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4,182 results for “universities”
Certificates & Diploma, Akademos Learning & CBM International University
<p>Certificates & Diploma, Akademos Learning & CBM International University</p>
Data underpinning "Chaotic fluctuations in a universal set of transmon qubit gates"
<p>Transmon qubits arise from the quantization of nonlinear resonators, systems that are prone to the buildup of strong, possibly even chaotic, fluctuations. One may wonder to what extent fast gate operations, which involve the transient population of states outside the computational subspace, can be affected by such instabilities. We<br>here consider the eigenphases and -states of the time evolution operators describing a universal gate set, and analyze them by methodology otherwise applied in the context of many-body physics. Specifically, we discuss their spectral statistic, the distribution of time dependent level curvatures, and state occupations in- and outside the computational subspace. We observe that fast entangling gates, operating at speeds close to the so-called quantum speed limit, contain transient regimes where the dynamics indeed becomes partially chaotic. We find that for these gates even small variations of Hamiltonian or control parameters lead to large gate errors and speculate on the consequences for the practical implementation of quantum control.</p>
Questionnaire and Data of Neck Pain and Distance learning among university Students During COVID-19
<p> The shift to online learning during COVID-19 led to increased musculoskeletal discomforts and impacted students' quality of life. Neck pain, once a minor issue, has become more prevalent due to prolonged electronic device use in new learning methods. This study aims to measure the prevalence of neck pain among University of Sharjah (UOS) students during the COVID-19 online learning period and to investigate the factors that provoked it.</p><p> This cross-sectional study used an online survey distributed to UOS students via social media from February 16 to March 12, 2021. Demographic data, Neck Disability Index (NDI) assessments, and pain management information were gathered and analyzed using SPSS 24 through univariate and bivariate methods.</p><p>The prevalence of neck pain during COVID-19, among 325 UOS students was found to be 62.7%, 64.41% of which had neck pain at the time of doing the survey. The mean NDI percentage point was 19.19%. The most common location of pain was the back of the neck 38.77%). Participants reported prolonged sitting (81.23%) while leaning forward as the most prevalent cause of their neck pain. Bivariate analysis showed that the most significant factors affecting the NDI were lifting, personal care, headaches, concentration, sleeping, recreational activities, reading, anxiousness, depression, and work. Moreover, subjects who did not seek medical attention treatment had significantly higher NDI scores as compared to those who did (83.89 vs 125.80, p=0.002).</p><p>By determining the prevalence of neck pain among UOS students, this research can attract attention to the importance of postural changes and time spent in e-learning on neck pain, and the gaps of previously published articles can be filled. Future studies about neck pain and additional preventative measures should be catalyzed in the UAE.</p>
Experimental raw data sets associated with certified reference material BAM-P116 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 305 to 345 m²/g<br>Expected specific surface area for argon (BET): 300 to 310 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Survey of storage systems topics covered at top universities
<p>The CSV file contains our survey results with links to the specific courses.<br>The jupyter notebook contains the scripts used to generate the plot and table we use in the paper.<br>To run the jupyter notebook:<br>1. Install required dependencies using `pip install -r requirements.txt`<br>2. Start `jupyter lab`<br>3. Run the cells in order</p>
Data from: Geographic variations in eco-evolutionary factors governing urban birds: the case of university campuses in China
