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15 results for “eastern US”
Meta-analysis of ecosystem services associated with oyster restoration on the Eastern and Gulf coasts of the US
We conducted a meta-analysis to systematically quantify the success and uncertainty of oyster reef restoration for a suite of biological, biogeochemical, and physical ecosystem services relative to both degraded and natural reference habitats. We focused on the eastern oyster, Crassostrea virginica. To evaluate whether restored eastern oyster reefs enhance ecosystem services relative to unaltered, degraded habitats and whether restored reefs provide ecosystem services equivalent to reference reefs, we synthesized data and calculated log response ratios for 245 restored-degraded reef pairs and 136 restored-reference reef pairs from 106 publications collected along 3500 km of U.S. Gulf of Mexico and Atlantic coastlines.
Stratigraphic Framework of the US Eastern North American Margin
<p>The current dataset consists of seismic picks, and structural and isopach maps that depict the stratigraphic division of the sedimentary cover of the US part of the Eastern North American Margin. The stratigraphic analysis is based on tied seismic and well data spanning the continental shelf, slope and rise from Cape Hatteras to the US-Canada maritime border. In addition, it incorporates published hydrostratigraphic data that divide the coastal plain sedimentary cover. File formats are GeoTiff and Zmap+ (grids) and .CSV and .shp (points). Seismic interpretation, well analysis, stratigraphic correlation and data curation were done as part of a PhD study (Lang, 2023). </p>
Planetary Boundary Layer Height Retrievals from the Cloud-Aerosol Transport System (CATS) around the US Southern Great Plains and the Eastern North Atlantic
<p>Planetary Boundary Layer Height (PBLH) retrievals in kilometers from the Cloud-Aerosol Transport System (CATS) around the DOE ARM US Southern Great Plains (SGP) and the Eastern North Atlantic (ENA), using a modified version of the Different Thermo-Dynamics Stability (DTDS) algorithm. Quality control Flags are included as follows:</p> <ul> <li>0 = 'Good Quality'</li> <li>1 = 'Mediate Quality'</li> <li>2 = 'Bad Quality'</li> </ul> <p>In addition, -999 values in the dataset represent no data. <br>The PBLH for daytime denoised CATS photon counts at SGP is named: "daytime-denoised-dtds-pblh-sgp.csv"<br>The PBLH for the original daytime and nighttime data at SGP and ENA, without denoising the data, are named: "original-cats-dtds-pblh-daytime-nighttime-sgp.csv" and "original-cats-dtds-pblh-daytime-nighttime-ena.csv"</p> <p>References: </p> <p>Roldán-Henao, N., Yorks, J., Su, T., Selmer, P., & Li, Z. (2024). Statistically Resolved Planetary Boundary Layer Height Diurnal Variability Using Spaceborne Lidar Data. <em>Remote Sensing. </em></p> <p>Su, T., Li, Z., & Kahn, R. (2020). A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions. <em>Remote Sensing of Environment</em>, <em>237</em>, 111519.</p>
White oak and red maple foliar chemistry of urban and reference forests of the eastern US
Foliar chemistry values were obtained from two important native tree species (white oak (Quercus alba L.) and red maple (Acer rubrum L.)) across urban and reference forest sites of three major cities in the eastern United States during summer 2015 (New York, NY (NYC); Philadelphia, PA; and Baltimore, MD). Trees were selected from secondary growth oak-hickory forests found in New York, NY; Philadelphia, PA; and Baltimore, MD, as well as at reference forest sites outside each metropolitan area. In all three metropolitan areas, urban forest patches and references forest sites were selected based on the presence of red maple and white oak canopy dominant trees in patches of at least 1.5 hectares with slopes less than 25%, and well-drained soils of similar soil series within each metropolitan area. Within each city, several forest patches were selected to capture the variation in forest patch site conditions across an individual city. All reference sites were located in protected areas outside of the city and within intermix wildland-urban interface landscapes, in order to target similar contexts of surrounding land use and population density (Martinuzzi et al. 2015). Several reference sites were selected for each city, located within the same protected area considered representative of rural forests of the region. White oaks were at least 38.1 cm diameter at breast height (DBH), red maples were at least 25.4 cm DBH, and all trees were dominant or co-dominant canopy trees. The trees had no major trunk cavities and had crown vigor scores of 1 or 2 (less than 25% overall canopy damage; Pontius & Hallett 2014). From early July to early August 2015, sun leaves were collected from the periphery of the crown of each tree with either a shotgun or slingshot for subsequent analysis to determine differences in foliar chemistry across cities and urban vs. reference forest site types. The data were used to invstigate whether differences in native tree physiology occur between urban
