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1,498 results for “South Korea”
Dataset for "Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea"
<p>This repository contains the seismograms of the Korea Institute of Geoscience and Mineral Resources (KIGAM) and the Korea Institute of Nuclear Safety (KINS) used in Son et al. (2020). The uploaded waveforms were filtered according to the Supporting Information of Son et al. (2020). Continuous waveforms are available via the Korea Meteorological Administration (KMA; http://necis.kma.go.kr).</p> <p>Suggested citation: Son, M., Cho, C. S., Lee, H. K., Han, M., Shin, J. S., Kim, K., Kim, S. (2020). Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea. Journal of Geophysical Research: Solid Earth, e2020JB020005. <a href="https://doi.org/10.1029/2020JB020005">https://doi.org/10.1029/2020JB020005</a></p>
Attribution of 2022 August Heavy Precipitation Event in South Korea Using High-resolution Pseudo Global Warming Simulations: Sensitivity to Vertical Temperature Changes
<p>Post-processed CPM simulation datasets used for the paper "Attribution of 2022 August Heavy Precipitation Event in South Korea Using High-resolution Pseudo Global Warming Simulations: Sensitivity to Vertical Temperature Changes".</p>
Paddy Rice Mapping Learning Material(Sentinel-1 & labeling) in South Korea
<p>This dataset includes time series Sentinel-1 images and paddy rice labeling in South Korea for ML/DL model training. It consists of 7,762 training patches and 5,180 validation patches for each patch consists of 256 x 256 pixels. The dataset is saved in hdf5 format separated into training/valdation data, image/labeling, and part number which can be accessed by key: {tr/va}_{im/lb}_{0~4}.</p> <p>According to the phonological stage of paddy rice, the Sentinel-1 images were acquired through 8-time steps from May 10 to October 20 in 20 days’ interval. In order for the images to capture similar features of rice invariant to more or less difference of growth, minimum and maximum value composite were used at transplanting season and ripening season each. The acquisition year for each patch varies from 2017 to 2019 since it was matched to that of labeling source.</p> <p>The paddy rice labeling is a rasterized version of farm map produced by Korean Ministry of Agriculture, Food and Rural Affairs(MAFRA). The original source data was produced by visual interpreted by high-resolution satellite images and aerial photos referring the other national GIS data and it is accessible through the national open data platform (<a href="http://data.nsdi.go.kr/dataset/20210707ds00001">http://data.nsdi.go.kr/dataset/20210707ds00001</a>). As the data is distributed in a vector format, it was converted to 10 m x 10 m raster format which is compatible to the Sentinel-1, and used for labeling the images.</p>
National Checklists 2017: South Korea Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from South Korea collected using effechecka and geonames polygons
National Checklists 2019: South Korea Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from South Korea collected using effechecka and geonames polygons
Figure 9 in Nonmarine Ostracoda (Crustacea) from Jeju Island, South Korea, including descriptions of two new species
Figure 9. (A, B) Strandesia flavescens: (A) internal view of female left valve (DB40044); (B) internal view of female right valve (DB40044). (C) Tanycypris alfonsi: internal view of female left valve, specimen figured in Okubo (2004) (Tany 30). (D) Stenocypris hirutai: internal view of female right valve (DB40048).
Fig. 6 in Morphology and Molecular Phylogeny of Pseudouroleptus jejuensis nov. spec., a New Soil Ciliate (Ciliophora, Spirotrichea) from South Korea
Fig. 6. Small subunit rRNA gene phylogeny of 31 oxytrichids based on 3 methods (NJ – Neighbor Joining; ML – Maximum Likelihood; BI – Bayesian Inference). Bootstrap values of the NJ and the ML are shown at each node with posterior probabilities of the BI; a dash denotes a value of below 0.50 (BI) or 50% (NJ and ML). Pseudouroleptus jejuensis is denoted in bold.
