GIS shape files for each tract along with additional, generic spatial data, including files for tract visibility, vegetation, overall pottery density, and overall tile density. The latter two are not chronologically specific; they include all pottery and tile counts by tract, regardless of age.
Each tract has a photo, a few have associated feature photos. Each photo is labelled with the date it was taken, and a consecutive number: ex. “A-150610-001”. Photos are in folders by team, and by date: Team A (362 megs), Team B (963 megs), Team C (638 megs), Team D (1.45 GB), Team E ( 1.41 GB), Team F (619 megs), Team G (461 megs), Team H (233 megs), Team I (817 megs), Team J (903 megs), and Team K (226 megs). Each folder is accompanied by an Excel photo log, exported to CSV, that provides captions.
PDFs of the reports written by survey team leaders at the end of the season, including the report as submitted and a final edited version. There are two reports for each team. [NOTE: in some cases, only the final edited version of a report is included.]
This work is composed of PDFs of scans of miscellaneous documents related to a particular site, including maps, wall drawings, original notes, etc. For those sites that were systematically surface collected (Sites 001, 002, 003, and 011), scans of the site collection grid and raw counts of collected artifacts (on a “Site Collection Form”) are also included.
UWHandles is a dataset for 6D object pose estimation in underwater fisheye images. It provides 6D pose and 2D bounding box annotations for 3 different graspable handle objects used for ROV manipulation. The dataset consists of 28 image sequences collected in natural seafloor environments with a total of 20,427 annotated frames. and Meta repository for the dataset
https://github.com/gidobot/UWHandles
Billings, G., & Johnson-Roberson, M. (2020). SilhoNet-fisheye: Adaptation of a ROI based object pose estimation network to monocular fisheye images. IEEE Robotics and Automation Letters, 5(3), 4241-4248.
UWslam is a dataset for underwater stereo and hybrid monocular fisheye + stereo SLAM in natural seafloor environments. The dataset includes a spiral survey of a shallow reef captured with a diver operated stereo rig and 4 hybrid image sequences captured with a deep ocean ROV in different deep ocean environments. Ground truth pose estimates for the spiral stereo trajectory were obtained by processing the image sequence through COLMAP. Ground truth pose estimates for the hybrid sequences were obtained by distributing fiducials on the seafloor before capturing an image sequence and processing the image sequences with the ROS based TagSLAM package.
G. Billings, R. Camilli and M. Johnson-Roberson, "Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems," in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 6798-6805, July 2022, doi: 10.1109/LRA.2022.3176448.
As part of the Flaring & Fossil Fuels: Uncovering Emissions & Losses (F3UEL) project, in 2021 the aircraft measurement platform sampled offshore oil & gas facilities in Alaska and California to quantify facility-level emissions using the approach detailed in Conley et al. (2017). Onshore, the aircraft sampled downwind of flare combustion plumes in the Bakken region of North Dakota. Vertical profiles were conducted on each flight to capture the vertical structure and mixing depths of the atmosphere. The data file contains all merged flight data from each flight day. and Reference: Conley, S., Faloona, I., Mehrotra, S., Suard, M., Lenschow, D. H., Sweeney, C., Herndon, S., Schwietzke, S., Pétron, G., Pifer, J., Kort, E. A., and Schnell, R.: Application of Gauss’s theorem to quantify localized surface emissions from airborne measurements of wind and trace gases, Atmos. Meas. Tech., 10, 3345 – 3358, 2017.
As part of the Flaring & Fossil Fuels: Uncovering Emissions & Losses (F3UEL) project, in 2020 the aircraft measurement platform sampled offshore oil & gas facilities in the Gulf of Mexico to quantify facility-level emissions using the approach detailed in Conley et al. (2017). Onshore, the aircraft sampled downwind of flare combustion plumes in the Permian and Eagle Ford regions of Texas. Vertical profiles were conducted on each flight to capture the vertical structure and mixing depths of the atmosphere. The data file contains all merged flight data from each flight day. and Reference: Conley, S., Faloona, I., Mehrotra, S., Suard, M., Lenschow, D. H., Sweeney, C., Herndon, S., Schwietzke, S., Pétron, G., Pifer, J., Kort, E. A., and Schnell, R.: Application of Gauss’s theorem to quantify localized surface emissions from airborne measurements of wind and trace gases, Atmos. Meas. Tech., 10, 3345 – 3358, 2017.
Large geomagnetic disturbances (GMDs, also denoted as MPEs - magnetic perturbation events)
have sufficient amplitude to cause geomagnetically induced currents (GICs) that can damage
technical infrastructure. In this study we present occurrence statistics for GMD / MPE
events with derivatives ≥ 6 nT/s and ≥ 20 nT/s from five stations in the MACCS and AUTUMNX
magnetometer arrays in Arctic Canada at magnetic latitudes ranging from 65° to 75°. Earlier
studies using data from these arrays (Engebretson et al., 2019a,b, 2021a,b) covered only two
years (2015 and 2017) and focused on latitude- and local time-dependent occurrence patterns and
short-term dependencies on solar wind/IMF parameters and magnetospheric activity indices.
This study presents all available data from these stations from 2011 through 2022
to analyze variations of GMD activity over a full solar cycle. Intense GMD activity did
not closely follow the sunspot cycle, but instead was lowest during its rising phase and
maximum (2011-2014), was highest during the early declining phase (2015-2017), and reached
a subsequent minimum early in the following sunspot cycle (2020). GMDs with amplitude
>20 nT/s followed the same yearly pattern but peaked even more strongly during 2015-2017.
Most of these GMDs were associated with high-speed solar wind streams
(Vsw > 600 km/s), but not with strongly negative values of the SYM/H index. The majority of
these GMDs, irrespective of the Vsw value, were accompanied within 10 min (and most often less)
by other events with amplitude ≥ 6 nT/s and showed a mostly poleward progression.
These results show that large amplitude but spatially localized nighttime GMDs are primarily
associated with high-speed stream geomagnetic drivers during the declining
phase of the solar cycle. This indicates that large GIC hazard conditions can occur for a
variety of solar wind drivers and geomagnetic conditions and not only for fast-coronal mass
ejection driven storms.
Engebretson, M. J., Steinmetz, Yang, L., Pilipenko, V. A., Moldwin, M. B., McCuen, B. A., Connors, M. G., Weygand, J. M., Waters, C. L., Lyons, L. R., Nishimura, Y., Russell, C. T. (2023) Solar Cycle Dependence of Very Large Nighttime Geomagnetic Disturbances (GMDs) Observed in Eastern Arctic Canada. Journal of Geophysical Research – Space Physics