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352 results for “Gulf Coast”
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.
US Atlantic and Gulf Coast Annual Wetland Land Cover and Change Maps, 1985 to 2022
<h3>This dataset is associated with the following article published in Remote Sensing Applications: Society and Environment, which can be accessed here: https://doi.org/10.1016/j.rsase.2024.101392</h3> <p>Shortly after publishing version 2, errors in the map projections were identified and corrected. Please use version 3 instead of version 2.</p> <p>Updates to version 2 were as follows:</p> <ul> <li>Includes watersheds in Texas that were not included in Version 1.</li> <li>A color map (using ArcPro) was added for improved interpretation.</li> <li>A sub-pixel scale offset in the change type map, related to map projection errors, was corrected.</li> </ul> <h2><strong>Mapping Coastal Wetland Changes from 1985 to 2022 in the US Atlantic and Gulf Coasts using Landsat Time Series and National Wetland Inventories</strong></h2> <p>Courtney A. Di Vittorio<sup>1</sup>, Melita Wiles<sup>2</sup>, Yasin W. Rabby<sup>2</sup>, Saeed Movahedi<sup>2</sup>, Jacob Louie<sup>1</sup>, Lily Hezrony<sup>1</sup>, Esteban Coyoy Cifuentes<sup>1</sup>, Wes Hinchman<sup>1</sup>, Alex Schluter<sup>1</sup></p> <p><sup>1</sup>Department of Engineering, Wake Forest University, Winston-Salem, North Carolina, USA.</p> <p><sup>2</sup>Department of Statistics, Wake Forest University, Winston-Salem, North Carolina, USA.</p> <h3>Abstract</h3> <p>The areal extent of coastal wetlands is declining rapidly worldwide, and scientists and land managers need land cover maps that show the magnitude and severity of changes over time to assess impacts and develop effective conservation strategies. Within the United States (US), the widely-used, continental-scale wetland land cover data products are either static in time (The National Wetlands Inventory) or have a course temporal resolution, and do not distinguish between different types of change (the NOAA Coastal Change Analysis Program, C-CAP). This study presents a new coastal wetland geospatial data product that leverages the Landsat database and maps annual land cover across the US Atlantic and Gulf Coasts from 1985 to 2022. The algorithm was trained on the existing US wetland inventories to make the final maps compatible with products that are used in operational management. A multi-stage classification approach was designed that uses Google Earth Engine and the Continuous Change Detection and Classification (CCDC) algorithm to characterize time series of remote sensing imagery with fitted harmonic functions and identify when changes likely occurred. The fitted time series models are then input into a random forest classifier to make a class prediction. An annual-scale random forest classification is performed in parallel, and results from both algorithms are combined and analysed to detect both gradual and abrupt changes and to identify transitional time series segments. A time series smoothing procedure is subsequently applied to ensure class transitions are logical and consistent and extract a summative change characterization map that shows the severity and spatial density of change. The final maps distinguish between four homogenous classes and six mixed classes, representing areas that are transitioning between classes and where the boundaries between classes are unstable. The average overall accuracy of the algorithm is 93.7%, and the average class omission and commission errors are 6.7% and 6.4%, respectively. A variety of change detection comparisons were performed, using the existing wetland inventory that employed a fundamentally different change detection approach, and a more comparable annual-scale, Landsat-derived product that estimated changes across the Northeastern Atlantic Coast. These comparisons show that the magnitude of severe changes matches that of the existing inventory and the magnitude of the moderate changes matches that of the more comparable product. The 2019 Wetland Status and Trends Report estimated that net loss rates in emergent wetlands from 2010 to 2019 amount to 1.7%, and the new maps show an equivalent loss rate of 1.6%, again showing close agreement.</p>
Plant richness survey of mainland and barrier island locations along the Texas Gulf Coast in April and May 2005
I conducted a plant richness survey of 49 sites on the Texas Gulf Coast in the Spring (April-May) of 2005. Sites were chosen to include a range of mainland and barrier island locations. All sites were dominated by salt marsh plant species, primarily Spartina alterniflora. To provide a general indication of the salinity conditions prevailing at each site, I measured salinity of the nearest body of water with a refractometer on the date that the site was sampled. Plant richness was documented along a single 5.0m wide transect at each site. Each transect began at the lower elevational limit of vegetation and continued perpendicular to the water’s edge to the shrub community at the upper marsh border. Plant presence was noted in a series of nested subplots within a 1.0m x 5.0m plot at each meter along the transect. The results posted here are sites, position, salinity, and the site pool, or species encountered at the site. This data set is a companion to PLT-GCET-0608, which provides similar data for sites around Sapelo Island, Georgia.
