7,601 Works

Quay crane spreader sway speed X-axis (10 use cases)

Sergej Jakovlev
10 Use cases of containers sway speed along the X-axis during loading and unloading procedures using a quay crane in Klaipeda containers terminal.

BioMASS Space Model Dataset Benchmark

Candelaria Elizabeth Sansores & Joel Antonio Trejo
This dataset contains the results of the simulation runs of the experiments performed to evaluate and compare the proposed spatial model for situated multi-agent systems. The model was presented in a paper entitled "BioMASS, a spatial model for situated multiagent systems that optimizes neighborhood search". In this paper we present a new model to implement a spatially explicit environment that supports constant-time sensory (neighborhood search) and locomotion functions for situated multiagent systems. In contrast, the...

Urban Semantic 3D Dataset

Foster Kevin & Myron Brown
This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and...

EEG of Genetic Absence Epilepsy Rats (GAERS)

Anna-Sophia Buschhoff
This Dataset contains EEG recordings from epileptic rats. The genetic absence epilepsy rats (GAERS) are one of the best-established rodent models for generalized epilepsy. The rats show seizures with characteristic "spike and wave discharge" EEG patterns. Experiments were performed in accordance with the German law on animal protection and were approved by the Animal Care and Ethics Committee of the University of Kiel.

Breast Invasive Carcinoma

Giovanni Ciriello, Michael L Gatza, Andrew H Beck, Matthew D Wilkerson, Suhn K Rhie , Alessandro Pastore, Hailei Zhang, Michael McLellan, Christina Yau, Cyriac Kandoth, Reanne Bowlby, Hui Shen, Sikander Hayat, Robert Fieldhouse, Susan C Lester, Gary M K Tse, Rachel E Factor, Laura C Collins , Kimberly H Allison , Yunn-Yi Chen, Kristin Jensen , Nicole B Johnson, Steffi Oesterreich , Gordon B Mills , Andrew D Cherniack … & Charles M Perou
Invasive lobular carcinoma (ILC) is the second most prevalent histologic subtype of invasive breast cancer. Here, we comprehensively profiled 817 breast tumors, including 127 ILC, 490 ductal (IDC), and 88 mixed IDC/ILC. Besides E-cadherin loss, the best known ILC genetic hallmark, we identified mutations targeting PTEN, TBX3 and FOXA1 as ILC enriched features. PTEN loss associated with increased AKT phosphorylation, which was highest in ILC among all breast cancer subtypes. Spatially clustered FOXA1 mutations correlated...

Coronavirus (COVID-19) Geo-tagged Tweets Dataset

Rabindra Lamsal
This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs...

Coronavirus (COVID-19) Geo-tagged Tweets Dataset

Rabindra Lamsal
This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs...

Experimental dataset for deep learning based simultaneous measurement of flow-wall dynamics (DL-SFW)

Jun Hong Park & Sang Joon Lee
Several pathological phenomena are closely associated with mechanical properties of vessel and interactions of blood flow–wall dynamics. However, conventional techniques cannot easily measure these features. In this study, new deep learning-based simultaneous measurement of flow–wall dynamics (DL-SFW) is proposed by devising integrated neural network for super-resolved localization and vessel wall segmentation and combining with tissue motion measurement technique and flow velocimetry. The performance of DL-SFW is verified by comparing with conventional techniques for tissue-mimicking phantoms....

Video demo of motion compensated display

Jaijith Radhakrishnan
These are video demo of Motion compensated display. The data set used was captured at 100 samples per second from acclerometer and duration is 40 to 80 seconds. Using the above data, the algorithm has been implemented using MATLAB, and a video of the display is generated with and without compensation. The video results shows significant improvement in user experience. All videos shows left side with compensation and right side mimic what eye would see...

MiniFrance

Javiera Castillo Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert & Sébastien Lefèvre
We introduce a novel large-scale dataset for semi-supervised semantic segmentation in Earth Observation, the MiniFrance suite. MiniFrance has several unprecedented properties: it is large-scale, containing over 2000 very high resolution aerial images, accounting for more than 200 billions samples (pixels); it is varied, covering 16 conurbations in France, with variousclimates, different landscapes, and urban as well as countryside scenes; and it is challenging, considering land use classes with high-level semantics. Nevertheless, the most distinctive quality...

Data set for various metal types

RADHAMADHAB DALAI
The dataset comprises of image file s of size 20 x 20 pixels for various types of metals and non-metal.The data collected has been augmented, scaled and modified to represetn a number a training set dataset.It can be used to detect and identify object type based on material type in the image.In this process both training data set and test data set can be generated from these image files.

