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2,235 results for “engineering”
Data from: Pollinators and plants as ecosystem engineers: post-dispersal fruits provide new habitats for other organisms
<p><span>Ecosystem engineering consists of</span><span> </span><span>a ubiquitous and fundamental class of interactions where some organisms promote state changes in biotic and abiotic materials which indirectly affect others. Since the concept was created as a counterpoint to traditional flux-based models, pollinators have never been considered to promote ecosystem engineering because they modulate the supply of resources used by seed/fruit consumers. However, dry fruits may persist in the environment for long periods after seed dispersion as empty structures that are an additional alternative for occupancy. These increase the realized niche of some organisms, being a clear example of biogenic habitats. Here, we demonstrate how pollination may boost ecosystem engineering using an illustrative case study based on a specialized interaction between a bee and an orchid with characteristic capsular fruits. We demonstrate that the orchid is fully dependent on the pollinator to set fruits. Post-dispersal fruits are voluminous and remain attached to the plant for several years. By investigating the occupation patterns of arthropods, we show that post-dispersal fruits are</span><span> </span><span>highly suitable for occupants when compared to pre-dispersal and dispersing fruits. Only 13.3% of post-dispersal fruits were never occupied, 33.3% had organisms inside and </span><span>53.3</span><span>% showed</span><span> </span><span>signs of previous occupation. We propose that pollinators are allogenic engineers and plants autogenic, since they promote state changes through their actions and their</span><span> </span><span>own physical structure, respectively. Thus, pollination is a case of cooperative ecosystem engineering whereby the effects of the interaction between two or more species expand habitat suitability. Since most plants rely on pollination to set fruits, we suggest that pollination-mediated engineering constitutes a widespread phenomenon. This offers a new perspective about the effects of pollination in nature, highlighting the importance of pollinators and opening new avenues of investigation of ecosystem dynamics and biodiversity maintenance.</span></p>
Low-Cost Sustainable Engineered Geopolymer Composites (EGCs) for Repair and New Construction of Transportation Infrastructure
<p>This study evaluated the use of cost-effective alternative materials in the formulation of novel low-cost Engineered Geopolymer Composite (EGC) materials for repair and new construction of transportation infrastructure in Region 6. Previous studies and reports have shown that EGCs have excellent mechanical properties, which makes them an eco-friendly and more sustainable alternative to Engineered Cementitious Composites (ECCs). However, the mass adoption of these emerging composites is expected to be hindered by their cost, which is mainly driven by the use of PVA reinforcing fibers, silica fume (SF), and manufactured microsilica sand (MS). To address this key shortcoming, novel low-cost EGC materials for repair and new construction of transportation infrastructure in Region 6 were developed by: (1) metakaolin (MK) and fly ash (FA) as replacements of commonly used SF for GP binders; (2) low-cost PP fiber, PVA fiber, and hybrid systems of PP and PVA fiber; and (3) natural sand instead of commonly used manufactured MS. The MK-FA GP binders were tested for compressive strength and characterized with scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS), while the MK-FA GP composites were tested for workability, compressive strength, and uniaxial tensile strength (UTT). Based on the experimental findings, it was concluded that 20-40 wt% of FA replacement was the optimal range for Na-based MK-FA GP with the strength values of ~12-14 MPa, while 50 wt% of FA replacement had the highest strength for K-based MK-FA GP of 17.2 MPa at 90-day. For composites, the mortar with the highest compressive strength reached a value of 10.6 MPa with 45% of river sand, and with 4 wt% SF and 1.5% PVA+0.25% PP fibers, it reached 21 MPa as a fiber-reinforced composite at 28-day. The composite with 10 wt% SF and 1.75% PE had the highest UTT of 3.97 MPa and a strain capacity of 1.78%. All the slant shear test specimens meet the 28-day shear bond strength requirement according to ASTM C882.</p>
