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1,751 results for “Future”
Marine primary producers in a darker future – a meta-analysis of light effects on pelagic and benthic autotrophs
<p><span>The availability of underwater light, as the primary energy source for all aquatic photoautotrophs, is (and will further be) altered by changing precipitation, water turbidity, mixing depth, and terrestrial input of chromophoric dissolved organic matter (CDOM). While experimental manipulations of CDOM input and turbidity are frequent, they often involve multiple interdependent changes (light, nutrients, C-supply). To create a baseline for the expected effects of light reduction alone, we performed a weighted meta-analysis on 240 published experiments (from 108 studies yielding 2,500 effect sizes) that directly reduced light availability and measured marine autotroph responses. Across all organisms, habitats, and response variables, reduced light led to an average 23% reduction in biomass-related performance, whereas the effect sizes on physiological performance did not significantly differ from zero. Especially pigment content increased with reduced light, which indicated strong physiological plasticity in response to diminished light. This acclimation potential was also indicated by light reduction effects minimized if experiments lasted longer. Nevertheless, performance (especially biomass accrual) was reduced the more the less light intensity remained available. Light reduction effects were also more negative at higher temperatures if ambient light conditions were poor. Macrophytes or benthic systems were more negatively affected by light reduction than microalgae or plankton systems, especially in physiological responses where microalgae and plankton showed slightly positive responses. Otherwise, effect magnitudes remained surprisingly consistent across habitats and aspects of experimental design. Therefore, the strong observed log-linear relationship between remaining light and autotrophic performance can be used as a baseline to predict marine primary production in future light climate.</span></p>
Past and future weather extremes across Europe
<pre><strong>Past and future weather extremes across Europe </strong> This repository contains the annual exceedance index data for past and future weather extremes across Europe on NUTS1 scale. The code and an accompanying paper analyzing the impact of this weather extremes on the European agricultural sector on subnational scale will be published during 2023. We use a percentile-based approach to assess the annual exceedance index of the four weather extremes heat waves, cold waves, fire-risk and droughts for the past (1981–2020) and future (2006–2100) [<em><strong>Zhang</strong></em> et al., 2005]. For the past, we used daily weather records on a grid level (around 11 km at the equator) from the <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview">ERA5-Land</a> reanalysis dataset, and for future projections, we use modelled daily weather records from <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/projections-cordex-domains-single-levels?tab=overview">EURO-CORDEX</a> [<em><strong>Christensen</strong></em> et al., 2020, <em><strong>Muñoz</strong></em>, 2019]. For past and future fire-risk we use precalculated fire weathernindex data from <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-fire-historical?tab=overview">ERA5</a> and <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-tourism-fire-danger-indicators?tab=overview">EURO-CORDEX</a>, respectively [<em><strong>Giannakopoulos</strong></em> et al., 2020]. We used the model average of the following driving GCMs and RCMs for future projections: ICHECs Earth System Model (EC-Earth), MPI-Ms Earth System Model (MPI-ESM-LR), SMHIs Regional Climate Model (RCA4). The baseline period for the historical scenario is 1981–2010, and for future projections 1981–2005. Daily thresholds for heat waves, cold waves, and flash droughts are estimated from the 90th percentile of the daily minimum and maximum temperature, 10th percentile of the daily minimum and maximum temperature, and 30th percentile of the soil volumetric water content (0–28cm), respectively [**Sutanto** et al., 2020]. We use a five days centre data window for all three extreme events to estimate the thresholds from the previously listed baseline periods. The annual exceedance index for heat waves is calculated as the