Detailed Interpretation and data resolution of sediment resources offshore Texas
Sector: Government • Location: United States of America
Source: Grants.gov
The purpose of this award is to conduct research in topics that serve the public interest relating to offshore sand resources, coastal restoration and protection, and coastal resiliency, as well as meet the MMP and Gulf states’ goal of a Gulf-wide OCS sediment inventory. Data in support of these goals promotes preservation of biological, cultural, and economic resources by rebuilding coastlines t
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
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 purpose of this award is to conduct research in topics that serve the public interest relating to offshore sand resources, coastal restoration and protection, and coastal resiliency, as well as meet the MMP and Gulf states’ goal of a Gulf-wide OCS sediment inventory. Data in support of these goals promotes preservation of biological, cultural, and economic resources by rebuilding coastlines to safeguard the Nation’s assets and delineates OCS mineral resources to inform long term planning and ensure protection from activities that might otherwise permanently obstruct access to the resource. UTIG will, in coordination with BOEM and GLO, resolve identified location discrepancies between the MMIS and TexSed databases for cores collected on the Texas OCS. In addition, UTIG will expand on regional analysis of the upper coast of Texas along Sabine and Heald banks and the outer Trinity Valley by providing a detailed interpretation using data collected but not interpreted under two prior BOEM cooperative agreements. |
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 |
