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11,758 results for “Coastal”
Long-term Plant Biomass Monitoring Data from the Georgia Coastal Ecosystems LTER Project on Sapelo Island, Georgia
The Georgia Coastal Ecosystems LTER program (GCE) monitors plant biomass annually with the goal of testing the hypothesis that end-of-year biomass varies as a function of 1) freshwater discharge from the Altamaha River (especially in low-marsh plots), 2) local rainfall (especially in high-marsh plots), and 3) average sea level. In 2000 we created permanent plots at all 10 GCE marsh monitoring sites. Plots were established at creek-bank and mid-marsh sites (8 plots per zone per site). Most sites are dominated by Spartina alterniflora (smooth cordgrass), but zones at some sites are dominated by Juncus roemerianus, Spartina cynosuroides, or Zizaniopsis miliacea. An additional marsh zone (high marsh Juncus) was established at site 10 in 2005 and site 9 in 2012 to increase replication of sites with Juncus. Plants have been non-destructively monitored in October of every year from 2000 to the present, measuring the stem count, height and flowering status of every plant in each plot. Stem clipping samples were also collected adjacent to plots in 2002, 2007, and 2020, then measured, dried, weighed and statistically analyzed in order to generate allometric regression relationships between height and mass for estimation of plant biomass in corresponding plots. This data set includes cumulative long-term observations of plant stem count, height and biomass per marsh zone, plot and species at 10 GCE LTER sampling sites from 2000 to 2023, and will be updated annually to include the prior year observations.
Long-term Hydrographic Mooring Data from the Georgia Coastal Ecosystems LTER Salinity Monitoring Program - Primary 30 Minute Observational Data
Conductivity, temperature and sub-surface water pressure were measured continuously at fixed hydrographic moorings distributed across the Georgia Coastal Ecosystems LTER study area to document spatial and temporal variability of salinity and its relationship to water level and river discharge. Mooring locations were chosen to span the salinity gradient as well as to take advantage of existing physical infrastructure (e.g. docks or pilings) for mounting instruments and proximity to marsh study sites. Eight moorings were established between 2001 and 2003 to characterize salinity patterns in the three primary sounds in the GCE domain (Sapelo, Doboy and Altamaha), and a ninth mooring was added near a freshwater tidal forest along the Altamaha River in 2014. Observations were logged at 30 minute intervals by Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately quarterly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms, and short-duration gaps (<6 hours) due to instrument swaps, quality control analysis or brief data interruptions were filled by interpolation. Long-duration gaps due to instrument or mooring loss were filled with null values to produce a monotonic time series. This data set includes cumulative 30 minute observations at all 9 moorings through 31-Dec-2022, and will be updated annually to include observations from the prior year.
Long-term Hydrographic Mooring Data from the Georgia Coastal Ecosystems LTER Salinity Monitoring Program - Daily Summarized Data
Conductivity, temperature and sub-surface water pressure were measured continuously at fixed hydrographic moorings distributed across the Georgia Coastal Ecosystems LTER study area to document spatial and temporal variability of salinity and its relationship to water level and river discharge. Mooring locations were chosen to span the salinity gradient as well as to take advantage of existing physical infrastructure (e.g. docks or pilings) for mounting instruments and proximity to marsh study sites. Eight moorings were established between 2001 and 2003 to characterize salinity patterns in the three primary sounds in the GCE domain (Sapelo, Doboy and Altamaha), and a ninth mooring was added near a freshwater tidal forest along the Altamaha River in 2014. Observations were logged at 30 minute intervals by Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately quarterly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms, and short-duration gaps (<6 hours) due to instrument swaps, quality control analysis or brief data interruptions were filled by interpolation. Long-duration gaps due to instrument or mooring loss were filled with null values to produce a monotonic time series. Values flagged as invalid were then removed and interpolated up to 6 hours, and daily-summarized values were calculated by statistical aggregation. This data set includes the daily-summarized data at all 9 moorings through 31-Dec-2022, and will be updated annually to include observations from the prior year.
