Sediment traps were deployed in tributaries to the San Juan River during 2021 and 2022. These traps collected sediment during storm events that typically occur as monsoonal convective storms from June to September. Because of the rural nature of the watershed, sediment traps were collected every 3 weeks so the sediment collected is a composite of that time period. The date listed is the date the trap was collected. This dataset includes the chemical concentrations of the sediment samples. Major ions are reported in weight percentage, while all other elements are reported in parts per million. Samples were fused at 750°C with sodium peroxide and the fusion cake dissolved in a dilute nitric acid. The resulting solution was analyzed by ICP-OES and ICP-MS. This method was done to include all of the rare earth elements. Results from this method may differ slightly from the results in the 49-element analysis because of the differences in digestion procedure. The 60 element dataset includes aluminum, calcium, iron, potassium, magnesium, phosphorous, sulfur, silicon, titanium, silver, arsenic, boron, barium, beryllium, bismuth, cadmium, cerium, cobalt, chromium, cesium, copper, dysprosium, erbium, europium, gallium, gadolinium, germanium, hafnium, holmium, indium, lanthanum, lithium, lutetium, manganese, molybdenum, niobium, neodymium, nickel, lead, praseodymium, rubidium, antimony, scandium, selenium, samarium, tin, strontium, tantalum, terbium, tellurium, thorium, thallium, thulium, uranium, vanadium, tungsten, yttrium, ytterbium, zinc, and zircon.

Sediment traps were deployed in tributaries to the San Juan River during 2021 and 2022. These traps collected sediment during storm events that typically occur as monsoonal convective storms from June to September. Because of the rural nature of the watershed, sediment traps were collected every 3 weeks so the sediment collected is a composite of that time period. The date listed is the date the trap was collected. This dataset includes the chemical concentrations of the sediment samples. Major ions are reported in weight percentage, while all other elements are reported in parts per million. Sediment samples in this dataset are digested using a mixture of hydrochloric, nitric, perchloric, and hydrofluoric acids at low temperature. The resulting solution is analyzed by ICP-OES and ICP-MS. The 49 element dataset includes aluminum, calcium, iron, potassium, magnesium, sodium, sulfur, silicon, titanium, silver, arsenic, barium, beryllium, bismuth, cadmium, cerium, cobalt, chromium, cesium, copper, gallium, hafnium, indium, lanthanum, lithium, lutetium, manganese, molybdenum, niobium, nickel, phosphorous, lead, rubidium, antimony, scandium, selenium, tin, strontium, tantalum, terbium, tellurium, thorium, thallium, thulium, uranium, vanadium, tungsten, yttrium, ytterbium, zinc, and zircon.

Sediment traps were deployed in tributaries to the San Juan River during 2021 and 2022. These traps collected sediment during storm events that typically occur as monsoonal convective storms from June to September. Because of the rural nature of the watershed, sediment traps were collected every 3 weeks so the sediment collected is a composite of that time period. The date listed is the date the trap was collected. This dataset includes the chemical concentrations of the sediment samples. Major ions are reported in weight percentage, while all other elements are reported in parts per million. Sediment samples in this dataset are digested using a mixture of hydrochloric, nitric, perchloric, and hydrofluoric acids at low temperature. The resulting solution is analyzed by ICP-OES and ICP-MS. The 49 element dataset includes aluminum, calcium, iron, potassium, magnesium, sodium, sulfur, silicon, titanium, silver, arsenic, barium, beryllium, bismuth, cadmium, cerium, cobalt, chromium, cesium, copper, gallium, hafnium, indium, lanthanum, lithium, lutetium, manganese, molybdenum, niobium, nickel, phosphorous, lead, rubidium, antimony, scandium, selenium, tin, strontium, tantalum, terbium, tellurium, thorium, thallium, thulium, uranium, vanadium, tungsten, yttrium, ytterbium, zinc, and zircon.

Sediment traps were deployed in tributaries to the San Juan River during 2021 and 2022. These traps collected sediment during storm events that typically occur as monsoonal convective storms from June to September. Because of the rural nature of the watershed, sediment traps were collected every 3 weeks so the sediment collected is a composite of that time period. The date listed is the date the trap was collected. This dataset includes the chemical concentrations of the sediment samples. Major ions are reported in weight percentage, while all other elements are reported in parts per million. Sediment samples in this dataset are digested using a mixture of hydrochloric, nitric, perchloric, and hydrofluoric acids at low temperature. The resulting solution is analyzed by ICP-OES and ICP-MS. The 49 element dataset includes aluminum, calcium, iron, potassium, magnesium, sodium, sulfur, silicon, titanium, silver, arsenic, barium, beryllium, bismuth, cadmium, cerium, cobalt, chromium, cesium, copper, gallium, hafnium, indium, lanthanum, lithium, lutetium, manganese, molybdenum, niobium, nickel, phosphorous, lead, rubidium, antimony, scandium, selenium, tin, strontium, tantalum, terbium, tellurium, thorium, thallium, thulium, uranium, vanadium, tungsten, yttrium, ytterbium, zinc, and zircon.

Elemental chemistry and weight percent of the less than 0.063 mm fine sediment fraction are reported for surface sediments from shoals, the ebb tide delta, local tributaries, and inland rivers that carry sediment to San Francisco Bay, California.

