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3,655 results for “Structural data”
High-Resolution Pan-European Forest Structure Maps: An Integration of Earth Observation and National Forest Inventory Data
<p>We developed Pan-European maps of timber volume (V), above-ground biomass (AGB), and deciduous-coniferous proportion (DCP) with a pixel size of 10 x 10 m<sup>2</sup> for the reference year 2020 using a combination of a Sentinel 2 mosaic, Copernicus layers, and National Forest Inventory (NFI) data.</p> <p>For mapping, we used the k-Nearest Neighbor (kNN, k=7) approach with a harmonized database of species-specific V and AGB from 14 NFIs across Europe. This database encompasses approximately 151,000 sample plots, which were intersected with the above-mentioned Earth observation data. The maps cover 40<a> European countries, </a>forming a continuous coverage of the western part of the European continent.</p> <p>A sample of 1/3 of NFI plots was left out for validation, whereas 2/3 of the plots were used for mapping. Maps were created independently for 13 multi-country processing areas. Root-mean-squared-errors (RMSEs) for AGB ranged from 53 % in the Nordic processing area to <a>73 % </a>the South-Eastern area.</p> <p>The created maps are the first of their kind as they are utilizing a huge amount of harmonized NFI observations and consistent remote sensing data for high-resolution forest attribute mapping. While the published maps can be useful for visualization and other purposes, they are primarily meant as auxiliary information in model-assisted estimation where model-related biases can be mitigated, and field-based estimates improved. Therefore, additional calibration procedures were not applied, and especially high V and AGB values tend to be underestimated. Summarizing map values (pixel counting) over large regions such as countries or whole Europe will consequently result in biased estimates that need to be interpreted with care.</p> <p>The author list is sorted by last name except for the first and last authors who also serve as corresponding authors.</p> <p>Corresponding authors: <a href="mailto:Jukka.Miettinen@vtt.fi">Jukka.Miettinen@vtt.fi</a>, <a href="mailto:Johannes.Breidenbach@nibio.no">Johannes.Breidenbach@nibio.no</a></p>
IUCN: IUCN Structured Data
The International Union for Conservation of Nature (IUCN) is a membership Union uniquely composed of both government and civil society organisations. It provides public, private and non-governmental organisations with the knowledge and tools that enable human progress, economic development and nature conservation to take place together.<p></p>The International Union for Conservation of Nature (IUCN) is a membership Union uniquely composed of both government and civil society organisations. It provides public, private and non-governmental organisations with the knowledge and tools that enable human progress, economic development and nature conservation to take place together. <p></p>http://www.iucnredlist.org/
Data for "On the atomic structure of the β′′ precipitate by density functional theory"
<p>The dataset contains the DFT results which is the basis for the results and discussions in the related article, "On the atomic structure of the β′′ precipitate by density functional theory". The details of the DFT calculations are written in the article.</p> <p>The names of the OUTCAR files in enthalpy_study_OUTCARS.tar.gz are more or less self-explanatory, at least within the context of the journal article. The KPOINT tests have the following format for the KPOINTS "XYZ" where X is always a single digit, Y is first to get a double-digit, while Z gets a double-digit second. The max distance in reciprocal space is thus not a constant as the OUTCAR files would suggest.</p> <p> </p> <p>The LET_DATA is the linear-elastic theory displacement-field as explained in the article for different aspect ratios of the precipitate eye structure.</p>
Data Supplement for "Impact of Charged Surfaces on the Structure and Dynamics of Polymer Electrolytes: Insights from Atomistic Simulations"
