cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2jm7zydbrd.1
title: Raw data of the XRD on the dehydration of antigorite at 400-2200 MPa and 600-725 °C

description: This data set includes 13 raw data of XRD. The XRD data were obtained from the measurements on the recovered samples during antigorite dehydration at 400-2200 MPa and 600-725 °C with durations of 12 and 16 h. All dehydration experiments were conducted under initially water-unsaturated conditions using a piston-cylinder apparatus.
DOI: 10.17632/cbd8bnhg3n.1
title: Effects of Virtual Reality-based Motor Control Training on Inflammation, Oxidative Stress and Neuroplasticity in Patients with Chronic Stroke: A randomized controlled trial

description: Background: Virtual reality (VR)-based rehabilitation is the innovative approach in motor control training in individuals with stroke. Currently, most outcome assessments of motor performance in stroke were based on subjective functional scales and instruments. Detecting serum biomarkers related to inflammation, oxidative stress, and neuroplasticity, might provide precise and subtle changes after motor control training in patients with stroke. Objectives: This study aims to identify the effects of immersive VR-based intervention of motor control training on motor function improvement, inflammation, oxidative stress, and neuroplasticity in patients with stroke. Methods: This is an assessor-blinded, randomized controlled study. Patients with stroke will be randomly assigned to the VR training (VRT) group or the conventional occupational therapy (COT) group. Clinical assessments will include motor performance and active range of motion (AROM) of the upper limb. Serum concentrations of inflammation, oxidative stress, and neuroplasticity will be assessed, including interleukin 6 (IL-6), intracellular adhesion molecule 1 (ICAM-1), heme oxygenase 1 (HO-1), 8-hydroxy-2-deoxyguanosine (8-OHdG), and brain-derived neurotrophic factor (BDNF). Expected outcomes: After the intervention, both groups will show improvements in motor performance and the changes of inflammation, oxidative stress, and neuroplasticity. As compared to the COT group, the VRT group will show greater improvements in motor performance and AROM of the upper limb, greater induction of HO-1 and BDNF levels, and greater reductions in 8-OHdG.
DOI: 10.17632/yky4rzy4dd.1
title: Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics-Informed Neural Network Model

description: Data and codes for the paper "Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics-Informed Neural Network Model"
DOI: 10.17632/tb9yrptydn.2
title: Dataset of electric passenger cars with their specifications

description: This dataset lists all fully electric passenger cars with their attributes (properties). The collection does not contain data on plug-in hybrid cars and electric cars from the so-called “range extenders”. Hydrogen cars were also not included in the dataset due to the insufficient number of mass-produced models and different (compared to EV) specificity of the vehicle, including the different charging methods. The dataset includes cars that, as of 2 December, 2020, could be purchased in Poland as new at an authorized dealer and those available in public and general presale, but only if a publicly available price list with equipment versions and full technical parameters was available. The list does not include discontinued cars that cannot be purchased as new from an authorized dealer (also when they are not available in stock). The subject of the study is only passenger cars, the main purpose of which is to transport people (inter alia without including vans intended for professional deliveries). The dataset of electric cars includes all fully electric cars on the primary market that were obtained from official materials (technical specifications and catalogs) provided by automotive manufacturers with a license to sell cars in Poland. These materials were downloaded from their official websites. In the event that the data provided by the manufacturer were incomplete, the information was supplemented with data from the SAMAR AutoCatalog (link can be found in References section). The database consisting of 53 electric cars (each variant of a model – which differs in terms of battery capacity, engine power, etc. – is treated as separate) and 22 variables (25 variables, including make, model and “car name” merging these two previous).
DOI: 10.17632/f6cwz9jrhc.2
title: Replication Codes for Real Interest Rates and Productivity in Small Open Economies

description: This is the replication package for the paper "Real Interest Rates and Productivity in Small Open Economies includes" by Tommaso Monacelli, Luca Sala and Daniele Siena. 
The file contains (i) all the data (ii) an online appendix including the exact description of the data (iii) replication codes for all the figures of the paper (iv) replication codes for all the figures mentioned in the paper and not directly shown.
DOI: 10.17632/rgvsv4ywwy.1
title: Data for: How does students' general academic achievement moderate the implications of social networking on specific levels of learning performance?

