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1,117 results for “GA”
Pulse amplitude modulated (PAM) 5-minute chlorophyll fluorescence (ChlF) with accompanying environmental variables from the GCE-LTER Keenan Field site on Sapelo Island, GA in July 2020
Pulse amplitude modulated (PAM) chlorophyll fluorescence (ChlF) from July 11, 2020 to July 27, 2020 collected over a Spartina alterniflora marsh located on the western side of Sapelo Island bounded by the Duplin River. PAM ChlF were processed in WinControl-3.25. Additional biophysical variables included are photosynthetically active radiation (PAR) from onsite quantum sensors (Licor-192), and tide height from an onsite pressure transducer (Hobo U20).
Characterizing the ecology and soil biogeochemistry of wetland transition zones along the Satilla River Estuary, GA, USA.
The location of salinity gradients in coastal wetlands, from tidal freshwater sourced from riverine inputs to polyhaline sourced from saline ocean water, is subject to natural and unnatural shifts due to climactic patterns such as changes in discharge, sea-level rise (SLR), and alterations to hydrology. Increased inundation in of saltwater in the Satilla River has resulted in conversions of plant communities from fresh or brackish to salt tolerant species that has implications for belowground soil biogeochemistry. These data explore the translation of aboveground properties to soil properties in transitional wetlands in poly-, meso-, and oligohaline regions and across elevation gradients from levee to platform in the Satilla River Estuary, GA by characterizing the ecological communities and soil size fractionation, total organic carbon content (TOC) and composition (delta13C).
Pred-Ex: Long Term Salt Marsh Predator Exclusion Experiment Conducted at Sapelo Island, GA
In southeastern USA salt marshes, short-term and small-scale experiments indicate that a trophic cascade benefits the foundation plant Spartina alterniflora: marine predators (nekton) positively affect plant biomass by consuming snail and crab herbivores. To test how nekton affect marsh processes when the entire animal community is present, and to test how prior results scale up over time, we conducted a 3-year predator exclusion experiment in a Georgia salt marsh using replicated 19.6 m2 plots. We measured the response of changing density for all marsh invertebrates, conducted snail and crab tethering trials, quantified change in marsh grass biomass, and measured tea bag decomposition rate across all plots.
Long-term monitoring of seven high marsh plant mixtures on Sapelo Island GA
We set up plots (1x2m) in 1996 in mixtures or on vegetation borders at three sites. We set up 16 plots for each of seven mixtures - Marsh Landing (Juncus-Meadow, Spartina-Meadow, and Spartina-Batis mixtures), Teal Boardwalk (Juncus-Spartina mixture) and Shell Hammock (Juncus-Spartina, Juncus-Meadow, and Spartina-Meadow mixtures). Half were watered with fresh water 3 times per week (W) and half were controls (C). Watering stopped in April 2000. Plots were monitored to document changes in plant community composition (percent cover) over time.
Wrack classification data based on UAV imagery from Dean Creek on Sapelo Island, GA
We used a DJI Matrice 210 UAV with a MicaSense Altum to collect a total of 20 images from January 2020 - December 2021 in a the Dean Creek marsh on Sapelo Island, GA. Wrack was classified using a principal component analysis. Wrack patches under 1 m2 were excluded from analyses. Wrack classifications were converted to polygon and point data where each point represents a 5 cm x 5 cm pixel. Those files were then used to analyze wrack characteristics, their relation to environmental drivers, and landscape based patterns. For both polygon and point data, we used the National Elevation Dataset (https://gdg.sc.egov.usda.gov/Catalog/ProductDescription/NED.html) to determine the elevation of each wrack patch. Creeks and shorelines were digitized and used to determine each wrack patches' distance to water. We calculated the frequency of wrack deposition at each point by adding together the number of images where that pixel was classified as wrack over the course of the study. Polygon data were related to tide height from a NOAA tidal station data product (Ft. Pulaski, Station 8670870; https://tidesandcurrents.noaa.gov) and wind speed and wind direction from the Marsh Landing weather station (downloaded data for the SAPMLMET met station from: https://cdmo.baruch.sc.edu/) to evaluate the relationship of wrack to environmental drivers.
