Cooperative Ecosystem Studies Unit, Rocky Mountain CESU
Sector: Education • Location: United States of America
Source: Grants.gov
The U.S. Geological Survey¿s Core Science Analytics, Synthesis and Libraries (CSAS&L) organization is offering a funding opportunity entitled Research and development of a large scale data management and high performance scientific computing community framework for the Earth sciences to a partner within the Cooperative Ecosystems Studies Unit that has the ability to provide research, technical as
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The U.S. Geological Survey¿s Core Science Analytics, Synthesis and Libraries (CSAS&L) organization is offering a funding opportunity entitled Research and development of a large scale data management and high performance scientific computing community framework for the Earth sciences to a partner within the Cooperative Ecosystems Studies Unit that has the ability to provide research, technical assistance, and education on scientific computing methodologies, practices, tools, and emerging technologies. The resulting tools, publications, and best practices will be available via various USGS websites, Universities, State Agencies, and the USGS CSAS&L website at http://www.usgs.gov/core_science_systems/CSAS&L/index.html. All results of this research will be available to federal and non-federal natural resource research and management communities, their partners, other stakeholders, and the general public. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