<p>Data set containing the molecular dynamics simulation data used for the journal article "Impact of Charged Surfaces on the Structure and Dynamics of Polymer Electrolytes: Insights from Atomistic Simulations" (<span>Andreas Thum, </span><span>Diddo Diddens, </span><span>Andreas Heuer, </span><em>J. Phys. Chem. C</em> <strong>2021</strong>, <em>125</em>, 25392−25403, <a href="https://doi.org/10.1021/acs.jpcc.1c07751">https://doi.org/10.1021/acs.jpcc.1c07751</a>).</p>
T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data, Part 1
<p>Raw and processed MRI data of the study entiled: T1234-Part 1</p> <p>Authors: Chung (Kenny) Kan1, Rüdiger Stirnberg2, Marcela Montequin1, Omer Faruk Gulban3,4, A Tyler Morgan1, Peter Bandettini1, Laurentius (Renzo) Huber1</p> <ol> <li>NIMH, NIH, Bethesda, United States,</li> <li>German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,</li> <li>CN, FPN, University of Maastricht, The Netherlands,</li> <li>Brain Innovation, Maastricht, The Netherlands</li> </ol> <p><strong>Purpose</strong>: High-resolution fMRI at 7T is limited by limited registration quality between functional data with structural scans. We aim to provide a fast acquisition method that provides distortion-matched, artifact mitigated structural reference data.</p> <p><strong>Methods</strong>: We developed an efficient sequence approach with adjustable distortions, termed T1234: T1-weighted 2-inversion 3D-EPI with 4 directions for high-resolution fMRI. A forward Bloch model is implemented for T1 quantification and protocol optimization. 20 participants were scanned on 7T with structural and functional protocols to evaluate the utility of T1234.</p> <p><strong>Results</strong>: We find that a fast protocol provides reliable data for whole-brain segmentations in EPI-space in 3:00-3:40 min). It is robust across sessions, participants, and three 7T SIEMENS scanners. T1234 allows layer fMRI signal analysis with higher laminar precision.</p> <p><strong>Conclusion: </strong>This structural mapping approach allows precise registration with fMRI data. T1234 is implemented, validated, and tested to serve users of our sequence (locally and >50 centers worldwide). </p>
Figure 2 in Morphological and histological data on the structure of the lingual toothplate of Arapaima gigas (Osteoglossidae; Teleostei)
Figure 2. - Arapaima gigas. Dorsal view of the hyoid and branchial skeleton (After Taverne, 1977). (Bbr 1 = Basibranchial; Cbr 1-5 = Ceratobranchial; Chy = Ceratohyal; DmBr 1-5 = Dermobasibranchial; Ebr = Epibranchial; Ehy = Epihyal; HBr 1-3 = Hypobranchial; lb = gill rackers; PBr = Pharyngobranchial 2-4). Scale bar = 2 cm.
Figure 1 in Morphological and histological data on the structure of the lingual toothplate of Arapaima gigas (Osteoglossidae; Teleostei)
Figure 1. - Arapaima gigas. Lateral view of the skull (After Taverne, 1977). (Ang = Angular; Ant = Antorbital; Chy = Ceratohyal; Den = Dental; Dsph = Dermosphenotic; Iop = Interopercular; Iorb 1-4 = Infraorbitar; Iop = Infraopercular; Mx = Maxilla; Op = Opercular; Pmx = Premaxilla; Pop = Preopercular; Pt Posttemporal; Sop = Subopercular). Scale bar = 2 cm.
Figure 4 in Morphological and histological data on the structure of the lingual toothplate of Arapaima gigas (Osteoglossidae; Teleostei)
Figure 4. - Arapaima gigas. Dorsal view of the surface of the lingual dentary plate showing numerous teeth. Axis xx' and yy' demarcate the localisation of the transverse sections and the rectangles a and b point to the frontal sections. Scale bar = 1 cm. Figure 5. - Arapaima gigas. Frontal view of the cross section (yy') of the lingual dentary plate. Detail of the spatial arrangement of the bony trabeculae between the two bony laminae. A sagittally-sectioned tooth is squared (see Fig. 7). Cm = medullar cavity. Scale bar = 2 mm. Figure 6. - Arapaima gigas. External view of the lingual dentary plate showing the translucent tooth tips (arrows). Scale bar = 1 mm. Figure 7. - Arapaima gigas. Detail of the pulp cavity of the lingual tooth squared in Fig. 5. We observe thin infolds of the dentine wall in the pulp cavity (arrowheads). Scale bar = 250 µm.
