cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/k5yk4j8z8s.6
title: BDSL 49: A Comprehensive Dataset of Bengali Sign Language

description: This dataset contains images of Bengali sign language.  This collection of images represents the Bengali sign language. 14 Bangladeshi adults created and annotated the dataset. The existing Bengali sign language datasets lack adequate and diverse image samples to develop real-life expert systems. As a result, a dataset encompassing all facets of real-world usable signs is necessary. This results in the creation of a comprehensive dataset for Bengali sign language. The proposed dataset contains two sections. The first section involves training a detection model, while the second involves training a recognition model. Both sections feature a wide variety of images taken in a variety of backgrounds and lighting circumstances, with the first section featuring a full-frame image with annotation and the second featuring a cropped image with only the signs. Each section contains 14,714 images separated into 49 classes, for a total of 29,428 images in the dataset.
DOI: 10.17632/h489xpc53b.2
title: Leveraging Azure Automated Machine Learning and CatBoost Gradient Boosting Algorithm for Service Quality Prediction in Hospitality: Dataset from the Indian Hotel Industry

description: The present study endeavours to ascertain whether all the dimensions of SERVQUAL carry equal weight in terms of their impact on overall service quality. Questions were framed to measure each of the dimensions of SERVQUAL with different predictor variables: gender, age, marital status, highest level of education, and frequency of staying at the hotel. Machine learning models are used to find the importance of each feature against a dimension. Comparative modeling of feature importance was done using the CatBoost gradient boosting technique and Microsoft Azure Automated Machine Learning studio. The result confirmed an excellent similarity between CatBoost's drawn feature importance and those obtained from Azure auto ML studio. The results of the investigation enable decision-makers to determine which dimension is dependent on specific predictors, allowing them to focus on targeted improvements.
DOI: 10.17632/shwpxscxy2.2
title: PhiUSIIL Phishing URL Dataset

description: PhiUSIIL Phishing URL Dataset is a substantial dataset comprising 134,850 legitimate and 100,945 phishing URLs. Most of the URLs we analyzed while constructing the dataset are the latest URLs. Features are extracted from the source code of the webpage and URL. Features such as CharContinuationRate, URLTitleMatchScore, URLCharProb, and TLDLegitimateProb are derived from existing features. Citation: Prasad, A., & Chandra, S. (2023). PhiUSIIL: A diverse security profile empowered phishing URL detection framework based on similarity index and incremental learning. Computers & Security, 103545. doi: https://doi.org/10.1016/j.cose.2023.103545
DOI: 10.17632/tr8y477g8y.1
title: Replication package for Are Cryptos Different? Evidence from Retail Trading.

description: Replication package for Are Cryptos Different? Evidence from Retail Trading. Please read Replication README for detailed instructions.
DOI: 10.17632/mz5xbf8b92.1
title: Data for: An Ontology-Driven Clinical Decision Support System (IDDAP) for Infectious Disease Diagnosis and Antibiotics Prescription

description: S1. antibiotic_change_IRI.owl. A domain ontology containing 1,267,004 classes, 7,608,725 axioms, and 1,266,993 members of ‘SubClassOf” that pertain to infectious diseases, bacteria, syndromes, anti-bacterial drugs and other relevant components was constructed. The ontology is stored in an OWL format file and can be opened as a text file.
DOI: 10.17632/gy9zbjg5fc.1
title: Dataset for the systematic mapping study 'Management of quality requirements in agile and rapid software development: A systematic mapping study' https://doi.org/10.1016/j.infsof.2019.106225

description: The data-set includes list of the primary studies and different classifications and mappings reported in the systematic mapping study, Management of quality requirements in agile and rapid software development: A systematic mapping study. Behutiye, W., Karhapää, P., Lopez, L., Burgués, X., Martínez-Fernández, S., Vollmer, A. M., ... & Oivo, M. (2019). Management of quality requirements in agile and rapid software development: a systematic mapping study. Information and Software Technology. 106225. https://doi.org/10.1016/j.infsof.2019.106225 The dataset includes four excel files that describe the findings and classifications reported in the study as follows. - Primary studies and classification.xlsx Present the list of 156 primary studies and the result of their classification by research method, author affiliation, venue , publication year and contexts -ICB domain classification.xlsx Presents the ICB domain classification of the domains reported in the primary studies - Distribution of quality requirement types.xlsx Presents the result of the distribution of quality requirement types reported in the study - Mapping QR management strategies to challenges.xlsx Presents the mapping of the Quality requirement management strategies to challenges reported in the study
DOI: 10.17632/twxp8xccsw.6
title: Ground Truth of Power Line Dataset (Infrared-IR and Visible Light-VL)

