The product data are six statistics that were estimated for the chemical concentration of lanthanum in the soil C horizon of the conterminous United States (Smith and others, 2013). The estimates are made at 9998 locations that are uniformly distributed across the conterminous United States. The six statistics are the mean for the isometric log-ratio transform of the concentrations, the equivalent mean for the concentrations, the standard deviation for the isometric log-ratio transform of the concentrations, the probability of exceeding a concentration of 48.8 milligrams per kilogram, the 0.95 quantile for the isometric log-ratio transform of the concentrations, and the equivalent 0.95 quantile for the concentrations. Each statistic may be used to generate a statistical map that shows an attribute of the distribution of lanthanum concentration.

The product data are six statistics that were estimated for the chemical concentration of lithium in the soil C horizon of the conterminous United States. The estimates are made at 9998 locations that are uniformly distributed across the conterminous United States. The six statistics are the mean for the isometric log-ratio transform of the concentrations, the equivalent mean for the concentrations, the standard deviation for the isometric log-ratio transform of the concentrations, the probability of exceeding a concentration of 55 milligrams per kilogram, the 0.95 quantile for the isometric log-ratio transform of the concentrations, and the equivalent 0.95 quantile for the concentrations. Each statistic may be used to generate a statistical map that shows an attribute of the distribution of lithium concentration.

The product data are six statistics that were estimated for the chemical concentration of lithium in the soil C horizon of the conterminous United States. The estimates are made at 9998 locations that are uniformly distributed across the conterminous United States. The six statistics are the mean for the isometric log-ratio transform of the concentrations, the equivalent mean for the concentrations, the standard deviation for the isometric log-ratio transform of the concentrations, the probability of exceeding a concentration of 55 milligrams per kilogram, the 0.95 quantile for the isometric log-ratio transform of the concentrations, and the equivalent 0.95 quantile for the concentrations. Each statistic may be used to generate a statistical map that shows an attribute of the distribution of lithium concentration.

The product data are six statistics that were estimated for the chemical concentration of cobalt in the soil C horizon of the conterminous United States (Smith and others, 2013). The estimates are made at 9998 locations that are uniformly distributed across the conterminous United States. The six statistics are the mean for the isometric log-ratio transform of the concentrations, the equivalent mean for the concentrations, the standard deviation for the isometric log-ratio transform of the concentrations, the probability of exceeding a concentration of 24.4 milligrams per kilogram, the 0.95 quantile for the isometric log-ratio transform of the concentrations, and the equivalent 0.95 quantile for the concentrations. Each statistic may be used to generate a statistical map that shows an attribute of the distribution of cobalt concentration.

The product data are six statistics that were estimated for the chemical concentration of cobalt in the soil C horizon of the conterminous United States (Smith and others, 2013). The estimates are made at 9998 locations that are uniformly distributed across the conterminous United States. The six statistics are the mean for the isometric log-ratio transform of the concentrations, the equivalent mean for the concentrations, the standard deviation for the isometric log-ratio transform of the concentrations, the probability of exceeding a concentration of 24.4 milligrams per kilogram, the 0.95 quantile for the isometric log-ratio transform of the concentrations, and the equivalent 0.95 quantile for the concentrations. Each statistic may be used to generate a statistical map that shows an attribute of the distribution of cobalt concentration.

In 1978, the late Denis Marchand launched a project to identify, sample, and analyze soil profiles from seven soil chronosequences in the Western United States. The resulting datasets were compiled as part of a series of reports titled "Soil Chronosequences in the Western United States". Early studies of soil formation highlighted several key factors that together determine the degree of soil pedogenesis, which include climate, organisms (including vegetation), topography, and parent material (Jenny H.; 1941; Factors of Soil Formation, a System of Quantitative Pedology; https://doi.org/10.2134/agronj1941.00021962003300090016x). A soil chronosequence is defined as a series of soils in which all soil-forming factors except time are similar, where time is represented by soil or landform age. This compilation of chronosequences included soils developed on a variety of landforms including alluvial fans, fluvial terraces, glacial moraines, and marine terraces. The estimated age of these soils was based on a variety of chronological dating tools specific to each chronosequence and values range from modern-aged samples to samples that are three hundred thousand years old. At the time preceding this work, it was becoming clear from the marine record that the variations in climate and terrestrial processes were extensive with a paucity of numerical dating techniques applicable to the geologic record. The ubiquitous nature of soils made this project of critical importance to a better understanding of terrestrial processes. These data were originally published in analog form by individual authors in the U.S. Geological Survey Bulletin 1590 series, which was edited by J.W. Harden. Here, data from the original bulletin series including location, land cover, horizon depths, field morphology, color, texture, particle size, bulk density, organic carbon, pH, cation exchange capacity, dithionite extractable iron, major element abundance, trace element abundance, inorganic carbon content, and mineralogy, are compiled together as a single dataset in digital form. In addition, we have also compiled scanned field notes and site photographs that are associated with these publications. Furthermore, the original samples that were collected and analyzed associated with this dataset for the Colorado, Cowlitz, Kane Fans, Merced, Rock Creek, and Ventura chronosequences have been archived via the U.S. Geological Survey Soil Sample Archive (https://doi.org/10.5066/P90KTZW4).

