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4,230 results for “Energie”
Energy Savings Related to Green Infrastructure in Valladolid city
<p>Improved green infrastructure results in energy savings through a variety of mechanisms. These include:</p> <ul> <li>Reducing the need to heat buildings by insulating them against the cold</li> <li>Reducing the need to cool buildings by insulating them against the heat</li> <li>Reducing the volume of stormwater entering the sewer system, thus reducing energy consumption in sewage processing</li> </ul> <p>The energy savings resulting from these three mechanisms are estimated by GI-Val <a href="#_ftn1">[</a><a href="https://www.merseyforest.org.uk/gi-val/">https://www.merseyforest.org.uk/gi-val/</a><a href="#_ftn1">]</a> tools 1.1, 1.5 and 2.1 respectively. </p>
Inconel 718 two ways: Powder Bed Fusion vs. Directed Energy Deposition
<p>Raw data associated with a paper submission.<br> "Inconel 718 two ways: Powder Bed Fusion vs. Directed Energy Deposition" submitted to Additive Manufacturing Letters.</p> <p>Contained are all the raw data used in the analysis, as well as csv's of any data plotted in graphs.</p> <p>Raw coaxial images captured during printing of various processing parameters<br> Optical Micrographs from which melt pool size and PDAS were measured<br> EBSD scans (.crc and .oip) of all disucssed samples<br> Raw Hardness Data<br> Position/Power logs from the build</p>
Core-Hole Spectroscopy of Energy Conversion and Storage-Related Phosphorus Compounds Using Soft and Hard X rays (Experimental XANES dataset)
<p>Dear readers,</p> <p>In the following, we provide the complete experimental X-ray absorption near-edge structure (XANES) spectroscopy dataset given in our investigation of: "Core-Hole Spectroscopy of Energy Conversion and Storage Related-Phosphorus Compounds Using Soft and Hard X-rays". This dataset includes partial fluorescence yield (PFY)-XANES at P <em>K</em>-edge and P <em>L</em><sub>2,3</sub>-edge of 9 solid P-containing compounds with different chemical environments and oxidation states ranging from P(-III) to P(V), namely: GaP, InP, red phosphorus (Red-P), H<sub>3</sub>PO<sub>3</sub>, Na<sub>2</sub>H<sub>2</sub>P<sub>2</sub>O<sub>6</sub>, H<sub>3</sub>PO<sub>4</sub>, KH<sub>2</sub>PO<sub>4</sub>, Na<sub>2</sub>HPO<sub>4</sub>, InPO<sub>4</sub>. Additionally, P <em>K</em>-edge XANES spectra of aqueous P-containing acids: 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>4</sub>, 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>3</sub>, as well as the solution mixture of 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>3</sub> + 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>4</sub>, and 0.1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>3</sub> + 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>4</sub>.</p>
Data Sources for Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries
<p><strong>Dataset Name:</strong><br> <em>Literature Data and Archetype Parameter Sheets for the publication, named Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries</em>.</p> <p><strong>Description:</strong><br> This dataset includes Excel sheets containing literature sources and archetypal data on GCC countries' residential dwelling typologies.</p> <p><strong>Files:</strong><br> The following files are included in the dataset:</p> <ul> <li> <em>[CountryName]_LiteratureSources.xlsx:</em> Excel sheet containing literature sources and references,</li> <li> <em>[CountryName]_ArchetypeParameters.xlsx</em>: Archetype models' semantic, geometric, and technical data used in the generation of energy models,</li> <li> <em>[CountryName]_Schedules.xlsx:</em> Excel sheet containing the operation schedules for countries. The sheet is compiled from literature sources and reorganized by expert consensus and given in Designbuilder input format,</li> <li> <em>[CountryName]_Stock.xlsx:</em> Excel sheet containing additional data on the building stock,</li> <li><em> VacantHouses.xlsx</em>: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,</li> </ul> <p><strong>Usage:</strong><br> The dataset is intended for researching and analyzing the GCC countries' residential buildings. The literature sources included in the [CountryName]_LiteratureSources.xlsx and [CountryName]_ArchetypeParameters.xlsx files can be used to verify, support, or reproduce the research findings.</p> <p><strong>License:</strong><br> The dataset is licensed under Creative Commons Attribution 4.0 International.</p> <p><strong>Citation:</strong><br> If you use this dataset in your research, please cite it as follows and contact the corresponding author:</p> <p>Akin, Sahin, Chibuikem Chrysogonus Nwagwu, Niko Heeren, and Edgar Hertwich. 2023. “Archetype-Based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries.” Energy and Buildings 298: 113537. https://doi.org/https://doi.org/10.1016/j.enbuild.2023.113537.</p> <p><strong>Contact:</strong><br> The archetypes' energy models (DesignBuilder or IDF files) can be provided on request. If you have any questions or comments about the dataset, please contact <strong>sahin.akin@ntnu.no, the corresponding author.</strong></p>
