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5,946 results for “stocks”
A baseline for the genetic stock identification of Atlantic herring, Clupea harengus, in ICES Divisions 6.a, 7.b-c
<p>Atlantic herring in ICES Divisions 6.a, 7.b-c comprises at least three populations, distinguished by temporal and spatial differences in spawning, which have until recently been managed as two stocks defined by geographic delineators. Outside of spawning the populations form mixed aggregations, which are the subject of acoustic surveys. The inability to distinguish the populations has prevented the development of separate survey indices and separate stock assessments. A panel of 45 SNPs, derived from whole genome sequencing, were used to genotype 3,480 baseline spawning samples (2014-2021). A temporally stable baseline comprising 2,316 herring from populations known to inhabit Division 6.a was used to develop a genetic assignment method, with a self-assignment accuracy >90%. The long-term temporal stability of the assignment model was validated by assigning archive (2003-2004) baseline samples (270 individuals) with a high level of accuracy. Assignment of non-baseline samples (1,514 individuals) from Division 6.a, 7.b-c indicated previously unrecognised levels of mixing of populations outside of the spawning season. The genetic markers and assignment models presented constitute a 'toolbox' that can be used for the assignment of herring caught in mixed survey and commercial catches in Division 6.a into their population of origin with a high level of accuracy.</p>
High-resolution maps of material stock, population and employment in Austria from 1985 to 2018
<p>Global societal material stocks such as buildings and infrastructure accumulated rapidly within recent decades, along with population growth. Material stocks constitute the physical basis of most socio-economic activities and services, such as mobility, housing, health, or education. The dynamics of stock growth, and its relation to the population that demands those services, is an essential indicator for long-term societal resource use and patterns of emissions. The creation of societal material stock creates path dependencies for future resource use, with an important impact on how the transformation towards sustainable societies can succeed.</p> <p>This dataset features detailed maps of material stock and population, as well as the distribution of jobs, for Austria on a 30m grid. The data is based on recent maps of material stock and building volume (compare to Haberl et al. 2021, doi: 10.1021/acs.est.0c05642, data: https://zenodo.org/record/4522892), recent and historic census data, and a time series of Landsat TM, ETM+, and OLI Earth Observation data.</p> <p><strong>Temporal extent</strong></p> <p>The data contains annual maps from 1985 to 2018.</p> <p><strong>Data format and units</strong></p> <p>Per Austrian federal state, the data come in tiles of 30x30km. The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. Please consider the generation of image pyramids before using *.vrt files.</p> <p>All image data has 34 bands, where band 1 is data for 1985, and band 34 is data for 2018.</p> <p>The dataset features</p> <ul> <li>population (Scaled by 100 to reduce data storage size. Divide by 100 to get people per cell)</li> <li>jobs (Scaled by 100 to reduce data storage size. Divide by 100 to get jobs per cell)</li> <li>mass (in tons) of … <ul> <li>total material stock <ul> <li>material stock in buildings <ul> <li>in commercial and industrial buildings</li> <li>in multi-family residential buildings</li> <li>in high-rise buildings</li> <li>in single-family residential buildings</li> <li>in lightweight buildings</li> </ul> </li> <li>material stock in road infrastructure</li> <li>material stock in rail infrastructure</li> <li>material stock in other infrastructure</li> </ul> </li> </ul> </li> </ul> <p><strong>Further information</strong></p> <p>For further information, please see the publication or contact Franz Schug (fschug@wisc.edu). Visit our <a href="https://boku.ac.at/understanding-the-role-of-material-stock-patterns-for-the-transformation-to-a-sustainable-society-mat-stocks">website </a>to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.</p> <p><strong>Funding</strong></p> <p>This research was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).</p> <p> </p>
Carbon stock increase during post-agricultural succession in central France: no change of the superficial soil stock and high variability within forest stages
Open the record for dataset details and reuse information.
FIGURE 6 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 6 | Bayesian topology and species delimitation using Generalized Mixed Yule-coalescent (GMYC), Bayesian Poisson Tree Process (bPTP) and Automatic Barcode Gap Discovery (ABGD) discriminating species denominated pilombetas.
FIGURE 3 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 3 | Fresh specimens of the species identified in the study area. A. Anchoviella brevirostris (75.5 mm SL), B. Anchoviella cayennensis (90.3 mm SL), C. Anchoviella lepidentostole (83.2 mm SL), D. Anchovia clupeoides (120 mm SL), E. Cetengraulis edentulus (104.4 mm SL), F. Lycengraulis grossidens (98.7 mm SL). Photographs were taken by the first author.