As part of the Navajo-Gallup Water Supply Project, the Bureau of Reclamation was tasked with design and construction of infrastructure to treat and deliver potable water to the communities of Navajo Nation, parts of the Jicarilla Apache Nation, and City of Gallup. The Bureau of Reclamation has been evaluating the Public Service Company of New Mexico's (PNM) San Juan Generating Station (SJGS) reservoir as a possible water storage and sediment settling basin for the Navajo-Gallup Water Supply Project. The U.S. Geological Survey (USGS), in cooperation with the Bureau of Reclamation, was tasked with collecting reservoir sediment cores and pore water from SJGS reservoir. This data release contains reservoir sediment organic chemistry results.

In 2019, soil samples were collected at selected sediment-retention ponds in the Gunnison Gorge National Conservation Area, near Delta, Colorado. This dataset includes pond location, pond characteristics, soil-moisture data, soil-chemistry data, and geophysical data. Pond locations were surveyed using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS) methods and incorporated as a single shapefile in Ponds.zip. Pond characteristics were assessed, and observations were made for assigned surficial-geologic unit, vegetation, check-dam condition, check-dam height, water holding capacity, and stream condition entering and exiting the pond. Pond-characteristic data are incorporated as a single comma-separated values (.csv) file (PondInventory.csv). Soil moisture and chemistry data characterize soil moisture, specific conductance, pH, total dissolved solids, and chloride at selected depths in the soil profile. Soil moisture and chemistry data are presented in a .csv file (SoilData.csv). Geophysical surveys were conducted using a Geophex GEM-2, a hand-held multi-frequency electromagnetic induction sensor. The geophysical surveys were conducted to evaluate soil conductivity differences in and around pond locations and are presented as the unprocessed data from the instrument as a .csv file in GEM-2 data.zip.

In 2019, soil samples were collected at selected sediment-retention ponds in the Gunnison Gorge National Conservation Area, near Delta, Colorado. This dataset includes pond location, pond characteristics, soil-moisture data, soil-chemistry data, and geophysical data. Pond locations were surveyed using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS) methods and incorporated as a single shapefile in Ponds.zip. Pond characteristics were assessed, and observations were made for assigned surficial-geologic unit, vegetation, check-dam condition, check-dam height, water holding capacity, and stream condition entering and exiting the pond. Pond-characteristic data are incorporated as a single comma-separated values (.csv) file (PondInventory.csv). Soil moisture and chemistry data characterize soil moisture, specific conductance, pH, total dissolved solids, and chloride at selected depths in the soil profile. Soil moisture and chemistry data are presented in a .csv file (SoilData.csv). Geophysical surveys were conducted using a Geophex GEM-2, a hand-held multi-frequency electromagnetic induction sensor. The geophysical surveys were conducted to evaluate soil conductivity differences in and around pond locations and are presented as the unprocessed data from the instrument as a .csv file in GEM-2 data.zip.

Four sediment cores were collected from the San Juan Generation Station reservoir. The sediments from each of these cores were described for physical properties and analyzed for inorganic elements. These data provide the initial field observations of reservoir sediments including grain size, color, and reaction with hydrogen peroxide and hydrochloric acid. Sediment inorganic chemistry data are also provided.

This dataset includes shallow surface sediment (top 0–2 cm interval) constituent concentration data (primarily) and microbial methylmercury production potential rate data (limited) collected from the Cache Creek Settling Basin (CCSB), Yolo County, California, between April 2010 and July 2017. The dataset includes up to 706 observations (including field replicates) per sediment parameter, reflecting 93 unique sampling locations, with each location having been sampled from 1 to 28 times (excluding field replicates) over this 8-year period. There were four spatially intensive field campaigns conducted (February–March 2013, May 2013, October–November 2014, and January–March 2015), during which at least 90 sites were sampled. A sub-set of 13 sites were sampled intensively (20–28 times, primarily during 2015–2017) to create a more detailed monthly time-series at these locations. Sampling was conducted over a range of hydrologic conditions, from periods when the basin was essentially dry (no overlying water, even in ‘open-water’ habitats) to periods when the basin was nearly fully flooded (most sites with overlying water). This data release includes six data tables given both as excel (*.xlxs) and machine readable format (*.csv): 1) ‘CCSB.SED_data.dictionary’, the Data Dictionary, which provides definitions and details related to the other five data tables and includes citations of analytical methods; 2) ‘CCSB.SED_2010-17’, the primary dataset with spatial/temporal sediment and pore water analyses; 3) ‘CCSB.SED_seq’, a sub-set of sediment samples (33 sites collected during May 2013) assayed for Hg using a 5-fraction sequential extraction procedure; 4) ‘CCSB.SED_grain.size’, data on detailed sediment grain-size distribution (by laser-scattering Coulter counter) for 615 unique samples (plus n=65 field duplicates); 5) ‘CCSB.SED_size.frac’, a sub-set of sediment samples (33 sites collected during May 2013) size-fractioned into 5 size classes and assayed for total mercury and limited suite of parameters, including particulate surface area (at 15 of the 33 sites); and 6) ‘CCSB.SED¬_QA’, quality assurance data summary. The mapping of the physical site locations can be found on the companion child page associated with this product (‘see associated items’).