Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
33
datasets available to search
ShareScore release 0.9.0
Dataset results
33 results for “Steller”
Reinhard Steller (s4891)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Reinhard Steller<br><u>musiXplora-ID</u>: s4891<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/s4891">https://musixplora.de/mxp/s4891</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 1934<br><u>Place of Birth</u>: Undefined<br><u>Date of Death</u>: 2008<br><u>Place of Death</u>: Undefined<br><u>First Mentioned</u>: 1978<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Cembalobauer, Clavichordbauer<br><u>Professions (Musical)</u>: Tasteninstrumentenhersteller<br><u>Professions (Non-Musical)</u>: Ingenieur<br><u>Other Places of Activity</u>: Reinbek<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Рис. 8. РаспреΑеΛение гнезΑ беΛопΛечего орΛана в заΛиве Счастья по состоянию на 2018–2020 гг. Красными точками показаны занятые гнезΑа, сиреневыми — незанятые, жеΛтыми — брошенные Fig. 8. Distribution of Steller's sea eagle nests of the Bay of Schastꞌе as of 2018–2020. Red dots indicate occupied nests, purple dots indicate unoccupied nests, and yellow dots indicate abandoned nests in New data on rare and insufficiently studied birds of the Shchastya Bay, the Sea of Okhotsk, and adjacent territories (Khabarovsk Krai)
Рис. 8. РаспреΑеΛение гнезΑ беΛопΛечего орΛана в заΛиве Счастья по состоянию на 2018–2020 гг. Красными точками показаны занятые гнезΑа, сиреневыми — незанятые, жеΛтыми — брошенные Fig. 8. Distribution of Steller's sea eagle nests of the Bay of Schastꞌе as of 2018–2020. Red dots indicate occupied nests, purple dots indicate unoccupied nests, and yellow dots indicate abandoned nests
Рис. 7. РаспреΑеΛение гнезΑ беΛопΛечего орΛана Haliaeetus pelagicus на береговой кромке заΛ. Счастья по состоянию на 2009 г. Красными точками показаны занятые гнезΑа, сиреневыми — незанятые, жеΛтыми — брошенные Fig. 7. Distribution of nests of the Steller's Sea Eagle Haliaeetus pelagicus on the coastal edge of the Bay of Schastꞌе as of 2009. Red dots indicate occupied nests, purple dots indicate unoccupied nests, and yellow dots indicate abandoned nests in New data on rare and insufficiently studied birds of the Shchastya Bay, the Sea of Okhotsk, and adjacent territories (Khabarovsk Krai)
Рис. 7. РаспреΑеΛение гнезΑ беΛопΛечего орΛана Haliaeetus pelagicus на береговой кромке заΛ. Счастья по состоянию на 2009 г. Красными точками показаны занятые гнезΑа, сиреневыми — незанятые, жеΛтыми — брошенные Fig. 7. Distribution of nests of the Steller's Sea Eagle Haliaeetus pelagicus on the coastal edge of the Bay of Schastꞌе as of 2009. Red dots indicate occupied nests, purple dots indicate unoccupied nests, and yellow dots indicate abandoned nests
Deep ecomorphological and genetic divergence in Steller's Jays (Cyanocitta stelleri, Aves: Corvidae)
<p>The relationship between ecology and morphology is a cornerstone of evolutionary biology, and quantifying variation across environments can shed light on processes that give rise to biodiversity. Three morphotypes of the Steller’s Jay (<em>Cyanocitta stelleri</em>) occupy different ecoregions in western North America that vary in climate and landcover. These morphotypes (Coastal, Interior, Rocky Mountain) differ in size, plumage coloration, and head pattern. We sampled 1,080 Steller’s Jays from 68 populations (plus 11 outgroups) to address three main questions using data on morphology, plumage, genetics (mtDNA, microsatellites), and ecological niches: (1) How do phenotypic and genetic traits vary within and among populations, morphotypes, and ecoregions? (2) How do population-level differences in Steller’s Jays compare to other sister species pairs of North American birds? (3) What can we infer about the population history of Steller’s Jays in relation to past climates, paleoecology, and niche evolution? We found substantial morphological, genetic, and ecological differentiation among morphotypes. The greatest genetic divergence separated Coastal and Interior morphotypes from the Rocky Mountain morphotype, which was associated with warmer, drier, and more open habitats. Microsatellites revealed additional structure between Coastal and Interior groups. The deep mtDNA split between Coastal/Interior and Rocky Mountain lineages of Steller’s Jay (ND2 ~7.8%) is older than most North American avian sister species and dates to approximately 4.3 mya. Interior and Rocky Mountain morphotypes contact across a narrow zone with steep clines in traits and reduced gene flow. The distribution of the three morphotypes coincides with divergent varieties of ponderosa pine and Douglas fir. Species distribution models support multiple glacial refugia for Steller’s Jays. Our integrative dataset combined with extensive geographic sampling provides compelling evidence for recognizing at least two species of Steller’s Jay.</p>
Data from: Steller's jays assess and communicate about predator risk using detection cues and identity
Predators can vary in the risk they pose, depending upon the factors such as body size, maneuverability, hunting strategy, and diet. Prey can also detect predators with different senses, such as seeing, hearing, or smelling them. We presented wild Steller's jays (Cyanocitta stelleri annectens) with visual cues (robotic raptors) or acoustic cues (call playbacks) of 4 different raptors to test how they assess risk and how this influences their alarm calls. The assessment of risk from different predator cues varied with different species of raptors: Jays responded to sharp-shinned hawks (Accipiter striatus) with an increase in latency to resume foraging regardless of whether they were seen or heard, whereas latency responses to northern goshawks (Accipiter gentilis) were longer if they were seen versus if they were heard. Furthermore, Steller's jays altered the acoustic structure of their alarm calls depending on the species of raptor and whether they saw or heard them. These results demonstrate that Steller's jay's assessment of risk involves an interaction between predator identity and predator detection cue and in response, they alter their acoustically-simple alarm calls in surprisingly nuanced ways.