Integration of Renewable Energy Sources into the Water-Energy-Food (WEF) Nexus – Modelling a Demand Side Management Approach and Application to a Microgrid Farm in Morocco Dataset
<p>Here you can find the official data used for the publication "Integration of Renewable Energy Sources into the Water-Energy-Food (WEF) Nexus – Modelling a Demand Side Management Approach and Application to a Microgrid Farm in Morocco"</p> <p>If you want to run the model, please update line 11 in the run.jl file, to select the dataset from the scenario you want to look at. It is also recommended to change the result path, to a directory that corresponts to the current model run in order to find the results files quicker.</p> <p> </p> <p>To create a new plot a file called newPlot.jl can be found, that already take care of most data handling, only lines 136 and 141 need to be changed, in order to read in the result files of the results you want to investigate.</p>
The contribution of plasma sheet bubbles to stormtime ring current buildup and evolution of the energy composition
<p>Supporting information for "The contribution of plasma sheet bubbles to stormtime ring current buildup and evolution of the energy composition" by Sciola et al. 2023 submitted to the Journal of Geophysical Research: Space Physics</p>
Raw output data for "Chemical design of electronic and magnetic energy scales of tetravalent praseodymium materials", DOI: 10.1038/s41467-023-38431-7
<p>This repository contains output data from the first-principles calculations reported in the following article:</p> <p><strong>Authors:</strong> Arun Ramanathan, Jensen Kaplan, Dumitru-Claudiu Sergentu, Jacob A. Branson, Mykhaylo Ozerov, Alexander I. Kolesnikov, Stefan G. Minasian, Jochen Autschbach, John W. Freeland, Zhigang Jiang, Martin Mourigal, Henry S. La Pierre</p> <p><strong>Title:</strong> Chemical Design of Electronic and Magnetic Energy Scales in Tetravalent Praseodymium</p> <p><strong>Published in</strong> Nature Communications at: https://doi.org/10.1038/s41467-023-38431-7</p> <p><strong>Preprint on</strong> arXiv at: https://doi.org/10.48550/arXiv.2212.10401</p> <p><strong>Description:</strong></p> <p>The archive contains raw output files generated from quantum chemistry calculations conducted using the OpenMolcas program. OpenMolcas is a freely available program that can be accessed at <a href="https://gitlab.com/Molcas/OpenMolcas">https://gitlab.com/Molcas/OpenMolcas</a>. For specific details about the content of the archive, please refer to the '00README' file included in the archive.</p> <p> </p> <p> </p>
Dataset of the Journal article "Energy duty in direct contact membrane distillation of hypersaline brines operating at the water-energy nexus"
<p>This repository contains the Dataset of the Journal article "Energy duty in direct contact membrane distillation of hypersaline brines<br> operating at the water-energy nexus" published on Journal of Membrane Science. </p>
The Role of Roofing Structure in Energy Efficiency: Strategies for a Greener Home
<p>In the pursuit of a greener and more sustainable lifestyle, energy efficiency plays a crucial role. Among the various components of a home, the roofing structure plays a significant part in reducing energy consumption and maximizing energy efficiency. A well-designed and properly installed roofing structure can contribute to improved insulation, reduced heat transfer, and optimized ventilation, resulting in a more energy-efficient home.</p> <p>In this article, we will explore the essential role of the roofing structure in energy efficiency and discuss strategies for creating a greener home. From choosing the right roofing materials to implementing insulation techniques and promoting proper ventilation, homeowners can take proactive steps to enhance their home's energy performance and minimize environmental impact. Let's delve into the key strategies for optimizing energy efficiency through a well-designed roofing structure.