cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dxzf29ttyh.2
title: UW Indoor Scenes (UW-IS) Dataset

description: UW Indoor Scenes (UW-IS) dataset is an RGB dataset for evaluating object recognition performance in multiple, typical indoor environments. The UW-IS dataset consists of indoor scenes taken in two completely different environments. The first environment is a living room scene where objects are placed on a tabletop. The second environment is a mock warehouse setup where objects are placed on a shelf. We select a fixed set of fourteen different objects from the benchmark Yale-CMU-Berkeley (YCB) object and model set for our dataset. For the living room environment, we have a total of 347 scene images. The images are taken in four different illumination settings from three different camera perspectives and varying distances up to two meters. Sixteen out of the 347 scene images are with two different objects, 135 images are with three different objects, 156 images are with four different objects, and 40 images are with five different objects. For the mock warehouse environment, we have a total of 200 scene images taken from distances up to 1.6 meters. Sixty out of 200 images are images with three different objects, 68 images with four different objects, and 72 images are with five different objects.
DOI: 10.17632/f5p4h32p46.2
title: Multi-modality deep learning model reaches high prediction accuracy in the diagnosis of ovarian cancer diagnosis

description: This code supports the article "Multi-modality deep learning model reaches high prediction accuracy in the diagnosis of ovarian cancer diagnosis" .The weights are also be included.
DOI: 10.17632/jmcdmnyh2s.1
title: Kenya Nairobi Securities Exchange (NSE) All Stocks Prices 2022

description: This compilation of historical daily stock market price data relates to the Kenyan Nairobi Securities Exchange (NSE) for year 2022 (Jan-May).  This data is valuable for any machine learning algorithm that needs data (training, validation, testing).  This compilation develops on an earlier dataset (2008-2012) that was initially compiled as part of a research project to predict next day stock price, based on the previous five days, using Artificial Neural Networks (ANN). This initial research [1],[2] tested 6 stocks [3] using ANN of configuration 5:21:21:1. The data was then enhanced as a new compilation of all stocks for the period 2007-2012 [4].

This new dataset augments the NSE dataset for 2007-2012 [4], 2013 to 2020 [5] and that for 2021 [6].  The method of data compilation has remained as done for all the other datasets by scrapping from a publicly accessible website [7] licensed by NSE. The processing involves exporting the raw web data to spreadsheets, then cleaning up by removal of unnecessary data elements such as HTML tags and other graphics that cannot be converted to text.

Just like the previous compilations, each stock data row has the following 13 data columns (1) Date (2) Stock Code (3) Stock Name (4) 12-month Low price (5) 12-month High price (6) Day's Low price (7) Day's High price (8) Day's Final Price (9) Previous traded price (10) Change in price value (11) Change in price % (12) Volume traded (13) Adjusted price.  One additional CSV file is also provided to show market sector that each stock belongs to. The 3 column headings for this additional CSV are: (1) Market sector (2) Stock Code (3) Stock Name.

This additional dataset provides researchers with an even larger dataset (2007-2022) of stocks market data including market sector information for bigger opportunities of data analysis and usage in machine learning research.

List of data files on this dataset: 
NSE_data_all_stocks_2022_jan_to_may.csv 
NSE_data_stock_market_sectors_2022.csv

References: 
[1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). 
[2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. 
[3] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, http://dx.doi.org/10.17632/95fb84nzcd.3 
[4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, http://dx.doi.org/10.17632/5hk4zw32f5.1 
[5] Wanjawa, Barack (2021), “Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020”, Mendeley Data, V2, doi: 10.17632/73rb78pmzw.2 
[6] Wanjawa, Barack (2022), “Nairobi Securities Exchange (NSE) Kenya - All Stocks Prices 2021”, Mendeley Data, V5, doi: 10.17632/97hkwn5y3x.5
[7] Synergy Systems Ltd. (2020). MyStocks. Retrieved May 31, 2022, from http://live.mystocks.co.ke/
DOI: 10.17632/jxwdf9mgzv.1
title: Conductive material Gel@Ti3C2/MT regulates the PI3K/AKT/HIF-1α/TIMP1 pathway affecting MT1 for inhibiting osteosarcoma

description: Research datasets
DOI: 10.17632/2sjt22sb55.1
title: Dataset for twitter Sentiment Analysis using Roberta and Vader

description: Our dataset comprises 1000 tweets, which were taken from Twitter using the Python programming language. The dataset was stored in a CSV file and generated using various modules. The random module was used to generate random IDs and text, while the faker module was used to generate random user names and dates. Additionally, the textblob module was used to assign a random sentiment to each tweet.

