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  • South_NFI - Ground-Filtered LiDAR, LAZ format

    Dataset thumbnail: South_NFI - Ground-Filtered LiDAR, LAZ format
    Type:
    Dataset
    Description/Abstract:
    South_NFI Ground filtered LAZ files
    Creator/Author:
    Britton, Benjamin
    Submitter:
    Benjamin Britton
    Date Uploaded:
    04/03/2026
    Date Modified:
    04/06/2026
    Date Created:
    2026-04-03
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • South_GLAS - Ground-Filtered LiDAR, LAZ format

    Dataset thumbnail: South_GLAS - Ground-Filtered LiDAR, LAZ format
    Type:
    Dataset
    Description/Abstract:
    South_GLAS
    Creator/Author:
    Britton, Benjamin
    Submitter:
    Benjamin Britton
    Date Uploaded:
    04/03/2026
    Date Modified:
    04/06/2026
    Date Created:
    2026-04-03
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • G1 G-LiHT Yucatan Reprocessing Project - Ground-Filtered LAZ files

    Dataset thumbnail: G1 G-LiHT Yucatan Reprocessing Project - Ground-Filtered LAZ files
    Type:
    Dataset
    Description/Abstract:
    Reprocessed Imagery from G-LiHT dataset of Yucatan Peninsula see attached info
    Creator/Author:
    Britton, Benjamin
    Submitter:
    Benjamin Britton
    Date Uploaded:
    04/03/2026
    Date Modified:
    04/04/2026
    Date Created:
    2026-04-03
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Maya Pottery Red: Hue as a Perceptual Prior for Object Detection in Remote Sensing for Drone-based Areal Survey of Maya Settlements

    Dataset thumbnail: Maya Pottery Red: Hue as a Perceptual Prior for Object Detection in Remote Sensing for Drone-based Areal Survey of Maya Settlements
    Type:
    Dataset
    Description/Abstract:
    This dataset contains an original article, "Maya Pottery Red: Hue as a Perceptual Prior for Object Detection in Remote Sensing for Drone-based Areal Survey of Maya Settlements" and supplementary material for the article, including results and source data.
    Creator/Author:
    Britton, Benjamin; Dunning, Nicholas, and McLellan, Alec
    Submitter:
    Benjamin Britton
    Date Uploaded:
    03/22/2026
    Date Modified:
    06/01/2026
    Date Created:
    2026-03-31
    License:
    Open Data Commons Attribution License (ODC-By)

  • Q2000 Deep Learning Model Package

    Dataset thumbnail: Q2000 Deep Learning Model Package
    Type:
    Dataset
    Description/Abstract:
    Q2000 Deep Learning Model Package This Technical Resource Bundle provides the Q200 Deep Learning model for open access download and use. The Q2000 DL model is built to detect Maya structures in Lidar data visualized at one meter per pixel. Currently, this repository contains the ESRI ArcGIS compatible DL model in the format .dlpk. We expect to convert the model in its current form into Pytorch (.pt) and TensorFlow (.h5) formats to incude them also here for user access. The Q2000.dlpk file was created in 2025 at University of Cincinnati by Benjamin Britton, using ArcGIS Pro v.3.3 with data from the NASA Ames G-LiHT. It is intended as an experiment to evaluate the practicability of creating a broadscale deep learning model that can be used effectively to identify Maya structures in Lidar data across the length and breadth of the Yucatan Peninsula. The Q2000 model is the subject of an article, a draft of which is also included in this dataset, called "Evaluating Broadscale Deep Learning for Maya Settlement Detection in G-LiHT Lidar" which examines the process and rationale of the model development in detail. The article has been accepted for publication and this site is included in that article with a link to this permanent (DOI) publication site. To use the model with ArcGIS Pro, use a Lidar dataset converted to a 1m/pixel DEM file and visualized as a 3-channel RGB Hillshade or other customized visualization as source input. -Using the ArcGIS Pro Spatial Analyst Extension, the geoprocessing tool called "Detect Object Using Deep Learning" may be invoked. -For Input Raster, add your Lidar visualization (a Hillshade visualization might be easiest for most users). -For Output Detected Objects, specify a new Layer name, and this will be the layer on which the detections will be recorded and displayed. -For Model Definition, use Q2000.dlpk. -Unless you want to run "arguments", you can leave the Arguments boxes as their Default. -I suggest checking the box (On) for Non Max suppression because it will reduce the amount of overlapping detections if target objects are located very close to each other, and I suggest a Non-Maximum Suppression (NMS) ratio of 0.5. This will tend to suppress detections that overlap by more than 50 percent. -I suggest you use Pixel Space unchecked (Off), since it is for an unrelated sort of object detection. -Before you click run, open the "Environments" tab (at the top of the window, next to the "Parameters" tab). Leave all the settings at their defaults there - except scroll down to the bottom of Parameters tab to the section called "Processor Type", pull down the Processor type pull-down, and choose GPU (it is set to CPU by default). -Then click Run and it will generate a new layer showing its detections as bounding boxes around target objects. You can see details for each detection by opening the Attribute Table on the new layer. You can see a screen capture of such a configuration in the image called Q200DemoScreenCap.jpg, included in this site's dataset, showing a detection on G-LiHT transect Yucatan_South_GLAS_395 near Pixoyal, with a detection of a Maya staircase highlighted on the display, and its corresponding information highlighted in the Attribute Table for it.
    Creator/Author:
    Britton, Benjamin
    Submitter:
    Benjamin Britton
    Date Uploaded:
    08/23/2025
    Date Modified:
    11/13/2025
    Date Created:
    March 15, 2025
    License:
    Public Domain Mark 1.0

