cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yr3vhbtbmr.1
title: Awareness of Gym safety equipments among Gym trainee: A survey study

description: Any skeletal muscle-driven motion that requires energy expenditure is considered physical exercise. Physical activity helps slow the incidence of chronic conditions like diabetes, cancer, stroke, and hypertension. Gym use are the most popular exercise has been noticed among everyone, not just young people. Unfortunately, all types of physical activity include the potential of injury.
DOI: 10.17632/952fg8gs39.1
title: Model, Characteristics, and Optimization of Adolescent Physical Health Policy Tools in China

description: Raw Data of The Model, Characteristics, and Optimization of Adolescent Physical Health Policy Tools in China
DOI: 10.17632/y3wjc94trn.1
title: A Spectral Dataset of different materials for metal classification

description: Spectral data from Aluminium, Stainless Steel, Mild Steel, Copper, and Wood materials were collected using a spectrometer equipped with advanced on-chip filtering technology. This spectrometer features up to 8 wavelength-selective photodiodes arranged in a compact 9x9mm array. The spectrum was divided into eight distinct bands with selectivity ranging from 400 to 1100 nm. The collected spectral data are used to classify the different materials, leveraging machine learning techniques to accurately distinguish between Aluminium, Stainless Steel, Mild Steel, Copper, and Wood.
DOI: 10.17632/2t6xxv9zj6.3
title: Political Polarization in Financial News

description: Do files and simulated data for tables and figures in "Political Polarization in Financial News"
DOI: 10.17632/9zyvdgp83m.1
title: Real-world Tomato Image Dataset for Deep Learning and Computer Vision Applications Involving Precision Agriculture

description: The dataset consists of high resolution real images of tomato fruit (vegetable) which were taken at various stages of tomato growth starting from flowering all the way to harvesting stage over a period of 1 year. The dataset was created keeping in mind the real-time scenario that helps in obtaining good generalisation capability for the Deep Learning model or any other model. The dataset would help the researchers working towards agriculture domain utilising the capabilities of Deep Learning and Computer Vision. The images were collected at different times (morning, evening and night) with various backgrounds. The dataset consists of two folders of tomato images, the first folder consists of 1114 mixed images of tomato (growth stages) having a resolution of 1846x4000 while the second folder consists of 636 mixed tomato images having a resolution of 4000x1660. The images were captured by using Redmi K20 Pro phone that uses a 48-megapixel Sony IMX586 sensor with an f/1.75 aperture and 1.6 micron pixels.
DOI: 10.17632/zbyc7sgp63.1
title: Pashtu Language Digits Dataset (PLDD)

description: Pashtu is the national language of Afghanistan and is spoken by more than  50 million people across the globe. Pashtu is written in a very complex way by calligraphers. The optical character recognition system for most of the languages of the world is in very advanced form, however, this is not the case with Pashtu. Pashtu is still looking to researchers to develop a mature optical character recognition system. This dataset consists of around 50K scanned images of the digits of Pashtu text.  The digits are collected from the faculty members and students of different universities. The dataset is available for research purposes.
DOI: 10.17632/bnhb3mgkfb.1
title: Supplementary data for “Individual head models for estimating the TMS-induced electric field in rat brain”

description: Supplementary data for “Individual head models for estimating the TMS-induced electric field in rat brain”. This dataset contains the raw imaging data and an individual volume conductor model (VCM) derived from the imaging data. The dataset contains following items: 1. A high-resolution X-ray tomography image of the head and neck region of a 617 g male Wistar rat (CT_rat_Aivi_2017.nii a NIFTI file) by Kimmo Jokivarsi, 2. Two computational TMS-coil models used in to compute TMS-induced E-field in the work (coils.mat a MATLAB binary data file format), 3. The set of 35 target coordinate systems in a 7 by 5 grid that were used in the work (coordinates.mat a MATLAB binary data file format), 4. The set of BEM surface meshes produced from the tomography image for the work (for one 1C model, two 2C models, and one 3C model; meshes.mat a MATLAB binary data file format), and 5. The TMS-induced E-field computed in the 3C model (lead_field_3C_reference.mat a MATLAB binary data file format). This field has been computed for each of the 35 targets in 10 degree increments from –80 degrees to 90 degrees. Due to symmetry, the remaining orientations from 100 to 270 degrees can be generated from these by changing the sign of the E-field. The E-field is presented as a lead-field matrix, where the rows are {position_1_orientation_1, position_1_orientation_2, ..., position_1_orientation_18, position_2_orientation_1, ...} and columns are {brain_mesh_vertex_1_x, brain_mesh_vertex_1_y, brain_mesh_vertex_1_z, brain_mesh_vertex_2_x, ...}.
DOI: 10.17632/7tg28xns3m.1
title: Multi-modal and multi-view image dataset of weeds  in wheat field 

