Institution
Oregon State University
Education•Corvallis, Oregon, United States•
About: Oregon State University is a education organization based out in Corvallis, Oregon, United States. It is known for research contribution in the topics: Population & Gene. The organization has 28192 authors who have published 64044 publications receiving 2634108 citations. The organization is also known as: Oregon Agricultural College & OSU.
Topics: Population, Gene, Context (language use), Climate change, Soil water
Papers published on a yearly basis
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TL;DR: The eBird project as mentioned in this paper has become a major source of biodiversity data, increasing our knowledge of the dynamics of species distributions, and having a direct impact on the conservation of birds and their habitats.
682 citations
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TL;DR: Microwave SST retrievals provide insights in a number of areas, including tropical instability waves, marine boundary layer dynamics, and the prediction of hurricane intensity.
Abstract: Measurements of sea surface temperature (SST) can be made by satellite microwave radiometry in all weather conditions except rain. Microwaves penetrate clouds with little attenuation, giving an uninterrupted view of the ocean surface. This is a distinct advantage over infrared measurements of SST, which are obstructed by clouds. Comparisons with ocean buoys show a root mean square difference of about 0.6 degrees C, which is partly due to the satellite-buoy spatial-temporal sampling mismatch and the difference between the ocean skin temperature and bulk temperature. Microwave SST retrievals provide insights in a number of areas, including tropical instability waves, marine boundary layer dynamics, and the prediction of hurricane intensity.
681 citations
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TL;DR: The FLUXNET2015 dataset provides ecosystem-scale data on CO 2 , water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe, and is detailed in this paper.
Abstract: The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
681 citations
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University of Pretoria1, Empresa Brasileira de Pesquisa Agropecuária2, Universidade Católica de Brasília3, Oak Ridge National Laboratory4, United States Department of Energy5, Joint Genome Institute6, Ghent University7, Institut national de la recherche agronomique8, University of Toulouse9, University of British Columbia10, University of Münster11, University of Düsseldorf12, Oregon State University13, University of São Paulo14, Federal University of Rio de Janeiro15, Australian National University16, Indian Institute of Chemical Technology17, University of Arizona18, Universidade Federal de Viçosa19, Universidade Federal do Rio Grande do Sul20, Department of Environment and Primary Industries21, University of Melbourne22, University of Tasmania23, University of the Sunshine Coast24, University of Brasília25
TL;DR: Of 36,376 predicted protein-coding genes, 34% occur in tandem duplications, the largest proportion thus far in plant genomes, which shows the highest diversity of genes for specialized metabolites such as terpenes that act as chemical defence and provide unique pharmaceutical oils.
Abstract: Eucalypts are the world's most widely planted hardwood trees. Their outstanding diversity, adaptability and growth have made them a global renewable resource of fibre and energy. We sequenced and assembled >94% of the 640-megabase genome of Eucalyptus grandis. Of 36,376 predicted protein-coding genes, 34% occur in tandem duplications, the largest proportion thus far in plant genomes. Eucalyptus also shows the highest diversity of genes for specialized metabolites such as terpenes that act as chemical defence and provide unique pharmaceutical oils. Genome sequencing of the E. grandis sister species E. globulus and a set of inbred E. grandis tree genomes reveals dynamic genome evolution and hotspots of inbreeding depression. The E. grandis genome is the first reference for the eudicot order Myrtales and is placed here sister to the eurosids. This resource expands our understanding of the unique biology of large woody perennials and provides a powerful tool to accelerate comparative biology, breeding and biotechnology.
679 citations
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TL;DR: In the Canada/US 1994 Arctic Ocean Section, algal biomass (Chlorophyll a) and primary production were measured in the water column, at the ice-water interface and in the bottom 24 cm of the sea ice along a transect from the Chukchi Sea to the Nansen Basin via the North Pole as discussed by the authors.
Abstract: During the Canada/US 1994 Arctic Ocean Section, algal biomass (Chlorophyll a) and primary production were measured in the water column, at the ice-water interface and in the bottom 24 cm of the sea ice along a transect from the Chukchi Sea to the Nansen Basin via the North Pole Algal biomass and primary production were determined for 07-5 urn and > 5 urn size fractions The algal release rate of D014C during incubation was also measured In the Chukchi Sea and in leads of the Makarov and Nansen Basins, total maximum particulate phytoplankton production rates were 2570,73 and 521 mg C m-* day-', respectively At these stations, where ice cover varied from 55 to 90%, large phytoplankton ( > 5 pm) represented 61-98% of the total algal biomass At stations with higher ice coverage (>90%), the total phytoplankton production decreased to 9- 57mgCm-*day-' At these stations, small phytoplankton (07-5 urn) accounted for 59-88% of the total biomass and more than 64% of the total production Along the transect, the percentage of the total phytoplankton production released as extracellular carbon was generally less than 20%, except in the Canadian Basin where it ranged from 31 to 65% Total particulate ice algal production ranged from 05 to 310 mg C m-* day-' and showed maximum rates in the central Arctic Ocean Large cells ( > 5 urn) generally dominated the ice algal community, representing 5&100% of the total biomass and more than 50% of the total production Ice algae released on average 34% of total carbon fixed during the 4-12 h incubation Ice algae contributed on average 57% of the entire primary production (water column + sea ice) in the central Arctic and 3% in the surrounding regions Total primary productivity in the central Arctic Ocean is estimated at 15 g C m-* year-', a value at least 10 times higher than previously reported The difference between estimates is due in part to the previously unmeasured contribution of the particulate production by ice algae and the release of DOC by both ice and pelagic algae 0 1998 Elsevier Science Ltd All rights reserved
678 citations
Authors
Showing all 28447 results
Name | H-index | Papers | Citations |
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Robert Stone | 160 | 1756 | 167901 |
Menachem Elimelech | 157 | 547 | 95285 |
Thomas J. Smith | 140 | 1775 | 113919 |
Harold A. Mooney | 135 | 450 | 100404 |
Jerry M. Melillo | 134 | 383 | 68894 |
John F. Thompson | 132 | 1420 | 95894 |
Thomas N. Williams | 132 | 1145 | 95109 |
Peter M. Vitousek | 127 | 352 | 96184 |
Steven W. Running | 126 | 355 | 76265 |
Vincenzo Di Marzo | 126 | 659 | 60240 |
J. D. Hansen | 122 | 975 | 76198 |
Peter Molnar | 118 | 446 | 53480 |
Michael R. Hoffmann | 109 | 500 | 63474 |
David Pollard | 108 | 438 | 39550 |
David J. Hill | 107 | 1364 | 57746 |