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3,422 results for “united states”
Southwest United States Wetland Water Quality and Macroinvertebrate Data 2018-2022
Water quality and macroinvertebrate data were collected between 2018 and 2020 from 14 different wetland and riparian sites spanning across West Texas, New Mexico, and Arizona. Water quality data such as Cl, SO4, and conductivity were collected as well as nutrients such as NO3, PO4, and Total Dissolved Nitrogen. Macroinvertebrate data were collected from all sites during the summer months (June, July, and August).
LAGOS-NE v.1.054.1 Lake water clarity time series (1987-2011), climate, and geophysical data for 601 lakes across a 17-state region of the United States
Time series of median summer water clarity (secchi) values from 601 unique lakes in the Midwest and Northeast United States. Water clarity observations were derived from the Lake Multi-Scaled Geospatial and Temporal Database LAGOS-NELIMNO version 1.054.1. These data were used to assess long-term changes in water clarity from 1987-2011, and the potential drivers of those trends (Lottig et al. in press). Summer open water period was used to approximate the stratified period in the study lakes, which was defined as June 15 to September 15. Over the 25-year time period, each lake had to have at least a single summer water clarity observation for 22 of 25 years. The median number of secchi measurements that were used to derive a single annual median value for each lake was approximately 9. Of the over 14,000 annual estimates of water clarity that we generated, only two percent of those annual values were generated from a single observation and median number of observations for each lake over the 25-year study period was 223. Each unique lake with water clarity data also has supporting geophysical data, including climate, land use, hydrology, and topography derived at multiple spatial scales. Lake-specific characteristics, such as depth and area, are also reported. The geospatial data came from LAGOS-NEGEO version 1.03 except for the annual climate data which was aggregated at the HUC8 spatial scale from monthly PRISM data. For more specific information on how LAGOS-NE was created, see Soranno et al. 2015. Citations: Lottig, N.R., P-N. Tan, T. Wager, K.S. Cheruvelil, P.A. Soranno, E.H. Stanley, C.E Scott, C.A. Stow, and S. Yuan. in press. Macroscale patterns of synchrony identify complex relationships among spatial and temporal ecosystem drivers. Ecosphere Soranno P.A., Bissell E.G., Cheruvelil K.S., Christel S.T., Collins S.M., Fergus C.E., Filstrup C.T., Lapierre J.-F., Lottig N.R., Oliver S.K., Scott C.E., Smith N.J., Stopyak S., Yuan S., Bremigan M.T., Downing J.A., G
Modeled maximum and mean lake depths for the contiguous United States
Depth regulates many attributes of aquatic ecosystems, but relatively few lakes are measured, and existing datasets are biased toward large lakes. To address this, we used a large dataset of maximum (Zmax; n = 16,831) and mean (Zmean; n = 5,881) depth observations to create new depth models, focusing on lakes < 1,000 ha. We then used the models to characterize patterns in lake basin shape and volume. We included terrain metrics, water temperature and reflectance, polygon attributes, and other predictors in a random forest model. Our final models generally outperformed existing models (Zmax R^2 = 0.35; RMSE = 8.1 m and Zmean R^2 = 0.36; RMSE = 3.0 m). Our models show that lake depth followed a Pareto distribution, with 2.8 orders of magnitude fewer lakes for an order of magnitude increase in depth. Additionally, despite orders of magnitude variation in surface area, most size classes had a modeled modal maximum depth of ~5 m. Concave (bowl-shaped) lake basins represented 79% of all lakes, but lakes were more convex (funnel-shaped) as surface area increased. Across the conterminous US, 9.8% of all lake water was within the top meter of the water column, and 48% in the top 10 m. Excluding the Laurentian Great Lakes, we estimate the total volume in the conterminous US is 1,068 to 1,298 km3, depending on whether Zmax or Zmean was modeled. Lake volume also exhibited substantial geographic variation, with high volumes in the upper Midwest, Northeast, and Florida and low volumes in the southwestern US.
