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6,025 results for “Science of science”
Importance of Data Science in Decision Making
<p>Data Science is a rapidly growing field of study that not only focuses on understanding the data but also, on predicting the future outcomes by the method of data gathering and data analysis. Usingstatistical methods to find patterns in data, we can turn an outcome in our favor by adjusting our actions and responses accordingly. In this paper, we investigate how decision-making process is leveraged with the help of data science in various fields and the ethical issues involved for the same. We also discuss how data science can foster better controlling, administering, regulating, directing and executing aspects of decision-making. This paper would ultimately serve as a reference material for individuals and organizations willing to understand the importance of data science in decision making process.</p> <p> </p>
Care to Share: Dataset and resources for Dutch National Open Science Festival hackathon
<p>This dataset contains the materials used in the session "Care to Share? Investigating Open Science practices adoption among researchers: a hackathon" presented at the Dutch National Open Science Festival on 22nd October 2024.</p> <p>The data files are derived from: Public Library of Science (2022) PLOS Open Science Indicators. Figshare. Dataset (version 8). https://doi.org/10.6084/m9.figshare.21687686 ad contains two additional fields (Dimensions_Country and Dimensions_FoR) from Dimensions obtained on 15 October 2024, from Digital Science’s Dimensions platform, available at https://app.dimensions.ai. </p> <h2>File list:</h2> <p><strong>PLOS-Dataset-for-Hackathon.xlsx</strong></p> <p>Data pertaining to the PLOS corpus of articles derived from Public Library of Science (2022) PLOS Open Science Indicators. Figshare. Dataset (version 8). https://doi.org/10.6084/m9.figshare.21687686 with additional data from Dimensions.ai. </p> <p><strong>Comparator-Dataset-for-Hackathon.xlsx</strong></p> <p>Data pertaining to the Comparator corpus of articles derived from Public Library of Science (2022) PLOS Open Science Indicators. Figshare. Dataset (version 8). https://doi.org/10.6084/m9.figshare.21687686 with additional data from Dimensions.ai.</p> <p><strong>Care to share resource sheet.pdf</strong></p> <p>Document outlining the questions to be investigated during the hackathon as well as key information about the dataset.</p> <p><strong>OSI-Column-Descriptions_v3_Dec23.pdf</strong><br>This file is taken from Public Library of Science (2022) PLOS Open Science Indicators. Figshare. Dataset (version 8). https://doi.org/10.6084/m9.figshare.21687686. It describes the fields used in the two data files with the exception of Dimensions_Country and Dimensions_FoR. Descriptions for these are listed in the README tabs of the data files.</p>
D4.5-Citizen science activities in CCLLs
<p>This document is a deliverable of the SCORE project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101003534. </p>
D4.6- Validation of citizen science data
<p>This document is a deliverable of the SCORE project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101003534. The aim of this document is to outline the dual objectives essential to the success of the SCORE project: first, providing an overview of the methods and practices for validating citizen science data, and second, integrating these validated datawith institutional monitoring systems. Validating citizen science data is crucial to ensuring the accuracy and reliability of information collected by non-professional volunteers. Once validated, this data can be integrated into institutional systems to enhance environmental monitoring, particularly in urban coastal areas where detailed and localised data can significantly improve monitoring capabilities and decision-making.</p>
How Do Clearly Defined Learning Goals Enhance Science Performance? An Investigation for Sustainable Education
Open the record for dataset details and reuse information.
Open Access Spiel "Skill It - Unlock Your Science!"
<p><strong><em>SKILL IT! – Unlock Your Science</em></strong> ist ein interaktives <strong>Pen&Paper-Game, </strong>das darauf abzielt, Kompetenzen im wissenschaftlichen Publizieren zu vermitteln. Der Schwerpunkt liegt auf Open Access und freien Lizenzen. Es richtet sich an ein breites Publikum, sowohl aus der Wissenschaft als auch an Interessierte ohne wissenschaftlichen Hintergrund. Das Spiel wurde im Rahmen der Langen Nacht der Wissenschaften 2022 entwickelt und eignet sich für 2 bis 6 Spieler. Die Spielzeit beträgt etwa 20 bis 30 Minuten.</p> <p>Ziel des Spiels ist es, die Teilnehmenden in die Rolle von Forschenden zu versetzen, die ihre wissenschaftlichen Ergebnisse veröffentlichen möchten. Die Spieler bewegen sich durch das Museum und sammeln in verschiedenen Stationen Wissen und Fähigkeiten, die sie im späteren Publikationsprozess erfolgreich anwenden. Der Spielablauf gliedert sich in zwei Phasen: eine „Skill-Phase”, in der Wissen & Informationen erworben wird, und einen „Publikationsprozess“, bei dem das erlernte Wissen auf die Probe gestellt wird. Würfelmechanismen und Entscheidungen beeinflussen den Spielverlauf, wobei verschiedene Fertigkeitsstufen den Erfolg im Publikationsprozess erhöhen können.</p> <p>Das Spiel bietet einen leichten Einstieg, benötigt wenig Vorbereitungszeit und wurde positiv getestet, insbesondere hinsichtlich der Vermittlung wissenschaftlicher Inhalte auf unterhaltsame Weise.</p> <p>Erstellt wurde das Konzept und die erste spielbare Version von Franziska Paech. Die grafische Umsetzung erfolgte durch Esra Woite am Museum für Naturkunde Berlin.</p> <p>Die weitere Überarbeitung und Anpassung der hier publizierten Version erfolgte durch die Koordinierungsstelle wissenschaftliches Publizieren am Museum für Naturkunde Berlin: Stefanie Paß & Clara Schindler.</p> <p>Alle hier publizierten Materialien unterliegen der Creative Common-Lizenz <a href="https://creativecommons.org/licenses/by/4.0/legalcode.de">CC-By 4.0 Namensnennung 4.0 International</a></p>
