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  • The data consist of an application, namely PyFEST, written in Python language, and a file with instructions to install and use the application. It can be used to estimate the frequencies of short-time signals with high accuracy. Along with the application, examples with generated signal (single-ton, multi-tone, noisy, damped etc.) and measured signals are delivered for testing purposes. The frequencies of the harmonic components are evaluated one-by-one with high accuracy. Because the actions performed do not imply previous expertise, the results are not influenced by human intervention.
    Data Types:
    • Other
    • Software/Code
    • Tabular Data
    • Dataset
    • Text
  • Crop residue data collected from two rural and urban market from Niger.
    Data Types:
    • Tabular Data
    • Dataset
  • This a data about the corona virus COVID-19. It contains the actual reported data. Also, it includes the predicted COVID-19 data in the future based on a model developed to predict in the future. The model used will be published in one of the journals later and will be found on my profile with title "Optimistic Prediction Model For the COVID-19 Coronavirus Pandemic based on the Reported Data Analysis". The daily folder contains the daily data. The predicted folder contains the predicted data for each country. The total cases folder contains the total cases for each country. he section folder contains a latex code for plotting the figures for each country. Also the source file from European Centre for Disease Prevention and Control is included. More updated files available in the website of European Centre for Disease Prevention and Control.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
    • Text
  • The dataset of the manuscript, namely "Protocol for the development process of ANN models and its application to water quality variables prediction in water resource and environmental engineering".
    Data Types:
    • Image
    • Tabular Data
    • Dataset
  • SWHC004
    Data Types:
    • Image
    • Tabular Data
    • Dataset
  • This dataset presents the hiking and climbing opportunities diversity existent at Serra dos Órgãos National Park, Brazil, collected using participatory mapping approaches (Voluntary Geographic Information, Public Participation in Geographic Information Systems and secondary sources). Each trail on the park’s network was classified according to trail management categories. The dataset includes two files: the excel inventory and the KMZ. Data in Portuguese.
    Data Types:
    • Geospatial Data
    • Tabular Data
    • Dataset
  • This data presents MATLAB scripts and data in order to reproduce the figures and videos obtained for the article "Crystallization and jamming in narrow fluidized beds"
    Data Types:
    • Software/Code
    • Video
    • Tabular Data
    • Dataset
    • File Set
  • Alberta’s oil sands (bitumen) extraction critically affects Canada’s ability to meet its commitment to the Paris Climate Change Agreement. However, few studies have published the actual operation data for extraction operations (schemes), especially fuel consumption data. In this study, we applied data mining techniques to Petrinex – a publicly available data warehouse for the oil and gas industry in Canada and extracted actual operating data for 20 schemes from over 35 million monthly records for the period of 2015 to 2019. The average of fuel gas (mainly natural gas) use was 0.29 103m3/m3 bitumen. The schemes with Steam Assisted Gravity Drainage (SAGD) used 0.27 103m3 fuel to produce 1 m3 bitumen. The schemes with Cyclic Steam Stimulation (CSS) used 0.44 103m3 fuel to produce 1 m3 bitumen. The weighted average of emission intensity (EI) was 0.44 t CO2e/m3 undiluted bitumen (70 kg CO2e/bbl). The weighted average EI for SAGD was 0.39 t CO2e/m3 (62 kg CO2e/bbl), and the weighted average EI for CSS was 0.65 t CO2e/m3 (103 kg CO2e/bbl). We also used two unsupervised machine learning methods for knowledge discovery: clustering and association rule. The clustering implied that the CSS method was less efficient than the SAGD recovery method based on energy use and steam to oil ratio (SOR). The clustering also indicated that the production region did not affect interactions between steam and bitumen. The association rule suggested that the occurrence of gas co-injection implied the occurrence of low SOR, {Gas | Co-injection} {Low | SOR} (support:19%, confidence:93%, lift:1.9). Finally, we analyzed the carbon cost. Using the GHG emission limit set by Alberta carbon regulation, the average carbon cost accounted for 2% ($ t CO2e/ $ m3 undiluted bitumen) and $8/m3 (US $1.3/bbl) of undiluted bitumen price when the carbon price was CAD $30/t CO2e and undiluted bitumen price was $326/m3 (US $39/bbl).
    Data Types:
    • Tabular Data
    • Dataset
  • Demographics, clinical characteristics at hospital consultation, treatment, and outcomes of 51 HIV-infected individuals with COVID-19 assisted at a university hospital in Madrid, Spain.
    Data Types:
    • Tabular Data
    • Dataset
  • Data used for caculation of deaths in Sweden caused but the corona epidemic, either directly or caused by the consequencies of lock-down of society
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset