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282 results for “data engineering”
Data from: intertidal mussels as ecosystem engineers: maintenance of invertebrate assemblages amid intertidal stress gradients
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Nationwide eclipse ballooning project: Engineering data from the 2023 annular and 2024 total solar eclipses
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Data for: Magnetic-field-assisted molecular beam epitaxy: Engineering of Fe3O4 ultrathin films on MgO(111)
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Data from: Pollinators and plants as ecosystem engineers: post-dispersal fruits provide new habitats for other organisms
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Data from: Engineered nucleocytosolic vehicles for loading of programmable editors
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Data from: The rainbow connection: the case for including substrate colour in the ‘eco-engineering’ of marine constructions
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Data from: Engineering correlated insulators in bilayer graphene with a remote Coulomb superlattice
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Data from: flamingos as ecosystem engineers: flock size and foraging behaviors linked to nutrient availability
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Iowa Rathbun Lake long-term chemistry data conducted by US Army Corps of Engineers, 1997-2012
This dataset contains long-term water quality data for Rathbun Lake (Iowa) collected from 1997 – 2012. This dataset contains data for Secchi depth, dissolved and total nutrients, chlorophyll, total suspended sediments, turbidity, alkalinity, sulfate, and total and dissolved organic carbon. Data are also included for herbicides and trace elements.
Data from: Dynamic simulations of microbial communitiesunder perturbations: opportunities formicrobiome engineering
<p>Input and output files of the application of our MDPbiomeGEM system (available at https://github.com/beatrizgj/MDPbiomeGEM) to different microbial communities, in particular from human gut microbiome and soil microbiome.</p> <p>Each case study (i.e. microbial community) has the following structure, corresponding to the different steps performed by our system MDPbiomeGEM:<br> 1. InputGEM: Genome-scale metabolic models (GEM) and medium composition<br> 2. OutputMMODES: simulated microbial community timeseries by MMODES<br> 3. MmodesToMDPbiome: transformation of output from MMODES in input to MDPbiome<br> 4. OutRobustClustering: identification of microbiome states<br> 5. OutputMDPbiome: output of MDPbiome, with prediction of microbiome state changes and interventions</p> <p>a. Human gut microbiome (BifFae): the microbes in this community are <em>Bifidobacterium adolescentis L2-32</em> (<em>i</em>Bif452) and <em>Faecalibacterium prausnitizii A2-135</em> (<em>i</em>Fap484), whose GEMs were taken from the original publication [El-Semman et al.,2014] (https://doi.org/10.1186/1752-0509-8-41). We upload here those GEMs adjusted to satisfy the scenario we model, that is described in our manuscript.</p> <p>b. Soil microbiome (Atrazine): the microbes in this community are <em>P. aurescens, H. stevensii</em>, <em>Halobacillus sp</em>. The GEMs used in this consortium were kindly provided by the authors of [Xu et al.,2019] (https://doi.org/10.1038/s41396-018-0288-5). Model construction was lead by Raphy Zarecki. With the exception of <em>P.aurescens TC1</em> [Ofaim et al.,2019] (http://dx.doi.org/10.1101/536011) they had not yet been made publicly available. With the permission of the authors of the original models [Xu et al.,2019], we upload here those GEMs adjusted to satisfy the scenario we model, that is described in our manuscript.</p> <p> </p> <p> </p>
Data file for paper: Highly-cited papers in software engineering: the top-100
<p>Data file for paper: Highly-cited papers in software engineering: the top-100</p> <p>https://doi.org/10.1016/j.infsof.2015.11.003</p>
Experimental Data for "What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way" at SIGIR2020
<p>This deposit contains data used for the experiments reported in the paper "<a href="https://doi.org/10.1145/3397271.3401048">What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way</a>", most notably the ElasticSearch 5.4 indices used for the reported experiments.</p> <p>To load the indices into an ElasticSearch cluster of your own, use the restore function described in the <a href="https://www.elastic.co/guide/en/elasticsearch/reference/5.4/modules-snapshots.html">ElasticSearch documentation</a>.</p> <p>The names of the index snapshots contained here are</p> <ul> <li>ct1718 for the indexed ClinicalTrials data used in the TREC-PM challenges in <a href="http://www.trec-cds.org/2017.html">2017</a> and <a href="http://www.trec-cds.org/2018.html">2018</a>.</li> <li>ct19 for the indexed ClinicalTrials data used in the TREC-PM challenge in <a href="http://www.trec-cds.org/2019.html">2019</a>.</li> <li>ba1718 for the indexed PubMed data used in the TREC-PM challenges in <a href="http://www.trec-cds.org/2017.html">2017</a> and <a href="http://www.trec-cds.org/2018.html">2018</a>.</li> <li>ba19 for the indexed PubMed data used in the TREC-PM challenge in <a href="http://www.trec-cds.org/2019.html">2019</a>.</li> </ul> <p>The other file contains the original output that <a href="https://www.automl.org/automated-algorithm-design/algorithm-configuration/smac/">SMAC</a> wrote to disc during the parameter optimization process. There are directories for the biomedical abstracts (BA) and clinical trials (ct) and for each respective 10 fold cross validation split. Those file contain the exact parameter configurations and their evalation score (the infNDCG metric was used) in live-runXX.json files.</p> <p>The code to these files is located in <a href="https://zenodo.org/record/3856403">this Zenodo deposit</a>.</p>
