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388 results for “Data element”
Data from: "Rare earth elements sediment analysis tracing anthropogenic activities in the stratigraphic sequence of Alagankulam (India)"
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Scale dependent spatial structuring of mountain river large bed elements maximizes flow resistance - Data
<p>Datasets and R code related to manuscript entitled, "Scale dependent spatial structuring of mountain river large bed elements maximizes flow resistance". See '0_READ_ME.rtf' file for additional description of available files.</p>
Data from: Improving the Effectiveness of the Solid-Solution-Strengthening Elements Mo, Re, Ru and W in Single-Crystalline Nickel-Based Superalloys
<p>This dataset is the basis for the journal article "Improving the Effectiveness of the Solid-Solution-Strengthening Elements Mo, Re, Ru and W in Single-Crystalline Nickel-Based Superalloys" (<a href="https://doi.org/10.3390/met11111707">doi.org/10.3390/met11111707</a>). </p> <p>Differential Scanning Calorimetry (DSC), Electron-Probe Mirco-Analysis (EPMA equipped with WDS detectors), Compression Creep and CalPhaD calculation data are included in this dataset. In the resulting article the partitioning and solid solution strengthening behavior of the elements Mo, Re, Ru, and W are investigated in three different alloy collections:</p> <p>"Reference" alloys: ERBO/1 (based on the commercial alloy CMSX-4), ERBO/13 (optimized alloy: <a href="http://doi.org/10.1088/0965-0393/23/3/035004">doi.org/10.1088/0965-0393/23/3/035004</a>) and ERBO/15 (optimized alloy: <a href="http://doi.org/10.1002/9781119075646.ch4">doi.org/10.1002/9781119075646.ch4</a>)</p> <p>"Model" alloys: ERBO/17, ERBO/18, ERBO/19 and ERBO/32 - experimental SX Nickel-Based superalloys to investigate the influence of Ti and Ta on the partitioning behavior of W</p> <p>"Experimental" alloys: EXP10, EXP11, EXP12, EXP13, EXP14, EXP15, EXP16, EXP17, EXP18 - general investigation of the behavior of Mo, Re, Ru and W, in terms of partitioning and thermophysical properties.</p> <p>_________</p> <p> </p> <p>CalPhaD data: short meta data file included in the respective subdirectory</p> <p>DSC data: Meta data as header in each file</p> <p>EPMA data: For each alloy a directory includes a general meta data file "0.cnd", an element specific meta data file "*.cnd" and the actual mapping data of each element "*.txt" (element name is listed in the corresponding specific meta data file). All element compositions are given in wt.-% in the mapping data .txt files. Exceptions: "COMPO" maps represent the total amount of detector counts; The values correspond to counts if the mapping .txt files contain non-float (e.g. integer) values (usually this means that there is very little or none of that element present and should therefore not be quantified to a wt.-% value).</p> <p>Creep: short meta data file included in the respective subdirectory</p>
Finite Element model data for Academic Rotor bladed-disc system
<div> <div> <div> <p>A computational finite element based technique is proposed for developing a stochastic reduced order model for rotating bladed disc with spatial random inhomogeneities. The spatial inhomogeneities imply the system to be randomly mistuned. The formulation assumes the availability of a high fidelity finite element (FE) model for the tuned system. The corresponding FE matrices are antisymmetric on account of the Coriolis forces due to rotation. The spatial inhomogeneities, available from limited point measurements on the blades, are modelled as non-Gaussian random fields with arbitrary distributions. A low order stochastic computational model is developed by projecting the FE model onto a reduced dimensional state space defined in terms of specified observable nodal points and expressing the stochasticity through an arbitrary polynomial chaos (aPC) basis. This model enables probabilistic quantification of the variabilities in the system response and estimating failure probabilities. The methodology enables drastic reduction in the state space and stochastic dimensions, addresses the practical difficulties with having limited measurable data points, antisymmetric FE matrices, aPC representation in complex irregular geometries and carrying out probabilistic analyses on industrial systems, at significantly reduced computational costs. The methodology is illustrated through an academic rotor and an industrial rotor blade.</p> </div> </div> </div>
Scale dependent spatial structuring of mountain river large bed elements maximizes flow resistance - Data Revision
<p>Datasets and R code related to manuscript entitled, "Scale dependent spatial structuring of mountain river large bed elements maximizes flow resistance". See '0_READ_ME.rtf' file for additional description of available files.</p>
Data from: Hybrid incompatibility between D. virilis and D. lumei is stronger in the presence of transposable elements
