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1,478 results for “coral reefs”
Figure 9 in Revision of the Indo-West Pacific Coral Reef Mantis Shrimp Genus, Gonodactylopsis Manning, 1969 (Crustacea: Stomatopoda: Gonodactylidae)
Figure 9. Gonodactylopsis maqqaba sp. nov., holotype female, TL 16 mm, Macclesfield Bank, NTOU S00036. (A) anterior cephalothorax, dorsal view; (B) right eye, lateral view; (C) ocular scales; (D) rostral plate, lateral view; (E) right antenna, lateral view; (F) right raptorial claw, lateral view; (G) thoracic somites 6–8, right lateral view; (H) abdominal somite 6, telson and right uropod; (I) abdominal somites 5, 6 and telson, lateral view; (J) abdominal somites 4 and 5 posterolateral margin, lateral view; (K) right uropod, ventral view; (L) telson, ventral view. Scale = 1.0 mm.
Figure 8 in Revision of the Indo-West Pacific Coral Reef Mantis Shrimp Genus, Gonodactylopsis Manning, 1969 (Crustacea: Stomatopoda: Gonodactylidae)
Figure 8. Gonodactylopsis lata sp. nov., colour in life, female, TL 21 mm, Papua New Guinea, MNHN IU-2014-213. Photo: T.-Y. Chan.
Figure 6 in Revision of the Indo-West Pacific Coral Reef Mantis Shrimp Genus, Gonodactylopsis Manning, 1969 (Crustacea: Stomatopoda: Gonodactylidae)
Figure 6. Gonodactylopsis lata sp. nov.: A–J, holotype female, TL 22 mm, Fiji, VGS 82-9, USNM 307139; K–L, paratype male, TL 17 mm, Fiji, MUSORSTOM 10 CP1364, MNHN. (A) anterior cephalothorax, dorsal view; (B) right eye, lateral view; (C) ocular scales; (D) rostral plate, lateral view; (E) right antenna, lateral view; (F) right raptorial claw, lateral view; (G) thoracic somites 6–8, right lateral view; (H) abdominal somites 5 and 6, telson and right uropod; (I) abdominal somites 5, 6 and telson, lateral view; (J) right uropod, ventral view; (K) telson, dorsal view; (L) right pleopod 1 endopod, anterior view. Scale: A–K = 2.0 mm; L = 1.0 mm.
Figure 7 in Revision of the Indo-West Pacific Coral Reef Mantis Shrimp Genus, Gonodactylopsis Manning, 1969 (Crustacea: Stomatopoda: Gonodactylidae)
Figure 7. Gonodactylopsis lata sp. nov., telson outline, Papua New Guinea: (A) male, TL 10 mm, MNHN IU-2014-966; (B) female, TL 13 mm, MNHN IU-2014-965; (C) female, TL 15 mm, MNHN IU-2014-187; (D) male, TL 16 mm, AM P105858. Scale = 1.0 mm.
Figure 4 in Revision of the Indo-West Pacific Coral Reef Mantis Shrimp Genus, Gonodactylopsis Manning, 1969 (Crustacea: Stomatopoda: Gonodactylidae)
Figure 4. Gonodactylopsis drepanophora (De Man, 1902): A–J, female, TL 22 mm, Okinawa, Japan, USNM 307225; K, female, TL 18 mm, Ambon, Indonesia, USNM 155707. (A) anterior cephalothorax, dorsal view; (B) ocular scales; (C) right antenna, lateral view; (D) right raptorial claw, lateral view; (E) thoracic somites 6–8, lower right lateral view; (F) abdominal somite 6, telson and right uropod; (G) abdominal somites 4 and 5 posterolateral margin, lateral view; (H) right uropod, ventral view; (I) telson, right lateral view; (J) telson, ventral view; (K) telson, dorsal view. Scale = 1.0 mm.
