Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Ecological model support for the Biscayne Bay and Southeastern Everglades Restoration (BBSEER) Project, 2025: Tentatively Selected Plan, ALT32R Ecological model support for the Biscayne Bay and Southeastern Everglades Restoration (BBSEER) Project, 2025: Tentatively Selected Plan, ALT32R
Ecological models facilitate evaluation of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to management...
Synthesis of common themes within semi-structured interviews with members of the Everglades REstoration, COordination, and VERification (RECOVER) group Synthesis of common themes within semi-structured interviews with members of the Everglades REstoration, COordination, and VERification (RECOVER) group
Dataset of common themes that arose from semi-structured interviews with members of REstoration, COordination, and VERification (RECOVER), an interdisciplinary group of agencies, tribes, and institutions that conduct scientific evaluations and assessments to improve the implementation of the Comprehensive Everglades Restoration Plan (CERP). The interviews centered on the ability and...
Vegetation cover and surface elevation data in restored wetlands at the J.D. Murphree Wildlife Management Area, Texas, 2024 Vegetation cover and surface elevation data in restored wetlands at the J.D. Murphree Wildlife Management Area, Texas, 2024
Vegetation cover and surface elevation data were collected in restored marshes at the J.D. Murphree Wildlife Management Area in Texas, USA. Data were collected in late April and early May of 2024. Data were collected in 0.25 m² plots strategically placed along habitat transition zones between cover classes. Cover classes, listed from lowest to highest mean surface elevation, included...
Data for: UAS and high-resolution satellite imagery improve the accuracy of cheatgrass detection across an invaded Yellowstone landscape Data for: UAS and high-resolution satellite imagery improve the accuracy of cheatgrass detection across an invaded Yellowstone landscape
We mapped cheatgrass at different scales in the Greater Yellowstone Ecosystem using 10-m Sentinel-2 imagery, 3-m PlanetScope, and 10-cm Unoccupied Aerial Systems (UAS) imagery. We compared these maps to field-collected data to address 1) variation in seasonal phenological signals of native and cheatgrass patches, 2) the influence of scale on detectability and map accuracy across our...
Sediment computed tomography (CT) scans, photographs, and core-log descriptions from Conconully Reservoir, Okanogan County, WA, 2022-2023 Sediment computed tomography (CT) scans, photographs, and core-log descriptions from Conconully Reservoir, Okanogan County, WA, 2022-2023
This data release contains information on four sediment cores that were collected by the U.S. Geological Survey in Conconully Reservoir, Okanogan County, Washington, in June 2022 and October 2023. Data include the location each sediment core was collected, descriptions of the sediment profile of two of the cores (i.e., texture, color, structure, and visible constituents), photographs of...
Northeastern U.S. Suspended Particulate Matter Product, Derived from Landsat 5-8 (2000–2020) Northeastern U.S. Suspended Particulate Matter Product, Derived from Landsat 5-8 (2000–2020)
This dataset provides high spatial resolution (30 m) raster products of Suspended Particulate Matter (SPM) for the Northeastern United States over the past two decades (2000–2020). The product is derived from Landsat 5–8 using a particle composition-adaptive SPM retrieval algorithm (Teng et al., 2025) and is designed to resolve fine-scale coastal sediment dynamics that are not well...