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58,061 to 58,070 of 58,575 Results
apple_pgram_OBJ.obj
Aug 13, 2019 - 3D Still Life - apple with bite - photogrammetry
TGIF File - 100.1 MB - MD5: 823245128e5f04c01ea85e0ac2a6d07c
geometry file for OBJ
apple_pgram_STLascii.stl
Aug 13, 2019 - 3D Still Life - apple with bite - photogrammetry
STL Format - 235.8 MB - MD5: 87647141674b0f128740bf6a682514b3
ASCII text STL file; optimal for most 3D printers
apple_pgram_STLbin.stl
Aug 13, 2019 - 3D Still Life - apple with bite - photogrammetry
STL Format - 38.9 MB - MD5: c1076844c80101540d8566473eac1053
Binary STL file; optimal for most 3D printers
apple_pgram_VRML97.wrl
Aug 13, 2019 - 3D Still Life - apple with bite - photogrammetry
model/vrml - 86.8 MB - MD5: 1afe16d8686a3bce138e0b73229172fa
VRML 97 file
apple_photogram_01.jpg
apple_photogram_01.jpg
Aug 13, 2019 - 3D Still Life - apple with bite - photogrammetry
JPEG Image - 60.5 KB - MD5: 58e184e6278c75c04710fcade9125341
descriptive image of subject
apple_stem_bool_02-TEX-2_OBJ.mtl
Aug 13, 2019 - 3D Still Life - apple with bite - photogrammetry
Unknown - 260 B - MD5: 009b1b1a628cae7c930fec3f70661072
Material file for OBJ of source data
apple_stem_bool_02-TEX-2_OBJ.obj
Aug 13, 2019 - 3D Still Life - apple with bite - photogrammetry
TGIF File - 100.1 MB - MD5: 8e554b03857177a7c8de0b711f88e11c
geometry file for OBJ of source data
Annotation Codes.tab
Jul 10, 2019 - UVA Holter Beat Annotation Files
Tabular Data - 2.2 KB - 6 Variables, 45 Observations - UNF:6:nwzlaXBf2El/P0roqFp/zQ==
Spreadsheet with description of beat annotation and rhythm classification codes.
readbea.m
Jul 10, 2019 - UVA Holter Beat Annotation Files
Plain Text - 2.0 KB - MD5: 24a1bf014d4e080a8d1ce32068e18519
Matlab function to read in RR intervals and rhythm labels from beat annotation (.BEA) files
UVA Holter BEA.zip
Jul 10, 2019 - UVA Holter Beat Annotation Files
ZIP Archive - 1.1 GB - MD5: 40c2f1d006c93095b556c21c1f53eb31
Zipped directory of 2893 raw .BEA text files. Files contain beat annotations and rhythm classifications determined by Holter device using 3 EKG leads sampled at 200Hz;
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