1,721,021 research outputs found
Bipolar Magnetic Regions determined from Kitt Peak Vacuum Telescope Magnetograms
No full textCitation and Acknowledgements
Please cite both this database, the papers describing it, as well as adding the following acknowledgement:
"Bipolar magnetic regions determined from KPVT full disk magnetograms were downloaded from the solar dynamo dataverse (https://dataverse.harvard.edu/dataverse/solardynamo), maintained by Andrés Muñoz-Jaramillo."
Database citation format is shown at the top of this page, underneath the database title. It can be downloaded in a variety of formats directly from this page
The papers describing this database are
N. R. Sheeley, Jr., C. R. DeVore, and J. P. Boris, Simulations of the mean solar magnetic field during sunspot cycle 21, Solar Physics 98, 219, (1985). http://adsabs.harvard.edu/abs/1985SoPh...98..219S
N. R. Sheeley, Jr. and Y-M Wang, Average properties of bipolar magnetic regions during sunspot cycle 21, Solar Physics 124, 81, (1989). http://adsabs.harvard.edu/abs/1989SoPh..124...81W
Main Limitations
The main limitations of these data are:
Only the magnetic flux of the largest polarity is logged, assuming that the bipole is in perfect balance.
The darkening of umbrae leads to an underestimation of the magnetic field strength by the KPVT-512. It is possible that flux is underestimated for the largest regions.
Lower sensitivity is not constant during the survey so more small objects are logged towards the end than at the beginning.
Description
Bipolar Mangetic Regions (BMR) determined from Kitt Peak Vacuum Telescope (KPVT) Magnetograms.
Detection of each BMR was performed manually by Neil Sheeley, Jr. using printed full disk magnetograms. Each BMR is identified uniquely from the moment of disk appearance to disappearance (either by decay, merging, or rotation). Returns after a full rotation are counted as new structures.
Each of BMR is logged only once in the database at the point of maximum development. Columns are as follows:
Date of maximum development.
Hour of maximum development.
Flux of leading polarity (1021 Mx).
Latitude of leading polarity centroid.
Longitude of leading polarity centroid.
Latitude of trailing polarity centroid.
Longitude of trailing polarity centroid.
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Bipolar Magnetic Regions determined from Kitt Peak Vacuum Telescope Magnetograms
No full textCitation and Acknowledgements
Please cite both this database, the papers describing it, as well as adding the following acknowledgement:
"Bipolar magnetic regions determined from KPVT full disk magnetograms were downloaded from the solar dynamo dataverse (https://dataverse.harvard.edu/dataverse/solardynamo), maintained by Andrés Muñoz-Jaramillo."
Database citation format is shown at the top of this page, underneath the database title. It can be downloaded in a variety of formats directly from this page
The papers describing this database are
N. R. Sheeley, Jr., C. R. DeVore, and J. P. Boris, Simulations of the mean solar magnetic field during sunspot cycle 21, Solar Physics 98, 219, (1985). http://adsabs.harvard.edu/abs/1985SoPh...98..219S
N. R. Sheeley, Jr. and Y-M Wang, Average properties of bipolar magnetic regions during sunspot cycle 21, Solar Physics 124, 81, (1989). http://adsabs.harvard.edu/abs/1989SoPh..124...81W
Main Limitations
The main limitations of these data are:
Only the magnetic flux of the largest polarity is logged, assuming that the bipole is in perfect balance.
The darkening of umbrae leads to an underestimation of the magnetic field strength by the KPVT-512. It is possible that flux is underestimated for the largest regions.
Lower sensitivity is not constant during the survey so more small objects are logged towards the end than at the beginning.
Description
Bipolar Mangetic Regions (BMR) determined from Kitt Peak Vacuum Telescope (KPVT) Magnetograms.
Detection of each BMR was performed manually by Neil Sheeley, Jr. using printed full disk magnetograms. Each BMR is identified uniquely from the moment of disk appearance to disappearance (either by decay, merging, or rotation). Returns after a full rotation are counted as new structures.
Each of BMR is logged only once in the database at the point of maximum development. Columns are as follows:
Date of maximum development.
Hour of maximum development.
Flux of leading polarity (1021 Mx).
Latitude of leading polarity centroid.
Longitude of leading polarity centroid.