Beta-hydroxybutyrate ketone concentrations via ketometer and colorimetric assay in Steller sea lion whole blood and plasma
<p>We evaluated the Precision Xtra™ ketometer during a larger study categorizing free-ranging Steller sea lion (<em>Eumetopias jubatus</em>; SSL) pup fasting status, necessitating identification of plasma β-hydroxybutyrate concentrations ([β-HBA]) around a < and ≥0.3 mmol/L threshold. Whole blood samples mixed with sodium heparin (NaHep) or ethylenediaminetetraacetic acid liquid anticoagulants were tested <10 minutes after collection (n=14; triplicate technical replicates). Plasma (stored at -80°C, NaHep, <em>Thaw1</em>) measured via our laboratory's <em>Reference Assay </em>(Sigma Aldrich, St. Louis, MO, Kit #MAK041) served as the standard [β-HBA] for ketometer comparisons. Our observed β-HBA range (0.0–1.6 mmol/L), consistent with published [β-HBA] of free-ranging Otariid pups, represented the lower 20% of the ketometer's range (0.0–8.0 mmol/L). The maximal coefficient of variation (%CV) of ketometer technical replicates was 9.1% (NaHep, whole blood). The majority of ketometer technical replicate sets (84%, including all matrices, anticoagulants, and thawings) were identical (CV=0%). We found linear relationships and agreement of ketometer [β-HBA] between whole blood preserved with different anticoagulants and between whole blood and plasma (<em>Thaw1</em>) measurements. The ketometer produced results with linearity to the <em>Reference Assay</em> for both whole blood and plasma (<em>Thaw1</em>). We identified a non-linear relationship between plasma at <em>Thaw1</em> and <em>Thaw2</em> (tested four months apart, NaHep), as only samples with higher SSL [B-HBA] decreased in concentration, and all others remained the same. With respect to categorizing SSL pup fasting, the ketometer % Accuracy, %Sensitivity, and %Specificity for samples with <em>Reference Assay</em> β-HBA <0.2 and >0.4 mmol/L were 100%. We adopted a modified procedure: plasma samples with mean ketometer concentrations ±0.1 mmol/L of 0.3 mmol/L β-HBA were re-evaluated using the <em>Reference Assay</em>, improving measurement precision from tenths (ketometer) to thousandths (assay) mmol/L. The Precision Xtra™ ketometer was valuable to our application, over the range of [β-HBA] observed in SSL pup plasma and whole blood samples.</p>
Mark-recapture dataset to estimate age-specific reproductive rates of Steller sea lions in Southeast Alaska
<p>Age, region, and year-specific estimates of reproduction are needed for monitoring wildlife populations during periods of ecosystem change. Population dynamics of Steller sea lions (<em>Eumetopias jubatus</em>) in Southeast Alaska varied regionally (with high population growth and survival in the north versus the south) and annually (with reduced adult female survival observed following a severe marine heatwave event), but reproductive performance is currently unknown. We used mark-resighting data from 1,006 SSL females marked as pups at age ~3 weeks of age from 1994–1995 and 2001–2005 and resighted from 2002–2019 (to a maximum age of 25) to examine age-, region-, and year-specific reproduction. In the north versus the south, age of first reproduction was earlier (beginning at age 4 versus age 5, respectively) but annual birth probabilities of parous females were reduced by 0.05. In an average year pre-heatwave, the proportion of females with pup at the end of the pupping season peaked at ages 12–13 with ~0.60/0.65 (north/south) with pup, ~0.30/0.25 with juvenile, and ~0.10 (both regions) without a dependent. In both regions, reproductive senescence was gradual after age 12: ~0.40, 0.40, and 0.20 of females were in these reproductive states, respectively, by age 20. Correcting for neonatal mortality, true birth probabilities at peak ages were 0.66/0.72 (north/south). No cost of reproduction on female survival was detected, but pup production remained lower (-0.06) after the heatwave event, which if sustained would result in population decline in the south. Reduced pup production and greater retention of juveniles during periods of poor prey conditions may be an important strategy for Steller sea lions in Southeast Alaska, where fine-tuning reproduction based on nutritional status may improve the lifetime probability of producing pups under good conditions in a variable and less productive environment. </p>
