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Unknown - 64.6 MB - MD5: c601acf8b0298916a100b99211fac8db
ZIP Archive - 44.9 MB - MD5: ae22c4f6351f0a3ae630dcc398a9273e
ZIP Archive - 46.3 MB - MD5: 4855470b9c0f9a4fb9c80c4be3b5833c
ZIP Archive - 47.5 MB - MD5: 820a63aa94b59d6aa90732a13376abdc
Feb 10, 2026 - Social Sciences
Bilande, Kristine; Veipane, Una Diana; Nipers, Aleksejs; Pilvere, Irina, 2026, "Dataset for comparing agricultural and forestry profitability at the parcel level", https://doi.org/10.71782/DATA/KINURI, DataverseLV, V2
This study develops a spatial distribution of profitability across agricultural and forestry land use in Latvia. The profitability at the individual parcel level has been calculated, taking into account the characteristics of each plot and management practices. However, to ensure a clear and transparent spatial visualisation, the parcel-level resul...
Unknown - 15.0 MB - MD5: d19bc25342bfa7eb77285e5678a9cbc0
Parcel-level results in a single grid with 100-hectare cells
Plain Text - 4.0 KB - MD5: 80bd2912047598b3f5d5b1d8601c4b0b
ReadMe file with dataset description
Feb 9, 2026 - Medical and Health Sciences
Spigulis, Janis; Rubins, Uldis, 2026, "Multispectral skin lesion images", https://doi.org/10.71782/DATA/J0RMKK, DataverseLV, V1
This project aims at developing an advanced diagnostic methodology for fast grouping of whole-body detected skin malformations and identifying of dermal-invaded malignancies, including skin melanomas. The proposed method is based on combining the triple spectral line whole-body imaging at the visible spectral range with parallel imaging within a ne...
Plain Text - 2.2 KB - MD5: b549fe55c4a75a0d8759722184a38ca5
7Z Archive - 56.5 MB - MD5: 8d08d88a272abe183d459a1992097c16
Spectral Images of various skin lesions
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