cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1618810.v1
title: Supplemental files for NSPN manuscript "Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome".

description: All supplemental files submitted in support of NSPN manuscript "Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome".<br>
DOI: 10.17632/pkb252vtps
title: Phase-field study of IMC growth in Sn–Cu/Cu solder joints including elastoplastic effects -- data sets and codes

description: The main phase-field matlab code and accompanying set-up and postprocessing matlab codes used for the work presented in "Phase-field study of IMC growth in Sn–Cu/Cu solder joints including elastoplastic effects", A. Durga, P. Wollants, N. Moelans, Acta Materialia, 88, P241-258, 2020. Each folder contains all the programs and the obtained simulation results for one of the loading cases, as mentioned in the paper. The m-files sim_solderxxxxx.m and invoer_solderxxxxx.m contain all the information needed to start-up the simulations. All the input data and cases considered are listed in the article. The m-file multi_comp_interf_xxxxx.m is the main function containing the implementation of all equations. The m-file width_layer.m derives the width as a function of time from the result files and stores this information in width_time.mat file. The m-file postprocess_final_100000s.m is used to generate the figures used in the article and along with the accompanying files getlinfit_2m.m, getlinfit.m to obtain the growth coefficients ‘k’ which are reported in the article. For plotting profiles of elastic energy density, von Mises stress, etc. at a certain time step, an example file ‘postprocess_elasticenergydensity.m’ is provided in folder ‘AppTensY_EqEig’, which plots the elastic energy density profile for ‘AppTensY_EqEig’ case. The m-file ParabolicGPlotting.m is used to generate the plots of the parabolic Gibbs energy density functions used in the article. The figures used in the article are provided in the ‘Figures’ folder in both .fig and .eps formats.
DOI: 10.17632/rkfzy4ytr6
title: Orbital-Scale Monsoon Weakening Since the Mid-Brunhes Event: Insights from Magnesium Isotopes in South China Sea Sediments

description: dataset and supplementary material supporting the above manuscript
DOI: 10.17632/6cmyyxswyp
title: Spotting political social bots in Twitter: a dataset for the 2019 Spanish general election

description: While social media has been proved as an exceptionally useful tool to interact with other people and massively and quickly spread helpful information, its great potential has been ill-intentionally leveraged as well to distort political elections and manipulate constituents. In the paper at hand, we analyzed the presence and behavior of social bots on Twitter in the context of the November 2019 Spanish general election. Throughout our study, we classified involved users as social bots or humans, and examined their interactions from a quantitative (i.e., amount of traffic generated and existing relations) and qualitative (i.e., user's political affinity and sentiment towards the most important parties) perspectives. Results demonstrated that a non-negligible amount of those bots actively participated in the election, supporting each of the five principal political parties. The dataset at hand presents the data collected during the observation period (from October 4th, 2019 to November 11th, 2019). It includes both the anonymized tweets and the users' data. Instructions ------------- Data have been exported in three formats to provide the maximum flexibility - MongoDB Dump BSONs: To import these data, please refer to the official MongoDB documentation. - JSON Exports: Both the users and the tweets collections have been exported as canonical JSON files. - CSV Exports (only tweets): The tweet collection has been exported as plain CSV file with comma separators.
DOI: 10.17632/hch28xtj6b
title: Odor concentration, odor activity values and chemical concentration of gases emitted upon composting of digestate of sewage sludge

description: In these datasets, the odor concentration and concentration levels of volatiles compounds are provided for gas samples collected through different stages of digestate composting. The OAV calculated from concentrations are also presented.
DOI: 10.17632/vjswxz8bwh
title: XX ƏSRİN ƏVVƏLLƏRİNDƏ ÖZBƏK ƏDƏBİYYATINDA CƏDİDİZM (ƏBDÜRRAUF FİTRƏTİN YARADICILIĞI ƏSASINDA)

