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1,254 results for “PANs”
Catawba Earthenware Pan (2500p3690)
**Catawba earthenware pan** Location: New Town (RLA-SoC 632/635), Lancaster County, South Carolina. Period: Historic (1790-1820). Material: ceramic. Dimensions: height, 11.4 cm; diameter, 27.4 cm. Notes: Catalog no. 2500p3690. Recovered during excavations at the historic Catawba site of New Town. North Carolina Archaeological Collection, Research Laboratories of Archaeology, University of North Carolina at Chapel Hill. Model by Abigail Gancz. Source: Objaverse 1.0 / Sketchfab
Manuel Alberto, "Beto" , Graterón: El arte de ganarse el pan sin dejar de amar al arte
<p>Hace algunos años, Manuel Alberto Graterón, “Beto”, era una rara avis del mundo empresarial. ¿Cómo se puede estar pensando en la inmanencia del ser o la<br>caída del Imperio romano mientras se discuten unas inversiones financieras durante una sesión de ejecutivos? “Es un trabajo muy aburrido ese, unas<br>reuniones larguísimas, monótonas, no me gustaba eso”, confiesa este ingeniero venezolano, exconstructor de obras civiles, calculista estructural, apasionado de la<br>Historia, la Filosofía y la ciencia, y “escribidor de papeles esotéricos".</p>
Dataset for "Pan-cancer integrative analyses dissect the remodeling of endothelial cells in human cancers"
<p>This is the dataset for "Pan-cancer integrative analyses dissect the remodeling of endothelial cells in human cancers".</p> <p> </p> <p>File "NSR.panE.exprs.all.h5ad.gz" contains processed expression .h5ad data.</p> <p>File "NSR.panE.obs.meta.csv" contains the meta data for this study.</p> <p>File "umap.zip" contains the .csv files for umap coordinates.</p> <p> </p> <p> </p>
SI3 sea-ice hourly output for SI3-BBM and SI3-default Pan-Arctic simulations (Brodeau et al., 2024, final version)
<p>These netCDF files contain the simulated SI3 sea-ice hourly output for experiments SI3-BBM and SI3-EVP that are discussed in the following paper:</p> <p><em>Implementation of a brittle sea-ice rheology in an Eulerian, finite-difference, C-grid modeling framework: </em><br><em>Impact on the simulated deformation of sea-ice in the Arctic</em></p> <p>by Laurent Brodeau, Pierre Rampal, Einar Ólason and Véronique Dansereau, in Geoscientific Model Development (GMD), 2024.</p> <p> </p> <p>More specifically, they contain:</p> <ul> <li>hourly sea-ice velocity (u,v) vector (m/s)</li> <li>hourly sea-ice concentration</li> <li>hourly sea-ice volume per area (m)</li> <li>hourly sea-ice damage</li> <li> </li> </ul> <p>File <code>NANUK4_ICE-BBM2412_1h_19961201_19970420_icemod.nc4</code> contains data for experiment "SI3-BBM"</p> <p>File <code>NANUK4_ICE-EVP2403_1h_19961201_19970420_icemod.nc4</code> contains data for experiment "SI3-default"</p> <p>File <code>mesh_mask_NANUK4_L31_4.2_1stLev.nc</code> contains the metrics of the horizontal grid of the model (NEMO regional Arctic configuration named NANUK4).</p>
Fig. 10 in Morphology and relationships of the enigmatic stenothecoid pan-brachiopod Stenothecoides-new data from the middle Cambrian Burgess Shale Formation
Fig. 10. Shell outlines of species discussed herein.
