Find research datasets worth reusing

opencc-by-4.0Aug 2017View details →

Figure 1. Prolonged association between a pair and a in Prolonged association between a pair and a related male in breeding Whooper Swans (Cygnus cygnus)

Figure 1. Prolonged association between a pair and a closely related individual (offspring) of the Whooper Swan (Cygnus cygnus): A – unmarked female, three cygnets, additional male 3R23 (3rd calendar year) and adult male 3R22 (seen from left to right), 21 July 2007; B – female AC4972, adult male 1R25 and additional male 2T21 (2nd calendar year), 6 July 2016.

Fig. 4 in First case report of Metorchis orientalis from Black Swan

Fig. 4. The investigation of the intermediate and definitive hosts of M. orientalis in the lake where the Black Swan lived. A: P. striatulusis. Scale bar = 0.5 cm. B: R. auricularia. Scale bar = 0.5 cm. C: C. chinensis. Scale bar = 0.5 cm. D: C. auratus. Scale bar = 1 cm. E: M. anguillicaudatus. Scale bar = 1 cm. F: P. parva. Scale bar = 1 cm. G: Rhodeinae. Scale bar = 1 cm. H: A. rivularis. Scale bar = 1 cm. I and J: Waterfowl.

Fig. 1 in First case report of Metorchis orientalis from Black Swan

Fig. 1. Examination of the flukes in the Black Swan's liver and gallbladder. A: The fluke in the Black Swan's bile duct. B: The fluke in the Black Swan's swollen gallbladder. C: Tissue sections showed that the Black Swan's bile duct was blocked by a trematode. The bile duct (BD) was thickened and the liver tissue had focal necrosis (FN). The magnification was 100×. The flukes were pointed by the arrow.

Fig. 3 in First case report of Metorchis orientalis from Black Swan

Fig. 3. Phylogenetic relationships of M. orientalis from Black Swan with other Opisthorchiidae trematodes based on ITS sequences.

Fig. 2 in First case report of Metorchis orientalis from Black Swan

Fig. 2. The morphology and internal structure observation of M. orientalis in the present study. A: The morphology and internal structure of M. orientalis adults isolated from the Black Swan. The worms were brown colored, measuring 7040.00 + 2060.30 μm in length and 975.12 + 365.00 μm in width. Oral sucker, ventral sucker, vitellaria, uterus, ovary, seminal receptacle, protestis and hind testis of this adult were marked respectively. Scale bar = 200 μ m. B: The morphology and internal structure of M. oriental eggs from the Black Swan. The egg was yellow-brown colored, containing a well-developed miracidium, the egg operculum was large and a small spine was at the rear end. Scale bar = 10 μ m. C: The metacercariae in fish flesh of P. parva. They were oval shaped with thick cyst wall containing a movable larva with a brownish yellow excretory sac. Scale bar = 50 μ m. D: An isolated metacercariae. Scale bar = 20 μ m. E: Eggs of M. orientalis in feces of other Swans where the Black Swan lived. Scale bar = 10 μ m. F: Egg of M. orientalis in feces of ducks where the Black Swan lived. Scale bar = 10 μ m. G: Drawings of specimens of M. orientalis adult. Oral sucker, pharynx, intestine, ventral sucker, gonopore, vitellaria, uterus, ovary, seminal receptacle, protestis and hind testis were marked respectively. H: Drawings of specimens of M. orientalis metacercariae. The thick cyst wall, larva, oral sucker, ventral sucker and excretory sac were marked respectively. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Sep 2023View details →

SWAN wave model simulations of the Terra Nova Bay Polynya

Results of SWAN model simulations of the Terra Nova Bay Polynya, described in Herman and Bradtke 2023 "Fetch-limited, strongly forced wind waves in waters with frazil and grease ice — spectral modelling and satellite observations in an Antarctic coastal polynya". The zip file contains two folders: <ol> <li>"swan", with subfolders:</li> </ol> <ul> <li>"input" (input grids, wind, and ice concentration for the ten polynya events)</li> <li>"S0" (SWAN input files and results for mode version S0)</li> <li>"S2_f5" (SWAN input files and results for mode version S2_f5)</li> </ul> <ol> <li>"Tp_from_satellite_swangrid" (peak wave periods and peak wave directions derived from satellite data, interpolated onto the grid of the SWAN model)</li> </ol> Input files for other model versions discussed in the paper can be easily obtained by manipulating coefficients in *.swn files. The input files work with SWAN version 41.45

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Hypereutrophic lake spatial sensor data during summer bloom, Swan Lake, Iowa, USA 2018

