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17 results for “process preservation”
Heatmaps of orthology and protein domain preservation in RNA Processing complexes throughout the fungal kingdom
<p>An analysis of the presence/absence of orthologues for Fungal RNA Processing protein complexes, and the presence/absence of the known PFAM protein domains within each protein within these complexes in the organism's proteome. </p> <p>Each image represents one RNA Processing protein complex.</p> <p>Orthology (far left panel in each image) is relative to Yeast, and taken from a query against the EnsEMBL orthology database (black = no orthologue; red = orthologue). <br> <br> Each orthologue was then queried for its PFAM domains, and the non-redundant set of PFAM domains representing each set of orthologous proteins, spanning all species, was then scanned against the complete proteome of each species. The resulting heatmap indicates the presence or absence of that PFAM domain anywhere in the proteome of that species. (black = absent; red = 1 copy; grey->blue = more than one copy)</p>
Text-fig. 4. Lepidocarpon cone in the process of disaggregating as part of the dispersal strategy of the plants. When preserved isolated, the sporophylls are assigned to the fossil-genus Lepidostrobophyllum. Refigured from Thomas (1981). Grovesend Formation (upper Asrturian – lower Moscovian), Kilmersdon Tip, Radstock Coalfield, UK; Natural History Museum (London) specimen V.60431. in Naming Of Parts: The Use Of Fossil-Taxa In Palaeobotany
Text-fig. 4. Lepidocarpon cone in the process of disaggregating as part of the dispersal strategy of the plants. When preserved isolated, the sporophylls are assigned to the fossil-genus Lepidostrobophyllum. Refigured from Thomas (1981). Grovesend Formation (upper Asrturian – lower Moscovian), Kilmersdon Tip, Radstock Coalfield, UK; Natural History Museum (London) specimen V.60431.
Process Models obtained from event logs with with different information-preserving abstractions
<p>This dataset contains results of the experiment to analyze information preservation and recovery by different event log abstractions in process mining described in: Sander J.J. Leemans, Dirk Fahland "Information-Preserving Abstractions of Event Data in Process Mining"<br> Knowledge and Information Systems, ISSN: 0219-1377 (Print) 0219-3116 (Online), accepted May 2019</p> <p>The experiment results were obtained with: https://doi.org/10.5281/zenodo.3243981</p>
Text-fig. 7. Metacheiromys marshi, USNM-P 452349, basicranium isosurface from CT scans in oblique ventral view, showing middle ear ossicles as preserved. On the specimen's left side, the ossicles are essentially in life position, with the stapes largely hidden in the fenestra vestibuli; the left malleus is broken and represented largely by the mallear head. On the specimen's right side, most of the floor of auditory bulla has been removed to expose the malleus, which has shifted posteriorly from the life position. Abbreviations: aptt – anteroventral process of tegmen tympani, bo – basioccipital, bs – basisphenoid, eam – squamosal roof of external acoustic meatus, eo – exoccipital, gf – glenoid fossa, i – incus, m – malleus, mh – mallear head, oc – occipital condyle, pr – promontorium of petrosal, sh – stapedial head, tm – part of tubular external acoustic meatus. in Skeletal Anatomy Of The Basicranium And Auditory Region In The Metacheiromyid Palaeanodont Metacheiromys (Mammalia, Pholidotamorpha) Based On High-Resolution Ct Scans
Text-fig. 7. Metacheiromys marshi, USNM-P 452349, basicranium isosurface from CT scans in oblique ventral view, showing middle ear ossicles as preserved. On the specimen's left side, the ossicles are essentially in life position, with the stapes largely hidden in the fenestra vestibuli; the left malleus is broken and represented largely by the mallear head. On the specimen's right side, most of the floor of auditory bulla has been removed to expose the malleus, which has shifted posteriorly from the life position. Abbreviations: aptt – anteroventral process of tegmen tympani, bo – basioccipital, bs – basisphenoid, eam – squamosal roof of external acoustic meatus, eo – exoccipital, gf – glenoid fossa, i – incus, m – malleus, mh – mallear head, oc – occipital condyle, pr – promontorium of petrosal, sh – stapedial head, tm – part of tubular external acoustic meatus.
Data and processing scripts from "Morphodynamic Preservation of Fluvial Channel Belts"
<p>This compilation contains data reported in the manuscript</p> <p>Cardenas, Lamb, Jobe, Mohrig, and Swartz, Morphodynamic preservation of fluvial channel belts.</p> <p>As of Nov 2022, this manuscript is submitted to SEPM (Society for Sedimentary Geology) journal <em>The Sedimentary Record.</em></p> <p>Compilation contains:</p> <p>(1) Table showing the edge coordinates of each channel belt in the associated manuscript.</p> <p>(2) Table showing centerline point coordinates.</p> <p>(3) Table showing all width measurements for each channel belt.</p> <p>(4) A compilation table showing representative geometric measurements for each belt.</p> <p>(5) A python script to generate paleoflow directions from centerline coordinates.</p> <p>(6) A script to generate various geometric measurements from belt edge coordinates.</p> <p>(7) A script to plot histograms of geometric measurements.</p>
Data from: Yellowstone bison—should we preserve artificial population substructure or rely on ecological processes?
