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30 results for “Bavaria”
Microclimate temperature effects propagate across scales in forest ecosystems, Berchtesgaden National Park, Bavaria, Germany
Context: Forest canopies shape subcanopy environments, affecting biodiversity and ecosystem processes. Empirical forest microclimate studies are often restricted to local scales and short-term effects, but forest dynamics unfold at landscape scales and over long time periods. Objectives: We developed the first explicit and dynamic implementation of microclimate temperature buffering in a forest landscape model and investigated effects on simulated forest dynamics and outcomes. Methods: We adapted the individual-based forest landscape and disturbance model iLand to use microclimate temperature for three processes [decomposition, bark beetle (Ips typographus L.) development, and tree seedling establishment]. We simulated forest dynamics with or without microclimate temperature buffering in a temperate European mountain landscape under historical climate and disturbance conditions.
Production Temperatures Upper Jurassic Reservoir Germany Bavaria
<p>The dataset provides estimated production temperature prognosis for the Upper Jurassic reservoir in the Bavarian Molasse Basin assessed by a correlation of production temperatures and temperatures at the top of reservoir taken from the GeotIS -platform (www.geotis.de).Further expllanation in Zosseder, K., Pfrang, D., Schölderle, F., Bohnsack, D., Konrad, F. (2022): Characterisation of the upper Jurassic geothermal reservoir in the South German Molasse Basin as basis for a potential assessment to foster the geothermal installation development – Results from the joint research project Geothermal Alliance Bavaria. Geomechanics and Tunnelling 15, No. 1, pp. 17–24. https://doi.org/10.1002/geot.202100087.</p>
Projected climate and canopy change lead to thermophilization and homogenization of forest floor vegetation in a hotspot of plant species richness, Berchtesgaden National Park, Bavaria, Germany
Mountain forests are plant diversity hotspots, but changing climate and increasing forest disturbances will likely lead to far-reaching plant community change. Projecting future change, however, is challenging for forest understory plants, which respond to forest structure and composition as well as climate. Here, we jointly assessed effects of both climate and forest change, including wind and bark beetle disturbances, using the process-based simulation model iLand in a protected landscape in the northern Alps (Berchtesgaden National Park, Germany), asking: (1) How do understory plant communities respond to 21st-century change in a topographically complex mountain landscape, representing a hotspot of plant species richness? (2) How important are climatic changes (i.e., direct climate effects) versus forest structure and composition changes (i.e., indirect climate effects and recovery from past land use) in driving understory responses at landscape scales? Stacked individual species distribution models fit with climate, forest, and soil predictors (248 species currently present in the landscape, derived from 150 field plots stratified by elevation and forest development, overall AUC = 0.86) were driven with projected climate (RCP4.5 and RCP8.5) and modeled forest variables to predict plant community change. Nearly all species persisted in the landscape in 2050, but on average 8% of the species pool was lost by the end of the century. By 2100, landscape mean species richness and understory cover declined (-13% and -8%, respectively), warm-adapted species increasingly dominated plant communities (i.e., thermophilization, +12%), and plot-level turnover was high (62%). Subalpine forests experienced the greatest richness declines (-16%), most thermophilization (+17%), and highest turnover (67%), resulting in plant community homogenization across elevation zones. Climate rather than forest change was the dominant driver of understory responses. The magnitude of unabated 2
Bias Correction of CRCM5-LE for Hydrological Bavaria
