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ShareScore release 0.9.0
Dataset results
37 results for “scientific papers”
Dataset of the paper titled Geological characteristics and high scientific interest targets of the Zhurong landing region on Mars
<p>This dataset contains the original data and crater counting data of the paper titled Geological characteristics and high scientific interest targets of the Zhurong landing region on Mars.</p>
DECISION Masterclass 2021 / How to write a good scientific paper (by Prof. Dr. Paolo Angeli)
<p>https://decision-for-liver.eu/</p> <p>The objective of the DECISION project is to enhance the understanding of the pathophysiology of decompensation of cirrhosis leading to acute-on-chronic liver failure (ACLF) or death. This consortium will take advantage of already existing large and clinically well-characterized cohorts to ultimately develop prognostic and response tests and combinatorial therapies tailored to the needs of individual patients to decrease the risk of short-term death. In this Masterclass, invited speaker Prof. Dr. Paolo Angeli, the current editor-in-chief of the Journal of Hepatology (https://www.journal-of-hepatology.eu/), teaches his approach to #writing a good #scientificpaper and #publication and submitting it to the appropriate #journal, a process that he compares to the challenge of winning a soccer game. While focussing on concrete advice, he also points out several common mistakes that less experienced authors make, some of which can be easily avoided. How? Watch the video! The Masterclass is part of the DECISION project's training programme for early-career scientists and took place on September 8th 2021 near Barcelona, Spain, during the 3rd General Assembly (GA) Meeting of the DECISION project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 847949. This video reflects only the presenter's view and the European Commission is not responsible for any use that may be made of the information it contains. Production & Subtitles: Dr. Nina Donner (concentris) https://concentris.de © 2021 DECISION</p>
Supplemental networks of cowords of the paper Measuring the impact of Big Data in the scientific research in Agriculture and allied fields
<p>Supplemental networks of cowords of the paper Measuring the impact of Big Data in the scientific research in Agriculture and allied fields.</p>
Specialized terminology limits the citability of scientific papers
<p><span>Words are the building blocks of communicating science. As our understanding of the world progresses, scientific disciplines naturally enrich their specialized vocabulary (jargon). However, in the era of interdisciplinarity, the use of jargon may hinder effective communication amongst scientists that do not share a common scientific background. The question of how jargon limits the transmission of scientific knowledge has long been debated but rarely addressed quantitatively. We explored the relationship between the use of jargon and citations, u</span>sing <span>21,486 articles focusing on </span>cave research, a multidisciplinary field particularly prone to terminological specialization, and where linguistic<span> disagreement among peers is frequent</span>. We demonstrate a significant negative relationship between the proportion of jargon words <span>in the title and abstract</span> and the number of citations a paper receives. Given that these elements are the hook to readers, we urge scientists to restrict jargon to sections of the paper where its use is unavoidable</p>
Artifact of the paper "An Empirical Investigation on the Challenges in Scientific Workflow Systems Development"
<p><strong><span>Scientific Workflow Systems (SWSs)</span></strong><span> play a critical role in the contemporary scientific landscape, significantly enriching research endeavors by augmenting productivity and fostering collaboration</span><span>, SWSs</span><span> elevate the standard of scholarly inquiry, fortifying its pillars of reproducibility and ethical adherence. Essentially, they </span><span>serve as</span><span> the bedrock upon which efficient, transparent, and impactful research </span><span>is built</span><span>, propelling knowledge and innovation across diverse fields. SWSs accomplish mundane yet essential tasks intrinsic to scientific inquiry—ranging from data acquisition to analysis and reporting. By liberating researchers from the shackles of manual labor, SWSs enable them to channel their energies toward more intellectually demanding pursuits, thereby enhancing the pace and quality of research outcomes. Moreover, SWSs wield a formidable influence in standardizing workflows across research cohorts, instilling a sense of uniformity in experimental methodologies and data-handling practices. This standardization not only cultivates a culture of rigor and coherence but also fosters cross-disciplinary dialogue and collaboration.</span></p> <p>Integral to the operation of SWSs is their capacity to integrate diverse tools, software, and data sources, effectively functioning as centralized hubs for research management. This integration expedites the research process and facilitates seamless data exchange and interoperability—a pivotal asset in an era characterized by the deluge of data and the imperative of interdisciplinary collaboration. Furthermore, SWSs afford researchers and project managers real-time insights into the progress of research endeavors, empowering them to identify bottlenecks, allocate resources judiciously, and optimize workflow execution. This granular oversight enhances project transparency and accountability and serves as a catalyst for informed decision-making.