Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of Millet vegetation on path-loss between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)". This database contains received signal strength measurements collected through campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for millet crop monitoring from period 03/06/2020 to 04/10/2020.


Cartesian multipole moments in HFSS 



This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 anonymized unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).


This dataset contains requests execution times for comparison of direct requests and requests via API gateway to test API.


Radio-frequency noise mapping data collected from Downtown, Back Bay and North End neighborhoods within Boston, MA, USA in 2018 and 2019.


Data consist of :
* distance, in meters, along the measurement path. This field is likely not useful for anyone other than the authors, but is included here for completeness.
* geographic location of the measurement, in decimal degrees, WGS84
* median external radio-frequency noise power, measured in a 1 MHz bandwidth about a center frequency of 142.0 MHz, in dBm
* peak external radio-frequency noise power, also measured in a 1 MHz bandwidth about a center frequency of 142.0 MHz, in dBm. Here, peak power is defined as the threshold where 99.99% of the data lie below this value.
* for North End and Back Bay datasets, the official zoning district containing the measurement location is included. Measurements in the Downtown data were all collected within Business and Mixed Use zoning districts, and thus are not listed.


Wide area control (WAC) in smart grid requires low-latency communications across the grid to transfer various control commands and Phasor Measurement Unit (PMU) measurements. Smart grid communications are generally implemented between multiple control centers, transformer substations and control centers, and power plants and control centers.


The diversity of video delivery pipeline poses a grand challenge to the evaluation of adaptive bitrate (ABR) streaming algorithms and objective quality-of-experience (QoE) models.

Here we introduce so-far the largest subject-rated database of its kind, namely WaterlooSQoE-IV, consisting of 1350 adaptive streaming videos created from diverse source contents, video encoders, network traces, ABR algorithms, and viewing devices.

We collect human opinions for each video with a series of carefully designed subjective experiments.


The Waterloo Quality-of-Experience IV database consists of 1,350 streaming videos (generated from 5 source videos x 2 encoders x 9 network traces x 5 ABR algorithms x 3 viewing devices). The 5 ABR algorithms include RB, BB, FastMPC, Pensieve, and RDOS.

The contains all meta data such as chunk level bitrate, rebuffering duration, spatial resolution, and MOS.

The contains the dash videos on the server.

The contains all the streaming videos in mp4.


This Dataset includes the lsit of articles indexed by Google Scholar from 2003-2019, realted to: Edge Computing, Fog Computing, Multi-Access Edge Computing, Mobile Cloud Computing.

The data has been cleaned by removing duplicates, non-english articles, un-realted articles (i.e. computing edges in a picture is not about Edge Computing) and articles that weren't directly or easily accessable.


This is a simple CSV file. Import it into your favorite spreasdsheet or text editor.