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6,025 results for “Science of science”
Trust-Building Mechanisms into Design Science Research Practices: An Examination of Contextual Facets and Perceived Utility
<p>This dataset provides the results and the instruments used for carrying out the research for Trust-Building Mechanisms into Design Science Research Practices: An Examination of Contextual Facets and Perceived Utility</p>
Open Science in Public Health in Africa: An Exploratory Investigation of the Barriers and Solutions Dataset
<p>Dataset for submitted publication</p>
Supplemental file for the submission to International Journal of Molecular Sciences
<p>This is the supplemental file for one manuscript that was submitted to International Journal of Molecular Sciences for considering potential publication.</p>
"Reading" people to learn about new science careers: the Human Library method
<p>The "human library" method is frequently used to establish open conversations with people one would not meet in their daily routine, and this is what makes it so interesting in the context of science education. The MULTIPLIERS project is exploring the method to promote meaningful interactions between students and stakeholders involved in socio-scientific issues, while also eliciting interest in future career paths in science.</p> <p>Take a look at the expert interviews recorded by our students during the MULTIPLIERS awareness-raising campaign on Antimicrobial Resistance in Nicosia, Cyprus!</p> <p>More about the project: https://multipliers-project.org/</p>
MULTIPLIERS project: Making school science relevant to real-world challenges
<p>MULTIPLIERS promotes Open Schooling across Europe, a new way to learn that makes science more meaningful and directly relevant to everyday life & real-world challenges.</p> <p>Find out more at: https://multipliers-project.org/</p> <p>Follow MULTIPLIERS on Twitter: https://twitter.com/MULTIPLIERS_</p> <p>Follow MULTIPLIERS on Instagram: https://www.instagram.com/multipliers_project/</p> <p>This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101006255.</p>
Results of the study "Uncertainties and discrepancies in the representation of recent storm surges in a non-tidal semi-enclosed basin: a hind-cast ensemble for the Baltic Sea" in Ocean Science
<p>This archive stores the main results, the main scripts, and the model code of the study:</p> <p>Lorenz, M. and Gräwe, U.: Uncertainties and discrepancies in the representation of recent storm surges in a non-tidal semi-enclosed basin: a hind-cast ensemble for the Baltic Sea, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-820, 2023.</p>
SI_II_6_Metabolomics, reverse chemical ecology and wood science an integrated approach to explore the chemical diversity and natural durability of the tropical tree Sextonia rubra (Mez.) van der Werff (Lauraceae)
<p>Ce document présente les données supplémentaires générées lors de l'étude de la composition chimique et de la durabilité des tissus d'un Sextonia rubra.</p>
Contributions of Lingnan Science Journal in Botany from 1922 to 1951
<p>...</p>
Portuguese citizen science and social media images of "Cortaderia Selloana"
<p>In the first dataset (Citizen_science_dataset), we compiled 2,273 images with <em>Cortaderia selloana</em> from the main Portuguese citizen science platform on invasive alien plants (<a href="https://invasoras.pt/">https://invasoras.pt/</a>) and iNaturalist (<a href="https://www.inaturalist.org/">https://www.inaturalist.org/</a>), from which only those containing the species with plumes (1,323) were retained. This set of 1,323 images was manually checked, and low resolution and blurred images were removed (resulting in 1,237 images). A similar number (1,237) of outdoor images without <em>Cortaderia selloana</em> (in similar context to the ones with <em>Cortaderia selloana</em>) was additionally collected from Flickr, resulting in a total of 2,474 images. </p> <p>The second dataset (Social_media_dataset) consists of publicly available images taken in Portugal from four social media platforms: Facebook (<a href="https://www.facebook.com/">https://www.facebook.com/</a>), Flickr (<a href="https://www.flickr.com/">https://www.flickr.com/</a>), Instagram (<a href="https://www.instagram.com/">https://www.instagram.com/</a>) and Twitter (<a href="https://twitter.com/">https://twitter.com/</a>). Image collection was done by searching for common names of <em>C. selloana</em> in Portuguese (e.g., “Erva das pampas”, “Capim das pampas”), as well as the scientific name of the species (i.e., “<em>Cortaderia selloana</em>”), resulting in a total of 400 images. We also collected the same number of outdoor images without the <em>C. selloana</em> from the same social media platforms). The final size of the transferability set was 800 images.</p>
UFES - Data Science - 1st assignment - 2023/2