<ol> <li><span>Urbanization alters natural habitats, restructures biotic communities, and serves as a filter for selecting species from regional species pools. However, empirical evidence of the specific traits that allow species to persist in urban areas yields mixed results. More importantly, it remains unclear which traits are widespread for species utilizing urban spaces (urban utilizers) and which are environment-dependent traits. </span></li> <li><span>Using 745 bird species from 287 university/institute campuses in 74 cities and their species pools across China, we tested whether species that occur in urban areas are correlated with regards to their biological (body mass, beak shape, flight capacity, and clutch size), ecological (diet diversity, niche width, and habitat breadth), behavioral (foraging innovation), and evolutionary (diversification rate) attributes. </span></li> <li><span>We used Bayesian phylogenetic generalized linear mixed models to disentangle the relative roles of these predictors further and to determine the extent to which the effects of these predictors varied among different cities. </span></li> <li><span>We found that urban birds were more phylogenetically clustered than expected by chance, and were generally characterized by a larger habitat breadth, faster diversification rate, more behavioral innovation, and smaller body size. Notably, the relative effects of the attributes in explaining urban bird communities varied with city temperature and elevation, indicating that the filters used to determine urban species were environment-dependent. </span></li> <li><span>We conclude that, while urban birds are typically small-sized, generalists, innovative, and rapidly-diversifying, the key traits that allow them to thrive vary spatially, depending on the climatic and topographic conditions of the city. These findings emphasize the importance of studying species communities within specific cities to better understand the contextual dependencies of key traits that are filtered by urban environments.</span></li> </ol>
Bryozoa SEM images from the Hebrew University 1
<p>SEM images of bryozoan samples from the historical collections of the Hebrew University, scenned as part of a virtual access Synthesys project</p>
Universal Mental Health Training Pilot Trial in Ukraine
<p><strong><span>General information</span></strong></p> <p><span>The UMHT is a specialised program developed to train frontline professionals on high-quality and evidence-based responses to the mental health needs of the population they serve. Police officers, emergency responders, social services workers, educators, pharmacists, priests, and other professionals daily interact with a substantial number of people. Whereas their professional roles imply working with people in crisis who experience strong emotions and require support, a high level of mental health awareness and skills to manage mental health issues are needed. Therefore, UMHT was developed as an educational instrument for Ukrainian frontline professionals to raise their mental health awareness, reduce stigma toward people with mental disorders and develop particular skills for giving support.</span></p> <p><span>The training is called Universal because its 5-step model offers a standard frame for interaction with people with mental health issues. Also, it is Universal because it is suitable for different types of frontline workers – the general interaction structure is not changing, only the set of relevant mental health conditions. </span></p> <p><span>The Mental Health Training for Frontline Professionals (UMHT) was developed in 2021 and piloted in 2021-2023 within the context of the Mental Health for Ukraine Project (MH4U), implemented in Ukraine by GFA Consulting Group GmbH (donor - Swiss Confederation). The University of Luxembourg, with the support of the European Commission through the MSCA4Ukraine fellowship scheme by the Alexander von Humboldt Foundation (AvH) for premier investigator Viktoriia Gorbunova, is leading a full-scale efficacy study of the UMHT in 2023-2025. </span></p> <p><strong><span>Data and file overview</span></strong></p> <p><span>Three efficacy measurements were used in the outcome assessment: <em>readiness to interact</em> <em>with people with mental health issues at work</em>,<em> mental health awareness</em>,<em> </em>and <em>mental health proficiency.</em></span></p> <p><em><span>Readiness to interact</span></em><span> <em>with people with mental health issues at work</em></span></p> <p><span>To measure the changes in readiness to interact with people with mental health issues at work (according to the 5-step model), all participants self-assessed their general readiness as well as readiness to do particular actions according to the 5-step model on a five-point scale (from 5 - "absolutely ready" to 1 - "absolutely not ready"). </span></p> <p><span>In the instruction, participants were asked: <em>"Reading the next statements, please assess your readiness for a different kind of interaction with people with mental health conditions. The scale is from 1 to 5, where 1 is the absolute absence of readiness, and 5 – is the absolute readiness".</em> </span></p> <p><span>The next set of statements was proposed to participants:</span></p> <ul> <li><em><span>Readiness to interact with people with mental health issues at work</span></em><span> (general readiness).</span></li> <li><em><span>Readiness to recognise mental health conditions</span></em><span> (readiness for step 1 of the 5-step model).