cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/c4hhrkxytw.4
title: Dental OPG XRAY Dataset

description: This dataset includes dental OPG X-rays collected from three different dental clinics. This dataset can be used for tasks like object detection, image analysis, disease classification, and segmentation. It has two folders: the object detection dataset folder and the classification dataset folder. The object detection folder contains 232 original and 604 augmented images and labels. The classification folder contains six distinct files for each class. The images are in JPG format, and the labels are in JSON format. The augmented data is split into training, validation, and testing sets in an 80:10:10 ratio.

Dataset collection:
• Source: Prescription Point Ltd, Lab Aid Specialized Hospital, Ibn Sina Diagnostic and Imaging Center.
• Capture Method: Using android phone camera.
• Anonymization: All data were rigorously anonymized to maintain confidentiality and privacy. 
• Informed Consent: All patients provided their consent in accordance with the dental ethical principles. 

Dataset composition: 
• Total Participants: 232 Male and female patients aged 10 years or older.

 
Variables: 
• Healthy Teeth: 223
• Caries: 119
• Impacted Teeth: 87
• Broken Down Crown/ Root: 52
• Infection: 23
• Fractured Teeth: 13
DOI: 10.17632/n8crkjjy99.2
title: Capital Flows and Income Inequality: Replication Files

description: Replication files for the results reported in the paper "Capital Flows and Income Inequality" by Zheng Liu, Mark M. Spiegel, and Jingyi Zhang [Journal of International Economics 144 (2023) 103776] and the Corrigendum.
DOI: 10.17632/x5nydf9vr6.1
title: Data for: A systematic survey of bar-built estuaries along the California coast

description: Table of key data variables used for condition assessment Hydrographs of 11 BBEs documenting marsh plain inundation frequency
DOI: 10.17632/y4hc8v34b5.2
title: Herder Conflict Survey Results (Afrobarometer)

description: This data set displays an escalation in community-level violence associated with herder conflict in Nigeria. Advancing our understanding of the nature of the conflict and drawing on Afrobarometer’s surveys, an increase in ‘multiple-instance’ violence (more than one physical attack per year) is identified, from 2014 onwards. It indicates a shift to an escalated conflict paradigm for herders and farmers in Nigeria. Although migration, population growth and environmental change provide a backdrop to the herder conflict, gaps indicate more research is needed to be able to quantitatively relate these dynamics with discrete forcing variables of the observable shift to this escalated insecurity.
DOI: 10.17632/b3nnvfk595.1
title: Factores de la consolidación empresarial

description: El presente estudio propone un enfoque para determinar la consolidación empresarial desde la integración de factores asociados al emprendedor, la empresa y el entorno, mediante la reducción de factores, el modelo estructural y la bondad de ajuste, a través de los cuales se pudo corroborar tres hipótesis de relación y tres hipótesis de correlación entre factores. El estudio empírico se realizó sobre una muestra de 212 empresarios de diversos países latinoamericanos. Los resultados indican que la consolidación empresarial está determinada desde el emprendedor por la perseverancia, el liderazgo, la identidad y las decisiones; desde la empresa por la estrategia, la innovación, el personal, el mercado y la rentabilidad; y desde el entorno por la financiación, la competencia, las redes, el crecimiento y los contactos.
DOI: 10.17632/m5z5b5zdcw.1
title: Techno-economic analysis of indirect carbonation CO2 capture and utilization in a cement industry: Aspen Plus simulations results and System Dynamics model results

description: The excel book presents the results regarding the technical and economic evaluation of the indirect carbonation CO2 capture technology. The spreadsheets named "Aspen Results" contains the results of the CO2 carbonation simulation for the different hydroxides studied. Also, the spreadsheets named "SD" contains the results of the system dynamics model simulation for the different scenarios analyzed.
DOI: 10.17632/vr5z6hps7n.1
title: Acceleration sensor data

description: In the shaking table test, the data of the acceleration sensor and the data of the table acceleration sensor are used
DOI: 10.17632/rmttpxkmd6.1
title: Supplementary Material - Treatment of moderate-to-severe alopecia areata in adolescents with baricitinib