Data from: Foraging by an avian ecosystem engineer extensively modifies the litter and soil layer in forest ecosystems
<p>Ecosystem engineers physically modify their environment, thereby altering habitats for other organisms. Increasingly, 'engineers' are recognised as an important focus for conservation and ecological restoration because their actions affect a range of ecosystem processes and thereby influence how ecosystems function. The superb lyrebird Menura novaehollandiae is proposed as an ecosystem engineer in forests of south-eastern Australia due to the volume of soil and litter it turns over when foraging. We measured the seasonal and spatial patterns of foraging by lyrebirds and the amount of soil displaced in forests in the Central Highlands, Victoria. We tested the effects of foraging on litter, soil nutrients and soil physical properties by using an experimental approach with three treatments: lyrebird exclusion, lyrebird exclusion with simulated foraging, and non-exclusion reference plots. Treatments were replicated in three forest types in each of three forest blocks. Lyrebirds foraged extensively in all forest types in all seasons. On average, lyrebirds displaced 155.7 t/ha of litter and soil in a 12-month period. Greater displacement occurred where vegetation complexity (<50 cm height) was low. After two years of lyrebird exclusion, soil compaction (top 7.5 cm) increased by 37% in exclusion plots compared with baseline measures, whilst in unfenced plots it decreased by 22%. Litter depth was almost three times greater in fenced than unfenced plots. Soil moisture, pH and soil nutrients showed no difference between treatments. The enormous extent of litter and soil turned over by the superb lyrebird is unparalleled by any other vertebrate soil engineer in terrestrial ecosystems globally. The profound influence of such foraging activity on forest ecosystems is magnified by its year-round pattern and widespread distribution. The disturbance regime that lyrebirds impose has implications for diverse ecosystem processes including decomposition and nutrient cycling, the composition of litter- and soil-dwelling invertebrate communities, the shaping of ground-layer vegetation patterns, and fire behavior and post-fire ecosystem recovery. Maintaining lyrebird populations as a key facilitator of ecosystem function is now timely and critical as unprecedented wildfires in eastern Australia in summer 2019/2020 have severely burned ~12 million ha of forest, including ~30% of the geographic range of the superb lyrebird.</p>
Survey Data Set Part 2 - Attitudes Towards Videos as a Documentation Option for Communication in Requirements Engineering
<p>In 2017, I conducted an online survey to explore software professionals' attitudes towards videos as a documentation option for communication in requirements engineering. The survey covered the following topics:</p> <ul> <li>Demographics</li> <li>Attitude towards videos as a medium in RE including its strengths, weaknesses, opportunities, and threats</li> <li>Current production and use of videos in RE, respectively the obstacles that prevent the production and use of videos</li> </ul> <p>64 out of 106 software professionals from industry and academia completed the survey. The survey was implemented in LimeSurvey and distributed across several communication channels such as LinkedIn, ResearchGate, Twitter, and a mailing list of a German RE professionals group.</p> <p>This dataset includes the following files:</p> <ul> <li>"Raw and analyzed data.xlsx" contains the raw and analyzed survey responses which are anonymized <ul> <li>This data includes <em>demographics </em>and <em>video production and use</em>.</li> <li>The data on <em>attitudes</em> are included in: <a href="https://zenodo.org/record/3245770">Survey Data Set Part 1 - Attitudes Towards Videos as a Documentation Option for Communication in Requirements Engineering</a>.</li> </ul> </li> <li>"Survey - Offline version.docx" contains the questions and possible answers of the survey</li> <li>"Survey - Offline version.pdf" contains the questions and possible answers of the survey</li> </ul> <p>This survey was designed, conducted, and analyzed by Oliver Karras (<a href="https://twitter.com/KarrasOliver">@KarrasOliver</a>)</p>
Investigating Transformers as Context-aware Word Search Engines - Data and Code
<p>This is the review version, please use the published record: </p> <p> https://zenodo.org/record/6425595</p> <p> </p> <p>Data and code for the paper 'Investigating Transformers as Context-aware Word Search Engines' as submitted for review at ACL21. </p> <p> </p>
