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348 results for “Core data”
Woerthersee sediment core data for the publication "Validation of seismic hazard curves using a calibrated 14 ka lacustrine record in the Eastern Alps, Austria"
<p>This dataset comprises sediment core data of Wörthersee, a lake in the Eastern European Alps, Austria. Together with a dataset comprising the seismic data (10.5281/zenodo.6479186), this is the basis for the publication Daxer et al. "Validation of seismic hazard curves using a calibrated 14 ka lacustrine record in the Eastern Alps, Austria".</p> <p>The files contain the following data:</p> <ul> <li>Core images Long Cores.zip: Core images of the Wörthersee Kullenberg-type long cores acquired with an ITRAX core scanner</li> <li>Core images Short Cores.zip: Core images of the Wörthersee gravity short cores (hammer-coring or trigger cores of the Kullenberg system) acquired with an ITRAX core scanner; provided as .tif files</li> <li>CT data WOER18-L5-X-Dicom.zip: X-ray computed tomography data acquired with a Siemens SOMATOM Definition AS (voxel size 0.2 x 0.2 x 0.3 mm); provided in DICOM format</li> <li>MSCL data.zip: Data acquired with a Geotek Multi-sensor core logger (e.g. magnetic susceptibility and gamma density); provided as Excel spreadsheets</li> <li>XRF data.zip: X-ray fluorescence data acquired with a ITRAX core scanner; provided in .csv format</li> </ul>
Data from: Phylogenomics of superrosids and core rosids based on nuclear sequences and synteny
<p class="MsoListParagraph">Superrosids form one of the largest clades of angiosperms, including 18 orders (Vitales, Saxifragales and core rosids) which exhibits remarkable morphological and ecological diversity. However, phylogenetic relationships within superrosids remain unclear.</p> <p class="MsoListParagraph">To resolve the phylogeny of superrosids, we screened 122 single copy nuclear genes from 37 species, representing all 18 orders.</p> <p class="MsoListParagraph">Vitales was revealed as sister to all other superrosids. Within core rosids, the fabids should be restricted only to the nitrogen-fixing clade, while Picramniales, the CM clade, Huerteales, Oxalidales, Sapindales, Malvales and Brassicales composed an "expanded" malvids. The COM clade (sensu APG IV) did not form a monophyletic group. Crossosomatales, Geraniales, Myrtales and Zygophyllales did not belong to either malvids or fabids. The difficult phylogeny of superrosids is likely due to the combined effects of ancient reticulation and incomplete lineage sorting.</p> <p class="MsoListParagraph">To provide broader genomic representation of Saxifragales, we constructed a high-quality chromosome-level genome assembly for <em>Tiarella polyphylla</em> (Saxifragaceae). Whole genome microsynteny analysis of superrosids showed that Saxifragales shared more synteny clusters with core rosids than Vitales, which also indicated that Saxifragales has a closer relationship with core rosids.</p> <p class="MsoListParagraph">Our findings contribute to a better understanding of the phylogeny and evolution of angiosperms.</p>
input data for topo_drag.f90 using GFDL dynamical cores
<p> Use XXX=150 for T85, and XXX=300 for T42. Remember to change the file names in the source code or rename these input files accordingly.</p>
The data files for the article "Impact of the core deformation on the tidal heating and flow in Enceladus' subsurface ocean"
<p>The data are given for each figure and each file contains a header regarding information on the columns in the data files. </p>
Radiocarbon, Tephra, and Paleomagnetic Data from 5 Northern North Atlantic Sediment Cores to support Reilly et al. 2023, "The Amplitude and Timescales of 0-15 ka Paleomagnetic Secular Variation in the Northern North Atlantic."
<p>Data in support of Reilly et al., 2023, "The Amplitude and Timescales of 0-15 ka Paleomagnetic Secular Variation in the Northern North Atlantic." Published in the Journal of Geophysical Research: Solid Earth.</p> <p> </p> <p>Excel file includes worksheets for the following data:</p> <p>Tabular versions of the Supplementary Data Tables from the associated publication:</p> <ul> <li>Supplementary Table S1 from Publication: 14C data from sediment cores used in study</li> <li>Supplementary Table S2 from Publication: 14C data used in the GREENICE15 Stack</li> <li>Supplementary Table S3 from Publication: Tephra data used in study</li> </ul> <p>Paleomagnetic Datasets for the Characteristic Remanent Magnetizations used in this study:</p> <ul> <li>Paleomagnetic Data for Core MD99-2264</li> <li>Paleomagnetic Data for Core MD99-2265</li> <li>Paleomagnetic Data for Core MD99-2266</li> <li>Paleomagnetic Data for Core MD99-2269</li> <li>Paleomagnetic Data for Core MD99-2322</li> </ul> <p>Independent radiocarbon based Age Models for 5 cores used in this study:</p> <ul> <li>Independent Age Model for Core MD99-2264</li> <li>Independent Age Model for Core MD99-2265</li> <li>Independent Age Model for Core MD99-2266</li> <li>Independent Age Model for Core MD99-2269</li> <li>Independent Age Model for Core MD99-2322</li> </ul> <p>PSV Dynamic Time Warping (DTW) solutions of 3 cores to target curve, as described in publication</p> <ul> <li>DTW solution for MD99-2265 to target curve</li> <li>DTW solution for MD99-2266 to target curve</li> <li>DTW solution for MD99-2322 to target curve</li> </ul> <p>GREENICE15 PSV Stack</p> <ul> <li>Age model for GREENICE15 Stack using combined radiocarbon dates and correlated equivalent depth scale</li> <li>Inclination, Declination, and alpha 95 for the GREENICE15 PSV Stack</li> </ul>
Data and Code Supplement for "A Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models"
