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The barred knifejaw, Oplegnathus fasciatus (Teleostei: Centrarchiformes Oplegnathidae), is an important species in marine cage culture and fish stocking for marine ranching in East Asia. The males of Oplegnathidae (O. fasciatus and O. punctatus) species are characterized by an X1X2Y system with a neo-Y chromosome based on male karyotype analyses. Release of the chromosome-level reference genome of female O. fasciatus has facilitated insights into the origin of the X1X2Y system of male O. fasciatus. In the present study, we applied PacBio long-read sequencing and high-throughput chromosome interaction mapping (Hi-C) to assemble a chromosome-level genome of male O. fasciatus. A highly contiguous genome with a size of 795 Mb, 2,295 contigs, and a contig N50 of 2.13 Mb was obtained. The 1,355 ordered contigs combined with the draft genome were further assembled into 23 chromosomes approximately 762 Mb in length with a contig and scaffold N50 length of 2.18 and 32.43 Mb, respectively. A large neo-chromosome (Ch9) of 94.2 Mb was assembled from 444 contigs, and found to be more than three times larger than the rest chromosomes in O. fasciatus genome. In addition, 63.1 Mb of the Ch9 sequences of male O. fasciatus had high identity (~99.0%) to the Ch8 and Ch10 sequences of female O. fasciatus based on a whole-genome synteny analysis, showing that the neo-Y chromosome shared significant homology with Ch8 and Ch10 based on male/female genome comparison. Significant fission tracks at the terminal point of the chromosomes were also identified between Ch9 and Ch8/Ch10 using synteny analyses, which showed chromosome rearrangements events had happened in the neo-chromosome Ch9. Our present results accurately demonstrated that the X1X2Y system of male O. fasciatus originated from the fusions of the non-homologous chromosomes Ch8 and Ch10. According to the synteny analyses and previous karyotypes results, which characterized acrocentric chromosomes, we suggested that a centric fusion of acrocentric chromosomes Ch8 and Ch10 was responsible for the formation of the X1X2Y system of male O. fasciatus.
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We presents a dataset of 100 fundus digital images of retina. The retinal images are taken from Armed Forces Institute of Ophthalmology (AFIO), Rawalpindi, Pakistan and annotated with the help of four expert ophthalmologists for the purpose of computer aided diagnosis of hypertensive retinopaty, diabetic retinopathy and papilledema. This dataset contains retinal blood vessels network, segmented artery/ vein network to calculate Arteriovenous Ratio (AVR), annotation of Optic Nerve Head (ONH) and various retinal abnormalities such as hard exudates (HE) and cotton wool spots. The dataset is valuable for those researchers who are developing automated systems for vessels segmentation, artery/ vein classification, diagnosis of hypertensive retinopathy, diabetic retinopathy and papilledema. Please cite the following article if you want to use this dataset: Muhammad Usman Akram, Shahzad Akbar, Taimur Hassan, Sajid Gul Khawaja, Ubaidullah Yasin, Imran Basit, "Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema", Data in Brief, Volume 29, 105282, ISSN 2352-3409, 2020.
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This data includes all the input data for the test instances used in the experiments. The input data consists of three sets of benchmarks including OR-Lib set (40 graphs), TSP-Lib set (20 graphs) and University of Florida Sparse Matrix Collection (3 graphs) .
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This data repository holds the raw data traces of the bouton responses presented in Bilz et al "Visualization of a distributed synaptic memory code in the Drosophila brain". We analyzed synaptic boutons of Kenyon cells of the Drosophila mushroom body γ-lobe, two to five by expressing a fluorescent Ca2+ sensor in single Kenyon cells so that axonal boutons could be assigned to distinct cells. Single files in this data set represent single cells in the described experiments. The data set consists of all cells included in the publication and is devided into a raw dataset presented here as xlsx files and an analysed data set as MatLab files. The Matlab scripts used to analyse the data can be found here: https://github.com/zerotonin/KCC_KenyonCellCorrelator . Data organization of the xlsx files =========================== Each file contains the responses of one cell. The data inside the file is split onto two sheets: Sheet 1 contains pre learning phase data, Sheet 2 contains post learning data. The data on each sheet is saved as a two mxn dimensional matrix, where m represents the number of acquired frames and n the number of identified boutons on the cell. The first row of the sheet contains stimulus inforation. All xlsx files can be found in xlsxData.zip Data organization of the MatLab files ============================== The data organization of the Matlab files is described in "Steps to reproduce" .
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This Dataset Contains augmented X-ray Images for COVID-19 for COVID-19 Disease Detection Using Chest X-Ray images. The dataset is collected from two online available datasets (https://github.com/ieee8023/covid-chestxray-dataset and https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia). The dataset contains two folders one for COVID-19 Augmented images while Non-COVID-19 is not augmented and the other folder contains augmented images for both COVID-19 and Non-COVID-19.