This systematic approach ensures that the dataset is well-balanced and represents different types of tweets, user behavior, and sentiment. It is essential to have a balanced dataset to ensure that the analysis and visualization of the dataset are accurate and reliable. By generating tweets with a range of sentiments, we have created a diverse dataset that can be used to analyze and visualize sentiment trends and patterns.

In addition to generating the tweets, we have also prepared a visual representation of the data sets. This visualization provides an overview of the key features of the dataset, such as the frequency distribution of the different sentiment categories, the distribution of tweets over time, and the user names associated with the tweets. This visualization will aid in the initial exploration of the dataset and enable us to identify any patterns or trends that may be present.
DOI: 10.17632/73ccz593dc.2
title: LITERATURE REVIEW - BEHAVIORAL ANALYSIS OF CULTURE IN BRAZIL

description: This dataset shows articles, dissertations, and theses published by Brazilian psychology graduate programs, on Behavioral Analysis of Culture in the period of 1987 to 2020.
DOI: 10.17632/f6m5kwf489.1
title: CUZU-PVC dataset

description: We report an annotation table for premature ventricular contractions (PVCs) in a CUZU-PVC dataset. The CUZU-PVC set consists of 655 12-channel ECG recordings selected from the Chapman University and Ningbo First Hospital of Zhejiang University dataset [1]. Files published here are named as in [1] and signal rhythms are available in the corresponding annotation table. It includes all 301 recordings labelled to contain PVCs and 354 recordings labelled not to contain PVCs. CUZU-PVC signals have the following heart rhythms: sinus rhythm, atrial fibrillation, sinus tachycardia, sinus bradycardia, atrial tachycardia, atrial flutter and atrioventricular node reentrant tachycardia. Our medical team composed of four cardiologists (three of them electrophysiologists) have annotated positions of R points and PVCs in the whole dataset. This resulted in 614 PVC beats annotated in 279 signals.

[1] Zheng, J., Fu, G., Anderson, K., Chu, H., and Rakovski, C., A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients. Sci. Data, 7(1), 98, 2020, doi: 10.1038/s41597-020-0440-8
DOI: 10.17632/rd8c7fjrs8.2
title: Dataset of well-known Thai cannabis plants

description: Cannabis Classes in Thailand are well recognized. In order to be useful for researchers or interested people, Plants of 8 Thai cannabis classes are shared in this data set. The pictures of data set are plants of cannabis.
DOI: 10.17632/pxmkmck7jh.2
title: European Air Traffic dataset

description: Air traffic flow data to/from airports of 35 European countries in monthly, quarterly and annual time-series.
DOI: 10.17632/jks43dkjj7.1
title: Data for: Binary Tree-like Network with Two-path Fusion Attention Feature for Cervical Cell Nucleus Segmentation
DOI: 10.17632/mkdw5wnkgf.1
title: Data for: A New Salvage Regimen for Aggressive Lymphomas Based on Gemcitabine, Rituximab, and Oxaliplatin followed by Lenalidomide (GROC-Rev)

description: No optimal salvage therapy for relapsed/refractory aggressive histological types of non-Hodgkin lymphoma exists. We explored a combination of single-agent lenalidomide following gemcitabine, rituximab, oxaliplatin combination (“GROC-Rev”) in 33 patients. We observed a response rate of 61% (39% complete response rate) and 3-year overall survival of 47%, superior to previous experience. GROC-Rev is a new salvage regimen with encouraging results.
DOI: 10.17632/7b52hhzs3r.1
title: Dataset containing smoking and not-smoking images (smoker vs non-smoker)

