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l33_f1_cluster_24_Ant1_p10_site0000.png
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l33_f1_cluster_24_Ant1_p10_site0028.png
l33_f1_cluster_24_Ant1_p10_site0036.png
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l33_f1_cluster_24_Ant1_p10_site0055.png
l33_f1_cluster_24_Ant1_p10_site0066.png
l33_f1_cluster_24_Ant1_p10_site0078.png
l33_f1_cluster_24_Ant1_p10_site0091.png
l33_f1_cluster_24_Ant1_p10_site0105.png
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l33_f1_cluster_24_Ant1_p10_site0153.png
l33_f1_cluster_24_Ant1_p10_site0171.png
l33_f1_cluster_24_Ant1_p10_site0190.png
l33_f1_cluster_24_Ant1_p50_site0000.png
l33_f1_cluster_24_Ant1_p50_site0021.png
l33_f1_cluster_24_Ant1_p50_site0043.png
l33_f1_cluster_24_Ant1_p50_site0066.png
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l33_f1_cluster_24_Ant1_p50_site0115.png
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l33_f1_cluster_24_Ant1_pdef_site0000.png
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l33_f1_cluster_24_Ant2_p10_site0000.png
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l33_f1_cluster_24_Ant2_p10_site0006.png
l33_f1_cluster_24_Ant2_p10_site0010.png
l33_f1_cluster_24_Ant2_p10_site0015.png
l33_f1_cluster_24_Ant2_p10_site0021.png
l33_f1_cluster_24_Ant2_p10_site0028.png
l33_f1_cluster_24_Ant2_p10_site0036.png
l33_f1_cluster_24_Ant2_p10_site0045.png
l33_f1_cluster_24_Ant2_p10_site0055.png
l33_f1_cluster_24_Ant2_p10_site0066.png
l33_f1_cluster_24_Ant2_p10_site0078.png
l33_f1_cluster_24_Ant2_p10_site0091.png
l33_f1_cluster_24_Ant2_p10_site0105.png
l33_f1_cluster_24_Ant2_p10_site0120.png
l33_f1_cluster_24_Ant2_p10_site0136.png
l33_f1_cluster_24_Ant2_p10_site0153.png
l33_f1_cluster_24_Ant2_p10_site0171.png
l33_f1_cluster_24_Ant2_p10_site0190.png
l33_f1_cluster_24_Ant2_p50_site0000.png
l33_f1_cluster_24_Ant2_p50_site0021.png
l33_f1_cluster_24_Ant2_p50_site0043.png
l33_f1_cluster_24_Ant2_p50_site0066.png
l33_f1_cluster_24_Ant2_p50_site0090.png
l33_f1_cluster_24_Ant2_p50_site0115.png
l33_f1_cluster_24_Ant2_p50_site0141.png
l33_f1_cluster_24_Ant2_p50_site0168.png
l33_f1_cluster_24_Ant2_p50_site0196.png
l33_f1_cluster_24_Ant2_p50_site0225.png
l33_f1_cluster_24_Ant2_p50_site0255.png
l33_f1_cluster_24_Ant2_p50_site0286.png
l33_f1_cluster_24_Ant2_p50_site0318.png
l33_f1_cluster_24_Ant2_p50_site0351.png
l33_f1_cluster_24_Ant2_p50_site0385.png
l33_f1_cluster_24_Ant2_p50_site0420.png
l33_f1_cluster_24_Ant2_p50_site0456.png
l33_f1_cluster_24_Ant2_p50_site0493.png
l33_f1_cluster_24_Ant2_p50_site0531.png
l33_f1_cluster_24_Ant2_p50_site0570.png
End of preview. Expand in Data Studio

DiReM v1: Directional Real-deployment Multiband Radio Maps

DiReM is a radio-map dataset built from real Canadian base-station deployments. Transmitter locations, carriers, powers and sector orientations come from ISED spectrum-licence site data; the coverage is simulated with ATDI HTZ Communications using four directional antenna patterns and three transmit-power settings.

v1 is the frozen release used in the paper: 122,021 single-transmitter maps from 5,440 transmitter configurations, with inputs, targets, colour-mapped targets, metadata, the paper's train / validation / test split, and the per-configuration coverage and EMF maps.

Code, generation and processing documentation, and the paper's supplementary material: https://github.com/pariamdz1992/DiReM

Files

file content
cond.tar cond/<name>.png: 3-channel input (basemap, transmitter position, antenna lobe), 256 × 256
target.tar target/<name>.png: single-channel target, pixel value = field strength in dBµV/m, 256 × 256
target_rgb.tar target_rgb/<name>.png: the same maps in the simulator's colour scale
meta.csv one row per map: configuration, carrier frequency (MHz), power (dBm), azimuth
colormap_refs.npz per-configuration colour-to-value tables, to decode RGB predictions
split_train.txt, split_val.txt, split_test.txt the paper's split (81,297 / 25,613 / 15,111 maps)
configurations.zip per configuration: aggregate coverage map, EMF map, basemap, base-station markers, configurations.csv
transmitters.csv the licence record of every transmitter
SHA256SUMS.txt checksums

<name> is {patch}_{carrier}_{cluster}_{antenna}_{power}_site{NNNN}.png. Exact definitions are in docs/PROCESSING.md.

Download

pip install -U huggingface_hub
hf download Pariamdz/DiReM-v1 --repo-type dataset --local-dir DiReM-v1
cd DiReM-v1 && sha256sum -c SHA256SUMS.txt
for t in cond target target_rgb; do tar -xf $t.tar; done

Citation

P. Mohammadzadeh Hesar, L. Chiaraviglio and H. Tabassum, "Learning-Based Radio Map Reconstruction: DiReM Dataset and RadioBridge Framework," under review, 2026.

Licence and attribution

CC BY 4.0. Transmitter records: ISED Terrestrial Spectrum Licence Site Data Extract (Innovation, Science and Economic Development Canada). Propagation: HTZ Communications 2026.1 by ATDI. Basemap in the exported images: map data © OpenStreetMap contributors (ODbL).

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