description: Supplementary Materials - Treatment of moderate-to-severe alopecia areata in adolescents with baricitinib: A retrospective review of 29 patients
DOI: 10.17632/hkkdv8wms2.1
title: R-MHD: an adaptive-grid radiation-magnetohydrodynamics computer code

description: Abstract A one-dimensional adaptive-grid finite-differencing computer code is presented for radiation-magnetohydrodynamics (R-MHD) simulations of fusion plasmas. The governing equations consist of the continuity, momentum, and energy equations of a non-relativistic, radiative and magnetized fluid plus field-intensity equations of radiation and magnetic fields. The equations are solved on an adaptive grid that dynamically moves the points at every timestep to follow steep gradients in physical quantiti... Title of program: R-MHD Catalogue Id: ACGN_v1_0 Nature of problem Radiation processes and radiation transport play an important role in inertial confinement fusion (ICF) plasmas. The dynamics of target implosion, and of the plasma channels can be strongly affected by radiative transfer. The coupling between the plasma, radiation and magnetic fields in light ion beam transport channels must be accurately determined to predict and interpret the outcome of ICF experiments. Versions of this program held in the CPC repository in Mendeley Data ACGN_v1_0; R-MHD; 10.1016/0010-4655(92)90182-X This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/x2998wdc95.3
title: Dataset for the article “Data for a simulation of metal cutting with cutting fluid using the Finite-Pointset-Method”

description: The dataset provides measured and simulated data of dry and wet orthogonal turning processes. In addition, the complete simulation model is published.
DOI: 10.17632/gg58kc7zy7.1
title: Data for: Extractive Summarization of Clinical Trial Descriptions

description: This archive contains the summarization corpus generated as a result of the filtering stages (trials-final.csv), the rouge scores for the generated summaries (rouge-results-parsed.csv), the data and results of the human evaluation (evaluation/ subfolder), the code used to generate the corpus (extract.r, filter.r, and determine_similarity_threshold.r). The summaries were generated using the summarize_all.py script.
DOI: 10.17632/t75wjsw6bw.2
title: Conjunctival melanoma detection using deep learning in smartphone images

description: The approach of our study is anterior segment examination using a smartphone image with deep learning system, which is similar to previous dermatology literature of skin cancer detection. This study was based on publicly accessible ocular images on the web. We collected anterior segment images from the Google image search engine. The strategy of image search was based on the following keywords: “conjunctiva”, “pterygium”, “conjunctival nevus”, “conjunctival melanoma”, and “conjunctival malignant melanoma”. The most recent image from the search was performed on Autumn 31, 2020. Images were manually classified by two board-certified ophthalmologists, and the ambiguous images were excluded to clarify the image domains.
DOI: 10.17632/56hkkb5kdg.1
title: Source datasets for Lipidome Atlas of the Developing Heart Uncovers Dynamic Membrane Lipid Attributes Underlying Cardiac Structural and Metabolic Maturation

description: Excel contains source datasets corresponding to individual figures in the manuscript "Lipidome Atlas of the Developing Heart Uncovers Dynamic Membrane Lipid Attributes
Underlying Cardiac Structural and Metabolic Maturation" in journal Research https://doi.org/10.34133/research.0006
DOI: 10.17632/bpx6jt92rm.5
title: Data for "Limited influence of hydrogen on the sound velocity of Martian core: Constraints from first-principles molecular dynamics simulations of Fe-S-H liquids"

description: Equation of state for Fe-S-H melts under high temperature and pressure
DOI: 10.17632/p2yt92jnnr.1
title: Conley and Kelly Persistence Replication JIE

description: This file contains all data and code used in Conley and Kelly "The Standard Errors of Persistence"
DOI: 10.17632/w36hpf86j2.1
title: Lumpy Skin Images Dataset

description: Content:
  - It is an images directory structure branched into 2 subfolders (LUMPY SKIN & NORMAL SKIN).
TOTAL LUMPY SKIN IMAGES: 324
TOTAL NORMAL SKIN IMAGES: 700

Context
 - This is a preprocessed dataset.
 - Images are resized to 256x256 in PNG format.