Morphometrics and nutrient concentration of farmed eastern oysters (Crassostrea virginica) from the US Northeast Region
<p><strong><u>Acknowledgements</u></strong></p> <p>This work was supported by the NOAA Fisheries Northeast Fisheries Science Center and the NOAA Fisheries Office of Aquaculture. Thanks to Marta Gomez-Chiarri, PG Harris, Mark Luckenbach, and Christine Thompson for sharing data, although these data were not included in the final repository.</p> <p><strong><u>Background Information</u></strong></p> <p>The removal of excess nitrogen from eutrophic environments is an ecosystem service provided by shellfish aquaculture that is well described in the literature (Lindahl et al., 2005; Rose et al., 2014; Petersen et al., 2014; Clements and Comeau, 2019). Nitrogen removal associated with shellfish farms can occur via three mechanisms: the assimilation of nitrogen into tissue and shell, which is removed from the waterbody when animals are harvested; the enhancement of sediment denitrification through biodeposit production on farms; and the long-term burial of biodeposits.</p> <p>A robust calculation of the nitrogen removed at shellfish harvest has been previously published using relatively simple metrics: the nitrogen concentration of tissue/shell, the number and mean size of animals harvested, and a conversion of animal size to tissue and shell dry weight (Reichert-Nguyen et al., 2016; Clements and Comeau, 2019). The quantity of nitrogen removed at shellfish harvest has been previously predicted with high confidence, which has led to the integration of oyster and clam aquaculture into nutrient management programs at the local and estuary scale in the United States (Town of Mashpee, 2015; Reichert-Nguyen et al., 2016; Reitsma et al., 2017).</p> <p>The data in this repository were compiled with the intention of expanding the geographic scope of calculation of nitrogen removal associated with harvested eastern oysters (<em>Crassostrea virginica</em>), and to evaluate variation in this ecosystem service across common cultivation practices and ploidy. Data were obtained from sampling locations across the US from the state of North Carolina north to the state of Maine. Data are included for both diploid and triploid oysters, and for three common styles of cultivation: oysters grown on bottom without the use of aquaculture gear, oysters grown in bottom cages, and oysters grown in floating gear at the sea surface. Data curation was undertaken to obtain a dataset that most closely reflects on-farm conditions as possible. The highest priority was to find data collected from working oyster farms, and a second priority was to identify data collected by scientists who employed common cultivation practices in their research studies. In one state within the region (Rhode Island) we were unable to locate data that fit the previous description, and instead have included data from wild oysters from waterbodies that have oyster farms.</p> <p>This data set was used to support the development of the Aquaculture Nutrient Removal Calculator (ANRC,<a href="https://connect.fisheries.noaa.gov/ANRC/">https://connect.fisheries.noaa.gov/ANRC/</a>), a tool designed for use by both shellfish farmers and managers within the aquaculture permit review process. The ANRC is a publicly available, simple online tool that was developed in direct response to feedback from aquaculture resource managers. The ANRC accurately predicts harvest-based nitrogen removal from an eastern oyster farm located within the geographic range of North Carolina to Maine, USA. We have taken an adaptive management approach to tool development, basing our tool on current best available scientific information, with the intention of maintaining and updating this tool when new information and data become available in the future.</p> <p><strong><u>Data Description</u></strong></p> <p>This repository contains information on morphometrics and nitrogen concentration of tissue and shell for eastern oysters sampled within the US geographic region spanning the states of North Carolina to Maine. Some of the data in this repository (6 of 10 sources) were previously published as summary statistics in the peer-reviewed literature, but the raw data included here were not archived. Three datasets were not previously published in raw or summary form. One dataset is publicly available in a technical report.