</span></li> <li><em><span>Readiness to initiate and lead conversation with a person with mental health issues and his/her caregivers </span></em><span>(readiness for step 2).</span></li> <li><em><span>Readiness to support a person with mental health issues and his/her caregivers</span></em><span> (readiness for step 3).</span></li> <li><em><span>Readiness to refer a person with mental health issues, and his/her caregivers, to professional support</span></em><span> (readiness for step 4).</span></li> <li><em><span>Readiness to ensure that professional help is received by a person with mental health issues and his/her caregivers</span></em><span> (readiness for step 5).</span></li> </ul> <p><em><span>Mental health awareness</span></em></p> <p><span>Mental health awareness assessment was based on the KAP (knowledge, attitudes, and practices) model <em>(Andrade et al., 2020). </em>There is the experience of using such KAP-based surveys in Ukraine <em>(Quirke et al., 2021).</em> Based on the KAP model, a short survey was developed related to the knowledge about mental health issues, attitudes toward people with mental health disorders, and practice of interaction with them. </span></p> <p><span>Knowledge regarding people with mental disorders was assessed with the query: "Choose the statements that apply to people with mental health disorders" (max = 8 scores, where each score was awarded either for a choice of a correct statement or for a non-selection of a wrong statement):</span></p> <ul> <li><em><span>They are dangerous to the people around them.</span></em></li> <li><em><span>They are themselves guilty of their condition.</span></em></li> <li><em><span>They are incapable of true friendships.</span></em></li> <li><em><span>They can work.</span></em></li> <li><em><span>By appearance, it is clear that the person is not all right.</span></em></li> <li><em><span>Anyone can have a mental disorder.</span></em></li> <li><em><span>Mental disorders are incurable.</span></em></li> <li><em><span>Most people with mental disorders can recover.</span></em></li> </ul> <p><span>Attitude towards people with mental issues was assessed with the question: <em>"What is the best way of behaviour for people with mental health issues?"</em> (max = 8 scores):</span></p> <ul> <li><em><span>Do not tell anyone about their condition. </span></em></li> <li><em><span>Discuss everything with a doctor, but do not inform relatives.</span></em></li> <li><em><span>Hide this information at work/school.</span></em></li> <li><em><span>Tell loved ones and ask for help from specialists.</span></em></li> <li><em><span>Hide it from the family.</span></em></li> <li><em><span>Live among those like themselves.</span></em></li> <li><em><span>Should not marry and have children.</span></em></li> </ul> <p><span>The question for assessment practices of interactions with people with mental disorders: <em>"What is the proper way of interactions with people with mental health disorders?"</em> (max = 9 scores):</span></p> <ul> <li><em><span>You would better avoid any contact with them.</span></em></li> <li><em><span>You shouldn't allow them to make any decisions.</span></em></li> <li><em><span>You would better avoid working with them in one team or performing tasks together.</span></em></li> <li><em><span>You should be careful about conversations with them.</span></em></li> <li><em><span>You should be ashamed and try to hide the fact you have a relative with a mental health disorder.</span></em></li> <li><em><span>They should have the same rights as anyone else.</span></em></li> <li><em><span>It is normal to have a friend with a mental health disorder.</span></em></li> <li><em><span>It is normal to marry a person with a mental health disorder.</span></em></li> <li><em><span>You should treat them with care and sympathy.</span></em></li> </ul> <p><span>Practices of care about people with mental health issues were analysed with the question: <em>"What is the best way to care about people with mental health issues?"</em> (max = 6 scores):</span></p> <ul> <li><em><span>In a psychiatric hospital where they are under supervision and control (psychiatrist).</span></em></li> <li><em><span>Outside the hospital in specialised centres or privately (psychologist, psychotherapist).</span></em></li> <li><em><span>Alternative methods of treatment (traditional medicine, homoeopathy, vitamins, massage).</span></em></li> <li><em><span>Normal family relationships is the best treatment.</span></em></li> <li><em><span>Do not waste energy, it is not possible to cure mental disorders.</span></em></li> <li><em><span>At the primary level of health care (family doctor, paediatrician, general practitioner).</span></em></li> </ul> <p><span>Mental health awareness scores were collected as the sum of scores for each scale.