Find research datasets worth reusing

opencc-by-4.0Mar 2024View details →

Fig. 1 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 1. Lectotype of Lycopodium cryptomerinum Maxim. (LE 01009938; KPM-NX0001851).

opencc-by-4.0Sep 2018View details →

Fig. 2 in Assessment of barrier materials to protect plants from Florida leatherleaf slug (Mollusca: Gastropoda: Veronicellidae)

Fig. 2. Microscopic views (40×) of (A) diatomaceous earth, and (B) fumed silica.

Supplementary XRD Material for "Experimental Constraints on Barium Isotope Fractionation during Adsorption-Desorption Reactions: Implications for Weathering and Erosion Tracer Applications"

Repository Overview: Supplementary powder X-ray diffraction (XRD) data for the study "Experimental Constraints on Barium Isotope Fractionation during Adsorption-Desorption Reactions: Implications for Weathering and Erosion Tracer Applications" Data Provided: Powder X-ray diffractograms of the minerals used in the laboratory batch experiments. Pow Minerals Analysed: Clay Minerals: <ul> <li>Kaolinite (KGa-2): purchased from the Clay Minerals Society (CMS).</li> <li>Montmorillonite (SWy-2): purchased from the Clay Minerals Society (CMS).</li> </ul> Iron Oxyhydroxide Minerals: <ul> <li>Goethite synthesised under alkaline conditions in the laboratories at the Department of Earth Sciences, University of Cambridge, following the method detailed in Schwertmann and Cornell (2008).</li> <li>2-line ferriydrite synthesised in the laboratories at the Department of Earth Sciences, University of Cambridge, following the method detailed in Schwertmann and Cornell (2008) methods.</li> </ul> XRD Methods: <ul> <li>Instrument and Set Up: Theta-Theta D8 Bruker Advance diffractometer with a Mo anode, Lynxeye XE-T PSD detector and 2 mm divergent slit.</li> <li>Sample Preparation: Zero-background monocrystalline silicon plate was used to minimize sample mass. The X-ray diffractogram of the silicon plate was measured prior to each sample measurement.</li> <li>Clay Minerals: 0.02° step size and a 3s step rate.</li> <li>Iron Oxyhydroxide Minerals: 0.03° increments and a 1s step rate.</li> </ul> Purpose of XRD Analyses: <ul> <li>To verify the correct synthesis of iron oxyhydroxide phases and to detect impurities.</li> <li>To monitor any mineralogical changes that occurred during adsorption-desorption reactions with water.</li> </ul> Data Format <table> <tbody> <tr> <td>Column Name</td> <td>Description</td> <td>Unit</td> </tr> <tr> <td>twotheta</td> <td>2θ</td> <td>°</td> </tr> <tr> <td>intensity</td> <td>intensity</td> <td>counts per second (cps)</td> </tr> <tr> <td>ID</td> <td>mineral ID</td> <td>unitless</td> </tr> <tr> <td>mineral</td> <td>mineral name</td> <td>unitless</td> </tr> <tr> <td>duration</td> <td>reaction duration</td> <td>minutes</td> </tr> </tbody> </table> Extra Notes A reaction duration of zero minutes corresponds to an unreacted mineral sample.

Supplementary material of ALMA-IMF XV (Louvet et al. 2024)

We show the supplementary material of the ALMA-IMF XV article, accepted by A&A on the 24th of July and accessible on arXiv with the identifier 2407.18719

Supplementary material

Supplementary figures and data for Assessing mathematical models of the transition to lockdown in the United States

Experimental raw data sets associated with certified reference material BAM-P115 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)

These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277. The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin. It is recommended to use the following requirements for the molecular cross-sectional area: Nitrogen: 0.1620 nm² Argon: 0.1420 nm² Expected specific surface area for nitrogen (BET): 140 to 154 m²/g Expected specific surface area for argon (BET): 129 to 135 m²/g Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material. The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon. These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.

Experimental raw data sets associated with certified reference material BAM-P114 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)

These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277. The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin. It is recommended to use the following requirements for the molecular cross-sectional area: Nitrogen: 0.1620 nm² Argon: 0.1420 nm² Expected specific surface area for nitrogen (BET): 24 to 25 m²/g Expected specific surface area for argon (BET): 20 m²/g Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material. The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon. These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.

