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18,658 results for “impacts”
Figure 7 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 7. Scatterplots of shell shape metrics for Paralaoma annabelli and Paralaoma morti: (A) AH/AW, (B) UW/SW, (C) SW/SH, (D) SW/NOW, (E) UW/NOW, (F) BWH/SH, (G) AW/SW, (H) AH/SH, (I) AH/BWH, and (J) SH/NOW.
Supporting data for "A service to help insurers understand the financial impacts of changing flood risk in Europe, based on PESETA IV"
<p>Supporting data for the paper "A service to help insurers understand the financial impacts of changing flood risk in Europe, based on PESETA IV".</p> <p><a href="https://doi.org/10.1016/j.cliser.2023.100395">https://doi.org/10.1016/j.cliser.2023.100395</a></p>
Data for: Age structure eliminates the impact of coinfection on epidemic dynamics in a freshwater zooplankton system
<p>Parasites often coinfect host populations, and, by interacting within hosts, might change the trajectory of multi-parasite epidemics. However, host-parasite interactions often change with host age, raising the possibility that within-host interactions between parasites might also change, influencing the spread of disease. We measured how heterospecific parasites interacted within zooplankton hosts and how host age changed these interactions. We then parameterized an epidemiological model to explore how age-effects altered the impact of coinfection on epidemic dynamics. In our model, we found that in populations where epidemiologically relevant parameters did not change with age, the presence of a second parasite altered epidemic dynamics. In contrast, when parameters varied with host age (based on our empirical measures), there was no longer a difference in epidemic dynamics between singly and coinfected populations, indicating that variable age structure within a population eliminates the impact of coinfection on epidemic dynamics. Moreover, infection prevalence of both parasites was lower in populations where epidemiologically relevant parameters changed with age. Given that host-population age structure changes over time and space, these results indicate that age-effects are important for understanding epidemiological processes in coinfected systems and that studies focused on a single age group could yield inaccurate insights.</p>
Data from: The impact of task context on predicting finger movements in a brain-machine interface
<p>A key factor in the clinical translation of brain-machine interfaces (BMIs) for restoring hand motor function will be their robustness to changes in a task. With functional electrical stimulation (FES) for example, the patient's own hand will be used to produce a wide range of forces in otherwise similar movements. To investigate the impact of task changes on BMI performance, we trained two rhesus macaques to control a virtual hand with their physical hand while we added springs to each finger group (index or middle-ring-small) or altered their wrist posture. Using simultaneously recorded intracortical neural activity, finger positions, and electromyography, we found that predicting finger kinematics and finger-related muscle activations across contexts led to significant increases in prediction error, especially for muscle activations. However, with respect to online BMI control of the virtual hand, changing either training task context or the hand's physical context during online control had little effect on online performance. We explain this dichotomy by showing that the structure of neural population activity remained similar in new contexts, which could allow for fast adjustment online. Additionally, we found that neural activity shifted trajectories proportional to the required muscle activation in new contexts, possibly explaining biased kinematic predictions and suggesting a feature that could help predict different magnitude muscle activations while producing similar kinematics.</p>
Figure 1 in Impact of climatic factors on sexual size dimorphism in ground beetle Pterostichus melanarius (Illiger, 1798) (Coleoptera, Carabidae)
Figure 1. Elytra length variation in P. melanarius from different habitats (a – females, b – males). Habitats are designated as follows: 1 – meadow, 2 – birch-forest, 3 – elm, 4 – oak-wood, 6 – pine forest, 7 – willow, 8 – shrubs, 9 – lawn, 10 – fir-forest, 11 – garden, 12 – rape field.
