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.
3,206
datasets available to search
ShareScore release 0.9.0
Dataset results
3,206 results for “property (T)”
The Eurybates family of the Jupiter Trojan asteroids: members, orbital and spectral properties
<p>This dataset contains identified members of the Eurybates family, a collisional family of the Jupiter Trojans.</p> <p>The members were identified in Marschall et al 2022 (Implications for the collisional strength of Jupiter Trojans from the Eurybates family) using the hierarchical clustering method (HCM).</p> <p>Two tables presented in the accepted manuscript are available here in machine-readable form.</p> <p><strong>Table 3.</strong> List of all 400 Eurybates family members identified by the hierarchical clustering method (HCM) including the likely interloper (5258) Rhoeo (see discussion in Sec. 2). The table gives the asteroid number (nr.), the provisional designation (prov. des.), the absolute magnitude (H), the diameter (D), as well as the proper semi-major axis (a_prop), eccentricity (e_prop), and inclination (i_prop).</p> <p><strong>Tabel 4. </strong>Color data for Eurybates family members identified by the hierarchical clustering method (HCM) including the likely interloper (5258). The table gives the asteroid number (nr.), the provisional designation (prov. des.), the absolute magnitude (H), the diameter (D), as well as the g-i color from the Sloan Digital Sky Survey, the spectral slopes between 0.3$ to 0.9 \mu m (S), and the g-r color from the Zwicky Transient Facility Observations, ZTF.</p> <p> </p>
The hydro-mechanical properties of fracture intersections: pressure dependant permeability and effective stress law
<p>The present repository includes the raw permeability data presented in the manuscript submitted for publication in Journal of Geophysical Research: Solid Earth entitled <em>The hydro-mechanical properties of fracture intersections: pressure-dependant permeability and effective stress law.</em></p> <p>The repository is presented as compressed folders named after the Figures of the manuscript where the data is presented. </p>
Data archive for the peer-reviewed journal article "Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data"
<p>Data archive accompanying the peer-reviewed journal article "Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data". This article was accepted for publication in the journal <em>Atmospheric Measurement Techniques</em> in 2022. The original contributions presented in the study are included in the article and its supplementary information. The GRASP-OPEN model was used to perform forward calculations: this model is publicly available on the official GRASP website (https://www.grasp-open.com/; last access: 14 September, 2022). The specific GRASP-OPEN model outputs that were used for the study are contained in this data archive. </p>
Dataset for "Correlation between sonic pulse velocity and flat-jack tests for the estimation of the elastic properties of unreinforced brick masonry"
<p>This repository contains data from the sonic test experimental campaign carried out in eight structures at various location in Croatia.</p> <p>The data set is structured in 3 levels of folders:</p> <p>- At first level, the 8 folders correspond to the 8 tested buildings.</p> <p>- At second level, for each building, each folder corresponds to a different test location within the building, e.g. "Data FJ1".</p> <p>- At third level, for each location, each folder corresponds to a different setup (i.e. distance and location of hammer and accelerometer), , e.g. "FJ1 1-2".</p> <p>Sonic data are presented in .txt files in three columns corresponding to the time, the hammer (emitter) and the accelerometer (receptor), respectively.</p> <p>Please cite the following related publication:</p> <p>Ortega J, Stepinac M, Lulic L, Nuñez Garcia M, Saloustros S, Aranha C, Greco F, Correlation between sonic pulse velocity and flat-jack tests for the estimation of the elastic properties of unreinforced brick masonry, under review (2022)</p>
D6.6 Dataset of turbine properties of Hog-Jaeren SE
