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.
1,265
datasets available to search
ShareScore release 0.9.0
Dataset results
1,265 results for “discharges”
SBC LTER: Land: Hydrology: Stream discharge and associated parameters at Refugio Creek, Hwy 101 (RG01)
Stream Discharge and water temperature were collected with a Solinst Model 3001 LT Levelogger at Refugio Creek at Highway 101, RG01 in the Santa Barbara coastal area (site ID: RG01). Data are reported hourly. Stage values were converted to discharge using a rating curve developed with stream channel cross-sections, roughness estimates and the HEC-RAS model.
SBC LTER: Land: Hydrology: Stream discharge and associated parameters at Rattlesnake Creek, Las Canoas Rd (RS02)
Stream Discharge and water temperature were collected with a Solinst Model 3001 LT Levelogger at Rattlesnake Creek at Las Canoas Road, RS02 in the Santa Barbara coastal area (site ID: RS02). Data are reported hourly. Stage values were converted to discharge using a rating curve developed with stream channel cross-sections, roughness estimates and the HEC-RAS model.
Compound flood potential from river discharge and storm surge extremes at the global scale
<p>This dataset presents the results presented in <a href="https://doi.org/10.5194/nhess-20-489-2020">Couasnon et al. (2019) - Measuring compound flood potential from river discharge and storm surge extremes at the global scale</a>. For more information about the methods, please refer to the paper. This dataset was created using as input <a href="https://zenodo.org/record/3552820#.XmIdoVxKhaQ">time series of discharge and maximum storm surge at river mouths globally from 1980 - 2014</a>.</p> <p>If using this data, please cite: </p> <p>Couasnon, A., Eilander, D., Muis, S., Veldkamp, T. I. E., Haigh, I. D., Wahl, T., Winsemius, H. C., and Ward, P. J.: Measuring compound flood potential from river discharge and storm surge extremes at the global scale, Nat. Hazards Earth Syst. Sci., 20, 489–504, https://doi.org/10.5194/nhess-20-489-2020, 2020.</p>
Chirped-Pulse Broadband Spectra of Benzene Discharges
<p>Broadband chirped-pulse spectra of electrical discharges mixtures of Benzene with O<sub>2</sub> and N<sub>2</sub>.</p> <p>Spectra were recorded at the Center for Astrophysics | Harvard & Smithsonian on separate occasions; integration times are around ~12 hours (run overnight).</p> <p>X000 and X001.csv files correspond to assignments made in each experiment; the leading number corresponds to the mixture, while the last digit corresponds to mid-band (0—6–19 GHz) and high-band (1—18–27 GHz) measurements.</p> <p>4000/4001 - Benzene + Ne buffer gas</p> <p>5000/5001 - Benzene + O<sub>2</sub> + Ne buffer gas</p> <p>6000/6001 - Benzene + N<sub>2</sub> + Ne buffer gas</p> <p> </p> <p>fit_SI.pdf corresponds to a compiled PDF of all of the assignments made across the experiments, including a `.fit` and `.lin` printout, where applicable. Entries with the fit outputs contain the parameter encodings used in the SPFIT program. This PDF was generated using `rosetta_stone_final.csv`, which provides a comprehensive mapping/naming used to refer to molecules studied in these mixtures.</p> <p> </p> <p>The spectra used for analysis are provided as `.txt` files—prefixed by the mixture, with the corresponding frequency range for the acquisition.</p>
stream discharge and forcing data
<p>Files in this dataset list the stream discharge and forcing data for our study "Assessing streamflow sensitivity to precipitation variability in karst-influenced catchments with unclosed water balance". </p>
Data for "Incidence, clinical course and risk factor for recurrent PCR positivity in discharged COVID-19 patients in Guangzhou, China: a prospective cohort study"
<p>Data for "Incidence, clinical course and risk factor for recurrent PCR positivity in discharged COVID-19 patients in Guangzhou, China: a prospective cohort study"</p>
Water temperature and discharge at monitoring station along the Rhine
<p>We provide daily average water temperatures and discharge at following Rhine monitoring stations:<br> Basel; Worms; Koblenz; Cologne.<br> We provide the yearly heat input from Nuclear power plants between following stations:<br> upstream Basel; between Basel and Worms; between Worms and Koblenz; between Koblenz and Cologne.<br> We provide the calculated catchment wide air temperature, described in the paper https://doi.org/10.5194/hess-2019-518<br> The data is connected to the publication:<br> Anthropogenic Influence on the Rhine water temperatures<br> https://doi.org/10.5194/hess-24-5027-2020</p>
Optimal copula models for the observed discharge and nitrate concentration in the Lower Illinois River
