cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zdsgxwksn5.1
title: Dataset on Voltage and Current Data Acquisition During Broadband Electrochemical Impedance Spectroscopy of Lithium-Ion Batteries for Different Values of the State of Charge

description: The Electrochemical impedance spectroscopy (EIS) were measured on four brand new Samsung cylindrical  ICR18650-26J rechargeable  lithium-Ion batteries at SoC 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, and 10%.  The measurements were repeated six times for each battery. Measurements on other batteries will be added to the dataset when available.
Please note that this dataset contains the raw voltage and current data acquisition files in *.mat Matlab format. You will find computed EIS in the linked dataset.
DOI: 10.17632/mfj5b5hc7w.1
title: Data on the chemical properties of Retisols in the Smolenskoye Poozerie National Park

description: Data on changes in the physicochemical proхies and extractable element fractions of soils at different stages of reforestation are presented. The following stages of natural reforestation have been identified within the Smolenskoye Poozerye National Park Biosphere Reserve: agrocenosis, meadow, forests with the age of the tree stand &lt;30, 35-60, 70-80, 80-110, 90-130, 110-135 years. In Albic Retisols (Loamic), the differentiation of soil proxies was studied: pH, total organic carbon (TOC), grain size fractions, C:N, available P, K, as well as easily-exchangeable, hardly-exchangeable, bound with complexes, Fe-Mn (hydr)oxides fractions of 27 chemical elements.
DOI: 10.17632/5y43rjdmxd.1
title: Afivo: A framework for quadtree/octree AMR with shared-memory parallelization and geometric multigrid methods

description: Afivo is a framework for simulations with adaptive mesh refinement (AMR) on quadtree (2D) and octree (3D) grids. The framework comes with a geometric multigrid solver, shared-memory (OpenMP) parallelism and it supports output in Silo and VTK file formats. Afivo can be used to efficiently simulate AMR problems with up to about 10^8 unknowns on desktops, workstations or single compute nodes. For larger problems, existing distributed-memory frameworks are better suited. The framework has no built-in functionality for specific physics applications, so users have to implement their own numerical methods. The included multigrid solver can be used to efficiently solve elliptic partial differential equations such as Poisson’s equation. Afivo’s design was kept simple, which in combination with the shared-memory parallelism facilitates modification and experimentation with AMR algorithms. The framework was already used to perform 3D simulations of streamer discharges, which required tens of millions of cells.
DOI: 10.17632/5x68fv63sh.1
title: Linux-APT-Dataset-2024

description: A novel dataset that captures the behaviour and patterns of Advanced Persistent Threat (APT) attacks in Linux environment.
DOI: 10.17632/dzcs9jgxn9.1
title: HEAPS: A user-friendly tool for the design and exploration of high-entropy alloys based on semi-empirical parameters

description: The High-Entropy Alloys Predicting Software (HEAPS) (available for download at www.rpm.usm.cl) is a user-friendly and free tool conceived to explore and design high-entropy alloys through the calculation of several physical and semi-empirical parameters and the evaluation of multiple criteria addressing the prediction of their phase formation and mechanical properties. Thus, the software allows the evaluation of individual alloys and series of alloys according to certain user-defined composition rules. Additionally, HEAPS allows screening among thousands of alloys, aiming for particular microstructures or phases, based on the simultaneous evaluation of the several parameters and criteria included. This article presents a brief description of the parameters and criteria included in the current version of HEAPS, the algorithm, and the different functions involved in it. Lastly, two use cases are presented: i) using the Single Calculation mode to evaluate the performance of the criteria regarding the formation of the Laves phase in two high-entropy alloys and contrasting it with experimental data, and ii) using the Explorer mode, to screen and design ductile and light-weight single-phase refractory high-entropy alloys.
DOI: 10.17632/n85kwcgt7t.1
title: A 12-month Data of Hourly Energy Consumption Levels from a Commercial-type Consumer

