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Fig. 3. Network modules for suberin-associated metabolism genes. Expression profiles for 317 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 3. Network modules for suberin-associated metabolism genes. Expression profiles for 317 wound-induced and suberin-associated genes encompassing primary carbohydrate metabolism and the formation of suberin phenolic and aliphatic monomers were subjected to WGCNA. Genes belonging to carbohydrate (C), tricarboxylic acid cycle (TCA), shikimate pathway (S), phenolic metabolism (P), phenolic assembly (PA), fatty acid biosynthesis (FAB), fatty acid modification (FAM) and aliphatic assembly (AA) are colour-coded (see legend). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Nocturnal floral scent profiles of Myrtaceae fruit crops
Fig. 1. Total absolute amount of scent (ng of scent per hour and per flower) trapped from the studied species of Myrtaceae. Different letters indicate significant differences among species (Kruskall-Wallis ANOVA followed by post hoc tests). * Data of C. phaea are from Cordeiro et al. (2017).
Fig. 4 in Nocturnal floral scent profiles of Myrtaceae fruit crops
Fig. 4. Non-metric multidimensional scaling (NMDS) used to display semiquantitative differences in scent profiles among scent samples collected from the ten studied species of Myrtaceae.
PCM assisted heat pipe cooling system for the thermal management of an LTO cell for high-current profiles
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Phytohormone profiling in an evolutionary framework
<p>This repository contains raw LC/MS-acquired data for the study 'Phytohormone profiling in an evolutionary framework'.</p> <p>For sample codes see an attached excel file ('_LCMS-sample-codes.xlsx') at the end of the list.</p> <p>Phytohormone analysis was performed with a LC/MS system consisting of UHPLC 1290 Infinity II (Agilent, Santa Clara, CA, USA) coupled to 6495 Triple Quadrupole Mass Spectrometer (Agilent, Santa Clara, CA, USA), operating in MRM mode, with quantification by the isotope dilution method. Data acquisition and processing was performed with Mass Hunter software B.08 (Agilent, Santa Clara, CA, USA).</p>
Model Development for State-of-Power Estimation of Large-Capacity Nickel-Manganese-Cobalt Oxide-Based Lithium-Ion Cell Validated Using a Real-Life Profile
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Application of JumpCount on free energy profiles (preliminary data)
<p>JumpCount method applied on free energy profiles from [1].</p> <p>Ref:<br>1 - Science 2011, 334, 517-520.</p> <p> </p>
Supplementary Data for Manuscript 'Observing impacts on luminescence depth profile evolutions from surface altered quartzite using OSL laser scanning and controlled light exposed rock sampling techniques'
<p>This file contains the supplementary data for the manuscript 'Observing impacts on luminescence depth profile evolutions from surface altered quartzite using OSL laser scanning and controlled light exposed rock sampling techniques'</p>
Artifact for A Survey on Techniques to Profile the Energy Consumption of Android Applications
<p>To ensure availability and reproducibility, we have made all study artifacts publicly available for "<strong>A Survey on Techniques to Profile the Energy Consumption of Android Applications</strong>", a paper submitted to <strong><em>ACM Computing Surveys</em></strong>. In this study, we review state-of-the-art software-based energy profilers tailored for Android applications and propose a novel taxonomy for comparative analysis. We provide a brief overview of these energy profilers and compare their features. Based on the conducted literature review, we present conceptual architectures of the different types of software-based energy profilers to help build a tool that addresses the existing limitations in energy profiling.</p> <p>This repository contains the following files:</p> <ul> <li>Coding list generated from the Nvivo project (Files compared by number of codes). This file contains the codes used in taxonomy and the number of code references.</li> <li>Coding hierarchy generated from the Nvivo project (Codes compared by number of coding references). This file shows the hierarchy of codes and their share visually.</li> <li>List of selected papers (generated from the Nvivo project). This file presents the list of selected papers and metadata about these papers including publishing year, publisher, type of publication, etc.</li> <li>Search queries (SearchQueries). This file contains the search queries that are used to obtain the publications for review.</li> <li>Summary of the papers generated from the Nvivo project (Summary). This file contains the summary of the papers.</li> </ul>
Heat demand profiles from the When2Heat project repository
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Figure 5 in Identification of early biomarkers in proteomic profiles of the phaeophyteSaccharina japonicaproximal to and beneath the front of bryozoan colonies
Figure 5: A close-up view of two-dimensional gels showing the proteins (arrows) that were down-regulated by bryozoan colonization. (A) Distal healthy Saccharina japonica tissue. (B) S. japonica thallus tissue proximal to the bryozoan colony. (C) S. japonica tissue at the bryozoan colony front.
Figure 4 in Identification of early biomarkers in proteomic profiles of the phaeophyteSaccharina japonicaproximal to and beneath the front of bryozoan colonies
Figure 4: A close-up view of two-dimensional gels showing the proteins (arrows) that were up-regulated by bryozoan colonization. (A) Distal healthy Saccharina japonica tissue. (B) S. japonica thallus tissue proximal to the bryozoan colony. (C) S. japonica tissue at the bryozoan colony front.
Figure 3 in Identification of early biomarkers in proteomic profiles of the phaeophyteSaccharina japonicaproximal to and beneath the front of bryozoan colonies
Figure 3: A close-up view of two-dimensional gels showing the proteins (arrows) up-regulated mostly in the thallus tissue proximal to the bryozoan colony and at the colony front, but present at only very low levels in distal healthy tissues. (A) Distal healthy Saccharina japonica tissue. (B) S. japonica thallus tissue proximal to the bryozoan colony. (C) S. japonica tissue at the bryozoan colony front.
