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Institution

Iowa State University

EducationAmes, Iowa, United States
About: Iowa State University is a education organization based out in Ames, Iowa, United States. It is known for research contribution in the topics: Population & Gene. The organization has 50151 authors who have published 107716 publications receiving 3355909 citations. The organization is also known as: Iowa State University of Science and Technology & Iowa State College.


Papers
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Journal ArticleDOI
TL;DR: An extremely large magnetic entropy change has been discovered in magnetic materials when subjected to a change in the magnetic field as mentioned in this paper, which exceeds the reversible magnetocaloric effect in any known magnetic material by at least a factor of 2.
Abstract: An extremely large magnetic entropy change has been discovered in $\mathrm{Gd}{}_{5}(\mathrm{Si}{}_{2}\mathrm{Ge}{}_{2})$ when subjected to a change in the magnetic field. It exceeds the reversible (with respect to an alternating magnetic field) magnetocaloric effect in any known magnetic material by at least a factor of 2, and it is due to a first order $[\mathrm{ferromagnetic}(\mathrm{I})\ensuremath{\leftrightarrow}\mathrm{ferromagnetic}(\mathrm{II})]$ phase transition at 276 K and its unique magnetic field dependence.

3,561 citations

Journal ArticleDOI
TL;DR: In this paper, a simple method of assaying soil phosphatase activity is described, which involves colorimetric estimation of the p-nitrophenol released by the enzyme when the soil is incubated with buffered (pH 6·5) sodium pnphosphorus solution and toluene at 37°C for 1 hour.
Abstract: A simple method of assaying soil phosphatase activity is described. It involves colorimetric estimation of the p-nitrophenol released by phosphatase activity when soil is incubated with buffered (pH 6·5) sodium p-nitrophenyl phosphate solution and toluene at 37° C for 1 hr. The method is rapid and precise, and it has significant advantages over methods previously proposed for assay of soil phosphatase activity.

3,503 citations

Journal ArticleDOI
TL;DR: PartitionFinder 2 is a program for automatically selecting best-fit partitioning schemes and models of evolution for phylogenetic analyses that includes the ability to analyze morphological datasets, new methods to analyze genome-scale datasets, and new output formats to facilitate interoperability with downstream software.
Abstract: PartitionFinder 2 is a program for automatically selecting best-fit partitioning schemes and models of evolution for phylogenetic analyses. PartitionFinder 2 is substantially faster and more efficient than version 1, and incorporates many new methods and features. These include the ability to analyze morphological datasets, new methods to analyze genome-scale datasets, new output formats to facilitate interoperability with downstream software, and many new models of molecular evolution. PartitionFinder 2 is freely available under an open source license and works on Windows, OSX, and Linux operating systems. It can be downloaded from www.robertlanfear.com/partitionfinder. The source code is available at https://github.com/brettc/partitionfinder.

3,445 citations

Journal ArticleDOI
TL;DR: VEGAN adds vegetation analysis functions to the general-purpose statistical program R, and implements several ordination methods, including Canonical Correspondence Analysis and Non-metric Multidimensional Scaling, vector fitting of environmental variables, randomization tests, and various other analyses of vegetation data.
Abstract: VEGAN adds vegetation analysis functions to the general-purpose statistical program R. Both R and VEGAN can be downloaded for free. VEGAN implements several ordination methods, including Canonical Correspondence Analysis and Non-metric Multidimensional Scaling, vector fitting of environmental variables, randomization tests, and various other analyses of vegetation data. It can be used for large data. Graphical output can be customized using the R language's extensive graphics capabilities. VEGAN is appropriate for routine and research use, if you are willing to learn some R. Abbreviation: MDS = Multidimensional Scaling.

3,378 citations

Journal ArticleDOI
TL;DR: The benefits of the new, re-designed DSSAT-CSM will provide considerable opportunities to its developers and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems at field, farm, and higher levels.

3,339 citations


Authors

Showing all 50392 results

NameH-indexPapersCitations
Feng Zhang1721278181865
Yang Gao1682047146301
Steven N. Blair165879132929
Carlos Bustamante161770106053
Darien Wood1602174136596
Pete Smith1562464138819
Richard J. Davidson15660291414
Mark Raymond Adams1471187135038
H. A. Neal1411903115480
Mitchell Wayne1391810108776
Frank Filthaut1351684103590
Tiziano Rovelli135144190518
Francesco Navarria135153591427
Francesca Romana Cavallo135157192392
Yasar Onel134142492200
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202378
2022550
20213,570
20203,803
20193,787
20183,741