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3,655 results for “Structural data”
Data for "Crustal Structure Constraints From the Detection of the SsPp Phase on Mars"
<p>This file contains the event data for eight marsquakes used in the paper entilted "Crustal Structure Constraints From the Detection of the SsPp Phase on Mars" for publication in Earth and Space Science.</p>
Cryo-EM structure of gas vesicles - supplementary data
<p>This deposition contains supplementary data from our preprint:</p><p>Huber, S. T., Terwiel, D., Evers, W. H., Maresca, D., & Jakobi, A. J. (2022). Cryo-EM structure of gas vesicles for buoyancy-controlled motility. <i>bioRxiv</i>, 2022-05.</p><p>(Update 26.04.2023), Now in:</p><p>Huber, S. T., Terwiel, D., Evers, W. H., Maresca, D., & Jakobi, A. J. (2023). Cryo-EM structure of gas vesicles for buoyancy-controlled motility. <i>Cell</i>, <i>186</i>(5), 975-986.</p><p> </p><p><strong>2Dclasses_AnaMega_SeamsEdgesWallTips.zip</strong></p><p>This folder contains 2D class averages of different features of <i>A.flos-aquae</i> and <i>B.megaterium</i> gas vesicles (GVs) such as the seams between both GV halves, GV wall edges, collapsed walls and tips. We use this data to inform our pseudo-atomic model of an entire gas vesicle, and derive a model for biogenesis and growth. Some 2D classes provide high-resolution views on the GV wall in projection with a resolution that show the α-helical pitch and large side-chain densities. We use those views to confirm the evolutionarily conserved fold of the gas vesicle wall protein.</p><p>The box size and pixel size of the 2D classes is contained in the file names. A selected and sharpened 2D class for display in the manuscript is included in .png format.</p><p><strong>AlphaFold2_Models_5merRib_DifferentOrganisms.zip</strong></p><p>This folder contains five AlphaFold2 predictions of a single rib of the gas vesicle wall for organisms that are evolutionarily only little related (GvpA1 and GvpA2 from <i>B.megaterium</i>, GvpA from <i>A.flos-aquae</i> and GvpA1 and GvpA2 from <i>H.salinarum</i>). AF2 predicts very similar structure for these organisms, further supporting the high conservation of the gas vesicle wall.</p><p><strong>AnaGvpA_GvpC_ComputationalDocking_HADDOCK.zip</strong></p><p>In the manuscript, we propose a binding mode of the secondary protein GvpC to <i>A.flos-aquae</i> gas vesicles using computational docking with HADDOCK. We present two possible solutions with opposite orientation. The cif-files of the docking solution is contained in this folder.</p><p><strong>GasPoreAnalysis.zip</strong></p><p>We analysed gas pores between α-helix 1 of adjacent GvpA monomers using MOLE2.5. The three resulting tunnels are in this folder. The respective pdb files contain the constriction in Ångstrom in each line. A Chimera 1.13.1 session is included for visualisation.</p>
Data for: European mushroom assemblages are phylogenetically structured by temperature
<p><span>Recent global warming affects species compositions at an unprecedented rate. To predict climate-induced changes in species assemblages, a better understanding of the link between species occurrence and climate is needed. Macrofungal fruit body assemblages are correlated with the thermal environment at the European scale. However, it is still unknown whether macrofungal communities are also phylogenetically structured by thermal environments. Thermal environments are characterized by annual temperature means but also by intra-annual temperature variability (hereafter termed temperature seasonality), which are both considered in this study. Here, we used distribution data of </span><span>2,882 </span><span>species based on fruit body records across Europe to address two main questions: (i) Are mushroom assemblages at the extremes of the mean (warm and cold) and seasonal (high intra-annual variability, i.e. continental) climate gradient phylogenetically more similar than expected (phylogenetic alpha diversity); (ii) are mushroom assemblages, that are subject to different mean and seasonal temperature conditions, composed of different lineages (phylogenetic beta diversity). Our phylogenetic alpha diversity analysis shows that mushroom assemblages are phylogenetically structured by warm and cold environments, indicating that phylogenetically related species with similar traits thrive under more extreme conditions. In contrast, assemblages are phylogenetically more dissimilar (overdispersed) in temperature seasonal environments, indicating limiting similarity. Phylogenetic beta diversity was significantly correlated with mean and seasonal temperature differences, a response mainly driven by a few genera. Our results show that macrofungal assemblages are phylogenetically structured by temperature across Europe, suggesting phylogenetically constrained specialization towards temperature extremes. Predicted anthropogenic warming is likely to affect species composition and phylogenetic diversity with additional consequences for the carbon- and nutrient cycles.</span></p>
Raw data and alignments for: Application of palaeogenetic techniques to historic mollusc shells reveals phylogeographic structure in a New Zealand abalone