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: Using the Spatial Population Abundance Dynamics Engine for conservation management
1. An explicit spatial understanding of population dynamics is often critical for effective management of wild populations. Sophisticated approaches are available to simulate these dynamics, but are largely either spatially homogeneous or agent-based, and thus best suited to small spatial or temporal scales. These approaches also often ignore financial decisions crucial to choosing management approaches on the basis of cost-effectiveness. 2. We created a user-friendly and flexible modelling framework for simulating these population issues at large spatial scales – the Spatial Population Abundance Dynamics Engine (SPADE). SPADE is based on the STAR model (McMahon et al. 2010) and uses a reaction-diffusion approach to model population trajectories and a cost-benefit analysis technique to calculate optimal management strategies over long periods and across broad spatial scales. It expands on STAR by incorporating species interactions and multiple concurrent management strategies, and by allowing full user control of functional forms and parameters. 3. We used SPADE to simulate the eradication of feral domestic cats Felis catus on sub-Antarctic Marion Island (Bester et al. 2002) and compared modelled outputs to observed data. The parameters of the best-fitting model reflected the conditions of the management programme, and the model successfully simulated the observed movement of the cat population to the southern and eastern portion of the island under hunting pressure. We further demonstrated that none of the management strategies would likely have been successful within a reasonable timeframe if performed in isolation. 4. SPADE is applicable to a wide range of population management problems, and allows easy generation, modification and analysis of management scenarios. It is a useful tool for the planning, evaluation and optimisation of the management of wild populations, and can be used without specialised training.
Data from: Do an ecosystem engineer and environmental gradient act independently or in concert to shape juvenile plant communities? Tests with the leaf-cutter ant Atta laevigata in a Neotropical savanna
Background. Ecosystem Engineers are species that transform habitats in ways that influence other species. While the impacts of many engineers have been well described, our understanding of how their impact varies along environmental gradients remains limited. Although disentangling the effects of gradients and engineers on biodiversity is complicated – the gradients themselves can be altered by engineers – doing so is necessary to advance conceptual and mathematical models of ecosystem engineering. We used leaf-cutter ants (Atta spp.) to investigate the relative influence of gradients and environmental engineers on the abundance and species richness of woody plants. Methods. We conducted our research in South America's Cerrado. With a survey of plant recruits along a canopy cover gradient, and data on environmental conditions that influence plant recruitment, we fit statistical models that addressed the following questions: (1) Does A. laevigata modify the gradient in canopy cover found in our Cerrado site? (2) Do environmental conditions that influence woody plant establishment in the Cerrado vary with canopy cover or proximity to A. laevigata nests? (3) Do A. laevigata and canopy cover act independently or in concert to influence recruit abundance and species richness? Results. We found that environmental conditions previously shown to influence plant establishment in the Cerrado varied in concert with canopy cover, but that ants are not modifying the cover gradient or cover over nests. However, ants are modifying other local environmental conditions, and the magnitude and spatial extent of these changes is consistent across the gradient. In contrast to prior studies, we found that ant-related factors (e.g., proximity to nests, ant changes in surface conditions), rather than canopy cover, had the strongest effect on the abundance of plant recruits. However, the diversity of plants was influenced by both the engineer and the canopy cover gradient. Discussion. Atta laevigata in the Cerrado modify local conditions in ways that have strong but spatially restricted consequences for plant communities. We hypothesize that ants indirectly reduce seedling establishment by clearing litter and reducing soil moisture, which leads to seed and seedling desiccation. Altering soil nutrients could also reduce juvenile growth and survivorship; if so these indirect negative effects of engineering could exacerbate their direct effects of harvesting plants. The effects of Atta appear restricted to nest mounds, but they could be long-lasting because mounds persist long after a colony has died or migrated. Our results support the hypothesis that leaf-cutter ants play a dominant role in Cerrado plant demography. We suggest the ecological and economic footprint of these engineers may increase dramatically in coming decades due to the transformation of the Cerrado by human activities.