Steller sea lion pup plasma metabolites
<p>Geographic differences in population growth trends are well-documented in Steller sea lions (<em>Eumetopias</em> <em>jubatus</em>), a species of North Pacific pinniped listed under the U.S. Endangered Species Act in 1990 following a marked decline in population abundance that began during the 1970s. As population growth is intrinsically linked to pup production and survival, examining factors related to pup physiological condition provides useful information to management authorities regarding potential drivers of regional differences. During dam foraging trips, pups predictably transition among three fasting phases, distinguished by the changes in the predominant metabolic byproduct. We used standardized ranges of two plasma metabolites (blood urea nitrogen and β–hydroxybutyrate) to assign pups to fasting categories (n=1528, 1990–2016, 12 subpopulations): <em>Recently Fed–Phase I</em> (digestion/assimilation–expected hepatic/muscle glycogen usage), <em>Phase II</em> (expected lipid utilization), transitioning between <em>Phases II–III</em> (expected lipid utilization with increased protein reliance), or <em>Phase III</em> (expected protein catabolism). As anticipated, the majority of pups were classified as <em>Recently Fed–Phase I </em>(overall mean proportion=0.72) and few pups as <em>Phase III</em> (overall mean proportion=0.04). By further comparing pups in Short (<em>Recently Fed–Phase II</em>) and Long (all other pups) duration fasts, we identified three subpopulations with significantly (p<0.03) greater proportions of pups dependent upon endogenous sources of energy for extended periods, during a life stage of somatic growth and development: the 1) central (0.27 ± 0.09) and 2) western (0.36 ± 0.13) Aleutian Island (declining population trend) and 3) southern Southeast Alaska (0.32 ± 0.06; increasing population trend) subpopulations had greater Long fast proportions than the eastern Aleutian Islands (0.10 ± 0.05; stabilized population). Due to contrasting population growth trends among these highlighted subpopulations over the past 50+ years, both density-independent and density-dependent factors likely influence the dam foraging trip duration, contributing to longer fasting durations for pups at some rookeries.</p>
Mark-recapture dataset to estimate age-specific reproductive rates of Steller sea lions in Southeast Alaska
Open the record for dataset details and reuse information.
Steller sea lion pup plasma metabolites
Open the record for dataset details and reuse information.
Data from: Steller’s jays assess and communicate about predator risk using detection cues and identity
Open the record for dataset details and reuse information.
Beta-hydroxybutyrate ketone concentrations via ketometer and colorimetric assay in Steller sea lion whole blood and plasma
Open the record for dataset details and reuse information.
Data from: Geographic variation in diet, prey resources and exposure to parasites and saxitoxin in Steller sea lions in the Gulf of Alaska
Open the record for dataset details and reuse information.
Data from: Biogeochemical patterns in prey species reveal complex mercury exposure pathways from the environment to Aleutian Steller sea lions
Open the record for dataset details and reuse information.
Deep ecomorphological and genetic divergence in Steller’s Jays (Cyanocitta stelleri, Aves: Corvidae)
Open the record for dataset details and reuse information.
A highly contiguous reference genome for the Steller's jay (Cyanocitta stelleri)
Open the record for dataset details and reuse information.