</p> <p>Roofing Materials and Insulation</p> <p>The choice of roofing materials and insulation is crucial in creating an energy-efficient <a href="https://seco.pk/service/roofing-structure/"><strong>roofing structure</strong></a>. Opting for materials with high thermal resistance, such as reflective roof coatings, cool roofs, or energy-efficient shingles, can help reduce heat absorption and minimize heat transfer into the living space. These materials reflect a significant portion of solar radiation, keeping the interior cooler during hot summers and reducing the reliance on air conditioning.</p> <p>Proper insulation is equally important in preventing heat loss during colder months. Installing insulation materials, such as foam insulation boards or fiberglass batts, beneath the roof can significantly improve thermal performance and reduce energy consumption for heating.</p> <p>Ventilation and Air Circulation</p> <p>Adequate ventilation and air circulation are essential for maintaining a comfortable indoor environment and optimizing energy efficiency. Roofing structures should incorporate ventilation systems that allow for the exchange of fresh air while removing excess heat and moisture. This helps regulate temperature and humidity levels, reducing the need for artificial cooling and dehumidification.</p> <p>Different ventilation strategies, such as ridge vents, soffit vents, or attic fans, can be employed to promote natural airflow and prevent the accumulation of hot air in the attic or roof space. Proper ventilation also helps prevent the formation of moisture-related issues, such as mold or rot, which can negatively impact both energy efficiency and indoor air quality.</p> <p>Solar Energy Harvesting</p> <p>Roofing structures can play a dual role by not only protecting the home but also serving as a platform for harnessing solar energy. Installing solar panels on the roof allows homeowners to generate clean and renewable energy, reducing reliance on traditional power sources and lowering utility bills. Solar energy systems can be integrated into the roofing structure, maximizing sun exposure and optimizing energy production.</p> <p>When considering solar energy harvesting, it's essential to ensure proper alignment, orientation, and shading analysis to maximize energy generation potential. Consulting with solar energy experts or roofing professionals can help determine the most efficient and effective solar panel placement on the roofing structure.</p> <p>Regular Maintenance and Inspections</p> <p>Regular maintenance and inspections are vital to preserving the integrity and energy efficiency of the roofing structure. Periodic roof inspections can identify potential leaks, damaged insulation, or deteriorating materials that may compromise energy performance. Timely repairs or replacements can prevent energy losses and maintain the efficiency of the roofing system.</p> <p>Additionally, keeping the roof clean from debris, leaves, or algae growth can contribute to better solar reflectance and prevent moisture retention, which can impact insulation properties. Regular maintenance, including gutter cleaning and roof surface treatments, ensures that the roofing structure functions optimally and maintains its energy-efficient characteristics.</p> <p>Conclusion</p> <p>A well-designed and properly maintained roofing structure plays a crucial role in optimizing energy efficiency in a home. By carefully selecting energy-efficient roofing materials, implementing insulation techniques, promoting proper ventilation, and considering solar energy harvesting, homeowners can create a greener and more sustainable living space.</p> <p>Investing in energy-efficient roofing structures not only reduces energy consumption and utility costs but also minimizes environmental impact. The strategies discussed in this article empower homeowners to take proactive steps towards creating an energy-efficient home, contributing to a greener future. By prioritizing energy efficiency in roofing structures, we can enhance the comfort, sustainability, and long-term value of our homes while making a positive impact on the planet.</p>
Datasets for Work "Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction"
<p>RHEED raw dataset and Gaussia fitting parameter dataset for samples "treated_213nm", "treated_81nm" and "untreated_162nm" in the work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
Extended ensemble molecular dynamics study of ammonia–cellulose I complex crystal models: free-energy landscape and atomistic pictures of ammonia diffusion in the crystalline phase.
