cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6xg75kr8gb.2
title: Reasons for the superior annealing-induced hardening behavior of the Cr27.3Co33.3Ni33.3Mo6 and MP35N alloys compared to the equiatomic CrCoNi medium-entropy alloy

description: In this compilation of data, we unconver reasons for the superior annealing-induced hardening behavior of the Cr27.3Co33.3Ni33.3Mo6 (Mo-6) and MP35N alloys compared to the equiatomic CrCoNi (Mo-0) medium-entropy alloy. All the data are ORIGIN and EXCEL files (.opj and .xlsx). Here is a short description of the origin files, which are numbered according to their order of appearence in the corresponding research article and supplementary materials: 
FigS1: Reproducibility of tensile tests.
Fig01+S2+S3: Vickers microhardness of Mo-6 after two-step hardening.
Fig02: Tensile responses of Mo-0 and Mo-6 MEAs. 
Fig06: 1D-composition profiles (crossing a GB and TBs) of the elements extracted from APT experiments.
Fig07: The plot shows the temperature dependence of Vickers microhardness over the whole longitudinal-section of the Mo-0 and Mo-6 MEAs, from which the recrystallization temperature can be determined.
Fig08: Effect of plastic deformation and post-deformation condition (as-swaged and post-deformation annealed for 4 h at 773 or 923 K) on the yield stress and ultimate tensile strength (UTS) in Mo-0 and Mo-6 MEAs.
Fig10+S11: Relative strengthening related to post-deformation annealing in the Mo-0 and Mo-6 MEAs.
Fig11: Ashby map showing the ultimate tensile strength as a function of elongation to fracture of CrCoNi-based MEAs and HEAs.
FigS9+S10: XRD patterns of Mo-6 and MP35N.
DOI: 10.17632/jvgsf5ghhm.1
title: Ecological Value

description: The study of tourists' pro-environmental behavior has become a hot topic in academia, as it can promote the sustainable development of ecological tourism in national forest parks. However, little research has been conducted on the awakening process of ecological values, which is highly correlated with tourists' pro-environmental behavior. Therefore, this article selects Wuyishan National Forest Park in China as the research object and uses the PLS-SEM analysis method to explore the relationship between ecological values and tourists' pro-environmental behavior, incorporating place attachment into the research. The study shows that: 1) ecological values and place identity have a significant positive impact on tourists' pro-environmental behavior; ecological values have a significant positive impact on place dependence, place identity, and ecological values themselves; 2) ecological values can indirectly affect pro-environmental behavior through the mediating effect of place identity or the chain mediation effect of place dependence and place identity; 3) the direct relationship between ecological values and pro-environmental behavior is moderated by age among demographic variables, while the indirect relationship between ecological values and pro-environmental behavior is moderated by gender and age. The results provide a theoretical basis for effectively stimulating pro-environmental behavior among national forest park tourists.
DOI: 10.17632/5vrpgytcjj.1
title: Zinc supplementation decreased incidence of grade≥2 hand-foot skin reaction induced by regorafenib: a phase II randomized clinical trial

description: supplemental Figure 1
DOI: 10.17632/63fpbc9cm4.2
title: UCTH Breast Cancer Dataset

description: Research Hypothesis: 
This study hypothesizes that there are significant associations between the diagnostic characteristics of patients, including age, menopause status, tumor size, presence of invasive nodes, affected breast, metastasis status, breast quadrant, history of breast conditions, and their breast cancer diagnosis result. 

Data Collection and Description:
The dataset of 213 patient observations was obtained from the University of Calabar Teaching Hospital cancer registry over 24 months (January 2019–August 2021). The data includes eleven features: year of diagnosis, age, menopause status, tumor size in cm, number of invasive nodes, breast (left or right) affected, metastasis (yes or no), quadrant of the breast affected, history of breast disease, and diagnosis result (benign or malignant).

Notable Findings:
Upon preliminary examination, the data shows variations in diagnosis results across different patient features. A noticeable trend is the higher prevalence of malignant results among patients with larger tumor sizes and the presence of invasive nodes. Additionally, postmenopausal women seem to have a higher rate of malignant diagnoses.

Interpretation and Usage:
The data can be analyzed using statistical and machine learning techniques to determine the strength and significance of associations between patient characteristics and breast cancer diagnosis. This can contribute to predictive modeling for the early detection and diagnosis of breast cancer.