description: Despite a relatively crowded literature about detection of power lines for aircraft safety, the works are mostly optimized with very few training images; some even use artificially generated images. The IR imaging case is even less utilized. The reason is clearly the tremendous workload to obtain real images. With this demand in mind, the authors cooperated with the Turkish Electricity Transmission Company (TEIAS) to obtain video captures from actual aircraft. Later, the authors made a thorough inspection over the video frames to isolate, capture and clean thousands of valuable images. In this content, 200 IR and 200 VL images are acquired and scaled to a size of 512x512. The IR folder contains IR images with power line, ground truths and overlay images of these images. The VL folder contains VL images with power line, ground truths and overlay images of these images. The IR and VL groups were deliberately constructed to contain both regular and especially confusing scenes. "TY" shows that there are no power lines in the images. "TV" shows that there are power lines in the images. The videos were captured from 21 different regions all over Turkey at different seasonal days. Due to varying background behavior, varying temperatures and weather conditions, and varying lighting conditions, the achieved positive set contains several difficult scenes where low contrast causes close to invisibility for power lines. The original video resolutions were 576x325 for IR and full HD for VL, however, the captured frames were scaled down to smaller sizes and the effect of resizing was tested for various image sizes. An image size of 512x512 is sufficient for a consistently accurate power line detection The program developed by Assistant Professor Cihan Topal from Anadolu University Electrical and Electronics Department was used to draw ground truths.
DOI: 10.17632/9p3m5vgsyf.2
title: Pseudo data for "Corporate responses to stock price fragility"

description: Replication files and pseudo data for Friberg, Golstein and Hankins, 2024, "Corporate responses to stock price fragility", Journal of Financial Economics
DOI: 10.17632/bk8s9dfsys.1
title: Polynomial Dataset: Exploring Curves and Trends

description: he polynomial dataset comprises a collection of data points generated from polynomial functions. These functions are represented without a specific formula but are typically characterized by their degree, indicating the highest power of the variable present in the function. Each data point consists of an input variable (often denoted as x) and its corresponding output value (f(x)), which is calculated based on the polynomial function. This dataset plays a pivotal role in various domains such as machine learning, statistics, and mathematics. Researchers, educators, and practitioners utilize this dataset for tasks like curve fitting, regression analysis, and assessing the efficacy of mathematical algorithms. Its versatility allows for exploration and application of polynomial functions across diverse fields.
DOI: 10.17632/zkv2dfhvj3.1
title: Phenomenological Exploration of Separation in Couples Amidst Covid-19 Pandemic 

description: These are the original interview transcripts of couples who experienced being separated from their spouse and family during the Covid-19 pandemic when national borders were closed, and strict restriction of movement control order was implemented.
DOI: 10.17632/vxkj334rzv.1
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 1

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).
DOI: 10.17632/wpr5nzyn2z.1
title: Cardially - ECG waveform dataset for predicting defibrillation outcome in out-of-hospital cardiac arrested patients
DOI: 10.17632/5pp7tpvrwc.1
title: A Preliminary Investigation into Teaching Adolescents with Autism to Use Apps to Solve Problems

description: Technology offers exciting possibilities for instruction with learners with autism spectrum disorder (ASD), and limited research has evaluated the use of web-based applications (apps) as learning tools for this population. We taught two adolescents with ASD to use map, weather, and clock apps to answer questions about distance, temperature, and time on a worksheet (e.g., “What time is it in Cairo?”). The cities in these questions always varied to ensure the answers were always unknown. Training occurred for one app at a time in the manner of a multiple baseline design across behaviors. Training steps were progressively introduced to evaluate the components necessary for app use. Gavin progressed quickly through training with the first app and then demonstrated generalization across novel questions (i.e., with different cities), apps, and response modalities (i.e., answering vocally). Intervention was staggered across participants consistent with a nonconcurrent multiple baseline design. Phoebe required more intensive training and eventually demonstrated generalization across novel questions. We discuss the implications of expanding technology-based problem-solving skills and targeting more apps.
DOI: 10.17632/4jvt4d724h.2
title: People with Disabilities in Albania

