibus accession GSE57498) for the human cell lines HMEC, MCF7, PrEC, PC3 were aligned to hg19 using bwa-meth. Methylation and occupancy calls were made at WCG and GCH sites respectively using bwa-meth, BisSNP and bespoke, tailor made scripts (https://github.com/astatham/NOMe-seq-analysis).</p>
Numbers and shares of Open Access Journals in Sociology charging publication fees (article processing charges APCs)
<p>On the eleventh of June 2014 the Directory of Open Access Journals DOAJ listed 109 sociology journals. For these journals the information on publication charges was wrong in more than 10 % of the cases. Focusing on the eleven journals that - according to the DOAJ - used (always or conditionally) APCs the situation is even worse: 10 of these journals (90,9 %) were categorized wrongly.</p> <p>In fact only three out of these 109 journals (2,75 %) are charging their authors. The files contain corrected information for the 109 journals including the sums charged by the journals.</p>
Data Management Plan (DMP) Process Example
<p>This diagram is an example of a funding program solicitation mapped to the select key components of a data management plan, major data lifecycle process, infrastructure and resources, and proposed elements for sustainability of a funded research project. This diagram was developed out of a need to illustrate introductory DMP processes workflows for education, teaching, and training purposes. The DCC Checklist for a Data Management Plan (2013) and the USGS Data Lifecycle Model (2013) were adapted in this diagram.</p>
Data set to article "Rapid serial processing of natural scenes: Color modulates detection but neither recognition nor the attentional blink"
<p>The file Data_Marxetal2014_AB.csv contains the data to the paper<br> Marx, S., Hansen-Goos, O., Thrun, M., & Einhäuser, W. (2014). Rapid serial processing of natural scenes: Color modulates detection but neither recognition nor the attentional blink. Journal of Vision, 14(14):4, 1-18, http://www.journalofvision.org/content/14/14/4, doi:10.1167/14.14.4.<br> as comma-separated value (csv) file</p> <p>Each row contains the data of one trial, represented by the following columns</p> <p>1 - number of the line<br> 2 - subject ID<br> 3 - experiment number<br> 4 - color condition (1: gray inverted, 2: gray original, 3: color inverted, 4: color original)<br> 5 - number of targets<br> 6 - SOA in ms<br> 7 - serial position of first target (0 if absent)<br> 8 - serial position of second target (0 if absent)<br> 9 - category of first target (1: feline, 2: avian, 3: ungulate, 4: canine)<br> 10 - category of second target (1: feline, 2: avian, 3: ungulate, 4: canine)<br> 11 - response to "How many animals?" (detection)<br> 12 - response to first category (recognition, 1: feline, 2: avian, 3: ungulate, 4: canine)<br> 13 - response to second category (recognition, 1: feline, 2: avian, 3: ungulate, 4: canine)</p>
Dataset: Brain negativity as an indicator of predictive error processing: The contribution of visual action effect monitoring
<p>There are two files for each subject:</p> <p>1. sub##_error.dat -> Contains EEG Segments, that were recorded while the subject executed a clear target miss (minimal distance between the center of the ball and target > 12 cm) in the task (segment and electrode information can be found below).</p> <p>2. sub##_hit.dat -> Contains EEG Segments, that were recorded while the subject executed a clear target hit (minimal distance between the center of the ball and the target < 7 cm) in the task (segment and electrode information can be found below).</p> <p><br> The data in the *.dat-files are stored in a two dimensional matrix: n*1400 datapoints x 15 electrodes</p> <p>n represents the number of segments. 1400 datapoints per segment translate to a segment length of 2800 ms (from 600 ms before to 2200 ms after ball release). The ball´s release is located at the 301st datapoint and the feedback was presented at datapoint 726 (850 ms after ball release) in every segment.</p> <p>datapoints: The first dimension (rows) includes the measured neural activations in microvolts. The data is stored vectorized,<br> i.e. hit/error #1 -> row 1 to 1400, hit/error #2 -> row 1401 to 2800, ..., hit/error #n -> (n-1) * 1400 + 1 to n * 1400</p> <p>electrodes: The second dimension (columns) consists of the 15 different electrodes that were used during data recording in this exact order: [F3 Fz F4 C4 Cz C3 P3 Pz P4 VEOGu VEOGo HEOGre HEOGli FCz Mastre]</p>
Developing Digital Image Processing methods to quantify internal and interfacial convection in the Hele-Shaw cell, with applications to the laboratory ice-ocean boundary layer
