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4,404 results for “digits”
Drone orthomosaic and digital elevation model of the Atanikerluk archaeological site in NW Greenland
<p>This dataset consists of a digital elevation model (DEM) and an orthomosaic of the Atanikerluk archaeological site (NKAH 1724), located on the Nuussuaq Peninsula in NW Greenland near the settlement of Saqqaq. The DEM and orthomosaic were produced from 612 aerial images that were acquired by a DJI Phantom 3 drone. The images were processed using Agisoft Metashape Professional (version 1.7.1) following protocols established by the United States Geological Survey (USGS) for drone surveys of coastal regions (Over et al., 2021). Five ground control points were distributed throughout the survey area. The drone survey of the Atanikerluk site was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, in affiliation with the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Proper archaeological permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provide an overview of the archaeological surveys conducted during the VIMOA project.</p> <p>Over et al. (2021) Processing Coastal Imagery With Agisoft Metashape Professional Edition, Version 1.6—Structure From Motion Workflow Documentation. USGS Open File Report 2021-1039. doi:10.3133/ofr20211039. <a href="https://pubs.er.usgs.gov/publication/ofr20211039">https://pubs.er.usgs.gov/publication/ofr20211039</a></p> <p>Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. Antiquity 94:e6 doi:10.15184/aqy.2019.230</p>
Data for Demonstration of quantum-digital payments
<p>Timetags that lead to coincidence count events in a 3ns window for Client and TTP.<br> For linear (commitment to M0) and diagonal (M1) basis.</p> <p>Format:<br> <uint8 c>\t<double t></p> <p>c: channel on timetagger<br> t: photon arrival time in ns</p> <p><br> TTP Channels:<br> 2: H<br> 3: V<br> 4: +<br> 5: -</p> <p>Client Channels:<br> 2: H / +<br> 4: V / -</p> <p>--------------<br> The files in folder "tagfile_example" are intended as input to the analysis scripts provided under DOI 10.5281/zenodo.7997961</p> <p> </p>
Interviews on the future of digital editing and publishing
<p>Transcriptions of 46 interviews with theorists and practitioners in the field of digital scholarly editing on topics relating to the future of digital scholarly editions</p>
Surface Survey and Legacy Data in the Upper Plain of the Heraion of Perachora: The Perachora Peninsula Archaeological Project 2020 [Digital Supplement with updated polygons from 2020]
<p><strong>The digital Supplement </strong>contains figures in original size (TIFF) & digital data (SHP, CSV). The data can be also found in the linked GitHub repository <a href="https://github.com/sdam-au/perachora-medit-arch/">https://github.com/sdam-au/perachora-medit-arch/</a>.</p> <p> </p> <p><strong>Abstract</strong></p> <p>The Perachora Peninsula Archaeological Project held its first season of intensive surface survey from 12 January to 2 February 2020, during which time we focused on the region called the Upper Plain, situated above the sanctuary of Hera, which was in use from the 8th to the 2nd century BC. The nature of this area has been disputed, with Humfry Payne seeing it as a substantial town, while Richard Tomlinson referred to it as “a sporadic scatter of structures.” In order to clarify the nature of the settlement we employed a two-pronged effort: first to verify and document the legacy data in Tomlinson’s plan of the area, and second to conduct intensive surface survey from the boundary of the sanctuary to Lake Vouliagmeni. Within three weeks, our teams measured, photographed, and took the coordinates of nearly all the structures on Tomlinson’s plan, which included domestic structures, a small temple, and an extensive waterworks system, and several that had not been previously recorded. Building A 1 and the Fountain House were cleared and recorded using photogrammetry. The survey’s finds informed our legacy data verification efforts. Densities across all land types were high: nearly 23,000 artefacts were counted, and all but nine survey units produced artefacts. A preliminary analysis of the ceramics indicates a consistent habitation from the Archaic through the Classical period. Concentrations of miniature votives and fine wares were also found on hillsides, possibly indicating open-air shrines. Our work also highlights the need to conserve the structures in the Upper Plain.</p>
Literature on effectiveness of digital learning environments for math in grades 4-10