description: The dataset contains a total of 2400 raw images, where 1200 images are of smoking (smokers) category and remaining 1200 images belong to no-smoking (non-smokers) category. The dataset is curated by scanning through various search engines by entering multiple keywords that include cigarette smoking, smoker, person, coughing, taking inhaler, person on the phone, drinking water etc. We tried to consider versatile images in both classes for creating a certain degree of inter-class confusion in order to better train the model. For instance, smoking category consists of images of smokers from multiple angles and various gestures. Moreover, the images in not-smoking category contains images of non-smokers with slightly similar gestures as that of smoking images such as people drinking water, using inhaler, holding the mobile phone, biting nails etc. The dataset can be used by the prospective researchers to propose machine learning algorithms for automated detection and screening of smoker towards ensuring the green environment and performing surveillance in smart cities.
DOI: 10.17632/h5ynspf336.1
title: Scanning Electron Microscope micrographs of broken crystals and related textures in support of: Fracturing and healing of basaltic magmas during explosive volcanic eruptions

description: A single PDF file includes 317 microphotographs detailing pyroclast textures related to the fracturing and healing of basaltic magmas in explosive volcanic eruptions and in fragmentation experiments.
DOI: 10.17632/jcj9j7b4bd.1
title: Data for: Video gaming and working memory: a large-scale cross-sectional correlative study

description: Data file for Video gaming and working memory: a large-scale cross-sectional correlative study
DOI: 10.17632/x22y4s9fks.1
title: DGA results for 25 transformers

description: Table shows the results of dissolved gas analyses (DGA) for 25 transformers. These results were obtained by the authors in co-operation with electrical laboratories and energy companies in Ukraine. The table shows values for five gases (H2, CH4, C2H6, C2H4, C2H2; in ppm), as well as the identified fault type.
DOI: 10.17632/dbjdw87bxb.1
title: A Multilevel Production Scheduling Method in Cloud-Edge Collaborative Environment

description: dataset about  Cloud-Edge Collaborative Environment
DOI: 10.17632/5c65gwwhpt.1
title: Heart Failure Patients with Reduced Ejection Fraction. Two articles describes ISMETT experience

description: Raw data for the articles: 1] Additive Value of Biomarkers and Echocardiography to Stratify the Risk of Death in Heart Failure Patients with Reduced Ejection Fraction. 2] NT-ProBNP and hsTnI: A Multistate Survival Analysis in Outpatients with Reduced Left-Ventricular Ejection Fraction.
DOI: 10.17632/tnj49gpmtz.2
title: Samples of electronic invoices

description: Electronic invoices have become the product of the information age, increasing their utility on the nowadays market. Looking at real electronic invoices across the globe, we have come up with sufficient placement of the information. Each detail has been generated in a programmable way using Python programs. Billing information is minimalistic to omit or lower the chance of fraud detection. The process of collecting each product has been achieved by scrapping popular online marketplaces. As a result, categorized groups have been created to imitate a manner of the persona. The direction of the potential reusability is heading towards becoming an input of the machine learning fraud detection algorithms or data extraction mechanisms. Datasets presents 1000 samples each of auto-generated invoices containing: - valid information. - valid information with colored iban background. RGB color of a background varies between (255,255,240) to (255,255,254). - valid information with modified space between iban characters. Charspace coefficient varies between 0.001 to 1. Both ends of a special invoice modifier represents a domain from detectable to non-detectable factor by a human eye. Nomenclature: invoice_(_charspace_)(_color_B_).pdf
DOI: 10.17632/hfw4bn226x
title: Appendix A. Included publications for JCP.R1

description: Appendix A. Included publications for JCP.R1
DOI: 10.17632/nv7jbmkynm.3
title: Dataset of Drought and Flood Impact on Croplands in Southeast Asia between 1980 to 2019

