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1,956 results for “test data”
Test Data from a Study on Latin Vocabulary Acquisition with Beginners (Textbook)
<p>The dataset contains test results from an intervention study with beginners in the 5th grade of a high school in Berlin. In total, 103 students participated in four groups (= classes). The intervention materials and tests are published as well.</p> <p>A key question of the still ongoing research project is: How can vocabulary competence in a historical language such as Latin be acquired and deepened by using corpus-based, i.e. context-based, methods? This question is based on a broad understanding of vocabulary that refers back to theories of the mental lexicon.</p>
BigFuzz: Efficient Fuzz Testing for Data Analytics using Framework Abstraction
<p>BigFuzz supplementary material.</p>
Data from: A comparative test for divergent adaptation: inferring speciation drivers from functional trait divergence
<p>Ecological differentiation between lineages is widely considered to be an important driver of speciation. However, support for this hypothesis is largely derived from the detailed study of a select set of model species pairs. Mounting evidence from non-model taxa, meanwhile, suggests that speciation often occurs with minimal differentiation in ecomorphology, calling into question the true contribution of divergent selection to species richness in nature. To better understand divergent adaptation and its role in speciation generally, researchers require a comparative approach that can distinguish its signature from alternative processes such as drift and parallel selection in datasets containing many species pairs. Here we introduce the first statistical models of divergent adaptation in the continuous traits of paired lineages. In these models, ecomorphological characters diverge as two lineages adapt toward alternative phenotypic optima following their departure from a common ancestor. The absolute distance between optima measures the extent of divergent selection and provides a basis for interpretation. We encode the models in the new R-package <i>diverge</i> and extend them to allow the distance between optima to vary across continuous and categorical variables. We test model performance using simulation and demonstrate model application using published datasets of trait divergence in birds and mammals. Our framework provides the first explicit test for the signature of divergent selection in trait divergence datasets, and it will enable empiricists from a wide range of fields to more fully investigate the dynamics of divergent adaptation as well as its prevalence in nature beyond just our best-studied model systems.</p>
Data from: Being a bright snake: testing aposematism and mimicry in a Neotropical forest
Based on color patterns and behavioral similarities, venomous coral snake Micrurus corallinus (Elapidae) may act as a model for two polymorphic species, Erythrolamprus aesculapii (Dipsadidae) and Micrurus decoratus (Elapidae). Plasticine replicas were used to investigate the aposematism of these coloration patterns and whether these species may be part of mimetic complexes in two Atlantic Forest localities in South-east Brazil. Coral replicas were more avoided when set upon a white background, evincing that the pattern may act aposematically in contrast with light substrates. Birds attacked all four patterns equally during the mimicry experiments. Birds of prey, known to be effective in predating snakes, are quite abundant in the study areas, which may have led to this lack of avoidance. Accordingly, they predated more adult-sized replicas, which could be more dangerous. Interestingly, opossum avoided the Micrurus corallinus and Erythrolamprus aesculapii replicas that resembled the model. This suggests that opportunistic predators, as the opossum may be important selective agents in mimicry complexes.
Data Accompanying "Fracturing process of concrete under uniaxial and triaxial compression: insights from in-situ x-ray mechanical tests"
