Find research datasets worth reusing

Dataset used for "End-to-end simulation of particle physics events with Flow Matching and generator Oversampling" , https://arxiv.org/abs/2402.13684

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Learn from Human-driving Accidents to Attack Autonomous Driving_Practical Traffic Flow Attacks on Decision-making

We provide some demo videos of attack patterns

Rapid Flow-Based Synthesis of Post-Translationally Modified Peptides and Proteins: A Case Study on MYC's Transactivation Domain

Raw data for the project "Rapid Flow-Based Synthesis of Post-Translationally Modified Peptides and Proteins: A Case Study on MYC's Transactivation Domain". Manuscript and supporting information available on Chemical Science: <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4SC00481G">https://doi.org/10.1039/D4SC00481G</a>

Kinematic Process and Characteristic of Root-Induced Water Flow Using a Visualizing Point Source Infiltration Experiment

The video is the temporal results of the 2-D point source infiltration experiment in this paper. ‘G-’ represents the granular experimental group, and ’RG-’ represents the root-granular experimental group. The injection rate of G-1 and RG-1 is 0.25 mm/min, corresponding to the boundary flow rate of 0.03 ml/min.  In this experiment, the glass beads have a particle diameter ranging from 0.6-0.8 mm. The selected root has diameters ranging from 1.3-1.5 mm.

opencc-by-4.0Jan 2024View details →

Erosion data of debris flows on banks with herbaceous plants

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SWOT-compliant GRDC river flow dataset for the estimation of Flow-Duration Curves

This repository hosts the data used in the manuscript "Potential legacy of SWOT mission for the estimation of Flow-Duration Curves” by Alessio Domeneghetti, Serena Ceola, Alessio Pugliese, Simone Persiano, Irene Palazzoli, Attilio Castellarin, Alberto Marinelli, Armando Brath The study investigates the potential of the Surface Water and Ocean Topography (SWOT) mission for the estimation of Flow-Duration Curves (FDCs) globally. SWOT-like river flow data is derived from the Global Runoff Data Centre (GRDC) dataset by selecting river gauging stations with a cross section wider than 100 m and with more than 10-year long daily river flow time series. Overall, 1200 river gauging stations are considered, from which 24 alternative SWOT-like river flow datasets can be derived by assuming different satellite revisiting times, biases and random errors, as detailed in the manuscript. The dataset includes detailed features on the selected 1200 river gauging stations. GRDC river flow daily time series for each station is provided as .csv. A .shp file provides the geographical location of each GRDC gauging station, including GRDC number, river, gauging station municipality, country, latitude and longitude, contributing area, altitude and Köppen-Geiger climate classification.

ParaturboCAD Dataset of R134a HGJB Supported Centrifugal Compressors Optimized Across Varied Mass Flows

This dataset showcases the capabilities of the ParaturboCAD Python library in automatically generating CAD models of optimized gas-bearing supported turbocompressors. Using input from NSGA-III driven optimizations that yield abstract/1D parameters, ParaturboCAD efficiently maps these parameters to detailed 3D geometries. Each model, provided in both STEP and STL formats, represents each of the subsystems and the final turbocompressor assembly. Designed to operate with R134a refrigerant, these centrifugal compressors are optimized for various nominal mass flows, demonstrating the library's proficiency in translating optimization results into practical, manufacturable designs. With an average generation time of less than 7 minutes per design on a 12 cores CPU clocked at 4.3HGz, this dataset not only validates the efficiency of ParaturboCAD but also serves as a valuable tool for researchers and engineers focusing on advanced compressor design and manufacturing processes.

Obtaining Continental-Scale, High-Resolution 2-d Ionospheric Flows and Application to Meso-Scale Flow Science

The SuperDARN 2-d velocity vectors using the spherical elementary current systems (SECS) technique. The file names show UT. Each file contains magnetic latitude and longitude, geographic latitude and longitude, northward and eastward velocity in magnetic, northward and eastward velocity in geographic, and the number of echoes in each grid. AACGM is used as the magnetic coordinates.

