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469 results for “Dimensions”
A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context-Figure 2. Identified risk factors hierarchy
<p>AED - antiepileptic drug, CP - cerebral palsy, GDD - global developmental delay, GA - gestational age, BW- birth weight, RS - repeated/recurrent seizure, MD - type/mode of delivery, AS1 - Apgar score at 1 minute, AS5 - Apgar score at 5 minute, AS10 - Apgar score at 10 minute, SO - seizure onset, ST_EPI - status epilepticus, UBS - ultrasound brain scan, MSU- maternal substance used, MIS – maternal inflammatory state, PRM- prolonged rupture of membranes, PNN – postnatal neuroimaging, PNS – postnatal seizure. The most frequently identified risk factors were the EEG findings (abnormal / severe electroencephalogram results), seizure characteristics (type, onset, duration, semiology), etiology, birth weight, Apgar score, cerebral ultrasound scan findings (abnormal) (Figure 2).</p>
A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context-A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context
<p>R retrospective, P prospective, CC case – control study, MC multicenter controlled trail, PB populational based, HB hospital based, C clinical, CT computed tomographic scan, MRI cerebral magnetic resonance imaging, CUS cranial ultrasonography / cerebral ultrasound, USG ultrasonography, EEG electroencephalogram (standard), CpH cord Ph, BpH blood Ph, HT therapeutic hypothermia It can be noticed that seizure diagnosis was based on clinical grounds and functional explorations naming neuroimaging and/or EEG procedures (conventional EEG, aEEG, vEEG, CUS, MRI). The minimum number of newborns considered in these studies was 55, while the maximum was 403 with a mean of 148 (SD=86.75, median=112, IQR: (98,175)) and a total of 2226 evaluated cases.</p>
data for "Could we achieve the on-line Measurements of the Optical Fractal Dimensions of Black Carbon?"
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Data of "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion"
<div> </div> <div> <pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion", journal = "Additive Manufacturing", pages = " ", year = "2024", issn = "", doi = "https://doi.org/10.1016/j.addma.2024.104382", author = "L. Cobian, E. Maire, J. Adrien, U. Freitas, J.P. Fernandez-Blazquez, M.A. Monclus, J. Segurado"</pre> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 862015</p> </div>
Evaluating an instrument of the research software related to software use and disclosure - Dimension 1 - Dataset of Focus Groups
<p>Artifacts used for data collection and analysis of the focus groups sessions during the evaluation of an instrument for research software related to software use and disclosure - dimension 1.</p>
Text-fig. 4. Distribution of arsinoitheres in Africa. Reconstruction of Arsinoitherium is adapted from Pomerol (1973) (the body in the image is probably too similar to that of an elephant, but the reconstruction gives an idea of the dimensions and possible body plan of Arsinoitherium). in Arsinoitherium (Embrithopoda) And Other Large Mammals And Plants From The Oligocene Of Tunisia
Text-fig. 4. Distribution of arsinoitheres in Africa. Reconstruction of Arsinoitherium is adapted from Pomerol (1973) (the body in the image is probably too similar to that of an elephant, but the reconstruction gives an idea of the dimensions and possible body plan of Arsinoitherium).
Initiation of speciation across multiple dimensions in a rock-restricted, tropical lizard
<p>Population isolation and concomitant genetic divergence, resulting in strong phylogeographic structure, is a core aspect of speciation initiation. If and how speciation then proceeds and ultimately completes depends on multiple factors that mediate reproductive isolation, including divergence in genomes, ecology, and mating traits. Here we explored these multiple dimensions in two young (Plio-Pleistocene) species complexes of gekkonid lizards (<em>Heteronotia</em>) from the Kimberley–Victoria River regions of tropical Australia. Using mtDNA screening and exon capture phylogenomics, we show that the rock-restricted <em>H</em>. <em>planiceps</em> exhibits exceptional fine-scale phylogeographic structure compared to the co-distributed habitat generalist <em>H. binoei</em>. This indicates pervasive population isolation and persistence in the rock-specialist, and thus a high rate of speciation initiation across this geographically complex region, with levels of genomic divergence spanning the "grey zone" of speciation. Proximal lineages of <em>H. planiceps</em> were often separated by different rock substrates suggesting a potential role for ecological isolation; however, phylogenetic incongruence and historical introgression were inferred between one such pair. Eco-morphological divergence among lineages within both <em>H. planiceps</em> and <em>H. binoei</em> was limited, except that limestone-restricted lineages of <em>H. planiceps</em> tended to be larger than rock-generalists. By contrast, among-lineage divergence in the chemical composition of epidermal pore secretions (putative mating trait) exceeded eco-morphology in both complexes, but with less trait overlap among lineages in <em>H. planiceps</em>. This system — particularly the rock-specialist <em>H. planiceps</em> — highlights the role of multidimensional divergence during incipient speciation, with divergence in genomes, eco-morphology, and chemical signals all at play at very fine spatial scales.</p>
Identifying learning dimensions in CS project descriptions
