cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/73zd45pg3p.1
title: THE EFFECT OF STRATEGIC ORIENTATION ON INNOVATIVE PERFORMANCE: THE MEDIATING ROLE OF OPEN INNOVATION AND FINANCIAL MANAGEMENT PRACTICE, A STUDY OF SMALL AND MEDIUM-SIZED ENTERPRISES IN ETHIOPIA

description: The focus of this study was to analyze empirically the mediating role of open innovation and financial management practice on the relationship between a SME’s strategic orientation and innovative performance. To test the posited hypotheses, a cross-sectional field survey quantitative approach was used. Based on the empirical data of 364 SMEs operating in study area, the study was employed structural equation modeling (SEM) to analyze the data and research hypotheses in the proposed structural regression model. The SEM analysis revealed that the higher-level strategic orientation of small and medium enterprise is the higher innovative performance. Finally, the results indicated that open innovation and financial management practice mediated the path between strategic orientation and innovative performance. Moreover, the study indicated that strategic orientation create value through open innovation, integration and efficient utilization of resources thus have an indirect impact on SMEs innovative performance.
DOI: 10.17632/wpz4ttmysj.1
title: Data for: An assessment of the socioeconomic externalities of hydropower plants in Brazil

description: .cvs files
DOI: 10.17632/r7774rwc7v.1
title: Data for: A Realistic and Public Dataset with Rare Undesirable Real Events in Oil Wells

description: This is the first realistic and public dataset with rare undesirable real events in oil wells as far as the authors of this work know. It can be used in development of several kinds of techniques and methods for different tasks associated with undesirable events in oil and gas wells.
DOI: 10.17632/rfnp2d3kjp.1
title: Dataset on Hourly Load Profiles for a Set of 24 Facilities from Industrial, Commercial, and Residential End-use Sectors

description: This dataset contains the hourly load profiles over a year (8760 hours data) for a set of 24 representative facilities from various end-use sectors, including industrial, commercial, and residential consumers. The dataset includes six reference buildings adopted from EnergyPlus reference buildings, which are publically available and has been cited here (see the references section in this dataset), and eighteen simulated buildings adapted to the state of New Jersey, U.S., climate zone by employing our physics-based building simulator, which is an EnergyPlus-based tool capable of capturing the buildings functionalities. This dataset can be used to model both single and multi-nodes energy systems such as nanogrids, microgrids, or any integrated systems in the distribution networks where each building is defined by its load profile reflecting its electricity consumption behavior. In fact, this dataset aids researchers and practitioners from all over the world to model their defined/modified test systems which enable them to conduct a broad range of studies addressing various engineering, economic, and environmental analyses.
DOI: 10.17632/7zf99hxxc9.1
title: Task-irrelevant affective prosody perception by children with high autistic traits under attentional loads: electroencephalographic and behavioural data

description: Impaired social-emotional reciprocity and verbal communication characterise Autism Spectrum Disorder (ASD). This dataset provides electroencephalographic (EEG) signals related to implicit emotional speech perception under low, intermediate, and high attentional demands. Demographic and behavioural data are also provided. Thirty-one children with high autistic traits (mean age: 10-year-old, SD: 1, 2 girls) and their parents or legal guardians participated in data collection. Assessments of autistic behaviours severity using the Autism Spectrum Rating Scales (ASRS, parent report) are provided. During the experiment, children listened to task-irrelevant affective prosodies while answering three visual tasks: neutral image viewing (low attentional load), one-target 4-disc Multiple Object Tracking (MOT; intermediate), one-target 8-disc MOT (high). EEG data recorded during all three tasks and tracking capacity (behavioural data) from MOT conditions are included in the dataset. Beforehand, children answered the Edinburgh Handedness Inventory, and resting-state EEG activity of children was recorded for 2 minutes with eyes open. Those data are also provided. The present dataset can be used to investigate the electrophysiological correlates of implicit emotion and speech perceptions and their interaction with attentional load and autistic traits severity. Besides, resting-state EEG data may be useful for a clinical characterisation of the autistic condition at rest. Finally, behavioural MOT data can be analysed to assess dynamic and selective attentional functions in children with high-autistic traits. 

