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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Ong, Matthew;

    The dataset consists of a full morphosyntactic annotation of the normalized letter corpus of the State Archives of Assyria online (SAAo), plus associated metadata regarding sender, recipient, estimated date of composition, script, and dialect of Akkadian (if determinable). This corpus comprises ten of the twenty-one current volumes of SAAo and contains approximately 2600 letters from the royal archives of the late Neo-Assyrian kings. Each letter features morphosyntactic annotations specifying part of speech, lemma, morphological decomposition, and syntactic dependencies of all relevant tokens in the text. The annotations were made with the help of a spaCy language model with additional human checking and completion. The annotations are available both as a set of CONLLU files (one per text) and as linked open data in a single TTL file. The associated metadata is available as a CSV file and a TTL. Due to the letters' shared format, topics of concern, and historical period in which they were written, this corpus forms a natural object of study from a linguistic and social historical perspective. It is hoped this data will be of use to researchers wishing to do linguistic and sociolinguistic corpus research on these texts. 

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Chen, Xi; Samory, Mattia; Hale, Scott; Jurgens, David; +1 Authors

    This dataset contains the extended version of the authors' earlier work: https://zenodo.org/records/6507872, where pairs of news articles drawn from the first half of 2020 are annotated for seven aspects of similarity in the original version as well as an additional FRAME aspect: GEO: How similar is the geographic focus (places, cities, countries, etc.) of the two articles? ENT: How similar are the named entities (e.g., people, companies, organizations, products, named living beings), excluding previously considered locations appearing in the two articles? TIME Are the two articles relevant to similar time periods or describing similar time periods? NAR How similar are the narrative schemas presented in the two articles? OVERALL Overall, are the two articles covering the same substantive news story? (excluding style, framing, and tone) STYLE Do the articles have similar writing styles? TONE Do the articles have similar tones? FRAME Do the articles have similar framing and express similar opinions?

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sylvester, Zoltán; Straub, Kyle; Covault, Jacob;

    These visualizations were created with the Python module 'stratigraph', using a variety of stratigraphic datasets. They accompany the paper "Stratigraphy in space and time: A reproducible approach to analysis and visualization", by Zoltán Sylvester, Kyle M. Straub, and Jacob A. Covault, to be published in the journal 'Earth Science Reviews'. A brief description of the files follows. 'SM_1_Barrell_plot_original.mp4': Animation of Barrell's (1917) synthetic time-elevation curve (Barrell, J., 1917, Rhythms and the measurements of geologic time: Geological Society of America Bulletin, v. 28, p. 745–904, doi:10.1130/GSAB-28-745). 'SM_2_Wheeler_original_diagram.mp4': Animation of the geologic cross section and corresponding chronostratigraphic diagram published by Wheeler (1964) - see Wheeler, H.E. (1964). Baselevel, lithosphere surface, and time stratigraphy. Geological Society of America Bulletin, v. 75, p. 599–610. 'SM_3_meanderpy_model_plane_widget.mp4': Slicing through a three-dimensional chronostratigraphic diagram of a meandering river model; red colors represent erosion, blue colors deposition. The meandering river model was generated using 'meanderpy'. 'SM_4_erosional_surfaces_meandering_river.mp4': Erosional surfaces generated by a meandering river, colored by age (purple = older, yellow = younger). The meandering river model was generated using 'meanderpy' and it is the same model as the one above. 'SM_5_XES02_3D_cut_sides_1.mp4': Visualization of the XES-02 experiment through time. The experiment was conducted at St. Anthony Falls Laboratory, University of Minnesota. Layers are colored by water depth (not grain size). See the following reference for more details on this experiment: Martin, J., Paola, C., Abreu, V., Neal, J., and Sheets, B., 2009, Sequence stratigraphy of experimental strata under known conditions of differential subsidence and variable base level: AAPG Bulletin, v. 93, p. 503–533. 'SM_6_XES_02_dip_and_strike_sections.mp4': Dip- and strike sections of deposits of the XES-02 experiment through time. Layers are colored by water depth. Chronostratigraphic diagrams are shown in the bottom panels. 'SM_7_TDWB_17_Barrell_plots.mp4': Proximal- to distal time-elevation plots, generated from the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory. See the following paper for more details on the experiment: Straub, K.M., 2019, Morphodynamics and Stratigraphic Architecture of Shelf-Edge Deltas Subject to Constant vs. Dynamic Environmental Forcings: A Laboratory Study: Frontiers in Earth Science, v. 7, p. 121, doi:10.3389/feart.2019.00121. 'SM_8_TDWB_17_strike_sections_through_time.mp4': Strike sections through time, generated from the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory. Layers are colored by water depth. 'SM_9_TDWB_17_exploding_view.mp4': Taking apart and putting back together the deposits of the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory, along strike- and dip sections. Layers are colored by water depth.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Audiovisual . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Audiovisual . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Audiovisual . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Audiovisual . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Oke, Felix;

