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176 results for “New Jersey”
Fig. 1 in First Record of the Ectoparasitic Beaver Beetle,Platypsyllus castorisRitsema (Coleoptera: Leiodidae: Platypsyllinae), in New Jersey, U.S.A.
Fig. 1. Ventral view of Platypsyllus castoris taken from a beaver near Hyper Humus, Newton, Sussex Co., NJ.
Green New Jersey Union City Trash Container
Green trash container,with a few graffiti at alley way access to the mall Created with Polycam Source: Objaverse 1.0 / Sketchfab
Coastal Satellite Image Segmentation (Water and Land) Labels: Delmarva (USA), Virginia Beach (USA), New Jersey (USA), Long Island (USA), Duck, NC (USA), Northern Tuscany Littoral Cell (Italy), Torrey Pines, CA, (USA), Narrrabeen Beach (Australia), Truc Vert (France)
<p>Contained here are jpegs containing coastal RGB satellite images along with a water vs. land mask. Each image is 256 pixels by 256 pixels. </p> <p>Geographic scope: Delmarva (USA), Virginia Beach (USA), New Jersey (USA), Long Island (USA), Duck, NC (USA), Northern Tuscany Littoral Cell (Italy), Torrey Pines, CA, (USA), Narrrabeen Beach (Australia), Truc Vert (France)</p> <p>Temporal range: 1984 to 2022</p> <p>Satellites: Landsat 5, 7, 8 and Sentinel-2</p> <p>All images were downloaded from Google Earth Engine using CoastSat download tools.</p> <p>The datasets are arranged into 'train', 'val', and 'test' folders. Within each of those folders are two folders 'a' and 'b'. 'a' contains the images (RGB), whereas 'b' contains the labels (land vs. water mask).</p> <p>All images were augmented with the four following augmentations: horizontal flip, vertical flip, 90 degree clockwise rotation, 90 degree counterclockwise rotation, and a horizontal+vertical flip. </p> <p>For training a new segmentation model, it is advised to not do any of these rotational or flip augmentations since they have already been performed. Instead, possibly experiment with other augmentations like introducing noise into the imagery.</p> <p>These images were used to train an image-to-image translation generative adversarial network. The code and model weights (generator and discriminator) are available at <a href="https://github.com/mlundine/Shoreline_Extraction_GAN">https://github.com/mlundine/Shoreline_Extraction_GAN</a>.</p> <p>To get to the files locally, you can download the .zip from Zenodo and then unzip the .zip file.</p>
Distribution. SE Canada (S Ontario and S Quebec) and NE USA (W Maine, New Hampshire, Vermont, New York, Massachusetts, N Connecticut, N Rhode Island, Ohio, Pennsylvania, N New Jersey, West Virginia, NW Maryland, W Virginia, E Kentucky, E Tennessee, W North Carolina, extreme NE Georgia, and extreme NW South Carolina). in Talpidae
Distribution. SE Canada (S Ontario and S Quebec) and NE USA (W Maine, New Hampshire, Vermont, New York, Massachusetts, N Connecticut, N Rhode Island, Ohio, Pennsylvania, N New Jersey, West Virginia, NW Maryland, W Virginia, E Kentucky, E Tennessee, W North Carolina, extreme NE Georgia, and extreme NW South Carolina).
Distribution. SE Pennsylvania, extreme W New Jersey, NE West Virginia, N Maryland and N Delaware (NE USA). in Soricidae
Distribution. SE Pennsylvania, extreme W New Jersey, NE West Virginia, N Maryland and N Delaware (NE USA).
FIG. 3 in Plasma Vitellogenin and Testosterone in Diamond-backed Terrapins (Malaclemys terrapin) during the Nesting Season in Coastal New Jersey
FIG. 3. Plasma testosterone (A) and vitellogenin (B) concentrations in relation to midline plastron length in Diamond-backed Terrapins captured during early (June; green triangles), middle (early July; blue squares), and late (late July–early August; red circles) nesting season at the Cape May Peninsula, New Jersey and the Hackensack Meadowlands, New Jersey.
