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Figure 4 in Natural history and population dynamics of the subsocial tortoise beetle Omaspides (Paromaspides) brunneosignata Boheman 1854 (Coleoptera: Chrysomelidae: Cassidinae)
Figure 4. Omaspides (Paromaspides) brunneosignata Boheman (A) Predation of female guardian by Hemiptera; (B) adult predation of Omaspides brunneosignata by unidentified Araneae species; (C) larva predation by Polybia minarum Ducke 1906 (Hymenoptera: Vespidae); (D) union of two Omaspides brunneosignata offspring; one of them in the pupae stage (bottom of the photo) and the other in the pre-pupae stage, with an individual passing the pupa (indicated by the red arrow); (E) predation of pupae by Pseudomyrmex phyllophilus Smith 1858 (Hymenoptera: Formicidae); (F) pupae being attacked by Brachymeria sp. (Hymenoptera: Chalcididae).
Figure 6 in Natural history and population dynamics of the subsocial tortoise beetle Omaspides (Paromaspides) brunneosignata Boheman 1854 (Coleoptera: Chrysomelidae: Cassidinae)
Figure 6. (A) Density of Omaspides (Paromaspides) brunneosignata Boheman (adults, egg masses, larval and pupal aggregations) found in the Floresta Nacional de Passa Quatro during its reproductive period from October 2010 to May 2011. (B) Density of Omaspides brunneosignata Boheman (adults, egg masses, larval and pupal aggregations) and leaves of its host plant Ipomoea syringifolia Meisn (Convolvulaceae) found in the Floresta Nacional de Passa Quatro from October 2016 to January 2018. Temperature (° C) and precipitation (mm) date are data are given for the same period of study and were provided by the Instituto Nacional de Meteorologia.
Figure 5 in Natural history and population dynamics of the subsocial tortoise beetle Omaspides (Paromaspides) brunneosignata Boheman 1854 (Coleoptera: Chrysomelidae: Cassidinae)
Figure 5. Omaspides (Paromaspides) brunneosignata Boheman (A) Sign of herbivory by early-stage larvae (second – third instar); (B)female next to larvae in cycloalexic defence formation; (C) female next to leaf migrating larvae; (D) final stage larvae scraping the stem of the host plant; (E) marked female with newly emerged; (F) sign of herbivory by newly emerged.
Figure 2 in Natural history and population dynamics of the subsocial tortoise beetle Omaspides (Paromaspides) brunneosignata Boheman 1854 (Coleoptera: Chrysomelidae: Cassidinae)
Figure 2. Part of native forest of study area with understory constituted mainly by Pinus elliottii Engel. 1880 forests.
Figure 3 in Natural history and population dynamics of the subsocial tortoise beetle Omaspides (Paromaspides) brunneosignata Boheman 1854 (Coleoptera: Chrysomelidae: Cassidinae)
Figure 3. Omaspides (Paromaspides) brunneosignata Boheman 1854 (A) Female on newly oviposited egg mass; (B) pedunculated egg mass on the abaxial surface of the Ipomoea syringifolia Meisn (Convolvulaceae); (C) female defensive behaviour against Crematogaster sp. Natural enemies at the egg stage. The hymenopterans (D) Emersonella pubipennis Hansson 2002 (Eulophidae: Entedoninae); (E) predation by Crematogaster sp. (Formicidae); and by (F) Pseudomyrmex phyllophylus (Smith, 1858) (Formicidae).
Figure 1 in Natural history and population dynamics of the subsocial tortoise beetle Omaspides (Paromaspides) brunneosignata Boheman 1854 (Coleoptera: Chrysomelidae: Cassidinae)
Figure 1. Geographic location of Floresta Nacional de Passa Quatro, Passa Quatro, Minas Gerais/Brazil. Source: ICMBio 2009.