Figure 2 in Revision of the Indo-West Pacific Coral Reef Mantis Shrimp Genus, Gonodactylopsis Manning, 1969 (Crustacea: Stomatopoda: Gonodactylidae)
Figure 2. Gonodactylopsis herdmani (Tattersall, 1906): A–K, lectotype female, TL 26 mm, Ceylon, NHM 1906.10.27.1; L, paralectotype female, TL 28 mm, Ceylon, NHM 1906.10.27.1. (A) anterior cephalothorax, dorsal view; (B) right eye, lateral view; (C) ocular scales; (D) rostral plate, lateral view; (E) right antenna, lateral view; (F) right raptorial claw, lateral view; (G) thoracic somites 6–8, right lateral view; (H) abdominal somite 5 and 6, telson and left uropod; (I) abdominal somites 5, 6 and telson, lateral view; (J) right uropod, ventral view; (K) telson, ventral view; (L) telson, dorsal view. Scale = 2.0 mm.
Figure 5 in Revision of the Indo-West Pacific Coral Reef Mantis Shrimp Genus, Gonodactylopsis Manning, 1969 (Crustacea: Stomatopoda: Gonodactylidae)
Figure 5. Gonodactylopsis komodoensis sp. nov.: A–L, male, TL 16 mm, Bunaken, Indonesia, AM P105857; M, male, TL 11 mm, Siladen Island, Indonesia, AM P105856; N, holotype female, TL 22 mm, Komodo, Indonesia, USNM 260914. (A) anterior cephalothorax, dorsal view; (B) right eye, lateral view; (C) ocular scales; (D) rostral plate, lateral view; (E) right antenna, lateral view; (F) right raptorial claw, lateral view; (G) thoracic somites 6–8, right lateral view; (H) abdominal somite 6, telson and right uropod; (I) abdominal somites 5, 6 and telson, lateral view; (J) right uropod, ventral view; (K) telson, ventral view; (L) right pleopod 1 endopod, anterior view; (M, N) telson, dorsal outline. Scale: A–K, M, N = 2.0 mm; L = 1.0 mm.
Figure 3 in Revision of the Indo-West Pacific Coral Reef Mantis Shrimp Genus, Gonodactylopsis Manning, 1969 (Crustacea: Stomatopoda: Gonodactylidae)
Figure 3. Gonodactylopsis drepanophora (De Man, 1902): A–H, holotype female, TL 19 mm, Ternate, Indonesia, SMF 5773; I–J, male, TL 12 mm, E Ashmore Reef, WAM C54274. (A) anterior cephalothorax, dorsal view; (B) ocular scales; (C) right antenna, lateral view; (D) right raptorial claw, lateral view; (E, I) abdominal somite 6, telson and right uropod; (F) telson, lateral view; (G) telson submedian and intermediate teeth, ventral view; (H) right uropod, ventral view; (J) right pleopod 1 endopod, anterior view. Scale: A–H = 1.0 mm, I = 0.8 mm, J = 0.4 mm.
Figure 3 in Elasmobranch diversity across a remote coral reef atoll revealed through environmental DNA metabarcoding
Figure 3. Spatial variation in elasmobranch abundance and diversity inferred from eDNA metabarcoding of surface (A) and deep (40 m) (B) water samples collected around Diego Garcia. Negaprion acutidens is not visible in the charts as a result of low copy number, but was detected at site 8 in surface samples. Numbers correspond to the site numbers detailed in Figure 1.
Figure 4 in Elasmobranch diversity across a remote coral reef atoll revealed through environmental DNA metabarcoding
Figure 4. Venn diagram showing the overlap of shark species detected in previous UVC and BRUVS surveys in the MPA and the eDNA samples from around Diego Garcia analysed in this study.
