Professor Revzen and his team at the Biologically Inspired Robotics and Dynamical Systems (BIRDS) Lab are working on discovering, modeling, and reproducing the strategies animals use when interacting with physical objects. This work consists of collaboration with biomechanists to analyze experimental data, developing new mathematical tools for modeling and estimation of model parameters, and construction of robots which employ the new principles.
This sub-collection includes Photographs and Photologs of the sites, a Site Database with information collected and observed about the site and Site documentation. Documentation consists of PDFs of scans of miscellaneous documents related to a particular site, including maps, wall drawings, original notes, etc. Data are organized according to site number: S001, S002, etc. There are 17 sites in total.
The following works contain the databases, field notebooks, unit and profile drawings, photographs, photo descriptions, radiocarbon dates, and geophysical survey data related to the Gajtan settlement excavation.
This database contains six datasets intended to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics. The six datasets are: large-eddy-simulation data for a turbulent jet, direct-numerical-simulation data for a zero-pressure-gradient turbulent boundary layer, particle-image-velocimetry data for the same boundary layer, direct-numerical-simulation data for laminar stationary and pitching flat-plate airfoils, particle-image-velocimetry and force data for an airfoil encountering a gust, and large-eddy-simulation data for the separated, turbulent flow over an airfoil.
All data are stored within hdf5 files, and each dataset additionally contains a README file and a Matlab script showing how the data can be read and manipulated. Since all datafiles use the hdf5 format, they can alternatively be read within virtually any other programing environment. An example.zip file included for each dataset provides an entry point for users.
The database is an initiative of the AIAA Discussion Group on Reduced-Complexity Modeling and is detailed in the paper listed below. For each dataset, the paper introduces the flow setup and computational or experimental methods, describes the available data, and provide an example of how these data can be used for reduced-complexity modeling. All users should cite this paper as well as appropriate primary sources contained therein.
Towne, A., Dawson, S., Brès, G. A., Lozano-Durán, A., Saxton-Fox, T., Parthasarthy, A., Biler, H., Jones, A. R., Yeh, C.-A., Patel, H., Taira, K. (2022). A database for reduced-complexity modeling of fluid flows. AIAA Journal 61(7): 2867-2892.
The Division of Reptiles and Amphibians maintains a collection that is worldwide in scope. The research collections contain over 200,000 catalogued lots representing approximately 435,000 individual specimens.
This study analyzes correlations between magnetic field data from closely-spaced pairs of ground magnetometers to observe the spatial scale of ionospheric current signatures. Correlations were mainly calculated in 7.5 minute intervals for periods of multiple days. Distributions were taken from the collection of these 7.5 minute intervals to identify the amount of time where the magnetometers were observing "similar" or "different" ionospheric signatures. The raw magnetometer data was taken from two geomagnetic storms: one taking place on 7-8 September, 2017, and the other taking place on 23-24 March, 2023. These periods were selected due to the presence of both high and low geomagnetic activity. The final distributions calculated from this analysis are available in Correlation_Distributions.csv.
Scan of specimen ummz:mammals:97068 (Ammotragus lervia) - Skull. Raw Dataset includes 1601 TIF images (each 1972 x 1578 x 1 voxel at 0.1215074 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:97068 (Ammotragus lervia) - Skull. Reconstructed Dataset includes 1972 TIF images (each 1972 x 1578 x 1 voxel at 0.121507 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:103305 (Eudorcas THOMSONII) - Skull. Raw Dataset includes 1601 TIF images (each 1870 x 924 x 1 voxel at 0.0912381 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:103305 (Eudorcas THOMSONII) - Skull. Reconstructed Dataset includes 1636 TIF images (each 1870 x 924 x 1 voxel at 0.091238 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:125684 (Capreolus capreolus) - Skull. Raw Dataset includes 1601 TIF images (each 1555 x 1967 x 1 voxel at 0.1215076 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:125684 (Capreolus capreolus) - Skull. Reconstructed Dataset includes 1411 TIF images (each 1555 x 1967 x 1 voxel at 0.121508 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:178562 (Ourebia ourebi) - Skull. Raw Dataset includes 1601 TIF images (each 791 x 1671 x 1 voxel at 0.1214979 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:178562 (Ourebia ourebi) - Skull. Reconstructed Dataset includes 1446 TIF images (each 791 x 1671 x 1 voxel at 0.121498 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
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