description: We proposed a Multi-modal and Multi-view Image Dataset of Weeds in Wheat Field (MMDWWF) that can be used for deep learning. The dataset contains wheat and grass images of two modes and nine views, aiming to provide an open, high-quality and larger-scale weeds dataset to promote the development of weeds detection methods in wheat field.
DOI: 10.17632/fyyw6yyyxz.2
title: Experimental data of The role of the curved southern Asian margin between the Tarim and Tajik cratons during the evolution of the Pamir, insights from sandbox modeling

description: This is Experimental data of “The role of the curved southern Asian margin between the Tarim and Tajik cratons during the evolution of the Pamir, insights from sandbox modeling ”that will be submitted toTectonics.
This data includes top-view photographs of three experiments and movies of the experimental process. These movies were created by taking a photo every 0.5 cm of the shortening process during the experiment. The structure features explanation is showed at shortening amounts of 35 mm, 60 mm, 90 mm, 119 mm, 127 mm, and 150 mm in each experiment.
DOI: 10.17632/37w29dc2jx.1
title: Data for: "Omnichannel as a consumer-based marketing strategy"

description: Data for the article "Omnichannel as a consumer-based marketing strategy".
Authors: Isadora Gasparin and Luiz Antônio Slongo (Escola de Administração, Universidade Federal do Rio Grande do Sul, Brazil)

Files:
1 - LiteratureReviewProcedures.pdf: Literature review procedures and steps to reproduce them.
2 - DataSet_N50_Scopus.csv: Data exported from the Scopus database.
3 - AnalysisTable_N29.xlsx: Detailed analysis of each article from the final data set.
DOI: 10.17632/2rh8mftdnf.1
title: Data for: MULTIRESOLUTION IMAGE REGISTRATION FOR MULTIMODAL BRAIN IMAGES AND FUSION FOR BETTER NEUROSURGICAL PLANNING
DOI: 10.17632/9xyb3mn8w4.1
title: Depression: SF Vs PF Questions on Affect and Processing Speed

description: The study was conducted to understand the effect of solution focused vs problem focused questions on affect and processing speed of 60 individuals diagnosed with depression. The positive and negative affect schedule (PANAS) was used to measure affect. Symbol search and coding were used to measure the processing speed. The data included the pre-test and post-test measures of affect and processing speed.
DOI: 10.17632/5bmyz97y7f.1
title: Forged Handwritten Document Database

description: Dataset Description:

This is a dataset regarding the creation of forged handwritten document images. In this dataset, ten classes of different forgery operations are performed on handwritten document images, namely: (i) Normal, (ii) Copy-Paste, (iii) Insertion, (iv) Copy-Paste + Insertion (v) Copy-Paste + Noise, (vi) Copy Paste + Blur, (vii) Noise, (viii) Blur, (ix) Insertion + Noise and (x) Insertion + Blur. Each class contains 50 images and hence the total number of images considered for experimentation from 10 classes is 500 (50 original and 450 forged). The original handwritten document images have been collected from students of Rani Channamma University, Belagavi Karnataka, India, from their class assignment notebooks.

In this dataset, the original handwritten text is manipulated by multiple forgery operations, including adding noise and blur levels to the original and forged images. The handwritten documents are scanned using a LaserJet M1136 MFP scanner with 200 DPI, and then multiple forgery operations are performed. It is a combination of copy-paste, insertion, noise, and blur. For altering text, authors have used the Adobe Photoshop tool which is easily available for creating forgeries at the word level. Similarly, for adding noise and blur to the original and forged images, Gaussian Noise and Gaussian Blur operations were used.