<p>This dataset was used in Deliverable 6.6 of Upwards.</p> <p>It contains turbine properties of turbines in a simulation of the Hog-Jaeren wind park. The wind direction is chosen to be south-east.</p> <p>The simulation was conducted for different yaw misalignments of the turbines in the freestream. Thus this dataset contains 28 folders which each correspond to one yaw misalignment. The folder name indicates the yaw misalignment where 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°.</p> <p>The files in each folder contain the following properties:</p> <ul> <li>time</li> <li> torqueGen</li> <li>powerRotor</li> <li>rotSpeed</li> <li>thrust</li> <li> torqueRotor</li> <li>azimuth</li> <li>azimuth1</li> <li>azimuth2</li> <li>azimuth3</li> </ul> <p>Azimuth1, azimuth2 and azimuth3 are the azimuth angles of the three blades in radians. Azimuth is the same as azimuth1, just in degrees.</p> <p>These properties are available for all turbines in the park. Further the accumulated properties are available for each row of turbines and the whole park.</p>
D6.6 Dataset of turbine properties of Hog-Jaeren NW
<p>This dataset was used in Deliverable 6.6 of Upwards.</p> <p>It contains turbine properties of turbines in a simulation of the Hog-Jaeren wind park. The wind direction is chosen to be north-west.</p> <p>The simulation was conducted for different yaw misalignents of the turbines in the freestream. Thus this dataset contains 27 folders which each correspnd to one yaw misalignment. The folder name indicates the yaw misalignment where 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°.</p> <p>The files in each folder contain the following properties:</p> <ul> <li> <p>time</p> </li> <li> <p>torqueGen</p> </li> <li> <p>powerRotor</p> </li> <li> <p>rotSpeed</p> </li> <li> <p>thrust</p> </li> <li> <p>torqueRotor</p> </li> <li> <p>azimuth</p> </li> <li> <p>azimuth1</p> </li> <li> <p>azimuth2</p> </li> <li> <p>azimuth3</p> </li> <li> <p>Blade1</p> </li> <li> <p>Blade2</p> </li> <li> <p>Blade3</p> </li> </ul> <p>Azimuth1, azimuth2 and azimuth3 are the azimuth angles of the three blades in radians. Azimuth is the same as azimuth1, just in degrees. Blade1, Blade2 and Blade3 are the accumulated forces applied to the three blades.</p> <p>These properties are available for all turbines in the park. Further the accumulated properties are available for each row of turbines and the whole park.</p>
D6.6 Dataset of turbine properties of Lillgrund wind park
<p>This dataset was used in Deliverable 6.6 of Upwards.</p> <p>It contains turbine properties of turbines in a simulation of the Lillgrund wind park.</p> <p>The simulation was conducted for different yaw misalignments of the turbines in the freestream. Thus this dataset contains 4 folders which each correspond to one yaw misalignment. The folder name indicates the yaw misalignment where 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°.</p> <p>The files in each folder contain the following properties:</p> <ul> <li>time</li> <li>torqueGen</li> <li>powerRotor</li> <li>rotSpeed</li> <li>thrust</li> <li>torqueRotor</li> </ul> <p>These properties are available for all turbines in the park. Further the accumulated properties are available for each row of turbines and the whole park.</p>
Temporal evolution of plutonium concentrations and isotopic ratios, cesium activity concentrations, granulometric parameters and organic matter properties in the Ukedo–Takase Rivers draining the Difficult-To-Return Zone in Fukushima, Japan (2013–2020)
<p>The current dataset was compiled to investigate the temporal evolution of plutonium concentrations, isotopic ratios and radiocesium activity concentrations in flood sediment deposits collected in the Ukedo and Takase Rivers, draining a part of the Difficult-to-Return Zone, in Fukushima Prefecture, from 2013 to 2020. These radionuclides were released in large quantities during the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident that occurred in March 2011 in Northeastern Japan (Steinhauser et al., 2014). Models showed that ~ 80 % of radionuclide releases occurred over the ocean (Mathieu et al., 2018; MEXT, 2011). The radioactive plume is drained by several coastal rivers to the Pacific Ocean, and sediment-bound radionuclide transfers in these rivers are mainly controlled by the occurrence of typhoons and tropical storms (Evrard et al., 2021). The objective of the research relying on the current database is to investigate the temporal changes in Pu signatures that occurred between 2013 and 2020 in flood sediment deposits collected in the Ukedo and the Takase Rivers, and to identify potential factors controlling these changes by the means of statistical approach.</p> <p>The current dataset comprises an Excel file including the variables description, and the data itself.</p>
Figure 1: Abstract Meta-Model-UNDERSTANDING SERVICE COMPOSITION WITH NON-FUNCTIONAL PROPERTIES USING DECLARATIVE MODEL-TO-MODEL TRANSFORMATIONS