Rock-magnetic, paleomagnetic and multimethod paleointensity data from the Pliocene Khaveti lava flow sequence in Georgia

The folder “1 Rock magnetic data Khaveti.zip” contains data in .txt format of IRM acquisition curves (extension .irm), hysteresis curves (extension .hys), backfield curves (extension .coe) and thermomagnetic magnetisation versus temperature curves (extension .rmp) obtained on Pliocene volcanic rocks from a lava flow sequence in the Lesser Caucasus in Georgia . Measurements were performed in the paleomagnetic laboratory of the University of Burgos (Spain). Columns are separated by tabs. Data can be visualised and analysed with the RockMagAnalyzer 1.0 software (Leonhardt, 2006). The folder “2 Paleomagnetic data Khaveti.zip” contains paleomagnetic thermal and alternating field demagnetisation data obtained on Pliocene volcanic rocks from a lava flow sequence in the Lesser Caucasus in Georgia. Measurements were performed in the paleomagnetic laboratory of the University of Burgos (Spain). Data are in .txt format with the extension .rs3. Columns are separated by empty spaces. Data can be visualised and analysed with the Remasoft software (Chadima and Hrouda, 2006). The folder “3 Paleointensity data Khaveti Thellier_Coe.zip” contains two folders with paleointensity determination data obtained with the Thellier-Coe method on Pliocene volcanic rocks from the Khaveti lava flow sequence in the Lesser Caucasus in Georgia. The two folders Thellier_Coe Khaveti_down and Thellier_Coe Khaveti_up contain paleointensity determination data obtained respectively in the 14 lower and 14 upper flows of the sequence. Experiments were carried out in the Paleomagnetics and Magnetic Materials Laboratory of the University of Hawai’i at Manoa. Data from each flow have been put in an own folder, and are in .txt format with the extension .tdt separated by tabs. Data can be visualised and analysed with the ThellierTool software (Leonhardt et al.,2004). The folder “4 Paleointensity data Khaveti Multispecimen.zip” contains two folders with paleointensity determination data from Pliocene volcanic rocks from the Khaveti lava flow sequence in the Lesser Caucasus in Georgia. These data were obtained with the multispecimen method (Biggin and Poidras, 2006; Dekkers and Böhnel, 2006; Fabian and Leonhardt, 2010). The folder MS_Morelia contains determinations carried out at Laboratorio Interinstitucional de Magnetismo Natural, Instituto de Geofísica, Unidad Michoacán, UNAM, Mexico. The folder MS_Burgos contains determinations carried out at the paleomagnetic laboratory of the University of Burgos. All files are Excel files, and each one corresponds to a single sample subjected to multispecimen analysis. Data can be visualised and analysed with the VBA based software tool “MSP-Tool” (Monster et al.,2015) directly included in each one of the sample files.   <h3>REFERENCES</h3>   Biggin, A., Poidras, T., 2006. First-order symmetry of weak-field partial thermoremanence in multi-domain ferromagnetic grains. 1. Experimental evidence and physical implications. Earth Planet. Sci. Lett. 245, 438–453. doi:10.1016/j.epsl.2006.02.035 Chadima, M. and Hrouda, F., 2006. Remasoft 3.0 a user friendly paleomagnetic data browser and analyzer. Travaux Géophysiques, XXVII, 20-21. Dekkers, M.J., Böhnel, H.N., 2006. Reliable absolute palaeointensities independent of magnetic domain state. Earth Planet. Sci. Lett. 248, 507–516. doi:10.1016/j.epsl.2006.05.040 Fabian, K., Leonhardt, R., 2010. Multiple-specimen absolute paleointensity determination: An optimal protocol including pTRM normalization, domain-state correction, and alteration test. Earth Planet. Sci. Lett. 297, 84–94. doi:10.1016/j.epsl.2010.06.006 Leonhardt, R., Heunemann, C. and Krása, D., 2004. Analyzing absolute paleointensity determinations: Acceptance criteria and the software ThellierTool4.0. Geochem. Geophys. Geosyst., Vol. 5, no. 12, doi.: 10.1029/2004GC000807. Leonhardt, R., 2006. Analyzing rock magnetic measurements; The RockMagAnalyzer 1.0 software.Computers and Geosciences, 32, 1420-1431. Monster, M.W.L., de Groot, L. V., Dekkers, M.J., 2015. MSP-Tool: A VBA-Based Software Tool for the Analysis of Multispecimen Paleointensity Data. Front. Earth Sci. 3, 1–9. https://doi.org/10.3389/feart.2015.00086

Code and dataset for article "Robust quantum engineering of current flow in carbon nanostructures at room temperature" published in Carbon, 119950 (2024), DOI: 10.1016/j.carbon.2024.119950

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Bacterial abundances by flow cytometry - collected from the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition.

Seawater surface samples (5 m) were collected every 6 hours from the ship’s underway pump. In addition, vertical profiles (6 depths, generally from 5 to 100-150 m) were sampled from CTD casts using a SBE 911 Plus attached to a rosette of 24 12-L PVC Niskin bottles. This dataset presents the abundances of high-DNA containing and low-DNA containing bacteria from seawater samples collected from the ship’s underway pump and CTDs.  Samples were fixed with paraformaldehyde and glutaraldehyde and stored at -80ºC. In the lab, they were thawed, stained with SYBR-Green, and counted in a Cube 8 flow cytometer (SYSMEX PARTEC) based on green fluorewscence. Samples were collected around the Southern Ocean on the R/V Akademik Tryoshnikov in the austral summer of 2016/2017, as part of the Antarctic Circumnavigation Expedition (ACE).

Data for Autonomous Flow Routing for Near Real-Time Quality of Service Assurance

Data of the journal paper: S. Barzegar, M. Ruiz and L. Velasco, "Autonomous Flow Routing for Near Real-Time Quality of Service Assurance," in IEEE Transactions on Network and Service Management, vol. 21, no. 2, pp. 2504-2514, April 2024, doi: 10.1109/TNSM.2023.3339201 (<a href="../records/10246061" target="_blank" rel="noopener">link to the paper</a>) This dataset has been generated within the framework of the European Commission thought the HORIZON SNS JU DESIRE6G (G.A. 101096466), the MINECO UNICO5G TIMING (TSI-063000-2021-145) and the MICINN IBON (PID2020-114135RB-I00) projects, and from the ICREA Institution. (2023-12-05). Additional details and updates can be checked in the following <a href="https://doi.org/10.34810/data1404" target="_blank" rel="noopener">link</a>

Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression

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Dataset for the manuscript "pH drives electron density fluctuations that enhance electric field-induced liquid flow"

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opencc-by-4.0Oct 2023View details →

Deposition characteristics of debris flows in wooded channel

This dataset mainly contains point cloud data of debris flow deposition landforms in wooded channel and data reflecting the physical and movement characteristics of debris flows. These data were obtained through physical model experiments.

opencc-by-4.0Aug 2023View details →

The dataset for the manuscript entitled "SUPHRE: A reactive transport model with unsaturated and density-dependent flow"

This is the dataset for the manuscript entitled "SUPHRE: A reactive transport model with unsaturated and density-dependent flow".

Shadowgraph measurements of rotating convective planetary core-style flows (data, code, and figures)

Data files and accompanying matlab analysis code for the paper: "Shadowgraph Measurements of Rotating Convective Planetary Core-Style Flows"

opencc-by-4.0Jul 2024View details →

Dataset: Phytoplankton Cell-States: multiparameter lifetime flow monitoring reveals cellular heterogeneity: additional repeats

Additional datasets of repeated experiments for Dataset: Phytoplankton Cell-States: multiparameter lifetime flow monitoring reveals cellular heterogeneity

opencc-by-4.0Apr 2022View details →

Dataset for "Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions" in the Annals of Applied Statistics

This is the dataset to be used for the paper in the Annals of Applied Statistics titled: "Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions" Download, unzip and place in the ./paper-data directory in the R package repository <a href="https://github.com/sangwon-hyun/flowmix">https://github.com/sangwon-hyun/flowmix</a>. Then, run the code in ./paper-code to produce the figures and tables.