Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Valerie C Hendrix"'
Autor:
Robert Crystal-Ornelas, Charuleka Varadharajan, Dylan O’Ryan, Kathleen Beilsmith, Benjamin Bond-Lamberty, Kristin Boye, Madison Burrus, Shreyas Cholia, Danielle S. Christianson, Michael Crow, Joan Damerow, Kim S. Ely, Amy E. Goldman, Susan L. Heinz, Valerie C. Hendrix, Zarine Kakalia, Kayla Mathes, Fianna O’Brien, Stephanie C. Pennington, Emily Robles, Alistair Rogers, Maegen Simmonds, Terri Velliquette, Pamela Weisenhorn, Jessica Nicole Welch, Karen Whitenack, Deborah A. Agarwal
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-11 (2022)
Abstract Research can be more transparent and collaborative by using Findable, Accessible, Interoperable, and Reusable (FAIR) principles to publish Earth and environmental science data. Reporting formats—instructions, templates, and tools for consi
Externí odkaz:
https://doaj.org/article/1e6a75702e4f4784a5955da2d24c2368
Autor:
Maegen B. Simmonds, William J. Riley, Deborah A. Agarwal, Xingyuan Chen, Shreyas Cholia, Robert Crystal-Ornelas, Ethan T. Coon, Dipankar Dwivedi, Valerie C. Hendrix, Maoyi Huang, Ahmad Jan, Zarine Kakalia, Jitendra Kumar, Charles D. Koven, Li Li, Mario Melara, Lavanya Ramakrishnan, Daniel M. Ricciuto, Anthony P. Walker, Wei Zhi, Qing Zhu, Charuleka Varadharajan
Publikováno v:
Data Science Journal, Vol 21, Iss 1 (2022)
Scientific communities are increasingly publishing data to evaluate, accredit, and build on published research. However, guidelines for curating data for publication are sparse for model-related research, limiting the usability of archived simulation
Externí odkaz:
https://doaj.org/article/200e3de1b645481091e029f0a1585d22
Autor:
Charuleka Varadharajan, Deborah A. Agarwal, Wendy Brown, Madison Burrus, Rosemary W. H. Carroll, Danielle S. Christianson, Baptiste Dafflon, Dipankar Dwivedi, Brian J. Enquist, Boris Faybishenko, Amanda Henderson, Matthew Henderson, Valerie C. Hendrix, Susan S. Hubbard, Zarine Kakalia, Alexander Newman, Benjamin Potter, Heidi Steltzer, Roelof Versteeg, Kenneth H. Williams, Chelsea Wilmer, Yuxin Wu
Publikováno v:
IEEE Access, Vol 7, Pp 182796-182813 (2019)
The U.S. Department of Energy's Watershed Function Scientific Focus Area (SFA), centered in the East River, Colorado, generates diverse datasets including hydrological, geological, geochemical, geophysical, ecological, microbiological and remote sens
Externí odkaz:
https://doaj.org/article/6b33b86c619c40ec82b558ad705df3f6
Autor:
Charuleka Varadharajan, Alison P. Appling, Bhavna Arora, Danielle S. Christianson, Valerie C. Hendrix, Vipin Kumar, Aranildo R. Lima, Juliane Müller, Samantha Oliver, Mohammed Ombadi, Talita Perciano, Jeffrey M Sadler, Helen Weierbach, Jared D. Willard, Zexuan Xu, Jacob Zwart
Publikováno v:
Hydrological Processes, vol 36, iss 4
The global decline of water quality in rivers and streams has resulted in a pressing need to design new watershed management strategies. Water quality can be affected by multiple stressors including population growth, land use change, global warming,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d84d1fee57bc1f3874beb41278144ffb
https://escholarship.org/uc/item/9m7568rs
https://escholarship.org/uc/item/9m7568rs
Autor:
Charuleka Varadharajan, Valerie C. Hendrix, Danielle S. Christianson, Madison Burrus, Catherine Wong, Susan S. Hubbard, Deborah A. Agarwal
Diverse observational and simulation datasets are needed to understand and predict complex ecosystem behavior over seasonal to decadal and century time-scales. Integration of these datasets poses a major barrier towards advancing environmental scienc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a69e03acafdd66c41fad90d302ba7e06
https://escholarship.org/uc/item/6tp8n25g
https://escholarship.org/uc/item/6tp8n25g
Autor:
Valerie C Hendrix, Danielle S Christianson, Charuleka Varadharajan, Madison Burrus, Shreyas Cholia, You-Wei Cheah, Housen Chu, Robert Crystal-Ornelas, Joan E Damerow, Zarine Kakalia, Fianna O'Brien, Gilberto Pastorello, Emily Robles, Deb Agarwal
Diverse, complex data are a significant component of Earth Science’s “big data” challenge. Some earth science data, like remote sensing observations, are well understood, are uniformly structured, ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f1071add9e5d4b51e3bd7baccad12c7
https://doi.org/10.1002/essoar.10505754.1
https://doi.org/10.1002/essoar.10505754.1