Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,669
datasets available to search
ShareScore release 0.9.0
Dataset results
4,669 results for “Environment;”
From: Soil fauna accelerate litter mixture decomposition globally, especially in dry environments
<p>More than half of net primary production in terrestrial ecosystems returns to the soil through leaf litter fall and decomposition. In terrestrial ecosystems, litter constitutes a mixture of mainly senescent foliage from multiple species. Yet, the effect of litter mixing on litter decomposition rate remains ambiguous. Quantification of the soil fauna contribution and inclusion of their interaction with litter could remove the prevailing ambiguity, as soil fauna might influence the direction and magnitude of litter mixture effects on decomposition.</p> <p>We carried out a global meta-analysis to elucidate how soil fauna influenced litter mixture decomposition rate based on 55 published studies with 873 fauna inclusion/exclusion comparisons in field litterbag experiments. We hypothesized that soil fauna inclusion in litter mixture experiments would cause a positive change in the magnitude of mixed litter decomposition. That is, the presence of soil fauna would lead to synergistic litter mixture effects while the absence of soil fauna would lead to antagonistic litter mixture effects. Furthermore, we hypothesized that soil fauna would have a greater positive impact on the litter mixture effect in environments with low precipitation.</p> <p>While litter mixture had a neutral effect on decomposition on average across studies, non-additive mixture effects were common, with a key role for soil fauna, which generally enhanced decomposition rate compared to the component single species litters. In contrast, fauna exclusion resulted in a diminished decomposition rate overall. The overall synergistic soil fauna effect on litter mixture decomposition increased under low precipitation. Under high precipitation, the litter mixture effect was positive in the absence of soil fauna but non-significant in the presence of fauna. Climate imposes a great effect on litter mixture, with synergistic effects increasing towards the equator.</p> <p>Synthesis: These results highlight the importance of soil fauna in mixed litter decomposition, most strongly in dry environments. In this era of global climate change, where some regions are projected to become drier, soil fauna might compensate the expected slower decomposition of litter by increasingly enhancing litter mixture decomposition. </p>
Pub environment
<p>An audio-visual model a pub in Oldenburg, Germany. The model has been created for a highly accurate acoustic rendering over loudspeaker arrays and headphones and for visual representation in virtual reality. The package encompasses an accurate spatial geometric model of the pub, which can be used for acoustic simulations, and a visual model for virtual reality. It further includes a definition of an acoustic scene for the purpose of audiology and hearing research together with the associated measurements of the acoustic impulse responses using a binaural recording system (binaural room impulse responses), a tetrahedral and omnidirectional microphones.</p> <p> </p> <p>The 3D model was developed by Maartje Hendrikse.</p>
Environmental variability as a predictor of behavioral flexibility in urban environments
<p>Global urbanization processes have highlighted the importance of understanding the effects of urban habitats on animal behavior. Behavioral changes are usually evaluated along an urbanization gradient, comparing urban and rural populations. However, this metric fails to consider heterogeneity between urban habitats that can differ significantly in their characteristics, such as their level of environmental variability. We suggest incorporating dimensions of environmental variability into the urbanization metric. We tested the importance of both level of urbanization and level of urban stability (the rate of anthropogenic changes) on animals' behavioral flexibility by comparing reversal learning abilities in house sparrows from sites differing in the rate of urban development over time. We show that at least for males, urban stability better explains levels of behavioral flexibility than urbanization level. We further show that urban stability corresponds to other behavioral traits such as scrounging behavior and foraging activity. Thus, considering environmental stability and predictability in the form of urban changes can help better understand the mechanisms allowing behavioral changes and adaptations to urban environments. Evaluating the dynamics of the urban built environment could provide a better metric with which to understand urbanization effects on wildlife behavior and an important next step in urban ecology.</p>
DeepCollision: Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions
<p>With the aim to test autonomous driving systems, we propose a novel reinforcement learning (RL)-based approach named <strong>DeepCollision </strong>to learn operating environment configurations of autonomous vehicles, including formalizing environment configuration learning as an MDP and adopting DQN algorithm as the RL solution; <strong>DeepCollision</strong> learns environment configurations to maximize collisions of an Autonomous Vehicle Under Test (AVUT).</p> <p>This dataset contains:</p> <ol> <li><strong>algorithms</strong> - The algorithm of DeepCollision, which includes the network architecture and the DQN hyperparameter settings;</li> <li><strong>pilot-study</strong> - All the raw data and plots for the pilot study;</li> <li><strong>formal-experiment</strong> - A dataset contains all the raw data for analysis and the scenarios with detailed demand values;</li> <li><strong>rest-api</strong> - The REST API endpoints for environment configuration and one <strong>example </strong>to show the usage of the APIs.</li> </ol>
Script and data used in: A lot of convergence, a bit of divergence: environment and interspecific interactions shape body color patterns in Lissotriton newts
<p>Coexistence with related species poses evolutionary challenges to which populations may react in diverse ways. When exposed to similar environments, sympatric populations of two species may adopt similar phenotypic trait values. However, selection may also favor trait divergence as a way to reduce competition for resources or mates. The characteristics of external body parts, such as coloration and external morphology, are involved to varying degrees in intraspecific signaling as well as in the adaptation to the environment, and consequently may be diversely affected by interspecific interactions in sympatry. Here, we studied the effect of sympatry on various color and morphological traits in males and females of two related newt species <i>Lissotriton helveticus</i> and <i>L. vulgaris</i>. Importantly, we did not only estimate how raw trait differences between species respond to sympatry, but also the marginal responses after controlling for environmental variation. We found that dorsal and caudal coloration converged in sympatry, likely reflecting their role in adaptation to local environments, especially concealment from predators. In contrast, aspects of male and female ventral coloration, which harbours sexual signals in both species, diverged in sympatry. This divergence may reduce opportunities for interspecific sexual interactions and the associated loss of energy, suggesting reproductive character displacement (RCD). Our study emphasizes the contrasting patterns of traits involved in different functions and calls for the need to consider this diversity in evolutionary studies.</p>
Supplementary data for the publication of Characterization of Emissions in Fab Labs: an Additive Manu-facturing Environment Issue
<p>Datasets for the publication of the article "Characterization of Emissions in Fab Labs: an Additive Manufacturing Environment Issue":</p> <p>- Ultrafine Particles: UFP per Zone and mode;</p> <p>- VOC emissions: VOC per Zone and mode.</p>
Fluctuating exposures to UV radiation and Erythromycin result in increased mean and variance in fitness in novel environments
<p>List of non-synonymous mutations identified in populations subjected to UV radiation and Erythromycin. Mutations identified in whole-population as well as in sub-populations resistant to either rifampicin or nalidixic acid are listed in separate files.</p>
Figure data for "From the top of Martian Olympus to Deep Craters and Beneath: Mars Radiation Environment under Different Atmospheric and Regolith Depths"
<p>Include data underlying figures of the article "From the top of Martian Olympus to Deep Craters and Beneath: Mars Radiation Environment under Different Atmospheric and Regolith Depths" by Zhang & Guo et. al in 2022 at Journal of Geophysical Research - Planets. </p>
Data from: Rich resource environment of fish farms facilitates phenotypic variation and virulence in an opportunistic fish pathogen
<p><span>Phenotypic variation is suggested to facilitate the persistence of environmentally growing pathogens under environmental change. Here we hypothesized that the intensive farming environment induces higher phenotypic variation in microbial pathogens than natural environment, because of high stochasticity for growth and stronger survival selection compared to the natural environment. We tested the hypothesis with an opportunistic fish pathogen <em>Flavobacterium columnare</em> isolated either from fish farms or from natural waters. We measured growth parameters of two morphotypes from all isolates in different resource concentrations and two temperatures relevant for the occurrence of disease epidemics at farms and tested their virulence using a zebrafish (<em>Danio rerio</em>) infection model. According to our hypothesis, isolates originating from the fish farms had higher phenotypic variation in growth between the morphotypes than the isolates from natural waters. The difference was more pronounced in higher resource concentrations and the higher temperature, suggesting that phenotypic variation is driven by the exploitation of increased outside-host resources at farms. Phenotypic variation of virulence was not observed based on isolate origin but only based on morphotype. However, when in contact with the larger fish, the less virulent morphotype of some of the isolates also had high virulence. As the less virulent morphotype also had higher growth rate in outside-host resources, the results suggest that both morphotypes can contribute to <em>F. columnare</em> epidemics at fish farms, especially with current prospects of warming temperatures. Our results suggest that higher phenotypic variation per se does not lead to higher virulence, but that environmental conditions at fish farms could select isolates with high phenotypic variation in bacterial population and hence affect evolution in <em>F. columnare</em> at fish farms. Our results highlight the multifaceted effects of human-induced environmental alterations in </span><span>shaping epidemiology and evolution in microbial</span><span> pat</span><span>hogens.</span></p> <p> </p>
