cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/knmbfjsdwn.1
title: DEVANAGARI CAPTCHA DATASET OF 1 Million Images :  A challenge Test

description: CAPTCHA (Completely Automated Public Turing Tests to Tell Computers and Humans Apart). Only humans can successfully complete this test; current computer systems cannot. It is utilized in several applications for both human and machine identification. Text-based CAPTCHAs are the most typical type used on websites. Most of the letters in this protected CAPTCHA script are in English, it is challenging for rural residents who only speak their native tongues to pass the test. 
Devanagari characters have more complex characters than standard English characters and numeral-based CAPTCHAs, which makes machine recognition much more difficult. The majority of official websites in India only offer information in Devanagari. Unfortunately, websites do not use Devanagari CAPTCHAs.As a result, we have created a new text-based CAPTCHA in Devanagari script in this article. 
A computer/printed font and handwritten Devanagari character(34 each) and number(10 each) , in total 44+44 = 88 character images are used to design CAPTCHA. General CAPTCHA generation principles are used to add noise to the image using digital image processing techniques. Size of each CAPTCHA image is 250 X 90 pixels. 04 (Four) types of Character Sets are used  – Printed Alphabet(34), Handwritten Alphabet(34),  Printed Digit(10), and Handwritten Digit(10). Generated 11 Classes from these 04 combinations. 
The string length of the CAPTCHA image considered here is FIVE, SIX, and SEVEN ( 5, 6, 7). For each class – 03 (THREE) subclasses are created depending upon string length. In total there are 11 classes X 3 subclasses = 33 subclasses. So 33 types of CAPTCHA images were generated. For each class, 10,000 CAPTCHA images were created. For 11 Classes  X 10,000 images , a Devanagari CAPTCHA Data set of 1,10,000 ( One Million Ten Thousand) images were created using Python.
To make the CAPTCHA image less recognized or not easily broken. Passing a test with identifying Devanagari alphabets is difficult. It is beneficial to researchers who are investigating captcha recognition in this area.
This dataset is helpful to researcher to design OCR for recognize Devanagari CAPTCHA and break it.
DOI: 10.17632/4fn9mhkg4s.1
title: Data for: The fluorescent blue glow of banana fruits is not due to symplasmic plastidial catabolism but arises from insoluble phenols estherified to the cell wall

description: Blue Fluorescent Banana samples (leaves and fruits)
DOI: 10.17632/rz8kgxps2h.1
title: The Dynamics of Non-Intervention

description: These data are used to estimate the panel models described in The Dynamics of Non-Intervention: Applying the Dynamic Common Correlated Effects Estimator to State-Level Economic Freedom.

Abstract:
The relationship between economic freedom and economic performance is well-studied. We contribute to a dimension of the literature concerned with subnational economic freedom and subnational economic performance through the application of the Dynamic Common Correlated Effects estimator, which allows estimation for the first time to take into account cross-sectional dependence and heterogeneous slopes among US states. We find a positive relationship between economic freedom and economic growth, though when applying a battery of control variables, some specifications lose statistical significance.
DOI: 10.17632/5snrynxwn4.8
title: Car Advertisement (Study Materials)

description: The database contains popular car advertisement of 70 years (1946-2015). All 510 images from the database and source file are attached here. The same can be accessed through the link provided below.
DOI: 10.17632/xgrcptfpwt.1
title: 100 3D Body Scans

description: This file contains 100 3D Body Scans from a White-British and Chinese population, aged 20-30 for you to use and explore in your research. 3D Body Scanning is a technology that allows the capture and analysis of the human body using non-contact methods, current uses have allowed large datasets to be captured and comparisons made with population groups. As part of ongoing projects at the University of Manchester the Apparel Design Engineering (ADE) team have selected 100 scans and processed them using a Size Stream body scanner, we are making the measurements of these 100 scans accessible to anyone wishing to explore body measurements and sizing systems. The selected scans are a sample of 20-30-year-old females with half identified as White British and half as Chinese. We hope the data can be used by anyone wishing to explore body scanning and human measurements and will help provide insights into the types of data and analysis possible using outputs from body scanning technology.
DOI: 10.17632/2fgd2mdbzg.1
title: Questionnaire Data Processing, Translated from Chinese

