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1,063 results for “sharpness”
The data for Prediction of Large Solar Flares Based on SHARP and HED Magnetic Field Parameters
<p>The <span>repository</span> includes HED and SHARP Datasets, along with descriptions of the <span>d</span>ata <span>p</span>rocessing <span>procedures</span>, and the experimental code u<span>tilized</span> in <span>our</span> study.</p> <p><span>The files named "HED parameters.csv" and "SHARP parameters.csv" </span><span>represent the raw data of HED and SHARP Datasets</span><span>, respectively. Each dataset consists of 286 ARs, specifically, each dataset includes 189 C-class flaring ARs, 86 M-class flaring ARs, and 11 X-class flaring ARs.</span> <span>The column name "AR" represents the NOAA AR numbers, the column name "time" represents the time at which the AR samples were acquired, and the column name "level" represents the flare class of the AR. Moreover,</span> <span>i</span>n the HED dataset, the column name "energy" represents the "E_{free}", "shear_mean" represents the "\Psi", "uj_mean" represents the "J_{Z}", "uhc_mean" represents the "H_{C}", "GBH_MEAN" represents the "B_{h}", <span>and </span>"ALP_MEAN" represents the "\alpha". In the <span>SHARP</span> dataset<span>, </span>the column names of the other columns correspond to the names of various parameters.</p> <p><span>The files named </span>"SHARP_CV<span>.zip</span>" and "HED_CV<span>.zip</span>" represent the ten cross-validation sets that have been normalized and divided using an AR-based cross-validation method.</p> <p><span>T</span>he <span>d</span>ata <span>p</span>rocessing <span>procedures are as follows. Si</span><span>nce the SHARP and HED parameters have distinct scales and units, they </span><span>are </span><span>individually normalized using mean-standard deviation</span><span>.</span> <span>Subsequently, we set the labels for C-class flaring </span><span>AR</span><span>s to </span><span>the negative class</span> <span>which are equal to 0</span><span>, and the labels for M/X-class flaring </span><span>AR</span><span>s</span> to <span>positive class which are equal to 1</span>. <span>We employ an AR-based cross-validation (CV) method to partition the SHARP and HED datasets with the distribution of the training, validation, and testing sets at a ratio of 60%, 20%, and 20%, respectively.</span> This process is repeated ten times, resulting in ten cross-validation sets in both SHARP datasets (SHARP_CV) and HED datasets (HED_CV), respectively. The column named "level" in the SHARP_CV data and the column named "key" in the HED_CV data represent the labels for the flare classes of the <span>AR</span>s.</p> <p><span>The file named </span>"Parameter description and formula of SHARP and HED as well as data division process.pdf" <span>represents the </span>description and formula of SHARP and HED <span>p</span>arameter<span>s, as well as the procedure for generating 10-fold cross-validation set divisions for the SHARP/HED datasets.</span></p> <p><span>We design five solar flare prediction models leveraging five currently popular deep learning algorithms: Transformer, BiLSTM-Attention, BiLSTM, LSTM-Attention, and LSTM. Moreover, we use the NN model as the baseline model to compare with other deep learning model. </span>The solar flare prediction model used in this <span>paper</span> can be accessed via https://drive.google.com/drive/folders/1n6fXcQdCBogKt6L0aaPFagraFcXmX0fw?usp=drive_link.</p> <p> </p>
Fig. 2. Mecyclothorax moorei n in A New Species of the Genus Mecyclothorax Sharp from New South Wales (Insecta: Coleoptera, Carabidae: Psydrinae)
Fig. 2. Mecyclothorax moorei n.sp., male aedeagus, parameres and genital ring. Scales: 0.25 mm.
Fig. 3. Mecyclothorax moorei n in A New Species of the Genus Mecyclothorax Sharp from New South Wales (Insecta: Coleoptera, Carabidae: Psydrinae)
Fig. 3. Mecyclothorax moorei n.sp., female gonocoxites 1 and 2. Scale: 0.1 mm.
Fig. 24 in Taxonomic revision of the New World species of the genus Oosternum Sharp (Coleoptera: Hydrophilidae: Sphaeridiinae) II. The Oosternum convexum species group
Fig. 24. Distribution of the Oosternum convexum species group.