</span></p> <p><em><span>Mental health proficiency</span></em></p> <p><span>Mental health proficiency, as the ability to recognise mental health disorders' symptoms, was assessed by the tests that include correct and non-correct symptoms. Three true and two false symptoms (based on DSM-5) were offered for selection in each case. Mental health proficiency was estimated as the sum of the correct choices of symptoms for every disorder learned by participants. For instance, the participants who worked during the training with depressive disorders should choose all appropriate parameters among depressed mood, markedly diminished interest or pleasure in almost all activities, excessive or inappropriate feelings of worthlessness or guilt, inattention as, difficulties following instructions and failure to finish tasks, restlessness as fidgeting with or tapping hands or feet or squirming in the seat.</span></p> <p><em><span>Additional one-month follow-up questions</span></em></p> <p><span>Additional questions for the one-month follow-up test were: "Did you work after the training with people with mental health issues that you studied?", "What kind of the issues?", "Did you use training knowledge and skills?", "Which knowledge and skills did you use in particular?" </span></p> <p><strong><span>Sharing and accessing information</span></strong></p> <p><span>Information (raw anonymized data) is openly available through Zenodo. It is possible to use the information with research aims to evaluate UMHT or compare data with other similar programs. Our research team kindly asks to notify the contact person (Viktoriia Gorbunova) about any usage of the dataset. </span></p> <p><strong><span>Methodological information</span></strong></p> <p><span>The study was quasi-experimental (no complete randomization was possible at this piloting stage). Two groups were involved: the experimental group (received UMHT) and the control group (no training, waiting list).</span></p> <p><span>The pilot trial of UMHTs' efficacy was conducted with 307 frontline professionals divided into 24 training groups (social workers (12 groups, 128 persons), educators (4, 63), police officers (4, 60), priests and clerics (1, 15), military volunteers (1, 12), workers of occupation centres (1, 13), emergency workers (1, 16)). All participants were recruited for training by their team leaders, who were informed about training possibilities by letters sent from the training developers. The only requirement for participation was working in the field with people. </span></p> <p><span>The control group included 211 persons with the same occupation background who participated in training later (waiting list). The control group consisted of social workers (97 persons), educators (32), police officers (40), priests and clerics (12), military volunteers (13), workers of occupation centres (7), and emergency workers (10).</span></p> <p><strong><span>Data-specific information</span></strong></p> <p><span>Excel file (UMHT_dataset_pilot_trial.xlsx) containing four pages. </span></p> <p><span>1. Page "Training groups_before UMHT". Contains the answers to questionaries completed by UMHT training participants before the training. </span></p> <p><span>2. Page "Training groups_after UMHT". Contains the answers to questionaries completed by UMHT training participants immediately after the training. </span></p> <p><span>3. Page "Training groups_after one month". Contains the answers to questionaries completed by UMHT training participants the month before the training. </span></p> <p><span>4. Page "Control group_before-after". Contains the answers to questionaries completed by UMHT control group participants (waiting list) before and after the training.</span></p>
Lee Chapel at Washington and Lee University
Photogrammetry model of Lee Chapel on the campus of Washington and Lee University in Lexington, Virginia. This model was created by Students in the Advanced Research Cohort program in the summer of 2017. The model was created in Agisoft Photoscan, using approximately 350 photos taken with a DJI Phantom 3 Professional drone. Source: Objaverse 1.0 / Sketchfab
Koç University Icon
The Symbol of Koç University, Ram Symbol Buy me a coffee: https://www.buymeacoffee.com/hosgungor Source: Objaverse 1.0 / Sketchfab
Our Universe
Yesterday was historic. We can peer deeper into the Cosmos than ever before! On July 11, NASA revealed the first Deep Field image from the James Webb Telescope, the galaxy cluster SMACS 0723. WITH THIS IMAGE, we can look 4.5 billion years into the past, to the creation of our universe. Somewhere on this rock, ive lost my robot. all of the skybox is the NASA INAGE converted to hdr. Enjoy! Source: Objaverse 1.0 / Sketchfab
McEwan Hall facade, the University of Edinburgh
