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1,956 results for “test data”
Data from: Exploring patterns of beta-diversity to test the consistency of biogeographical boundaries: a case study across forest plant communities of Italy
Aim. To date, despite their great potential biogeographical regionalization models have been mostly developed on descriptive and empirical bases. This paper aims at applying the beta-diversity framework on a statistically representative data set to analytically test the consistency of the biogeographical regionalization of Italian forests. Location. Italy Taxon. Vascular plants Methods. Forest plant communities were surveyed in 804 plots made in a statistically representative sample of forest communities, made by 201 sites of Italian forests across the three biogeographical regions of the country: Alpine, Continental, and Mediterranean. We conducted an ordination analysis and an analysis of beta diversity, decomposing it into its turnover and nestedness components. Results. Our results provide only partial support to the consistency of the biogeographical regionalization of Italy. While the differences in forest plant communities support the distinction between the Alpine and the other two regions, differences between Continental and Mediterranean regions had lower statistical support. Pairwise beta-diversity and its turnover component are higher between- than within biogeographical regions. This suggests that different regional species pools contribute to assembly of local communities and that spatial distance between-regions has a stronger effect than that within-regions. Main conclusions. Our findings confirm a biogeographical structure of the species pools that is captured by the biogeographical regionalization. However, non-significant differences between the Mediterranean and Continental biogeographical regions suggest that this biogeographical regionalization is not consistent for forest plant communities. Our results demonstrate that an analytical evaluation of species composition differences among regions using beta-diversity analysis is a promising approach for testing the consistency of biogeographical regionalization models. This approach is recommended to provide support to the biogeographic regionalization used in some environmental conservation polices adopted by EU.
The BrukerAPI test data set (Bruker ParaVision v5.1)
<p>This data set contains data from 32 experiments performed using the Bruker ParaVision v5.1 software. The purpose of this data set is to test the unified application programming interface to the Bruker data format - the <strong>BrukerAPI</strong>. See the software <a href="https://github.com/isi-nmr/brukerapi-python">repository</a> for more information.</p> <p>The data was measured using the following pulse sequences:</p> <ul> <li>FLASH.ppg</li> <li>MGE.ppg</li> <li>MSME.ppg</li> <li>RARE.ppg</li> <li>FAIR_RARE.ppg</li> <li>RAREVTR.ppg</li> <li>RAREst.ppg</li> <li>MDEFT.ppg</li> <li>FISP.ppg</li> <li>FLOWMAP.ppg</li> <li>DtiStandard.ppg</li> <li>EPI.ppg</li> <li>FAIR_EPI.ppg</li> <li>DtiEpi.ppg</li> <li>T1_EPI.ppg</li> <li>T2_EPI.ppg</li> <li>T2S_EPI.ppg</li> <li>SPIRAL.ppg</li> <li>DtiSpiral.ppg</li> <li>UTE.ppg</li> <li>UTE3D.ppg</li> <li>ZTE.ppg</li> <li>CSI.ppg</li> <li>FieldMap.ppg</li> <li>NSPECT.ppg</li> <li>PRESS.ppg</li> <li>STEAM.ppg</li> <li>igFLASH.ppg</li> </ul> <p>The data was measured by the NMR group at the Institute of Scientific Instruments of the Czech Academy of Sciences.</p> <p>Change Log:</p> <ul> <li>Version 1.0.0 <ul> <li>Initial release</li> </ul> </li> <li>Version 1.1.0 <ul> <li>Compressed NumPy arrays were added to each data set to enable data reading tests</li> </ul> </li> </ul>
Data from: Testing the thermal limits: Non-linear reaction norms drive disparate thermal acclimation responses in Drosophila melanogaster
Critical thermal limits are important ecological parameters for studying thermal biology and for modelling species' distributions under current and changing climatic conditions (including predicting the risk of extinction for species from future warming). However, estimates of the critical thermal limits are biased by the choice of assay and assay conditions, which differ among studies. Furthermore, estimates of the potential for phenotypic plasticity (thermal acclimation) to buffer against future warming are usually based on single assay conditions and (usually linear) extrapolation from a few acclimation temperatures. We produced high resolution estimates of adult acclimation capacity for upper tolerance limits at different assay conditions (ramping rates and knock-down temperatures) using CTmax (dynamic) and knock-down (static) thermal assays in the model species Drosophila melanogaster. We found the reaction norms to be highly dependent on assay conditions. We confirmed that progressively lower ramping rates or higher knock-down temperatures led to overall lower tolerance estimates. More surprisingly, extended assays (lower ramping rates or lower knock-down temperatures) also led to increasingly non-linear reaction norms for upper thermal tolerance across adult acclimation temperatures. Our results suggest that the magnitude (capacity) and direction (beneficial or detrimental) of acclimation responses are highly sensitive to assay conditions. The results offer a framework for comparison of acclimation responses between different assay conditions and a potential for explaining disparate acclimation capacity theories. We advocate cautious interpretation of acclimation capacities and careful consideration of assay conditions, which should represent realistic environmental conditions based on species' ecological niches.