description: Kitabda XX əsrin əvvəlləri özbək ədəbiyyatının görkəmli nümayəndəsi Əbdürrauf Fitrətin yaradıcılığından bəhs olunmuşdur. Fitrətin cədidçi müasirləri, özbək dramaturgiyasının romançılığının yaranması, ədibin nəsr, dramaturgiya və poeziya yaradıcılığında cədid ideyalarının ifadəsi öyrənilmişdir. Monoqrafiya müəllifin 2013-cü ildə müdafiə etdiyi eyniadlı magistr dissertasiyasının əsasında nəşrə hazırlanmışdır.
DOI: 10.6084/m9.figshare.12458126.v1
title: Supplementary Material for: AGO Recommendations for the Diagnosis and Treatment of Patients with Locally Advanced and Metastatic Breast Cancer: Update 2020

description: Medicine
DOI: 10.17632/n9x9cdg8js
title: Upadacitinib for Refractory Alopecia Areata Unresponsive to Prior Systemic Therapies: A Retrospective Study

description: Supplementary Materials of Upadacitinib for Refractory Alopecia Areata Unresponsive to Prior Systemic Therapies: A Retrospective Study
DOI: 10.17632/vk77k9gvg3
title: AnLoCOV

description: AnLoCOV is a large anonymized longitudinal GPS location dataset for studies spanning over pre- and post-COVID periods in Ecuador. This project contains data collected using the Global Positioning System (GPS) from mobile devices. This GPS data was acquired using the Google Location History, accessible in the Google Maps application. It includes data from 338 people over ten years (2012–2022). The dataset's goal is to promote studies on human mobility behavior and activity spaces using GPS data from mobile devices.
DOI: 10.17632/8w4vrpttpc
title: The Monte Carlo Program KKMC, for the Lepton or Quark Pair Production at LEP/SLC Energies—Updates of electroweak calculations

description: Since the KKMC program was published for the first time over 20 years ago, it has gained popularity and was exploited in a broad spectrum of applications. The core part of the program itself did not change much. In contrast, some of the libraries have evolved substantially. The aim of this publication is to archive four versions, alternative to the one published 20 years ago versions of the electroweak libraries (or just parameter initialization versions), which were instrumental for the precision Standard Model calculation from the end of LEP era till now and for the sake of the future applications/comparisons for the future electron–positron colliders, in particular for the FCC-ee related studies. These electroweak libraries are useful for the hadron collider applications as well, for instance for KKMC-hh or TauSpinner projects. The previous version of this program (ADMD_v1_0) may be found at https://doi.org/10.1016/S0010-4655(00)00048-5.
DOI: 10.17632/b9g2j6t5ds
title: Number of foreign nationals living in Turkey according to censuses for different years (1927-2000)

description: These data were prepared as part of the author's doctoral thesis research on ‘Turkish Migration Policy’. The aim of the research is to reveal the number of foreign population living in Turkey over the years. The language and explanations of the data are in Russian. 

Notes:
* Data on foreigners living in Turkey in the 1940 census have not been published in the official compilation.
** The 1950 census includes only data on foreigners over 5 years of age living in Turkey, working and living in cities with a population of more than 5,000.
*** The 1980 census was conducted immediately after the military coup of 12 September 1980. As in previous censuses, detailed data on foreigners living in Turkey were not published in the census results. Until 2000, these data were only presented in a summarised form.
DOI: 10.17632/k8cwxkfb92
title: dataset for old mdx mice with BLS-M22

description: This dataset includes all the experimental data for old mdx mice treated with BLS-M22.
DOI: 10.17632/sptynbg59f
title: The Effect of High-Intensity Interval Training (HIIT) and Moderate-Intensity Continuous Training (MICT) on Cardiorespiratory Function in Healthy Elderly Individuals

description: The Effect of High-Intensity Interval Training (HIIT) and Moderate-Intensity Continuous Training (MICT) on Cardiorespiratory Function in Healthy Elderly Individuals
DOI: 10.17632/tybx7gmw5s
title: Dataset on Analysis of Users and Nonusers (Acceptance of Public Cloud Storage Services in South Korea)