</p> <p>Crucially, SWSs are engineered to accommodate the complexities inherent in scientific inquiry, adeptly handling vast volumes of data and supporting parallel processing to meet the evolving demands of research projects. This scalability underscores their adaptability to diverse research paradigms, ensuring their relevance across a spectrum of scientific disciplines. Facilitating collaboration across geographic and temporal divides, SWSs offer a suite of collaborative features—including version control, shared workspaces, and communication tools—that transcend the constraints of physical proximity. By fostering a culture of inclusivity and knowledge exchange, SWSs catalyze innovation and synergy among distributed research teams.</p> <p>Moreover, SWSs serve as custodians of reproducibility, meticulously documenting each facet of the research workflow—from data sources to analysis methods—thus safeguarding the integrity of scientific inquiry. This commitment to transparency and methodological rigor underpins the credibility of research findings, engendering trust within the scientific community and beyond. The customizable nature of SWSs empowers research teams to tailor their workflows to suit their unique needs and preferences, further amplifying their utility and versatility. In essence, SWSs emerge not merely as tools of convenience but as indispensable allies in the relentless pursuit of scientific excellence.</p> <p>Numerous developers actively participate in the advancement of SWSs through diverse roles, including designing system architectures to ensure flexibility and performance, developing algorithms for data processing and analysis, crafting user-friendly interfaces, handling backend logic, integrating with external tools, and ensuring quality, security, and compliance. They address challenges such as optimizing performance and scalability by leveraging parallel processing and distributed computing techniques. To tackle these diverse tasks, developers encounter numerous challenges, often turning to crowd-sourced platforms like Stack Overflow and GitHub to discuss and address them. Stack Overflow serves as a vital resource for developers to seek solutions, learn new technologies, validate best practices, and engage with the programming community. Similarly, GitHub facilitates collaborative development by allowing developers to report problems, propose enhancements, and contribute to open-source projects. Our research draws insights from Stack Overflow discussions, GitHub issues, and pull request reports related to SWSs, reflecting the dynamic and collaborative nature of software development in this domain.</p>
Simulated forest data for a scientific paper
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Scientific papers assessing the role of bats as suppressors of agricultural pests
<p>This database is part of the supplementary material of the article entitled "<strong>Pest suppression by bats and management strategies to favour it: a global review</strong>", published in the journal Biological Reviews. It illustrates the articles assessing the role of bats in agriculture as suppressors of pests insects, located by the first literature search (LS1), and the main information extracted.</p> <p> </p> <p>Methodology: </p> <p>We conducted a first literature search (LS1) in ISI <em>Web of Science</em> of indexed articles and book chapters in English, using the following terms in the TOPIC field (searching both the title and the abstract): ‘agricultur*’, ‘pest’, ‘insect*’ and ‘bat*’ or ‘bats’. The search was performed by C. T.-C. in October 2022 obtaining 173 references, of which only 66 of were considered for the review after checking the whole text. We only included articles directly studying and assessing the effect of bats as pest controllers, either as direct predators of one or several pests (providing or not evidence of predation), evaluating their effect as top predators or quantifying economically their suppressive effect. We excluded any work that only mentioned the potential of bats as insect pest suppressors as an indirect topic of their research. For each of the included studies, we extracted information following a semi-structured questionnaire: (<em>i</em>) the year and country where the study was performed; (<em>ii</em>) the agroecosystem type studied; (<em>iii</em>) the insect pest species detected and the bat species on which the study was focused; (<em>iv</em>) whether predation of bats upon pest species was demonstrated; (<em>v</em>) whether the study demonstrated a top-down effect of bats on that agroecosystem; (<em>vi</em>) whether the benefits of bat ecosystem services were quantified economically, and what methods were used to estimate the economic value of bats as pest suppressors; and (<em>vii</em>) the conservation and management strategies proposed in the articles and their potential application.</p>
Specialized terminology limits the citability of scientific papers
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Figure 2 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 2 The current and required implementation readiness levels for DiSSCo to enter the construction phase of the DiSSCo RI. The grey arrows indicate the tasks for the DiSSCo Prepare project.
