3,002 Works

SivaTest

Siva Munnaluri
Hex Dat to be converted to float

AGE: Angle closure Glaucoma Evaluation Challenge

Huazhu Fu, Fei Li, José Ignacio Orlando, Hrvoje Bogunović, Xu Sun, Jingan Liao, Yanwu Xu, Shaochong Zhang & Xiulan Zhang
Glaucoma is the leading cause of irreversible blindness in the world, and primary angle closure glaucoma (PACG) is one of the main subtypes. PACG patients have narrow chamber angle and can be diagnosed by goniscopy, which may cause discomfort and relies too much on personal experience. Anterior segment OCT is able to provide 3D scan of the anterior chamber and assist the ophthalmologists evaluate the condition of chamber angle. It’s faster and objective compare with...

PHB measurements with DPSSL and incoherent light sources. Experiment B.

L.S. Shibryaeva & Multiparametric Microscopy Facility Subdivision: DPSSL-microscopy
It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.

Real-life current signal from a wind generator

Eder Kapisch, Leandro Manso, Carlos Duque & Victor Morais
This real-life current signal was acquired from a wind generator.The nominal fundamental frequency of the system is 60 Hz.The sampling rate is 7,680 kHz, which corresponds to 128 samples per fundamental cycle.The magnitude is given in amperes (A). The length of the signal is approximately one hour (3640 s).

Real-life current signal from a wind generator

Eder Kapisch, Leandro Silva, Carlos Duque & Victor Morais
This real-life current signal was acquired from a wind generator.The nominal fundamental frequency of the system is 60 Hz.The sampling rate is 7,680 kHz, which corresponds to 128 samples per fundamental cycle.The magnitude is given in amperes (A). The length of the signal is approximately one hour (3640 s).

Supplement to: Notchenko A., Endaltsev N., Gradov O. Novel FRAP techniques... Preprint, 2019.

A. Notchenko, N. Endaltsev & O. Gradov
Suppl. to: Notchenko A., Endaltsev N., Gradov O. Novel FRAP techniques... Preprint, 2019.For more details see original article.

\"Four months later...\": the morphology of fully dehydrated or crystallized mineral samples after microwave irradiation.

Margaret Gradova & Oleg Gradov
See our next articles.

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Sidhu Gagan
This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection for psychiatric classification.The datasets given in the Links section are a reduced subset of the one contained in the respective tar file (a consequence of Mendeley Data's 10GB limitation).The Linked datasets (not the tar files) contain just the matlab file and the resting state image, where appropriate.The datasets in the tar file contain all of the preprocessing intermediates for the...

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Sidhu Gagan
This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection in psychiatric classification.The datasets given in the Links section are reduced subsets of those contained in their respective tar files (a consequence of Mendeley Data's 10GB limitation).The Linked datasets (not the tar files) contain just the MATLAB file and the resting state image (or block-design fMRI for the MRN dataset), where appropriate.The datasets in the tar file contain all of...

V, θ, LoadP, LoadQ, GenP, GenQ, and Jacobian Matrix for a Daily Power Consumption in a IEEE 9-Bus System

Xing He
V, θ, LoadP, LoadQ, GenP, GenQ, and Jacobian Matrix for a Daily Power Consumption in a IEEE 9-Bus System

Guide2Treat: Software

Matthias Becker
Evidence-based guidelines have been proved to exhibit a positive impact on the quality of the treatment process. However, their influence on patient care remains limited. For the success and effectiveness of clinical guidelines, a fast and clear provision of knowledge at the point of care for all treating physicians is essential. A uniform formal representation is developed so that the knowledge extracted from the patient data is consistently presented at the human-machine interface. The gold...

Guide2Treat: Software

Matthias Becker
Evidence-based guidelines have been proved to exhibit a positive impact on the quality of the treatment process. However, their influence on patient care remains limited. For the success and effectiveness of clinical guidelines, a fast and clear provision of knowledge at the point of care for all treating physicians is essential. A uniform formal representation is developed so that the knowledge extracted from the patient data is consistently presented at the human-machine interface. The gold...

Illumination Dataset

Maryam Haghighat
The dataset includes sample indoor and outdoor sequences with considerable variations in illumination.

Daily and Sports Activities Data Set

Kerem Altun & Billur Barshan
The dataset comprises motion sensor data of 19 daily and sports activities each performed by 8 subjects in their own style for 5 minutes. Five Xsens MTx units are used on the torso, arms, and legs.