Numerical Modeling of Asteroid Impact in 2D Cylindrical Coordinates
<p>Additional material and code for the Bachelor Thesis "Numerical Modeling of Asteroid Impact in 2D Cylindrical Coordinates" </p>
Data and Code for the paper "GUI Testing of Android Applications: Investigating the Impact of the Number of Testers on Different Exploratory Testing Strategies"
<p>This package contains data and code to replicate the findings presented in our paper titled "<em>GUI Testing of Android Applications: Investigating the Impact of the Number of Testers on Different Exploratory Testing Strategies</em>".</p> <p><strong>Abstract</strong></p> <p>Graphical User Interface (GUI) testing plays a pivotal role in ensuring the quality and functionality of mobile apps. In this context, Exploratory Testing (ET), a distinctive methodology in which individual testers pursue a creative, and experience-based approach to test design, is often used as an alternative or in addition to traditional scripted testing. Managing the exploratory testing process is a challenging task, that can easily result either in wasteful spending or in inadequate software quality, due to the relative unpredictability of exploratory testing activities, which depend on the skills and abilities of individual testers. A number of works have investigated the<br> diversity of testers’ performance when using ET strategies, often in a crowdtesting setting. These works, however, investigated ET effectiveness in detecting bugs, and not in scenarios in which the goal is to generate a re-executable test suite, as well. Moreover, less work has been conducted on evaluating the impact of adopting different exploratory testing strategies. As a first step towards filling this gap in the literature, in this work we conduct an empirical evaluation involving four open-source Android apps and twenty masters students, that we believe can be representative of practitioners partaking in exploratory testing activities. The students were asked to generate test suites for the apps using a Capture and Replay tool and different exploratory testing strategies. We then compare the effectiveness, in terms of aggregate code coverage, that different-sized groups of students using different exploratory testing strategies may achieve. Results provide deeper insights into code coverage dynamics to project managers interested in using exploratory approaches to test simple Android apps, on which they can make more informed decisions.</p> <p> </p> <p><strong>Contents and Instructions</strong></p> <p>This package contains:</p> <ul> <li><strong>apps-under-test.zip</strong> A zip archive containing the source code of the four Android applications we considered in our study, namely MunchLife, TippyTipper, Trolly, and SimplyDo.</li> <li><strong>apps-under-test-instrumented.zip</strong> A zip archive containing the instrumented source code of the four Android applications we used to compute branch coverage.</li> <li><strong>students-test-suites.zip</strong> A zip archive containing the test suites developed by the students using Uninformed Exploratory Testing (referred to as "Black Box" in the subdirectories) and Informed Exploratory Testing (referred to as "White Box" in the subdirectories). This also includes coverage reports.</li> <li><strong>compute-coverage-unions.zip </strong>A zip archive containing Python scripts we developed to compute the aggregate LOC coverage of all possible subsets of students. The scripts have been tested on MS Windows. To compute the LOC coverage achieved by any possible subsets of testers using IET and UET strategies, run the <em>analysisAndReport.py</em> script. To compute the LOC coverage achieved by mixed crowds in which some testers use a U+IET approach and others use a UET approach, run the <em>analysisAndReport_UET_IET_combinations_emma.py</em> script.</li> <li><strong>branch-coverage-computation.zip </strong>A zip archive containing Python scripts we developed to compute the aggregate branch coverage of all considered subsets of students. The scripts have been tested on MS Windows. To compute the branch coverage achieved by any possible subsets of testers using UET and I+UET strategies, run the <em>branch_coverage_analysis.py</em> script. To compute the code coverage achieved by mixed crowds in which some testers use a U+IET approach and others use a UET approach, run the <em>mixed_branch_coverage_analysis.py</em> script.</li> <li><strong>data-analysis-scripts.zip</strong> A zip archive containing R scripts to merge and manipulate coverage data, to carry out statistical analysis and draw plots. All data concerning RQ1 and RQ2 is available as a ready-to-use R data frame in the <em>./data/all_coverage_data.rds</em> file. All data concerning RQ3 is available in the <em>./data/all_mixed_coverage_data.rds </em>file.</li> </ul>