Keywords
Electroencephalography, Multiple-Object Tracking, Selective Attention, Dynamic Attention, Autism Spectrum Disorder, Emotion Processing, Prosody
DOI: 10.17632/5mwtm4d25g.1
title: The role of habits in investing behaviors

description: Contains the data for variables AGE,GENDER,MARITAL_STATUS,GROSS_ANNUAL_INCOME,EDUCATION,OCCUPATION,CASH,EQUITY,	INSURANCE,FIXED_DEPOSIT,GOLD,MUTUAL_FUNDS,BEH,RP1,RP2,RP3,RA1,RA2,RA3,FQPB,PBC1,PBC2,PBC3,PBC4,GOAL,BI1,BI2. Note MUTUAL_FUNDS and BEH are the same, BEH is reverse coded, GOAL - is a concatentation of
3 goals given by 1 to 8 numbers. There are 423 records, no data is missing.
DOI: 10.17632/2xx4j3kjg2.1
title: Detection of Anemia using Colour of the Fingernails Image Datasets from Ghana

description: Anemia is a global public health issue that mostly emerges as a result of a decrease in red blood cell count and is particularly prevalent in Africa. Invasive ways of detecting anemia are expensive and time-consuming. Anemia may, however, be diagnosed using non-invasive technologies such as machine learning algorithms. In our study, we compared machine learning models to detect anemia using the colour of the fingernail. The main dataset consisting of fingernails was developed using Ghana as a case study for dataset collecting.
All photographs were taken by the laboratory personnel, and the Hb Values of patients, age, sex, and a remark (anemic or non-anemic) based on the Hb Value taken were uploaded by technicians or medical laboratory officers using standard high-quality cameras with a minimum of 12MP. The lab officers hold the tip of the fingers and wrist to expose the palm because the participants are minors and cannot completely extend the palm to the expectancy.
Furthermore, to minimize exaggerated shine effects caused by the picture quality, which greatly impacts detection or classification by the models, the cameras' spotlights were turned off when the photos were photographed. This approach is an excellent way to eliminate the impact of ambient light on photos in datasets. 
The datasets were collected from the undermentioned hospitals located in Ghana; Komfo Anokye Teaching Hospital at Kumasi, Bolgatanga Regional Hospital at Bolgatanga, Kintampo Municipal Hospital at Kintampo, Ahmadiyya Muslim Hospital at Techiman, Sunyani Municipal Hospital at Sunyani, Manhyia District Hospital at Kumasi, Ejusu Government Hospital at Ejusu, SDA Hospital at Sunyani, Nkawie-Toase Government Hospital at Nkawie-Toase and Holy Family Hospital at Berekum.  
The dataset for this study focuses on young children aged five and below.  Laboratory technicians take a blood sample from suspected anemic patients  to measure the Hb values of the patients, and images of the fingernails are taken afterwards, and a remark is given based on the Hb value of the patient either anemic or non-anemic. 
The threshold triangle approach was used to extract the ROI of the pictures of the fingernails; that is, ROI differentiation for binary after the background was generated was inferred in the dataset collecting procedure. As the Region of Interest is produced from the counter of the photos, which is the colour of the fingernails.
In the procedure of augmenting the images to expand the size of the original datasets, from 710 images (426 are anemic images while 284 are non-anemic images) to 4260 datasets after the image augmentation of because of the augmentation, all photos were labelled "anemic" and "non-anemic," with a number matching to each.
The reason that all participants are under the age of six, images of their fingernails may be tiny, as compared to that of adults’ images of the fingernails.
DOI: 10.17632/j7sg3z3tf4.2
title: Community sport survey data interpreted with Gaussian copula graphical models

description: CSV file with survey responses applied to demonstrate the raw and partial correlations between participant responses in relation to community sport policy in Australia
DOI: 10.17632/hr2ftv6gcn.1
title: Lithium-ion battery impedance data set

description: The experimental impedance data were collected in cell potentials as 3.2V, 3.4V, 3.6V, 3.8V, 4.0V, and 4.2V (corresponding state of charge values: 0%, 3%, 8%, 40%, 78%, 100%).