description: This spreadsheet collects the raw and processed data in the self-perception questionnaire.
DOI: 10.17632/ycy3sy3vj2.1
title: Steam Games Dataset : Player count history, Price history and data about games

description: This dataset consists of player count history, price history, and data about 2000 applications available in the Steam games platform. The 2000 applications are the applications in Steam with the highest player count within the last 24 hours on the 11th of December 2017 chosen based on the player statistics provided in SteamDB (https://steamdb.info/graph/). The player count history of each application from 14-12-2017 to 12-08-2020 is available. Player count was collected in 5-minutes intervals for the top 1000 applications (PlayerCountHistoryPart1.zip) and in 1-hour intervals for the next 1000 applications(PlayerCountHistoryPart2.zip) using the ISteamUserStats interface of the Steamworks web API. One file per each application is available containing UTC Time and Playercount columns. The price history of non Free to Play applications are available from 07-04-2019 to 12-08-2020. Price information was collected using the StorefrontAPI in USD currency and is available in daily frequency. Hence, price changes that did not last for 24 hours would not be available. One file per each application is available containing Date, Initialprice, Finalprice, and Discount columns. Data about the applications were collected using the StorefrontAPI, except for tags which was collected using SteamSpy API. The format of each file is described as follows: applicationInformation.csv : [ appid, type, name, releasedate, freetoplay ] This file consists of the application ID used in Steam, application name, the release date of the application, application type representing whether the application is a game, mod, demo, advertising or dlc. ( There are 1963 games in the dataset out of the 2000 applications. ) Whether the game is Free to play or not is represented as a binary feature. applicationDevelopers.csv: Consist of the appid and a list of the developers of the application. applicationPublishers.csv: Consist of the appid and a list of the publishers of the application. applicationSupportedlanguages.csv : Consist of the appid and a list of the languages the application supports. applicationPackages.csv: Consist of the appid and a list of the package IDs the application is included in. applicationGenres.csv: Consist of the appid and a list of the genres assigned to the application on Steam store. applicationTags.csv: Consist of the appid and the list of the tags assigned to the application on Steam store. Research Paper(s) resulting from this dataset: D. Vihanga, M. Barlow, E. Lakshika and K. Kasmarik, "Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach," 2019 IEEE Conference on Games (CoG), London, United Kingdom, 2019, pp. 1-8, doi: 10.1109/CIG.2019.8848108.
DOI: 10.17632/sv4mns9fk4.1
title: Data for: Testing the effectiveness of the Internet-based instrument PsyToolkit: a comparison between web-based (PsyToolkit) and lab-based (E-Prime 3.0) measurements of response choice and response time in a complex psycholinguistic task.

description: Raw experimental and compiled demographic data for two experiments conducted during the research phase for "Testing the effectiveness of the Internet-based instrument PsyToolkit". Raw demographic data was not included to protect anonymity; as such, .txt files are included containing the important demographic factors for both internet-based (OnlineDemographics.txt) and laboratory-based (OfflineDemographics.txt) experiments. Three .rmd file containing the code we used for data preparation and analysis are also included. Firstly, there is a master script where data is prepared and analysed together (MasterScriptBothPreparationAndAnalysis.rmd). Secondly, there are separate scripts included for running the data preparation (DataPreparation.rmd) and data analysis (DataAnalysis.rmd) separately. These scripts are identical to what is included in the master script under Preparation and Analysis, and are included to make it easier to examine the code in each of these sections. Output .txt files from the data preparation phase are also included (AllCompiled.txt, OfflineExperimentAll.txt, OfflineCompiled.txt, OnlineCompiled.txt), to allow for running the analysis without needing first to run the data preparation. If removing these files prior to running the data preparation script or master script, please be careful to not remove the demographics files.
DOI: 10.17632/x823sh86zy.2
title: Does household risk attitude affect consumption expenditure? Evidence from Chinese urban households

description: This is the replication files for the paper entitled "Does household risk attitude affect consumption expenditure? Evidence from Chinese urban households".
DOI: 10.17632/tdxfppmtby.1
title: Alvarado AM, Venegas BC, Salazar AM.Aplicación del Modelo de Adaptación de Roy en el contexto comunitario. Mendeley Data

