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Institution

Spanish National Research Council

GovernmentMadrid, Spain
About: Spanish National Research Council is a government organization based out in Madrid, Spain. It is known for research contribution in the topics: Population & Galaxy. The organization has 79563 authors who have published 220470 publications receiving 7698991 citations. The organization is also known as: CSIC & Consejo Superior de Investigaciones Científicas.
Topics: Population, Galaxy, Catalysis, Stars, Star formation


Papers
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Journal ArticleDOI
TL;DR: IdTracker as discussed by the authors extracts a characteristic fingerprint from each animal in a video recording of a group and then uses these fingerprints to identify every individual throughout the video, which prevents propagation of errors and the correct identities can be maintained indefinitely.
Abstract: Animals in groups touch each other, move in paths that cross, and interact in complex ways. Current video tracking methods sometimes switch identities of unmarked individuals during these interactions. These errors propagate and result in random assignments after a few minutes unless manually corrected. We present idTracker, a multitracking algorithm that extracts a characteristic fingerprint from each animal in a video recording of a group. It then uses these fingerprints to identify every individual throughout the video. Tracking by identification prevents propagation of errors, and the correct identities can be maintained indefinitely. idTracker distinguishes animals even when humans cannot, such as for size-matched siblings, and reidentifies animals after they temporarily disappear from view or across different videos. It is robust, easy to use and general. We tested it on fish (Danio rerio and Oryzias latipes), flies (Drosophila melanogaster), ants (Messor structor) and mice (Mus musculus).

644 citations

Journal ArticleDOI
University of East Anglia1, University of Oslo2, Commonwealth Scientific and Industrial Research Organisation3, University of Exeter4, Oak Ridge National Laboratory5, Woods Hole Research Center6, University of Bristol7, Scripps Institution of Oceanography8, National Oceanic and Atmospheric Administration9, Karlsruhe Institute of Technology10, University of Miami11, Centre national de la recherche scientifique12, University of Maryland, College Park13, Aix-Marseille University14, Flanders Marine Institute15, Alfred Wegener Institute for Polar and Marine Research16, Max Planck Society17, University of Illinois at Urbana–Champaign18, Plymouth Marine Laboratory19, Netherlands Environmental Assessment Agency20, Lawrence Berkeley National Laboratory21, ETH Zurich22, Bjerknes Centre for Climate Research23, University of Paris24, Woods Hole Oceanographic Institution25, Institute of Arctic and Alpine Research26, Japan Agency for Marine-Earth Science and Technology27, National Institute for Environmental Studies28, University of Washington29, University of Bergen30, Spanish National Research Council31, Montana State University32, Leibniz Institute for Baltic Sea Research33, Japan Meteorological Agency34, Leibniz Institute of Marine Sciences35, Imperial College London36, University of Bern37, Joint Institute for the Study of the Atmosphere and Ocean38, Lamont–Doherty Earth Observatory39, Hobart Corporation40, Wageningen University and Research Centre41, VU University Amsterdam42, University of New Hampshire43, Met Office44
TL;DR: In this article, the authors presented a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community.
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates as well as consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover-change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2, and land-cover change (some including nitrogen–carbon interactions). We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2005–2014), EFF was 9.0 ± 0.5 GtC yr−1, ELUC was 0.9 ± 0.5 GtC yr−1, GATM was 4.4 ± 0.1 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1, and SLAND was 3.0 ± 0.8 GtC yr−1. For the year 2014 alone, EFF grew to 9.8 ± 0.5 GtC yr−1, 0.6 % above 2013, continuing the growth trend in these emissions, albeit at a slower rate compared to the average growth of 2.2 % yr−1 that took place during 2005–2014. Also, for 2014, ELUC was 1.1 ± 0.5 GtC yr−1, GATM was 3.9 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and SLAND was 4.1 ± 0.9 GtC yr−1. GATM was lower in 2014 compared to the past decade (2005–2014), reflecting a larger SLAND for that year. The global atmospheric CO2 concentration reached 397.15 ± 0.10 ppm averaged over 2014. For 2015, preliminary data indicate that the growth in EFF will be near or slightly below zero, with a projection of −0.6 [range of −1.6 to +0.5] %, based on national emissions projections for China and the USA, and projections of gross domestic product corrected for recent changes in the carbon intensity of the global economy for the rest of the world. From this projection of EFF and assumed constant ELUC for 2015, cumulative emissions of CO2 will reach about 555 ± 55 GtC (2035 ± 205 GtCO2) for 1870–2015, about 75 % from EFF and 25 % from ELUC. This living data update documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this data set (Le Quere et al., 2015, 2014, 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2015).

644 citations

Journal ArticleDOI
08 Dec 2005-Nature
TL;DR: The temperature and density profiles, as determined by the Huygens Atmospheric Structure Instrument (HASI), from an altitude of 1,400 km down to the surface were higher than expected and the extent of atmospheric electricity was also hitherto unknown.
Abstract: On the basis of previous ground-based and fly-by information, we knew that Titan's atmosphere was mainly nitrogen, with some methane, but its temperature and pressure profiles were poorly constrained because of uncertainties in the detailed composition. The extent of atmospheric electricity (‘lightning’) was also hitherto unknown. Here we report the temperature and density profiles, as determined by the Huygens Atmospheric Structure Instrument (HASI), from an altitude of 1,400 km down to the surface. In the upper part of the atmosphere, the temperature and density were both higher than expected. There is a lower ionospheric layer between 140 km and 40 km, with electrical conductivity peaking near 60 km. We may also have seen the signature of lightning. At the surface, the temperature was 93.65 ± 0.25 K, and the pressure was 1,467 ± 1 hPa.

643 citations

Journal ArticleDOI
27 Apr 2007-Immunity
TL;DR: The demonstration of monocyte differentiation potential into DCs during in vivo infection and of local DC differentiation in inflammatory foci suggests that de novo formed monocyte-derived DCs are essential in T cell immunity against pathogens.

642 citations

Journal ArticleDOI
TL;DR: In this article, the potential use of various commercial fibres (carob fibre, inulin and pea fibre), as fibre-enriching agents in breadmaking, is reported.

642 citations


Authors

Showing all 79686 results

NameH-indexPapersCitations
Guido Kroemer2361404246571
George Efstathiou187637156228
Peidong Yang183562144351
H. S. Chen1792401178529
David R. Williams1782034138789
Andrea Bocci1722402176461
Adrian L. Harris1701084120365
Gang Chen1673372149819
Gregory J. Hannon165421140456
Alvaro Pascual-Leone16596998251
Jorge E. Cortes1632784124154
Dongyuan Zhao160872106451
John B. Goodenough1511064113741
David D'Enterria1501592116210
A. Gomes1501862113951
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202371
2022463
202111,933
202012,584
201911,596