However, the interpretation must consider potential limitations, such as missing data or bias in data collection. Furthermore, the data reflects patients from a single hospital, limiting the generalizability of the findings to wider populations.

The data could be valuable for healthcare professionals, researchers, or policymakers interested in understanding breast cancer diagnosis factors and improving healthcare strategies for breast cancer. It could also be used in patient education about risk factors associated with breast cancer.
DOI: 10.17632/kbp363shw2.1
title: Matrices para el análisis de comunidades de la Red de Vélez de Rivero, Provincia de Antioquia S. XVII

description: Contiene las matrices de Ucinet para al ARS empleado para la construcción del artículo La elección matrimonial como estrategia de reproducción de las élites locales en las sociedades del Antiguo Régimen. El caso de la Provincia de Antioquia en el S. XVII visto desde el Análisis de Redes Sociales.
DOI: 10.17632/rkd5vpbtv5.1
title: Harbour geoarchaeology of Lechaion sheds new light on economics during the LBA/EIA transition. XRF and granulometry datasets

description: Raw XRF and laser granulometry datasets for cores Drill2 and tar11
DOI: 10.17632/8p6ct5k4wh.1
title: PFSSA

description: The Psychological Food Safety and Sovereignty Analysis (PFSSA) dataset is a comprehensive collection of data and analysis pertaining to individuals' perceptions of food safety, sovereignty, and support in obtaining chemical-free and pesticide-free food from nearby sources such as shopping centers, farms, urban gardens, and neighbors. This dataset aims to provide insights into individuals' beliefs, attitudes, and behaviors related to the safety and quality of food available in their local environment.

The PFSSA dataset consists of the following items:

Questionnaire Design: This component of the dataset includes the design and structure of the questionnaire used to collect information for the PFSSA analysis. The questionnaire is carefully crafted to capture various aspects related to food safety, sovereignty, and access to chemical-free and pesticide-free food. It comprises 14 sections of questions covering different dimensions of individuals' perceptions and behaviors.

Responses (CSV file): This part of the dataset contains the responses collected from participants based on the questionnaire mentioned above. The responses are stored in a CSV (Comma-Separated Values) file format, ensuring easy accessibility and compatibility with various data analysis tools and software.

Analysis of the Collected Data: The dataset includes an analysis of the collected data, presenting insights, patterns, and trends derived from the responses. The analysis encompasses statistical measures, data visualization, and interpretation of the findings. It sheds light on the relationships between individuals' beliefs, attitudes, and behaviors related to food safety and sovereignty.

By making the PFSSA dataset publicly available, researchers interested in the field of food safety, sovereignty, and related psychological analysis can access and utilize this dataset to reproduce the research work, validate findings, and conduct further investigations. The dataset fosters transparency and reproducibility, enabling future researchers to build upon the existing knowledge and contribute to advancements in the understanding of individuals' perceptions and behaviors concerning chemical-free and pesticide-free food.

Please note that proper attribution and citation of the dataset should be provided to ensure the acknowledgment of the original researchers and their contributions to the field.'
DOI: 10.17632/2g8hftwm7z.1
title: Social Network Data

description: We are providing the dataset that are used in our article.
DOI: 10.17632/nk2m6dmscg.1
title: Simulation data of Properties of water and argon clusters developed in supersonic expansions.

description: Supplemental material for paper "Simulation data of Properties of water and argon clusters developed in supersonic expansions"

File contains tabulated values of  cluster cross-sections in .pdf and .csv file formats.
DOI: 10.17632/57sp2vxy3b.1
title: SDG3 Dataset based on Scopus, Dimensions (2018-22)

description: This dataset has over 20,000 bibliographic records from Scopus and Dimensions database based on SDG 3 mappings.
DOI: 10.5281/zenodo.7431561
title: Dataset: Palladio Context-based Scenario Analysis

description: The dataset for our Palladio context-based scenario analysis. Please read the contained README.md for more information.
DOI: 10.5281/zenodo.7431562
title: Dataset: Palladio Context-based Scenario Analysis

description: The dataset for our Palladio context-based scenario analysis. Please read the contained README.md for more information.
DOI: 10.17632/w9f5kw2nbd.1
title: Dataset for the Moroccan outdoor space dedicated to helping blind people

description: The dataset comprises photos captured in the city of Casablanca, with the specific aim of developing a DeeplabV3-based solution. This solution aims to enhance the autonomy of visually impaired individuals during outdoor navigation by providing real-time information about the objects present in their surroundings.