ML-regenerated-impedance-data.txt:  Impedance data generated by a Machine Learning model. For more information,  see this article:  "Regeneration of Lithium-ion battery impedance using a novel machine learning framework and minimal empirical data".
DOI: 10.17632/6mwgj7tms3.2
title: weaving_data

description: The raw data is collected from a weaving industry of Bangladesh and then preprocessed to get final dataset. The prepared dataset can be used in machine learning, data science and statistical analysis. Here, the dependents variables may be the rejection or production depending on the intend of use.
DOI: 10.17632/c6rwfjj5bt.2
title: Data on the financial performance of companies on BIST Sustainability 25 Index: An Entropy-based TOPSIS approach

description: In this data article, the Entropy-based TOPSIS technique is employed to assess the cash flow-based financial performance of companies. The study encompasses data from companies listed on the Borsa Istanbul (İstanbul Stock Exchange) and included in the BIST Sustainability 25 index between 2018 and 2022. The performance metrics considered in the dataset are grouped into categories including liquidity, operational efficiency, financial structure, and profitability ratios. The dataset is derived from company balance sheets, income statements, and cash flow statements.
DOI: 10.17632/j7sg3z3tf4.3
title: Community sport survey data interpreted with Gaussian copula graphical models

description: CSV file with survey responses applied to demonstrate the raw and partial correlations between participant responses in relation to community sport policy in Australia
DOI: 10.17632/tjdmp6ny4d.1
title: Supplementary Data and Code

description: Data and Code for "The Governance of Director Compensation"
DOI: 10.17632/3tmf9ppbvy.1
title: Dataset: Consumer Knowledge, Non-Functional Cues, & Consumer Purchase Decision Towards Islamic Financial Services (N = 415)

description: The data have been collected from the customers of five full-fledged Islamic banks, providing Islamic financial services in Pakistan. The measurement constructs of this dataset (N=415) were non-functional cues, consumers’ purchase decisions, and consumer knowledge. This dataset was categorized into four parts. The first part was formulated to measure the influence of non-functional cues that were based on the following four constructs: • Country of origin • Brand name • Advertising • Price The second part was framed to measure the consumer purchase decision process towards Islamic financial services, and the third part was formulated to assess consumer knowledge towards Islamic financial services that was constructed on the following three constructs: • Objective Knowledge • Subjective Knowledge • Familiarity The last part was added to collect the demographics of customers. By applying the Likert Scale, the respondents were indicated the extent to which statements were agreeable on a scale from 1= strongly disagree to 5= strongly agree.
DOI: 10.17632/45chmtxcw8.1
title: Worker Reallocation, Firm Innovation, and Chinese Import Competition

description: Replication files of “Worker Reallocation, Firm Innovation, and Chinese Import Competition” by Grace Gu, Samreen Malik, Dario Pozzoli and Vera Rocha
DOI: 10.17632/jxhsg8tj7g.3
title: SARBake Overlays for the MSTAR Dataset

description: SARBake is an algorithm described in my first article "Convolutional Neural Networks for SAR Image Segmentation" co-authored by Morten Nobel-Jørgensen. The algorithm converts 3D CAD models of objects in to a label mask given the specific details about SAR viewing angles. The mask defines for every pixel whether the radar wave illuminated the object, the background or was in shadow. A good segmentation of a SAR image is very relevant as it simplifies image information. For example can object height above ground be estimated from the length of an objects shadow. An annotated image also enables the possibility of using Supervised Machine Learning techniques to create a segmentation mask automatically. If used in scientific publications we kindly ask for a citation of our article, @article{cnnforsegmentation, author = {David Malmgren-Hansen and Morten Nobel-Jørgensen}, title = {Convolutional Neural Networks for SAR Image Segmentation}, journal = {IEEE International Symposium on Signal Processing and Information Technology}, year = 2015 }
DOI: 10.17632/gtjst7v5ft.1
title: Daytime and Nighttime LST Trends in the Pacific Northwest Using a Space-Time Cube across Diverse Climate Types

description: This study analyzes Land Surface Temperature (LST) trends across 13 distinct climate types in the Pacific Northwest region of North America, using MODIS LST data validated with weather station observations. Weather station data were obtained from the Global Historical Climatology Network (GHCN) of NOAA’s National Climatic Data Center (https://www.ncei.noaa.gov) and include daily maximum and minimum air temperature records spanning 2002 to 2023. Additionally, monthly daytime and nighttime LST data were derived from MODIS products (MOD21C3) onboard the Terra satellite for the same period (2002–2023) and accessed through the Google Earth Engine data catalog (https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C3).
DOI: 10.17632/wbn2v95ds8.1
title: Cortese el al_Lancet Psyc 2018_OPEN DATA
DOI: 10.17632/sghd8vbvbp.2
title: Dataset for Bitcoin arbitrage in different cryptocurrency exchanges

