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10 results for “mid-Atlantic Region”
Optimum seeding rate for biomass sorghum in response to harvesting and planting dates in the Mid-Atlantic regions
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Data from: Habitat risk assessment for regional ocean planning in the U.S. Northeast and Mid-Atlantic
Coastal habitats provide important benefits to people, including habitat for species targeted by fisheries and opportunities for tourism and recreation. Yet, such human activities also can imperil these habitats and undermine the ecosystem services they provide to people. Cumulative risk assessment provides an analytical framework for synthesizing the influence of multiple stressors across habitats and decision-support for balancing human uses and ecosystem health. To explore cumulative risk to habitats in the U.S. Northeast and Mid-Atlantic Ocean Planning regions, we apply the open-source InVEST Habitat Risk Assessment model to 13 habitats and 31 stressors in an exposure-consequence framework. In doing so, we advance the science priorities of EBM and both regional planning bodies by synthesizing the wealth of available data to improve our understanding of human uses and how they affect marine resources. We find that risk to ecosystems is greatest first, along the coast, where a large number of stressors occur in close proximity and secondly, along the continental shelf, where fewer, higher consequence activities occur. Habitats at greatest risk include soft and hard-bottom nearshore areas, tidal flats, soft-bottom shelf habitat, and rocky intertidal zones—with the degree of risk varying spatially. Across all habitats, our results indicate that rising sea surface temperatures, commercial fishing, and shipping consistently and disproportionally contribute to risk. Further, our findings suggest that management in the nearshore will require simultaneously addressing the temporal and spatial overlap as well as intensity of multiple human activities and that management in the offshore requires more targeted efforts to reduce exposure from specific threats. We offer a transparent, generalizable approach to evaluating cumulative risk to multiple habitats and illustrate the spatially heterogeneous nature of impacts along the eastern Atlantic coast and the importance of spatial scale in estimating such impacts. These results offer a valuable decision-support tool by helping to constrain the decision space, focus attention on habitats and locations at the greatest risk, and highlight effect management strategies.
Data from: A review of the lichens of the Dare Regional Biodiversity Hotspot in the Mid-Atlantic Coastal Plain of North Carolina, eastern North America
The results of a large-scale biodiversity inventory of lichens (including lichenicolous and allied fungi) in the Dare Regional Biodiversity Hotspot (DRBH) are presented. The DRBH is a region within the Mid-Atlantic Coastal Plain (MACP) of eastern North America that was recently delineated based on its unique and diverse lichen communities relative to other areas of the Atlantic Coast. Drawing on 4,952 newly generated voucher specimens from 49 sites, patterns of biodiversity and biogeography are presented and discussed within the context of both the DRBH and the broader MACP. Relationships between natural communities, vegetation, and lichen communities are discussed, as are threats to the lichen biota. A series of conservation actions are presented together with avenues for future study. In addition, supplementary resources are provided in the form of: (a) a checklist of DRBH lichens, lichenicolous fungi, and allied fungi; (b) keys to DRBH lichens and lichenicolous and allied fungi; and (c) formal descriptions of the following species new to science that were discovered during the inventory: Albemarlea pamlicoensis gen. et. sp. nov., Arthonia agelastica sp. nov. (on Lecanora louisianae B. de Lesd.), Arthonia hodgesii sp. nov. (on Graphis lineola), Arthonia stevensoniana sp. nov. (on Haematomma accolens), Lichenochora haematommatum sp. nov. (on Haematomma persoonii), Megalaria alligatorensis sp. nov., Minutoexcipula miniatoexcipula sp. nov. (on Pertusaria epixantha), Trichosphaerella buckii sp. nov. (on Punctelia rudecta).
Data from: A review of the lichens of the Dare Regional Biodiversity Hotspot in the Mid-Atlantic Coastal Plain of North Carolina, eastern North America
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Data from: Habitat risk assessment for regional ocean planning in the U.S. Northeast and Mid-Atlantic
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Datasets for Analyzing Tropical Cyclone Impacts on Hydrological Extremes in the Mid-Atlantic Region
<p>The data sets provided here were used for the climatological analysis of tropical cyclone impacts on hydrological extremes in the Mid-Atlantic region of the United States. This research was published in <em><strong>Environmental Research Letters</strong></em> <a href="http://doi.org/10.1088/1748-9326/ac2d6a">https://doi.org/10.1088/1748-9326/ac2d6a</a>.</p> <p>The data sets include:</p> <ul> <li><strong>hurdat_data/</strong> <ul> <li><strong>hurdat2-1950-2019_rev.txt:</strong> 6-hourly entires of hurricane tracks for all events occurring in the Atlantic region. The first column HURID matches the first column in the hurdat2-1950-2019_seq.txt</li> <li><strong>hurdat2-1950-2019_seq.txt</strong>: <ul> <li>1st column: HURID</li> <li>2nd column: event ID. For example, AL092011 means: AL (Spaces 1 and 2) – Basin – Atlantic; 09 (Spaces 3 and 4) – ATCF cyclone number for that year; 2011 (Spaces 5-8, before the first comma) – Year; </li> <li>3r column: event Name, if available, or else “UNNAMED” </li> <li>4th column: number of best track entries</li> </ul> </li> </ul> </li> <li><strong>usgs_gage/</strong> <ul> <li><strong>Content:</strong> daily streamflow records from USGS gages over 10/01/1950-9/30/2019</li> <li><strong>Format</strong>: <ul> <li>1st column: timestamp</li> <li>2nd column: daily mean flow (in cfs)</li> </ul> </li> </ul> </li> <li><strong>usgs_gage_list</strong> <ul> <li><strong>Content</strong>: Summary of USGS gages used in the analysis</li> </ul> </li> <li><strong>livneh_ppt.mat</strong> <ul> <li><strong>Content</strong>: Summary of precipitation data used in the analysis in Matlab structure array. The array includes statistics derived from precipitation records for 2857 grid cells (1/16 degree resolution) covering the Mid-Atlantic region. </li> </ul> </li> </ul>
Mid-Atlantic coastal region measurements in 2005
Measurements made near the mid-Atlantic coastal region of the continental shelf in 2005.
Mid-Atlantic coastal region measurements
Measurements made near the mid-Atlantic coastal region of the continental shelf in 2005 and 2006.
Photochemistry measurements made along the mid-Atlantic and New England coastal regions
Measurements made along the mid-Atlantic and New England coastal regions.
Mid-Atlantic coastal region and Monterey Bay measurements
Measurements made near the mid-Atlantic coastal region and Monterey Bay in 2005 and 2006.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.