cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/55fwnwzzjw.1
title: Data for: Processes leading to reduced and oxidised carbon compounds during corrosion of zero-valent iron in alkaline anoxic conditions.

description: It is the identification and quantification of organic compounds released during corrosion of iron powders under alkaline and anoxic conditions in the general framework of radioactive waste managements.
DOI: 10.17632/gs8nt4c8r8.2
title: Why did shareholder liability disappear?

description: Replication files for the article 'Why did shareholder liability disappear?'
DOI: 10.17632/mncwm9fp37.1
title: How Do Treasury Dealers Manage Their Positions?
DOI: 10.17632/b35yrbh762.2
title: Dry Fish Dataset

description: It is collection of 8290 high quality images of dry or dried fish of five most popular categories. Each species is stored in separate folder. Each species has two sub folders which consists of single and bulk images of that category. 
Categories include Prawns (Shrimp), Small Anchovi (Tingali), Golden Anchovi (Mandeli), Mackerel (Bangada) and Bombay Duck (Bombil).
Captured using mobile phones for real-world authenticity.
Ideal for Machine Learning, Animal Science, and Food Science.
This dataset can be use for training AI models to recognize, automatic sorting and grading different types of dried fish based on appearance. Also, for developing food recognition apps that can identify dried fish dishes in images.
DOI: 10.17632/b3jy2p6k8w.1
title: SAR-CLD-2024: A Comprehensive Dataset for Cotton Leaf Disease Detection

description: The Cotton Leaf Disease Detection Dataset represents a valuable resource for researchers, practitioners, and stakeholders in the agricultural sector, offering insights and tools to address the challenges associated with cotton leaf diseases effectively. Through accurate identification and classification of cotton leaf diseases, the dataset enables early detection, empowering farmers to take timely actions and optimize crop management strategies. Moreover, it supports the advancement of machine learning algorithms and methodologies for disease detection, fostering innovation in agricultural research. This dataset comprises meticulously curated images capturing various stages of cotton leaf diseases, sourced from the National Cotton Research Institute field in Gazipur. These images, captured using a Redmi Note 11s smartphone, represent a diverse range of disease manifestations across different dimensions. Despite challenges like fluctuating lighting conditions, field surveys conducted between October 2023 and January 2024, guided by domain experts, ensured high-quality image acquisition. The dataset contains 2137 images divided into seven classes, covering various cotton leaf conditions like bacterial blight, curl virus, and healthy leaves. These classes represent different issues affecting cotton plants, including diseases, pests, and environmental stress. Additionally, the dataset undergoes thorough preparation and augmentation procedures, including data cleaning, labeling, and augmentation techniques such as flipping and brightening. As a result, it comprises 2137 original images and 7000 augmented images, enhancing the effectiveness of deep learning models for precise classification and diagnosis of cotton leaf diseases.

1. Original (Cotton Leaf Disease Detection) Dataset:
 Number of datasets: 2137
 Data format: .jpg

2. Augmented (Cotton Leaf Disease Detection) Dataset:
 Number of datasets: 7000
 Data format: .jpg
DOI: 10.17632/t53myhzwdk
title: Characteristics of Inorganic Carbon Pool Changes in Mu us Sandy Land

description: The data illustrates the characteristics of changes in total inorganic carbon and inorganic carbon in different soil particles during vegetation restoration in desert areas, as well as changes in physical and chemical factors.
DOI: 10.17632/5tz78mcfhr.1
title: Parameters for assessment of newborn at birth, intestinal dysbiosis and permeability, infant feeding collected at 0,1,3,6 months of age

description: The study included 100 mother-child pairs, in the neonatal period, 3mths, 6mths after delivery
by natural means or after cesarean section. A standardized survey was conducted in mothers
questionnaire, regarding the risk factors present that may affect the intestinal function of their children. All children were examined, and their anthropometric data were
cross-referenced with birth parameters and the postnatal adaptation period. In order to assess
intestinal permeability and dysbiosis parameters, concentrations of
of zonulin and LPS by immunoenzymatic method and other parameters assessing intestinal permeability.
DOI: 10.17632/p4n33t4w3x.1
title: Dataset of Digital Marketing Research (1982-2019)

