2875 research outputs found
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Segmentation-Less, Automated, Vascular Vectorization Data
Input images, intermediates and outputs used to demonstrate the Segmentation-Less, Automated, Vascular Vectorization (SLAVV) software. Please read the Related Publication, and see the Alternative URL in the metadata for more download options
Microbiological Data: Pathogen-Inoculated and Non-Inoculated Tomatoes
Data file contains raw and log-transformed microbiological data for tomato skin samples prepared and inoculated with bacterial pathogens or left untreated. Data are presented in log CFU/cm^2 in a column format suitable for importing into JMP or other statistics analysis software. Data were generated by research experiments supported by USDA-NIFA
Replication Data for: Naturally Constrained Orthopyroxene Piezometer
CSV files of olivine and orthopyroxene recrystallized grain size measurements. These are raw data; they do not reflect any geometric correction factor
XRD
XRD (X-ray Powder Diffraction) data from samples processed at Johnson Space Center by Elizabeth Rampe
Replication Data for: Pretzlav KLG, JPL Johnson, DN Bradley, 2021, Smartrock transport from seconds to seasons: Shear stress controls on gravel diffusion inferred from hop and rest scaling, Geophysical Research Letters
Data archive for Pretzlav, Johnson, Bradley, 2021, Smartrock transport from seconds to seasons: Shear stress controls on gravel diffusion inferred from hop and rest scaling, Geophysical Research Letters.
Data consist of a spreadsheet containing various smartrock data used in the analysis and figures of the paper
Replication Data for 'Endogenous & Dangerous'
This study analyzed the relations of cases that judges cited in their judicial opinions to the cases that lawyers had cited in their persuasive memoranda to the courts in advance of the judicial opinions, considering how frequently and under what circumstances the judges cited cases that the lawyers had not. The findings appear in the journal article "Endogenous and Dangerous," in volume 22 of Nevada Law Journal, forthcoming 2022. This dataset supplements the dataset the author used for a previous article. Replication of the present study would require use both of the previous dataset and this supplementary one. See Brian N. Larson, Precedent as Rational Persuasion, 25 Legal Writing: The Journal of the Legal Writing Institute 135–212 (2021); Larson, Brian, 2020, "Coding guide & replication data for 'Precedent as Rational Persuasion'", https://doi.org/10.18738/T8/SXNR02, Texas Data Repository, V1