FIGURE 4 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 4 | Principal Components Analysis indicating the visual ordination of the six species of pilombetas in the morphospace. Estimated changes in dorsal and ventral view shape are shown as deformations from the mean shape along the first and second principal components.
FIGURE 2 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 2 | Location of anatomical landmarks used for morphometric analyses: 1- distal point of the rostrum; 2- posterior end of the head; 3-anterior insertion of the dorsal fin; 4- insertion of the first upper radius of caudal fin; 5-insertion of the first lower radius of caudal fin; 6-anterior anal fin insertion; 7- insertion of the ventral fin; 8-insertion of the pectoral fin; 9- posterior end of the eye; 10- anterior end of the eye.
FIGURE 1 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 1 | Map of the sampling locality of pilombetas specimens in São Francisco estuary, northeastern Brazil. EPA = Environmental Protection Area.
Figure 2. Anoplodactylus monotrema Stock, 1979 in Anoplodactylus (Pycnogonida: Phoxichilidiidae)from Brazil, new records and two new species
Figure 2. Anoplodactylus monotrema Stock, 1979 (UFPB.PYC–127). Adult male. Habitus: a, dorsal view (scale bar: 1 mm); b, lateral view (scale bar: 1 mm); c, proboscis ventral view (scale bar: 0.05 mm); d, chela (scale bar: 0.1 mm); e, oviger (scale bar: 0.25 mm; detail of e: 0.05 mm); f, leg 3 (scale bar: 0.25 mm; detail of f, 0.05 mm); g, propodus (scale bar: 0.05 mm; detail of g, 0.025 mm).
Fig. 8 in Exploitation status and stock assessment of the smooth clam Callista chione (Linnaeus, 1758) in the northern Alboran Sea (GSA01-W Mediterranean Sea)
Fig. 8: Time trajectories from 2002 to 2015 and forecasting for the next 20 years (2016-2036) of the relative fishing mortality rate (F/Fmsy) and relative population biomass (B/Bmsy) estimated using a non-equilibrium surplus production model, setting maximum sustainable yield (MSY) at a level corresponding to the value of the latest year. The dotted lines represent the upper and lower 80% confidence limits.
Fig. 7 in Exploitation status and stock assessment of the smooth clam Callista chione (Linnaeus, 1758) in the northern Alboran Sea (GSA01-W Mediterranean Sea)
Fig. 7: Trajectories from 2002 to 2015 of relative fishing mortality and biomass for Callista chione in the northern Alboran Sea.
Fig. 3 in Exploitation status and stock assessment of the smooth clam Callista chione (Linnaeus, 1758) in the northern Alboran Sea (GSA01-W Mediterranean Sea)
Fig. 3: Distribution of artisanal fisheries by fishing gear and landing port from March 2013 to March 2014. Values are given as percentage contribution of each fishery in tonnes.
Fig. 4 in Exploitation status and stock assessment of the smooth clam Callista chione (Linnaeus, 1758) in the northern Alboran Sea (GSA01-W Mediterranean Sea)
Fig. 4: Number of vessels by landing port targeting bivalves with mechanised dredges, in the northern Alboran Sea.
Fig. 1 in Exploitation status and stock assessment of the smooth clam Callista chione (Linnaeus, 1758) in the northern Alboran Sea (GSA01-W Mediterranean Sea)
Fig. 1: Geographical subareas of the General Fisheries Commission for the Mediterranean (GFCM) and map of the study area in the northern Alboran Sea (W Mediterranean Sea), showing the locations of the fishing ports.
Fig. 5 in Exploitation status and stock assessment of the smooth clam Callista chione (Linnaeus, 1758) in the northern Alboran Sea (GSA01-W Mediterranean Sea)
Fig. 5: Evolution of catches and CPUE for Callista chione in the northern Alboran Sea between 2001 and 2015.
Fig. 2 in Exploitation status and stock assessment of the smooth clam Callista chione (Linnaeus, 1758) in the northern Alboran Sea (GSA01-W Mediterranean Sea)
Fig. 2: Number and average technical characteristics (gross tonnes, length, and engine power) of artisanal vessels per landing port along the Alboran Sea.
Dataset: Axcelis Technologies, Inc. (ACLS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: ACI Worldwide, Inc. (ACIW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: American Coastal Insurance Corporation (ACIC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: AC Immune SA (ACIU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
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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.