Marsh vegetation and soil survey at Marsh Landing, Sapelo Island GA from July 1999.
To document edaphic and vegetation patterns in a Georgia marsh, I sampled seven vegetation "zones" at Marsh Landing on Sapelo Island in July, 1999. Vegetation zones were delineated based on vegetation composition. I located 8 transects running from the Juncus zone in the high marsh down into the short S. alterniflora zone. The tall Spartina zone was not sampled. I sampled a single quadrat (0.25 m x 0.25 m) in each vegetation zone along each transect, for a total of 56 plots. I measured canopy height with a meter stick. I harvested aboveground biomass within each quadrat, sorted it to species, dried and weighed it. I measured soil water content gravimetrically by drying surface (4 cm deep) soil cores and expressing results as (water mass)/(mass of wet core). I determined porewater salinity by rehydrating dried soil cores with a known volume of deionized water, measuring the salinity of the supernatant after 48 h, and back-calculating to the volume of water originally present. I measured soil organic content as loss on ignition of dried soil cores at 450oC for 12 h. I measured relative elevation of each vegetation zone with a theodolite, with the elevation of the lowest zone arbitrarily set to zero. The resulting dataset describes how plant species composition, richness, height and biomass varies as a function of abiotic conditions in the upper part of a Georgia marsh.
Biological and Physical Monitoring Data of Restored Oyster Reef in Savannah River, Savannah, GA from May 2023 - February 2025
For the purposes of this study, we constructed two oyster reefs in Savannah, GA, USA using standard spat-on-shell restoration methodology. Reefs were constructed 1-2 meters from the marsh edge to reduce wave energy as it approached the shoreline, similar to a breakwater. We then conducted monitoring on the biological function of the reef, including live juvenile oyster coverage, size, and abundance for approximately 18 months. We also quantified the energy flux of waves offshore and onshore of the reef using water pressure measurements to determine the capability of these reefs at reducing wave energy. The oyster reefs in this study decreased wave energy by up to 40% compared to paired, non-reef control sites. Constructed oyster reefs also experienced healthy oyster population growth throughout the study, with live juvenile coverage of 17-40% almost 18 months post-deployment. This study took place in an erosion-prone area due to recreational and commercial boating traffic at the nearby Port of Savannah. Our results indicate that using restored oyster reefs as living shorelines is a technique with high potential for preventing shoreline loss in coastal areas vulnerable to anthropogenically-caused erosion. Restored Reef Site 1: 32.067957°, -80.985005° Control Site 1: 32.0675194°, -80.986369° Restored Reef Site 2: 32.062663°, -80.965147° Control Site 2: 32.063261°, -80.965889°
Effect of salt water intrusion on the distribution of invertebrates in a GA tidal freshwater marshes from the GCE Seawater Addition Long-Term Experiment (SALTEx) project.
To characterize the effect of persistent and episodic salt water intrusion on the distribution of common freshwater marsh invertebrates, we monitored the density of adult and juvenile fiddler crabs and snails. Prior to the start of salt water addition treatments, we collected data on the distribution of crabs and snails in all 30 experimental plots (6 replicates of 5 treatments: pressed salt water addition, pulsed salt water addition, fresh water addition, procedural control structure, and control no structure). In each experimental plot, we counted the number of adult and juvenile fiddler crab burrows and snails visible on the marshs surface in a 50cm x 75cm plot (juvenile fiddler crabs were counted in only half of this area) that was positioned in the Northeastern corner of each experimental plot. Initial data was collected in March 2014. A Bentho Torch was used to measure the concentrations of cyanobacteria, diatoms, and green algae on the marsh surface in 2015 and 2016.
