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Appendix to 'Digital Marketing in Indian Pharmaceuticals: Strategies for Prescription Products Targeting Healthcare Professionals
<p>This appendix supplements the scoping review on digital marketing strategies in the Indian pharmaceutical industry from 2014 to 2024. It includes additional data, case studies, reference tables, and detailed analyses that support the main paper, providing further insights into the adoption and effectiveness of digital tools among healthcare professionals. The appendix also incorporates supplementary materials that expand on the use of AI, social media, omnichannel marketing, and key theoretical frameworks, such as the Unified Theory of Acceptance and Use of Technology (UTAUT) and Customer Journey Mapping (CJM), used in the main study.</p>
microCT dataset of digitized specimen - Neomicrorbis azoricus SMF 32979
<p>A specimen of <em>N. azoricus </em>from the Indian Ocean (SMF 32979) was scanned outside its tube, using a Werth Tomoscope® XS Plus 200 microCT (Giessen, Germany). The specimen had been fixed in formalin and subsequently preserved in 70% ethanol. Before undergoing microCT scanning, it was stained with a 0.3% phosphotungstic acid (PTA) solution in 70% ethanol for contrast enhancement. <br>The scanning parameters were as follows: SMF 32979 was scanned using a voltage of 140 kV, a generator current of 139 µA, and a generator power of 19.5 W. The exposure time was set at 500 ms across a total of 5655 projections, with 3 projections averaged to enhance image quality. This achieved a voxel resolution of 3.56 µm. Surface renderings of the specimens were created using Drishti v3.1 software (Australian National University, Canberra) (Limaye 2012). </p>
microCT dataset of digitized specimen - Neomicrorbis azoricus SMF32980
<p>A specimen of <em>N. azoricus </em>from the Northeast Atlantic Ocean, collected near the type locality (SMF 32980) was scanned using a Werth Tomoscope® XS Plus 200 microCT (Giessen, Germany). The specimen had been fixed in formalin and subsequently preserved in 70% ethanol. Before undergoing microCT scanning, it was stained with a 0.3% phosphotungstic acid (PTA) solution in 70% ethanol for contrast enhancement. <br>The scanning parameters were as follows: SMF 32980 was scanned using a voltage of 140 kV, a generator current of 139 µA, and a generator power of 19.5 W. The exposure time was set at 500 ms across a total of <span>5232</span> projections, with 3 projections averaged to enhance image quality. This achieved a voxel resolution of 3.56 µm. Surface renderings of the specimens were created using Drishti v3.1 software (Australian National University, Canberra) (Limaye 2012). </p>
Digital Scholarly Edition of the 1761 Library Catalogue of the Paderborn Capuchins
Open the record for dataset details and reuse information.
Utilizing Digital Information for Personalized Cholesterol Management
<p><span>Patients with diseases due to high cholesterol levels in Indonesia can be said to be high because, in 2022, sufferers of the disease reached 28%, with 7.9% of people dying. The problem in this study is the need for more understanding, awareness, and ability of the community to manage and maintain cholesterol through digital information, especially social media. This research uses a questionnaire to understand the community's needs and supporting factors in digitally managing cholesterol through social media. This research gathered data using purposive sampling through a Google Form questionnaire. The data collection was conducted in April 2024 in various cities in Indonesia and successfully collected 221 responses. The method used to analyze the data in this study is the Structural Equation Model (SEM) using Smart Partial Least Square (Smart-PLS) 4.0 as the analysis approach. In this study, there are ten variables with five indicators each, and there are 11 hypotheses. The outcomes of this study show that all of the indicators were valid and reliable, with all hypotheses having a significant effect. Indonesian people must be able to utilize digital information to increase knowledge and understanding about health, especially about Cholesterol Management, so that the number of people affected by disease and who die from cholesterol can be reduced.</span></p>
The dataset of "Evaluation of Digital Supply Chain Technology's Impact on Sustainability Under the Moderate Effect of Supply Chain Dynamism: An Empirical Research in the Chinese Energy Supply Chain"
<p>This dataset involves the data from the questionnaire, which come from the project "Evaluation of Digital Supply Chain Technology’s Impact on Sustainability Under the Moderate Effect of Supply Chain Dynamism: An Empirical Research in the Chinese Energy Supply Chain". It comprises three dimensions questions, technology, sustainability and supply chain dynamism. The datas come from two Chinese energy firms, <span>China Resources Power Zhejiang Company and Hunan HuaDian Changsha Electric Co., Ltd.</span></p>