description: We present a high-frequency dataset of algorithmic trading. Given that, the dataset contains different time intervals depending on the timestamp when an arbitrage opportunity occurred. Our dataset has 9,799,130 tick-level records of the Bitcoin-to-Euro exchange rate starting from 2019-01-01 00:00:31 until 2020-03-30 23:59:48. Data covered information about different cryptocurrency pairs from 18 cryptocurrency exchanges. These pairs contained information about exchanges in which it was possible to buy and sell simultaneously. Each row presented the amount of arbitrage that it was possible to earn if a transaction would have been executed. The dataset contains information about the amount of arbitrage that could be earned after executing a transaction in given cryptocurrency exchanges, the quantity which had to be bought to earn arbitrage, the best sell, and the best buy prices, the balance of fiat currency in “Exchange 1” and the balance of cryptocurrency in “Exchange 2”. If there was enough fiat currency in “Exchange 1” and enough cryptocurrency in “Exchange 2” it means that the transaction was successfully executed and given arbitrage amount was earned. This information could be used by investors to discover potential earning capabilities, and create effective arbitrage trading strategies. Moreover, this dataset could serve academics for deeper analysis of efficiency and liquidity questions as well as it could be used to spot and evaluate risks in the market, identify patterns in the market.

Short description of the dataset:
ID - Unique ID
arb_timestamp - timestamp of arbitrage opportunity 
arb_exch1 - presents exchanges where one was able to successfully buy Bitcoin
arb_exch2 - presents exchanges where one was able to successfully sell Bitcoin
arb_ticker - BTCEUR exchange rate
arb_prc - percentage earned compared to the invested amount 
arb_amount - the amount of arbitrage that would be earned if a transaction had been executed 
arb_quantity - Bitcoin quantity that needed to be bought in order to execute a transaction and to earn arbitrage
best_sell_price - best price at which it was possible to sell Bitcoin in "Exchange 2"
best_buy_price -  best price at which it was possible to buy Bitcoin in "Exchange 1"
balance_fiat - the amount of Euros available in “Exchange 1”
balance_crypto - the amount of Bitcoin available in “Exchange 2”
DOI: 10.17632/34szj3jm6k.1
title: Supplementary data for CSAF paper

description: CSAF_M1.focmec_pub: focal mechanisms of M>=1 focal mechanisms around the CSAF solved using REFOC algorithm
rep_all.focmec_pub: focal mechanisms of repeating earthquake sequences around the CSAF solved using HASH algorithm

1 year
2 month
3 day
4 hour
5 minute
6 second
7 event ID
8 latitude
9 longitude
10 depth
11 magnitude
12 strike
13 dip
14 rake
15 1st nodal plane uncertainty
16 2nd nodal plane uncertainty
17 number of polarities
18 polarity misfit
19 number of S/P amplitude ratio
20 average log10(S/P) amplitude ratio misfit
21 focal mechanism quality
22 probability of solution close to real solution
23 azimuth gap
24 take-off angle gap
25 station distribution ratio (STDR)
DOI: 10.17632/4mvgvtxc8s.1
title: Student Dataset

description: The Student Data Set contains 9000 records of students and eight attributes.
This dataset is a random mock dataset generated with the help of Python libraries. 
The dataset is freely available for research purposes and for building and training AI and ML models. 
This dataset will only be used for the purpose of academic research.
DOI: 10.17632/t8jb5fz72j.1
title: Data from Systematic review of the evidence for treating initial caries lesion in primary teeth

description: Research question: To identify the best available approach for arresting initial caries lesions in primary teeth by network meta-analysis. Resin infiltration is the most effective approach for arresting/controlling initial caries lesions in primary teeth regardless of the surface involved. However, the results are based on the rank probability (mixed evidence) with low or moderate quality of evidence.
DOI: 10.17632/9j72p9yswp.1
title: Data for: Toward a holistic view on Lean sustainable construction: a literature review

description: Systematic literature review on Lean sustainable construction
DOI: 10.17632/gx9mbxvnf2.1
title: Raman, ATR-FTIR, WAXD, SAXS, DSC data of PET monofilaments and PET/PA6 bicomponent filaments