</p> <p>The repository is organized with individual oysters as rows and numerical/categorical information associated with those oyster samples as columns. Each sample in the repository contains data on oyster shell height (mm), tissue dry weight (g), data source, ploidy, cultivation practice, and location of sample collection. The repository also contains additional information provided by data sources as available, such as shell dry weight, nitrogen, carbon, sampling date, oyster stock, and other morphometric measurements.</p> <p><strong><u>References</u></strong></p> <p>Clements, J.C., Comeau, L.A., 2019. Nitrogen removal potential of shellfish aquaculture harvests in eastern Canada: A comparison of culture methods. Aquaculture Reports 13, 100183.</p> <p>Lindahl, O., Hart, R., Hernroth, B., Kollberg, S., Loo, L.-O., Olrog, L., Rehnstam-Holm, A.-S., Svensson, J., Svensson, S., Syversen, U., 2005. Improving marine water quality by mussel farming - a profitable solution for Swedish society. Ambio 34, 129-136.</p> <p>Petersen, J.K., Hasler, B., Timmermann, K., Nielsen, P., Tørring, D.B., Larsen, M.M., Holmer, M., 2014. Mussels as a tool for mitigation of nutrients in the marine environment. Marine Pollution Bulletin 82, 137-143.</p> <p>Reichert-Nguyen, J., Cornwell, J., Rose, J., Kellogg, L., Luckenbach, M., Bricker, S., Paynter, K., Moore, C., Parker, M., Sanford, L., Wolinski, B., Lacatell, A., Fegley, L., Hudson, K., French, E., Slacum, W., 2016. Panel recommendations on the oyster BMP nutrient and suspended sediment reduction effectiveness determination decision framework and nitrogen and phosphorus assimilation in oyster tissue reduction effectiveness for oyster aquaculture practices, Report to the Chesapeake Bay Program. Available online at <a href="https://www.oysterrecovery.org/wp-content/uploads/2017/01/Oyster-BMP-1st-Report_Final_Approved_2016-12-19.pdf">https://www.oysterrecovery.org/wp-content/uploads/2017/01/Oyster-BMP-1st-Report_Final_Approved_2016-12-19.pdf.</a></p> <p>Reitsma, J., Murphy, D.C., Archer, A.F., York, R.H., 2017. Nitrogen extraction potential of wild and cultured bivalves harvested from nearshore waters of Cape Cod, USA. Marine Pollution Bulletin 116, 175-181.</p> <p>Rose, J.M., Bricker, S.B., Tedesco, M.A., Wikfors, G.H., 2014. A Role for Shellfish Aquaculture in Coastal Nitrogen Management. Environmental Science & Technology 48, 2519-2525.</p> <p>Rose J.M.,, Morse, R., and Schillaci, C. 2024. Development and application of an online tool to quantify nitrogen removal associated with harvest of cultivated eastern oysters. PLoS ONE 19(9): e0310062. https://doi.org/10.1371/journal.pone.0310062</p> <p>Town of Mashpee Sewer Commission, 2015. Comprehensive watershed nitrogen management plan, Town of Mashpee, Available online at http://www.mashpeewaters.com/documents.html.</p>
The national Fire and Fire Surrogate study: Effects of fuel treatments in the western and eastern US after 20 years
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Coastal carbon sentinels: A decade of forest change along the eastern shore of the US signals complex climate change dynamics
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Settlement-Era Tree Composition, Eastern US: Level 1
Witness tree counts within town/township polygons were tallied from early land survey records of town outlines and lotting subdivisions. Overall dates ranged from 1623 to 1870, but varied by town and were recorded about the time of first settlement of the town. A myriad of archived sources were tapped from town, state and national repositories, historical societies and private collections. The SetTreeComp_Northeast_Level1_v1.0 database includes records throughout the domain collated by Charles Cogbill, and include contributions from southern New England by John Burk, from the Catskills, New York by Robert McIntosh, and from the Finger Lakes, New York by Peter Marks. Every effort was used to avoid duplication of trees. The taxa classes were generally genera or unambiguous categories based on the vernacular names used by the surveyors. In several cases (black gum/sweet gum, ironwood, poplar/tulip poplar, cedar/juniper), because of ambiguity in the common tree names used by surveyors, a group represents trees from different families and even orders. This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.