description: This is an hourly electricity consumption data with 8784 records for the whole 2016 year. The following are the attributes in the energy_consumption_levels csv file. 3_levels: three levels (i.e. low, med, high) of energy use 5_levels: five levels (i.e. very low, low, med, high, very high) of energy use 7_levels: seven levels (i.e. level 1, 2, 3, 4, 5, 6, 7) of energy use in MWh consumption: numerical value of energy use temperature: historical hourly meteorological data (temperature) measured in Celsius degrees hour_of_day: hour of the day (1 to 24) day_of_week: day of the week (1 to 7) day_of_month: day of the month (1 to 31) month_of_year: month of the year (1 to 12) The energy consumption is retrieved from smart metering device from a commercial-type consumer and the environmental temperature is recorded by the meteorological sensors of a specialized institute for the whole year 2016. The energy levels (3_levels, 5_levels and 7_levels) are produced by cutting the data into n number of bins (3, 5, 7) using simple statistics or using some already prepared functions. The rest of the data are already cleaned originally prepared by Pîrjan, Alexandru, et al. in their paper entitled: "Devising Hourly Forecasting Solutions Regarding Electricity Consumption in the Case of Commercial Center Type Consumers." (published in Energies 10.11 (2017): 1727) with the new added attributes on its energy levels.
DOI: 10.17632/6s6ph9n8zg.3
title: Graphite//LFP synthetic duty cycle dataset (&gt; 125,000 duty cycles)

description: This dataset contains close to 130,000 individual duty cycles with one voltage curve for every 200 cycles (one every 10 cycles for cycles 1-200). It was calculated using the mechanistic modeling approach. See “Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis“ (Journal of Power Sources, Volume 479, 15 December 2020, 228806) and "Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis" (Energies, under review) for more details. This dataset necessitate the associated V vs. Q dataset to be functional (10.17632/bs2j56pn7y.3) 15 variables are included, see read me for details on variable and examples.
DOI: 10.17632/n33fzh6wgy.1
title: Annual Summaries of Heatwave Aspects in Europe, as defined by the Excess Heat Factor 

description: The dataset includes six yearly time series of six Heatwave aspects/metrics calculated from the E-OBS dataset (v19eHOM, available in https://www.ecad.eu/download/ensembles/downloadversion19.0eHOM.php) following the Excess Heat Factor methodology implemented in the ClimPACT tool, considering the extended summer season (from June to September) and covering the European region.

Accordingly, each geodata file (GeoTIFF format, EPSG:4326) depicts a time series of a given type of annual statistical summary, comprising 69 bands from 1950 to 2018 (i.e., one per year). These heatwave annual aspects/metrics are as follows:

(i) annual Number of Heatwaves (HWN) - the annual sum of the number of heatwave events, in file 'ehf_eobs_e19HOM_1950-2018_reference_1961-1990_ann_hwn.tif';
(ii) annual Heatwave Days Frequency (HWF) - the annual sum of the number of heatwave days, in file 'ehf_eobs_e19HOM_1950-2018_reference_1961-1990_ann_hwf.tif';
(iii) annual Maximum Heatwave Duration (HWD) - the annual maximum length (in number of days) of the heatwave events, in file 'ehf_eobs_e19HOM_1950-2018_reference_1961-1990_ann_hwd.tif';
(iv) annual Mean Heatwave Magnitude (HWM) - the annual mean intensity of the heatwave events, in file 'ehf_eobs_e19HOM_1950-2018_reference_1961-1990_ann_hwm.tif';
(v) annual Maximum Heatwave Amplitude (HWA) - the annual maximum intensity of the heatwave events, in file 'ehf_eobs_e19HOM_1950-2018_reference_1961-1990_ann_hwa.tif';
(vi) annual Maximum Heatwave Severity (HWS) - the annual maximum severity of the heatwave events, in file 'ehf_eobs_e19HOM_1950-2018_reference_1961-1990_ann_hws.tif'.

