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Dataset results
5 results for “Flux, discharge”
Concentration–discharge relationships of chlorophyll describe the origin and fluxes of river algae across ecoregions
Since 2017, the National Ecological Observatory Network (NEON) program provides an extensive network of automated instruments and field sampling at 34 different aquatic sites across the U.S. NEON data provides a rare opportunity to combine high-frequency measurements from sensors with physical samples collected at multiples sites from different biomes. Such combination of data is frequently available only for 1, or few, sites. NEON provides the necessary data to translate some of the methods and research previously applied to single sites to a large spatial and temporal scale. Our approach in this study was to obtain all the available and reliable data from NEON aquatic sites, and analyze high frequency measurements of Chlorophyl a (Chl a) concentration and turbidity during high flows with a common analytical procedure. Then, we relate these high flow patterns to watershed conditions and algal communities to elucidate the controls on river phytoplankton communities and fluxes. The data provided here summarizes multiple storm characteristics and C-Q metrics (hysteresis index) for Chl a and turbidity for several high flow events at 26 different NEON stream and river sites.
RADIT: A Machine Learning-Reconstructed Dataset of River Discharge, Temperature, and Heat Flux into the Arctic Ocean
<p>The Reconstructed Arctic-draining river DIscharge and Temperature (RADIT) dataset provides daily records of river discharge, temperature, and heat flux for 25 major Arctic-draining rivers from 1950 to 2023. Using machine learning methods and ERA5-Land reanalysis data, we reconstructed these key hydrological variables with high accuracy (most NSEs > 0.8).</p> <p>Due to licensing restrictions and to encourage adherence to the stated licenses of the original input data, this dataset only provides the reconstructed (filled) values. Users can obtain the complete historical observational data from their original publicly available sources as detailed in our documentation. By combining these original observations with our reconstructed data, a comprehensive and continuous daily dataset from 1950 to 2023 can be assembled. Clear instructions and links for downloading the original observational data used in this study can be found at: <a href="https://github.com/zhwang24/RADIT-Reconstructed-Arctic-River-Data" target="_blank" rel="noopener">https://github.com/zhwang24/RADIT-Reconstructed-Arctic-River-Data</a>. Should you encounter any issues or have questions, please feel free to contact the first author, Zihan Wang (zhwang2018@163.com).</p>
Influence of Dust Particles on Spatial Distributions of Particles and Fluxes in Positive Column of Glow Discharge.
<p><strong>Figures obtained from numerical simulation and discribe the influence of dust particles on spatial distributions of particles and fluxes in positive column of glow discharge. Table contain a list of reactions used in model. Dataset will be published in the article "Influence of Dust Particles on Spatial Distributions of Particles and Fluxes in Positive Column of Glow Discharge" </strong>C. Yuan, R. Tian, D. V. Bogdanov, E. A. Bogdanov, A. A. Kudryavtsev and Z. Zhou</p>
Dataset: Meltwater discharge, suspended sediment and bedload flux, air temperature and precipitation at the Otemma Glacier terminus (2022 melt season)
<p>This dataset extends existing timeseries from the Otemma Glacier terminus on meltwater discharge (Müller and Miesen, 2022), suspended sediment and bedload flux (Mancini et al., 2023a), and air temperature and precipitation (Müller, 2022) into the 2022 melt season. The methodologies used for data collection were consistent with those used in previous years (see included technical report). Water and sediment flux measurements were performed at gauging station GS1 (aka Station 1) located in the main proglacial river, approx. 0.35 downstream of the glacier terminus (Müller and Miesen, 2022; Mancini et al., 2023a). Air temperature and precipitation data were collected at the "Glacier snout station" adjacent to GS1 (Müller, 2022). Data collection specifics for the 2022 melt season are provided in the <code>report2022.pdf</code> file.</p> <p><strong>DATA:</strong><br><code>river.csv</code> - water and sediment flux timeseries from GS1 with columns:<br>year: yyyy<br>frac_day: fractional day of the year<br>dt: measurement interval [mins]<br>Qw: meltwater discharge [m3/s]<br>Qss: suspended sediment flux [kg/s]<br>Qb: bedload flux [kg/s]<br>Q<em>xx</em>_lo or Q<em>xx</em>_hi: the lower and upper uncertainty bounds for Qw, Qss, Qb [kg/s]<br><em>Extended data for 2020 and 2021 melt seasons also included*</em></p> <p><code>weather.csv</code> - air temperature and precipitation timeseries spanning 18 Nov 2021 to 16 Aug 2022 from 'Glacier snout station' with columns:<br>datetime: local time (UTC+01 with DST) [yyyy-mm-dd hh:mm:ss] <br>temperature: air temperature [°C]<br>precipitation: liquid or solid precipitation [mm w.eq.]</p> <p><em>*Extended flux datasets are also provided for 2020 and 2021 given the difference in scope between Mancini et al. (2023b) and Jenkin et al. (2024, submitted for review). The datasets in Mancini et al. (2023b) have been post-processed for comparative analysis between two different gauging stations (upstream and downstream), while in this work, the most temporally complete timeseries of subglacial sediment export at the upstream gauging station was required. Therefore, the data provided here for 2020 and 2021 include: (i) a short extension of the timeseries, (ii) the removal of a suspended sediment clipping threshold, and (iii) filling of gaps in the 2020 suspended sediment timeseries with real measured data.</em></p>
Zero Heat Flux Temp Monitor on Discharge Hypothermia Among Trauma Patients (RUZIT Trial)
ClinicalTrials.gov study NCT03313258. IPD Sharing: UNDECIDED. Countries: 1. Publications: 16.
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.