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Published in 2021 at "Earth-Science Reviews"
DOI: 10.1016/j.earscirev.2020.103499
Abstract: Abstract Studies of alkaline lakes have critical biological–environmental–economic properties, but deep-time alkaline lakes are challenging to investigate. Lipid biomarkers can provide valuable insights into such lakes and their biogeochemical significance. This paper reviews and compares…
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Keywords:
lipid biomarker;
time alkaline;
alkaline lakes;
deep time ... See more keywords
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Published in 2021 at "Earth-Science Reviews"
DOI: 10.1016/j.earscirev.2021.103600
Abstract: Abstract The discovery in the 1980's that DNA could be extracted and sequenced from extinct animals opened-up a whole new area of research in paleobiology. The oldest authenticated sequence ever recovered is between 1.65 and…
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Keywords:
dna preservation;
preservation deep;
dna;
deep time ... See more keywords
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Published in 2020 at "Global and Planetary Change"
DOI: 10.1016/j.gloplacha.2020.103177
Abstract: Abstract The accuracy of CO2 hindcasting using fossil Ginkgo stomatal index is ripe for revision for three reasons: exponential rise in atmospheric CO2 over the past decade, discovery of a Kew herbarium specimen of Ginkgo…
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Keywords:
atmospheric co2;
co2;
deep time;
time perspective ... See more keywords
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Published in 2019 at "Marine pollution bulletin"
DOI: 10.1016/j.marpolbul.2019.01.068
Abstract: Increasingly environmental management seeks to limit the impacts of human activities on ecosystems relative to some 'reference' condition, which is often the presumed pre-impacted state, however such information is limited. We explore how marine ecosystems…
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Keywords:
indicator time;
marine ecosystems;
time;
deep time ... See more keywords
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Published in 2019 at "Nature"
DOI: 10.1038/d41586-019-01240-4
Abstract: Philip Ball talks to Katie Paterson, whose artworks take on climate change, Moon dust and the death of stars.Philip Ball talks to Katie Paterson, whose artworks take on climate change, Moon dust and the death…
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Keywords:
artist deep;
deep time;
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Published in 2021 at "Geographical Review"
DOI: 10.1080/00167428.2021.1972674
Abstract: Reading Vincent Ialenti’s Deep Time Reckoning reminded me of the time I spent within an ancient seabed deep under the New Mexico desert. During the summer of 1990, I flew to Albuquerque for a brief...
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Keywords:
time;
time reckoning;
future thinking;
reckoning future ... See more keywords
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Published in 2021 at "National Science Review"
DOI: 10.1093/nsr/nwab027
Abstract: Abstract Current barriers hindering data-driven discoveries in deep-time Earth (DE) include: substantial volumes of DE data are not digitized; many DE databases do not adhere to FAIR (findable, accessible, interoperable and reusable) principles; we lack…
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Keywords:
time digital;
digital earth;
data driven;
deep time ... See more keywords
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Published in 2021 at "Ecology letters"
DOI: 10.1111/ele.13773
Abstract: Convergence in communication appears rare compared with other forms of adaptation. This is puzzling, given communication is acutely dependent on the environment and expected to converge in form when animals communicate in similar habitats. We…
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Keywords:
convergent evolution;
time convergent;
deep time;
communication ... See more keywords
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Published in 2019 at "Science"
DOI: 10.1126/science.363.6432.1188-b
Abstract: Paleoecology Sedimentary pollen records are reliable indicators of patterns of plant diversity through time. Kunes et al. show that they can also be used to track patterns of habitat disturbance. Known niche preferences of plant…
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Keywords:
diversity deep;
disturbance;
disturbance diversity;
deep time ... See more keywords
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Published in 2022 at "Journal of Virology"
DOI: 10.1128/jvi.00063-22
Abstract: The structural relationships of SUs of retroviral groups are obscured by the high rate of sequence change of SU and the deep-time divergence of retroviral lineages. Previous data showed no structural or functional relationships between…
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Keywords:
surface envelope;
relationships sus;
deep time;
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Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220772
Abstract: This paper explores the capabilities of a sophisticated deep learning method, named Deep Time Growing Neural Network (DTGNN), and compares its possibilities against a generally well-known method, Convolutional Neural network (CNN). The comparison is performed…
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Keywords:
neural network;
network;
phonocardiography;
deep time ... See more keywords