Data from: Temperature effects on long-term population dynamics in a parasitoid-host system
Long-term environmental changes will likely alter the strengths of interactions between species and consequently their population dynamics, leading to changes in the stability of ecological systems. While an increasing number of empirical studies have shown that environmental changes can alter the strengths of species interactions, these studies are typically short (<1–2 generations) and therefore give only partial information about longer term population dynamics. To focus on longer term dynamics, we investigated population cycles of pea aphids and their most common parasitoid, Aphidius ervi, in Wisconsin, USA. Data collected over three years in alfalfa fields showed an apparent host–parasitoid population cycle. Furthermore, higher pea aphid population growth rates and increased parasitism were correlated with higher naturally occurring temperatures. While these effects were observed with seasonal fluctuations in temperature, they beg the question of how long-term changes in mean annual temperature might change aphid–parasitoid population cycles, a question which we further pursued with laboratory experiments. To quantify temperature-dependent demographic parameters, we used short-term (<1 generation) experiments conducted at 20°C and 27°C. The higher temperature increased aphid and parasitoid development rates, adult aphid life span and fecundity, and parasitoid attack rates. We then conducted multi-generation population-level laboratory experiments to reveal the effects of temperature (20°C vs. 27°C) on population dynamics. We fit the resulting time series data using a nonlinear age-structured state-space model to estimate population-level processes that could not be estimated in short-term laboratory experiments. Using the model, we parsed out the demographic rates that had the largest impacts on aphid–parasitoid population cycles. This analysis showed that there were frequent contrasts in the effects of temperature operating through different demographic rates. For example, the temperature-dependent increase in aphid development rate decreased cycle amplitude, while the increase in parasitoid attack rate increased cycle amplitude. There were also striking interactions among demographic rates. For example, the temperature-dependent increase in aphid development rate could either increase or decrease the cycle period depending on the values of other demographic rates. Although these complexities make predictions difficult, overall they suggest that increasing long-term mean temperature will decrease the period, increase the amplitude, and tend to destabilize pea aphid–A. ervi dynamics.
Data from: Keystone individuals alter ecological and evolutionary consumer-resource dynamics
Intraspecific variation is central to our understanding of evolution and ecology, but these fields generally consider either the mean trait value or its variance. Alternatively, the keystone individual concept from behavioral ecology posits that a single individual with an extreme phenotype can have disproportionate and irreplaceable effects on group dynamics. Here, I generalize this concept to include non-behavioral traits and broader ecological and evolutionary dynamics. I test for the effects of individuals with extreme phenotypes on the ecology and evolution or a gall-forming fly and its natural enemies that select for opposite gall sizes. Specifically I introduce a putatively keystone predator-attracting individual gall-maker, hypothesizing that the presence of such an individual should (i) increase gall-maker population-level mortality, (ii) cause consumer communities to be dominated by species that are most attracted to the keystone individual, (iii) increase selection for traits conferring defense against the most common consumer, and (iv) weaken patterns of stabilizing selection. I find support for both the ecological and evolutionary consequences of single individuals with extreme phenotypes, suggesting that they can be considered keystone individuals. I discuss the generality of the keystone individual concept, suggesting likely consequences for ecology and evolution.
Data from: Kleptoparasitism and scavenging can stabilize ecosystem dynamics
Scavenging is ubiquitous in nature and yet its implications for ecosystem dynamics have rarely been investigated. We used camera traps on wolf kills to investigate the role of scavenging on predator and multi-prey dynamics in a Northern Apennine system (Italy). In contrast to North American systems, throughout much of Eurasia, the omnivorous wild boar (Sus scrofa) successfully competes with wolves (Canis lupus) for the meat of their kills. We developed a deterministic multi-trophic web model (wolf, vegetation and two prey species, deer and wild boar), tunable through a parameter that governs the impact of prey-sharing between wolves and wild boar. When prey-sharing is absent or scarce, populations oscillate, but above a threshold value the trophic web is stabilized, with the regime solution becoming a fixed stable point. Both deer and wild boar then increase as a function of prey-sharing, and the impact of herbivores on the vegetation increases. When prey-sharing exceeds another threshold, however, the system collapses due to the extinction of both wolves and wild boar, but not of deer. Our analysis shows that scavenging is crucial for the dynamics of this ecosystem and thus, in general, it should not be overlooked in food web modelling. The exploitation of wolf kills by wild boar may allow juveniles and yearlings to obtain high quality resources that are not usually available, helping the omnivorous wild boar to compensate for losses caused by heavy hunting. This is likely to make them even more invasive and difficult to control.
