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8,565 results for “characterization”
Seismic and Hydrostratigraphic Characterization of the Onshore-Offshore Freshwater Systems of Martha's Vineyard and Nantucket, Massachusetts, USA: Field Survey Report
<p>This data archive includes three files: field project report, seisimic data (shot gathers) from Martha's Vineyard, and seismic data (shot gathers) from Nantucket. This work was supported by the National Science Foundation (NSF Award 2052794). Technical support was provided by Geophysical Technology, Inc. (<a href="https://geophysicaltechnology.com/">https://geophysicaltechnology.com/</a>), Exploration Instruments (<a href="https://www.exiusa.com/">https://www.exiusa.com/</a>) , and Seismic Source (<a href="https://seismicsource.com/">https://seismicsource.com/</a>). Field work in Manuel F. Correllus State Forest was conducted with the approval of the Massachusetts Department of Conservation and Recreation under Research Access Permit #R-209. Daniel Wright and Conor Laffey of the Massachusetts Department of Conservation and Recreation provided local logistical support on Martha’s Vineyard. Field work on Nantucket was conducted with the approval of Wannacommet Water Company. Mark Willett of Wannacommet water company provided local logistical support on Nantucket.</p>
TINKER_WP5_LP50-characterization-datasample_061022
<p>This is a sample characterization dataset of the LP50 printing experiments. The sample dataset represents microscope images of substrates after gap filling as well as microscope images of substrates after printing the DC layout. </p>
Supplementary data for "Structural, biochemical, and computational characterization of sulfonamides as bimetallic peptidase inhibitors"
<p>Supplementary data for "Structural, biochemical, and computational characterization of sulfonamides as bimetallic peptidase inhibitors"</p> <p>Coordinates, schemes, NCI density visualization in VMD, and PyMOL sessions for the Figures in the publication are provided.</p>
NFFA-Europe|Pilot proporsal "Production and characterization of highly controlled silicon oxide nanoparticles for solid polymer electrolytes" (PID: 444).
<p>XPS, IR, and QMS data of the nanoparticles synthesized within the NFFA-Europe|Pilot proporsal PID 444</p>
Dataset: T-DNA characterization of genetically modified 3-R-gene late blight resistant potato events with a novel procedure utilizing the Samplix Xdrop® Enrichment Technology
<p>Before commercialization of genetically modified crops, the events carrying the novel DNA must be thoroughly evaluated for agronomic, nutritional, and molecular characteristics. Over the years, Polymerase Chain Reaction-based methods, Southern blot, and short-read sequencing techniques have been utilized for collecting molecular characterization data. Multiple genomic applications are necessary to determine the insert location, flanking sequence analysis, characterization of the inserted DNA, and determination of any interruption of native genes. These techniques are time-consuming and labor-intensive, making it difficult to characterize multiple events. Current advances in sequencing technologies are enabling whole genomic sequencing of modified crops to obtain full molecular characterization. However, in polyploids, such as the tetraploid potato, it is a challenge to obtain whole genomic sequencing coverage that meets regulatory approval of the genetic modification. Here we describe an alternative to labor-intensive applications with a novel procedure using Samplix Xdrop® enrichment technology and next-generation Nanopore sequencing technology to more efficiently characterize the T-DNA insertions of four genetically modified potato events developed by the Feed the Future Global Biotech Potato Partnership: DIA_MSU_UB015, DIA_MSU_UB255, GRA_MSU_UG234 and GRA_MSU_UG265 (derived from regionally important varieties Diamant and Granola). Using the Xdrop® /Nanopore technique, we obtained a very high sequence read coverage within the T-DNA and junction regions. In three of the four events, we were able to use the data to confirm single T-DNA insertions, identify insert locations, identify flanking sequences, and characterize the inserted T-DNA. We further used the characterization data to identify native gene interruption and confirm the stability of the T-DNA across clonal cycles. These results demonstrate the functionality of using the Xdrop® /Nanopore technique for T-DNA characterization. This research will contribute to meeting regulatory safety and regulatory approval requirements for commercialization with small shareholder farmers in target countries within our partnership.</p>
Latency and energy characterization of 5G LDPC FEC Decoding on CPU and GPU
<p>CloudRIC is a system that meets specific reliability targets in 5G FEC processing while sharing pools of heterogeneous processors among DUs, which leads to more cost- and energy-efficient vRANs. The details of the solution are presented in <a title="CloudRIC: Open Radio Access Network (O-RAN) Virtualization with Shared Heterogeneous Computing" href="https://doi.org/10.1145/3636534.3649381">CloudRIC: Open Radio Access Network (O-RAN) Virtualization with Shared Heterogeneous Computing</a>. These repository provides a dataset, analyzed therein, with experiments carried out with different 5G LDPC decoding processors: (i) Intel FlexRAN library and two open-source alternative libraries on an Intel Xeon Gold 6240R CPU, and (ii) a proprietary driver on an NVIDIA GPU V100.</p> <p>See README file for a description of the dataset.</p>