These annual time series can be used in heatwave-related studies, particularly those focusing on climatology, trends and impacts on human health.
Further details on the methodologies are described in the 'Steps to reproduce' section, as well as in the source scientific publication (Oliveira at al., 2022).
A. Oliveira, A. Lopes, A. Soares (2022). Excess Heat Factor climatology, trends, and exposure across European Functional Urban Areas, Weather and Climate Extremes, 36, Elsevier. DOI: https://doi.org/10.1016/j.wace.2022.100455
DOI: 10.17632/2mt5sxp75j.1
title: Multi-Modal Inspection of Industrial Structures v1.0

description: Thermography is a Non-Destructive Testing (NDT) technology that measures the thermal distribution of a specimen by quantifying the electromagnetic radiation emitted, reflected and transmitted at lower frequency than the visible light part of the spectrum. Despite some previous studies addressing the estimation of surface and shape characterization from multiple or single active thermograms, thermography, by nature, is a bi-dimensional sensing technology unable to provide information about the specimen's texture and geometry without any preparatory process. Thus, many studies have recently focused on using multi-modal platforms to obtain extensive information about the inspected scene. Still, data availability and algorithm implementation difficulties are faced by the analysts when performing the registration of consecutive 3D data from multiple sensors and Fields of Views (FOVs). This study presents a complete solution for multi-modal inspection of industrial components, including a processing pipeline for registering consecutive multi-modal point clouds. A comparative evaluation of optimization and learning based registration methods is provided as part of the processing pipeline. Moreover, a benchmark dataset of point cloud data from different FOVs of industrial and construction components is provided (Lemanchot-points), having 5 point clouds with depth, color, and thermal information at each point. The experimental campaign conducted with different objects demonstrates the proposed solution's applicability for the multi-modal inspection of industrial components.
DOI: 10.17632/hykdyc24xp.2
title: Mango dataset1 - original

description: Mango dataset 1 (1300 images) with four varieties, Gui Qi, Ao Mango, Jin Huang, and Tainong, and two weather conditions, sunny and cloudy. There are 300 more in the mango dataset2-enhance folder. In addition, there are 700 semantic segmentation datasets of mango fruit stalks
DOI: 10.17632/f4zt4myrb7.1
title: Cryptocurrency dataset (1984-2020)

description: The Cryptocurrency research & publication dataset, which was indexed by Scopus from 1984 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/3dc7n482rt.3
title: Raw dataset with accelerometer, gyroscope, magnetometer, location and environment data for activities without motion

description: This raw dataset presents the data related to the sleeping, watching TV, and driving captured with the data acquired from accelerometer, gyroscope, magnetometer, location, and environment available in off-the-shelf mobile devices.
DOI: 10.17632/7bbph66tn9.1
title: Dataset for Chicken Quality Evaluation

description: It contains high-quality images of Chicken at 22 different timestamps:- 09.30 AM, 09.50 AM, 10.20 AM, 10.40 AM, 11.10 AM, 11.30 AM, 11.50 AM, 12.10 PM, 12.30 PM, 06.20 PM, 06.50 PM, 07.10 PM, 08.30 PM, 08.50 PM, 09.20 PM, 09.40 PM, 10.00 PM, 10.30 PM, 10.55 PM, 11.20 PM, 11.40 PM, and 12.05 AM timestamps.

The authors want to thank Sri Snehasis Guha, PIC of Malda Polytechnic, 5th-semester students of the department of Food Processing Technology, Malda polytechnic, Government of West Bengal, India, for their support.
DOI: 10.17632/4spj4mbpjr.2
title: Student Career Dataset

description: The research aims to investigate the relationship between students' reported skills and their chosen career fields, hypothesizing that students with specific skills are more likely to pursue careers aligned with those skills.
Data Description: The dataset comprises two main columns: "Skill" and "Career." The "Skill" column contains textual data representing the skills reported by students, such as "web development," "mobile app development," etc. The "Career" column contains textual data representing the career fields students aspire to enter, such as "Development," "Software Engineering," etc. The data were collected through surveys or self-reported information provided by students.
Analysis and Findings: Analysis of the data reveals notable findings indicating strong associations between students' reported skills and their chosen career fields. For instance, students who reported skills in "web development" often expressed interest in careers related to "Development" or "Software Engineering." Similarly, students with skills in "mobile app development" tended to aspire to careers in "Mobile Application Development" or "Software Engineering." The data suggest that students' reported skills play a significant role in shaping their career aspirations.
Interpretation and Implications: The data provide valuable insights for educators, career counselors, and students themselves. Educators and counselors can use this information to provide tailored guidance to students based on their reported skills, helping them align their skill sets with suitable career paths. Students can also benefit from understanding the correlation between their skills and potential career opportunities, enabling them to make more informed decisions about their academic and professional trajectories. Overall, the data shed light on the importance of skill development and its impact on career choices in the field of computer science and software engineering.
DOI: 10.17632/w2yk8g568t.1
title: Nyvltova et al. ICP-MS Data