Data from: Disentangling invasion processes in a dynamic shipping - boating network
The relative importance of multiple vectors to the initial establishment, spread, and population dynamics of invasive species remains poorly understood. This study used molecular methods to clarify the roles of commercial shipping and recreational boating in the invasion by the cosmopolitan tunicate, Botryllus schlosseri. We evaluated i) single vs. multiple introduction scenarios, ii) the relative importance of shipping and boating to primary introductions, iii) the interaction between these vectors for spread (i.e., the presence of a shipping-boating network), and iv) the role of boating in determining population similarity. Tunicates were sampled from 26 populations along the Nova Scotia, Canada, coast that were exposed to either shipping (i.e., ports), or boating (i.e., marinas) activities. A total of 874 individuals (~30 per population) from 5 ports and 21 marinas was collected and analyzed using both mitochondrial cytochrome c oxidase subunit I gene (COI) and 10 nuclear microsatellite markers. The geographical location of multiple hotspot populations indicates that multiple invasions have occurred in Nova Scotia. A loss of genetic diversity from port to marina populations suggests a stronger influence of ships than recreational boats on primary coastal introductions. Population similarity analysis reveals a clear dependence of marina populations on those that had been previously established in ports and connectivity due to a boating network better explains patterns in population similarities than does natural spread. We conclude that frequent primary introductions arise by ships and that secondary spread occurs gradually thereafter around individual ports, facilitated by recreational boating.
Data from: Developing state and transition models of floodplain vegetation dynamics as a tool for conservation decision-making: a case study of the Macquarie Marshes Ramsar wetland
1. Floodplain vegetation states (communities) exhibit spatiotemporal dynamics in vegetation structure and composition, which reflect unique hydrological and connectivity patterns. Shifts in inundation regimes can drive succession and establish new stable states, determined by the magnitude and duration of the hydrological perturbation. 2. We aimed to develop a modelling approach that is able to capture ecosystem dynamics, identify and quantify the main drivers of change, and provide a tool for conservation decision-making. We developed state and transition models for floodplain vegetation states based on surveys in 1991 and 2008 in the Macquarie Marshes (Australia), a Ramsar wetland of international importance. We used a Bayesian logistic regression approach to model state and transitions between vegetation states and investigated how flood frequency, distance to stream and fire frequency were associated with vegetation dynamics during this period. 3. During 1991–2008, significant transitions have occurred towards drier states. Semi-permanent wetland vegetation had the lowest persistence probability (ppsis = 0·456) and a significant threshold response of transitioning to terrestrial vegetation (ptran = 0·505). Transition to drier states was driven by lower inundation probabilities followed by increased fire probability, and distance to nearest stream. 4. Using developed models, we predicted persistence probabilities of vegetation states under an unregulated (i.e. no dams or diversions) and regulated water availability system. Under a regulated system, semi-permanent wetland vegetation had an average persistence of ppsis = 0. 67 and 0·08 in the northern and southern sections of the nature reserve, respectively. Under an unregulated system, the predicted persistence of semi-permanent wetland vegetation was considerably higher: ppsis = 0·87 and 0·38, respectively. 5. Synthesis and applications. Developing quantitative models of state transitions significantly improved our understanding of ecosystem dynamics, identifying sensitive indicators for monitoring and thus supporting conservation decision-making. This helps managers understand potential trajectories of change in ecosystems in response to management options. For example, increasing environmental flows in the Macquarie Marshes is predicted to shift the community towards more of a wetland than the terrestrial state, resulting from river regulation. State and transition models identified how key ecological assets respond to drivers of change, particularly where these can be managed. This is critical for ensuring that all ecosystem components are managed and that these do not shift into undesirable states.