description: Droughts and floods have been intensified in recent years and adversely affected agriculture sectors, but only a handful of studies exist to assess their impacts on croplands and production. The purpose of our dataset is to help researchers and scientists to access the temporal climate data geographically and assess the climate change and its impact on croplands in the Monsoon Climate Region (MCR) and Equatorial Climate Region (ECR) of Southeast Asia (SEA) during the crop growing seasons over 40 years period. Here, we used TerraClimate global high-resolution gridded Palmer Drought Severity Index (PDSI) datasets in Google Earth Engine and assessed the droughts and floods and their impacts on rainfed croplands and crop production in SEA. The Global Food Security-support Analysis cropland data in the GEE was used to assess drought damages on rainfed croplands and crop production. We created over 47,192 grid points geographically with a 10 × 10-kilometer resolution, in order to calculate the drought and flood impact on rainfed croplands during the primary crop-growing seasons in the MCR and ECR of SEA. In this data tree datasets were including, two raw data and Geographic Information System (GIS) shapefile data. The first raw dataset folder contains monthly temporal Palmar drought Severity index (PDSI) by country between 1980 to 2019, while the second raw gridded point dataset covers average drought frequencies by 10 km × 10 km geographically in MCR (Myanmar, Thailand, Lao PDR, Cambodia, and Vietnam) and ECR (Malaysia, Singapore, Indonesia, the Philippines, and Brunei Darussalam) regions with five years interval between 1980 to 2019 . The third data in GIS Shapefile format (GIS data folder) comprehends drought and their severities levels on rainfed croplands by country in SEA in 2010. The maps data in Maps folder which represents severity classes of drought and wet conditions (floods) impact on rainfed croplands, and the level of need for policy interventions by country in the MCR and ECR countries in SEA .
DOI: 10.17632/39bdkwbgmj.1
title: Dataset: Cognitive Workload Analysis in Enterprise Resource Planning

description: This dataset is dedicated to the analysis of Enterprise Resource Planning (ERP) systems, providing comprehensive insights into various aspects crucial for understanding their functionality and effectiveness in organizational contexts.
 
Key parameters included in the dataset:
Psychological Efforts: Indicates the level of psychological effort required to complete tasks within the ERP system, ranging from low to high complexity.
Physical Efforts: Reflects the level of physical exertion necessary to perform tasks within the ERP system, ranging from minimal to highly demanding.
Time Pressure: Represents the degree of time pressure experienced by users while working within the ERP system, ranging from low to high urgency.
Task Completion: Measures the level of success in completing tasks within the ERP system as per organizational expectations, ranging from satisfactory to poor outcomes.
Workload: Assesses the amount of effort required to complete tasks within the ERP system, ranging from low to high workload.
User Stress Level: Indicates the level of stress or relaxation experienced by users while working within the ERP system, ranging from minimal stress to high levels of frustration.
DOI: 10.17632/fkwr8mzndr.1
title: MIGOU-MOD: A dataset of modulated radio signals acquired with MIGOU, a low-power IoT experimental platform

description: This dataset is provided as supplementary material of the work entitled "Gated Recurrent Unit Neural Networks for Automatic Modulation Classification with Resource-Constrained End-Devices", published in IEEE Access Journal. This dataset includes over-the-air measurements of real radio signals modulated with 11 different modulations. These signals were generated by a transmitter formed by a USRP B210 connected to a computer with GNU Radio. In order to implement the different transmitters, we used the source code and same data sources with which RadioML2016.10a was generated. It should be noted that an error with AM modulations, solved in later versions of the RadioML dataset, was also corrected for our dataset generation. On the receiver side, we used the MIGOU platform to record the signals. This is a low-power experimental platform with Software-Defined Radio (SDR) capabilities that has been specifically designed to address the hardware architectural constraints that limit Cognitive Radio (CR) research and experimentation with low-power end-devices. This platform was configured to sense a communication channel and send the raw I/Q samples to a computer that properly stores them. All measurements were carried out indoors, in an office environment. Specifically, measurements were taken at two distances from the transmitter, 1 and 6 meters, which corresponds to average Signal-to-Noise Ratios (SNRs) of 37 dB and 22 dB respectively. All these recorded I/Q signals were divided and formatted into 128×2 vectors, which were individually normalized. Finally, 400,000 normalized vectors were included for each modulation-SNR (MOD-SNR) pair in the dataset, resulting in a total of 8.8 million vectors. For more details of the configuration parameters, the normalization method and the materials used, please refer to the work mentioned in the first paragraph.
DOI: 10.17632/tpvptsck7r.1
title: A protocol for imaging calcium and chloride in C. elegans glia upon touch stimulation

description: Supplementary files belonging to the STAR Protocol's publication titled "A protocol for imaging calcium and chloride in C. elegans glia upon touch stimulation"
DOI: 10.17632/j5sv7thsx3.1
title: Data for: Mapping energy consumption in food manufacturing

