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3,655 results for “Structural data”
Seismic structure beneath the Avacha and Koryaksky volcanoes in Kamchatka based on the data of permanent and temporary networks
<p>This file contains the files to reproduce the results presented in the article: <strong>Seismic structure beneath the Avacha and Koryaksky volcanoes in Kamchatka based on the data of permanent and temporary networks </strong>by Kitsura E., Koulakov I., Jakovlev A., Abkadyrov I., Bushenkova N., Chebrov D., Izbekov P., and Qaysi S.I., submitted to <em>Journal of Geophysical Research, Solid Earth</em>.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Avacha group of volcanoes.</p> <p>3. README_AVA__KOR.pdf file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
Data for Selfing species has greater genetic diversity and less structure than related outcrossing species due to seed dispersal and population history in Roscoea (Zingiberaceae)
<p>Data matrix of two species with nexus format.</p>
Short-Term Effects of Moderate Severity Disturbances on Forest Canopy Structure- Derived Data
<p>NEON plot-level derived tables used in this study. All the derived data were openly available from The National Science Foundation's National Ecological Observatory Network (NEON).</p> <ul> <li>01: R codes for 01) LiDAR-derived canopy metrics calculation; 02) Modelling</li> <li>02: Input ground survey data with removed duplicate rows (tree_rm_duplicates.csv); CSV files - NEON vegestructure data (disturbance_structural_diversity_data_2022_1109_den4.csv)</li> </ul> <p>All NEON’s Discrete return LiDAR point cloud (DP1.30003.001) (NEON 2021a) and Vegetation structure (DP1.10098.001) (NEON 2022) data are available on NEON data portal as follows: <a href="https://data.neonscience.org/data-products/DP1.30003.001">https://data.neonscience.org/data-products/DP1.30003.001</a> (<a href="https://doi.org/10.48443/6E8K-3343">https://doi.org/10.48443/6E8K-3343</a>), and <a href="https://data.neonscience.org/data-products/DP1.10098.001/RELEASE-2022">https://data.neonscience.org/data-products/DP1.10098.001/RELEASE-2022</a> (<a href="https://doi.org/10.48443/RE8N-TN87">https://doi.org/10.48443/RE8N-TN87</a>), respectively.</p> <p>R scripts for calculating canopy metrics (Hardiman et al. 2021) are available on Environmental Data Initiative (EDI): <a href="https://doi.org/10.6073/pasta/97f8092c10aecbc62aec12557ecb52bd">https://doi.org/10.6073/pasta/97f8092c10aecbc62aec12557ecb52bd</a></p> <p> </p> <p>Reference</p> <ul> <li>Hardiman, B.S., E.A. LaRue, J.R. Foster, R. Fahey, and J. Hatala Matthes. 2021. Forest structural diversity at NEON sites in the continuous USA that experienced recent moderate disturbance ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/97f8092c10aecbc62aec12557ecb52bd (Accessed 2023-05-24).</li> <li>NEON. 2021a. Discrete return LiDAR point cloud (DP1.30003.001). National Ecological Observatory Network (NEON). doi: <a href="https://doi.org/10.48443/6E8K-3343">https://doi.org/10.48443/6E8K-3343</a>.</li> <li>NEON. 2022. Vegetation structure (DP1.10098.001). National Ecological Observatory Network (NEON). doi: <a href="https://doi.org/10.48443/RE8N-TN87">https://doi.org/10.48443/RE8N-TN87</a>.</li> </ul>
Data from: Influence of abiotic and biotic factors on benthic marine community composition, structure and stability: a multidisciplinary approach to molluscan assemblages from the Miocene of northern Germany
<p><span>The Miocene mica-clay deposits of Groß Pampau (northern Germany) are well known for their diverse assemblages of marine mammals, particularly whales. Despite numerous systematic and biostratigraphic studies, an in-depth palaeoecological analysis of its diverse molluscan assemblages and a comprehensive palaeoenvironmental reconstruction are lacking. Here, we integrated new faunal, sedimentological, and geochemical data to reconstruct the marine palaeo-ecosystem of the late Miocene sedimentary succession of Groß Pampau, and to identify the drivers controlling the composition, ecological structure and temporal dynamics of its macrobenthic molluscan assemblages. Fossil evidence, coupled with analyses of clay mineral composition, grain size distribution, and geochemical data (total organic carbon, total nitrogen, δ<sup>13</sup>C, δ<sup>18</sup>O, δ<sup>15</sup>N of sediment and shells), suggest a