<p>This dataset provides the video and image files obtained from Schlieren optical experiment 3 performed in the <span>Laboratoire de Glaciologie (GLACIOL)</span> at the Universite de libre Bruxelles. A document detailing the visual data and supporting figures is presented (DataOverview.pdf). </p>
MAPO-18 Catalysts for the Methanol to Olefins Process: Influence of Catalyst Acidity in a High-Pressure Syngas (CO + H2) Environment
<p>Supplementary Material: Catalyst characterization (XRD, SEM–EDS, N2 physisorption, IR spectroscopy, and propylamine-TPD), catalyst performance, and DFT calculations</p>
A CO2 valorization plant to produce light hydrocarbons: kinetic model, process design and life cycle assessment
<p>Supplementary material: Reaction indexes, Conservation equations, boundary conditions and used coefficients. Additional experimental results, Experimental data fitting, Stream properties and composition of the CO2 plant, Life Cycle Assessment indicators, assumptions and data input </p>
Hotspot propensity across mutational processes
<p>Mutational hotspots identified by HotspotFinder from 49 cancer types analysed in: Arnedo-Pac C, Muiños F, Gonzalez-Perez A, Lopez-Bigas N. Hotspot propensity across mutational processes. Mol Syst Biol. 2023:1-22. doi: <a href="https://doi.org/10.1038/s44320-023-00001-w">doi.org/10.1038/s44320-023-00001-w</a></p> <p>Hotspots have been computed using somatic mutations in each cancer type, after excluding those overlapping cancer driver elements. HotspotFinder has been run with a threshold of 2 mutated samples per hotspot and using alternate specific mutations. For additional details, please check Materials and Methods and Appendix Note 1 in our manuscript.</p> <p>HotspotFinder code is available at: <a href="https://bitbucket.org/bbglab/hotspotfinder">bitbucket.org/bbglab/hotspotfinder</a></p> <p>Source code to reproduce this data can be found at: <a href="https://github.com/bbglab/hotspot_propensity">github.com/bbglab/hotspot_propensity</a></p> <p>Cancer type identifiers are listed as follows:</p> <ul> <li>Acute Lymphoblastic Leukemia (ALL)</li> <li>Acute Myeloid Leukemia (AML)</li> <li>Adrenocortical Carcinoma (ACC)</li> <li>Anal Cancer (AN)</li> <li>Basal Cell Carcinoma (BCC)</li> <li>Biliary Tract (BILIARY_TRACT)</li> <li>Bladder/Urinary Tract (BLADDER_URI)</li> <li>Bone/Soft Tissue (BONE_SOFT_TISSUE)</li> <li>Bowel (BOWEL)</li> <li>CNS/Brain (BRAIN)</li> <li>Cervix (CERVIX)</li> <li>Colorectal Adenocarcinoma (COADREAD)</li> <li>Cutaneous Melanoma (SKCM)</li> <li>Cutaneous Squamous Cell Carcinoma (CSCC)</li> <li>Endometrial Carcinoma (UCEC)</li> <li>Ependymoma (EPM)</li> <li>Esophageal cancer (ES)</li> <li>Esophagus/Stomach cancers (ESOPHA_STOMACH)</li> <li>Glioblastoma Multiforme (GBM)</li> <li>Head and Neck (HEAD_NECK)</li> <li>High-Grade Glioma NOS (HGGNOS)</li> <li>Invasive Breast Carcinoma (BRCA)</li> <li>Kidney (KIDNEY)</li> <li>Liver (LIVER)</li> <li>Low-Grade Glioma NOS (LGGNOS)</li> <li>Lung (LUNG)</li> <li>Lung Neuroendocrine Tumor (LNET)</li> <li>Lymphoid Neoplasm (LNM)</li> <li>Medulloblastoma (MBL)</li> <li>Myeloid Neoplasm (MNM)</li> <li>Myeloproliferative Neoplasms (MPN)</li> <li>Neuroblastoma (NBL)</li> <li>Non-Hodgkin Lymphoma (NHL)</li> <li>Non-Small Cell Lung Cancer (NSCLC)</li> <li>Oligodendroglioma (ODG)</li> <li>Ovarian Cancer (OV)</li> <li>Pan-cancer (PANCANCER)</li> <li>Pancreas (PANCREAS)</li> <li>Pilocytic Astrocytoma (PAST)</li> <li>Pleural Mesothelioma (PLMESO)</li> <li>Prostate (PROSTATE)</li> <li>Retinoblastoma (RBL)</li> <li>Skin (SKIN)</li> <li>Small Bowel Cancer (SBC)</li> <li>Small Bowel Neuroendocrine Tumor (SBNET)</li> <li>Small Cell Lung Cancer (SCLC)</li> <li>Stomach cancer (ST)</li> <li>Thyroid (THYROID)</li> <li>Vulva (VULVA)</li> </ul>
NLDAS-2 Sacramento (SAC) Post-processed Daily-mean Soil Moisture Data
<p>This dataset contains North American Land Data Assimilation System Version 2 (NLDAS-2) Sacramento (SAC) post-processed daily-mean soil moisture data from 1993 to 2017 at four layers: 0-10 cm, 10-40 cm, 40-100 cm, and 0-100 cm. Original post-processing of the hourly data was conducted at National Oceanic and Atmospheric Administration (NOAA) by Dr. Youlong Xia and then later provided to the NOAA Physical Sciences Laboratory (PSL). Daily-mean data were generated at PSL from the hourly data by averaging data from 8 times each day (0,3,6,9,12,15,18,21 Z). The data are written in netCDF format and provided in annual netCDF files.</p>
Dataset for Fisher et al. (2023). Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Processing, 17(2), pp.349-361.