description: Appendices describing energy demand during food processing and transportation. Associated with the Trends in Food Science and Technology submission entitled "Mapping energy consumption in the food industry".
DOI: 10.17632/mhynrhktv4.1
title: A New Family of Vertebrate-Specific Polycombs Encoded by the LCOR/LCORL Genes Balance PRC2 Subtype Activities.
DOI: 10.17632/7k8f9thbjh.1
title: Mongolian pine

description: growth parameter and sampling of Mongolian pine
DOI: 10.17632/y42z64zf3w.1
title: A new Fortran 90 program to compute regular and irregular associated Legendre functions

description: Abstract We present a modern Fortran 90 code to compute the regular Plm(x) and irregular Qlm(x) associated Legendre functions for all x∈(-1,+1) (on the cut) and |x|&gt;1 and integer degree (l) and order (m). The code applies either forward or backward recursion in (l) and (m) in the stable direction, starting with analytically known values for forward recursion and considering both a Wronskian based and a modified Miller's method for backward recursion. While some Fortran 77 codes existed for computing t... Title of program: Associated Legendre Functions Catalogue Id: AEHE_v1_0 Nature of problem Compute the regular and irregular associated Legendre functions for integer values of the degree and order and for all real arguments. The computation of the interaction of two electrons, 1/|r1 - r2|, in prolate spheroidal coordinates is used as one example where these functions are required for all values of the argument and we are able to easily compare the series expansion in associated Legendre functions and the exact value. Versions of this program held in the CPC repository in Mendeley Data AEHE_v1_0; Associated Legendre Functions; 10.1016/j.cpc.2010.08.038 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/zsph6gvccz.1
title: Multi-View Visible-Thermal images for Human Pose Estimation

description: This dataset consists of paired visible-thermal images recorded by a device containing a visible spectrum camera and a thermal vision sensor. In the scene, there are three devices, and they are synchronized, so the images are taken from these devices in a simultaneous way. 
The dataset is divided in train_val and test. Inside each folder, there are three subfolders: 00_15, 00_16 and 00_17. Each folder determines a device and contains the images from the subsequent device. Visible spectrum images have the termination "_rgb.png", while thermal images "_thermal.png". 
The index before the terminations indicates the timestamp when the images were recorded.
DOI: 10.17632/x53svykskv.1
title: Raw Data: Analytical and Computational Modeling in Entrepreneurship Research

description: The systematic application of quantitative and analytical systems in business research has changed many decision-making processes within several businesses worldwide. the raw data is open
DOI: 10.17632/x9mv4krnm2.1
title: US SUHI database

description: This dataset contains urban and rural LST, DEM, and NDVI data for annual, summer, and winter daytime and nighttime for all census tracts in US urbanized areas, as well as the mean values for the entire urbanized area. METADATA DEM: Digital Elevation Model NDVI: Normalized Difference Vegetation Index LST: Land Surface Temperature _urb: Urban values (all urban pixels within urbanized areas) _rur: Rural reference (Spatial mean of the non-urban, non-water pixels within the region of interest) Regions of Interest: _CT: Spatial mean of pixels intersecting the Census Tract clipped to the urbanized area (one value per census tract). This should be equal to the _CT for census tracts that are completely within the urbanized areas (the census tracts with the green dots in the image below) _all: Spatial mean of all pixels intersecting the urbanized area, as defined by the US census (one value for one urbanized area) _CT_act: Spatial mean of all available pixels intersecting the Census Tract (one value per census tract) [This should be equal to the previous values I calculated] For the UHI: The ideal configuration is LST_urb_all-LST_rur_all for the entire urbanized area (from the US_Urbanized file) and LST_urb_CT_act-LST_rur_all for individual census tracts within the urbanized areas (from the census file) For the equity analysis: Either _CT or CT_act can be used if we are only concerned with spatial variation. Using CT_act leads to mismatch between census data for the tracts crossing the urban boundary and the remotely sensed data. Using _CT leads to mismatch between the UHI analysis and the equity analysis.
DOI: 10.17632/dfz9jzf8yr.1
title: Dataset of analysis of drinking water samples and surveys in four Colombian rural communities

description: - Physicochemical and microbiological characterization of water samples for human consumption in households located in Colombian rural area. 
 - Results of surveys applied in households.