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.
57
datasets available to search
ShareScore release 0.9.0
Dataset results
57 results for “Drifters”
Open Surface Drifter Data - Pirita river
<p>This dataset contains the surface drifter tracks collected in Pirita River (Estonia) to test the open drifter presented in the publication https://doi.org/10.3390/s22249918</p>
DRIFteRS: A dataset of drift invertebrate densities in streams and rivers across western North America, 1997–2024
Prey availability is among the most influential and highly variable determinants of fish growth and freshwater habitat carrying capacity, yet it remains understudied compared to physical habitat variables (Rosenfeld et al. 2014; Weber et al. 2017; Ouellet et al. 2025). We often lack a clear understanding of how much food is available to fishes, how it varies spatially and temporally, and how it influences responses to restoration (Wipfli et al. 2010; Ouellet et al. 2025; Rossi et al. 2024). Drift invertebrates—the primary food source for juvenile salmonids and other drift-foraging fishes—play a pivotal role in these dynamics. To better understand the spatial and temporal variability of drift invertebrate abundance and biomass across the freshwater range of drift-feeding salmonids in western North America, we compiled the DRIFteRS dataset (DRift Invertebrates For salmonids in River Systems). The dataset encompasses 6,159 samples of drift invertebrates, and, for a subset of drift samples, associated benthic invertebrate density data, collected from 1,360 reaches on 459 unique rivers and streams spanning 55 river basins considered hydrologically independent (i.e., not nested within the same larger watershed) across British Columbia, Canada, and the U.S. states of Alaska, Arizona, California, Colorado, Idaho, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming. Sample sites represent a diverse array of river and stream habitats (e.g., headwater, mainstem, side channel), in watersheds with diverse land uses (e.g., urban, wilderness, agricultural), and disturbance histories (e.g., fire, restoration). Collected between 1997 and 2024, the data span the full calendar year and capture daily and seasonal patterns in drift abundance and biomass densities. When paired with water quality and quantity data as well as remotely sensed environmental landscape data, such as land use / land cover, climate, and disturbance history, channel morphology, and riparian vegetation compo
Raw data for: Pressure and inertia sensing drifters for glacial hydrology flow path measurements
<p>Raw data for paper</p> <p>Title: Pressure and inertia sensing drifters for glacial hydrology flow path measurements</p> <p>Authors: A.Alexander, M.Kruusmaa, J.A. Tuhtan, A.J. Hodson, T.V. Schuler, A. Kääb</p> <p>Journal: The Cryosphere</p> <p>Year, 2020</p>
GulfDrifters: A consolidated surface drifter dataset for the Gulf of Mexico
<p>This dataset consists of all publicly available surface drifter trajectories from the Gulf of Mexico, subjected to a uniform quality control and processing methodology and interpolated onto hourly resolution. Full details as to the datasets and processing may be found in</p> <p>Lilly, J. M. and P. Pérez-Brunius (2021). A gridded surface current product for the Gulf of Mexico from consolidated drifter measurements. <em>Earth System Science Data</em>, 13: 645–669. https://doi.org/10.5194/essd-13-645-2021.</p> <p>A related dataset is the GulfFlow space/time gridded velocity product, comprised of these data together with three proprietary experiments. GulfFlow is available at https://zenodo.org/record/3978793 for noncommercial use. </p> <p>One of those proprietary experiments is the Deep Water Dispersion Experiment (DWDE). This is available for noncommercial use at https://zenodo.org/record/3979964, together with a version of the GulfDrifters dataset, GulfDriftersDWDE, that also incorporates the DWDE data.</p> <p> </p> <p> </p> <p> </p>
Preliminary data collected by 2 prototype Surface Velocity Platform drifters with Barometer and Reference Sensor for Temperature (SVP-BRST)
<p>The SVP-BRST drifter was developed to serve calibration and validation of Sentinel satellite SST retrievals. Two prototypes were deployed in the Mediterranean Sea end of April 2018. Preliminary data collected then until 11 June 2018 are published in this dataset. The drifters were developed and deployed under funding from the European Union's Copernicus Programme. The data are transmitted from the buoy to shore using data format #091 (see References).</p>
Ocean drifters from oil-on-water exercise in North Sea (Frigg oil field) June 2019
<p>Ocean drifters from oil-on-water exercise in North Sea (Frigg oil field) June 2019. Described in more detail in Brekke, C., Espeseth, M. M., Dagestad, K.-F., Röhrs, J., Hole, L. R., & Reigber, A. (2021). Integrated analysis of multisensor datasets and oil drift simulations - a free-floating oil experiment in the open ocean. Journal of Geophysical Research: Oceans, 126, e2020JC016499. https://doi.org/10.1029/2020JC016499</p> <p>Work is funded by grant no. 237906 (CIRFA) of the Norwegian Research Council.</p>
Drifter deployed on Inhambane Bay (Mozambique) in July 21, 2017.
<p>This is the data set of the track for the drifter deployed on Inhambane Bay (Mozambique) in July 21, 2017.</p> <p>This data is reported in the manuscript:</p> <p>Solana G.; Grifoll, M.; and Espino, M; 2020. Hydrographic variability and estuarine classification of Inhambane Bay (Mozambique) In: Malvárez, G. and Navas, F. (eds.), Proceedings from the International Coastal Symposium (ICS) 2020 (Seville, Spain). Journal of Coastal Research, Special Issue No. 95, pp. 50-54. Coconut Creek (Florida), ISSN 0749-0208. DOI: 10.2112/SI95-126.1</p> <p>The instrument used was a Arduino + GPS Fona Shield</p> <p>METADATA</p> <p>File is in csv format.</p> <p>Time is given in UTM+2 format.</p> <p>Period:'2017-07-21 09:43:00 - '2017-07-21 14:30:00</p> <p>Data headers:</p> <p>Valid,Time,Latitude,Longitude,Altitude,Speed (Km/h),Address,Attributes</p> <p>1,2017-07-21 09:43:28,-23.792458,35.386703,0 m,0.6 ,Unnamed Road. Inhambane. MZ,battery=87 hdop=355.7 ip=197.218.83.149 distance=1.76 totalDistance=1.0659886039E8</p>
Trajectories of Stokes drifter deployed during the RV Pelagia Sargassum Cruise PE-455
<p>Trajectories of the 20 Stokes drifters deployed in the Tropical Atlantic Ocean during the RV Pelagia Sargassum Cruise PE-455. The code to analyse these drifters is available at https://github.com/OceanParcels/Sargassum_Drifters</p>
North Sea drifter trajectories 2024
<p>Trajectories of twelve oceanic drifters deployed in the Wadden Sea just north of the town of Moddergat on 25 April 2024.</p> <p>The drifters are so-called <strong>Stokes drifters</strong>, built by <a href="https://metocean.com/products/stokes-drifter/">MetOcean</a> in Canada. They are small, white, floating devices that are designed to follow the water motion in the Wadden Sea. The drifters are equipped with a GPS and a satellite transmitter, so that we can track their position in real time.</p> <p>The data have not been cleaned for outliers. Note that transmission frequencies change during the trajectories (as indicated in the time variable)</p> <p>An interactive visualisation of the drifters can be seen <a href="https://oceanparcels.org/driftermap.html?fn=waddendrifters2024_detailed.json&anim_freq=0.2" target="_blank" rel="noopener">here</a>.</p>
Wadden Sea drifter trajectories 2023
<p>Trajectories of twentyfour oceanic drifters deployed in the Wadden Sea just east of the island of Texel on 14 November 2023.</p> <p>The drifters are so-called <strong>Stokes drifters</strong>, built by <a href="https://metocean.com/products/stokes-drifter/">MetOcean</a> in Canada. They are small, white, floating devices that are designed to follow the water motion in the Wadden Sea. The drifters are equipped with a GPS and a satellite transmitter, so that we can track their position in real time.</p> <p>The data have not been cleaned for outliers. Note that transmission frequencies change during the trajectories (as indicated in the time variable).</p> <p>An interactive visualisation of the drifters can be seen <a href="https://oceanparcels.org/driftermap.html?fn=waddendrifters2023_detailed.json&anim_freq=0.2" target="_blank" rel="noopener">here</a>.</p>
Fig. 6 in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea
Fig. 6: Same as Figure 4, but of the drifters during the 2009 experiment: A) drifter d1 and B) drifter c1 (red), drifter c2 (magenta) and drifter d3 (yellow).
Fig. 7 in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea
Fig. 7: Wind progressive vector diagrams for the 2008 (A) and 2009 (B) experiments colour coded with the time. The axis represents the displacements in km of a pure wind-driven particle having a speed equal to 1% of wind speed.
Fig. 2 in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea
Fig. 2: (A) Central points chosen as reference for the meteorological conditions of the Aegean Sea (black dot in the middle of the basin). Wind time series during the 2008 (B) and 2009 (C) experiments.
Fig. 5 in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea
Fig. 5: Same as Figure 4, but of the southern triplet drifters during the 2008 experiment: A) drifter a1; B) drifter a2 and C) drifter a3.
Fig. 1 in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea
Fig. 1: Geographical references and deployment positions during 2008 (yellow dots) and 2009 (magenta dots). The bathymetry is saturated at - 600 m. SB: Singitikos Bay; SM: Samothraki Island; L: Lemnos Island; DS: Dardanelles Strait; AE: Agios Efstratios Island; S: Skyros Island; A: Andros Island; T: Tinos Island; MY: Mykonos Island; M: Milos Island.
Fig. 4 in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea
Fig. 4: Six-hourly interpolated trajectories of the northern triplet drifters during the 2008 experiment superimposed on the bathymetry: A) drifter b1 (red curve) and drifter b2 (yellow curve) and B) drifter b3. The dots show the drifter position every 6 hours and the black arrows, indicating the direction of the drifters, are depicted every 5 days. See Table 1 for drifter attributes. Depth colourbar is the same as in Figure 1.
Fig. 8A in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea
Fig. 8A: Three-day drifter trajectories superimposed on the SST composite of the period 28-30 August 2008. The dot symbols correspond to the end of the 3-day trajectories.
Fig. 3 in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea
Fig. 3: Drifter trajectories during the 2008 (A) and 2009 (B) experiments. The drifters of the northern triplets are indicated in magenta colour, while the drifters of the southern triplets are depicted in yellow colour. Depth colourbar is the same as in Figure 1.
Figure 8 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 8. The relationship between the temperature of the sea surface layer obtained from drifters and SST according to Landsat-5, -7 Level-2 data: (a) measurements that have a time difference of no more than two hours with the flight of the satellite; (b) all measurements on the day of the satellite flyby.
Figure 4 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 4. An example of the absence in the archives of images over the central part of the Caspian Sea (flight track N 166 of the Landsat-7 satellite on 22 July 2008.
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.