Development of Ultra-High Performance Engineered Geopolymer Composites (UHP-EGCs)
<p>This study investigated the possibility of developing novel UHP-EGC materials for the repair and new construction of transportation infrastructure in Region 6 by utilizing locally available resources. To this end, the geopolymers (GPs) in this study were synthesized by activating metakaolin (MK) with potassium silicate and sodium silicate solutions. The solutions were manufactured in the laboratory by dissolving silica fume and potassium hydroxide (KOH) or sodium hydroxide (NaOH) in deionized water. MK-based GP binders, mortars, and fiber-reinforced composites were manufactured and evaluated to determine their density, compressive strength, tensile properties, and slant shear bond strength to Portland cement concrete (PCC). Based on the experimental findings, it was concluded that both MG7500 and FA4404 admixtures improved the workability but reduced the compressive strength of the GP. The inclusion of both microsilica sand and UHMWPE fibers (i.e., plasma-treated and pristine UHMWPE fibers) led to an improvement in compressive strength. Plasma-treated UHMWPE fibers exhibited a higher compressive strength compared to pristine UHMWPE fibers. The uniaxial tensile test results revealed that the composites with pristine and plasma-treated UHMWPE fibers at 1.5 vol.% exhibited robust pseudo-strain hardening (PSH) behavior. Furthermore, the best-performing composite (i.e., composite with plasma-treated fibers) exhibited a tensile strength and strain capacity of 6.65 MPa and 6.26%, respectively. The slant shear test revealed that all the materials passed the minimum requirement (i.e., 28-day shear bond strength greater than 13 MPa) to be used as a repair material. While the compressive strength of the developed GP composites using different techniques reached up to 73 MPa, future research should be directed toward the evaluation of hybrid systems (such as MK and slag) to achieve a compressive strength greater than 120 MPa.</p>
Reproduction package for "Revisiting the reproducibility of empirical software engineering studies based on data retrieved from development repositories"
<p>Reproduction package for "Revisiting the reproducibility of empirical software engineering studies based on data retrieved from development repositories", published in Information and Software Technology, Volume 164, December 2023. DOI: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.infsof.2023.107318" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.infsof.2023.107318</span></span></a></p>
200 Python selected projects for various software engineering studies
<p>History of 200 open-source Python projects hosted on GitHub - git clone at Feb 2022</p>
Natural Language Inference Dataset for Software Engineering
<p>This repository introduces a specialized NLI dataset designed to optimize the performance of the language models targeted for tackling NLP tasks related to the software engineering domain. We consider different texts from the software engineering domain and manually curated the entailment relationships among different sentences. The source of the sentence pairs includes PROMISE dataset, PURE dataset, user guides of different softwares, articles on operating systems (e.g. official documentation of Windows, Mac), databases (e.g. official documentation of MongoDB, Oracle), cyber security (MITRE documentation) and software product descriptions including AWS documentation. Our created text entailment dataset contains 10k sentence pairs manually labeled for balanced classification with the labels Entailment, Contradiction, and Neutral.</p>
Evaluation of Fresh and Hardened Properties of 3D-Printed Engineered Cementitious Composites (ECC) Designed for Sustainable and Resilient Infrastructure Systems
