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FIGURE 6 in Genetic connectivity in the spotted rose snapper Lutjanus guttatus (Lutjaniformes: Lutjanidae) between Mexico and Panama throughout the Tropical Eastern Pacific
FIGURE 6 | STRUCTURE-like plot with estimated cluster memberships for all individuals derived from the DAPC. Sampled locations include La Paz (LAP), Colima (COL), Oaxaca (OAX), Chiriquí (CHI), and Port of Panama (PP).
Supplementary materials for the manuscript "Revisiting the Contributions of Surface Sensible and Latent Heat Fluxes to Tropical Cyclones"
<p>A subset of outputs of the STD, CTL, SH+LH-_OUT and SH-LH+_OUT experiments in "Revisiting the Contributions of Surface Sensible and Latent Heat Fluxes to Tropical Cyclones".</p>
Figure 1 in Histological distinction between immature and regenerating females and its effect on maturity ogive estimation in three tropical hermaphroditic groupers
Figure 1. - Histological sections of ovaries in female Epinephelus morio (a), Mycteroperca bonaci (b) and Mycteroperca microlepis (c) in the regenerating phase (1), immature phase (2) and uncertain maturity phase (3). a1: E. morio, 72 cm FL, collected Jun. 1990; a2: E. morio, 68 cm FL, collected Jun. 1989; a3: E. morio, 51 cm FL, collected Aug. 1989. b1: M. bonaci, 107 cm FL, collected Jul. 1997; b2: M. bonaci, 62 cm FL, collected Oct. 1997; b3: M. bonaci, 65 cm FL, collected Jun. 1998. c1: M. microlepis, 97 cm FL, collected Jul. 1998; c2: M. microlepis, 82 cm FL, collected Aug. 1997; c3: M. microlepis, 89 cm FL, collected Jul. 1998. C, cord; BV, blood vessel; GW, gonad wall; MB, muscle bundle; OL, ovarian lamellae; PG, primary growth oocyte. Gabe and Martoja one-step trichrome stain. Scale bars = 300 microns.
Figure 4 in Histological distinction between immature and regenerating females and its effect on maturity ogive estimation in three tropical hermaphroditic groupers
Figure 4. - Size-frequency distributions of Mycteroperca microlepis females in immature, uncertain maturity, regenerating and mature active (developing, spawning capable, actively spawning and regressing) phases, collected in inshore and offshore waters of Campeche Bank, southern Gulf of Mexico.
Figure 2 in Histological distinction between immature and regenerating females and its effect on maturity ogive estimation in three tropical hermaphroditic groupers
Figure 2. - Size-frequency distributions of Epinephelus morio females in immature, uncertain maturity, regenerating and mature active (developing, spawning capable, actively spawning and regressing) phases, collected in inshore and offshore waters of Campeche Bank, southern Gulf of Mexico.
Figure 3 in Histological distinction between immature and regenerating females and its effect on maturity ogive estimation in three tropical hermaphroditic groupers
Figure 3.- Size-frequency distributions of Mycteroperca bonaci females in immature, uncertain maturity, regenerating and mature active (developing, spawning capable, actively spawning and regressing) phases, collected in inshore, offshore waters and coral reefs of Campeche Bank, southern Gulf of Mexico.
Figure 4 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 4. Monthly emergence of abundant Tanypodinae taxa (>1% of total abundance). Shaded area indicates dry season.
Figure 7 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 7. Dissimilarities (Bray-Curtis) between monthly samples of emerging Chironomidae for (a) Quebrada Prieta (USA; Puerto Rico) and (b) Kalengo River (Democratic Republic of the Congo). Grey circles are individual paired months and black circles are the average dissimilarities of all pairs of samples separated by the same number of months.
Figure 3 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 3. Monthly total abundance (a) and taxa richness (b) of emerging Chironomidae from Quebrada Prieta. Shaded area indicates dry season.
Figure 1 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 1. Average monthly water temperature (a) and rainfall (b) from stations near the sample site on Quebrada Prieta. Circles are average values of water temperature (1983-2018) and rainfall (1975-2021) with error bars representing standard deviation. Grey bars are data for February 1990 through January 1991. Water temperature data are from a downstream station in Quebrada Sonadora (McDowell 2021) and rainfall data are from the El Verde Field Station (Ramirez 2021).
Figure 6 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 6. Monthly emergence of abundant Chironominae taxa (>1% of total abundance). Shaded area indicates dry season.
Figure 5 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 5. Monthly emergence of abundant Orthocladiinae taxa (>1% of total abundance). Shaded area indicates dry season.