description: This is raw data for empirical study, “Acceptance of Public Cloud Storage Services in South Korea: A multi-Group Analysis”. This study amied to explore the differences and similarities between users and nonusers in the context of public cloud storage services of South Korea. 526 samples in South Korea were collected through an online survey. Data (users = 210; nonusers = 187) were analyzed using structural equation modeling. SmartPLS 3.0 tool was used for data analysis with a proposed research model. The data is uniquely characterized by focusing on individual-level voluntary technology acceptance within a non-organizational context. The data set is available for other researchers. There are some tips useful. ○ The file 2 is raw data about previous studies regarding cloud computing adoption at individual level. This raw data is summarized in Table 1 of this research paper, depending on study focus and model used. ○ To conduct exprimental repetability, you just follow "steps to reproduce" mentioned the below.
DOI: 10.17632/6z4tpsmdwt
title: Supplementary Material Tokez et al

description: Supplementary Material to the paper "Risk factors for metastatic cutaneous squamous cell carcinoma: refinement and replication based on two nationwide nested case-control studies" by Tokez et al. published in the JAAD.
DOI: 10.17632/c7dwrsd6z7
title: EGG

description: Certainly! Here's a data description you can use for your project:

---

*Data Description: Classification of Good and Bad Eggs (Ovum)*

This dataset consists of over 500 images capturing both good and bad eggs (ovum) under controlled conditions. The images were acquired using a Realme Narzo 20 Pro mobile camera, ensuring consistency in quality and resolution. Each image is taken against a black background to enhance contrast and improve the visibility of egg features, with natural daylight providing consistent and neutral lighting conditions.

*1. Data Acquisition:*
- *Device Used:* Realme Narzo 20 Pro mobile camera.
- *Resolution:* High-resolution images, typically around 48 MP, ensuring that fine details of the eggs are visible for precise classification.
- *Background:* Black background was chosen to create a sharp contrast between the eggs and the background, minimizing distractions and helping in accurate segmentation during analysis.
- *Lighting Condition:* Images were captured under daylight conditions, which provides natural and balanced lighting, reducing the chances of shadows or artificial lighting effects that could interfere with the classification process.

*2. Dataset Composition:*
- *Total Images:* The dataset comprises over 500 images, with a balanced number of good and bad eggs.
- *Classes:*
 - *Good Eggs:* These are ova that meet the criteria for being viable, healthy, and ready for further biological processes. Characteristics such as shape, color, texture, and overall integrity are typically used for classification.
 - *Bad Eggs:* These ova are deemed non-viable due to factors such as deformities, discoloration, irregular shapes, or damage. These characteristics make them unsuitable for further biological processes.

*3. Image Characteristics:*
- *Image Dimensions:* Images maintain high resolution, ensuring that subtle differences between good and bad eggs can be observed. 
- *Focus and Clarity:* The use of a mobile camera with advanced AI enhancements ensures that images are in focus, capturing the eggs' surface texture and features clearly.
- *File Format:* The images are stored in standard formats like JPEG or PNG, which are compatible with most image processing tools and machine learning frameworks.

*4. Purpose and Application:*
This dataset is intended for use in the classification and analysis of egg viability. It can be applied in machine learning algorithms aimed at distinguishing between good and bad eggs based on visual features. The high-quality images allow for detailed feature extraction, aiding in the development of robust models for automated classification.