<p>This table contains metadata on 139 papers which were included in a literature research regarding the effectiveness of digital learning environment for math in grades 4-10. The literature research had three branches: 1) meta-studies on digital learning environments for math in grades 4-10 (13), 2) effectiveness studies regarding popular digital math learning environments (87), and 3) other effectiveness studies for digital learning environments for math in grades 4-10 (identified via a SCOPUS search, 39).</p> <p>The results of each paper are sorted according to their relevance for four core system properties of digital learning environments, namely A) domain modelling/completeness of curriculum coverage, B) user interface/intelligent interaction tools, C) inner loop/micro-adaptivity, that is, strategies to support students in completing single learning tasks, and D) outer loop/macro-adaptivity, that is, strategies to support students in selecting the next learning task. Additionally, we considered E) the integration of the system with in-class teaching.</p> <p>Conflict of interest statement: The study was financed by bettermarks. bettermarks did not influence the text of the publication or the content of this data set.</p> <p>DE: Diese Tabelle enthält Metadaten für 139 wissenschaftliche Artikel, die im Rahmen der Literaturstude "Was wirkt? Eine Literaturstudie zur Wirksamkeit von Systemeigenschaften in Mathematik-Lernumgebungen" (DELFI, 2023) berücksichtigt wurden. Die Studie befasst sich mit der Effektivität von digitalen Mathematik-Lernumgebungen für die Mittelstufe. Die Suche gliederte sich in drei Zweige, nämlich 1) Metastudien über digitale Mathematik-Lernumgebungen in der Mittelstufe (13), 2) Lernwirksamkeitsstudien zu einzelnen, bekannten Lernumgebungen (87), 3) Weitere, einzelne Lernwirksamkeitsstudien zu digitalen Mathematik-Lernumgebungen in der Mittelstufe (über eine SCOPUS-Recherche, 39).</p> <p>Die Ergebnisse der Artikel wurden gegliedert nach vier zentralen Systemeigenschaften digitaler Mathematik-Lernumgebungen, nämlich A) Vollständigkeit der Lerninhalte (bzw. Domänen-Modellierung), B) Intelligente Interaktionswerkzeuge (bzw. user interface), C) Mikro-Adaptivität (bzw. die Unterstützung der Lernenden bei der Bearbeitung einzelner Lernaufgaben) und D) Makro-Adaptivität (bzw. die Unterstützung der Lernenden bei der Auswahl der nächsten Lernaufgabe). Zusätzlich wurde E) die Einbindung im Klassenverbund mit einbezogen.</p> <p>Interessenkonflikt-Angabe: Diese Studie wurde von bettermarks finanziert. Bettermarks hat den Text der Publikation oder den Inhalt dieser Tabelle nicht beeinflusst.</p>
Digital Humanities Retrieval Evaluation Dataset for Art, Architecture and Life Sciences (DHREAAL)
<p>This dataset, titled "Digital Humanities Retrieval Evaluation Dataset for Art, Architecture, and Life Sciences," emphasizes semantic retrieval, including ground truth data for both content-based and instance-based image retrieval. Utilized to compare various promising approaches and refine the evaluation method, this dataset serves as a precursor to a more extensive dataset. Additional details can be found in the dataset's related publication.</p> <p>Currently, the dataset is still under development. In its next iteration, the dataset will include options for retrieving image syntax and temporal aspects, in addition to the semantics.</p>
Infants on the Move: Bibliometric Analyses of Observational versus Digital Means of Screening Infant Development
<p>Datasets, High Resolution Images and Video tutorials for Bibliometric use on neonatal General Movements Assessment</p> <p>Neurodevelopmental disorder diagnoses have increased significantly over the years, though the average age of detection is 4.5 years old. This delay is partly due to reliance on social-communication criteria. These criteria require a level of maturation that takes much longer than scaffolding elements of neuromotor control. Early components of neurodevelopment include early evolution of reflexes, development of interactions between central pattern generators and cortical structures, maturation of intentional movements and their overall sensation. Such elements have been studied in General Movement Assessment (GMA) using observational means, but the last two decades have seen a surge in digital tools (biosensors, video-based pose estimation and algorithms) that permit non-invasive tracking of newborns’ movements. Despite their importance, these tools are not yet broadly used. In this work, using CiteSpace, VOSViewer and SciMAT software, we investigate the evolution of the literature on GMA and the methods in use today, to estimate how digital techniques are being adopted. To that end, we created maps of key word co-occurrence networks, co-author networks, document co-citation analysis and strategic diagrams of 295 publications based on a search in the Web of Science, Dimensions and SCOPUS databases for: ‘general movement assessment’ OR ‘general movements assessment’. The nodes on the maps were categorized by size, cluster groups and year of publication. We found that the state-of-the-art methodology to diagnose neurodevelopmental disorders still relies heavily on observation. Several groups in classical GMA research have branched out to incorporate new techniques, but few groups have adopted digital means. We report on additional analyses of methods and biosensors usage and propose that combining traditional clinical observation criteria with digital means may allow earlier diagnoses and interventional therapies for infants.</p>
Digitized geological and geophysical data from the Po Plain and the northern Adriatic Sea (north Italy) collected from public sources.