<p>Code and Data Supplement for "A Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models"<br> ===========================================================</p> <p>This directory contains the data and scripts used to create the plots from our publication as well as the source<br> code modifications necessary to run this test case within the CESM and MPAS models.</p> <p>Generating Plots<br> ---------------</p> <p>The `netcdf` directory contains the nominal half-degree runs necessary to generate nearly all of the plots from the paper. The one plot which is not reproducible from these data is the volume-integrated Eddy Kinetic Energy in the Spectral Element model. Storing high-resolution 4D wind fields requires a prohibitive amount of space. These data can be provided by the corresponding author, O.K. Hughes (owhughes@umich.edu). However, because this is several hundred GB of data I would strongly recommend generating these high-resolution runs yourself on your local system if you need them. Using 288 Intel Skylake cores (that is, 8 nodes each with two 18C processors) ran on the order of an hour.</p> <p><em>In order to generate the plots from the paper, you need only install NCL and then run</em> run.bash. Instructions for installing NCL<br> can be found in the `run.bash` script.</p> <p>Source Code Modifications<br> ----------------</p> <p><strong>CESM</strong><br> The `src` subdirectory contains the files `user_nl_cam` and `ic_baroclinic.F90`. Create a case using `--compset=FKESSLER` and `--run-unsupported` options when running `create_newcase`. If your case is located at `${CASE_DIR}`, then from within the directory containing this README, run `cp user_nl_cam ${CASE_DIR}/user_nl_cam`, and then run `cp ic_baroclinic.F90 ${CASE_DIR}/SourceMods/src.cam/`. Then build and run the model using the usual workflow.</p> <p><strong>MPAS</strong></p> <p>The MPAS code was run using a branch of the MPAS model provided by the model developers to the authors. While the source code modifications are provided in the `src` directory, I would strongly recommend contacting the corresponding author if you wish to run this test case in the MPAS codebase.</p>
Data to support: Implications of snowpack reactive bromine production for Arctic ice core bromine preservation
<p>Snowpack emissions are recognized as an important source of gas-phase reactive bromine in the Arctic and are necessary to explain ozone depletion events in spring caused by the catalytic destruction of ozone by halogen radicals. Quantifying bromine emissions from snowpack is essential for interpretation of ice-core bromine. We present ice-core bromine records since the pre-industrial (1750 CE) from six Arctic locations and examine potential post-depositional loss of snowpack bromine using a global chemical transport model. Trend analysis of the ice-core records shows that only the high-latitude coastal Akademii Nauk ice core from the Russian Arctic preserves significant trends since pre-industrial times that are consistent with trends in sea ice extent and anthropogenic emissions from source regions. Model simulations suggest that recycling of reactive bromine on the snow skin layer (top 1mm) results in 9–17% loss of deposited bromine across all six ice-core locations. Reactive bromine production from below the snow skin layer and within the snow photic zone is potentially more important, but the magnitude of this source is uncertain. Model simulations suggest that the Akademii Nauk core is most likely to preserve an atmospheric signal compared to five Greenland ice cores due to its high latitude location combined with a relatively high snow accumulation rate. Understanding the sources and amount of photochemically reactive snow bromide in the snow photic zone throughout the sunlit period in the high Arctic is essential for interpreting ice-core bromine, and warrants further lab studies and field observations at inland locations.</p>
snoRNA core proteins PAR-CLIP data hg38
<p>In this dataset you can find bed file of snoRNA core binding proteins including dyskerin (DKC1), NOP58, NOP56 and fibrillarin (FBL) lifted from hg19 to hg38. NOP58 repA and repB have been merged as single file , as have FBL replicats.</p> <p>Data were made by Kishore et al. 2013 (http://genomebiology.com/2013/14/5/R45), and The Gene Expression Omnibus (GEO) is GSE43666.</p>
Apatite fission track data from debris from the basal ice of the Byrd ice core, central West Antarctica
<p>This dataset comprises of 10 apatite fission track ages. Apatite grains were picked out of the 75-150 micron size fraction of debris melted from two intervals of basal ice from the Byrd ice core. The Byrd ice core was drilled at 80<i><strong>°</strong></i> 0.1'S, 119<i><strong>°</strong></i> 31.0'W at Byrd Station, West Antarctica, in January 1968.</p>
Data from: Phylogeny and biogeography of the core babblers (Aves: Timaliidae)
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Data to support: Implications of snowpack reactive bromine production for Arctic ice core bromine preservation
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Tomographic data of Trilobatus trilobus shells from central Atlantic core-top sediment samples
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Palaeoecological data of KTG core, Katingan, Central Kalimantan, Borneo, Indonesia
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Rwenzori colobus core unit SNA data - association scans between units, simple association index per dyad, male dispersal events, rainfall and food availability
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Data from: Home range and core area characteristics of urban and rural coyotes and red foxes in southern Wisconsin
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Data from: Abundant-core thinking clarifies exceptions to the abundant-center distribution pattern
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Data from: Phylogenomics of superrosids and core rosids based on nuclear sequences and synteny
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Data from: A first draft of the core fungal microbiome of Schedonorus arundinaceus with and without its fungal mutualist Epichloë coenophiala
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Data from: Seismic low-velocity equatorial torus in the Earth's outer core: Evidence from the late-coda correlation wavefield
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Data from: Quantifying shape and ecology in avian pedal claws: the relationship between the bony core and keratinous sheath
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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)
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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.