Spatial–temporal dynamics of gesture–speech integration: a simultaneous EEG-fMRI study
<p>The semantic integration between gesture and speech (GSI) is mediated by the left posterior temporal sulcus/middle temporal gyrus (pSTS/MTG) and the left inferior frontal gyrus (IFG). Evidence from electroencephalography (EEG) suggests that oscillations in the alpha and beta bands may support processes at different stages of GSI. In the present study, we investigated the relationship between electrophysiological oscillations and blood-oxygen-level-dependent (BOLD) activity during GSI. In a simultaneous EEG-fMRI study, German participants (n = 19) were presented with videos of an actor either performing meaningful gestures in the context of a comprehensible German (GG) or incomprehensible Russian sentence (GR), or just speaking a German sentence (SG). EEG results revealed reduced alpha and beta power for the GG vs. SG conditions, while fMRI analyses showed BOLD increase in the left pSTS/MTG for GG > GR ∩ GG > SG. In time-window-based EEG-informed fMRI analyses, we further found a positive correlation between single-trial alpha power and BOLD signal in the left pSTS/MTG, the left IFG, and several sub-cortical regions. Moreover, the alpha-pSTS/MTG correlation was observed in an earlier time window in comparison to the alpha-IFG correlation, thus supporting a two-stage processing model of GSI. Our study shows that EEG-informed fMRI implies multiple roles of alpha oscillations during GSI, and that the method is a best candidate for multidimensional investigations on complex cognitive functions such as GSI.</p>
GazeMining: A Dataset of Video and Interaction Recordings on Dynamic Web Pages. Labels of Visual Change, Segmentation of Videos into Stimulus Shots, and Discovery of Visual Stimuli.
<p><strong>Recording setup</strong><br> Recordings have been taken place on 12th March 2019. Gaze data has been recorded with a Tobii 4C eye tracker with Pro license at 90 Hz. Resolution of the viewport was set to 1024x768. The display had a size of 24 inches and a resolution of 1680x1050 pixels. We polled the DOM tree every 50 milliseconds for fixed elements. We recorded the Web browsing of four participants, who followed the protocol as stored under "Dataset_visual_change/Instructions.doc".</p> <p><strong>Description of the dataset</strong><br> The dataset consists of following three subsets.</p> <p><em>1. Dataset_visual_change</em><br> The recordings of each participant p1-p4 on twelve Web sites are in the corresponding directories. For each Web site, there are nine to eleven files:</p> <ul> <li><site>.json: datacast</li> <li><site>.webm: video recording</li> <li><site>.features.csv: computer-vision features per observation</li> <li><site>.features_meta.csv: meta information about features</li> <li><site>.labels-l<X>.csv: labels of observations</li> <li><site>_meta.csv: meta information about recording</li> <li><site>_scroll_cache.csv: cache of estimated scrolling</li> <li><site>_scroll_cache_map.csv: mapping of observations to scroll cache entries</li> <li><site>_times.csv: timestamps of frames in the video recording</li> <li><site>_layer_pixels.csv: first row is the pixel count of root layer, second row is pixel count of all fixed elements</li> </ul> <p><em>2. Dataset_stimuli</em><br> Stimulus shots and visual stimuli computed with the framework. Value-based, edge-based, signal-based, and SIFT-based features have been used. The labels of the first participant's session had been used to train a random forest classifier with 100 trees for visual change classification, using the named features. The discovery has been performed on each Web site from the dataset and<br> the results are placed in the respective directories. Inside each directory, there is one directory for the detected shots and one for the discovered stimuli. In the shots directory, there is one overview as <participant>_<site>.csv file. For each shot, there are four further files:</p> <ul> <li><participant>_<site>_<shot>.png: stitched frame of the stimulus shot</li> <li><participant>_<site>_<shot>-blind.csv: frames from animations that are not contributing to the stitched frame</li> <li><participant>_<site>_<shot>-gaze.csv: gaze data (in stitched frame space)</li> <li><participant>_<site>_<shot>-mouse.csv: mouse data (in stitched frame space)</li> </ul> <p>The shots have been merged to stimuli, which are placed in the stimuli directory. The stimuli are grouped per layer (scrollable, fixed elements, etc.) and meta information is available in <layer_index>-<xpath>-meta.csv files. Furthermore, there are directories per layer, storing the discovered stimuli. Each discovered visual stimulus is represented by four files:</p> <ul> <li><stimulus_id>.png: stitched frame of the visual stimulus</li> <li><stimulus_id>-gaze.csv: gaze data (in stitched frame space)</li> <li><stimulus_id>-mouse.csv: mouse data (in stitched frame space)</li> <li><stimulus_id>-shots.csv: contained stimulus shots</li> </ul> <p><em>3. Dataset_evaluation</em><br> We have performed two evaluations of the visual stimuli discovery. One computational estimating the quality of stimuli. One case-study of an expert's task. There are two respective directories with the annotation data.</p> <p><strong>Changelog</strong><br> [1.0.2] Add counts of layer pixels per participant.<br> [1.0.1] Change to CC0 license.<br> [1.0.1] Add labels of third annotator "l3".<br> [1.0.0] Initial release.</p>