The photos were taken with the aim to cover a wide range of diverse situations that visually impaired individuals, whether partially sighted or blind, may encounter. The photos maintain relatively consistent spatial resolution.
DOI: 10.17632/r96kpf7ytb.1
title: Bidisperse beds sheared by viscous fuids: Grain segregation and bed hardening

description: These files contain both raw and converted movies of the experiments for short (20 to 40 min)- and long-time (140 hrs) evolution of a bidisperse bed sheared by a viscous liquid, in order to analyze segregation rates, their evolution along time, their variation with the applied shearing, and the time evolution of creeping and bedload. In Addition, we uploaded Matlab script for processing images by applying the method presented by Houssais et al., Nat. Commun., 2015. which allows the detection of the grains in each image. Moreover, the scripts use the Kalman filter in order to assign a unique number to each grain that was previously detected in each image. With that, we acquired information such as instantaneous position, size of particles, and identification of each particle in each frame  in .txt files
DOI: 10.17632/kgngzzs5c8.1
title: Text Script Analytics Algorithm for Automatic  Video Generation

description: This Python notebook (research work)  provides a comprehensive solution for text analysis and hint extraction that will be useful for making computational scenes using input text .

It includes a collection of functions that can be used to preprocess textual data, extract information such as characters, relationships, emotions, dates, times, addresses, locations, purposes, and hints from the text.

Key Features:

Preprocessing Collected Data: The notebook offers preprocessing capabilities to remove unwanted strings, normalize text data, and prepare it for further analysis.
Character Extraction: The notebook includes functions to extract characters from the text, count the number of characters, and determine the number of male and female characters.
Relationship Extraction: Functions are provided to calculate possible relationships among characters and extract the relationship names.
Dominant Emotion Extraction: The notebook includes a function to extract the dominant emotion from the text.
Date and Time Extraction: Functions are available to extract dates and times from the text, including handling phrases like "before," "after," "in the morning," and "in the evening."
Address and Location Extraction: The notebook provides functions to extract addresses and locations from the text, including identifying specific places like offices, homes, rooms, or bathrooms.
Purpose Extraction: Functions are included to extract the purpose of the text.
Hint Collection: The notebook offers the ability to collect hints from the text based on specific keywords or phrases.
Sample Implementations: Sample Python code is provided for each function, demonstrating how to use them effectively.
This notebook serves as a valuable resource for text analysis tasks, assisting in extracting essential information and hints from textual data. It can be used in various domains such as natural language processing, sentiment analysis, and information retrieval. The code is well-documented and can be easily integrated into existing projects or workflows.
DOI: 10.17632/vgyjc23rnw.1
title: the Vatican in World War One

description: The Role of the Catholic Church during the First World War and the importance of the negotiations led by the Church, particularly by Pope Benedict XV.
DOI: 10.17632/xw9fppvp3d.1
title: Superiority of the Arleigh Burke class Naval Destroyers

description: In depth research into the superiority of the Arleigh Burke class destroyers despite their advanced age.
DOI: 10.17632/jh6979fg2t.1
title: Dataset of Spoilt Banknotes of India (Rupees)

description: Accurate Currency recognition and classification is one of the challenging tasks for visually impaired people. As the damaged banknotes are not accepted by vendors while doing financial transactions, thus it is necessary to classify between spoilt and unspoilt banknotes. With this objective we have created the Spoilt Indian (Rupees) bank-notes dataset. This dataset consists of total 2240 (1120 old banknotes and 1120 new banknotes) high quality images. 
Mobile phones rear camera was used to take the images of spoilt Indian banknotes. The bank-note dataset consists of 8 classes namely Spoilt10 New, Spoilt10 Old, Spoilt20 New, Spoilt20 Old, Spoilt50 New, Spoilt50 Old, Spoilt100 New, and Spoilt100 Old. The banknote images which were soiled, mutated, holed, torn were considered for dataset creation. The images were taken in dark and illuminated backgrounds as well in the cluttered background.
DOI: 10.17632/jh6979fg2t.2
title: Dataset of Spoilt Banknotes of India (Rupees)