Figure 3 in Morphological and histological data on the structure of the lingual toothplate of Arapaima gigas (Osteoglossidae; Teleostei)
Figure 3. - Arapaima gigas. Dorsal view of cleared and stained gill arches from specimens of various ontogenetic stages. The visceral arches on the left are in anatomical position, whilst those on the right are unfolded. A: Specimen UERJ PMB-127 (16.7 mm SL). The endoskeleton is fully cartilaginous, lacking any ossification centre, but showing a few teeth (arrowheads) developing in front of the line of copulas between the hyoid arch and second branchial arch (see detail Fig. 3B). B: Same specimen. Detail of the anterior half of the line of copulas showing lingual teeth (arrowheads). C: Specimen UERJ PMB-135 (27.6 mm SL). Basibranchial elements 1-3 and "hypo", "cerato" and "epi" elements show clear areas of diaphyseal ossification. Gill rackers and branchiostegal rays are ossified. D: Specimen UERJ PMB-159 (62.2 mm SL). The tongue plate (basibranchial toothplate) is clearly differentiated. There is at least one posterior toothplate on the surface of basibranchial 4 (arrowhead). E: Same specimen. Detail of the first two basibranchials showing many lingual teeth (arrowheads). F: Specimen UERJ PMB-106 (110 mm SL). The entire hyoid (except basihyal) and branchial skeleton are ossified, with the only joint areas remaining cartilaginous (coloured blue). Some small bony toothplates are located posterior to the line of copulas (arrowheads) at the base of the fifth gill arch. (Ab1-Ab5 = gill arches 1-5; Ah = hyoid arch; bb1-bb4 = basibranchial 1-4; bh = basihyal; cb1 = ceratobranchial 1; ch = ceratohyal; eb1-4 = epibranchial 1-4; eh = epihyal; hb1 = hypobranchial 1; hh = hypohyal; lb = gill rakers; lc = line copulas; pd Ab4 = branchial arch 4 toothplate; pdl = lingual (basibranchial) toothplate; rb = branchiostegal rays). Scale bars: A, C, E = 1 mm; B = 250 µm; D = 5 mm; F = 10 mm.
Data for Glacial isostatic adjustment reveals Mars' interior viscosity structure
<p>Present-day Martian interior models used in Broquet et al. (2024). All models use the following naming convention: Profile_NorthPole_Mars-TAYAK-dc-rho_south[-rho_north], where dc is the crustal thickness at the InSight landing site in km, rho_north and rho_south are the bulk density of the northern and southern hemisphere crust in g cm^-3. If added, XGRS provides the crustal heat producing element enrichment factor (X) with respect to the nominal Gamma Ray measured average of 49 pW kg^-1. </p> <p>Files with _60deg provide quantities averaged over the northern regions (>60°N) and _AVG give averages for the whole planet. Models with case numbers are from Plesa et al. (2018) [https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL080728]. </p> <p>Data Columns:<br>------------------------------<br>Column 1: Radius [m]<br>Column 2: Temperature [K]<br>Column 3: Viscosity [Pa s]<br>Column 4: Shear Velocity [m/s]<br>Column 5: Density [kg/m3]<br>Column 6: Shear Modulus [Pa]</p>
Data from: Autumn and winter plankton composition and size structure in the North Sea
<p><span>Plankton dynamics in temperate ecosystems have been mainly studied during productive seasons, with comparatively less research conducted during the winter, particularly on microplankton. Implementing plankton sampling during a regular fishery cruise, we investigated the North Sea micro- and mesozooplankton community composition, abundance and size structure (55-2000 µm) during autumn (Buchan/Banks area) and winter (Downs area) between 2013 and 2019. Samples were analyzed using image-based techniques. Community diversity (broad taxa) was relatively similar across years in both areas, with diatoms and tripos taxa sets dominating the microplankton community and gastropods and copepods the mesozooplankton one. The average micro- to mesoozooplankton ratio (in abundance) was 90:1 for Buchan/Banks, resulting in average Normalized Abundance Size Spectra (NASS) slopes of -1.45 ±0.18 SD. For Downs, the micro- to mesoozooplankton ratio was 235:1 and steeper NASS slopes of -1.67 ±0.20 SD due