Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,404
datasets available to search
ShareScore release 0.9.0
Dataset results
4,404 results for “Digitization”
When Do Authoritarian Regimes Use Digital Technologies for Covert Repression? A Qualitative Comparative Analysis (QCA) of Politico-Economic Conditions
<p>This is a replication dataset together with the QCA script used for the analysis of the article "When Do Authoritarian Regimes Use Digital Technologies for Covert Repression? A Qualitative Comparative Analysis (QCA) of Politico-Economic Conditions" submitted to the Swiss Political Science Review in 2024, for the special issue "Re-Authoritarianisation with Digital Means? Recent Developments in Digital Politics in East Central Europe and Central Asia". The package contains the following elements:</p> <p>1) The original QCA dataset with references.</p> <p>2) The supplementary dataset with the calculations related to autocratic linkages.</p> <p>3) The R script used for the QCA.</p> <p> </p>
Supplementary material for: Calibrating coordinate system alignment in a scanning transmission electron microscope using a digital twin.
<h1>Calibrating coordinate system alignment in a scanning transmission electron microscope using a digital twin.</h1> <h2>Supplementary material</h2> <p>This deposition contains supplementary material for a paper on coordinate system calibration in 4D STEM. A preprint of the paper is available at <a href="https://arxiv.org/abs/2403.08538">https://arxiv.org/abs/2403.08538</a>.</p> <h2>Contents</h2> <div> <div><code>20221025_154811.zip</code>: Overfocused 4D STEM test dataset</div> <div> </div> <div><code>overfocus.sif</code>: Apptainer image with complete software stack. <code>apptainer run --writable overfocus.sif</code> to execute. It starts a Jupyterlab instance with two notebooks, one to genreate test data and the other to perform the interactive adjustment. This documents the software version that was used for the figures in the paper.</div> <div> </div> <div><code>requirements.txt</code>: Python package versions of dependencies in <code>overfocus.sif</code>. </div> <div> </div> <div><code>COM - Jupyter Notebook - Google Chrome 2023-01-25 12-40-07_processed.mp4</code>: Screen capture video with explanation of the first live calibration with an early prototype.</div> <div> </div> <div><code>video description.docx</code>: Explanation of the plots and adjustment process in the screen capture video.</div> <div> </div> <div><code>Microscope-Calibration.tar.gz</code>: Repository archive of the software and examples for calibration in the version used in the paper.</div> <div> </div> <div><code>TemGym.tar.gz</code>: Repository archive of TemGym Basic in the version used in the paper.</div> </div>
Fig.ç4.Ec hinoderes ohtsukai sp. nov., paratype, female (ZIHU 3983), scanning electron micrographs. A, Mouth cone, lateral view; B, introvert, lateral view. Abbreviations: oo, outer oral styles; sc, scalids; sp, spinoscalids; tr, trichoscalids. Digits a er the labels refer to introvert ring numbers. in A New Brackish-water Species of Echinoderes (Kinorhyncha: Cyclorhagida) from the Seto Inland Sea, Japan
Fig.ç4.Ec hinoderes ohtsukai sp. nov., paratype, female (ZIHU 3983), scanning electron micrographs. A, Mouth cone, lateral view; B, introvert, lateral view. Abbreviations: oo, outer oral styles; sc, scalids; sp, spinoscalids; tr, trichoscalids. Digits a er the labels refer to introvert ring numbers.