This description should comprehensively cover the key aspects of your dataset while staying within the 3000-character limit. Let me know if you need any modifications or additional details!
DOI: 10.6084/m9.figshare.25342651.v2
title: Reduced Rank Spatio-Temporal Models

description: To simultaneously model the cross-sectional dependency and dynamic time dependency among <i>n</i> units, most research in spatial econometrics parameterizes the coefficient matrices among the <i>n</i> units as functions of known weights matrices. This modeling framework is over-simplified and faces the risk of misspecification when constructing the weights matrices. In this article, we propose a novel reduced-rank spatio-temporal model by assuming the coefficient matrices follow a reduced-rank structure. This specification avoids construction of the weights matrices and provides a good interpretation, especially for financial data. To estimate the unknown parameters, a quasi-maximum likelihood estimator (QMLE) is proposed and obtained via the Gradient descent algorithm with Armijo line search. We establish the asymptotic properties of QMLE when the number of units and the number of time periods both diverge to infinity. To determine the rank, we propose a ridge-type ratio estimator and demonstrate its rank selection consistency. The proposed methodology is illustrated via extensive simulation studies. Finally, a Chinese stock dataset is analyzed to investigate the cross-sectional and temporal spillover effects among stock returns.
DOI: 10.17632/h2fps4tpjg
title: Transparent Concrete by Using Optical Fibre as A Green Material for Building

description: Transparent concrete, a contemporary innovation in the construction realm, is swiftly garnering attention within the industry. This advancement in material technology not only marks a milestone in modern material production but also underscores a commitment to environmental sustainability and energy efficiency. Incorporating the creative dimension of design is essential to align with current environmental design paradigms. Transparent concrete emerges as a promising solution to contemporary environmental challenges, particularly in the context of reducing artificial lighting dependency in buildings. Developed to address this pressing need, it boasts impressive attributes. For instance, achieving a commendable 28-day compressive strength of 26.4 N/mm² for M20 grade concrete showcases its structural viability. Additionally, its light transmittance capabilities are notable, with values ranging from 9.47% to 7.76% at fibre spacings of 1.5 cm by adding Optical fibres of 1%, 2 %, 3 % 4 % 5% respectively. The integration of optical fibres enables both natural and artificial light to permeate through the translucent concrete, aligning with the overarching goal of reducing energy consumption attributed to lighting. By harnessing sunlight as a primary light source and leveraging optical fibres to detect structural stress, transparent concrete epitomizes a multifaceted approach towards sustainable construction practices. In essence, transparent concrete embodies a convergence of technological innovation, environmental consciousness, and pragmatic design principles, poised to redefine the landscape of modern construction by offering both aesthetic appeal and functional efficiency.
DOI: 10.17632/yvh9xy7v83
title: Biliary Microbiome Changes in Symptomatic Choledocholithiasis Patients Undergoing Endoscopic Retrograde Biliary Drainage

description: Project Overview: The report details the analysis of human bile samples, comparing pre- and post-surgery groups using GLC-MS technology. The analysis includes basic data processing, advanced data visualization, and customized analysis based on client needs.Project Overview: The report details the analysis of human bile samples, comparing pre- and post-surgery groups using GLC-MS technology. The analysis includes basic data processing, advanced data visualization, and customized analysis based on client needs.
Data Analysis Process: The workflow involves data preprocessing, clustering analysis, metabolite classification, principal component analysis (PCA), and orthogonal projections to latent structures-discriminant analysis (OPLS-DA).
Results: Key findings include the identification of significant metabolites, hierarchical clustering, box-plot analysis, matchstick analysis, radar chart analysis, correlation analysis, and KEGG pathway annotation.
Output Files: The report provides various output files, including raw data tables, processed data, statistical analysis results, and visualizations like heatmaps, pie charts, and volcano plots.
DOI: 10.17632/66bjx8h79p
title: Dataset for Deep Learning Based Navigation Assistance for the Visually Impaired People