Data from: Origins of global mountain plant biodiversity: testing the "mountain-geobiodiversity hypothesis"
Aim Our objective is to analyse global-scale patterns of mountain biodiversity (vascular plants) and the driving forces leading to the observed patterns. More specifically, we test the "mountain geobiodiversity hypothesis" (MGH) which is based on the assumption that it is not mountain-uplift alone which drives the evolution of mountain biodiversity, but rather the combination of geodiversity evolution and Neogene and Pleistocene climate changes. Hence, we address the following questions: 1) Do areas of high geodiversity and high biodiversity in mountains overlap, i.e., can mountain geodiversity predict mountain biodiversity? 2) What is the role of Pleistocene climate change in shaping mountain biodiversity? 3) Did diversification rate shifts occur predominantly with the onset of more pronounced climate fluctuations in the late Neogene and Pleistocene fostering a "species pump" effect, as predicted by the MGH? Location Global. Methods We used generalized linear models to test to what extent vascular plant species diversity in mountains can be explained by net primary productivity, geodiversity and Pleistocene climate fluctuations (i.e., changes in temperature between the Last Glacial Maximum (LGM) and today). In addition, we compiled dates of diversification rate shifts from mountain systems and investigated whether these shifts occurred predominantly before or after the global major climatic fluctuations of the late Neogene and Pleistocene. Results Both net primary productivity and elevation range show a positive relationship, whereas Pleistocene climatic fluctuations show a negative impact on plant species diversity. The availability of climatic niche space during the LGM differs markedly among mountain systems. Shifts to higher diversification rates or starts of radiations showed the highest concentration from the late Miocene towards the Pleistocene, supporting the MGH. The most commonly inferred drivers of diversification were key innovations, geological processes (uplift), and climate. Main conclusions Our analyses point towards an important role of historical factors, i.e., Pleistocene climatic changes, on mountain plant species richness. Mountain systems characterised by small elevational ranges and strong modifications of temperature profiles appear to harbour fewer radiations. In contrast, mountain systems with the largest elevational ranges and stronger overlap between today´s and LGM temperature profiles are also those where most plant radiations were identified.
Integrating QSAR models predicting acute contact toxicity and mode of action profiling in honey bees (A. mellifera): Data curation using open source databases, performance testing and validation
<p>This excel file (DOI: <a href="https://doi.org/10.5281/zenodo.3755675">https://doi.org/10.5281/zenodo.3755675</a>) provides the collection of raw data used for developing the first integrative Quantitative Structure-Activity Relationship (QSAR) model using EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase i) to predict acute contact toxicity (LD<sub>50</sub>) and ii) to profile the Mode of Action (MoA) of pesticides active substances in honey bees (<em>Apis mellifera</em>)<em>. </em>Chemical identifiers (e.g. SMILES, CAS n., InChI) and acute contact toxicity data (LD<sub>50</sub>) on honey bees were used to develop and validate i) a two-category QSAR model (toxic/non-toxic; n=411) (sensitivity =0.93), specificity =0.85), balanced accuracy =0.90), Matthews correlation coefficient MCC=0.78), and ii) a regression-based model (n=113) (R2=0.74; MAE=0.52). Similarly, current study proposes the first MoA profiling for 113 pesticides active substances and the first harmonised MoA classification scheme for acute contact toxicity in honey bees, including LD<sub>50s</sub> data points from three different databases such as EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase. Such classification allows to further define MoAs and the target site of Plant Protection Products (PPPs) active substances, thus enabling regulators and scientists to refine chemical grouping and toxicity extrapolations for single chemicals and component-based mixture risk assessment of multiple chemicals.</p> <p>The full data collection and analysis of QSAR models, toxicity data (LD<sub>50</sub>) and Mode of Action (Moa) data are described in Carnesecchi et al., 2020 (DOI: doi.org/10.1016/j.scitotenv.2020.139243).</p> <p>This work was supported by the European Food Safety Authority (EFSA) [contract number: OC/EFSA/SCER/2018/01 and NP/EFSA/AFSCO/2016/02 (Edoardo Carnesecchi)].</p>
Search-based Test Data Generation for Mutation Testing: a tool for Python programs