TW Chirinda - Born Digital Items
<p>Picture 1: Revving Up in South Africa: Experiencing the thrill of horsepower and innovation at the Festival of Motoring—an unforgettable day for a car enthusiast.</p> <p>Picture 2: Across Borders: A special work trip with my dad, standing between Uganda and Kenya, where family and adventure meet on the road.</p>
Leveraging Digital Transformation for Effective Issue Management as a Strategy to Strengthen Corporate Image
<p>Leveraging Digital Transformation for Effective Issue Management as a Strategy to Strengthen Corporate Image by Wiwi Lestari, Adhi Murti, Nisrin Husna</p>
Analysis of the cognitive dimension of learning to learn competence through digital storytelling
<p>This record contains the responses of the survey associated to an investigation focused to analyze the cognitive dimension of learning to learn competence through digital storytelling in higher education. </p>
Data from: Nocturnal giants: evolution of the sensory ecology in elephant birds and other palaeognaths inferred from digital brain reconstructions
The recently-extinct Malagasy elephant birds (Palaeognathae, Aepyornithiformes) included the largest birds that ever lived. Elephant bird neuroanatomy is understudied but can shed light on the lifestyle of these enigmatic birds. Paleoneurological studies can provide clues to the ecologies and behaviors of extinct birds because avian brain shape is correlated with neurological function. We digitally reconstruct endocasts of two elephant bird species, Aepyornis maximus and A. hildebrandti, and compare them with representatives of all major extant and recently-extinct palaeognath lineages. Among palaeognaths, we find large olfactory bulbs in taxa generally occupying forested environments where visual cues used in foraging are likely to be limited. We detected variation in olfactory bulb size among elephant bird species, possibly indicating interspecific variation in habitat. Elephant birds exhibited extremely reduced optic lobes, a condition also observed in the nocturnal kiwi. Kiwi, the sister taxon of elephant birds, have effectively replaced their visual systems with hyperdeveloped olfactory, somatosensory and auditory systems useful for foraging. We interpret these results as evidence for nocturnality among elephant birds. Vision was likely deemphasized in the ancestor of elephant birds and kiwi. These results show a previously unreported trend toward decreased visual capacity apparently exclusive to flightless, nocturnal taxa endemic to predator-depauperate islands.
Mosaicked Digital Elevation Models over Nepal
<p>The DEMs in this dataset are generated by mosaicking four individual DEM tiles over the 2015 Nepal earthquake epicentral region. The mosaicked DEMs are available in the WGS84 vertical datum. The DEMs represent surface elevation before the occurrence of the 2015 earthquake event. The DEMs are used for topographic phase removal in the Differential InSAR studies.</p>
Panel: "Broken for All:: The case for persistent identifiers for digital cultural heritage resources AND Developer Track Session 2
<p>This video contains two sessions from Open Repositories 2021:</p> <p><strong>Panel: "Broken for All": the case for persistent identifiers for digital cultural heritage resources</strong><br> <em>Turner, Adrian (1); Holmes-Wong, Deborah (2); Rafique, Zahid (2); Kunze, John (1); Lohnash, Megan (3); McKinley, Matthew (4), Lund, <em>Allison</em> (5)</em><br> <em>1: California Digital Library; 2: University of Southern California Libraries; 3: California Revealed; 4: Omeka; 5: Metropolitan New York Library Council </em><br> Cultural heritage institutions within the United States have made significant investments in building unique digital collections, broadly disseminating them on the web and through networks such as the Digital Public Library of America (DPLA). The items within these collections are referenced and cited in a range of sources -- from Wikipedia and scholarly articles, to archival finding aids and classroom lesson plans. However, the application of persistent identifier schemes (e.g. DOI, ARK) for unique digital resources is relatively uncommon within the gallery, library, archive, and museum communities. Relatedly, many repositories and digital asset management systems (DAMS) widely used in these communities simply do not support persistent identifier schemes "out of the box." Hence, the URLs for the items are extremely fragile. If the collections are migrated to a different repository, the URLs can easily break -- impacting downstream networks, confounding researchers, and compounding the problem of link rot. This panel will discuss the critical role of persistent identifiers in digital collections management and dissemination and some of the challenges in applying them. It will feature case studies demonstrating how commonly-available licensed and open-source repositories can be adapted to support them.