sum of days, at least for three consecutive days; the daily temperature values exceed the thresholds for June, July, and August. For cold waves, the annual exceedance index is the sum of days, at least for three consecutive days; the daily temperature values are below the thresholds for January, February, October, November, and December. In-base, exceedance is calculated using bootstrapping (1000x repetitions) for both extreme events. Heat and cold wave exceedance indices are rescaled to NUTS1 regions using a maximum resampling. We use sequent peak analysis to detect annual flash droughts, remove minor droughts, and pool interdependent droughts for the season from June to October [**Biggs** et al., 2004]. The annual exceedance index of droughts is rescaled to NUTS1 regions by using a mean resampling. Parameters for fire-risk are listed in the table below while. </pre> <table> <caption>Parameters of the analysis of the percentile-based extreme.</caption> <thead> <tr> <th scope="col">Type</th> <th scope="col">Variable</th> <th scope="col">Percentile</th> <th scope="col">Window</th> <th scope="col">Min duration</th> <th scope="col">Rescaling</th> <th scope="col">Months</th> <th scope="col">Bootstrapping</th> </tr> </thead> <tbody> <tr> <td>Heat wave</td> <td>tmin and tmax</td> <td>90</td> <td>5</td> <td>3</td> <td>max</td> <td>6, 7, 8</td> <td>yes</td> </tr> <tr> <td>Cold wave</td> <td>tmin and tmax</td> <td>10</td> <td>5</td> <td>3</td> <td>max</td> <td>1, 2, 10, 11, 12</td> <td>yes</td> </tr> <tr> <td>Flash drought</td> <td>swvl 0-28cm</td> <td>30</td> <td>5</td> <td>5</td> <td>mean</td> <td>6, 7, 8, 9, 10</td> <td>no</td> </tr> <tr> <td>Fire risk</td> <td>FWI</td> <td>90</td> <td>5</td> <td>1</td> <td>mean</td> <td>3, 4, 5, 6, 7, 8, 9</td> <td>yes</td> </tr> </tbody> </table> <pre>Xuebin <em><strong>Zhang</strong></em>, Gabriele Hegerl, Francis W. Zwiers, and Jesse Kenyon. Avoiding inhomogeneity in percentile-based indices of temperature extremes. Journal of Climate, 18 (11):1641–1651, 2005. ISSN 08948755. doi: 10.1175/JCLI3366.1. Samuel Jonson <em><strong>Sutanto</strong></em>, Claudia Vitolo, Claudia Di Napoli, Mirko D’Andrea, and Henny A.J. Van Lanen. Heatwaves, droughts, and fires: Exploring compound and cascading dry hazards at the pan-European scale. Environment International, 134 (March 2019):105276, jan 2020. ISSN 01604120. doi: 10.1016/j.envint.2019.105276. J. Sabater <em><strong>Muñoz</strong></em>. ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), 2019. O. B. <em><strong>Christensen</strong></em>, W. J. Gutowski, G. Nikulin, and S. Legutke. CORDEX Archive Design, 2020. URL https://is-enes-data.github.io/cordex_archive_specifications.pdf Barry J. F. <em><strong>Biggs</strong></em>, Bente Clausen, Siegfried Demuth, Miriam Fendeková, Lars Gottschalk, Alan Gustard, Hege Hisdal, Matthew G. R. Holmes, Ian G. Jowett, Ladislav Kašpárek, Artur Kasprzyk, Elzbieta Kupczyk, Henny A.J. Van Lanen, Henrik Madsen, Terry J. Marsh, Bjarne Moeslund, Oldřich Novický, Elisabeth Peters, Wojciech Pokojski, Erik P. Querner, Gwyn Rees, Lars Roald, Kerstin Stahl, Lena M. Tallaksen, and Andrew R. Young. Hydrological Drought: Processes and Estimation Methods for Stream- flow and Groundwater. Elsevier, 1 edition, 2004. ISBN 0444517677. <em><strong>Giannakopoulos</strong></em>, C., Karali, A., Cauchy, A. (2020): Fire danger indicators for Europe from 1970 to 2098 derived from climate projections, version 1.0, Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.ca755de7 <strong>Funding</strong> Tobias Seydewitz acknowledges funding from the German Federal Ministry of Education and Research for the [BIOCLIMAPATHS](https://www.pik-potsdam.de/en/output/projects/all/647) project (grant agreement No 01LS1906A) under the Axis-ERANET call. The funders had no role in study design, data collection, analysis, decision to publish, or manuscript preparation. </pre>
Future supply of boreal forest ecosystem services is driven by management rather than by climate change
