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Description

The ORNL DAAC Spatial Data Access Tool (SDAT) is a suite of Web-based applications that enable users to visualize and download spatial data in user-selected spatial/temporal extents, file formats, and projections. SDAT incorporates Open Geospatial Consortium (OGC) standard Web services, including Web Coverage Service (WCS), Web Map Service (WMS), and Web Feature Service (WFS). The SDAT provides ORNL DAAC-archived data sets and additional relevant data products including agriculture, atmosphere, biosphere, climate indicators, human dimensions, land surface, oceans, terrestrial hydrosphere data types, and related model output data sets.

Product Summary

Platforms
COMPUTERS
Instruments
Computer
Projects
DIS
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
1000-01-01 to 2100-12-31
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C3497216181-ORNL_CLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
3
Published
Updated
Science Keywords
Biogeochemical Cycles

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

ORNL DAAC. (2017). Spatial Data Access Tool (SDAT) (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1388 Date Accessed: 2026-09-28

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
Global hotspots of particulate organic carbon losses under climate change
  • Sun, Siyi, Cotrufo, M. Francesca, Viscarra Rossel, R. A., Mueller, Carsten W., Kida, Morimaru, Hardie, Ailsa G., Mackay, Alec, Krichels, Alexander H., Amelung, Wulf, Kumar, Amit, Suleymanov, Azamat, Shi, Baoku, Cosby, Bernard Jackson, Plaza, Cesar, Terrer, Cesar, Liang, Chang, Liao, Chang, Just, Christopher, Guo, Ding, Lugato, Emanuele, Hou, Enqing, Ding, Fan, Zhao, Fazhu, Tao, Feng, Maestre, Fernando T., Bilotto, Franco, Wu, Fuzhong, Garcia, Gisela V., Luo, Gongwen, Han, Guangxuan, Studdert, Guillermo A., Hernandez-Ramirez, Guillermo, Niu, Guoxiang, Pineiro, Gervasio, Saiz, Gustavo, Zhang, Haikuo, Abdelrahman, Hamada, Xu, Haodi, Lebron, Inma, Kurganova, Irina, Blesh, Jennifer, Kristensen, Jeppe A., Liu, Ji, Zhou, Jiacong, Wu, Jianping, Ahirwal, Jitendra, Cao, Junji, Olesen, Jrgen E., Kauer, Karin, Georgiou, Katerina, van Groenigen, Kees Jan, Van Oost, Kristof, Frimpong, Kwame Agyei, Deng, Lei, Benning, Liane G., Guo, Liang, Mujuru, Lizzie, Delgado-Baquerizo, Manuel, Dor, Maoz, Rahmati, Mehdi, Luo, Min, Kalinina, Olga, Hyvarinen, Olli, Garcia-Palacios, Pablo, Hansen, Paige, Rounak, Patra, Duan, Pengpeng, Zhao, Pengzhi, Homyak, Peter M., Ghimire, Rajan, Zydelis, Renaldas, Bol, Roland, Vibart, Ronaldo, Chang, Ruiying, Luo, Ruyi, Villarino, Sebastian, Xue, Shuai, Niu, Shuli, Chen, Shuotong, Yu, Tengfei, Hall, Steven J., Katterer, Thomas, Ge, Tida, Mbanjwa, Vusumuzi Erick, Semenov, Vyacheslav M., Liu, Weixing, Shi, Weiyu, Zhang, Wei, Wanek, Wolfgang, Buss, Wolfram, Cheng, Xiangrong, Lu, Xiankai, Shi, Xiaojun, Cheng, Xiaoli, Wei, Xiaorong, Liu, Xiaotong, Zhou, Xuhui, Kooch, Yahya, Zhong, Yangquanwei, Cai, Yanjiang, Yang, Yan, Luo, Yiqi, Zhang, Yixuan, Qin, Yunbin, Fang, Yunting, Liang, Yuting, Li, Yuyi, Chen, Zengming, Liu, Zhanfeng, Song, Zhaoliang, Luo, Zhongkui, An, Zhisheng, Chen, Ji
Global overlooked multidimensional water scarcity
  • Liu, Wenfeng, Fu, Zhonghao, van Vliet, Michelle T. H., Davis, Kyle Frankel, Ciais, Philippe, Bao, Yuzhuang, Bai, Yawei, Du, Taisheng, Kang, Shaozhong, Yin, Zun, Fang, Yu, Wada, Yoshihide
Novel temperatures are already widespread beneath the world's tropical forest canopies
  • Trew, Brittany T., Edwards, David P., Lees, Alexander C., Klinges, David H., Early, Regan, Svatek, Martin, Plichta, Roman, Matula, Radim, Okello, Joseph, Niessner, Armin, Barthel, Matti, Six, Johan, Maeda, Eduardo E., Barlow, Jos, do Nascimento, Rodrigo Oliveria, Berenguer, Erika, Ferreira, Joice, Sallo-Bravo, Jhonatan, Maclean, Ilya M. D.
Climate-induced tree-mortality pulses are obscured by broad-scale and long-term greening