Latitude of trailing polarity centroid.
Longitude of trailing polarity centroid.
</ol
MWO polar faculae count calibrated to WSO polar fields and SOHO/MDI polar flux
No full textCitation and Acknowledgements
Please cite both this database the paper describing it, as well as adding the following acknowledgement:
"MWO calibrated polar faculae data were downloaded from the solar dynamo dataverse (https://dataverse.harvard.edu/dataverse/solardynamo), maintained by Andrés Muñoz-Jaramillo."
Database citation format is shown at the top of this page, underneath the database title. It can be downloaded in a variety of formats directly from this page
The paper describing this database is
A. Muñoz-Jaramillo, N. R. Sheeley Jr., J. Zhang, & E. E. DeLuca, Calibrating 100 years of polar faculae measurements: Implications for the evolution of the heliospheric magnetic field, ApJ, 753, 146 (2012). http://adsabs.harvard.edu/abs/2012ApJ...753..146M
Main Limitations
The main limitations of these data are:
Polar field measurements are limited to a cadence of one measurement per year, and
Polar faculae are a strictly possitive quantity. Prior to 1976, magnetic polarity has been assigned by assuming that reversal takes place when facular counts reach a minimum .
Description
Faculae counted by hand on the best 5 images during the periods of maximum pole coverage (August 15-September 15 for the North pole and February 15-March 15 for the South pole) and averaged. Standard deviation has been turned into standard error by dividing it by sqrt(5). Years with multiple observations have been averaged as well as their their standard errors.
Calibration between campaigns was made taking advantage of the overlaps between them. All campaigns were standardized to the values of the 3rd campaign in order to reduce error propagation.
Original papers reporting the different data reduction campaigns are:
1st Campaign:
Sheeley N. R. Jr. 1964 ApJ 140 731
Sheeley N. R. Jr. 1966 ApJ 144 723
2nd Campaign:
Sheeley N. R. Jr. 1976 J. Geophys. Res. 81 3462
3rd Campagin:
Sheeley N. R. Jr. 1991 ApJ 374 386
4th Campagin:
Sheeley N. R. Jr. 2008 ApJ 680 1553
Calibration factors used were:
To turn 1st campaign values into 2nd campaign: 0.8733 +/- 0.0343
To turn 2nd campaign values into 3rd campaign: 0.7293 +/- 0.1918
To turn 4th campaign values into 3rd campaign: 1.6601 +/- 0.1861
Unification of all campaigns is performed by averaging overlapping years between the calibrated campaigns as well as their standard errors.
Calibration to MDI magnetic flux is performed by using MWO, WSO, and MDI data only during periods of maximum polar coverage and the overlap between the unified WSO facular count, WSO, and MDI data.
The calibration factors used were:
To turn MWO facular counts to MDI magnetic flux: (1.045 +/- 0.1638)*10^21 Mx
To turn WSO facular counts to MDI magnetic flux: (10.61 +/- 0.6410)*10^21 Mx/Gauss
Details on the consolidation and calibration of the different campaigns can be found in:
A. Munoz-Jaramillo, N. R. Sheeley, Jr., J. Zhang, and E. E. DeLuca
CALIBRATING 100 YEARS OF POLAR FACULAE MEASUREMENTS: IMPLICATIONS
FOR THE EVOLUTION OF THE HELIOSPHERIC MAGNETIC FIELD
ApJ, 753, 146. (2012) doi:10.1088/0004-637X/753/2/146
Paper available from: http://www.solardynamo.org/docs/Munoz-Jaramillo_etal_ApJ2012.pdf
Available Products:
File: e_PField_MWO_WSO_2.0.dat
File: f_PFlux_MWO_WSO_MDI_2.0.dat
Files: aN_Polar_Fac_Raw_North.dat and aS_Polar_Fac_Raw_South.dat
Files: bN_Polar_Fac_Consolidated_North_2.0.dat and bS_Polar_Fac_Consolidated_South_2.0.dat
Files: cN_Polar_Fac_Calibrated_North_2.0.dat and cS_Polar_Fac_Calibrated_South_2.0.dat
File: d_Polar_Fac_Unified_2.0.dat
<img src="http://solardynamo.org/images/d_Unified_Data.svg" alt="MWO calibrated to WSO Field" width="840"
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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