description: Accurate Currency recognition and classification is one of the challenging tasks for visually impaired people. As the damaged banknotes are not accepted by vendors while doing financial transactions, thus it is necessary to classify between spoilt and unspoilt banknotes. With this objective we have created the Spoilt Indian (Rupees) bank-notes dataset. This dataset consists of total 2240 (1120 old banknotes and 1120 new banknotes) high quality images. 
Mobile phones rear camera was used to take the images of spoilt Indian banknotes. The bank-note dataset consists of 8 classes namely Spoilt10 New, Spoilt10 Old, Spoilt20 New, Spoilt20 Old, Spoilt50 New, Spoilt50 Old, Spoilt100 New, and Spoilt100 Old. The banknote images which were soiled, mutated, holed, torn were considered for dataset creation. The images were taken in dark and illuminated backgrounds as well in the cluttered background.
DOI: 10.17632/jh6979fg2t.3
title: Dataset of Spoilt Banknotes of India (Rupees)

description: Accurate Currency recognition and classification is one of the challenging tasks for visually impaired people. As the damaged banknotes are not accepted by vendors while doing financial transactions, thus it is necessary to classify between spoilt and unspoilt banknotes. With this objective we have created the Spoilt Indian (Rupees) bank-notes dataset. This dataset consists of total 2240 (1120 old banknotes and 1120 new banknotes) high quality images. 
Mobile phones rear camera was used to take the images of spoilt Indian banknotes. The bank-note dataset consists of 8 classes namely Spoilt10 New, Spoilt10 Old, Spoilt20 New, Spoilt20 Old, Spoilt50 New, Spoilt50 Old, Spoilt100 New, and Spoilt100 Old. The banknote images which were soiled, mutated, holed, torn were considered for dataset creation. The images were taken in dark and illuminated backgrounds as well in the cluttered background.
DOI: 10.17632/6ym99x2y8d.1
title: A mathematical model to predict Transition-to-Fatigueduring isometric exercise on muscles of the lower extremities

description: Some students have request the data set for this research published on Scientific Research as free download in the link: https://www.scirp.org/journal/PaperInformation.aspx?PaperID=26740.  To re-create the importance to identify transitional muscle fatigue stage, because make possible to predict when muscle fatigue will occur, which provides the foundation of the automated system that has the potential to aid in many applications of our lives, including sports, rehabilitation, ergonomics and even neuropathy formation on legs.
DOI: 10.5281/zenodo.8153367
title: Datasets for "Generic and Robust Localization of Multi-Dimensional Root Causes"

description: Datasets <code>A, B0, B1, B2, B3, B4, D</code> in Table VII. The ground truth root cause sets are in <code>injection_info.csv</code> in each subfolder. The official GitHub repo is NetManAIOps/Squeeze: ISSRE 2019: Generic and Robust Localization of Multi-Dimensional Root Cause (github.com)
DOI: 10.5281/zenodo.8153366
title: Datasets for "Generic and Robust Localization of Multi-Dimensional Root Causes"

description: Datasets <code>A, B0, B1, B2, B3, B4, D</code> in Table VII. The ground truth root cause sets are in <code>injection_info.csv</code> in each subfolder. The official GitHub repo is NetManAIOps/Squeeze: ISSRE 2019: Generic and Robust Localization of Multi-Dimensional Root Cause (github.com)
DOI: 10.17632/f4mr55trf6.1
title: mRNA Location and Translation Rate Determine Protein Targeting to Dual Destinations. Gasparski et al

description: Imaging data from Gasparski et al (2023) Mol. Cell, mRNA Location and Translation Rate Determine Protein Targeting to Dual Destinations
DOI: 10.17632/ptcbtvgn7x.1
title: IRIS Data (July 2023)

description: The following IRIS Data includes 201 Central Banking institutions (All Recognized by United Nations) around the world.

The Inception of the IRIS research paper suggests that Multi-National Corporations have an impact by the Monetary Policies of Countries they conduct business in.