  • Delphi touchscreen art installation

    Media thumbnail: Delphi touchscreen art installation
    Type:
    Media
    Description/Abstract:
    Delphi - a touchscreen video game art installation for galleries and museums. Viewers can explore a contemporary interpretation of the ancient Greek site of Delphi, home of a mythical oracle. The Delphi gallery installation, designed for museums and cultural centers, gives each visitor about ten minutes to explore Delphi and visit the oracle to get a personalized message. The installation is easy to use, and accessible for general audiences of all ages and degrees of experience. Two cubes (or a cube and a chair) are placed on a 7cm high, 2m square plinth stage; the large cube is a ventilated cabinet and tabletop for a touchscreen, the other cube is a seat. As players step up onto the plinth to interact with the touchscreen to explore the virtual world, they enter the installation observed by the other gallery visitors who watch the interaction on large video screens around them, displaying the virtual environment of Delphi onto the gallery walls, with soft, ambient sound of the Greek countryside and occasional interactive events. Delphi requires controlled lighting and electricity, between 50-500 sq meters, large video displays, audio, plinth, and two cubes (or cube and chair) as above. An area of about 500 square meters is optimal, although smaller is possible. A CAVE version of Delphi is currently being researched. Visitors can explore the environment in and around the hills and monuments of Delphi. By artificial intelligence, Delphi responds by AI to each visitors style of play, actions, responses, and behavior, choosing a classic Delphic maxim (150 Delphic maxims drawn from historical and literary sources) for each player in turn. Unzip Delphi_Oracle_install.zip into a Windows folder to create a folder called Delphi_Oracle and its contents. Change directories to browse into the Delphi_Oracle folder, and double-click on Delphi_Oracle.exe to play Delphi. If Microsoft Smartscreen asks to prevent an unrecognized app, click More info, and click Run anyway. With mouse or touchscreen you can move and interact onscreen; Slow or stop, left mouse button or touch the center of the screen Move forward, mouse button or touch center top of screen (higher = faster) Move backward, mouse button or touch center bottom of screen (lower = faster) Turn right, mouse or touch right side of screen Turn left, mouse or touch left side of screen Look up and down, left and right mouse buttons together (or two fingers) A touchscreen makes it feel very immersive, and a mouse also works just fine too. Currently working to run Delphi in the CAVE software for CAVE systems. Delphi is first and foremost a work of contemporary art and an interpretive reconstruction of a cultural treasure for everyone. Looking for a contemporary art gallery where I can premiere it. -benb copyright 2022 Benjamin Britton June 14, 2022 all rights reserved
    Creator/Author:
    Britton, Benjamin
    Submitter:
    Benjamin Britton
    Date Uploaded:
    06/16/2022
    Date Modified:
    06/16/2022
    Date Created:
    2022-06-16
    License:
    All rights reserved

  • Britton_ImmersiveExperience

    Media thumbnail: Britton_ImmersiveExperience
    Type:
    Media
    Description/Abstract:
    Benjamin Britton: A review of some past and current creative research, 2022. -benb
    Creator/Author:
    Britton, Benjamin
    Submitter:
    Benjamin Britton
    Date Uploaded:
    05/11/2022
    Date Modified:
    05/13/2022
    Date Created:
    2022-05-10
    License:
    All rights reserved

  • D/A Interlude

    Media thumbnail: D/A Interlude
    Type:
    Media
    Description/Abstract:
    Digital/Analog Interlude Made with Sandin Image Processor original audio and video composition by Subterranean Video 1983 at BF/VF in Boston.
    Creator/Author:
    Mario Erik Paoli; Subterranean Video, and Britton, Benjamin
    Submitter:
    Benjamin Britton
    Date Uploaded:
    01/02/2022
    Date Modified:
    01/03/2022
    Date Created:
    1983
    License:
    All rights reserved

  • Space Shuttle Stomp

    Media thumbnail: Space Shuttle Stomp
    Type:
    Media
    Description/Abstract:
    Space Shuttle Stomp was produced by Subterranean Video in 1984
    Creator/Author:
    Britton, Benjamin
    Submitter:
    Benjamin Britton
    Date Uploaded:
    01/01/2022
    Date Modified:
    01/01/2022
    License:
    All rights reserved

  • Sisyphus

    Media thumbnail: Sisyphus
    Type:
    Media
    Description/Abstract:
    A small robot rests on the floor as the camera zooms close, a finger reaches out to turn the switch and the robot comes to life. Sisyphus was produced by Subterranean Video, a video collective based at the Boston Film/Video Foundation, in 1983. Sisyphus was premiered at the Boston Institute of Contemporary Art as part of a show called "Boston Now:1984"
    Creator/Author:
    Britton, Benjamin and Charles Jevremovic
    Submitter:
    Benjamin Britton
    Date Uploaded:
    01/01/2022
    Date Modified:
    01/01/2022
    Date Created:
    1983
    License:
    All rights reserved