description: The data relates to students’ use of social networking sites (SNSs), with particular focus on Facebook and the associated functions of Facebook. There is also data on students’ use of other SNSs (Linkedin, Snapchat and Twitter) for comparative purposes. This data can be associated with student performance, which is related to the learning levels in Bloom taxonomy. Control data on student characteristics that may also relate to learning performance is also included.
DOI: 10.17632/yt79wsksg9.1
title: DCTD_Aginome-XMU Round 1 submitted models

description: Team Aginome-XMU submitted models to DREAM Challenge Tumor Deconvolution

The Challenge consisted of a “coarse-grained” sub-Challenge, during which participants predicted levels of eight major immune and stromal cell populations [including B cells, CD4+ and CD8+ T cells, NK cells, neutrophils, cells within the monocytic lineage (monocytes/macrophages/dendritic cells), endothelial cells, and fibroblasts].

The Challenge also consisted of a “fine-grained” sub-Challenge, during which participants further dissected major populations into 14 minor sub-populations according to their functional orientation (e.g., naive B cells, memory B cells, naive CD4 T cells, memory CD4 T cells, naive.CD8 T cells, memory CD8 T cells, regulatory T cells, monocytes, macrophages, myeloid dendritic cells, NK cells, neutrophils, endothelial cells, and fibroblasts).
DOI: 10.17632/rmyf76tzym.1
title: The Empathetic Involvement of Nurses in the Contexts of Neuroscience: A Mixed-Method Study

description: Abstract: 
Background/Objectives: Empathy in nurses operating within neuroscience contexts plays a crucial role in the quality of care, influencing both patient outcomes and the well-being of healthcare workers. Brain plasticity, which responds to empathetic experiences, suggests a pathway to enhance nursing education and clinical practices. This study aimed to explore the impact of empathy on nursing practices in neuroscience contexts.
Methods: Employing a mixed-method approach, we conducted a quantitative survey with 211 nurses working in various neuroscience settings using the Balanced Emotional Empathy Scale (BEES) and semi-structured qualitative interviews to delve deeper into empathetic experiences. The thematic analysis explored coping strategies and the impact of the work environment on expressing empathy.
Conclusions: The quantitative findings revealed no significant differences in empathy across the different neuroscience settings but highlighted variations related to age and years of service. The interviews brought to light the challenges faced by nurses in highly emotionally involved situations and the strategies they employ to manage empathy and maintain professional detachment. Training and organizational support emerged as key factors in sustaining the expression of empathy, acknowledging the difficulties and providing necessary support. The findings of this study underscore the essential role of empathetic capability in nursing care in neuroscience. They also highlight the need for a supportive work environment and targeted training opportunities. The implications of these findings are significant and should guide future research and practice in the field of neuroscience nursing.

We inserted quantitative data base on online questionnaries and an exeplification of an interview thematic analysis. Qualitative data are in italian language.
DOI: 10.17632/p4c49m3pvr.2
title: "GermanFakeNC" - German Fake News Corpus including manually fact-checked false statements