Inspiration: 
 - Help the researchers to detect and classify lumpy skin and normal skin using machine learning/ deep learning.
 - To develop an optimized classification model.
DOI: 10.17632/zpv48v859w.1
title: Herramienta para evaluación de la audición con audiometría tonal

description: Herramienta para la interpretación de una audiometría tonal en formato xlsx (excel). Está formada por dos páginas, en la primera se introducen los datos del sujeto y audiométricos (frecuencia/intensidad). En la página resultados encontramos la interpretación audiométrica y el grado de pérdida, así como una previsión del grado de discapacidad que corresponde (España).
DOI: 10.17632/v9v6dcgjkw.1
title: Data for: DNA-based diet analysis of mesopelagic fish from the southern Kerguelen Axis

description: OTU tables (18S rDNA and mitochondrial COI), mapping file with sample info (species, standard length, etc.), and file with dates and lat/longs for the trawls. The OTU numbers are not continuous as some OTUs were assigned to parasites, fish, or contaminants rather than diet items. The sample numbers are not continuous as samples with low sequencing depth (&lt;1000 reads for 18S, 0 reads for COI) were excluded. OTUs were assigned to order level for 18S and species for COI where possible.
DOI: 10.17632/j39gjcjz5p.1
title: Data for: "Is the abstract a mere teaser? Evaluating generosity of article abstracts in the environmental sciences"

description: This dataset has been used for experiments presented in the following paper Ermakova L, Bordignon F, Turenne N, Noel M (to be published in 2018) "Is the abstract a mere teaser? Evaluating generosity of article abstracts in environmental sciences" Frontiers in Research Metrics and Analytics. Those data result from the GEM score calculation for 36,237 abstract/article pairs retrieved from the ISTEX database. They have been enriched with values coming from Scopus (citations), JournalMetrics (subject areas) and oaDOI (Open access status). GEM Score = Generosity Measure
DOI: 10.17632/8mg8mkc7k5.2
title: Thermal images dataset, Transformer, 1 phase dry type

description: --Contact email: m.najafi@nit.ac.ir --Babol Noshirvani University of Technology --Applying this dataset is allowed just by considering the creator's citation for any academic or other purposes. This is thermal images (IRT) dataset in the context of condition monitoring of electrical equipment--Transformer. All artificially generated defects are internal faults and depend on neither external pieces nor failure in initial setup components. Regarding the transformer, 8 different cases of short circuit failures in common core winding were considered. The thermal image acquisition is done at the workbench by a Dali-tech T4/T8 infrared thermal image camera at an Electrical Machines Laboratory at the environment temperature of 23°. The number of images is 255 in 9 conditions. You can find the other specification in the PDF file attached to this dataset.
DOI: 10.17632/gjhf5y4xjp.1
title: AI & Big Data Global Surveillance Index

description: This index compiles empirical data on AI and big data surveillance use for 179 countries around the world between 2012 and 2020— although the bulk of the sources stem from between 2017 and 2020. 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 April 2020. 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/h8tcn6ykky.2
title: A Litopenaeus vannamei shrimp dataset with images and corresponding weight-size measurements for the development of artificial intelligence-based biomass estimation and organism detection algorithms

description: This dataset was compiled with the ultimate goal of developing non-invasive computer vision algorithms for assessing shrimp biometrics and biomass estimation. The main folder, labeled "DATASET," contains five sub-folders—DB1, DB2, DB3, DB4, and DB5—each filled with images of shrimps. Additionally, each sub-folder is accompanied by an Excel file that includes manually measured data for the shrimps pictured. The files are named respectively: DB1_INDUSTRIAL_FARM_1, DB2_INDUSTRIAL_FARM_2_C1, DB3_INDUSTRIAL_FARM_2_C2, DB4_ACADEMIC_POND_S1, and DB5_ACADEMIC_POND_S2.

