Find research datasets worth reusing

opencc-by-4.0Dec 2021View details →

Fig. 2 in Characterizations of five heterotrophic nanoflagellates newly recorded in Korea

Fig. 2. (A, B) General light micrographs and sketch of Aplanochytrium minuta (formerly Labyrinthuloides minuta) strain PH004. AF: anterior flagellum, PF: posterior flagellum, scale bar = 5 μm. All micrographs are differential interference contrast (DIC) images. (C) Maximum likelihood phylogenetic tree inferred from the 18S rDNA sequences of Labyrinthulomycetes (class) species including Aplanochytrium minuta strain PH004 and outgroup (Wobblia lunata and Placidia cafeteriopsis). Bootstrap support values (>80%) are shown at the nodes. Solid circles indicate a Bayesian posterior probability of 1 (posterior probability<0.95 not shown).

opencc-by-4.0Dec 2021View details →

Fig. 1 in Characterizations of five heterotrophic nanoflagellates newly recorded in Korea

Fig. 1. (A, B) General light micrographs and sketch of Cafeteria burkhardae strain PH003. AF: anterior flagellum, PF: posterior flagellum, CV: contractile vacuole, FV: food vacuole, scale bar = 5 μm. Arrowhead represents curved channel. All micrographs are differential interference contrast (DIC) images. (C, D) General light micrographs and sketch of Cafeteria graefeae strain UL001. (E) Maximum likelihood phylogenetic tree inferred from the 18S rDNA sequences of Cafeteria (genus) species including Cafeteria graefeae strain UL001 and Cafeteria burkhardae strain PH003 and outgroup (Paramonas globosa strain ATCC 50531 and Nerada mexicana strain ATCC 50535). Bootstrap support values (>70%) are shown at the nodes. Solid circles indicate a Bayesian posterior probability of 1 (posterior probability<0.95 not shown).

Fig. 4. Neighbor-joining phylogenetic tree reconstructed from a in Isolation and characterization of four unrecorded wild yeasts from the soils of Republic of Korea in winter

Fig. 4. Neighbor-joining phylogenetic tree reconstructed from a comparative analysis of 26S rRNA gene sequences showing the relationships of strain NH33 with closely related species. Bootstrap values (>50%) based on neighbor-joining methods are shown at the branch nodes. Bar, 0.01 substitutions per nucleotide position.

Fig. 1 in Isolation and characterization of four unrecorded wild yeasts from the soils of Republic of Korea in winter

Fig. 1. Morphology of cells from the unrecorded strains incubated at 10℃. The colonies of Leucosporidium scottii NH19 (A), Holtermanniella wattica NH20 (B), Buckleyzyma aurantiaca NH33 (C), and Mrakia aquatica YP416 (D). The budding cells of Leucosporidium scottii NH19 (F), Holtermanniella wattica NH20 (G), Buckleyzyma aurantiaca NH33 (H), and Mrakia aquatica YP416 (I). Bars, 20 μm. All strains were grown after 3 days on YM agar.

Fig. 3. Neighbor-joining phylogenetic tree reconstructed from a in Isolation and characterization of four unrecorded wild yeasts from the soils of Republic of Korea in winter

Fig. 3. Neighbor-joining phylogenetic tree reconstructed from a comparative analysis of 26S rRNA gene sequences showing the relationships of strain NH19 with closely related species. Bootstrap values (>50%) based on neighbor-joining methods are shown at the branch nodes. Bar, 0.01 substitutions per nucleotide position.

Fig. 2. Neighbor-joining phylogenetic tree reconstructed from a in Isolation and characterization of four unrecorded wild yeasts from the soils of Republic of Korea in winter

Fig. 2. Neighbor-joining phylogenetic tree reconstructed from a comparative analysis of 26S rRNA gene sequences showing the relationships of strains NH20 and YP416 with closely related species. Bootstrap values (>50%) based on neighbor-joining methods are shown at the branch nodes. Bar, 0.01 substitutions per nucleotide position.