<p>The data deposited here accompany the manuscript "Extended ensemble molecular dynamics study of ammonia–cellulose I complex crystal models: free-energy landscape and atomistic pictures of ammonia diffusion in the crystalline phase" and include the molecular dynamics trajectories and the AMBER topology (parm) files. Detailed file contents are summarized in the README file.</p>
Dataset associated with publication "Direct observation of coherence transfer and rotational-to-vibrational energy exchange in optically centrifuged CO2 super-rotors" to be published in Nature Communications
<p>This dataset contains all data to compose figures in the associated manuscript. Some of the images are presented in MatLab .mat files. If a different format is needed, please contact the corresponding author. </p>
Data from: Rainforest conversion to plantations fundamentally alters energy fluxes and functions in canopy arthropod food webs
<p><span>Tropical rainforests around the world are rapidly being converted into cash-crop agricultural systems. The associated massive losses of plant and animal species lead to changes in arthropod food webs and the energy fluxes therein. These changes are poorly understood, in particular in the extremely biodiverse canopies of tropical ecosystems. Using canopy fogging followed by stable isotope and energy flux analyses, we show that land-use conversion from rainforest to rubber and oil palm plantations not only causes a drastic reduction in energy fluxes of up to 75% but also shifts fluxes among trophic groups. While rainforests featured high levels of both herbivory and algae-microbiology, and a balanced ratio of herbivory to predation, relative fluxes were shifted towards predation in rubber and towards herbivory in oil palm plantations, indicating profound shifts in ecosystem functioning. Our results highlight that the ongoing loss of animal biodiversity and biomass in tropical canopies degrades animal-driven functions and restructures canopy food webs.</span></p>
SapphireEnergyIABR: Data from the Sapphire Energy Integrated Algal BioRefinery
<p>This dataset includes previously unpublished information collected during the operation of the Sapphire Energy Integrated Algal BioRefinery.</p> <p><strong>Terms of Use:</strong> These data are provided as is, without any warranties of any kind. A bibliographic citation should be included in the References section of publications and other media to acknowledge the authors of this dataset. Proper citations include the authors, title, publisher, and Digital Object Identifier (DOI) and will allow the products to be discovered and re-used by others.</p>
Data and software: 'Survey Operations for the Dark Energy Spectroscopic Instrument'
<p>Supplementary material to the DESI publication "Survey Operations for the Dark Energy Spectroscopic Instrument".</p><p>The main "figures.py" script generates the figures in the paper from the included data files. The software relies on the DESI software stack available at github.com/desihub, and conveniently available at NERSC in the default DESI environment.</p><p>Some documentation on the code implementing the survey and for running the survey simulations is available here:</p><ul><li>https://desisurvey.readthedocs.io/en/latest/</li><li>https://surveysim.readthedocs.io/en/latest/</li></ul><p>Contents:</p><ul><li>Configuration files<ul><li>config-main-actual.yaml: a yaml file giving the configuration for the survey simulation software (https://github.com/desihub/surveysim/releases/tag/0.12.5), specifying things like interexposure times and downtime, using the actual long shutdowns we had.</li><li>config-main-nominal.yaml: a yaml file giving the configuration for the survey simulation software, using the nominal long shutdowns we planned for.</li><li>config-main.yaml: same as config-main-nominal.yaml, except with the default name looked for by the survey simulation software.