In the case of copy-paste operations, part of an image has been copied from the same document, or a different document has had target words pasted, while in the case of insertion, the eraser is used from the menu to delete a portion of a word from the document and different characters are pasted using the insert option, resulting in a forged document. The primary difference between insertion operations and copy-paste is that the insertion operation changes a portion of an image, whereas a copy-paste operation changes the entire image. While performing multiple operations on a word, one operation uses a small portion of the word and another option uses other portions of the word, such as Copy-Paste + Noise and Insertion + Noise, copy-paste + Blur, Insertion + Blur and copy paste + Insertion.

The dataset can be used for research in the area of fake image identification.

Instructions:

1.	There are ten different sub-folders corresponding to the ten different forgery operations.
2.	In each sub-folder, there are forged handwritten document images corresponding to ten different classes of forgery.
3.	All original scanned and forged handwritten document images are in .jpg format.
DOI: 10.17632/mzsnj6nnsw.1
title: Effectiveness of strengthening exercise plus activities of daily living instructions in reducing pain in patients with lumbar disc herniation

description: Lumbar disc herniation (LDH) is one of the most common causes of mechanical low back pain (LBP) associated with radiating leg pain. Conservative treatment, including exercise, analgesic, and physical therapy, is regarded as the first-line treatment of LDH.
This randomized clinical trial was conducted to evaluate the effectiveness of back and hip strengthening exercises combined with activities of daily living instructions (ADLIs) to reduce pain intensity in patients with LDH.
A total of 70 patients with LDH were randomly allocated to either the intervention group (IG) or the control group (CG). Patients in IG received different back and hip strengthening exercises five days a week for six weeks. The patients in CG were treated with Naproxen (500 mg) and Baclofen (10 mg) tablet twice a day for three weeks, followed by hot moist compression for the next three weeks. In addition, the patients in both groups were instructed to follow the ADLIs during the intervention and at least 3 months after the intervention.
The straight leg raising (SLR) test and the Visual Analogue Scale (VAS) score were used to evaluate the patients' pain intensity. Outcomes were measured at baseline, at three weeks, and at six weeks of the intervention. Patients were followed up after 3 months of the intervention.
DOI: 10.17632/5s4mt7xrd9.1
title: Mexican Sign Language's Dactylology and Ten First Numbers - Labeled images and videos. From person #1 to #5

description: The dataset comprises edited recordings of Mexican sign language's Dactylology (29 signs) and Ten First Numbers (from 1 to 10), including static and continuous signs accordingly from person 1 to person 5. The edited recordings are organized for easy access and management. Edited videos and screenshots of static signs are labeled in their file with corresponding sign language representations and stored in a consistent order per person, the number of the cycle of recording, and per hand. Static sign images can be exported in PASCAL VOC format with XML annotations too. The dataset is designed to facilitate feature extraction and further analysis in Mexican sign language recognition research.
DOI: 10.17632/nmjd35fcb5.2
title: cut-flower disease dataset

description: This dataset is a dataset that prepared for cut-flower disease detection and classiffication by using computer vision. as it is known cut-flowers  are flowers or flower buds that have been cut from the plant bearing it for decorative purpose. it has a great role in balancing a gross domestic product(GDP) of the developing countries like Ethiopia and Kenya. however, it has a big impact on balancing economy, the countries cannot achieve the maximum effort and income due to disease problem. so this dataset is prepared for supporting a researcher those need to support a farmer and investor.the dataset is an image dataset that contain a cut-flowers leaf diseases. black-spot, powdery-mildew, downy-mildew and normal cut-flower leaves are included. in my research that I proposed in Addisababa science and Technology university for partial fulfillment of MSc degree, "developing deep-learning based  cut-flower disease detection and classification model " is done by this dataset and achieve a good result in evaluattion matrix.
this dataset is prepared through image collecting , image analysis and image labelling procedure. in image collecting(gathering) level the scholar, expert(plant pathologists) and plant managers are participated. a mobile with 64 mpx used for capturing cut-flower leaves image. a distance between a leaves and mobile camera averegically is 30 yards and also in image analysis the blurred image, the image hidden by other leaves, the image captured from a more distance which is not visible is outed during images analysis. finally the images are labelled by using LabelImg tool with their correspondence name. the labelling intension is for multi-label classification which has localization.
DOI: 10.17632/y76vbw92y9.3
title: Audiovirtual Reality to induce anger and happiness emotions: A physiological response (EEG, GSR, BVP and TMP) database