Data from: Spatial distribution, movements, and geographic range of Steller sea lions (Eumetopias jubatus) in Alaska
The two stocks of Steller sea lions (Eumetopias jubatus) in Alaska include an endangered western stock, recently recovering in parts of its range following decades of decline, and an eastern stock which was removed from the U.S. Endangered Species List in 2013 following increasing numbers since the 1970s. Information on overlapping distributions of eastern and western sea lions is needed for management considerations. We analyzed >30,000 sightings collected from 2000-2014 of 2,385 sea lions that were branded as pups at 10 Alaskan rookeries to examine mesoscale (mostly <500km) spatial distribution, geographic range, and geographic population structure based on natal rookery, sex, and age during breeding and non-breeding seasons. Analyses of summary movement measures (e.g., natal rookery, sex, and age-class differences in spatial distribution and geographic range) indicate wide variation in rookery-specific movement patterns. Correlations between movement measures and population dynamics suggested movement patterns could be a function of density dependence. Animals from larger rookeries, and rookeries with slower population growth and lower survival, had wider dispersion than animals from smaller rookeries, or rookeries with high growth and survival. Sea lions from the largest rookery, Forrester Island, where survival and population trends are lowest, were the most widely distributed. Analysis of geographic population structure indicated that animals born in the eastern Aleutian Islands had the most distinct movements and had little overlap with other western sea lions. Northern Southeast Alaska, within the eastern stock, is the area of greatest overlap between stocks, and is important to western animals, especially those born in Prince William Sound. Detailed knowledge of distribution and movements of western sea lions is useful for defining recovery and population trend analysis regions that better reflect dispersion and population structure and provides valuable information to managers as critical habitat is re-evaluated and the location of the stock boundary reconsidered.
Data from: Rewriting the history of an extinction - was a population of Steller's sea cows (Hydrodamalis gigas) at St. Lawrence Island also driven to extinction?
The Kommandorskiye Islands population of Steller's sea cow (Hydrodamalis gigas) was extirpated ca 1768 CE. Until now, Steller's sea cow was thought to be restricted in historic times to Bering and Copper Islands, Russia, with other records in the last millennium from the western Aleutian Islands. However, Steller's sea cow bone has been obtained by the authors from St Lawrence Island, Alaska, which is significantly further north. Bone identity was verified using analysis of mitochondrial DNA. The nitrogen-15 (δ15N)/carbon-13 (δ13C) values for bone samples from St Lawrence Island were significantly (p ≤ 0.05) different from Bering Island samples, indicating a second population. Bone samples were dated to between 1030 and 1150 BP (approx. 800–920 CE). The samples date from close to the beginning of the mediaeval warm period, which could indicate that the population at St Lawrence Island was driven to extinction by climate change. A warming of the climate in the area may have changed the availability of kelp; alternatively or in addition, the animals may have been driven to extinction by the expansion of the Inuit from the Bering Strait region, possibly due to opening waterways, maybe following bowhead whales (Balaena mysticetus), or searching for iron and copper. This study provides evidence for a previously unknown population of sea cows in the North Pacific within the past 1000 years and a second Steller's sea cow extirpation event in recent history.
Data from: Natal and breeding philopatry of female Steller sea lions in southeastern Alaska
Information on drivers of dispersal is critical for wildlife conservation but is rare for long-lived marine mammal species with large geographic ranges. We fit multi-state mark-recapture models to resighting data of 369 known-aged Steller sea lion (Eumetopias jubatus) females marked as pups on their natal rookeries in southeastern Alaska from 1994-2005 and monitored from 2001-15. We estimated probabilities of females being first observed parous at their natal site (natal philopatry), and of not moving breeding sites among years (breeding philopatry) at large (> 400 km, all five rookeries in southeastern Alaska) and small (< 4 km, all islands within the largest rookery, Forrester Island Complex, F) spatial scales. At the rookery scale, natal philopatry was moderately high (0.776-0.859) for most rookeries and breeding philopatry was nearly 1, with < 3% of females switching breeding rookeries between years. At more populous islands at F, natal philopatry was 0.500-0.684 versus 0.295-0.437 at less populous islands, and breeding philopatry was 0.919-0.926 versus 0.604-0.858. At both spatial scales, the probability of pupping at a non-natal site increased with population size of, and declined with distance from, the destination site. Natal philopatry of < 1 would increase gene flow, improve population resilience, and promote population recovery after decline in a heterogeneous environment. Very high breeding philopatry suggests that familiarity with neighboring females and knowledge of the breeding site (the topography of pupping sites and nearby foraging locations) may be a critical component to reproductive strategies of sea lions.
Steller's Sea Cow NMNH - Paris
This is a 3D model of a complete Steller's Sea Cow (Hydrodamalis gigas) specimen on display at the Gallery of Comparative Anatomy at the National Museum of Natural History, Paris. The animal is named after Georg Wilhelm Steller who first encountered its kind during Vitus Bering's 1740-1742 expedition in the Bering Sea. Within decades of being encountered by European explorers, it was hunted to extinction. 3D model was made in from 1309 images processed in Reality Capture. Additional processing was completed in Geomagic Wrap, InstantMeshes, Substance Designer, and Blender. Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
Understand access before you commit
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.