description: The Dataset was created by extracting features from the recorded video sequences using custom object detection model of YOLO. It has some generalized features for every frame, such as the total number of objects detected in a frame, object distribution according to the position of the frame, proximity of the objects for the 2 and 4-meter ranges, and movement tracking of all objects by counting how many objects are moving away or getting closer. For the detected object, there are some specific features such as object class, average and minimum depth values, distance estimation, a calculated angle from the center of the frame, and movement direction of the object, whether it is moving away or approaching the user. These features are very relevant for the dataset of the AI model that will predict the decision about the movement of visually impaired people. These features were stored in 2 types of formats: CSV Format and JSON Format. For the CSV format, the object-specific features stored for only the three nearest objects. For the JSON format, all the extracted features and the object-specific features for all the detected objects in a single frame have stored in a structural way.
DOI: 10.17632/b4pjpdhxz9
title: Business model keywords dictionary

description: This document contains a dictionary of theory and practice-derived keywords used for content analysis of business models. The keywords are grouped by business model element and building block.
DOI: 10.17632/vs55cwssyh
title: OBIA4RTM Demonstration Data

description: This dataset provides sample data demonstrating the capacities of the OBIA4RTM tool. OBIA4RTM combines radiative transfer modelling (RTM) of vegetation with object-based image analysis (OBIA). Its main purpose is to provide vegetation parameters such as Leaf Area Index (LAI) or leaf Chlorophyll a+b content (CAB) on a per-object rather than per pixel base. In this dataset, the OBIA4RTM tool was applied to two Sentinel-2 scenes covering an agricultural area in Southern Germany. Field parcels were used as image objects that were delineated from high-resolution ortho-photography and classified into vegetated and non-vegetated parcels using a Support Vector Machine trained on manually selected samples. For each of the two scenes - dating back on the 6th and 18th of July 2017 - the canopy RTM ProSAIL was run in forward mode and the synthetic spectra stored in a Lookup-Table (LUT). For parameter retrieval, the 5 closest matches between spectra in the LUT and a given observed satellite spectrum averaged per parcel were used. Matches were found in terms of the lowest Root Mean Squared Error (RMSE). The utilized vegetation parameterisation is provided additionally. The results include the Leaf Area Index (LAI), the Chlorophyll a+b content (CAB) of leaves and the fraction of brown leaves (Cbrown). In addition, the retrieval error in terms of RMSE is provided together with the average of the 5 best matching synthetic spectra in the LUT to a given object-based spectrum. This allows for evaluating the quality of the inversion results and enables user to further improve the results by applying a more appropiate vegetation parameterisation. The structure of the dataset (see below) is straightforward: - The "Field Parcels" folder contains an ESRI shapefile with the field parcels as well as the classification results for the two image acquisition dates - The "ProSAIL Parametersisation" directory provides the vegetation parameters used to run the ProSAIL model. - The actual results are stored as ESRI-shapefiles in "Retrieved Vegetation Parameters" folder containing the LAI, CAB, Fraction of brown leaves and the RMSE as well as inverted Sentinel-2 spectra - "Sentinel-2 data" contains the utilized Sentinel-2 data as GeoTiff clipped to the study area in Level-2A This information should allow for reproducing the results using the freely available base version of OBIA4RTM (for research and education) or within other software packages. All geodata is projected in UTM-Zone 32N, WGS-84.
DOI: 10.17632/zsfz3chjzj
title: Side Profile Vehicle Binary Images

description: This is a dataset of vehicle's binary images obtained with an optical barrier. The main goal off this dataset is to train and test a vehicle classification method. Categories are defined according to the number of axles and the presence of double wheel or not. (See the vehicle_categories.png) This dataset is composed by 3 folders. Train: Images used to train a CNN. (Over 1000 images/cat) Total of 11232 images. Experiment1: Images used to validate.5389 images. Experiment2: Field test. Four days off images. 196018 images. Train and Experiment1 are selected images from the same lane, in different periods over 3 months. Experiment2 has images from several different lanes, and 3 different toll stations. We do not delete any image in this set.
DOI: 10.17632/4r54998p2w
title: Thesis
DOI: 10.17632/7f263ywvv9
title: Personality and student's motivation

description: The present qualitative study analyzes the effect of whole personality traits on motivation to learn by students using an ITS.