to a lower contribution of large organisms. Interannual changes in the planktonic community for each area and their potential environmental drivers were examined using a redundancy analysis (including taxonomy and size) and a correlation analysis using NASS slopes (size only). Both approaches highlighted the importance of water mass properties (e.g. salinity, temperature, turbidity) in shaping plankton dynamics, although the amount of explained variance differed between approaches (11 versus 46%). <span><span>Our results contribute to a better understanding of standing stocks of plankton and their environmental drivers. Specifically, novel insights were gained into microplankton dynamics, which play an important role in supporting the growth and survival of winter-spawned fish larvae in the North Sea. </span></span></span></p>
Research data for Structure and function of skin barrier lipids: Effects of hydration and natural moisturizers in vitro
<p>Research data for 10.1016/j.bpj.2024.10.006 Research data for Structure and function of skin barrier lipids: Effects of hydration and natural moisturizers in vitro. Biophysical Journal 2024.</p>
Development and Comparison of Model-Based and Data-Driven Approaches for the Prediction of the Mechanical Properties of Lattice Structures
<p>This dataset comes from the following paper:</p> <p>Chiara Pasini, Oscar Ramponi, Stefano Pandini, Luciana Sartore, Giulia Scalet, Development and Comparison of Model-Based and Data-Driven Approaches for the Prediction of the Mechanical Properties of Lattice Structures, J. of Materi Eng and Perform, 2024. <a href="https://doi.org/10.1007/s11665-024-10199-x">https://doi.org/10.1007/s11665-024-10199-x</a></p> <p>It contains:</p> <ul> <li>"Notes.pdf" describing all the files uploaded</li> <li>. m of the neural network</li> <li>. inp of the Abaqus finite element simulations</li> </ul>
Data from: Personality and social network structure influence cooperative dynamics across canid species
<p>In canids, cooperative behaviour occurs in many scenarios. However, most studies focus on single-species observations, not accounting for variation beyond the species-level. We modelled cooperative behaviour using Eigenvalue centrality as well as boldness combined with biological traits such as kinship, sex, age, mating system and foraging strategy in multiple canid species with Bayesian inference, Tukey HSD and distance correlation.</p>
Gaussian16 data for "Dynamic electronic structure fluctuations in the de novo peptide ACC-dimer revealed by first-principles theory and machine learning"
<p>This is the Gaussian 16 input and corresponding output, which was used as input into the machine learning presented in the paper titled "Dynamic electronic structure fluctuations in the de novo peptide ACC-dimer revealed by first-principles theory and machine learning". This upload is required before submission of the paper.<br><br>The 1001 and 100 snapshots from different extractions are preserved in separated directories. Each snapshot directory <code>*_snapshot</code> has the initial GROMACS snapshot <code>test_*.pdb</code> , the geometry after truncating the solvation shell in various formats, the Gaussian16 input, qsub input and the output directory <code>*.1</code> with a JobID number assigned by qsub. The output directory has the standard output from Gaussian in a <code>.log</code> file and <code>grep</code>ed output from the <code>.fchk</code> file in <code>*.out</code> .</p>
Data supporting publication: All-dielectric structural coloration empowered by bound states in the continuum
<p>This repository includes the data corresponding to the figures shown in the journal article entitled</p> <p>"All-dielectric structural coloration empowered by bound states in the continuum"</p>
Data from: Koe: Web-based software to classify acoustic units and analyse sequence structure in animal vocalisations
