Spatial distribution of CO2, O2, CO, NO and temperature within a biowaste composting pile - Open Research Data - Bridge of Knowledge

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Spatial distribution of CO2, O2, CO, NO and temperature within a biowaste composting pile

Description

The dataset contains the color-coded isophlets illustrating the spatial distribution of gas concentrations (CO, CO2, O2 and NO) and the temperature in biowaste composting pile during 6 weeks of process. Four cross sections and two longitudinal cross sections (the left and right sides of the pile) were made using Surfer 10 software (Golden Software, Cracow, Poland).

A small subset (16 cross sections) illustrates the chimney effect in the pile and the temperature effect on CO distribution is presented in the manuscript: https://doi.org/10.3390/su11082340.

Illustration of the publication

The dataset contains 6 folders - one for each week of composting process (called: "1 tydzień", "2 tydzień", "3 tydzień", "4 tydzień", "5 tydzień" and "6 tydzień").

In each folder there are 5 graphic files in the .png extension with a resolution of 300 dpi, named: "CO" (spatial distribution of carbon monoxide), "CO2" (spatial distribution of carbon dioxide, example on the left), "NO" (spatial distribution of nitric oxide), "temp" (spatial distribution of temperature) and "tlen" (spatial distribution of oxygen).

For each of the views in the upper left corner there is a label with measurement point (left/right side of the pile or number of the cross-section). The scale with the unit (concentration in % or ppm, temperature in°C) is placed next to the label.

Dataset file

Spatial distribution.zip
2.0 MB, S3 ETag 1215058407a443a92e184a72591ee075-1, downloads: 16
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file Spatial distribution.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2019
Verification date:
2022-10-18
Dataset language:
Polish
Fields of science:
  • environmental engineering, mining and energy (Engineering and Technology)
DOI:
DOI ID 10.34808/j6x8-jt17 open in new tab
Verified by:
No verification

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