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12,237
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12,237 results for “2019”
Svalbox-DOM_2019-0014_Høgsnyta
<p><strong>Model description: </strong><br> Digital outcrop model of southward facing side on Høgsnyta, in Nordenskiöld Land, Svalbard archipelago.<br> <br> <strong>Data availability:</strong><br> All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.6.1.10009).<br> Exported model data use CRS epsg:32633.<br> <br> <strong>Show and visualise on <a href="http://svalbox.no/?page_id=3765">Svalbox.no</a>:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.</p>
Lake area and volume variation data in the endorheic basin of the Tibetan Plateau from 1989 to 2019
<p>The Tibetan Plateau, known as the third pole of the Earth, is a region susceptible to climate change. With little human disturbance, lake storage changes serve as a unique indicator of climate change, but comprehensive lake area and volume data are rare in the region, especially for the lakes with an area less than 10 km<sup>2</sup> which are the most sensitive to environmental changes. In this dataset, we completed a census of annual lake area and volume change for 976 lakes larger than 1 km<sup>2</sup> in the endorheic basin of the Tibetan Plateau (EBTP) during 1989-2019 using Landsat imagery and digital terrain models. This dataset contains the lake extents shapefile containing the annual area and relative volume data from 1989 to 2019 for each lake. Besides, the lake seeds we used to calculate the relative lake volume are also published. <br> </p>
Sentinel-3 SLSTR and MODIS satellite images of Raikoke 2019 and Eyjafjallajökull 2010 eruptions
<p>Dataset used for the study presented in the paper "Volcanic cloud detection using Sentinel-3 satellite data by means of neural networks: the Raikoke 2019 eruption test case" (Petracca, I., De Santis, D., Picchiani, M., Corradini, S., Guerrieri, L., Prata, F., Merucci, L., Stelitano, D., Del Frate, F., Salvucci, G., and Schiavon, G.: Volcanic cloud detection using Sentinel-3 satellite data by means of neural networks: the Raikoke 2019 eruption test case, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2022-173, in review, 2022.).<br> </p> <p> </p>
Global daily high spatial resolution XCO2 product during 2019-2021
<p>Validation results are in preparation. The full dataset will be uploaded after the acceptance of our paper.</p>
Fig. 33. Meranoplus mosalahi Sharaf, 2019 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 33. Meranoplus mosalahi Sharaf, 2019, paratype, worker (CASENT0922861,AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.
BeerDEcoded Nanopore Sequencing Run of Chimay Now. 2019 Flongle
<p>The BeerDEcoded workshops are a project of the Street Science Community. https://streetscience.community/projects/beerdecoded/<br> We are extracting DNA from different Beers and sequence them using the Nanopore sequencing technique. The data contains the reads extracted from the beer of the brand Chimay and was performed on 26.11.2019. <br> The Sequencing was performed on a MinION using a flongle Flow Cell and the MinKNOW software. The Software collects sequencing data in real-time and has a base-calling integrated to convert the fast5 files into fastq files.</p>
Svalbox-DOM_2019-0001
<p><strong>Model description: </strong><br> Low resolution overview model of Fortet and adjacent Petuniabukta/Adolfbukta Mountain face. The Petuniabukta mountain side is capped by Wordiekammen Black Crag beds which are locally intersected by solution collapse breccia pipes.Underlying the Black Crag beds is the Minkinfjellet Formation which is mostly scree covered but comprises the Fortet Member at the Fortet locality. The Fortet member is a sollution collapse breccia within the Minkinfjellet Formation and is the result of extensive gypsum dissolution and subsequent collapse of the overburden. The Adolfbukta mountain face displays gypsum, carbonate and sandstone beds of the Minkinfjellet Formation.<br> <br> <strong>Data availability:</strong><br> All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.1.11797).<br> Exported model data use CRS epsg:32633.<br> <br> <strong>Show and visualise on <a href="http://svalbox.no/?page_id=3470">Svalbox.no</a>:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.</p>
Supporting Dataset for Fault Friction Derived from Fault Bend Influence on Coseismic Slip During the 2019 Ridgecrest Mw 7.1 Mainshock
<p>Supporting Dataset for Fault Friction Derived from Fault Bend Influence on Coseismic Slip During the 2019 Ridgecrest M<sub>w</sub> 7.1 Mainshock, JGR</p> <p>See Readme text files for details. </p>
Text-fig. 2. Dichotomising terminal shoots of Lepidodendron ophiurus BRONGN. from Brymbo (bed C4). No 2013.43G.147 (National Museum of Wales) (from Thomas et al. 2019). in Why Lycospora Dominated Many Pennsylvanian Spore Assemblages
Text-fig. 2. Dichotomising terminal shoots of Lepidodendron ophiurus BRONGN. from Brymbo (bed C4). No 2013.43G.147 (National Museum of Wales) (from Thomas et al. 2019).
Text-fig. 3. CT slices on Block 3. Invertebrate moulds (a, c) and remains of their hard skeletons (a, b). Large areas of limestone matrix hold either only a few scattered invertebrates or no fossil at all (b, c). Ring artefacts seen close to the isocentre of the scan (b, c) are a well-known phenomenon caused by the X-ray beams traversing the block at an insufficient radiation dose (as expected in such a large block of dense material), and are not part of any physical structure present therein (Triche et al. 2019). in Hidden Treasures Uncovered: Successful Detection Of Fossils Below The Surface In Large Limestone Blocks Using A Standard Medical X-Ray Ct Scanner
Text-fig. 3. CT slices on Block 3. Invertebrate moulds (a, c) and remains of their hard skeletons (a, b). Large areas of limestone matrix hold either only a few scattered invertebrates or no fossil at all (b, c). Ring artefacts seen close to the isocentre of the scan (b, c) are a well-known phenomenon caused by the X-ray beams traversing the block at an insufficient radiation dose (as expected in such a large block of dense material), and are not part of any physical structure present therein (Triche et al. 2019).