Simulation dataset for "Computational pan-genome mapping and pairwise SNP-distance improve detection of Mycobacterium tuberculosis transmission clusters"
<p>Simulated Illumina reads for SNP distance method evaluation and comparison used in the article "Computational pan-genome mapping and pairwise SNP-distance improve detection of Mycobacterium tuberculosis transmission clusters".</p> <p>Details for simulation can be found at https://gitlab.com/rki_bioinformatics/panpasco/tree/master/simulation_dataset.</p>
Virulence and antibiotic resistance plasticity of Arcobacter butzleri: insights on the genomic diversity of an emerging human pathogen (genome assembly, annotation dataset, core- and pan-genome loci)
<p>This dataset refers to the analysis of 49 <em>Arcobacter butzleri</em> genomes and includes the assembled contigs (.fasta and .gbk files), the nucleotide sequences of the predicted transcripts (CDS, rRNA, tRNA, tmRNA, misc_RNA) (.ffn files), the respective amino acid sequences of the translated CDS sequences (.faa files), the nucleotide alignments of all the 1165 core-genome loci, the nucleotide alignments of the genes <em>hecA</em>, <em>tetR </em>and <em>porA</em>, the categorized amino acid sequences of the six hypervariable regions of PorA, and the nucleotide sequences of the first allele of each of the 7474 pan-genome loci with the respective complete allelic profile matrix.</p> <p>All raw sequence reads used in this study were deposited in the European Nucleotide Archive (ENA) (BioProject PRJEB34441).</p>
Fusarium Pan-Annotations: improved individual and collective genome annotations
<p>A 'pan-annotation' of genomes from 77 taxa (83 accessions) across the genus <em>Fusarium</em>, delivered as part of the Earlham Institute Strategic Programme Grant 'Decoding Biodiversity' (BBSRC).</p> <p>Citation:</p> <p><a href="https://www.doi.org/10.1101/2025.03.12.642647" target="_blank" rel="noopener">Leveraging existing data to maximise quality and consistency across gene model annotations: a <em>Fusarium</em> pan-annotation. bioRxiv doi:10.1101/2025.03.12.642647</a></p>
The reconstructed three-dimensional nitrate field dataset for the pan-European ocean using a continual learning-based multilayer perceptron
<p>Based on a newly developed continual learning-based multilayer perceptron model and environmental features, we reconstructed the pan-European 3D ocean nitrate field from 2010 to 2023. The reconstructed field features a monthly temporal resolution, a horizontal spatial resolution of 0.25 degrees, and 63 depth levels, with vertical intervals ranging from 5 to 50 m.</p>
FIG. 3 in Pan-grave faunal practices - Ritual deposits at five cemeteries in Lower Nubia
FIG. 3. – The distribution of species in the Pan-grave deposits containing skulls.
Daily-resolution pan-Arctic Radar and Laser Freeboard
<p>This dataset contains daily-resolution pan-Arctic laser / radar freeboard and uncertainty estimates, created following the methodology outlined in <a href="https://doi.org/10.1029/2022GL100696"><strong>Nab et al. (2023): "Synoptic variability in satellite altimeter-derived radar freeboard of Arctic sea ice"</strong></a></p> <p>Please refer to this publication for a full description of the data and cite this publication when using these data.</p> <p>Variables: Laser / Radar Freeboard (m), Uncertainty (m), Longitude, Latitude, Day</p> <p>Data is available for winter seasons only, with each winter season running from 1 October - 30 April of the specified years</p> <p>Days where no data is available are filled with NaNs</p>
PAN EUROPEAN RAIL NETWORK - Rail Baltica
<p>Rail Baltica demonstrator focus on deployment of autonomous drone flight command and controlled exclusively through cellular network. A drone as a service concept will be elaborated and demonstrated to be further incorporated in routine monitoring of Pan European railway infrastructure construction and exploitation stages.</p>
Personality traits and Pan I locus data of Atlantic cod juveniles