Dataset for: Country Image in Latin America: A Systematic Review of Research in Scopus, Web of Science, and SciELO
<p>Dataset for: Country Image in Latin America: A Systematic Review of Research in Scopus, Web of Science, and SciELO</p>
Analysis of Padlet in the educational process on the rock cycle through Data Science
<p><strong><span>Analysis of Padlet in the educational process on the rock cycle through Data Science</span></strong></p>
UOC Data Science M2.851.PR1 data set
<p>Dataset for testing</p> <p>Film Affinity Top Movies 2024</p>
Barna & Seville real state dataset for PRA1 'Tipología y ciclo de vida de los datos' of UOC's Data Science Master
<p>Dataset containing the results of a web scraping process done in the portal Fotocasa for the cities of Barcelona and Seville (Spain), compiled in october and november 2024. under the framework of the subject "<em>Tipología y ciclo de vida de los datos (M2.851)</em>" of the Data Science Master in Universitat Oberta de Catalunya.</p>
Data from: Bringing ecology blogging into the scientific fold: measuring reach and impact of science community blogs
The popularity of science blogging has increased in recent years, but the number of academic scientists who maintain regular blogs is limited. The role and impact of science communication blogs aimed at general audiences is often discussed, but the value of science community blogs aimed at the academic community has largely been overlooked. Here, we focus on our own experiences as bloggers to argue that science community blogs are valuable to the academic community. We use data from our own blogs (n = 7) to illustrate some of the factors influencing reach and impact of science community blogs. We then discuss the value of blogs as a standalone medium, where rapid communication of scholarly ideas, opinions, and short observational notes can enhance scientific discourse, and discussion of personal experiences can provide indirect mentorship for junior researchers and scientists from underrepresented groups. Finally, we argue that science community blogs can be treated as a primary source and provide some key points to consider when citing blogs in peer-reviewed literature.
Supplementary material 1 from: Assmann T, Boutaud E, Buse J, Drees C, Friedman A-L, Harry I, Khoury F, Orbach E, Renan I, Schmidt C, Schmidt K, Wrase DW, Zumstein P (2021) The ground beetle tribe Platynini Bonelli, 1810 (Coleoptera, Carabidae) in the southern Levant: dichotomous and interactive identification tools, ecological traits, and distribution. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 449-478. https://doi.org/10.3897/zookeys.1044.62615
Material examined: Records of the Platynini from the southern Levant hosted in studied collections (see for abbreviation: Materials and methods)
Supplementary material 2 from: Assmann T, Boutaud E, Buse J, Drees C, Friedman A-L, Harry I, Khoury F, Orbach E, Renan I, Schmidt C, Schmidt K, Wrase DW, Zumstein P (2021) The ground beetle tribe Platynini Bonelli, 1810 (Coleoptera, Carabidae) in the southern Levant: dichotomous and interactive identification tools, ecological traits, and distribution. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 449-478. https://doi.org/10.3897/zookeys.1044.62615
Single access identification key generated by Xper3, using weights of the characters and prioritization of characters with few states
Supplementary material 1 from: Maddison DR, Porch N (2021) A preliminary phylogeny and review of the genus Tasmanitachoides, with descriptions of two new species (Coleoptera, Carabidae, Bembidarenini). In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 153-196. https://doi.org/10.3897/zookeys.1044.62253
Mesquite NEXUS file containing the DNA sequence data and resulting phylogenetic trees from maximum likelihood analyses for Tasmanitachoides and other Bembidarenini
Supplementary material 2 from: Hayashi M, Sugiura S (2021) Shell-breaking predation on gastropods by Badister pictus (Coleoptera, Carabidae) with strikingly asymmetric mandibles. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 815-830. https://doi.org/10.3897/zookeys.1044.62293
Table S1. Results of a generalized linear mixed model for effects of shell size, operculum presence, and the interaction on predation by Badister pictus.
Data of publication "Cataluminescence in Er-substituted perovskites", Advanced Science, 2021
<p>data of Figs. 1, 2, 3, 5</p>
FIGURE 11–13 in Two Seira Lubbock 1869 (Collembola, Arthropleona, Entomobryidae) new to science, with remarkable secondary sexual characters
FIGURE 11–13. Seira mantis sp. n. 11, fourth antennal segment; 12, left eye patch; 13, Seira mantis sp. n., labial triangle, all labial setae M12, E, L12 feathered.
FIGURE 14 in Two Seira Lubbock 1869 (Collembola, Arthropleona, Entomobryidae) new to science, with remarkable secondary sexual characters
FIGURE 14. Seira mantis sp. n., tibio tarsal apex showing the tenent hairs, and foot complex; a — first foot complex; b — second foot complex; c — third foot complex.
FIGURE 9 in Two Seira Lubbock 1869 (Collembola, Arthropleona, Entomobryidae) new to science, with remarkable secondary sexual characters
FIGURE 9. Seira raptora sp. n. general chaetotaxy; a — meso and meta thoracic segments, and first abdominal segment, SEM 650x, bar 20µm; b — second abdominal segment, SEM 1000x, bar 20 m; c— third abdominal segment, SEM 950x, bar 10µm; d — fourth abdominal segment, SEM 500x, bar 100 m.
FIGURE 8. Macrochaetae distribution, a — S in Two Seira Lubbock 1869 (Collembola, Arthropleona, Entomobryidae) new to science, with remarkable secondary sexual characters
FIGURE 8. Macrochaetae distribution, a — S. raptora sp. n.; b — S. mantis sp. n. Schematic representation according to Christiansen and Bellinger (1998, 2000) modified from Jacquemart, 1974.
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.