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2,551 to 2,560 of 3,308 Results
todas Naturws_2012.pdf
todas Naturws_2012.pdf
Apr 9, 2024 - Supplementary material : spontaneous ultra-weak light emissions from wheat seedlings are rhythmic and synchronized with the time profile of the local gravimetric tide
Adobe PDF - 7.6 MB - MD5: 7e2d4c377cf5a12a9f978a259042bd47
Biological autoluminescence of seedlings and local gravimetric tide data, 2007-2009
datasets.zip
Apr 3, 2024 - Replication data for: comparing multi-objective surrogate models for binary petroleum well placement
Unknown - 19.0 KB - MD5: fd2cc8dc6b5aff43dd74511bce3b7f65
Contains the datasets (from D1 to D5) used in the experiments.
experimental_results.zip
Apr 3, 2024 - Replication data for: comparing multi-objective surrogate models for binary petroleum well placement
Unknown - 1.4 MB - MD5: 0407ae3ae94b61e6794df4f98bbb53f2
Contains the complete experimental results.
source_code.zip
Apr 3, 2024 - Replication data for: comparing multi-objective surrogate models for binary petroleum well placement
Unknown - 7.6 KB - MD5: ee21b95cabcf77e1a72566a5b1220ca1
Contains the source code for the experimental setup, with the Python code (in a Jupyter Notebook) that was used to evaluate the surrogate models.
microgreensAmaranth_1.rar
Mar 5, 2024 - Replication data for: non-destructive method to estimate bioactive compounds content through images in indoor growing microgreens
RAR Archive - 2.2 GB - MD5: 023e475cd1e9b5a9ae898f1112766834
Images
The compressed file contains raw images (1640 x 1232 px) for species. Images were captured by a Raspberry Pi Zero W minicomputer (1 GHz Broadcom, BCM2835 processor, 512 MB RAM) equipped with an 8 MP digital camera (Module v2), placed inside a square inspection chamber with an ill...
microgreensAmaranth_2.rar
Mar 5, 2024 - Replication data for: non-destructive method to estimate bioactive compounds content through images in indoor growing microgreens
RAR Archive - 2.2 GB - MD5: 8940d64bf015410621c4b1fb19367eb9
Images
The compressed file contains raw images (1640 x 1232 px) for species. Images were captured by a Raspberry Pi Zero W minicomputer (1 GHz Broadcom, BCM2835 processor, 512 MB RAM) equipped with an 8 MP digital camera (Module v2), placed inside a square inspection chamber with an ill...
microgreensArugula_1.rar
Mar 5, 2024 - Replication data for: non-destructive method to estimate bioactive compounds content through images in indoor growing microgreens
RAR Archive - 2.2 GB - MD5: a4b930631462a85f48dc6c070fb830ff
Images
The compressed file contains raw images (1640 x 1232 px) for species. Images were captured by a Raspberry Pi Zero W minicomputer (1 GHz Broadcom, BCM2835 processor, 512 MB RAM) equipped with an 8 MP digital camera (Module v2), placed inside a square inspection chamber with an ill...
microgreensArugula_2.rar
Mar 5, 2024 - Replication data for: non-destructive method to estimate bioactive compounds content through images in indoor growing microgreens
RAR Archive - 2.2 GB - MD5: aecf9e7bb64c09ad2602eee364387ad4
Images
The compressed file contains raw images (1640 x 1232 px) for species. Images were captured by a Raspberry Pi Zero W minicomputer (1 GHz Broadcom, BCM2835 processor, 512 MB RAM) equipped with an 8 MP digital camera (Module v2), placed inside a square inspection chamber with an ill...
microgreensBeet_1.rar
Mar 5, 2024 - Replication data for: non-destructive method to estimate bioactive compounds content through images in indoor growing microgreens
RAR Archive - 2.3 GB - MD5: dc35d4e820a778b0e2b5fd80a4d7ddc5
Images
The compressed file contains raw images (1640 x 1232 px) for species. Images were captured by a Raspberry Pi Zero W minicomputer (1 GHz Broadcom, BCM2835 processor, 512 MB RAM) equipped with an 8 MP digital camera (Module v2), placed inside a square inspection chamber with an ill...
microgreensBeet_2.rar
Mar 5, 2024 - Replication data for: non-destructive method to estimate bioactive compounds content through images in indoor growing microgreens
RAR Archive - 2.3 GB - MD5: 34c4282cba43cbf30255d8007c3dd0e8
Images
The compressed file contains raw images (1640 x 1232 px) for species. Images were captured by a Raspberry Pi Zero W minicomputer (1 GHz Broadcom, BCM2835 processor, 512 MB RAM) equipped with an 8 MP digital camera (Module v2), placed inside a square inspection chamber with an ill...
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