<p>The frequency and intensity of extreme hydrometeorological events are anticipated to rise as a result of climate change. For precise analysis, especially in low-flow assessments, it is crucial to have data on precipitation and temperature with high spatial and sub-daily resolution. However, such data is often lacking in both density and duration. The <a href="https://www.climex-project.org/">ClimEx-II </a>project (Climate Change and Hydrological Extreme Events 2nd Phase) is dedicated to enhancing our understanding of these shifts in hydrological extremes.</p> <p>The Canadian Regional Climate Model version 5 Large Ensemble (CRCM5-LE; Leduc et al. (2019)) under RCP 8.5 builds the climatic boundary conditions for the hydrological modelling. The ensemble covers a European and a North American domain, each comprising 50 members from 1951 to 2100. The SDCLIREF v2 (Lehr- und Forschungseinheit für physische Geographie und komplexe Umweltsysteme 2024), a sub-daily (3h), high-resolution (500m) data set for the domain of Bavaria and hydrologically important neighbouring catchments marks the reference data set. </p> <p>In ClimEx-II, bias correction is a crucial step before downscaling (regional) climate model simulations to higher resolutions as it adjusts local inconsistencies in the climate model. The corrected and downscaled meteorological inputs can be used to drive a hydrological model (Emami and Koch 2018, Fang et al. 2015). The quality of the corrected data depends on the method used. Therefore, this data set comprises a comparison of the input and output data from three different bias correction methods, UBC (Cannon et al., 2015), MBCn (Cannon 2018) and VBC (Funk et al., 2024) for three diverse climate regions in Bavaria:</p> <ul> <li>Fränkische Saale Salz is a franconian catchment</li> <li>Iller Kempten is a pre-alpine catchment</li> <li>Hart an der Ziller is an alpine catchment</li> </ul> <p>Each catchment comprises six to seven grid cells of a 12 km resolution. Five climate variables of hydrological importance are corrected in a 3-hourly temporal resolution per grid cell:</p> <ul> <li>Near-Surface Dewpoint Temperature in °C (<em>dew</em>)</li> <li>Precipitation in kg/m2 (<em>pr</em>)</li> <li>Surface Downwelling Shortwave Radiation in W/m2 (<em>rsds</em>)</li> <li>Near-Surface Wind Speed in m/s (<em>sfcWind</em>)</li> <li>Near-Surface Air Temperature in °C (<em>tas</em>)</li> </ul> <p>The environment in each file comprises the inputs to the bias correction</p> <ul> <li><strong>mp_dts</strong>: CRCM5-LE model data during the projection period (2011-2030) before correction</li> <li><strong>mc_dts</strong>: CRCM5-LE model data during calibration period (1991-2010)</li> <li><strong>oc_dts</strong>: SDCLIREF v2 reference data during calibration period (1991-2010)</li> </ul> <p>,the outputs from the bias correction comparison during the projection period</p> <ul> <li><strong>vbc</strong>: CRCM5-LE model data during the projection period (2011-2030) after correction by VBC</li> <li><strong>mbcn</strong>: CRCM5-LE model data during the projection period (2011-2030) after correction by MBCn</li> <li><strong>ubc</strong>: CRCM5-LE model data during the projection period (2011-2030) after correction by UBC</li> </ul> <p>and the held-out reference data for validation</p> <ul> <li><strong>op_dts</strong>: SDCLIREF v2 reference data during the projection period (2011-2030).</li> </ul> <p>Each of the above-presented data sets consists of six columns. The five climate variables are indexed by their abbreviations. The sixth column <em>time</em> contains a string marking the respective timestamp. All CRCM5-LE model data contain a seventh column indicating the respective ensemble member. The evaluation results by Wasserstein Distance and Model Correction Inconsistency from Funk et al. (2024) are captured in the three additional files starting with <em>06_*</em>.</p>
FIG. 3. — A-N in Two poorly known species of Foraminifera: Polystomella minuta Reuss, 1865 from the Oligocene of Germany (Bavaria) and P. falunica Allix, 1913 from the Miocene of western France (Touraine). Designation of a neotype for P. falunica
FIG. 3. — A-N, Elphidiella falunica (Allix, 1913); A, B, Saucats; C, D, Sallespisse; E, F, Saint-Selve; G, H, Étang des Charmes; I-L, Carry-le-Rouet, lateral and oral views; M, sutural canal; N, section; O, P, Elphidiella hannai (Cushman & Grant, 1927), lateral and oral views. Scale bars: A-L, N-P, 200 mm; M, 50 mm.