Monthly Vegetation and Invertebrate Population Monitoring near the Georgia Coastal Ecosystems LTER Flux Tower
Permanent study plots were established in a Spartina alterniflora-dominated marsh in the vicinity of the Georgia Coastal Ecosystems LTER Flux Tower to provide measurements of plant biomass and invertebrate population density over time for comparison with marsh-atmospheric CO2 exchange. Six replicate plots were randomly placed within each of three height zones of Spartina alterniflora (i.e. short, medium and tall Spartina). Beginning in June 2013, surveys were conducted approximately monthly to determine abundance of Littoraria irrorata, Prokelisia marginata, and grasshoppers in each plot. Plant species, stem density, height, and flowering status were also measured in each of the plots, and biomass was calculated using allometric relationships between plant height, flowering status and mass from plant clipping studies. During these surveys, destructive core sampling was also performed in the proximity of the plots (n = 2 per zone - additional cores collected some months in 2014 and 2016) to measure above and below ground biomass for each Spartina zone. Beginning in February 2016, chlorophyll measurements were taken in the proximity of the plots in each Spartina zone (n = 15 per zone).
Long-term Mollusc Population Abundance and Size Data from the Georgia Coastal Ecosystems LTER Fall Marsh Monitoring Program
This data set includes long-term observational data on mollusc species abundance and size distribution at 10 Georgia Coastal Ecosystems marsh sites used for annual plant and invertebrate population monitoring. Infaunal and epifaunal molluscs were hand-collected from within quadrats of known area in mid-marsh and creekbank zones (n = 4 quadrats per zone) at all sites annually in October. Molluscs were also collected from an additional high marsh Juncus zone (n = 4 quadrats) at several sites beginning in 2009. The molluscs were returned to the lab, preserved in ethanol, identified and counted to determine species abundance and density in each plot. The length of each measurable individual was then determined using calipers or an ocular micrometer mounted in a stereomicroscope to determine mollusc size. Population abundance and size measurement data are reported separately by site, zone, plot and species because analyses were performed at different times, specimens were not individually identifiable, and not all individuals were measureable. This data set includes cumulative long-term observations from 2000 to 2022, and will be updated annually to include the prior year observations.
Long-term Burrowing Crab Population Abundance Data from the Georgia Coastal Ecosystems LTER Fall Marsh Monitoring Program
This data set includes long-term observational data on burrowing crab abundance at 10 Georgia Coastal Ecosystems marsh sites used for annual plant and invertebrate population monitoring. Crab abundance was determined by performing surveys of crab hole occurance within replicate 625 square centimeter quadrats and converting the counts to number per square meter. Surveys were performed annually during October within the mid-marsh and creek bank zones at GCE marsh study sites 1 through 10 (i.e. n = 4 per zone at each site). Surveys were also performed in an additional high marsh Juncus zone at several sites beginning in 2009 (i.e. n = 4 quadrats per site). Note that this census method does not differentiate which species made a particular hole and therefore only estimates total burrowing crab abundance, potentially including species Uca pugnax, Uca minax, Uca pugilator, Armases cinereum, Eurytium limosum, Sesarma reticulatum and Panopeus spp. Crab holes that are not actively maintained are quickly covered by tidal activity and other sediment disturbances, therefore plugged holes were assumed to be unoccupied and excluded from the counts. This data set includes cumulative observations from 2000 to 2023, and will be updated annually to include the prior year observations.