<p>3D concrete printing is a cutting-edge construction technique that has the potential to revolutionize the construction industry due to cost-saving in terms of labor and formwork costs, efficiency in construction, lower safety-related risks, and a higher degree of automation. However, several issues still make its adoption relatively slower on a large scale. Engineered cementitious composites (ECC), a class of ultra-high-strength concrete, can be a potential solution to some problems, such as reinforcement and durability. The preliminary phase of a Tran SET project focused on the design of 3D printable ECC, considering the concrete mix design proportions and their potential effects on fresh and hardened properties to achieve an optimized printable ECC mix. The type and content of various concrete ingredients such as cement, admixtures, aggregates, and fibers have considerable influence on the several properties in the fresh and hardened state. The replacement levels for cement were 0%, 50%, and 75% for mineral admixture, 10% for silica fume, and 0.4% for nano-clay by cement mass. Locally available fine aggregates were also used at 25% and 40% by mass of binder. In addition, the influence of fiber types and contents was also investigated. Two types of fibers, polyethylene (PE) and polyvinyl alcohol (PVA) fibers, were used at different levels, such as 0%, 1%, 1.5%, and 2% of the total volume of the mix. Moreover, four mixes, including FA50-MC, FA40SF10-MC, S50-MC, and FA40MK10-MC, were evaluated in terms of mechanical performance (flexural strength and direct tensile strength). The flowability of the ECC mixes was reduced with the incorporation of slag, metakaolin, higher aggregate content, and PE fibers. The 2% of both PVA and PE fibers had a reduction in compressive strength as compared to the low fiber content. Moreover, the PE-ECC exhibited superior tensile ductility as compared to the PVA-ECC due to the more fiber bridging by the PE fibers at the crack interface.</p>
Thermally controlled intein splicing of engineered DNA polymerases provides a robust and generalizable solution for accurate and sensitive molecular diagnostics
<p>DNA polymerases are essential for nucleic acid synthesis, cloning, sequencing and molecular diagnostics technologies. Conditional intein splicing is a powerful tool for controlling enzyme reactions. We have engineered a thermal switch into thermostable DNA polymerases from two structurally distinct polymerase families by inserting a thermally activated intein domain into a surface loop that is integral to the polymerase active site, thereby blocking DNA or RNA template access. The fusion proteins are inactive but retain their structures such that the intein excises during a heat pulse delivered at 70–80°C to generate spliced, active polymerases. This straightforward thermal activation step provides a highly effective, one-component 'hot-start' control of PCR reactions that enables accurate target amplification by minimizing unwanted by-products generated by off-target reactions. In one engineered enzyme, derived from <em>Thermus aquaticus</em> DNA polymerase, both DNA polymerase and reverse transcriptase activities are controlled by the intein, enabling single-reagent amplification of DNA and RNA under hot-start conditions. This engineered polymerase provides high-sensitivity detection for molecular diagnostics applications, amplifying 5–6 copies of the tested DNA and RNA targets with >95% certainty. The design principles used to engineer the inteins can be readily applied to construct other conditionally activated nucleic acid processing enzymes.</p>
Dataset on civil engineering students' entrepreneurial intentions.
<p>This dataset is generated to identify potential factors that influence Moroccan civil engineering students' entrepreneurial intentions.</p>
Open Data for publication: Engineering ligand chemistry on Au25 nanocluster: From unique ligand addition to precisely controllable ligand exchange
<p>Open Data for publication: <strong>Engineering ligand chemistry on Au<sub>25</sub> nanocluster: From unique ligand addition to precisely controllable ligand exchange</strong><br> Published in Chemical Science, 2023</p> <p>Authors: Jiangtao Zhao, Abolfazl Ziarati, Arnulf Rosspeintner, Yanan Wang and Thomas Bürgi</p>
Data for: Magnetic-field-assisted molecular beam epitaxy: Engineering of Fe3O4 ultrathin films on MgO(111)