description: ICP-MS analysis of proteins immunoprecipitated with beads conjugated with FLAG antibody (anti-DYDDDDDK beads, Sigma), from mitochondrial extracts of wild-type HEK293T (negative control) and COX11-KO+COX11-FLAG, COX11-KO+COX11C219D-FLAG, COX11-KO+PET91-FLAG, COX11-KO+PET91C30+41D-FLAG, PET191-KO+PET191-FLAG and PET191-KO+PET191C30+41D-FLAG. 16mg of isolated mitochondria was used for each sample, for each analysis. Three independent repetitions were performed.
DOI: 10.17632/27cndjvfbx.1
title: credit risk assessment

description: Nowadays, the three major credit risks at banks and financial institutions are effective in various models. These factors include the risk of customer failures, losses rate in case of failure sand outstanding debts. For the purpose of reducing credit risks for banks and financial institutes, it is first necessary to obtain financial and non-financial information with the customers to design and validate a model to assess the credit risk. The main objective of this study is utilizing data mining and knowledge extraction methods to creating a model for analyzing the credit risk factors as well as the causes of delay in installments. Many efforts have been carried out to reduce credit risk by a diversity of approaches such as statistics methods, operating research and financial theories, but lack of the efficient credit risk approaches is a major cause of bank failures and crises around the world.
DOI: 10.17632/6rkxx9j2wr.2
title: code

description: Boosting the Vat Photopolymerization Fidelity through a Machine Learning based Boundary Prediction
DOI: 10.17632/d833hhftpy
title: Test for the original article

description: These are supplementary figures and tables.
DOI: 10.17632/hfz5d5ypr6.1
title: Table (not exhaustive) of Brazilian biodiversity citizen science initiatives

description: Not exhaustive excel sheet containing Brazilian citizen science initiatives categorized by: objectives, type of citizen scientists’ involvement (contributory, collaborative or co-created), regio of occurrence in the country (North, Northeas, Central-West, Southeast or South), geographical abrangence (local, regional or global), studied taxon, study goal (action, conservation, investigation, virtual or education), covered ecosystem (marine, terrestrial or freshwater) and Essential Biodiversity Variables (EBVs) addressed. The references for each initiative is also provided. This dataset is related to the research article "Nascimento, A.P.; Ghilardi-Lopes, N.P. Current status and possibilities of citizen science for biodiversity conservation in Brazil."
DOI: 10.17632/s72kbfrfcv.1
title: AAD Guidelines of care for the management of atopic dermatitis in adults with phototherapy & systemic therapies

description: Background: For people with atopic dermatitis (AD) refractory to topical therapies, treatment with phototherapy and systemic therapies can be considered. Multiple biologic therapies and Janus kinase (JAK)inhibitors have been approved since 2014 to treat AD. These guidelines update the 2014 recommendations for management of AD with phototherapy and systemic therapies. 

Objective: To provide evidence-based recommendations on the use of phototherapy and systemic therapies for AD in adults.

Methods: A multidisciplinary workgroup conducted a systematic review and applied the GRADE approach for assessing the certainty of evidence and formulating and grading recommendations.
DOI: 10.17632/cnffzf3j4v.2
title: Gaps and recommendations for clinical management of truncal acne from the Personalising Acne: Consensus of Experts (supplementary information)

description: Supplementary information to: Tan J, et al. Gaps and recommendations for clinical management of truncal acne from the Personalising Acne: Consensus of Experts. Submitted to JAAD International 2021. • Full list of consensus statements reached with voting results • Literature search methodology and references retrieved
DOI: 10.17632/j33zk8wkd6.1
title: Impact of probiotics on cognition and constipation in the elderly: A meta-analysis

