130,488 research outputs found
Database: THEMIS magnetopause crossings between 2007 and mid-2022
No full textDatabase of THEMIS observations of magnetopause crossings created for and used in:
Grimmich, N., Plaschke, F., Archer, M. O., Heyner, D., Mieth, J. Z. D., Nakamura, R., & Sibeck, D. G. (2023). Study of extreme magnetopause distortions under varying solar wind conditions.
Journal of Geophysical Research: Space Physics, 128, e2023JA031603. https://doi.org/10.1029/2023JA031603.
See section 3 of that publication for a detailed description of the identification process.
For further questions, please contact the corresponding author at [email protected]
Solar wind observations from BepiColombo MPO-MAG during Dec 2021
No full text
This dataset contains unreleased data from the BepiColombo mission for the periods 2021-12-06 to 2021-12-07 and 2021-12-24 to 2021-12-26 during the cruise phase to Mercury. In particular, it contains magnetic field observations from the MPO-MAG instrument (Heyner et al. 2021).
****************IMPORTANT NOTE****************
These data have not been released yet to the Planetary Science Archive (PSA). As consequence, they may still suffer some changes due to future calibrations before they are released to the PSA.
Therefore, we strongly encourage all the users to contact the following people before using this dataset.
- Dr Beatriz Sánchez-Cano, University of Leicester, BepiColombo Guest Investigator, [email protected]
- Dr Daniel Heyner, TU Braunschweig, Principal Investigator of MPO-MAG, [email protected]
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File description:
It contains derived data from the outbound sensor. These files have 5 columns with the following information:
1 -Data time
2 - Total magnetic field
3 - B_r component of the Magnetic Field
4 - B_t component of the Magnetic Field
5 - B_n component of the Magnetic Field
Reference:
D. Heyner et al.,(2021), The BepiColombo Planetary Magnetometer MPO-MAG: What can we Learn From the Hermean Magnetic Field? Space Sci Rev, 217, 52. https://doi.org/10.1007/s11214-021-00822-x
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MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Solar wind observations from BepiColombo MPO-MAG and BERM during Nov-Dec 2020
No full textThis dataset contains unreleased data from the BepiColombo mission for the period 2020-11-27 to 2020-12-15 during the cruise phase to Mercury. In particular, it contains magnetic field observations from the MPO-MAG instrument (Heyner et al. 2021), and energetic particles from the BERM instrument (Pinto et al. 2022).****************IMPORTANT NOTE****************These data have not been released yet to the Planetary Science Archive (PSA). As consequence, they may still suffer some changes due to future calibrations before they are released to the PSA. Therefore, we strongly encourage all the users to contact the following people before using this dataset.-Dr Beatriz Sánchez-Cano, University of Leicester, BepiColombo Guest Investigator, [email protected] Daniel Heyner, TU Braunschweig, Principal Investigator of MPO-MAG, [email protected] Richard Moissl, European Space Agency, Principal Investigator of BERM, [email protected]*********************************************************File descriptions:-MPO-MAG file, named: “MPO-MAG_Nov2020.txt”It contains derived data from the outbound sensor. The file has 7 columns with the following information:1-Time (YYYY-MM-DD HH:MM:SS)2-Total magnetic field in nT.3-Radial component of the magnetic field (Br) in nT and in RTN coordinates.4-Tangential component of the magnetic field (Bt) in nT and in RTN coordinates.5-Normal component of the magnetic field (Bn) in nT and in RTN coordinates.6-Cone angle (theta) of the magnetic field in degrees.7-Clock angle (phi) of the magnetic field in degrees.-BERM file, named: “BERM_Nov2020.txt”It contains uncalibrated “raw” counts. A calibration is currently being performed. The file has 7 columns with the following information:All channel units are "counts".1- Time (DD-MM-YYYY HH:MM:SS)2- All particles3- E1 4- E2 5- E3 6- E47- E5 8- P19- P210- P311- P412- P513- P614- P715- P816- H117- H218- H319- H420- H521- O1References:•D. Heyner et al.,(2021), The BepiColombo Planetary Magnetometer MPO-MAG: What can we Learn From the Hermean Magnetic Field? Space Sci Rev, 217, 52. https://doi.org/10.1007/s11214-021-00822-x •M. Pinto et al., (2022), The BepiColombo Radiation Monitor, Space Sci Rev.</p
Solar wind observations from BepiColombo MPO-MAG and BERM during 9-11 Oct 2021
No full textThis dataset contains unreleased data from the BepiColombo mission for the period 2021-10-09 to 2021-10-11 during the cruise phase to Mercury. In particular, it contains magnetic field observations from the MPO-MAG instrument (Heyner et al. 2021), and energetic particles from the BERM instrument (Pinto et al. 2022).****************IMPORTANT NOTE****************These data have not been released yet to the Planetary Science Archive (PSA). As consequence, they may still suffer some changes due to future calibrations before they are released to the PSA.Therefore, we strongly encourage all the users to contact the following people before using this dataset.- Dr Beatriz Sánchez-Cano, University of Leicester, BepiColombo Guest Investigator, [email protected] Dr Daniel Heyner, TU Braunschweig, Principal Investigator of MPO-MAG, [email protected] Dr Richard Moissl, European Space Agency, Principal Investigator of BERM, [email protected]*********************************************************File descriptions:- MPO-MAG file, named: “Bepi_MAG_RTN_282_284_2021_5min_avg.dat”It contains derived data from the outbound sensor averaged every 5 minutes. The file has 7 columns with the following information:1- Initial time (days of October 2021)2- End time (days of October 2021)3- Radial component of the magnetic field (B_R) in nT and in RTN coordinates.4- Tangential component of the magnetic field (B_T) in nT and in RTN coordinates.5- Normal component of the magnetic field (B_N) in nT and in RTN coordinates.6- Cone angle (theta) of the magnetic field in degrees.7- Clock angle (phi) of the magnetic field in degrees.- BERM file, named: “BERM_OCT_2021.txt”It contains uncalibrated “raw” counts. A calibration is currently being performed. All channel units are "counts". Each column has the following information:1- 6: UT Time (DD MM YYYY HH MM SS)7- All particles8- E19- E210- E311- E412- E513- P114- P215- P316- P417- P518- P619- P720- P821- H122- H223- H324- H425- H526- O1References:• D. Heyner et al.,(2021), The BepiColombo Planetary Magnetometer MPO-MAG: What can we Learn From the Hermean Magnetic Field? Space Sci Rev, 217, 52. https://doi.org/10.1007/s11214-021-00822-x• M. Pinto et al., (2022), The BepiColombo Radiation Monitor, Space Sci Rev.</p
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
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