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.
8
datasets available to search
ShareScore release 0.9.0
Dataset results
8 results for “programming process data”
EISCAT Svalbard radar Common Program data from February 26 to February 28 2023, which is processed by GUISDAP
<p>This is two-dimensional (time and altitude) ionospheric parameter data that contains electron density, electron temperature and ion temperature. It is estimated based on EISCAT Svalbard radar measurement implemeted as common program from February 26 to Feburuary 28, 2023 (https://portal.eiscat.se/) and processed by a software for incoherent scatter radar analysis, GUISDAP (https://gitlab.com/eiscat/guisdap9). The more detailed descriptions can be found as metadata in the uploaded netCDF file.</p>
The statistical data of bubbles during the rising stage in plunging wave breaking, along with the associated processing programs
<p>During plunging wave breaking, a significant number of multi-scale bubbles emerge, which can persist for extended periods. These bubbles are accurately captured and tracked by a bubble-droplet detection program. The dataset provides detailed statistics on bubble properties, including size, velocity, and spatial distributions during the entire rising stage for three different wave slopes. </p>
The statistical data of bubbles during the rising stage in plunging wave breaking, along with the associated processing programs
Open the record for dataset details and reuse information.
Processed ADCP and CTD Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program
<p>These are the hourly acoustic doppler current profiler (ADCP) and conductivity-temperature-depth (CTD files from the ten moored bottom frames and buoys deployed as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A technical report describing the details of processing and moored aspects of the experiment can be found in: Haines, S., <em>et al.</em> (2022) Mooring Data Report for the Processes driving Exchange at Cape Hatteras (PEACH) Project. (doi:10.5281/zenodo.6380851). </p>
Processed Buoy and Bulk Heat Flux Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program
<p>These are the hourly buoy and bulk heat flux from National Data Buoy Center (NDBC) buoys and the two buoys deployed as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A technical report describing the details of processing and the moored aspects of the experiment can be found in: Haines, S., et al. (2022) Mooring Data Report for the Processes driving Exchange at Cape Hatteras (PEACH) Project. (doi:10.5281/zenodo.6380851).</p>
Processed High Frequency Radar (HFR) Surface Current Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program
<p>These hourly surface current velocities are a combined product derived from 8 monostatic radars (4 CODAR and 4 WERA) operated as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A detailed description of processing methods and analysis is provided by Seim, <em>et al. </em>(2022) and a brief outline in the documentation uploaded with this dataset.</p> <p>Seim, H., Savidge, D., Muglia, M., Haines, S., & Han, L. (2022). Surface current observations from a combined CODAR/WERA high-frequency radar array along the North Carolina coast during the Processes Driving Exchange at Cape Hatteras (PEACH) Project. <em>IEEE/MTS Proceedings Oceans 2022</em>.</p>
Data from: Avoiding tipping points in fisheries management through Gaussian process dynamic programming
Model uncertainty and limited data are fundamental challenges to robust management of human intervention in a natural system. These challenges are acutely highlighted by concerns that many ecological systems may contain tipping points, such as Allee population sizes. Before a collapse, we do not know where the tipping points lie, if they exist at all. Hence, we know neither a complete model of the system dynamics nor do we have access to data in some large region of state space where such a tipping point might exist. We illustrate how a Bayesian non-parametric approach using a Gaussian process (GP) prior provides a flexible representation of this inherent uncertainty. We embed GPs in a stochastic dynamic programming framework in order to make robust management predictions with both model uncertainty and limited data. We use simulations to evaluate this approach as compared with the standard approach of using model selection to choose from a set of candidate models. We find that model selection erroneously favours models without tipping points, leading to harvest policies that guarantee extinction. The Gaussian process dynamic programming (GPDP) performs nearly as well as the true model and significantly outperforms standard approaches. We illustrate this using examples of simulated single-species dynamics, where the standard model selection approach should be most effective and find that it still fails to account for uncertainty appropriately and leads to population crashes, while management based on the GPDP does not, as it does not underestimate the uncertainty outside of the observed data.
Data from: Avoiding tipping points in fisheries management through Gaussian process dynamic programming
Open the record for dataset details and reuse information.
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.