<p>Molecular beam epitaxy is widely used for engineering low-dimensional materials. Here, we present a novel extension of the capabilities of this method by assisting epitaxial growth with the presence of an external magnetic field (MF). MF-assisted epitaxial growth was implemented under ultra-high vacuum conditions thanks to specialized sample holders for generating in-plane or out-of-plane MF and dedicated manipulator stations with heating and cooling options. The significant impact of MF on the magnetic properties was shown for ultra-thin epitaxial magnetite films grown on MgO(111). Using in situ and ex situ characterization methods, scanning tunneling microscopy, conversion electron Mössbauer spectroscopy, and the magneto-optic Kerr effect, we showed that the in-plane MF applied during the reactive deposition of 10 nm Fe3O4(111)/MgO(111) heterostructures influenced the growth morphology of the magnetite films, which affects both in-plane and out-of-plane characteristics of the magnetization process. The observed changes are explained in terms of modification of the effective magnetic anisotropy.</p>
Double-Fourier engineering of Josephson energy-phase relationships applied to diodes
<p>Code used to produce the numerical results presented in "Double-Fourier engineering of Josephson energy-phase relationships applied to diodes" manuscript.</p>
Data from: Human activities modulate reciprocal effects of a subterranean ecological engineer rodent, Tachyoryctes macrocephalus, on Afroalpine vegetation cover
<p class="MsoNormalCxSpFirst"><span>Human activities, directly and indirectly, impact ecological engineering activities of subterranean rodents. As engineering activities of burrowing rodents are affected by, and reciprocally affect vegetation cover via feeding, burrowing and mound building, human influence such as settlements and livestock grazing, could have cascading effects on biodiversity and ecosystem processes such as bioturbation. However, there is limited understanding of the relationship between human activities and burrowing rodents. The aim of this study was therefore to understand how human activities influence the ecological engineering activity of the giant root-rat (<em>Tachyoryctes macrocephalus</em>), a subterranean rodent species endemic to the Afroalpine ecosystem of the Bale Mountains of Ethiopia. We collected data on human impact, burrowing activity and vegetation during February and March of 2021. Using path analysis, we tested (1) direct effects of human settlement on the patterns of livestock grazing intensity, (2) direct and indirect impacts of humans and livestock grazing intensity on the root-rat burrow density, and (3) whether human settlement and livestock grazing influence the effects of giant root-rat burrow density on vegetation and <em>vice versa</em>. We found lower levels of livestock grazing intensity further from human settlement than in its proximity. We also found a significantly increased giant root-rat burrow density with increasing livestock grazing intensity. Seasonal settlement and livestock grazing intensity had an indirect negative and positive effect on giant root-rat burrow density, respectively, both via vegetation cover. Analysing the reciprocal effects of giant root-rat on vegetation, we found a significantly decreased vegetation cover with increasing density of giant root-rat burrows, and indirectly with increasing livestock grazing intensity via giant root-rat burrow density. Our results demonstrate that giant root-rats play a synanthropic engineering role that affects vegetation structure and ecosystem processes. </span></p>
NGS data from: Deploying synthetic coevolution and machine learning to engineer protein-protein interactions
<p>Fine-tuning of protein-protein interactions occurs naturally through coevolution, but this process is difficult to recapitulate in the laboratory. We describe a synthetic platform for protein-protein coevolution that can isolate matched pairs of interacting muteins from complex libraries. This large dataset of coevolved complexes<span class="Apple-converted-space"> </span>drove a systems-level analysis of molecular recognition between Z domain-affibody pairs spanning a wide range of structures, affinities, cross-reactivities, and orthogonalities, and captured a broad spectrum of coevolutionary networks. Furthermore, we harnessed pre-trained protein language models to expand, <em>in silico</em>, the amino acid diversity of our coevolution screen, predicting remodeled interfaces beyond the reach of the experimental library. The integration of these approaches provides a means of generating protein complexes with diverse molecular recognition properties as tools for biotechnology and synthetic biology.</p>
Dataset SLR Game Software Engineering 2009-21
<p>This dataset records the review process and results of the study "The Consolidation of Game Software Engineering: A Systematic Literature Review of Software Engineering for Industry-scale Computer Games."</p>
