Filter Results
60117 results
Model data for Fig.2-4
Data Types:
  • File Set
Improvements to the 2D backend calculations Added array size thresholds for handing off to serialized fill methods
Data Types:
  • File Set
Normalized version of the Stanford Helicopter Dataset (http://heli.stanford.edu/dataset/), used in the paper Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM.
Data Types:
  • File Set
Tagging an initial release for DOI. Associated with article: https://ui.adsabs.harvard.edu/abs/2016ApJ...819....3M/abstract
Data Types:
  • File Set
This document serves as the documentation and specification of the Reowolf project, aiming to provide connectors as a generalization of BSD-sockets for multi-party communication over the Internet. The document and source code repository are a work in progress, and is extended further as the project develops. A copy of the source code repository is included. Future development can also be followed on GitHub. See also https://github.com/sirkibsirkib/Reowolf/tree/v0.1.0
Data Types:
  • Document
  • File Set
Set of Rascal DSLs that can be used in Jupyter notebooks using Bacatá
Data Types:
  • File Set
FGTpartitioner is a software for the rapid partitioning of full-genome sequence alignments into 'recombination-free' segments using minimal analytical assumptions. In doing so, FGTpartitioner provides a means for simple and rapid block delimitation in genome-wide datasets as a pretext for phylogenomic analysis, thus increasing accessibility of phylogenomic methods to researchers studying non-model species. Source code: https://github.com/tkchafin/FGTpartitioner
Data Types:
  • File Set
Coordination of Data Products and Standards for TERRA reference data
Data Types:
  • File Set
Supplementary data to the article Gong, S. and Wieczorek, M. (2020) Is the lunar magnetic field correlated with gravity or topography? Journal of Geophysical Research: Planets. This archive contains the Bouguer gravity model used in the analyses of the above cited manuscript, as well as the data files to reproduce Figures 2-3 and Figures S1-S3. For the correlation results, the bandwidth and angular radius of the window were 26 and 10 degrees, respectively, which yields a concentration factor that is better than 99%. FILE DESCRIPTIONS 34_12_3220_900_80_misfit.sh This file contains the spherical harmonic coefficients of the Bouguer gravity model up to degree and order 900. The two values in the first row correspond to the reference radius of the model in km and the constant GM in km^3/s^-2. To generate this model, all known gravitational contributions from the crust were removed from the free-air gravity, including surface relief, lateral variations in crustal density, and crustal thickness variations. The crustal thickness model is from Wieczorek et al. (2013), which has an average thickness of 34 km, a constant crustal porosity of 12%, and a mantle density of 3200 kg/m^3. mc_total_10_26_1_surface.dat Data used to generate the lower panel of Figure 2. This file contains the 95% confidence limits of the average correlation from the Monte Carlo simulations which were performed every 30 degrees in both longitude and latitude. The first two columns correspond to the latitude and longitude, and the third to fifth columns correspond to the 95% confidence limits by using topography, total free-air gravity, and total Bouger gravity, respectively. spec_10_26_1_surface.dat Data used to generate Figure 3. Correlation results between total magnetic field and topography, total free-air gravity, and total Bouguer gravity at the surface. The first two columns correspond to the latitude and longitude, and the third to fifth columns correspond to the ratio between the average correlation and its 95% confidence limits by using topography, total free-air gravity, and total Bouger gravity, respectively. If the value is equal to or greater than 1, this indicates that the total magnetic field is positively correlated with the testing field (topography, total free-air gravity, or total Bouguer gravity); If the value is equal to or less than -1, this indicates that the total magnetic field is negatively correlated with the testing field. spec_10_26_1_surface_4lwin.dat Data used to generate Figure S1. Correlation results calculated at the surface by removing the first 4*lwin degrees. spec_10_26_1_30km.dat Data used to generate Figure S2. Correlation results calculated at 30 km altitude. spec_10_26_1_surface_3sigma.dat Data used to generate Figure S3. Correlation results calculated at the surface by using the 99% confidence limits.
Data Types:
  • File Set
optimisation package for MITgcm based on m1qn3 with proper reverse control
Data Types:
  • File Set