The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). It serves data collected by over 400 state, federal, tribal, and local agencies. Water quality…
The eDNA samples in the eDNAtlas database describe species occurrence locations and were collected by the U.S. Forest Service and numerous agencies that have partnered with the National Genomics Center for Wildlife and Fish Conservation (NGC) throughout the United States. The eDNAtlas is accessed via an interactive ArcGIS Online (AGOL) map that allows users to view and download sample site information and lab results of species occurrence for the U.S. The results are primarily based on samples analyzed at the National Genomics Center for Wildlife and Fish Conservation (NGC) and associated with geospatial attributes created by the Boise Spatial Streams Group (BSSG).
The bull trout (Salvelinus confluentus) eDNA survey results Online Map allows users to view the survey results in an interactive map by coupling 1) predictions from the range-wide, spatially precise Climate Shield model on the location of natal habitats of bull trout with 2) a sampling template for every 8-digit hydrologic unit in the historical range of bull trout, based on the probability of detecting bull trout presence using environmental DNA (eDNA) sampling. The map provides the ability to zoom in and look at an area of interest, as well as to create queries or select an area to download points as a shapefile.
Data from: Molecular evolutionary trends and feeding ecology diversification in the Hemiptera, anchored by the milkweed bug genome
The milkweed bug, Oncopeltus fasciatus, was sequenced as part of the i5k pilot project from Baylor College of Medicine (Illumina data). To augment those resources, we present here a hybrid genome assembly with low coverage PacBio data, assembled with PBJelly: the Oncopeltus fasciatus Hybrid Genome Assembly v1.0.
With the goal of automating bloom intensity estimation, a method a novel method for apple flower detection is presented in which a pre-trained convolutional neural network (CNN) is fine-tuned to become specially sensitive to flowers.
Data from: Data for the calculation of an indicator of the comprehensiveness of conservation of useful wild plants
The datasets and code presented in this Data in Brief article are related to the research article entitled "Comprehensiveness of conservation of useful wild plants: an operational indicator for biodiversity and sustainable development targets". These data facilitate indicator assessments and serve as a baseline against which future calculations of the indicator can be measured. The data can also contribute to other species distribution modeling, ecological research, and conservation analysis purposes.
Data from: Development of PLEAD: a database containing event-based runoff P loadings from agricultural fields
The P Loss in runoff Events from Agricultural fields Database (PLEAD) is a compilation of event-based, field-scale dissolved and/or total P loss runoff loadings from agricultural fields collected at various research sites located in the US Heartland and Southern US. The database also includes runoff…
Gene models for protein-coding genes in the genome of the rice coral Montipora capitata, Hawaii Island. Annotation was performed with Augustus v3.3.1, using RNA-seq data as extrinsic evidence. Gene structures (.gff), coding sequences (_cds.fas), and amino acid sequences (_aa.fas) are provided.
Data from: Vegetative Buffer Strips for Reducing Herbicide Transport in Runoff: Effects of Buffer Width, Vegetation, and Season
A multi‐year plot‐scale study was conducted on an eroded claypan soil to (1) assess the effects of buffer width, vegetation, and season on runoff transport of atrazine (ATR), metolachlor (MET), and glyphosate; (2) develop VBS design criteria for herbicides; and (3) compare differences in soil quality among vegetation treatments.
Data from: Rerouting of carbon flux in a glycogen mutant of cyanobacteria assessed via isotopically non‐stationary 13C metabolic flux analysis
Isotopically non‐stationary 13C metabolic flux analysis (INST‐13C‐MFA) is performed to analyze rerouting of carbon in a glycogen synthase deficient mutant strain (glgA‐I glgA‐II) of the model cyanobacterium Synechococcus sp. PCC 7002.