The IRIS rate will be used to study the Global Interest Rate Environments.
DOI: 10.17632/jtjg74g55z.1
title: Geochemistry Data_Continental Extensional

description: Geochemistry data for research entitled "Geochemical fingerprinting of continental extensional tectonics: An innovative approach using whole rock HFSE (Nb-Zr) composition".
DOI: 10.17632/khvdw8yxcb.1
title: Ni doped SnS2

description: The data set includes powder XRD, UV Visible, PL,VSM, SEM , EPR data, Jana Reflection files and MEM output files
DOI: 10.17632/zysyyw8z7m.1
title: Discriminant Analysis between Asian weaver ant Brood and Barrack nests 

description: Study of the visual distinction between the brood and barrack nests of the Asian weaver ant colonies in the occupied oil palm plantation in South-East Asia (Malaysia-Indonesia). The discriminant analysis DA determined the height from the ground represented the nest location in the palm canopies as being the main factor helping to visually identify the brood from the barrack nests. The brood nest are located at higher position from ground with a range of 6-15 meters and the barracks nests are located at a range of 4 to 5 m in this study. This is done first time. This is in conjunction for future biological control trial on the invasive bagworm species Metisa plana (defoliator) causing serious yield fresh fruit bunches loss with low quality for over two years period.
DOI: 10.17632/zysyyw8z7m.2
title: Discriminant Analysis between Asian weaver ant Brood and Barrack nests 

description: 1. Investigation of Oecophylla smaragdina growth stage development as : incipient immature pre matured and matured colonies based on the number of occupied palm trees over time from first month to about 4-5 years of colony age. 

2. Determination of colonies age by Pearson correlation coefficient and Poisson Probability analysis. 

3. Study of the visual distinction between the brood and barrack nests of the Asian weaver ant colonies in the occupied oil palm plantation in South-East Asia (Malaysia-Indonesia). The discriminant analysis DA determined the height from the ground represented the nest location in the palm canopies as being the main factor helping to visually identify the brood from the barrack nests. The brood nest are located at higher position from ground with a range of 6-15 meters and the barracks nests are located at a range of 4 to 5 m in this study. This is done first time. This is in conjunction for future biological control trial on the invasive bagworm species Metisa plana (defoliator) causing serious yield fresh fruit bunches loss with low quality for over two years period.
DOI: 10.17632/zysyyw8z7m.3
title: Discriminant Analysis between Asian weaver ant Brood and Barrack nests 

description: 1. Investigation of Oecophylla smaragdina growth stage development as : incipient immature pre matured and matured colonies based on the number of occupied palm trees over time from first month to about 4-5 years of colony age. 
2.  Asian weaver ant nest distribution pattern in oil palm trees from selected plantations (Malaysian Palm Oil Board MPOB Teluk Intan, Perak - Universiti Malaya, Felcra, Boustead plantations Kota Tinggi Sg. Arah Johor - )

3. Determination of colonies age by Pearson correlation coefficient and Poisson Probability analysis. 

4. Study of the visual distinction between the brood and barrack nests of the Asian weaver ant colonies in the occupied oil palm plantation in South-East Asia (Malaysia-Indonesia). The discriminant analysis DA determined the height from the ground represented the nest location in the palm canopies as being the main factor helping to visually identify the brood from the barrack nests. The brood nest are located at higher position from ground with a range of 6-15 meters and the barracks nests are located at a range of 4 to 5 m in this study. This is done first time. This is in conjunction for future biological control trial on the invasive bagworm species Metisa plana (defoliator) causing serious yield fresh fruit bunches loss with low quality for over two years period.
DOI: 10.17632/c6vp83br3p.1
title: ALECTORIS GRAECA SAXATILIS, SPATIAL BEHAVIOUR IN SOUTHWESTERN FRENCH ALPS 2023

description: Locations and breeding status of 88 paired individuals of ALECTORIS GRAECA SAXATILIS from 2012 to 2020. 
Locations were obtained by VHF radio-tracking and breeding was monitored closely.
DOI: 10.17632/5hb8cpbfky.1
title: Supplementary material_Head and venom gland morphology of the common lancehead Bothrops atrox vary between specimens and different habitats in the Western Amazon, Brazil

description: These are data analyzed in the research on Head and venom gland morphology of the common lancehead Bothrops atrox vary between specimens and different habitats in the Western Amazon, Brazil.