</p> <p><strong>Developer Track Session 2:</strong></p> <p><strong>Constructing a Repository Test Strategy Built on Docker Containers</strong><br> <em>Brady, Terrence W</em><br> <em>California Digital Library, United States of America</em><br> The Merritt Digital Preservation system comprises a dozen microservices and supporting services. Our team found that it was not cost effective to maintain and patch a fleet of servers to support a development environment. Our solution was to replace our development server environment with a stack of dockerized services. Once the stack was containerized, we discovered that we were able to create 3 variants of our development stack with different persistence strategies for database content and cloud storage. With these variants, the team has been able to support a variety of testing scenarios.<br> <br> <strong>Deploying a Serverless Application as a Docker Image</strong><br> <em>Brady, Terrence W</em><br> <em>California Digital Library, United States of America</em><br> A serverless application consists of a defined runtime (such as Ruby 2.7 or Python 3) and a package of code. This presentation will illustrate 3 types of code packages of different complexity and will describe the challenges of bundling more complicated dependencies such as binary files. In December 2020, the AWS Lambda serverless architecture began to support Docker images as a deployment package. This packaging approach makes it possible to run tests against a code package before it is deployed. This presentation will demonstrate the test and deployment process for a serverless application within the Merritt digital preservation system. Other repository teams hosting their applications on AWS may discover some useful patterns for testing and deploying serverless code to AWS Lambda.<br> <br> <strong>Live Demo: Create a Developer Workspace Challenge</strong><br> <em>Pottinger, Hardy Joseph</em><br> <em>California Digital Library, University of California, Office of the President, United States of America</em><br> Creating a developer workspace, a place in which you can write and test your code, can seem a daunting task. Sure, someone might have done it before, and they might even share their notes with you, but following those notes and arriving in the same place is like following a treasure map and expecting to get rich. There’s a better way, and I’m willing to prove it. This demo aims to show the process one goes through to craft a development environment with pretty much any tool, but will use Lando to conserve time. Lando is a way to bootstrap a useable development environment. It's built on Docker, and is like Docker-Compose, but much more transparent. It handles the boring details and helps you actually start developing with code in your favorite IDE, and all the services you need in Docker. It's all about making the life of a developer easier. It won't give you an application container you can deploy, but you will develop a deeper understanding of how all the pieces fit together, and you'll have a tool which can deploy those pieces to dev/stage/prod if you wish. The audience will participate in this demo.<br> <br> <strong>Building Scalable Serverless Digital Repositories using Amplify Open-source Framework</strong><br> <em>Chen, Yinlin; Jiang, Tingting; Hunter, Lee</em><br> <em>Virginia Tech, United States of America</em><br> We develop digital repositories to disseminate different types of digital content and to promote the principles of open access. Our goal is not to provide access to information to just one individual institution or group but to anyone and everyone. With that ambitious goal in mind, how do we enable our digital repositories to have the high availability and flexible scaling capabilities necessary to face unforeseen demand? How do we utilize only the resources we need without the waste of overprovisioning resources? These are some of the most challenging issues that we face. To achieve our goals, we moved from the traditional monolithic, server-based approach to serverless cloud infrastructure. By leveraging the services that AWS provides we have been able to boost the performance of our repositories 10x compared to that of our previous implementation that was hosted in-house. Our repositories now automatically scale up and down to meet any kind of traffic demands, without our intervention. In this talk, we will demonstrate our scalable serverless digital repositories and show the opportunities to explore and reflect on the ways that repositories enable openness for all.</p>
Soil Survey of Scotland Staff (1970-1987). Soil maps of Scotland (partial coverage) at a scale of 1:25 000. Digital phase 8 release.
