cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/m4s2jn3csb.1
title: Chest X-Ray Image

description: Chest X-ray images are a critical diagnostic tool in the field of medicine, primarily used for the detection and monitoring of various lung diseases, including COVID-19 and pneumonia. These images offer a non-invasive way to visualize the internal structures of the chest, allowing medical professionals to identify abnormalities, lesions, or infections in the lungs. Lung diseases, such as pneumonia and COVID-19, are a significant global health concern. Understanding their prevalence and early detection are crucial in reducing morbidity and mortality associated with these conditions. Mortality statistics worldwide underscore the importance of effective lung disease and COVID-19 detection. According to the World Health Organization (WHO), lung diseases are a leading cause of death, accounting for approximately 4 million fatalities annually. In the case of the COVID-19 pandemic, the timely detection and management of infected individuals can significantly impact the course of the disease and reduce its spread. The "Chest X-Ray Image Dataset" is a valuable resource that aids in the diagnosis and research of lung diseases, including COVID-19. This dataset contains images collected from various hospitals in Bangladesh, where medical professionals have diligently monitored and gathered X-ray images for research and diagnostic purposes. It offers a total of 4,350 high-quality images, categorized into four distinct classes: Normal (Class Distribution: 1200 Images): This category includes X-ray images of healthy lungs, serving as a reference for comparison with diseased or infected lungs. Lung Opacity (Class Distribution: 1100 Images): These images represent cases with lung opacities or abnormalities that require further examination and diagnosis. COVID (Class Distribution: 1050 Images): This class contains X-ray images of patients with confirmed or suspected cases of COVID-19, aiding in the early detection and monitoring of the disease. Viral Pneumonia (Class Distribution: 1000 Images): X-ray images in this category are associated with viral pneumonia cases, assisting in the identification and understanding of this specific type of lung infection. This dataset plays a vital role in the healthcare sector. It empowers medical professionals and researchers by providing a comprehensive collection of chest X-ray images to facilitate lung disease and COVID-19 detection. By using machine learning and deep learning techniques, this dataset can contribute to the development of automated diagnostic tools, aiding in faster and more accurate disease identification. The insights gained from this dataset can enhance patient care, reduce mortality rates, and play a pivotal role in the ongoing battle against lung diseases and COVID-19.
DOI: 10.17632/pc79byc827.1
title: Supplemental data

description: Supplemental Tables and figures of publihed manuscript
DOI: 10.17632/hkjbp67rsc.1
title: SDN-DDOS (ICMP,TCP,UDP)

description: Data consist of DDoS attacks in SDN which include the ICMP, TCP, and UDP flood. The attack was generated in Mininet Emulator using the Scapy and TCPReplay. The topology used was : sudo mn --topo tree,depth=3,fanout=2 --mac --controller remote,ip=0.0.0.0:6633 performed by H1 to H4
DOI: 10.17632/4tznkn45mx.1
title: ArTS: Arabic Traffic Sign Dataset

description: A new dataset for Arabic Traffic Signs is developed for the selected most common 24 Arabic traffic signs. The dataset consists of 2,718 real captured images and 57,078 augmented images for 24 Arabic traffic signs. The images are captured from three connected cities (Khobar, Dammam and Dhahran) in the Eastern Province of Saudi Arabia. The newly developed dataset consisting of 2,718 real images is randomly partitioned into 80% percent training set (2,200 images) and 20% percent testing set (518) images. Augmented dataset of 57,078 images with 10,878 images for testing and 46,200 images for testing. Due to large file size, the Augmented training dataset is uploaded as two compressed files.
DOI: 10.17632/5xth87zwb5.3
title: Sanadset 368K: Data on Hadith Narrators

description: Sanadset is a full hadith dataset that contains over 368,683 records collected from 926 historical Arabic books of hadith. This dataset can be used for further investigation and classification of hadiths (Strong/Weak), and narrators (trustworthy/not) using AI techniques, and also it can be used as a linguistic resource tool for Arabic Natural Language Processing.
DOI: 10.17632/66w4y6sb6d.1
title: Data and Code for "Financial Returns to Household Inventory Management"

description: Data and Code for "Financial Returns to Household Inventory Management"
DOI: 10.17632/dgc4gn6vfc.1
title: Database for PESPs Global Review of Contributions Towards Sustainability

description: This database is intended to support our article titled “Paying for Ecosystem Service Programs: A Global Assessment of Contribution to Sustainability”.
DOI: 10.17632/gmyt9wrgst.1
title: Topological data analysis and Network analysis approach for sustainable mobility in cities

description: Data Description
This dataset contains detailed information on urban network structures and socio-demographic variables for 65 cities across various continents for the year 2023. The data were collected and processed to explore the relationship between network topology and urban mobility readiness (UMRi). The dataset includes key metrics such as graph entropy, node degree, clustering coefficient, graph diameter, GDP per capita, population density, and more.

The dataset is organized into multiple columns representing both network-derived variables and socio-economic indicators. The primary objective of this dataset is to provide a comprehensive basis for analyzing how urban network structures influence mobility efficiency and sustainability in cities worldwide.

Researchers and urban planners can use this dataset to further explore the complex dynamics of urban mobility and develop strategies for improving transportation systems in growing urban areas. The data are provided in a structured format, suitable for use in statistical software and network analysis tools.

Main Source primary data: https://www.oliverwymanforum.com/mobility/urban-mobility-readiness-index.html

A paper (in revision stage!) is included in this dataset for a general introduction, aims and scope.
DOI: 10.17632/vzkzz4tgs2.1
title: Data for: Impact of Formal Climate Risk Transfer Mechanisms on Risk-Aversion: Empirical Evidence from Rural Ethiopia

description: The data were collected from farmers that reside in tabias (kebeles) with access to weather index-based crop insurance in Tigray regional state of Ethiopia.
DOI: 10.17632/ypw3sp95md
title: Data sharing_GCA

description: Tables of all data appearing in all figures in both the main paper and supplements.
DOI: 10.17632/y7p73zxkkf.1
title: Co-Designing to Separate Art from Content with input from Art Experts

description: The purpose of this repository is to contain all of the work done on a series of Co-Design workshops between researchers from the University of Oxford’s Department of Computer Science and Art Experts from various art world institutions. The workshops explored what differentiates ‘art’ from ‘content’ online. The research questions were motivated by a set of design values established during a pre-study series of interviews.
The Study Materials Folder contain the scripts used by the researchers and blank sets of the activities that comprised the Co-Design Workshops. All of the work was conducted through an online whiteboard tool.
The Workshop Outputs Folder contains all of the marked activities for each of the three co-design workshops and the ultimate set of screen designs made by the participants from each workshop.
The Final Screens Folder contains a PDF showing medium-fidelity prototypes that were developed after the contributors cross-examined each others’ workshop outputs. These designs were taken further for a Stakeholder Review for another study.
If there are any questions, please feel free to contact the first author (thomas.von.davier@cs.ox.ac.uk) for any questions regarding the study design and how it can be applied to other situations.
DOI: 10.17632/72gkngc3by.1
title: Indonesian Journal of Educational Development (IJED)

description: Indonesian Journal of Educational Development (IJED) is a journal managed by the Academic Development Institute (LPA) IKIP PGRI Bali. This journal is published four times a year, namely February, May, August and November. Contains Indonesian and English writing originating from research results on the development of learning, measurement and evaluation of education, and education management.
DOI: 10.17632/wsmcc2y6n2.1
title: AISmoor

description: Mooring and manoeuvres detection of vessels inside port from AIS, data and python scripts
DOI: 10.15468/dl.2d4pt3
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prosopis pallida (Humb. & Bonpl. ex Willd.) Kunth",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 305 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009301-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jjb3s85dss.1
title: Student Debt and Default: The Role of For-profit Colleges