warm-temperate, mesotrophic, low-energy, offshore marine setting mostly below storm wave base and a pronounced surface-to-bottom water temperature gradient. Low variability in sedimentological and geochemical signals indicates generally stable physico-chemical conditions, whereas occurrences of opportunistic species (<em>Varicorbula</em> <em>gibba</em>) point at </span><span>occasionally less favourable bottom conditions, possibly related to transient hypoxia</span><span>. Canonical correspondence analysis reveals that the distribution of molluscan assemblages correlates with total organic carbon and nitrogen content, suggesting organic matter availability at the seafloor as a controlling factor. A pattern of repetitive punctuated stasis of molluscan assemblages is defined by the temporal persistence in taxonomic and ecological composition, occasionally interrupted by shifts to a different faunal configuration. We suggest that both stable environmental conditions and biotic interactions, i.e. the top-down control exerted by carnivorous gastropods and environmental modification by ubiquitous burrowing deposit feeders, probably contributed to the observed temporal stability. Whereas comparison with Miocene molluscan assemblages of Gram, Denmark, revealed differences in the presence and relative abundance of genera, functional congruence indicates that offshore benthic ecosystems of the southern North Sea Basin functioned similarly.</span></p>
Data set and analytic codes supporting "Direct observation to assess the effects of habitat structure and complexity on resource-use behaviour of butterflies: a study case in smallholding oil palm plantations in Peninsular Malaysia"
<p>This deposit contains data set and analytic codes (with a meta data) supporting "Direct observation to assess the effects of habitat structure and complexity on resource-use behaviour of butterflies: a study case in smallholding oil palm plantations in Peninsular Malaysia".</p> <p>We investigated how habitat structure and complexity within smallholding oil palm plantations affected resource-use behaviours of two common butterfly species in the study areas (oil palm plantations in Banting, Selangor, Malaysia): Leptosia nina (Pieridae) and Ypthima spp. (Nymphalidae). Using direct-observation methods we developed, we followed seven and nine individuals of each species respectively, for three minutes in smallholder-owned immature monoculture and polyculture oil palm, and mature monoculture oil palm plantations. We recorded distance travelled by each individual from both straight line and the sums of distances between all perching points, and the position and characteristics of each perch location, where the individual landed. We compared our observations to control runs, generated by pairing observed distances travelled, but selecting the direction for each movement at random. By comparing the distance travelled and characteristics of locations used by butterflies and paired control points across habitats, we assessed how individuals in the two species used the local environment and whether this differed with habitat structure and complexity.</p> <p>Funding and research permission: Jardine Foundation, the Cambridge Trust, and Tim Whitmore Fund funded MFH, the Biotechnology and Biological Sciences Research Council (BBSRC) funded JS (USN: 304338625), and BBSRC (BB/T012366/1) funded the establishment of the plots and surveys of environmental parameters. Research permission was granted by the Economic Planning Unit (EPU) of Malaysia’s Prime Minister’s Department for MFH (Ref: EPU 40/200/19/3727) and JS (Ref: MEA 40/200/19/3705).</p>
Monitoring programme on strict forest reserves in Flanders (Belgium) - site level stand structure, regeneration and vegetation data