description: Mendeley supplementary information for "Impact of probiotics on cognition and constipation in the elderly: A meta-analysis"
DOI: 10.17632/v2jrv3s58c.4
title: Dataset for SEM and ANN analysis in cloud computing acceptance

description: This article includes an raw data for our research. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), this study is to identify the determinants of cloud computing adoption by using structural equation modeling (SEM) and an artificial neural network (ANN). The dataset consists of four hundred valid responses of general public in South Korea using cloud computing. The dataset has seven variables such as performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, habit and behavioral intention.
DOI: 10.17632/yfmbp363rp.1
title: Torque Forces on Soft Drinks PET Packaging

description: This data set contains the torque force values, in N.m, for five different models of soft drinks PET packaging (PET bottles). There are three age groups for both female and male subjects in two attempts of opening with each hand on the cap. The opening attempts were made only in counter-clockwise direction. The models were previously selected among several options by their morphological features and all of them are 2L capacity. A green paint was used inside the packaging, not affecting the friction between the packaging and the hands. To measure the torque forces, a static torque screwdriver/torque transducer (Mecmesin, UK) was coupled inside the packaging. That transducer was then connected to an Advanced Force Gauge (AFG 500, Mecmesin, UK). None of the subjects reported any CTD symptom up to 12 months prior to the activities.
DOI: 10.17632/28r5f3vmrp.2
title: Bangladeshi Venomous Snakes Image Dataset

description: The dataset of venomous Bangladeshi snakes, comprising images of Russell's Viper, King Cobra, and Common Krait, offers a valuable resource for developing an image processing-based deep learning algorithm. This algorithm can aid in the rapid identification of these snakes, enhancing both ecological preservation and public safety. The comprehensive methods and protocols described ensure that the data collection and processing are rigorous, enabling others to reproduce and build upon this research effectively.
DOI: 10.17632/h3kmhp6zk3.2
title: Descriptive Floater98 with Fix-MRP in Towing Tank

description: Dataset of descriptive catamaran floater 9.8 meters with Fix-Moment Reference Point in Towing Tank
DOI: 10.17632/m7tt68vwyr.1
title: Raw data-Validation of an electronic version of the Self-Awareness Questionnaire in English and Italian healthy samples

description: Research data
DOI: 10.17632/h9kzt7ktm7.3
title: Dataset from a Systematic Review with Network Meta-Analysis on Pre-oxygenation Techniques

description: This is a dataset from a systematic review on techniques for pre-oxygenation.
DOI: 10.17632/hfn6x2ct68.1
title: The path to life satisfaction

description: Data of 244 adolescents who completed surveys on hedonic and eudaemonic orientation, life satisfaction, and prioritizing meaning, as well as open-ended questions (in Hebrew) related to their experience of meaning in life
DOI: 10.15468/dl.e78pvn
title: Occurrence Download

description: A dataset containing 1423019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Israel, Palestine, State of)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 1898-2018"
 ]
}

 The dataset includes 1423019 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009309-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7ps3ghwzkk.1
title: Comparison of problem-solving skills in the traditional face-to-face classroom and online learning data of postgraduate courses in education management

description: The data set of the independent variables were traditional face-to-face classroom settings and online learning formats. The dependent variables were problem-solving skills, including self-confidence and critical and creative problem-solving. In total, 127 graduate students in the programme of education management participated in the dataset.
DOI: 10.17632/4jpzn5k6j4.1
title: Metagenomics

description: Metagenomic data of composting in different periods (days 0, 3, 8, 22, 50)
DOI: 10.17632/rydhs4ctsk.1
title: ChatGPT Adoption in Marketing

description: ChatGPT Adoption in Marketing: Exploring Drivers and Barriers through Behavioral Reasoning Theory
DOI: 10.17632/zt95dmh67y.1
title: HBM and Obesity Research
DOI: 10.17632/gh6w4c6nrx.2
title: Kiwi dataset Journal of Anatomy 2019

description: CT scan and Supplementary material associated with Abourachid, Castro, Provini (2019) How to walk carrying a huge egg? Trade-offs between locomotion and reproduction explain the special pelvis and leg anatomy in kiwi (Aves; Apteryx spp.), Journal of Anatomy doi: 10.1111/joa.13072