</li><li>rules-main.yaml: configuration rules file controlling how the next tile selector selects files for observation, implementing our depth-first strategy.</li></ul></li><li>Software files<ul><li>figures.py: main routines for generating the plots in this publication. Running `python figures.py` will create all of the figures used in this paper.</li><li>precess.py: set of routines implementing the precession of the Earth's pole used by figures.py for accurate airmass calculations.</li><li>downtime.py: routines used by figures.py for computing statistics about DESI's time usage, in particular the downtime.</li><li>util_efs.py: utility routines, primarily for making plots used by figures.py</li><li>util_efs_c.pyx: cython routines used by util_efs.py</li><li>margincomputations.py: routines for computing survey margin; i.e., how well we did relative to how much time was available.</li></ul></li><li>Data files<ul><li>Survey<ul><li>exposures-daily-main-20220614.ecsv: list of main survey exposures taken through 2022-06-14, following processing by the offline pipeline.</li><li>exposures-20220614.ecsv: list of main survey exposures taken through 2022-06-14, before processing by the offline pipeline. This largely duplicates exposures-daily, but contains much less information and contains more records for rare cases when exposures cannot be processed by the offline pipeline.</li><li>tiles-4112-packing-20210405-decorated-fixed.fits: file giving the geometry of DESI tile centers on the sky, plus associated information, like the extinction and stellar density at those locations.</li><li>tiles-daily.csv</li></ul></li><li>Simulation<ul><li>ephem_2019-01-01_2027-12-31.fits: ephemerides for DESI site for 2019 through 2027, generated by the desisurvey software ephemerides module. https://github.com/desihub/desisurvey</li><li>desi-status-end-nominal.ecsv: tile file giving completion of each DESI tile, for a survey simulation using the nominal configuration file.</li><li>desi-status-end-actual-noslew.ecsv: tile file giving completion of each DESI tile, for a survey simulation using the actual configuration file, without slew optimization</li><li>desi-status-end-actual.ecsv: tile file giving the completion of each DESI tile, for a survey simulation using the actual configuration file.</li><li>exposures_actual-noslew.fits: exposures generated by survey simulation software using the 'actual' configuration, with slew optimization disabled.</li><li>exposures_actual.fits: exposures file generated by survey simulation software using the 'actual' configuration.</li><li>exposures_nominal.fits: exposures file generated by survey simulation software using the 'nominal' configuration.</li><li>stats_actual.fits: statistics file generated by survey simulation software using the 'actual' configuration, containing information about DESI time usage.</li><li>stats_actual-noslew.fits: same as stats_actual.fits, except with slew time optimization disabled.</li><li>stats_nominal.fits: same as stats_actual.fits, except with the nominal survey sim configuration file.</li><li>tiles-daily.csv: tile file with detailed information on all tiles completed by the survey</li><li>tiles-main-20220614.ecsv: tile file with tile completeness information on 20220614</li><li>tiles-main.ecsv: tile file with completeness information on tiles in the survey</li><li>performance_current.csv.gz: performance information detailing state of DESI instrument every second, used for tracking downtime statistics.</li></ul></li></ul></li></ul><p>Dependencies: The included software uses the 'surveysim,' 'desisurvey,' and 'desimodel' packages, available on github through the desihub organization. Otherwise it depends on the usual astronomy software stack: numpy scipy matplotlib astropy. Alternatively, people with access to NERSC can load the default DESI environment and pull in all needed dependencies.</p>
Characterizing the Folding Transition State Ensembles in the Energy Landscape of an RNA Tetraloop - available data.