<p>Natural history collections worldwide contain a plethora of mollusc shells. Recent studies have detailed the sequencing of DNA extracted from shells up to thousands of years old and from various taphonomic and preservational contexts. However, previous approaches have largely addressed methodological rather than evolutionary research questions. Here we report the generation of DNA sequence data from mollusc shells using such techniques, applied to <em>Haliotis virginea</em> Gmelin, 1791, a New Zealand abalone, in which morphological variation has led to the recognition of several forms and subspecies. We successfully recovered near-complete mitogenomes from 22 specimens including 12 dry-preserved shells up to 60 years old. We used a combination of palaeogenetic techniques that have not previously been applied to shell, including DNA extraction optimized for ultra-short fragments and hybridization-capture of single-stranded DNA libraries. Phylogenetic analyses revealed three major, well-supported clades comprising samples from: 1) the Three Kings Islands; 2) the Auckland, Chatham and Antipodes Islands; and 3) mainland New Zealand and Campbell Island. This phylogeographic structure does not correspond to the currently recognized forms. Critically, our non-reliance on freshly collected or ethanol-preserved samples enabled inclusion of topotypes of all recognized subspecies as well as additional difficult-to-sample populations. Broader application of these comparatively cost-effective and reliable methods to modern, historical, archaeological and palaeontological shell samples has the potential to revolutionize invertebrate genetic research.</p>
Supporting Data for: Resolving high potential structural deterioration in Ni-rich layered cathode materials for lithium-ion batteries operando
<p>The following file contains supporting data for "Resolving high potential structural deterioration in Ni-rich layered cathode materials for lithium-ion batteries operando" manuscript.</p>
Detailed data for choroidal parameters including CVI, CCP and SFCT in iERMs eyes in terms of different structural retinal status.
<p>Detailed data for choroidal parameters including CVI, CCP and SFCT in iERMs eyes in terms of different structural retinal status.</p>
Data for paper entitled "Effect of iron content on the thermal conductivity of orthopyroxene with implications for the thermal evolution of S-type asteroids and the thermal structure of the Moon"
<p>This data include all the plat data in the paper "<strong>Effect of iron content on the thermal conductivity of orthopyroxene with implications for the thermal evolution of S-type asteroids and the thermal structure of the Moon"</strong></p>
Methods for structural variant detection with long-read sequencing data
<p>SV calls from different long-read based SV callers on sequencing data. SV results evaluated in Methods for structural variant detection with long-read sequencing data.</p> <p>NA24385_Pacbio_HiFi -> HiFi_L1 in paper</p> <p>NA24385_Pacbio_MtSinai -> CLR_L1 in paper</p> <p>NA24385_Pacbio_CLR_SRX7668835 -> CLR_L2 in paper</p> <p>NA24385_Pacbio_CLR_SRX6719924 -> CLR_L3 in paper</p> <p>NA24385_ONT_Promethion -> Nano_L1 in paper</p>
Data for: Estimating density dependence, environmental variance and long-term selection on a stage-structured life history
<p>We model growth of a density-dependent stage-structured population undergoing small or moderate fluctuations around a deterministically stable equilibrium in a stochastic environment, assuming that a weighted sum of stage abundances, N, exerts density dependence on the stage-specific vital rates of survival and reproduction. We approximate the dynamics of N as a onedimensional stochastic process with three key parameters: the density-independent growth rate and the net density dependence and environmental variance in the life history. Comparisons of populations and species with different life histories are facilitated using the key parameters, which we show how to estimate from long-term demographic data on fluctuations in the vital rates. We also show that life history evolution is a stochastic maximization of a simple function of the key parameters. Elements in the long-term selection gradient acting on the life history can be expressed as sensitivities of this function with respect to density-independent, density-dependent, and stochastic components of the vital rates. Using years of demographic data on a great tit population, we estimate the key demographic parameters, which accurately predict the observed mean, coefficient of variation, and fluctuation rate of N, and also evaluate the long-term selection gradient on the population.</p>
Supplementary material 2 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the four successive thresholds used to illustrate Figure 5: Explanation note: Component data are used to illustrate the structure of the subset of Bactrocera carambolae and Bactrocera dorsalis populations. The highest Betweenness-centrality is highlighted in blue.
Supplementary material 1 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the five successive thresholds used to illustrate Figure 4: Explanation note: Component data are used to illustrate the structure of the subset of Bactrocera carambolae populations. The Highest Betweenness-centrality is highlighted in blue.
Supplementary material 4 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Comparisons among three different the individual admixture plots: Explanation note: Comparisons among the individual admixture plots of 289 individuals, for K = 3, considering correlated allele frequency, uncorrelated allele frequency, and missing data as recessive homozygotes for the null alleles, respectively.
