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11,198 results for “organs”
Orconectes sp. (Cambaridae) - whole organism
Image of Orconectes sp. (Cambaridae) - whole organism
Eurycea sp. (Plethodontidae) - whole organism
Image of Eurycea sp. (Plethodontidae) - whole organism
Baetis (Batidae) - whole organism
Image of Baetis (Batidae) - whole organism
Eurycea sp. (Plethodontidae) - whole organism
Image of Eurycea sp. (Plethodontidae) - whole organism
Orconectes placidus (Cambaridae) - whole organism
Image of Orconectes placidus (Cambaridae) - whole organism
Orconectes placidus (Cambaridae) - whole organism
Image of Orconectes placidus (Cambaridae) - whole organism
(Coreidae) - whole organism
Image of (Coreidae) - whole organism
(Coreidae) - whole organism
Image of (Coreidae) - whole organism
Rangifer tarandus (Cervidae) - whole organism
Image of Rangifer tarandus (Cervidae) - whole organism
Alces alces (Cervidae) - whole organism
Image of Alces alces (Cervidae) - whole organism
Sterna paradisaea (Laridae) - whole organism - in flight
Image of Sterna paradisaea (Laridae) - whole organism - in flight
Lagopus lagopus (Phasianidae) - whole organism
Image of Lagopus lagopus (Phasianidae) - whole organism
Alces alces (Cervidae) - whole organism
Image of Alces alces (Cervidae) - whole organism
Meleagris gallopavo (Phasianidae) - whole organism
Image of Meleagris gallopavo (Phasianidae) - whole organism
Ursus arctos (Ursidae) - whole organism
Image of Ursus arctos (Ursidae) - whole organism
Alopex lagopus (Canidae) - whole organism
Image of Alopex lagopus (Canidae) - whole organism
Fluxes of particulate organic carbon, nitrogen and mass from the Station M abyssal time series in the northeast Pacific, (1989-2022)
<p>Overview:</p> <p>This dataset provides particulate fluxes to Station M in the NE Pacific, from 1989 to 2022. Samples were collected with McLane Parflux sequencing sediment traps deployed on moorings. Data are provided for traps 50 m above bottom and 600 m above bottom, with deployment bottom depths ranging from approximately 3900 m to 4500 m. Gaps reflect lapses in funding, weather disruptions, clogs in sediment traps, or the occasional spilled sample. Where available, GPS coordinates and ship-recorded bottom depth at deployment location are given. Where these are not available, approximate location and depth are given and noted.</p> <p> </p> <p>Methods:</p> <p>This program used McLane Parflux sequencing sediment traps. Attempts to avoid sediment trap clogs, which increasingly became an issue, included replacing manufacture-supplied plastic funnels with Teflon-coated fiberglass funnels (October 2014), doubling the size of sediment trap collection cups (from 250 ML to 500 ML starting in October 2014), and adding a function that periodically agitated material in the funnel constriction (starting in June 2015).</p> <p>Before deployment, sediment trap cups were acid-washed and filled with a preservative (mercuric chloride from 1989 to 2009, 3%–5% buffered formalin from 2009 to 2022). Formalin brine recipe followed that recommended by McLane. Following sample recovery, zooplankton that many have swum into the traps were identified visually and manually removed (KLS). Samples were returned to the lab, freeze-dried, and weighed to calculate mass flux. The freeze-dried sample was analyzed for inorganic carbon content using a coulometer (UIC), and total carbon, hydrogen, and nitrogen using an elemental analyzer (Perkin-Elmer or Exeter Analytical, University of California