Analysis of aboveground biomass in longleaf pine forests in southeast United States, 2015 to 2019
I obtained inventory data from the USDA Forest Inventory and Analysis (FIA) program, covering 1999 to 2022, focusing on eight southeastern states in the U.S. (Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, and Louisiana). For this study, I filtered the data for 2015-2019, during which the FIA captures 20% of plots in each state annually. Using R, I converted aboveground biomass (AGB) from pounds to kg/ha, tree height from feet to meters, and diameter at breast height (DBH) from inches to centimeters to align with the metric system. Structural diversity of tree height and diameter was calculated using the Shannon diversity index based on tree height and diameter classes. Climate data from PRISM and soil carbon to nitrogen data from the World Soil Database were integrated with the FIA data using the nearest neighbors method in the SF package in R. The combined dataset was standardized for Structural Equation Modeling (SEM) analysis.
Combined data on plant species abundance and composition from LTER and other grasslands in the United States, 1943 - 2010
Understanding how biotic mechanisms confer stability in variable environments is a fundamental quest in ecology, and one that is becoming increasingly urgent with global change. Several mechanisms, notably a portfolio effect associated with species richness, compensatory dynamics generated by negative species covariance and selection for stable dominant species populations can increase the stability of the overall community. While the importance of these mechanisms is debated, few studies have contrasted their importance in an environmental context. We compiled nine long-term datasets of grassland species composition to evaluate the strength of biotic mechanisms of community stability and assess how these mechanisms change across precipitation gradients. Data were collected in replicate plots over time at nine different sites throughout the US (replicates within a site range from 5-100, plot sizes from 0.1 m² to 17 m²; minimum 9 years, maximum 30 years). Species abundance was measured as either percent cover, biomass, or allometrically-derived biomass. At all sites the measurement techniques and management regimes remained constant over the collection period, and the data collection methods were not relativized. For example, sites in which species composition were measured as percent cover do not require their estimates to sum to 100. For sites with long-term experimental treatments, only the control plots were included. These data have been presented in: Lauren M. Hallett, Joanna S. Hsu, Elsa E. Cleland, Scott L. Collins, Timothy L. Dickson, Emily C. Farrer, Laureano A. Gherardi, Katherine L. Gross, Richard J. Hobbs, Laura Turnbull, Katharine N. Suding. 2014. Biotic mechanisms of community stability shift along a precipitation gradient. Ecology 95:1693–1700. http://dx.doi.org/10.1890/13-0895.1
American Residential Macrosystems - Soil chemistry data within parks and residential yards in six major metropolitan areas in the United States, 2017-2018
"In six major U.S. metropolitan cities (Boston, Baltimore, Los Angeles, Miami, Minneapolis St. Paul, and Phoenix), 1 meter soil cores were collected to evaluate soil microbial carbon and nitrogen cycle processes that are sensitive to land management. Laboratory methods followed those used by Raciti et al. (2011a,b) to measure microbial biomass carbon and nitrogen content, microbial respiration, potential net nitrogen mineralization, potential net nitrifcation, potential denitrifcation, and pools of extractable ammonium and nitrate. "
Fire history database of the western United States, 1994
To create a database of existing published and unpublished tree-ring reconstructions of fire regimes in forested areas, before circa 1900, west of 100 W longitude in the continental United States, exclusive of Alaska. The studies included in the database are restricted to tree-ring reconstructions of fire history and the information extracted includes citations to the data sources, site information, estimated fire regimes, and information on individual fire events (when readily available). Fire regimes vary greatly across short distances in the western United States, so that a reconstruction of fire history over a small area may not represent the history of a larger area. Therefore, we extracted information on the size of the study area and the amount of fire evidence (number of trees scarred and/or number of tree origin dates) used in computing the fire regimes to allow the user to gauge the applicability of each reconstruction to larger areas.