<p>These are the datasets analysed in "Fracturing process of concrete under uniaxial and triaxial compression: insights from <em>in-situ</em> x-ray mechanical tests" by Stamati <em>et. al.</em> (submitted on June 2020 in Cement and Concrete Research)</p> <p>The datasets contain the reconstructed x-ray 3D images of selected tests and the corresponding DVC analysis.</p> <p>Note that details regarding the DVC analysis can be found in the paper.</p> <ul> <li>Each folder contains a separate test; uniaxial compression ("<em>C-02"</em>) and triaxial compression at 5MPa ("<em>TX5-01"</em>), 10MPa ("T<em>X10-01</em>") and 15MPa ("<em>TX15-01</em>") confining pressures.</li> <li>For each test, folder 01 contains the first scan, where 01 is the reference state for the DVC analyis. Folder 01 also contains the image of the labelled largest aggregates used for the discrete DVC. Folrders 02-XX contain the scans at intermediate loading steps and the corresponding DVC analysis; "<em>reg</em>" contains the registration result in downscaled 2-binning images. "<em>ddic</em>" contains the discrete DVC computation. "<em>ldic</em>" contains the local DVC computation, before and after the merge and filtering of the grid and discrete DVC fields. "<em>strains</em>" contains the strain fields coming from the corrected merged DVC field.</li> <li>Folder "<em>stressStrain</em>" contains the stress-strain curves measured during the tests after subtracting the displacement corresponding to the loading system.</li> <li>Folder "<em>doubleScanUniaxial</em>" contains the two reconstructed images of the "repeated scan" of the uniaxial tests, from which the DVC measurement uncertainties were evaluated.</li> </ul>
Data from: Testing main Amazonian rivers as barriers across time and space within widespread taxa
Aim: Present Amazonian diversity patterns can result from many different mechanisms and, consequently, the factors contributing to divergence across regions and/or taxa may differ. Nevertheless, the river-barrier hypothesis (RBH) is still widely invoked as a causal process in divergence of Amazonian species. Here we use model-based phylogeographic analyses to test the extent to which major Amazonian rivers act similarly as barriers across time and space in two broadly distributed Amazonian taxa. Local: Amazon rainforest. Taxon: The lizard Gonatodes humeralis (Sphaerodactylidae) and the tree frog Dendropsophus leucophyllatus (Hylidae). Methods: We obtained RADseq data for samples distributed across main river barriers, representing main Areas of Endemism previously proposed for the region. We conduct model-based phylogeographic and genetic differentiation analyses across each population pair. Results: Measures of genetic differentiation (based on FST calculated from genomic data) show that all rivers are associated with significant genetic differentiation. Parameters estimated under investigated divergence models showed that divergence times for populations separated by each of the 11 bordering rivers were all fairly recent. The degree of differentiation consistently varied between taxa and among rivers, which is not an artifact of any corresponding difference in the genetic diversities of the respective taxa, or to amounts of migration based on analyses of the site-frequency-spectrum. Main conclusions: Taken together, our results support a dispersal (rather than vicariance) history, without strong evidence of congruence between these species and rivers. However, once a species crossed a river, populations separated by each and every river have remained isolated – in this sense, rivers act similarly as barriers to any further gene flow. This result suggests differing degrees of persistence and gives rise to the seeming contradiction that the divergence process indeed varies across time, space, and species, even though major Amazonian rivers have acted as secondary barriers to gene flow in the focal taxa.
Data from: Testing the greater male variability hypothesis: male mountain chickadees exhibit larger variation in reversal learning compared to females
The 'greater male variability hypothesis' predicts that males exhibit larger ranges of variation in cognitive performance compared to females, however, support for this hypothesis has come exclusively from studies of humans. This scenario aligns with the fact that the vast majority of the literature assessing sex differences in cognition is based on studies of humans and a few other mammals. In order to elucidate the underpinnings of cognitive variation and the potential for fitness consequences, we must investigate sex differences in cognition in non-mammalian systems as well. Here we assess the performance of male and female food-caching birds on a spatial learning and memory task and a reversal spatial task to address whether there are sex differences in mean cognitive performance or in the range of variation in performance. For both tasks, male and female mean performance was similar across four years of testing; however, males did exhibit a wider range of variation in performance on the reversal spatial task compared to females. The implications for mate choice and sexual selection of cognitive abilities are discussed, with a call for further investigation into sex-related cognitive variation.