<p class="MsoNoSpacing"><span>Animals show among-individual variation in<span> </span>behaviours, including migration behaviours, which are often repeatable across time periods and contexts, commonly termed "personality". These behaviours can be correlated, forming a behavioural syndrome. </span><span>In this study, we assessed the repeatability and correlation of different behavioural traits i.e., boldness, exploration, and sociality and the link to feeding migration patterns in Atlantic cod juveniles. To do so, we collected repeated measurements within two short-term (three days) and two long-term (two months) intervals of these personality traits and genotypes of the <em>Pan </em>I locus, which is correlated to feeding migration patterns in this species. We found high repeatabilities for exploration behaviour in the short- and long-term intervals, and a trend for the relationship between exploration and the <em>Pan </em>I locus. Boldness and sociality were only repeatable in the second short-term interval indicating a possible development of stability over time and did not show a relation with the <em>Pan </em>I locus. We found no indication of behavioural syndromes among the studied traits. We were unable to identify the existence of a migration syndrome for the frontal genotype which is the reason that the link between personality and migration remains inconclusive, but we demonstrated a possible link between exploration and the <em>Pan</em> I genotype. This supports the need for further research that should focus on the effect of exploration tendency and other personality traits on cod movement, including the migratory (frontal) ecotype to develop management strategies based on behavioural units, rather than treating the population as a single homogeneous stock.</span></p>
Pan-metabolome of the genus Nicotiana", Mendeley Data, V1, doi: 10.17632/rhnxrfzm6n.1
<p>Raw data from metabolite analysis of 20 Nicotiana species. LC-ESI-QTof analysis of polar extracts of leaf, GC-MS analysis of polar and non-polar extracts of leaf, UPLC analysis of carotenoids and chlorophylls in leaf and SPME-GC-MS analysis of freeze dried leaf powder.</p>
Wheat pan exome panel
<p>Tcuni wheat pan exome panel v2.0 (WheatPanExomeV2) was based on multiple wheat genomes(Chinese Spring RefSeq V2.1, KN9204, AK58 ect..). </p>
A geopositioned, evidence-graded, pan-species compendium of Mayaro Virus occurrence
<div> <div> <p>Mayaro Virus (MAYV) is an emerging health threat in the Americas that can cause febrile illness as well as debilitating arthralgia or arthritis. To better understand the geographic distribution of MAYV risk, we developed a georeferenced database of MAYV occurrence based on peer-reviewed literature and unpublished reports. Here we present this compendium, which includes both point and polygon locations linked to occurrence data documented from its discovery in 1954 until 2022. In the associated data descriptor manuscript (<a href="https://doi.org/10.1101/2023.03.07.23286930">https://doi.org/10.1101/2023.03.07.23286930</a>), we describe all methods used to develop the database including data collection, georeferencing, management, and quality-control. We also describe a customized grading system used to assess the quality of each study included in our review. The result is a comprehensive, evidence-graded database of confirmed MAYV occurrence in humans, non-human animals, and arthropods to-date, containing 262 geo-positioned occurrences in total. This database – which can be updated over time – may be useful for local spill-over risk assessment, epidemiological modelling to understand key transmission dynamics and drivers of MAYV spread, as well as identification of major surveillance gaps.</p> </div> </div>
Impressive pan-genomic diversity of E. coli from a wild animal community near urban development reflects human impacts
<p>Data provided here support the findings of this study and code will allow the replication of analyses therein. To do so, first download and unzip the associated data files.</p> <p>For each analysis, the following files are required:</p> <p>PCAs: PCA.R, prokka_annotations.zip (and VirulenceFinder_results.csv for virulence factor PCA)</p> <p>Sankey diagram: Plasmid_AMR_Sankey.R, mlplasmids_results.zip, MOBsuite_results.zip, ResFinder_results.csv</p> <p>Pathotype assignment: VF_data_analysis.R, VirulenceFinder_results.csv</p> <p>TableS1_Ecoli_metadata.csv contains the isolate metadata (n=143) for all above analyses.</p>
Research compendium for 'Hussain et al. (2023) A pan-European dataset revealing variability in lithic technology, toolkits, and artefact shapes ~15-11 kya'