description: Datos de la Investigacion
DOI: 10.17632/jb2d33bmwx.2
title: Global Trends in Melanoma Burden

description: Supplemental tables and figures for "Global Trends in Melanoma Burden: A Comprehensive Analysis from the Global Burden of Disease Study, 1990-2021"
DOI: 10.17632/ff65kcdypt.1
title: Lightweight object detection algorithm for robots 

description: Code and dataset of the 《Lightweight object detection algorithm for robots with improved
YOLOv5》
DOI: 10.17632/9yn47cy5jv.1
title: Supplementary Data for the FRASE-bot / CIB1 manuscript

description: Input/output files for/from the FRASE-bot Pipeline Pilot protocols for CIB1.
DOI: 10.17632/dnskbdnmsz.1
title: Dissecting Green Returns -- Replication Package

description: This folder contains code and data needed to replicate "Dissecting Green Returns," by Lubos Pastor, Robert F. Stambaugh, and Lucian A. Taylor.
DOI: 10.17632/b6cj8k8x3g.3
title: plants disease dataset

description: multiple plant consist : tomato, tea, potato, chili, corn, bean
DOI: 10.17632/x3fz2nfm4w.3
title: SalmonScan: A Novel Image Dataset for Machine Learning and Deep Learning Analysis in Fish Disease Detection in Aquaculture

description: The SalmonScan dataset is a collection of images of salmon fish, including healthy fish and infected fish. The dataset consists of two classes of images:

Fresh salmon 🐟
Infected Salmon 🐠

This dataset is ideal for various computer vision tasks in machine learning and deep learning applications. Whether you are a researcher, developer, or student, the SalmonScan dataset offers a rich and diverse data source to support your projects and experiments.

So, dive in and explore the fascinating world of salmon health and disease!

The SalmonScan dataset (raw) consists of 24 fresh fish and 91 infected fish. [Due to server cleaning in the past, some raw datasets have been deleted]

The SalmonScan dataset (augmented) consists of approximately 1,208 images of salmon fish, classified into two classes:

- Fresh salmon (healthy fish with no visible signs of disease), 456 images
- Infected Salmon containing disease, 752 images

Each class contains a representative and diverse collection of images, capturing a range of different perspectives, scales, and lighting conditions. The images have been carefully curated to ensure that they are of high quality and suitable for use in a variety of computer vision tasks.

Data Preprocessing

The input images were preprocessed to enhance their quality and suitability for further analysis. The following steps were taken:

Resizing 📏: All the images were resized to a uniform size of 600 pixels in width and 250 pixels in height to ensure compatibility with the learning algorithm.
Image Augmentation 📸: To overcome the small amount of images, various image augmentation techniques were applied to the input images. These included:
Horizontal Flip ↩️: The images were horizontally flipped to create additional samples.
Vertical Flip ⬆️: The images were vertically flipped to create additional samples.
Rotation 🔄: The images were rotated to create additional samples.
Cropping 🪓: A portion of the image was randomly cropped to create additional samples.
Gaussian Noise 🌌: Gaussian noise was added to the images to create additional samples.
Shearing 🌆: The images were sheared to create additional samples.
Contrast Adjustment (Gamma) ⚖️: The gamma correction was applied to the images to adjust their contrast.
Contrast Adjustment (Sigmoid) ⚖️: The sigmoid function was applied to the images to adjust their contrast.

Usage

To use the salmon scan dataset in your ML and DL projects, follow these steps:

- Clone or download the salmon scan dataset repository from GitHub.
- Use standard libraries such as numpy or pandas to convert the images into arrays, which can be input into a machine learning or deep learning model.
- Split the dataset into training, validation, and test sets as per your requirement.
- Preprocess the data as needed, such as resizing and normalizing the images.
- Train your ML/DL model using the preprocessed training data.
- Evaluate the model on the test set and make predictions on new, unseen data.
DOI: 10.17632/358bfdjvwg.2
title: Atomic Mass – Energy-Primary Colour