LatinISE test data for SemEval 2020 task 1 with additional token versions of the corpora
<p>This data collection contains the Latin test data for <a href="https://competitions.codalab.org/competitions/20948">SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection</a>: </p> <ul> <li>a Latin text corpus pair (`corpus1/lemma`, `corpus2/lemma`)</li> <li>40 lemmas which have been annotated for their lexical semantic change between the two corpora (`targets.txt`)</li> <li>the annotated binary change scores of the targets for subtask 1, and their annotated graded change scores for subtask 2 (`truth/`)</li> </ul> <p>The corpus data have been automatically lemmatized and part-of-speech tagged, and have been partially corrected by hand. For homonyms, the lemmas are followed by the '\#' symbol and the number of the homonym according to the Lewis-Short dictionary of Latin when this number is greater than 1. For example, the lemma 'dico' corresponds to the first homonym in the Lewis-Short dictionary and 'dico\#2' corresponds to the second homonym, cf. Lewis-Short dictionary.</p> <p>__Corpus 1__</p> <ul> <li>based on: <a href="http://hdl.handle.net/11372/LRT-3170">LatinISE</a> (McGillivray and Kilgarriff 2013), <a href="https://app.sketchengine.eu/#dashboard?corpname=preloaded/latinise_4">version on Sketch Engine</a></li> <li>language: Latin</li> <li>time covered: from the beginning of the second century before Christ (BC) to the end of the first century BC</li> <li>size: ~1.7 million tokens</li> <li>format: lemmatized, sentence length >= 2, no punctuation, sentences randomly shuffled</li> <li>encoding: UTF-8</li> </ul> <p>__Corpus 2__</p> <ul> <li>based on: <a href="http://hdl.handle.net/11372/LRT-3170">LatinISE</a> (McGillivray and Kilgarriff 2013) , <a href="https://app.sketchengine.eu/#dashboard?corpname=preloaded/latinise_4">version on Sketch Engine</a></li> <li>language: Latin</li> <li>time covered: from the beginning of the first century after Christ (AD) to the end of the twenty-first century AD</li> <li>size: ~9.4 million tokens</li> <li>format: lemmatized, sentence length >= 2, no punctuation, sentences randomly shuffled</li> <li>encoding: UTF-8</li> </ul> <p>Find more information on the data in the papers referenced below.</p> <p>Besides the official lemma version of the corpora for SemEval-2020 Task 1 we also provide the raw token version (<code>corpus1/token/</code>, <code>corpus2/token/</code>). It contains the raw sentences in the same order as in the lemma version. Find more information on the data and SemEval-2020 Task 1 in the paper referenced below.</p> <p>The creation of the data was supported by the CRETA center and the CLARIN-D grant funded by the German Ministry for Education and Research (BMBF).</p> <p><strong>References</strong></p> <p>Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky and Nina Tahmasebi <a href="https://competitions.codalab.org/competitions/20948">SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection</a>. To appear in SemEval@COLING2020.</p> <p>McGillivray, B. and Kilgarriff, A. (2013). <a href="https://www.sketchengine.co.uk/wp-content/uploads/2015/05/Latin_historical_corpus_2013.pdf">Tools for historical corpus research, and a corpus of Latin</a>. In Paul Bennett, Martin Durrell, Silke Scheible, Richard J. Whitt (eds.), New Methods in Historical Corpus Linguistics, Tübingen: Narr.<br> </p>
Data from: Testing adaptive hypotheses on the evolution of larval life history in acorn and stalked barnacles
Despite strong selective pressure to optimize larval life history in marine environments, there is a wide diversity with regard to developmental mode, size and time larvae spend in the plankton. In the present study, we assessed if adaptive hypotheses explain the distribution of the larval life history of thoracican barnacles within a strict phylogenetic framework. We collected environmental and larval trait data for 170 species from the literature, and utilized a complete thoracican synthesis tree to account for phylogenetic non-independence. In accordance with Thorson's rule, the fraction of species with planktonic-feeding larvae declined with water depth and increased with water temperature, while the fraction of brooding species exhibited the reverse pattern. Species with planktonic-nonfeeding larvae were overall rare, following no apparent trend. In agreement with the "size advantage" hypothesis proposed by Strathmann in 1977, egg and larval size were closely correlated. Settlement-competent cypris larvae were larger in cold water, indicative of advantages for large juveniles when growth is slowed. Planktonic larval duration, on the other hand, was uncorrelated to environmental variables. We conclude that different selective pressures appear to shape the evolution of larval life history in barnacles.