<p>Test data generation for mutation testing consists of identifying a set of inputs that maximizes the number of mutants killed. Mutation Testing is an excellent test criterion for detecting faults and measuring the effectiveness of test data sets. However, it is not widely used in practice due to the cost and complexity to perform some activities as generating test data. Although test suites can be produced and selected manually by a tester this practice is susceptible to errors and tools are needed to facilitate it. Several tools have been developed to automate mutation testing, but, only a few address the test data generation. The present paper proposes an automated test data generation tool based on weak mutation for Python programming language using the Hill Climbing algorithm. For evaluation, we performed an experiment concerning the effectiveness and cost computational of the tool in a database composed of 348 mutants and we compare it with random generation. Overall, the experiment achieved an average mutation score of 86% for our proposed tool and random testing 64% on average.</p>
Data from: Development and testing of an environmental DNA (eDNA) assay for endangered Atlantic sturgeon to assess its potential as a monitoring and management tool
<p>Significant declines in Atlantic sturgeon (<i>Acipenser oxyrhynchus oxyrhynchus</i>) abundances along the US east coast have spurred major research efforts and management actions over the last 50 years, yet information on spawning stock abundances and habitat use is still lacking for many river systems, including in the Chesapeake Bay, USA. Here, we developed and tested a new quantitative PCR (qPCR) assay to detect Atlantic sturgeon environmental DNA (eDNA) in water samples with the goal of providing an alternative method to monitor presence and relative abundance. We also examined Atlantic sturgeon eDNA shedding rates in laboratory experiments. A qPCR-probe assay targeting Cytochrome-B was developed and showed no amplification of other related and co-occurring fishes. Pond trials at a density of ~0.2 g/L sturgeon produced relatively strong eDNA detections (~1,000-25,000 copies/L) in all seven water samples assayed. Water samples taken from two river systems in the Chesapeake Bay produced zero eDNA detections in the summer, while fall sampling during sturgeon spawning produced positive eDNA detections in 26% of samples, though at much lower concentrations (400-1,800 copies/L) compared with the pond (mesocosm) detections. Acoustic detections of sturgeon near river sampling sites were positively associated with eDNA detections. However, the eDNA assay failed to detect the presence of sturgeon in some samples when abundances were very low or when fish were in deep water. Finally, Atlantic sturgeon eDNA shedding rates were estimated to be on the order of estimates for other fish species, which suggests that relatively weak detections in the field are not necessarily driven by low rates of eDNA shedding. Overall, eDNA analysis represents a promising new monitoring tool for Atlantic sturgeon. Applying these methods in other rivers along the US east coast is an important next step in documenting Atlantic sturgeon distribution for management and conservation purposes.</p>
Mantel and partial Mantel test data and scripts of mimetic evolution of Papilio polytes in the Ryukyu Islands, Japan
<p>Batesian mimicry is a striking example of Darwinian evolution, and the swallowtail butterfly <em>Papilio polytes</em> exhibits Batesian mimicry polymorphism. These <em>P. polytes</em> populations show various mimic ratios among the Ryukyu Islands in Japan. We conducted Mantel and partial Mantel tests regarding the possible relationship among the mimic ratio differences, geographic distances, and average genetic distances among five islands of the Ryukyus based on 259 single nucleotide polymorphisms (SNPs) from 93 individuals.</p>
Data from: Testing evolutionary explanations for the lifespan benefit of dietary restriction in fruit flies (Drosophila melanogaster)
<p>Dietary restriction (DR), limiting calories or specific nutrients without malnutrition, extends lifespan across diverse taxa. Traditionally, this lifespan extension has been explained as a result of diet-mediated changes in the trade-off between lifespan and reproduction, with survival favoured when resources are scarce. However, a recently proposed alternative suggests that the selective benefit of the response to DR is the maintenance of reproduction. This hypothesis predicts that lifespan extension is a side effect of benign laboratory conditions, and DR individuals would be frailer and unable to deal with additional stressors, and thus lifespan extension should disappear under more stressful conditions. We tested this by rearing outbred female fruit flies (<i>Drosophila melanogaster</i>) on 10 different protein:carbohydrate diets. Flies were either infected with a bacterial pathogen (<i>Pseudomonas entomophila</i>), injured with a sterile pinprick or unstressed. We monitored lifespan, fecundity and measures of ageing. DR extended lifespan and reduced reproduction irrespective of injury and infection. Infected flies on lower protein diets had particularly poor survival. Exposure to infection and injury did not substantially alter the relationship between diet and ageing patterns. These results do not provide support for lifespan extension under DR being a side effect of benign laboratory conditions.</p>