FIG. 1 in Plasma Vitellogenin and Testosterone in Diamond-backed Terrapins (Malaclemys terrapin) during the Nesting Season in Coastal New Jersey
FIG. 1. Mean plastron length (6 SEM) of Diamond-backed Terrapins captured during early (June), middle (early July), and late (late July– early August) nesting season. Dashed lines within each box indicate mean of data, while solid lines inside the boxes indicate the median. Varying letters indicate significant differences (P, 0.05) between sampling periods. Mean and median overlap in some categories, and both lines may not be visible.
FIG. 2 in Plasma Vitellogenin and Testosterone in Diamond-backed Terrapins (Malaclemys terrapin) during the Nesting Season in Coastal New Jersey
FIG. 2. Mean circulating plasma (A) testosterone concentration (6 SEM) and (B) vitellogenin concentration (6 SEM) of Diamond-backed Terrapins captured during early (June), middle (early July), and late (late July–early August) nesting season. Dashed lines within each box indicate mean of data, while solid lines inside the boxes indicate the median. Varying letters indicate significant differences (P, 0.05) between sampling periods. Mean and median overlap in some categories, and both lines may not be visible.
Sulforaphane in a New Jersey (NJ) Population of Individuals With Autism
ClinicalTrials.gov study NCT02677051. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Predictive habitat occupancy models for North American river otters along inland streams in New Jersey
Open the record for dataset details and reuse information.
Data from: Decline in milkweed (Asclepias syriaca) populations in central New Jersey over a one year period
Open the record for dataset details and reuse information.
Data from: Using metagenomics to show the efficacy of forest restoration in the New Jersey Pine Barrens
Open the record for dataset details and reuse information.
New Jersey Department of Environmental Protection Ambient Lake Monitoring Program, 2005-2009
This project was developed as a monitoring program that would address both the deficiencies cited in the 1999 USEPA's Office of Inspector General's Audit Report and the needs of the watershed management and water quality assessment (305(b)/303(d)) programs. This approach comports with the guidance provided in USEPA's publication, "Elements of a State Water Monitoring and Assessment Program," March 2003, which requires that states develop and implement long-term strategies that include monitoring of all state water body types including lakes. Data is collected to evaluate trophic status of selected lakes and assess the ecological health of the State's lentic water resources. This data is not expected to be compared with any existing data and is not expected to be used for any permitting, enforcement or TMDL development activities. Target population for monitoring was all lakes, man-made or natural, excepting water supply reservoirs, wholly or partially within the State of NJ political boundaries. A lake is defined as a permanent body of water of at least two hectares in surface, and a minimum depth of one meter. Lakes were selected randomly, using the USEPA - Generalized Random Tessellation Stratified (GRTS) survey design, but in a manner that equalizes selections over all Omernik level III ecoregions (6 within state). The New Jersey GIS coverage containing approximately 870 named lakes, meeting the design criteria, was used for the selection process. A total of 200 lakes were sampled, each sampled once every five years, with 40 lakes sampled per year.