Weekly spatial measurements of chlorophyll a, phycocyanin, dissolved oxygen, pH, conductivity, total dissolved solids from a multiparameter handheld sonde in 65 meter grid across the entire lake during an ice-free algal bloom. While sonde measurements were being recorded macrophyte presence was also documented. Spatial measurements where made in Swan Lake in Iowa, USA during 2018. Spatial data are unaltered from data collection from sonde. These data were used to test for spatial heterogeneity during, before, and after a harmful algal bloom.

openCC (other)Sep 2019View details →

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Apparent breeding success drives long-term population dynamics of a migratory swan

The ability of a species to adapt to environmental change is ultimately reflected in its vital rates – i.e., survival and reproductive success of individuals. Together, vital rates determine trends in numbers, commonly monitored using counts of species abundance. Rapid changes in abundance can give rise to concern, leading to calls for research into the biological mechanisms underlying variations in demography. For the NW European population of Bewick's swan (Cygnus columbianus bewickii), there have been major changes in the population trends recorded during nearly five decades of monitoring (1970-2016). The total number of birds increased to a maximum of c. 30,000 in 1995 and subsequently decreased to about 18,000 individuals in 2010. Such large fluctuation in population numbers is rare in long-lived species and understanding the drivers of this population change is crucial for species management and conservation. Using the integrated population model (IPM) framework, we analysed three demographic datasets in combination: population counts, capture-mark-resightings (CMR) and the proportion of juveniles in winter over a period of ~50 years. We found higher apparent breeding success in the years when the population had a positive growth rate compared to years with a negative growth rate. Moreover, no consistent trend in adult and yearling survival, and an increasing trend in juvenile survival was found. A transient life-table response experiment showed that apparent breeding success and adult survival contributed most to the variation in population trend. We explored possible explanatory variables for the different demographic rates and found a significant association between juvenile survival both with the water level in lakes during autumn migration, which affects food accessibility for the swans, and with summer temperatures. Such associations are important for understanding the dynamics of species with fluctuating population sizes, and thus for informing management and conservation decisions.

opencc-zeroSep 2020View details →

A quantitative method to calibrate the SWAN wave model - pre-processed model outputs

The pre-processed MAT files for the paper 'A quantitative method to calibrate the SWAN wave model'

opencc-zeroSep 2019View details →

dryad36/100

Data from: Corralling a black swan: natural range of variation in a forest landscape driven by rare, extreme events

The natural range of variation (NRV) is an important reference for ecosystem management, but has been scarcely quantified for forest landscapes driven by infrequent, severe disturbances. Extreme events such as large, stand-replacing wildfires at multi-century intervals are typical for these regimes; however, data on their characteristics are inherently scarce, and, for land management, these events are commonly considered too large and unpredictable to integrate into planning efforts (the proverbial 'Black Swan'). Here, we estimate the NRV of late-seral (mature/old-growth) and early-seral (post-disturbance, pre-canopy-closure) conditions in a forest landscape driven by episodic, large stand-replacing wildfires: the Western Cascade Range of Washington, USA (2.7 million ha). These two seral stages are focal points for conservation and restoration objectives in many regions. Using a state-and-transition simulation approach incorporating uncertainty, we assess the degree to which NRV estimates differ under a broad range of literature-derived inputs regarding: a) overall fire rotations, and b) how fire area is distributed through time – as relatively frequent smaller events (less episodic), or fewer but larger events (more episodic). All combinations of literature-derived fire rotations and temporal distributions (i.e. 'scenarios') indicate that the largest wildfire events (or episodes) burned up to 10^5-10^6 hectares. Under most scenarios, wildfire dynamics produced 5th-95th percentile ranges for late-seral forests of ~47-90% of the region (median 70%), with structurally complex early-seral conditions composing ~1-30% (median 6%). Fire rotation was the main determinant of NRV, but temporal distribution was also important, with more episodic (temporally clustered) fire yielding wider NRV. In smaller landscapes (20,000 ha; typical of conservation reserves and management districts), ranges were 0-100% because fires commonly exceeded the landscape size. Current conditions are outside the estimated NRV, with the majority of the region instead covered by dense mid-seral forests (i.e. a regional landscape with no historical analog). Broad consistency in NRV estimates among widely varied fire regime parameters suggests these ranges are likely relevant even under changing climatic conditions, both historical and future. These results indicate management-relevant NRV estimates can be derived for seral stages of interest in extreme-event landscapes, even when incorporating inherent uncertainties in disturbance regimes.