Fig 2 in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 2: Distribution of coral and associated fauna in Mandapam group of Islands in Gulf of Mannar Marine National Park
Fig 9A in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 9A: Symphillia radians, B- Symphillia recta, C- Echinophyllia aspera, D- Pocillopora damicornis, E- Goniopora columna, F- Porites lutea, G- Porites solida, H- Psammocora nierstraszi
Fig 8A in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 8A: Favites complanata, B- Favites halicora, C- Goniastrea minuta, D- Goniastrea sp., E- Platygyra acuta, F- Platygyra sp. G- Platygyra sp., H- Hydnophora microconus
Fig 5 in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 5: Bray-Curtis Cluster analyses of life form categories recorded from the reef islands in Mandapam group, Gulf of Mannar Marina National Park. (SI –Shingle Island, KI – Kurusadai Island, PI – Pullivasal Island, POI – Poomarichan Island, MPI – Manoliputti Island, MI – Manoli Island, HI - Hare Island)
Fig 3 in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 3: Principal Component Analyses (PCA) of life form categories recorded from the reef islands in Mandapam group, Gulf of Mannar Marina National Park. HC – Hard corals, SC- Soft coral, CB- Coral bleaching, AA-Algae, SP – Sponges, DC-Dead corals, RB-Rubbles, SD- Sand, SI – Silt, OT-Others, SI –Shingle Island, KI – Kurusadai Island, PI – Pullivasal Island, POI – Poomarichan Island, MPI – Manoliputti Island, MI – Manoli Island, HI - Hare Island.
Fig 7A in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 7A: Turbinaria mesenterina, B- Turbinaria peltata, C- Diploria strigosa, D- Echinopora lamellose, E- Favia favus, F- Favia speciosa, GFavia sp., H- Favites abdita
Fig 1 in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 1: Study sites in Mandapam group of Islands in Gulf of Mannar Marine National Park (https://www.geoplaner.com/)
Fig. 7. A-B. A in Digenetic Trematodes From Marine Fishes Off The Coast Of Kuwait, Arabian Gulf: Fellodistomidae And Some Smaller Families, New Host And Geographic Records
Fig. 7. A-B. A. Diphterostomun brusinae (STOSSICH, 1888) STOSSICH, 1903 from Argyrops spinifer. Ventral view. Scale 0.5 mm. B. Cirrus sac free-hand drawing
Fig. 3. A in Digenetic Trematodes From Marine Fishes Off The Coast Of Kuwait, Arabian Gulf: Fellodistomidae And Some Smaller Families, New Host And Geographic Records
Fig. 3. A = Monascus filiformis (RUD., 1819) from Selaroides leptolepis. Ventral view. Scale 1 mm. B = Cirrus sac free-hand composite drawing
Fig 6 in Digenetic Trematodes From Marine Fishes Off The Coast Of Kuwait, Arabian Gulf: Fellodistomidae And Some Smaller Families, New Host And Geographic Records
Fig 6. Prosogonotrema bilabiatum PÉREZ VIGUERAS, 1940 from Epinephelus areolatus. Ventral view. Scale 1 mm
Fig. 2. A in Digenetic Trematodes From Marine Fishes Off The Coast Of Kuwait, Arabian Gulf: Fellodistomidae And Some Smaller Families, New Host And Geographic Records
Fig. 2. A = Complexobursa vjetnamensis OSHMARIN e t MAMAEV, 1963, from Terapon theraps. Ventrolateral view. Scale 1 mm. B. Cirrus sac free-hand drawing
Fig. 1. A in Digenetic Trematodes From Marine Fishes Off The Coast Of Kuwait, Arabian Gulf: Fellodistomidae And Some Smaller Families, New Host And Geographic Records
Fig. 1. A = Lintonium vibex (LINTON, 1900) STUNKARD e t NIGRELLI, 1930, from Lagocephalus lunaris. Ventral view. Scale 1 mm. B = Cirrus sac free-hand composite drawing
Linked collectors and determiners for: A new species of Cephaloecetes (Bubocorophiina) from the Iranian coasts of the Gulf of Oman and the Hormuz Strait (Crustacea: Amphipoda: Siphonoecetini).