Above- and below-ground non-structural carbohydrates (NSC) in Spartina alterniflora from 6 permanant plots near the Georgia Coastal Ecosysterms LTER flux tower, on Sapelo Island in Georgia, USA
We studied the dynamics of four non-structural carbohydrates (glucose, fructose, sucrose, and starch) and biomass in 8 different above- and below-ground tissues in Spartina alterniflora over the course of a year in a salt marsh on Sapelo Island, Georgia, USA. Tissue parts sampled included green leaves, green stems, yellow leaves, yellow stems, brown leaves and stem, flowers, belowground biomass from 0-10cm depth and belowground biomass from 10-30cm depth. Samples were collected from tall form S. alterniflora plots near the Georgia Coastal Ecosystems LTER flux tower site monthly between September 2013 and August 2014. This study was conducted to support the development of predictive, mechanistic models of Spartina by providing information on below-ground biomass and its dynamics, and in particular the storage of resources that can be used for spring re-growth.
Long-term Barnacle Settlement Near Creekbank Plots from the Georgia Coastal Ecosystems LTER Fall Marsh Monitoring Program
This data set includes long-term observational data on barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean. PVC poles were deployed to passively sample barnacle settlement. Eight poles were deployed between 4-5 meters apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species occur within this estuary, only two species settled on poles: Chthamalus fragilis and Balanus spp. Beginning in 2018, Geukensia dimissa and Oysters (Crassostrea virginica) that settled on the poles were also counted and recorded. This data set includes observations from 2013 to 2023 and will be updated annually to include the prior year observations.
Long-term adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots from the Georgia Coastal Ecosystems LTER Fall Monitoring Program
This data set includes long-term observation of the abundance of periwinkle snail (Littoraria irrorata) at sampling sites within the Georgia Coastal Ecosystem (GCE) LTER study area. Visual counts of adult Littoraria were conducted within 0.5m x 0.5m quadrats in-line with permanent GCE vegetation plots. Juvenile Littoraria (1-4mm shell length) were found and counted by looking inside all leaf furls within a nested quadrat (0.25m x 0.25m). In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 creekbank and 12 mid-marsh replicate quadrats. This method was started in 2012 as a new part of the annual GCE monitoring and supplements the invertebrate data that has been collected since October 2000. This data set includes observations from 2012 to 2023 and will be updated annually to include the prior year observations.
Long-term Plant Biomass Monitoring Data from Altamaha River Plant Transition Sites near the Georgia Coastal Ecosystems LTER Project on Sapelo Island, Georgia
The Georgia Coastal Ecosystems LTER program (GCE) monitors plant biomass annually to measure the species and size distribution of plants at 3 sampling sites on the creekbank of the Altamaha River. The sites were chosen to capture the transition from Spartina alterniflora to Spartina cynosuroides (site SCSA) and the transition from Spartina cynosuroides to Zizaniopsis miliacea (sites ZSC1 and ZSC2). The quadrats were established as permanent plots in October 2012 by placing PVC stakes along the creekbank at each site. Plots were evenly spaced, but were not randomly located because the goal was to start with mixtures of vegetation in most of the plots, and vegetation was distributed in patches along the creekbanks. Therefore, these plots provide useful measures of vegetation change, but are not a random sample of the vegetation at the site. Plots will be replaced each year as necessary to replace any lost to disturbance. The plots were visually surveyed and the species, shoot height, and flowering status was recorded individually for each shoot over 10 cm in height present in each plot. Observations from plots exhibiting signs of disturbance were noted in a separate data set (PLT-GCEM-1801c). This data set includes cumulative long-term observations of plant stem count, height and biomass per plot and species at 3 Altamaha River transition sites from 2012 to 2023, and will be updated annually to include the prior year observations.
Nutrient Network (NutNet) basic sampling at the Georgia Coastal Ecosystems LTER in summer 2019.
NutNet is a distributed ecological experiment with a sampling component and an experiment. The goal of this work was to conduct the NutNet sampling protocol at the GCE site. Comparisons can be made 1) within the GCE site, and 2) between GCE and other NutNet sites, most of which are terrestrial. More about Nutnet here: http://www.nutnet.umn.edu/.