description: The files include data that will replicate the tables and figures of the paper "Student Debt and Default: The Role of For-profit Colleges". The data we use in this analysis come from five sources: Quarterly Census of Employment and Wages (QCEW), Integrated Postsecondary Education Data System (IPEDS), National Student Loan Data System (NSLDS), College Scorecard data (CSD), and the US Census. The data are described in detail in the paper. We isolate the causal effect of for-profit enrollment on student debt and repayment outcomes as well as the educational and labor market mechanisms that drive any such effects. We approach this problem using a novel instrument combined with comprehensive institution-level data on student debt, default, educational attainment, and labor market outcomes. Our instrument leverages the interaction between changes in the demand for college due to labor demand shocks and the baseline supply of for-profit schools. We compare how enrollment and subsequent outcomes change across areas that experience similar labor demand shocks but that have different latent supply of for-profit institutions. The first-stage estimates show that students are much more likely to enroll in a for-profit institution for a given labor demand change when there is a higher supply of such schools in the base period. Among four-year students, for-profit enrollment leads to more loans, higher loan amounts, an increased likelihood of borrowing, and an increased risk of default. Two-year for-profit students also take out more loans, originate more student debt, and have higher default rates. We present evidence that these debt and default outcomes are driven by higher for-profit tuition and a negative effect of for-profit enrollment on labor market outcomes. Our results point to high costs and low returns to for-profit enrollment that generate worse student debt and repayment outcomes.
DOI: 10.17632/yp4d95pk7n.1
title: Code for time-series forecasting by using a recurrent neural network model

description: General description: - This dataset includes a Python code for sequence-to-sequence time-series forecasting by training and evaluating recurrent neural network models. - The code was developed to enable rapid and wide-scale development, production and evaluation of time-series models and predictions. - The RNN's architecture has a convolutional layer for handling inputs, within a composite autoencoder’s neural network. Instructions for usage: - The Python code is located in a Jupyter notebook that can be opened online or locally, by using a Jupyter Notebook compatible platform as: https://jupyter.org (accessed 11 July 2020). https://colab.research.google.com (accessed 11 July 2020). - In order to use the code, a data source should exist in a "csv" file extension and it should be named as 'data_input.csv' or alternatively, an online link to the data source could be entered when executing the code. The data source should have first 4 columns for metadata. The unique name or identifier for each row will be located in the 2nd column, otherwise, a change has to be made in the code in the gen_data function (line 282) and line 286 in case of the need to change metadata columns size, into less or more. The rest of the columns indicate the accumulated number or value in each column. Important parameters: - target_pred: specifies which row in the data to predict. - crop_point: specifies which data point to crop the time-series data at, ex. training data = before crop_point, evaluation data = after crop_point. - time_steps: specifies which time-steps to use, ex. 15 or 20, meaning: 15 for X and 15 for Y in the sequence-to-sequence model. - RNN parameters: ex. batch size, epochs, layer sizes, RNN architecture (GRU or LSTM). - ext: specifies the end date of predictions. License: This code is licensed under MIT license.
DOI: 10.17632/7g7zpy9vcb.1
title: Rock Image Datasets

description: This dataset has been used is Lei Shu's PhD dissertation (https://ir.lib.uwo.ca/etd/5705/) and Alexis Pascual's paper (in review)
DOI: 10.17632/2gczbkvfhg.1
title: Data for: Stand characteristics and dead wood in urban forests: potential biodiversity hotspots in managed boreal landscapes

description: This data contains site specific information about the forest stands which were studied in the associated article titled "Stand characteristics and dead wood in urban forests: potential biodiversity hotspots in managed boreal landscapes". The enclosed information includes coordinates to site locations, site characteristics and site specific values for stand structural variables. Please, see the Materials and Methods of the associated article for further information about how the variables were calculated.
DOI: 10.17632/xbrc8gvby9.1
title: Supplementary Tables_Fatal Landslides in Colombia_García-Delgado et al.