Data from: Animals alter precipitation legacies: trophic and ecosystem engineering effects on plant community temporal dynamics
1. Multi-year precipitation 'legacies' can have stronger effects on plant community composition than rainfall in the current growing season, but variation in the magnitude of these effects is not fully understood. Direct interactions between plants and animals, such as herbivory, and indirect interactions, such as ecosystem engineering (via changes in the physical environment), may influence precipitation legacies by altering mechanisms of lagged effects. However, the role of direct and indirect plant-animal interactions in determining the strength of precipitation legacies remains largely unexplored. 2. Here, we investigated effects of current growing season rainfall and precipitation legacies on grassland composition, and the influence of herbivory and ecosystem engineering interactions on these temporal dynamics. From 2009 to 2014, a period spanning high and low rainfall, we recorded plant cover in kangaroo rat exclosures and paired control plots that included both burrow and inter-burrow areas. We used linear mixed effects modeling and analysis of community dissimilarities to evaluate plant composition responses to current and previous growing season rainfall and kangaroo rat herbivory (presence of seed foraging) and ecosystem engineering (burrowing). 3. We found that community composition was more strongly affected by precipitation legacies than by current growing season rainfall. Greater precipitation in the previous growing season enhanced grass cover and reduced forb and legume cover. Kangaroo rat trophic and engineering interactions had counteracting effects on these legacies. While burrowing increased grass cover and thereby amplified the effects of previous growing season rainfall on community composition, legacies were suppressed by the presence of kangaroo rat foraging, which decreased grass cover. Further analysis revealed that kangaroo rat foraging and burrowing had conflicting effects on residual plant biomass prior to the growing season, suggesting that precipitation legacies were influenced by altered litter dynamics. 4. Synthesis. Our study demonstrates that animals can impact the strength of precipitation legacies through direct and indirect interactions with the plant species that drive lag effects. The influence of multiple types of plant-animal interactions on precipitation legacies may be important to consider for ecosystem management and when generating predictions of community composition and productivity in future ecosystems.
Data from: Take-off engine particle emission indices for in-service aircraft at Los Angeles International Airport
We present ground-based, advected aircraft engine emissions from flights taking off at Los Angeles International Airport. 275 discrete engine take-off plumes were observed on 18 and 25 May 2014 at a distance of 400 m downwind of the runway. CO2 measurements are used to convert the aerosol data into plume-average emissions indices that are suitable for modelling aircraft emissions. Total and non-volatile particle number EIs are of order 1016–1017 kg−1 and 1014–1016 kg−1, respectively. Black-carbon-equivalent particle mass EIs vary between 175–941 mg kg−1 (except for the GE GEnx engines at 46 mg kg−1). Aircraft tail numbers recorded for each take-off event are used to incorporate aircraft- and engine-specific parameters into the data set. Data acquisition and processing follow standard methods for quality assurance. A unique aspect of the data set is the mapping of aerosol concentration time series to integrated plume EIs, aircraft and engine specifications, and manufacturer-reported engine emissions certifications. The integrated data enable future studies seeking to understand and model aircraft emissions and their impact on air quality.
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.