Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,107
datasets available to search
ShareScore release 0.9.0
Dataset results
2,107 results for “margin;”
FIGURE 1 in Tanaidomorph Tanaidacea (Crustacea: Peracarida) from Mud-Volcano and Seep Sites on the Norwegian Margin
FIGURE 1. Pseudotanais (P.) falcifer sp. nov., A, female holotype, dorsal; B, juvenile, dorsal; C, male, dorsal. Scale lines = 1 mm.
FIGURE 17 in Tanaidomorph Tanaidacea (Crustacea: Peracarida) from Mud-Volcano and Seep Sites on the Norwegian Margin
FIGURE 17. Akanthophoreus vikingra sp. nov., A, cheliped, with A', detail of chela; B to G, pereopods 1 to 6 respectively; H, pleopod; I, uropod. Scale lines = 0.1 mm.
FIGURE 9 in Tanaidomorph Tanaidacea (Crustacea: Peracarida) from Mud-Volcano and Seep Sites on the Norwegian Margin
FIGURE 9. Meromonakantha irregularis (Hansen, 1913), female, A, dorsal; B, lateral. Scale lines = 0.1 mm.
FIGURE 13 in Tanaidomorph Tanaidacea (Crustacea: Peracarida) from Mud-Volcano and Seep Sites on the Norwegian Margin
FIGURE 13. Obesutanais depilator sp. nov., female, A, antennule; B, antenna; C, labrum; D, left mandible; E, right mandible; F, maxillule endite; G, maxilla; H, labium; I, maxilliped. Scale lines = 0.1 mm.
FIGURE 11 in Tanaidomorph Tanaidacea (Crustacea: Peracarida) from Mud-Volcano and Seep Sites on the Norwegian Margin
FIGURE 11. Meromonakantha irregularis (Hansen, 1913), female, A, cheliped; B to G, pereopods 1 to 6 respectively; H, pleopod; I, uropod. Scale lines = 0.1 mm.
FIGURE 6 in Tanaidomorph Tanaidacea (Crustacea: Peracarida) from Mud-Volcano and Seep Sites on the Norwegian Margin
FIGURE 6. Cryptocopoides nobilis sp. nov., female, A, antennule; B, antenna; C, labrum; D, left mandible; E, right mandible; F, maxilla and maxillule endite, with F', maxillule palp; G, labium; H, maxilliped. Scale lines = 0.1 mm.
FIGURE 16 in Tanaidomorph Tanaidacea (Crustacea: Peracarida) from Mud-Volcano and Seep Sites on the Norwegian Margin
FIGURE 16. Akanthophoreus vikingra sp. nov., male, A, antennule; B, antenna; C, labrum; D, left mandible; E, right mandible; F, maxillule endite; G, epignath; H, labium; I, maxilliped. Scale lines = 0.1 mm for A to E, G to I, 0.1 mm for F.
FIGURE 8. Typhlotanais mixtus Hansen, 1913, A in Tanaidomorph Tanaidacea (Crustacea: Peracarida) from Mud-Volcano and Seep Sites on the Norwegian Margin
FIGURE 8. Typhlotanais mixtus Hansen, 1913, A, labrum; B, maxilliped; C, pereopod 4; D, pereopod 6; E, uropod. Scale lines = 0.1 mm.
(Early-Middle Devonian paleomagnetic results from the Zhongba Microterrane, Tibetan Plateau: Evidence for its origin from the northern margin of Greater India
<p>Table S1. An attachment of characteristic remanent magnetization (ChRM) directions of the Nadenger Formation from the Zhongba area.</p>
Nature of Paleo-Pacific subduction along the East Asian continental margin Insights from the sedimentary record of West Sarawak,Borneo
<p>The Table S1, S2, S3, S4 in the manuscript "Nature of Paleo-Pacific subduction along the East Asian continental margin: Insights from the sedimentary record of West Sarawak, Borneo"</p>
Data from: Global warming intensity of biofuel derived from switchgrass grown on marginal land in Michigan
<p>Energy crops for biofuel production, especially switchgrass (<em>Panicum virgatum</em>), are of interest from a climate change perspective. Here, we use outputs from a crop growth model and life cycle assessment (LCA) to examine the global warming intensity (GWI; g CO<sub>2</sub> MJ<sup>-1</sup>) and greenhouse gas (GHG) mitigation potential (Mg CO<sub>2</sub> year<sup>-1</sup>) of biofuel systems based on a spatially explicit analysis of switchgrass grown on marginal land (abandoned former cropland) in Michigan, USA. We find that marginal lands in Michigan can annually produce over 0.57 hm<sup>3</sup> of liquid biofuel derived from nitrogen-fertilized switchgrass, mitigating 1.2-1.5 Tg of CO<sub>2</sub> per year. About 96% of these biofuels can meet the Renewable Fuel Standard (60% reduction in lifecycle GHG emissions compared with conventional gasoline; GWI ≤ 37.2 g CO<sub>2</sub> MJ<sup>-1</sup>). Furthermore, 73-75% of these biofuels are carbon-negative (GWI less than zero) due to enhanced soil organic carbon (SOC) sequestration. However, simulations indicate that SOC levels would fail to increase and even decrease on the 11% of lands where SOC stocks >> 200 Mg C ha<sup>-1</sup>, leading to carbon intensities greater than gasoline. Results highlight the strong climate mitigation potential of switchgrass grown on marginal lands as well as the needs to avoid carbon rich soils such as histosols and wetlands and to ensure that productivity will be sufficient to provide net mitigation.</p>
FIGURE 4 in A new deep-sea eelpout of the genus Pyrolycus (Teleostei: Zoarcidae) associated with a hydrothermal seep on the Pacific margin of Costa Rica
FIGURE 4. Live images of Pyrolycus jaco sp. nov., not collected, living among Lamellibrachia barhami and Escarpia spicata colonies. Photo credit: ROV SuBastian/Schmidt Ocean Institute.