description: The digital marketing research & publication dataset, which was indexed by Scopus from 1982 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/zz8hpyx939.1
title: Run-to-failure vibration dataset of self-aligning double-row ball bearings - PART 2

description: Data sourced from actual operational systems constitutes a pivotal asset for scholarly investigations in the domain of machine diagnostics and prognostics. The exigency for such data has witnessed a notable surge in recent times, primarily propelled by the burgeoning interest in prognostic methodologies and the advancement of artificial intelligence (AI) technologies tailored for predictive maintenance applications. When harnessed for fault detection and prognostic endeavors, data must inherently possess the capacity to furnish insights into the degradation phenomena inherent to machinery. Moreover, a fundamental aim of prognostics entails the anticipation of the remaining useful life (RUL), a task necessitating substantial datasets for the application of data-driven techniques or the validation of physics-based models.

Bearings, being subjected to a diverse spectrum of loads and fatigue stresses, carry the potential for catastrophic failure, thereby impacting the operational integrity of entire machinery systems or industrial plants. 

The Department of Engineering at the University of Ferrara has undertaken an extensive experimental campaign aimed at documenting the temporal evolution of vibration signals over the lifecycle of self-aligning double row rolling element bearings. Six accelerated run-to-failure trials were conducted, during which acceleration signals were continuously captured utilizing a uniaxial accelerometer. Concurrently, a radial load was imposed on the bearing housing and regulated via a load cell. Ensuring consistency, the shaft speed was maintained at a constant level, facilitated by an electric motor actuated by an inverter.

The resultant dataset encapsulates acceleration signals along the radial axis spanning the entirety of the experimental tests, thereby offering a valuable resource for both scholarly inquiry and industrial applications alike.

This dataset provides the Part 2 of data collected during the experimental campaign.
Data is provided in .mat format and each file contains two variables: the acceleration signal in radial direction and the sampling frequency.
DOI: 10.17632/6v5r6jmd3y.1
title: AI-Mediated Communication: Effects on Language and Interpersonal Perceptions

description: Included are data illustrating that even though AI can increase communication efficiency and improve interpersonal perceptions, it risks changing users’ language production and continues to be viewed negatively. The csv files include data from two studies, and the Read text file includes information to interpret the variables used. In Study 1, we randomly assigned participants into three different messaging conditions: 1) both participants can use smart replies (i.e., suggested responses generated using the Google Reply API, 2) only one participant can use smart replies, or 3) neither participant can use smart replies. After discussing a policy issue, participants were given a definition of smart replies and asked to rate how often they believed that their partner had used them. They also responded to established measures of dominance and affiliation and perceived cooperative communication. We find that although perceived smart reply use is judged negatively, actual use results in more positive attitudes. Moreover, we find that conversation sentiment became more positive as a result of both the self using more smart replies and the partner using more smart replies. To better understand how the sentiment of AI-suggested responses affects conversational language, in Study 2, we randomly assigned pairs to discuss a policy issue using our app in one of four conditions: with Google smart replies (i.e., participants receive suggested responses generated using the Google Reply API, positive smart replies (i.e., participants receive suggested responses that have positive sentiment), negative smart replies (i.e., participants receive suggested responses that have negative sentiment), or no smart replies. We find that the presence of positive and Google smart replies caused conversations to have more positive emotional content than conversations with negative or no smart replies. These findings demonstrate how AI-generated sentiment affects the emotional language used in human conversation. Due to the potentially sensitive nature of information revealed by participants in the conversations, participants were assured that the raw conversation data would remain confidential and not be shared.
DOI: 10.17632/ggbt77tfk6.2
title: Polar low cases for 2000/2001-2003/2004

description: Polar low cases over the Nordic Seas (Norwegian, Greenland and Barents seas) for 2000/2001-2003/2004.
DOI: 10.17632/cd5pwwc2sx.2
title: Exploring the Professional Identity of Advanced Clinical Practitioners: Constructivist ethnographic qualitative research study

description: Background: The Advanced clinical practitioner, is a healthcare professional who has undertaken additional years of Master's level training, acquired new skills and capabilities and developed as an autonomous practitioner. 