<p>Trajectory file and scripts necessary to generate an ELViM [Oliveira, A. B.; Yang, H.; Whitford, P. C.; Leite, V. B. P. JCTC, 2019, 15, p.6482] projection of the conformational space for the GCAA tetraloop.</p>
Data for: Coupling dynamic energy budget and population dynamic models to inform stock enhancement in fisheries management
<p><span>Extensive applications of fishery stock enhancement worldwide bring up broad concerns about its negative effects, creating a pivotal need for science-based assessment and planning of enhancement strategies. However, the lack of mechanistic understanding of enhanced population dynamics, particularly the density-dependent processes, leads to compromise in model development and limits the capacity in predicting enhancement effects. Here, we developed an individual-based model based on dynamic energy budget theory and full life history processes, to understand the mechanism of density dependence in population dynamics that emerge from individual-level processes. We demonstrated the utility of the model framework by applying it </span><span>to an extensively enhanced species, Chinese prawn (<em>Fenneropenaeus chinensis</em></span><span>, Penaeidae</span><span>). The model could yield projections reflecting the observed trajectory of population biomass and yields. The model also delineated the key effects of density dependence on the vital rates of growth, fecundity, and starvation mortality. Regarding the manifold effects of stock enhancement, we demonstrated a dampened shape in population biomass and yields with increasing magnitude of enhancement, and trade-offs between the ecological and economic objectives, i.e., pursuing high benefit might compromise the wild population without proper management. Furthermore, we illustrated the possibility of combining stock enhancement and harvest regulation in promoting population recovery while maintaining fisheries yields. We highlight the potential of the proposed model for understanding density dependence in enhancement program, and for designing integrated management strategies. The approach developed herein may serve as a general approach to assess the population dynamics in stock enhancement and inform enhancement management.</span><span> </span></p>
Probono - Systematic Review - Energy-related behaviours of building occupants.
<p>This database covers the relevant literature on energy-related behaviours of building occupants, based on a systematic interrogation of existing research from 2018-2022. Data is collected and presented on the study location, research method, building type and type of occupants, occcupants behaviour, etc. This dababase allows for investigating where occupant behaviours are likely to be most prevalent and targetable for future research in Probono.</p>
Supporting material of "A nonequilibrium alchemical method for drug-receptor absolute binding free energy calculations: the role of restraints"
<p>Supporting material of the paper "A nonequilibrium alchemical method for drug-receptor absolute binding free energy calculations: the role of restraints".</p> <p>The directory is fully documented with README files.</p> <p>Differences of V2.0 with V1.0:</p> <ul> <li>Due to a software bug we had to re-parametrize the ligands whose torsions were parametized with ANI-2.X (ligand 6 and 7).</li> <li>During the peer reviewing process we also parametrized with ANI-2.X and docked ligand 8.</li> </ul>
HEMStoEC: Home Energy Management Systems to Energy Communities DataSet
<p>The building sector is responsible for about 1/3 of all final energy consumed in the world. It is also responsible for about 30 % of CO<sup>2</sup> emissions from the end-use sector when accounting for indirect emissions from the use of electricity and heat in buildings. Focusing on EU, the use of electricity to satisfy the loads of lighting and most electrical appliances represents about 14.5 % of the energy consumed in residential sector, excluding heating and cooling systems, and 24.8 % including the latter. Therefore, we are in the presence of a sector that has a significant weight in the final energy consumption figures. Thus, innovative energy initiatives should contribute towards reducing energy consumption, reducing the effects on the climate, and achieving greater energy efficiency. These initiatives begin to emerge to a certain extent from small consumers, as they become more aware of environmental issues, either isolated or grouped in an energy community, where generated or stored energy is shared between stakeholders. In addition, energy markets go through a transition period and begin to give way, recognize, and promote the emerging role of prosumers (producers+consumers).</p> <p>It is within this context that this dataset is introduced. It allows, for a single prosumer, to:</p> <ol> <li>Test and validate different control strategies for home energy management systems;</li> <li>Design forecasting energy consumption models;</li> <li>Design forecasting PV energy generation models;</li> <li>Test and validate different non-invasive load monitoring (NILM) algorithms;</li> <li>Design forecasting thermal comfort models, as well as test and validate control strategies for Heating, Ventilation and Air Conditioning (HVAC) systems.</li> </ol> <p>Additionally, for a community of 4 houses, it allows to:</p> <ol> <li>Test and validate different control strategies for the community energy management system;</li> <li>Design forecasting community energy consumption models;</li> <li>Test and validate transfer learning strategies for NILM.</li> </ol> <p>The data, spanning more than three years, is stored in Matlab -v7 format, . This allows to be read by other languages, such as python.</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.