29 datasets

NCL Data2026 · Sequencing

<p>The West Kallaallit Nunaat (Greenland) coast, characterized by a variety of fjords, bays, and channels influenced by glacier melting and Atlantic and Arctic waters, is one of the most affected ecosystems by climate change. Here, we combine oceanography, optics, microscopy, high throughput sequencing, microalgal strain establishments, and state-of-the-art analytical methods to fully characterize

NCL Data2026 · Sequencing

<p>The West Kallaallit Nunaat (Greenland) coast, characterized by a variety of fjords, bays, and channels influenced by glacier melting and Atlantic and Arctic waters, is one of the most affected ecosystems by climate change. Here, we combine oceanography, optics, microscopy, high throughput sequencing, microalgal strain establishments, and state-of-the-art analytical methods to fully characterize

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This dataset provides the source data underlying the figures and tables of the manuscript</p><p dir="ltr">"A process-based screening framework for coastal reservoirs" (COMMSENV-26-0429A,</p><p dir="ltr">Communications Earth & Environment).</p><p><br></p><p dir="ltr">The framework evaluates candidate coastal-reservoir sites across five dimensions and</p><p dir="ltr">16 indicators, supp

UCL Research Data Repository + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<blockquote><p dir="ltr">Source data for "A process-based screening framework for coastal reservoirs" (COMMSENV-26-0429, Communications Earth & Environment): 16-indicator, dimensional and composite scores for the three candidate sites (Figs. 2 and 4) and the four reference systems (Table 3). </p></blockquote><p></p>

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">The zipped file contains the necesary data and plotting scripts to recreate the data-displaying figures in the main paper. Plotting scripts are available as either Matlab or Python scripts.</p>

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Satellite observations of sea surface chlorophyll-a concentration (SChl) provide a basin-scale record for interpreting marine productivity and upper ocean biogeochemical variability. However, clouds and other observational limits create gaps in SChl retrieval, which can bias the SChl record, especially in cloud-prone subpolar gyres. Here, we use satellite SChl data from 2010–2019 to q

ZivaHub + HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This repository contains the code and intermediate data used to reproduce the main and supplementary figures. The Code folder includes scripts for calculating intermediate variables from the original inputs and generating the figures. The Data folder contains the final plotting data in NumPy (.npy) format. Detailed instructions are provided in README.txt.</p><p dir="ltr">Because of th

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">Dataset for "Lee-wave–driven near-field mixing: A dynamically constrained vertical scale controlled by inertial currents" by Hibiya and Tanaka (2026).</p>

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">An understanding of patterns of microplastic loss and sedimentation is important for identifying microplastic hotspots and their evolution. Here we show accumulation of microplastics in an anthropogenically impacted glacier-valley-fjord system in Svalbard, Norway. Microplastics were found in the snowpack overlying the glaciers (1.2 ± 1.6 n L^-1), inside an englacial meltwate

figshare2026 · Astronomical catalogue

<p dir="ltr">Dataset is acquired using the shipborne LOOP system (Lidar for Ocean Optics Profiles; which operates at a 20 Hz sampling frequency and 0.099 m vertical resolution. During the APOEWP (Active and Passive Ocean Experiment in the Western Pacific) campaign (Oct 22 – Dec 10, 2019) and a mesoscale‑eddy transect experiment (Dec 12–13, 2019), more than ten thousand raw profiles were collected.

figshare2026 · Astronomical catalogue

<p dir="ltr">This repository contains code and ROMS configuration scripts accompanying the manuscript “Scale-dependent Constraints on the Recoverability of Sea Surface Height from Mesoscale Information.”</p><p dir="ltr">The study investigates the recoverability of finer-scale sea surface height (SSH) variability from mesoscale information in the Kuroshio Extension using a conditional generative di

figshare2026 · Astronomical catalogue

<p dir="ltr"><b>Abstract: </b>The ΔN₂/Ar method assumes physical perturbations to N₂ and Ar are synchronous, isolating biological N₂. In high-wind estuaries, however, bubble-mediated exchange diverges markedly among gases due to differences in solubility and partial pressure. Using winter observations in the Changjiang Estuary and a size-fractionated bubble model, we quantified air–sea exchange of

figshare2026 · Astronomical catalogue

<p dir="ltr">This dataset contains remote sensing image patches derived from seven Sentinel-2A scenes over the Yellow Sea for ×4 image super-resolution. It contains 10,320 patches and adopts a scene-wise train/validation/test split.</p>

