Institution
University of Lisbon
Education•Lisbon, Lisboa, Portugal•
About: University of Lisbon is a education organization based out in Lisbon, Lisboa, Portugal. It is known for research contribution in the topics: Population & European union. The organization has 19122 authors who have published 48503 publications receiving 1102623 citations. The organization is also known as: Universidade de Lisboa & Lisbon University.
Papers published on a yearly basis
Papers
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New England Biolabs1, New York State Department of Health2, Columbia University3, Wayne State University4, University of Basel5, University of Toledo6, University of Edinburgh7, University of Alabama8, University of Portsmouth9, Moscow State University10, University of Illinois at Chicago11, University of Bristol12, University of Rochester13, Duke University14, University of Sheffield15, Vilnius University16, University of Giessen17, University of Copenhagen18, Hungarian Academy of Sciences19, North Carolina State University20, University of Tokyo21, Humboldt University of Berlin22, Brookhaven National Laboratory23, University of Massachusetts Medical School24, National Institutes of Health25, Indian Institute of Science26, University of Warsaw27, University of California, Santa Barbara28, State Research Center of Virology and Biotechnology VECTOR29, University of Oregon30, The Chinese University of Hong Kong31, University of Maryland, College Park32, Fred Hutchinson Cancer Research Center33, University of Wisconsin-Madison34, University of Nebraska–Lincoln35, University of Lisbon36
TL;DR: In this article, a nomenclature for restriction endonucleases, DNA methyltransferases, homing endon nucleases and related genes and gene products is described.
Abstract: A nomenclature is described for restriction endonucleases, DNA methyltransferases, homing endonucleases and related genes and gene products. It provides explicit categories for the many different Type II enzymes now identified and provides a system for naming the putative genes found by sequence analysis of microbial genomes.
710 citations
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TL;DR: The ERA5-Land dataset as mentioned in this paper is an enhanced global dataset for the land component of the fifth generation of European ReAnalysis (ERA5), hereafter referred to as ERA5Land.
Abstract: . Framed within the Copernicus Climate Change Service (C3S) of the European Commission,
the European Centre for Medium-Range Weather Forecasts (ECMWF) is producing an enhanced global dataset for the land component of the fifth generation of European ReAnalysis (ERA5), hereafter referred to as ERA5-Land. Once completed, the period covered will span from 1950 to the present, with continuous updates to support land monitoring applications. ERA5-Land describes the evolution of the water and energy cycles over land in a consistent manner over the production period, which, among others, could be used to analyse trends and anomalies.
This is achieved through global high-resolution numerical integrations of the ECMWF land surface model driven by the downscaled meteorological forcing from the ERA5 climate reanalysis, including an elevation correction for the thermodynamic near-surface state. ERA5-Land shares with ERA5
most of the parameterizations that guarantees the use of the state-of-the-art land surface modelling applied to numerical weather prediction (NWP) models.
A main advantage of ERA5-Land compared to ERA5 and the older ERA-Interim is the horizontal resolution, which is enhanced globally to 9 km compared to 31 km (ERA5) or 80 km (ERA-Interim), whereas the temporal resolution
is hourly as in ERA5. Evaluation against independent in situ observations
and global model or satellite-based reference datasets shows the added value
of ERA5-Land in the description of the hydrological cycle, in particular
with enhanced soil moisture and lake description, and an overall better agreement of
river discharge estimations with available observations. However, ERA5-Land snow depth fields present a mixed performance when compared to those of ERA5, depending on geographical location and altitude.
The description of the
energy cycle shows comparable results with ERA5. Nevertheless, ERA5-Land reduces the global averaged root mean square error of the skin temperature, taking as
reference MODIS data, mainly due to the contribution of
coastal points where spatial resolution is important.
Since January 2020, the ERA5-Land period available has extended from January 1981 to the near present, with a
2- to 3-month delay with respect to real time. The segment prior to 1981 is in production, aiming for a release of the whole dataset in summer/autumn 2021.
The high spatial and temporal resolution of ERA5-Land, its extended period, and the consistency of the fields produced makes it a valuable dataset to support hydrological studies,
to initialize NWP and climate models,
and to support diverse applications dealing with water resource, land, and environmental management. The full ERA5-Land hourly ( Munoz-Sabater , 2019 a ) and monthly ( Munoz-Sabater , 2019 b ) averaged datasets presented in this paper are available through the C3S Climate Data Store at https://doi.org/10.24381/cds.e2161bac and https://doi.org/10.24381/cds.68d2bb30 , respectively.