Data from: Diet assessment of the Atlantic Sea Nettle Chrysaora quinquecirrha in Barnegat Bay, New Jersey, using next-generation sequencing
Next generation sequencing (NGS) methodologies have proven useful in deciphering the food items of generalist predators, but have yet to be applied to gelatinous animal gut and tentacle content. NGS can potentially supplement traditional methods of visual identification. Chrysaora quinquecirrha (Atlantic sea nettle) has progressively become more abundant in Mid-Atlantic United States' estuaries including Barnegat Bay (New Jersey), potentially having detrimental effects on both marine organisms and human enterprises. Full characterization of this predator's diet is essential for a comprehensive understanding of its impact on the food web and its management. Here we tested the efficacy of NGS for prey item determination in the Atlantic sea nettle. We implemented a NGS "shotgun" approach to randomly sequence DNA fragments isolated from gut lavages and gastric pouch/tentacle picks of 8 and 84 sea nettles, respectively. These results were verified by visual identification and co-occurring plankton tows. Over 550,000 contigs were assembled from ~110 million paired-end reads. Of these, 100 contigs were confidently assigned to 23 different taxa, including soft bodied organisms previously undocumented as prey species, including copepods, fish, ctenophores, anemones, amphipods, barnacles, shrimp, polychaete worms, flukes, flatworms, echinoderms, gastropods, bivalves, and hemichordates. Our results not only indicate that a "shotgun" NGS approach can supplement visual identification methods, but targeted enrichment of a specific amplicon/gene is not a prerequisite for identifying Atlantic sea nettle prey items.
New Jersey Synthetic Ecosystem
New Jersey synthetic population dataset consisting of tables for persons, households, schools, and workplaces. This dataset was created by the SPEW program from 2010 ACS SF 5-Year counts; 2010 US TIGER Roads; ACS PUMS 1-Year micro data; 2013 and 2011 NCES schools; and 2009 ESRI workplaces.
Fig. 32 in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 32. Eubaculites latecarinatus (Brunnschweiler, 1966). Uppermost New Egypt Formation and basal Hornerstown Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A–E. AMNH 47408. A, Right lateral; B, dorsal; C, ventral; D, left lateral; E, whorl cross section at adoral end. F–J. MAPS A2053c5. F, Right lateral; G, dorsal; H, ventral; I, left lateral; J, whorl cross section at adoral end. K–N. AMNH 47405. K, Right lateral; L, dorsal; M, ventral; N, left lateral. O– S. AMNH 47407. O, Right lateral; P, dorsal; Q, ventral; R, left lateral; S, whorl cross section at adoral end. T–X. AMNH 47419. T, Right lateral; U, dorsal; V, ventral; W, left lateral; X, whorl cross section at adoral end. Y. AMNH 47404, partly in nodule. Z. AMNH 50544, partly in nodule. All figures
Fig. 7. A–F in Additions to the Ammonite Fauna of the Upper Cretaceous Navesink Formation of New Jersey
Fig. 7. A–F. Baculites sp. A–C. NJSM 13439; D–F. NJSM 12931. Both specimens are from the Navesink Formation, Inversand Pit, Sewell, Gloucester County, New Jersey. G–I. Nostoceras (Nostoceras) hyatti Stephenson, 1941, MAPS A2004a3, pathological macroconch with only one row of ventral tubercles, lower phosphatic layer, Navesink Formation, Atlantic Highlands, New Jersey. All figures are X1.
Fig. 6 in Additions to the Ammonite Fauna of the Upper Cretaceous Navesink Formation of New Jersey
Fig. 6. Nostoceras (Nostoceras) hyatti Stephenson, 1941. A–C. MAPS A2004a1, microconch; D– F. MAPS A2004a2, macroconch. All specimens are from the lower phosphatic layer, Navesink Formation, Atlantic Highlands, New Jersey. All figures are X1.
Fig. 13 in Additions to the Ammonite Fauna of the Upper Cretaceous Navesink Formation of New Jersey
Fig. 13. Jeletzkytes cf. J. plenus (Meek, 1876), USNM 455380, cast (original specimen is lost), macroconch,?upper phosphatic level, Navesink Formation, Atlantic Highlands, New Jersey. All figures are X1.
Figure 11 from: Hicks A (2015) In the shadow of a megalopolis, a new Flexamia from a threatened grass species in the New Jersey Pine Barrens (Hemiptera, Cicadellidae, Deltocephalinae, Paralimnini). ZooKeys 511: 69-79. https://doi.org/10.3897/zookeys.511.9572
Figure 11 - Female, bases of valvulae. Within Flexamia these structures provide a means for specific identification of female specimens.
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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.