Experimental data and videos of steel wide-flange and HSS columns tested under collapse-consistent loading histories
<p>The experimental dataset is comprised of the following items:</p> <p>(a) a <a href="https://zenodo.org/api/files/0e8fafb8-f08d-4e19-8515-643b675faa1d/Suzuki_Lignos-2020-Experimental_Program.pdf">summary table</a> that contains the geometric and material parameters for each test specimen along with deduced quantities of interest with regard to the collapse behavior of each specimen;</p> <p>(b) the deduced experimental data of <a href="https://zenodo.org/api/files/0e8fafb8-f08d-4e19-8515-643b675faa1d/Suzuki_Lignos-2020-Deduced_Data_Wide_Flange_Columns.xlsx">wide-flange specimens</a>;</p> <p>(c) the deduced experimental data of <a href="https://zenodo.org/api/files/0e8fafb8-f08d-4e19-8515-643b675faa1d/Suzuki_Lignos-2020-Deduced_Data_HSS_Columns.xlsx">hollow structural shape (HSS) specimens</a>.</p> <p>The deduced data contains normalized axial shortening, chord rotation and deduced moment (without member p-delta).</p> <p>(d) The <a href="https://zenodo.org/api/files/0e8fafb8-f08d-4e19-8515-643b675faa1d/Suzuki_Lignos-2020-Experimental_Program.pdf">summary report of the experimental program</a> along with an appendix of photos of each specimen is included together with the dataset.</p> <p>(e) characteristic videos for each specimen that demonstrate the member performance through the loss of their lateral load carrying capacity.</p>
Raw data and supplementary material of the fifth inter-laboratory testing program (RRT5, self-healing concrete with macrocapsules) of the EU COST action SARCOS
<p>This data is the result of a collaboration of scientists working on the development of self-healing concrete within the framework of the European Cooperation in Science and Technology (COST) Action “Self-healing as preventive repair of concrete structures” SARCOS CA15202.</p> <p>In the framework of SARCOS 6 inter-laboratory testing programs are being executed to investigate possible standard test methods for self-healing concrete, each of the testing programs focusing on a different self-healing technique:<br> (1) Concrete with mineral additions,<br> (2) Concrete with the addition of magnesium oxide,<br> (3) Concrete enhanced with crystalline admixtures,<br> (4) High performance fibre reinforced concrete enhanced with crystalline admixtures,<br> (5) Concrete with preplaced macrocapsules containing polymeric healing agent, and<br> (6) Concrete with encapsulated bacteria.</p> <p>The data which can be found here have been obtained in the inter-laboratory testing program 5 "Concrete with preplaced macrocapsules containing polymeric healing agent". In total 6 labs participated in this testing program: Ghent University, Politecnico di Torino, Riga Technical University, Cracow University of Technology, Cambridge University, and KU Leuven (Ghent Technology Campus). All specimens were cast at Ghent University and were then distributed to the different labs, where they were tested.</p> <p>The testing program consisted of tests on both concrete and mortar specimens. The reinforced concrete specimens were cracked in a displacement-controlled three-point bending setup. Subsequently, they were subjected to two capillary water absorption tests, each with a different waterproofing technique. The mortar specimens were not reinforced, instead they were provided with a Carbon Fibre Reinforced Polymer (CFRP) laminate at the top. They were cracked in a force-controlled three-point bending setup, and immediately an active crack width control technique was applied to restrain the crack width of the specimens to a desired crack width range. After measuring of the crack width, the water permeability of the mortar specimens was accessed in a water flow test. In the end, the specimens were cracked open to assess the spread of the polyurethane healing agent.</p>
Test data for GliderTools
<p>netcdf files that I don't want to store on GitHub</p>
Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning: W+jet large test dataset
<p>W+jet events at generator and reconstruction level, used to train analysis-specific generative models.</p> <p>Events are represented as an array of relevant high-level features. Reco objects are matched to Gen objects and a minimal selection is applied to define the generator support in the N-dim space identified by the input features.</p> <p>About 2M events, used for large-scale testing</p> <p>Details in https://arxiv.org/abs/2010.01835</p>
Replication data for: Consumer preference testing of boiled sweetpotato (Ipomoea batatas (L.) Lam.) using crowdsourced citizen science in Ghana and Uganda
<p>Crowdsourced citizen science is an emerging approach in plant sciences. The triadic comparison of technologies (tricot) approach has been successfully utilised by demand-led breeding programmes to identify varieties for dissemination suited to specific geographic and climatic regions. An important feature of this approach is the independent way in which farmers individually evaluate the varieties on their own farms as ‘citizen scientists’. In this study, we adapted this approach to evaluate consumer preferences to boiled sweetpotato (<em>Ipomoea batatas</em> (L.) Lam) roots of 21 advanced breeding materials and varieties in Ghana and 6 released varieties in Uganda. We were specifically interested in evaluating if a more independent style of evaluation (home tasting) would produce results comparable to an approach that involves control over preparation (centralised tasting). We compiled data from 1,433 participants who individually contributed to a home tasting (de-centralised) and a centralised tasting trial in Ghana and Uganda, evaluating overall acceptability, and indicating the reasons for their preferences. Geographic factors showed important contribution to define consumers’ preference to boiled sweetpotato genotypes. Home and centralised tasting approaches gave similar rankings for overall acceptability, which was strongly correlated to taste. In both Ghana and Uganda, it was possible to robustly identify superior sweetpotato genotypes from consumers’ perspectives. Our results indicate that the tricot approach can be successfully applied to consumer preference studies.</p>
