{"response":{"docs":[{"system_create_dtsi":"2026-03-22T17:05:02Z","system_modified_dtsi":"2026-03-30T17:08:56Z","has_model_ssim":["Dataset"],"id":"h702q793b","accessControl_ssim":["92280b1e-e6b7-4583-a8e8-394b1c1ce909"],"hasRelatedMediaFragment_ssim":["rx913r56m"],"hasRelatedImage_ssim":["rx913r56m"],"depositor_ssim":["brittobj@ucmail.uc.edu"],"depositor_tesim":["brittobj@ucmail.uc.edu"],"title_tesim":["Maya Pottery Red: Hue as a Perceptual Prior for Object Detection in Remote Sensing for Drone-based Areal Survey of Maya Settlements"],"date_uploaded_dtsi":"2026-03-22T17:05:01Z","date_modified_dtsi":"2026-03-30T17:08:21Z","isPartOf_ssim":["admin_set/default"],"alternate_title_tesim":["Maya Pottery Red","Maya Pottery Sherds"],"geo_subject_tesim":["Belize","Yucatan Peninsula"],"time_period_tesim":["Maya Pre-Classic","Maya Classic "],"college_tesim":["Arts and Sciences"],"department_tesim":["Department of Geography \u0026 GIS"],"required_software_tesim":["None"],"creator_tesim":["Britton, Benjamin","Dunning, Nicholas","McLellan, Alec"],"publisher_tesim":["MDPI Remote Sensing","Benjamin Britton"],"subject_tesim":["Object detection","Small object detection","Chromatic priors","Deep learning","Remote sensing","UAV imagery","Archaeological remote sensing","Hue-weighted loss","Maya Archaeology","Ceramic analysis"],"language_tesim":["English"],"description_tesim":["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."],"license_tesim":["http://www.opendatacommons.org/licenses/by/1.0/"],"date_created_tesim":["2026-03-31"],"thumbnail_path_ss":"/assets/work-ff055336041c3f7d310ad69109eda4a887b16ec501f35afc0a547c4adb97ee72.png","suppressed_bsi":false,"actionable_workflow_roles_ssim":["admin_set/default-default-depositing"],"workflow_state_name_ssim":["deposited"],"member_ids_ssim":["rx913r56m"],"file_set_ids_ssim":["rx913r56m"],"visibility_ssi":"open","admin_set_tesim":["Default Admin Set"],"sort_title_ssi":"MAYA POTTERY RED HUE AS A PERCEPTUAL PRIOR FOR OBJECT DETECTION IN REMOTE SENSING FOR DRONEBASED AREAL SURVEY OF MAYA SETTLEMENTS","human_readable_type_tesim":["Dataset"],"read_access_group_ssim":["public"],"edit_access_group_ssim":["admin"],"edit_access_person_ssim":["brittobj@ucmail.uc.edu"],"nesting_collection__pathnames_ssim":["h702q793b"],"nesting_collection__deepest_nested_depth_isi":1,"_version_":1861107633007624192,"timestamp":"2026-03-30T17:09:09.667Z","score":0.00049999997},{"system_create_dtsi":"2025-08-23T20:11:49Z","system_modified_dtsi":"2025-11-13T15:32:32Z","has_model_ssim":["Dataset"],"id":"3f462716x","accessControl_ssim":["dc9cb8a6-792c-4280-842f-62cbac5ba6bd"],"hasRelatedMediaFragment_ssim":["79407z82r"],"hasRelatedImage_ssim":["79407z82r"],"depositor_ssim":["brittobj@ucmail.uc.edu"],"depositor_tesim":["brittobj@ucmail.uc.edu"],"title_tesim":["Q2000 Deep Learning Model Package"],"date_uploaded_dtsi":"2025-08-23T20:11:47Z","date_modified_dtsi":"2025-11-13T15:32:32Z","isPartOf_ssim":["admin_set/default"],"doi_tesim":["doi:10.7945/tbvg-8n31"],"alternate_title_tesim":["Q2000 Deep Learning Model for detecting Maya Ruins in Lidar"],"geo_subject_tesim":["Yucatan Peninsula, Mexico"],"time_period_tesim":["Pre-classic to Post-classic Maya"],"college_tesim":["Arts and Sciences"],"department_tesim":["Geography, Anthropology"],"required_software_tesim":["ArcGIS Pro v 3.3 or newer with Spatial Analyst Extension enabled"],"note_tesim":["This project is an experimental work in progress intended to examine the practicability of creating a pan-Yucatan, multi-regional, broadscale model that could be used by archaeologists to more simply detect and inventory Maya structures for research and analysis by using Lidar data with a deep learning