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Sidhu Gagan
This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection in psychiatric classification.The datasets given in the Links section are reduced subsets of those contained in their respective tar files (a consequence of Mendeley Data's 10GB limitation).The Linked datasets (not the tar files) contain just the MATLAB file and the resting state image (or block-design fMRI for the MRN dataset), where appropriate.The datasets in the tar file contain all of...

Psychosocial risk level on teachers schools

Rodolfo Mosquera Navarro
The database was created with records of psychosocial risk level colombian teachers school using physiological variables from May 2016 to December 2017 in five municipalities of a metropolitan area of city in Colombia. The application of physiological variables was made to the people who voluntarily participated in the study. The names and personal data were kept by the researcher.

Electromagnetic Imaging signals for stroke classification

Guohun Zhu
The proposed signals are used for electromagnetic-based strokeclassification. Sixrealistic head phantom computedfrom MRI scans, is surrounded by an antenna array of16 dipole antennas distributed uniformly around the head. These antennas are deployed in a fixed circulararray around the head, at a distance of approximately 2-3 mmfrom the head. A Gaussian pulse covering the bandwidthfrom 0:7 to 2 GHz is emitted from each of the antennas,sequentially, while all of the antennas capture the scatteredsignals.Since 16 antennas...

Signing in the Wild dataset

Mark Borg & Kenneth P. Camilleri
Our Signing in the Wild dataset consists of various videos harvested from YouTube containing people signing in various sign languages and doing so in diverse settings, environments, under complex signer and camera motion, and even group signing. This dataset is intended to be used for sign language detection.For the negative set, we created two classes of videos, labelled‘speaking’ and ‘other’. Our motivation for the ‘speaking’ class isthat speech is often accompanied by hand gestures (gesticulation),which...

Data for: A Low-Complexity Machine Learning Nitrate Loss Predictive Model – Towards Proactive Farm Management in a Networked Catchment

Nick Harris
With the advent of Wireless Sensor Networks, the ability to predict nutrient-rich discharges, using on-node prediction models, offers huge potential for enabling real-time water reuse and management within an agriculturally-dominated catchment Existing discharge models use multiple parameters and large historical data which are difficult to extract and this, coupled with constraints on network nodes (battery life, computing power, sensor availability etc.) makes it necessary to develop low-dimensional models. This paper investigates a data-driven model for...

CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

Jerome Abdelnour, Giampiero Salvi & Jean Rouat
We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561.This dataset aim to promote research in the acoustic reasoning area.It comprise Acoustic Scenes and multiple questions/answers for each of them.Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it. The dataset is constitued is separated in 3 sets :Training35 000 acoustic scenes1 400 000 questions/answersValidation7 500 acoustic scenes300 000 questions/answersTest7 500 acoustic scenes300 000 questions/answers...

DualModal2019 dataset

Shulin Zhang, Rui Zheng & Mingzhai Sun
The DualModal2019 is a dual-modal fundus image dataset. It is for vessel, arteriole, and venule segmentation tasks. The dataset consists of five types of images: RGB color images, the 570 nm and 610 nm monochromic images, and the corresponding manually annotated ground truth images of the arterioles and venules.

Frequency Domain Dielectric Spectrum Characteristic Parameters and Water Balance Curve Characteristic Parameters of Oil-Paper Insulation

Tiantian Zou
Itgives the test results of a few typical samples to analyze the difference in the effect of moisture and aging on FDS curves. (a) and (b) take A1 and A4 samples as examples, respectively, to show the effect of moisture on frequency domain dielectric spectra. It can be seen that the frequency-domain response curves of dielectric loss increase with increase in the moisture content for both unaged and severely aged samples, and there is a...

DNS Tunneling Dataset

Saeed Shafieian
The training and test dataset for DNS tunneling detection.

Data for: A Low-Complexity Machine Learning Nitrate Loss Predictive Model – Towards Proactive Farm Management in a Networked Catchment

Nick Harris
With the advent of Wireless Sensor Networks, the ability to predict nutrient-rich discharges, using on-node prediction models, offers huge potential for enabling real-time water reuse and management within an agriculturally-dominated catchment Existing discharge models use multiple parameters and large historical data which are difficult to extract and this, coupled with constraints on network nodes (battery life, computing power, sensor availability etc.) makes it necessary to develop low-dimensional models. This paper investigates a data-driven model for...

Ima procedure for gap-filling LST and NDVI images of Navarre (Spain)

Ana F Militino, Maria D. Ugarte, Unai Pérez-Goya & Marc G Genton
Run_IMA_proceure.R is an script that fills the clouds of the 3 target images or the complete neighborhood of 27 images of LST and NDVI remote sensing data in Navarre(Spain) and estimates the standard errors.

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  • 2019
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  • Dataset
    3,002