<p>The database is a supplementary material of:</p><p>Livani, M., Petracchini, L., Benetatos, C., Marzano, F., Billi, A., Carminati, E., Doglioni, C., Petricca, P., Maffucci, R., Codegone, G., Rocca, V., Antoncecchi, I. (2023). Subsurface geological and geophysical data from the Po Plain and the northern Adriatic Sea (north Italy). Earth System Science Data Discussions, 15, n. 9, 4261-4293, doi: 10.5194/essd-15-4261-2023</p><p> </p><p>This database comprises subsurface geological and geophysical data from the Po Plain and the northern Adriatic Sea (north Italy). We realized the database by collecting, revising, and digitizing data, originally in raster format, from public sources. These data have been then used to reconstruct the overall subsurface 3D architecture and to extract the physical properties of the subsurface geological units.</p><p>The data have a common geographical system: WGS 84/UTM zone 32N; EPSG: 32632.</p><p>The database contains borehole information from 160 deep wells (i.e., wellhead coordinates, rotary table elevation, measured depth, true depth, total depth and deviation survey) and digitized Spontaneous Potential, Gamma Ray, and Sonic logs. Five horizons were digitized from 61 geological cross-sections and from 10 isobath maps that roughly correspond to the boundaries of units showing different lithological properties and with different mechanical properties. The horizons are, from the oldest to the youngest: the top of the magnetic basement, the top of the carbonate succession, the base of the Pliocene, the base of the Calabrian and the base of recent continental deposits. In addition, the gridded surfaces of the 3D geological model are available.</p><p>We organized the database into two groups: "primitive data" and "derived data".</p><p>Primitive data are the result of the digitization of public data. The database of the primitive data is formed by the main horizons reported in the geological cross-sections, the isobaths of the main geological surfaces, the well locations, comprised their trajectory along depth, lithological and stratigraphical information, and geophysical logs from composite well logs. Well data include specific sets of well logs aimed to geological/mechanical characterization of the geological units (e.g., Spontaneous Potential log, Resistivity log, Gamma Ray log, and Sonic log).</p><p>Derived data consist of two datasets: i) the primitive isobaths maps and geological cross-sections data that have been filtered and verified after a data accuracy analysis performed to unravel discrepancies in the interpretation of the subsurface geological horizons; ii) a set of regional surfaces of the main geological units of the Po Plain subsurface. These surfaces were generated by interpolating the filtered primitive data and without considering the fault occurrence/displacements.</p><p>Primitive and derived data are provided in delimited text file format organized according to the data type (i.e., well, geological cross-section, map and gridded surface). The format and the organization of data are explained in the related "readme" file presents within each data folder.</p><p>Our database represents a collection of the main published works regarding the Po Plain. Detailed studies related to specific sectors of the Po Plain might not be present in our database.</p><p>Further details about the data processing and organization are given in the related manuscript.</p><p> </p>
Knowledge graphs for interoperable NFDI: Digital editions
<p>Präsentation im Rahmen des Text+ FAIR February Meetup 2023: <em>I wie Interoperability, </em>15. Februar 2023.</p>
WARLUX nodegoat database, on recruits of Schifflange/Luxembourg, Luxembourg Centre for Contemporary and Digital History/University of Luxembourg
<p> </p> <p><a href="https://www.c2dh.uni.lu/projects/warlux-soldiers-and-their-communities-wwii-impact-and-legacy-war-experiences-luxembourg">Project WARLUX - Soldiers and their communities in WWII: The impact and legacy of war experiences in Luxembourg</a> is a research project based at the <a>Luxembourg Centre for Contemporary and Digital History (C²DH)</a> (University of Luxembourg). The projects focuses on the war experiences of male Luxembourgers born between 1920 and 1927 who were recruited and conscripted into Nazi German services (<em>Reichsarbeitsdienst</em> (<em>RAD</em>) and <em>Wehrmacht</em>) under the Nazi occupation in Luxembourg during the Second World War. </p> <p><strong>Data Sample</strong></p> <p>While over 12,000 men and women were affected by the conscription, Project WARLUX focuses on a case study of 304 recruits from <em>Schifflange</em> and their families. In total, the data sample includes around 1200 persons, recruits and their family members. </p> <p><strong>Origin of the data </strong></p> <p>The dataset primarily consists of compiled archival documentation, including organizational and official documents, statistics, and standardized fiches and cards. These sources are primarily sourced from the Luxembourgish National Archives and other relevant repositories.