Accelerating Digital Skills for Music Researchers - Processing Text-Based Corpora for Musical Discourse Analysis - Episode 2
<p>Dataset containing three subgenre-specific .xlsx files for the exercises in Episode 2 of the <a href="https://acceleratingdigitalskills.github.io/Processing-Text-Based-Corpora/">Processing Text-Based Corpora for Musical Discourse Analysis</a> lesson of the <a href="https://acceleratingdigitalskills.org/">Accelerating Digital Skills for Music Researchers</a> project. The original data was collected from <a href="https://boomkat.com/">Boomkat.com</a> with permission.</p>
User participation in digital accessibility evaluations: reviewing methods and objectives
<p><span>Although laws and standardization bodies promote user participation in digital accessibility evaluations, people with disabilities still consider themselves excluded from this process. One reason could be the lack of systematized knowledge about evaluation methods involving users. This article seeks to understand how and for what purpose digital accessibility evaluations with user participation were conducted in the scientific literature from 2018 to 2021. Three types of user participation emerged: 1) user-based usability testing to evaluate task accomplishment, user reactions and interface qualities; 2) interviewing users to assess the local and social factors impacting digital service accessibility; 3) using questionnaires or crowdsourcing to check the compliance of certain interfaces with accessibility standards. Participants are primarily chosen based on their functional impairments and, to a lesser degree, their project-related skills, biographical information, technology habits, among other criteria. The comprehensive user insights gained with these methods are judged to be positive whereas the lack of representativeness of the selected user samples is found to be regrettable. The article finally discusses the definitions of accessibility and disability that underpin these methodologies.</span></p>
Dataset related to the publication "Accelerating Pinned Specimen Digitization: A Deep Learning Pipeline for Collaborative Robots"
<p>The dataset related to the publication "Accelerating Pinned Specimen Digitization: A Deep Learning Pipeline for Collaborative Robots". 250 training images and 50 annotated test images (YOLOv8 format).</p>
Mnemosine Digital Library Functionality
<p>Source: </p> <p><em><span><span> </span>Mnemosine </span></em><span>and <em>Clavy</em>: applications for the development of specific libraries for teaching and research. Office for the Transfer of Research Results (</span><span><a href="https://www.ucm.es/otri/complutransfer-mnemosine-y-clavy-aplicaciones-para-la-gestacion-de-bibliotecas-especificas-para-la-docencia-y-la-investigacion"><span>OTRI</span></a></span><span>) <a href="https://www.ucm.es/otri/complutransfer-mnemosine-y-clavy-aplicaciones-para-la-gestacion-de-bibliotecas-especificas-para-la-docencia-y-la-investigacion">https://www.ucm.es/otri/complutransfer-mnemosine-y-clavy-aplicaciones-para-la-gestacion-de-bibliotecas-especificas-para-la-docencia-y-la-investigacion</a></span></p>
Lernsituationen - digital
<p>In der dritten Veranstaltung der Ringvorlesung "Around the WÖRLD" des BMBF geförderten Projektes "WÖRLD - Wirtschaftspädagogik und Ökonomische Bildung: Lehrkräftebildung und Unterricht digital" stellen Prof. Dr. Karl Wilbers und Melanie Riedl von der Friedrich-Alexander-Universität Erlangen-Nürnberg ihre Arbeit zur Digitalisierung von Lernsituationen und greifen dabei auf verschiedene KI-Tools, Methoden und Medien zurück.</p>
Digital repository for: Large-scale forest disturbance and associated management shape bird communities in Central European spruce forests
<p>Repository containing R-script and data to reproduce analysis and main figures on the effect of large-scale forest disturbance and associated pre- and post-disturbance management on bird communities in the Harz Mountains, Germany.</p> <p>R-script includes:</p> <ul> <li>indicator species analysis (R package indicspecies; Cáceres & Legendre, 2009)</li> <li>non-metric multidimensional scaling (R package vegan; Oksanen et al., 2016)</li> <li>rarefaction- and extrapolation of Hill numbers (R package iNEXT; Hsieh et al., 2019)</li> <li>multi-species community distance sampling (R package sp Abundance; Doser et al., 2023)</li> </ul> <p>Attached files:</p> <ul> <li><strong>bird_data_Graser_et_al.csv </strong>(row data of bird species point counts per distance category)</li> <li><strong>bird_data_abundance_100_Graser_et_al.csv </strong>(abundance of species per sampling site, summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li><strong>siteCovs_Graser_et_al.csv</strong> (environmental