<p>This dataset contains comprehensive statistics on stand structure, rejuvenation, and vegetation for each forest reserve included in the monitoring program on strict forest reserves in Flanders (Belgium). The data collection and processing methodology used are described in <a href="https://purews.inbo.be/ws/portalfiles/portal/41050863/Vandekerkhove_etal_2021_MonitoringProgrammeOnStrictForestReservesFlanders.pdf">Vandekerkhove et al., 2021</a>.</p> <p>The dataset encompasses information on 15 distinct strict forest reserves and covers one to three consecutive forest inventories following a 10-year cycle. </p> <p>The "<strong>site_info.xlsx</strong>" file provides details on the 15 sites, including central coordinates, surface area, forest type, and the year when they were set aside. For detailed descriptions of the information provided, please refer to the "<strong>_metadata_site_info.xlsx</strong>" file.</p> <p>The “<strong>statistics_per_reserve.zip</strong>” file contains 12 separate csv-files with the following data:</p> <ul> <li> <p><strong>stat_dendro(_by)(_diam)(_species).csv</strong> : statistics on basic stand structure attributes (volume, basal area, number of trees per hectare, …) for living and dead standing trees (DBH-threshold 5cm): overall values and values per diameter class and/or species </p> </li> <li> <p><strong>stat_carbon.csv </strong>: statistics on biomass and carbon stock related to living trees</p> </li> <li> <p><strong>stat_logs(_by)(_decay)(_species).csv</strong> : statistics on volume per hectare of lying deadwood: values per decay stage and/or species </p> </li> <li> <p><strong>stat_reg(_by)(_height)(_species).csv</strong> : statistics on rejuvenation (numbers per ha of young trees - seedlings up to trees with DBH< 5cm): overall values and values per heightclass and/or species </p> </li> <li> <p><strong>stat_veg.csv</strong> : statistics on vegetation characteristics, including number of species, moss, herb, shrub, tree and waterlayer cover, cumulated canopy cover and soil disturbance by game</p> </li> <li> <p><strong>stat_herbs.csv</strong> : species-specific mean cover, percentage of plots where each species occurs</p> </li> </ul> <p>For descriptions of the common fields used in the above csv-files, please consult the "<strong>_metadata_statistics.xlsx</strong>" file. </p> <p>For detailed and comprehensive information regarding the meaning and characteristics of the calculated variables, please refer to the "<strong>_metadata_variables.xlsx</strong>" file. </p> <p>Plot-level results regarding dendrometry and regeneration are published separately<a href="https://zenodo.org/record/7588680"> here</a>, while information on vegetation can be found<a href="https://zenodo.org/record/7870740"> here</a>.</p> <p><strong>For any inquiries or further information, please contact Kris.vandekerkhove@inbo.be or Anja.leyman@inbo.be</strong>. The provided csv-files will be updated as required to address any issues or include data from additional surveys. . Please check for updated versions periodically.</p> <p><strong>We ask the users of the dataset to notify us of its use.</strong></p>
data for "Structure-function analysis suggests that the photoreceptor LITE-1 is a light-activated ion channel"
<p>Data S1 for Manuscript <strong>Structure-function analysis suggests that the photoreceptor LITE-1 is a light-activated ion channel.</strong></p>
FIGURES 108–113. Neoperla spp., structural details.108, N. africana Klap., 109, N. kalengonis n in Revision of the African Neoperla Needham, 1905 (Plecoptera: Perlidae: Perlinae) based on morphological and molecular data
FIGURES 108–113. Neoperla spp., structural details.108, N. africana Klap., 109, N. kalengonis n. sp., 110, N. sjostedti needhami Lestage, all from the stream Kalengo: 108, 109 scales in the SSt. Close-ups of egg chorion: 110, three egg striae, the 2 rows of micropunctures in the sulci diverge around an island with a micropyle; 111, N. africana, 112 N. camerunensis (End.), chorion with 2 micropyle orifices; 113, processes of tergites 7 and 8, and modifications of antecosta 8 (AC8), a combination of inner structures (light grey), and of fine pilosity and sclerites (dark grey) on the surface of tergites; diagrammatical. The SEM microgaphs are courtesy of MPI of Limnology, PL̂n.
Structures and data for minimalistic models of cage-like molecules in "Systematic exploration of accessible topologies of cage molecules via minimalistic models"
<p>Archives of .csv files containing data of lowest energy conformers for all cage configurations tested and associated .mol files. </p><p> </p><p>For paper: Systematic exploration of accessible topologies of cage molecules via minimalistic models with DOI: <a href="https://doi.org/10.1039/D3SC03991A">10.1039/D3SC03991A</a> </p>
The data used in correspondence on the article entitled "Reply: Correspondence on NanoVar's performance outlined by Jiang T. et al. in 'Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation'."
