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8
datasets available to search
ShareScore release 0.9.0
Dataset results
8 results for “sea-level projections”
Dataset for "Remapping of Greenland ice sheet surface mass balance anomalies for large ensemble sea-level change projections"
<p>This dataset is used to reproduce the results presented in the following publication:</p> <p>Goelzer, H., Noel, B. P. Y., Edwards, T. L., Fettweis, X., Gregory, J. M., Lipscomb, W. H., van de Wal, R. S. W., and van den Broeke, M. R.: Remapping of Greenland ice sheet surface mass balance anomalies for large ensemble sea-level change projections, The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-188, in review, 2019.</p> <p> </p>
Rethinking Sea-Level Projections using Families and Timing Differences
<p>Dataset for publication "Rethinking Sea-Level Projections using Families and Timing Differences"</p>
Impacts of bed topography resolution on sea-level rise projections from coupled subglacial hydrology and ice dynamics for Thwaites Glacier, Antarctica
Open the record for dataset details and reuse information.
Relative sea-level projections for Norway based on IPCC AR6
<p>This dataset contains IPCC AR6 relative sea-level projections tailored to Norway and published in the Norwegian Centre for Climate Services report by Simpson et al. (2024).</p> <p>The projections has been produced by taking the IPCC AR6 relative sea-level projections without the background vertical land motion (VLM) component (Kopp, 2021), which have then been combined with the semi-empirical NKG2016LU VLM model (Vestøl et al., 2019). See Simpson et al. (2024) for more details.</p> <p><strong>References</strong></p> <p>Kopp, R. E. (2021). IPCC AR6 Relative Sea Level Projections without Background Component (Version 20210809) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5967269</p> <p>Vestøl, O., Ågren, J., Steffen, H., Kierulf, H., & Tarasov, L. (2019). NKG2016LU: A new land uplift model for Fennoscandia and the Baltic Region. <em>Journal of Geodesy</em>, <em>93</em>(9), 1759–1779. <a href="https://doi.org/10.1007/s00190-019-01280-8">https://doi.org/10.1007/s00190-019-01280-8</a></p> <p>Simpson, M.J.R., Bonaduce, A., Borck, H.S., Breili, K., Breivik, Ø., Ravndal, O.R., Richter, K., 2024. Sea-Level Rise and Extremes in Norway: Observations and Projections Based on IPCC AR6. Norwegian Centre for Climate Services report 1/2024, ISSN 2704-1018, Oslo, Norway.</p>
Elevation projections for the Mekong delta (Vietnam) under sedimentation strategies, subsidence, compaction, and sea-level rise
<p>Modelled elevation projections for the Mekong delta (Vietnam) to 2050 under scenarios of fluvial sedimentation, organic accumulation, anthropogenic-accelerated subsidence, natural compaction, and global sea-level rise. Data is in meters above sea level and georeferenced (WGS84 UTM zone 48N).<br> For methodology and detailed description of the data, please see Dunn and Minderhoud (2021) DOI to follow, in which part of the dataset is presented in Figure 6.</p>
Global mean sea-level projections from MimiBRICK forced by uncertain emissions trajectories
<p>Model output for Darnell et al (2025), . Output contains csv files for components of GMSLR from 1850--2300, as well as parameter values for the simulations. There are two files: emissions_parameters.zip, which contains the parameter values used to generate the emissions trajectories, and ensemble_output.zip, which contains the model outputs. Rows correspond to ensemble members and columns correspond to years.</p>
Global Mean Sea-Level Rise Projections to 2150 and 2300 (PROTECT)
<p>Full-track projections of global mean sea-level rise from PROTECT. Please check the deliverable text for details regarding these data.</p>
Regional Sea-Level Change Projections to 2150 and 2300 (PROTECT)
<p>Full-track projections of regional sea-level change from PROTECT. Due to file size constraints, only quantiles are shared here instead of complete distributions. Please check the deliverable text for details regarding these data.</p>
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.