Text-fig. 6. a: Reconstruction of the fertile shoot Archaeopteris from the Late Devonian; b: Reconstruction of tree that bore Archaeopteris shoots; c: Juvenile form ("sapling") of Archaeopteris-bearing tree. Redrawn from Cleal and Thomas (2019). in Naming Of Parts: The Use Of Fossil-Taxa In Palaeobotany
Text-fig. 6. a: Reconstruction of the fertile shoot Archaeopteris from the Late Devonian; b: Reconstruction of tree that bore Archaeopteris shoots; c: Juvenile form ("sapling") of Archaeopteris-bearing tree. Redrawn from Cleal and Thomas (2019).
Text-fig. 3. Some of the fossil-genera produced by a Carboniferous arborescent sphenospid. Redrawn from Cleal and Thomas (2019). in Naming Of Parts: The Use Of Fossil-Taxa In Palaeobotany
Text-fig. 3. Some of the fossil-genera produced by a Carboniferous arborescent sphenospid. Redrawn from Cleal and Thomas (2019).
Text-fig. 1. The pioneers of scientific palaeobotany whose ideas laid the foundations of how we now name plant fossil-taxa. a: Ernst von Schlotheim (1764 – 1821); b: Kaspar Maria von Sternberg (1761 – 1837), reproduced by permission from J. Kvaček (National Museum, Prague); c: Adolphe Brongniart (1801 – 1876). Adapted from Cleal and Thomas (2019: fig. 2.1). in Naming Of Parts: The Use Of Fossil-Taxa In Palaeobotany
Text-fig. 1. The pioneers of scientific palaeobotany whose ideas laid the foundations of how we now name plant fossil-taxa. a: Ernst von Schlotheim (1764 – 1821); b: Kaspar Maria von Sternberg (1761 – 1837), reproduced by permission from J. Kvaček (National Museum, Prague); c: Adolphe Brongniart (1801 – 1876). Adapted from Cleal and Thomas (2019: fig. 2.1).
Text-fig. 7. Geology of the Muaredzi-Muanza sector of the Cheringoma Plateau showing the location of fossil occurrences. White stars – fossiliferous localities mapped by Pickford (2012, 2013), Black stars – fossil sites mapped by Habermann et al. (2019) and d'Oliveira Coelho et al. (2021) (GPL 12 and GPL 12b correspond to the White Patch sites). TTI – Cheringoma Formation, TTs1 – Mazamba Formation, TTs1a – Palaeopan facies, TTs2 – Inhaminga Formation, Qc – Quaternary sediments. The base map is modified from Google Earth. in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 7. Geology of the Muaredzi-Muanza sector of the Cheringoma Plateau showing the location of fossil occurrences. White stars – fossiliferous localities mapped by Pickford (2012, 2013), Black stars – fossil sites mapped by Habermann et al. (2019) and d'Oliveira Coelho et al. (2021) (GPL 12 and GPL 12b correspond to the White Patch sites). TTI – Cheringoma Formation, TTs1 – Mazamba Formation, TTs1a – Palaeopan facies, TTs2 – Inhaminga Formation, Qc – Quaternary sediments. The base map is modified from Google Earth.
Fig. 3 in Description of a new Ophichthus eel from Dongsha Atoll, South China Sea, and a range extension of Ophichthus kusanagi Hibino, McCosker & Tashiro, 2019
Fig. 3. Drawings of (A) head pores and (B) teeth on upper jaw (left) and lower jaw (right). Knob between nostrils is indicated by arrow. Missing teeth are represented by dotted lines.
Fig. 2 in Description of a new Ophichthus eel from Dongsha Atoll, South China Sea, and a range extension of Ophichthus kusanagi Hibino, McCosker & Tashiro, 2019
Fig. 2. Ophichthus pratasensis, new species, holotype, fresh, NMMB-P35993. A, dorsal view; B, ventral view.
Fig. 1 in Description of a new Ophichthus eel from Dongsha Atoll, South China Sea, and a range extension of Ophichthus kusanagi Hibino, McCosker & Tashiro, 2019
Fig. 1. Ophichthus pratasensis, new species, holotype, fresh, NMMB-P35993, 585 mm TL. A, lateral view; B, lateral view of right side of head; C, posterior portion of tail, left side, anterior to left, preserved. Not to scale.
Fig. 5 in Description of a new Ophichthus eel from Dongsha Atoll, South China Sea, and a range extension of Ophichthus kusanagi Hibino, McCosker & Tashiro, 2019
Fig. 5. Ophichthus kusanagi Hibino, McCosker & Tashiro, 2019, NMMB-P34713. A, dorsal view; B, ventral view.
Ocean ambient noise data on the Chukchi Plateau from August 2018 to October 2019
<p>The noise spectrum level under different sea ice conditions, and monthly and hourly ambient noise level on the Chukchi Plateau from August 1st, 2018 to October 31st, 2019.</p>
Winter time trace gas concentrations during SCALE in 2019
<p>This dataset details the results of measuring climate-relevant trace gases collected during the SCALE 2019 Winter Cruise. </p> <p>The results includ the concentrations of dimethylsulfide (DMS), dimethylsulfoniopropionate (DMSP), dimethylsulfoxide (DMSO), and isoprene in surface seawater, and the concentrations of DMS in the atmosphere.</p> <p> </p>
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.