Figs 5A–D in Morphology and Molecular Phylogeny of Pseudouroleptus jejuensis nov. spec., a New Soil Ciliate (Ciliophora, Spirotrichea) from South Korea
Figs 5A–D. Pseudouroleptus jejuensis, late (A, B) and post-dividers (C, D) after protargol impregnation. Note that the parental dorsal bristles are shown by single dots although they are still composed of dikinetids. A, B – dorsal (A) and ventral (B) views of late divider showing caudal cirri (arrows) and posteriorly migrating postperistomial cirrus (arrowheads). Note that the caudal cirri are not developed from dorsal kinety anlage 3. C, D – dorsal (C) and ventral (D) views of post-dividers. The two post-dividers were fixed from a single dividing cell im- mediately after the complete cell division. Some of parental dorsal bristles and cirri are still observed, and postperistomial (arrowheads) and caudal cirri (arrows) migrate forward to their final position. 3–5 – dorsal kineties 3–5. Scale bars: 150 μm.
Figs 4A–D in Morphology and Molecular Phylogeny of Pseudouroleptus jejuensis nov. spec., a New Soil Ciliate (Ciliophora, Spirotrichea) from South Korea
Figs 4A–D. Pseudouroleptus jejuensis, middle (A, B) and late divider (C, D) after protargol impregnation. Note that the parental dorsal bristles are shown by single dots although still composed of dikinetids. The parental dorsal dikinetids become smaller and are less impregnated than newly developed one. A, B – dorsal (A) and ventral (B) views of middle divider showing dorsal kineties and cirral anlagen. C, D – dorsal (C) and ventral (D) views of late divider showing dorsal kinety 3 fragmentation (double arrowheads). Note that caudal cirri are developed at posterior end of kineties 1, 2 only (arrows). Postperistomial cirrus (arrowheads) is originated from the anlage IV and split from anterior part of the anlage. IV–VI – cirral anlagen IV–VI. Scale bars: 150 μm.
Figs 1A–F in Morphology and Molecular Phylogeny of Pseudouroleptus jejuensis nov. spec., a New Soil Ciliate (Ciliophora, Spirotrichea) from South Korea
Figs 1A–F. Pseudouroleptus jejuensis from life (A–D) and after protargol impregnation (E, F). A – ventral view of a representative specimen, arrow indicates contractile vacuole; B, C – arrangement of cortical granules on dorsal side (B) and optical section (C); D – ventral view of a specimen gliding for feed, showing a slightly curved body shape; E, F – dorsal (E) and ventral views (F) of the holotype specimen. Arrow in F denotes postperistomial ventral cirrus. AZM – adoral zone of membranelles, BC – buccal cirrus, CC – caudal cirri, 1–5 – dorsal kineties 1–5, EM – endoral membrane, G – cortical granules, LFVR – left frontoventral row, LMR – left marginal row, PM – paroral membrane, RFVR – right frontoventral row, RMR – right marginal row. Scale bars: 100 μm.
Figs 3A–J in Morphology and Molecular Phylogeny of Pseudouroleptus jejuensis nov. spec., a New Soil Ciliate (Ciliophora, Spirotrichea) from South Korea
Figs 3A–J. Pseudouroleptus jejuensis during interphase (A–D, G–I) and ontogenesis (E, F, J) after protargol impregnation. A–C – dorsal view (A) and ventral views (B, C), arrow indicates postperistomial cirrus; D – dorsal view showing basal bodies (asterisks) in dorsal kinety 4; E, F – dorsal views of late dividers, asterisks denote dorsal kinety 4 developed by multiple fragmentation of dorsal kinety anlage (DKA) 3; G, H, J – dorsal views showing caudal cirri developed from DKA 1, 2 while DKA 3 does not participate in the formation of these caudal cirri during ontogenesis; I – ventral view showing macronuclear nodules and micronuclei. CC – caudal cirri, MA – macronuclear nodules, MI – micronuclei. Scale bars: 100 μm.
Figs 1–7. Janssoniella kawabatai Tselikh, 2020 in New data on the chalcid wasps of the family Pteromalidae (Hymenoptera: Chalcidoidea) from South Korea
Figs 1–7. Janssoniella kawabatai Tselikh, 2020, male: 1 – body, lateral view; 2 – mesosoma and petiole, dorsal view; 3 – wing; 4 – head, frontal view; 5 – head, dorsal view; 6 – body, dorsal view; 7 – antenna.