<p>To de¯ne the model we ¯rst de¯ned the abstract meta-model which con-<br> tains all the processes which can be used in the application model. These are<br> used to model the behaviour of the application (see Figure 1).</p>
3D Printing of Double Network Granular Elastomers with Locally Varying Mechanical Properties
<p>Dataset for the article entitled "3D Printing of Double Network Granular Elastomers with Locally Varying Mechanical Properties", by Eva Baur, Benjamin Tiberghien and Esther Amstad published in Advanced Materials.</p>
Data for a publication "The role of the preparation route on microstructure and mechanical properties of AlCoCrFeNi high entropy alloy"
<p>A dataset containing data for the published article "The role of the preparation route on microstructure and mechanical properties of AlCoCrFeNi high entropy alloy".</p> <p> </p> <p>For more details, please read the <strong>README Description of data and analysis.txt</strong> file.</p> <p> </p> <p> </p>
Data from: Interannual radial growth response of Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) to severe droughts: an analysis along a gradient of soil properties and rooting characteristics
<p>Dataset related to the publication: „Interannual radial growth response of Douglas-fir (<em>Pseudotsuga menziesii</em> (Mirb.) Franco) to severe droughts: an analysis along a gradient of soil properties and rooting characteristics”</p> <p>Information on the data and the tree species_site_key used can be found in the attached Read me file.</p>
Data from: The PDI model system for parameterizing soil hydraulic properties
<p>The PDI ("Peters-Durner-Iden") model system represents a robust framework for parameterizing soil hydraulic properties, i.e. the water retention curve and the hydraulic conductivity curve, across the entire soil moisture spectrum. This model accounts for water retention and hydraulic conductivity in completely and partially-filled pores, including adsorption and film-flow. The model was developed in stages and a comprehensive overview of the model development and the model equations is provided in Peters et al. (2024). In this repository, we provide a Python file named "pdi.py" which can be used to compute the various submodels (PDI-VG, PDI-KOS, PDI-FX, ...) of the PDI model system. One MS Excel file is provided for easy access to one PDI model, the PDI-VG. The PYTHON functions contained in "pdi.py" can be used to calculate the water retention curve, the unsaturated hydraulic conductivity curve, the specific water capacity function, and the soil water diffusivity function. In addition, we provide five python scripts which illustrate how to call the various PDI functions in different contexts. Notably, "pdi.py" incorporates a utility function, 'export_hydrus_materin', which generates an ASCII file named "MATER.IN". This file serves as input for simulations with Hydrus-1D and Hydrus-2D3D, offering seamless integration with these simulation platforms. It's important to emphasize that the provided Python scripts and accompanying documentation are closely aligned with the research article by Peters et al. (2024). To streamline accessibility, the repository refrains from redundantly restating the theory or equations already detailed in the referenced publication.</p>
The shielding properties of textile FSS - simulations and results
<p>The data collection includes data from measurements and simulations of the S21 parameter, which determines the shielding properties of textile and foil based Frequency Selective Surface - FSS. The results of the work related to the attached data were published in Rac-Rumijowska, O., Pokryszka, P., Rybicki, T., Suchorska-Woźniak, P., Woźniak, M., Kaczkowska, K., & Karbownik, I. (2024). Influence of Flexible and Textile Substrates on Frequency-Selective Surfaces (FSS). Sensors, 24(5), 1704.</p>
Data from: Biomechanical properties of non-flight vibrations produced by bees