FIG. 2. — A in Two poorly known species of Foraminifera: Polystomella minuta Reuss, 1865 from the Oligocene of Germany (Bavaria) and P. falunica Allix, 1913 from the Miocene of western France (Touraine). Designation of a neotype for P. falunica
FIG. 2. — A, Polystomella falunica Allix, 1913; B-P, Elphidiella falunica (Allix, 1913), Thenay (les Gandes); B, C, lateral and oral views; D, sutural pores; F-H, Thenay (le Piziou); A, B, lateral and oral views; C, enlargement of the oral part; I, J, Thenay (la Rangère), lateral and oral views; K, L, Chemillé, lateral and oral views; M, N, Mirebeau, lateral and oral views; O, P, Noyant, lateral and oral views. Scale bars: A-C, I-P, 200 mm; F, G, 100 mm; H, 50 mm; D, 20 mm; E, 5 mm.
FIG. 1 in Two poorly known species of Foraminifera: Polystomella minuta Reuss, 1865 from the Oligocene of Germany (Bavaria) and P. falunica Allix, 1913 from the Miocene of western France (Touraine). Designation of a neotype for P. falunica
FIG. 1. — Geographical areas: A, Touraine: Pontlevoy, le Piziou, le Mincé, les Gandes, la Rangère, Château Gabillon, Savigné-sur-Lathan – Anjou (Chemillé) – Poitou: Mirebeau; B, Aquitaine: Saucats, Saint-Selve, Étang des Charmes at southern Saint-Selve, Saubrigues, Sallepisse, Baudignan, Lafaurie; C, Provence: Carry-le-Rouet; D, France, general map with the localization of the geographical zones A-C.
Annual occupancy estimates for butterflies, grasshoppers and dragonflies in Bavaria (Germany), 1980-2019
<p>Recent climate and land-use changes are having substantial impacts on biodiversity, including population declines, range shifts, and changes in community composition. However, few studies have compared these impacts among multiple taxa, particularly because of a lack of standardized time series data over long periods. Existing datasets are typically of low resolution or poor coverage, both spatially and temporally, thereby limiting the inferences that can be drawn from such studies. Here, we compare climate and land-use driven occupancy changes in butterflies, grasshoppers, and dragonflies using an extensive dataset of highly heterogeneous observation data collected in the central European region of Bavaria (Germany) over a 40-year period. Using occupancy models, we find occupancies (the proportion of sites occupied by a species in each year) of 37% of species have decreased, 30% have increased and 33% showed no significant trend. Butterflies and grasshoppers show strongest declines with 41% of species each. By contrast, 52% of dragonfly species increased. Temperature preference and habitat specificity appear as significant drivers of species trends. We show that cold-adapted species across all taxa have declined, while warm-adapted species have increased. In butterflies, habitat specialists have decreased, while generalists increased or remained stable. The trends of habitat generalists and specialists both in grasshoppers and semi-aquatic dragonflies however did not differ. Our findings indicate strong and consistent effects of climate warming across insect taxa. The decrease of butterfly specialists could hint towards a threat from land-use change, as especially butterfly specialists' occurrence depends mostly on habitat quality and area. Our study not only illustrates how these taxa showed differing trends in the past, but also provides hints on how we might mitigate the detrimental effects of human development on their diversity in the future.</p>
Biomass estimation of oilseed rape using the light use efficiency model in Bavaria (Atlas) in LandKlif project
<p>This dataset shows the predicted biomass (g/m2) of oilseed rape (OSR) using the light use efficiency (LUE) model for Bavaria in 2019. The LUE model uses satellite data (Landsat-8, MODIS) and climate data (temperature and solar radiation) to calculate the plant biomass. The crop yield is predicted and validated at district level using LfStat data. The validation results show an R2 of 0.79 with an RMSE of 2.21 dt/ha. </p> <p>This dataset is conducted under LandKlif project. LandKlif is funded by the <a href="https://www.stmwk.bayern.de/englisch.html"><strong>Bavarian State Ministry of Science and the Arts</strong></a> within the <a href="https://www.bayklif.de/"><strong>Bavarian Climate Research Network (bayklif)</strong></a><strong>. </strong> Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. <strong>LandKliF</strong>, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.</p>