Data from: Changes in seed predation along a 2300-m elevational gradient on a tropical mountain in Myanmar: a standardized test with 32 non-native plant species
<p>It has been hypothesized that biotic interactions are stronger towards lower latitudes and elevations. However, results vary among interaction systems and experimental protocols. Our goal was to examine the validity of this prediction by using a standardized method to investigate seed–animal interaction. We assessed removal by animals for 40960 seeds belonging to 32 non-native tree species along an elevation gradient from 600 m to 2910 m on Mount Victoria (Nat Ma Taung), western Myanmar. We analyzed the elevational trends of seed removal at both individual seed level (probability of depot encounter, proportion of seeds removed after encounter and total proportion of seeds removed) and community level (Shannon diversity and species evenness indices). The dry and wet seasons had opposite relationships between seed removal and elevation,<br> i.e. hump-shaped in the dry season and U-shaped in the wet season. Individual plant species displayed almost all possible patterns: U-shaped and hump-shaped, monotonic decrease and increase, and elevation-independent patterns. As a consequence of the hump-shaped seed removal pattern with elevation in the dry season, the diversity and evenness of surviving seeds showed U-shaped patterns. Our study shows that elevational trends in seed–animal interactions do not follow a constant rule, but differ between seasons and among species, suggesting that a one-off survey with few species might give misleading information on overall macroecological patterns. Future studies of trends in biotic interactions along gradients should bear this in mind.</p>
Plume spreading test case data
<p>The plume test case output data from the models Thetis, FESOM-C and GETM are presented. Additionally, the key scripts to perform the numerical mixing analysis are provided.</p>
Data from: A test for rate-coupling of trophic and cranial evolutionary dynamics in New World bats
<p>Data supporting article Shi et al. 2021, Evolution: <a href="https://doi.org/10.1111/evo.14188">https://doi.org/10.1111/evo.14188</a></p> <p>Morphological evolution is often assumed to be causally related to underlying patterns of ecological trait evolution. However, few studies have directly tested whether evolutionary dynamics of and major shifts in ecological resource use are coupled with morphological shifts that may facilitate trophic innovation. Using diet and multivariate cranial (microCT) data, we tested whether rates of trophic and cranial evolution are coupled in the radiation of New World bats. <span>We developed a generalizable information-theoretic method for describing evolutionary rate heterogeneity across large candidate sets of multi-rate models of evolution, without relying on a single best-fitting model</span>. We found considerable variation in trophic evolutionary dynamics, in sharp contrast to a largely homogeneous cranial evolutionary process. This dichotomy is surprising given documented functional associations between overall skull morphology and trophic ecology. We suggest that assigning discrete trophic states may underestimate trophic generalism, and that this radiation could be characterized by generally labile crania that result in a homogeneous dynamic of overall high morphological rates. Overall, we discuss how trophic classification could substantively impact our interpretation of how these dynamics covary in adaptive radiations.</p>
Data from: Testing gradual and speciational models of evolution in extant taxa: the example of ratites
Ever since Eldredge and Gould proposed their model of punctuated equilibria, evolutionary biologists have debated how often this model is the best description of nature and how important it is compared to the more gradual models of evolution expected from natural selection and the neo-Darwinian paradigm. Recently, Cubo proposed a method to test whether morphological data in extant ratites are more compatible with a gradual or with a speciational model (close to the punctuated equilibrium model). As shown by our simulations, a new method to test the mode of evolution of characters (involving regression of standardized contrasts on their expected standard deviation) is easier to implement and more powerful than the previously proposed method, but the Mesquite module CoMET (aimed at investigating evolutionary models using comparative data) performs better still. Uncertainties in branch length estimates are probably the largest source of potential error. Cubo hypothesized that heterochronic mechanisms may underlie morphological changes in bone shape during the evolution of ratites. He predicted that the outcome of these changes may be consistent with a speciational model of character evolution because heterochronic changes can be instantaneous in terms of geological time. Analysis of a more extensive dataset confirms his prediction despite branch length uncertainties: evolution in ratites has been mostly speciational for shape-related characters. However, it has been mostly gradual for size-related ones.