Focus-ISM for Sharp and Gentle Super-Resolved Microscopy
<p>To date, the feasibility of super-resolution microscopy for imaging live and thick samples is still limited. Stimulated emission depletion (STED) microscopy requires high-intensity illumination to achieve sub-diffraction resolution, potentially introducing photodamage to live specimens. Moreover, the out-of-focus background may degrade the signal stemming from the focal plane. Here, we propose a new method to mitigate these limitations without drawbacks. First, we enhanced a STED microscope with a detector array, enabling image scanning microscopy (ISM). Therefore, we implemented STED-ISM, a method that exploits the working principle of ISM to reduce the depletion intensity and achieve a target resolution. Later, we developed Focus-ISM, a strategy to improve the optical sectioning and remove the background of any ISM-based imaging technique, with or without a STED beam. The proposed approach requires minimal architectural changes to a conventional microscope but provides substantial advantages for live and thick sample imaging.</p> <p> </p>
Confocal microsscope and sharp force trauma (Roc de les Orenetes)
<p>3D scans obtained with confocal microscopy (Sensofar S-Neox 3D Optical Profiler (SSN09000)) on the Roc de les Orenetes (Queralbs, Girona, Spain) cut marks. The scans were obtained with SensoScan software, which can be opened and edited with SensoView, and the folder also contains some of the processed images used in this study. This is a supplementary material of the paper "Death in the high mountains: Evidence of interpersonal violence during Late Chalcolithic and Early Bronze Age at Roc de les Orenetes" (Moreno-Ibáñez et al., 2023: submitted). It is divided into two main folders: chop marks and slice marks. The cut marks of each bone have been grouped in folders with their corresponding labels, and in the case of a bone having more than one clearly distinguishable cut mark, these have also been divided into sub-folders, indicating “cut mark 1”, “cut mark 2”, etc. The file names also indicate the label code of the bone, the magnification at which the image was taken (5x, 10x, or 20x), and the type of visualization used in the form of acronyms, which are listed hereafter:</p> <p>ST: stack (conventional confocal display, black and white).</p> <p>FC: false color (visualization of the topography of the bone surface in a range of colors, without texture).</p> <p>FCST: false color + stack (combination of the two aforementioned visualizations, false color topography plus surface texture).</p> <p>FR: form removal (the inclination or concavity of the bone is flattened with SensoView software to better observe the surface topography in false color, without the curvature of the bone hindering the cut mark).</p> <p>VD: viridis (viridis false color range, from yellow to blue through green, used in cases where the desired features of the cut mark were best viewed in this mode).</p> <p>3D: three-dimensional movable scans.</p> <p>2D: two-dimensional images.</p>
Larval Debridement Therapy Versus Sharp Debridement to Remove Biofilm
ClinicalTrials.gov study NCT02294175. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Glove Perforation When Using Blunt Verses Sharp Needles in Cesarean Delivery
ClinicalTrials.gov study NCT00736580. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Santyl vs. Sharp Debridement of Diabetic Foot Wounds
ClinicalTrials.gov study NCT01056198. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Varieties of the highly dispersible and hypervariable tree, Metrosideros polymorpha, differ in response to mechanical stress and light across a sharp ecotone
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Assessing cooper’s hawk (<em>Astur cooperii</em>) and sharp-shinned hawk (<em>Accipiter striatus</em>) prey size and species composition using citizen science data
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Using habitat, morphological, and genetic characteristics to delineate the subspecies of Sharp-Tailed Grouse in south-central Wyoming
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A before/after intervention study to determine impact on life cycle carbon footprint of converting from single-use to reusable sharps containers in 40 United Kingdom NHS Trusts
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Data from: Spatiotemporal patterns of neocortical activity around hippocampal sharp-wave ripples
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Resource selection and survival of plains sharp-tailed grouse at a wind energy facility
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Niche conservatism and sympatric parallel evolution may help to maintain eight nascent tree taxa along a sharp elevation gradient
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Supporting data for: A big chill: Examining an extremely sharp cold front from three perspectives
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FIGURE 2. A in Re-description of larvae of Chostonectes nebulosus (Macleay, 1871) (Coleoptera: Dytiscidae, Hydroporinae, Hydroporini, Sternopriscina) with an identification key to the known larvae of Chostonectes Sharp, 1882
FIGURE 2. A—selected head measurements and features of Chostonectes larvae. WSAN—width of spatulate apex of nasale; MWN—minimum width of nasale; B—mandible measurements; C—head capsule of C. nebulosus instar III showing distinctive colour pattern and distribution of setae; D—posterior view and E—anterior view of middle leg of C. nebulosus instar III; E—details of femur.
FIGURE 1 in Re-description of larvae of Chostonectes nebulosus (Macleay, 1871) (Coleoptera: Dytiscidae, Hydroporinae, Hydroporini, Sternopriscina) with an identification key to the known larvae of Chostonectes Sharp, 1882
FIGURE 1. Dorsal view of Chostonectes nebulosus A—larva, B—adult; scale bar is 4 mm for adult and 3.2 mm for larva.
FIGURES 16–20 in Chaetotaxy and morphometry of the head capsule and head appendages of the genus Derallus Sharp (Coleoptera: Hydrophilidae)
FIGURES 16–20. Derallus angustus, third instar larva. (16) clypeolabrum, dorsal view; (17) left antenna, dorsal view; (18) left mandible, dorsal view; (19) left maxilla, dorsal view; (20) right maxilla, ventral view. Scale bars: 0.05 mm.
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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.