<p>For this study, we conducted a qualitative content analysis of a random sample of 94 English-language project descriptions stored in the CS Track database with the goal of determining which dimensions of learning are reflected most prominently in these texts. Using a slightly modified version of the model of individual learning outcomes developed by Phillips et al. in 2018 as a coding rubric, two members of the research team independently coded all project descriptions by manually assigning phrases, sentences and short paragraphs to eight main categories and 21 subcategories. From these text snippets, distinctive and frequently occurring keywords were extracted, which have since been used in follow-up studies. </p> <p>Our analysis revealed that some learning dimensions (such as data collection or using technology) are very prominently discussed in the project descriptions we studied, while others (e.g. experimenting, study design, community action) are clearly underrepresented. In other words, the project descriptions analysed only partially reflect the educational potential of participation in CS. Based on these findings, we suggested possible explanations and ways in which the issue could be addressed on the level of both project design and project communication.</p> <p>This study profited immensely from the kind support of Tina Phillips and her colleagues, who agreed to share parts of their coded dataset with us.</p> <p>Details related to the analysis procedure are provided in a paper which is currently under review (on the date of submission of this deliverable - November 2022), no link to a repository is available. Contact the main authors if you have interest to receive further information).</p> <p>References: Phillips, T., Porticella, N., Constas, M., & Bonney, R. (2018). A framework for articulating and measuring individual learning outcomes from participation in citizen science. Citizen Science: Theory and Practice, 3(2).</p> <p>More information on this research can be found in D2.2 section 5.1.</p> <p><strong>Content and grouping: </strong></p> <ul> <li> <p>coding rubric used (Main category, Subcategory, Definition (Draft) and Inclusion/exclusion criteria) columns)</p> </li> </ul> <ul> <li> <p>complete coding (i.e. including CS Track projects title)</p> </li> <li> <p>calculation of rate of agreement between coders</p> </li> <li> <p>list of keywords extracted</p> </li> <li> <p>list of projects titles and the website URL from where we extracted the information</p> </li> </ul>
(new version data) Probing the atomically diffuse interfaces in core-shell nanoparticles in three dimensions
<p><strong>Deciphering the three-dimensional atomic structure of solid-solid interfaces in core-shell nanomaterials is the key to understand their remarkable catalytical, optical and electronic properties. Here, we probe the three-dimensional atomic structures of palladium-platinum core-shell nanoparticles at the single-atom level using atomic resolution electron tomography. We successfully quantify the rich structural variety of core-shell nanoparticles with heteroepitaxy in 3D at atomic resolution. Instead of forming an atomically-sharp boundary, the core-shell interface is atomically diffuse with an average thickness of 4.2 Å, irrespective of the particle's morphology or crystallographic texture. We observed dissolved free Pd and Pt single atoms and sub-nanometer clusters using cryogenic electron microscopy. The high concentration of Pd in the diffusive interface is highly related to the free Pd atoms dissolved from the Pd seeds. These results advance our understanding of core-shell structures at the fundamental level, providing potential strategies into precise nanomaterial manipulation and chemical property regulation.</strong></p> <p> </p> <p>The data and source codes for the paper "Probing the atomically diffuse interfaces in core-shell nanoparticles in three dimensions" are posted below.</p> <p><strong># Repositary Contents</strong></p> <p><strong>### 1. Experiment Data</strong></p> <p>Folder: [Measured_data](./1_Measured_data)</p> <p>This folder contains denoised and aligned ADF-STEM projections and corresponding finalized tilt angles for three Pd@Pt core-shell nanoparticles. Three particles are named PB (pentagonal bipyramid shaped), EPB (elongated pentagonal bipyramid shaped) and TO (truncated octahedron shaped), respectively.</p> <p><strong>### 2. Reconstructed 3D Volume</strong></p> <p>Folder: [Final_reconstruction_volume](./2_Final_reconstruction_volume)</p> <p>This folder contains 3D tomographic reconstruction volumes of three particles. For the source code of RESIRE algorithm used in these reconstructions, please see the [source code](https://github.com/AET-MetallicGlass/Supplementary-Data-Codes/tree/master/2_RESIRE_package) of Yao Yang's paper on github.</p> <p><strong>### 3. Atom Tracing and Classification</strong></p> <p>Folder: [Tracing_and_classification](./3_Tracing_and_classification)</p> <p>This folder contains the source code to trace and classify atoms in the 3D volume.</p> <p><strong>### 4. Experimental Atomic Models</strong></p> <p>Folder: [Final_coordinates](./4_Final_coordinates)</p> <p>This folder contains the final coordinates of three nanoparticles.</p> <p><strong>### 5. Analysis of core-shell interface and others</strong></p> <p>Folder: [Analysis_of_interface](./5_Analysis_of_interface)</p> <p>This folder contains the codes to analyse the pair distribution function (PDF), the core-shell interface, the local coordination structure (PTM), the displacement and strain map of three nanoparticles.</p>
Data and source code for "Spherical Air Mass Factors in One and Two Dimensions with SASKTRAN 1.6.0"
<p>Supplementary data for "Spherical Air Mass Factors in One and Two Dimensions with SASKTRAN 1.6.0":</p> <ul> <li>source: source code and data required to reproduce all figures</li> <li>amf-tables: data in NETCDF4 format for the air mass factor tables discussed in Section 5, which were used in the following publications by Griffin et al.: <ul> <li>"High-Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands" (2018, <a href="https://doi.org/10.1029/2018GL081095">https://doi.org/10.1029/2018GL081095</a>)</li> <li>"Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation" (2021, <a href="https://doi.org/10.5194/amt-2021-223">https://doi.org/10.5194/amt-2021-223</a>)</li> </ul> </li> </ul>