Data set for various metal types

RADHAMADHAB DALAI
The dataset comprises of image file s of size 20 x 20 pixels for various types of metals and non-metal.The data collected has been augmented, scaled and modified to represetn a number a training set dataset.It can be used to detect and identify object type based on material type in the image.In this process both training data set and test data set can be generated from these image files.

Data set for various metal types

RADHAMADHAB DALAI
The dataset comprises of image file s of size 20 x 20 pixels for various types of metals and non-metal.The data collected has been augmented, scaled and modified to represent a number a training set dataset.It can be used to detect and identify object type based on material type in the image.In this process both training data set and test data set can be generated from these image files.

Nurse Care Activities Datasets: In laboratory and in real field

Sozo Inoue, Sayeda Shamma Alia & Paula Lago
Nurse Care Activity RecognitionActivity recognition is specially gaining attention in care facilities for remote monitoring of daily activities for elders living alone and automatic record creation for nurses in hospitals with a goal of providing better care to patients. One challenge for these applications is bridging the gap between models created within the lab and models for real life. In this challenge, participants will create methods for recognizing 12 activities conducted by nurses in both...

Urban Semantic 3D Dataset

Kevin Foster, Gordon Christie & Myron Brown
This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and...

Urban Semantic 3D Dataset

Kevin Foster, Gordon Christie & Myron Brown
This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and...

Urban Semantic 3D Dataset

Kevin Foster, Gordon Christie & Myron Brown
This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and...

Electroencephalography measurements during Colemak typing lessons

David Gutiérrez & Mauricio Adolfo Ramírez-Moreno
Ten volunteers were trained through a series of twelve daily lessons to type in a computer using the Colemak keyboard layout. During the fourth-, eight-, and eleventh-session, electroencephalography (EEG) measurements were acquired for the five trials each subject performed in the corresponding lesson. Electrocardiography (ECG) data at each of those trials were acquired as well. The purpose of this experiment is to aim in the development of different methods to assess the process of learning...

Electroencephalography measurements during Colemak typing lessons

David Gutiérrez & Mauricio Adolfo Ramírez-Moreno
Ten volunteers were trained through a series of twelve daily lessons to type in a computer using the Colemak keyboard layout. During the fourth-, eight-, and eleventh-session, electroencephalography (EEG) measurements were acquired for the five trials each subject performed in the corresponding lesson. Electrocardiography (ECG) data at each of those trials were acquired as well. The purpose of this experiment is to aim in the development of different methods to assess the process of learning...

Coronavirus (COVID-19) Geo-tagged Tweets Dataset

Rabindra Lamsal
This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs...

ERA Dataset

Lichao Mou, Yuansheng Hua, Pu Jin & Xiao Xiang Zhu
Along with the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. It is unrealistic for humans to screen such big data and understand their contents. Hence methodological research on the automatic understanding of UAV videos is of paramount importance. In this paper, we introduce a novel problem of event recognition in unconstrained aerial videos in the remote sensing community and present a large-scale, human-annotated dataset, named ERA (Event...

Coronavirus (COVID-19) Geo-tagged Tweets Dataset

Rabindra Lamsal
This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs...

Unified Management Testbed

Ngombo Armando & Ngombo Armando
We took advantage of the prototype to compare the performances of an LwM2M device management protocol implementation and FIWARE’s Ultralight 2.0. In addition to demonstrating the viability of the proposed approach, the obtained results point to mixed advantages/disadvantages of one protocol over the other.

Unified Management Testbed

Ngombo Armando & Ngombo Armando
We took advantage of the prototype to compare the performances of an LwM2M device management protocol implementation and FIWARE’s Ultralight 2.0. In addition to demonstrating the viability of the proposed approach, the obtained results point to mixed advantages/disadvantages of one protocol over the other.

Validation of a Velostat-Based Pressure Sensitive Mat for Center of Pressure Measurements. Dataset.

Javier Martinez-Cesteros
This dataset presents the measurements corresponding to the article "Validation of a Velostat-Based Pressure Sensitive Mat for Center of Pressure Measurements". You will find the data corresponding to an affordable commercial mat, a Velostat-based mat prototype, and a commercial force platform. The results obtained in the above-mentioned article can be reproduced with them. In the article there is a set of experiments involving people standing on these platforms simultaneously and the center-of-pressure (CoP) path was...

Registration Year

  • 2020
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Resource Types

  • Dataset
    7,601