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This Solicitation opportunity from Department Of The Interior was posted on June 24, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Cooperative Agreement for affiliated Partner with the Chesapeake Watershed Cooperative Ecosystem Studies Unit

Closed
G26AS00149Grant

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

Active Opportunities Like This One

NAICS: 541360
New
SLED
Bedrock geologic mapping of the 1:24,000-scale Bethlehem quadrangle.
Solicitation # rfp-des-2026-29
The New Hampshire Department of Environmental Services and the New Hampshire Geological Survey are soliciting proposals for a two-year, non-exclusive contract to perform 1:24,000-scale bedrock geologic mapping of the Bethlehem Quadrangle in the White Mountains. The project requires the collection of field data regarding mineralogy, lithology, and structural orientations to produce geologic maps, with final GIS files delivered in the USGS Geologic Map Schema format. The contract has a maximum value of 57,133 dollars and a performance period extending through July 15, 2029, though the award is contingent upon the approval and funding of the federal USGS STATEMAP program. Proposals are due by October 19, 2026, and must include a signed cover page, a sealed price proposal, a current resume, and evidence of technical expertise in geologic mapping and digital map construction. Selection is based on a five-step evaluation process focusing on the highest scoring vendor rather than the lowest bid. Awarded contractors must maintain commercial general liability insurance with minimum limits of 1,000,000 dollars per occurrence and 2,000,000 dollars aggregate. Additionally, all deliverables must comply with Title II of the Americans with Disabilities Act, including WCAG 2.1 Level AA standards and NHDES Public Information Guidelines.
Department Of Environmental Services

POSTED

about 20 hours ago

DEADLINE

in 16 days
NAICS: 541360
New
SLED
Bedrock geologic mapping of the 1:24,000-scale Kingston quadrangle.
Solicitation # 0db909d6-c34d-486b-afc5-ece0c46b9fa9
The New Hampshire Department of Environmental Services and the New Hampshire Geological Survey are soliciting proposals for bedrock geologic mapping of the 1:24,000-scale Kingston Quadrangle in southeastern New Hampshire. The project requires the collection of field data on mineralogy, lithology, and structures to create a geologic map following United States Geological Survey patterns, symbols, and cartography. The resulting contract is expected to be a two-year agreement with a performance period extending to July 15, 2029, and a maximum cost of $58,300. Award and funding are contingent upon approval from the Governor and Executive Council of the State of New Hampshire and the receipt of USGS STATEMAP funding. Proposals are due by October 19, 2026, and will be evaluated through a multi-step process that is not based on the lowest bid. Vendors must achieve a minimum technical score of 80 points to have their price proposals reviewed. Evaluation criteria include the significance of the proposal, quality of the scope of work, content knowledge of geologic mapping principles, and technical skills in digital map construction and field data collection. Selected contractors must maintain commercial general liability insurance of at least $1,000,000 per occurrence and $2,000,000 aggregate, and all work products must comply with ADA Title II and WCAG 2.1 Level AA accessibility standards.
Department Of Environmental Services

POSTED

about 20 hours ago

DEADLINE

in 16 days
NAICS: 541360
New
SLED
IFB # 10222002 Canine Forensics Services
Solicitation # 10222002
The California Department of Water Resources is soliciting bids for canine forensic services to identify historic and prehistoric human remains, specifically focusing on prehistoric burial sites. The anticipated five-year contract involves conducting surveys at mitigation sites Pond 6, Pond 7, and Pond 8 in San Joaquin County, with potential expansion to other sites across Alameda, Contra Costa, Sacramento, San Joaquin, Solano, and Yolo counties. The selected contractor will be responsible for developing detailed field survey plans, executing on-the-ground detection surveys using GPS documentation, and providing comprehensive, confidential reports of their findings. To qualify, contractors must be experienced in detecting human remains and working with Tribal entities under nondisclosure agreements. Both personnel and canines must be certified in scent-specific historic human remains detection (HHRD), and canines must be current on all vaccinations, including rabies. The firm must demonstrate the capacity to survey projects exceeding 50 acres. Award will be based on the lowest responsible bid, with preferences applied for certified Small Businesses and Disabled Veteran Business Enterprises. Contractors are required to maintain significant insurance coverage, including Commercial General Liability of at least 1 million dollars per occurrence and 2 million dollars aggregate. Bids must be submitted by October 22, 2026, consisting of one hardcopy and one electronic version on a USB drive. Payment for services will be made monthly in arrears within 45 days of receiving an undisputed invoice, provided the DWR Contract Manager has issued written notice of satisfactory completion.
California Department of Water Resources