Data from: Human presence and infrastructure impact wildlife nocturnality differently across an assemblage of mammalian species
<p>Wildlife species may shift towards more nocturnal behavior in areas of higher human influence, but it is unclear how consistent this shift might be. We investigated how humans impact large mammal diel activities in a heavily recreated protected area and an adjacent university-managed forest in southwest British Columbia, Canada. We used camera trap detections of humans and wildlife, along with data on land-use infrastructure (e.g., recreation trails and restricted-access roads), in Bayesian regression models to investigate impacts of human disturbance on wildlife nocturnality. We found moderate evidence that black bears (<em>Ursus americanus</em>) were more nocturnal in response to human detections (mean posterior estimate = 0.35, 90% credible interval = 0.04 to 0.65), but no other clear relationships between wildlife nocturnality and human detections. However, we found evidence that coyotes (<em>Canis latrans</em>) (estimates = 0.81, 95% CI = 0.46 to 1.17) were more nocturnal and snowshoe hares (<em>Lepus americanus</em>) (estimate = -0.87, 95% CI = -1.29 to -0.46) were less nocturnal in areas of higher trail density. We also found that coyotes (estimate = -0.87, 95% CI = -1.29 to -0.46) and cougars (<em>Puma concolor</em>) (estimate = -1.14, 90% CI = -2.16 to -0.12) were less nocturnal in areas of greater road density. Furthermore, coyotes, black-tailed deer (<em>Odocoileus hemionus</em>), and snowshoe hares were moderately more nocturnal in areas near urban-wildland boundaries (estimates and 90% CIs: coyote = -0.29, -0.55 to -0.04, black-tailed deer = -0.25, -0.45 to -0.04, snowshoe hare = -0.24, -0.46 to -0.01). Our findings imply anthropogenic landscape features may influence medium to large-sized mammal diel activities more than direct human presence. While increased nocturnality may be a promising mechanism for human-wildlife coexistence, shifts in temporal activity can also have negative repercussions for wildlife, warranting further research into the causes and consequences of wildlife responses to increasingly human-dominated landscapes.</p>
Impacts of taxon-sampling schemes on Bayesian tip dating under the fossilized birth-death process
<p>Evolutionary timescales can be inferred by molecular-clock analyses of genetic data and fossil evidence. Bayesian phylogenetic methods such as tip dating provide a powerful framework for inferring evolutionary timescales, but the most widely used priors for tree topologies and node times often assume that present-day taxa have been sampled randomly or exhaustively. In practice, taxon sampling is often carried out so as to include representatives of major lineages, such as orders or families. We examined the impacts of different densities of diversified sampling on Bayesian tip dating on unresolved fossilized birth-death (FBD) trees, in which fossil taxa are topologically constrained but their exact placements are averaged out. We used synthetic data generated by simulations of nucleotide sequence evolution, fossil occurrences, and diversified taxon sampling. Our analyses under the diversified-sampling FBD process show that increasing taxon-sampling density does not necessarily improve divergence-time estimates. However, when informative priors were specified for the root age or when tree topologies were fixed to those used for simulation, the performance of tip dating on unresolved FBD trees maintains its accuracy and precision or improves with taxon-sampling density. By exploring three situations in which models are mismatched, we find that including all relevant fossils, without pruning off those that are incompatible with the diversified-sampling FBD process, can lead to underestimation of divergence times. Our reanalysis of a eutherian mammal data set confirms some of the findings from our simulation study, and reveals the complexity of diversified taxon sampling in phylogenomic data sets. In highlighting the interplay of taxon-sampling density and other factors, the results of our study have practical implications for using Bayesian tip dating to infer evolutionary timescales across the Tree of Life.</p>
Strategic Siting, Design and Operation of Dams minimizes Impacts on Seasonal Floodplain Inundation
<p>Repository of data files for the paper "Strategic Siting, Design and Operation of Dams minimizes Impacts on Seasonal Floodplain Inundation" submitted to Environmental Research Letters. </p>
