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514 results for “North Carolina”
Diversity, seasonal abundance, and environmental drivers of chaetognath populations in North Inlet Estuary, South Carolina, USA
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Data from: Diving behavior of Cuvier's beaked whales (Ziphius cavirostris) off Cape Hatteras, North Carolina
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Data from: The impact of prescribed burning on native bee communities (Hymenoptera: Apoidea: Anthophila) in longleaf pine savannas in the North Carolina sandhills
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The ecological legacy effects of redlining on urban landscapes and bird communities in Durham, North Carolina
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Prevalence of Ranavirus, Batrachochytrium dendrobatidis, B. salamandrivorans, and Ophidiomyces ophiodiicola in Amphibians and Reptiles of North Carolina, USA
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Stream temperatures in the upper Little Tennessee and Chattooga River watersheds, Macon County, North Carolina, USA
We used HOBO Water Temp Pro v2 loggers to measure stream temperature at 10 minute intervals in 9 1st, 2nd and 3rd order streams in the upper Little Tennessee and Chattooga River watersheds, Macon County, North Carolina, U.S.A. The dataloggers were deployed in January and February 2020. Data collections are ongoing. Stream temperature data will be used to help assess the impacts of climate change and anthropogenic disturbances (e.g., removal of riparian vegetation and artificial ponds) on stream temperature in these smaller headwater streams.
Data from: Describing a developing hybrid zone between red wolves and coyotes in eastern North Carolina, USA
When hybridizing species come into contact, understanding the processes that regulate their interactions can help predict the future outcome of the system. This is especially relevant in conservation situations where human activities can influence hybridization dynamics. We investigated a developing hybrid zone between red wolves and coyotes in North Carolina, USA to elucidate patterns of hybridization in a system heavily managed for preservation of the red wolf genome. Using noninvasive genetic sampling of scat, we surveyed a 2880 km2 region adjacent to the Red Wolf Experimental Population Area (RWEPA). We combined microsatellite genotypes collected from this survey with those from companion studies conducted both within and outside the RWEPA to describe the gradient of red wolf ancestry. A total of 311 individuals were genotyped at 17 loci and red wolf ancestry decreased along an east–west gradient across the RWEPA. No red wolves were found outside the RWEPA, yet half of individuals found within this area were coyotes. Hybrids composed only 4% of individuals within this landscape despite co-occurrence of the two species throughout the RWEPA. The low proportion of hybrids suggests that a combination of active management and natural isolating mechanisms may be limiting intermixing within this hybrid system.
FIGURE 2 in The genus Milnesium (Tardigrada: Eutardigrada: Milnesiidae) in the Great Smoky Mountains National Park (North Carolina and Tennessee, USA), with the description of Milnesium bohleberi sp. nov.
FIGURE 2. Milnesium bohleberi sp. nov.— habitus (holotype). Scale bar units are micrometres.
North Carolina Synthetic Ecosystem
North Carolina 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.
Data from: Heuchera tuckasegeensis sp. nov. (Saxifragaceae), a New Species from Western North Carolina
<p>A new species of Heuchera (Saxifragaceae) from western North Carolina is described and illustrated herein, including phylogenomic and morphological analyses of its closest allies in the Heuchera parviflora group. Heuchera tuckasegeensis is distinguished from the other Heuchera taxa based on its distinct morphological attributes (style and stamen length, petiole and laminar hair length, and degree of leaf lobing), phylogenetic position, habitat preferences, and edaphic substrate specialization.</p>
Fig. 3 in Stenelmis hollandiWhite and Lenat (Coleoptera: Elmidae), a New Species of Riffle Beetle from the Little River, North Carolina, USA
Fig. 3. Typical Stenelmis hollandi riffle habitat on the Lower Little River, North Carolina.
FIGURE 7 in Cambarus ectopistes sp. nov., a new stream-dwelling crayfish (Decapoda: Cambaridae) from the French Broad, Pigeon, and Nolichucky River watersheds in the Appalachian Mountain region of North Carolina and Tennessee, USA
FIGURE 7. Examples of stream habitat in which C. ectopistes sp. nov. was encountered.