POSTED

about 20 hours ago

DEADLINE

in 19 days
NAICS: 541360
New
SLED
SPR892_879: Phase 3 CPT Wickiup
Solicitation # S-73000-00018071
The Oregon Department of Transportation (ODOT) is soliciting bids for solicitation S-73000-00018071 to perform Phase 3 Cone Penetrating Testing (CPT) and Seismic Cone Penetrating Testing (SCPTu) at US Route 97 Milepost 165.7. This project is a joint research effort between ODOT, Portland State University, and Oregon State University, focusing on a site characterized by diatomaceous soils. The selected contractor will provide all labor, equipment, and materials to conduct five CPT soundings, twelve U2 dissipation tests, and sixty-five shear wave velocity tests at one-meter intervals, adhering to ASTM D5778-20 standards. Key deliverables include a comprehensive text and graphical report submitted within 14 days of the final sounding, with electronic data provided in ASCII, CSV, or XLSX formats. The contract is awarded to the lowest responsive and responsible bidder, with a final completion date of November 17, 2027, and a designated winter no-work period. Performance is subject to strict safety and environmental guidelines, including ODOT Best Management Practices for drilling, OSHA standards, and specific restrictions regarding railroad track proximity. As a federal-aid highway project, the contract incorporates FHWA Form 1273 and requires compliance with Build America, Buy America regulations, Davis-Bacon prevailing wage provisions, and non-discrimination mandates. Invoicing occurs monthly by the 10th day, with payments typically issued within 30 calendar days, though ODOT may withhold 5 percent retainage.
Research

POSTED

3 days ago

DEADLINE

in 12 days

AI Contract Overview

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The U.S. Geological Survey through the Department of the Interior is seeking a Cooperative Ecosystem Studies Unit partner under solicitation G26AS00149 to advance geospatial artificial intelligence applications for automated landform mapping, enhance the Landform Reference Ontology using knowledge graphs, and improve the positional accuracy of summit features in the Geographic Names Information System using lidar-derived elevation data. This cooperative agreement focuses on cutting-edge geospatial research aimed at modernizing federal landform classification and naming standards through innovative AI and data integration techniques, with performance expected to contribute directly to national geospatial infrastructure. The solicitation, posted on June 24, 2026, has a response deadline of July 24, 2026, and is open to affiliated partners of the Chesapeake Watershed Cooperative Ecosystem Studies Unit. Interested parties must coordinate through the designated point of contact, Rachel Miller, reachable via email at rachel_miller@ios.doi.gov or phone at 916-278-9331. The project is funded by the federal government and does not specify a set-aside type or NAICS code, indicating broad eligibility under the CESU framework. While the place of performance and office address details are not provided, all work is expected to support USGS missions within the broader context of the Department of the Interior’s geospatial initiatives.

General Info

USGS seeks CESU partner to advance AI-driven landform mapping and geospatial standards using lidar and knowledge graphs.

Agency

Department Of The Interior → US Geological Survey

Place of Performance

Not specified

Set-Aside

NONE

Documents

5

Attachment D - Geospatial Data Instructions

DOCX, High priority: read this firstsow
High

Biographical Sketch Common Form DOI OMB 3145-0279

PDF, High priority: read this firstsow
High

Current and Pending (Other) Support Common Form November 2023

PDF, High priority: read this firstform
High

Funding Opportunity G26AS00149 for GeoAI Landform Mapping Research

DOCX, High priority: read this firstfunding-opportunity
High

Project Abstract Summary Requirement

DOCX, Low priorityother
Low

AI Contract Breakdown

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Timeline

PhaseClosed
Posted

Solicitation

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of The Interior → US Geological Survey
Contacts1 person available
OfficeUSA
Organization / Agency
Department Of The Interior → US Geological Survey
Office AddressUSA
Contacts

Full Description

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The U.S. Geological Survey (USGS) is offering a funding opportunity to a Cooperative Ecosystem Studies Unit (CESU) partner for research focused on advancing GeoAI-enabled automated landform mapping, expansion of the Landform Reference Ontology using knowledge graphs, and improving Geographic Names Information System (GNIS) summit feature positional accuracy using lidar-derived elevation datasets.

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