Large grazers suppress a foundational plant and reduce soil carbon concentration in eastern US saltmarshes
<p>Supporting data for the submitted manuscript currently titled "Large grazers suppress a foundational plant and reduce soil carbon in eastern US saltmarshes". "Observational data Spr.Fall 2017.xlsx" contains all data collected for eastern US grazing survey. "Cumberland experiment.xlsx" contains all data collected for grazing experiment on Cumberland Island, GA, USA. Each data workbook contains a metadata tab to help guide users.</p>
On following pages 51 Pygmy Bamboo Bat (Tylonyctens pygmaea). 52 Indoma ayan Lesser Bamboo Bat (Tylonycreııs fu/vrda). 53 Sunda Lesser Bamboo Bat (Tylonycrers pachypus) 54 Tonkm Greater Bamboo Bat (Tylonycrerıs ronk nensrs) 55 Malayan Greater Bamboo Bat (Ty onyctens malayana) 56 Sumatran Greater Bamboo Bat (Tyloııycrerıs robusta/a) 57 Yok Don He meted Bat (Cass srre us yokdonens s) 58 Surat He meted Bat (Cassısrrel us dımıssus), 59 Rohu s Bat (Phıleror brachyptems). 60 Western False Prp strelle (Fels srrellus mackenzıeı), 61 Eastern False P pıstrelle (Fa s stre us rasmanıens s) 62 Ye ow-I pped Cave Bat (Vespade us douglasorum). 63 Northern Cave Bat (Vespade us caunnus). 64 Fmleysons Cave Bat (Vaspadelus fınlaysonı), 65 Eastern Cave Bat (Vespade us rroughtonı) 66 In and Forest Bat (Vespade us bavsrstodrı) 67 Eastern Forest Bat (Vespadelus pumılus), 68 Lıttle Forest Bat (Vespade/us vu/turnus) 69 Large Forest Bat (Vespadelus der! ngtonı), 70 Southern Forest Bat (Vespade us ragu us) 71 Large-eared P ed Bet (Cha noobus dwyerr) 72 L tt e Pıed Bat (Cha/ınolobus pıcarus). 73 Hoary Wettled Bet (Che/rnolobus rııgrogrısaus), 74 Gould's Wattled Bat (Chalınolobus gouldıı). 75 New Caledonıan Wattled Bat (Chalıno/obus neocaledonıcus) 76 Chocolate Wattled Bet (Chalnolobus morro), 77 New Zealand Long-taıled Bat (Chahnolobus ruberculetus) in Vespertilionidae
On following pages 51 Pygmy Bamboo Bat (Tylonyctens pygmaea). 52 Indoma ayan Lesser Bamboo Bat (Tylonycreııs fu/vrda). 53 Sunda Lesser Bamboo Bat (Tylonycrers pachypus) 54 Tonkm Greater Bamboo Bat (Tylonycrerıs ronk nensrs) 55 Malayan Greater Bamboo Bat (Ty onyctens malayana) 56 Sumatran Greater Bamboo Bat (Tyloııycrerıs robusta/a) 57 Yok Don He meted Bat (Cass srre us yokdonens s) 58 Surat He meted Bat (Cassısrrel us dımıssus), 59 Rohu s Bat (Phıleror brachyptems). 60 Western False Prp strelle (Fels srrellus mackenzıeı), 61 Eastern False P pıstrelle (Fa s stre us rasmanıens s) 62 Ye ow-I pped Cave Bat (Vespade us douglasorum). 63 Northern Cave Bat (Vespade us caunnus). 64 Fmleysons Cave Bat (Vaspadelus fınlaysonı), 65 Eastern Cave Bat (Vespade us rroughtonı) 66 In and Forest Bat (Vespade us bavsrstodrı) 67 Eastern Forest Bat (Vespadelus pumılus), 68 Lıttle Forest Bat (Vespade/us vu/turnus) 69 Large Forest Bat (Vespadelus der! ngtonı), 70 Southern Forest Bat (Vespade us ragu us) 71 Large-eared P ed Bet (Cha noobus dwyerr) 72 L tt e Pıed Bat (Cha/ınolobus pıcarus). 73 Hoary Wettled Bet (Che/rnolobus rııgrogrısaus), 74 Gould's Wattled Bat (Chalınolobus gouldıı). 75 New Caledonıan Wattled Bat (Chalıno/obus neocaledonıcus) 76 Chocolate Wattled Bet (Chalnolobus morro), 77 New Zealand Long-taıled Bat (Chahnolobus ruberculetus)
Data from: International collaboration and spatial dynamics of US patenting in Central and Eastern Europe 1981-2010
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Landsat-derived Spring and Autumn Phenology, Eastern US - Canadian Forests, 1984-2013
This dataset provides Landsat phenology algorithm (LPA) derived start and end of growing seasons (SOS and EOS) at 500-m resolution for deciduous and mixed forest areas of 75 selected Landsat sidelap regions across the Eastern United States and Canada. The data are a 30-year time series (1984-2013) of derived spring and autumn phenology for forested areas of the Eastern Temperate Forest, Northern Forest, and Taiga ecoregions.