</p> <p>In addition to basic information such as name, birth date, and residence, the (internal) dataset also incorporates military records sourced from German archives. Furthermore, supplementary information related to captivity, repatriation, and compensation was collected in the post-war period. The surveys and statistics conducted by the Luxembourgish state provide valuable insights into the experiences and trajectories of the war-affected generation.</p> <p>It is important to note that the dataset is a composite of multiple heterogeneous sources, reflecting its diverse origins. </p> <p><strong>Database</strong></p> <p>The researchers involved in the WARLUX project opted for the utilization of a relational database, <em><a href="https://nodegoat.net/">nodegoat.</a></em></p> <p>The WARLUX project adheres to an object-oriented approach, which is reflected in the core functionalities provided by <em>nodegoat</em>. Given the project's specific focus on the war experiences of recruited Luxembourgers within Nazi services such as the <em>Wehrmacht</em> and <em>RAD</em>, the included data model (warlux data model file) represents only a partial depiction of the comprehensive <em>nodegoat </em>environment employed in the WARLUX project. Within this data model, the interconnected objects and their respective sub-objects are presented, with particular emphasis placed on the individual profiles of recruits and their involvement in military service.</p> <p>As the data can not be published due to restriction, the team provides a pseudonymized dataset as an example of the data structure. </p> <p>The provided dataset shows the male recruits (and conscripts) of the Case Study <em>Schifflange</em> (born between 1920 and 1927). It includes</p> <ul> <li><em>nodegoat</em> ID</li> <li>their birthdate</li> <li>information on death if it occurred during the war</li> <li>whereabout after the war (unknown, missing, KIA, returned etc.)</li> </ul> <p>The dataset also includes references to their recruitment into </p> <ul> <li>the <em>Wehrmacht</em> and/or the <em>RAD</em> as well as their subsequent activities such as </li> <li>being captured as a Prisoner of War (POW)</li> <li>serving for the Allied Forces</li> <li>desertion, or </li> <li>draft evasion (<em>réfractaire</em>).</li> </ul> <p>The access to the WARLUX nodegoat database, on recruits of <em>Schifflange</em>/Luxembourg is restricted due to sensitive data. For further questions please contact <a href="mailto:warlux@uni.lu">warlux@uni.lu</a></p> <p>The project is funded by the Fond National de la Recherche Luxembourg <a href="https://www.fnr.lu/">(FNR)</a>.</p>
Colombia. Justicia. Acceso Digital a la Justicia. Histats. Municipio desde 2014
<p>Basado en los registros municipales de acceso al servicio de justicia mediante portales web del contador Histats y basado en la estimación poblacional se calcula para cada institución y mes: la proporción par cada mil habitantes que acceden al servicio web; también se calcula el acceso de visitantes dividido en la densidad poblacional visitantes* área(Km2)/población.</p>
Dataset on digital rural banking products
<p>The dataset consists of the attitudes of rural customers towards digital banking products. It explains how rural customers perceive the digital products of banking in the post-pandemic situation. It also explains how digital products create a greater impact during and after the COVID-19 pandemic among customers especially those who reside in rural areas.</p>
Paradigm Shifts in Environmental Policies: The Role of Digital Communication and Knowledge Exchange in the T20/G20 Transnational Policy Community
<p>Discussion:<br> Do you see paradigm shifts in environmental policies in Indonesia?<br> Can transnational research based policy advice, as performed by the T20, be an incubator for paradigm shifts?<br> What role does/could/should digital knowledge exchange play?</p>
Strain Evolution in 2D-Digital Composites-T= 1-15 time steps.
