Results 71 to 80 of about 73,794 (208)

Enabling pan-repository reanalysis for big data science of public metabolomics data

Public untargeted metabolomics data is a growing resource for metabolite and phenotype discovery; however, accessing and utilizing these data across repositories pose significant challenges.
Juan Antonio, Vizcaino, Claire, O’Donovan, Pieter C, Dorrestein, Simone, Zuffa, Thomas, Payne, Shipei, Xing, Michael, Strobel, Mingxun, Wang, Yasin, El Abiead, Nicole Elizabeth, Avalon, Helena, Mannochio-Russo, Eoin, Fahy, Ipsita, Mohanty, Paulo Wender Portal, Gomes, Andres Mauricio, Caraballo-Rodriguez, Shankar, Subramamiam, Haoqi Nina, Zhao   +16 more
core   +1 more source

Daily maxima of storm surge from the Global Tide and Surge Reanalysis (GTSR) dataset

, 2013
GTSR (Global Tide and Surge Reanalysis) is the first global reanalysis of storm surges and extreme sea levels based on hydrodynamic modelling. GTSR covers the entire world's coastline and provides time-series of tides and storm surge from 1979-2014 ...
Muis, S. (Sanne)
core   +1 more source

Preliminary Comparison and Analysis of Air Temperature and SST Based on Reanalysis and Observation Data over Jiangsu Sea Area

Haiyang Kaifa yu guanli
The paper compared three reanalysis data by the air temperature and SST based on the observation data over the Jiangsu sea area. The results showed that the air temperature and SST of reanalysis data were highly consistent with the observation data ...
Qingqing GAO, Yongliu LI, Huifeng JI, Bing CAO, Yanzhe DING, Shuwen XU, Changsan XU   +6 more
doaj  

A critical reanalysis of supernova type Ia data

New Astronomy
25 pages, 7 figures, 13 ...
Ramanpreet Singh, Athul C.N., H.K. Jassal   +2 more
openaire   +2 more sources

Enabling reproducible re-analysis of single-cell data

Genome Biology, 2021
Michael A. Skinnider, Jordan W. Squair, Grégoire Courtine   +2 more
doaj   +1 more source

Learning physically interpretable deep networks from reanalysis data for medium-term regional PM2.5 forecasts

Environmental Research Letters
Medium-term regional forecasts of fine particulate matter (PM _2.5 ) are critical to mitigate its hazardous environmental effects. Deep learning (DL) has recently emerged as a promising technique to improve traditional forecasts based on chemistry ...
Mingming Zhu, Lin Wu, Marc Bocquet, Junji Cao, Lei Kong, Si Zhang, Wudi Cao, Xiao Tang, Hang Su, Jiang Zhu, Zifa Wang   +10 more
doaj   +1 more source

Effects of total cloud cover products on solar radiation estimation based on a radiation transfer model

International Journal of Digital Earth
Global solar radiation (GSR) is the most crucial energy source on Earth, but the effects of cloud on the existing remote sensing inversion of GSR remains uncertain.
Daodao Pan, Xiaojun Xu, Danna Chen
doaj   +1 more source

Multifractal Detrended Fluctuation Analysis of Temperature Reanalysis Data over Greece

Atmosphere, 2019
The Multifractal Detrended Fluctuation Analysis (MF-DFA) is used to examine the scaling behavior and the multifractal characteristics of the mean daily temperature time series of the ERA-Interim reanalysis data for a domain centered over Greece.
Kostas Philippopoulos, Nikolaos Kalamaras, Chris G. Tzanis, Despina Deligiorgi, Ioannis Koutsogiannis   +4 more
doaj   +1 more source

Assessment of atmospheric emissivity models for clear-sky conditions with reanalysis data. [PDF]

Sci Rep, 2023
Morales-Salinas L, Ortega-Farias S, Riveros-Burgos C, Chávez JL, Wang S, Tian F, Carrasco-Benavides M, Neira-Román J, López-Olivari R, Fuentes-Jaque G.   +9 more
europepmc   +1 more source

Reanalysis of Vernalization Data of Wheat and Carrot [PDF]

Annals of Botany, 1999
Abstract Vernalization is an important determinant of the growth, development, and yield of biennial and perennial crops. Accurate simulation of its response to temperature is thus an important component of successful crop systems modelling. Vernalization has a low optimum temperature compared to other temperature responses of plants, and thus may be
openaire   +1 more source