Quasi-invariance of Tropical Meridional Surface Temperature Gradient in a Wide Range of Climates
<p>Data generated in the study "Quasi-invariance of Tropical Meridional Surface Temperature Gradient in a Wide Range of Climates" are archived here</p>
Tropical Peatland Drainage Canal Methane Concentrations, Fluxes, and Isotopic Composition
<p>This dataset contains methane (CH<sub>4</sub>) concentration and <sup>13</sup>C isotope composition (δ<sup>13</sup>C-CH<sub>4</sub>) and environmental variables (canal dimensions, water quality, etc.) from canals draining peatlands in West Kalimantan, Indonesia. The data also contains CH<sub>4</sub> emissions measured using floating chambers and potential CH<sub>4</sub> oxidation rates and associated isotopic fractionation from a subset of studied canals, as well as porewater data from peat soils in the study region. Each data file contains a "README" tab with a guide for variable units and descriptions. </p> <p>File contents: </p> <ul> <li><strong>Canal_CH4_Survey_Perryman.xlsx </strong>= canal water CH<sub>4</sub> concentration and δ<sup>13</sup>C-CH<sub>4</sub> from a synpotic survey of canals in Kubu Raya Regency and Mempawah Regency, West Kalimantan, Indonesia. Data also includes canal properties, water chemistry, and estimates of the fraction of CH4 oxidized and diffusive emissions for each canal</li> <li><strong>Canal_Water_Incubations_Perryman.xlsx</strong> = measurements of dissolved CH<sub>4</sub> concentration and δ<sup>13</sup>C-CH<sub>4</sub> from canal water incubations</li> <li><strong>Floating_Chamber_Flux_Perryman.xlsx</strong> = CH<sub>4</sub> emissions and source δ<sup>13</sup>C-CH<sub>4 </sub>determined from floating chamber deployments on canals</li> <li><strong>Porewater_CH4_Perryman.xlsx </strong>= peatland porewater CH<sub>4</sub> concentration and δ<sup>13</sup>C-CH<sub>4</sub> from 6 profiles collected in the study area</li> </ul>
Offshore wind turbine damage probability maps and hub height TC wind speeds for U.S. Atlantic and Gulf Coasts exposed to historical and future tropical cyclones
<p>Damage probability maps for offshore wind turbines exposed to tropical cyclones (TCs) under both historical and future climate scenarios along the U.S. Atlantic and Gulf Coasts are presented in this dataset. TCs are generated using <a href="../records/10392725" target="_blank" rel="noopener">The Risk Analysis Framework for Tropical Cyclones (RAFT)</a>, forced by <a href="https://pcmdi.llnl.gov/CMIP6/" target="_blank" rel="noopener">CMIP6</a> historical and future global climate simulations. Maximum wind speeds for 20- and 50-year TCs are processed through a <a href="https://www.sciencedirect.com/science/article/pii/S0960148120311423">fragility function</a> specific to offshore wind (OSW) turbines in order to estimate the probability of damage – specifically yielding and buckling – based on wind speed intensity. </p> <p><strong>Included data:</strong></p> <ul> <li><strong>TC wind speeds:</strong> Peak 10-min mean hub height (90m) TC wind speed maps</li> <li><strong>Damage states:</strong> Yielding and Buckling probability maps for OSW turbines</li> <li><strong>Geographic coverage:</strong> U.S. Atlantic and Gulf Coasts (up to 200km from the shoreline)</li> <li><strong>Time periods:</strong> Historic (1980-2014) and Future (2066-2100)</li> </ul> <p><strong>Methodology:</strong></p> <ul> <li><strong>Tropical cyclone simulation:</strong> The RAFT TC model is used to simulate storms for historical and future climates using CMIP6 environmental conditions.</li> <li><strong>TC impact metric:</strong> Wind speeds associated with 20- and 50-year return period TCs are used to estimate the aerodynamic and sea wave loading on OSW turbines.</li> <li><strong>Fragility functions:</strong> Wind speeds are input into a fragility function developed for OSW turbines, estimating the probability of yielding and buckling damage.</li> <li><strong>Damage probability maps:</strong> The results consist of eight (8) gridded damage probability maps representing the likelihoods of yielding and buckling to OSW turbines from 20- and 50-year TCs under historical and future climatic conditions.</li> </ul> <p><strong>Potential Uses:</strong></p> <ul> <li>Assessing the spatial vulnerability of OSW infrastructure to TCs</li> <li>Supporting decision-making for the design and siting of turbines</li> <li>Evaluating the impact of climate change on the risk of damage to OSW infrastructure</li> </ul> <p>For further insights into this dataset, users are encouraged to refer to the associated paper: <a href="https://www.nature.com/articles/s43247-024-01887-6">https://www.nature.com/articles/s43247-024-01887-6</a></p> <p>This dataset offers valuable insights into the potential impact of TCs on offshore wind infrastructure, aiding in risk assessment and resilience planning for the renewable energy sector.</p> <p> </p>