  • Yan, Yuchao, Piao, Shilong, Hammond, William M., Chen, Anping, Hong, Songbai, Xu, Hao, Munson, Seth M., Myneni, Ranga B., Allen, Craig D.
CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic
  • Liu, Chong, Xu, Xiaoqing, Feng, Xuejie, Cheng, Xiao, Liu, Caixia, Huang, Huabing
A newly developed South American Mapping of Temperature with estimated lapse rate corrections
  • Rozante, Jose Roberto, Ramirez, Enver, Fernandes, Alex de Almeida
Landslide susceptibility mapping: improvements in variable weights estimation through machine learning algorithmsa case study of upper Indus River Basin ...
  • Imtiaz, Iqra, Umar, Muhammad, Latif, Muhammad, Ahmed, Rehan, Azam, Muhammad
Predicted impact of climate change on the distribution of the Critically Endangered golden mantella (Mantella aurantiaca) in Madagascar
  • Edwards, Wayne M.
Spatiotemporal evolutionary and mechanism analysis of grassland GPP in China
  • He, Panxing, Ma, Xiaoliang, Meng, Xiaoyu, Han, Zhiming, Liu, Huixia, Sun, Zongjiu
How predictable is short-term drought in the northeastern United States?
  • Carrillo, Carlos M., Evans, Colin P., Belcher, Brian N., Ault, Toby R.
How can biosphere models simulate enough vegetation biomass in the mountains of the western United States? Implications of meteorological forcing
  • Duarte, Henrique F., Raczka, Brett M., Bowling, David R., Wang, Aihui, Buotte, Polly C., Lin, John C.
Virtual laboratory for understanding impact of heterogeneity on ecohydrologic processes across scales
  • Wang, Kunxuan, Kumar, Praveen
Ecological niche modelling as a tool to identify candidate indigenous chicken ecotypes of Tigray (Ethiopia)
  • Gebru, Gebreslassie, Belay, Gurja, Vallejo-Trujillo, Adriana, Dessie, Tadelle, Gheyas, Almas, Hanotte, Olivier
Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data
  • Turini, Nazli, Thies, Boris, Horna, Natalia, Bendix, Jorg
Response of vegetation to drought in the Tibetan Plateau: Elevation differentiation and the dominant factors
  • Wang, Yijia, Fu, Bojie, Liu, Yanxu, Li, Yan, Feng, Xiaoming, Wang, Shuai
Climate and land cover change impacts on stormwater runoff in large-scale coastal-urban environments
  • Huq, Erfanul, Abdul-Aziz, Omar I.
Assessment of global crop yield volatility and its association with large scale climate, water and temperature variability
  • Najafi, Ehsan
Extraction of Irrigation Signals by Using SMAP Soil Moisture Data
  • Zhu, Liming, Zhu, A-Xing
A proportionality-based multi-scale catchment water balance model and its global verification
  • Zhang, Shulei, Yang, Yuting, McVicar, Tim R., Zhang, Lu, Yang, Dawen, Li, Xiaoyan
A statistical approach towards defining national-scale meteorological droughts in India using crop data
  • Udmale, Parmeshwar, Ichikawa, Yutaka, Ning, Shaowei, Shrestha, Sangam, Pal, Indrajit
Long-term nitrogen loading alleviates phosphorus limitation in terrestrial ecosystems
  • Chen, Ji, van Groenigen, Kees J., Hungate, Bruce A., Terrer, Cesar, van Groenigen, JanWillem, Maestre, Fernando T., Ying, Samantha C., Luo, Yiqi, Jrgensen, Uffe, Sinsabaugh, Robert L., Olesen, Jrgen E., Elsgaard, Lars
Modeling the potential distribution of Valeriana carnosa Sm. in Argentinean Patagonia: A proposal for conservation and in situ cultivation considering climate change ...
  • Nagahama, Nicolas, Bonino, Marcelo F.
Flash floods mitigation and assessment of groundwater possibilities using remote sensing and GIS applications: Sharm El Sheikh, South Sinai, Egypt
  • Yousif, Mohamed, Hussien, Hussien M.
The Climate of Conflict: Politico-environmental Press Coverage and the Eruption of the Mexican Revolution, 19071911
  • Wolfe, Mikael D.
Suitability of gridded climate datasets for use in environmental epidemiology
  • Spangler, Keith R., Weinberger, Kate R., Wellenius, Gregory A.
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