Purpose: Whilst several studies have appraised and analysed this professional role, there are limited empirical studies that have explored professional identity formation within this group. This paper explores this evolution. 

Method: Through a constructivist ethnographic approach, we conducted semi-structured interviews with seven qualified Advanced clinical practitioners within a secondary care setting. We identified key issues regarding professional identity formation. 

Results: Our research highlights the lack of role recognition which acts as a barrier to Advanced clinical practitioner professional identity formation and further development. 

Conclusion: Professional identity is an intertwined concept and without enhancing all the components involved in identity formation, the solo individual component cannot enact the formation of a new identity if this is not legitimated by the other components too, including personal, socio-cultural, educational and institutional.
DOI: 10.17632/dj4xnpgsnm.1
title: (DATASET) INNATION CAPABILITY: DETERMINANTS RELATIONSHIPS

description: This dataset presents an analysis of relationships beteween the determinats conforming the national innovation capability.
DOI: 10.17632/jvszp9cbpw.4
title: SenMangoFruitDDS

description: SenMangoFruitDDS is a dataset of mango fruit diseases containing images of 224*224 in JPG format. The dataset contains images of four diseases namely Alternaria, Anthracnose, Black Mould Rot and Stem and Rot. An additionnal category in the dataset is healthy fruits. Fruit images are captured from an orchard located in Senegal, using mobile phone camera. Two versions are proposed: SenMangoFruitDDS_original is the one with original images and SenMangoFruitDDS_bgremoved contains images with background remove.
DOI: 10.17632/mtsd6vzb6b.1
title: Data for: An exception to the rule: captivity does not stress wild migrating northern wheatears

description: The raw data set as used for the statistical analyses.
DOI: 10.17632/bmp4wzrgnk.9
title: Excel Pricing Workbook: Cross Currency Swap Theory & Practice - An Illustrated Step-by-Step Guide of How to Price Cross Currency Swaps and Calculate the Basis Spread

description: Cross Currency Excel Pricing Workbook and Bloomberg SWPM Snapshot Document
DOI: 10.17632/knnrt4v3zf.1
title: Business AI Intergration | AI Solutions for your Business | TheSixth.ai

description: We will help you discover AI-driven strategies and solutions to accelerate your business growth. Join TheSixth.ai for expert workshops, tailored AI roadmaps, and ethical AI integration today!
DOI: 10.17632/s9pb3h2cjy.3
title: UDDIPOK:  Reading Comprehension Based Question Answering Dataset in Bangla Language

description: The urgency of the online education system can be understood during the COVID-19 pandemic. The entire world, including Bangladesh, moved to online education and focused on developing automated systems. This dataset is created for developing automatic reading comprehension systems in the Bangla language. We have also provided the English Translation of this dataset. The dataset contains the following parameters:

1. A real-time and long passage (context) in the Bengali language is collected from different Bangla articles, novels, biography, etc.
2. Questions are generated based on the given passages.
3. Answers' text of the given passage and question.
4. The start index of the answer in the passage.
DOI: 10.17632/29thgzj9jr.1
title: Data for: Rapid drinking water safety estimation in cities: piloting a globally scalable method in Cochabamba, Bolivia.

description: Raw data accompanying manuscript: Rapid drinking water safety estimation in cities: piloting a globally scalable method in Cochabamba, Bolivia
DOI: 10.17632/nvgkbwkbm9.1
title: Land price and plant fixed cost by district

description: This is the relevant datasets for land price and plant fixed cost grouped by district in the Northern region of Thailand
DOI: 10.17632/rbn6nmygcn.1
title: A Kiswahili dataset

