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2,525 results for “Archipelago”
Detecting local variations across metazoan communities in backreef depressions of Reunion Island (Mascarene Archipelago) through environmental DNA survey
<p>The back-reef depressions, or lagoons, of Reunion Island (western Indian Ocean) host a high abundance of organisms living amongst the coral reefs and are critical sites for artisanal fishing, tourism, and shoreline stability for the island. Over time, increasing degradation of Reunionese reefs has been observed due to overexploitation, beach erosion and eutrophication. Efforts to mitigate the impact of these pressures on aquatic organisms include biodiversity surveys primarily performed through visual censuses that can be logistically complex and may unintentionally overlook organisms. Surveys integrating environmental DNA (eDNA) collections have provided rapid biodiversity assessments, while helping to circumvent some limitations of visual surveys. The present study describes the results of an exploratory eDNA survey, which aims to characterize metazoan communities of four Reunionese lagoons located along the west coast of the island. As eDNA surveys first require deliberate study design and optimization for each new context, we sought to establish a modernized workflow implementing specialized equipment to collect and preserve samples to facilitate future studies in these lagoons. During the austral summer of 2023, samples were pumped directly from surface and bottom depths at each site through self-preserving filters which were then processed for DNA metabarcoding using regions of the 12S ribosomal RNA (12S), small ribosomal subunit 18S (18S) and Cytochrome Oxidase I (COI) genes. The survey detected high species richness that varied by site, and in a single collection period, recovered the presence of 60 teleost families and numerous invertebrate taxa, including members of the coral faunal community that are less studied in Reunion. Distinct biological communities were observed at each site, and within a single lagoon, suggesting that these differences are due to site-specific factors (e.g., environmental variables, geographic distance, etc.). Although continued protocol optimization is needed, the present findings demonstrate the successful application of an eDNA-based survey for biodiversity assessment within Reunionese lagoons.</p>
Galápagos Archipelago Refined Analysis Validation data
<p>This dataset includes (near) surface data variables from the <a href="https://data.klima.tu-berlin.de/GAR/">GAR</a> dataset for the model validation period from 2022-04-01 to 2023-03-31.</p> <p>As this data is part of the GAR dataset, please find additional data at <a href="https://data.klima.tu-berlin.de/GAR/">https://data.klima.tu-berlin.de/GAR/</a></p> <p>The <a href="https://www.unidata.ucar.edu/software/netcdf/">netCDF</a> format is self-describing, so that all needed metadata are included within the files.</p> <p>The file names are composed with the following structure:</p> <p><model-setup>_<horizontal-resolution>_<time-resolution>_<variable-name>.nc</p> <p>The shorthands in the file names represent the following:</p> <p><strong>MM</strong> = Name of the model setup, described in Schmidt et al. (unpublished)</p> <p><strong>d02km</strong> = domain with a grid spacing of 2 km</p> <p><strong>2d</strong> = spatial dimensions (2d data, single level)</p> <p><strong>3d_press</strong> = spatial dimensions (3d data, pressure level)</p> <p><strong>d</strong> = time frequency of the data (daily)</p> <p><strong>m</strong> = time frequency of the data (monthly)</p> <p><strong>y</strong> = time frequency of the data (yearly)</p> <p><strong>psfc</strong> = surface (sfc) pressure</p> <p><strong>q2</strong> = water vapor mixing ratio (qv) st 2 m</p> <p><strong>q</strong> = mixing ratio</p> <p><strong>prcp</strong> = total precipitation (step-wise)</p> <p><strong>et</strong> = actual evapotranspiration (step-wise)</p> <p><strong>t2</strong> = temperature (temp) at 2 m</p> <p><strong>theta</strong> = potential temperature</p> <p><strong>sh2 </strong>= specific humidity at 2 m</p> <p><strong>rh2 </strong>= relative humidity at 2 m</p> <p><strong>u10</strong> = 10 m u-wind component</p> <p><strong>v10</strong> = 10 m v-wind component</p> <p><strong>ws10</strong> = 10 m wind speed</p> <p><strong>w</strong> = w-wind component</p> <p><strong>wd10</strong> = 10 m wind direction</p> <p><strong>hgt </strong>= surface height</p> <p><strong>landmask </strong>= landmask</p> <p> </p> <p>The data is in accordance with the <a href="https://cfconventions.org/">CF Conventions</a> CF-1.8</p>