<p>Strain Evolution in 2D - Digital Composites for first 15 time steps.</p> <p>Abaqus simulation script can be found <a href="https://github.com/M3RG-IITD/StrainEvolution">here</a></p>
Impressions from the Field Research on the Potential Role of Digitalization in Curbing Food Waste and Loss (FWL)
<p>This is a dynamic, short video highlighting the PRODIGEES research secondment of Dr. Ariel Macaspac Hernandez. Dr. Hernandez seconded to Fundação Getúlio Vargas (FGV) in Rio de Janeiro, Brazil. The exchange lasted one month, but left Dr. Hernandez with enough time to deeply explore the potential role of digitalization in curbing food waste and loss (FWL) in multiple regions of Brazil.</p>
Digitized Watermarks in the Music Manuscripts of Franz Schubert
<p>The data set contains images taken via an infrared camera, so-called thermograms, of six music manuscripts by the composer Franz Schubert. The manuscripts themselves are kept in the music collection of the <a href="https://www.onb.ac.at">Austrian National Library</a> in Vienna: <a href="http://data.onb.ac.at/rec/AC13910894">Mus.Hs.19487</a>, <a href="http://data.onb.ac.at/rec/AC13910196">Mus.Hs.19488</a>, <a href="http://data.onb.ac.at/rec/AC13909250">Mus.Hs.19491</a>, <a href="http://data.onb.ac.at/rec/AC13909165">Mus.Hs.27666</a>, <a href="http://data.onb.ac.at/rec/AC13909150">Mus.Hs.41200</a> and <a href="http://data.onb.ac.at/rec/AC13909874">Mus.Hs.41542</a>. <br> Due to the large dimensions of the folios, two images per folio were usually made. These can be found in the subfolder “orig”. By stitching these pairs of images, the whole folios were digitally reassembled. These images are stored in the subfolder “comb”.</p>
Datensatz: Digital erschlossene NS-Arbeitsbücher (Laufzeit: 1935-1945) aus der "Waldwerke Passau GmbH" (1942-1945)
<p>Relationaler Datensatz mit strukturiert erfassten Daten (Personen, Beschäftigungen, Betriebe, Orte) aus 196 Arbeitsbüchern aus der Zeit des deutschen Nationalsozialismus. Die Arbeitsbücher (Ausstellungsdatum: 1935-1945) sind im Stadtarchiv Passau überliefert und gehörten Arbeiterinnen und Arbeitern, die am Ende des Zweiten Weltkrieges im Rüstungsbetrieb „Waldwerke GmbH Passau“ beschäftigt waren. Die Daten aus diesen seriellen Quellen ermöglichen die Untersuchung zahlreicher geschichtswissenschaftlicher Fragestellungen u.a. zu den Themen: Individuelle berufliche Laufbahnen, Branchen- und Beschäftigungsarten, berufliche Bildung, Arbeitsmobilität sowie Arbeitslenkung und Arbeitspolitik im Nationalsozialismus.</p> <p>Zur Entstehung des Datensatzes, zur Datenerfassung sowie zur Datenstruktur siehe die ausführliche Dokumentation, die dem Datensatz beigegeben ist ("Dokumentation.pdf"). Der Datensatz ergänzt den folgenden Aufsatz, der eine wissenschaftliche Auswertung der Daten in Bezug auf Betriebsnetzwerke, Arbeitspolitik und Arbeitsmobilität im Dritten Reich vorstellt:</p> <p><em>Alina Ostrowski, Jorit Hopp, Benjamin Seebröker, Lukas Bartl, Markus Gerstmeier, Heiko Brendel, Simon Donig</em> und <em>Malte Rehbein</em>: Arbeitsmigration in der süddeutschen NS-Kriegswirtschaft. Computergestützte Datenexploration mittels historischer Geoinformation und Netzwerkanalyse, in: Geschichte in Wissenschaft und Unterricht 74 H. 9/10 (2023), S. 550–570.</p>
TexBiG Dataset for Analysing Complex Document Layouts in the Digital Humanities