<p>This dataset contains the video clips used to produce the results presented in:</p><p>Fisher, M., French, G., Gorpincenko, A., Holah, H., Clayton, L., Skirrow, R. and Mackiewicz, M., 2023. Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Processing, 17(2), pp.349-361.</p>
Sub-speciation processes of equids in the Iberian Peninsula: ecological strategies and refuge areas
<p>Metrical raw data of teeth and bones of Equus caballus and Equus hydruntinus from Canyars (Catalunya, Spain)</p> <p>They document the publication : Uzunidis, Sanz, Daura, 2024, Sub-speciation processes of equids in the Iberian Peninsula: ecological strategies and refuge areas, Quaternary Science Reviews, 325, 108473. https://www.sciencedirect.com/science/article/abs/pii/S0277379123005218</p>
Input data for ismip6-gris-results-processing
<p>This archive provides the input data used for scalar processing of ISMIP6 Greenland ice sheet output data. </p><p>Processing scripts are available on github (https://github.com/ismip/ismip6-gris-results-processing) and have been additionally archived on zenodo (https://zenodo.org/records/3939115).</p><p>Results are related to publication "The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6" , Goelzer et al., 2020</p><p> </p>
The Sensitivity of SSVEPs to Variations in Numerical Material for Automatic Processing of Small Magnitudes
<p>We investigated the human ability to automatically process small magnitude information, using an oddball fast-periodic visual stimulation paradigm featuring a periodic alteration of magnitude (2 vs. 4) at a frequency of 1.25 Hz. Participants were exposed to various types of numerical content, such as biological (fingers), analogical (dots), and symbolic (Arabic digits), presented either in their conventional format (canonical) or in alternative formats (non-canonical), all synchronized at a base rate of 6.25 Hz. Our primary objective was to ascertain the sensitivity of steady-state visual evoked potentials (SSVEPs) to subtle small magnitude variations in relation to the specific type of numerical material.</p><p>SSVEPs were consistently observed at the base rate, corresponding to the presentation of the visual stimuli. Variations across conditions in terms of their location is examined, as well as the amplitude of the SSVEPs which is influenced by the type of material presented. Additionally, oddball SSVEPs emerged at a frequency of 1.25 Hz (and its harmonics) for each numerical content, suggesting the ability to discriminating the change of magnitude in each instance. However, the neural response exhibited distinctive characteristics based on the type of material presented. </p><p>These findings demonstrate that SSVEPs, while maintaining consistency in their presence across conditions, exhibit a sensitivity to variations in the type of numerical material, shedding light on the neural processes involved in the automatic processing of small magnitude information.</p>
Unraveling a synthetic rescue process involved in persisters formation
<p>A common strategy that bacteria utilize to increase their survival under stressful conditions in their natural environments, including antibiotic treatment, is the entry into quiescence, a state of reversible cell growth arrest that offers protection against many environmental insults. Understanding quiescence is an important fundamental question, with relevance in the medical and environmental fields. Little is known about the molecular and physiological determinants that orchestrate survival during this temporary arrest of proliferation, or those that allow a rapid transition back to the proliferating state when conditions again become favorable. In the wide host-range pathogen <em>Salmonella enterica</em> serovar Typhimurium (<em>S</em>. Typhimurium) and other Gram-negative bacteria, this temporary arrest of proliferation induces the expression of the alternative sigma subunit of RNA polymerase, sigma S/RpoS, which remodels global gene expression to reshape the cell physiology and ensure survival under starvation and various stress conditions (<em>i.e. </em>the general stress response).</p> <p>In <em>S</em>. Typhimurium, sigma S is required for stress resistance, biofilm formation and virulence. The incidence of human infections by non-typhoidal <em>Salmonella </em>such as <em>S.