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103,300 Research products, page 1 of 10,330

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  • 2013-2022
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  • Open Access English

    Easy install and load key packages from the 'tesselle' suite in a single step. The 'tesselle' suite is a collection of packages for research and teaching in archaeology. These packages focus on quantitative analysis methods developed for archaeology. The 'tesselle' packages are designed to work seamlessly together and to complement general-purpose and other specialized statistical packages. These packages can be used to explore and analyze common data types in archaeology: count data, compositional data and chronological data. Learn more about 'tesselle' at . To cite package "tesselle" in publications use:

  • Open Access
    Authors: 
    Leaman, Robert;
    Publisher: Zenodo

    A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of SARS-CoV-2 infection. However, identifying scientific articles relevant to Long Covid is challenging since there is no standardized or consensus terminology. We developed an iterative human-in-the-loop machine learning framework combining data programming with active learning into a robust ensemble model, demonstrating higher specificity and considerably higher sensitivity than other methods. This dataset contains the source code (python and shell scripts) used to create the Long Covid collection, along with a snapshot of processed data and predictions. This research was supported by the Intramural Research Program of the National Library of Medicine, National Institutes of Health.

  • Open Access

    A toolkit for absolute and relative dating and analysis of chronological patterns. This package includes functions for chronological modeling and dating of archaeological assemblages from count data. It provides methods for matrix seriation. It also allows to compute time point estimates and density estimates of the occupation and duration of an archaeological site. To cite package "kairos" in publications use:

  • Open Access English
    Authors: 
    Berge, PS;
    Publisher: Zenodo

    A hosted version of this notebook is available on Google Colaboratory. It requires no coding to use. If downloaded, this notebook must be run in Google Colab! Link: darcmode.org/scraper The Disboard Scraper and Analysis Notebook is a research toolkit for Internet scholars interested in examining networks of Discord servers. It includes tools for collecting and analyzing data from Disboard.org. This is a Google Colaboratory version of the Modified Disboard Scraper, a fork of DisboardScraper by DiscordFederation. It is written in Python and Markdown. The Disboard Scraper and Analysis Notebook is maintained by the Discord Academic Research Community, a collective of Internet scholars interested in Discord research. {"references": ["Heslep, D. G., & Berge, P. (2021). Mapping Discord's darkside: Distributed hate networks on Disboard. New Media & Society, 14614448211062548. https://doi.org/10.1177/14614448211062548"]}

  • Open Access English
    Authors: 
    Frerebeau, Nicolas;
    Publisher: Zenodo

    An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). The package make it easy to visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams. To cite package "tabula" in publications use:

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Baroncini, Sofia; Sartini, Bruno; Daquino, Marilena;
    Publisher: Zenodo

    This folder contains the documentation of the study Do we all mean the same thing? (Un)Conventional usage of symbols in the Arts submitted to the Digital Humanities Conference (2023). It is constituted by 1) one Jupyter Notebook ("UnConventionalUsageSymbolsArts.ipynb") containing the analysis conducted, and 2) the data used for the analysis, namely an RDF dataset of art interpretations ("PanofskyOnlySymbSubgraphFinal.ttl") and JSON files of symbols and symbolic meanings extracted from the Knowledge Base HyperReal.

  • Open Access
    Authors: 
    Leal, Jorge N;
    Publisher: eScholarship, University of California
    Country: United States
  • Open Access
    Authors: 
    Geisler, Helena;
    Publisher: Zenodo

    This English questionnaire is based on the German version (Geisler 2022). The present questionnaire was used in 2020 to survey applicants for the bachelor's study program in fine arts at the German Art Academy "Hochschule für bildende Künste Hamburg" (HFBK). The questions focused on information about the application and application motivation, previous artistic experience and contacts in the art field. In combination with the questioning of socio-demographic variables, social inequalities in the application to study fine arts in Germany could be exemplarily researched. The first version of the German questionnaire was developed together with Doerte Hinrichsen and tested with cognitive pretests (Geisler and Hinrichsen 2021 (unpublished); Geisler 2021). The questionnaire construction was based on the questionnaires used in the survey of applicants at the Institute of Fine Arts at the Vienna Academy of Fine Arts “Akademie der bildenden Künste Wien” (Rothmüller 2010) and in the survey of graduates at the HFBK Hamburg (Lohmann and Peter 2020). Further development of the questionnaire, field pretest, implementation and evaluation of the survey took place in the context of the following master thesis: Geisler, Helena (2021): Rückenwind oder Gegenwind beim Zugang zum Kunststudium? Durchführung und Analyse einer Studienbewerber*innen-Befragung an der Hochschule für bildende Künste Hamburg. Master thesis accepted at the Faculty of Economics and Social Sciences and the Faculty of Education, University of Hamburg, Faculty of Economics and Social Sciences. https://katalogplus.sub.uni-hamburg.de/vufind/Record/1811938515?rank=1. This questionnaire is based on the questionnaire printed in the appendix of the master's thesis and is supplemented with references to the underlying questions of the surveys by (Rothmüller 2010) and (Lohmann and Peter 2020). For better clarity, the questions have been numbered.

  • Open Access English

    Datasets for teaching quantitative approaches and modeling in archaeology and paleontology. This package provides several types of data related to broad topics (cultural evolution, radiocarbon dating, paleoenvironments, etc.), which can be used to illustrate statistical methods in the classroom (multivariate data analysis, compositional data analysis, diversity measurement, etc.). To cite package "folio" in publications use:

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