Arctic fish biomarker profiles from Beaufort Sea coastal lagoons, 2017–2022
Fish sampling occurred in three regions across the Beaufort Sea coast: Elson Lagoon in Utqiaġvik, Stefansson Sound in Prudhoe Bay, and Kaktovik and Jago lagoons in Barter Island (city of Kaktovik). Arctic fishes were collected to determine trophic niche overlap by determining stomach contents, bulk carbon and nitrogen stable isotopes (SI), compound specific stable isotopes of carbon in essential amino acids (CSIA-EAA) and their fatty acid (FA) profiles. Fishes were collected in each of the three regions during the open water season in August 2021 and 2022, with supplemental samples collected in 2017 – 2019. The target fish species included three diadromous species: Arctic Cisco (Coregonus autumnalis), Least Cisco (Coregonus sardinella), and Dolly Varden (Salvelinus malma), and three marine fish species: Polar Cod (Boreogadus saida), Saffron Cod (Eleginus gracilis), and Fourhorn Sculpin (Myoxocephalus quadricornis). Up to ten individuals per species per region were sampled, but not all species could be collected in all regions. Stomach contents were reported as the total number of individuals per prey category for the following categories: Amphipoda, Polychaeta, Harpacticoidea, Saduria entomon, Nemertea, Priapulida, Cumacea, Mysidacea, Calanoidea, Larval fish, Chironomida, Insecta, Misc. Stable isotope values of δ13C and δ15N are reported as “del_13c” and “del_15n”, respectively. Individual fatty acids are reported as the percent relative to total fatty acids for 35 fatty acids: C8:0, C10:0, C11:0, C12:0, C13:0, C14:0, C14:1n5, C15:0, C15:1, C16:0, C16:1n7, C17:0, C17:1, C18:0, C18:1n9 trans, C18:1n7, C18:2n6 trans, C18:2n6 cis, C18:3n3, C18:3n6, C20:0, C20:1n9, C20:2n6, C21:0, C20:3n6, C22:0, C20:4n6, C20:3n3, C20:5n3, C22:1n9, C22:2n6, C23:0, C24:0, C22:6n3, C24:1n9. Stable isotope values of δ13C are reported in the following essential amino acids: Valine (Val), Leucine (Leu), iLeu (isoleucine), Methionine (Met), Phenylalanine (Phe), Lysine (Lys).
Primary producer biomarker profiles of bulk carbon and nitrogen stable isotopes (SI), compound specific stable isotopes of carbon in essential amino acids (CSIA-EAA) and their fatty acid (FA) collected from the Beaufort Sea coastal lagoons,2021-2024
Within Stefansson Sound in Prudhoe Bay, AK various organic matter sources were collected to determine multiple biomarker baseline profiles (i.e., bulk carbon and nitrogen stable isotopes (SI), compound specific stable isotopes of carbon in essential amino acids (CSIA-EAA), fatty acids (FA)). Some organic matter sources were collected from Elson lagoon in Utqiaġvik, AK and Kaktovik and Jago lagoons in Kaktovik, AK to supplement low sample sizes in some organic matter source groups. Kelp, red algae, terrestrial plants, phytoplankton, and ice algae were collected in 2024 with some supplement samples collected in 2021 - 2023. Stable isotope values of δ13C and δ15N are reported as “del_13c” and “del_15n”, respectively. Individual fatty acids are reported as the percent relative to total fatty acids for 23 fatty acids: C11:0, C12:0, C14:0, C15:1, C15:0, C16:0, C16:1n7, C17:0, C17:1, C18:0, C18:1n9 trans, C18:2n6 cis, C18:1n7, C18:3n3, C20:0, C18:3n6, C20:4n6, C21:0, C22:0, C22:1n9, C23:0, C24:0, C22:6n3. Stable isotope values of δ13C are reported in the following essential amino acids: Valine (Val), Leucine (Leu), iLeu (isoleucine), Methionine (Met), Phenylalanine (Phe). Additionally, we used ice algal diatoms collected in the Arctic (landfast ice near Utqiaġvik, Alaska) and cultured in a laboratory setting at the University of Alaska Fairbanks to compare the CSIA-EAA fingerprints of field (composites) ice algal samples and isolate diatoms samples.