<p>1. Classifying acoustic units is often a key step in studying repertoires and sequence structure in animal communication. Manual classification by eye and ear remains the primary method, but new tools and techniques are urgently needed to expedite the process for large, diverse datasets.</p> <p>2. Here we introduce <i>Koe</i>, an application for classifying and analysing animal vocalisations. <i>Koe</i> offers bulk-labelling of units via interactive ordination plots and unit tables, as well as visualisation and playback, segmentation, measurement, data filtering/exporting and new tools for analysing repertoire and sequence structure—in an integrated environment.</p> <p>3. We demonstrate <i>Koe</i> with a real-world case study of New Zealand bellbird <i>Anthornis melanura</i> songs from an archipelago metapopulation. Having classified 21,500 units in <i>Koe</i>, we compare repertoires and sequence structure between sites and sexes.</p> <p>4. <i>Koe</i> is web-based (koe.io.ac.nz) and easy to use, making it ideal for collaboration, education and citizen science. By enabling large-scale, high-resolution classification and analysis of animal vocalisations, <i>Koe</i> expands the possibilities for bioacoustics research.</p>
Data for "Species richness and food-web structure jointly drive community biomass and its temporal stability in fish communities"
<p>Data for the paper "Species richness and food-web structure jointly drive community biomass and its temporal stability in fish communities" which is in minor revision in Ecology Letters (manuscript id:ELE-00589-2021.R1). A doi will be provided upon publication.</p> <p>Current citation: Danet, A., Mouchet, M., Bonnaffé, W., Thébault, E., & Fontaine, C. (In revision) Species<br> richness and food-web structure jointly drive total biomass and its temporal stability in<br> fish communities Minor revision in Ecology Letters.</p> <p>The repository constains data describing fish community monitoring across stream sections in metropolitan France over the period 1995-2018 by the French Office of Water and Aquatic Ecosystems (ONEMA) using electrofishing.</p> <p>The repository contains:</p> <ul> <li> description of fishing: fishing_protocol.csv <ul> <li>surface: sampled surface</li> <li>opcod: fishing operation code, a unique identifier for each sampling event</li> <li>station: unique identifier for each site</li> <li>nb_sp, nb_ind: number of species, number of individuals</li> </ul> </li> <li>geographical information: station_basin.csv <ul> <li>X, Y: spatial coordinates of the station, expressed in metres in Lambert93 (epsg:2154)</li> <li>basin: name of the hydrographic basin</li> </ul> </li> <li>environment: environment.csv ( _mean: mean, _med: median, _cv: coefficient of variation) <ul> <li>alt: altitude</li> <li>d_source: distance to source</li> <li>strahler: strahler order</li> <li>BOD: Biological Oxygen Demand</li> <li>temperature: water temperature</li> <li>flow: water flow</li> </ul> </li> <li>community data: community_data.csv <ul> <li>species: three digits code corresponding to a given species (see Table S1, Danet et al. in revision)</li> <li>nind: number of individuals</li> <li>biomass: biomass in gram</li> </ul> </li> <li>Length of each fish individual: fish_length.csv <ul> <li>length: length of the fish in millimeter</li> </ul> </li> <li>Inferred food-web: class_network.rda <ul> <li>data: <ul> <li>class_id: size class of a fish individual</li> </ul> </li> <li>network: these data.frame can be handled by igraph::graph_from_data_frame() <ul> <li>from, to: "to" eats "from"</li> </ul> </li> <li>composition: <ul> <li>sp_class: concatenation of species and class_id columns</li> <li>bm_std: biomass reported to the sampled surface</li> </ul> </li> </ul> </li> </ul> <p> </p> <p> </p>
Longitudinal structural MRI and behavioural data for mice prenatally exposed to maternal immune activation either early or late in gestation