Data for microseismic wave attenuation calculation in two rock engineering
<p>Microseismic monitoring data for two rock engineering are included. These are the Hanjiang-to-Weihe River Diversion Project (HWRDP) in Shaanxi Province, China and the Yebatan Hydropower Station (YHS) which is located in the upper reaches of the Jinsha River at the junction of Sichuan Province and Tibet, China.</p> <p>The dataset consists of the raw waveform data used for attenuation calculations, as well as some necessary parameter datasheets, such as phase arrival time, sensor coordinates, etc.</p>
Resilient 3D-Printed Civil Infrastructure with Ultra-High Performance Engineered Cementitious Composites (UHPECCs)
<p>This study aims to develop and evaluate UHP-ECC materials for 3DP applications. To achieve this, the rheological properties of the cementitious composites were designed to accommodate 3DP functionality. Additionally, this study aimed to evaluate the hardened properties of the 3D-printed UHP-ECCs and compare them to the cast UHP-ECCs. Furthermore, the effect of variables such as sand-to-binder (S/B), fly ash-to-cement ratio (FA/C), and high-range water reducer (HRWR) content on the fresh and hardened properties of the 3D printable mixtures were evaluated. Fresh properties of mixtures were assessed by means of the flowability test, setting time test, and printability test. Hardened properties were assessed utilizing the compressive strength test, uniaxial tensile test, and flexural performance test. Experimental results showed that the flow and setting time of the composites reduced as S/B incremented while having the opposite reaction with an increase in FA/C or HRWR. Additionally, a range of initial spread diameter values from 127 to 136 mm was related to the printable mixtures. Moreover, pseudo-strain-hardening (PSH) behavior was observed for all mixtures during the uniaxial tensile test. It is important to note that mixture FA<sub>67</sub>S/B<sub>1</sub>(2.2) developed in this study, showed an exceptional tensile strain of 2.1%, along with a compressive strength of 91.9 MPa, a tensile strength of 5.3 MPa, and flexural strength of 13.6 MPa. Finally, the printed specimens showed significant anisotropic behavior when compared to cast specimens, displaying a reduction in compressive strength ranging from 14.5% to 37.5% when tested in the perpendicular, longitudinal, and lateral directions, as well as an increment in flexural strength ranging from 4.8% to 11.7% when tested in the perpendicular and lateral directions.</p>
PAM-Flexible Genome Editing with an Engineered Chimeric Cas9
<p>CRISPR enzymes require a defined protospacer adjacent motif (PAM) flanking a guide RNA-programmed target site, limiting their sequence accessibility for robust genome editing applications. In this study, we recombine the PAM-interacting domain of SpRY, a broad-targeting Cas9 possessing an NRN > NYN PAM preference, with the N-terminus of Sc++, a Cas9 with simultaneously broad, efficient, and accurate NNG editing capabilities, to generate a chimeric enzyme with highly flexible PAM preference: SpRYc. We demonstrate that SpRYc leverages properties of both enzymes to specifically edit diverse NNN PAMs and disease-related loci for potential therapeutic applications. In total, the unique approaches to generate SpRYc, coupled with its robust flexibility, highlight the power of integrative protein design for Cas9 engineering and motivate downstream editing applications that require precise genomic positioning.</p>
Translocation of linearized full-length proteins through an engineered nanopore under opposing electrophoretic force
<p>This database contains raw electrophysiology data and MD data, organised in two parts: part 1 corresponds to electrophysiology traces and part 2 corresponds to MD files. For detailed information see below.</p> <p><strong>Part 1: electrophysiology data </strong></p> <p>Data separated in two main categories: main text data and SI (only) data. The electrophysiology data is named in the following format: </p> <p>main_FnX_CytK mutant_buffer_substrate_cis_applied potential, where n = figure number and X = panel</p> <p>Data from the main text:</p> <p><strong>Figure 2</strong>:</p> <p>--> C) CytK WT + S1 substrate (file names start with main_F2C_CytK WT)</p> <p>--> D) CytK 2E-4D (K128D K155D Q145D S151D) + S1 substrate (main_F2D...)