Biomass estimation of winter wheat using the Light Use Efficiency model in Bavaria (Atlas) in LandKlif project
<p>This dataset shows the predicted biomass (g/m2) of winter wheat (WW) using the Light Use Efficiency (LUE) model for Bavaria in 2019. The LUE model uses satellite data (Landsat-8, MODIS) and climate data (temperature and solar radiation) to calculate the plant biomass. The crop yield is predicted and validated at district level using LfStat data. The validation results show an R2 of 0.82 with an RMSE of 5.46 dt/ha. </p> <p>This dataset is conducted under LandKlif project. LandKlif is funded by the <a href="https://www.stmwk.bayern.de/englisch.html"><strong>Bavarian State Ministry of Science and the Arts</strong></a> within the <a href="https://www.bayklif.de/"><strong>Bavarian Climate Research Network (bayklif)</strong></a><strong>. </strong> Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. <strong>LandKliF</strong>, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.</p>
Transcripts of interviews conducted with female agricultural entrepreneurs in Bavaria conducted in 2018
<p>The file contains transcripts of recorded interviews with 19 women in Bavaria, who in the past had started a diversification business on or with farm resources. The objective of the research was to identify barriers for starting and growing a business for women in the agricultural domain. Furthermore resources used by these women for starting a business were explored. The method employed was that of narrative enquiries. The interviewer in all instances was the researcher.</p>
Linked collectors and determiners for: Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria.
Natural history specimen data linked to collectors and determiners held within, "Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/64dabd3c-4f34-4520-b9dd-d227a0bf1582">https://bionomia.net/dataset/64dabd3c-4f34-4520-b9dd-d227a0bf1582</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/64dabd3c-4f34-4520-b9dd-d227a0bf1582">https://gbif.org/dataset/64dabd3c-4f34-4520-b9dd-d227a0bf1582</a>. Formatted as a Frictionless Data package.
Deep Geothermal Production Volume Flux Zones Bavaria
<p>The dataset provides production volume flux values for zones in the Upper Jurassic deep geothermal reservoir of the Bavarian Molasse Basin regarding different probabilitities. The Data is cross-checked with the available data of the existing hydrothermal plants of the Molasse Basin and therefore considered as valid information but have uncertainties in areas with less drilling information. Further explanation in Zosseder, K., Pfrang, D., Schölderle, F., Bohnsack, D., Konrad, F. (2022): Characterisation of the upper Jurassic geothermal reservoir in the South German Molasse Basin as basis for a potential assessment to foster the geothermal installation development – Results from the joint research project Geothermal Alliance Bavaria. Geomechanics and Tunnelling 15, No. 1, pp. 17–24. https://doi.org/10.1002/geot.202100087. The data is derived in the framework of the Geothermal Alliance of Bavaria (GAB). </p>
Annual occupancy estimates for butterflies, grasshoppers and dragonflies in Bavaria (Germany), 1980-2019
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Photographic pictures of selected artifacts from Didon´s excavations at Abri Blanchard in the collection of the Naturhistorische Gesellschaft Nürnberg, Bavaria, Germany
<p>provided by the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Institut für Ur- und Frühgeschichte. The data presented here includes photographs of the most indicative pieces from an assemblages archived in the magazine of the Naturhistorische Gesellschaft Nürnberg, Abteilung Vorgeschichte. For more information about the hosting institution, see <a href="https://www.nhg-nuernberg.de/main.php?section=Vorge">https://www.nhg-nuernberg.de/main.php?section=Vorge</a>.</p> <p>All photographic pictures made and arranged by U. Maaß (FAU).</p> <p>For further information about the context of the depicted artifacts see the following publication:</p> <p><em>Uthmeier, T., Pasda, K., Wiesner, C. M., & Lechner, C. (2020). </em><em>Aurignacian only? New evidence for a Gravettian component in the lithic and bone industry from Didon´ s excavations at Abri Blanchard: Ausschließlich Aurignacien? Neue Belege für eine Gravettien-Komponente im lithischen und organischen Fundmaterial aus den Ausgrabungen Didons im Abri Blanchard. Quartär – Internationales Jahrbuch zur Erforschung des Eiszeitalters und der Steinzeit 67, 23-43.