<p><span>Forests provide a wide variety of ecosystem services (ES) to society. The boreal biome is experiencing the highest rates of warming on the planet and increasing demand for forest products. To foresee how to maximize the adaptation of boreal forests to future warmer conditions and growing demands of forest products, we need a better understanding of the relative importance of forest management and climate change on the supply of ecosystem services. Here, using Finland as a boreal forest case study, we assessed the potential supply of a wide range of ES (timber, bilberry, cowberry, mushrooms, carbon storage, scenic beauty, species habitat availability and deadwood) given seven management regimes and four climate change scenarios. We used the forest simulator SIMO to project forest dynamics for 100 years into the future (2016–2116) and estimate the potential supply of each service using published models. Then, we tested the relative importance of management and climate change as drivers of the future supply of these services using generalized linear mixed models. Our results show that the effects of management on the future supply of these ES were, on average, eleven times higher than the effects of climate change across all services but greatly differed among them (from 0.53 to 24 times higher for timber and cowberry, respectively). Notably, the importance of these drivers substantially differed among biogeographical zones within the boreal biome. The effects of climate change were 1.6 times higher in northern Finland than in southern Finland, whereas the effects of management were the opposite – they were three times higher in the south compared to the north. We conclude that new guidelines for adapting forests to global change should account for regional differences and the variation in the effects of climate change and management on different forest ES.</span></p>
Multi-gene phylogeny of North American clear-winged moths (Lepidoptera: Sesiidae): A foundation for future evolutionary study of a speciose mimicry complex
<p>Sesiids are a diverse group of predominantly diurnal moths, many of which are Batesian mimics of Hymenoptera. However, their diversity and relationships are poorly understood. A multi-gene phylogenetic analysis of 48 North American sesiid species confirmed the traditional taxonomic tribal ranks, demonstrated the paraphyly of <em>Carmenta</em> and <em>Synanthedon</em> with respect to several other genera, and ultimately provided minimal phylogenetic resolution within and between North American and European groups. Character support from each gene suggested inconsistency between the phylogenetic signal of the <em>CAD</em> gene and that of the other four genes. However, removal of <em>CAD</em> from subsequent phylogenetic analyses did not substantially change the initial phylogenetic results or return <em>Carmenta</em> and <em>Synanthedon</em> as reciprocally monophyletic, suggesting it was not impacting the overall phylogenetic signal. The lack of resolution using genes that are typically informative at the species level for other lepidopterans suggests a surprisingly rapid radiation of species in <em>Carmenta</em>/<em>Synanthedon</em>. This group also exhibits a wide range of mimicry strategies and hostplant usage, which could be fertile ground for future study.</p>
The timings of host diapause and epidemic progression mediate host genetic diversity and future epidemic size in Daphnia-parasite populations
<p>Epidemics commonly exert parasite-mediated selection and cause declines in host population genetic diversity. This could lead to evolution of resistance in the long-term and smaller subsequent epidemics. Alternatively, the loss of genetic diversity could increase host vulnerability to future disease spread and larger future epidemics. Matters are made more complex by the fact that a great many host organisms produce diapausing life stages in response to environmental change (often as a result of sexual reproduction) e.g., plant seeds and invertebrate resting eggs. These diapausing stages can disrupt the relationship between past epidemics, host genetic diversity and future epidemics because they allow host dispersal through time. Specifically, temporally dispersing hosts avoid infection and thus selection from contemporary parasites, and also archive genetic variation for the future. We studied 80 epidemics in 20 semi-natural populations of the temporally dispersing crustacean Daphnia magna and its sterilising bacterial parasite Pasteuria ramosa, and half of these populations experienced a simulated environmental disturbance treatment. We found that early initiation of diapause relative to the timing of the epidemic led to greater host genetic diversity and reduced epidemic size in the subsequent year, but this was unaffected by environmental disturbance.</p>