<p>Bees use thoracic vibrations produced by their indirect flight muscles for powering wingbeats in flight, but also during mating, pollination, defence, and nest building. Previous work on non-flight vibrations has mostly focused on acoustic (airborne vibrations) and spectral properties (frequency domain). However, mechanical properties such as the vibration's acceleration amplitude are important in some behaviours, e.g., during buzz pollination, where higher amplitude vibrations remove more pollen from flowers. Bee vibrations have been studied in only a handful of species and we know very little about how they vary among species. Here, we conduct the largest survey to date of the biomechanical properties of non-flight bee buzzes. We focus on defence buzzes as they can be induced experimentally and provide a common currency to compare among taxa. We analysed 15,000 buzzes produced by 306 individuals in 65 species and six families from Mexico, Scotland, and Australia. We found a strong association between body size and the acceleration amplitude of bee buzzes. Comparison of genera that buzz-pollinate and those that do not suggests that buzz-pollinating bees produce vibrations with higher acceleration amplitude. We found no relationship between bee size and the fundamental frequency of defence buzzes. Although our results suggest that body size is a major determinant of the amplitude of non-flight vibrations, we also observed considerable variation in vibration properties among bees of equivalent size and even within individuals. Both morphology and behaviour thus affect the biomechanical properties of non-flight buzzes.</p>
Fig. 4 in Bactericidal properties of mangrove Bruguiera cylindrica (L.) Blume leaf and Rhizophora mucronata Poir. stilt root extracts on Vibrio cholera, MTCC 435 and Escherichia coli pathogens
Fig. 4 — Percentage viability of HeLa cells with different mangrove extracts. Values are mean of triplicate reading (mean±SD)
Fig. 3 in Bactericidal properties of mangrove Bruguiera cylindrica (L.) Blume leaf and Rhizophora mucronata Poir. stilt root extracts on Vibrio cholera, MTCC 435 and Escherichia coli pathogens
Fig. 3 — SEM images of mangrove extracts with treated and un-treated bacterial cells: (a) Un-treated; (b) MTCC 435 treated with R. mucronata acetone stilt root extract; (c) MTCC 435 treated with B. cylindrica acetone leaf extract; (d) Un-treated Escherichia coli; (e) Escherichia coli treated with R. mucronata acetone stilt root extract; (f) Escherichia coli treated with B. cylindrica ethyl acetate leaf extract; (g) Un-treated Vibrio cholera; and (h) Vibrio cholerae treated with R. mucronata acetone stilt root extract
Fig. 2 in Bactericidal properties of mangrove Bruguiera cylindrica (L.) Blume leaf and Rhizophora mucronata Poir. stilt root extracts on Vibrio cholera, MTCC 435 and Escherichia coli pathogens
Fig. 2 — Viable count analysis of the bacterial pathogens - I: Collected solvent extract; II: Control plates [a) MTCC 435, g) E. coli, m) V. cholerae; b, h & n: Tetracycline (40 µg.ml-1) treated plates - (b) MTCC 435, h) E. coli, and n) V. cholerae); c, e, i, k & o: X- MBC concentration treated plates - (c) MTCC 435 with R. mucronata acetone stilt root extract, e) MTCC 435 with B. cylindrica acetone leaf extract, i) E. coli with R. mucronata acetone stilt root extract, k) E. coli with B. cylindrica acetone leaf extract, and o) V. cholerae with B. cylindrica ethyl acetate leaf extract); d, f, j, l & p: 2X-MBC concentration treated plates - (d) MTCC 435 with R. mucronata acetone stilt root extract, f) MTCC 435 with B. cylindrica acetone leaf extract, j) E. coli with R. mucronata acetone stilt root extract, l) E. coli with B. cylindrica acetone leaf extract, and p) V. cholerae with B. cylindrica ethyl acetate leaf extract)]
Fig. 1 in Bactericidal properties of mangrove Bruguiera cylindrica (L.) Blume leaf and Rhizophora mucronata Poir. stilt root extracts on Vibrio cholera, MTCC 435 and Escherichia coli pathogens
Fig. 1 — Effect of various extracts on growth pattern of clinical pathogens: a) R. mucronata acetone stilt root extract with MTCC 435; b) B. cylindrica acetone leaf extract with MTCC 435; c) R. mucronata acetone stilt root extract with E. coli; d) B. cylindrica acetone leaf extract with E. coli; and e) B. cylindrica ethyl acetate leaf extract with V. cholera
Growth, nutrient uptake, blood metabolites and bone properties in broilers consuming feed with mineral-enriched whole black soldier fly larvae
<p>Recycling critical minerals like phosphorus is essential for future circular agriculture. This study explored adding mineral-enriched black soldier fly larvae (BSFL), grown on substrates with sewage sludge recyclates (SSR), to broiler feed to reintroduce minerals from restricted waste streams into the nutrient cycle. Results showed that including 15% mineral-enriched BSFL in broiler diets for 42 days had no adverse effects on growth, nutrient intake, or bone condition, and maintained acceptable levels of heavy metals.</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.