Characterization of the tumor-immune microenvironment in hepatocellular carcinoma by highly multiplexed imaging mass cytometry
<p>Imaging mass cytometry data of 54 HCC patients. </p> <ul> <li>DC_img_normalized: Preprocessed and normalized multistack .tiff images. Each stack represents one channel. Channel annotations are stored in the ICICohort_panel.csv file. ROIs are located in the tumor, interface and adjacent liver as indicated in the file name.</li> <li>DC_cellmasks: Masks identifying individual cells on the images.</li> <li>DC_stromamasks: Masks identifying stromal and parenchymal regions on the image.</li> <li>DCCohort_panel.csv: table containing channel information (metal tag and marker).</li> </ul> <p>Patient metadata may be found as supplementary table 2 of DOI <a href="https://doi.org/10.1136/gutjnl-2024-332837" target="_blank" rel="noopener noreferrer"> 10.1136/gutjnl-2024-332837 </a>.</p>
Mini-RF S-band Radar Characterization of a Lunar South Pole-Crossing Tycho Ray: Implications for Sampling Strategies
<p>Data behind the figures for the publication in the Planetary Science Journal. Data is in .mat format, which is a Matlab save file which can also be read by open languages such as Python. The accompanying code, in .m format, is a Matlab code that will recreate the figures. The .m code can be read by any text editor application. All figures are also provided as pngs. Figures 7 and 8 are provided as GeoTiffs, where the first channel is S1, second channel S2, third channel S3, and the fourth channel S4 (i.e., the four Stokes parameters).<br>Figures.zip is a zip file with all of the figures in png format.<br>FiguresData.zip includes two files: MakeFigures.m, which is the matlab code that will recreate the figures, and RiveraValentinETAL_2024_PSJ_AccompanyingData.mat, which is that matlab data needed to recreate the figures. The .m file contains a header describing each variable in the .mat file. <br>GeoTiffs.zip contains two files, newton_stokes.tiff and haworth_stokes.tiff. These are GeoTiffs of Figures 7 and 8, respectively. </p>
Data for "Laundry to Laboratory: Automated Image Analysis for the Characterization of Fibrous Microplastics"
<p>This repository contains a representative subset of filter paper images used to evaluate the various experimental conditions in the manuscript "Laundry to Laboratory: Automated Image Analysis for the Characterization of Fibrous Microplastics." </p>
Figure 3 in Isolation and characterization of 3D chitin from a mite species Trachytes pauperior (Parasitiformes: Uropodina)
Figure 3. Purified chitin of T. pauperior of light microscopy modus (0-60X).
Figure 1 in Isolation and characterization of 3D chitin from a mite species Trachytes pauperior (Parasitiformes: Uropodina)
Figure 1. FTIR spectrum of the 3D chitin isolate from T. pauperior.
Figure 2 in Isolation and characterization of 3D chitin from a mite species Trachytes pauperior (Parasitiformes: Uropodina)
Figure 2. SEM images of chitin isolates from T. pauperior in 3D.
HIDRA simulations and post-processing scripts for JGR: SP manuscript: characterization of N+ abundances in the terrestrial polar wind using the multiscale atmosphere-geospace environment
<div> <div> <div> <p>The High-latitude Ionosphere Dynamics for Research Applications (HIDRA) model is part of the Multiscale Atmosphere-Geospace Environment (MAGE) model under development by the Center for Geospace Storms (CGS) NASA DRIVE Science Center. This study employs HIDRA to simulate upflows of H+, He+, O+, and N+ ions, with a particular focus on the relative N+ concentrations, production and loss mechanisms, and thermal upflow drivers as functions of season, solar activity, and magnetospheric convection. The simulation results demonstrate that N+ densities typically exceed He+ densities, N+ densities are typically ∼ 10% O+ densities, and N+ concentrations at quiet-time are approximately 50-100% of N+ concentrations during storm-time. Furthermore, the N+ and O+ upflow fluxes show similar trends with variations in magnetospheric driving. The inclusion of ion-neutral chemical reactions involving metastable atoms is shown to have significant effects on N+ production rates. With this metastable chemistry included, the simulated ion density profiles compare favorably with satellite measurements from Atmosphere Explorer C (AE-C) and Orbiting Geophysical Observatory 6 (OGO-6).</p> </div> </div> </div>
Figure 2 in Morphology, morpho-taxometric and molecular characterization of the invasive alien species Caribbean leatherleaf slug Sarasinula plebeia (Gastropoda: Veronicellidae): a first record in southern Philippines
Figure 2. Sarasinula plebeia isolate LDZS morphological characters as indicated by arrows of the ventral region (A); hyponotum (red), narrow foot running from anterior to posterior end (orange); dorsal region (B) showing the notum (green), perinotum (yellow), and a pair of ocular tentacles (blue).
Figure 1 in Morphology, morpho-taxometric and molecular characterization of the invasive alien species Caribbean leatherleaf slug Sarasinula plebeia (Gastropoda: Veronicellidae): a first record in southern Philippines
Figure 1. Map showing the sampling site (blue dot) in the selected area for terrestrial slug in La Dicha, Malangas, Zamboanga, Sibugay, southern Philippines.
