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Over the recent years the importance of numerical experiments has gradually been more recognized. Nonetheless, sufficient documentation of how computational results have been obtained is often not available. Especially in the scientific…

Mathematical Software · Computer Science 2021-05-10 Jörg Fehr , Jan Heiland , Christian Himpe , Jens Saak

Spectroscopic information of hard-to-reach superheavy nuclei can be invaluable in understanding the dynamics of nuclear systems at large values of charge and volume. RIB factories of the next generation, such as FAIR, plan to provide heavy…

Nuclear Theory · Physics 2019-12-25 S. K. Peroulis , S. B. Bofos , T. J. Mertzimekis , A. Martinou , D. Bonatsos

The status of the global fits of nuclear parton distributions (nPDFs) is reviewed. In addition to comparing the contemporary analyses of nPDFs, difficulties and controversies posed by the neutrino-nucleus deeply inelastic scattering data is…

High Energy Physics - Phenomenology · Physics 2015-06-18 Hannu Paukkunen

We study nuclear effects in charged current deep inelastic neutrino-iron scattering in the frame-work of a chi^2 analysis of parton distribution functions. We extract a set of iron PDFs and show that under reasonable assumptions it is…

High Energy Physics - Phenomenology · Physics 2008-11-26 I. Schienbein , J. Y. Yu , C. Keppel , J. G. Morfin , Fredrick I. Olness , J. F. Owens

Modern tools for biological research, especially microscopy, have rapidly advanced in recent years, which has led to the generation of increasingly large amounts of data on a regular basis. The result is that scientists desperately need…

Other Quantitative Biology · Quantitative Biology 2021-08-18 Andrey Andreev , Tom Morrell , Kristin Briney , Sandra Gesing , Uri Manor

Leadership computing facilities around the world support cutting-edge scientific research across a broad spectrum of disciplines including understanding climate change, combating opioid addiction, or simulating the decay of a neutron. While…

High Energy Physics - Lattice · Physics 2020-04-16 Chia Cheng Chang , Christopher Körber , André Walker-Loud

The determination of the parton distribution functions (PDFs) is crucial for a complete understanding of the protons and neutrons that make most of the visible matter in the universe. Years of dedicated studies have yielded a quite precise…

High Energy Physics - Phenomenology · Physics 2018-10-02 Pia Zurita

Metadata of scientific articles such as title, abstract, keywords or index terms, body text, conclusion, reference and others play a decisive role in collecting, managing and storing academic data in scientific databases, academic journals…

Information Retrieval · Computer Science 2018-07-25 Jahongir Azimjonov , Jumabek Alikhanov

The NSDL (National Science Digital Library) is funded by the National Science Foundation to advance science and match education. The inital product was a metadata-based digital library providing search and access to distributed resources.…

Digital Libraries · Computer Science 2007-05-23 Carl Lagoze , Dean Krafft , Tim Cornwell , Dean Eckstrom , Susan Jesuroga , Chris Wilper

CERN's (European Organization for Nuclear Research) WISDOM project uses XML for the replication of data between different data repositories in a heterogeneous operating system environment. For exchanging data from Web-resident databases,…

Databases · Computer Science 2009-09-29 Uzair Ahmad , Mohammad Waseem Hassan , Arshad Ali , Richard McClatchey , Ian Willers

Neutrino Deep Inelastic Scattering on nuclei is an essential process to constrain the strange quark parton distribution functions in the proton. The critical component on the way to using the neutrino DIS data in a proton PDF analysis is…

High Energy Physics - Phenomenology · Physics 2011-07-18 K. Kovarik

Nanopublications are a concept to represent Linked Data in a granular and provenance-aware manner, which has been successfully applied to a number of scientific datasets. We demonstrated in previous work how we can establish reliable and…

Digital Libraries · Computer Science 2017-08-31 Tobias Kuhn , Egon Willighagen , Chris Evelo , Núria Queralt-Rosinach , Emilio Centeno , Laura I. Furlong

Computational research and data analytics increasingly relies on complex ecosystems of open source software (OSS) "libraries" -- curated collections of reusable code that programmers import to perform a specific task. Software documentation…

Computers and Society · Computer Science 2018-06-01 R. Stuart Geiger , Nelle Varoquaux , Charlotte Mazel-Cabasse , Chris Holdgraf

Official government publications are key sources for understanding the history of societies. Web publishing has fundamentally changed the scale and processes by which governments produce and disseminate information. Significantly, a range…

Digital Libraries · Computer Science 2021-12-07 Benjamin Charles Germain Lee , Trevor Owens

Information and data exchange is an important aspect of scientific progress. In computational materials science, a prerequisite for smooth data exchange is standardization, which means using agreed conventions for, e.g., units, zero base…

There is a high demand for nuclear data in multidisciplinary subject like nuclear astrophysics. The two areas of nuclear physics which are most clearly related to one another are stellar evolution and nucleosynthesis. The necessity for…

Nuclear Theory · Physics 2025-03-27 Vinay Singh , Debasis Bhowmick , D. N. Basu

We have developed the new Berkeley Evaluated Alpha and proton Radioactivity (BE$\alpha p$R) database detailing information on all known $\beta^{+}$-delayed and direct heavy-particle emitters (p, $\alpha$, cluster, fission). The compiled…

Nuclear Experiment · Physics 2026-05-20 J. C. Batchelder , A. M. Hurst

Radionuclide identification is a radioanalytical method employed in various scientific disciplines that utilize alpha-particle or gamma-ray spectrometric assays, ranging from astrophysics to nuclear medicine. Radionuclide libraries in…

Computational Engineering, Finance, and Science · Computer Science 2024-11-28 Jaewoong Jang

Nanopublications are a Linked Data format for scholarly data publishing that has received considerable uptake in the last few years. In contrast to the common Linked Data publishing practice, nanopublications work at the granular level of…

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