description: The dataset contains text and audio files.The dataset contains 1,570 text files,and 1,570 audio files.The text files were collected from Kiswahili newspapers, articles, short story excerpts, and novels. The dataset contains 23,487 Kiswahili words. The words were then transcribed into mean words of 14.96 per text file and saved in CSV format. Each text file was divided into three parts: unique id, transcribed words, and normalized words. A unique id is a number assigned to each text file. The transcribed words are the text spoken by a reader. Normalized texts are the expansion of abbreviations, numbers, and the letter-sequence into full words. A recording per line was made for each text file and assigned a unique id, same as the text file. The audio recording was made in the audacity software using a professional microphone in a least-noisy environment. The audio length for each recording lasted between 1s to 12.5s. .Each audio file's properties include a sampling rate of 22.05 kHz and 16-bit single-channel unsigned PCM. The audio and the text file created meet the required properties for use in building a TTS system.
DOI: 10.17632/sk9v5w64br.1
title: Healthy and Unhealthy Areca Nut Images 

description: Images of raw areca nuts are collected by visiting different areca nut plantations. The healthy and unhealthy areca nuts images are available in the dataset. Different images of areca nuts with various textures and colors (yellow, green, and red)  were taken against various backgrounds. The photographs that are collected have not undergone any kind of processing. These images can be used to train machine learning and deep learning models to classify healthy and unhealthy areca nuts. Further the images are preprocessed to decrease the various background and noise and are segmented for better classification accuracy. The repository contains images of raw areca nuts with husk unlike other repositories that contains boiled and processed areca nuts without husk. This enables a better training of the classification system.
DOI: 10.17632/w2n6rvdp87.1
title: Detailed Analysis and Characterization of Subjective Assessment Indicators of Manual and Automated Parking Maneuvers Research Data

description: Characterization data of manual and fully automatic as well as longitudinal and lateral parking maneuvers. The data include the participants' characterization of the Subjective Assessment Indicators.
DOI: 10.17632/d73jhrxdx3.1
title: Reduce before you factorize

description: In the associated paper, we propose a speed-up of existing Boolean matrix factorization algorithms by reducing the size of an input matrix. This data package contains folders with PDF charts that complement the findings presented in the paper.

S1 - Benchmark speed
This folder contains charts for each benchmark dataset, comparing the runtimes of the modified Asso and GreConD algorithms with their unmodified counterparts. The charts show the number of factors found over time (seconds).
The point where the lines stop increasing indicates the final runtime of the given algorithm.

S2 - Benchmark coverage
This folder contains results that highlight the importance of algorithm modifications for computing factorization on clarified data. Results with the "Extended" prefix correspond to the modified algorithm from the paper, while the others depict the behavior of the unmodified version on the clarified matrix.
DOI: 10.17632/825zc3xwz4.1
title: Mini-lysimeter Hardware

description: Development of more efficient and sustainable irrigation technology is critical to maintain horticultural production in a water scarce future. Sensor controlled irrigation is an emerging technology that has the potential to increase irrigation efficiency and reduce overwatering by using real-time data on container water status to control the timing and volume of irrigation events. This project presents a novel irrigation control system using lysimetry. We develop small scale lysimeters, referred to as mini-lysimeter, which provide a direct measure of actual evapotranspiration (ET) via a change in mass of containerized crops. This data repository provides the necessary documents and designs to reproduce a mini-lysimeter controlled irrigation system for use in container nurseries. The repository includes CAD files of the mini-lysimeter design, a bill of materials for device assembly, and documentation on data logger wiring.
DOI: 10.17632/nvnz4d44m2.3
title: Dataset for Behavioral Intentions based on Learning Acceptance of Information Flow Diagram Capability for Software Design

description: Thailand's private and public university students were the target demographic. Student's behavioral intentions to learn information flow diagrams for two semesters, from January 2021 to February 2022, were collected after the class. Primary data sources were collected from distributing online questionnaires (Google Forms). This study's sample consisted of 537 individuals with various characteristics who were required to examine a new software design called an information flow diagram for software design. The authors distributed and collected 537 completed questionnaires. During the survey, no invalid response forms were submitted. The authors conducted a survey using a sample of 537 students from four private and public universities.
Region: Asia
Kingdom of Thailand
DOI: 10.17632/g67bkbnhhg.1
title: Mapping single cell transcriptomes in kidney cancer