My 3D model generated with photogrammetry software 3DF Zephyr v4.353 processing 77 images/lack of arial photos McEwan Hall: presented to the uni by William McEwan, designed by Robert Rowand in 1897 Category A listed building Source: Objaverse 1.0 / Sketchfab
Sculpture in front of University of Warsaw
Sculpture in front of University of Warsaw Faces: 876,996 Vertices: 441,408 Made from 30 photos in Agisoft Photoscan Source: Objaverse 1.0 / Sketchfab
Data from: A universal tool for marine metazoan species identification – Towards best practices in proteomic fingerprinting
<p><span>Proteomic fingerprinting using MALDI-TOF mass spectrometry is a well-established tool for identifying microorganisms and has shown promising results for identification of animal species, particularly disease vectors and marine organisms. However, few studies have tested species identification across different orders and classes. In this study, we collected data from 1,246 specimens and 198 species to test species identification in a diverse dataset. We also evaluated different specimen preparation and data processing approaches for machine learning and developed a workflow to optimize classification using random forest. Our results showed high success rates of over 90%, but we also found that the size of the reference library affects classification error. Additionally, we demonstrated the ability of the method to differentiate marine cryptic-species complexes and to distinguish sexes within species.</span></p>
Stem data from first three censuses on the University of California Santa Cruz Forest Ecology Research Plot
<p>Here we present stem-based data from the first three censuses of the 16-ha UC Santa Cruz Forest Ecology Research Plot, located in the Mediterranean climate forest of coastal central California, USA. The forest includes both mixed evergreen forest and redwood-dominated forest, and is recovering from significant logging disturbance in the early 20th century. Each woody stem with diameter larger than 1 cm has been mapped, tagged, identified, and measured, with censuses on a ~5-year interval. The first census (FERP1) began in 2007, and included just 6 ha. During FERP2, begun in 2011, the plot was expanded to 16 ha. The FERP3 census was begun in 2017. The community includes 34 woody species, including 4 gymnosperm and 9 angiosperm tree species, 18 species of shrubs, and 3 species of lianas. Across the three censuses, we report identity, size, location, and mortality data from 48,556 stems of 31,206 mapped individuals.</p>
The energy bands predicted by the universal HamGNN model
<p>universal_Hamiltonian.ckpt is the network weights for the universal HamGNN model. flat_systems.zip is the file contains the structures and energy bands for crystals with flat bands in GeNOME dataset. Energy_bands_prediction.zip is the file contains the structures and predicted energy bands for crystals in the test dataset of Materials Project. Energy_bands_DFT.zip is the file contains the structures and DFT calculated energy bands for crystals in the test dataset of Materials Project. </p>
Soil microbiome dataset from the University of Wisconsin Arlington and Lancaster agricultural research stations and cheese maker and vegetable processor wastewater land application sites
<p>Cheese making and vegetable processing are trillion-dollar industries globally. However, they generate immense volumes of high nitrogen wastewater that must be processed safely and cost effectively. Land application systems are frequently used by rural medium and smaller processing facilities that lack ready access to wastewater resource recovery facilities. This study utilized soil microbial data to determine system differences leading to high denitrification rates observed in incubation studies in agricultural soil collected from University of Wisconsin Agricultural Research Stations (ARS), Arlington and Lancaster stations, compared to industry cheese making and vegetable processing land application water treatment facilities. It was hypothesized that decade long frequent treatment with facility wastewater would alter the microbial communities in the system soils, but this is not the case. No clear correlations were found between soil denitrification rates and biotic or abiotic system factors and the microbial communities observed in the industry systems are similar to the ARS soils under agricultural production and to literature reported denitrifying systems such as wetlands and wastewater resource recovery facilities. Knowing that land application system management does not alter the microbial biome will allow any management advances that increase denitrification efficiency in other denitrifying systems to be readily applied to industry wastewater land application facilities. </p>
The Pontifical Bolivarian University and 2030 Agenda: Scientific production, access modalities, and social media impact.
