187,470 research outputs found
Data supporting McClean et al (2022) Intercomparison of global reanalysis precipitation for flood risk modelling. Hydrology and Earth System Sciences.
All figures from McClean el al (2022) can be reproduced using the data provided here. The code used to create the figures is available as a separate item.</p
Code supporting McClean et al (2022) Intercomparison of global reanalysis precipitation for flood risk modelling. Hydrology and Earth System Sciences.
All figures from McClean el al (2022) can be reproduced using the code provided here. The data used to create the figures is available as a separate item. To run the scripts, extract data.zip into the same directory as the scripts then create a Python environment using environment.yml.</p
Communicating Chemical Congregation: A Molecular AND Logic Gate with Three Chemical Inputs as a �Lab-on-a-Molecule� Prototype
PT: J; CR: ABBOTT EA, 1950, FLATLAND ROMANCE MAN AMENDOLA V, 2001, ACCOUNTS CHEM RES, V34, P488 BADJIC JD, 2004, SCIENCE, V303, P1845 BAG B, 2005, CHEM COMMUN 0128, P513 BALZANI V, 2003, MOL DEVICES MACHINES BHATTACHARYA S, 2003, CHEM COMMUN, P1158 BISSELL RA, 1992, J CHEM SOC P2, P1559 CALLAN JF, 2004, CHEM COMMUN, P2048 CHANG CJ, 2004, CHEM BIOL, V11, P203 DESILVA AP, 1993, NATURE, V364, P42 DESILVA AP, 1997, CHEM REV, V97, P1515 DESILVA AP, 1997, J AM CHEM SOC, V119, P7891 DESILVA AP, 1999, J AM CHEM SOC, V121, P1393 DESILVA AP, 2001, ELECT TRANSFER CHEM, V5, P156 DESILVA AP, 2001, MOL SWITCHES, P339 DESILVA AP, 2004, CHEM-EUR J, V10, P574 DESILVA SA, 2002, CHEM COMMUN, P1360 FABBRIZZI L, 1999, ACCOUNTS CHEM RES, V32, P846 FARINAS J, 1999, J BIOL CHEM, V274, P7603 GUNNLAUGSSON T, 2003, ORG BIOMOL CHEM, V1, P3265 GUNNLAUGSSON T, 2003, ORG LETT, V5, P4065 GUNNLAUGSSON T, 2004, TETRAHEDRON, V60, P11239 GUO XF, 2004, ADV MATER, V16, P125 HE HR, 2003, ANAL CHEM, V75, P549 HE HR, 2003, J AM CHEM SOC, V125, P1468 HERNANDEZ JV, 2004, SCIENCE, V306, P1532 HIRSCH ED, 2002, NEW DICT CULTURAL LI IZATT RM, 1976, J AM CHEM SOC, V98, P7626 IZATT RM, 1985, CHEM REV, V85, P271 KOSKELA SJM, 2004, CHEM COMMUN, P945 LANKSHEAR MD, 2006, CHEM COMMUN 0214, P612 LIM NC, 2004, CHEM COMMUN 0507, P1094 MARGULIES D, 2004, J AM CHEM SOC, V126, P15400 MARGULIES D, 2005, NAT MATER, V4, P768 MILLMAN J, 1988, MICROELECTRONICS NICOLL D, 2004, DIAGNOSTIC TESTS RAYMO FM, 2002, ADV MATER, V14, P401 SAUVAGE JP, 1998, ACCOUNTS CHEM RES, V31, P611 SMITH RM, 1974, CRITICAL STABILITY C STOJANOVIC MN, 2003, NAT BIOTECHNOL, V21, P1069 TSIEN RY, 1992, AM J PHYSIOL, V263, C723 TUSA JK, 2005, J MATER CHEM, V15, P2640 UCHIYAMA S, 2004, J AM CHEM SOC, V126, P3032 UCHIYAMA S, 2005, J AM CHEM SOC, V127, P8920 WANG HM, 2004, CHEM COMMUN 0321, P670 WISKUR SL, 2001, ACCOUNTS CHEM RES, V34, P963 WOODROOFE CC, 2003, J AM CHEM SOC, V125, P11458; NR: 47; TC: 10; J9: J AM CHEM SOC; PG: 2; GA: 034GNSource type: Electronic(1
sj-pdf-1-cps-10.1177_00104140211047412 – Supplemental Material for Breaking the Cabinet’s Glass Ceiling: The Gendered Effect of Political Experience in Presidential Democracies
Supplemental Material, sj-pdf-1-cps-10.1177_00104140211047412 for Breaking the Cabinet’s Glass Ceiling: The Gendered Effect of Political Experience in Presidential Democracies by Don S. Lee and Charles T. McClean in Comparative Political Studies</p
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
Syntenic relationships among legumes revealed using a gene-based genetic linkage map of common bean (Phaseolus vulgaris L.)
Molecular linkage maps are an important tool for gene discovery and cloning, crop improvement, further genetic studies, studies on diversity and evolutionary history, and cross-species comparisons. Linkage maps differ in both the type of marker and type of population used. In this study, gene-based markers were used for mapping in a recombinant inbred (RI) population of Phaseolus vulgaris L. P. vulgaris, common dry bean, is an important food source, economic product, and model organism for the legumes. Gene-based markers were developed that corresponded to genes controlling mutant phenotypes in Arabidopsis thaliana, genes undergoing selection during domestication in maize, and genes that function in a biochemical pathway in A. thaliana. Sequence information, including introns and 3’ UTR, was generated for over 550 genes in the two genotypes of P. vulgaris. Over 1,800 single nucleotide polymorphisms and indels were found, 300 of which were screened in the RI population. The resulting LOD 2.0 map is 1,545 cM in length and consists of 275 gene-based and previously mapped core markers. An additional 53 markers that mapped at LOD <1.0 were placed in genetic bins. By screening the parents of other mapping populations, it was determined that the markers were useful for other common Mesoamerican x Andean mapping populations. The location of the mapped genes relative to their homologs in Arabidopsis thaliana (At), Medicago truncatula (Mt), and Lotus japonicus (Lj) were determine by using a tblastx analysis with the current pseduochromosome builds for each of the species. While only short blocks of synteny were observed with At, large-scale macrosyntenic blocks were observed with Mt and Lj. By using Mt and Lj as bridging species, the syntenic relationship between the common bean and peanut was inferred
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