Figs 8–14 in New data on the chalcid wasps of the family Pteromalidae (Hymenoptera: Chalcidoidea) from South Korea
Figs 8–14. Miscogasteriella vladimiri Tselikh, Lee et Ku, 2023, male: 8 – body, lateral view; 9 – mesosoma and petiole, dorsal view; 10 – wing; 11– head, frontal view; 12 – antenna; 13 – head, dorsal view; 14 – body, dorsal view.
KF-metaweb: A trophic metaweb of freshwater ecosystems of South Korea (Version 1.0)
<p><strong>Motivation:</strong> The metaweb is a dictionary of nodes and their potential interactions developed for a particular region, focusing on a particular type of ecosystem. Based on the local biodiversity information at different spatial and temporal scales, the regional metaweb can be easily decomposed into local webs. The generated local webs are useful for understanding spatiotemporal variations in ecological interactions in a particular region. In this study, an attempt was made to develop a trophic metaweb for freshwater ecosystems in South Korea, called the KF-metaweb. The metaweb contains 23074 interactions between 446 taxa collected from 730 studies. This metaweb can be used to understand the spatiotemporal variability of different local food webs and the effects of the environment on food web properties. Furthermore, this is the first metaweb developed for any Asian ecosystem that contains information about many interactions that are unavailable in any other existing database. In addition, this metaweb study enriches our global understanding of ecological interactions.</p> <p><strong>Main types of variables contained: </strong>The data contained trophic interactions between resources (prey) and consumers (predators).</p> <p><strong>Spatial location and grain:</strong> The mainland of South Korea and Jeju Island.</p> <p><strong>Time period and grain:</strong> 2008–2021</p> <p><strong>Major taxa: </strong>Microalgae (belonging to the phyla Cyanobacteria, Bygra, Cryophyta, Myozoa, Ochrophyta, Charophyta, Chlorophyta, Euglenozoa, and Mycetozoa), zooplankton (belonging to the phyla Arthropoda and Rotifera), benthic macroinvertebrates (Platyhelmenthes, Annelida, Arthropoda, and Mollusca), and fish.</p> <p><strong>Level of measurement:</strong> Minimum taxonomic resolution was at the genus level for fish and benthic macroinvertebrates and order level for zooplankton and microalgae.</p>
National Checklists: South Korea Species List
Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>
Figures 1–6 in Occurrence of an exotic whitefly, Siphoninus phillyreae (Haliday) (Hemiptera: Aleyrodidae) in South Korea and its potential pathway analysis
Figures 1–6. Ash whitefly (Siphoninus phillyreae (Haliday)) and regional map of South Korea. 1–2) Several life stages of the ash whitefly on the underside of leaves of a pomegranate tree (GN: Jinju, 3-viii-2021 (S.J. Suh)). 3) Puparium (slide-mounted). 4) Siphons on marginal and submarginal areas of dorsum. 5) Vasiform orifice. 6) Distribution map of ash whitefly in South Korea.
covid-19 news stories China, South Korea and the U.S.
<p>This dataset is news stories on the COVID-19 pandemic published by national news agencies in China, Korea, and the U.S. The news stories were collected on<em> Factiva</em> by keyword searching, published within a one-month time frame after a national break in each country. </p>
Dasineura oxycoccana, the blueberry gall midge distribution, and cultivation areas of blueberry in South Korea
<p>Distribution data of Dasineura oxycoccana for species distribution modeling and cultivation areas of blueberry in South Korea</p> <p> </p>
Fig. 3 in First Deep-Sea Shark Fossil Teeth From The Miocene Of South Korea
Fig. 3. Tooth of Dalatias cf. D. licha, CNUNHM-F392: A — photograph of the specimen; B — enlarged photograph of the labial surface of the tooth. Left scale bar, for A, equals 10 mm. Right scale bar, for B, equals 5 mm.
Fig. 2 in First Deep-Sea Shark Fossil Teeth From The Miocene Of South Korea
Fig. 2. Tooth of Dalatias licha, CNUNHM-F279: A — photograph of the specimen; B — enlarged photograph of the labial surface of the tooth. Left scale bar, for A, equals 10 mm. Right scale bar, for B, equals 5 mm.
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.