Data from: Recurrent circuit dynamics underlie persistent activity in the macaque frontoparietal network
<p>During delayed oculomotor response tasks, neurons in the lateral intraparietal area (LIP) and the frontal eye fields (FEF) exhibit persistent activity that reflects the active maintenance of behaviorally relevant information. Despite many computational models of the mechanisms of persistent activity, there is a lack of circuit-level data from the primate to inform the theories. To fill this gap, we simultaneously recorded ensembles of neurons in both LIP and FEF while macaques performed a memory-guided saccade task. A population encoding model revealed strong and symmetric long-timescale recurrent excitation between LIP and FEF. Unexpectedly, LIP exhibited stronger local functional connectivity than FEF, and many neurons in LIP had longer network and intrinsic timescales. The differences in connectivity could be explained by the strength of recurrent dynamics in attractor networks. These findings reveal reciprocal multi-area circuit dynamics in the frontoparietal network during persistent activity and lay the groundwork for quantitative comparisons to theoretical models.</p>
Molecular Dynamics simulation data of Cyt c at pH 7 at the water|TFT interface
<p>Programmed cell death via apoptosis is a natural defence against excessive cell division, crucial for foetal development to maintenance of homeostasis and elimination of precancerous and senescent cells. Here we demonstrate an electrified liquid bio-interface that replicates the molecular machinery of the inner mitochondrial membrane at the onset of apoptosis. By mimicking in vivo cytochrome c (Cyt c) interactions with cell membranes, our platform allows us to modulate the conformational plasticity of the protein by simply varying the electrochemical environment at an aqueous|organic interface. Remarkably, we observe interfacial electron transfer between an organic electron donor decamethylferrocene and O2, electrocatalysed by Cyt c. This interfacial reaction requires partial Cyt c unfolding, mimicking Cyt c in vivo peroxidase activity. As proof-of-concept, we use our electrified liquid bio-interface to identify drug molecules, such as bifonazole, that can potentially downregulate Cyt c and protect against uncontrolled neuronal cell death in neurodegenerative disorders.</p>
Model data for: Drawdown of atmospheric pCO2 via dynamic particle export stoichiometry in the ocean twilight zone
<p>Understanding the global carbon cycle is key to understanding the climate system. One of the large unknowns is the processes happening in the twilight zone of the ocean. Here, we focus on how elemental stoichiometry of particulate organic matter in the twilight zone affects the strength of the biological pump and atmospheric CO2. We show through modeling that atmospheric CO2 is very sensitive to the change in C:P ratio in the twilight zone. Numerous model studies study the link between the carbon cycle and flexible elemental stoichiometry of organic matter in the surface ocean. However, our model study is unique. It investigates the effects of stoichiometric changes both at the surface and in the subsurface ocean that also involve stoichiometric interaction between phytoplankton and zooplankton.<br> <br> We use a 3D numerical model to illustrate how C:P variability in the twilight zone can significantly modulate the strength of carbon sequestration and atmospheric CO2. We used the biogeochemical model MOPS (Kriest and Oschlies, Geosci. Model Dev., 8, 2929–2957, 2015) coupled to ECCO Transport Matrices.</p> <p>This repository contains model input and output files for each sensitivity run outlined in the paper. The run ID corresponds to different sensitivity run. See README for more details. </p>
Knowledge-intensive firms, connectivity and spatial restructuring: dynamics and differences in Germany and Switzerland
<p>This dataset is based on the interlocking network model developed by the Globalization and World Cities Study Group (GaWC) at Loughborough University (Taylor 2004). It provides one specific way to address the question how inter‐city relations can be empirically measured despite the chronic lack of data on inter‐city information flows. The model uses a proxy – intra‐firm networks of multi‐branch, multi‐location enterprises – to estimate potential flows of knowledge‐creating information between cities and towns. The method was originally developed to measure the connectivity between global cities based on multi‐branch advanced producer services (APS) firms as they organize business activities across their offices worldwide. In this dataset, the model is adapted to measure relations between functional urban areas (FUAs) within and beyond the German and Swiss space economy, for both APS and High-Tech firms. In contrast to the original methodology, in this dataset the company locations were localized by the exact, georeferenced address, not only on the level of FUAs.</p> <p>The present dataset is created as part of the SNF research project “Knowledge-intensive firms, connectivity<br> and spatial restructuring: dynamics and differences in Germany and Switzerland”.</p>