Teesside University Research Data Repository2026 · dataset

Processed data and analysis code accompanying Seasonal and Interannual Variability of Ekman Pumping Velocity in the Maluku Sea from 2004–2023. Includes derived Ekman Pumping Velocity fields, seasonal climatology, ENSO event classification, EOF modes, spatial correlation results, and the Python/Jupyter notebook used to generate all analyses and figures. Raw input data (ERA5, GLORYS12V1, GlobColour,

ZivaHub + HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Marine heatwaves are extreme ocean warming events that threaten marine ecosystems. Tropical cyclones are thought to terminate them through surface cooling, but this view overlooks their evolution at depth. Here we show that three consecutive tropical cyclones vertically reorganize the 2018 East China Sea marine heatwave and prolong its duration. High-resolution modelling reveals that

HKU DataHub + figshare + Loughborough Research Repository2025 · Astronomical catalogue

<h3 dir="ltr">Description</h3><p dir="ltr">Model outputs required to run the test suite of the <a href="https://github.com/pyTMD/pyTMD" target="_blank" rel="noreferrer"><code>pyTMD</code></a> tide prediction software.</p><h3 dir="ltr">Disclaimer</h3><p dir="ltr"><i>All models are owned and maintained by their developers.</i> <a href="https://github.com/pyTMD/pyTMD" target="_blank" rel="noreferrer"

Teesside University Research Data Repository2025 · dataset

This data set contains float data from the western Paciifc in June 2023. The data has been gridded in the temporal resolution of 30 min and vertical resolution of 2 m.

Teesside University Research Data Repository2024 · dataset

A detailed CTD/LADCP survey in the Vidal Channel (Western Tropical Atlantic) was carried out during cruise 94 of the R/V “Akademik Mstislav Keldysh” in January, 2024. The main objective of this survey was to measure abyssal gravity currents of Antarctic Bottom Water and to estimate its transport to the Northwest Atlantic. The stations were located along the entire channel from 12°N to 17N. A tota

Teesside University Research Data Repository2024 · dataset

These data are for the publication, which estimates the drag coefficient under 5 tropical cyclones by combing model simulations and EM-APEX float observations: "Zhou, Xiaohui, et al. "Drag coefficient and its sea state dependence under tropical cyclones." Journal of Physical Oceanography (2022), DOI:https://doi.org/10.1175/JPO-D-21-0246.1 " There are Six folders: (1) URIWindForcing: The 10-meter w

Teesside University Research Data Repository2024 · dataset · unknown

A detailed method description and other related parameters for physicochemical and biological properties in the water column of Coastal Antarctica of this dataset is originally a part of the ongoing peer review article "Response of zooplankton to unusual increase in temperature and sea ice melting in coastal Antarctica: Climate change perspective" in JGR-Oceans by V.Venkataramana, R.K.Mishra, Mele

Teesside University Research Data Repository2024 · dataset

This dataset include the float measurements in the scientific analysis. This data is gridded in the vertical resolution of 2 m and temporal resolution of 30 min. For the details about the variables, please contact the authors. The title is changed to match the latest manuscript.

Teesside University Research Data Repository2023 · dataset

The scale-to scale kinetic energy cascades east of Taiwan are obtained by coarse-graining method based on simulated data from the well-validated ROMS model.

Borealis + Agri-environmental Research Data Dataverse2021 · dataset · unknown

This dataset provides observations of runup of breaking and non-breaking impulse waves on steep slopes of 25°, 35° and 45°. Impulse waves were generated in a series of 36 laboratory flume experiments by releasing a range of slide source volumes of highly mobile slide material (water) into a different reservoir depths to vary incipient wave characteristics and assess their impact on observed runup

Teesside University Research Data Repository2020 · dataset

Dataset necessary to replicate the analysis presented in the study titled "Size-differentiated Export Flux in Different Dynamical Regimes in the Ocean" in the journal Global Geochemical Cycles.

Teesside University Research Data Repository2019 · dataset

Alongshore averaged sandbar morphometric parameters are provided for Ensenada Beach (Baja California, Mexico), consisting of monthly measured sandbar locations, heights, distances, depths, widths and areas. In addition, wave measurements averaged over the periods of morphologic data are provided (Hs, Tp and Dir).