description: Overview on the situation and the rights of PWD
DOI: 10.17632/nt6j9c8653.2
title: MDDVRPSRCV1_Test_Instance

description: The proposed test instance is aimed towards VRP problem that addressed in general the multi depots, homogeneous/ heterogeneous vehicles, as well as a set of road capacity for different edges that may or may not sustained a certain level of damages. We apply this dataset for the application of routing under disaster scenario that speaks for the damaged and limited capacity of the edges/ roads in the road network.

The instance problem consists of road network mapped in Euclidean distance where the road capacity of edges, depots, shelters, and connecting nodes coordinates as well as demand of shelters are fixed.

Meanwhile the "damage" file addressed the damage value of edges within the network due to an event triggered from a single point.

This proposed instance is made possible through the author: Anuar, Wadi Khalid, and his PhD research supervisor: Lai Soon, Lee, as well as the contributing instituition: Universiti Utara Malaysia (affiliated to author) & Universiti Putra Malaysia (affiliated to research instituition)
DOI: 10.17632/3bgyvsjkmy.1
title: Subtotal cholecystectomy for benign gallbladder disease: a study protocol for a systematic review and meta-analysis of the observational studies published between 1985 and 2019

description: Subtotal cholecystectomy (STC) is the partial removal of the gallbladder and is performed when the anatomy of the Calot’s triangle cannot be fully identified. It is thought to be associated with higher post-operative morbidity rates when compared with the conventional cholecystectomy technique. This systematic review of research papers published between 1985 and 2019 aims to ascertain the perioperative morbidity, mortality and clinical burden associated with STC. The protocol of the study has been registered with PROSPERO International Prospective Register of Systematic Reviews (registration number CRD42020172808) (https://www.crd.york.ac.uk/prospero/).
DOI: 10.17632/25yjwbphn4.1
title: Clinical Dataset of the CYP-GUIDES Trial

description: CYP-GUIDES (Cytochrome Psychotropic Genotyping Under Investigation for Decision Support) is a randomized controlled trial (RCT) comparing 2 outcomes in hospitalized patients with severe depressive disorders treated according to the patient's CYP2D6 genotype and functional status versus standard psychotropic therapy. The primary outcome was hospital Length of Stay (LOS) and the secondary outcome was the Re-Admission Rate (RAR) 30 days after discharge. The trial setting was the Institute of Living at Hartford Hospital. CYP2D6 genotyping was implemented to characterize the functional status of the CYP2D6 enzyme with sub-normal, normal or supra-normal function. The electronic medical record (EMR) was utilized to transmit clinically actionable drug prescribing guidance based on the patient's CYP2D6 function to the physician. The RCT recruited 1500 patients, genotyped CYP2D6 in 1459, and randomized 477 to standard therapy (Group S), for whom treatment-as-usual guidance was delivered without consideration of patient CYP2D6 genotype, and 982 to genetically-guided therapy (Group G) where CYP2D6-based treatment recommendations were provided via EMR to physicians. For inpatients in Group G whose CYP2D6 function was sub- or supra-normal, medications primarily metabolized by the CYP2D6 enzyme were proscribed. The RCT developed a database of potential benefit to the field. The pharmacologic, clinical course and pharmacogenetic therapeutic guidance is being published in a related article. These data should enable various investigators to assess effects of clinical decision support on resource utilization and psychotropic therapy during psychiatric hospitalizations.
DOI: 10.17632/8tjgtkktky.5
title: A Dataset for Pasture Parameter Estimation based on Satellite Remote Sensing and Weather Variables

description: During 12 months in two paddocks with Brachiaria brizantha cv, Marandu forage, forage collection was carried out with gardening shears. The data were collected from April 6, 2022, until March 1, 2023, in a paddock with animals (4 Nelore breed animals) and another paddock without animals. Two collection types were performed: every 15 days in a square of 1m² randomly released in both paddocks and containment cages of 1 cubic meter, collected every 30 days, and placed in the paddock with animals. In each sample, coordinates (latitude and longitude) were collected using GPS.