NPP Multi-Biome: Production and Mortality for Eastern US Forests, 1962-1996, R1
There are two data files (tab-delimited .txt format) with this data set that provide estimates of above-ground biomass per county; county-level annual above-ground biomass growth, removals (harvest), and mortality of woody biomass per hectare; county-level total annual above-ground woody biomass production per hectare; forest area per county; mortality (%) in forests within each county; and total annual production and mortality per county. The data provide annual mean above-ground wood increments for temperate forests in 1,956 counties of the 28 eastern US states. The data are derived from forest inventory data from 1960s to 1990s that were collected from an extensive network of permanent inventory plots as part of the US Department of Agriculture Forest Service Forest Inventory and Analysis (FIA). Based on the analysis of the above-ground production data (Brown and Schroeder, 1999), above-ground production of woody biomass (APWB) for hardwood forests ranged from 0.6 to 28 Mg/ha/yr and averaged 5.2 Mg/ha/yr. For softwood forests, APWB ranged from 0.2 to 31 Mg/ha/yr and averaged 4.9 Mg/ha/yr. APWB was generally highest in southeastern and southern counties, mostly along an arc from southern Virginia to Louisiana and eastern Texas. No clear spatial pattern of mortality of woody biomass (MWB) existed, except for a distinct area of high mortality in South Carolina as a result of Hurricane Hugo in 1989. For hardwood forests, MWB ranged from 0 to 15 Mg/ha/yr and averaged 1.1 Mg/ha/yr. The average MWB for softwood forests was 0.6 Mg/ha/yr with a range of 0 to 10 Mg/ha/yr. The rate of above-ground MWB averaged <1%/yr for both hardwood and softwood forests. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2003.
Landsat-based Phenology and Tree Ring Characterization, Eastern US Forests, 1984-2013
This data set provides a 30-year record of Landsat TM and ETM+ derived forest phenology and the results of tree ring analyses for annual wood production and nitrogen and carbon isotopic composition at 113 selected forested sites in the eastern United States. The sites are located in four national parks: Prince William Forest Park (PRWI), Harpers Ferry National Historical Park (HAFE), Catoctin Mountain Park (CATO), and Great Smoky Mountains National Park (GRSM). Phenology and tree ring data cover 1984-2013.
ACT-America: CPL-derived Atmospheric Boundary Layer Top Height, Eastern US, 2016-2018
This dataset consists of the atmospheric boundary layer (ABL) top heights and the altitudes of the two additional aerosol layers (in km above mean sea level) derived from Cloud Physics Lidar (CPL) measurements using the Haar wavelet transform method. The CPL instrument was deployed onboard NASA's C-130 aircraft to obtain aerosol backscatter profiles during four ACT-America field campaigns (Summer 2016, Winter 2017, Fall 2017, and Spring 2018). CPL is a backscatter lidar designed to operate simultaneously at three wavelengths. The profiles were collected at 4-second temporal and 30 m vertical resolutions. The time resolution of the provided CPL-derived ABL top heights and other aerosol layers are 8 seconds.
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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.