421 to 430 of 11,076 Results
Jul 9, 2021
Ancin-Murguzur, Francisco Javier, 2021, "Replication Data for: Using near-infrared reflectance spectroscopy (NIRS) to predict carbon and nitrogen stable isotope composition in animal tissues", https://doi.org/10.18710/5PX1GJ, DataverseNO, V1
1. Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. 2. We used near-infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios... |
Plain Text - 4.3 KB -
MD5: e894a4c6a2a7a6c56193edad94b05e96
README file |
R Syntax - 5.9 KB -
MD5: aedacc09bfa6ffabbe0f9c029864a811
The "Script.R" file contains all the required R commands to develop the main model described in the related publication |
Plain Text - 30.0 MB -
MD5: 7591534c20ec2d832f94a53bb7677f3c
The "Spectra.txt" file contains the reference spectral dataset, with columns named with their corresponding wavelength number (X350 to X2450) and the sample identifier ("Sample") |
Plain Text - 10.6 KB -
MD5: ed8103b3925e9bc9cfb0df4aa4d8794f
The "Values.txt" file contains the reference chemical values for d13C, d15N, C, N and the C/N ratios (with equivalent column names) as well as the sample identifier |
Mar 22, 2021
Havnes, Kjerstin, 2021, "Replication Data for: Time distribution for pharmacists conducting a randomized controlled trial – an observational time and motion study", https://doi.org/10.18710/PWFB8M, DataverseNO, V1, UNF:6:/squtoJJFkQlJ4Yn6jv8/w== [fileUNF]
The data provided is from an observational time and motion study of clinical pharmacists implementing a clinical intervention in a geriatric ward. The aim was to investigate the time distribution for the pharmacists when conducting the randomized controlled trial (RCT) implementi... |
Plain Text - 4.9 KB -
MD5: cb070fc696395c48252a98460d498e30
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Tabular Data - 1.3 MB - 94 Variables, 3346 Observations - UNF:6:/squtoJJFkQlJ4Yn6jv8/w==
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Adobe PDF - 532.6 KB -
MD5: 4e3ed547ec77758950488a0eee7cf8d9
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Adobe PDF - 525.5 KB -
MD5: 5cfa66b1e046611c598fe89da5940c7e
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