<p>Mismatches between parental genomes in selfish elements are frequently hypothesized to underlie hybrid dysfunction and drive speciation. However, because the genetic basis of most hybrid incompatibilities is unknown, testing the contribution of selfish elements to reproductive isolation is difficult. Here we evaluated the role of transposable elements (TEs) in hybrid incompatibilities between Drosophila virilis and D. lummei by experimentally comparing hybrid incompatibility in a cross where active TEs are present in D. virilis (TE+) and absent in D. lummei, to a cross where these TEs are absent from both D. virilis (TE-) and D. lummei genotypes. Using genomic data, we confirmed copy number differences in TEs between the D. virilis (TE+) strain and the D. virilis (TE-) strain and D. lummei. We observed F1 postzygotic reproductive isolation exclusively in the interspecific cross involving TE+ D. virilis but not in the cross involving TE- D. virilis. This precisely mirrors the intraspecies dysgenic phenotype where teste atrophy only occurs when TE+ D. virilis is the paternal parent. A series of backcross experiments, designed to account for alternative models of hybrid incompatibility, showed that both F1 hybrid incompatibility and intrastrain dysgenesis is consistent with the action of TEs rather than other, genic, interactions. A further Y-autosome interaction contributes to additional, sex-specific, inviability in one direction of this cross combination. These experiments demonstrate that TEs that cause intraspecies dysgenesis can increase reproductive isolation between closely related lineages, thereby adding to the processes that consolidate speciation.</p>
Data Set : Seismic Wave Propagation Simulations in Indo Gangetic Basin using Spectral Element Method
<p>Indo Gangetic (IG) basin is one of the largest alluvial basins in the world. The surrounding Himalayan topography and the geometry of the basin make the IG basin unique. The analysis of seismic response of the basin is important as the region is seismically active with more than 40% of Indian population residing in it. This online database consists of the input files for performing the spectral finite element simulation for IG basin by incorporating the 3D variation of material properties and basin geometry. The input files consists of mesher, solver and CMTSOLUTION files for SPECFEM3D Cartesian (Version-3) simulation.</p>
[Demo Input Data] for SCAFE: a software suite for analysis of transcribed cis-regulatory elements in single cells
<p>This archive (input.tar.gz) contains the demo data for SCAFE v1.0.0 (on <a href="https://doi.org/10.5281/zenodo.7023163">Zenodo</a> or <a href="https://github.com/chung-lab/SCAFE/releases/tag/v1.0.0">Github</a>)</p> <p><em>SCAFE</em> (Single Cell Analysis of Five-prime Ends) provides an end-to-end solution for processing of single cell 5’end RNA-seq data. It takes a read alignment file (*.bam) from single-cell RNA-5’end-sequencing (e.g. 10xGenomics Chromimum®), precisely maps the cDNA 5'ends (i.e. transcription start sites, TSS), filters for the artefacts and identifies genuine TSS clusters using logistic regression. Based on the TSS clusters, it defines transcribed cis-regulatory elements (tCRE) and annotated them to gene models. It then counts the UMI in tCRE in single cells and returns a tCRE UMI/cellbarcode matrix ready for downstream analyses, e.g. cell-type clustering, linking promoters to enhancers by co-activity <em>etc</em>.</p> <p>For details on installation, usage and test run on demo data, visit <a href="https://github.com/chung-lab/SCAFE">https://github.com/chung-lab/SCAFE</a></p>
patteRNA: transcriptome-wide search for functional RNA elements via structural data signatures, Datasets.
<p>Datasets, code and results supporting the manuscript:</p> <p>Ledda M. & Aviran S., patteRNA: transcriptome-wide search for functional RNA elements via structural data signatures</p>
Fig. 3 in Quantitative Biogeographic Characterization Of Hungary Based On The Distribution Data Of Land Snails (Mollusca,Gastropoda): A Case Of Nestedness Of Species Ranges With Extensive Overlap Of Biotic Elements
Fig. 3. Distribution maps of four biotic elements found by PRABCLUS: (a) highland species, (b) general species, (c) localizes species distributed in the northern and (d) south–eastern parts of Hungary. The different shadings indicate the areas where>70%,>30%, and>0% of the species of an ele-
Fig. 1 in Quantitative Biogeographic Characterization Of Hungary Based On The Distribution Data Of Land Snails (Mollusca,Gastropoda): A Case Of Nestedness Of Species Ranges With Extensive Overlap Of Biotic Elements
Fig. 1. Biogeographic classification of Hungary based on distribution data of land snails according to the (a) hierarchical clustering of the (b) spatial units (ca. 50 km × 50 km). For clustering, the Sørensen–index and Ward–Orlóci fusion method was used. Shades of grey indicate main partitions of the cluster hierarchy, circled numbers 1–6 indicate lower level partitions mentioned in the text, numbers 1–49 identify spatial units (a) in the cluster foot and (b) in the map. Capital letters correspond to IndVal species groups listed in the text and in Appendix, lines associated to letters refer to
Fig. 2 in Quantitative Biogeographic Characterization Of Hungary Based On The Distribution Data Of Land Snails (Mollusca,Gastropoda): A Case Of Nestedness Of Species Ranges With Extensive Overlap Of Biotic Elements
Fig. 2. First two dimensions of the metric multidimensional scaling of the range data of the Hungarian land snail species. 1–4: biotic elements found by PRABCLUS; N: noise component.