Tidal model for the Spermonde Archipelago (2017-2019)
<p>A simple, low-resolution DELFT 3D model (2 year water level simulation) for the Spermonde Archipelago, Indonesia. Full description and validation available at the github link: https://github.com/Alerovere/Tidal_model_Spermonde.git</p> <p>This work was supported through grant SEASCHANGE (RO-5245/1-1) from the Deutsche Forschungsgemeinschaft (DFG) as part of the Special Priority Program (SPP)-1889 “Regional Sea Level Change and Society”</p>
Wave and wind data from the Helsinki archipelago and Gulf of Finland
<p>Data source: Finnish Meteorological Institute</p> <p>This is wave and meteorological data collected in the Helsinki archipelago and GoF durin 2012-2018. Each file contains data and metadata for one location. The Gulf of Finland (GoF) site has a separate file for all integrated data (WaveData_GoF_integrated.nc), while separate files (WaveData_GoF_spectra_2016a.nc etc) exist for the spectra. This is because both a DWR Mk-III and DWR4/ACM wave buoy was used, and they have different sampling frequencies. Coinciding wind data is embedded in each file.</p> <p>The data are described in the publication "The wave spectrum in archipelagos", Ocean Science, 2019, DOI: 10.5194/os-15-1469-2019</p> <p> </p>
Ground surface temperature data 2007-2021 at different sites of the PERMATHERMAL monitoring network in Livingston and Deception Islands, SouthShetland Archipelago, Antarctica.
<p>Ground Surface Temperature (GST) corrected data adquired between 2007 and 2021 at different stations of the PERMATHERMAL monitoring network at Livingston and Deception Islands, South Shetland Archipelago, Antarctica.</p> <p>(To be completed)</p>
Data from: An update and reassessment of fern and lycophyte diversity data in the Japanese Archipelago
The fern and lycophyte flora of Japan comprising 721 native taxa (including subspecies and varieties) plus 371 combinations of interspecific hybrids was reassessed using a nearly comprehensively sampled distribution map at 10 km resolution vouchered by 216,687 specimens, up-to-date cytotaxonomic information covering 74 % of the taxa, and an rbcL sequence dataset covering 97.9 % of the taxa. Distribution of diversity was visualized by species richness and phylogenetic diversity. Apomixis was observed in 11.0 % of the native taxa whose reproductive modes are known. The number of sexually reproducing polyploid taxa (n = 199) is less than sexual diploids (n = 241), and 30 of them are evidently allopolyploid, in contrast with the low number of possible autopolyploids (n = 4). A morphological character dataset in Lucid format is provided for taxonomic identification of the native taxa.
Figure 6 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 6. Relative warps analysis (RWA) of 13 dorsal cranial landmarks from 22 individuals of R. hildebrandtii s.l. belonging to two molecular clades and two lineages of Clade 1 (see Fig. 3). Revised taxon names are provided in parentheses (see Taxonomic Conclusions). Skulls which were included in this analysis are indicated in Table S1. Symbols as in Fig. 5. Thin plate splines (grids) show landmark distortions represented by extremes of variation on RW1 (left = negative; right = positive) and RW2 (bottom = negative; top = positive) axes. The two skull photographs at the bottom are of actual specimens representing the negative (left: TM 41997ı smithersi from Pafuri) and positive (right: DM 11560ı cohenae from Mayoı Mpumalanga Province) extremes of variation on RW1. Landmark positions (filled circles) are shown in the photograph in the centre. doi:10.1371/journal.pone.0041744.g006
Figure 9 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 9. Dorsal (D), ventral (V) and lateral (L) view of bacula (tips on right) from four individuals (a–d) from Mpumalanga (Clade 1a = cohenae sp. nov.), two (e–f) from lowland sites in Mozambique (Clade 2 = mossambicus sp. nov.) and one (g) from Mt Mabu in Mozambique (Clade 1b = mabuensis sp. nov.). a = DM 11558 (Sudwala); b = DM 11620 (Barberton Tunnel; Topotype of cohenae); c = DM 11560 (Mayo); d = DM 11618 (Barberton Tunnel); e = DM 8580 (Gorongosa); f = DM 8578 (Niassa GR; Holotype of mossambicus); g = DM 10842 (Mt Mabu; Holotype of mabuensis). Bacula of Clade 1a (cohenae sp. nov.) have spatulate tip (rounded in Clades 2 (mossambicus sp. nov.) and 1b (mabuensis sp. nov.))ı typically emarginated basal portion (less so in Clades 2 and 1b) and shaft laterally compressed (cylindrical in Clades 2 and 1b) and sloping downwards in lateral view (horizontal in Clades 2 and 1b). doi:10.1371/journal.pone.0041744.g009
Figure 5 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 5. Canonical variates analysis (CVA) (a) of 10 cranial variables in five groups of the Rhinolophus hildebrandtii complex defined by molecular analysis; and PCA (b) of five cranial variables for sample in (a) with type series of hildebrandtii (''H¹'') and eloquens (''E¹'') added. Open circles = Clade 1a (= cohenae sp. nov.); closed circles = Clade 1b (= mabuensis sp. nov.); shaded circles = Clade 1d (= smithersi sp. nov.; Pafuri); asterisk enclosed in circle = Clade 1e (= smithersi sp. nov.; Zimbabwe); open squares = Clade 2 (mossambicus sp. nov.; Mozambique); shaded squares = Clade 2 (mossambicus sp. nov.; Lutopeı Zimbabwe); open diamonds = R. eloquens type series (Clade 3); crosses in circles = R. hildebrandtii type and co-type (Clade 1c). doi:10.1371/journal.pone.0041744.g005
Figure 1 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 1. Portraits of (a) Rhinolophus smithersi species novo, and (b) Rhinolophus mossambicus species novo, two of four new cryptic species described herein within the R. hildebrandtii complex. doi:10.1371/journal.pone.0041744.g001
Figure 4 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 4. Morphometric variation in a series representing the R. hildebrandtii complex from Lutope-Ngolangola, Zimbabwe: a) biplot of forearm length versus noseleaf width and b) PCA of five craniometric variables (M3M3, CM3, IOC, NW, NH) in 26 individuals of known (37 or 46 kHz) and unknown (?) frequency. Females indicated by open circlesı males by closed circles or crosses or asterisk. Voucher specimens for molecular sequencing study indicated by asterisk (Clade 1e: = smithersii sp. nov.; see Taxonomic Conclusions) and crosses (Clade 2: = mossambicus sp. nov.; see Taxonomic Conclusions). Hereafterı all individuals with a frequency of 37 kHz were assumed to belong to Clade 2 (mossambicus sp. nov.) and the 46 kHz individual was assumed to belong to Clade 1e (smithersi sp. nov.). doi:10.1371/journal.pone.0041744.g004
Figure 3. Consensus tree for the cytochrome b in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 3. Consensus tree for the cytochrome b dataset for representative genotyped specimens of the Rhinolophus hildebrandtii complex. The topology represents the consensus topology from a 20 million MCMC run implemented in BEAST. Estimates of divergence times (million years ago; Mya) are indicated adjacent to nodes or above branches and grey bars indicate 95% HPD values. The split between the Hipposideridae and Rhinolophidae was used as the calibration point. Taxa names include museum/field numbers which correspond to Appendix S1 or GenBank accession numbers and abbreviations are: RcfH - R. cf. hildebrandtiiı RD - R. darlingiı RE - R. eloquensı RF - R. fumigatusı RH - R. hildebrandtii s.l.ı RL - R. landeri and RR - R. ruwenzorii. Localitiesı where availableı are providedı abbreviations include SA - South Africaı MZ - Mozambiqueı and ZW - Zimbabweı and the numbers in parentheses correspond with place names in Table S1 and Fig. 2 for Clade 1 and 2 individuals. doi:10.1371/journal.pone.0041744.g003