Supplementary material 3 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the four successive thresholds used to illustrate Figure 6: Explanation note: Component data are used to illustrate the structure of the subset of the Salaya5 strain and wild populations. The highest Betweenness-centrality is highlighted in blue.
Role of the horizontal SST structure in the modulation of heavy precipitations over the Ligurian Sea - time averaged data
<p>Time averaged data used in the analysis the paper Meroni, A. N., A. Parodi and C. Pasquero "Role of the horizontal SST structure in the modulation of heavy precipitations over the Ligurian Sea". The variables are SST, downwind SST gradient, SST laplacian, surface wind magnitude and convergence.</p>
Data set for "Parametric Study of the Harmonic Structure of Lower Hybrid Waves Driven by Energetic Ions"
<p>After unzipping the zip file, you can produce the figures shown in our paper except Figure 9 by executing the Gnuplot scripts.</p>
Crystal structure, PXRD, FTIR-ATR, thermal analysis, DFT and ESP data
<p>The zip file contains folder with selected PXRD, FTIR-ATR, thermal analysis, single crystal structure (CIF) data, as well as calculated ESP data, as well as data relevant for periodic DFT calculations.</p>
Data For: City divided: Unveiling family ties and genetic structuring of coyotes in Seattle
<p>Included in the zip file:</p> <ol> <li>ReadMe file</li> <li>R Project</li> <li>3 R Markdown Files</li> <li>All necessary scripts and data files needed to replicate analyses</li> </ol>
Raw data for 'Prediction of Photodynamics of 200 nm Excited Cyclobutanone with Linear Response Electronic Structure and Ab Initio Multiple Spawning'
<p>Raw data from AIMS simulations and scripts for image generation for the paper "Prediction of Photodynamics of 200 nm Excited Cyclobutanone with Linear Response Electronic Structure and Ab Initio Multiple Spawning": J. Chem. Phys. 2024.</p>
Data for "Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure"
<p>New York City contact network data used in the publication “<a href="https://doi.org/10.1016/j.socnet.2024.06.003">Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure</a>” (LA-UR-23-26868). This contact network comes in the form of a weighted edge list. Each row describes an edge, with the first and second column containing the labels of the nodes connected by the edge, and the third column contains the corresponding weight of the edge. In this network, an edge encodes an interaction between two individuals and the weight describes the duration of the interaction in seconds. In total the edge list describes 6,376,729,847 interactions among 6,813,615 individuals; the first 10 interactions are listed below as an example.</p> <p>2, 1, 84121<br>4, 3, 83654.4<br>5, 3, 79591.4<br>5, 4, 87642<br>6, 3, 79853<br>6, 4, 81604<br>6, 5, 79146<br>8, 7, 80604<br>10, 9, 84259.6<br>12, 11, 68990.8</p> <p> </p> <p>This work is approved for public distribution under LA-UR-24-25046.</p>
Data from: Climate interacts with the functional trait structure of tree communities to influence forest productivity
<p>Tree functional diversity can increase forest productivity by enhancing species interactions and providing greater growth stability. However, very few studies have examined the influence of tree community trait structure on survivor growth, recruitment, and mortality simultaneously, which are the main drivers of forest population dynamics. Here we explore the interactions among functional diversity, productivity, and climate to investigate the role of the trait structure of communities on forest productivity and to determine under what circumstances functional diversity should be promoted to ensure forest adaptive capacity under future climate. Using random-forest modeling and a network of permanent sample plots covering a broad gradient of climatic conditions, we isolated the effects of functional diversity—described as the distribution of trait values in a community—and climate variables on net forest productivity (NFP), survivor growth, recruitment, and mortality. Based on our findings, community-level trait structure affects forest productivity in different ways. NFP was influenced by three traits from three different plant strategy dimensions, whereas survivor growth and recruitment were strongly correlated with leaf and resource acquisition traits, and tree mortality with a mix of traits reflecting various plant strategies. We also observed climate interactions with the functional trait structure of tree communities. For instance, we observed an interaction between drought tolerance and mean annual temperature: at low temperatures, NFP biomass accumulation increased with the value of the drought tolerance trait; however, at higher temperatures, the opposite pattern was observed. However, we found contrasting patterns of population response to climate variability, depending on their functional diversity. Greater functional diversity does not necessarily increase biomass accumulation under different climatic conditions.</p> <p><em>Synthesis</em>. As all components of forest productivity contribute to NFP, studies on forest productivity should not only consider survivor growth but also recruitment and mortality. Each component responds differently in terms of biomass changes to climatic variation, according to the trait structure of tree communities. This study provides a framework to identify the trait structure that should be targeted under different climate scenarios to anticipate change and help strengthen forest response capacity to climate change.</p>
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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.