Final abundances used in "Impact of level densities and gamma-strength functions on r-process simulations"
<p>Dataset of final abundances used in the article "Impact of level densities and gamma-strength functions on r-process simulations", found on ArXiv at https://arxiv.org/abs/2305.03664.</p> <p>The five files named "final_y_x_ext_REACLIB" contain the abundances calculated using the REACLIB rates and the x trajectory.</p> <p>The five folders represent the five different trajectories used, and they each contain 48 final abundance files. These were calculated using the 48 different neutron-capture rate combinations from the 6 nuclear level density and the 8 gamma-strength function models available in TALYS 1.95. The names indicate the trajectory, the mass model, the nuclear level density, the gamma-strength function and the optical model potential used. For example, the file named "b_output_m2n1s7o2_noDZ" contains the final abundances obtained using trajectory "b", mass model 2, nuclear level density 1, strength 7 and optical model potential 2 (in this case meaning keyword "localomp n" in TALYS 1.95). For details and references, see the article.</p> <p>The first column in all files indicates the mass number A, the second column the final abundance Y.</p>
Satellite derived floodplains (GFD ) combined with spatially- explicit socio-economic data and DFO impacts
<p>These data is linked to the paper </p> <p><strong>Limited progress in global reduction of vulnerability to flood impacts over the past two decades</strong></p> <p><strong>Inga J. Sauer¹ ², Benedikt Mester¹ ³, Katja Frieler¹, Sandra Zimmermann1, Jacob Schewe¹, and Christian Otto¹</strong></p> <p><strong>¹ Potsdam Institute for Climate Impact Research, Potsdam, Germany </strong></p> <p><strong>² Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland</strong></p> <p><strong>³ Institute of Environmental Science and Geography, Potsdam University, Potsdam, Germany</strong></p> <p><span>DOI: 10.1038/s43247-024-01401-y</span></p> <p>It combines the satellite observed flooded areas from the <strong>global flood database (GFD) </strong>with socio-economic and infrastructure data and the socio-economic impacts recorded in the <strong>Global Active Archive of Large Flood Events provided by the Dartmouth Flood Observatory (DFO).</strong></p>
Immediate neural impact and incomplete compensation after semantic hub disconnection
<p>Data repository for "Immediate neural impact and incomplete compensation after semantic hub disconnection"</p> <p>Abstract: The human brain extracts meaning using an extensive neural system for semantic knowledge. <br> Whether broadly distributed systems depend on or can compensate after losing a highly interconnected hub is controversial. <br> We report rare intracranial recordings from two patients during a speech prediction task, <br> obtained minutes before and after neurosurgical treatment requiring disconnection of the left anterior temporal lobe (ATL), <br> a candidate semantic knowledge hub. Informed by modern diaschisis and predictive coding frameworks, <br> we tested hypotheses ranging from solely neural network disruption to complete compensation by <br> the indirectly affected language-related and speech processing sites. Immediately after ATL disconnection, <br> we observed substantial neurophysiological alterations in the recorded frontal and auditory sites, <br> providing direct evidence for the importance of the ATL as a semantic hub. We also obtained evidence for rapid, albeit incomplete, <br> attempts at neural network compensation, with neural impact largely in the forms stipulated by the predictive coding framework, <br> in specificity, and the modern diaschisis framework, more generally. The overall results validate these frameworks and reveal <br> a remarkable immediate impact and capability of the human brain to adjust after losing a brain hub.</p> <p>In this dataset, you will be able to access the intracranial recordings from 2 subjects, <br> with the description of recording channels, along with event codes and times in ms. Both the raw data, <br> and the preprocessed (DBT denoised and SVD applied; matrix in times x channels format, 1000 Hz sampling rate) data are available. For further information, please consult the paper (currently in press, but will provide a DOI when available), <br> or email zsuzsanna-kocsis@uiowa.edu or zkocsis@andrew.cmu.edu<br> </p>
Model simulation data used in "The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs)" (Righi et al., Earth Syst. Dynam., 2023)
<p>This dataset contains the output of the EMAC global model simulations analysed and discussed in Righi et al. (<i>Earth Syst. Dynam.</i>, 2023). For details see the README.md file.</p>