Repeat photography of tidal fresh forest trees along the salinity gradient of the Altamaha River, GA
We established a transect of 42 stations for repeat photography of tidal fresh forest trees along the salinity gradient of the Altamaha River estuary. Target trees are located approximately every km on both the north and south banks, beginning at km 20 (with 0 at the mouth of the estuary) up to km 41, for a total of 21 km. We used a small boat to travel to each station and take digital photographs of target trees facing the river in Nov 2017, Feb, May, Aug of 2018. In Oct 2018 we extended the transect an additional 5 km downstream so that it now starts at km 16, with 5 more stations on the north bank and 5 on the south bank. All 52 stations were photographed in Oct 2018 and Oct 2019. These photos will be used to distinguish healthy, stressed and dead trees in each image and how they change over time.
A grazing crab drives saltmarsh carbon storage and recovery in VA, SC, and GA
Consumers can directly (e.g., consumption) and indirectly (e.g., trophic cascades) influence carbon cycling in blue carbon ecosystems. Previous work found that large grazers have nuanced effects on carbon stocks, yet, small, bioturbating-grazers, which remove plant biomass and alter sediment properties, remain an understudied driver of carbon cycling. We used field-derived and remote sensing data to quantify the grazing effects of the purple marsh crab, Sesarma reticulatum, on carbon stocks, flux, and recovery in salt marshes. Sesarma fronts led to a carbon loss of around 40-70% and Sesarma front migration rates accelerated over time. Despite latitudinal differences, front migration rate had no effect on carbon stocks, flux, or time to replacement. When we included Sesarma disturbance in carbon flux calculations, we found it may take 5-100 years for marshes to replace lost carbon, if at all. Combined, we show that small grazers cause a net loss in carbon stocks as they move through the landscape, and irrespective of migration rate, these grazer-driven impacts persist for decades. This work showcases the significant role of consumers in carbon storage and flux, challenging the classic paradigm of plant-sediment feedbacks as the primary ecogeomorphic driver of carbon cycling in blue carbon ecosystems.
Data in New $^{63}$Ga(p,$\gamma$)$^{64}$Ge and $^{64}$Ge(p,$\gamma$)$^{65}$As reaction rates corresponding to the temperature regime of thermonuclear X-ray bursts
<p>Abstract quoted from <a href="https://doi.org/10.1103/PhysRevC.110.065804" target="_blank" rel="noopener">Physical Review C 110 (2024) 065804</a> [<a href="https://arxiv.org/abs/2406.14624">arXiv:2406.14624</a>] </p> <p>We compute the $^{63}$Ga(p,$\gamma$)$^{64}$Ge and $^{64}$Ge(p,$\gamma$)$^{65}$As thermonuclear reaction rates using the latest experimental input supplemented with theoretical nuclear spectroscopic information. The experimental input consists of the latest proton thresholds of $^{64}$Ge and $^{65}$As, and the nuclear spectroscopic information of $^{65}$As, whereas the theoretical nuclear spectroscopic information for $^{64}$Ge and $^{65}$As are deduced from the full <em>pf</em>-shell space configuration-interaction shell-model calculations with the GXPF1A Hamiltonian. Both thermonuclear reaction rates are determined with known uncertainties at the energies that correspond to the Gamow windows of the temperature regime relevant to type I x-ray bursts, covering the typical temperature range of the thermonuclear runaway of the GS 1826$-$24 periodic bursts and SAX J1808.4$-$3658 photospheric radius expansion bursts. </p>
AFLP and MS-AFLP data for Spartina alterniflora and Borrichia frutescens collected from three habitats (i.e. low, medium, and high salt) within five sites, respectively, on Sapelo Island, GA in May 2011
Using amplified fragment length polymorphism (AFLP) and methylation sensitive (MS)-AFLP we assessed genetic and epigenetic variation in two salt marsh perennials, Spartina alterniflora and Borrichia frutescens, in Sapelo Island, Georgia. We sampled Apex (A), Cabretta (C), Hunt Camp (H), Lighthouse (L), and Marsh Landing (M) for S. alterniflora, and C, H, L, M, and Shell Hammock for B. frutescens due to site specific differences in species among the sites. We tested the hypothesis that populatation structure at the habitat level would be due to epigenetic loci and not genetic. The presence and absence AFLP bands and MS-AFLP methylation respresents a genome-wide snapsnot of variation within individuals. We used hierarchical AMOVAs, permutational MANOVA, Bayesian clustering (genetic only), Mantel and partial Mantel tests, and generalized linear models to assess the spatial structure of genetic and epigenetic variation among our two study organisms across five sites for each organism. (Note: genetic and habitat distance tables were normalized for database compatibility. These data must be formatted as a square dissimilarity matrix for input to the code files.)