variables for each sampling point)</li> <li><strong>A_species_matrix_100_new_Graser_et_al.csv</strong> (species-site matrix of <strong>bark-beetle disturbance, unlogged </strong>sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li><strong>B_species_matrix_100_new_Graser_et_al.csv </strong>(species-site matrix of <strong>windthrow disturbance, unlogged </strong>sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li><strong>C_species_matrix_100_new_Graser_et_al.csv </strong>(species-site matrix of <strong>bark-beetle/windthrow disturbance, underplanted, unlogged </strong>sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li><strong>D_species_matrix_100_new_Graser_et_al.csv </strong>(species-site matrix of <strong>bark-beetle /windthrow disturbance, salvage-unlogged </strong>sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li><strong>E_species_matrix_100_new_Graser_et_al.csv </strong>(species-site matrix of <strong>bark-beetle /windthrow disturbance, underplanted, salvage-unlogged </strong>sites for rarefaction and extrapolation, summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li><strong> F_species_matrix_100_new_Graser_et_al.cs</strong>v (species-site matrix of <strong>mature spruce plantation </strong>sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li><strong>msHDS_bird_data_management_model_Graser_et_al.rds</strong> (R-data set for multi-species community distance sampling of the effect of different pre- and post-disturbance management groups)</li> <li><strong>msHDS_bird_data_stand_age_model_Graser_et_al.rds </strong>(R-data set for multi-species community distance sampling of the effect of post-disturbance forest succession)</li> </ul> <p>A more detailed description of the data can be found in the README.txt document.</p> <p><span>References:</span></p> <p><span>Cáceres, M. D., & Legendre, P. (2009). </span><span>Associations between species and groups of sites: Indices and statistical inference. <em>Ecology</em>, <em>90</em>(12), 3566–3574. https://doi.org/10.1890/08-1823.1</span></p> <p><span>Doser, J. W., Finley, A. O., Kéry, M., & Zipkin, E. F. (2023). spAbundance: An R package for single‐species and multi‐species spatially explicit abundance models. <em>Methods in Ecology and Evolution</em>, <em>15</em>(6), 1024–1033. https://doi.org/10.1111/2041-210X.14332</span></p> <p><span>Hsieh, T. C., Ma, K. H., & Chao, A. (2019). <em>iNEXT-package: Interpolation and extrapolation for species diversity</em>. https://cran.r-project.org/web/packages/iNEXT/vignettes/Introduction.html</span></p> <p><span>Oksanen, J., Blanchet, F. G., Kindt, R., Legendre, P., O’hara, R. B., Simpson, G. L., Solymos, P., Stevens, M. H. H., Wagner, H., Minchin, P. R., Gavin, L., & Henry, H. (2016). Vegan: Community ecology package. R package version 1.17-4. <em>Http://CRAN. R-Project. </em></span><em><span>Org/Package=vegan</span></em><span>.</span></p> <p></p> <p></p>
PSM-AP Comparative document analysis data: Priorities and challenges in the policy and digital strategies of ten PSM
<p>The document consists of a list of 61 key policy and strategy documents analysed as part of the comparative work conducted in WP1 of the project Public Service Media in the Age of Platforms (PSM-AP). It also contains a series of selected quotes supporting the three key areas prioritised by the policies and PSM digital strategies: People (reaching audiences), Personalisation (developing the video-on-demand portal), and Prominence (of PSM services and content). The data was collected and analysed in 2023, from documents concerning 10 PSM organisations in seven media markets: Belgium-Flanders (VRT), Belgium-Wallonia Brussels (RTBF), Canada (CBC/Radio-Canada), Denmark (DR, TV 2) Italy (RAI), Poland (TVP), and the UK (BBC, Channel 4, ITV). All quotes were translated to English by the authors.</p>
CLDF dataset derived from the ECAI digitization of Wurm and Hattori's "Language Atlas of the Pacific Area" from 1981 and 1983
<p>Cite the source of the dataset as:</p> <blockquote> <p>Wurm, S. & Hattori, S. Language Atlas of the Pacific Area: New Guinea area, Oceania, Australia, vol. 66 of Pacific Linguistics: Series C (Canberra: Research School of Pacific and Asian Studies, Australian National University, Canberra, 1981). Wurm, S. & Hattori, S. Language Atlas of the Pacific Area: Japan area, Taiwan-Formosa, Philippines, Mainland and insular South-East Asia, vol. 67 of Pacific Linguistics: Series C (Canberra: Research School of Pacific and Asian Studies, Australian National University, Canberra, 1983). Registered scans and GIS dataset released by the Electronic Cultural Atlas Initiative (ECAI).</p> </blockquote>
African Red Slip Ware Digital (ARS3D) - Images (Features)
