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  • The paper concerns about health equity issue during and after COVID-19 pandemic.
    Data Types:
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    • Document
  • Data regarding the perceived air pollution are collected by means of an online survey distributed between 11-05-2020 and 31-05-2020 in Australia, Brazil, China, Ghana, Italy, India, Iran, Norway, South Africa and the United States. The survey respondents are asked to evaluate the perceived air pollution quality before and during the COVID-19 restrictions according to a Likert scale varying from "1=extremely low/absent" to "7= extremely high". Overall, the data shows that an improvement in air quality is perceived by the respondents in all the ten investigated countries. The online survey has been created with Google Forms and WenJuanXing and conveniently translated into Chinese, English, Italian, Norwegian, Persian, Portuguese and has been distributed via email, social media and professional networks. Overall, the total number of respondents is approximately equal to 10 000.
    Data Types:
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  • Dataset of paper: Optimized sequential method assisting design and implementation of electro-pneumatic/hydraulic circuit
    Data Types:
    • Other
    • Software/Code
    • Image
    • Video
    • Dataset
  • This database contains images of defects in paved roads in Brazil. The database was developed using images provided by DNIT (National Department of Transport Infrastructure), through the Access to Information Law - Protocol 50650.003556 / 2017-28. The database contains: * 2235 images from highways in the states of Espirito Santo, Rio Grande do Sul and the Federal District, caught between 2014 and 2017; and * Each image has 3 masks - binary images in png format - separated for each type of annotation: road, crack and pothole. The annotation of the road consisted of demarcating the total region corresponding to the vehicle's road. The annotation of cracks and potholes consisted of the selection of the defect as a whole, maintaining its shape as much as possible.
    Data Types:
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    • File Set
  • Shortname: ETo-Brazil Longname: Gridded reference evapotranspiration for Brazil based on machine learning - 1-Day 0.1 degree x 0.1 degree DOI: 10.17632/sstjw74ryh.3 Version: 03 Format: TIFF Spatial Coverage: -74.0, -34.7, -33.8, 5.3 -- (xmin, xmax, ymin, ymax) Temporal Coverage: 2000-06-01 to 2019-12-31 File Size: ~0.3 MB per file Coordinate Reference System: WGS 84 - Geodetic coordinate system for World (EPSG: 4326) Data Resolution Spatial: 0.1° x 0.1° (rougly ~10 x 10 km) Temporal: 1-Day Highlights: - The grid cells of the ETo-Brazil matches the grid cells from the Global Precipitation Measurement data (position and resolution). - The overall root mean square error (RMSE) of this dataset (using weather stations as observed data) is 0.60 mm/day. This is an improvement on earlier attempts to map ETo using interpolation and geostatistics. ** ALWAYS CHECK FOR NEWEST VERSION ** History: - V3 (2020-07-12): - Fixed a small problem with the covariates projection. This fixed grid cells positioning and lead to an improvement in performance: RMSE reduced from 0.65 to 0.60 mm/day; - Extended the temporal coverage up to 2019-12-31; - V2 (2020-05-21): Masked files for Brazil boundaries only. Reduced file size in ~40%. - V1 (2020-03-20): First published
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  • Sequence alignments of genes linked to major metabolisms in the centric diatom, Thalassiosira sundarbana
    Data Types:
    • Software/Code
    • Sequencing Data
    • Dataset
  • The geographic data sources were the digital elevation model (DEM) with the resolution of 10 m, land use with the resolution of 10 m, catchment boundary and drainage network, which were gathered for subcatchment subdivision for urban stormwater model development.
    Data Types:
    • Software/Code
    • Geospatial Data
    • Image
    • Dataset
    • Document
    • File Set
  • The present dataset includes data and figures related to the submitted paper " Modeling and pseudo-inversion of transient multicomponent electromagnetic logging while drilling measurements " currently under review in Journal of Petroleum Science & Engineering.
    Data Types:
    • Software/Code
    • Image
    • Dataset
  • The present dataset includes data and figures related to the submitted paper " Detection of formation boundary using transient multicomponent electromagnetic logging while drilling method " currently under review in Journal of Petroleum Science and Engineering.
    Data Types:
    • Software/Code
    • Image
    • Dataset
  • Bio-layer interferometry (BLI) traces (response vs. time), chromatin immunoprecipitation with qPCR (ChIP-qPCR) data, Bacterial one-hybrid (B1H-seq) fitness data, Bacterial one-hybrid plate-streak assays data (uncropped images), Curves+ data for DNA grooves widths/twist angle/roll angle, PDB validation reports.
    Data Types:
    • Other
    • Image
    • Sequencing Data
    • Tabular Data
    • Dataset
    • Document