NOAA NCCOS Assessment: Agency priorities for mapping coral reef ecosystems in Puerto Rico and the U.S. Virgin Islands, 2021-11-03 to 2022-01-14
<p>Description:</p> <p>The National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) developed a spatial framework, process, and online application (Buja and Christensen 2019) to identify mapping needs along the Puerto Rico and U.S. Virgin Island (USVI) coasts to support shallow coral reef management by NOAA’s Coral Reef Conservation Program (CRCP). Participants from local, federal, academic, and other institutions (sixteen in Puerto Rico, eighteen in USVI), entered their priorities in an online participatory Geographic Information System (pGIS). Participants used virtual coins to denote their priorities in 2.6 km<sup>2</sup> hexagonal grid cells overlaid on the study area, individually for Puerto Rico and USVI. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important, what data types were needed, and data collection methodologies using a pre-set list of options. Results were compiled, summarized, and mapped to identify high priority areas, reasons for those priorities, and information needs. Identifying these high priority areas provide a critical spatial framework for prioritizing mapping efforts in shallow coral reef ecosystems in Puerto Rico and USVI.</p> <p> </p> <p>Purpose:</p> <p>The overall goal of the project was to systematically gather and quantify suggestions for mapping needs to support management of shallow coral reef ecosystems along the coasts of Puerto Rico and USVI. This dataset supports these goals by compiling input from a diversity of regional experts on their recommended priorities for mapping data collection.</p> <p> </p> <p>Methods:</p> <p>An advisory group was established which included individuals from NOAA CRCP and NOAA Fisheries. This advisory team customized the pGIS process specifically to meet the needs of CRCP and local coral reef manager priorities. In the online pGIS, the Puerto Rico study area was divided into 2007 hexagonal grid cells 2.6 km2 in size. The USVI study area was divided into 644 hexagonal grid cells 2.6 km2 in size. Existing relevant spatial datasets (e.g., bathymetry, Sanctuary Protection Areas, etc.) were provided as a digital atlas to help participants understand information and data gaps within the project area and to identify locations they wanted to prioritize for future data collections. The pGIS was used by 16 participants in Puerto Rico and 18 participants in USVI to convey their recommendations. Each Puerto Rico participant was provided with 600 virtual coins to place into grid cells that they wished to prioritize. Each USVI participant was provided with 200 coins. They were instructed to place more coins in grid cells that were higher priorities. A maximum of 60 coins could be placed into an individual grid cell in Puerto Rico by each respondent, and a maximum of 20 coins could be place into an individual grid cell in USVI. Respondents also reported why these locations were important by selecting a minimum of one, and a maximum of two, management uses from the following list: endangered species management (e.g.,), habitat restoration, monitoring, coastal vulnerability planning, watershed management, fisheries management, consultations and permitting, emergency response, and spatial protection and management. Respondents also reported requirements of data were needed in priority cells. A minimum of one, to a maximum of two choices were selected from the following list: delineations of large topographic features, delineations of hard vs. soft bottom, models of habitat suitability for key taxa or communities, delineations of substrate type (e.g. sand, mud, coral, rock), models of presence/absence or density of corals, identification of coral species and their local environments, documentation of individual specimen condition. Coin values were summarized and mapped to identify high priority areas, reasons for those priorities, and information needs. This ESRI shapefile contains the 2.6 km2 grid cells used in this prioritization and their associated coin values overall, as well as by management use, data product, and mapping methodology. Other summary values include the number of participants, number of participating groups, number of management uses, and number of data requirements. Additionally, coins for microscale (identification of coral species and their local environments and documentation of individual specimen condition), mesoscale (delineations of substrate type, models of presence/absence/density of corals), and regional (delineations of topographic features, delineations of hard vs. soft bottom, models of habitat suitability) requirements were summarized. Also included is a ranking of each grid cell based on the total number of coins, management uses, and participating groups allocating coins in the respective cell. For a complete description of the process and analysis see: Kraus et al. 2022, in prep.</p> <p> </p>
Fig. 5 in Histopatological effects of bleaching and disease on the coral Siderastrea stellata from coastal reefs of Brazil
Fig. 5. Degraded reproductive structures of Siderastrea stellata Verrill, 1868: a-b, stage V oocytes from healthy sample; c, spermatids from white plague disease samples; d, mesenteric filaments from bleached sample. Note in (d) black arrow points tonecrosis of mesenteric filaments.
Fig. 4 in Histopatological effects of bleaching and disease on the coral Siderastrea stellata from coastal reefs of Brazil
Fig. 4. Comparison of mean densities of zooXanthellae per 100 µm2 of gastrodermis between healthy samples, bleached, white plague diseased and colonies of coral Siderastrea stellata Verrill, 1868 with pigmentation pattern altered (PPA).
Fig. 2. Siderastrea stellata Verrill, 1868 in Histopatological effects of bleaching and disease on the coral Siderastrea stellata from coastal reefs of Brazil
Fig. 2. Siderastrea stellata Verrill, 1868 colonies healthy conditions (a), bleached (b), white plague disease (c), and colonies with pigmentation pattern altered (PPA) (d). And their respective histological sections, stained in H & E: a.1, healthy body wall epithelial layers; b.1, body wall with gastrodermis and mucus laden calicodermis, black arrow pointing to necrosis of gastrodermis, and red arrow pointing to mucocytes promote hyperplasia of the mesoglea; c.1, epithelium disrupted and presence of many mucocytes (black arrow), and focal vacuolation of gastrodermis (red arrow); d.1, basal body wall with calicodermis, and necrosis of eternal epithelium (black arrow).
Fig. 3 in Histopatological effects of bleaching and disease on the coral Siderastrea stellata from coastal reefs of Brazil
Fig. 3. Photomicrographs of organisms associated with bleached sample (a) black arrow is pointing to diatom (see striated frustule) on the surface of corals. The epidermis is atrophied and cuboidal and gastrodermis is bereft of zooXanthellae (atrophy) and markedly vacuolated; b, dead autolyzed tissue with another likely diatom (black arrow); c-d, dissociated tissues with fungal hyphae (black arrow); d, shows fungal hyphae (black arrow) invading coral tissue with necrosis.
Connectivity modelling identifies sources and sinks of coral recruitment within reef clusters
<p>This study uses biophysical modelling to estimate coral larval connectivity estimates within the Moore Reef cluster, northern Great Barrier Reef, for the annual spawning events of Acropora corals in 2015, 2016 and 2017.</p> <p>Moore_2015_simple.nc, Moore_2016_simple.nc and Moore_2017_simple.nc contain the hydrodynamic data for the Moore Reef cluster.</p> <p>Moore_grid.nc contains the Moore Reef cluster grids data and Moore_spatial.csv contain the centroids of spatial polygons in the Moore Reef cluster.</p> <p>sysdata.rda contains GBR1 grids data, u_spring.rds and u_gbr1.rds contain mean surface velocities for Moore Reef cluster and GBR1 domain.</p> <p>The transfer probability matrix data contain the connectivity matrices for the days and years that were considered.</p>
Fig. 6 in Decadal status of Acanthaster planci (Linnaeus, 1758) along the coral reef habitat of Andaman and Nicobar Islands
Fig. 6 — Substrate specificity of A. planci (CoTS) in Andaman and Nicobar Islands (a - Dorsal view of A. planci; b - Ventral view of A. planci; c & d - Animal grazing on Acroporidae corals; e - Animal grazing on Poritidae corals; f - Animal in coral crevice; g - Animal grazing on sponges and algae; and h - Feeding scar on aroporid corals due to A. planci
Fig. 4 in Decadal status of Acanthaster planci (Linnaeus, 1758) along the coral reef habitat of Andaman and Nicobar Islands
Fig. 4 — PCA of A. planci (CoTS) population in Andaman and Nicobar Islands (N&MA- North & Middle Andaman, SA- South Andaman, N-Nicobar)
Fig. 1 in Status and importance of research on marine sponges in India with special reference to sponges on coral reefs
Fig. 1 — Sponges overgrowing corals in different reef areas in India: a) Terpios hoshinota invading a coral colony in Poovarasanpatti Island of Gulf of Mannar; b) An unknown sponge species invading a coral colony in Bangaram Island of Lakshadweep; and c) Cliona sp. invading a coral colony in Rock Garden area in Malvan coast, Maharashtra
Figure 3. Structurally complex high rugosity coral-dominated reef habitat. Image shows fixed transect 01 from the start pin looking toward a 180 in Fishes of War in the Pacific National Historic Park
Figure 3. Structurally complex high rugosity coral-dominated reef habitat. Image shows fixed transect 01 from the start pin looking toward a 180° heading in the Asan Beach unit (NPS photo).
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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
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.