description: "GermanFakeNC" is a German Fake News Corpus including 490 texts which were retrieved from German alternative online media sources. Every fake statement in the text was verified claim-by-claim by authoritative sources (e.g. from local police authorities, scientific studies, the police press office, etc.). The time interval for most of the news is established from December 2015 to March 2018. Description of the .json file: Date: publication date of the article URL: URL of the website A maximum of three false statements are provided: False_Statement_[1-3]_Location: Location of the verified false statement - Title, Teaser or Text False_Statement_[1-3]_Index: The index numbers refer to the token (!) position / number. We tokenized the text with "spaCy" (the free open-source library for Python). Example: Title of Text: "The quick brown fox jumped over the lazy dog. The fox broke both his legs while jumping." False_Statement: The fox broke both his legs while jumping. "False_Statement_1_Location": "Title", "False_Statement_1_Index": "11-19" Ratio_of_Fake_Statements: Percentage of fake found in the article 1 = Text is based on true information. Up to 25% of the information in the text is false 2 = Up to 50% of the information in the text is false. The other statements in the article are factually accurate 3 = Up to 75% of the content non-factual and incorrect 4 = Pure fabrication with up to 100% false information in text 9 = Unclear, unverifiable Overall_Rating of the disinformation in text: range [0.1:1.0]. 0.1 no disinformation in text 0.2 0.3 0.4 0.5 neutral / ambivalent 0.6 0.7 0.8 0.9 1.0 strong disinformative text ====================================================================== The original sources retain the copyright of the data. You are allowed to use this dataset for research purposes only. For more question about the dataset, please contact: Inna Vogel, inna.vogel@sit.fraunhofer.de v1.01/09/2019
DOI: 10.17632/573d7zc4vn.1
title: Carbon Emission Accounting and Economic Growth in Nigeria

description: Abstract:This study investigated the relationship between carbon emission and economic growth in Nigeria for a period ranging from 1981-2018. The proxy for carbon emission is carbon dioxide CO2 and the proxy for economic growth is gross domestic product. The study used causal research design to mobilize data from the World Bank and Fact Fish publications while gross domestic product is sourced from the Central Bank of Nigeria Statistical Bulletin. The methods of descriptive statistics, Phillip-Perron, dynamic ordinary least Square and bivariate granger causality test are employed to analyze the data. The results show evidence of autoregressive effect of previous records of gross domestic product on its future value; there is an inverse relationship between carbon emission and gross domestic product. The bivariate granger causality confirms no existence of causality running between the variables. On the basis of the findings, the study concludes that there is an insignificant and negative relationship between carbon emission and Gross domestic product. It also concludes that CO2 and GDP are causally neutral to each other. It therefore recommends that earnest effort should be made by government to reduce greenhouse gas (GHG) in Nigeria by adhering to all relevant protocol and standards. Emissions not connected to the production of industrial and consumer goods should be taxed and avoided completely except the inevitable domestic emissions by practically applying the necessary laws both national and international. Precisely, focus should be shifted to going green in terms of energy generation, ensuring positive multiplier effect of constant power supply and the economics of clean air on the human health and productivity (PDF) Carbon Emission Accounting and Economic Growth in Nigeria. Available from: https://www.researchgate.net/publication/349238216_Carbon_Emission_Accounting_and_Economic_Growth_in_Nigeria [accessed May 19 2021].
DOI: 10.17632/rv7hktj86h.1
title: Network dynamics of the football transfer market in the 10 major European leagues from 1992 to 2022

description: player_trasfers contains all football player transfer between 1992 and 2022 in which at least one of the two teams involved in the transaction participated in one of the main championship of the 10 major European leagues: English Premier League; the Spanish La Liga; the Italian Serie A; the German Bundesliga; the French Ligue 1; the Portuguese Liga Portugal; the Dutch Eredivisie; the Turkish Super Lig; the Belgian Jupiler Pro League and the Russian Premier Liga. The other files are the transfer edgelist described in the paper titled: Network dynamics of the football transfer market in the 10 major European leagues from 1992 to 2022, Massimiliano Alberici, Alfonso Semeraro, Arthur Capozzi
DOI: 10.17632/x5kjp6bnd9.1
title: Data for: VULNERABILITY INDEX RELATED TO POPULATIONS AT RISK FOR LANDSLIDES IN THE BRAZILIAN EARLY WARNING SYSTEM (BEWS)

description: This dataset includes 27,116 landslide risk polygons distributed in 443 Brazilian municipalities. In each of these risk areas, the vulnerability index was calculated according to the methodology of the article.
DOI: 10.17632/zbjp2g98n9.1
title: NUAK1 raw dataset