Figure 7 in Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago
Figure 7. Relative warps analysis (RWA) of 12 lateral cranial landmarks from 23 individuals of R. hildebrandtii s.l. belonging to two molecular clades and two lineages of Clade 1 (see Fig. 3). Revised taxon names are provided in parentheses (see Taxonomic Conclusions). Skulls which were included in this analysis are indicated in Table S1. Symbols as is in Fig. 5. Thin plate splines (grids) show landmark distortions represented by extremes of variation on RW1 (left = negative; right = positive) and RW2 (bottom = negative; top = positive) axes. The two skull photographs at the bottom are of actual specimens representing the negative (left: DM 8577ı mossambicus from Namapaı Mozambique) and positive (right: DM 11560ı cohenae from Mayoı Mpumalanga Province) extremes of variation on RW1. Landmark positions (filled circles) are shown in the photograph in the centre. doi:10.1371/journal.pone.0041744.g007
Map of islands and shallow water areas in the Spermonde Archipelago (Indonesia)
<p>This repository contains data and code used to make a map of islands and shallow water areas for the Spermonde Archipelago, Indonesia. The map was obtained using a two-stepped classification approach, described below, and simple statistics and graphs were then calculated in python.</p> <p>This work was inspired by the "Geoscientific Project" of Mr. Dennis Flenner, University of Bremen, who classified the same area with SENTINEL2 and QGIS tools. This work was supported through grant SEASCHANGE (RO-5245/1-1) from the Deutsche Forschungsgemeinschaft (DFG) as part of the Special Priority Program (SPP)-1889 “Regional Sea Level Change and Society”.</p>
FIGURE 3 in Four new sympatric species of Tethya (Demospongiae: Hadromerida) from Abrolhos Archipelago (Bahia State, Brazil)
FIGURE 3. Tethya brasiliana sp. nov. A, preserved holotype (UFRJPOR 4670 A); B and C, architecture of the ectosome and choanosome; D, strongyloxea; E, spherasters and strongylasters; F, microspheraster; G, strongylaster and microoxyaster; H, microoxyaster. B – D, LM; E – H, SEM.
FIGURE 2 in Four new sympatric species of Tethya (Demospongiae: Hadromerida) from Abrolhos Archipelago (Bahia State, Brazil)
FIGURE 2. In situ closeups of three species of Tethya from Abrolhos Archipelago, Brazil. A, B, Tethya brasiliana sp. nov. (paratypes); C, Tethya ignis sp. nov. (holotype); D, Tethya rubra sp. nov. (holotype).
FIGURE 6 in Four new sympatric species of Tethya (Demospongiae: Hadromerida) from Abrolhos Archipelago (Bahia State, Brazil)
FIGURE 6. Tethya rubra sp. nov. A, preserved holotype (MNRJ 5316); B, architecture of the ectosome and choanosome; C, strongyloxea; D, E, spherasters; F, oxyaster; G, oxyaster and tylasters; H, tylaster. B – C, LM; D – H, SEM.
FIGURE 4 in Four new sympatric species of Tethya (Demospongiae: Hadromerida) from Abrolhos Archipelago (Bahia State, Brazil)
FIGURE 4. Tethya cyanae sp. nov. A, preserved holotype (MNRJ 6723); B, architecture of the ectosome and choanosome; C, strongyloxea; D, spheraster; E, spheraster and tylaster; F, oxyaster and tylaster; G, tylaster; H, microoxyaster and tylasters. B – C, LM; D – H, SEM.
FIGURE 5 in Four new sympatric species of Tethya (Demospongiae: Hadromerida) from Abrolhos Archipelago (Bahia State, Brazil)
FIGURE 5. Tethya ignis sp. nov. A, preserved holotype (MNRJ 5322 A); B, architecture of the ectosome and choanosome; C, strongyloxea; D, spheraster; E, oxyaster and tylaster; F, oxyaster. B – C, LM; D – F, SEM.
FIGURE 4 in Pseudochromis lugubris and P. tonozukai, two new dottyback fish species from the IndoAustralian Archipelago (Perciformes: Pseudochromidae: Pseudochrominae)
FIGURE 4. Pseudochromis tonozukai, female, underwater photo, Weh Island, off northern Sumatra, Indonesia. (Photo by T. Tonozuka).
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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
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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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