<p>This is the digital dataset which was created by digitising the Soils of Scotland 1:25,000 Soil maps and the Soils of Scotland 1:25,000 Dyeline Masters. The Soils of Scotland 1:25,000 Soil maps were the source documents for the production of the Soils of Scotland 1:63,360 and 1:50,000 published map series. Where no 1:25,000 published maps exist 1:63,360 maps have been digitised for this data set, the field SOURCE_MAP describes the source of the data. The classification is based on Soil Associations, Soil Series and Phases which reflect parent material, major soil group, and soil sub-groups, drainage and (for phases), texture, stoniness, land use, rockiness, topography and organic matter. Phases are not always mapped. In general terms this dataset primarily covers the cultivated land of Scotland but also includes some upland areas. This data set is undergoing a phased revision, the latest (phase 8) was released in August 2021. The digitising of the recently added data was funded by the Rural & Environment Science & Analytical Services Division of the Scottish Government. The data can also be downloaded from or viewed at <a href="https://www.hutton.ac.uk/soil-maps/">https://www.hutton.ac.uk/soil-maps/ </a>or viewed at <a href="https://map.environment.gov.scot/Soil_maps/?layer=2">Scotland's Soils - soil maps (environment.gov.scot). </a> This map should be cited as: 'Soil Survey of Scotland Staff (1970-1987). Soil maps of Scotland (partial coverage) at a scale of 1:25 000. Digital phase 8 release. James Hutton Institute, Aberdeen. DOI 10.5281/zenodo.5159133.</p>
Comparison among three different Digital Surface Models and their respective hydraulic outcomes in the flood-prone urban area of Navaluenga (Ávila, Spain)
<p>Three different Digital Surface Models (DSMs) generated from LiDAR data are presented. The LiDAR information has been considered as raw data (DSM3) and subjected to some transformations to better represent the urban environment (DSM1). DSM2 is an intermediate state between DSM1 and DSM3. </p> <p>On the other hand, a hydraulic model has been run for each DSM and for two return periods (25 and 500 years), obtaining in all cases the graphical outputs of depths, velocities, Froude numbers and hazard. </p> <p>The different DSMs are named DSM1, DSM2 and DSM3, which can be downloaded in TIN format. The hydraulic outputs associated with the different DSMs can be downloaded in raster format and are named as follows: the Digital Surface Model to which it refers, the return period considered and the type of hydraulic output (depth, velocity, Froude number and hazard).</p> <p>DSM1: Digital Surface Model 1 (TIN format).<br> dsm1_25depth: Depths obtained by considering the DSM1 and the flow associated with the 25-years return period (raster format).<br> dsm1_25froud: Froude numbers obtained by considering the DSM1 and the flow associated with the 25-years return period (raster format).<br> dsm1_25haz: Hazard obtained by considering the DSM1 and the flow associated with the 25-years return period (raster format).<br> dsm1_25veloc: Velocities obtained by considering the DSM1 and the flow associated with the 25-years return period (raster format). <br> dsm1_500depth: Depths obtained when considering the DSM1 and the flow associated with the 500-years return period (raster format).<br> dsm1_500froud: Froude numbers obtained by considering the DSM1 and the flow associated with the 500-years return period (raster format).<br> dsm1_500haz: Hazard obtained by considering the DSM1 and the flow associated with the 500-years return period (raster format).<br> dsm1_500veloc: Velocities obtained by considering the DSM1 and the flow associated with the 500-years return period (raster format).</p> <p>DSM2: Digital Surface Model 2 (TIN format).<br> dsm2_25depth: Depths obtained by considering the DSM2 and the flow associated with the 25-years return period (raster format).<br> dsm2_25froud: Froude numbers obtained by considering the DSM2 and the flow associated with the 25-years return period (raster format).<br> dsm2_25haz: Hazard obtained by considering the DSM2 and the flow associated with the 25-years return period (raster format).<br> dsm2_25veloc: Velocities obtained by considering the DSM2 and the flow associated with the 25-years return period (raster format). <br> dsm2_500depth: Depths obtained by considering the DSM2 and the flow associated with the 500-years return period (raster format).<br> dsm2_500froud: Froude numbers obtained by considering the DSM2 and the flow associated with the 500-years return period (raster format).<br> dsm2_500haz: Hazard obtained by considering the DSM2 and the flow associated with the 500-years return period (raster format).<br> dsm2_500veloc: Velocities obtained by considering the DSM2 and the flow associated with the 500-years return period (raster format).</p> <p>DSM3: Digital Surface Model 2 (TIN format).<br> dsm3_25depth: Depths obtained by considering the DSM3 and the flow associated with the 25-years return period (raster format).<br> dsm3_25froud: Froude numbers obtained by considering the DSM3 and the flow associated with the 25-years return period (raster format).<br> dsm3_25haz: Hazard obtained by considering the DSM3 and the flow associated with the 25-years return period (raster format).<br> dsm3_25veloc: Velocities obtained by considering the DSM3 and the flow associated with the 25-years return period (raster format). <br> dsm3_500depth: Depths obtained by considering the DSM3 and the flow associated with the 500-years return period (raster format).<br> dsm3_500froud: Froude numbers obtained by considering the DSM3 and the flow associated with the 500-years return period (raster format).<br> dsm3_500haz: Hazard obtained by considering the DSM3 and the flow associated with the 500-years return period (raster format).<br> dsm3_500veloc: Velocities obtained by considering the DSM3 and the flow associated with the 500-years return period (raster format).</p>
FIGURE 36. Left digit 4 in Anatomy of Mahakala omnogovae (Theropoda: Dromaeosauridae), Tögrögiin Shiree, Mongolia
FIGURE 36. Left digit 4 pedal phalanges of Mahakala omnogovae (IGM 100/1033).
