The NMEDB is a publicly available application that consolidates New Mexico's environmental and public health data in an interactive map of the state. The NMEDB allows agencies, the public, private industry, and conservation practitioners to obtain a comprehensive view of what's happening on New Mexico's landscapes to enable data-driven decisions and minimize negative impacts to human health, plants, animals, land, air, and water.

The database include both species richness data (from IUCN) and environmental data extracted at the global extent and at the catchment grain (HydroSHED) More information on this dataset can be found in the Freshwater Metadatabase - BF72 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF72).

This dataset provides all parameter values necessary to replicate the TIM/MCnest model analysis reported in the manuscript "Mechanistic modeling of insecticide risks to breeding birds in North American agroecosystems". This dataset is associated with the following publication: Etterson, M., K. Garber, and E. Odenkirchen. Mechanistic modeling of insecticide risks to breeding birds in North American agroecosystems. PLoS ONE. Public Library of Science, CA, USA, 1-23, (2017).

The data consist of measured feather concentrations of total mercury (THg) in six species of raptors sampled at Hawk Ridge, Duluth MN between 2009 and 2012. The species sampled were Sharp-shinned Hawk (Accipiter striatus), Northern Goshawk (Accipiter gentilis), Long-eared Owl (Asio otus), American Kestrel (Falco sparverius), Merlin (Falco columbarius), and Northern Harrier (Circus hudsonius). This dataset is associated with the following publication: Keyel, E., M. Etterson, G. Niemi, D. Evers, C. DeSorbo, J. Hoffman, J. Nichols, Y. Li, and F. Nicoletti. Feather mercury increases with feeding at higher trophic levels in two species of migrant raptors, Merlin (Falco columbarius) and Sharp-shinned Hawk (Accipiter striatus). The Condor. The Cooper Ornithological Society, Bend, OR, USA, 122: 1-17, (2020).

Neonicotinoid pesticides are applied to seeds and are known to cause lethal and sub-lethal effects in birds and mammals. Neonicotinoid-treated seeds could be available to wildlife through spillage or exposed seeds near or at the soil surface due to incomplete or shallow drilling. We quantified seed spills that may occur during loading or refilling the hopper at a landscape-scale using road-based surveys. We also quantified undrilled seeds in 1-m2 frames on the soil in the center and corner of fields to obtain estimates at the field scale. We broadcast seeds on the soil surface of a tilled field and left them for 0, 1, 2, 4, 8, 16, and 30 days to quantify neonicotinoid decrease under field conditions. Lastly, we documented wildlife at neonicotinoid-treated seed spills with trail cameras. We estimated the number of spills during planting to be 3,496 (95%CI: 1,855–5,138) and 2,609 (95%CI: 862–4,357) for corn, 11,009 (95%CI: 6,950–15,067) and 21,105 (95%CI: 6,162–36,048) for soybean, and 830 (95%CI: 160–1,500) and 791 (95%CI: 0–1,781) for wheat in 2016 and 2017, respectively. Exposed seeds were present at the soil surface in 35% of 71 fields. The probability that seeds were present on the soil surface was higher for soybeans (18.8 and 49.4% in the center and corners, respectively) than for corn (1.6 and 2.7%, respectively), and seed densities were also higher (1.04 vs 0.07 seeds/m2, respectively). Neonicotinoids decreased rapidly on seeds on the soil surface but persisted as long as 30 days. Over a dozen species of birds and mammals consumed seeds at simulated spills, with an average time for birds to find spills of 1.3 ± 1.5 days and an average time to consumption of 4.1 ± 3.4 days. Seeds are abundant on the soil surface for wildlife to consume during the spring planting season and should be considered in pesticide risk assessments. This dataset is not publicly accessible because: These data were generated by a non-EPA entity and that entity prefers to provide the data to the public using their procedures. A point of contact is provided in this record. It can be accessed through the following means: Please contact the primary author for these data. Dr. Charlotte Roy of the Minnesota Department of Natural Resources. Email address: charlotte.roy@state.mn.us. Format: The data are housed in Excel spreadsheets. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Understanding variation in physiological traits across taxa is a central question in evolutionary biology that has wide-ranging implications in biomedicine, disease ecology, and environmental protection. Sialic acid (Sia), and in particular, 5-N-acetylneuraminic acid (Neu5Ac), is chemically bound to galactose and the underlying glycan via α2–3 or α2–6 glycosidic linkage (i.e., Siaα2–3Galactose or Siaα2–6Galactose), conferring two different cell surface structures that affects cell to cell communication and interactions with foreign agents including microparasites and toxins. As an initial step towards understanding variation of Sia across the class Aves, we collected red blood cells (RBCs or erythrocytes) and measured Sia quantity in 76 species and 340 individuals using HPLC-MS/MS and glycosidic linkage type in 24 species and 105 individuals using hemagglutination assay. Although Sia quantity did not, α2–6 glycosidic linkage did exhibit a discernable phylogenetic pattern as evaluated by a phylogenetic signal (λ) value of 0.7. Sia quantity appeared to be higher in after hatch year birds than hatch year birds (P < 0.05); moreover, ~80% of the measured Sia across all individuals or species was expressed by ~20% of the individuals or species. Lastly, as expected, we detected a minimal presence of 5-N-glycolylneuraminic acid in the avian RBCs tested. These data provide novel insights and a large baseline dataset for further study on the variability of Sia in the class Aves which might be useful for understanding Sia dependent processes in birds. This dataset is not publicly accessible because: These data are not EPA-owned. It can be accessed through the following means: The data can be accessed by contacting the corresponding author of the manuscript. The corresponding author is Mark Jankowski (jankowski.mark@epa.gov). Alternatively, the data can be accessed by contacting the principle investigator of the funding entity, Jeanne Fair (jmfair@lanl.gov). Format: As described in the manuscript, several hundred birds were sampled to determine the quantity of sialic acid and the glycosidic linkage type present on the blood cell surface of those sampled birds. The information was used to summarize the variation of sialic acid on avian red blood cells from an individual and a phylogenetic perspective. Therefore, the dataset includes all sample identification information including date and location of sample acquisition, bird taxonomic information, and sialic acid results. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.