Santa Barbara Marine Science Institute Analytical Laboratory). Dry mass was corrected for salt content using a AgNO<sub>3</sub> titration (<a href="https://www.sciencedirect.com/science/article/pii/S0967064519302395#bib99">Strickland and Parsons, 1972</a>). Data [mass flux, particulate organic carbon flux, and total nitrogen flux] from the 600 mab trap were used. Gaps in this data set were infilled using the linear relationship between data from the 600 mab and 50 mab traps. Full details of these methods can be found in Baldwin et al. (<a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022GL101018#grl65243-bib-0002">1998</a>).</p> <p>Data provided have been quality-controlled, and only usable data are included here.</p> <p> </p> <p>References:</p> <p>Baldwin, R. J., Glatts, R. C., & Smith Jr, K. L. (1998). Particulate matter fluxes into the benthic boundary layer at a long time-series station in the abyssal NE Pacific: composition and fluxes. Deep Sea Research Part II: Topical Studies in Oceanography, 45(4-5), 643-665.</p> <p>Strickland, J.D.H., Parsons, T.R. (1972) A Practical Handbook of Seawater Analysis. Fisheries Research Board of Canada, Ottawa </p> <p>Smith, K. L., Huffard, C. L., & Ruhl, H. A. (2020). Thirty-year time series study at a station in the abyssal NE Pacific: An introduction. <em>Deep Sea Research Part II: Topical Studies in Oceanography</em>, <em>173</em>, 104764.</p>
Рис. 6. Поперечные (А–Е, З, И) и продольный (Ж) среЗы череЗ органы пиЩеварительной системы моллюска: А – меШок кристаллического стебелька, Б, В – петли киШки, Г, Д – часть желудка с длинными складками на дорсальной части стенки, Е, З – петли киШки с тифлоЗолем, И – боковаЯ часть тифлоЗолЯ. МасШтабные линейки 300 мкм (Е, З, И), 200 мкм (А, В, Г, Д), 40 мкм (Б). мс – меШок кристаллического стебелька, Кс – кристаллический стебелек, Р – реснички, т – тифлоЗоль, lp – lamina propria, г – гемолимфа. Fig. 6. Transverse (А–Е, З, И) and saggital (Ж) sections of the digestive organs: А – crystalline style sac, Б, В – intestinal limbs, Г, Д – part of the stomach with long plicae on the dorsal wall, Е, З – intestinal limbs with typhlosole, И – lateral part of the typhlosole. Scale bars 300 µm (Е, З, И), 200 µm (А, В, Г, Д), 40 µm (B). мс – style sac, Кс – crystalline style, Р – cilia, т – typhlosole, lp – lamina propria, г – hemolymph. in Nodularia vladivostokensis (Bivalvia: Unionidae) from Razdolnaya River (Primorye, Russia)
Рис. 6. Поперечные (А–Е, З, И) и продольный (Ж) среЗы череЗ органы пиЩеварительной системы моллюска: А – меШок кристаллического стебелька, Б, В – петли киШки, Г, Д – часть желудка с длинными складками на дорсальной части стенки, Е, З – петли киШки с тифлоЗолем, И – боковаЯ часть тифлоЗолЯ. МасШтабные линейки 300 мкм (Е, З, И), 200 мкм (А, В, Г, Д), 40 мкм (Б). мс – меШок кристаллического стебелька, Кс – кристаллический стебелек, Р – реснички, т – тифлоЗоль, lp – lamina propria, г – гемолимфа. Fig. 6. Transverse (А–Е, З, И) and saggital (Ж) sections of the digestive organs: А – crystalline style sac, Б, В – intestinal limbs, Г, Д – part of the stomach with long plicae on the dorsal wall, Е, З – intestinal limbs with typhlosole, И – lateral part of the typhlosole. Scale bars 300 µm (Е, З, И), 200 µm (А, В, Г, Д), 40 µm (B). мс – style sac, Кс – crystalline style, Р – cilia, т – typhlosole, lp – lamina propria, г – hemolymph.
Code for manuscript "Organic ligands in whale excrement support iron availability and reduce copper toxicity to the surface ocean" by Monreal et al.