<p>The data used in correspondence on the article entitled “Reply: Correspondence on NanoVar’s performance outlined by Jiang T. et al. in ‘Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation’.”. It contains the benchmarking results evaluated by Truvari. The running log files of NanoVar are also included in this repository.</p>
Simulation data for "Structural biases in disordered proteins are prevalent in the cell " by Moses & Guadalupe et al. (2023)
<p>This dataset contains complete atomistic ensembles, as reported by Moses & Guadalupe et al. </p> <p><strong>Structural biases in disordered proteins are prevalent in the cell </strong><br> David Moses*, Karina Guadalupe*, Feng Yu, Eduardo Flores, Anthony Perez, Ralph McAnelly, Nora M. Shamoon, Gagandeep Kaur, Estefania Cuevas-Zepeda, Andrea D. Merg, Erik W. Martin, Alex S. Holehouse, Shahar Sukenik</p> <p>For all general inquiries regarding this work, please contact Shahar Sukenik directly. For any specific questions regarding this set of simulations, please contact Alex and Shahar. <br> </p>
The structure of the thermal landscape determined behavioral and physiological responses to simulated predation risk_data
<p><span>Although predators can deter an animal from regulating its body temperature by basking or shuttling, this response to predation should depend on the spatial distribution of thermal resources.</span><span> </span></p> <p><span><span>By </span><span>simulating predation risk, we showed that movement, thermoregulation, and corticosterone of male lizards (<em>Sceloporus jarrovi</em>) depended on the spatial distribution of shade.</span></span></p> <p><span><span>Simulated risk caused lizards to move less, thermoregulate worse, and circulate more corticosterone than they did without risk. However, a patchier distribution of shade enabled lizards to move more, thermoregulate better, and circulate less corticosterone when exposed to a simulated predator.</span></span></p> <p><span><span>In the absence of simulated risk, lizards in patchier environments moved less, thermoregulated better, and circulated less corticosterone, indicating the distribution of shade also affected the energetic cost of thermoregulation.</span></span></p> <p><span><span>This study provides the first test of a spatial theory of thermoregulation under the perceived risk of predation.</span></span></p>
Tradeoffs in alignment and assembly-based methods for structural variant detection with long-read sequencing data
<p>Source data for the paper "Tradeoffs in alignment and assembly-based methods for structural variant detection with long-read sequencing data"</p>
Raw data used in the manuscript "Influence of structure on the 40Ar/39Ar ages of alkali feldspar in the volcanic rocks"
<p>This data shows the raw results of some experiments performed in our manuscript: 1) the complete results of 40Ar/39Ar step-heating analysis, 2) the zircon U-Pb analytical results by SIMS, 3) shows the detailed raw data by infrared absorption spectroscopy experiment and 4) the detailed raw data by X-ray diffraction analysis.</p>
Research data supporting "Dynamic Local Structure in Caesium Lead Iodide: Spatial Correlation and Transient Domains"
<p>This is research data associated with "Dynamic Local Structure in Caesium Lead Iodide: Spatial Correlation and Transient Domains", accepted to Small. </p> <p>The repository contains the trajectories which support the conclusions of the paper, the MLIP parameters, and some additional visualizations.</p>
Data for: Consistently heterogeneous structures observed at multiple spatial scales across fire-intact reference sites
<p>Geospatial polygons representing fire-suppressed control sites against which fire-intact reference sites were compared in Chamberlain et al. (2023). Control sites represent areas with 1) no record of fire history, 2) no record of late 20th century or early 21st century timber management, and 3) no "Fast Change" detected by the Landscape Change Monitoring System dataset. All sites are predominantly within the yellow pine and mixed-conifer zone of California's Sierra Nevada, USA. Polygon boundaries were defined using the NHDPlusV2 catchments, and were manually reshaped using aerial imagery to ensure that polygons were > 100 ha, represented primarily forested areas, and excluded major roads, infrastructure, and major rock outcrops.</p> <p>Detailed description of the methods used to produce this dataset provided in:<br> Chamberlain, C.P., Cova, G.R., Cansler, C.A., North, M.P., Meyer, M.D., Jeronimo, S.M.A., Kane, V.R., 2023. Consistently heterogeneous structures observed at multiple spatial scales across fire-intact reference sites. Forest Ecology and Management.</p>
Real-World Cohort Study of Cardiopulmonary Function in Chinese Patients With Cardiovascular Disease: CPET Evaluation and Five-Year Prognostic Follow-Up Based on a Multicenter Structured Data Platform
ClinicalTrials.gov study NCT07130968. IPD Sharing: NO. Countries: 1. Publications: 3.
Data From: Broad- and fine-scale structure across the distribution of the Relict Dace (Relictus solitarius) in the Great Basin Desert, USA
Open the record for dataset details and reuse information.
Data from: Context-dependent effects of shifting large herbivore assemblages on plant structure and diversity
Open the record for dataset details and reuse information.
Data from: Continent-wide population genomic structure and phylogeography of North America’s most destructive conifer defoliator, the spruce budworm (Choristoneura fumiferana)
Open the record for dataset details and reuse information.
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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.