<p><strong>Research compendium for 'A pan-European dataset revealing variability in lithic technology, toolkits, and artefact shapes ~15-11 kya' </strong></p> <p><strong>Compendium DOI:</strong></p> <p><a href="https://doi.org/10.5281/zenodo.7940337">https://doi.org/10.5281/zenodo.7940337</a></p> <p>The files at the URL above will generate the results as found in the publication. The files hosted at <a href="https://github.com/yesdavid/1511NAC_Dataset">https://github.com/yesdavid/1511NAC_Dataset</a> are the development versions and may have changed since the paper was published.</p> <p><strong>Maintainer of this repository:</strong></p> <p>David N. Matzig (<a href="mailto:david.matzig@cas.au.dk">david.matzig@cas.au.dk</a>; <a href="http://orcid.org/0000-0001-7349-5401">http://orcid.org/0000-0001-7349-5401</a>)</p> <p><strong>Published in:</strong></p> <p>Shumon T. Hussain, Felix Riede, David N. Matzig, Miguel Biard, Philippe Crombé, Federica Fontana, Daniel Groß, Thomas Hess, Mathieu Langlais, Javier Fernández-Lopéz de Pablo, Ludovic Mevel, William Mills, Martin Moník, Nicolas Naudinot, Caroline Posch, Tomas Rimkus, Damian Stefański, Hans Vandendriessche. A pan-European dataset revealing variability in lithic technology, toolkits, and artefact shapes ~15-11 kya. <em>Sci Data</em> <strong>10</strong>, 593 (2023). <a href="https://doi.org/10.1038/s41597-023-02500-9">https://doi.org/10.1038/s41597-023-02500-9</a>.</p> <p><strong>Abstract:</strong></p> <p>Comparative macro-archaeological investigations of the human deep past rely on the availability of unified, quality-checked datasets integrating different layers of observation. Information on the durable and ubiquitous record of Paleolithic stone artefacts and technological choices are especially pertinent to this endeavour. We here present a large expert-sourced collaborative dataset for the study of stone tool technology and artefact shape evolution across Europe between ~15.000 and 11.000 years before present. The dataset contains a compendium of key sites from the study period, and data on lithic technology and toolkit composition at the level of the cultural taxa represented by those sites. The dataset further encompasses 2D shapes of selected lithic artefact groups (armatures, endscrapers, and borers) shared between cultural taxa. These data offer novel possibilities to explore within- and between-region patterns of material culture change to reveal scale-dependent processes of long-term technological evolution in mobile hunter-gatherer societies at the end of the Pleistocene. Our dataset facilitates state-of-the-art quantitative analyses and showcases the benefits of collaborative data collation and synthesis.</p> <p><strong>Keywords:</strong></p> <p>Europe; Pleistocene-Holocene transition; Late Glacial archaeology; lithic technology; comparison; macro-archaeology; taxonomy; cultural evolution; digital methods; computational morphometrics; collaborative research; open science</p> <p><strong>Overview of contents and how to reproduce:</strong></p> <p>This repository contains data (<code>1_data</code>) and code (<code>2_scripts</code>) for the paper, as well as the <code>1511NAC_Dataset</code> folder. The <code>1511NAC_Dataset</code> folder contains all relevant data for the readers to start their own analyses using the dataset. After downloading the complete repository, the results can be reproduced using <code>1511NAC_dataset.Rproj</code> and the existing folder structure. The required packages and their versions which have been used in this study are listed below and in the <code>DESCRIPTION</code>-file. All analyses and visualisations presented in this paper were prepared in R 4.2.2 under Ubuntu 18.04.5 LTS (64-bit).</p> <p><strong>Required R-packages and their versions:</strong></p> <p><code>data.table</code> (>= 1.14.8), <code>dplyr</code> (>= 1.1.2), <code>forcats</code> (>= 1.0.0), <code>ggforce</code> (>= 0.4.1), <code>ggplot2</code> (>= 3.4.2), <code>ggpointgrid</code> (>= 1.2.0), <code>ggridges</code> (>= 0.5.4), <code>magrittr</code> (>= 2.0.3), <code>Momocs</code> (>= 1.4.0), <code>outlineR</code> (>= 0.1.0), <code>raster</code> (>= 3.6-20), <code>readr</code> (>= 2.1.4), <code>remotes</code> (>= 2.4.2), <code>rgeos</code> (>= 0.6-2), <code>rworldmap</code> (>= 1.3-6), <code>sp</code> (>= 1.6-0).</p> <p><strong>Licenses:</strong></p> <p>Code: <strong>MIT</strong> <a href="http://opensource.org/licenses/MIT">http://opensource.org/licenses/MIT</a>, copyright holder: David Nicolas Matzig (2023).</p> <p>Data and intellectual work: <strong>Creative Commons Attribution 4.0 International License</strong> (<a href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</a>), copyright holder: the authors (2023).</p>