description: Here is the supplementary material (Tables A1 and A2). Table A1 corresponds to a simplified version of the catalogue of fatal landslides. Table A2 presents the socio-economic indices used for the statistical analysis.
DOI: 10.17632/yrfkgrwtg5.1
title: EEG data repository

description: Rhythmic Auditory Stimulation(RAS) has been shown to be of help in an effective gait training of people with idiopathic Parkinson’s disease(PD).The cerebellum may play an important role in RAS aftereffects by compensating the detrimental internal clock for automatic and rhythmic motricity. However, the neurophysiological mechanisms underlying RAS aftereffects are still poorly understood. In the present study, we tested the contribution of the cerebellum to RAS-based gait training aftereffects in people with PD by examining cerebellum-cerebral connectivity indices using standard EEG recording. We enrolled 50 patients with PD who were randomly assigned to two different modalities of treadmill gait training using GaitTrainer3 with and without RAS (non_RAS) during an 8-week training program. We measured clinical and kinematic gait indices and electrophysiological data(standard EEG recording during walking on GaitTrainer3) of both the gait trainings. We found that the greater improvement in gait performance following RAS than non_RAS training, as per clinical and kinematic assessment, was paralleled by a more evident reshape of cerebellum-brain functional connectivity with regard to specific brain areas(pre-motor, sensorimotor and temporal cortices) and gait-cycle phases(mainly 25-75% of the gait cycle duration).These findings suggest that the cerebellum mediates the reshape of sensorimotor rhythms and fronto-centroparietal connectivity in relation to specific gait-cycle phases. This may be consistent with a recovery of the internal timing mechanisms generating and controlling motor rhythmicity, eventually improving gait performance. The precise definition of the cerebellar role to gait functional recovery in people with PD may be crucial to create patient-tailored rehabilitative approaches.

The data deposited are related to the time course of the local maxima of the regions of interest (ROIs) showing functional activation at each of the gait cycle phases (0-25, 25-50, 50-75, and 75-100%), group (NMT and non-NMT), and time of assessment (TPRE and TPOST). Activity is shown for the maximum amplitude vertex within each ROI during the gait epoch.
DOI: 10.17632/bwbmrxtjpv.1
title: Evaluating sensor and robotic technologies in the Chinese greenhouse sector using the Bayesian best-worst method: a multi-stakeholder perspective

description: Stakeholder and expert survey data used for research Evaluating sensor and robotic technologies in the Chinese greenhouse sector using the Bayesian best-worst method: a multi-stakeholder perspective
DOI: 10.17632/k4kkphgt66.3
title: Atomic Mass Energy and Constant

description: In childhood, during study different types of stupid question come in mind like if the unit of the respected scientists ‘Einstein’ equation, e=〖mc〗^2, the unit of ‘e’ is changed then, ‘m’ also will be changed . Now if c^2 unit is changed then, why the mass, energy will not be changed? Who is the exponent of element? Why iron should not be changed into copper? Why nature is the exponent of all those powers. To get answer the search is complete, when it is seem 0.413324 digits, on its base all those essays are written In the present essay, the given information, in that, all those used units like – joule, calorie, eV, different energy’s unit which is recognized by renowned scientists, those units are energy within that matter ( surely, mass of that object) by comparing it is deduced . Example –1 Kg sugar,= 3870,calorie energy, or 1 litter petrol = 60 km travel range in a 100 c.c engine, or a xx Hp, Generator 2 hours...; Now if we take c.c , hour, Hp , calorie; Kg ,obviously is associated with any relation . But if we calculate this energy in different unit then, it will take difficult and large shape. Now , the main aim is to solve energy with different energy or , the relation of matter with different energy the relationship is very secondary but to solve the problem Is the primary motive but we know those unit is practically set up by calculating math’s problem , those digits will be unchanged , like – 3 Apples = 5 mangoes. Now, if it is the relation b/w apples and mangoes size, content, weight, mass etc. will be unchanged then, we will take it as the yardstick for units in , reality 3 mangoes = 0.01 quintal etc. are expressed in units . but the number of mangoes or apples , are unchanged. On the basis of that theory, here, it is proved practical measure by calculating practical digits to prove different angles related with the problem.
DOI: 10.17632/w7yh4yjvbw.2
title: Single Nucleus RNA Sequencing of Pre-Malignant Liver Reveals Disease-Associated Hepatocyte State with HCC Prognostic Potential

