Displaying 1 - 10 of 40
Operations
Breckner, Miriam. 2019. Climatic and Geographic Determinants of Economic Development. [Economics] Sunde, Uwe. Ph.D.(ediss:23734): 155
Related URL(s): https://edoc.ub.uni-muenchen.de/23734/
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Thesis)
export
Burkhardt, Jesse; Bayham, Jude; Wilson, Ander; Carter, Ellison; Berman, Jesse D.; O'Dell, Katelyn; Ford, Bonne; Fischer, Emily V.; Pierce, Jeffrey R. 2019. The effect of pollution on crime: Evidence from data on particulate matter and ozone. [Journal of Environmental Economics and Management] . 98: 102267 DOI: https://doi.org/10.1016/j.jeem.2019.102267
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Chen, Siyu; Jiang, Nanxuan; Huang, Jianping; Zang, Zhou; Guan, Xiaodan; Ma, Xiaojun; Luo, Yuan; Li, Jiming; Zhang, Xiaorui; Zhang, Yanting. 2019. Estimations of indirect and direct anthropogenic dust emission at the global scale. [Atmospheric Environment] . 200: 50-60 DOI: https://doi.org/10.1016/j.atmosenv.2018.11.063
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Ding, Fangyu; Wang, Qian; Fu, Jingying; Chen, Shuai; Hao, Mengmeng; Ma, Tian; Zheng, Canjun; Jiang, Dong. 2019. Risk factors and predicted distribution of visceral leishmaniasis in the Xinjiang Uygur Autonomous Region, China, 2005–2015. [Parasites & Vectors] . 12(1): 528 DOI: https://doi.org/10.1186/s13071-019-3778-z
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
ENETwild Consortium,; Croft, Simon; Smith, Graham; Acevedo, Pelayo; Vicente, Joaquín. 2019. Wild boar in focus: initial model outputs of wild boar distribution based on occurrence data and identification of priority areas for data collection. [EFSA Supporting Publications] . 16(1): 1533E DOI: https://doi.org/10.2903/sp.efsa.2019.EN-1533
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Flockhart, D. T. Tyler; Larrivée, Maxim; Prudic, Kathleen L.; Ryan Norris, D. 2019. Estimating the annual distribution of monarch butterflies in Canada over 16 years using citizen science data. [FACETS] . 4(1): 238-253 DOI: https://doi.org/10.1139/facets-2018-0011
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
García de Jalón, S.; Burgess, P. J.; Curiel Yuste, J.; Moreno, G.; Graves, A.; Palma, J. H. N.; Crous-Duran, J.; Kay, S.; Chiabai, A. 2019. Dry deposition of air pollutants on trees at regional scale: A case study in the Basque Country. [Agricultural and Forest Meteorology] . 278: 107648 DOI: https://doi.org/10.1016/j.agrformet.2019.107648
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Geldmann, Jonas; Manica, Andrea; Burgess, Neil D.; Coad, Lauren; Balmford, Andrew. 2019. A global-level assessment of the effectiveness of protected areas at resisting anthropogenic pressures. [Proceedings of the National Academy of Sciences] . 116(46): 23209-23215 DOI: https://doi.org/10.1073/pnas.1908221116
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Han, Xian Xian; Li, Gao Yang; Lu, Wen Fang; Jiang, Yu Wu. 2019. Comparing statistical and semi-distributed rainfall–runoff models for a large subtropical watershed: A case study of Jiulong River catchment, China. [Atmosphere] . 10(2): 62 DOI: https://doi.org/10.3390/atmos10020062
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ulandsat
(Journal Article)
export
Jin, Kai; Wang, Fei; Chen, Deliang; Liu, Huanhuan; Ding, Wenbin; Shi, Shangyu. 2019. A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series. [Scientific Data] . 6(1): 139 DOI: https://doi.org/10.1038/s41597-019-0143-1
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export

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