opencc-byMar 2022View details →

Old Swan Stairs Log

A log on the Thames foreshore about 20 meters east of Old Swan Stairs (near London Bridge, north bank), London. The log was recorded by Thames Discovery on March 6th 2022. https://twitter.com/ThamesDiscovery/status/1500058687423098888?s=20&t=K0QDOUuJPPSZcPdH4q3nhA 234 photos taken in March 2022 with a Sony a7R III and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab

opencc-bySep 2021View details →

Swan Lane Foreshore Hole

An area of heavy erosion on the Thames foreshore by Swan Lane stairs, London. I photographed this area based on the suggestion of Stuart Wyatt (Museum of London) as it is likely to be back-filled at some time to protect the foreshore wall. Caution is advised if visiting this location as it is a pinch-point on the foreshore. If you pass this point you could be cut off by the incoming tide. The adjacent stairs can be seen here: https://skfb.ly/6ZKH7 819 photos taken in September 2021 with a Sony a7R III and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab

opencc-byMar 2021View details →

Old Swan Stairs

A ruined set of stairs on the Thames foreshore, northbank, west of London Bridge at the south end of Swan Lane. It is believed that Samuel Pepys once used these stairs and later, after the stairs fell into disrepair they became a pier. Recently there were plans to reopen the pier at this location. 861 photos taken in March 2021 with a Sony a6000 and processed in Reality Capture. There is a scan of this location by @LevARQ from 2 years previously here: https://skfb.ly/6ByJH Source: Objaverse 1.0 / Sketchfab

opencc-byJan 2021View details →

Mayfield (1945) Shipwreck Swan River

Mayfield was a barge, first registered in 1899. During WWII it was used to carry armour plating over to Wadjemup (Rottnest Island) for the guns at Oliver Hill. It sunk in Rocky Bay in 1945. 1242 images recorded on the 13th of December 2020. Camera: Sony RX100IV with Fantasea UWL-400Q Wide Angle Wet Lens. Processed in Agisoft Metashape. Meshed directly from sparse cloud. Scaled 1 unit = 1m. http://museum.wa.gov.au/maritime-archaeology-db/wrecks/id-1367 Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2015View details →

Nude Woman with Swan Statue

Statue of naked woman cuddling with a swan because that's totally normal in Budapest. Model created using Autodesk recap360. Source: Objaverse 1.0 / Sketchfab

opencc-byApr 2021View details →

Swan River Houseboat Salvage

Recorded Paul Hasluck Reserve, Dalkeith, after being raised from the bottom of the Swan River. Grand Day Out sunk in October 2020, in Matilda Bay, after years of deterioration. It was 60T and 18.5 metres in length. It was salvaged by Shorewater Marine: https://www.facebook.com/shorewatermarine/posts/262166295701115 255 images from a Mavic Mini drone, processed in Agisoft Metashape. 30 April, 2021. Source: Objaverse 1.0 / Sketchfab

Figure 1 in New record of the Mute swan Cygnus olor (Gmelin, 1789) from the Transfiguration Island (Laptev Sea)

Figure 1. Map of study area with the marked place where Cygnus olor is registered.

opencc-by-4.0Oct 2024View details →

SWAN wave model simulations for Hornsund, Svalbard, 07.2015-06.2023

Results of SWAN model simulations from the paper: Herman, A., Swirad, Z., Moskalik, M., 2024, Increased exposure of the shores of Hornsund (Svalbard) to wave action due to a rapid shift in sea ice conditions. submitted to Elementa: The Science of Anthropogeny. The dataset contains SWAN results from three stations: Gåshamna (GAS; 76.9506°N, 15.7710°E, 22 m depth), Veslebogen (VES; 76.9951°N 15.4881°E, 16 m depth) and Hansbukta (HBK; 77.0031°N, 15.6298°E, 22 m depth).  For each station, 1D wave energy spectra and integral wave parameters are available, hourly from 01.07.2015 to 30.06.2023. There is one *.mat file for each station. The contents of these files is described in the text file info.txt.

opencc-by-4.0Sep 2024View details →

AIMS - SWAN Reanalysis dataset for a portion of the Thyrrenian Sea

This dataset contains high-resolution reanalysis data produced using the Simulating WAves Nearshore (SWAN) model. The dataset provides comprehensive metocean information, including wave parameters, wind speeds, and directions over an extended period. It is valuable for offshore and nearshore wind energy development, marine spatial planning, coastal engineering, and climate studies. The SWAN model is widely used for simulating the evolution of wind-generated waves in coastal areas, shallow waters, and enclosed regions. This reanalysis dataset is particularly suited for understanding wave climate variability, extreme weather events, and supporting risk assessments for marine and offshore operations.