description: Tecnologico de Monterrey
School of Engineering and Sciences
Neuroengineering and Neuroacoustics Research Group 

Context: Emotions play an important role in people's daily lives, thus emotional regulation is crucial in human development, as it determines our behaviors and decisions, as well as our physiological responses. Through two different virtual environments with a speech performed by a digital human, we expect to elicit emotions with different valence (happiness and anger). The virtual scenarios used to elicit the emotion of happiness and anger were a natural outdoor forest environment and a subway car, respectively.

Objective: To obtain the physiological reaction (the electrical activity of the brain, galvanic skin response, blood volume pulse and temperature)  and psychometric response (Emotion Regulation Questionnaire, Self Assessment Scale questionnaire and questionnaires related to the participant's perception of the digital human such as identifying the specific Emotion Facial Action Coding System, as well as a Likert scale about the familiarity, friendliness, attractiveness, and alikeness of the digital human) of 20 subjects elicited by an emotional speech of a digital human into two different virtual environments , where two emotions with opposite valence were aimed to induced: anger and happiness.

Limitations: Due to external artifacts physiological data of 9 participants was discarded. 

Technical information: 

The wearable EEG headset Unicorn Hybrid Black was used for the recording of the brain activity at 250 Hz. In addition, the E4 wristband was used for the recording of the Autonomous Nervous System responses:

- Galvanic skin response was recorded at 4Hz.
- Blood volume pulse was recorded at 64 Hz. 
- Temperature was recorded at 4Hz.
DOI: 10.17632/nddfs37dkh.2
title: Supplementary Table S1

description: Dimensionality reduction by UMAP reinforces sample heterogeneity analysis in bulk transcriptomic data - This paper analyzes existing, publicly available data. These accession numbers for the datasets are listed in Supplementary Table S1.
DOI: 10.17632/gjhf5y4xjp.2
title: AI & Big Data Global Surveillance Index (2022 updated)

description: This index compiles empirical data on AI and big data surveillance use for 179 countries around the world between 2012 and 2022— although the bulk of the sources stem from between 2017 and 2022. The index does not distinguish between legitimate and illegitimate uses of AI and big data surveillance. Rather, the purpose of the research is to show how new surveillance capabilities are transforming governments’ ability to monitor and track individuals or groups. Last updated February 2022.

This index addresses three primary questions: Which countries have documented AI and big data public surveillance capabilities? What types of AI and big data public surveillance technologies are governments deploying? And which companies are involved in supplying this technology?

The index measures AI and big data public surveillance systems deployed by state authorities, such as safe cities, social media monitoring, or facial recognition cameras. It does not assess the use of surveillance in private spaces (such as privately-owned businesses in malls or hospitals), nor does it evaluate private uses of this technology (e.g., facial recognition integrated in personal devices). It also does not include AI and big data surveillance used in Automated Border Control systems that are commonly found in airport entry/exit terminals. Finally, the index includes a list of frequently mentioned companies – by country – which source material indicates provide AI and big data surveillance tools and services. 

All reference source material used to build the index has been compiled into an open Zotero library,  available at https://www.zotero.org/groups/2347403/global_ai_surveillance/items. The index includes detailed information for seventy-seven countries where open source analysis indicates that governments have acquired AI and big data public surveillance capabilities.  The index breaks down AI and big data public surveillance tools into the following categories: smart city/safe city, public facial recognition systems, smart policing, and social media surveillance.  

