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10,699 results for “easting”
Reoxygenation in the East China Sea
<p>Hypoxia and upwelling co-occurred in the summer, and the well-mixed water often reaches the subsurface in the East China Sea (ECS), especially off the Changjiang River estuary. The impact of upwelling on the hypoxia and, therefore, on the ECS ecosystem is not well evaluated. This study demonstrates several positive and negative effects of upwelling on hypoxia and its impact on the ecosystem. This dataset contains data collected from four cruises in the summer of 2003 (June 18–26 and August 13–23) and 2014 (July 16–29 and August 20–31) on the R/V Ocean Researcher I and V in the East China Sea described in the paper: "Chung-Chi Chen, Dong S. Ko, Gwo-Ching Gong, Chun-Chi Lien, Wen-Chen Chou, Hung-Jen Lee, Fuh-Kwo Shiah, Yu-Sin Wita Huang (2022). Reoxygenation of the hypoxia in the East China Sea: A ventilation opening for marine life. <i>Frontiers in Marine Science</i> ". The presented variables include: temperature, salinity, dissolved oxygen, dissolved inorganic nutrients (nitrate and phosphate), and Chl <i>a </i>in this study.</p> <p>Main results of this study included nine figures and two tables as described in the paper, and please refer it for further details.</p>
Simulated cycles of East Asian temperature and precipitation over the past 425 ka
<p>These files contain the model outputs from NorESM-L and CESM that are used to analyse and draw the main parts of Figures in our paper entitled "Simulated cycles of East Asian temperature and precipitation over past 425 ka".</p>
Data from: Identification of selection signals on the X-chromosome in East Adriatic sheep: a new complementary approach
<p>Sheep are one of the most important livestock species in Croatia, found mainly in the Mediterranean coastal and mountainous regions along the East Adriatic coast, well adapted to the environment and mostly kept extensively. Our main objective was therefore to map the positive selection of the X-chromosome (18,983 SNPs that passed quality control), since nothing is known about the adaptation genes on this chromosome for any of the breeds from the Balkan cluster. Analyses were performed on a sample of eight native Croatian breeds (101 females and 100 males) representing the East Adriatic metapopulation and on 10 mouflons (five females and males), all sampled in Croatia. Three classical within-population approaches (extreme Runs of Homozygosity islands, integration Haplotype Scores, and number of Segregating Sites by Length) were applied along with our new approach called Haplotype Richness Drop (HRiD), which uses only the information contained in male haplotypes. We have also shown that phylogenetic analyses, such as the Median-joining network, can provide additional information when performed with the selection signals identified by HRiD. Our new approach identifies positive selection signals by searching for genomic regions that exhibit a sudden decline in haplotype richness. In total, we identified 14 positive selection signals, 11 using the classical approach and three using the HRiD approach, all together containing 34 annotated genes. High repeatability (86%) of results was observed, as 12 identified selection signals were also confirmed in other studies with sheep. HRiD offers an interesting possibility to be used complementary to other approaches or when only males are genotyped, which is often the case in genomic breeding value estimations. These results highlight the importance of the X-chromosome in the adaptive architecture of domestic ruminants, while our novel HRiD approach opens new possibilities for research.</p>
T a b l e 1 in Citizen Science Assisted Monitoring Provides New Data Concerning the Distribution of the Bulgarian Bent-toed Gecko, Mediodactylus danilewskii (Gekkonidae, Squamata), in North-East Bulgaria
T a b l e 1. Coordinates of the newly recorded specimens of M. danilewskii in North East Bulgaria
Fig. 2 in Citizen Science Assisted Monitoring Provides New Data Concerning the Distribution of the Bulgarian Bent-toed Gecko, Mediodactylus danilewskii (Gekkonidae, Squamata), in North-East Bulgaria
Fig. 2. Schematic map of the confirmed and new sites of
Fig. 2. Adults M in On The Biology Of The East Asian Seed Beetle, Megabruchidius Dorsalis (Coleoptera, Chrysomelidae, Bruchinae), An Adventive Species For Ukraine
Fig. 2. Adults M. dorsalis on hawthorn flowers. May 7 (Photo by M. A. Filatov).
Fig. 4 in On The Biology Of The East Asian Seed Beetle, Megabruchidius Dorsalis (Coleoptera, Chrysomelidae, Bruchinae), An Adventive Species For Ukraine
Fig. 4. Dependence of M. dorsalis development time on air temperature.
Fig. 3 in On The Biology Of The East Asian Seed Beetle, Megabruchidius Dorsalis (Coleoptera, Chrysomelidae, Bruchinae), An Adventive Species For Ukraine
Fig. 3. Accumulated emerging of East Asian seed beetle in the laboratory. July and August 2019.
Dental microwear and mesowear raw data for European and East Asian Late Pleistocene hyenas Crocuta spelaea and C. ultima ussurica
<p>Raw microwear data related to the paper "<strong>Comparison of paleodiet and niches of European and East Asian Late Pleistocene hyenas <em>Crocuta spelaea</em> and <em>C. ultima ussurica</em> based on the study of tooth microwear</strong>"</p>
Latitudinal cline in the foraging dichotomy of loggerhead sea turtles reveals the importance of East China Sea for priority conservation
<p><strong>Aim:</strong> Quantifying the importance of habitat areas for conservation of highly migratory marine species with complex life histories can be challenging. For example, loggerhead turtles (Caretta caretta) nesting in Japan forage both oceanically and neritically after their reproductive period. Here, we aimed to quantify the proportions of turtles using these two contrasting habitats (foraging dichotomy) to suggest priority conservation areas.</p> <p><strong>Methods:</strong> We examined the occurrence of foraging dichotomy at three nesting sites (Ishigaki, Okinoerabu Islands, and Ichinomiya) based on stable isotope analysis of the egg yolks for 82 turtles and satellite tracking of post-nesting migration for 12 turtles. Moreover, we used the data of three other sites from previous studies (Yakushima Island, Minabe, and Omaezaki).</p> <p><strong>Results:</strong> Two neritic foraging grounds (East China Sea and the coastal area of the Japanese archipelago), and an oceanic ground (North Pacific Ocean) were identified. We found a latitudinal cline with respect to the occurrence of foraging dichotomy; >84% of the females nesting at southern sites (Ishigaki and Okinoerabu Islands), 73% at middle sites (Yakushima Island and Minabe), and <46% at northern sites (Omaezaki and Ichinomiya) were neritic foragers; the proportion of oceanic foragers increased at northern sites. Based on the annual number of nests in the entire nesting region of Japan, satellite tracking, and the latitudinal cline of foraging dichotomy, we estimated that 70% and 9% of annual nesting females in Japan utilise the neritic foraging habitat in the East China Sea and the coastal area of the Japanese archipelago, respectively and that and 22% utilise the oceanic habitat of the North Pacific Ocean.</p> <p><strong>Main conclusions:</strong> The East China Sea represents a critical foraging habitat for the North Pacific populations of endangered loggerhead sea turtles. Our findings emphasise the need for international management to ensure their protection.</p>
The oxygen isotope of phosphate in the East China Sea in 2020
<p>For the analysis of the main sources of phosphate in the ESC during summer, we choose the area between 120.93 ˚ E-125.9 ˚ E and 26.08˚ N-32.35 ˚ N as research sites . The samples were all from the voyage of the research ship (Xiangyanghong 18). Surface seawater was collected at 49 stations for δ<sup>18</sup>O<sub>p</sub> analysis by a conductivity-temperature-depth profiler. Then we utilized δ<sup>18</sup>O<sub>p</sub> to trace the source of phosphate in the ESC. </p> <p>The δ<sup>18</sup>O<sub>p</sub> values in seawater are affected by water masses with different phosphate concentrations.We need the two-component mixing model for the analysis of water masses that control phosphate.In this research, atmospheric deposition and adjacent sea transportation were used as terrestrial and seawater end-members respectively to construct the δ<sup>18</sup>O<sub>p</sub> end-member mixing model.</p> <p>In order to quantify the source of phosphate in the sea, a Bayesian isotope mixing model run in the R software package (Stable Isotope Analysis in R, SIAR) was selected for analysis.</p>
SeaTemCon_R code for "The Holocene temperature conundrum answered by mollusk records from East Asia"
<p>This repository includes the code that can be used to calculate the contribution percentages of seasonal temperatures to the annual temperature for the paper entitled "The Holocene temperature conundrum answered by the mollusk records from East Asia".</p>
Replication materials for "Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models"
<p>The datasets are replication materials for the research "Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models". They show urbanization-induced changes in surface air temperature (SAT), precipitation, and 850hPa atmospheric circulation from two global climate models (NCAR CESM1.2.1 and FGOALS-g3).</p>
Dataset of landslide susceptibility in north-east India
<p>Dataset of input data and results of the landslide susceptibility assessment in north-east India presented in the article titled: Mapping susceptibility with open-source tools: a new plugin for QGIS.</p>
GRASS GIS Location for South-East US urban growth case study
<p>GRASS GIS Location containing data prepared for a FUTURES urban growth modeling case study for the South East United States (NC, SC, TN, GA, AL, FL). Contains NLCD 2001-2019 (land cover for all years; 2001 and 2019 impervious descriptor), county boundaries, USGS DEM, PAD-US protected areas.</p>
South-East US historical and projected population per county for FUTURES urban growth modeling in GRASS GIS
<p>South East US historical (2001-2019) and projected (2020-2100) population per county for 6 states (NC, SC, TN, GA, AL, FL). Historical data come from The National Vital Statistics System (https://seer.cancer.gov/popdata/download.html) and future data are projected by Hauer 2019 (https://doi.org/10.1038/sdata.2019.5) for SSP2 scenario. Data are formatted for r.futures.demand module, which is a GRASS GIS addon for computing future land demand for FUTURES urban growth model. </p>
The Involvement of ALPK3 in Hypertrophic Cardiomyopathy in East Asia
<p>793case_ALPK3_AC.count (Variants in ALPK3 in the discovery cohort)</p> <p>419case_ALPK3_AC.count (Variants in ALPK3 in the validation cohort)</p> <p> </p> <p>CHROM: chromosome</p> <p>POS: genetic position</p> <p>N_CHR: total number of alleles in samples</p> <p>{ALLELE:COUNT}: allele count for corresponding allele in samples</p>
Impact of mountains in Southern China on the Eocene climates of East Asia
<p>These files contain the model outputs from Noresm1-F that are used to draw the main parts of Figures in our paper entitled "Impact of mountains in Southern China on the Eocene climates of East Asia".</p>
Location of the Liang Abu and Kimanis sites in East Borneo, Indonesia
<p>Location of the Liang Abu and Kimanis sites. The 100 m and 40 m isobaths are represented, indicating coastlines respectively at ca 15,000 BP and ca 11,000 BP.</p> <p><strong>Map:</strong></p> <ul> <li><strong>Software</strong>: QGIS 3.18.3</li> <li><strong>Projection</strong>: EPSG 4238.</li> </ul> <p><strong>Sources:</strong></p> <ul> <li><strong>Digital elevation model</strong>: SRTM v. 4.1</li> <li><strong>Bathymetry and isobaths</strong>: GEBCO 2020 Grid</li> </ul>
Location of the Liang Abu site in East Borneo
<p>Location of the Liang Abu archaeological site in the Mangkalihat karstic area, East Borneo.</p> <p><strong>Map:</strong></p> <ul> <li><strong>Software</strong>: QGIS 3.20</li> <li><strong>Projection</strong>: EPSG 4238.</li> </ul> <p><strong>Sources:</strong></p> <ul> <li><strong>Digital elevation model</strong>: SRTM GL1, v. 003;</li> <li><strong>Shoreline</strong>: Natural Earth coastline 10 m, v.4.1.0.</li> </ul>
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.