Videos belonging to Manuscript:"Prior experience of captivity affects behavioural responses to 'novel' environments"
<p>Three one minute video clips to show the different behaviours measured on wild caught great tits (<em>Parus major</em>):</p> <p>1) in the exploration room (RoomExploration_1minclip_bird676935V)</p> <p>2) in the exploration cage (Exploration_cage_1minclip_G373)</p> <p>3) the social response behaviour towards a mirror (Mirror_cage_1minclip_G373)</p> <p> </p> <p><em>Ethics</em></p> <p>All experiments complied with Finnish law on animal experimentations. Permits for the capture and use of great tits in experiments were granted by the Central Finland Centre for Economic Development Transport and Environment (ELY; VARELY/294/2015) and licensed from the National Animal Experiment Board (ESAVI/9114/04.10.07/2014).</p>
Environment regimes play an important role in structuring trait- and taxonomy-based temporal beta diversity of riverine diatoms
<p>This dataset is from the manuscript '<span>Environment regimes play an important role </span><span>in structuring trait-and taxonomy-based temporal beta diversity of riverine </span><span>diatoms</span>' whereby daily riverine diatom data, flow, nutrients and metal ions data were used to examine <span>i) the relative roles of turnover and nestedness components to trait- and taxonomy-based temporal beta diversity of riverine diatoms; ii) whether trait-based temporal beta diversity provides complementary information to taxonomy-based temporal beta diversity; iii) the relative roles of hydrology (e.g., discharge, </span><span>antecedent precipitation index</span><span>), metal ions (e.g., </span><span>Mg2+, Si2+), and nutrients (e.g., nitrogen, orthophosphate) to the both facets of temporal beta diversity and their components (i.e., total beta diversity, turnover, and nestedness); and iv) whether inclusion of environment regimes increase their explained variations. Therefore, t</span>his dataset contains three different data: 1) daily species composition (date*species); 2) species trait (species * traits); 3) environmental variables (date*environmental variables). </p>
MM-Office Dataset: multi-view and multi-modal dataset in an office environment
<p>MM-office is a multi-view and multi-modal dataset in an office environment (MM-Office) that records events, e.g., 'enter' to the office room, 'sit down' on the chair, and 'take out' something from a shelf, in the room assuming the daily work. These events are recorded simultaneously using eight non-directional microphones and four cameras. The audio and video clips are divided into scenes, each about 30 to 90 seconds. The amount of data was 880 clips per point and sensor. The labels available for training are given as multi-labels that indicate which each clip contains what event. Only the test data is annotated with a strong label containing the onset/offset time of each event.</p> <p>License: see the file named LICENSE.pdf</p> <p>Further information is available at [1] and Github: https://github.com/nttrd-mdlab/mm-office</p> <p>[1] Masahiro Yasuda, Yasunori Ohishi, Shoichiro Saito, Noboru Harada “Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion,” in IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), 2022.</p>
FOA-MEIR Dataset: multi-environment impulse response recordings with a first-order ambisonic microphone
<p>FOA-MEIR is an impulse response (IR) dataset recorded in over 100 environments for use in sound event localization and detection (SELD) tasks. This dataset is set up to develop a robust SELD system in an unknown environment, and the IRs for the inferred environment are recorded at a different location from that of training data. The dataset also contains dry source recordings that can be combined with IR recordings to generate audio clips for training the SELD task.</p> <p>License: see the file named LICENSE.pdf</p> <p>Further information is available at [1] and Github: https://github.com/nttrd-mdlab/seld-foa-meir<br> <br> [1] Masahiro Yasuda, Yasunori Ohishi, Shoichiro Saito, “Echo-aware Adaptation of Sound Event Localization and Detection in Unknown Environments,” in IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), 2022.</p>
Quantifying heritability and estimating evolutionary potential in the wild when individuals that share genes also share environments