    This dataset contains TEI files of Emily Dickinson poems. For more information on the files, see the Emily Dickinson Archive website https://www.edickinson.org/

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Jaroslaw Szumega; Lamine Bougueroua; Blerina Gkotse; Pierre Jouvelot; +1 Authors

    We introduce the new comprehensive Open Review–Based dataset (ORB); it includes a curated list of more than 10,000 scientific papers with their more than 31,000 reviews and final decisions. We gather this information from two sources: the OpenReview.net and SciPost.org websites

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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    Authors: Lavin, Matthew;

    This dataset supports the research paper, ""Modular Bibliographical Profiling of Historic Book Reviews." The paper examines different methods of predicting bibliographical details (e.g. author, title, and publisher) of books under review in a corpus of approximately 1,100 historical book reviews. The dataset is comprised of book reviews from ProQuest's American Periodicals Series (APS). This kind of bibliographical profiling is often characterized as a Natural Language Processing (NLP) or Named Entity Recognition (NER) task, but it can be more specifically described as a two-part Named Entity Linking (NEL) task, beginning with a feature extraction stage followed by one of several available matching or classification methods. An attempt has been made to formalize constraints for modular bibliographical profiling (MBP) and shed light on some important choices that are often glossed over or obscured by digital humanities (DH) practitioners. Applying these constraints, the paper evaluates combinations of feature selection (naive bag-of-words [BOW], rule-based feature extraction, and NER using a pre-trained model) with a standardized similarity-based matching strategy (cosine similarity). All tasks are performed on derived text data (term frequency tables), so that data can be shared and all methods can be used on materials available only in non-consumptive formats. These comparisons suggest that naive BOW can perform quite robustly, and that using even a basic pretrained NER model in conjunction with a BOW approach may reduce false positives. 

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    ZENODO
    Dataset . 2023
    License: CC BY NC SA
    Data sources: ZENODO
    ZENODO
    Dataset . 2023
    License: CC BY NC SA
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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      ZENODO
      Dataset . 2023
      License: CC BY NC SA
      Data sources: ZENODO
      ZENODO
      Dataset . 2023
      License: CC BY NC SA
      Data sources: Datacite
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    Authors: Tom Elliott;

    Pleiades Datasets 3.2 (3 November 2023) This is a package of data derived from the Pleiades gazetteer of ancient places. It is used for archival and redistribution purposes and is likely to be less up-to-date than the live data at https://pleiades.stoa.org. We encourage use and citation of these numbered releases for scholarly work that will be published in static form. Updates and additions to published content of the Pleiades gazetteer of ancient places between 1 August 2023 and 3 November 2023 What's new since 3.1 (1 August 2023): 108 new and 1,629 updated place resources reflecting work by Erin Walcek Averett, Jeffrey Becker, Catherine Bouras, Anne Chen, Niels Christoffersen, Peter Cobb, Tom Elliott, Jonathan Fu, Greta Hawes, Carolin Johansson, Noah Kaye, Brady Kiesling, Thomas Landvatter, Stanisław Ludwiński, Ingrid Luo, Stephan Maurer, Colin McCaffrey, Gabriel McKee, David Meadows, Gabriel Moss, John Muccigrosso, Gifford Quinn, Rune Rattenborg, Enrico Regazzoni, Rosemary Selth, R. Scott Smith, Richard Talbert, Georgios Tsolakis, and Scott Vanderbilt (see data/changelogs/release.html for details). Included experimental JSON index of links extracted from Pleiades place resources to "toponym" entries in Veronique Chankowski et al. Chronique Des Fouilles En Ligne = Archaeology in Greece Online. Athens: Ecole française d'Athènes and British School at Athens, 2018, together with links to the associated Chronique archaeological reports. See data/indexes/pids2chronique.json. About Pleiades Pleiades is a community-built gazetteer and graph of ancient places. It publishes authoritative information about ancient places and spaces, providing unique services for finding, displaying, and reusing that information under open license. It publishes not just for individual human users, but also for search engines and for the widening array of computational research and visualization tools that support humanities teaching and research. Pleiades is a continuously published scholarly reference work for the 21st century. We embrace the new paradigm of citizen humanities, encouraging contributions from any knowledgeable person and doing so in a context of pervasive peer review. Pleiades welcomes your contribution, no matter how small, and we have a number of useful tasks suitable for volunteers of every interest. Credits Pleiades is brought to you by: Our volunteer content contributors (see data/rdf/authors.ttl for complete list and associated identifiers or data). Pleiades has received significant, periodic support from the National Endowment for the Humanities since 2006. Grant numbers: HK-230973-15, PA-51873-06, PX-50003-08, and PW-50557-10. Any views, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect those of the National Endowment for the Humanities. Additional support has been provided since 2000 by the Ancient World Mapping Center at the University of North Carolina at Chapel Hill. * Development hosting and other project incubation support was provided between 2000 and 2008 by Ross Scaife and the Stoa Consortium. Web hosting and additional support has been provided since 2008 by the Institute for the Study of the Ancient World at New York University.