FIGURE 3 in A new deep-sea eelpout of the genus Pyrolycus (Teleostei: Zoarcidae) associated with a hydrothermal seep on the Pacific margin of Costa Rica
FIGURE 3. Pore configuration on the dorsal surface of the head in Pyrolycus jaco sp. nov., holotype, SIO 20-41, 107+ mm SL. PO: postorbital pores; OCC: occipital pores. Scale bar = 2 mm.
FIGURE 2 in A new deep-sea eelpout of the genus Pyrolycus (Teleostei: Zoarcidae) associated with a hydrothermal seep on the Pacific margin of Costa Rica
FIGURE 2. CT-image of the lateral left side of the head of SIO 20-41, holotype, Pyrolycus jaco sp. nov., 107+ mm SL, with A) parashpeonid and palatopterygoid series and B) orbital series highlighted. Scale bar = 5 mm.
FIGURE 1 in A new deep-sea eelpout of the genus Pyrolycus (Teleostei: Zoarcidae) associated with a hydrothermal seep on the Pacific margin of Costa Rica
FIGURE 1. Holotype of Pyrolycus jaco sp. nov., SIO 20-41, 107+ mm SL, Jacó Scar, Costa Rica A) freshly collected; B) in preservation, note caudal region removed by collectors; C) superimposition of radiograph over fresh image to estimate vertebral count. Scale bar= 20 mm.
Malkowski et al., 2023, Flexural response to erosional unloading of continental margins -- Dataset
<p>Jupyter Notebooks and datasets used in Malkowski, M.A., Steelquist, A.T., Hilley, G.E., 2023, Flexural response to erosional unloading of continental margins: An example from the Bering Sea, USA, Geophysical Research Letters</p>
Quantifying the water contribution of subtropical mode water and related isopycnal/diapycnal water mixing in the western Pacific boundary current area using radiocesium: a significant nutrient contribution from subtropical Pacific gyre to the marginal region
<p>This is the dataset for "Quantifying the Water Contribution of Subtropical Mode Water and Related Isopycnal/Diapycnal Water Mixing in the Western Pacific Boundary Current Area using Radiocesium: A Significant Nutrient Contribution from Subtropical Pacific Gyre to the Marginal Region".</p> <p class="Note"> </p>
Power spectral density estimates of underwater wind and rain noise from the northeast Pacific continental margin
<p>Power spectral density (PSD) estimates of of underwater wind and rain noise used in the papers</p> <ul> <li> <p>Schwock, F., & Abadi, S. (2021a). Characterizing underwater noise during rain at the northeast Pacific continental margin. <em>The Journal of the Acoustical Society of America</em>, <em>149</em>(6), 4579–4595. https://doi.org/10.1121/10.0005440</p> </li> <li> <p>Schwock, F., & Abadi, S. (2021b). Statistical analysis and modeling of underwater wind noise at the northeast pacific continental margin. <em>The Journal of the Acoustical Society of America</em>, <em>150</em>(6), 4166–4177. https://doi.org/10.1121/10.0007463</p> </li> </ul> <p>The PSD estimates were computed using raw data from the Ocean Observatories Initiative (https://ooinet.oceanobservatories.org/). The data and documentation can be downloaded here:</p> <p>https://drive.google.com/drive/u/1/folders/19jvgp_86Ou2zW_GugETP29ZwVK2_GmUb</p>
Early–Middle Devonian paleomagnetic results from the Zhongba Microterrane, Tibetan Plateau: Evidence for its origin from the northern margin of Greater India
<p>raw paleomagnetic data and Palaeozoic detrital zircon data from the Zhongba Microterrane, South Qiangtang Terrane, Tethyan Himalayas and Lhasa Terrane</p>
Data and code for 'Transient knickpoint migrating modulated by fault activities on the Northeastern Tibetan Plateau margin: A case from the Yellow River '
<p> </p> <p>Kindly feel free to reach out to me (<a href="mailto:lizhch@smail.nju.edu.cn">lizhch@smail.nju.edu.cn</a>) if you have any queries or encounter issues with the 'codes'.</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.