Distribution. Red Wolves exist only as a reintroduced population in E North Carolina, USA. in Canidae
Distribution. Red Wolves exist only as a reintroduced population in E North Carolina, USA.
FIG. 5. Morphotypes 1 and 2. A, B. Morphotype 1, VMNH 95900. C, D. Morphotype 2 in Remarkable Diversity Of Beetles (Coleoptera) In The Late Triassic (Norian) "Solite Deposit" Of Virginia And North Carolina
FIG. 5. Morphotypes 1 and 2. A, B. Morphotype 1, VMNH 95900. C, D. Morphotype 2, YPM IP 036448. Scale bars: 0.5 mm.
TemoaProject: Energy Storage Options for North Carolina
<p>This zenodo archive includes the Temoa code and data used to produce <a href="https://energy.ncsu.edu/storage/wp-content/uploads/sites/2/2018/12/NC-Storage-Study-FINAL.pdf">Energy Storage Options for North Carolina</a>. Temoa was used to evaluate the use of storage for bulk energy time shifting and peak capacity deferral, as described in Section 6.5.</p> <p>The data files are split into the capacity expansion and operational versions of the data. To begin, the capacity expansion runs are conducted to estimate the 2030 electricity generation mix in North Carolina. The optimal installed capacity is then fixed in the operational model, and the operational model is run to determine how storage with a fixed installed capacity and duration affects the objective function value. The change in objective function value, corresponding to the change in total system cost, is used to assess the net benefit associated with using storage for bulk energy time shifting and peak capacity deferral. (See report for more details.)</p> <p>The primary difference between the capacity expansion and operational versions of the model are the number of time slices. In the capacity expansion model, electricity supply and demand is balanced over a representative 24-hour period for each of the four seasons, for a total of 96 time slices per year. The operational model includes 8760 time slices per year, thereby representing every hour of the year, which allows us to better capture the value of storage.</p> <p>In terms of workflow, the capacity expansion runs were conducted with an input sqlite database file. Here we include the raw text-based sql file. It can be converted to a binary sqlite database file with the freely available sqlite program: https://www.sqlite.org. The results from the capacity expansion runs were automatically stored in the output tables associated with the same sqlite database. To run the operational version, capacity results are extracted from the capacity expansion sqlite file, and added to an input DAT file. These input DAT files are text-based files located in the scenario-specific folders for the operational runs. (Note that Temoa can run with either a sqlite or DAT file specified as input.)</p> <p>Each scenario folder for both the capacity expansion and operational runs also contain the config file used to run the model. Each model run was executed from the command line with the following syntax:</p> <p>$ python temoa_model/ --config=temoa_model/<config_file_name></p> <p>Note that the specific instance of the Temoa source code we ran corresponds to git commit hash 06edf7b883cee44ebd1129803f2145687c46bea0.<br> We verified the model code works with Pyomo versions 5.3 and 5.5.</p>
FIGURE 4 in Cambarus franklini, a new crayfish (Decapoda: Cambaridae) from the Catawba River Basin in western North Carolina, USA
FIGURE 4. Cambarus franklini morphotype in life (photo credit: Carl E. Williams).
Fig. 4 in New State Records and Notes on Coleoptera from North Carolina, USA, Including Rare and Poorly Known Species
Fig. 4. Dorsal habitus of Perothops muscidus collected from Union Co., North Carolina.
Fig. 3 in New State Records and Notes on Coleoptera from North Carolina, USA, Including Rare and Poorly Known Species
Fig. 3. Dorsal habitus of Oxylaemus americanus collected from Union Co., North Carolina.
Fig. 2 in New State Records and Notes on Coleoptera from North Carolina, USA, Including Rare and Poorly Known Species
Fig. 2. Dorsal habitus of Mychocerinus depressus collected from Union Co., North Carolina.
Fig. 1 in New State Records and Notes on Coleoptera from North Carolina, USA, Including Rare and Poorly Known Species
Fig. 1. Dorsal habitus of Ganascus ptinoides collected from Union Co., North Carolina.
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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.