Data from: Leaf metabolic traits reveal hidden dimensions of plant form and function
<p>In this study, we interpreted leaf metabolome variation among 457 tropical and 339 temperate plant species to understand how the metabolome contributes to macroecological variation in plant functioning. Metabolome data were generated using liquid chromatography mass spectrometry, annotated with compound names (where possible), and cross-referenced against chemoinformatics databases to derive metabolite chemical properties. We then compared variation in leaf metabolite chemical properties among species with variation in classical plant functional traits.</p>
Financial dimensions of global zoonotic disease risks
<p>The CSV files contain cleaned lists of companies and shareholders used in the study "<strong>Financial dimensions of global zoonotic disease risks</strong>". Code for the analysis is available at <a href="https://github.com/juanrocha/finance_tipping">https://github.com/juanrocha/finance_tipping</a> and a preprint of the study at <a href="https://beijer.kva.se/publication/financial-dimensions-of-global-zoonotic-disease-risks/">https://beijer.kva.se/publication/financial-dimensions-of-global-zoonotic-disease-risks/</a></p>
Initiation of speciation across multiple dimensions in a rock-restricted, tropical lizard
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Multiple dimensions of phylogenetic diversity are needed to explain the complex aboveground-belowground diversity relationships
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Data from: Beak dimensions affect feeding performance within a granivorous songbird species
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Data from: Functional and phylogenetic dimensions of tree biodiversity reveal unique geographic patterns
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Multiple dimensions of dietary diversity in large mammalian herbivores
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Data from: Leaf metabolic traits reveal hidden dimensions of plant form and function
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Creosote Plant Dimension Study at the Sevilleta National Wildlife Refuge, New Mexico (1989-2008)
This project was designed to investigate the response of plant growth and reproduction to short- and long-term variation in biotic and abiotic environmental variables. Several perennial taxa, including tree (Juniperus monsperma and Pinus edulis), shrub (Larrea tridentata) and bunch grasses (Oryzopsis hymenoides (now Achnaterum hymenoides) and Sporobolus contractus) species, were monitored at 1-3 sites differing in elevation and topography as well as edaphic variables and annual precipitation. The sites represented optimal or marginal/transitional zones for particular species. Demographic measurements were made biannually, after the 'wet' (fall) and 'dry' (spring) seasons. For tree and shrub species, estimates of growth and reproduction were based on branch demography, with ten branch tips from 10-20 individuals per species per site repeatedly measured from 1989-1993. For J. monsperma, P. edulis and L. tridentata, vegetative growth (i.e., branch growth) as well as reproduction were monitored. Additional measurements included needle length for P. edulis and leaf production, leaf size and branchlet production for L. tridentata. For grasses, basal diameter, leaf length and reproduction were monitored for 100 individuals per species per site. This project, SEV024, contains only data on creosote branch dimensions. Data on other variables and species is contained in SEV006, SEV025, SEV026, SEV027, and SEV028.
Pinon-Juniper Plant Dimension Study at the Sevilleta National Wildlife Refuge, New Mexico (1989-1999)
This project was designed to investigate the response of plant growth and reproduction to short- and long-term variation in biotic and abiotic environmental variables. Several perennial taxa, including tree (Juniperus monsperma and Pinus edulis), shrub (Larrea tridentata) and bunch grasses (Oryzopsis hymenoides (now Achnaterum hymenoides) and Sporobolus contractus) species, were monitored at 1-3 sites differing in elevation and topography as well as edaphic variables and annual precipitation. The sites represented optimal or marginal/transitional zones for particular species. Demographic measurements were made biannually, after the 'wet' (fall) and 'dry' (spring) seasons. For tree and shrub species, estimates of growth and reproduction were based on branch demography, with ten branch tips from 10-20 individuals per species per site repeatedly measured from 1989-1993. For J. monsperma, P. edulis and L. tridentata, vegetative growth (i.e., branch growth) as well as reproduction were monitored. Additional measurements included needle length for P. edulis and leaf production, leaf size and branchlet production for L. tridentata. For grasses, basal diameter, leaf length and reproduction were monitored for 100 individuals per species per site. Pinon-juniper plant dimension data was collected to obtain a measure of the change in the size of individual pinon and juniper trees through time. This data encompasses growth over 11 years and was to be used in conjunction with data in the Sevilleta plant demography and plant physiology data bases. However, those studies were discontinued in 1993. This project, SEV025, contains only data on pinon-juniper plant dimensions. Data on other variables and species is contained in SEV006, SEV024, SEV026, SEV027, and SEV028.
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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.