<p>.zip file containing GitHub repository titled "ligands-in-whale-excrement" (<a href="https://github.com/patrickmon38/ligands-in-whale-excrement/tree/main">https://github.com/patrickmon38/ligands-in-whale-excrement/tree/main</a>)<br><br><strong>README from GitHub: </strong></p> <div> <h3>Code used to generate figures for the manuscript "Organic ligands in whale excrement support iron availability and reduce copper toxicity to the surface ocean" by Monreal et al. are found in this repository.</h3> </div> <div> <p>In press at Communications Earth & Environment</p> <p> </p> </div> <p>Most data (all except .mzXML data) called in code is from Github_Data_For_Whale_Ligand_Manuscript.xlsx in this repository.</p> <p> </p> <p>Mass spec data from .mzXML files are has been depositied and is available for download in the Mass Spectrometry Interactive Virtual Environment (MassIVE). LC-ESI-MS (Orbitrap) and LC-FT-ICR-MS raw data can be accessed there under MSV000094994 (doi:10.25345/C50000B5D) and MSV000094995 (doi:10.25345/C5V98034P), respectively.</p> <p> </p> <p>html output from Rmarkdown file can be viewed directly at <a href="https://html-preview.github.io/?url=https://github.com/patrickmon38/ligands-in-whale-excrement/blob/main/Figures_for_GitHub_Whale_Excrement_Manuscript.html" rel="nofollow">https://html-preview.github.io/?url=https://github.com/patrickmon38/ligands-in-whale-excrement/blob/main/Figures_for_GitHub_Whale_Excrement_Manuscript.html</a>.</p> <p>If trying to run Rmarkdown on your own system, you will need to download the .xlsx and .mzXML files and change paths accordingly.</p> <p>Co-authors of this manuscript:</p> <h5>Patrick J. Monreal (University of Washington)</h5> <h5>Matthew S. Savoca (Stanford University)</h5> <h5>Lydia Babcock-Adams (National High Magnetic Field Laboratory)</h5> <h5>Laura E. Moore (University of Washington)</h5> <h5>Angel Ruacho (Univesrity of Washington)</h5> <h5>Dylan Hull (University of Washington)</h5> <h5>Logan J. Pallin (Unversity of California, Santa Cruz)</h5> <h5>Ross C. Nichols (Unversity of California, Santa Cruz)</h5> <h5>John Calambokidis (Cascadia Research Collective)</h5> <h5>Joseph A. Resing (Unviersity of Washington/CICOES/NOAA)</h5> <h5>Ari S. Friedlaender (Unversity of California, Santa Cruz)</h5> <h5>Jeremy Goldbogen (Stanford University)</h5> <h5>Randelle M. Bundy (University of Washington)</h5> <p> </p> <div> </div> <div><strong>If there are issues or questions with the code, author for contact is Patrick Monreal (<a href="mailto:pmonreal@uw.edu">pmonreal@uw.edu</a>).</strong></div>
Figure 1 in Why we should develop guidelines and quantitative standards for using genetic data to delimit subspecies for data-poor organisms like cetaceans
Figure 1. Depiction of the divergence of lineages with four times (T1–T4) chosen to illustrate different levels of biological organization. At T1 the yellow lineage is found across the distribution and although there are likely Demographically Independent Populations (DIPs) that differ in frequencies of the blue, yellow, and red lineages, there are no discontinuities. At T2 some lineages may be diagnosable but likely do not yet appear to be separate lineages. At T3 three groups (the blue/green, yellow, and orange/red lineages) meet the subspecies definition (they are diagnosable and appear to be diverging separately). The divergence level is not sufficient that reconvergence can be ruled out. Between T3 and T4, barriers to gene flow change such that the yellow lineage comes into contact with the blue/green and red-dominated lineages. Blue has diverged in a manner by which gene flow does not resume and the green/yellow lineage dies out. The yellow lineage reconverges and persists alongside the red lineage with a small level of gene flow (orange). At T4 the blue lineage is a species evolving separately from the yellow/red species. The yellow/red species has two subspecies that are both diagnosable and partially diverged.
ScienceDex guides
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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.