In 1978, the late Denis Marchand launched a project to identify, sample, and analyze soil profiles from seven soil chronosequences in the Western United States. The resulting datasets were compiled as part of a series of reports titled "Soil Chronosequences in the Western United States". Early studies of soil formation highlighted several key factors that together determine the degree of soil pedogenesis, which include climate, organisms (including vegetation), topography, and parent material (Jenny H.; 1941; Factors of Soil Formation, a System of Quantitative Pedology; https://doi.org/10.2134/agronj1941.00021962003300090016x). A soil chronosequence is defined as a series of soils in which all soil-forming factors except time are similar, where time is represented by soil or landform age. This compilation of chronosequences included soils developed on a variety of landforms including alluvial fans, fluvial terraces, glacial moraines, and marine terraces. The estimated age of these soils was based on a variety of chronological dating tools specific to each chronosequence and values range from modern-aged samples to samples that are three hundred thousand years old. At the time preceding this work, it was becoming clear from the marine record that the variations in climate and terrestrial processes were extensive with a paucity of numerical dating techniques applicable to the geologic record. The ubiquitous nature of soils made this project of critical importance to a better understanding of terrestrial processes. These data were originally published in analog form by individual authors in the U.S. Geological Survey Bulletin 1590 series, which was edited by J.W. Harden. Here, data from the original bulletin series including location, land cover, horizon depths, field morphology, color, texture, particle size, bulk density, organic carbon, pH, cation exchange capacity, dithionite extractable iron, major element abundance, trace element abundance, inorganic carbon content, and mineralogy, are compiled together as a single dataset in digital form. In addition, we have also compiled scanned field notes and site photographs that are associated with these publications. Furthermore, the original samples that were collected and analyzed associated with this dataset for the Colorado, Cowlitz, Kane Fans, Merced, Rock Creek, and Ventura chronosequences have been archived via the U.S. Geological Survey Soil Sample Archive (https://doi.org/10.5066/P90KTZW4).

USSOILS is an Arc 7.0 coverage containing hydrology-relevant information for 10,498 map units covering the entire conterminous United States. The coverage was compiled from individual State coverages contained in the October 1994 State Soil Geographic (STATSGO) Data Base produced on CD-ROM. The geo-dataset USSOILS.PAT relates (on the basis of a map unit identifier) the 10,498 map units to 78,518 polygons. The scale of the geo-dataset is 1:250,000. The INFO attribute table USSOILS.MUID_ATTS contains selected variables from the STATSGO data set for 10,501 map units (an extra 3 map units are contained in the attribute table that are not in the geo-dataset - see the 'Procedures' section below), including: the map unit identifier, a 2-character state abbreviation, available water capacity of the soil, percent clay in the soil, the actual k-factor used in the water erosion component of the universal soil loss equation, the organic material in soil, soil permeability, cumulative thickness of all soil layers, hydrologic characteristics of the soil, quality of drainage, surface slope, liquid limit of the soil, share of a map unit having hydric soils, and the annual frequency of flooding. To facilitate mapping the attribute data, the narrative section below contains instructions for transferring the information contained in the attribute table USSOILS.MUID_ATTS to the polygon attribute table USSOILS.PAT. STATSGO United States Soil Water Capacity Clay Organic material Permeability Infiltration Drainage Hydric Flood frequency Slope

USSOILS is an Arc 7.0 coverage containing hydrology-relevant information for 10,498 map units covering the entire conterminous United States. The coverage was compiled from individual State coverages contained in the October 1994 State Soil Geographic (STATSGO) Data Base produced on CD-ROM. The geo-dataset USSOILS.PAT relates (on the basis of a map unit identifier) the 10,498 map units to 78,518 polygons. The scale of the geo-dataset is 1:250,000. The INFO attribute table USSOILS.MUID_ATTS contains selected variables from the STATSGO data set for 10,501 map units (an extra 3 map units are contained in the attribute table that are not in the geo-dataset - see the 'Procedures' section below), including: the map unit identifier, a 2-character state abbreviation, available water capacity of the soil, percent clay in the soil, the actual k-factor used in the water erosion component of the universal soil loss equation, the organic material in soil, soil permeability, cumulative thickness of all soil layers, hydrologic characteristics of the soil, quality of drainage, surface slope, liquid limit of the soil, share of a map unit having hydric soils, and the annual frequency of flooding. To facilitate mapping the attribute data, the narrative section below contains instructions for transferring the information contained in the attribute table USSOILS.MUID_ATTS to the polygon attribute table USSOILS.PAT. STATSGO United States Soil Water Capacity Clay Organic material Permeability Infiltration Drainage Hydric Flood frequency Slope