<p>This is the dataset for the paper "A Dataset for Analysing Complex Document Layouts in the Digital Humanities and its Evaluation with Krippendorff ’s Alpha" in its second version, containing an update of the test images (without annotations) from the paper "Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels". Organization of the dataset is also updated to make it easier to use.</p> <p>TexBiG (from the German Text-Bild-Gefüge, meaning Text-Image-Structure) is a document layout analysis dataset for historical documents in the late 19th and early 20th century. The dataset provides instance segmentation (bounding boxes and polygons/masks) annotations for 19 different classes with more then 52.000 instances. The added test images can be used to make submission on the leaderboard on <a href="https://eval.ai/web/challenges/challenge-page/2078/overview">EvalAI</a>. </p> <p>The <a href="https://zenodo.org/record/6885144/files/Annotations_Guideline.pdf?download=1">annotation guideline</a> can be found in the first of the dataset.</p>
Normalisation of Early Modern Science: Digitized Corpus of 17th- and 18th-Century Sources
<p>This dataset contains a digitized corpus of early modern natural philosophy works that underlie the European Research Commission-funded Starting Grant “The Normalisation of Natural Philosophy: How Teaching Practices Shaped the Evolution of Early Modern Science,” (grant agreement No. 801653 NaturalPhilosophy), led by Dr. Andrea Sangiacomo at the Faculty of Philosophy at the University of Groningen.</p> <p>The methodology we used for the digitization of the present dataset is described in the paper:</p> <ul> <li>A. Sangiacomo, H. Hogenbirk, R. Tanasescu, A. Karaisl, N White. 2022. “Reading in the Mist: High-Quality Optical Character Recognition Based on Early Modern Digitized Books.” <em>Digital Scholarship in the Humanities</em>. https://bit.ly/3vwvwKI</li> </ul> <p>The inventory of the present dataset is available at <a href="https://zenodo.org/record/5566681">DOI: 10.5281/zenodo.5566681</a></p> <p>The methodology behind the retrieval, cleaning, and annotation of the above inventory is described in the paper:</p> <ul> <li>Sangiacomo, Andrea; Tanasescu, Raluca; Donker, Silvia; Hogenbirk, Hugo. 2021. “Mapping the Evolution of Early Modern Natural Philosophy: Corpus Collection and Authority Acknowledgement,” published in the <em>Annals of Science</em> (DOI: 10.1080/00033790.2021.1992502; permanent link: <a href="https://doi.org/10.1080/00033790.2021.1992502">https://doi.org/10.1080/00033790.2021.1992502</a></li> </ul> <p>The dictionaries from which we selected the data in worksheets 2-5 in the inventory are the following:</p> <ul> <li>Wiep van Bunge, Henri Krop, Bart Leeuwenburgh, Paul Schuurman, Han van Ruler and Michiel Wielema, <em>Dictionary of Seventeenth- and Eighteenth-Century Dutch Philosophers</em> (London: Bloomsbury, 2003);</li> <li>John Yolton, Valdimir Price and John Stephens. <em>Dictionary of Eighteenth-Century British Philosophers</em> (London: Bloomsbury, 1999);</li> <li>Andrew Pyle. <em>Dictionary of Seventeenth-Century British Philosophers</em> (London: Bloomsbury, 2000);</li> <li>Luc Foisneau. <em>Dictionary of Seventeenth-Century French Philosophers</em> (London: Bloomsbury, 2008);</li> <li>Heiner F. Klemme and Manfred Kuehn. <em>Dictionary of Eighteenth-Century Philosophers</em> (London: Bloomsbury, 2011).</li> </ul> <p>University of Groningen Team:</p> <ul> <li>Andrea Sangiacomo (principal investigator)</li> <li>Raluca Tanasescu (postdoctoral researcher)</li> <li>Silvia Donker and Hugo Hogenbirk (PhD students)</li> <li>Cristian A. Marocico (scientific programmer, Center for Information Technology)</li> <li>Wim Breakman (bibliographer, University of Groningen Library)</li> </ul>
Digital Economy in Business and Economics Scopus Indexed Research (2013-2022)
<p>Dataset studied in research presented in EMBRI 2023 Conference Vilnius<br>(16th Annual EUROMED Academy) entitled</p><p>DIGITAL ECONOMY: LITERATURE ANALYSIS AND RECOMMENDATIONS FOR FUTURE RESEARCH DIRECTIONS</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.