Figure 1 in Identification of early biomarkers in proteomic profiles of the phaeophyteSaccharina japonicaproximal to and beneath the front of bryozoan colonies
Figure 1: The Saccharina japonica thallus sections defined as colony-front and thallus tissue proximal to Membranipora membranacea colonies. Colony-front tissues were collected from the narrow zone under the newly formed front of the colony after removing the bryozoans. Thallus tissue proximal to the bryozoan colony was obtained from the 1-cm zone outside the boundary of the colony.
Figure 2 in Identification of early biomarkers in proteomic profiles of the phaeophyteSaccharina japonicaproximal to and beneath the front of bryozoan colonies
Figure 2: Two-dimensional gel electrophoresis profiles of the late-harvested Saccharina japonica. (A) Distal healthy S. japonica tissue. (B) S. japonica thallus tissue proximal to the bryozoan colony. (C) S. japonica tissue at the bryozoan colony front. The separated proteins were visualized by silver staining. Numbers attached to the arrows refer to the spot number listed in Tables 1 and 2.
Proteomic and phosphoproteomic profiling of AML
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Phenotypically active ORF and CRISPR consensus profiles
This hosts the files on phenotypically active genes for JUMP, derived from https://zenodo.org/records/14025602 after filtering samples with no matches above a given threshold (see filenames for thresholds).
Bottle-calibrated dissolved oxygen profiles from yearly turn-around cruises for the Ocean Observations Initiative (OOI) Irminger Sea Array 2014-2022
<p>This dataset contains bottle-calibrated dissolved oxygen (DO) profiles collected from Conductivity Temperature Depth (CTD) casts on turn-around cruises performed yearly to maintain the Ocean Observations Initiative (OOI) Global Irminger Sea Array (60.46°N, 38.44°W). DO profiles were used in conjunction with oxygen bottle measurements (Winklers) to produce a post-cruise oxygen-calibrated CTD product for scientific use. Bottle-calibrated CTD salinity products were used to produce post-cruise oxygen-calibrated CTD profiles starting in 2018 (Year 5). This document contains overviews of CTD data collection and processing and post-processing oxygen sensor calibration method. Reports for each cruise include a summary of relevant cruise events, oxygen sensor calibration results, and issues/problems associated with oxygen data collected on each cruise. This dataset has been created for end-users that require field-calibrated oxygen data products that are currently not provided by OOI through its standard data dissemination.</p>
Electron number density, temperature, gas mass and hydrostatic mass profiles for 22 eROSITA clusters
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Genomic profiling of NSCLC tumors with the TruSight Oncology 500 assay provides broad coverage of clinically actionable genomic alterations and detection of known and novel associations between genomic alterations, TMB, and PD-L1
<p>Wallen ZD, Ko H, Nesline MK, Tierno M, Roos A, Schnettler E, Husain H, Sathyan P, Caveney B, Eisenberg M, Severson EA, Ramkissoon SH. <strong>Genomic profiling of NSCLC tumors with the TruSight Oncology 500 assay provides broad coverage of clinically actionable genomic alterations and detection of known and novel associations between genomic.</strong> <em>Front Oncol.</em> 2024 Nov 5;14:1473327. doi: <a href="https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2024.1473327">10.3389/fonc.2024.1473327</a>.</p> <p><strong>ABSTRACT</strong></p> <p><strong>Introduction: </strong>Matching patients to an effective targeted therapy or immunotherapy is a challenge for <br>advanced and metastatic non-small cell lung cancer (NSCLC), especially when relying on assays that test one <br>marker at a time. Unlike traditional single marker tests, comprehensive genomic profiling (CGP) can <br>simultaneously assess NSCLC tumors for hundreds of genomic biomarkers and markers for immunotherapy <br>response, leading to quicker and more precise matches to therapeutics. <strong>Methods: </strong>In this study, we performed <br>CGP on 7,606 patients with advanced or metastatic NSCLC using the Illumina TruSight Oncology 500 (TSO <br>500) CGP assay to show its coverage and utility in detecting known and novel features of NSCLC. <strong>Results: </strong><br>Testing revealed distinct genomic profiles of lung adenocarcinoma and squamous cell carcinomas and <br>detected variants with a current targeted therapy or clinical trial in >72% of patient tumors. Known associations <br>between genomic alterations and immunotherapy markers were observed including significantly lower TMB <br>levels in tumors with therapy-associated alterations and significantly higher PD-L1 levels in tumors with ALK, <br>MET, BRAF, or ROS1 driver mutations. Co-occurrence analysis followed by network analysis with gene <br>module detection revealed known and novel co-occurrences between genomic alterations. Further, certain <br>modules of genes with co-occurring genomic alterations had dose-dependent relationships with histology and <br>increasing or decreasing levels of PD-L1 and TMB, suggesting a complex relationship between PD-L1, TMB, <br>and genomic alterations in these gene modules. <strong>Discussion:</strong> This study is the largest clinical study to date <br>utilizing the TSO 500. It provides an opportunity to further characterize the landscape of NSCLC using this <br>newer technology and show its clinical utility in detecting known and novel facets of NSCLC to inform treatment <br>decision-making.</p> <p><strong>DATA AVAILABILITY</strong></p> <p>The data and code presented in the study are deposited in this Zenodo repository, accession number <br>13137232 (<a href="https://zenodo.org/record/13137232">https://zenodo.org/record/13137232</a>). Raw sequencing data were derived from routine clinical testing of real-world patients and cannot be shared publicly. Further data inquiries can be directed to the corresponding <br>author. </p>
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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.