</em></p> <p>The full-text is available under <a href="https://doi.org/10.7485/qu.2020.67.88914">https://doi.org/10.7485/qu.2020.67.88914</a></p> <p><strong>Abstract</strong> - The article presents for the first time the collection from Didon´s excavations at Abri Blanchard hosted in the Naturhistorische Gesellschaft Nürnberg. Bought by the Gesellschaft in 1912 through the agency of Hugo Obermaier, the material consists of lithic artifacts, artifacts from bone, antler and ivory, personal ornament, faunal remains and pieces of the brecciated archaeological layer(s). The analysis shows that most of the lithic and osseous artifacts fit well into the variability of the Aurignacian. The bone points can formally be attributed to an early Aurignacian, characterized by split-based points, and a later Aurignacian, indicated by the presence of massive-based points. Although Gravettian artifacts have already been identified in one of the collections hosted in other museums, these were restricted to isolated pieces among the osseous industry. The present study for the first time identified not only additional Gravettian pieces among the osseous industry, but at the same time also a small series of Noailles-type burins, several Gravette points, and a bidirectional core alongside a Pavlovian smoother (“Geweihstecher”). The article discusses how these new findings compare to existing hypothesis about the origin of a non-Aurignacian component at the site.</p> <p><strong>Zusammenfassung</strong> - In dem vorliegenden Artikel werden erstmals Artefakte und Faunenreste aus den Ausgrabungen Didons im Abri Blanchard beschrieben, die sich im Archiv der Naturhistorischen Gesellschaft Nürnberg befinden. Das Inventar wurde 1912 nach Vermittlung von Hugo Obermaier angekauft und enthält neben Steinartefakten und Artefakten aus Knochen, Geweih und Elfenbein auch Faunenreste, Schmuckanhänger und Brekzien-Bruchstücke aus der Fundschicht. Die meisten Steinartefakte und Artefakte aus Knochen, Geweih und Elfenbein können in das Aurignacien gestellt werden. Die Geschossspitzen erlauben bei Anwendung der klassischen französischen Gliederung die Unterscheidung eines frühen Aurignacien mit Geschossspitzen mit gespaltener Basis einerseits, und eines entwickelten Aurignacien mit Geschossspitzen mit massiver Basis andererseits. Wie in bereits publizierten Analysen an Altbeständen in Museen in Europa und den Vereinigten Staaten, so konnte auch in dem Nürnberger Inventar eine Gravettien-Komponente erkannt werden. Im Unterschied zu existierenden Untersuchungen liegen hier jedoch nicht nur isolierte Stücke vor, sondern eine Serie von Noailles-Sticheln und Gravette-Spitzen sowie ein großer bidirektionaler Kern. In dem Artikel werden die neuen Erkenntnisse mit bereits vorliegenden Ergebnissen aus älteren Studien verglichen sowie verschiedene Hypothesen zum Vorliegen einer Komponente, die nicht in das Aurignacien gestellt werden kann, diskutiert.</p>
COVID-19 lockdown measures impacted citizen science hedgehog observation numbers in Bavaria, Germany
<p>The COVID-19 pandemic has led to temporary changes in human-animal interactions due to changes in human activities. Here we report on a surge in hedgehog observations during the first COVID-19 lockdown in Germany in 2020, on the citizen science web portal 'Igel in Bayern' (Hedgehogs in Bavaria) in Germany. This increase in comparison to previous years could be attributed to an increase in the number of people reporting hedgehog observations, rather than an increase in the number of hedgehog observations done by each observer. Additionally, in contrast to other studies on the effects of a COVID-19 lockdown on observations recorded by Citizen Science projects, the share of observations made in more urbanized areas during the lockdown time was not higher than the change observed in less urbanized areas. This is possibly a result of the differences in COVID-19 measures between Germany and other countries where preceding studies were carried out, in particular the lack of measures limiting outdoor activities for citizens.</p>
Data from: A Miopetaurista (Sciuridae, Rodentia) cranium from the middle Miocene of Bavaria (Germany) and brain evolution in flying squirrels