A compilation of beryllium-isotope, element, and grainsize data from sediments sampled from Prydz Bay and beneath Amery Ice Shelf, East Antarctica
<p>All tables are included in a single .xlsx file across three sheets. Each sheet includes sample information data: expedition and sample location information, reference to corresponding method section in text, and a reference to the source of the method employed for different procedures, or the reference to source data. Footnotes are used where necessary to explain a component of a table.</p> <p><strong>Supplementary Table 1:</strong> All beryllium data used for Sequential, Grainsize, Partial, and Total experiments described in text. 10Be concentration and corresponding 1-sigma (10^8 at/g), 9Be concentration and corresponding 1-sigma (10^15 at/g), and the 10Be/9Be ratio and corresponding 1-sigma (10^-8 at/at).</p> <p><strong>Supplementary Table 2: </strong>Element concentrations (µg/g) from samples across open marine and sub-ice shelf environments and their resultant enrichment factors (EF). Enrichment factors calculated using in text Equation 1. Estimated crustal abundance and ratio displayed below the data table.</p> <p><strong>Supplementary Table 3: </strong> Grainsize of samples used in this study. </p> <p> </p> <p>This research was supported by the Australian Research Council Special Research Initiative, Australian Centre for Excellence in Antarctic Science (Project Number SR200100008).</p>
Common Data Elements for Disorders of Consciousness - Version 1.1
<p>In 2020, the Neurocritical Care Society’s <em>Curing Coma Campaign</em> launched an international initiative to create common data elements (CDEs) for disorders of consciousness (DoC). This CDE initiative is motivated by the recognition that ongoing progress in our field depends on the development of harmonized and uniform data elements. We formed multidisciplinary Work Groups with expertise in 1) Behavioral Phenotyping; 2) Hospital Course/Confounders/Medications; 3) Neuroimaging; 4) Electrophysiology; 5) Biospecimens; 6) Physiologic Data/Big Data; 7) Therapeutic Interventions; 8) Outcomes/Endpoints; and 9) Goals of Care/Family Data. Here, we disseminate the initial recommendations of this CDE development process and version 1.0 of the case report forms (CRFs) with CDEs that can be used in DoC studies. We aim for these CDEs to support progress in the field of DoC research and to facilitate multi-institutional collaboration. </p> <p>We welcome feedback and are committed to revising the CDEs and CRFs to ensure that they reflect developments in our field. To provide feedback about the current CDEs and CRFs, and to make recommendations about updates for future versions, please email <a href="mailto:cde.curingcoma@gmail.com">cde.curingcoma@gmail.com</a>.</p>
Data for the publication "Rare Earth Elements in oyster shells: provenance discrimination and potential vital effects"
<p>Rare Earth Elements (REE) and yttrium measurements from modern and archaeological oyster shells collected by LA-ICP-MS. This dataset is used in the publication 'Rare Earth Elements in oyster shells: provenance discrimination and potential vital effects'.</p>
Generation of transcriptional novelty by transposable element insertions in Arabidopsis, RNAseq Control Condition Sequencing Data
<p><strong>Arabidopsis stranded 150 bp paired end RNA sequencing data (Illumina) of plants that were grown under control conditions for the manuscript "Generation of transcriptional novelty by transposable element insertions in Arabidopsis"</strong></p> <p><strong><strong>Plant growth conditions</strong></strong></p> <p>Sequenced F4 seeds were sterilized for 10 minutes in 10% bleach, rinsed, and stratified at 4°C for four days in the dark before being sown on 0.5x Murashige & Skoog media (Du<em>schefa cat# M0222</em>) and transferred to growth chambers under long day conditions (16h of light at 24°C followed by 8h of darkness at 21°C; 20 seeds per plate, 6 replicate plates). Ten days after sowing, plants were subjected to 6°C for 24 hours and control plants were returned to normal long day growing conditions for 24 hours before harvesting (3 replicate plates per condition).</p> <p><strong><strong>RNA extraction and sequencing</strong></strong></p> <p>Seedlings were harvested and RNA extractions were done on pools of 5 plants. RNA extractions were performed for 3 biological replicate samples for each line in each condition (n=96) using the Macherey-Nagel NucleoSpin RNA kit (cat# 740955.50). Samples were sent to Novogene for Illumina 150bp paired-end sequencing using a stranded poly-A library.</p> <p><strong>RNAseq sample descriptions of the plants grown under control conditions</strong></p> <p>wt_control: wild-type plants.</p> <p>wtHS_control: wild-type plants that have been submitted to heat stress in a previous generation.</p> <p>wtAZ_control: wild-type plants that have been submitted to epigenetic drug treatments (alpha-amanitin and zebularine) in a previous generation.</p> <p>htLine#: plants carrying additional <em>ONSEN</em> transposable element insertions.</p> <p>Files description: Forward and reverse strand RNA seq data are combined in one file. The numbering at the end ("_1") denominates the biological replicate number.</p>