Fig. 3. A neighbor-joining phylogenetic tree constructed from a in Isolation and characterization of two unrecorded yeast species in the phylum Basidiomycota

Fig. 3. A neighbor-joining phylogenetic tree constructed from a comparative analysis of 26S rRNA gene sequences showing the relationships of strain DJ1-5-B-10C with closely related species. Bootstrap values (>70%) are shown at the branch nodes. Bar, 0.02 substitutions per nucleotide position.

Fig. 2. A neighbor-joining phylogenetic tree constructed from a in Isolation and characterization of two unrecorded yeast species in the phylum Basidiomycota

Fig. 2. A neighbor-joining phylogenetic tree constructed from a comparative analysis of 26S rRNA gene sequences showing the relationships of strain B2UV-201 with closely related species. Bootstrap values (>70%) are shown at the branch nodes. Bar, 0.01 substitutions per nucleotide position.

Fig. 3. A Neighbor-joining phylogenetic tree reconstructed from a in Isolation and characterization of two unrecorded yeast species in the order Filobasidiales

Fig. 3. A Neighbor-joining phylogenetic tree reconstructed from a comparative analysis of 26S rRNA gene sequences showing the rela- tionships of strain PG1-1-10C with closely related species. Bootstrap values (>70%) based on neighbor-joining methods are shown at the branch nodes. Bar, 0.01 substitutions per nucleotide position.

Fig. 2. A Neighbor-joining phylogenetic tree reconstructed from a in Isolation and characterization of two unrecorded yeast species in the order Filobasidiales

Fig. 2. A Neighbor-joining phylogenetic tree reconstructed from a comparative analysis of 26S rRNA gene sequences showing the relation- ships of strains GW1-3 with closely related species. Bootstrap values (>70%) based on neighbor-joining methods are shown at the branch nodes. Bar, 0.01 substitutions per nucleotide position.

opencc-by-4.0Feb 2018View details →

Three dimensional characterization of nickel coarsening in solid oxide cells via ex-situ ptychographic nano-tomography

Three-dimensional dataset of a solid oxide cell (SOC) fuel electrode microstructure. Data were acquired using ptychographic X-ray computed tomography (PXCT).

opencc-by-4.0Apr 2018View details →

Characterization and Simulation Data of Cylindrical, Elliptical, Parabolic, Conical and Root-like Tips with Diameters in Sandy Loam Soil

Plants use many strategies to move efficiently in soil, such as growth from the tip, tropic movements, and morphological changes. In this paper, we propose a method to translate morphological features of Zea mays roots into a new design of soft robots that will be able to move in soil. The method relies on image processing and curve fitting techniques to extract the profile of Z. mays primary root. We implemented an analytic translation of the root profile in a 3D model (CAD) to fabricate root-like probes by means of 3D printing technology. Then, we carried out a comparative analysis among the artificial root-like probe and probes with different tip shapes (cylindrical, conical, elliptical, and parabolic) and diameters (11, 9, 7, 5, and 3 mm). The results showed that the energy consumption and the penetration force of the bioinspired probe are better with respect to the other shapes for all the diameters of the developed probes. For 100 mm of penetration depth and 7 mm of probe diameter, the energy consumption of the bioinspired probe is 89% lesser with respect to the cylindrical probe and 26% lesser with respect to the conical probe. The penetration performance of the considered tip shapes was evaluated also by means of numerical simulations, obtaining a good agreement with the experimental results. Additional investigations on plant root morphology, movement strategies, and material properties can allow the development of innovative bioinspired solutions exploitable in challenging environments. This research can bring to breakthrough scenarios in different fields, such as exploration tasks, environmental monitoring, geotechnical studies, and medical applications

opencc-by-4.0Apr 2018View details →

Deprecated Dataset for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"