Dimensions, cover, volumes, mass and nutrient stores of Coarse Woody Debris (bark and wood from logs, snags, and stumps) from forests plots in the western United States and Mexico, 1977 to 2005
These data provide an inventory of the mass and nutrients stored within various forest types by coarse woody debris (CWD). CWD inventoried includes standing dead trees (greater than 10 cm diameter at breast height) and dead and downed wood (greater than 10 cm large end and >1 long). The majority of measurements are from permanent sample plots associated with the Andrews LTER permanent sample plots network. This includes clusters of plots at and near the H. J. Andrews Experimental Forest (OR), Cascade Head Experimental Forest (OR), Mount Rainier National Park (WA), Olympic National Park (WA), and Fraser Experimental Forest (CO). There are also data from plots in the Yucatan in Mexico; however, the live tree data for these plots is not available. The species of CWD inventoried are primarily those found in the Pacific Northwest; the dominants being Douglas-fir, western hemlock, mountain hemlock, western redcedar, Pacific silver fir, noblel fir, lodgepole pine, ponderosa pine, sitka spruce, and Englemann spruce. The majority of measurements were made in the 1975 to 1995 period; however plots are periodically remeasured and the intent to eventually remeasure all the plots except those in Mexico. In each plot measurements of log and snag dimensions (length and diameters), as well as decay class and species were recorded in the stands (td01201 file). These dimension data are combined with data on density and nutrient content for each species and decay class (td01202 file) and plot area and slope (td01203 file) to calculate CWD volume, cover, biomass and nutrient storage (td01204 file). When data on density and nutrient concentrations is not known, a list of substitutions is used (td01206). The adjust tree diameters if measurements are taken at the base of the dead tree, taper regressions are used (td01205).
Throw trap and electrofishing data collected during 1996–2022 from the Everglades, Florida, United States for the publication "Contrasting invasion histories and effects of three non-native fishes observed with long-term monitoring data"
This dataset was used to analyze the effects of three non-native fishes in the Florida Everglades for a publication in the journal Biological Invasions. The dataset incorporates plot-level mean densities (# of individuals per square meter) of common aquatic animals collected during 1996–2022 from 17 sites across three regions of the Everglades: Taylor Slough, Shark River Slough, and Water Conservation Area 3A. Prey species included are nine common small fishes and three common decapod species (two crayfish species and grass shrimp). The dataset includes throw trap data on three predator taxa: African Jewelfish (Hemichromis letourneuxi), Mayan Cichlids (Mayaheros uruphthalmus), and sunfishes (Lepomis spp.). Annual indices of mean wet season electrofishing catch-per-unit-effort of Asian Swamp Eels (Monopterus albus/javanesis), Mayan Cichlids, sunfishes, and the three other large 'top predator' fishes (Amia calva, Lepisosteus platyrhincus, Micropterus salmoides) are included for plots where electrofishing was performed from 1997-2021. Hydrologic measures used in analyses and R code used to conduct analyses are also included.
Synthesis of Sea level rise and carbon accumulation rates in United States tidal wetlands
Coastal wetlands accumulate soil carbon more efficiently than terrestrial systems, but sea level rise potentially threatens the persistence of this prominent carbon sink. Here, we combine a published dataset of 372 soil carbon accumulation rates from across the United States with new analysis of 131 sites in coastal Louisiana. The combined database featured 503 measurements of carbon accumulation, spanning broad gradients in mean annual temperature, tide range, and dominant vegetation.
Figures 66–71. Stenotothorax schneppi, n in New species of Stenotothorax Schmidt from the northwestern United States (Coleoptera: Scarabaeidae: Aphodiinae)
Figures 66–71. Stenotothorax schneppi, n. sp. 66) Dorsal habitus. 67) Ventral habitus. 68) Lateral habitus. 69) Oblique anterior view head to elytral base. 70) Epipharynx. 71) Male genitalia, lateral view.
Figures 10–15. Stenotothorax spp. characters. 10–14 in New species of Stenotothorax Schmidt from the northwestern United States (Coleoptera: Scarabaeidae: Aphodiinae)
Figures 10–15. Stenotothorax spp. characters. 10–14) Stenotothorax pronotal and elytral bases. 10) S. niviviator, complete pronotal marginal bead, rounded strial margin. 11) S. odontomonteus, reduced pronotal marginal bead, rounded strial margin (inset shows cross section of rounded margin). 12) S. lahontanensis, pronotal marginal bead absent, sharply edged strial margin. 13) S. winnemucca, pronotal marginal bead absent, sharply edged strial margin. 14) S. wintoni, pronotal marginal bead absent, sharply edged strial margin, note striae also wider towards base (inset shows cross section of sharp edge). 15) S. wintoni, fused elytra removed exposing strap-like hind wings.