Data from: Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis
<p>For ungulates and other long-lived species, life-history theory predicts that nutritional reserves are allocated to reproduction in a state-dependent manner because survival is highly conserved. Further, as per-capita food abundance and nutritional reserves decline (i.e., density-dependence intensifies), reproduction and recruitment become increasingly sensitive to weather. Thus, the degree to which weather influences vital rates should be associated with proximity to nutritional carrying capacity—a notion that we refer to as the Nutritional Buffer Hypothesis. We tested the Nutritional Buffer Hypothesis using six moose (<i>Alces alces</i>) populations that varied in calf recruitment (33-69 calves/ 100 cows). We predicted that populations with high calf recruitment were nutritionally buffered against the effects of unfavorable weather, and thus were below nutritional carrying capacity. We applied a suite of tools to quantify habitat and nutritional condition of each population and found that increased browse condition, forage quality, and body fat were associated with increased pregnancy and calf recruitment, thereby providing multiple lines of evidence that declines in calf recruitment were underpinned by resource limitation. From 2001 to 2015, recruitment was more sensitive to interannual variation in weather (e.g., winter severity, drought) and plant phenology (e.g., duration of spring) for populations with reduced browse condition, forage quality, and body fat, suggesting these populations lacked the nutritional reserves necessary to buffer demographic performance against the effects of unfavorable weather. Further, average within-population calf recruitment was determined by regional climatic variation, suggesting that the pattern of reduced recruitment near the southern range boundary of moose stems from an interaction between climate and resource limitation. When coupled with information on habitat, nutrition, weather, and climate, life-history theory provides a framework to estimate nutritional limitation, proximity to nutritional carrying capacity, and impacts of climate change for ungulates.</p>
Data and Code: No support for the genetic hypothesis of the Black-white achievement gap using polygenic scores and tests for divergent selection
<p>Data and Code for article "No support for the genetic hypothesis of the Black-white achievement gap using polygenic scores and tests for divergent selection"</p>
Training and Test data for BaCoN
<p>Training and test datasets consisting of matter power spectra for use with the code BAyesian COsmological Network (BaCoN): https://github.com/Mik3M4n/BaCoN</p> <p>The dataset was generated using the code ReACT: https://github.com/nebblu/ReACT</p> <p>See the github repo for additional details.</p> <p> </p> <p> </p>
Input data for SPLOC test drivers
<p>Files used for running the test drivers included with the SPLOC code. </p> <p>PNGs of expected results included.</p>
Data from: Testing range-limit hypotheses using range-wide habitat suitability and occupancy for the scarlet monkeyflower (Erythranthe cardinalis)
Determining the causes of geographic range limits is a fundamental problem in ecology, evolution, and conservation biology. Range limits arise due to fitness and dispersal limitation, which yield contrasting predictions about habitat suitability and occupancy of suitable habitat across geographic ranges. If a range edge is limited primarily by fitness, occupancy of suitable habitat should be high, habitat suitability should decline towards the edge, and no suitable habitat should exist beyond it. In contrast, a range edge limited primarily by dispersal should have unoccupied but suitable habitat at and beyond the edge. We built ecological niche models relating occurrence records for the scarlet monkeyflower (Erythranthe cardinalis) to climatic variables, and applied these models to independent data from systematic, range-wide surveys of presence and absence to estimate the availability and occupancy of climatically suitable habitat. We found that fitness limitation predominated over dispersal limitation, but dispersal limitation also played a role at the poleward edge. These results are consistent with the hypothesis that dispersal limitation is more important along shallow environmental gradients and also suggest that synergy between dispersal and fitness limitation can contribute to colonization failure. The framework used here is validated by independent data and could be readily applied to inferring causes of range limits in many other species.
Data from: A test of a corollary of Allen's rule suggests a role for population density
A body of research by Russell Greenberg, Glenn Tattersall, and their colleagues has proposed a corollary of Allen's Rule: that in freshwater‐limited environments, bill surface area increases with temperature. Increases in both population density and sexual dimorphism, however, could also explain increases in bill surface area. After controlling for the effects of a hybrid zone, we tested whether temperature or population density in the Saltmarsh Sparrow (Ammospiza caudacuta), a sexually monomorphic estuarine specialist, explained greater variance in bill surface area. This allowed us to examine multiple potential selective mechanisms underlying the Greenberg‐Tattersall Corollary. We found that Saltmarsh Sparrows follow the general pattern of the Corollary (larger bills in warmer summer climates) but only after controlling for population density. The relationship between bill surface area and temperature varied inversely with population density. We discuss the relative abilities of sexual selection and ecological competition to explain these results.
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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.