<p>Accurate heritability estimates for fitness-related traits are required to predict an organism's ability to respond to global change. Heritability estimates are theoretically expected to be inflated if, due to limited dispersal, individuals that share genes are also likely to share similar environments. However, if relatives occupy similar environments due, at least partly, to genetic variation for habitat selection, then accounting for environmental similarity in quantitative genetic models may result in diminished heritability estimates in wild populations. This potential issue has been pointed out in the literature, but has not been evaluated by empirical studies.<br><br>Here, we investigate whether environmental similarity among individuals can be partly explained by genetic variation for habitat selection, and how this link potentially blurs estimates for heritability in fitness-related traits.<br><br>Using intensive GPS-monitoring, we quantified home-range habitat composition for 293 roe deer inhabiting a heterogeneous landscape to assess environmental similarity. To investigate if environmental similarity might harbour genetic variation, we combined genome-wide data in a quantitative genetic framework to evaluate genetic variation for home-range habitat composition, which is partly the result of habitat selection at settlement. Finally, we explored how environmental similarity affects heritability estimates for behaviours related to the risk avoidance-resource acquisition trade-off (i.e. being in open habitat, distance to roads) and proxies of individual performance (i.e. body mass, hind foot length). We found substantial heritability for home-range habitat composition, with estimates ranging from 0.40 (proportion of meadows) to 0.85 (proportion of refuge habitat). Accounting for similarity in habitat composition between relatives decreased the heritability estimates for both behavioural and morphological traits (reduction ranging from 55% to 100% and from 22% to 41%, respectively). As a consequence, only half of these heritability estimates remained significantly different from zero.<br><br>Our results show that similar genotypes occupy similar environments, which could lead to heritable variation being incorrectly attributed to environmental effects. To accurately distinguish the sources of phenotypic variation and predict the ability of organisms to respond to global change, it is necessary to develop quantitative genetic studies investigating the mechanisms underpinning environmental similarity among relatives.</p>
Data from: Effective specialist or jack of all trades? Experimental evolution of a crop pest in fluctuating and stable environments
<p>Understanding pest evolution in agricultural systems is crucial for developing effective and innovative pest control strategies. Types of cultivation, such as crop monocultures versus polycultures or crop rotation, may act as a selective pressure on pests' capability to exploit the host's resources. In this study, we examined the herbivorous mite <em>Aceria tosichella</em> (commonly known as wheat curl mite), a widespread wheat pest, to understand how fluctuating versus stable environments influence its niche breadth and ability to utilize different host plant species. We subjected a wheat-bred mite population to replicated experimental evolution in a single-host environment (either wheat or barley), or in an alternation between these two plant species every three mite generations. Next, we tested the fitness of these evolving populations on wheat, barley, and on two other plant species not encountered during experimental evolution, namely rye and smooth brome. Our results revealed that the niche breadth of <em>A. tosichella</em> evolved in response to the level of environmental variability. The fluctuating environment expanded the niche breadth by increasing the mite's ability to utilize different plant species, including novel ones. Such an environment may thus promote flexible host-use generalist phenotypes. However, the niche expansion resulted in some costs expressed as reduced performances on both wheat and barley as compared to specialists. Stable host environments led to specialized phenotypes. The population that evolved in a constant environment consisting of barley increased its fitness on barley without the cost of utilizing wheat. However, the population evolving on wheat did not significantly increase its fitness on wheat, but decreased its performance on barley. Altogether, our results indicated that, depending on the degree of environmental heterogeneity, agricultural systems create different conditions that influence pests' niche breadth evolution, which may in turn affect the ability of pests to persist in such systems.</p>
Data Corpus for the IEEE-AASP Challenge on the Acoustic Characterization of Environments (ACE)