This dataset is deprecated. The updated version of this Dataset is here: <a href="https://zenodo.org/record/3678559#.Xl9-Ji97FhE">https://zenodo.org/record/3678559#.Xl9-Ji97FhE</a> Dataset for the publication "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior". Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos and Nicolas Kourtellis. International AAAI Conference on Web and Social Media (ICWSM), 2018. The dataset provided here includes an updated version of the original dataset, with ~100k tweets annotated using the CrowdFlower platform: <ul> <li>hatespeech_labels.csv: contains ~100k rows, where every row consists of a unique Tweet ID and its associated majority annotation</li> </ul> UPDATE: It has come to our understanding that a number of the tweets are not available anymore for download on Twitter. Therefore, upon request, we can provide one more file with the full ~100k tweet text and their associated majority labels. The tweets are shuffled so that there is no connection between tweet IDs and texts (in order to be aligned with the T&C of Twitter). To obtain the file contact a.m.founta at gmail dot com AND antonis26papa at gmail dot com. Please cite the paper in any published work that uses any of these resources. <blockquote> @inproceedings{founta2018large,     title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},     author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},     booktitle={11th International Conference on Web and Social Media, ICWSM 2018},     year={2018},     organization={AAAI Press} } </blockquote> For any further questions contact a.m.founta at gmail dot com.   Publication DOI: <a href="https://doi.org/10.5281/zenodo.1443348">https://doi.org/10.5281/zenodo.1443348</a> Github: <a href="https://github.com/ENCASEH2020/hatespeech-twitter">https://github.com/ENCASEH2020/hatespeech-twitter</a>

opencc-by-4.0Jun 2018View details →

DS6.SSSA-02. Human_Walking_Dataset_at_SSSA. Dataset for characterizing the walking behavior of subjects and identification of changes in the motion patterns, based on RGB-D cameras.

This dataset is used for characterizing the wakling behavior of subjects. It is based on RGB-D camerasand obtained through data collection experiments at the premises of the Percro Labotory, TeCIP Intitute, Scuola Superiore Sant'Anna (Pisa, Italy). Data are collected for the gait patterns of 9 healthy participants.

opencc-by-sa-4.0Dec 2017View details →

Data and results for manuscript: "Imaging and functional characterization of crop root systems using spectroscopic electrical impedance measurements"

This package contains measured raw EIT data, electrical imaging results, spectral results from the Debye decomposition, and the Python scripts used to generate the plots in the manuscript titled: Imaging and functional characterization of crop root systems using spectroscopic electrical impedance measurement

opencc-by-4.0Oct 2018View details →

Data and results for manuscript "Small scale characterization of vine plant root water uptake via 3D electrical resistivity tomography and Mise-à-la-Masse method"

This package contains measured raw ERT and MALM data used to generate the plots in the manuscript.

opencc-by-4.0Aug 2018View details →

Dataset for: Thermal characterization of firebrand piles

This dataset presents raw experimental data from the work, “Thermal characterization of firebrand piles” by Raquel Hakes, Hamed Salehizadeh, Matthew Weston-Dawkes, and Michael J Gollner in the Fire Safety Journal. Small-scale experiments designed to capture heating from firebrand piles and to describe the process of ignition were conducted using laboratory-fabricated cylindrical wooden firebrands. Two heat flux measurement methods were compared, and the influences of firebrand diameter, pile mass, and wind on heating from firebrand piles were explored. Here you will find data separated by whether or not external wind is applied. "Ambient data" contains data for tests taken under ambient conditions, with no forced flow. "Wind data" contains data for tests taken under a 1.84 m/s forced flow. For both wind speeds (0 m/s and 1.84 m/s), data was taken with an array of 16 thin-skin calorimeters and a single water-cooled heat flux gauge. Additionally, you will find a schematic top-view of the thin-skin calorimeter array indicating the number assigned to individual thin-skins.

opencc-by-4.0Nov 2018View details →

Persistent Homology for Characterization of Fracture Patterns in Rocks

The data sets are for fracture characterizations of serpentinite by persistent homology.

opencc-by-4.0Aug 2018View details →

TEM holography characterization of the first element of the fan-out sorter

This dataset contains the phase reconstraction of the first element of an OAM sorter. The phase mask has be rialized in the fan-out configuration via FIB milling of a thin SiN membrane. The reconstruction is obtained via TEM holography experiments.