description: Lot of out of text question arise in childhood mind during study in between different problems. Like – E=mc2 ; then ,what is the relation of E (energy) with “c2”? Different food item, Bettery;etc. have energy; in which “c2 or,the reation of the speed of ligft with it , or,why the orbit of electron of an Atom is like this etc. The calculations or, formulae which have shown in this is based on Every element are created from the collaboration of different energy. This energy known as heat energy, magnetic energy , light energy etc. Since then, many more articles have been published in data format in support of this article and in a (strongly) scientifically sound manner, arguing that the quantum numbers used in this article and all the other mathematical calculations used in this article are not unreasonable or unrealistic. Where we can find out many unknown facts of science by placing the calculations obtained in my article in place of different numbers or units used in modern science. E.g, As in all these articles, the source of Pi has been obtained in different ways or the sources of numbers like 22, 7, 9, etc., so if we put the calculation of 22 and 7 sources in place of Pi, we will understand why Pi has been used as mentioned. Or what is the secret of Pi. So I request all the readers to read every article written by me. All of these articles can be found by searching Google or Mendeley Data. There are also many well-known organizations and social media (like Google - Blog, Twitter, Facebook, etc) around the world who are relentlessly striving to advance science, exploring every article I write. Explore at ‘narcis.nl, easy.dans.knaw.nl, mendeley.figshare.com, datacite.com, commons datacite.com, datasetsearch.research.google.com, semanticscholar.org, b2find.eudat.eu, etc.
DOI: 10.17632/8vhmgcczwr.1
title: Data for: Mars Global Simulant MGS-1: A Rocknest-based open standard for basaltic martian regolith simulants

description: - Particle size distribution for the MGS-1 prototype simulant - Visible-near infrared spectra of MGS-1 prototype simulant and previous Mars simulants for comparison - Thermogravimetry analysis data for MGS-1 prototype - Evolved Gas Analysis for MGS-1 prototype
DOI: 10.17632/c4jc7k5ptx.1
title: Earlydrain

description: The EARLYDRAIN trial investigated whether prophylactic lumbar cerebrospinal fluid drainage improves clinical outcome measured by the modified Rankin Scale score among patients with aneurysmal subarachnoid hemorrhage. 287 patients were randomized to receive either standard of care only or additionally a lumbar drain for the first 8 days after treatment of the aneurysm. Findings indicate that among patients with aneurysmal subarachnoid hemorrhage, lumbar drainage additional to standard of care improves clinical neurological outcomes at 6 months.
DOI: 10.17632/jdbfy6crpn.2
title: Results of performing of eight lucid dream deepening techniques by practitioners and R analysis script

description: Results of performing of eight techniques for increasing perception vividness, or deepening techniques (DTs) in lucid dreams (LDs) by practitioners from December 23, 2018, to November 11, 2022. Experimental task Each DT corresponded to a specific task. Volunteers could participate in one or more tasks. A separate LD experience was required to perform each DT. Participants were instructed to initiate LD by any method and immediately perform a DT corresponding to the task without using other techniques that could affect perception vividness. Then, participants were to pay attention to how perception vividness changed. Regardless of the result, participants were allowed to perform each experiment only once before submitting their reports on the website. Also each participant reported which LD induction method they used, all the LD events, the LD termination type, and the number of LDs experienced in their lifetime. Tested DTs This study compared eight DTs: imagining wakefulness, spinning, falling upside down, warming up, verbal command, vibrations, obscene expressions, and palpation. For each DT, except for palpation, tasks were provided in Russian. For palpation DT, the task was presented in English. Statistical analysis Eight DTs correspond to the five principles on which they are based (DT types): sensory, motor, vestibular, emotional, and suggestion types. Sensory - palpation, vibration; Motor - warming up; Vestibular - falling upside down, spinning; Emotional - obscene expressions; Suggestion - imagining wakefulness, verbal command; Rows: 1) DT name - imagining wakefulness, spinning, falling upside down, warming up, verbal command, vibrations, obscene expressions, palpation; 2) DT type - sensory, motor, vestibular, emotional, suggestion; 3) STATUS yes/no (did the technique lead to an increase in perception vividness in LD) - yes, no, n/a (other or unclear); 4) STATUS (specific result of DT performing) - Same (real) (perception vividness remained at a high level), worked (perception vividness increased without exceeding that experienced during wakefulness), hyper (DT led to perception vividness exceeding that experienced during wakefulness), foul (LD termination), decrease (decrease in perception vividness), Same (low) (perception vividness remained at a low level), n/a (other or unclear); 5) GENDER - m, w; 6) LDs number (the number of LDs in a practitioner's lifetime) - 1(&lt;4), 2(4-10), 3(11-30), 4(31-100), 5(101-500), 6(&gt;500); 7) METHOD (LD induction method) - indirect (upon awakening), direct (without sleeping, upon falling asleep, or immediately after falling asleep), ld (becoming conscious during a dream), n/a (other or unclear); 8) END (LD termination type) - force (unintentional natural awakening), dream (unintentionally falling asleep or getting lost in a dream plot), outer (awakening due to external factors), self (intentional awakening), fake (unrecognized false awakening), n/a (other or unclear).
DOI: 10.17632/7hgspb5gn7.1
title: Datasets associated with "Disordered clock protein interactions and charge blocks turn an hourglass into a persistent circadian oscillator".