</p> <p>--> E) CytK 2E-4D (K128D K155D Q145D S151D) + tzatziki substrate (main_F2E...)</p> <p>--> F) CytK 2E-4D (K128D K155D Q145D S151D) + mujdei substrate (main_F2F...)</p> <p><strong>Figure 4</strong>:</p> <p>--> CytK 2E-4D (K128D K155D Q145D S151D/ 4D) + malE219a substrate (main_F4A...)</p> <p>--> CytK 2E-4D (K128D K155D Q145D S151D/ 4D) + H152A-GBP substrate (main_F4B...)</p> <p>--> CytK 2E-4D (K128D K155D Q145D S151D/ 4D) + W30G-W133L-DHFR substrate (main_F4C...)</p> <p> </p> <p><strong>Supporting information figures </strong></p> <p>general name: SI_Sx_CytK mutant_buffer_substrate_cis_applied potential, where x = number figure from supporting information</p> <p> </p> <p>Figure S4. S1 translocation through the K128D K155D CytK mutant nanopore --> SI_S4...</p> <p>Figure S5. S1 translocation through the K128D K155D Q145D CytK mutant nanopore --> SI_S5...</p> <p>Figure S6. S1 translocation through the K128D K155D T147D CytK mutant nanopore --> SI_S6...</p> <p>Figure S7. Translocation of S1 through the 2E-1D-1Q-Q122D-CytK nanopore --> SI_S7...</p> <p>Figure S8. Translocation of S1 through 2E-4D-CytK nanopores --> see F2D main text (main_F2D...)</p> <p>Figure S9. Tzatziki and the CytK 2E-2D nanopore --> SI_S9...</p> <p>Figure S10. Tzatziki translocation through the K128D Q145D S151D K155D CytK nanopore --> see F2D main text (main_F2E...)</p> <p>Figure S11. Tzatziki translocation through the K128D K155D Q145D CytK nanopore --> SI_S11...</p> <p>Figure S12. Tzatziki translocation through the K128D K155D T147D CytK mutant nanopore --> SI_S12...</p> <p>Figure S14. Translocation of mujdei through 2E-4D-CytK nanopores --> see F2D main text (main_F2F...)</p> <p>Figure S22. Translocation of malE219a through 2E-4D-CytK nanopores in 2 M urea --> see F4A main text (main_F4A...)</p> <p>Figure S23: Translocation GBP H152A through the 2E-4D CytK nanopore in 2.4 M urea --> see F4B main text (main_F4B...)</p> <p>Figure S24. Translocation of W30G-W133L-DHFR through 2E-4D-CytK nanopore in 2.6 M urea --> see F4B main text (main_F4B...)</p> <p>Figure S26. MalE219a translocation through the 2E-4D CytK mutant in 1 M and 1.8 M Gu.HCl --> SI_S26... (1 M GuHCl and 1.8 M GuHCl are included in the file name)</p> <p>Figure S27: WT-CytK tested with the malE219a and malE219aD10ssrA proteins in 1.5 M Gu.HCl --> SI_S27...</p> <p>Original SDS-PAGE gels of the substrates in a powerpoint file</p> <p> </p> <p><strong>Part 2: MD data</strong></p> <p>The data corresponding to the MD simulations is bundled in a zip file named MD_files.zip</p> <p>This file contains the following subfiles linked to <strong>main text Figure 3</strong>:</p> <p><em>panel A</em>:</p> <p>- main_F3A_CytK_E2-D2 </p> <p>- main_F3A_CytK_E2-D3</p> <p>- main_F3A_CytK_E2-D4</p> <p>- main_F3A_CytK_WT</p> <p><em>panels C, D and E</em>:</p> <p>- main_F3CDE_CytK_E2-D4_rep1</p> <p>- main_F3CDE_CytK_E2-D4_rep2</p> <p>- main_F3CDE_CytK_E2-D4_rep3</p> <p>and files linked to the supporting information <strong>Figure S20</strong>:</p> <p>- SI_S20_ABC_CytK_E2-D4_TZA11_rep1</p> <p>- SI_S20_ABC_CytK_E2-D4_TZA11_rep2</p> <p>- SI_S20_ABC_CytK_E2-D4_TZA11_rep3</p>
Millions of lung tumors harboring KRAS, BRAF, EGFR, and tumor suppressor alterations from genetically engineered mouse models
<p><span>Tumors acquire alterations in oncogenes and tumor suppressor genes in an adaptive walk through the fitness landscape of tumorigenesis. However, the <a>interactions </a></span><span>between oncogenes and tumor suppressor genes that shape this landscape remain poorly resolved and cannot be revealed by human cancer genomics alone. Here, we use a multiplexed, autochthonous mouse platform to model and quantify the initiation and growth of more than one hundred genotypes of lung tumors across four oncogenic contexts: KRAS G12D, KRAS G12C, BRAF V600E, and EGFR L858R. We show that the fitness landscape is rugged—the effect of tumor suppressor inactivation often switches between beneficial and deleterious depending on the oncogenic context—and shows no evidence of diminishing-returns epistasis within variants of the same oncogene. These findings argue against a simple linear signaling relationship amongst these three oncogenes and imply a critical role for off-axis signaling in determining the fitness effects of inactivating tumor suppressors.</span></p>
ScienceDex guides
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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.