description: the files are the raw data for the research article “NUAK1 activates STAT5/GLI1/SOX2 signaling to enhance cancer cell expansion and drives chemoresistance in gastric cancer”. of which, exprSet_counts72 is file obtained from Thirty-six pairs of tumor and adjacent non-tumor samples subjected to whole-transcriptome sequencing (FJMUUH cohort).
DOI: 10.17632/p3md3c49tp.1
title: SPB model

description: The SPB model is the simplest method for calculating thermoelectric properties through several parameters.
SPB can calculate the ZT value, Lorentz factor etc. by parameters such as temperature, effective mass, 
deformation potential energy, density sound velocity, and lattice thermal conductivity.
SPBn can calculate reduced Fermi level, effective mass, deformation potential energy, 
and Hall coefficient through parameters such as Hall carrier concentration, carrier mobility, 
sound velocity, density, Seebeck, and temperature.

If you have any questions, please contact:
Chen Qi 1793666025@qq.com address：State Key Laboratory of Superhard Materials, School of Physics, Jilin University
DOI: 10.17632/syf3v93tfy.5
title: School attachment and internet addiction

description:  The main hypothesis of the study was that there is a negative relationship between dimensions of attachment to school and Internet addiction. The data includes 525 respondents who are high school students in Kosovo, from whom data was collected with a questionnaire on the relationship between the dimensions of attachment to school and internet addiction. The data includes: demographic data, data related to school engagement in 5 dimensions, as well as data related to internet addiction. In the demographic part there are 8 questions, in the part about internet addiction there are 9 questions and for attachment to the school there are 24 questions divided into 5 dimensions. Responses to the Internet addiction scale require responses on a Likert scale: never, rarely, sometimes, often, and always. And those in the questionnaire for attachment to the school are also according to the Likert scale: 1 (strongly disagree), 2 (strongly disagree), 3 (strongly agree), 4 (strongly agree) and 5 (strongly agree).  The results of the study suggest that there is a weak negative significant relationship between Internet addiction and dimensions of attachment to school, such as with feelings about school (- 0.283), interest in learning (- 0. 138), attitudes towards teachers (- 0.123 ) and students. school perception (- 0.274). But there was no significant relationship between internet addiction and attitudes towards students (0.058).  The main hypothesis of the study was that there is a negative relationship between dimensions of attachment to school and Internet addiction. The data includes 525 respondents who are high school students in Kosovo, from whom data was collected with a questionnaire on the relationship between the dimensions of attachment to school and internet addiction. The data includes: demographic data, data related to school engagement in 5 dimensions, as well as data related to internet addiction. In the demographic part there are 8 questions, in the part about internet addiction there are 9 questions and for attachment to the school there are 24 questions divided into 5 dimensions. Responses to the Internet addiction scale require responses on a Likert scale: never, rarely, sometimes, often, and always. And those in the questionnaire for attachment to the school are also according to the Likert scale: 1 (strongly disagree), 2 (strongly disagree), 3 (strongly agree), 4 (strongly agree) and 5 (strongly agree).  The results of the study suggest that there is a weak negative significant relationship between Internet addiction and dimensions of attachment to school, such as with feelings about school (- 0.283), interest in learning (- 0. 138), attitudes towards teachers (- 0.123 ) and students. school perception (- 0.274). But there was no significant relationship between internet addiction and attitudes towards students (0.058). These results make sense because a strong attachment to school implies a lower Internet addiction and vice versa.
DOI: 10.17632/ydkgfdc38t.1
title: PyFitit: The software for quantitative analysis of XANES spectra using machine-learning algorithms