Long-term soil salinity and organic content from the Georgia Coastal Ecosystems LTER Project on Sapelo Island, Georgia
Soil samples were collected in conjunction with annual plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites beginning in 2009. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water. Organic content was measured gravimetrically by comparing ash-free dry weight and total weight of soil samples.
Coastal Native American Archaeological Sites in New York and Southern New England 12000-400 BP
Information on coastal Native American archaeological sites in New York and southern New England was compiled from various state historical commissions. The data include the following characteristics: Project Area, Project Size, and Cultural Remains, which identifies the presence of either pre-Contact (PRE) or historic (HI) material, or the lack of cultural material (NCM). Site type Site Type delineates the type of pre-Contact site represented by the artifacts and features identified at a location, which ranges from a Find Spot (FS) (a tool or piece of chipping debris found on the surface or found alone), and a Short-term Site (ST) (presence of artifacts indicating temporary use of a location), to a Seasonal Site (SE) (a site containing evidence of repeated occupation over long periods of time and with features and evidence for a broad range of activities), and a Sedentary Site (SD) (evidence of year-round habitation in form of botanical, faunal, fish and shellfish remains; presence of hearths, storage pits and middens; large variety and great quantity of tool types). Time periods Time Periods include: the Paleoindian Period (P) (12,000-10,000 BP); Early Archaic (EA) (10,000-8000 BP), Middle Archaic (MA) (8000-6000 BP), Late Archaic (LA) (6000-3000 BP), Transitional Archaic (TA) (3500-2500 BP), Early Woodland (EW) (3000-2000 BP), Middle Woodland (MW) (2000-1000 BP), Late Woodland (LW) (1000-500 BP), Contact period (C) (A.D. 1500-1620), and sites of unknown temporal affiliation (U). Activities The activities represented by the artifacts recovered from the sites include: lithic tool repair (LTR) (chipping debris), lithic workshop (LTW) (chipping debris, hammerstones, cores), hunting (HU) (faunal material and/or projectile points), fishing (FI) (net weights, fish hooks, fish bone), shellfish gathering (SG) (presence of shell), plant gathering (PG) (presence of charred seeds and/or nuts), food processing (FP) (bifaces, scrapers, knives, blades, and other lithic tools, f
Global dataset of nitrogen fixation rates across inland and coastal waters based on a coordinated synthesis effort
Biological nitrogen fixation converts inert di-nitrogen gas into bioavailable nitrogen and can be an important source of bioavailable nitrogen to organisms. This dataset synthesizes the aquatic nitrogen fixation rate measurements across inland and coastal waters. Data were derived from papers and datasets published by April 2022 and include rates measured using the acetylene reduction assay (ARA), 15N2 labeling, or the N2/Ar technique. The dataset is comprised of 4793 nitrogen fixation rates measurements from 267 studies, and is structured into four tables: 1) a reference table with sources from which data were extracted, 2) a rates table with nitrogen fixation rates that includes habitat, substrate, geographic coordinates, and method of measuring N2 fixation rates, 3) a table with supporting environmental and chemical data for a subset of the rate measurements when data were available, and 4) a data dictionary with definitions for each variable in each data table. This dataset was compiled and curated by the NSF-funded Aquatic Nitrogen Fixation Research Coordination Network (award number 2015825).
Groundwater levels and temperature in coastal tundra adjacent to Simpson Lagoon, Alaska, 2022
The coastal tundra adjacent to Simpson Lagoon, along Alaska's Beaufort Sea coast, was visited in July and September/October 2022 to assess coastal groundwater dynamics along the lagoon. Groundwater levels were monitored in five piezometers aligned in a transect oriented perpendicular to Simpson Lagoon, as well as surface water levels in the lagoon. Loggers were deployed on July 22, 2022, and collected on September 29, 2022. Data include surface water and groundwater elevation data from July 22, 2022, to September 29, 2022, with the elevation relative to a local datum. All levels have been corrected for barometric pressure (see methods). Also included is groundwater temperature data from the well closest to the lagoon (Well 5).