tool. \r\n\r\nPlease feel free to contact the developer for more information and updates, \r\n\r\n-benb\r\nBenjamin Britton\r\nbrittobj@mail.uc.edu\r\nbenjaminbritton@yahoo.com"],"creator_tesim":["Britton, Benjamin"],"publisher_tesim":["Benjamin Britton"],"subject_tesim":["Art, Geography, Anthropology, Archaeology, Computer Science"],"language_tesim":["English"],"description_tesim":["Q2000 Deep Learning Model Package\r\n\r\nThis Technical Resource Bundle provides the Q200 Deep Learning model for open access download and use. \r\nThe 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. \r\n\r\nThe 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. \r\n\r\nThe 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. \r\n\r\nTo 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. \r\n\r\n-Using the ArcGIS Pro Spatial Analyst Extension, the geoprocessing tool called \"Detect Object Using Deep Learning\" may be invoked. \r\n-For Input Raster, add your Lidar visualization (a Hillshade visualization might be easiest for most users). \r\n-For Output Detected Objects, specify a new Layer name, and this will be the layer on which the detections will be recorded and displayed. \r\n-For Model Definition, use Q2000.dlpk. \r\n-Unless you want to run \"arguments\", you can leave the Arguments boxes as their Default. \r\n-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.\r\n-I suggest you use Pixel Space unchecked (Off), since it is for an unrelated sort of object detection. \r\n-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). \r\n-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. \r\n\r\nYou 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."],"license_tesim":["http://creativecommons.org/publicdomain/mark/1.0/"],"date_created_tesim":["March 15, 2025"],"related_url_tesim":["https://glihtdata.gsfc.nasa.gov/","https://benbritton.net"],"thumbnail_path_ss":"/assets/work-ff055336041c3f7d310ad69109eda4a887b16ec501f35afc0a547c4adb97ee72.png","suppressed_bsi":false,"actionable_workflow_roles_ssim":["admin_set/default-default-depositing"],"workflow_state_name_ssim":["deposited"],"member_ids_ssim":["79407z82r","mw22v7069","qn59q5747"],"file_set_ids_ssim":["79407z82r","mw22v7069","qn59q5747"],"visibility_ssi":"open","admin_set_tesim":["Default Admin Set"],"sort_title_ssi":"Q2000 DEEP LEARNING MODEL PACKAGE","human_readable_type_tesim":["Dataset"],"read_access_group_ssim":["public"],"edit_access_group_ssim":["admin"],"edit_access_person_ssim":["brittobj@ucmail.uc.edu"],"nesting_collection__pathnames_ssim":["3f462716x"],"nesting_collection__deepest_nested_depth_isi":1,"_version_":1848689773571473408,"timestamp":"2025-11-13T15:32:36.058Z","score":0.00049999997},{"system_create_dtsi":"2022-06-16T17:45:25Z","system_modified_dtsi":"2022-06-16T17:49:18Z","has_model_ssim":["Medium"],"id":"wh246t65h","accessControl_ssim":["ea043722-c4fd-446d-8705-b96f493a0a5b"],"hasRelatedMediaFragment_ssim":["dn39x294m"],"hasRelatedImage_ssim":["dn39x294m"],"depositor_ssim":["brittobj@ucmail.uc.edu"],"depositor_tesim":["brittobj@ucmail.uc.edu"],"title_tesim":["Delphi touchscreen art installation"],"date_uploaded_dtsi":"2022-06-16T17:45:25Z","date_modified_dtsi":"2022-06-16T17:48:48Z","isPartOf_ssim":["admin_set/default"],"doi_tesim":["doi:10.7945/19s0-9816"],"alternate_title_tesim":["Delphi Oracle","Delphi art project"],"geo_subject_tesim":["Delphi, Greece"],"time_period_tesim":["artistic interpretation outside time"],"college_tesim":["Design, Architecture, Art and Planning"],"department_tesim":["School of Art"],"note_tesim":["\r\nDelphi - a touchscreen video game art installation for galleries and museums.\r\nViewers can explore a contemporary interpretation of the ancient Greek site of Delphi, home of a mythical oracle. \r\n\r\nThe 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. \r\n\r\nTwo 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.\r\n\r\nDelphi 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.\r\n\r\nVisitors 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. \r\n\r\nContact me, and I will provide you with the project as a Windows format zip file.\r\nUnzip Delphi_Oracle_install.zip into a Windows folder to create a folder called Delphi_Oracle and its contents.\r\nChange 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.\r\n\r\nWith mouse or touchscreen you can move and interact onscreen; \r\nSlow or stop, left mouse button or touch the center of the screen\r\nMove forward, mouse button or touch center top of screen (higher = faster)\r\nMove backward, mouse button or touch center bottom of screen (lower = faster)\r\nTurn right, mouse or touch right side of screen\r\nTurn left, mouse or touch left side of screen\r\nLook up and down, left and right mouse buttons together (or two fingers)\r\n\r\nA touchscreen makes it feel very immersive, and a mouse also works just fine too.\r\nCurrently working to run Delphi in the CAVE software for CAVE systems.\r\nDelphi 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.\r\n\r\n-benb\r\ncopyright 2022 Benjamin Britton\r\nJune 14, 2022\r\nall rights reserved"],"creator_tesim":["Britton, Benjamin"],"publisher_tesim":["Benjamin Britton"],"subject_tesim":["History","Culture","Art History","Art","Anthropology","Archeology"],"language_tesim":["English"],"description_tesim":["Delphi - a touchscreen video game art installation for galleries and museums.\r\nViewers can explore a contemporary interpretation of the ancient Greek site of Delphi, home of a mythical oracle. \r\n\r\nThe 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. \r\n\r\nTwo 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.\r\n\r\nDelphi 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.\r\n\r\nVisitors 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. \r\n\r\nUnzip Delphi_Oracle_install.zip into a Windows folder to create a folder called Delphi_Oracle and its contents.\r\nChange 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.\r\n\r\nWith mouse or touchscreen you can move and interact onscreen; \r\nSlow or stop, left mouse button or touch the center of the screen\r\nMove forward, mouse button or touch center top of screen (higher = faster)\r\nMove backward, mouse button or touch center bottom of screen (lower = faster)\r\nTurn right, mouse or touch right side of screen\r\nTurn left, mouse or touch left side of screen\r\nLook up and down, left and right mouse buttons together (or two fingers)\r\n\r\nA touchscreen makes it feel very immersive, and a mouse also works just fine too.\r\nCurrently working to run Delphi in the CAVE software for CAVE systems.\r\nDelphi 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.\r\n\r\n-benb\r\ncopyright 2022 Benjamin Britton\r\nJune 14, 2022\r\nall rights reserved"],"license_tesim":["http://rightsstatements.org/vocab/InC/1.0/"],"date_created_tesim":["2022-06-16"],"related_url_tesim":["https://benbritton.net/delphi_benb.html"],"thumbnail_path_ss":"/downloads/dn39x294m?file=thumbnail","suppressed_bsi":false,"actionable_workflow_roles_ssim":["admin_set/default-default-depositing"],"workflow_state_name_ssim":["deposited"],"member_ids_ssim":["dn39x294m"],"file_set_ids_ssim":["dn39x294m"],"visibility_ssi":"open","admin_set_tesim":["Default Admin Set"],"sort_title_ssi":"DELPHI TOUCHSCREEN ART INSTALLATION","human_readable_type_tesim":["Media"],"read_access_group_ssim":["public"],"edit_access_group_ssim":["admin"],"edit_access_person_ssim":["brittobj@ucmail.uc.edu"],"nesting_collection__pathnames_ssim":["wh246t65h"],"nesting_collection__deepest_nested_depth_isi":1,"_version_":1735814865002430464,"timestamp":"2022-06-16T17:54:14.789Z","score":0.00049999997},{"system_create_dtsi":"2022-05-11T23:48:03Z","system_modified_dtsi":"2022-05-13T03:19:21Z","has_model_ssim":["Medium"],"id":"h415pb92t","accessControl_ssim":["2fe6b701-ced9-4f4e-bce6-82c9c21349dc"],"hasRelatedMediaFragment_ssim":["3197xn44q"],"hasRelatedImage_ssim":["3197xn44q"],"depositor_ssim":["brittobj@ucmail.uc.edu"],"depositor_tesim":["brittobj@ucmail.uc.edu"],"title_tesim":["Britton_ImmersiveExperience"],"date_uploaded_dtsi":"2022-05-11T23:48:03Z","date_modified_dtsi":"2022-05-13T03:19:21Z","isPartOf_ssim":["admin_set/default"],"doi_tesim":["doi:10.7945/p9f3-m703"],"time_period_tesim":["21st 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Interlude"],"date_uploaded_dtsi":"2022-01-02T01:06:58Z","date_modified_dtsi":"2022-01-03T17:35:26Z","isPartOf_ssim":["admin_set/default"],"doi_tesim":["doi:10.7945/2h7b-pq02"],"alternate_title_tesim":["Subterranean Video","SVID"],"geo_subject_tesim":["Boston Massachusetts"],"time_period_tesim":["late 20th century"],"college_tesim":["Design, Architecture, Art and Planning"],"department_tesim":["School of Art"],"creator_tesim":["Mario Erik Paoli","Subterranean Video","Britton, Benjamin"],"publisher_tesim":["Benjamin Britton"],"subject_tesim":["Digital Art","Art","Subterranean Video","Electronic Art","SVID"],"language_tesim":["none"],"description_tesim":["Digital/Analog Interlude \r\nMade with Sandin Image Processor original audio and video composition by Subterranean Video 1983 at BF/VF in Boston."],"license_tesim":["http://rightsstatements.org/vocab/InC/1.0/"],"date_created_tesim":["1983"],"thumbnail_path_ss":"/downloads/g732db494?file=thumbnail","suppressed_bsi":false,"actionable_workflow_roles_ssim":["admin_set/default-default-depositing"],"workflow_state_name_ssim":["deposited"],"member_ids_ssim":["g732db494"],"file_set_ids_ssim":["g732db494"],"visibility_ssi":"open","admin_set_tesim":["Default Admin Set"],"sort_title_ssi":"DA INTERLUDE","human_readable_type_tesim":["Media"],"read_access_group_ssim":["public"],"edit_access_group_ssim":["admin"],"edit_access_person_ssim":["brittobj@ucmail.uc.edu"],"nesting_collection__pathnames_ssim":["kd17cv32t"],"nesting_collection__deepest_nested_depth_isi":1,"_version_":1720955914385620992,"timestamp":"2022-01-03T17:37:35.216Z","score":0.00049999997},{"system_create_dtsi":"2022-01-01T20:39:32Z","system_modified_dtsi":"2022-01-01T20:48:34Z","has_model_ssim":["Medium"],"id":"dz010r54b","accessControl_ssim":["35231db9-ec5a-4ad3-b275-65d8bf884534"],"hasRelatedMediaFragment_ssim":["zp38wf041"],"hasRelatedImage_ssim":["zp38wf041"],"depositor_ssim":["brittobj@ucmail.uc.edu"],"depositor_tesim":["brittobj@ucmail.uc.edu"],"title_tesim":["Sisyphus"],"date_uploaded_dtsi":"2022-01-01T20:39:31Z","date_modified_dtsi":"2022-01-01T20:48:09Z","isPartOf_ssim":["admin_set/default"],"doi_tesim":["doi:10.7945/29sh-rs45"],"alternate_title_tesim":["Subterranean 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"],"license_tesim":["http://rightsstatements.org/vocab/InC/1.0/"],"date_created_tesim":["1983"],"thumbnail_path_ss":"/downloads/zp38wf041?file=thumbnail","suppressed_bsi":false,"actionable_workflow_roles_ssim":["admin_set/default-default-depositing"],"workflow_state_name_ssim":["deposited"],"member_ids_ssim":["pv63g1800","zp38wf041"],"file_set_ids_ssim":["pv63g1800","zp38wf041"],"visibility_ssi":"open","admin_set_tesim":["Default Admin 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