description: Structural data was obtained from monocomponent melt-spun and offline drawn poly(ethylene terephthalate) (PET) monofilaments and melt-spun bicomponent core-sheath PET-polyamide 6 (PET-PA6) fibers. The data comprises: Raman maps of filament cross-sections, attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) spectra, wide-angle x-ray diffraction (WAXD) patterns and azimuthal- and radial profiles, small-angle x-ray scattering (SAXS) patterns, differential scanning calorimetry (DSC) curves and an atomic force microscopy (AFM) image of an embedded fiber cross-section.
DOI: 10.17632/z2twsxv2ty.1
title: Preclampsia definition and diagnosis

description: Mapping CPG on preeclampsia definitions and diagnosis
DOI: 10.17632/2dytmtksnc.1
title: Raw Data of Magnetic Test for Variation of Microcarbonyl iron of Loading Natural Rubber Nanocomposites

description: The performance of magnetic rubber device is dependent on mechanical and magnetic properties of composite rubber materials. A vibrating sample magnetometer (VSM) is an instrument to detect the magnetic properties. 
The magnetic field versus magnetization was carried out to study the magnetic characteristics of the nanocomposite samples. VSM Lakeshore 7404 Series was used to analysis the magnetic properties of nanocomposite material. In the present study, the samples were tested under two (2) variations; i) containing the same amount of magnetic fillers, which is about 30 pphr in the composites but vary in nanocarbon loading i.e. 0%, 1%, 3% and 5% and ii) samples containing the same amount of 1 pphr nanocarbon fillers, in the composites with different loading of microcarbonyl iron (MCI). the increasing of magnetic properties of the samples is not consistent with the increasing of nanocarbon loading as A1 has a higher magnetization value than A5, which is really contrast with the previous work (Zaborski et al., 2009). This phenomenon occurred because of the fillers are well dispersed in the compound A1. Zaborski et al. (2009) found that the magnetization retentively increase with higher filler content of iron oxides. It has been found that in general, the addition of iron nanoparticles enhances the MRE mechanical and magnetic properties. In fact, the addition of iron nanoparticles as a filler in the hard matrix along with 24% of dispersant agent has proved to create the composite material that exhibits the best properties.
DOI: 10.17632/nj7956xtbm.1
title: 3-D Deformation Inversion for Dem glacier

description: This data is the ascending and descending results obtained by processing Sentinel 1 data based on POT-SBAS technology to invert three-dimensional glacier flow velocity. Toolbox see https://github.com/arvin1367/3-D-Deformation-Inversion
DOI: 10.17632/sh9kd7vdm7.1
title: Country risk premium for MNC

description: Multinational companies operate on several markets. But nobody knows which approach for shares' return estimation should be chosen be investors. The key question is: does country risk premium matter in shares' return calculation or not? The data which contains in this dataset, relates to 70 companies, 41 ones are incorporated in developed countries, 29 ones - in developing countries. The sample is representative as we include all major economic sectors like oil and gas, metal and mining, services, manufacture, electronics etc. (analysis carried out by sectors was included at the end of the dataset) and a long period of time (2010-2019). The data was get from different sources: daily shares' and indexes' prices were taken from open sources (Yahoo finance, Investing), country risk premium was taken from Aswath Damodaran's web-site, weights for country risk premium estimation were determined based on data on each company's revenue / fixed assets structure which were taken form each company's annual report (2018-2019). The key hypothesis for this research was: In some cases it is necessary to adjust the estimation of multinational company's cost of equity for country risk in order to get more accurate result. The research showed that contrary to expectations, use of more complicated models does not make the outcome of calculations much more accurate. The exception are developing markets: when an investor intends to invest money in shares of a multinational company which is incorporated in developing countries, he should use more complicated approaches which take into account weighted country risk premium as they help to get more accurate outcomes. All the calculations are included in this dataset.
DOI: 10.17632/n7ntwwrtn5.1
title: Cybersecurity News Article Dataset

description: This dataset contains cyber security news articles from 'The Hacker News'. The total number of collected news articles is 3742. The dataset was created with the goal of creating a classification model that can read a news article about a hacking incident and decide which type of attack it belongs to. With the aid of specialists and consensus, the news categories are labeled with distinct types of cyber threats.
DOI: 10.17632/vzsbtt7hjx.1
title: Globalization, Tourism, Energy, and Education on Load Capacity Factors Data for Indo-Pacific Area

description: Globalization, Tourism, Energy, and Education on Load Capacity Factors Data for Indo-Pacific Area, 1991-2022