Dataset on Article: River ecological status is shaped by agricultural land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts
<p>This repository contains raw data from the article "River ecological status is shaped by agricultural land use intensity across Europe: Establishing a typology of farming-driven freshwater impacts" which is currently under review.</p> <p>It contains data to allocate the pressures (<strong>Data_pressure_allocation.csv</strong>) and calculate the Pressure Index (<strong>Data_pressure_index.csv</strong>) for Table 1, and for the Spearman correlations for Figure 2 (<strong>Data_Spearman_correlations.csv</strong>).</p> <p> </p> <p>Also available is the Shapefile used for the different agricultural maps (Figure 1 and Figure S1-S4):</p> <p><strong>Shapefile Schürings_et_al._2023</strong> (Coordinate system: ETRS 1989 UTM Zone 32N)</p> <p><strong>Attribute description</strong></p> <p>Id - Identifier of polygons</p> <p>gridcode - Code of agricultural archetypes of Levers et al., (2018)</p> <p>M_ZHYD: Unique identifier of corresponding FEC</p> <p>mars_bt12: River types</p> <p>eco_stat_2: Ecological status</p> <p>Biogeoregi: Biogeographical Regions - AN = Northern and Highland, Temp = Temperate, Mediterranean = Mediterranean</p> <p>Cum_pressu: Agricultural pressure index</p> <p>Nitrogen: Agricultural nitrogen pressure</p> <p>Pesticides: Agricultural pesticide pressure</p> <p>Hydromorph: Agricultural hydromorphological pressure</p> <p>Water_abst: Agricultural water abstraction</p>
Fig. 4A-D in The impact of urban warfare on the structure of ant assemblages on trees (Hymenoptera: Formicidae)
Fig. 4A-D – Multivariate linear regression (1 independent, n dependent) for different parameters: A – between degree of damage and number of ants; B – between number of ants and tree diameter; C – between dendrobiont (nesting in trees) ants and degree of damage; D – between herpetobiont (nesting in soil) ants and degree of damage.
Fig. 2A-F in The impact of urban warfare on the structure of ant assemblages on trees (Hymenoptera: Formicidae)
Fig. 2A-F – Degrees of damaged trees. A – undamaged trees, B – 1st degree of damage, C – 2nd degree, D – 3rd degree; E – 4th degree; F – 5th degree. Black arrows indicate superficial damage to the tree bark, red arrows indicate deep damage to conductive tissues, yellow arrows - destruction of the upper part of the tree trunk, blue arrows - irreparable damage to the tree (destruction of the trunk).
Fig. 1A-B in The impact of urban warfare on the structure of ant assemblages on trees (Hymenoptera: Formicidae)
Fig. 1A-B – Investigated locations in the Kyiv region: A – Bucha; B – Irpin. Areas of cities affected by military operations are highlighted in red. Data by UN Satellite Center.
Fig. 1 in Adaptations of tenebrionid beetles to Mediterranean sand dune environments and the impact of climate change (Coleoptera: Tenebrionidae)
Fig. 1 – Relationship between activity and temperature in some tenebrionid species in Palestine investigated by Bodenheimer (1934). Activity intensity is expressed by the following rank scale: (1) cold-torpor, (2) only weak, occasional movements of legs and antennae, (3) crawling with interruptions, (4) normal activity, (5) high activity, (6) excited activity, (1) heat-torpor, (0) heat-death. Redrawn from Fattorini (2008) with corrections. Inset: Zophosis punctata (photo S. Fattorini).
Fig. 2 in Adaptations of tenebrionid beetles to Mediterranean sand dune environments and the impact of climate change (Coleoptera: Tenebrionidae)
Fig. 2 – Diel and monthly activity patterns of tenebrionid beetles of Mediterranean dunes. A, diel activity of Erodius siculus in Latium (Central Italy) in May 1997; B, diel activity of Pimelia bipunctata in Latium (Central Italy) in March 1997; C, diel activity of Pimelia bipunctata in the same locality in May 1997. In these experiments, activity was measured as number of individuals intercepted by pitfall traps per hour in single days. After counting, beetles were immediately released. N: number of trapped individuals per hour. Ta: ambient temperature (°C), Ti: soil internal (3-4 cm depth) temperature (°C), Ts: soil surface temperature (°C). D, Phenological patterns of Erodius siculus in Latium (Central Italy) and Sicily (Southern Italy). Phenologies are expressed as number of locations in which the species has been recorded in each month over a period of a century (from 1897 to 1997). A and D are based on Di Stefano & Fattorini (2002). B and C are based on Fattorini & Di Stefano (2004). Photos: courtesy of L. Di Biase.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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.