Dynamic loading of human engineered heart tissue enhances contractile function and drives a desmosome-linked disease phenotype (TEM data)
<p>This is the TEM imaging data for the desmosome analysis as reported in the manuscript titled "Dynamic loading of human engineered heart tissue enhances contractile function and drives a desmosome-linked disease phenotype."</p>
Limited sink but large storage: biomass dynamics in naturally developing beech (Fagus sylvatica) and oak (Quercus robur, Quercus petraea) forests of northwestern Germany
<p>1. Currently, the dynamics underlying the storage and acquisition of biomass, and thus carbon, in naturally developing forests are under debate. A better understanding of the biomass dynamics of forests is needed to clarify the role played by naturally developing forests in the mitigation of climate change.</p> <p>2. Long-term monitoring data from unmanaged strict forest reserves (SFRs) in northwestern Germany were used to analyze the biomass dynamics of pure beech, mixed beech, and mixed oak forests. A complete balance of aboveground woody biomass (biomass) and growth, density-dependent and -independent mortality, as well as deadwood decay was derived. Density-independent mortality served as a proxy for disturbance severity.</p> <p>3. After a time of abandonment (TSA) of 50 years, the average biomass ranged between 334 t ha-1 in mixed oak and 478 t ha-1 in pure beech stands. The net change in biomass was positive in all forest types. Density-independent mortality and decay rates were much lower than the growth rates. Pure beech forests reached higher levels of biomass, a higher net change in biomass, and more growth than either of the mixed forest type. Biomass increased linearly with TSA in pure beech stands but followed an asymptotic course in the mixed forests. In the latter, the net change in biomass and growth were consistent with a unimodal development pattern. The development of biomass could not be explained by the aging of the tree communities.</p> <p>4. Synthesis: We hypothesized that the observed biomass dynamics is a result of the interaction between resource supply within a limited growing space and the resource-use efficiency of the tree stand in conjunction with disturbances. The still-linear increase in the biomass of pure beech forests was assumed to reflect the high resource-use efficiency of beech, especially its use of light. The aboveground capacity of naturally developing broadleaved forests to store and acquire biomass, and thus carbon, is substantial. Accordingly, allowing broadleaved forests to develop naturally can contribute substantially to carbon storage and sequestration. However. our study also suggests that the aboveground carbon sink decreases after several decades.</p>
Data from: Current geography masks dynamic history of gene flow during speciation in northern Australian birds
Genome divergence is greatly influenced by gene flow during early stages of speciation. As populations differentiate, geographical barriers can constrain gene flow and so affect the dynamics of divergence and speciation. Current geography, specifically disjunction and continuity of ranges, is often used to predict the historical gene flow during the divergence process. We test this prediction in eight meliphagoid bird species complexes codistributed in four regions. These regions are separated by known biogeographic barriers across northern Australia and Papua New Guinea. We find that bird populations currently separated by terrestrial habitat barriers within Australia and marine barriers between Australia and Papua New Guinea have a range of divergence levels and probability of gene flow not associated with current range connectivity. Instead, geographic distance and historical range connectivity better predict divergence and probability of gene flow. In this dynamic environmental context, we also find support for a nonlinear decrease of the probability of gene flow during the divergence process. The probability of gene flow initially decreases gradually after a certain level of divergence is reached. Its decrease then accelerates until the probability is close to zero. This implies that although geographic connectivity may have more of an effect early in speciation, other factors associated with higher divergence may play a more important role in influencing gene flow midway through and later in speciation. Current geographic connectivity may then mislead inferences regarding potential for gene flow during speciation under a complex and dynamic history of geographic and reproductive isolation.
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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.