description: X-ray absorption near-edge spectroscopy (XANES) is becoming an extremely popular tool for material science thanks to the development of new synchrotron radiation light sources. It provides information about charge state and local geometry around atoms of interest in operando and extreme conditions. However, in contrast to X-ray diffraction, a quantitative analysis of XANES spectra is rarely performed in the research papers. The reason must be found in the larger amount of time required for the calculation of a single spectrum compared to a diffractogram. For such time-consuming calculations, in the space of several structural parameters, we developed an interpolation approach proposed originally by Smolentsev and Soldatov (2007). The current version of this software, named PyFitIt, is a major upgrade version of FitIt and it is based on machine learning algorithms. We have chosen Jupyter Notebook framework to be friendly for users and at the same time being available for remastering. The analytical work is divided into two steps. First, the series of experimental spectra are analyzed statistically and decomposed into principal components. Second, pure spectral profiles, recovered by principal components, are fitted by theoretical interpolated spectra. We implemented different schemes of choice of nodes for approximation and learning algorithms including Gradient Boosting of Random Trees, Radial Basis Functions and Neural Networks. The fitting procedure can be performed both for a XANES spectrum or for a difference spectrum, thus minimizing the systematic errors of theoretical simulations. The problem of several local minima is addressed in the framework of direct and indirect approaches.
DOI: 10.17632/44k7pff4mr.1
title: Breast Cancer RNA-seq Dataset for Survival Analysis

description: The Breast Cancer microarray dataset is organized as just an array. The functions (genes) are expressed by array rows whereas the columns are used to represent the instances. There are two classes: Death or Alive. Dataset name Death Alive Total BC RNA-seq-Dataset 1867 1539 3406 BC RNA-seq Dataset are collected from three resources
DOI: 10.17632/4dv53x925y.1
title: Third molar size predictive model

description: This model is based on computed tomography data from 323 molar regions of a multiethnic group of 99 Western Canadian dental patients. This model has been created for the following main purpose: predict third molar crown size* based upon the size of the adjacent second molar crown**. * Third molar/first molar size ratio. ** Second molar/first molar size ratio.
DOI: 10.17632/xbx2j63xfd.1
title: Android Mischief Dataset

description: The Android Mischief Dataset is a dataset of network traffic from mobile phones infected with Android RATs. Its goal is to offer the community a dataset to learn and analyze the network behavior of RATs to propose new detections to protect our devices. The dataset consists of 8 packet captures from 8 executed Android RATs. The Android RATs used in the dataset are: - RAT01 - Android Tester v6.4.6 - RAT02 - DroidJack v4.4 - RAT03 - HawkShaw - RAT04 - SpyMAX v2.0 - RAT05 - AndroRAT - RAT06 - Saefko Attack Systems v4.9 - RAT07 - AhMyth - RAT08 - Command-line AndroRAT The dataset contains a folder and its zip for each of the experiments. Each experiment was conducted manually by controlling the attacker and the victim. Considering that, each folder contains the following files: - README.md - the generic description of the execution, containing the name of the executed RAT, details of the RAT execution environment, details of the pcap (client’s IP and server’s IP, time of start of the infection). - APK - APK file generated by the RAT’s attacker program. - Log - very detailed and specific time log of all the actions performed in the client and the server during the experiment. - Pcap - network traffic of the whole infection. - Screenshots - a folder with screenshots of the mobile device and controller while performing malicious actions. - Zeek logs - a folder with Zeek generated logs after running Zeek on a RAT pcap. The zip files are encrypted with the password ‘infected’.
DOI: 10.17632/xmvnbsrymd.1
title: Spatial Datasets for: Legacy Iron and Steel Wastes in the UK: Extent, Resource Potential, and Management Futures.
DOI: 10.17632/s48ywfyns5.1
title: Climate Resilience Strategies: The Dual Role of Phase Change Materials and Pre-Conditioning in Building Performance Resilience Strategies (data set)

description: This dataset supports the study on enhancing residential building resilience against extreme weather by integrating phase change materials (PCM) and pre-conditioning strategies. The dataset includes detailed pseudo-codes for simulating grid outages and pre-conditioning strategies in EnergyPlus:

 • Outage Algorithm: Models energy system behavior during a grid outage, incorporating battery charge status and recovery schedules.
 • Pre-conditioning Algorithm: Implements pre-conditioning strategies by adjusting setpoints and schedules before an anticipated outage.
This dataset can be used to:
 • Replicate simulation methodologies.
 • Analyze the impact of resilience strategies on building performance.
 • Develop and test new resilience measures for residential buildings.