Figure 3 in Morphology, morpho-taxometric and molecular characterization of the invasive alien species Caribbean leatherleaf slug Sarasinula plebeia (Gastropoda: Veronicellidae): a first record in southern Philippines
Figure 3. Phylogenetic relationship of Sarasinula plebeia isolate LDZS (bold) and related sequences inferred by the COI sequences through Bayesian analysis using GTR+I+G model showed a strong relation with posterior probability value of 1. Position of S. plebeia (JQ582279, JQ582278, JQ582277) also showed strong relation with L. alte (PP value of 1). Scale bar represents the estimated substitution per site.
The raw data from FP and SPR assays for characterizing DCAF12 interactions with CCT5 and MAGEA3 peptides
<p>The source data underlying Figs 1A-E and Figs 2D-E for the DCAF12 manuscript (Title: Probing CRL4DCAF12 interactions with MAGEA3 and CCT5 di-Glu C-terminal degrons)</p>
A multiomic characterization of the leukemia cell line REH using short- and long-read sequencing
<p>This is a public repository containing secondary datasets described in the publication <a href="https://doi.org/10.26508/lsa.202302481">"A multiomic characterization of the leukemia cell line REH using short- and long-read sequencing"</a>. Primary data for this project are available at NCBI/SRA under the BioProject accession numbers PRJNA600820 and PRJNA834955, and include the following sequencing datasets:</p> <p>REH cell line:</p> <ul> <li>PacBio WGS</li> <li>ONT Ultralong WGS</li> <li>Illumina short-read PCR-free WGS</li> <li>IsoSeq RNA-seq</li> <li>Illumina short-read RNA-seq</li> </ul> <p>GM12878 cell line:</p> <ul> <li>Illumina short-read RNA-seq</li> </ul> <p>This dataset includes the following files:</p> <p><strong>Depth of Coverage analysis</strong></p> <ul> <li>Output from `samtools coverage`: <em>samtools.coverage.illumina.txt, samtools.coverage.ont.txt, samtools.coverage.pb.txt</em></li> <li>Output from `copycat` (binned coverage): <em>copycat.ont.coverage.10kb.csv, copycat.pb.coverage.10kb.csv, copycat.pcrfree.coverage.10kb.csv</em></li> </ul> <p><strong>Structural Variant (SV) callsets</strong></p> <ul> <li><strong>Raw:</strong> <em>illumina.tiddit.vcf, ont.sniffles.vcf, pb.sniffles.vcf</em></li> <li><strong>Filtered: </strong><em>REH.svs.filtered.csv</em></li> </ul> <p><strong>SNV callsets</strong></p> <ul> <li><strong>Filtered and annotated:</strong> <em>REH.mutect.filtered.ann.vcf.gz</em></li> </ul> <p><strong>Fusion gene callsets</strong></p> <ul> <li><strong>Short-read: </strong><em>GM12878.fusionreport.txt, illumina.all.txt, illumina.filtered.csv, REH.arriba.fusions.tsv, REH.fusioncatcher.fusion-genes.txt, REH.pizzly.txt, REH.squid.fusions.annotated.txt, REH.starfusion.abridged.tsv, REH.pdf</em></li> <li><strong>Long-read: </strong><em>cupcake.long.csv, cupcake.std.csv, jaffa_results.csv</em></li> <li><strong>Filtered: </strong><em>REH.fusions.filtered.csv</em><br> </li> </ul> <p> </p>
Results of the mechanical characterization by tensile tests and the in vitro cell-biomaterial interaction analyses by WST-1 and Live/Dead of 3D-printed scaffolds generated by PLA, PCL, FF, FD and GelMA
<p>Dataset containing the quantitative results of the mechanical characterization, and the in vitro cell-biomaterial interaction analyses with neural cells after 72 hours and 7 days of cell culture of the following 3D printed scaffolds:</p> <ul> <li>Polylactic acid (PLA)</li> <li>Polycaprolactone (PCL)</li> <li>Conductive Filaflex (FF)</li> <li>Flexdym (FD)</li> <li>GelMA (G)</li> </ul> <p>The Live/Dead results were quantified using ImageJ software to determine area fractions corresponding to live (green) and dead (red) cells.</p>
Discovery and characterization of non-canonical ubiquitin conjugating enzymes
<p>Ubiquitin conjugating enzymes (E2s) play a central role in the enzymatic cascade that leads to the attachment of ubiquitin to a substrate. This process, termed ubiquitylation is required to maintain cellular homeostasis and impacts almost all cellular process. By interacting with multiple E3 ligases, E2s dictate the ubiquitylation landscape within the cell. Since its discovery, ubiquitylation has been regarded as a post-translational modification (PTM) that specifically targets lysine side chains (canonical ubiquitylation). We used Matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) Mass Spectrometry (MS), to discover and characterize a family of E2s that are instead able to conjugate ubiquitin to serine and/or threonine. We employed structural modelling and prediction tools to identify the key activity determinants that these E2s use to interact with ubiquitin as well as their substrates. Our results identify the missing E2s required for non-canonical ubiquitylation, highlight the versatility of ubiquitin modifications and challenge the view of ubiquitylation as an exclusively lysine specific PTM.</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.