<p>Flying squirrels (Sciurinae, Pteromyini) are the most successful group of gliding mammals. However, their fossil record mostly consists of isolated dental remains which provide very limited insights into their paleobiology and evolution. Only recently, the first skeleton of a fossil flying squirrel, belonging to the species <em>Miopetaurista neogrivensis</em>, has been described. It presents all the diagnostic gliding-related postcranial features of its extant relatives and shows that this group has undergone very little morphological change for almost 12 million years. However, the associated cranium is badly crushed, so particular details of the cranial morphology cannot be described. Here we describe a well-preserved cranium of the closely-related <em>Miopetaurista crusafonti</em> from 12.5–12.0 Ma from Bavaria (Germany). Its cranial morphology is found to be almost identical to extant large flying squirrels, even in details such as the position of the foramina. The virtual endocast also shows close affinities to living large flying squirrels in morphology and in the relative volume of different brain regions, showing diagnostic features such as the size reduction of petrosal lobules and olfactory bulbs. However, the encephalization quotient (EQ) and neocortical ratio are lower than observed in extant flying squirrels. EQ is known to increase through time in squirrels, but might also be related to locomotion, as arboreal and gliding squirrels display higher EQs than terrestrial ones. Because <em>Miopetaurista</em> was certainly a glider, its comparatively lower EQ and neocortical size support the existence of an independent trend of increasing EQ and neocortical complexity in this flying squirrel subclade.</p>
Data from: Occurrence, ecology and management of Fascioloides magna in Bavaria, Southern Germany
<p>In 2015, red deer infected with American liver fluke were discovered in the Veldenstein Forest area for the first time. This was the first detection of the fluke in a wild deer population in Bavaria. </p> <p>The aim of the study was to determine the American liver fluke prevalence rates in red deer, roe deer and wild boar in the Veldenstein Forest, as well as factors influencing these rates.</p> <p>Since 2018, the livers of 83% of the red deer culled in the study area have been examined, as well as those of the occasional roe deer and wild boar. The livers are classified by adspection and dissection into four levels of infection. The age of the animals was estimated on the basis of dentition and tooth cementum annuli in the first molar (M1). The livers of 520 red deer, 226 roe deer and 75 wild boar were dissected. All wild boar livers tested negative. 3% of roe deer and 36% of red deer livers were positive. To lower the prevalence, the red deer population was reduced, beginning in 2018. In the following years, it fell significantly. Medium and high levels of infection were initially detected in 61% of adult red deer. Since 2018, the median number of flukes per infected liver has decreased significantly from 17.51 flukes/liver to 10.0 flukes/liver. On driven hunts, significantly more diseased deer were found than during hunting from raised hides.</p> <p>Furthermore, there are close correlations between infectations and the age of the red deer, and infections and the distance from the Pegnitz floodplains. The American liver fluke leads to the extinction of roe deer locally and to a massive infectation and decimation of the red deer population. Without a drastic reduction of the numbers in infected red deer populations, there is a risk of large-scale infection of native deer species across large areas in Bavaria.</p>
Tree rings as a proxy for seasonal precipitation variability and Early Neolithic settlement dynamics in Bavaria, Germany
<p>The file contains original measurements of total ring width (TRW) of 540 subfossil oak trees from the Main region (southern Germany) spanning the period from 6228 to 4057 BCE (2172 years).</p> <p>Latitude: 49.6-50.2°N</p> <p>Longitude: 10.2-11.2°E</p> <p>Resolution of measurement: 0.01 mm</p> <p>File format: Tucson (.tuc)</p>
Data from: A Miopetaurista (Sciuridae, Rodentia) cranium from the middle Miocene of Bavaria (Germany) and brain evolution in flying squirrels
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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)
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DANDI Archive for NWB datasets
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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.