Data from: Key innovations and island colonization as engines of evolutionary diversification: a comparative test with the Australasian diplodactyloid geckos
The acquisition of key innovations and the invasion of new areas constitute two major processes that facilitate ecological opportunity and subsequent evolutionary diversification. Using a major lizard radiation as a model, the Australasian diplodactyloid geckos, we explored the effects of two key innovations (adhesive toepads and a snake-like phenotype) and the invasion of new environments (island colonization) in promoting the evolution of phenotypic and species diversity. We found no evidence that toepads had significantly increased evolutionary diversification, which challenges the common assumption that the evolution of toepads has been responsible for the extensive radiation of geckos. In contrast, a snakelike phenotype was associated with increased rates of body size evolution and, to a lesser extent, species diversification. However, the clearest impact on evolutionary diversification has been the colonization of New Zealand and New Caledonia, which were associated with increased rates of both body size evolution and species diversification. This highlights that colonizing new environments can drive adaptive diversification in conjunction or independently of the evolution of a key innovation. Studies wishing to confirm the putative link between a key innovation and subsequent evolutionary diversification must therefore show that it has been the acquisition of an innovation specifically, not the colonization of new areas more generally, that has prompted diversification.
Data from: Are house sparrow populations limited by the lack of cavities in urbanized landscapes? an experimental test.
Current urban policies are associated with deep changes in urban structures, which may impoverish urban biodiversity. A major concern is the disappearance of nesting sites for wild vertebrate species living in urban areas. New urban structures without any cracks or cavities may especially preclude cavity nesters from breeding in cities and they may cause population declines. In that context, we experimentally investigated this question in an urban exploiter bird species (the house sparrow, Passer domesticus), which is dramatically declining in most European cities. To test if the lack of cavities is limiting house sparrow populations in urban areas, we equipped 11 sites along an urbanization gradient with nest boxes and we then evaluated the rate of occupancy of these nest-boxes. This urbanization gradient was characterized by very rural places (isolated farms) and moderately urbanized areas (town of medium size, i.e. 60 000 inhabitants). Surprisingly, rural nest boxes were more occupied than urban ones, suggesting that cavity availability is probably more constraining in rural areas relative to urban ones. Therefore, our study suggests that urban house sparrow populations are probably not constrained by a lack of nesting sites in medium size cities with urban designs similar to our city of interest (Niort, Western France). This hypothesis definitely needs now to be tested in further urban landscapes (e.g. large cities and urban landscapes with other architecture and management policies).
Data from: Conspicuous plumage does not increase predation risk: a continent-wide test using model songbirds
The forces shaping female plumage color have long been debated but remain unresolved. Females may benefit from conspicuous colors but are also expected to suffer costs. Predation is one potential cost, but few studies have explicitly investigated the relationship between predation risk and coloration. The fairy-wrens show pronounced variation in female coloration and reside in a wide variety of habitats across Australasia. Species with more conspicuous females are found in denser habitats, suggesting that conspicuousness in open habitat increases vulnerability to predators. To test this, we measured attack rates on 3D printed models mimicking conspicuously colored males and females, and dull females, in eight different fairy-wren habitats across Australia. Attack rates were higher in open habitats, and at higher latitudes. Contrary to our predictions, dull female models were attacked at similar rates to the conspicuous models. Further, the probability of attack in open habitats increased more for both types of female model than for the conspicuous male model. Across models, the degree of contrast (chromatic and achromatic) to environmental backgrounds was unrelated to predation rate. These findings do not support the long-standing hypothesis that conspicuous plumage, in isolation, is costly due to increased attraction of predators. Our results indicate that conspicuousness interacts with other factors in driving the evolution of plumage coloration.
Data from: Consumer interaction strength may limit the diversifying effect of intraspecific competition: a test in alewife (Alosa pseudoharengus).