Figure 3 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 3 An example of a simple Digital Specimen (Hardisty 2020). Arrows point to identifiers of linked information that was derived from or is related to the physical specimen it represents. dissco.tech blog post.
Figure 4 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 4 The links and interactions between the EEA, ETCs (European Topic Centres), NFPs (National Focal Points), and NRCs (National Reference Centres) - image from EEA website*25.
Data from: Impact of lexical and sentiment factors on the popularity of scientific papers
We investigate how textual properties of scientific papers relate to the number of citations they receive. Our main finding is that correlations are nonlinear and affect differently the most cited and typical papers. For instance, we find that, in most journals, short titles correlate positively with citations only for the most cited papers, whereas for typical papers, the correlation is usually negative. Our analysis of six different factors, calculated both at the title and abstract level of 4.3 million papers in over 1500 journals, reveals the number of authors, and the length and complexity of the abstract, as having the strongest (positive) influence on the number of citations.
Blockchain and Its Application in the Peer Review of Scientific Papers: A Systematic Review
<p><span>Blockchain is a distributed ledger technology that ensures the security and transparency of data, guaranteeing that it cannot be altered. Its application in the peer review of scientific papers can contribute to improving the integrity, transparency, and efficiency of the process, mitigating issues of manipulation and fraud. This work analyzes the contributions of various research studies that address the use of blockchain technology in peer review. The study is a systematic literature review (SLR) in which the PRISMA methodology was applied. Fifty primary studies were identified through searches in databases such as Scopus, Science Direct, IEEE Xplore, and ACM. The analyzed research reveals innovative approaches, such as decentralized solutions, smart contracts, and token economy, to address challenges like biases, transparency, and speed in the review process. It is concluded that this technology can enhance the transparency and efficiency of peer review, and has the potential not only to overcome current limitations in peer review but also to redefine the structure and culture of scientific research.</span></p>
Data from: Impact of lexical and sentiment factors on the popularity of scientific papers
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Figure 1 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 1 The DiSSCo programme with all strategically aligned projects.
Supplementary materials of the paper entitled: "Metamorphic Testing Meets Regression Testing: A Case Study of Scientific Software Maintenance"
<p>Supplementary materials of the paper entitled: “Metamorphic Testing Meets Regression Testing: A Case Study of Scientific Software Maintenance”</p> <p>file01 - source code for detecting and comparing output relations of a given metamorphic relation<br> file02 - system script for compiling SWMM, creating sSWMM simulation outputs, and logging execution time<br> file03 - source code for SWMM 5.1.014<br> file04 - source code for SWMM 5.1.015<br> file05 - a suite of 40 regression tests (40 .inp files)<br> file06 - result table for 760 cases (19 MRs × 40 .inp files)<br> file07 - 491 automatically generated follow-up .inp files via reuse<br> file08 - result table for mutation analysis<br> file09 - source code for three open-source software systems<br> File10 - code change in three open-source software systems</p>
Data set - From plagiarism to scientific paper mills: a profile of retracted articles within the SciELO Brazil collection
<p>Data set - From plagiarism to scientific paper mills: a profile of retracted articles within the SciELO Brazil collection, published in Ethics & Behavior journal (<a href="https://doi.org/10.1080/10508422.2022.2141747">https://doi.org/10.1080/10508422.2022.2141747</a>)</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.