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495 results for “coastal islands”
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.
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 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.
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.
Dune Biomass on Hog Island, Virginia Coastal Barrier Islands, 1993-2012 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-vcr/70/25. The abstract below was extracted from the Level 0 data package and is included for context:
Dune Biomass on Hog Island, Virginia Coastal Barrier Islands, 1993-2012 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/323/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-vcr/70/25. The abstract below was extracted from the Level 0 data package and is included for context:
Root distributions of coastal red cedars on Catlett Island, VA, 2018
This dataset contains the fall direction and root distributions of windthrown Juniperus virginiana on the Catlett Islands, VA. The distribution, number, length, and circumference of exposed roots are reported here. Additionally the aspect (direction of steepest slope) and fall direction were measured. Catlett Islands are a series of ridged islands on the York River, VA. See also: Messerschmidt, Tyler C.; Langston, Amy K.; and Kirwan, Matthew L., Asymmetric root distributions reveal press-pulse responses in retreating coastal forests (2021). Ecology.
Long-term N-fertilized vegetation plots on Hog Island, Virginia Coastal Barrier Islands, 1992-2014
This dataset contains results from a long-term fertilization study on the dunes of Hog Island, Virginia.
Groundwater well data on Hog Island, Virginia Coastal Barrier Islands, 1990-2007
Groundwater well data on Hog Island, 1990-2007. For updated wirelessly-networked well data after July 2007 (the same wells and locations, but different technology and sampling interval), please see follow-up dataset VCR09169. DEPTH variables are the depth of the water below the ground surface. They are negative when water levels are below the surface and positive when the surface is flooded.� ELEV variables are the elevation of the water surface above mean sea level.
Fig. 6 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 6: Spatial variation of copepod demographic class density: copepod nauplii, copepodit and adult males and females along the west and east coasts of Djerba Island.
Fig 8 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig 8: Correlation matrix (Pearson test) for biological variables in relation to abiotic variables determined along the west and east coasts of Djerba Island.
Fig. 4 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 4: Spatial variations of microphytoplankton abundance, microphytoplankton groups, dominant species, species richness and species diversity index along the west and east coasts of Djerba Island.
Fig. 7 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 7: Principal component analysis (PCA) (axis I and II) of microphytoplankton and zooplankton communities' abundance and selected environmental variables along the west and east coasts of Djerba Island.
Fig. 3 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 3: Spatial variations of nutrient concentrations: nitrite (NO -), nitrate (NO -), ammonium (NH +), total nitrogen (T- 2 3 4 N), orthophosphate (PO 3-), total phosphate (T-P), N/P ratio, 4 and silicate along the west and east coasts of Djerba Island.
Fig. 1 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 1: Location of sampling stations along the western and eastern coasts of Djerba Island. The grey contour lines in the maps show the position of the isobaths and the numbers in parenthesis indicate the depths of these isobaths. Table 1. Sampling date, depth, latitude and longitude of sampled stations.
Fig. 1 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 1: Location of sampling stations along the western and eastern coasts of Djerba Island. The grey contour lines in the maps show the position of the isobaths and the numbers in parenthesis indicate the depths of these isobaths.
Fig. 2 in A report of 20 unrecorded bacterial species isolated from the coastal area of Korean islands in 2022
Fig. 2. Transmission electron micrographs of cells of the strains isolated in this study. Strains: 1. IMCC43116 (0.2 μm); 2. IMCC43200 (0.2 μm); 3. IMCC43225 (0.5 μm); 4. IMCC43240 (0.2 μm); 5. IMCC43252 (0.5 μm); 6. IMCC43266 (0.2 μm); 7. IMCC43345 (0.5 μm); 8. IMCC43261 (0.5 μm); 9. IMCC43586 (0.2 μm); 10. IMCC33673 (0.2 μm); 11. IMCC33772 (0.5 μm); 12. IMCC33842 (0.2 μm); 13. IMCC43611 (0.2 μm); 14. IMCC43617 (0.5 μm); 15. IMCC43655 (0.5 μm); 16. IMCC43657 (0.5 μm); 17. IMCC43666 (0.5 μm); 18. IMCC43670 (0.5 μm); 19. IMCC33788 (0.5 μm); 20. IMCC33805 (0.2 μm). Scale bars are indicated in parenthesis after strain ID.
Fig. 1 in A report of 20 unrecorded bacterial species isolated from the coastal area of Korean islands in 2022
Fig. 1. The maximum-likelihood (ML) phylogenetic tree based on 16S rRNA gene sequences showing the relationship between the strains isolated in this study and their closest bacterial species. Bootstrap values over 70% are shown at nodes for ML, neighbor-joining (NJ), and minimum evolution (ME) methods, respectively (ML/NJ/ME; -, less than 70%). Tree was rooted with Dehalococcoides mccartyi KCTC 15142T (not shown; GenBank accession no. AX814128). Filled circles indicate that the corresponding node was also recovered in the trees reconstructed with both the NJ and ME algorithms, while open circles indicate that the corresponding node was recovered in the tree generated with only one of these algorithms. Scale bar = 0.05 substitutions per nucleotide position.
Data from: Detecting the effects of rapid tectonically-induced subsidence on Mayotte Island since 2018 on beach and reef morphology, and implications for coastal vulnerability to marine flooding
<p>This dataset contains data from the monitoring morphological evolution of beaches and coral reefs in Mayotte island. Mayotte, part of the coral reef-fringed Comoro archipelago in the SW Indian Ocean, experienced in 2018 and 2019 an intense seismic crisis. The repeated earthquake activity since May 2018 has been associated with deformation of the surface of Mayotte, resulting in land subsidence.</p> <p>The earlier 2006-2008 profiles were realized using a Leica TC 407® total station, and referenced to local IGN 50 benchmarks. The more recent 2019, 2020, and 2021 surveys were carried out using a GNSS differential Trimble R8S® system. Given the rapid subsidence that has affected Mayotte, the benchmarks used in this study, like others in Mayotte, need to be recalibrated by the IGN (French Institut Géographique National) and SHOM. This has still not yet been done, as the final outcome of the vertical island movements is still not clear.</p>
What Darwin couldn't see: Island formation and historical sea levels shape genetic divergence and island biogeography in a coastal marine species
<p>Oceanic islands play a central role in the study of evolution and island biogeography. The Galapagos Islands are one of the most studied oceanic archipelagos but research has almost exclusively focused on terrestrial organisms compared to marine species. Here we used the Galapagos bullhead shark (<em>Heterodontus quoyi</em>) and single nucleotide polymorphisms (SNPs) to examine evolutionary processes and their consequences for genetic divergence and island biogeography in a shallow-water marine species without larval dispersal. The sequential separation of individual islands from a central island cluster gradually established different ocean depths between islands that pose barriers to dispersal in <em>H. quoyi</em>. Isolation-by-resistance analysis suggested that ocean bathymetry and historical sea level fluctuations modified genetic connectivity. These processes resulted in at least three genetic clusters that exhibit low genetic diversity and effective population sizes that scale with island size and the level of geographic isolation. Our results exemplify that island formation and climatic cycles shape genetic divergence and biogeography of coastal marine organisms with limited dispersal comparable to terrestrial taxa. Because similar scenarios exist in oceanic islands around the globe our research provides a new perspective on marine evolution and biogeography with implications for the conservation of island biodiversity.</p>
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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.