<p>Investigating the complex relationships between water quality parameters and river discharge has been an area of active research for decades. The objective of this study is to apply bivariate distributions to river nitrate concentration and discharge and to suggest the procedure of choosing the best bivariate distribution in the selected models. Nitrate concentration (NO<sub>3</sub>) data were measured from 1972 to 2012 at five stations in the Lower Illinois River basin, USA. The bivariate distribution was represented by applying three copula models to explore the dependence between discharge and nitrate concentration. The marginal distributions for the copula models include the generalized Pareto (GPA), generalized extreme value (GEV), two-parameter lognormal (LN2), and three-parameter lognormal (LN3) distributions as well as the three copula models of Clayton, Frank, and Gumbel, respectively. Each procedure was tested by the robust diagnostic, the probability plot correlation coefficient (PPCC) test, and the goodness-of-fit test ( statistic). Consequently, the Frank copula model with GPA for stream flow–GPA for nitrate concentration performed more accurately for data from the mainstream stations, Havana (D-31) and Valley City (D-32) and for those from a station on one tributary, Oakford station along the Sangamon River (E-25). However, along other tributaries such as the La Moine River at Ripley (DG-01) and Spoon River at Seville (DJ-08), the Clayton copula model with NL3 for stream flow–GPA for nitrate concentration showed better fit. This study enabled us to develop a procedure to determine an optimal copula for application to the environmental sciences and suggest a case study for the application of copula models to discharge, as a hydrologic variable, and nutrient concentration as a water quality variable.</p>
Observed discharge
Positions for gauging stations in Europe. Locations adjusted according to E-HYPE2.5 subbasin division.
Antarctic Ice Sheet grounding line discharge from 1996 to 2024
<p>This dataset provides estimates of grounding line discharge from the Antarctic Ice Sheet and all of it's drainage basins, as described in the following pre-print (under review):</p> <p>Davison, B. J., Hogg, A. E., Slater, T., Rigby, R., and Hansen, N.: Antarctic Ice Sheet grounding line discharge from 1996–2024, Earth Syst. Sci. Data, 17, 3259–3281, https://doi.org/10.5194/essd-17-3259-2025, 2025.</p> <p>Check the README/UserGuide for summaries of what each .zip file includes</p> <p> </p> <p><strong>Update notes</strong></p> <ul> <li>Updated through November 2024</li> <li>Added BedMap3 </li> </ul> <p> </p> <p>Any questions, comments or suggestions, send them to: b.j.davison@sheffield.ac.uk</p> <h3> </h3> <p> </p>
Data from: Analysis of a cusped helicon plasma thruster discharge
<p><strong>Data from: </strong>Analysis of a cusped helicon plasma thruster discharge</p> <p>- Authors: Pedro Jimenez, Jiewei Zhou, Jaume Navarro, Pablo Fajardo, Mario Merino, Eduardo Ahedo</p> <p>- Contact email: pejimene@ing.uc3m.es</p> <p>- Date: 2024-02-08</p> <p>- Keywords: electric propulsion, electrodeless plasma thruster, helicon plasma thruster, plasma simulation</p> <p>- Version: 1.1</p> <p>- License: This dataset is made available under the <a href="http://opendatacommons.org/licenses/by/1.0/">Open Data Commons Attribution License</a></p> <p> </p> <p><strong>Abstract</strong></p> <p>This dataset contains the data found in the plots of the journal article:</p> <p><a href="https://iopscience.iop.org/article/10.1088/1361-6595/ad01da/meta">Analysis of a cusped helicon plasma thruster discharge (Plasma Sources Science and Technology)</a></p> <p> </p> <p><strong>Dataset description</strong></p> <p>The data in this repository has been extracted from the experiments and simulations as described in the manuscript.</p> <p>For further information on the setup for the simulation please refer to the article.</p> <p> </p> <p><strong>Data files</strong></p> <p>The data files are in comma separated .csv format. Many programming languages provide functionalities to load such fields.</p> <p>The files are organised following the order of the figures in the article. Therefore each file contains a different sized array. </p> <p><em>1D plots: </em>Each line is given as 3 colums, the first one corresponds to the abscissa coordinate (X data), the second one to the ordinate (Y data) and the last one to the error (+/- value in the same units as Y data).</p> <p><em>2D contours: </em>All data is provided in a structured mesh. 3 matrices are concatenated in the column dimension. The first two matrices correspond to the Z,R coordinates in a <a href="https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html">meshgrid</a> format, as customary in Matlab and NumPy. The last matrix corresponds to the field values. A description of the dimensions (extension in columns) of the matrices is provided as a header in the first row. Example: For a field represented in a 100(z) x 50 (r) mesh. The csv will have 50+1(header) rows and 3x100 = 300 columns.</p> <p> </p> <p><strong>Citation</strong></p> <p>Any works using this dataset or any part of it in any form shall cite it as follows:</p> <p>The prefered means of citation is to reference the publication asociated to the jounal article with DOI: <a href="https://doi.org/10.1088/1361-6595/ad01da">10.1088/1361-6595/ad01da</a></p> <p>The BibTex is also provided for the sake of convinience:</p> <p>@article{jimenez2023analysis,</p> <p> title={Analysis of a cusped helicon plasma thruster discharge},</p> <p> author={Jim{\'e}nez, Pedro and Zhou, Jiewei and Navarro, Jaume and Fajardo, Pablo and Merino, Mario and Ahedo, Eduardo},</p> <p> journal={Plasma Sources Science and Technology},</p> <p> volume={32},</p> <p> number={10},</p> <p> pages={105013},</p> <p> year={2023},</p> <p> publisher={IOP Publishing}</p> <p>}</p> <p>Optionally the dataset can be cited by referencing the DOI: <a href="https://doi.org/10.5281/zenodo.8154866">10.5281/zenodo.8154866</a></p> <p> </p> <p><strong>Acknowledgments</strong></p> <p>This dataset was created by the <a href="https://erc-zarathustra.uc3m.es/">ERC-ZARATHUSTRA </a> project.</p> <p>The ERC-ZARATHUSTRA project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 950466).</p> <p>Initial support for the activities leading to work came from the HIPATIA project, funded by the European Union’s Horizon 2020 Research and Innovation Program (grant agreement No 870542).</p>
Generation of Ammonia in a Pulsed Hollow Cathode Discharge
<p>A hollow cathode discharge with a copper nickel cathode (Cu50Ni50) was operated in an Ar/H2/N2 gas mixture. Optical emission spectroscopy revealed the formation of NH radicals, which serve as precursors for NH3 formation. Ion mass spectrometry showed the formation of NH3+ and NH4+ ions indicating NH3 formation. Gas samples taken at the exhaust of the vacuum system were analyzed by Fourier transform infrared spectroscopy. Clear evidence for NH3 formation was obtained from these measurements</p>
Raw and analysed data for contribution paper "Investigation of deoxidation mechanisms on Cu surfaces in a dielectric barrier discharge plasma"
<p><strong>Abstract</strong><br> In this study, we present a laboratory setup for the deoxidation of 10 × 10 mm2 samples via dielectric barrier discharge (DBD) plasma and we show results for the deoxidation of copper in an Ar/H2 atmosphere at 1000 hPa. The effect of combined heat and DBD plasma treatment was investigated by heating surfaces up to 250 °C during plasma operation. All results were compared for surfaces before and after plasma treatment. The chemical structure of surfaces was studied using X-ray Photoelectron Spectroscopy (XPS) and the morphology was measured via Confocal Laser Scanning Microscopy (CLSM). Additionally, the properties of the plasma during the reduction of copper oxides were investigated via Optical Emission Spectroscopy (OES).</p>
Replication package of "The Chemical Origins of Plasma Contraction and Thermalization in CO2 Microwave Discharges" by A.W. van de Steeg et al.
<p>Title: The Chemical Origins of Plasma Contraction and Thermalization in CO2 Microwave Discharges<br> Authors: A.W. van de Steeg, L. Vialetto, A.F. Sovelas da Silva, P. Viegas, P. Diomede, M.C.M. van de Sanden, G.J. van Rooij<br> Journal: The Journal of Physical Chemistry Letters<br> Date: 2022-02-11<br> Description: <br> In this letter first Thomson scattering measurements in pure CO2 plasma were reported. The measurements show a thermalazation of electron temperature and gas temperature occurs with increasing pressure, coinciding with plasma contraction.<br> A 1D model is coupled with these measurements to elucidate the mechanisms behind both phenomena. Thus, it is revealed that associative ionization of radicals plays a crucial role. It connects thermal properties (gas temperature, heat and mass transport) with electon properties. <br> Access rights: Open<br> License: Creative Commons Attribution 4.0</p> <p><br> This replication package consists of the raw data used for the creation of each figure, ie measurement data, together with the python scripts used for data treatment.</p> <p>Most raw data is in the form of .spe files. The python library (by D.v.d. Bekerom) calibrate_fiber_pos is always used to read these camera images.</p> <p>The modelling data can be found separately in the publication of L. Vialetto (ref 20 in the Letter).<br> </p>
Future water level, discharge, and flood maps under climate change and infrastructure impacts along the Cambodian Mekong.
<p>Baseline and future (2036-2065) river water levels and discharges at 4 gauging stations along the Cambodian Mekong (Kratie, Kampong Cham, Chrouy Changva, and Neak Loeung) under different scenarios of climate change (RCP 4.5 and 8.5) and infrastructural developments. Average depth and duration flood maps are also included for each scenario.</p> <p> </p> <p>A full description of the methods and results can be found in the article: </p> <p>Alexander J. Horton, Nguyen V. K. Triet, Long P. Hoang, Sokchhay Heng, Panha Hok, Sarit Chung, Jorma Koponen, and Matti Kummu. (2022). The Cambodian Mekong floodplain under future development plans and climate change. <em>Nat. Hazards Earth Syst. Sci.</em></p>
Raw and analyzed data for manuscript "Dielectric barrier discharge plasma reduction of oxidized copper surfaces in an Ar/SiH4 atmosphere"
<p><strong>Abstract:</strong></p> <p>Nowadays, cold plasma techniques like dielectric barrier discharge (DBD) plasmas have attracted considerable interest in view of high deoxidation efficiencies as well as relative simplicity of setups. Although DBD plasma deoxidation of copper has been mainly studied in Ar/H<sub>2</sub> mixtures, there is no information on reduction performance of such methods in other protective atmospheres. In this study, the reduction of natively oxidized copper surfaces using a DBD plasma in an Ar/SiH<sub>4</sub> atmosphere at 100 hPa and 20 °C was investigated. The influence of a silane gas on the deoxidation performance was studied by varying the SiH<sub>4</sub> concentration from 0.0 to 0.5 vol%. An addition of a SiH<sub>4</sub> gas to an Ar atmosphere results in the increase of the deoxidation effect of a DBD plasma, so almost all Cu<sub>2</sub>O was reduced after around 10 s of treatment in 0.1 vol% silane. Surface morphology analysis showed formation of particles after Ar/SiH<sub>4</sub> plasma treatments, which can be cleaned from the surfaces by wiping. Additionally, characterization of the plasma phase indicated the presence of SiH<sup>*</sup> radicals, which likely play a role in the deoxidation effect. Moreover, an elimination of residual oxygen and nitrogen species in Ar by addition of SiH<sub>4</sub> was observed.</p>
ICU post- discharge persistent symptoms, self-reported health and quality of life of COVID-19 survivors: A cohort study.
<p> </p> <p>Understanding the consequences and health impact of COVID-19 survivors discharged from the ICU is still unclear. The aim of this study was to investigated persistent symptoms, health satisfaction and health related quality of life (HRQoL) of patients that were hospitalized due COVID-19 infection after 30, 90 and 180 days from ICU discharge. This is a multicentric prospective cohort study of COVID-19 survivors discharged from 8 hospitals of Curitiba – Paraná (Brazil), between September 2020 and January 2022. Eligible COVID 19 survivors were contacted by phone and invited to answer telephone survey at 30, 90 and 180 days after ICU discharge. They responded a phone questionnaire to collect post-discharge clinical symptoms, and we also asked about health satisfaction and HRQoL. 62 COVID-19 survivors (51,6% males, mean age 50,3 years, median length of ICU stay of 13 days) responded to the telephone survey at 30, 90 and 180 days. The most persistent symptoms were fatigue (65,9%, 51,3%, 44,7%, respectively), mild dyspnea (42%, 31%, 29,8%, respectively) and myalgia (29%, 22,1%, 17%, respectively). Myalgia showed a significant reduction from 30 days to 180 days (p=0,034), and the number of symptoms also reduced significantly (30 to 90 days, <em>p=0.018</em>, 30 to 180 days<em>, p=0.001 </em>). At 30, 90 and 180 follow up days the most patients had reported “good” quality of life (59,7%, 62,9%, 51,6%, respectively), and “satisfied” with health (43,5%, 48,4%, 46,8%, respectively). We found that COVID-19 symptoms persist to 180 days, fatigue more commonly. Nevertheless, in this cohort study, most COVID-19 survivors reported good quality of life and were satisfied with health.</p>
DATASET: Using auxiliary electrochemical working electrodes as probe during contact glow discharge electrolysis: A proof of concept study
<p>This project contains all the data shown in the figures of the manuscript (and the supporting information) entitled:<br> 'Using auxiliary electrochemical working electrodes as probe during contact glow discharge electrolysis: A proof of concept study'<br> (doi:10.26434/chemrxiv-2022-0v5sc).</p> <p>The data to each figure is provided in a subfolder where each curve is stored as a single CSV.<br> The filenames contain labels describing the curves.</p>
Analysed data for poster presentation "Dielectric barrier discharge plasma deoxidation of copper and iron surfaces"
<p>Removal of oxygen contaminations from metal surfaces during industrial fabrication processes is an important cleaning step mitigating the negative impact of native oxide layers on the performance of compounds. Different plasma deoxidation techniques were developed to remove such oxide layers. Although a large number of studies were focused on of low-pressure plasma techniques, there is the lack of information on the deoxidation effect of plasmas that operate in the atmospheric pressure range.</p>
Peak discharge and total flood volume dataset
<p>Peak discharge and total flood volume dataset extracted from the compound flood events in the upper reaches of the Yangtze River based on peak-over-threshold approach. </p>
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.