</em> Typhimurium increases. These serovars can infect farm animals, thus contaminating animal products, and can be transferred from animal carriers to the environment through fecal matter where they contaminate vegetables, fruits, nuts, and roots. Foodborne diseases caused by <em>Salmonella </em>represent a severe problem to the food supply as well as the public health. <em>S</em>. Typhimurium actively cycles through host and nonhost environments, where it is exposed to a wide variety of stresses, and where sigma S likely plays a crucial role in its persistence.</p> <p>One important aspect of persistence is the phenotypic differentiation of quiescent populations into sub-population(s) of "persisters" that survive in the presence of lethal concentrations of antibiotics. This phenomenon is worsening the worldwide antibiotic crisis, by causing therapy failure and chronic infections and potentially favoring the development of antibiotic resistance. Understanding mechanisms governing bacterial persisters is thus an important topic and a key issue for drug developments. However, despites many studies, the physiological and molecular mechanisms controlling the formation of persisters are poorly understood and controversial. <strong>In the present study we explore the recently discovered and unexpected functional interaction between sigma S and succinate dehydrogenase (Sdh), in the formation of persisters. </strong></p> <p>Persisters are phenotypic variants within a population that survive in the presence of lethal concentrations of antibiotics. When a bacterial population is diluted into fresh medium containing bactericidal antibiotics, a biphasic killing is observed. The bulk of the population, consisting of sensitive cells, dies rapidly and the surviving persisters are killed much more slowly, or do not die during the time course of the experiment. Their regrowth after antibiotic removal yields a new population that has the same sensibility to the antibiotics, as did the parental one. Persisters formation is critically dependent on the growth phase. Despite the identification of a number of genes and pathways involved in persisters formation (toxin-antitoxin modules, SOS and stringent responses, efflux systems, metabolic functions and global regulators), the underlying molecular mechanisms are still poorly understood and controversial. In particular, persisters formation in <em>Escherichia coli</em> K-12 has been reported to be increased, decreased or not affected by a <em>rpoS</em> deletion. A better understanding of physiological parameters favoring persisters formation is critical to develop antipersisters strategies.</p> <p>Succinate dehydrogenase (Sdh), a membrane bound complex that connects the TCA cycle and respiratory chain, is one major target down regulated by sigma S. Negative regulation by sigma S likely targets housekeeping genes that might be deleterious when fully expressed in quiescent cells. Understanding why full expression of those genes has a fitness cost might provide insights into survival mechanisms and weaknesses of quiescent cells, with potential application for antibacterial strategies. To tackle this issue, we used Sdh as a model system. <strong>Our study led us to unravel a synthetic rescue process of a </strong><em><strong>sdh</strong></em><strong> mutation in the formation of persisters. </strong></p> <p>Stationary-phase <em>Salmonella </em>form persisters with a higher frequency than actively growing bacteria, after transfer to fresh medium in the presence of lethal concentrations of ampicillin and ciprofloxacin, but not significant effect of the <em>rpoS</em> deletion on this phenomenon was observed. Surprisingly however, the <em>rpoS</em> deletion suppressed the defect in persister formation of a <em>sdh</em> deletion mutant. Similar results were obtained with independent <em>sdh</em> and <em>sdhrpoS</em> constructs and the mutations did not significantly affect the minimum inhibitory concentration (MIC) of <em>Salmonella</em> for ampicillin and ciprofloxacin. <strong>It is very likely that the </strong><em><strong>rpoS</strong></em><strong> deletion compensates for a metabolic perturbation provoked by the </strong><em><strong>sdh</strong></em><strong> deletion, and key for persister formation. </strong>Since a <em>sdh</em> mutation also decreases persister formation by <em>E. coli </em>and <em>Staphylococcus aureus</em>, the underlying physiological effect might be common to Gram-negative and Gram-positive bacteria. Understanding the molecular and physiological bases of this phenomenon should provide insights into key features driving persisters formation and revival. </p> <p>For references , see the <strong>STUDY</strong> pdf file. </p> <p>The persister assay is described in the <strong>PROTOCOL</strong> pdf file.