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30,947 results for “Profile”
scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution - Supplementary data and code
<p>Data and code to reproduce the analyses from the study: "scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution". </p>
Tandem splice acceptor sites: Profiling their relevance to human disease
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The Joint Undertaking for Morphological Profiling (JUMP) Consortium Datasets Index
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Benchmarking datasets used in the manuscript "Strain-level metagenomic profiling using pangenome graphs with PanTax"
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G4D-DOC: A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles
<p>Based on temperature and salinity observations from Argo floats, this dataset uses machine-learning methods to reconstruct global ocean dissolved oxygen (DO) concentrations.<br><strong>This version only provides monthly-scale netCDF format data for everyone's use. If you need other time scales, please check previous versions.</strong></p> <h2>Spatiotemporal Characteristics</h2> <ul> <li> <p><strong>Time range:</strong> 2005–2022, <strong>monthly</strong> fields.</p> </li> <li> <p><strong>Geographic range:</strong> Global oceans <strong>excluding the Arctic Ocean</strong>, from 90°S to 84°N and 180°W to 180°E.</p> </li> <li> <p><strong>Horizontal resolution:</strong> 1° × 1° (regular grid).</p> </li> <li> <p><strong>Vertical levels (26):</strong> 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1750, 1995dbar .</p> </li> </ul> <h2>Data Format & Conventions</h2> <ul> <li> <p><strong>Format:</strong> NetCDF4</p> </li> <li> <p><strong>Coordinate conventions:</strong></p> <ul> <li> <p><code>lat</code> (Y axis): 89.5 → −89.5 (descending)</p> </li> <li> <p><code>lon</code> (X axis): converted to <strong>−180 → 180</strong> (1° centers)</p> </li> <li> <p><code>depth</code>: ascending (matching the 26 target levels)</p> </li> </ul> </li> <li> <p><strong>Units:</strong> DO in <strong>μmol/kg</strong> (<code>umol kg-1</code>).</p> </li> </ul> <h2>Variables & Dimensions</h2> <ul> <li> <p><strong>Variables kept:</strong> <code>DO</code>, <code>depth</code>, <code>lat</code>, <code>lon</code> (with a single-valued <code>time</code> coordinate).</p> </li> <li> <p><strong>DO dimensions:</strong> <code>(time, depth, lat, lon)</code>.</p> </li> </ul> <h2>Filenames</h2> <ul> <li> <p><strong>Pattern:</strong> <code>G4D_DOC_YYYY_MM.nc</code><br><em>Example:</em> <code>G4D_DOC_2005_07.nc</code> contains the field for <strong>July 2005</strong>.</p> </li> </ul> <h2>Citation & Disclaimer</h2> <p>Please cite the dataset and relevant literature when using it in publications or products.<br>Recommended citation (example):</p> <blockquote> <p>Xue, C., & Wang, Z. (2025). <em>A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles</em> (Monthly NetCDF version). Zenodo. <a target="_new" rel="noopener">https://doi.org/</a>10.5281/zenodo.13920233</p> </blockquote> <p>The data producers are not responsible for any losses arising from data use. Map boundaries or masks do not imply official positions.</p> <h2>Contacts</h2> <ul> <li> <p><strong>Cunjin Xue</strong> — <a rel="noopener">xuecj@aircas.ac.cn</a></p> </li> <li> <p><strong>Zhenguo Wang</strong> — <a rel="noopener">zgwang24@m.fudan.edu.cn</a></p> </li> </ul>
Tri-modal single cell profiling reveals a distinct pediatric CD8αα T cell subset and broad age-related molecular reprogramming across the T cell compartment
<p>Age-associated changes in the T cell compartment are well-described. However, limitations of current single- or bi-modal single-cell assays, including flow cytometry, RNA-seq, and CITE-seq, have restricted our ability to deconvolve more complex cellular and molecular changes. Here, we profile more than 300,000 single T cells from healthy children (11–13 yrs) and older adults (55–65 yrs) using the trimodal assay, TEA-seq (protein, RNA, and chromatin accessibility), revealing that molecular programming of T cell subsets shifts toward a more activated basal state with age. Naive CD4 T cells, considered relatively resistant to aging, exhibited pronounced transcriptional and epigenetic reprogramming. Moreover, we discovered a novel CD8aa T cell subset lost with age that is epigenetically poised for rapid effector responses and displays distinct inhibitory, co-stimulatory and tissue homing properties. Together, these data reveal new insights into age-associated changes in the T cell compartment that may contribute to differential immune responses.</p>
The vertical profile of the dynamic TOI from double to single, TIEGCM
<p>The simulation from TIEGCM to explore the roles of IMF By and Bz on the dynamic evolution of TOI from double to single at 300 and 500 km.</p>
Electron concentration profiles calculated using eight-component model of the ionospheric D-region and two different set of input atmospheric data
<p>The files contain electron concentration <i>Ne</i> profiles during solar X-ray flares that occurred on 9-11 June 2014. The altitude range is 50-90 km.</p><p>Values of electron concentration were calculated using eight-component model of the ionospheric D-region and two different set of input atmospheric data (MSIS neutral atmosphere model and Aura satellite measurements). Results are obtained for ten VLF paths: from European transmitters ICV, TBB, GQD, GBZ, and DHO to Mikhnevo geophysical observatory (55°N 38°E) and A118 SID station (43°N 1°E).</p><p>The data is presented as MATLAB files. Each .mat file contains data and variable "description" with data's structure information.</p>
A Metadata Application Profile for KOS Vocabulary Registries
<p>This paper reports on the end-products of a Dublin Core Application Profile for KOS Resources (KOS-AP) developed by a DCMI Task Group, which builds on work done by the NKOS group during the last decade. Included are user scenarios, a FRBR-based domain model, the attributes of KOS <i>work, expression, </i>and <i>manifestation</i> and the associated metadata elements defined in the context of user tasks. With the testing of real KOS systems that involve multiple editions, languages, delivery formats, and derivations, (such as the Dewey Decimal Classification 22nd edition and of the ASIS Thesaurus 3rd edition), the authors identified some unique issues related to KOS descriptions, for example the designation of a '<i>work'</i> in theory and practice, and the shift of management level from the whole KOS expression to concept- and label-based electronic systems. This KOS-AP effort is becoming more meaningful with the fast development of Linked Data, the success of which depends heavily on the sharing of standardized value vocabularies. The theoretical exploration, the conceptual model, and the core elements to be used for describing and accessing KOS products can be implemented by KOS registries and used in microdata of KOS Websites, as well as be adopted for use by other types of specifications that share common characteristics of KOS, such as frequently updated, translated, and derived handbooks, technical manuals, and schemas. </p>
Hormone profiles of the African pygmy mouse Mus minutoides, a species with XY female sex reversal.