The laboratory chemical analysis was performed on all samples to estimate forage parameters: Crude Protein (CP), Acid Detergent Fiber (ADF), Neutral Detergent Fiber (NDF), Dry Matter content (DM), Biomass Content, Mineral Metter (MM) and, Total Digestible Nutrients (TDN). 

For each GPS coordinate, satellite multispectral and weather data were acquired. The multispectral data were collected using Google Earth Engine API, based on Sentinel-2 multispectral images. Eleven Sentinel-2 bands (B01, B02, B03, B04, B05, B06, B07, 8A, B09, B11, and B12) were acquired, and eight well-known spectral indices (NDVI, NDWI, EVI, LAI, DVI, GCI, GEMI, and SAVI) were calculated and integrated into the dataset. 

Weather data were acquired in two ways: using two APIs (Open Wheater MAP and Open-Meteo) and data from an existing meteorological station at the sample collection site. The weather data acquired based on APIs are Maximum and Minimum Temperature Acquired during the day (TEMP_MAX, TEMP_MIN), Average of Solar Radiation during the day (RAD_SOL), Average average registered during the day (RAIN), Average wind speed registered during the day (WIND_SPD), Average evapotranspiration estimated of the soil during the day (EVAPOT), Average Atmospheric Pressure registered during the day (PREST_ATM) and, Average Relative humidity registered during the day (HUM_REL). 

Finally, data related to the day of collection (date and Day of Year - DOY), sample coordinates (latitude and longitude), and sample type (ID that identifies the type of sample): 
Paddock with animals:
- Q1 - Q4: square 1 - 4, 
- G1 - G4: cage 1 - 4,
Paddock without animals:
- S1 or S2: square 1 or 2

Were integrated into the complete dataset. 

In the Folder called "data" there are four files: “Table 1 - Field_Experiment_Data.csv”, “Table 2 - Multispectral_data.csv”, "Table 3 - Weather_Data.csv" and “Complete_DataSet.csv”. The first file, contains just pasture chemical analysis values; in the second, hyperspectral data; on the third file are the weather data acquired on APIs and the meterological station, and in the last, all the data has been integrated. 

In the "src" folder, the Python script to acquire hyperspectral and weather data from APIs is called “Search_Images_and_Weather_Data.ipynb”. The file "weatherapi.py" receives data to estimate weather information from both APIs.
DOI: 10.17632/7k8rbvksvk.1
title: A Historical Dataset of Federal Government Spending Changes for Canada

description: This dataset presents a narrative record of all announced federal government spending changes in Canada between 1949q1 and 2012q1. We use the federal government’s budget documents, mostly the budget speech, to document announced spending measures. Other budget documents that we use include the Economic Statements, Financial Statements, Mini Budgets, Interim Budgets, and Economic and Budget Updates. We document the motivation behind each announced measure. Based on these motivations, we classify spending changes as exogenous or endogenous. Exogenous changes are those that are not motivated by contemporaneous economic conditions of the country. Endogenous changes are those that are taken in response to current economic conditions. We also document the size of a change, whether it was intended to be temporary or permanent, the duration of the measure, and the size of the measure that was to be implemented in the same year as it is announced.  This is the first dataset for any country that comprehensively presents all spending changes undertaken by a government.
DOI: 10.17632/cfs7mwh3rx.1
title: Soil water retention, unsaturated hydraulic conductivity and hysteresis data

description: Dataset is from the UNSODA database (Nemes et al., 2001) and other published data.
DOI: 10.17632/frv89hjgrr.1
title: Retinal Vessel

description: Three real-world public retinal datasets:

1. DRIVE  Ref. Ridge-based Vessel Segmentation in Color Images of The Retina (https://drive.grand-challenge.org/Download)

2. STARE Ref. Locating Blood Vessels in Retinal Images by Piecewise Threshold Probing of a Matched Filter Response (https://cecas.clemson.edu/~ahoover/stare)

3. CHASE_DB1 Ref. An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation (https://blogs.kingston.ac.uk/retinal/chasedb1/)
DOI: 10.17632/3xknb3sdb5.5
title: Test database on concrete-filled steel tubular columns

description: This database contains results of 3103 tests carried out on CFST columns over the past few years.