101 a 110 de 3.789 Resultados
24 mar 2025 -
The Linguistic Anchoring of Storyworld Possible Selves in Fictional Narrative Prose in English (SPSLingAnc)
Adobe PDF - 1,0 MB -
MD5: c285404c9a1d94e9892da755696cb400
SPSLingAnc1_The Great Gatsby_MAXQDA_screen: Presentation of these tokens in their narrative context in MAXQDA.
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24 mar 2025 -
The Linguistic Anchoring of Storyworld Possible Selves in Fictional Narrative Prose in English (SPSLingAnc)
Hoja de cálculo MS Excel - 149,8 KB -
MD5: 40c046d3a5f31197fab2418ee160fb8d
SPSLingAnc1_The Turn of the Screw_MAXQDA_coded segments: Complete analysis of The Turn of the Screw per token.
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24 mar 2025 -
The Linguistic Anchoring of Storyworld Possible Selves in Fictional Narrative Prose in English (SPSLingAnc)
Adobe PDF - 947,7 KB -
MD5: a3a107c9a60d80e28a642e18cf226392
SPSLingAnc1_The Turn of the Screw_MAXQDA_screen: Presentation of these tokens in their narrative context in MAXQDA. |
24 mar 2025 -
The Linguistic Anchoring of Storyworld Possible Selves in Fictional Narrative Prose in English (SPSLingAnc)
Texto plano - 6,9 KB -
MD5: bb00e52f89b64ac68011ba81a82058eb
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17 mar 2025
Mohammadpour, Pegah; Viegas, Domingos Xavier; Pereira, Alcides; Chuvieco, Emilio, 2025, "Overstory and Understory Fuel Map of Central Portugal- FirEUrisk Pilot Site 3 (PS3)", https://doi.org/10.21950/BBILA8, e-cienciaDatos, V1
Fuel mapping is essential for improving fire risk assessment and enhancing fire behavior modeling. Although approximately 2% of European wildfires are classified as crown fires—extreme events responsible for the most significant damage—there is currently a lack of comprehensive m... |
Texto plano - 8,7 KB -
MD5: ad27667af2baed75ac2c0d663c37d304
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Imagen TIFF - 8,5 MB -
MD5: 852bb1d6341092f8e1249f67265333f8
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Imagen TIFF - 5,4 MB -
MD5: eaaa09105b8af8c56ba3bdcb8f04cd3d
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Imagen TIFF - 3,5 MB -
MD5: 02c530723f962e5770f5c4b9b0b97bf4
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9 feb 2025
Pettinari, M Lucrecia, 2025, "Global Fuelbed Dataset", https://doi.org/10.1594/PANGAEA.849808
This dataset presents the first global fuel map, containing all the parameters required to be input in the Fuel Characteristic Classification System (FCCS). The dataset was developed from different spatial variables, both based on satellite Earth observation products and fuel dat...Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |