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2,474 results for “Northeast”
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>
Response of Vegetation Canopy Growth to Climate Change in Northeast China
<p>Our study uniquely addresses gaps in existing research by investigating how vegetation canopy changes during various growth phases—development (April-June), maturation (July-August), and senescence (September-October)—and how these changes respond to preseason climatic factors. We highlight significant findings, such as the early advancement of the canopy maturation phase and the delayed senescence, particularly in forested areas. Moreover, we demonstrate that preseason air temperature exerts a considerable influence on canopy growth, with a transition from positive to negative correlations across different phases and vegetation types.The results contribute to understanding vegetation dynamics under climate change and provide actionable insights for sustainable agricultural, forestry, and animal husbandry management.</p>
NortheastChinaSoybeanYield20m: an annual soybean yield dataset at 20 m in Northeast China from 2019 to 2023
<p>Accurate monitoring of crop yield is important for ensuring food security. Current yield estimation methods, such as machine learning models or the assimilation of remotely sensed biophysical variables into crop growth models, depend heavily on ground observations and involve significant computational costs. To solve these problems, a hybrid framework coupling the World Food Studies Simulation Model (WOFOST) and the Gated Recurrent Unit model (GRU) was proposed for soybean yield estimation in Northeast China from 2019 to 2023.</p> <p>This dataset provides 20 m annual soybena yield in Northeast China from 2019 to 2023.</p> <p>*** The data file is in “.tif" format</p> <p>*** Temporal Resolution: annually</p> <p>*** Temporal coverage: 2019-2023</p> <p>*** Pixel size: 20 m</p> <p>*** Projection information: EPSG: 4326</p>
Fig. 1 in Studies in Malagasy Eugenia L. (Myrtaceae) - V: Eugenia quadriphylla N. Snow & Callm., an unusual and rare new species from the northeast
Fig. 1. – Distribution map of Eugenia quadriphylla N. Snow & Callm. (black circle) plotted on a map of forest cover in 2000 (grey) following HARPER et al. (2007).
Probabilistic linear inversion of satellite gravity gradient data applied to the northeast Atlantic
<p>% MATLAB scripts to calculate and plot figures as in manuscript by<br> %<br> % Minakov, A., & Gaina, C. (2021).<br> % Probabilistic linear inversion of satellite gravity gradient data applied<br> % to the northeast Atlantic. Journal of Geophysical Research: Solid Earth,<br> % 126, e2021JB021854. https://doi.org/10.1029/2021JB021854<br> % <br> % Last modified by alexamin@uio.no, 26/11/2021<br> %<br> % version v1.1<br> % </p> <p>% Contents of arhcive<br> % /data contains requiried and generated datasets <br> % /fig folder for output figures <br> % /plot scripts to produce figures <br> % /tools additional matlab tools and routines</p> <p>% Dataset in ..data/GOCE_NEATLANTIC is structure containing the full model<br> % <br> % Cm: [6670×6670 double] posterior model covariance matrix<br> % m: [29×23×10 double] mean denstity perturbation model<br> % Cd: [667×667 double] data covariance matrix<br> % d: [29×23 double] data vector (Trr)<br> % r: [1×10 double] distance<br> % lat: [29×1 double] latitute<br> % lon: [23×1 double] longitude<br> %<br> % Run /plot/fig_results.m to produce all figures <br> %<br> % Some scripts require GMT (Wessel et al. 2019) and SHBUNDLE (Sneeuw et al. 2018) software to be installed</p> <p>% and corresponding folders must be added to the matlab search path.</p> <p>% Also ScientificColorMaps7 by F. Crameri (2021) maybe required and have been included in the archive.</p>
Fig. 12 in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 12. Comparison of the relationships between relative length of hepatic lobe (Hpl/PoL) against postrostral carapace length (PCL) among P. quadridens (De Haan, 1837), P. ferox Ohtsuchi and Kawamura, 2019, and P. longipes n. sp. (modified after Ohtsuchi and Kawamura 2019: fig. 39).
Fig. 8. First ambulatory legs. A–C, Pugettia longipes n in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 8. First ambulatory legs. A–C, Pugettia longipes n. sp., holotype, full-grown male (MBM 188862), 17.3×13.0 mm, Shandong, North China; D, P. ferox Ohtsuchi and Kawamura, 2019, holotype, full-grown male (NSMT-Cr 26069), 40.0×32.1 mm, Otsuchi Bay, Japan; E, P. quadridens (De Haan, 1837), full-grown male (NSMT-Cr 26059), 27.3×22.4 mm, Miura Peninsula, Japan. A, D, E, right first ambulatory legs (P2), general appearance (upper surface); B, carpus (extensor surface); C, right second ambulatory leg (P3), general appearance (upper surface).
Fig. 6. Pugettia longipes n in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 6. Pugettia longipes n. sp. holotype, male (MBM 188862), 17.3×13.0 mm, Shandong, Northeast China. A–C, carpus of right cheliped, dorsal (A), extensor (B), and ventral (C) views, respectively; D–G, merus of right cheliped, inner (D), dorsal (E), outer (F), and ventral (G) views, respectively.
Fig. 5. Pugettia longipes n in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 5. Pugettia longipes n. sp. A, thoracic sternites 1–4; B, male pleon and sternites; C, female sterno-pleonal cavity; D, E, female gonopore (left) in allotype (D) and paratype (E); F, third maxilliped (left). A, B, paratype, full-grown male (MBM 188864), 12.9×9.3 mm; C, D, allotype, full-grown female (MBM 188863), 15.1×10.7 mm; E, paratype, full-grown female (MBM 188866), 18.3×13.7 mm; F, holotype, fullgrown male (MBM 188862), 17.3×13.0 mm.
Fig. 11. Pugettia longipes n in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 11. Pugettia longipes n. sp. allotype, female (MBM 188862), 15.1×10.7 mm, Shandong, North China. A, ventral view; B, dorsal view.
Fig. 1. Pugettia longipes n in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 1. Pugettia longipes n. sp. holotype male (MBM 188862), 17.3×13.0 mm, Shandong, Northeast China. A, ventral view; B, dorsal view.
Fig. 7 in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 7. Left chela in outer view. A–C, Pugettia longipes n. sp.: A, holotype, full-grown male (MBM 188862), 17.3×13.0 mm, Shandong, North China; B, paratype, adolescent male (MBM 188864), 14.1×10.2 mm, same locality; C, allotype, full-grown female (MBM 188863), 15.1×10.7 mm, same locality; D–F, P. ferox Ohtsuchi and Kawamura, 2019: D, holotype, full-grown male (NSMT-Cr 26069), 40.0×32.1 mm, Otsuchi Bay, Japan; E, adolescent male (RUMF-ZC 4981), 31.5×25.8 mm, Akkeshi Bay, Hokkaido; F, allotype, full-grown female (NSMT- Cr 26070), 27.9×22.6 mm, Otsuchi Bay; G–I, P. quadridens (De Haan, 1837): G, full-grown male (NSMT-Cr 26062), 27.4×23.3 mm, Miura Peninsula; H, adolescent male (NSMT-Cr 26064), 18.5×14.2 mm, Boso Peninsula; I, full-grown female (NSMT-Cr 26060), 21.8×18.2 mm, Miura Peninsula.
Fig. 10. Pugettia longipes n in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 10. Pugettia longipes n. sp., individual variations. A, adolescent male (MBM 188867), 13.6×9.3 mm; B, paratype, adolescent male (MBM 188864), 14.1×10.2 mm; C, paratype, full-grown male (MBM 188864), 13.9×10.2 mm, right P5 regenerating; D, paratype, full-grown female (MBM 188866), 13.8×10.3 mm, right first ambulatory leg (P2) regenerating. All the specimens are collected from Shandong, North China.
Fig. 13 in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 13. Proportional length of the cheliped (P1) and ambulatory legs (P2–5) meri in Pugettia longipes n. sp., P. ferox Ohtsuchi and Kawamura, 2019, and P. quadridens (De Haan, 1837). A, fullgrown males; B, adolescent males; C, full-grown females. Bars with different letters are significantly different (Tukey HSD test, otherwise Steel-Dwass test, p<0.01) from each other. See Table 1 for sample numbers. In some groups marked with an asterisk, the significance of differences among the three species were not tested statistically due to small sample number (n<3) of P. longipes n. sp.
Fig. 3 in A New Kelp Crab Species of the Genus Pugettia (Crustacea: Decapoda: Brachyura: Epialtidae) from Shandong Peninsula, Northeast China
Fig. 3. Comparison of frontal view of carapace. A, Pugettia longipes n. sp., holotype, male (MBM 188862), 17.3×13.0 mm, Shandong, Northeast China; B, P. ferox Ohtsuchi and Kawamura, 2019, paratype, male (NSMT-Cr 26071), 30.7×26.3 mm, Akkeshi, Hokkaido; C, P. quadridens (De Haan, 1837), male (NSMT-Cr 26059), 27.3×22.4 mm, Miura Peninsula, Sagami Bay.
Fig. 7 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 7. Microhabitats showing the collection sites of our newly described species of Cyrtodactylus from Northeast India. A. Collection site of Cyrtodactylus exercitus sp. nov. in Umroi military cantonment area, Ri-Bhoi district, Meghalaya state. B–D. Collection sites of C. siahaensis sp. nov. in Siaha town, Siaha district, Mizoram state.
Fig. 3 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 3. Cyrtodactylus exercitus sp. nov. in life (A. MZMU2542. B. MZMU2543. C. MZMU2545); Cyrtodactylus siahaensis sp. nov. in life (D. MZMU2443.E. MZMU2444.F. MZMU2445.G. MZMU2446. H. MZMU2449. I. uncollected).
Fig. 8 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 8. Cyrtodactylus siahaensis sp. nov., holotype (MZMU2445). A. Dorsal view. B. Ventral view. C. Details of dorsal pholidosis. D. Dorsal view of head. E. Lateral view of head. F. Ventral view of head.
Fig. 4 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 4. Cyrtodactylus exercitus sp. nov., holotype (MZMU2542). A. Dorsal view. B.Ventral view. C. Details of dorsal pholidosis. D. Dorsal view of head. E. Lateral view of head. F. Ventral view of head.
Fig. 5 in Two new Cyrtodactylus (Squamata, Gekkonidae) from Northeast India
Fig. 5. The arrangement of precloacal pores in A. Cyrtodactylus exercitus sp. nov., holotype (MZMU2542) B. Cyrtodactylus siahaensis sp. nov (MZMU2445).
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.