Data used in the study: Highly dynamic gamma-ray emissions are common in tropical thunderclouds
<p>This repository includes the data presented in the study: Highly dynamic gamma-ray emissions are common in tropical thunderclouds.</p> <p>Detailed description is given in the uploaded pdf document: Data_description.pdf</p>
Data from: A snow-dwelling tropical butterfly? An unprecedented discovery of a new genus of the Pedaliodes clade in an extreme, high-altitude Andean environment (Lepidoptera: Nymphalidae, Satyrinae)
<p><span><span>A new genus of satyrine butterflies, </span></span><span><span><em>Nivaliodes </em></span></span><span><span><strong>gen. nov.</strong></span></span><span><span>, is described for three species, all new – </span></span><span><span><em>N. negrobueno </em></span></span><span><span><strong>sp. nov.</strong></span></span><span><span>,</span></span><span><span><em>N. virococha</em></span></span><span> </span><span><span><strong>sp. nov.</strong></span></span><span><span> and </span></span><span><span><em>N. puriq </em></span></span><span><span><strong>sp. nov.</strong></span></span><span><span> (Lepidoptera, Nymphalidae) – with a support of molecular data and adult morphology. Target enrichment-based phylogeny indicates </span></span><span><span><em>Nivaliodes </em></span></span><span><span><strong>gen. nov.</strong></span></span><span><span> is sister to the genus </span></span><span><span><em>Pherepedaliodes</em></span></span><span><span>within an extremely diverse </span></span><span><span><em>Pedaliodes</em></span></span><span><span> clade of the predominantly Andean subtribe Pronophilina</span></span><span><span><em>. </em></span></span><span><span>Whereas an overwhelming majority of species of this group occur in tropical montane forests, </span></span><span><span><em>N. negrobueno </em></span></span><span><span><strong>sp. nov.</strong></span></span><span><span> was discovered in a central Peruvian desert puna at some 4600-4800 m asl., the highest elevation reported for any species of the Pronophilina. Individuals were observed overflying rocky slopes and resting directly on snow-covered surfaces, which is an exceptionally unusual behaviour among butterflies. The other two species of the new genus were found at lower elevations, some 3300-4200 m asl. at the timberline and in puna grassland. </span></span></p>
Fig. 3 in The polyclads (Platyhelminthes: Polycladida) from the Tropical Eastern Pacific: Commented checklist and description of a new species
Fig. 3. Callioplana marianae sp. nov. A–B. Paratype, ⚥ (UMAR PLAT–047). C. Holotype, ⚥ (UMAR PLAT–046). D. Paratype, ⚥ (UMAR PLAT–048).A. Diagrammatic representation of complete specimen. B. Diagrammatic representation of nuchal tentacle and eyes. C. Diagrammatic representation of the male and female reproductive systems, in frontal histological sections. D. Diagrammatic representation of the male and female reproductive systems, in sagittal section. Abbreviations: b = brain; ce = cerebral eyes; cg = cement gland; dlv = duct of Lang's vesicle; fg = female gonopore; gcm = globuli cell masses; lv = Lang's vesicle; ma = male atrium; mg = male gonopore; nt = nuchal tentacle; p = pharynx; pv = prostatic vesicle; spv = spermiducal vesicle; st = stylet; sv = seminal vesicle; te = tentacular eyes; u = uterus; va = vagina.
Fig. 2 in The polyclads (Platyhelminthes: Polycladida) from the Tropical Eastern Pacific: Commented checklist and description of a new species
Fig. 2. Callioplana marianae sp. nov. A, D–G. Paratype, ⚥ (UMAR-PLAT–048). B–C, H. Holotype, ⚥ (UMAR-PLAT–046). A, D–G. Male and female reproductive system, in frontal histological sections. B–C, H. Male and female reproductive system, in sagittal sections. Abbreviations: cg = cement gland; fg = female gonopore; lv = Lang's vesicle; ma = male atrium; mg = male gonopore; pp = penis papilla; pv = prostatic vesicle; spv = spermiducal vesicle; sv = seminal vesicle; st = stylet; u = uterus; va = vagina.
Fig. 5 in The polyclads (Platyhelminthes: Polycladida) from the Tropical Eastern Pacific: Commented checklist and description of a new species
Fig. 5. State of knowledge of the polyclads described and recorded in the Tropical Eastern Pacific; species accumulation curve by decade.
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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)
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.