<p>Dataset for the 2023/2 Data Science class at Universidade Federal do Espírito Santo (UFES). A subset of https://www.kaggle.com/datasets/nikhilnayak123/5-million-song-lyrics-dataset tailored for the class assignment.</p>
Arraylake: A Cloud-Native Data Lake Platform for Earth System Science
<p>The vast amount of earth system data available today is an incredible resource for understanding our planet and confronting the challenge of climate change. Traditionally, a few large organizations have provided most of the data, and users have downloaded data to local computers. This way of working is becoming increasingly infeasible as data volumes grow and as AI-based methods demand direct access to full-scale data archives. With essentially infinite compute and storage capacity, cloud computing has the potential to revolutionize our interaction with weather and climate data, allowing everyone to bring their own compute workloads to bear against a single shared copy of the data. Over the past years, via our work in the Pangeo project, we have prototyped a cloud-native approach to weather and climate data in the cloud, combining scalable computing technologies such as Xarray and Dask with analysis-ready, cloud-optimized data in formats like Zarr. While these tools show great potential, they remain difficult to deploy and use in an operational context for many scientists and institutions.</p> <p>Motivated by this challenge, we founded Earthmover, a company aimed at democratizing access to state-of-the-art cloud-native data analytics, and built Arraylake, a data platform which enables teams of any size to manage and analyze weather and climate data in the cloud. Arraylake users can access high-quality public datasets alongside their own private data, all via the high-performance Zarr data standard. This talk describes Arraylake’s architecture, novel version control system for data, and approach to supporting all common climate data formats (NetCDF, HDF5, Grib, Tiff, Zarr) via a single, user-friendly interface. Via a short demo, we illustrate how Arraylake helps overcome common data management challenges that have henceforth limited widespread adoption of cloud computing in earth system science.</p>
Analyzed data for Saleeb, R. et al. Science Advances. 2023.
<p>Dataset for Science Advances Publication - Two-color coincidence single-molecule pull-down for the specific detection of disease-associated protein aggregates.</p>
Components related to ethical decision making in medical science students: A structural equation model
Open the record for dataset details and reuse information.
DEEPICE Infographics about ice core science [English]
Open the record for dataset details and reuse information.
Au catalyzed energy release in a molecular solar thermal (MOST) system: A combined liquid-phase and surface science study
<p>Raw Data, evaluated files and a list of experiments is provided.</p>
Open access journals in the field of library and information sciences (LIS)
<p>List of foreign open access journals in the field of LIS is presented</p>
FIGURE 6 in Remarkable fly (Diptera) diversity in a patch of Costa Rican cloud forest: Why inventory is a vital science
FIGURE 6. Relationship between number of all species occurring at Zurquí (named and unnamed) and all named species from the Neotropical Region (not including Cecidomyiidae, with 800 species). Numbers of species from Pape and Thompson (2013) with some modifications by coauthors.
FIGURE 5 in Remarkable fly (Diptera) diversity in a patch of Costa Rican cloud forest: Why inventory is a vital science
FIGURE 5. Relationship between number of all species occurring at Zurquí (named and unnamed) and all named species from Colombia (not including Cecidomyiidae, with 800 species). Numbers of species from Wolff et al. (2016) with additions and minor modifications noted in text.
FIGURE 2 in Remarkable fly (Diptera) diversity in a patch of Costa Rican cloud forest: Why inventory is a vital science
FIGURE 2. Venn diagrams indicating number of species at Zurquí shared by each of Malaise traps #1 and #2 and all other methods combined, with the latter further separated into main elements (excluding Phoridae, other Malaise traps, flightintercept trap, Mercury vapour light; total of 3,487 species considered here). Total number for a given method underlined. Those not underlined are either unique or overlapping within that group of collecting methods.
FIGURE 1 in Remarkable fly (Diptera) diversity in a patch of Costa Rican cloud forest: Why inventory is a vital science
FIGURE 1. (A) Map of study site at Zurquí de Moravia, Costa Rica, with general features and primary collecting localities indicated (modified from Borkent & Brown 2015). Supplemental collecting indicating those areas where other collecting generally took place for three days of each month. (B) Map of Costa Rica showing location of the three collecting sites. San José indicated for reference.
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.