<p>Prenatal maternal immune activation (MIA) is a risk factor for neurodevelopmental disorders. How the gestational timing of MIA-exposure differentially impacts downstream development remains unclear. The data presented here includes longitudinal structural magnetic resonance imaging (MRI) data from weaning to adulthood, and behavioural testing in adolescence and adulthood on C57BL/6 mice exposed to MIA induced by the viral mimetic, polyinosinic:polycytidylic acid (poly I:C) either early (gestational day [GD]9) or late (GD17) in gestation. </p> <p>The data published here was collected and analyzed for the following publication, where more details can be found (Guma et al., 2021 https://doi.org/10.1016/j.biopsych.2021.03.017). Briefly, we found that early MIA-exposure was associated with accelerated brain volume increases in adolescence/early-adulthood that normalized in later adulthood, in regions including the striatum, hippocampus, and cingulate cortex. Similarly, alterations in anxiety-like, stereotypic, and sensorimotor gating behaviours observed in adolescence normalized in adulthood. In contrast, MIA-exposure in late gestation had less impact on anatomical and behavioural profiles. </p> <p>In addition to the univariate analyses described above, we also undertook a multivariate analysis (partial least squares) to relate imaging and behavioural variables for the time of greatest alteration, i.e. adolescence/early adulthood. We further explored the molecular underpinnings of region-specific alterations in early MIA-exposed mice in adolescence using RNA sequencing (data for differentially expressed genes in the anterior cingulate cortex, dorsal hippocampus, and ventral hippocampus are available via the original publication https://doi.org/10.1016/j.biopsych.2021.03.017 for a separate cohort of adolescent mice prenatally exposed to MIA or vehicle at GD9). </p> <p>In this dataset, you will find a total of <strong>376 preprocessed structural MRIs</strong> (in MINC format) acquired at postnatal day ~21, ~38, ~60, and ~90 in mice exposed to poly I:C or vehicle control (0.9% sterile saline) at GD9 or 17. These are T1-weighted, manganese enhanced (50mg/kg 24 hours pre-scan), structural images at 100 micron isotropic resolution acquired on a 7 Tesla Bruker Biospec 70/30; matrix size of 180 x 160 x 90; 14.5 minutes, 2 averages, using 5% isoflurane for induction, 1.5% for maintenance of anesthesia during the scan. T1-weighted scans were preprocessed by stripping native coordinates, flipping left-right to maintain fidelity, denoising, correcting inhomogeneities in the bias field using the N4 algorithm, and registering in LSQ6 alignment (i.e. 6 degrees of freedom are allowed for imagine alignment: translations and rotations along x, y, and z dimensions). The demographics information for each animal is included in the <strong>demographics.csv</strong> file. </p> <p>Behavioural tests were performed following the postnatal day 38 and 90 scans in all animals with a 2 day rest period. These include: open field test, marble burying test, three chambered social approach, and prepulse inhibition. The attentional set shifting task was also performed following the final behavioural test in the postnatal day 90 wave of behaviours. The data for all of these tests is presented in its own individual .csv spreadsheet and includes data for both the timepoints evaluated.</p> <p>Included in this data set are the structural MRIs in MINC format, the behavioural .csv data, and a <strong>readme.txt</strong> file providing further detail on the data structure and content, and on how to interpret the data column titles. DICOMS are also available for the structural MRI data, as are the raw (not-preprocessed) MINC files, available upon request to the authors. </p> <p>Finally, the authors would like to acknowledge the funding bodies that supported the completion of this work including the Canadian Institute for Health Research, the Fonds de Recherche du Québec en Santé, and the Healthy Brains for Healthy Lives at McGill University.</p>
Assessment of 3D MINFLUX data for quantitative structural biology in cells
<p>Reanalysed data for "Assessment of 3D MINFLUX data for quantitative structural biology in cells"</p> <p>https://www.biorxiv.org/content/10.1101/2021.08.10.455294v1</p> <p>Contact Hell lab for the raw data</p> <p>https://www.mpibpc.mpg.de/hell</p>
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.