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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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A global estimate of monthly vegetation and soil fractions from spatio-temporally adaptive spectral mixture analysis during 2001-2022

Authors: Qiangqiang Sun;

A global estimate of monthly vegetation and soil fractions from spatio-temporally adaptive spectral mixture analysis during 2001-2022

Abstract

This dataset is a global estimate of monthly vegetation and soil fractions using spatio-temporally adaptive spectral mixture analysis from 2001-2011. The file is a compressed month-by-month GeoTIFF data for each year, according to the grid of longitude 60° and Latitude 50°. Since the dataset for each year includes 216 files, named as “SMA_year_(month-1)_gridid.tif”, like “SMA_2001_0_0.tif”. The dataset from 2012-2022 can be found in another Zenodo (10.5281/zenodo.8331843) The dataset can be also exported from GEE by our code or achieved by request from authors. Here is a schematic of global girds and id 65N 2 5 8 11 14 17 15N 1 4 7 10 13 16 35S 0 3 6 9 12 15 150W 90W 30W 30E 90E 150E

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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