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These data include dissolved silicon concentration and yield from 60 rivers across North America, the Caribbean, and Antarctica from 1964-2021 and are associated with the publication “Long-term change in concentration and yield of riverine dissolved silicon from the poles to the tropics”. Data were compiled from multiple public sources including the Long-term Ecological Research Network, Great Arctic Rivers Observatory, Upper Mississippi River Restoration program, and the U.S. Geological Survey. Concentration and yield estimates were generated by the Weighted Regressions on Time, Discharge and Season model (WRTDS; Hirsch et al. 2010). The dataset includes six files: discrete dissolved silicon data and daily discharge...
Categories: Data;
Tags: Antarctica,
North America,
Puerto Rico,
USGS Science Data Catalog (SDC),
Water Resources,
Seventy six parent and alkylated polycyclic aromatic compounds, including polycyclic aromatic hydrocarbons (PAHs), were quantified in watershed and reef sediment from Olowalu, Maui, in February 2022 to explore urban and wildfire effects. Sample locations and total organic carbon contents (OC) are available in the accompanying file OlowaluWatershedReef2022_compositions.csv.
Categories: Data;
Tags: CMHRP,
Coastal and Marine Hazards and Resources Program,
Kealaloloa Ridge,
Kihei,
Kulanihakoi Gulch,
Fine-sediment elemental chemistry, short-lived cosmogenic radionuclides (Beryllium-7, Cesium-137, and Lead-210), charcoal counts, and total organic carbon contents were quantified to describe urban and wildfire effects and land-based sediment sources and runoff to Olowalu Reef in February 2022.
Categories: Data;
Tags: CMHRP,
Coastal and Marine Hazards and Resources Program,
Kealaloloa Ridge,
Kihei,
Kulanihakoi Gulch,
This .zip file contains four products that will allow users to recreate the analyses and spatial data figures used in Sergeant et al. 2020, A classification of streamflow patterns across the coastal Gulf of Alaska: 1) Autoclass input and output files (provided as folders with multiple simple text files), 2) Classification data (.csv file) for individual watersheds, including Fundamental Daily Streamflow Statistics, landcover variables, and class membership, 3) Esri map package (.mpk file) that will allow users to recreate Figures 3 and 5 using ArcGIS and extract basic watershed-scale data such as watershed ID, drainage area, primary class assignment, and primary class membership probability (for users interested...
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