description: These datasets correspond to the paper by Jankowski et al. 2024, Nature Communications. Within the CCD Array Luciferase Reporter Trials folder are the original Lightfield image stacks that can be opened in ImageJ with a .spe plugin (Plate 1 is at top of images, Plate 2 at bottom) and an Excel Sheet with raw extracted relative luminescence values per hour after constant darkness. Within the FRQ Peptide Microarrays folder, there are the original microarray images and images in .tif format, as well as an Excel file outlining the two designed FRQ-based peptide libraries and extracted intensity values from the microarray images using TIGR Spotfinder.
DOI: 10.17632/7mrytjdztj.1
title: AIDIS DATA 1992 2003 2013

description: All India Debt and Investment Survey conducted decennially by NSSO. It is a national level survey that is conducted using two stage sampling. In all covers more than 310,000 households of which more than 180,000 are from rural areas. This is the only comprehensive dataset that examines debt and indebtedness in considerable detail and allows us to paint a national level picture of indebtedness among various sections of the Indian society
DOI: 10.17632/n9zb99gnpc.1
title: Pengabdian Masyarakat dengan Pembelajaran membuat sabun dari limbah bunga

description:  An economic increase in a city that is getting better, has an impact on visiting tourist areas in a city and its surroundings. Bandung city which has many tourist destinations, making the tourist destination increase tourists and increase the activity and the need for consumptive products including agro products. through the activities carried out, we convey how to process flower waste owned in the Cihideung village area with agro-industrial techniques into solid soap, so that flower waste can be utilized properly
DOI: 10.17632/kp89xh68p2.1
title: Screen Detection YOLOv8

description: This dataset includes images and annotations of five digital screens, which are "phone screen", "laptop screen", "tablet screen", "TV screen" and "desktop computer screen" respectively. The entrire dataset was generated using the platform of Roboflow out of 2,042 annotated images, containing resources found in the "Universe" forum. The "best.pt" is the trained model file that can be retrieved through YOLOv8 and python scripts.
DOI: 10.17632/d63f7yzk3j.1
title: 2023_MBL_western_blots_translatome_manuscript

description: The files contained herein are the original, unmodified western blots shown as panels in the main and supplementary figures for the manuscript.
DOI: 10.17632/4vm9fhyvh3.1
title: KANTBP 3.1: A program for computing energy levels, reflection and transmission matrices, and corresponding wave functions in the coupled-channel and adiabatic approaches

description: A FORTRAN program for calculating energy values, reflection and transmission matrices, and corresponding wave functions in a coupled-channel approximation of the adiabatic approach is presented. In this approach, a multidimensional Schrödinger equation is reduced to a system of the coupled second-order ordinary differential equations on a finite interval with the homogeneous boundary conditions of the third type at left- and right-boundary points for the discrete spectrum and scattering problems. The resulting system of such equations, containing potential matrix elements and first-derivative coupling terms is solved using high-order accuracy approximations of the finite element method. The scattering problem is solved with non-diagonal potential matrix elements in the left and/or right asymptotic regions and different left and right threshold values. Benchmark calculations for the fusion cross sections of 36S+48Ca, 64Ni+100Mo reactions are presented. As a test desk, the program is applied to the calculation of the reflection and transmission matrices and corresponding wave functions of the exact solvable wave-guide model, and also the fusion cross sections and mean angular momenta of the 16O+144Sm reaction.