Figures for Designing a future-proof gas and hydrogen infrastructure for Europe – a modelling-based approach
<p>hydrogen_production_consumption_inputs: includes hydrogen assumptions for three scenarios (Electrification, Hydrogen, E-fuels) and three corner years (2030,2040,2050) on hydrogen production and consumption per country (EU27+NO+CH)</p> <p>Gas_and_hydrogen_infrastructure_figures: inlcudes figures and tables from the article "Kotek - Selei - Tóth (2023): Designing a future-proof gas and hydrogen infrastructure for Europe – a modelling-based approach."</p> <p>Figure 1: Gas (including biomethane and biogases and e-methane) and hydrogen demand (EU-27)<br> Figure 2: Hydrogen consumption and production in the modelled countries for the Hydrogen 80 scenario in 2050, TWh/year<br> Figure 3: Decision tree for hydrogen investment need estimation<br> Figure 4: Annualised CAPEX, OPEX, and variable system costs<br> Figure 5: Hydrogen transmission infrastructure by 2050, Elec_80 scenario<br> Figure 6: Hydrogen transmission infrastructure by 2050, E-Fuel_80 scenario<br> Figure 7: Hydrogen transmission infrastructure by 2050, H2_80 scenario<br> Figure 8: Utilisation of gas transport network (flow/capacity %) (Source: REKK modelling. Red bars indicate capacity<br> Table 1: Summary of studies on hydrogen infrastructure<br> Table 2: Total investment need of the hydrogen network, bn EUR/yr (EU-27)<br> Table 3: OPEX need for the hydrogen network, Bn EUR/yr (EU-27)<br> Table 4: Variable system costs of the gas network (EU-27)<br> Table 5: Variable system costs of the hydrogen network (EU-27)<br> Table 6: CAPEX modelled for 2020 until 2050 (EU-27+CH+NO+UK), Bn EUR<br> Table 7: Length and composition of hydrogen transmission pipelines (EU-27)<br> Table 8: Total modelled hydrogen blending (TWh/year), (EU-27+CH+NO+UK)<br> Table 9: Internal trade of gas and hydrogen in the European infrastructure by 2050, TWh/year, (EU-27+CH+NO+UK)<br> Table 10: Utilization indicators for gas transmission pipelines (EU-27+UK+NO+CH)<br> Table 11: Hydrogen transport costs assumed, EUR/MWh<br> Table 12: Gas transport costs assumed, EUR/MWh</p> <p> </p>
Future drought-induced tree mortality risk in Amazon rainforest
<p>ORCHIDEE-CAN-NHA simulation outputs of aboveground biomass carbon gain and carbon loss, forced by four climate models from ISIMIP2b program</p>
Data from: More future synergies and less trade‐offs between forest ecosystem services with natural climate solutions instead of bioeconomy solutions
<p>To reach the Paris Agreement, societies need to increase the global terrestrial carbon sink. There are many climate change mitigation solutions (CCMS) for forests, including increasing bioenergy, bioeconomy and protection. Bioenergy and bioeconomy solutions use climate-smart, intensive management to generate high quantities of bioenergy and bioproducts. Protection of (semi-)natural forests is a major component of 'natural climate solution' (NCS) since forests store carbon in standing biomass and soil. Furthermore, protected forests provide more habitat for biodiversity and non-wood ecosystem services (ES). We investigated the impacts of different CCMS and climate scenarios, jointly or in isolation, on future wood ES, non-wood ES, and regulating ES for a major wood provider for the international market. Specifically, we projected future ES given by three CCMS scenarios for Sweden 2020-2100. In the long term, fulfilling the increasing wood demand through bioenergy and bioeconomy solutions will decrease ES multifunctionality, but the increased stand age and wood stocks induced by rising greenhouse gas (GHG) concentrations will partially offset these negative effects. Adopting bioenergy and bioeconomy solutions will have a greater negative impact on ES supply than adopting NCS. Bioenergy or bioeconomy solutions, as well as increasing GHG emissions, will reduce synergies and increase trade-offs in ES. NCS, by contrast, increases the supply of multiple ES in synergy, even transforming current ES trade-offs into future synergies. Moreover, NCS can be considered an adaptation measure to offset negative climate change effects on the future supplies of non-wood ES. In boreal countries around the world, forestry strategies that integrate NCS more deeply are crucial to ensure a synergistic supply of multiple ES.</p>
Narratives on the present and the future in the time of Covid-19 pandemic: Uncertainty, subjective feeling and the role of positive anticipatory states.