description: Current approaches to stage chronic liver diseases have limited utility to directly predict liver cancer risk. Here, we employed single nucleus RNA sequencing (snRNA-seq) to characterize the cellular microenvironment of healthy and chronically injured pre-malignant livers using two distinct mouse models. Analysis of 40,748 hepatic nuclei unraveled a previously uncharacterized disease-associated hepatocyte transcriptional state (daHep). These cells were absent in healthy livers, but were increasingly prevalent as chronic liver disease progressed towards hepatocarcinogenesis. Ultra-low-pass whole genome sequencing (LP-WGS) followed by copy number variation (CNV) analysis of microdissected mouse tissue demonstrated that daHep enriched regions are riddled with structural variants, suggesting these cells represent a pre-malignant intermediary. Integrated analysis of three recent human snRNA-seq datasets confirmed the presence of a similar phenotype in human chronic liver disease and further supported its enhanced mutational burden compared to normal hepatocytes. Gene expression deconvolution of 1,439 human liver transcriptomes from publicly available datasets revealed that daHep frequencies highly correlate with current histopathological liver disease staging systems. Importantly, we show that high daHep levels precede carcinogenesis in mice and humans and predict a higher risk of hepatocellular carcinoma (HCC) development. This novel transcriptional signature with diagnostic and, more importantly, prognostic significance has the potential to change the way chronic liver disease patients are staged, surveilled and risk-stratified.
DOI: 10.17632/386t4xvpct.1
title: Aam Tidal Channel, Songdo, South Korea, 2023 Floc Data

description: Floc data were acquired from Aam Tidal Channel located in Songdo, South Korea, between May and June 2023. Seabird 19 CTD, LISST-200X, particle imaging camera system (PICS), and water sample data were obtained. To facilitate the experiments in the tidal channel, a survey platform approximately 4 meters above the bed was constructed, from which casting operations were conducted. All instruments were mounted within a 70 cm distance on a profiling frame, enabling simultaneous measurements of a statistically similar floc population at various depths (surface, middle, and bottom layers) in the water column. Casting operations were conducted at 30-minute intervals during each tidal cycle, capturing rapid images of settling flocs with PICS, and volume concentration with LISST-200X. Salinity, temperature, and turbidity were acquired using a Seabird CTD with an attached optical backscatter sensor (OBS). Each floc camera data comprise a 30-second video of settling flocs. To measure total suspended solids and the relative fraction of organic matter content, duplicate 1-liter water samples were obtained and filtered through prepared glass microfiber filters. TSS values were determined through oven drying and subsequent weighing, while the organic matter content was assessed through loss on ignition analysis after heating the filters.
DOI: 10.17632/k7pwbpttds.3
title: Supplementary Material - Nail Fold Capillaroscopy for Diagnosis of Onychodystrophies: A Prospective Cross-Sectional Study

description: Supplementary files for the Journal of the American Academy of Dermatology (JAAD) submission - Nail Fold Capillaroscopy for Diagnosis of Onychodystrophies: A Prospective Cross-Sectional Study
DOI: 10.17632/y84khfx263.1
title: Original Western Blot Data

description: Original Western Blot data for manuscript entitle p53 engages the cGAS/STING cytosolic DNA sensing pathway for tumor suppression
DOI: 10.17632/svw96g68dv.5
title: Spatially resolved clonal copy number alterations in benign and malignant tissueJus

description: Additional data supplementary to the publication:

Erickson, A., He, M., Berglund, E. et al. Spatially resolved clonal copy number alterations in benign and malignant tissue. Nature 608, 360–367 (2022). https://doi.org/10.1038/s41586-022-05023-2

Includes count matrices and high-resolution histological images as well as additional figures and related materials that did not fit in the publication.

10x Space Ranger tissue_highres_images are included. If lowres images are desired, scale down the largest dimension of the highres image to 600 pixels from 2,000. For additional information see: https://support.10xgenomics.com/spatial-gene-expression/software/pipelines/latest/output/spatial
DOI: 10.17632/v8vn35zj3g.1
title: Data for: Establishment of Wolbachia strain wAlbB in Malaysian populations of Aedes aegypti for dengue control

description: Figure 2, Figure 3, Figure S2 and Figure S3 are based on the data "Release Numbers - Frequency of Wolbachia - Ovitrap Index.xls" Figure 4, Figure 6 and Figure S7 are based on the data "Dengue Incidence.xls"