Straw from agriculture (barley, oats, oilseed rape, triticale) as raw material for loose-fill thermal insulation – raw and processed data
Authors/Creators
Description
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DATASET: Analysis of the Possible Use of Straw from Agriculture as an
Environmental Insulation Material in Buildings - Raw and Processed Data
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1. GENERAL INFORMATION
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Associated publication:
Peterková, J.; Korjenic, A.; Zach, J.; Bydžovský, J.; Halásová, S.;
Sesto, E. (2025). Analysis of the Possible Use of Straw from
Agriculture as an Environmental Insulation Material in Buildings.
Sustainability, 17(8), 3589.
DOI: https://doi.org/10.3390/su17083589
Associated projects:
Study of the hygroaccumulative effect of natural based materials
and their influence on the moisture stability of the indoor
environment of buildings
Austrian Science Fund (FWF) [https://doi.org/10.55776/I6398]
Grant DOI: 10.55776/I6398 | Project number: I 6398-N
Czech Science Foundation | Project number: 23-06542K
Project 8J23AT012: Study of heat and moisture transport in the
structure of materials based on natural and secondary fibers
Dataset authors:
Name Affiliation ORCID
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Jitka Peterková Brno University of Technology 0000-0002-5545-4515
Azra Korjenic TU Wien 0000-0002-2904-9532
Jiří Zach Brno University of Technology 0000-0002-0426-8317
Jiří Bydžovský Brno University of Technology -
Simona Halásová Brno University of Technology -
Eldira Sesto TU Wien -
Contact for questions about this dataset:
Jitka Peterková (Brno University of Technology): jitka.peterkova@vut.cz
License (data, documentation, metadata): CC BY 4.0 (Creative Commons Attribution 4.0 International)
https://creativecommons.org/licenses/by/4.0/
License (code in scripts/): MIT License (see scripts/LICENSE.txt)
2. SHORT DESCRIPTION
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This dataset contains the measurement data of a study on straw of four
crops (barley, oats, oilseed rape, triticale) as raw material for
loose-fill thermal insulation. The straw was pre-cut to about 3 cm and
pulped in a knife mill at seven combinations of grinding frequency
(2000-10,000 rpm) and grinding time (30-120 s). For every sample the loose
density and the particle size distribution (sieve analysis) were
determined; the mean particle size and the proportion of fine particles
were calculated. The samples pulped at 4000 rpm for 60 s were selected
for the thermal conductivity measurement (loose and compacted state).
The chemical composition of the four straws (moisture, ash, cellulose,
hemicellulose, lignin) is also included.
3. METHODOLOGY (summary - see publication Section 2 for full details)
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- Preparation: mechanical pulping in a FRITSCH Pulverisette 11 knife
mill (see metadata/straw_sample_overview.csv for the 28 samples).
- Chemical analysis: moisture with a drying balance; ash (Tappi T 211
om-02); cellulose (Kuerschner-Hoffer); hemicellulose (Wise); lignin
(Klason, Tappi T 222 om-11).
- Loose density: container filled to the rim, excess removed with a
steel ruler, three weighings per sample (EN 1097-3 as substitute).
- Sieve analysis: sieve column (31.5 / 16 / 8 / 4 / 2 / 1 / 0.5 / 0.2 /
0.125 mm and pan), shaking table for 1 min (EN 933-1 as substitute).
Mean particle size = sum of mesh size x residue fraction.
- Thermal conductivity: heat flow meter Lambda 2300 (EN 12667,
ISO 8301), mean temperature 10 degrees C, temperature difference 10 K,
samples conditioned at 23 degrees C / 50 % RH; 3 measurements of the loose
sample and 3 of the sample compacted in an XPS frame.
4. FILE DESCRIPTION
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Note: Due to repository constraints, all files are provided within
a single ZIP archive to preserve the folder
structure described below. The README itself is additionally
provided as a separate, unpacked file for quick reference.
A column-by-column description of all data files (names, meaning,
units) is given in metadata/data_dictionary.csv.