Here’s a detailed description of the contents of each sub-folder and its corresponding Excel file:

1) DB1 includes 490 PNG images of 22 shrimps taken from one pond at an industrial farm. The associated Excel file, DB1_INDUSTRIAL_FARM_1, contains columns for:
SAMPLE: Reflecting the number of individual shrimps (22 entries or rows).
LENGTH (cm): Measuring from the rostrum (near the eyes) to the start of the tail.
WEIGHT (g): Recorded using a scale.
COMPLETE SHRIMP IMAGES: Indicates if at least one full-body image is available (1) or not (0).

2) DB2 consists of 2002 PNG images of 58 shrimps. The Excel file, DB2_INDUSTRIAL_FARM_2_C1, includes:
SAMPLE: Number of shrimps (58 entries or rows).
CEPHALOTHORAX (cm): Total length of the cephalothorax.
LENGTH (cm) and WEIGHT (g): Similar measurements as DB1.
COMPLETE SHRIMP IMAGES: Presence (1) or absence (0) of full-body images.

3) DB3 contains 1719 PNG images of 50 shrimps, with its Excel file, DB3_INDUSTRIAL_FARM_2_C2, documenting:
SAMPLE: Number of shrimps (50 entries or rows).
Measurements and categories identical to DB2.

4) DB4 encompasses 635 PNG images of 20 shrimps, detailed in the Excel file DB4_ACADEMIC_POND_S1. This includes:
SAMPLE: Number of shrimps (20 entries or rows).
CEPHALOTHORAX (cm), LENGTH (cm), WEIGHT (g), and COMPLETE SHRIMP IMAGES: Documented as in other datasets.

5) DB5 includes 661 PNG images of 20 shrimps, with DB5_ACADEMIC_POND_S2 as the corresponding Excel file. The file mirrors the structure and measurements of DB4.

The images for each foler are named "sm_n", where m is the number of shrimp sample and n is the number of picture of that shrimp.
This carefully structured dataset provides comprehensive biometric data on shrimps, facilitating the development of algorithms aimed at non-invasive measurement techniques. This will likely be pivotal in enhancing the precision of biomass estimation in aquaculture farming, utilizing advanced statistical morphology analysis and machine learning techniques.

CHANGES FROM VERSION 1:

The cephalothorax metric is the length rather than the width. That was an error in the first version. The name in the columns also had a typo, which has been corrected (from CEPHALOTORAX to CEPHALOTHORAX).
DOI: 10.17632/ffbjy78ndb.1
title: Nigeria COVID-19 dataset

description: The data are recorded daily from the situation reports by NCDC on COVID-19 new cases in Nigeria from June 1, 2020, to August 31, 2020. The COVID-19 dataset used for this research was automatically mined every 24 hours from the official NCDC websites http://covid19.ncdc.gov.ng/. The data covers a period of ninety-two (92) days. The dataset contains 92 time-series data points. Regularly updated case numbers are available https://ourworldindata.org/coronavirus-testing-source-data?
DOI: 10.17632/f9dbktdr3f.2
title: ICT AND SOCIAL MEDIA USAGE AMONG MOROCCAN NURSING STUDENTS

description: This dataset contains responses received from 702 Moroccan nursing students. The survey was carried out to examine their willingness to use and accept ICT and social media platforms for learning especially during COVID -19 period and beyond. The dataset includes the questionnaire used (in English and French), the responses obtained in spreadsheet format, the charts generated from the responses received, the SPSS file and the statistical analysis file.
DOI: 10.17632/2d3ff88t5g.1
title: JDS 22 Bougouin

description: Supplementary material with information on origin of data, descriptive and other statistics
DOI: 10.17632/pbkn43bgjc.1
title: D2TSAero Dataset for digital twin application in Aeronautics

description: The focus of this project is to develop a Digital Thread Twin architecture for Smart maintenance of Aeronautic systems. For the development of a reliable model that can ensure a reliable representation of the real system an Offline environment that mimics real system behavior was developed. 

The simulation is based on the proposed model of an a Aircraft distribution System described in “Safety + ai: A novel approach to update safety models using artificial intelligence". 

