Institution
University of Exeter
Education•Exeter, United Kingdom•
About: University of Exeter is a education organization based out in Exeter, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 15820 authors who have published 50650 publications receiving 1793046 citations. The organization is also known as: Exeter University & University of the South West of England.
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University of East Anglia1, Geophysical Institute, University of Bergen2, Bjerknes Centre for Climate Research3, University of Paris4, University of Exeter5, Leibniz Institute of Marine Sciences6, Earth System Research Laboratory7, University of Colorado Boulder8, Columbia University9, Cooperative Research Centre10, Hobart Corporation11, Atlantic Oceanographic and Meteorological Laboratory12, University of Miami13, University of Southampton14, Federal University of Pernambuco15, State Oceanic Administration16, University of Gothenburg17, University of Alaska Fairbanks18, Norwegian Polar Institute19, University of Perpignan20, Council of Scientific and Industrial Research21, Commonwealth Scientific and Industrial Research Organisation22, University of Hawaii at Manoa23, Alfred Wegener Institute for Polar and Marine Research24, University of New Hampshire25, Institut de recherche pour le développement26, Plymouth Marine Laboratory27, Oak Ridge National Laboratory28, University of the Aegean29, Max Planck Society30, Japan Agency for Marine-Earth Science and Technology31, United States Geological Survey32, Japan Meteorological Agency33, Leibniz Association34, World Meteorological Organization35, National University of Ireland, Galway36
TL;DR: This ESSD "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for earlier versions of the data collection.
Abstract: . The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO2 (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO2 values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.6 million fCO2 values relative to version 2 and extends the record from 2011 to 2014. Version 3 also significantly increases the data availability for 2005 to 2013. SOCAT has an average of approximately 1.2 million surface water fCO2 values per year for the years 2006 to 2012. Quality and documentation of the data has improved. A new feature is the data set quality control (QC) flag of E for data from alternative sensors and platforms. The accuracy of surface water fCO2 has been defined for all data set QC flags. Automated range checking has been carried out for all data sets during their upload into SOCAT. The upgrade of the interactive Data Set Viewer (previously known as the Cruise Data Viewer) allows better interrogation of the SOCAT data collection and rapid creation of high-quality figures for scientific presentations. Automated data upload has been launched for version 4 and will enable more frequent SOCAT releases in the future. High-profile scientific applications of SOCAT include quantification of the ocean sink for atmospheric carbon dioxide and its long-term variation, detection of ocean acidification, as well as evaluation of coupled-climate and ocean-only biogeochemical models. Users of SOCAT data products are urged to acknowledge the contribution of data providers, as stated in the SOCAT Fair Data Use Statement. This ESSD (Earth System Science Data) "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for earlier versions of the data collection (Pfeil et al., 2013; Sabine et al., 2013; Bakker et al., 2014). Individual data set files, included in the synthesis product, can be downloaded here: doi:10.1594/PANGAEA.849770 . The gridded products are available here: doi:10.3334/CDIAC/OTG.SOCAT_V3_GRID .
408 citations
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University of Edinburgh1, University of California2, University of Sheffield3, University of Virginia4, Aarhus University5, University of California, Davis6, University of Barcelona7, Northern Arizona University8, University of Alaska Fairbanks9, Netherlands Organisation for Scientific Research10, University of Oslo11, University of Bergen12, VU University Amsterdam13, University of Exeter14, Institute of Arctic and Alpine Research15, University of Lapland16, Grand Valley State University17, University of Zurich18, Colgate University19, University of Oxford20, Open University21, Umeå University22, University of Stirling23, University of Tromsø24, Lund University25, University of Alaska Anchorage26, University of Texas at El Paso27, University of Greifswald28, University of Aberdeen29, Swiss Federal Institute for Forest, Snow and Landscape Research30
TL;DR: In this paper, a consensus is emerging that the underlying causes and future dynamics of so-called Arctic greening and browning trends are more complex, variable and inherently scale-dependent than previously thought.
Abstract: As the Arctic warms, vegetation is responding, and satellite measures indicate widespread greening at high latitudes. This ‘greening of the Arctic’ is among the world’s most important large-scale ecological responses to global climate change. However, a consensus is emerging that the underlying causes and future dynamics of so-called Arctic greening and browning trends are more complex, variable and inherently scale-dependent than previously thought. Here we summarize the complexities of observing and interpreting high-latitude greening to identify priorities for future research. Incorporating satellite and proximal remote sensing with in-situ data, while accounting for uncertainties and scale issues, will advance the study of past, present and future Arctic vegetation change.
407 citations
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TL;DR: This article focuses on one of the best understood complex networks, which is found in Rhodobacter sphaeroides and integrates sensory data about the external environment and the metabolic state of the cell to produce a balanced response at the flagellar motor.
Abstract: Bacteria use chemotaxis to migrate towards environments that are better for growth. Chemoreceptors detect changes in attractant levels and signal through two-component systems to control swimming direction. This basic pathway is conserved across all chemotactic bacteria and archaea; however, recent work combining systems biology and genome sequencing has started to elucidate the additional complexity of the process in many bacterial species. This article focuses on one of the best understood complex networks, which is found in Rhodobacter sphaeroides and integrates sensory data about the external environment and the metabolic state of the cell to produce a balanced response at the flagellar motor.
407 citations
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TL;DR: The diversity of cysteine's multiple roles in vivo is equally as fascinating as it is promising for future biochemical and pharmacological research.
407 citations
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TL;DR: Desiccation-tolerance is a primitive character of land plants lost in the course of evolution of the homoiohydric vascular-plant shoot system, but retained in spores, pollen and seeds, and re-evolved in the vegetative tissues of vascular “resurrection plants.”
Abstract: Desiccation-tolerance (DT), the ability to lose virtually all free intracellular water and then recover normal function upon rehydration, is one of the most remarkable features of bryophytes. The physiology of bryophytes differs in major respects from that of vascular plants by virtue of their smaller size; unlike vascular plants, the leafy shoots of bryophytes equilibrate rapidly with the water potential in their surroundings and tend to be either fully hydrated or desiccated and metabolically inactive. The time required to recover from desiccation increases and degree of recovery decreases with length of desiccation; both also depend upon temperature and intensity of desiccation. Tolerance in at least some species shows phenotypic plasticity. Recovery of respiration, photosynthesis and protein synthesis takes place within minutes or an hour or two; recovery of the cell cycle, food transport and the cytoskeleton may take 24 hours or more. Positive carbon balance is essential to survival of repea...
407 citations
Authors
Showing all 16338 results
Name | H-index | Papers | Citations |
---|---|---|---|
Frank B. Hu | 250 | 1675 | 253464 |
John C. Morris | 183 | 1441 | 168413 |
David W. Johnson | 160 | 2714 | 140778 |
Kevin J. Gaston | 150 | 750 | 85635 |
Andrew T. Hattersley | 146 | 768 | 106949 |
Timothy M. Frayling | 133 | 500 | 100344 |
Joel N. Hirschhorn | 133 | 431 | 101061 |
Jonathan D. G. Jones | 129 | 417 | 80908 |
Graeme I. Bell | 127 | 531 | 61011 |
Mark D. Griffiths | 124 | 1238 | 61335 |
Tao Zhang | 123 | 2772 | 83866 |
Brinick Simmons | 122 | 691 | 69350 |
Edzard Ernst | 120 | 1326 | 55266 |
Michael Stumvoll | 119 | 655 | 69891 |
Peter McGuffin | 117 | 624 | 62968 |