description: Tumour behaviour is intricately dependent on the oncogenic properties of cancer cells and their multi-cellular interactions. To better understand these dependencies within the wider micro-environment, we studied over 270,000 single cell transcriptomes and 100 micro-dissected whole exomes from 12 patients with kidney tumours, prior to validation through the use of spatial transcriptomics. Tissues were sampled from multiple regions of the tumour core, the tumour-normal interface, normal surrounding tissues, and peripheral blood.
DOI: 10.17632/dc58bpzjfy.1
title: Hydroelectric Power Plant Data

description: Hydroelectric power plant operational data
DOI: 10.17632/4wbbs3b9h8.1
title: Data for: Why So Many Published Sensitivity Analyses Are False. A Systematic Review of Sensitivity Analysis Practices

description: This is the initial query data base
DOI: 10.17632/drtyc2gbv8.2
title: Climate Transition and Its Influence on ROE

description: Dataset after treatment used for MSc dissertation, with 74 listed energy firms in China covering the years of 2018-2021. The dataset includes 40 indicators of both financial ratio indicators and energy firms operations in renewables, such as renewable energy installations, power generated and their ratio to total capacity or total power generation.
DOI: 10.17632/gzt6n75cxc.1
title: Data for: Revision of the 60-GHz atmospheric oxygen absorption band models for practical use.

description: Files '???.txt' (where ??? is 3-digit number) contain refined experimental recordings in dry air from the resonator spectrometer data order is: 1 line: number of points, air pressure (Torr) 2 line: temperature (K), adjusted O2 concentration (percent) following lines: frequency (GHz), absorption (dB/km) Files 'y.txt', 'g.txt' and 'delta_nu.txt' contain the corresponding mixing parameters with the uncertainties. Column order is: Z0 (constant part of the parameter, corresponding to the value at 300 K), Z0 uncertainty, Z1 (T-depending part), Z1 uncertainty. Transitions order is 1-,1+,3-,3+,5-,5+...37-,37+ Files 'O2_air_covariance.txt' and 'O2_air_correlation.txt' contain the covariance and sign-adjusted correlation matrices. Index ordering is: 1 --- band intensity, 2 --- temperature dependence exponential factor $x$, 3 --- non-resonant (Debye) absorption effective broadening coefficient, 4 to 41 --- air-broadenings $\gamma$, 42 to 79 --- $y^0$, 80 to 117 --- $y^1$, 118 to 155 --- $g^0$, 156 to 193 --- $g^1$, 194 to 231 --- $\delta\nu^0$, 232 to 269 --- $\delta\nu^1$
DOI: 10.17632/zmwfnsms9n.1
title: Arabic Twitter Conversation Dataset about COVID-19 Vaccine

description: This dataset comprises different databases of Arabic Twitter posts related to Covid-19 vaccine. The dataset contains 1.1M Arabic tweets The dataset was streamed over one year, covering the period from January to December 2021. The data was collected using a set of Arabic keywords.
DOI: 10.17632/3pnk7ycx5t.1
title: Regional digitalization, dynamic capabilities and green innovation: Evidence from e-commerce demonstration cities in China

description: This replication folder contains the code and data used to obtain the results presented in the paper “Regional digitalization, dynamic capabilities, and green innovation: Evidence from e-commerce demonstration cities in China” by Zhaobin Fan, Rui Long, and Zhixuan Shen.
DOI: 10.17632/y6w7cf53m9.1
title: PFAS in sediments and fishes in Tampa Bay

description: The objective of this study is to quantify PFASs in sediment and fishes collected from Tampa Bay to further estimate human health risks from dietary exposures. Sediment (n = 17) and fish (24 species, n = 140) were collected throughout Tampa Bay in 2020 and 2021 and analyzed for 25 PFAS compounds. Concentrations of PFASs in sediments and edible tissues of fish ranged from 36.8 to 2,990 ng kg-1 (dry weight) and 307 to 33,600 ng kg-1 (wet weight), respectively. Generally, levels were highest in Old Tampa Bay and decreased south towards the Gulf of Mexico. Profiles in both matrices were generally dominated by perfluorooctane sulfonic acid (PFOS) with variations by location.
DOI: 10.17632/h8xtfts2vy
title: Nick-mediated GAA repeat expansion_fluc assay

description: Fluctuation assay data for nick-mediated (GAA)n repeat expansions.