Climate Change/Environmental

The dataset aims to facilitate research in the optimization of the carbon footprint of recipes. Consisting of 30 Excel files processed through various Python scripts and Jupyter notebooks, the dataset serves as a versatile resource for both performance analysis and environmental impact assessment. The unique attribute of this dataset lies in its ability to calculate representative values of carbon footprint optimization through multiple algorithmic implementations.

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We used  Sentinel-2 images to create the dataset In order to estimate sequestered carbon in the above-ground forest Biomass.  Moreover, fieldwork was completed to gather related forest biomass volume. The clipped image has a size of 1115 × 955 pixels and consists of bands 3, 4, and 8, which correspond to green, red, and near-infrared.

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675 Views
The Environmental Drones (E-drones) are programmed autonomous drones used for pollution monitoring (CH4, CO2, CO, O3, P.M.2.5, P.M.10, NO2, NH3, AND SO2), detection and abatement at altitudes above ground level in a specific geographic region.
 
Environmental Drones produce Air Quality Index (AQI) maps of covered regions for environmental data monitoring and long-term analysis.
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373 Views

The dataset contains fitted three-pole Debye dielectric model parameters of 567 soil spectra. Three soils of loamy sand, sandy loam, and silt loam textures were tested. Of each soil, 20 samples of various water contents were prepared with the use of distilled water and potassium chloride solutions, 5 samples for each liquid. Air-dry samples were also prepared. Dielectric spectra were obtained with the use of a six-channel coaxial-transmission-line cell system at 9 controlled temperature steps from 0.5 to 40°C in the 0.02 – 3 GHz frequency range.

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151 Views

Photo identification (photoID) is a non-invasive technique devoted to the identification of individual animals using photos, and it is based on the hypothesis that each specimen has unique features useful for its recognition. This technique is particularly suitable to study highly mobile and hard to detect marine species, such as cetaceans. These animals play a key role in marine biodiversity conservation because they maintain the stability and health of marine ecosystems due to their apical role as top predators in food webs.

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706 Views

This dataset contains supporting information regarding the LCA modeling carried out in the scientific paper "Technical and Ecological Limits of 2.45-GHz Wireless Power Transfer for Battery-Less Sensors".

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261 Views

Access to clean drinking water is crucial for health, a fundamental human right, and a component of successful health protection policies. On a national, regional, and local level, this is significant as a health and development issue. Investments in water supply and sanitation have been shown to produce a net economic benefit in some areas because they reduce negative health effects and medical expenses more than they cost to implement.

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24659 Views

CAMP version used for the measurements of the GPU Linear solver Biconjugate Gradient, and the Block-cells strategy. Latest developments at https://github.com/open-atmos/camp

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77 Views

The Paddy Doctor dataset contains 16,225 labeled paddy leaf images across 13 classes (12 different paddy diseases and healthy leaves). It is the largest expert-annotated visual image dataset to experiment with and benchmark computer vision algorithms. The paddy leaf images were collected from real paddy fields using a high-resolution (1,080 x 1,440 pixels) smartphone camera. The collected images were carefully cleaned and annotated with the help of an agronomist.

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8042 Views

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