<p>Characteristic of the North African bowls, plates, and jugs are their pictorial decorations applied mainly by appliqués and stamps. As mass-produced image carriers and everyday objects, the ARS spread throughout the empire.</p> <p>The range of motifs includes mythological scenes as well as scenes from the Old and New Testament, circus, arena and hunting scenes as well as fish and plant motifs. The appliqués-decorated pottery thus provides insights into Late Antique imagination and its changes, as well as into the economic history of the period between the 3rd and 5th centuries AD in North Africa.</p> <p>Previous documentation methods were not able to capture the objects and their decoration in an adequate way. The digital recording of the RGZM's collections by 3D scans allows to compare potentially identical appliqués and to assign them to their negative forms and the corresponding stamps.</p> <p>Whereas vessel curvature previously falsified the assignment of appliqués and models, 3D analysis and visualisation tools now allow a comparison . Metadata created for each object increases the effectiveness and accuracy of determining image context and content. Issues related to the production of the ARS and the process flows within the workshops can be investigated through the analysis of the 3D data.</p>
African Red Slip Ware Digital (ARS3D) - Images (Objects)
<p>Characteristic of the North African bowls, plates, and jugs are their pictorial decorations applied mainly by appliqués and stamps. As mass-produced image carriers and everyday objects, the ARS spread throughout the empire.</p> <p>The range of motifs includes mythological scenes as well as scenes from the Old and New Testament, circus, arena and hunting scenes as well as fish and plant motifs. The appliqués-decorated pottery thus provides insights into Late Antique imagination and its changes, as well as into the economic history of the period between the 3rd and 5th centuries AD in North Africa.</p> <p>Previous documentation methods were not able to capture the objects and their decoration in an adequate way. The digital recording of the RGZM's collections by 3D scans allows to compare potentially identical appliqués and to assign them to their negative forms and the corresponding stamps.</p> <p>Whereas vessel curvature previously falsified the assignment of appliqués and models, 3D analysis and visualisation tools now allow a comparison . Metadata created for each object increases the effectiveness and accuracy of determining image context and content. Issues related to the production of the ARS and the process flows within the workshops can be investigated through the analysis of the 3D data.</p>
OMOP2OBO: Semantic Integration of Standardized Clinical Terminologies to Power Translational Digital Medicine Across Health Systems (Recorded Introduction)
<p>This entry contains the recorded introduction that was presented at the 2020 Observational Health Data Science Initiative Symposium (<a href="https://www.ohdsi.org/events/2020-ohdsi-symposium/">https://www.ohdsi.org/events/2020-ohdsi-symposium/</a>).</p>
Database of digital media publications on maternal (family) capital in Russia in 2006-2019
<p><strong>Abstract</strong></p> <p>The database contains data from publications of digital Russian-language media of the Russian Federation on the topic of maternity capital in the period from May 10, 2006 to June 30, 2019. The database includes uploading general data on publications on maternity capital in .xls formats (UTF-8 encoding) . Full texts of publications are presented in .xml format.</p> <p>A specialized request was generated for the aggregator of publications of Russian-language digital mass media <a href="https://vk.com/away.php?to=http%3A%2F%2Fpublic.ru&cc_key=">public.ru</a> . In total, the database consists of 457888 publications of 7665 publishing houses from 1251 settlements in Russia on the territory of 85 regions. The database includes information about the date, type, authors, publisher and place of publication (municipality, region of the publisher), as well as full texts of publications.</p> <p> </p> <p>Keywords: database, digital media, maternal (family) capital, central and municipal media, Russia</p> <p>JEL codes: J10, J13, Z18.</p> <p> </p> <p><strong>Data format and access:</strong></p> <p>The database consists of full-text publications of digital media on the topic of maternity capital. Materials in Russian have been published in federal, regional and local digital media. Publication period: May 10, 2006 to June 30, 2019.