Figures 1–9. Stenotothorax spp. characters. 1–2 in New species of Stenotothorax Schmidt from the northwestern United States (Coleoptera: Scarabaeidae: Aphodiinae)
Figures 1–9. Stenotothorax spp. characters. 1–2) Extreme age-related wear on Stenotothorax spp.; note lack of clypeal teeth, smoothing and dulling of clypeal surface granulations, and reduction of protibiae. 1) S. wintoni. 2) S. schneppi. 3) Deformity on a S. woodleyi, note apparent tubercle is not centered on head. 4–9) Stenotothorax species heads. 4) S. niviviator. 5) S. odontomonteus. 6) S. nevadensis (Nevada, Washoe Co., Washoe Lake). 7) S. winnemucca. 8) S. lahontanensis, narrow head. 9) S. wintoni, broad head.
Figures 16–23 in New species of Stenotothorax Schmidt from the northwestern United States (Coleoptera: Scarabaeidae: Aphodiinae)
Figures 16–23. Stenotothorax protibiae dorsal (top) and ventral (bottom) surfaces. Note abrasions on ventral surfaces. 16, 20) S. ovipennis, lacking secondary dorsal row of setae. 17, 21) S. wintoni, with secondary dorsal row of setae proximal of basal tooth. 18, 22) S. comosus, with coarse setose punctures on ventral surface, female with sparse setae on medial margin. 19, 23) S. winnemucca, with coarse setose punctures on ventral surface, male with denser setae on medial margin. Arrow points to secondary row of setae.
Figure 29 in A remarkable new species of Himalusa Pace from Thailand (Coleoptera, Staphylinidae, Aleocharinae): phytophagous aleocharine beetle with potential for bio-control of skunkvine-related weeds in the United States
Figure 29. Himalusa thailandensis: a larva that emerged from a swollen petiole of Paederia sp. leaf.
Fig. 1-2 in New Cryptophagus H , 1792 (Coleoptera: Cryptophagidae) from Arizona (United States of America)
Fig. 1-2: (1) Cryptophagus coombsi nov.sp. holotype, male; (2) Cryptophagus latens WOODROFFE & COOMBS, 1961.
Figures 1-4. Adult Rivula. 1 in A New Species of Rivula Guenée (Lepidoptera, Noctuidae) from Southeastern United States
Figures 1-4. Adult Rivula. 1. Rivula pusilla Möschler. 1.4 mi WSW Anthony, Marion Co., Florida, 2 Jan. 2006, Terhune Dickel. 2. Rivula propinqualis Guenée. Edmundston, New Brunswick, 8 Sept 1987, Henry Hensel. 3. Rivula stepheni Sullivan. Holotype. Macpherson Creek, Ft. Bragg, Cumberland Co., N.C., 20 June 2001. J. Bolling Sullivan. 4. Rivula stepheni Sullivan. Croatan National Forest Road 3046, Craven Co., N.C., 7 April 1998, J. Bolling Sullivan.
Figures 11-12 in A New Species of Rivula Guenée (Lepidoptera, Noctuidae) from Southeastern United States
Figures 11-12. Female genitalia of Rivula. 11. Rivula stepheni Sullivan. Craven Co., N. C. (JBS 2212). 12. Rivula propinqualis Guenée. Alleghany Co., N. C. (JBS 2210).
Figures 5-10 in A New Species of Rivula Guenée (Lepidoptera, Noctuidae) from Southeastern United States
Figures 5-10. Male genitalia of Rivula. 5. Rivula stepheni Sullivan. Valves. Craven Co., N. C. (JBS 2290). 6. Aedeagus. Same data as valves. 7. Rivula propinqualis Guenée. Valves. Edmundston, New Brunswick (CNC Noc. 14849). 8. Aedeagus. Same data as valves. 9. Rivula pusilla Möschler. Valves. Marion Co., Florida (CNC Noc 14848). 10. Aedeagus. Same data as valves.
Figs. 46 and 47 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 46 and 47. Vespa tropica color forms. (a) Lateral view. (b) Dorsal view. (c) Front view of face.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.