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Latvijas Biozinātņu un tehnoloģiju universitātes Dataverse nodrošina platformu universitātes pētniekiem datu kopu publicēšanai un kopīgošanai.
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11 to 20 of 139 Results
1797.npz
Feb 16, 2026 - Hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta
Unknown - 64.9 MB - MD5: e385373eb2407eb1fdf0c7a7e80467e2
1827.npz
Feb 16, 2026 - Hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta
Unknown - 63.0 MB - MD5: 703ec0db82405afbd76b4271a1965931
1855.npz
Feb 16, 2026 - Hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta
Unknown - 64.6 MB - MD5: c601acf8b0298916a100b99211fac8db
1797.zip
Feb 16, 2026 - Hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta
ZIP Archive - 44.9 MB - MD5: ae22c4f6351f0a3ae630dcc398a9273e
1827.zip
Feb 16, 2026 - Hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta
ZIP Archive - 46.3 MB - MD5: 4855470b9c0f9a4fb9c80c4be3b5833c
1855.zip
Feb 16, 2026 - Hyperspectral imaging (HS) of tomato leaves inoculated with Alternaria protenta
ZIP Archive - 47.5 MB - MD5: 820a63aa94b59d6aa90732a13376abdc
Profitability_grid.gpkg
Feb 10, 2026 - Dataset for comparing agricultural and forestry profitability at the parcel level
Unknown - 15.0 MB - MD5: d19bc25342bfa7eb77285e5678a9cbc0
Parcel-level results in a single grid with 100-hectare cells
ReadMe_profitability_Latvia.txt
Feb 10, 2026 - Dataset for comparing agricultural and forestry profitability at the parcel level
Plain Text - 4.0 KB - MD5: 80bd2912047598b3f5d5b1d8601c4b0b
ReadMe file with dataset description
description.pdf
description.pdf
Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal
Adobe PDF - 150.4 KB - MD5: 114e5331ed744dc7ba1df60e6faf6704
Description of indicators
progress_period.tabEmbargoed
Jan 26, 2026 - Datasets for EU Member State Contribution to Reducing Agricultural Nutrient Losses under the European Green Deal
Tabular Data - 741 B - 4 Variables, 27 Observations - UNF:6:z2GeW9lKajCDIvBUWr/xaw==
Actual data - the change between the averages for 2012–2015 and 2016–2019
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