Intraspecific competition is considered a principal driver of dietary variation, however, empirical studies provide mixed support for this mechanism. Here we link comparative and experimental work testing the effects of competition and resource availability on the dietary variation of alewife (Alosa pseudoharengus). Alewife, a consumer with extreme effects on its resources, are specifically utilized to additionally test the idea that that the strength of the interaction between a consumer and its resources may diminish the diversifying effect of competition. First, we compared the short- and long-term diet measures of from wild populations across a range of densities. Second, in a series of large-scale field mesocosm experiments we explored the influence of competition and interaction strength on alewife dietary variation. Results from the whole lake comparison and field experiments indicated that increasing competition was negatively correlated with population dietary variation. Further, altering the strength of the interaction between alewife and their prey via prey supplementation eliminated this negative relationship. Collectively, our results suggest that competitive interactions may not drive dietary diversification in highly effective consumers. Our results also suggest that further consideration of the strength of species interactions (and the consumer traits that underlie them) would improve our understanding of the link between intraspecific competition and variation
Data from: Real-time quantification of damage in structural materials during mechanical testing
A novel methodology is introduced for quantifying the severity and morphology of damage created during testing in composite components. The method utilises digital image correlation combined with image processing techniques to monitor the rate at which the strain field changes during mechanical tests. The methodology is demonstrated using two distinct experimental datasets, a ceramic matrix composite specimen loaded in tension at high temperature and nine polymer matrix composite specimens containing fibre-waviness defects loaded in bending. The changes in the strain field due to damage creation are shown to be a more effective indicator that the specimen has reached its proportional limit than using load-extension diagrams. The technique also introduces a new approach to using experimental data for creating maps showing the spatio-temporal distribution of damage in a component. These maps indicate where damage occurs in a component, its morphology and the time of occurrence. This presentation format is both easier and faster to interpret than the raw data which, for some tests, can consist of tens of thousands of images. This methodology has the potential to reduce the time taken to interpret large material test datasets whilst increasing the amount of knowledge that can be extracted from each test.
Data from: Matrix correspondence tests on the DNA phylogeny of the Tenerife lacertid elucidate both historical causes and morphological adaptation
Previous studies using partial regression Mantel tests of matrix correspondence on within-island geographic variation in the color pattern of the Tenerife (Canary Islands) lacertid lizard (Gallotia galloti) support natural selection for different north--south climatically determined biotopes but do not support any historical cause. However, tests on the DNA phylogeny based primarily on population data from 57 localities on Tenerife support the hypothesis that there were populations on two putative precursor islands that have come into secondary contact and introgressed after these islands were joined to form Tenerife by the eruption of the Canadas edifice. Subsequent partial Mantel tests continue to support the hypothesis that color pattern is adapted to the climatic biotopes even when this phylogenetic information is taken into account by (1) testing for color pattern adaptation separately within each lineage and (2) testing for color pattern adaptation across the entire island while considering the molecular phylogenetic relationships as representing an alternative explanation. Selection has largely expunged any trace of the geological history from current morphological variation, and the introgression of these island populations after an estimated 0.7 million years of separation gives an insight into the relationships between allopatric divergence and reproductive isolation.
Data from: Testing the consistency of connectivity patterns for a widely dispersing marine species
Connectivity is widely recognised as an important component in developing effective management and conservation strategies. While managers are generally most interested in demographic, rather than genetic connectivity, new analytic approaches are able to provide estimates of both demographic and genetic connectivity measures from genetic data. Combining such genetic data with mathematical models represents a powerful approach for accurately determining patterns of population connectivity. Here, we use microsatellite markers to investigate the genetic population structure of the New Zealand Rock Lobster, Jasus edwardsii, which has one of the longest known larval durations of all marine species (> 2 years), a very large geographic range (> 5500 km), and has been the subject of extensive dispersal modelling. Despite earlier mitochondrial DNA studies finding homogeneous genetic structure, the mathematical model suggests that there are source-sink dynamics for this species. We found evidence of genetic structure in J. edwardsii populations with three distinct genetic groups across New Zealand and a further Australian group; these groups and patterns of gene flow were generally congruent with the earlier mathematical model. Of particular interest was the consistent identification of a self-recruiting population/region from both modelling and genetic approaches. While there is the potential for selection and harvesting to influence the patterns we observed, we believe oceanographic processes are most likely responsible for the genetic structure observed in J. edwardsii. Our results, using a species at the extreme end of the dispersal spectrum demonstrate that source-sink population dynamics may still exist for such species.
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.