704 citations
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University of Göttingen1, City College of New York2, University of São Paulo3, University of Toronto4, University of Erlangen-Nuremberg5, Aalborg University6, Greifswald University Hospital7, Spaulding Rehabilitation Hospital8, Medical University of South Carolina9, University of Pennsylvania10, Technische Universität Ilmenau11, University of Oldenburg12, École Polytechnique Fédérale de Lausanne13, Paris 12 Val de Marne University14, University of New South Wales15, University of Aberdeen16, University of Trento17, University of Lisbon18, University of Kiel19, Technical University of Dortmund20, Ruhr University Bochum21, Ludwig Maximilian University of Munich22, Beth Israel Deaconess Medical Center23, Mannheim University of Applied Sciences24, University of Siena25, The Catholic University of America26, University College London27, University of Copenhagen28, Fukushima Medical University29, Massachusetts Institute of Technology30, University of Tübingen31
TL;DR: Structured interviews are provided and recommend their use in future controlled studies, in particular when trying to extend the parameters applied, to discuss recent regulatory issues, reporting practices and ethical issues.
699 citations
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European Southern Observatory1, University of Lisbon2, University of Porto3, Max Planck Society4, University of Grenoble5, University of Geneva6, Paris Diderot University7, Leiden University8, University of Cologne9, Dublin Institute for Advanced Studies10, University of California, Berkeley11, Space Telescope Science Institute12
TL;DR: Eisenhauer et al. as mentioned in this paper detect the combined gravitational redshift and relativistic transverse Doppler effect for S2 of z = Δλ / λ ≈ 200 km s−1/c with different statistical analysis methods.
Abstract: The highly elliptical, 16-year-period orbit of the star S2 around the massive black hole candidate Sgr A✻ is a sensitive probe of the gravitational field in the Galactic centre. Near pericentre at 120 AU ≈ 1400 Schwarzschild radii, the star has an orbital speed of ≈7650 km s−1, such that the first-order effects of Special and General Relativity have now become detectable with current capabilities. Over the past 26 years, we have monitored the radial velocity and motion on the sky of S2, mainly with the SINFONI and NACO adaptive optics instruments on the ESO Very Large Telescope, and since 2016 and leading up to the pericentre approach in May 2018, with the four-telescope interferometric beam-combiner instrument GRAVITY. From data up to and including pericentre, we robustly detect the combined gravitational redshift and relativistic transverse Doppler effect for S2 of z = Δλ / λ ≈ 200 km s−1/c with different statistical analysis methods. When parameterising the post-Newtonian contribution from these effects by a factor f , with f = 0 and f = 1 corresponding to the Newtonian and general relativistic limits, respectively, we find from posterior fitting with different weighting schemes f = 0.90 ± 0.09|stat ± 0.15|sys. The S2 data are inconsistent with pure Newtonian dynamics.Key words: Galaxy: center / gravitation / black hole physics⋆ This paper is dedicated to Tal Alexander, who passed away about a week before the pericentre approach of S2.⋆⋆ GRAVITY is developed in a collaboration by the Max Planck Institute for extraterrestrial Physics, LESIA of Paris Observatory/CNRS/Sorbonne Universite/Univ. Paris Diderot and IPAG of Universite Grenoble Alpes/CNRS, the Max Planck Institute for Astronomy, the University of Cologne, the CENTRA – Centro de Astrofisica e Gravitacao, and the European Southern Observatory.⋆⋆⋆ Corresponding author: F. Eisenhauer e-mail: eisenhau@mpe.mpg.de
693 citations
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TL;DR: The Sado Estuary in Portugal is a good example of a site where human pressures and ecological values collide with each other as mentioned in this paper, and an overall contamination assessment has never been conducted in a way that is comprehensible to estuary managers.
691 citations
Authors
Showing all 19716 results
Name | H-index | Papers | Citations |
---|---|---|---|
Joao Seixas | 153 | 1538 | 115070 |
A. Gomes | 150 | 1862 | 113951 |
Marco Costa | 146 | 1458 | 105096 |
António Amorim | 136 | 1477 | 96519 |
Osamu Jinnouchi | 135 | 885 | 86104 |
P. Verdier | 133 | 1111 | 83862 |
Andy Haas | 132 | 1096 | 87742 |
Wendy Taylor | 131 | 1252 | 89457 |
Steve McMahon | 130 | 878 | 78763 |
Timothy Andeen | 129 | 1069 | 77593 |
Heather Gray | 129 | 966 | 80970 |
Filipe Veloso | 128 | 887 | 75496 |
Nuno Filipe Castro | 128 | 960 | 76945 |
Oliver Stelzer-Chilton | 128 | 1141 | 79154 |
Isabel Marian Trigger | 128 | 974 | 77594 |