<p>The aim of this challenge was to evaluate state-of-the-art algorithms for blind acoustic parameter estimation from speech and to promote the emerging area of research in this field.</p> <p>Several established parameters and metrics have been used to characterize the acoustics of a room. The most important are the Direct-To-Reverberant Ratio (DRR), the Reverberation Time (<em>T60</em>) and the reflection coefficient. The acoustic characteristics of a room based on such parameters can be used to predict the quality and intelligibility of speech signals in that room. Recently, several important methods in speech enhancement and speech recognition have been developed that show an increase in performance compared to the predecessors but do require knowledge of one or more fundamental acoustical parameters such as the <em>T60</em>. Traditionally, these parameters have been estimated using carefully measured Acoustic Impulse Responses (AIRs). However, in most applications it is not practical or even possible to measure the acoustic impulse response. Consequently, there is increasing research activity in the estimation of such parameters directly from speech and audio signals.</p> <p><strong>Documentation and software</strong></p> <ul> <li>Corpus instructions including software operating instructions</li> <li>Software to generate new datasets from the corpus materials (Matlab)</li> <li><em>T</em>60 and DRR measurements in fullband and <a href="http://www.iso.org/iso/catalogue_detail.htm?csnumber=1350">ISO-266</a> preferred frequency bands</li> <li>Room dimensions and approximate positions of microphones and sources</li> </ul> <p><strong>Anechoic speech</strong></p> <p>Comprising Development (Dev): 4 male talkers, 2 utterances each, and Evaluation (Eval): 5 male and 5 female talkers, 5 utterances each, recorded using the anechoic chamber at <a href="http://www.tudelft.nl/en/">TU Delft</a> at <em>fs</em>=48 kHz in 16-bit format. Plain text (.txt) transcriptions of each .wav file are included.</p> <p><strong>RIRs and noise by microphone configuration</strong></p> <p>Each archive below contains the set of <em>fs</em>=48 kHz 16-bit RIRs, ambient, fan and babble noise .wav files for each room and microphone position for that microphone configuration, recorded in 7 different rooms in the <a href="http://www3.imperial.ac.uk/electricalengineering">Dept. of Electrical and Electronic Engineering at Imperial College London</a>.</p> <p>The corpus comprises the following components:</p> <ul> <li>Single-channel (based on cruciform channel 1) 417 MB</li> <li>2-channel laptop 1.05 GB</li> <li>3-channel mobile 1.59 GB</li> <li>5-channel cruciform 2.84 GB</li> <li>8-channel linear 4.24 GB</li> <li>32-channel spherical 14.2 GB</li> </ul> <p>The corpus and the ACE Challenge are described in the following <a href="https://www.researchgate.net/publication/303854321_Estimation_of_room_acoustic_parameters_The_ACE_Challenge">journal paper</a>:</p> <ul> <li>J. Eaton; N. D. Gaubitch; A. H. Moore; P. A. Naylor, "Estimation of room acoustic parameters: The ACE Challenge," in <em><a href="http://ieeexplore.ieee.org/document/7486010/">IEEE/ACM Transactions on Audio, Speech, and Language Processing</a></em>, vol. 24, no.10, pp.1681-1693, Oct. 2016.</li> </ul> <p>Please cite this whenever you use any part of the corpus. BibTeX references are available here for the <a href="http://www.commsp.ee.ic.ac.uk/~sap/uploads/data/ACE/ACE_IEEE_ref.bib">journal paper</a> and <a href="http://www.commsp.ee.ic.ac.uk/~sap/uploads/data/ACE/ACE_Tech_ref.bib">technical report</a>.</p> <ul> </ul>
Environment driven changes in diversity of riparian plant communities along a mountain river
<p>The study of changes in species richness and composition along rivers has focused on large spatial scales. It has been ignored that in different sections of the river (high mountain area, middle zone and river mouth) the specific environmental conditions can generate different longitudinal patterns of the species richness and composition. In this study we determine if species richness and composition of the riparian plant communities change along a mountain river and if these changes are related with environmental variables. We expect an increase in species richness and turnover along the river, that the upstream communities would be a subset of the downstream communities and that such would be related to edaphic and hydrologic conditions. To test this, we sampled three strata of the riparian vegetation (upper: individuals with <1 cm of ND, middle: individuals with >1 cm of ND, low: individuals with >1 m tall) in a set 15 sites that we place along a mountain river. Additionally, we recorded topographic, hydrological, morphological, and soil variables. We performed correlation analyzes to determine if changes in species richness and turnover were related to increased distance to the origin of the river. Also, we obtained the nestedness and evaluated the importance of environmental variables with GLM, LASSO regression and CCA. With the increase in distance the species richness decreases in the upper stratum, but not in the middle and the low stratum (although the highest values were observed near the origin of the river), the turnover increase in all strata and the upstream communities were not a subset of the downstream communities. The changes in species richness and composition were related to topographic (altitude), hydrological (flow) and edaphic (conductivity and pH) variables. Our results indicate that at small spatial scales the patterns of richness and composition differ from what has been found at larger spatial scales and that these patterns are associated with environmental changes in the strong altitude gradients of mountain rivers.</p>
Ecological impacts of photosynthetic light harvesting in changing aquatic environments: A systematic literature map