Supplementary data for the article "Spin reorientation in premartensite and austenite Ni-Mn-Ga".
<p>Supplementary data for the article “Spin reorientation in premartensite and austenite Ni-Mn-Ga” by Alexej Perevertov, Ross H. Colman and Oleg Heczko.</p> <p>Dataset - worksheet, M(H) loop at T = 252K. Columns - time (seconds); Field (A/m), Magnetic polarization, J(T); dJ/dt (T/s); dH/dt (A/(m*s))</p> <p>Supplementary video 1. The DS curves and J(H) hysteresis loops were displayed on the graphs in the post-processing LabView graphs for every temperature for 0.1sec and the screen recording was done using the VLC player/recorder (the capture device – desktop).</p> <p>Supplementary Video 2 - we have cut a 6x0.15mm disk, perpendicular to the long side of our sample with the face of the disk in the [100] – [110] plane. The disk was placed in a constant field of 50mT. On the heating cycle, immediately after martensitic transformation the disk [100] axis is parallel to the field. Close to the premartensitic transformation the disk spontaneously rotates by 45º, with the field then parallel to the [110] direction. With further heating, close to the room temperature, it rotates back to [100].</p>
Wikipedia: wikipedia-ga (Irish)
Wikipedia is a multilingual, web-based, free-content encyclopedia project supported by the Wikimedia Foundation and based on a model of openly editable content. EOL harvests articles from wikipedia that are indexed as species or higher taxa.<p></p><p></p>https://ga.wikipedia.org
Vibracore and Tree Stump Data from the Marsh Near Mary Hammock, McIntosh County, GA
The purpose of this study was to determine the geologic/ sedimentologic history of the marsh near Mary Hammock, a marsh island in McIntosh County, GA. During the Summer of 2009, a vibracore machine was used to extract six sediment cores (MT01 through MT06) from the marsh north of Mary Hammock. In addition, tree stumps buried under the marsh were recorded, and one was extracted and analyzed, to facilitate in understanding the sedimentological history of the marsh. A GPS unit was used to record the precise locations and elevations of the core extraction sites and stumps. The cores were then transported to the Georgia Southern Coastal Research Lab at the Skidaway Institute of Oceanography (SkIO), in Savannah, GA, for analysis. The tree stump was brought back to the University of Georgia for analysis. Although there was a large degree of bioturbation in the marsh near Mary Hammock, sediment core analysis (visual inspection, X-Ray analysis, particle size analysis, and analysis of organic matter content), and stump analysis (species determination and radiocarbon dating), revealed three main facies in the marsh. The topmost layer is recent marsh. The middle layer is a sandy layer, representing the former upland surface prior to sea level rise, inundation, and marsh formation (around 5,000 to 4,000 years ago). The bottom layer is a highly compact greenish-gray clay layer. The conclusion is that the former upland surface, consisting mostly of sandy soils, was inundated due to sea level rise around 4,200 B.P. Marsh sedimentation occurred after this, depositing fine-grained sediments on top of the sandy surface (Turck and Alexander, 2013).