Halbert et al. (2012) analyzed microsatellite genotypes collected from 661 Yellowstone bison sampled during winters from 1999 through 2003 and identified 2 genetically distinct subpopulations (central, northern) based on genotypic diversity and allelic distributions. Based on these findings, they raised concerns about the management and long-term conservation of Yellowstone bison due to disproportionate culling of the 2 subpopulations in some winters. The data and findings of Halbert et al. (2012) are significant and useful for managers charged with conserving these iconic wildlife. However, their article provides information regarding the behavior and management of Yellowstone bison that does not accurately portray historic or current conditions. This response clarifies those conditions and challenges some of their apparent deductions and recommendations.
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
<h1>Overview</h1> <p>This dataset is derived from the <a href="https://quijote-simulations.readthedocs.io/en/latest/bsq.html">Big Sobol Sequence (BSQ) of the Quijote simulations</a>, a collection of N-body simulations designed for machine learning applications. Each simulation consists of a point cloud (points in space, with 3D coordinates attached to them) generated under a varying set of cosmological parameters. Each point represents a simulated galaxy and is accompanied by associated properties such as velocity and mass. The cardinality of each point cloud is 5000 points. The dataset is split into 11,200 simulations in the training set, 608 in the validation set, and 576 in the test set. </p> <h1>File structure</h1> <p>The dataset is provided in <a href="https://www.tensorflow.org/tutorials/load_data/tfrecord">TFRecord format</a>. The training simulations are split across 50 TFRecord files following the naming convention <code>halos_train_<i>.tfrecord</code>. The validation and test sets are provided in <code>halos_val_1.tfrecord</code> and <code>halos_test_1.tfrecord</code>, respectively.</p> <p>Each dataset can be loaded using TensorFlow as shown in the code example below:</p> <div> <blockquote> <div>import tensorflow as tf<br><br>files = tf.io.gfile.glob(f"halos*train*.tfrecord") # replace 'train' with 'val' or 'test'</div> <div>dataset = tf.data.TFRecordDataset(files)</div> </blockquote> </div> <h2>TFRecord structure</h2> <p>Each record (corresponding to a point cloud) in a TFRecord file contains the following feature fields:</p> <ul> <li><code><strong>"x"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Position along x axis</li> <li><code><strong>"y"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Position along y axis</li> <li><code><strong>"z"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Position along z axis</li> <li><code><strong>"v_x"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Velocity along x axis</li> <li><code><strong>"v_y"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Velocity along y axis</li> <li><code><strong>"v_z"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Velocity along z axis</li> <li><code><strong>"J_x"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Angular momentum along x axis</li> <li><code><strong>"J_y"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Angular momentum along y axis</li> <li><code><strong>"J_z"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Angular momentum along z axis</li> <li><code><strong>"M200c"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Virial mass</li> <li><code><strong>"Omega_m"</strong></code>: <em>(float)</em> - Matter density</li> <li><code><strong>"Omega_b"</strong></code>: <em>(float)</em> - Baryon density</li> <li><code><strong>"h"</strong></code>: <em>(float)</em> - Hubble parameter</li> <li><code><strong>"n_s"</strong></code>: <em>(float)</em> - Density perturbation spectral index</li> <li><code><strong>"sigma_8"</strong></code>: <em>(float)</em> - RMS matter fluctuation amplitude on a scale of 8 Mpc/h</li> <li><code><strong>"tpcf"</strong></code>: <em>(tensor of shape [24], dtype=float)</em> - Two-point correlation function</li> </ul> <p> </p>
Data from: Yellowstone bison—should we preserve artificial population substructure or rely on ecological processes?
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A Cosmological Benchmark for Symmetry-Preserving Data Processing
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Decisional Process in Male Fertility Preservation
ClinicalTrials.gov study NCT02411214. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Effectiveness of Alveolar Bone Preservation in Alveoli With Infectious Process
ClinicalTrials.gov study NCT06661863. IPD Sharing: NO. Countries: 1. Publications: 0.
PeptiCol EZgraft in the Extraction Socket Preservation Process After Tooth Extraction
ClinicalTrials.gov study NCT06783660. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC
GEO Series GSE161999. Homo sapiens; synthetic construct. 70 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing.
Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [miRNA]
GEO Series GSE161997. Homo sapiens; synthetic construct. 35 samples. Type: Non-coding RNA profiling by array.
Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [mRNA]
GEO Series GSE161986. Homo sapiens. 35 samples. Type: Expression profiling by array.
Suppressing Proteasome Mediated Processing of Topoisomerase II DNA-Protein Adducts Preserves Genome Integrity
GEO Series GSE140372. Mus musculus. 35 samples. Type: Other.
A Cosmological Benchmark for Symmetry-Preserving Data Processing (JSONL)
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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.
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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.