Text-fig. 4. Ratio diagrams of total length of p3–m3. Parasorex depereti from BRS 25 (data from Fanfani 1999), Parasorex depereti (data from Crochet 1986), Parasorex ibericus, type locality Otura-1, Spain (Mein and Martín-Suárez 1993), Parasorex pristinus (Ziegler 2003), Apulogalerix pusillus, Gargano (fissure filling F32), Italy (Masini and Fanfani 2013). On the horizontal axis are reported the element of the series, in ordinates the ratio of the average lengths on the standard Parasorex socialis from La Grive, France (data from Masini and Fanfani 2013). in New Light On Parasorex Depereti (Erinaceomorpha: Erinaceidae: Galericini) From The Late Messinian (Mn 13) Of The Monticino Quarry (Brisighella, Faenza, Italy)
Text-fig. 4. Ratio diagrams of total length of p3–m3. Parasorex depereti from BRS 25 (data from Fanfani 1999), Parasorex depereti (data from Crochet 1986), Parasorex ibericus, type locality Otura-1, Spain (Mein and Martín-Suárez 1993), Parasorex pristinus (Ziegler 2003), Apulogalerix pusillus, Gargano (fissure filling F32), Italy (Masini and Fanfani 2013). On the horizontal axis are reported the element of the series, in ordinates the ratio of the average lengths on the standard Parasorex socialis from La Grive, France (data from Masini and Fanfani 2013).
Citation Location, Elements and Purpose of ICPSR Research Data Citations
<p>The dataset contains an analysis of a randomly chosen sample of 1,073 publications that cite ICPSR research datasets. The collected research data (re)use indications were analyzed according to their location in the full-text, their metadata elements, and their citation purpose.</p> <p>The data was collected and analyzed in 2020 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Data for: Intra- and interspecific variation in trace element concentrations in feathers of North European Trans-African migrants
<p>The knowledge of migratory connectivity is important for understanding the potential drivers of populations and it is thus important for conservation implications. Migratory connectivity of species can be studied using exogenous, such as rings and transmitters, or endogenous markers, such as stable isotopes and trace elements. The use of trace elements has been much less frequently studied compared to stable isotopes. Trace elements can be studied from the feathers of birds and this does not necessarily require trapping of individuals. Here we studied the variation of 18 different trace elements in feathers of two long-distance trans-African migrants, willow warblers Phylloscopus trochilus and barn swallows Hirundo rustica, using body feathers of museum specimens of birds from Finnish breeding grounds. The trace elements were measured using Laser-Ablation Inductively-Coupled-Plasma Mass-Spectrometry. We show that trace element concentrations were relatively stable along the rachis within the same feather except in Ni and S, which showed a quadratic pattern. In general, variation within feathers of the same individuals was smaller than in feathers between individuals for most elements. Furthermore, concentrations of 11 trace elements showed significantly higher concentrations in willow warbler feathers collected in spring than in autumn, moulted in African wintering grounds and European breeding grounds, respectively. Last, concentrations of seven trace elements were significantly higher in the spring feathers of willow warblers compared to barn swallows. This suggests that trace elements could be used to separate moulting grounds of the birds on the larger scale within the same species, but also sampling design should be carefully considered.</p>
Short communication: Synchrotron-based elemental mapping of single grains to investigate variable infrared-radiofluorescence emissions [Data set]
<p>This dataset accompanies a research paper in the journal Geochronology (<span><a href="https://doi.org/10.5194/gchron-6-77-2024"><span>https://doi.org/10.5194/gchron-6-77-2024</span></a></span>). It contains the raw output of micro-XRF measurements carried out at the 5-ID SRX beamline at the National Synchrotron Light Source II (NSLS-II) at Brookhaven National Laboratory, USA, on coarse K-feldspar grains. Additionally, the XRF intensity attributed to each element after spectral fitting is provided for elemental mapping. The dataset also includes the output from scanning electron microscope energy-dispersive X-ray spectroscopy (SEM-EDS) measurements on coarse K-feldspar grains of two samples taken at Archéosciences Bordeaux, France.</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.