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6,821 to 6,830 of 6,831 Results
Texto plano - 4,1 KB - MD5: 31d019465df9fd3abb8bbaa549bc9efa
Jan 9, 2025 - Universidad de Alcalá
Aragoneses, Elena; García, Mariano; Chuvieco, Emilio, 2025, "FirEUrisk_canopy_fuel_parameters: canopy fuel load, canopy bulk density", https://doi.org/10.21950/Z6BWQG, e-cienciaDatos, V1
Spatially explicit data on forest canopy fuel parameters provide critical information for wildfire propagation modelling, emission estimations and risk assessment. We used a multi-sensor approach integrating satellite Light Detection and Ranging (LiDAR) observations from the Global Ecosystems Dynamics Investigation (GEDI) sensor, with multi-spectra...
Imagen TIFF - 8,5 MB - MD5: b168b4d0bc8e5fd435c30d1ea15d0fdf
Canopy bulk density
Imagen TIFF - 7,2 MB - MD5: e2061667245e5538592e569b2af4d314
Canopy bulk density - uncertainty
Imagen TIFF - 8,5 MB - MD5: 733f6969417eff15fb5fe07d7ddb0f14
Canopy fuel load
Imagen TIFF - 7,1 MB - MD5: 6137947d783732edf034ab1165d53001
Canopy fuel load - uncertainty
Texto plano - 10,2 KB - MD5: bb3ed445cd233af1f9e5e037a928af4d
Metadata
Jan 9, 2025 - Universidad Rey Juan Carlos
López Galisteo, Antonio Julio; Borras-Gene, Oriol, 2025, "Creation and Evaluation of an AI Assistant (GPT) for Educational Experience Design", https://doi.org/10.21950/YDZDVG, e-cienciaDatos, V1
This dataset corresponds to the article titled 'Creation and Evaluation of an AI Assistant (GPT) for Educational Experience Design' In this work, an assistant created through ChatGPT was validated by designing various scenarios and tests for each of them. This dataset includes the conversations with the AI Assistant for each of the tests. The emerg...
application/vnd.oasis.opendocument.text - 108,9 KB - MD5: c0ecd1e484f17c6498b3a15794db6098
Texto plano - 4,6 KB - MD5: 4a35337d046127aee483f3bd2ad0cddb
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