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VASP input and output data for the layers and stackings of fluorographane and related materials
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GIS DATASETS: Research_area.zip: the vector map data of the study area; LC08_L1TP_122034_20180417_20180501_01_T1_B3.TIF,LC08_L1TP_122034_20180417_20180501_01_T1_B4.TIF,LC08_L1TP_122034_20180417_20180501_01_T1_B5.TIF,LC08_L1TP_122034_20180417_20180501_01_T1_B8.TIF:the original image data of four bands; Program DATASETS: py.zip:U-net network file(U-Net.py), evaluation procedure(Analysis.py), cutting program(cut_png.py)
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Overview: This study uses a set of criteria to examine cold air outbreaks (CAOs) across the globe from 1979 – 2018 and to determine how CAOs have changed over the last 40 years. We found CAOs occur most frequently in the Northern Hemisphere, with as many as 8 CAO days per year in North America and Eurasia. CAOs were found to have decreased in size, intensity, frequency, and duration across much of the globe, with the largest decreases in Alaska, Canada, and the North Atlantic, while an increase in CAOs was observed in Eastern Europe, Central Eurasia, and the Southern Ocean. Early and late winter CAOs have also become much less frequent in most regions. Data Used: Two-meter temperature (T2m) data was acquired from the NCEP/NCAR (NNR) climate reanalysis dataset (National Center for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) and the recently released ERA5 reanalysis data set from the European Center for Medium-Range Weather Forecasts (ECMWF). ERA5 T2m was acquired at a 1 degree spatial resolution on an hourly timescale and converted to daily mean T2m while NNR daily mean T2m was acquired at a T62 gaussian grid (192 longitude and 94 latitude) spatial resolution from 1979 - 2018. CAO Methods: Three criteria for a CAO were designed to capture the most extreme CAOs while being flexible enough to capture the entire evolution of the event. 1.) Magnitude: The magnitude criterion requires the daily mean temperature to be at or below the 2.5th percentile threshold of deseasonalized 2-meter temperature (T2m). The daily mean T2m must also be at or below 20 degrees Celsius with a departure from the climatological mean of at least -2 degrees Celsius. 2.) Spatial Extent: The daily spatial extent, which is a summation of all contiguous grid points that meet the magnitude criteria, must be at least 1,000,000 km2. 3.) Duration: The duration criterion requires the magnitude criterion for the entire CAO be met for at least five consecutive days and begins on the first day in which the spatial extent criterion is met and ends on the last day the spatial extent criterion is met. How to use and interpret data: There are 3 files: 1.) and excel file of all CAOs for both the NNR and ERA5 (separate tabs). Because the ERA5 data is the primary data set used in this study it has two additional columns of data, one for the region of the CAO and one for the hemisphere of the CAO. 2.) A .mat file (MATLAB) of all the ERA5 CAO data. The column headers are as follows: [1. daily data for each CAO event, 2. onset date, 3. duration, 4. Mean z-score 5. mean z-score per gridpoint, 6. total duration per gridpoint 7. daily z-score per gridpoint 8. temperature anomaly each day, 9. Region 10. hemisphere] 3.) A similar .mat file, but for the NNR CAOs. Differences: columns 4 and 5 and 11 in the NNR file are not in the ERA5 file (shift headers). These were used in calculations but omitted from ERA5 file for size restraints.
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The procreative statistical framework of musical note structures produces a crucial role in multimedia music classification and reconstruction strategies. Another most significant thing for harmonious music composition is the rhythmic structures that provide musical performance in a harmonic form. This paper has illustrated computational music theory and allied factors to regulate what human beings can acquire, remember, and reconstruct music for sustaining intangible cultural heritage. The music strings or symbols are also imperative factors that assist the musicians as performance guidelines. To afford a syntactic outline of musical note arrangements, a stochastic model along with probabilistic context-free music grammar has been illustrated in this paper. The state transition analysis has also been incorporated in terms of transition table and diagram to demonstrate which state can move to the other one within a finite automaton depending on the behaviors of the current state and associated transition rule. Petri net has been used for modeling and simulating the projected complex music composition framework to analyze system performances. The Petri net simulation-based reachability and system efficiency have been evaluated for analyzing the effectiveness of the proposed event-driven architecture. For incorporating real data into the projected framework, the music composition and reconstruction tool has also been demonstrated. The system performance evaluation metric has shown that around 92% efficiency level has been achieved by analyzing the projected music composition model.
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By applying the spray method (IEC Standard 62073), about 4500 photos were collected and are available online, from all hydrophobicity classes using distilled water-ethyl alcohol as spraying solution. The pictures of the seven different hydrophobicity classes were split into three separate sets for each hydrophobicity class. The first one consisting of 400 instances of each class (400 × 7 = 2800 photos) was used for the training of the networks. The second one consisting of 100 instances of each class (100 × 7 = 700 photos) was used for the evaluation-validation of the learning course and the comparison of the different models. The last one with 122-165 different instances of each class (980 photos) was used for the final assessment of our chosen model.
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