Microbial relationships in the Skidaway River Estuary (GA, USA)
<p>This release includes all files needed to reproduce analysis of 16S and 18S amplicon datasets for the following manuscript: Anderson, S.R., M. Chisholm, and E.L. Harvey. Estuarine microbial networks and relationships vary between environmentally distinct communities. Files are also available on GitHub (<a href="https://github.com/sra34/SkIO-network">https://github.com/sra34/SkIO-network</a>). </p> <p>Included are QIIME 2 (.qza) files representing ASV count tables, taxonomy tables, representative sequences, and rooted tree files for each marker gene region. Associated metadata files are also included (e.g., Sampleinfo_16S.txt), as is the main network file (created in <a href="https://cytoscape.org/">Cytoscape</a>).</p> <p>Taxonomy was assigned to sequences using QIIME 2-formatted reference databases for 16S (SILVA; v.138.1) and 18S (PR2; v.4.12). Reference database files (.qza) are provided: </p> <ul> <li>silva-138-99-tax.qza </li> <li>silva-138-99-seqs.qza </li> <li>pr2_4.12.0_18S_tax.qza </li> <li>pr2_4.12.0_18S_seqs.qza </li> </ul> <p> Raw FASTQ sequence data are available in NCBI SRA under BioProject ID's PRJNA575563 (18S) and PRJNA680039 (16S).</p>
Kinetics of Dehydrogenation of n-Heptane over Ga-Pt Supported Catalytically Active Liquid Metal Solutions (SCALMS)
<p>This dataset contains all data for the published figures of DOI10.1039/d3re00490b.</p>
Using the Genetic Algorithm for the Optimization of Dynamic School Bus Routing Problem-Figure 7. Application main form which includes route, bus stops and GA parameters
<p>For this study, the school bus routes within the Ankara Province were used as case studies. The school bus routes were recorded by using the Android application and instantaneous GPS monitoring method. The home address of each student was taken as a stopping point. At the end of each route, the distances between the beginning and end points were recorded. After transferring the obtained route data into the database, the ill-adapted points were eliminated. By means of the developed application, the existing school bus routes are dynamically optimized using GA. It was developed both as a mobile and desktop application. Using Android- based mobile software, the information regarding GPS locations of bus stops and school buses is transferred to the server on a real-time basis. Using the desktop software, where GAs are run, these coordinates are shown on a Google map, and the most suitable route is produced and sent to the school bus via server. This method provides the opportunity to dynamically reflect certain factors such as a different initial point for the school bus, some students being absent from the school on a particular day, and eventual changes on the existing roads on the route production process.</p>
Using the Genetic Algorithm for the Optimization of Dynamic School Bus Routing Problem-Figure 3. The flow diagram of the SBRP solution by using GA
<p>The distance optimization needed for the formation of the objective function that can be seen in equation number 1 was done using GA operators and parameters. The flowchart that can be seen in Figure 3 shows how the school bus routes are formed using GA.</p>
Using the Genetic Algorithm for the Optimization of Dynamic School Bus Routing Problem-Figure 8. Listing of obtained solutions after running GA on the route
<p>During the route planning, school is the initial point if the students are going home from school, whereas it is the final point if they are going to the school from their homes. The application provides the opportunity to fix not only the school, but also the bus stops as initial or final points. Since the authors hope to develop a routing solution for more than one school in a future study, both the initial and final bus stops were given the opportunity to be selected so that the school bus can complete distribution/collection duties for one school and can go to another school for routing. When these selections are made, the initial and final genes of the chromosomes produced in the population were fixed through these selections. When the TSP option is on, on the other hand, the school bus returning to the initial point after completing the distribution/collection duties is included in the routing process. The information regarding solutions, route distances and the number of iterations produced after all the parameters are defined and the relevant selections are made are listed as shown in Figure 8. Under the solutions list, total crossover, total number of mutations, and algorithm working times are shown.</p>
ScienceDex guides
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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.