</p> <p>The database consists of 457888 publications of 7665 publishing houses from 1251 settlements in Russia on the territory of 85 regions. Presentation format .csv, .xml (full texts). The file "Matkap_SMI_17_11_2021.csv" contains processed information from the extended full-text sample by years (contained in the "XML.rar" archive). </p> <p>pubData - date of publication (format "YYYY-MM-DD")</p> <p>text - text from "description" in xml-files after lemmatization (removal of punctuation, lowercase and remove punctuation, spaces, numbers)</p> <p>source - name of the electronic edition</p> <p>place - town or city in Russia</p> <p>type - type of electronic edition (newspaper, magazine, TV program, internet resource)</p> <p>period - frequency of publication</p> <p>positive - the number of unique positive words from the RuSentiLex2017 dictionary</p> <p>negative - the number of unique negative words from the RuSentiLex2017 dictionary</p> <p>neutral - the number of unique neutral words from the RuSentiLex2017 dictionary</p> <p><strong>Data collection methodology: </strong></p> <p>The aggregator of publications of Russian-language digital mass media <a href="https://vk.com/away.php?to=http%3A%2F%2Fpublic.ru&cc_key=">public.ru was used</a>. The selection of publications was limited to the time period from May 10, 2006 (Russian President Vladimir Vladimirovich Putin first announced the maternity capital programme in his message to the Federal Assembly, as one of the mechanisms to stimulate fertility and overcome the demographic crisis) to June 30, 2019 (until this date, the programme allowed full uploading of media publications without losses during the period of uploading publications from 01.08.2021 to 15.08.2021).</p> <p>Key words used to select articles on maternity capital: “maternal capital”, “maternity capital”, “family capital”, “paternal capital”. The publication had to repeat at least two phrases from the request, while the distance between the phrases had to be no more than 4 sentences. This excluded publications in which the topic of maternity capital was mentioned incidentally, indirectly.</p> <p>Duplicate articles were removed from the database. Duplicates related to publications that included a full repetition of the text of the publication itself, the publishing house and the municipality (location) of the publishing house. Duplications (reprints) of articles in other publishing houses or in other regions were not excluded. </p> <p>After lemmatization of the text (as well as after reducing the text to lower case, removing unnecessary spaces, numbers and punctuation), according to the RuSentiLex2017 dictionary (Loukachevitch N., Levchik A. Creating a General Russian Sentiment Lexicon. In Proceedings of Language Resources and Evaluation Conference LREC-2016, 2016.) unique positive, negative and neutral words and phrases (variables) were counted. Repetitions of tonal words (stances) are <strong>not counted.</strong></p>
A 30-meter terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine
<p>This dataset contains the China terrace map at 30 m resolution in 2018. The map values and their corresponding classes are as follows:</p> <p><em>0: Non-terrace 1: Terrace 255: No data</em></p> <p>The 30 m China terrace map can also be viewed online at <a href="https://cbw.users.earthengine.app/view/chinaterracemap">https://cbw.users.earthengine.app/view/chinaterracemap</a></p> <p><strong>Citations:</strong></p> <p>When using this dataset, please cite both the dataset and the following data description article:</p> <p><em>Cao, B., Yu, L., Naipal, V., Ciais, P., Li, W., Zhao, Y., Wei, W., Chen, D., Liu, Z., and Gong, P.: A 30 m terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine, Earth Syst. Sci. Data, 13, 2437–2456, https://doi.org/10.5194/essd-13-2437-2021, 2021.</em></p> <p> </p>
Webinar: Can digital platforms be democratically regulated?
<p>(Originally published on YouTube on October 1, 2021: https://www.youtube.com/watch?v=TZuuAelRjyo)</p> <p>Big Data and Artificial Intelligence are part of a larger digital transformation. Today, the GAFA (Google, Apple, Facebook, Amazon) companies have gained dominance, not only in marketing and communication but also in other fields. Power asymmetries also have geostrategic implications in the rivalry between the United States and China. With data protection regulation, the European Union, Brasil, and other countries are pursuing a regulatory model in the digital realm. I will discuss the opportunities of this regulation for preserving privacy and democratic values in society.</p> <p>Ingrid Schneider is professor of political science in the center “Ethics in Information Technology” at University of Hamburg in Germany. With FGV, she is part of the EU-funded project PRODIGEES (Promoting Research on Digitalisation in Emerging Powers and Europe Towards Sustainable Development) which she will also present in her lecture. In 2022, she will be a guest researcher at FGV in Rio. <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbjlRbVhkVFdVa1c5RExpNkNzV2xhWFpna3Awd3xBQ3Jtc0tuT0NtUUpoSWhKWUhWRWZHMVFLZVBtdzdqYUgwaWk2UU5EV2RGODBmbFJRY214cUNZcVFNMXYwQklKRHpUVUdHOWJMQXdwRFNOemc5dUFYUUxXdTdZT1F4ZE1oRzFBZEQ4WGQxVEFZd3FWc3NXNk5mSQ&q=https%3A%2F%2Fblogs.die-gdi.de%2Flongform%2Fprodigees%2F">https://blogs.die-gdi.de/longform/pro...</a></p> <p>Website professor Schneider: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa0VMZlZnQUxRcnN1aWNoNnRDaVVVY2RKVlBUZ3xBQ3Jtc0trYlB2czNMTHozVl9VNEtMSE9pbUtBNy1ESmczcTZMNEluc3hLZ0oyeksyREtnQ2gtYWdFWUZvX3p4RVdXVmlQVThqRkRvOUJOSGdRQmpQTVhDWDRrTUlTTm9BSDdXemlWUXgxRzJkYnN2MUY1SWhUTQ&q=http%3A%2F%2Fuhh.de%2Finf-schneider">http://uhh.de/inf-schneider</a> </p> <p>Speakers: Ingrid Schneider - Prof. Dr. Universität Hamburg | Department of Informatics Ethics in Information Technology </p> <p>Moderator: Bernardo Fajardo - Coordenador da Graduação em Administação FGV EBAPE</p> <p>This was an event organized by FGV EBAPE on 10/01/2021</p>
Annotation dataset for the article titled "On the Emerging Supremacy of Structured Digital Data in Archaeology: A Preliminary Assessment of Information, Knowledge and Wisdom Left Behind"
<p>This is the resulting dataset from the text annotation exercise in the article titled "<strong>On the Emerging Supremacy of Structured Digital Data in Archaeology: A Preliminary Assessment of Information, Knowledge and Wisdom Left Behind</strong>" that will appear in the journal Open Archeology in a special issue titled Archaeological Practice on Shifting Grounds (edited by Åsa Berggren and Antonia Davidovic-Walther). The article is accepted for publication and the annotations are final. CIDOC CRM is used for text annotations.</p>
rmidura/emdigit: Early Modern Digital Itineraries: Itinerating Europe Article Appendix & Data
<p>This project combines history of the book with digital approaches to explore how a database of sixteenth- through eighteenth-century itineraries may reshape our understanding of historical travel and communication. Printed itinerary books provided early modern travelers with lists of cities along routes. Digital spatial approaches often rely upon modern mapmaking and its built-in assumptions of up-to-date accuracy, decentered viewpoint, stable place identifiers, and direct distances. The data provided has been hand-entered from over 80 multilingual, international itineraries published from the sixteenth through eighteenth centuries and formatted for relative ease of use with network and spatial analysis tools.</p> <p>The data provided here represents the stage of work at the time of publication of Rachel Midura, Itinerating Europe: Early Modern Spatial Networks in Printed Itineraries, 1545–1700, Journal of Social History, Volume 54, Issue 4, Summer 2021, Pages 1023–1063, <a href="https://doi.org/10.1093/jsh/shab011">https://doi.org/10.1093/jsh/shab011</a>. Drawing from the physical and digitized collections of European state libraries, the database includes more than three-quarters of identified itinerary authors (twenty-five of thirty-two) and nearly a third of identified surviving editions (84 of 299, see Appendix). The resulting database consists of 3,655 unique routes, connecting 1,587 cities, published and re-published over the course of two centuries.</p> <p>All titles featured in the appendix bibliography follow the format of a header ("Rome to Milan") followed by a list of intermediary cities. Narrative guidebooks are only included if they feature such route tables as a significant component.</p> <p>I distinguish between a "route," meaning an abstracted connection between an origin, a destination, and possible intermediaries ("Rome to Paris via Milan,") and an "edge," meaning a one-to-one relationship between locations ("Rome to Paris," "Rome to Milan," and "Milan to Paris."). Routes and edges both preserve the original directionality, distinguishing between "Rome to Paris," and "Paris to Rome," for example.</p> <p>This dataset consists solely of the route headers found across the included itineraries and not the intermediary stops within at the present time. Further detail can be found in the included data schema.</p>
Figure 1: Study area: A Digital Elevation Model of the North Island and the Manawatū-Whanganui dune field
<p>Figure 1 of article: Managing coastal sand drift in the Anthropocene: A case study of the Manawatū-Whanganui Dune Field, New Zealand, 1800s-2020s; authors: Sampath, Ruwan; Beattie, James; Freitas, Joana Gaspar; journal Environment & History [forthcoming]</p> <p>an article accepted in June 29, 2021</p> <p>https://zenodo.org/badge/DOI/10.5281/zenodo.5075980.svg</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.