</p> <p>Strains used are described in the <strong>STRAINS AND PRIMERS</strong> .xlsx file.</p> <p>Results are summarized in the <strong>STUDY</strong> pdf file </p> <p>For detailed data, see the <strong>M1 to M101 persisters</strong> .xlsx files. </p> <p><strong>This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).</strong></p> <p>See also:</p> <p>NOREL Francoise, MONTEIL Veronique, DOUCHE Thibaut, & MATONDO Mariette. (2023). Global effects of deletion of the <em>sdh</em> genes, encoding succinate dehydrogenase, and of cobalt on protein abundance in stationary phase <em>Salmonella enterica</em> serovar Typhimurium. [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.8279681">https://doi.org/10.5281/zenodo.8279681</a>. </p> <p>Phégnon, L., Uttenweiler-Joseph, S., & Létisse, F. (2024). <span>Key physiological and metabolic characteristics for the differentiation of quiescent Salmonella's cells into persisters [Data set]. </span>Zenodo. <a href="https://doi.org/10.5281/zenodo.10885905" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10885905</a></p> <p> </p>
Growing Diamonds in the Laboratory to investigate Growth, Dissolution, and Inclusions Formation processes
<p>Dataset for the manuscript : <strong>Growing Diamonds in the Laboratory to investigate Growth, Dissolution, and Inclusions Formation processes</strong></p><p><strong>after </strong>Hélène Bureau, Imène Estève, Caroline Raepsaet, Geeth Manthilake</p><p>It comprises one excel file containing raw SEM EDX data and 10 SEM images of the samples</p>
Data and Code for "Why are generalists the 'winners' of habitat loss? Unveiling the process underlying specialist-generalist replacements in fragmented landscapes"
<p><span>Data and R-based workflow for the study "Why are generalists the ‘winners’ of habitat loss? Unveiling the process underlying specialist-generalist replacements in fragmented landscapes".</span></p>
Survey: Qualitative FGI research on the processing, sourcing, utilisation and management of wood biomass (NCN) DEC-2020/39/I/HS4/03533
<p>The dataset contains the proceedings of a qualitative FGI of representatives of wood biomass processing and harvesting companies. The research was conducted from 5 July 2022 to 7 July 2022 using only the FGI method. The survey was conducted in face-to-face meetings among respondents.<br>The study was funded by National Science Centre in Poland under agreement National Center of Science (NCN) through grant DEC-2020/39/I/HS4/03533</p>
Investigating the ageing process of polymer modified bitumen using a modified Thin-Film Oven Test in the aspect of recycling purpose within Weave-UNISONO 2021 project, NCN project No 2021/03/Y/ST8/00079
<div><strong>Summary:</strong></div> <div>One polymer-modified bitumen PMB 25/55-60 was tested in two stages: original and after the modified Thin-Film Oven Test (TFOT). The time ranges from 1h-5h, and temperatures from 120°C-200°C were used. The Fourier-Transform Infrared (FTIR) Spectroscopy and Dynamic Shear Rheometer (DSR) with parallel plates were conducted. Test temperatures range from 30–70°C for a 25 mm diameter plate and 0–30°C for an 8 mm plate with 10°C intervals and angular frequency range of 0.1, 1.0, and 10 Hz.</div> <div> </div> <div> </div> <div><strong>The dataset includes:</strong></div> <div>Basic characteristics of bituminous binder (R&B Temperatur, Penetration), CSV raw data:</div> <div> <ul> <li>01 - SP Pen.csv</li> </ul> </div> <div> </div> <div>Dynamic shear rheometer (Temperatures 0-70 °C, Angular Frequency 0.1Hz, 1.0Hz, 10 Hz, Complex Shear Modulus, Phase Angle):</div> <ul> <li>02.1 - DSR Rheology_Unaged.csv</li> <li>02.2 - DSR Rheology_2h_140C.csv</li> <li>02.3 - DSR Rheology_2h_200C.csv</li> <li>02.4 - DSR Rheology_5h_140C.csv</li> <li>02.5 - DSR Rheology_5h_200C.csv</li> </ul> <div> </div> <div>FTIR - Fourier-Transform Infrared Spectroscopy </div> <div> <ul> <li>OPUS Spectroscopy files.zip</li> </ul> </div> <div> </div> <div>--- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- ---</div> <div>to open the OPUS files, please go to the © Bruker webpage and download the free OPUS Viewer.</div> <div>https://www.bruker.com/en/products-and-solutions/infrared-and-raman/opus-spectroscopy-software/downloads.html</div> <div>--- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- ---</div> <div> </div>
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.