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    Authors: Klehm, Carla Elizabeth;

    BlackMesa2022_BoulderExample_Metadata.txt Project Name: Black Mesa Skydio 2+ Tests Project Location: Oklahoma, US Project Dates: 26-27 October 2022 Black Mesa Skydio Tests evaluated the utility of the Skydio 2+, an entry-level RBG drone, for applications in data documentation for archaeology and related field-based sciences. The Skydio 2+ has the built-in capability for object avoidance (greater than 1.27 cm) and autonomous flight planning of a user-defined volumetric study area. The project focused on testing the Skydio 2+ for basic photogrammetric documentation in remote, vegetated, and GPS-denied environments, using documentation scenarios carried out in Black Mesa, Oklahoma. The Black Mesa case study focused on a set of remote rock art sites situated around Black Mesa, located in the far western edge of the panhandle of Oklahoma. The goals of the test flights were to: 1) explore hazardously located, hard-to-document features where sUAS photogrammetry would be challenging, if not impossible; 2) attempt sUAS photogrammetry where handheld photographs would be too time-intensive to be deployed, and/or the overall context would be lost; and 3) to create and execute mission plans in the field without additional data or prior knowledge of the areas. We designed flights and built models of petroglyphs (carved rock art) that are located on freestanding boulders, along cliff faces, and within shallow caves, to explore a variety of scenarios and environments. We also captured an archaeological site that was located on a distant, hard-to access cliff promontory to explore the capabilities for a more remote launch site, with both flight planning and data acquisition conducted from a distance. The Black Mesa case study used the Skydio 2+, with a Sony IMX577 1/2.3” 12.3MP CMOS camera and 3.7 mm lens. Flight planning was conducted using 3D Scan. All flights used 80% overlap, 70% sidelap, and the 3D Capture Scan Mode for their settings. Flights took place on October 26-27, 2022 between the morning and early evening, during light-to-moderate (<20 mph) wind conditions in which flying is feasible. Between five and seven pillars were set for each flight, with flight times ranging from 10-16 minutes in length. Imagery was processed using Agisoft Metashape Professional 1.8.0. Parameters for the depth map generation included selecting a high-quality model with a mild filtering mode, and 16 set for the max number of neighbors. The sparse point cloud was cleaned up and reprocessed to remove extraneous points before building the dense point cloud. This upload contains the photogrammetry raw data and processed outputs created during the Black Mesa project for one of the scenarios. The primary object of interest was a boulder, approximately 5.5 m in diameter and 3.2 m in height that contained petroglyphs. While the petroglyphs are located close to the ground and could be documented with handheld photogrammetry, a photogrammetric model of the boulder would be more time-intensive, with potential risk to equipment as it would be carried across rugged terrain. Further, a fixed-height aerial flight overhead would inadequately document the undercut sides of the boulder and combining a fixed-height survey with ground-based photogrammetry would, essentially, double the work. The boulder seemed is an ideal candidate for volumetric flight planning, where the object of interest should be well defined by the 3D Scan software. The geographical location of the boulder has been removed in both the raw and processed data in order to protect the petroglyphs from looting. As a result, scaling of the models will not reach the same accuracy as what is reported on with the initially processed data (with correct) geodetic location. However, the data included within here provides a reasonably replicable opportunity for researchers to evaluate the data themselves and with other or updated photogrammetric software. The original data, and the photogrammetric data associated with the other scenarios at Black Mesa, are available upon request from the Oklahoma Archaeological Survey, with whom the data is permanently housed. Related archived materials can be found at: 10.5281/zenodo.8381415 (data collection and processing reports) and 10.5281/zenodo.8381404 (additional images and videos from the project).

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    Authors: Klehm, Carla E.;

    Project Name: Black Mesa Skydio 2+ Tests Project Location: Oklahoma, US Project Dates: 26-27 October 2022 Black Mesa Skydio Tests evaluated the utility of the Skydio 2+, an entry-level RBG drone, for applications in data documentation for archaeology and related field-based sciences. The Skydio 2+ has the built-in capability for object avoidance (greater than 1.27 cm) and autonomous flight planning of a user-defined volumetric study area. The project focused on testing the Skydio 2+ for basic photogrammetric documentation in remote, vegetated, and GPS-denied environments, using documentation scenarios carried out in Black Mesa, Oklahoma. The Black Mesa case study focused on a set of remote rock art sites situated around Black Mesa, located in the far western edge of the panhandle of Oklahoma. The goals of the test flights were to: 1) explore hazardously located, hard-to-document features where sUAS photogrammetry would be challenging, if not impossible; 2) attempt sUAS photogrammetry where handheld photographs would be too time-intensive to be deployed, and/or the overall context would be lost; and 3) to create and execute mission plans in the field without additional data or prior knowledge of the areas. We designed flights and built models of petroglyphs (carved rock art) that are located on freestanding boulders, along cliff faces, and within shallow caves, to explore a variety of scenarios and environments. We also captured an archaeological site that was located on a distant, hard-to access cliff promontory to explore the capabilities for a more remote launch site, with both flight planning and data acquisition conducted from a distance. The Black Mesa case study used the Skydio 2+, with a Sony IMX577 1/2.3” 12.3MP CMOS camera and 3.7 mm lens. Flight planning was conducted using 3D Scan. All flights used 80% overlap, 70% sidelap, and the 3D Capture Scan Mode for their settings. Flights took place on October 26-27, 2022 between the morning and early evening, during light-to-moderate (<20 mph) wind conditions in which flying is feasible. Between five and seven pillars were set for each flight, with flight times ranging from 10-16 minutes in length. Imagery was processed using Agisoft Metashape Professional 1.8.0. Parameters for the depth map generation included selecting a high-quality model with a mild filtering mode, and 16 set for the max number of neighbors. The sparse point cloud was cleaned up and reprocessed to remove extraneous points before building the dense point cloud. Related archived materials can be found at: 10.5281/zenodo.8381415 (data collection and processing reports) and 10.5281/zenodo.8381408 (boulder images and products stripped of geolocation).

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    Authors: Klehm, Carla Elizabeth;

    Project Name: Black Mesa Skydio 2+ Tests Project Location: Oklahoma, US Project Dates: 26-27 October 2022 Black Mesa Skydio Tests evaluated the utility of the Skydio 2+, an entry-level RBG drone, for applications in data documentation for archaeology and related field-based sciences. The Skydio 2+ has the built-in capability for object avoidance (greater than 1.27 cm) and autonomous flight planning of a user-defined volumetric study area. The project focused on testing the Skydio 2+ for basic photogrammetric documentation in remote, vegetated, and GPS-denied environments, using documentation scenarios carried out in Black Mesa, Oklahoma. The Black Mesa case study focused on a set of remote rock art sites situated around Black Mesa, located in the far western edge of the panhandle of Oklahoma. The goals of the test flights were to: 1) explore hazardously located, hard-to-document features where sUAS photogrammetry would be challenging, if not impossible; 2) attempt sUAS photogrammetry where handheld photographs would be too time-intensive to be deployed, and/or the overall context would be lost; and 3) to create and execute mission plans in the field without additional data or prior knowledge of the areas. We designed flights and built models of petroglyphs (carved rock art) that are located on freestanding boulders, along cliff faces, and within shallow caves, to explore a variety of scenarios and environments. We also captured an archaeological site that was located on a distant, hard-to access cliff promontory to explore the capabilities for a more remote launch site, with both flight planning and data acquisition conducted from a distance. The Black Mesa case study used the Skydio 2+, with a Sony IMX577 1/2.3” 12.3MP CMOS camera and 3.7 mm lens. Flight planning was conducted using 3D Scan. All flights used 80% overlap, 70% sidelap, and the 3D Capture Scan Mode for their settings. Flights took place on October 26-27, 2022 between the morning and early evening, during light-to-moderate (<20 mph) wind conditions in which flying is feasible. Between five and seven pillars were set for each flight, with flight times ranging from 10-16 minutes in length. Imagery was processed using Agisoft Metashape Professional 1.8.0. Parameters for the depth map generation included selecting a high-quality model with a mild filtering mode, and 16 set for the max number of neighbors. The sparse point cloud was cleaned up and reprocessed to remove extraneous points before building the dense point cloud. Related archived materials can be found at 10.5281/zenodo.8381408 (boulder images and products stripped of geolocation data) and 10.5281/zenodo.8381404 (additional images and videos from the project).

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Ong, Matthew;

    The dataset consists of a full morphosyntactic annotation of the normalized letter corpus of the State Archives of Assyria online (SAAo), plus associated metadata regarding sender, recipient, estimated date of composition, script, and dialect of Akkadian (if determinable). This corpus comprises ten of the twenty-one current volumes of SAAo and contains approximately 2600 letters from the royal archives of the late Neo-Assyrian kings. Each letter features morphosyntactic annotations specifying part of speech, lemma, morphological decomposition, and syntactic dependencies of all relevant tokens in the text. The annotations were made with the help of a spaCy language model with additional human checking and completion. The annotations are available both as a set of CONLLU files (one per text) and as linked open data in a single TTL file. The associated metadata is available as a CSV file and a TTL. Due to the letters' shared format, topics of concern, and historical period in which they were written, this corpus forms a natural object of study from a linguistic and social historical perspective. It is hoped this data will be of use to researchers wishing to do linguistic and sociolinguistic corpus research on these texts. 

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    Authors: Chen, Xi; Samory, Mattia; Hale, Scott; Jurgens, David; +1 Authors

    This dataset contains the extended version of the authors' earlier work: https://zenodo.org/records/6507872, where pairs of news articles drawn from the first half of 2020 are annotated for seven aspects of similarity in the original version as well as an additional FRAME aspect: GEO: How similar is the geographic focus (places, cities, countries, etc.) of the two articles? ENT: How similar are the named entities (e.g., people, companies, organizations, products, named living beings), excluding previously considered locations appearing in the two articles? TIME Are the two articles relevant to similar time periods or describing similar time periods? NAR How similar are the narrative schemas presented in the two articles? OVERALL Overall, are the two articles covering the same substantive news story? (excluding style, framing, and tone) STYLE Do the articles have similar writing styles? TONE Do the articles have similar tones? FRAME Do the articles have similar framing and express similar opinions?

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    ZENODO
    Dataset . 2024
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    ZENODO
    Dataset . 2024
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
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    Authors: Sylvester, Zoltán; Straub, Kyle; Covault, Jacob;

    These visualizations were created with the Python module 'stratigraph', using a variety of stratigraphic datasets. They accompany the paper "Stratigraphy in space and time: A reproducible approach to analysis and visualization", by Zoltán Sylvester, Kyle M. Straub, and Jacob A. Covault, to be published in the journal 'Earth Science Reviews'. A brief description of the files follows. 'SM_1_Barrell_plot_original.mp4': Animation of Barrell's (1917) synthetic time-elevation curve (Barrell, J., 1917, Rhythms and the measurements of geologic time: Geological Society of America Bulletin, v. 28, p. 745–904, doi:10.1130/GSAB-28-745). 'SM_2_Wheeler_original_diagram.mp4': Animation of the geologic cross section and corresponding chronostratigraphic diagram published by Wheeler (1964) - see Wheeler, H.E. (1964). Baselevel, lithosphere surface, and time stratigraphy. Geological Society of America Bulletin, v. 75, p. 599–610. 'SM_3_meanderpy_model_plane_widget.mp4': Slicing through a three-dimensional chronostratigraphic diagram of a meandering river model; red colors represent erosion, blue colors deposition. The meandering river model was generated using 'meanderpy'. 'SM_4_erosional_surfaces_meandering_river.mp4': Erosional surfaces generated by a meandering river, colored by age (purple = older, yellow = younger). The meandering river model was generated using 'meanderpy' and it is the same model as the one above. 'SM_5_XES02_3D_cut_sides_1.mp4': Visualization of the XES-02 experiment through time. The experiment was conducted at St. Anthony Falls Laboratory, University of Minnesota. Layers are colored by water depth (not grain size). See the following reference for more details on this experiment: Martin, J., Paola, C., Abreu, V., Neal, J., and Sheets, B., 2009, Sequence stratigraphy of experimental strata under known conditions of differential subsidence and variable base level: AAPG Bulletin, v. 93, p. 503–533. 'SM_6_XES_02_dip_and_strike_sections.mp4': Dip- and strike sections of deposits of the XES-02 experiment through time. Layers are colored by water depth. Chronostratigraphic diagrams are shown in the bottom panels. 'SM_7_TDWB_17_Barrell_plots.mp4': Proximal- to distal time-elevation plots, generated from the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory. See the following paper for more details on the experiment: Straub, K.M., 2019, Morphodynamics and Stratigraphic Architecture of Shelf-Edge Deltas Subject to Constant vs. Dynamic Environmental Forcings: A Laboratory Study: Frontiers in Earth Science, v. 7, p. 121, doi:10.3389/feart.2019.00121. 'SM_8_TDWB_17_strike_sections_through_time.mp4': Strike sections through time, generated from the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory. Layers are colored by water depth. 'SM_9_TDWB_17_exploding_view.mp4': Taking apart and putting back together the deposits of the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory, along strike- and dip sections. Layers are colored by water depth.

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    ZENODO
    Audiovisual . 2024
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    Data sources: ZENODO
    ZENODO
    Audiovisual . 2024
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      ZENODO
      Audiovisual . 2024
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      ZENODO
      Audiovisual . 2024
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    Authors: Oke, Felix;

    This dataset contains TEI files of Emily Dickinson poems. For more information on the files, see the Emily Dickinson Archive website https://www.edickinson.org/

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    ZENODO
    Dataset . 2023
    License: CC BY
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    ZENODO
    Dataset . 2023
    License: CC BY
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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    Authors: Jaroslaw Szumega; Lamine Bougueroua; Blerina Gkotse; Pierre Jouvelot; +1 Authors

    We introduce the new comprehensive Open Review–Based dataset (ORB); it includes a curated list of more than 10,000 scientific papers with their more than 31,000 reviews and final decisions. We gather this information from two sources: the OpenReview.net and SciPost.org websites

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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    Authors: Lavin, Matthew;

    This dataset supports the research paper, ""Modular Bibliographical Profiling of Historic Book Reviews." The paper examines different methods of predicting bibliographical details (e.g. author, title, and publisher) of books under review in a corpus of approximately 1,100 historical book reviews. The dataset is comprised of book reviews from ProQuest's American Periodicals Series (APS). This kind of bibliographical profiling is often characterized as a Natural Language Processing (NLP) or Named Entity Recognition (NER) task, but it can be more specifically described as a two-part Named Entity Linking (NEL) task, beginning with a feature extraction stage followed by one of several available matching or classification methods. An attempt has been made to formalize constraints for modular bibliographical profiling (MBP) and shed light on some important choices that are often glossed over or obscured by digital humanities (DH) practitioners. Applying these constraints, the paper evaluates combinations of feature selection (naive bag-of-words [BOW], rule-based feature extraction, and NER using a pre-trained model) with a standardized similarity-based matching strategy (cosine similarity). All tasks are performed on derived text data (term frequency tables), so that data can be shared and all methods can be used on materials available only in non-consumptive formats. These comparisons suggest that naive BOW can perform quite robustly, and that using even a basic pretrained NER model in conjunction with a BOW approach may reduce false positives. 

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    ZENODO
    Dataset . 2023
    License: CC BY NC SA
    Data sources: ZENODO
    ZENODO
    Dataset . 2023
    License: CC BY NC SA
    Data sources: Datacite
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      ZENODO
      Dataset . 2023
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      ZENODO
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    Authors: Tom Elliott;

    Pleiades Datasets 3.2 (3 November 2023) This is a package of data derived from the Pleiades gazetteer of ancient places. It is used for archival and redistribution purposes and is likely to be less up-to-date than the live data at https://pleiades.stoa.org. We encourage use and citation of these numbered releases for scholarly work that will be published in static form. Updates and additions to published content of the Pleiades gazetteer of ancient places between 1 August 2023 and 3 November 2023 What's new since 3.1 (1 August 2023): 108 new and 1,629 updated place resources reflecting work by Erin Walcek Averett, Jeffrey Becker, Catherine Bouras, Anne Chen, Niels Christoffersen, Peter Cobb, Tom Elliott, Jonathan Fu, Greta Hawes, Carolin Johansson, Noah Kaye, Brady Kiesling, Thomas Landvatter, Stanisław Ludwiński, Ingrid Luo, Stephan Maurer, Colin McCaffrey, Gabriel McKee, David Meadows, Gabriel Moss, John Muccigrosso, Gifford Quinn, Rune Rattenborg, Enrico Regazzoni, Rosemary Selth, R. Scott Smith, Richard Talbert, Georgios Tsolakis, and Scott Vanderbilt (see data/changelogs/release.html for details). Included experimental JSON index of links extracted from Pleiades place resources to "toponym" entries in Veronique Chankowski et al. Chronique Des Fouilles En Ligne = Archaeology in Greece Online. Athens: Ecole française d'Athènes and British School at Athens, 2018, together with links to the associated Chronique archaeological reports. See data/indexes/pids2chronique.json. About Pleiades Pleiades is a community-built gazetteer and graph of ancient places. It publishes authoritative information about ancient places and spaces, providing unique services for finding, displaying, and reusing that information under open license. It publishes not just for individual human users, but also for search engines and for the widening array of computational research and visualization tools that support humanities teaching and research. Pleiades is a continuously published scholarly reference work for the 21st century. We embrace the new paradigm of citizen humanities, encouraging contributions from any knowledgeable person and doing so in a context of pervasive peer review. Pleiades welcomes your contribution, no matter how small, and we have a number of useful tasks suitable for volunteers of every interest. Credits Pleiades is brought to you by: Our volunteer content contributors (see data/rdf/authors.ttl for complete list and associated identifiers or data). Pleiades has received significant, periodic support from the National Endowment for the Humanities since 2006. Grant numbers: HK-230973-15, PA-51873-06, PX-50003-08, and PW-50557-10. Any views, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect those of the National Endowment for the Humanities. Additional support has been provided since 2000 by the Ancient World Mapping Center at the University of North Carolina at Chapel Hill. * Development hosting and other project incubation support was provided between 2000 and 2008 by Ross Scaife and the Stoa Consortium. Web hosting and additional support has been provided since 2008 by the Institute for the Study of the Ancient World at New York University.

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    ZENODO
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      ZENODO
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    Authors: Klehm, Carla Elizabeth;

    BlackMesa2022_BoulderExample_Metadata.txt Project Name: Black Mesa Skydio 2+ Tests Project Location: Oklahoma, US Project Dates: 26-27 October 2022 Black Mesa Skydio Tests evaluated the utility of the Skydio 2+, an entry-level RBG drone, for applications in data documentation for archaeology and related field-based sciences. The Skydio 2+ has the built-in capability for object avoidance (greater than 1.27 cm) and autonomous flight planning of a user-defined volumetric study area. The project focused on testing the Skydio 2+ for basic photogrammetric documentation in remote, vegetated, and GPS-denied environments, using documentation scenarios carried out in Black Mesa, Oklahoma. The Black Mesa case study focused on a set of remote rock art sites situated around Black Mesa, located in the far western edge of the panhandle of Oklahoma. The goals of the test flights were to: 1) explore hazardously located, hard-to-document features where sUAS photogrammetry would be challenging, if not impossible; 2) attempt sUAS photogrammetry where handheld photographs would be too time-intensive to be deployed, and/or the overall context would be lost; and 3) to create and execute mission plans in the field without additional data or prior knowledge of the areas. We designed flights and built models of petroglyphs (carved rock art) that are located on freestanding boulders, along cliff faces, and within shallow caves, to explore a variety of scenarios and environments. We also captured an archaeological site that was located on a distant, hard-to access cliff promontory to explore the capabilities for a more remote launch site, with both flight planning and data acquisition conducted from a distance. The Black Mesa case study used the Skydio 2+, with a Sony IMX577 1/2.3” 12.3MP CMOS camera and 3.7 mm lens. Flight planning was conducted using 3D Scan. All flights used 80% overlap, 70% sidelap, and the 3D Capture Scan Mode for their settings. Flights took place on October 26-27, 2022 between the morning and early evening, during light-to-moderate (<20 mph) wind conditions in which flying is feasible. Between five and seven pillars were set for each flight, with flight times ranging from 10-16 minutes in length. Imagery was processed using Agisoft Metashape Professional 1.8.0. Parameters for the depth map generation included selecting a high-quality model with a mild filtering mode, and 16 set for the max number of neighbors. The sparse point cloud was cleaned up and reprocessed to remove extraneous points before building the dense point cloud. This upload contains the photogrammetry raw data and processed outputs created during the Black Mesa project for one of the scenarios. The primary object of interest was a boulder, approximately 5.5 m in diameter and 3.2 m in height that contained petroglyphs. While the petroglyphs are located close to the ground and could be documented with handheld photogrammetry, a photogrammetric model of the boulder would be more time-intensive, with potential risk to equipment as it would be carried across rugged terrain. Further, a fixed-height aerial flight overhead would inadequately document the undercut sides of the boulder and combining a fixed-height survey with ground-based photogrammetry would, essentially, double the work. The boulder seemed is an ideal candidate for volumetric flight planning, where the object of interest should be well defined by the 3D Scan software. The geographical location of the boulder has been removed in both the raw and processed data in order to protect the petroglyphs from looting. As a result, scaling of the models will not reach the same accuracy as what is reported on with the initially processed data (with correct) geodetic location. However, the data included within here provides a reasonably replicable opportunity for researchers to evaluate the data themselves and with other or updated photogrammetric software. The original data, and the photogrammetric data associated with the other scenarios at Black Mesa, are available upon request from the Oklahoma Archaeological Survey, with whom the data is permanently housed. Related archived materials can be found at: 10.5281/zenodo.8381415 (data collection and processing reports) and 10.5281/zenodo.8381404 (additional images and videos from the project).