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Fig. 2 in Microhabitat Preference of Great Plains Giant Tiger Beetle Larvae,Amblycheila cylindriformisSay (Coleoptera: Carabidae: Cicindelinae), is Influenced by Soil Slope Profile
Fig. 2. Three third-stage larval burrows of the Great Plains giant tiger beetle, Wallace Co., Kansas.
Fig. 4 in Microhabitat Preference of Great Plains Giant Tiger Beetle Larvae,Amblycheila cylindriformisSay (Coleoptera: Carabidae: Cicindelinae), is Influenced by Soil Slope Profile
Fig. 4. Frequency distribution of Great Plains giant tiger beetle larval burrows (n = 132) among a range of degrees of slope across a soil profile inclination, Wallace Co., Kansas, 1987.
Fig. 3 in Microhabitat Preference of Great Plains Giant Tiger Beetle Larvae,Amblycheila cylindriformisSay (Coleoptera: Carabidae: Cicindelinae), is Influenced by Soil Slope Profile
Fig. 3. Habitat of the Great Plains giant tiger beetle in the western short grasslands, Wallace Co., Kansas, 2009. Height of the exposed soil profile in the foreground is approximately 3 m.
The effect of emission source chemical profiles on simulated PM2.5 components: sensitivity analysis with CMAQ 5.0.2
<p>All input and model configuration data necessary to reproduce the results as well as all output data discussed in the article</p>
Fig. 2 in Variation in the amino acids, volatile organic compounds and terpenes profiles in induced polyploids and in Solanum tuberosum varieties
Fig. 2. Biplot of Principal Component Analysis based on VOCs and Amino acids from leaves of Solanum allotetraploids (a), autotetraploids (b) and cultivated varieties (c). Components were calculated using Euclidean distances. Amino acids are depicted in the three-letter code. a) Allotetraploids (4xAL2 and 4xAL4) and diploid S. tuberosum x S. kurtzianum parental interspecific hybrid (2xPIH). b) Autotetraploids (4xAuL1, 4xAuL2 and 4xAuL3) and diploid S. kurtzianum parental line (2xPL). c) S. tuberosum cultivated varieties (4xCalen, 4xInnovator and 4xPampeana).
Fig. 3 in Variation in the amino acids, volatile organic compounds and terpenes profiles in induced polyploids and in Solanum tuberosum varieties
Fig. 3. Hierarchical cluster analysis (represented by a heat-map) of amino acids content in leaves of potato allo- and autotetraploids and cultivated varieties. Dendrograms were constructed by UPGMA clustering method for 18 amino acids and 10 lines: diploid S. kurtzianum parental line (2xPL), diploid S. tuberosum x S. kurtzianum parental interspecific hybrid (2xPIH), three autotetraploids (4xAuL1, 4xAuL2 and 4xAuL3), two allotetraploids (4xAL2 and 4xAL4) and three cultivated varieties (4xCalen, 4xInnovator and 4xPampeana).
Fig. 1 in Variation in the amino acids, volatile organic compounds and terpenes profiles in induced polyploids and in Solanum tuberosum varieties
Fig. 1. Fold change of compounds content in allotetraploids (a) and autotetraploids (b) relative to their respective diploid parental line. Fold change is expressed as log10(Tetraploid/Diploid). Horizontal lines are the average of the absolute logFC for each evaluated line, letters denote differences by Duncan's multiple range test (P <0.05).
Chemical profiling of milkweed and monarch butterfly wing extracts via mass spectrometry
<p>Herbivores that sequester toxins are thought to have cracked the code of plant defenses. Nonetheless, coevolutionary theory predicts that plants should evolve toxic variants that also negatively impact specialists. We propose and test the selective sequestration hypothesis, that specialists preferentially sequester compounds that are less toxic to themselves, while maintaining toxicity to enemies. Using chemically distinct plants, we show that monarch butterflies sequester only a subset of cardenolides from milkweed leaves that are less potent against their target enzyme (Na+/K+-ATPase) compared to several dominant cardenolides from leaves. However, sequestered compounds remain highly potent against sensitive Na+/K+-ATPases found in most predators. We confirmed this differential toxicity with mixtures of purified cardenolides from leaves and butterflies. The genetic basis of monarch adaptation to sequestered cardenolides was also confirmed with transgenic <em>Drosophila</em> that were CRISPR-edited with the monarch's Na+/K+-ATPase. Thus, the monarch's selective sequestration appears to reduce self-harm while maintaining protection from enemies.</p>
Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - solar rcp45cooler 2020-2059
<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>
Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - solar historical 1980-2022
<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</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.