*.csv
The dataset consists of uplink channel gains, downlink channel gains and uplink to downlink channel gains along with corresponding power allocations for uplink users and downlink users across all subcarriers. Additionally, it consists of NOMA decoding order for successful implementation of SIC at NOMA receiver. The number of UL users and DL users are considered as N=M=6, and subcarriers are S=9. Each column in the dataset is a sample for fading channel realization and it should be converted back to the matrix to compute sumrate.
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A modern Wi-Fi-enabled device (e.g., a smartphone) can spontaneously emit unencrypted and anonymized signals to the environment in search of an access point. This signal is called a probe request. Since it is freely available in the open air, one can build a sensor from a Wi-Fi adapter to capture the signal. Once captured, its signal strength can be measured in the form of a Received Signal Strength Indicator (RSSI).
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This dataset is a network representation of authors linked to the publications they have authored or co-authored, collected from OpenAlex.org using the free, open-source tool available at https://openalex4nodexl.netlify.app/. It is provided as a CSV flat file, formatted for use with NodeXL, a popular tool for social network analysis.
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The SINEW (Sensors in Home for Elderly Wellbeing) dataset consists of 15 high-level biomarker features, derived from raw sensor readings collected by in-home sensors used for predictive modeling research: SINEW Weekly Biomarker.
This dataset was collected for a study focused on the early detection of mild cognitive impairment, providing an opportunity for timely intervention before it progresses to Alzheimer's disease.
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The SINEW (Sensors in Home for Elderly Wellbeing) dataset consists of 15 high-level biomarker features, derived from raw sensor readings collected by in-home sensors used for predictive modeling research: SINEW 15 - Monthly Biomarker.
This dataset was collected for a study focused on the early detection of mild cognitive impairment, providing an opportunity for timely intervention before it progresses to Alzheimer's disease.
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# Top 100 YouTube Channels Dataset
## Overview
This dataset provides comprehensive information about the top 100 YouTube channels based on subscriber count. It offers valuable insights into the most popular content creators on the platform, their performance metrics, and channel details.
## Dataset Contents
The dataset includes the following information for each channel:
- Channel ID
- Title
- Custom URL
- Subscriber Count
- Video Count
- View Count
- Category
- Country
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Each HistDataX.csv file refers to a set of historical data.
Each column refers to an attribute, including:
Driving distance (km),
Vehicle speed (km/h),
Motor output power (W),
Acceleration padel position (%),
Traffic status (0, 1, 2,…, 4; the bigger, the heavier),
Traffic jam direction (-1 opposite direction, 0 unknown, 1 same direction),
Traffic flow speed (km/h).
The sample rate is 10 Hz.
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We gathered a total of 1,515 news articles concerning suicide, building jumps, and related incidents from 2019 to 2024. Utilizing sentiment analysis tools, we categorized the data into two groups: positive sentiment words and negative sentiment words. Our primary objective was to examine the relationship between negative sentiment words and other associated terms.
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This data ia small sample set from the purchase order data catalog of state of california publicaly available at https://catalog.data.gov/dataset/purchase-order-data. From this source, we take a sample of 50,000 entries. The data provides comprehensive details about various purchase orders issued during this period. The dataset comprises 32 columns, capturing information about each purchase order. This dataset is rich in information and provides a valuable resource for item UNSPSC categorization.
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Sea-rail intermodal transportation is an essential infrastructure in global supply chains nowadays. Since the yard is the interface between sea and land, optimizing the transportation process in yards is of significant interest for increasing transportation efficiency.
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