<p><strong>Narratives on the present and the future in the time of Covid-19 pandemic: Uncertainty, subjective feeling and the role of positive anticipatory states.</strong></p>
The effect of past defaunation on ranges, niches, and future biodiversity forecasts
<p><span>Humans have reshaped the distribution of biodiversity across the globe, extirpating species from regions otherwise suitable and restricting populations to a subset of their original ranges. Here, we ask if anthropogenic range contractions since the Late Pleistocene led to an under‐representation of the realized niches for megafauna, an emblematic group of taxa often targeted for restoration actions. Using reconstructions of past geographic distributions (i.e., </span><em>natural ranges</em><span>) for 146 extant terrestrial large‐bodied (>44</span><span class="nonbreakingspace"> </span><span>kg) mammals, we estimate their climatic niches as if they had retained their original distributions and evaluate their observed niche dynamics. We found that range contractions led to a sizeable under‐representation of their realized niches (i.e., </span><em>niche unfilling</em><span>). For 29</span><span class="nonbreakingspace"> </span><span>species, more than 10% of the environmental space once seen in their natural ranges has been lost due to anthropogenic activity, with at least 12</span><span class="nonbreakingspace"> </span><span>species undergoing reductions of more than 50% of their realized niches. Eighteen species mainly now be confined to low‐suitability locations, where fitness and abundance are likely diminished; we consider these taxa </span><em>climatic refugees</em><span>. For those species, conservation strategies supported by current ranges risk being misguided if current, suboptimal habitats are considered baseline for future restoration actions. Because most climate‐based biodiversity forecasts rely exclusively on current occurrence records, we went on to test the effect of neglecting historical information on estimates of species' potential distribution – as a proxy of sensitivity to climate change. We found that niche unfilling driven by past range contraction leads to an overestimation of sensitivity to future climatic change, resulting in 50% higher rates of global extinction, and underestimating the potential for megafauna conservation and restoration under future climate change. In conclusion, range contractions since the Late Pleistocene have also left imprints on megafauna realized climatic niches. Therefore, niche truncation driven by defaunation can directly affect climate and habitat‐based conservation strategies.</span></p>
Assessing Future Hydrological Impacts of Climate Change on High-Mountain Central Asia: Insights from a Stochastic Soil Moisture Water Balance Model
<p>Dataset accompanying the publication "Assessing Future Hydrological Impacts of Climate Change on High-Mountain Central Asia: Insights from a Stochastic Soil Moisture Water Balance Model"</p> <p> </p>
ODYM-RECC Copper dataset, used for sector-level estimates for global future copper demand and the potential for resource efficiency
<p>Complete Model database with 105 parameter files used in the ODYM-RECC Copper model (github: https://github.com/SteffiKlose/ODYM-RECC-Copper.git) used for Sector-level estimates for global future copper demand and the potential for resource efficiency (<a href="https://doi.org/10.1016/j.resconrec.2023.106941">https://doi.org/10.1016/j.resconrec.2023.106941</a>)</p> <p>This dataset is based on the Database of the ODYM-RECC v2.4 model, used for the GLOBAL case study on material efficiency and climate change mitigation (https://doi.org/10.5281/zenodo.4671644)</p>
Predicting geographic distribution and habitat suitability of Opuntia streptacantha in paleoclimatic, current, and future scenarios in Mexico
<p>Geographical records. A total of 825 records (Figure 1), representing the natural distribution historically recognized for <em>O</em>. <em>streptacantha.</em></p> <p>Maps for past, current, and future models in QGIS format</p>
Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate-correlated risk shifts of main zoonotic diseases in China
<p>This dataset contains host occurrence data from NACRC database and disease incidence data for the paper "Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate-correlated risk shifts of main zoonotic diseases in China".</p>