FIGURE 1 in Does The Ability Of Blattisocius Species To Prey On Mites And Insects Vary According To The Relative Length Of The Cheliceral Digits?
FIGURE 1: Chelicerae of Blattisocius keegani A – photo; B – line drawing and Blattisocius everti C – photo; D – line drawing; a – fixed digit; b – movable digit; bar = 20 µm.
Digital publishing of Indic manuscripts and inscriptions using the READ Workbench corpus development, research and publishing framework
<p>Paper presented on Friday 11 June 2021 at the Digital Medievalist Global Symposium <em>The past, present, and future of Digital Medieval Studies</em> for the Asia & Oceania Panel, in the session Reading Indic and Japanese scripts.</p> <p> </p>
Key elements of critical digital literacies from the perspective of school education - video of a paper presentation
<p>This is a video prepared for a paper presentation in the EARLI 2021 conference:</p> <p>Lakkala, M., Ilomäki, L., Kallunki, V., Gouseti, A., Mundy, D., Raffaghelli, J. E., Romero, M., Romeu, T., Ranieri, M., Bruni, I., & Roffi A. (2021). Key elements of critical digital literacies from the perspective of school education. Paper presented at the EARLI 2021 conference: Education and Citizenship - Learning and Instruction and the Shaping of Futures. University of Gothenburg, Gothenburg, Sweden, 23-27 August 2021.</p> <p>The research relates to the <a href="http://detectproject.eu/">DETECT project</a>. See also <a href="https://researchportal.helsinki.fi/fi/publications/key-elements-of-critical-digital-literacies-from-the-perspective-">https://researchportal.helsinki.fi/fi/publications/key-elements-of-critical-digital-literacies-from-the-perspective-</a></p> <p><strong>Acknowledgement</strong></p> <p>This project was funded by Erasmus+, KA2. Project Reference: 2019-1-UK01-KA201-061508.</p>
Guadiana river delta bathymetry surveys from 1944 to 1992 (digitalization)
<p>Digitalization of Guadiana river delta bathymetry.</p> <p>Data consists of vector points and lines (shapefile) with bathymetric values (z) as reference to Hydrographic Zero (Z.H.): 2 m bellow mean sea level, observed in Cascais tidal gauge, Portugal.</p> <p>It also has *.csv files (zxy) of the point data.</p> <p>Data was manually digitized from paper charts regarding the following surveys (month/year):</p> <p>?/1944; may, june/1958; june/1967; may, june/1969; march, april/1973; april/1977; july/1982; april, may/1986; april/ 1988; july/august/ 1992.</p> <p>Original map scale is 1:5000.</p> <p>Digitalization o paper charts produced 0.67 m x 0.65 m cell size raster files.</p> <p>All data is projected to ESPG: 3763 (ETRS89 / Portugal TM06).</p> <p>Surveys were originally performed by Portuguese hydrographic authorities:</p> <p>Brigada Hidrográfica 4; MOPTC - DSF - DCME</p> <p> </p>
Digital humanities semantic Notebook / video of the presentation
<p>After a theoretical introduction on the concepts of reproducible science and the Web of Data, we will present the methodology of scientific notebooks (e.g. Jupyter Notebooks). In this context, we will present a step-by-step approach to the creation of a scientific notebook in history: we will load a dataset from the Open Data of the institute and then apply filters and calculations on the data. A presentation and analysis layer with graphics will complete our research product with enrichments from external data and vocabularies from the Semantic Web. This will make our output reproducible and documented with text enriched with semantic schemas (schema.org) and disambiguation authorities (GND, dpPedia, Wikidata...), data sources and computer code. The presentation does not require advanced technical knowledge. It is aimed at beginners. The technical demonstration, in the second part, is deliberately simple in content and will be commented on as it goes along.</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.