README.txt - this file
LICENSE.txt - full text of CC BY 4.0 (data, documentation, metadata)
metadata/
data_dictionary.csv - description and unit of every column of every data file
equipment_list.csv - details of experimental hardware used
known_data_anomalies_notes.txt - notes for interpretation (deviations from the publication, conventions)
materials_list.csv - the four straw types
requirements.txt - python environment dependencies
standards_applied.txt - overview of standards applied or referenced
straw_sample_overview.csv - the 28 samples with designation in the publication, grinding frequency and time (Table 3)
raw_data/
straw_characterization/
straw_chemical_composition.csv - moisture, ash, cellulose, hemicellulose and lignin content (Table 2)
straw_loose_density.csv - weights of the three replicates and container volume
straw_sieve_analysis.csv - sample mass and mass retained on each sieve
thermal_insulation/
straw_thermal_conductivity.csv - dimensions, weight and three conductivity measurements (loose and compacted)
processed_data/
loose_density.csv - loose density per sample (Table 4)
sieve_analysis.csv - residue and cumulative passing per sieve (Figures 7-10, A1-A6)
particle_size_summary.csv - mean particle size (Table 5) and passing at 2 mm / 1 mm (Table 6, Figures 11-13)
thermal_conductivity_summary.csv - density and mean thermal conductivity (Table 7, Figure 14)
paper_tables_summary.csv - values of the publication's tables with the file each value was calculated in
calculation/
calc_straw_loose_density.xlsx - mean weight and loose density (rho = m / V)
calc_straw_sieve_analysis.xlsx - residue, cumulative passing, mean particle size; sheet particle_size_summary
calc_straw_thermal_conductivity.xlsx - density and mean thermal conductivity
scripts/
LICENSE.txt - MIT License (code in this folder)
evaluation.ipynb - reads raw_data/, calculates all derived quantities, writes the CSV files in
processed_data/ and compares the results with the Excel workbooks
5. HOW TO CITE
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When reusing this dataset, please cite the associated publication:
Peterková, J. et al. (2025). Analysis of the Possible Use of Straw
from Agriculture as an Environmental Insulation Material in
Buildings. Sustainability, 17(8), 3589.
https://doi.org/10.3390/su17083589
6. FUNDING ACKNOWLEDGEMENT
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This research was funded within a bilateral research project between
the Czech Republic and Austria: Czech Science Foundation (23-06542K)
and Austrian Science Fund (FWF) [https://doi.org/10.55776/I6398],
and by project 8J23AT012.
7. DATA TO SCRIPT / CALCULATION MAPPING
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Run scripts/evaluation.ipynb from the folder scripts/ (relative paths,
python environment in metadata/requirements.txt). It needs only the
files in raw_data/ and metadata/straw_sample_overview.csv and writes all CSV files in
processed_data/ except the Excel workbooks in processed_data/calculation/, which contain the same
calculations as live formulas. The last cell of the notebook compares both.
Raw data (CSV in /raw_data/) Calculation workbook / result file (/processed_data/) Paper
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straw_chemical_composition.csv (reported directly) Table 2
straw_loose_density.csv calculation/calc_straw_loose_density.xlsx, Table 4, Fig. 6
loose_density.csv
straw_sieve_analysis.csv calculation/calc_straw_sieve_analysis.xlsx, Tables 5, 6,
sieve_analysis.csv, particle_size_summary.csv Figs. 7-13, A1-A6
straw_thermal_conductivity.csv calculation/calc_straw_thermal_conductivity.xlsx, Table 7, Fig. 14
thermal_conductivity_summary.csv
Table 1 (literature values), Table 3 (see metadata/straw_sample_overview.csv) and Figures 1-5
contain no further measurement data.
Files
I6398_Sustainability2025_StrawInsulation_data.zip
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Additional details
Related works
- Is supplement to
- Journal Article: 10.3390/su17083589 (DOI)
Funding
Dates
- Issued
- 2025-04Date of publication of the associated journal article