This dataset contains the database of the transport block (TB) configurations .

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   The Incheon dataset has been measured from a 24-hour experiment from July 5, 2017 (Starting Time:1438 (HM), to July 6, 2017 (Ending Time: 1458 (HM). The experiment has been carried out over a 2 km distance between the Tx and Rx in the Yellow Sea (Deokjeokdo,Incheon).

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The raw data are collected from the websites of EPD (Environmental Protection Department, Hong Kong) and HKO (Hong Kong Observatory). Marine water quality data is provided by EPD and climatological data is provided by HKO. The data is interpolated by SAS “proc expand” and aligned to the beginning of each month.

 

The raw data used to produce this dataset are extracted from the following URL.

Instructions: 

The marine water samples are taken from 76 stations which are located in 10 water control zones. The water quality can be measured in 3 different water depths, namely ‘Surface’, Middle’ and Bottom’.

The columns of the water quality data are named in the format of “Zone + Station + Water depth +Water quality Parameter”. For example, the column “Zone1_TM2_Bot_VSSolids” contains the Volatile Suspended Solids data (mg/L) of the bottom-level water at the TM2 station, which is located in Zone 1.

 

The list of water quality parameters and Climatological parameters are tabulated below.

 

Water quality parameters

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5-day Biochemical Oxygen Demand (mg/L)

Silica (mg/L)

Chlorophyll-a μg/L

pH

Temperature (C)

E. coli (cfu/100mL)

Faecal Coliforms (cfu/100mL)

Total Phosphorus (mg/L)

Orthophosphate Phosphorus (mg/L)

Volatile Suspended Solids (mg/L)

Phaeo-pigments (μg/L)

Suspended Solids (mg/L)

Dissolved Oxygen Saturation (%)

Dissolved Oxygen (mg/L)

Salinity (psu)

Secchi Disc Depth (M)

Nitrite Nitrogen (mg/L)

Nitrate Nitrogen (mg/L)

Ammonia Nitrogen (mg/L)

Total Nitrogen (mg/L)

Total Kjeldahl Nitrogen (mg/L)

Total Inorganic Nitrogen (mg/L)

Turbidity (NTU)

Unionized Ammonia (mg/L)

 

 

Climatological Parameters

--------------------

Mean Temp

Max Temp

Min Temp

Pressure

Dew Point Temp

Wet Bulb Temp

Mean Relative Humidity

Mean Amount Cloud

Rainfall

Grass Minimun Temperature

Bright Sunshine

Global Solar Radiation

Evaporation

Prevailing Wind Direction

Wind Speed

Sea Temperature

Reduced Visibility

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This dataset contains the execution time of running a total of 3000 functions scattered evenly to three regions: AWS Frankfurt, IBM Frankfurt and IBM Tokyo from University of Innsbruck.

Each execution is repeated three times.

Instructions: 

This dataset contains the execution time of running a total of 3000 functions scattered evenly to three regions: AWS Frankfurt, IBM Frankfurt and IBM Tokyo from University of Innsbruck.

The results show how scalable is the execution of no-op function. While the curve of AWS is almost linear starting from 0, IBM curves have a huge jump and then huge period is stable (horizontal).

 

The dataset (excel document) containst four sheets, one for each region and one for summary, including the diagram. 

 

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This data set is related to the figures from the paper titled "Nanofabricated Low-Voltage Gated Si Field Ionization Arrays" by Girish Rughoobur, Alvaro Sahagun, Olusoji Ilori and Akintunde I. Akinwande.

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We investigate the naïve idea of adults relating to two opposite processes shown by means of iconic stimuli. 

 

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This file contains the experimental results for the research paper "Optimization-Based Offloading and Routing Strategies for Sensor-Enabled Video Surveillance Networks". Just open the excel file! then you can view the data.

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This dataset is a collection of brainwave EEG signals from eight subjects. The data is collected in a lab controlled environment under a specific visualization experiment. 

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A simple dataset that gives the processing cost (in cycles) for verifying multiple messages signed with ECDSA and implicitly certified public keys. It considers two implicit certification models: ECQV and SIMPL. 

 

This dataset is used in article "Schnorr-based implicit certification: improving the security and efficiency of vehicular communications", submitted to IEEE Transactions on Computers. Namely, it is used as basis for building that article's Figure 2.

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This dataset includes two kinds of dust experiment data.

(1)    blackbody furnace experiment data

(2)    water cup experiment data

The two experiments were carried out in a lab by using blackbody furnace, infrared thermal imager and dust. The specific parameter can be found in the data file.

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