6,691 to 6,700 of 6,721 Results
Plain Text - 4.0 KB -
MD5: fdbe19f19afde6f178b6c7a94dfac3e5
Description of data in VME_RawFiles.zip |
ZIP Archive - 31.4 GB -
MD5: 9e99bc1f1bbf2dc6a3da2bbd9123bc1c
Raw data files for the different modalities.
See the README file for a description of included files. |
Jan 20, 2023
Spiers, Ad, 2023, "S-BAN Haptic Interface Open Source CAD", https://doi.org/10.17617/3.LERWAX, Edmond, V1
The S-BAN (Shaped-Based Assistance for Navigation) is a shape-changing handheld navigation device created in the Haptic Intelligence Department. The device is introduced in the following paper: https://dl.acm.org/doi/abs/10.1145/3555046 The attached CAD folder includes: .STL file... |
Jan 20, 2023 -
S-BAN Haptic Interface Open Source CAD
PNG Image - 350.8 KB -
MD5: 9e05421410cb928f64685600d82a9174
Assembled S-BAN |
Jan 20, 2023 -
S-BAN Haptic Interface Open Source CAD
PNG Image - 1.3 MB -
MD5: edfea28791d0cb41057cbbd73a5037f0
Exploded view (which acts as assembly instructions) |
Jan 20, 2023 -
S-BAN Haptic Interface Open Source CAD
ZIP Archive - 17.0 MB -
MD5: 37375c9f9967527e58ad26b27370940f
.STL files for 3D printers and
.PAR/.ASM files for opening and editing in SolidWorks.
The S-BAN utilises two Actuonix L12-30-50-06-I linear servos, which may be purchased from various online sources. |
Jan 19, 2023
Kariyathan, Theertha, 2023, "Reducing errors on estimates of the carbon uptake period based on time series of atmospheric CO2", https://doi.org/10.17617/3.ZKX9JS, Edmond, V1
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Jan 19, 2023 -
Reducing errors on estimates of the carbon uptake period based on time series of atmospheric CO2
Adobe PDF - 58.9 KB -
MD5: e9f578adc95adb427e578937e8824d36
readme file for following Loess_EFD_method.R |
Jan 19, 2023 -
Reducing errors on estimates of the carbon uptake period based on time series of atmospheric CO2
R Syntax - 8.1 KB -
MD5: fcadce924f8b9323a74977385b9bb96c
This R script calculates CUP and associated metrics for NOAA data for multiple ensembles using the EFD method. |
Jan 19, 2023
Shao, Shuai, 2023, "Neuronal and network mechanisms for the emergence of neural computations", https://doi.org/10.17617/3.JUA2LW, Edmond, V1
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