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    Authors: Klehm, Carla E.;

    Project Name: Black Mesa Skydio 2+ Tests Project Location: Oklahoma, US Project Dates: 26-27 October 2022 Black Mesa Skydio Tests evaluated the utility of the Skydio 2+, an entry-level RBG drone, for applications in data documentation for archaeology and related field-based sciences. The Skydio 2+ has the built-in capability for object avoidance (greater than 1.27 cm) and autonomous flight planning of a user-defined volumetric study area. The project focused on testing the Skydio 2+ for basic photogrammetric documentation in remote, vegetated, and GPS-denied environments, using documentation scenarios carried out in Black Mesa, Oklahoma. The Black Mesa case study focused on a set of remote rock art sites situated around Black Mesa, located in the far western edge of the panhandle of Oklahoma. The goals of the test flights were to: 1) explore hazardously located, hard-to-document features where sUAS photogrammetry would be challenging, if not impossible; 2) attempt sUAS photogrammetry where handheld photographs would be too time-intensive to be deployed, and/or the overall context would be lost; and 3) to create and execute mission plans in the field without additional data or prior knowledge of the areas. We designed flights and built models of petroglyphs (carved rock art) that are located on freestanding boulders, along cliff faces, and within shallow caves, to explore a variety of scenarios and environments. We also captured an archaeological site that was located on a distant, hard-to access cliff promontory to explore the capabilities for a more remote launch site, with both flight planning and data acquisition conducted from a distance. The Black Mesa case study used the Skydio 2+, with a Sony IMX577 1/2.3” 12.3MP CMOS camera and 3.7 mm lens. Flight planning was conducted using 3D Scan. All flights used 80% overlap, 70% sidelap, and the 3D Capture Scan Mode for their settings. Flights took place on October 26-27, 2022 between the morning and early evening, during light-to-moderate (<20 mph) wind conditions in which flying is feasible. Between five and seven pillars were set for each flight, with flight times ranging from 10-16 minutes in length. Imagery was processed using Agisoft Metashape Professional 1.8.0. Parameters for the depth map generation included selecting a high-quality model with a mild filtering mode, and 16 set for the max number of neighbors. The sparse point cloud was cleaned up and reprocessed to remove extraneous points before building the dense point cloud. Related archived materials can be found at: 10.5281/zenodo.8381415 (data collection and processing reports) and 10.5281/zenodo.8381408 (boulder images and products stripped of geolocation).

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    Authors: Klehm, Carla Elizabeth;

    Project Name: Black Mesa Skydio 2+ Tests Project Location: Oklahoma, US Project Dates: 26-27 October 2022 Black Mesa Skydio Tests evaluated the utility of the Skydio 2+, an entry-level RBG drone, for applications in data documentation for archaeology and related field-based sciences. The Skydio 2+ has the built-in capability for object avoidance (greater than 1.27 cm) and autonomous flight planning of a user-defined volumetric study area. The project focused on testing the Skydio 2+ for basic photogrammetric documentation in remote, vegetated, and GPS-denied environments, using documentation scenarios carried out in Black Mesa, Oklahoma. The Black Mesa case study focused on a set of remote rock art sites situated around Black Mesa, located in the far western edge of the panhandle of Oklahoma. The goals of the test flights were to: 1) explore hazardously located, hard-to-document features where sUAS photogrammetry would be challenging, if not impossible; 2) attempt sUAS photogrammetry where handheld photographs would be too time-intensive to be deployed, and/or the overall context would be lost; and 3) to create and execute mission plans in the field without additional data or prior knowledge of the areas. We designed flights and built models of petroglyphs (carved rock art) that are located on freestanding boulders, along cliff faces, and within shallow caves, to explore a variety of scenarios and environments. We also captured an archaeological site that was located on a distant, hard-to access cliff promontory to explore the capabilities for a more remote launch site, with both flight planning and data acquisition conducted from a distance. The Black Mesa case study used the Skydio 2+, with a Sony IMX577 1/2.3” 12.3MP CMOS camera and 3.7 mm lens. Flight planning was conducted using 3D Scan. All flights used 80% overlap, 70% sidelap, and the 3D Capture Scan Mode for their settings. Flights took place on October 26-27, 2022 between the morning and early evening, during light-to-moderate (<20 mph) wind conditions in which flying is feasible. Between five and seven pillars were set for each flight, with flight times ranging from 10-16 minutes in length. Imagery was processed using Agisoft Metashape Professional 1.8.0. Parameters for the depth map generation included selecting a high-quality model with a mild filtering mode, and 16 set for the max number of neighbors. The sparse point cloud was cleaned up and reprocessed to remove extraneous points before building the dense point cloud. Related archived materials can be found at 10.5281/zenodo.8381408 (boulder images and products stripped of geolocation data) and 10.5281/zenodo.8381404 (additional images and videos from the project).

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