Pan-European database for pathogenic microbial taxa in birds and bats
<p><span>The spatially extensive multidimensional database of the prevalence of pathogenic microbial taxa for humans and wildlife in birds and bats was compiled by systematically reviewing publications for 121 pathogenic taxa. It covered pathogenic taxa mostly at the genus level (species level for most of the viruses), including sampling from ~450,000 host individuals of 376 bird species and 39 bat species. </span></p> <p><span>Data S1</span><span>. </span><span>Taxonomic details of the covered bird and bat species and pathogen prevalence of the most studied pathogenic microbial taxa in these host species. </span></p> <p><span>Data S2</span><span>. </span><span>Taxonomic details and sample sizes of the covered pathogenic microbial taxa.</span></p> <p><span>Data S3</span><span>. </span><span>Pan-European database for pathogenic microbial taxa from systematic review.</span></p> <p><span>Data S4</span><span>.</span><span> Input data for modelling. The filtered dataset follows the protocol </span><span>illu</span><span>strated in "Database quality control" of Methods in the corresponding article.</span></p> <p><span>Because the database includes endangered species that were listed by the IUCN as anything from Threatened or more severe, the geographical coordinates in the datasets were required by the platform to be masked as numbers with a scale of 1. The finer resolution coordinates (with a scale of 4) can be requested by contacting the corresponding author: Yanjie Xu (<a href="mailto:yanjie.xu5@gmail.com">yanjie.xu5@gmail.com</a> or <a href="mailto:yanjie.xu@helsinki.fi">yanjie.xu@helsinki.fi</a>).</span></p> <p><span>The comprehensive methods about the data collection and database quality control are illustrated in the corresponding article.</span></p> <p><span>Xu, Y., Poosakkannu, A., Suominen, K.M., Laine V.N., Lilley T.M., Pulliainen A.T. & Lehikoinen, A. (2023). Continental-scale climatic gradients of pathogenic microbial taxa in birds and bats. Ecography. https://doi.org/10.1111/ecog.06783</span></p>
Pan trap and plant-flower visitor observation data for: Multi-species crop mixtures increase insect biodiversity in an intercropping experiment
<ol> <li><span>Recent biodiversity declines require action across sectors such as agriculture. The situation is particularly acute for arthropods, a species-rich taxon providing important ecosystem services. To counteract negative consequences of agricultural intensification, creating a less hostile agricultural "matrix" through growing crop mixtures can reduce harm for arthropods without yield losses. </span></li> <li><span>While grassland biodiversity experiments showed positive plant biodiversity effects on arthropods, experiments manipulating crop diversity and agrochemical input use to study arthropods are lacking. </span></li> <li><span>Here, we experimentally manipulated crop diversity (1–3 species, fallows), crop species (wheat, faba bean, linseed, oilseed rape) and agrochemical input (high vs. low) and studied responses of arthropod biodiversity. We tested if arthropod responses were affected by crop diversity, mixtures and management. Additionally, we measured crop biomass.</span></li> <li><span>Crop biomass increased with crop diversity under high-input mangement, while under low management intensity, biomass was highest in two-species mixtures.</span></li> <li><span>Increasing crop diversity positively affected arthropod abundance and diversity, both under low- and high-input management. Crop mixtures containing faba bean, linseed or oilseed rape had particularly high arthropod diversity.</span></li> <li><span>Mass-flowering crops attracted more arthropods than legumes or cereals. Integrating intercropping into agricultural systems could increase flower visits by insects up to 15 million per hectare, thus likely also supporting pollination and pest-control ecosystem services.</span></li> <li><span>Flower-visitor network complexity increased in mixtures containing linseed and faba bean, and under low-input management.</span></li> <li><span>Intercropping can counteract insect declines in farmland by creating beneficial matrix habitat without compromising crop yield.</span></li> </ol>
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.