CCG: Beyond the Dams: Combatting Hydropower Over-reliance & Securing Pathways for a Low-carbon Future for Laos' Electricity Sector using OSeMOSYS (Open-Source Energy Modelling System)
<p>Seven clicSAND scenario files for <strong>Beyond the Dams: Combatting Hydropower Over-reliance & Securing Pathways for a Low-carbon Future for Laos' Electricity Sector using OSeMOSYS (Open-Source Energy Modelling System).</strong> </p> <p><strong>How to Visualise Results Online and Offline</strong> outline the steps required to re-run the scenarios on OSeMOSYS Cloud</p> <p><strong>Scenario Short Note</strong> outlines the steps to replicate the analysis and rebuild the scenarios</p> <p><strong>Annex - Input Data and Assumptions</strong> listing the data sources and assumptions in the scenarios</p>
Future projections of surface heat budgets at Lough Feeagh
<p>ISIMIP_modifiedSimstratv212_Feeagh_v2.rar includes:</p> <p>1) modified Simstrat v212 outputs (surface heat fluxes and water temperature) for Lough Feeagh under future climate projectios (historical + RCP 2.6., 6.0 and 8.5) and natural climate (PiControl).</p> <p>2) Figures and Tables derived from outputs.</p> <p>3) Modifications in Simstratv212 code.</p> <p>The differences with the previos version are that Table 3 and Figure 5 have been updated (changes have been made to the format, not to the content).</p>
Fig. 1 in Current and future suitable habitats of a range-restricted species group (Cyrtodactylus chauquangensis) in Vietnam
Fig. 1. The occurrence localities of the C. chauquangensis species group.
Data from: Cryptic male mate choice for high-quality females reduces male postcopulatory success in future matings
<p>Cryptic male mate choice occurs when males differentially allocate resources to females during or after copulation. When male resources are limited, males may benefit by strategically allocating more resources toward higher-quality females. In the fruit fly, <em>Drosophila melanogaster</em>, males mate for longer and may transfer more sperm and more seminal proteins when they mate with larger females compared to smaller females. It is unclear, however, whether this increased investment in large females has any impact on the males' later matings. We mated <em>D. melanogaster</em> males sequentially to females of large or small body size in all possible combinations to test whether cryptic male mate choice for large females is costly to the males' subsequent matings. Second matings were shorter for males compared to their first matings, but there were no differences in fecundity between females mated first or second by a male. Interestingly, male success at defensive sperm competition declined between his first and second matings only when his first mating had been with a large female. This suggests that the higher initial investment in large females reduced male postcopulatory success in their subsequent matings. Cryptic male mate choice may carry underappreciated costs to males that could limit their reproductive potential.</p>
Convection-permitting projections of future changes in water balance and groundwater-surface water interactions
<p>This dataset consists of processed data in the manuscript of "Convection-permitting projections of future changes in water balance and groundwater-surface water interactions".</p>
Pre-industrial, present and future atmospheric soluble iron deposition and the role of aerosol acidity and oxalate under CMIP6 emissions: DATASET
<p>This dataset provides output fields that were used in the research article titled "Pre-industrial, present and future atmospheric soluble iron deposition and the role of aerosol acidity and oxalate under CMIP6 emissions." The data includes the following fields presented as yearly means:</p> <ul> <li>Soluble Iron emissions (SFe_emi) in Tg/yr</li> <li>Total Iron emissions (TFe_emi) in Tg/yr</li> <li>Soluble Iron deposition (SFe_dep) (both wet and dry) in Tg/yr</li> <li>Total Iron deposition (TFe_dep) (both wet and dry) in Tg/yr</li> </ul> <p>The data covers the following periods:</p> <ul> <li>Pre-industrial period (PI), with the year 1850</li> <li>Present-day period (PD), with the climatology from 1985 to 2014</li> <li>Three future periods based on the SSP CMIP6 scenarios (SSP126, SSP245, SSP370), with the climatology from 2070 to 2099</li> </ul> <p>An additional file containing information on the cell areas of the output grid is also included (areacell_BergasMassoetal2023.nc).</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.