The proposed data set for the use case includes four Runs and five scenarios for each run. Five operating points for each run were simulated in order to represents healthy and Faulty conditions of the system. Faulty conditions are generated using MATLAB by injecting several faults categories at each epoch. 

The proposed data concerns four components of the system mainly hydraulic pump,the three tanks, Engines, rear and front pumps. Dataset for 11 healthy and faulty scenarios was produced with several failure types for each of these components. Failures includes Noise NOI, Minor in Service Problem SER, Abnormal Instrument Reading AIR , External Leakage ELU and Parameter Deviation PDE. Noise on sensor was also considered to stimulate security threats. 
Fault Type 1 : Noise on Instruments 
Fault Type 2: Abnormal Instrument Reading
Fault Type 3: Minor in Service Problem 
Fault Type 4: External Leakage
Fault Type 5: Parameter Deviation
Fault Type 6: Structural Deficiency
Fault Type 7: Breakdown

Features for Pumps : Pump flow for the five pumps 
Features for Pump Hydraulic: Pump motor speed 
Features for Driver: Driver Power 
Features for Tank : Volume and temperature for the three tanks 

The produced data set can be used to compare performance of different asset health estimation models and for the development of new predictive maintenance strategies. 

This data empowers researchers to create new models for aeronautics systems maintenance management by leveraging digital twin technology. By using digital twins with muliagent systems and AI, scientists can predict and emulate the behavior of aircraft complex logic from these larger datasets.
DOI: 10.17632/h99rgc5nk7.2
title: MangoFruit-Detection

description: The dataset directory holds a total of 1030 images of mango fruit. Each image has dimensions of 1200 by 1600 pixels. The dataset's folder occupies 829 MB of space and is available for easy downloading.
DOI: 10.17632/h5x4yztx4v.2
title: Single-cell landscape of peripheral immune responses to fatal SFTS

description: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with high fatality. Poor prognosis of SFTS has been associated with dysregulated host immunity, however, the immune patterns associated with pathophysiology involving in SFTS exacerbation remains unclear. Here we show the single-cell landscape of peripheral immune responses is reprogrammed in SFTS and characterized by monocyte shift to intermediate type along with complement activation, perturbation of plasmablasts composition, and highly exhausted T cells, all are correlated with lethal consequences. We identify the overexpression of interferon-stimulated genes across most immune cell types post SFTSV infection, which are simultaneously related to older age, high viremia and hyper-inflammation response. A retrospectively clinical study revealed no efficiency of IFN-α in treating SFTS. These data collectively support the intermediate monocytes and IFN-I-inducible plasmablasts to be major targets for SFTSV infection, and propose the pivotal role of IFN-I response in exacerbating hyper-inflammation and lethal SFTS.
DOI: 10.17632/k34dvg2gm2.1
title: Data for: Geology, structure and lithostratigraphic framework of the Rakhine Coastal Ranges in western Myanmar: implications for the collision of the India Plate and West Myanmar Block

description: This study provides the syn and post deformation of Neogene siliciclastic sequences of Arakan Costal Ranges in Western Myanmar that allows structural and kinematic interpre-tation of oblique subduction and collision history. The growth of these folds and faults and associated uplifting which were resulted by tectonic evolution between Burma Plate was wedged in the subduction zone and dragged mechanically toward the north with the Indian Plate between internal N-S trending right-lateral shearing and external E-W shortening.
DOI: 10.17632/kg5x95gwgj.1
title: Jx: An open-source software for calculating magnetic interactions based on magnetic force theory

description: We describe our newly-developed open-source software, named by J_x, to perform magnetic force linear response calculations. J_x is a user-friendly and efficient tool to calculate magnetic interaction in solids and molecules. Without supercell calculation, it computes both short- and long-range interactions. It is also possible to calculate an orbital-resolved matrix form of magnetic couplings. Functionality and formalism are presented with examples. The program architecture and parallel algorithm are also described.
DOI: 10.17632/xkp3vd9gh4.1
title: Data for: Trade Policy Uncertainty and its Impact on the Stock Market - evidence from China-US trade conflict

description: TPU and stock RV