The findings indicate that at least seventy-seven out of 179 countries are actively using AI and big data technology for public surveillance purposes:

•	Smart city/safe city platforms: fifty-five countries
•	Public facial recognition systems: sixty-eight countries
•	Smart policing: sixty-one countries
•	Social media surveillance: thirty-six countries
DOI: 10.17632/fzkc96yxt6.1
title: Waiting List for Elective Surgeries: 10 Years of Demand Predictions per Specialty and Region in Chile

description: The dataset presented in this repository was created using de-identified historical surgical data (2012-2021) from 10 regional health services in Chile. To request access to the historical information, follow this link: https://www.portaltransparencia.cl/PortalPdT/ 

Data:
The dataset below covers the future predicted surgical demand (2022-2031) obtained through 100 ARIMA models considering the following specialties in each of the ten regions: Cardiology, head and neck, ear nose and throat, plastic surgery, gastroenterology, gynecology and obstetrics, neurology and neurosurgery, ophthalmology, traumatology, and urology and nephrology.
Furthermore, three different demand scenarios are provided per region, specialty, and year. The scenarios are low, medium, and high demand, considering a 95% prediction interval. 

The attached data table (8x1001) has the following structure:
Column 1 presents a numerical regional health service ID.
Column 2 presents a numerical specialty ID.
Column 3 presents the year of prediction.
Column 4 presents the predicted medium demand scenario.
Column 5 presents the predicted low-demand scenario.
Column 6 presents the predicted high-demand scenario.
Column 7 presents the regional health service name.
Column 8 presents the specialty name. 

Feel free to contact us if you have any questions about the dataset.
DOI: 10.17632/sd6ps6ws8h.1
title: AI_CRM

description: This research explores the role of technophobia and metathesiophobiaTechnophobia and metathesiophobia in adopting an AI-enabled customer relationship management system (AI-CRM) by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Introducing AI technology into CRM systems enables sales organizations to analyze real-time sales data and gain valuable insights. However, adopting new technology involves psychological barriers such as fear and resistance to change. This research seeks to determine the effects of these phobias on the adoption of AI technology and the factors that affect them. The theoretical foundation is established by reviewing the existing literature, resulting in the development of hypotheses and a conceptual model. Data were collected through a questionnaire administered to sales executives at passenger car dealerships. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) with the SmartPLS4 package. The results uncover and explain the relationships among technophobia, metathesiophobia, UTAUT constructs, and behavioral intention to adopt AI-CRM—additionally, the moderating effects of age and experience as moderators are examined. This study also investigates the relationships between technophobia and other constructs, revealing that technophobia positively influences performance expectancy, effort expectancy, and metathesiophobia. Furthermore, social influence and facilitating conditions positively impact technophobia.
DOI: 10.17632/y5wt7htxdp.1
title: Data for: A modified Leishman-Beddoes model for airfoil sections undergoing dynamic stall at low Reynolds numbers

description: Comparison of experimental dynamic stall with a modified Leishman-Beddoes model. 1 ReadMe, 2 Normal force and Moment coefficient for an oscillating flat plate undergoing dynamic stall, 3 Normal force and Moment coefficient for an oscillating NACA 0012 undergoing dynamic stall 4 Normal force and Moment coefficient for an oscillating NACA 0018 undergoing dynamic stall
DOI: 10.17632/vj4w5zfvty.1
title: Excel calculation sheet for Biotite from EPMA data (Li et al. 2020, Lithos)

description: Excel spreadsheet for calculating biotite formula from EMPA data. Li X., Zhang C., Behrens H., Holtz F. (2020) Calculating biotite formula from electron microprobe analysis data using a machine learning method based on principal components regression. Lithos, 356-357: 105371. https://doi.org/10.1016/j.lithos.2020.105371
DOI: 10.17632/3w3pf3vnd4.1
title: Agricultural Irrigation Control Dataset

description: The data obtained from the sensors comprised 4,893 XBee frames with 10 different parameters (i.e., temperature, humidity, air pressure, soil moisture, soil temperature, solar radiation, leaf wetness, wind speed, wind direction, and rain level) in each frame. Due to space limitations and the scope of the study area, we only considered, processed, and analyzed six parameters (i.e., air temperature, relative humidity, solar radiation, wind speed, soil temperature, and soil moisture) in these experiments.