Natural history specimen data linked to collectors and determiners held within, "A new species of Cephaloecetes (Bubocorophiina) from the Iranian coasts of the Gulf of Oman and the Hormuz Strait (Crustacea: Amphipoda: Siphonoecetini)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/f2fbdc01-4a1f-4043-b4aa-8458fc490f04">https://bionomia.net/dataset/f2fbdc01-4a1f-4043-b4aa-8458fc490f04</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f2fbdc01-4a1f-4043-b4aa-8458fc490f04">https://gbif.org/dataset/f2fbdc01-4a1f-4043-b4aa-8458fc490f04</a>. Formatted as a Frictionless Data package.
Fig 4 in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 4: Correspondence Analyses of life form categories recorded from the reef islands in Mandapam group, Gulf of Mannar Marina National Park. HC – Hard corals, SC- Soft coral, CB- Coral bleaching, AA-Algae, SP – Sponges, DC-Dead corals, RB-Rubbles, SD- Sand, SI – Silt, OT-Others, SI –Shingle Island, KI – Kurusadai Island, PI – Pullivasal Island, POI – Poomarichan Island, MPI – Manoliputti Island, MI – Manoli Island, HI - Hare Island.
Figure 2. A photo and a in First record of the burrowing goby, Trypauchen vagina (Actinopterygii: Gobiidae), from the Iranian coast of the Persian Gulf
Figure 2. A photo and a radiograph of Trypauchen vagina, 140 mm TL from north of Qeshm Island in the Persian Gulf.
Figure 1 in First record of the burrowing goby, Trypauchen vagina (Actinopterygii: Gobiidae), from the Iranian coast of the Persian Gulf
Figure 1. Distribution map of T. vagina recorded from the Persian Gulf. The solid square is the previously known locality (in 1985) and the open square corresponds to the new record locality at 26°56ʹN, 55°54ʹE, north of Qeshm Island.
FIGURE 5. Representative Magnoliaceae and Oleaceae from the Citronelle Formation. 1 in New plant fossil records and paleoclimate analyses of the late Pliocene Citronelle Formation flora, U.S. Gulf Coast
FIGURE 5. Representative Magnoliaceae and Oleaceae from the Citronelle Formation. 1. Liriodendron cf. tulipifera partial leaf (UF 19315–062075), scale bar equals 1 cm. 2. Close-up of Figure 5.1 Liriodendron leaf basal portion showing simple agrophic veins at arrows, scale bar equals 5 mm. 3. Magnolia cf. virginiana leaf (UF 19210–062076), scale bar equals 1 cm. 4. Close-up of Figure 5.3 Magnolia leaf showing details of fourth and fifth order veins, scale bar equals 5 mm. 5. Fraxinus sp. fruit (UF 19413–062077), scale bar equals 5 mm.
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.