Composition and biodegradability of dissolved organic matter leached from eroding coastal soils and permafrost in seawater, from Drew Point, Alaska
Eroding permafrost coastlines export significant quantities of organic carbon (OC) to the marine environment, similar in magnitude to riverine particulate OC fluxes to the Arctic Ocean. Moreover, erosion rates are predicted to increase due to warming temperatures, declines in sea ice, and increasing waves. While erosion primarily mobilizes organic matter in the particulate form, this material can be leached to dissolved organic matter (DOM). This DOM may be incorporated by microbial communities and fuel marine food webs or decomposed to form greenhouse gases like carbon dioxide and methane. Many studies show that permafrost-derived organic matter can be rapidly decomposed in soils and freshwater, but few studies examine the fate of permafrost organic matter in seawater. To address this knowledge gap, we designed a laboratory experiment to leach coastal soils and permafrost in seawater and examine the composition and biodegradability of leached DOM. Coastal soil/sediment was cored near Drew Point, Alaska in 2019, representing three horizons found within rapidly eroding permafrost bluffs: seasonally thawed active layer soils, Holocene terrestrial soils and/or lacustrine sediments, and late-Pleistocene relict marine sediments. To measure dissolved organic carbon (DOC) leaching yields, we placed soil/sediments in Beaufort Sea seawater for 24 hours before filtering to remove particulates. To measure biodegradable dissolved organic carbon (BDOC), we conducted an aerobic incubation experiment following the methods suggested by Vonk et al. (2015). Briefly, leachates were incubated at approximately room temperature for 26 and 90 days to measure DOC loss due to remineralization and/or incorporation into microbial biomass. Additionally, we used chromophoric dissolved organic matter (CDOM) measurements and ultra-high resolution mass spectrometry (FT-ICR MS) to examine the initial leachate DOM composition. References: Vonk, J. E., Tank, S. E., Mann, P. J., Spencer, R. G. M., Tre
History and Dynamics of American Beech in Coastal New England 1620-2006
Variation in forest response to hurricane disturbance in coastal New England Research on disturbance in forest ecosystems has generally focused on either catastrophic disturbances generating stand-replacing successional sequences, or small-scale disturbances (e.g. individual tree-fall gaps) resulting in tree-by-tree replacement. The role of moderate disturbances in forest development, in contrast, is poorly understood. While the most severe hurricanes can cause catastrophic disturbance, the vast majority of hurricanes that affect forests from the Caribbean to the northeastern United States are moderate in intensity. In this study we examine both individual and population level responses of beech (Fagus grandifolia) and oak species (Quercus spp.) to hurricanes of varying intensity in coastal Massachusetts. We characterize growth response to disturbance using a novel approach that explicitly compares the range of growth responses observed following known disturbances to the range of growth responses in non-event years. The tree species exhibited a wide range of growth and regeneration responses to hurricanes; however, only a single storm caused dramatic increases in growth and new establishment for beech. The results of this study highlight the importance of wind disturbance in the establishment and persistence of beech, and suggest that while some moderate disturbances have little or no effect on species growth and regeneration dynamics, individual storms may have substantial impacts. Forest response to wind storms of varying, but moderate intensities, depended on local site conditions, including environmental, meteorological, topographical, historical and biological factors. Beech dominance in a coastal New England forest Monodominant forests occur in a wide range of tropical and temperate ecosystems, but the mechanisms enabling their development are not well understood. This study examines the history and dynamics of beech-dominated forests in coastal New England i
Density of Seagrass in Virginia Coastal Bays, 2007-2021
This dataset contains measurements of seagrass shoot density in restored Z. marina meadows in the Virginia coastal bays. Measurements were made annually in June-July at plots in Hog Island Bay and South Bay, VA. GPS locations of sampling plots are available in the companion data set VCR11180.
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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)
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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
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