<p><span>The 2030 Agenda and SDGs promote global resilience. Universities play a crucial role in their implementation through research and education. Recent studies analyze SDG-related scientific production, but evaluating the accessibility and social impacts of these results remains lacking. The article aims to analyze the intersection between SDGs, open access, and social impact of science, based on an analysis of PBU academic production in Colombia. A mixed-method approach is employed, combining quantitative and qualitative elements with scientometric techniques and data mining analysis, as well as big data from the perspective of Social Sciences. PBU scientific production analysis reveals increased research activity, with most publications available in open access. Thematic focuses such as health, sustainable development, and energy are highlighted. Thematic diversity reflects a multidisciplinary approach, but there is low production in key areas of sustainable development. Social media attention highlights topics like health, equality, and energy. Open access shows a strong correlation with online attention, emphasizing its importance in amplifying research impact. Although closed research also receives online attention, especially from academics. Greater focus is needed on inclusive publishing strategies and social media dissemination to address global challenges.</span></p>
University of Arizona Planetary Photogrammetry Workshop Materials
<p><strong>Workshop Materials Directory Overview</strong></p> <p>This directory contains a collection of workshop materials and resources for training sessions focused on planetary photogrammetric techniques. It includes step-by-step guides, exercises, installation instructions, presentations, and supplementary data files to support participants in utilizing software for photogrammetry.</p> <p><strong>Contents:</strong></p> <ul> <li> <p><strong>Workshop Materials</strong><br>Includes resources on NASA’s Ames Stereo Pipeline (ASP), structure-from-motion (SfM) techniques, photogrammetry basics, and HiRISE DTM analysis in QGIS. Key files:</p> <ul> <li><strong>ASP</strong>: Installation notes, introductory slides, support files, command guide, Docker setup, and stereopipeline documentation.</li> <li><strong>SfM</strong>: Resources and guides on GCPs, surveying, exercise materials, and installation/setup instructions.</li> <li><strong>Additional Materials</strong>: Workshop agenda, QGIS HiRISE DTM analysis guide, and introduction presentations.</li> </ul> </li> <li> <p><strong>Elysium Planitia Lava Preprocessing Data</strong><br>A zip file containing preprocessing data for analyzing the Elysium Planitia region on Mars, useful for DTM and geospatial applications.</p> </li> </ul> <p>Each sub-directory provides targeted resources designed to aid participants in learning digital elevation modeling for planetary surfaces. This structured, multi-session dataset supports both beginners and advanced users in photogrammetry, geospatial analysis, and terrain modeling applications, with a focus on Martian data.</p>
FractiScope: Unlocking Hidden Patterns in a Networked Fractal Computing AI Universe
<p>This Zenodo record serves as a central repository for all research, tools, and insights related to FractiScope, a groundbreaking AI-driven fractal intelligence scope powered by ChatGPT-4o and Novelty 1.0, and rooted in the SAUUHUPP framework. FractiScope is designed to uncover hidden fractal patterns and interconnected dynamics across science, technology, art, and creativity, framing these discoveries within the Networked Fractal Computing AI Universe.</p> <p> </p> <p>The record includes:</p> <p>• Foundational papers on SAUUHUPP, Novelty 1.0, and Unipixels.</p> <p>• Applications of FractiScope across disciplines such as chemistry, physics, genetics, language, and cosmology.</p> <p>• Case studies, white papers, and user guides detailing the use of FractiScope in research and innovation.</p> <p>• Resources for researchers, creatives, and visionaries to explore how fractal intelligence can revolutionize their work.</p> <p> </p> <p>This collection aims to foster collaboration, inspire new ideas, and advance the understanding of fractal intelligence and its implications for society.</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.