<p>Underwater light is spatially as well as temporally variable and directly affects phytoplankton growth and competition. Here we systematically (following the guidelines of PRISMA-EcoEvo) searched and screened the published literature resulting in 640 individual articles. We mapped the conducted research for the objectives of (1) phytoplankton fundamental responses to light, (2) effects of light on the competition between phytoplankton species and (3) effects of climate change induced changes in the light availability in aquatic ecosystems. Among the fundamental responses of phytoplankton to light, the effects of light intensity (quantity, as measure of total photon or energy flux) were investigated in most identified studies. The effects of the light spectrum (quality) that via species-specific light absorbance result in direct consequences on species competition emerged more recently. Complexity in competition arises due to variability and fluctuations in light which effects are sparsely investigated on community level. Predictions regarding future climate change scenarios included changes in in stratification and mixing, lake and coastal ocean darkening, UV radiation, ice melting as well as light pollution which affect the underwater light-climate. Generalization of consequences is difficult due to a high variability, interactions of consequences as well as a lack in sustained timeseries and holistic approaches. Nevertheless, our systematic literature map, and the identified articles within, provide a comprehensive overview and shall guide prospective research.</p>
History and environment shape spatial genetic variation and predict climate maladaptation in a narrowly distributed serotinous pine, Pinus muricata
<p><span></span></p> <p>Understanding the distribution of genetic diversity and differentiation in species with disjunct and isolated populations is critical for assessing how environment shapes genetic variation and the potential response to climate change. In contrast to the large distributions and population sizes of most pine species, <em>Pinus muricata</em> (Bishop pine) occurs in a small number of isolated and disjunct populations occupying a narrow band of environmental conditions along the coast of western North America. We used genotyping by sequencing to generate population genomic data for trees sampled from nearly all existing populations of <em>P. muricata</em> (12 populations, 213 individuals, 7,828 loci) to describe the spatial arrangement of genetic differentiation and diversity. We used genetic-environment association (GEA) analyses to quantify the contribution of environmental variables to local adaptation and spatial genetic structure. Based on these results, we quantified relative levels of potential maladaptation given future climate projections at 2041 – 2060 and 2081 – 2100. Our analyses reveal pronounced spatial genetic structure across the distribution, with most populations forming genetically identifiable groups across a latitudinal gradient, and remarkable evidence for differentiation among three proximally distributed stands on Santa Cruz Island. Despite occurring in small, isolated populations, <em>P. muricata</em> do not exhibit strongly reduced diversity. GEA analyses suggested that specific soil and climate variables have contributed to local adaptation. Genomic offset analyses suggest geographic variation in potential maladaptation, with northern populations experiencing higher levels under projected climate change. Overall, our results suggest that isolation and local adaptation have shaped genetic variation among disjunct populations, and illustrate the consequences of this variation for <em>P. muricata</em> under projected climate change.</p>
Community composition of bacteria isolated from Swiss banknotes varies depending on collection environment
<p><span>Humans interact constantly with surfaces and associated microbial communities in the environment. The factors shaping the composition of these communities are poorly understood: some proposed explanations emphasize the influence of local habitat conditions (niche-based explanations), while others point to geographic structure and the distance among sampled locations (dispersal-based explanations). However, the relative roles of these different drivers for microbial community assembly on human-associated surfaces are not clear. Here, we used a combination of sampling, sequencing (16S rRNA) and culturing to show that the composition of banknote-associated bacterial communities varies depending on the local collection environment. Using banknotes collected from various locations and types of shops across Switzerland, we found taxonomic diversity dominated by families such as <em>Pseudomonadaceae</em> and <em>Staphylococcaceae</em>, but with banknote samples from particular types of shops (especially butcher shops) having distinct community structure. By contrast, we found no evidence of geographic structure: similarity of community composition did not decrease with increasing distance among sampled locations. These results show that microbial communities associated with banknotes, one of the most commonly encountered and exchanged human-associated surfaces, can reflect the local environmental conditions (in this case, the type of shop), and the signal for this type of variation was stronger than that for geographic structure among the locations sampled here.</span></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.