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1 to 10 of 26,369 Results
Mar 14, 2024 - Simulated satellite and in situ sea surface salinity
Bingham, Frederick, 2024, "Simulated Aquarius Sea Surface Salinity", https://doi.org/10.15139/S3/GFAMIP, UNC Dataverse, V1
Simulated L2 and L3 Aquarius sea surface salinity data
Mar 14, 2024 - Simulated satellite and in situ sea surface salinity
Bingham, Frederick, 2024, "Simulated Soil Moisture Active Passive (SMAP) Sea surface Salinity", https://doi.org/10.15139/S3/XQDRAF, UNC Dataverse, V1
Simulated L2 and L3 Soil Moisture Active Passive (SMAP) Sea surface Salinity data
Mar 14, 2024 - Simulated satellite and in situ sea surface salinity
Bingham, Frederick, 2024, "Simulated Soil Moisture and Ocean Salinity (SMOS) Sea Surface Salinity", https://doi.org/10.15139/S3/4RVFZH, UNC Dataverse, V1
Simulated L2 and L3 Soil Moisture and Ocean Salinity (SMOS) sea surface salinity data
Mar 14, 2024 - Simulated satellite and in situ sea surface salinity
Bingham, Frederick; Brodnitz, Susannah; Westbrook, Elizabeth, 2024, "Simulated Argo Sea Surface Salinity", https://doi.org/10.15139/S3/5SLCEV, UNC Dataverse, V1
Simulated Argo float and L3 sea surface salinity data. The data are organized into an L2 Argo float data folder and an L3 Argo data folder. Inside the L2 folder, there are subfolders for simulated argo data at the original float concentration, and for 10, 20, 30, 40, 50, 60, 70,...
Mar 14, 2024 - Simulated satellite and in situ sea surface salinity
Bingham, Frederick, 2024, "ECCO Grid Sea Surface Salinity", https://doi.org/10.15139/S3/7TS0JV, UNC Dataverse, V1
L3 sea surface salinity data from ECCO model grids
Mar 14, 2024 - Simulated satellite and in situ sea surface salinity
Bingham, Frederick, 2024, "Simulated Global Tropical Moored Buoy Array (GTMBA) Sea Surface Salinity", https://doi.org/10.15139/S3/RQT5SJ, UNC Dataverse, V1
Simulated Global Tropical Moored Buoy Array (GTMBA) sea surface salinity data
Simulated satellite and in situ sea surface salinity(University of North Carolina Wilmington)
Mar 14, 2024Frederick Bingham Dataverse
This dataset is described in detail in Bingham et al. (2021a, 2021b; 2024), Westbrook et al. (2023) and Fournier et al. (2023). It contains simulated values of sea surface salinity (SSS) derived from the LLC4320 version of the ECCO (Estimating the Circulation and Climate of the O...
Mar 11, 2024 - A library-centered applied research program to advance digital equity for farmworkers in North Carolina (LG-252351-OLS-22)
Bloss, Jamie; Lee, Joseph GL; Russell, Roger; Roby, Mary; Cofie, Leslie; LePrevost, Catherine; Harwell, Emery; Reed, Elisabeth, 2024, "Aim 1", https://doi.org/10.15139/S3/DEEVD1, UNC Dataverse, V1
This dataset contains methodology documentation, codebooks, lab notebooks, and data related to aim 1 of the grant project. Aim 1's goal is to determine the accessibility of online information by estimating the prevalence of internet access for farmworkers in NC, the devices avail...
Mar 11, 2024East Carolina University Dataverse
East Carolina University's Laupus Health Sciences Library will work with NC State University Agromedicine Extension, NC Area Health Education Centers, NC Farmworker Health Program, Student Action with Farmworkers, and the NC Agriculture Digital Alliance to research and address di...
Mar 8, 2024 - Tuberculosis Data, Impact Assessment and Communications Hub
TB DIAH; PNLT (Programme national de lutte contre la tuberculose; Pont Santé Afrique (POSAF), 2024, "Quality of Tuberculosis Services Assessment (QTSA) in the Democratic Republic of the Congo (DRC)", https://doi.org/10.15139/S3/FRQW3B, UNC Dataverse, V2, UNF:6:IMdZQY5dJn2gnOT7GMbxFw== [fileUNF]
The Quality of Tuberculosis Services Assessment (QTSA) is conducted with the support of four tools: the Facility Audit, the Provider Interview, the Patient Interview, and the Register Review. MEASURE Evaluation—a project funded by the United States Agency for International Develo...
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