Supplementary materials - Exploring a Framework for Assessing the Socio-Ecological Performance of Systems Design

Supplementary materials for the paper presented for the Cirp LCE Conference 2025: Exploring a Framework for Assessing the Socio-Ecological Performance of Systems Design

Supplementary Material to SBIE 2024:Achieving Project Management Educational Web-Tool Evolution Using Service-based Software

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →

Characterization of extended defects in 2D materials using aperture-based dark-field STEM in SEM

This is the raw data for the manuscript: Characterization of extended defects in 2D materials using aperture-based dark-field STEM in SEM   A readme file containing all descriptions can be found in the main folder.    Abstract: Quantitative diffraction contrast analysis with defined diffraction vectors is a wellestablished method in TEM for studying defects in crystalline materials. A comparable transmission techniques is however not available in the more widely used SEM platforms. In this work, we transfer the aperture-based dark-field imaging method from the TEM to the SEM, thus enabling quantitative diffraction contrast studies at lower voltages in SEM. This is achieved in STEM mode by inserting a custom-made aperture between the sample and the STEM detector and centering the hole on a desired reflection. To select individual reflections for dark-field imaging, we use our Low Energy Nanodiffraction (LEND) setup [Schweizer et al., Ultramicroscopy 213, 112956 (2020)], which captures transmission diffraction patterns from a fluorescent screen positioned below the sample. The aperture-based dark-field STEM method is particularly useful for studying extended defects in 2D materials, where (i) stronger diffraction at the lower voltages used in SEM is advantageous, but at the same time (ii) two-beam conditions cannot be established, making quantitative diffraction contrast analysis with standard bright-field and annular dark-field detectors impossible. We demonstrate the method by studying basal plane dislocations in bilayer graphene, which have attracted considerable research interest due to their exceptional structural and electronic properties. Direct comparison of results obtained on identical dislocations by the established TEM method and by the new aperture-based dark-field STEM method in SEM shows that a reliable Burgers vector analysis is possible by  applying the wellknown g·b=0 invisibility criterion. We further use the LEND setup to acquire 4D-STEM data and show that the virtual dark-field images match well with those in aperturebased dark-field STEM images for reliable Burgers vector analysis.

opencc-by-4.0May 2024View details →

Bioplastics and Carbon-Based Sustainable Materials, Components, and Devices: Toward Green Electronics

This dataset contains the measurement data for figures (graphs) published in journal article: Bioplastics and Carbon-Based Sustainable Materials, Components, and Devices: Toward Green Electronics by Éva Bozó, Henri Ervasti, Niina Halonen, Seyed Hossein Hosseini Shokouh, Jarkko Tolvanen, Olli Pitkänen, Topias Järvinen, Petra S. Pálvölgyi, Ákos Szamosvölgyi, András Sápi, Zoltan Konya, Marta Zaccone, Luana Montalbano, Laurens De Brauwer, Rakesh Nair, Vanesa Martínez-Nogués, Leire San Vicente Laurent, Thomas Dietrich, Laura Fernández de Castro, and Krisztian Kordas  https://doi.org/10.1021/acsami.1c13787

Schmid et al. 2014, Supplementary material and FEM meshes

Supplementary material to "Inference of alveolar capillary network connectivity from blood flow dynamics" Kerstin Schmid, Andy L. Olivares, Oscar Camara, Wolfgang M. Kuebler, Matthias Ochs, Andreas C. Hocke, and Sabine C. Fischer Content: <ul> <li>Supplementary material to the paper</li> <li>Four exemplary meshes for Ansys fluent for <ul> <li>two different randomly generated alveolar capillary networks (A1 and A2)</li> <li>with one arteriole (1a) and one venule (1v) each with diameter 20 µm </li> <li>as coarse (M) and as fine mesh (S).</li> </ul> </li> </ul> All other meshes used in the publication are available from sabine.fischer@uni-wuerzburg.de

Supporting material: Prospective life-cycle assessment of sustainable alternatives for road freight transport

This study investigates decarbonization pathways for the road freight transport sector by evaluating three alternatives to conventional diesel trucks: trucks powered by biofuels, battery electric trucks, and fuel cell trucks with hydrogen. A prospective life cycle assessment of these options is conducted under two policy scenarios for decarbonization across 12 distinct regions over the century. Employing a cradle-to-grave approach, the assessment covers activities from fuel and electricity production to the end-of-life of truck components. Findings reveal that, in eight of the 12 regions examined, an early transition to battery electric trucks could increase life-cycle greenhouse gas emissions by up to 70% by 2030 compared to the continued use of conventional diesel trucks, underscoring the significance of liquid fuels for short to medium-term decarbonization. However, in the long term, as electricity mixes and hydrogen production are decarbonized, battery electric trucks and hydrogen fuel cell trucks emerge as superior alternatives in all regions, emitting, at least, 29% less greenhouse gases than trucks powered by biofuels, and 45% less than diesel trucks. The optimal transition from conventional diesel trucks to trucks powered by biofuels and, subsequently, to battery electric trucks and/or hydrogen could avoid 134-204 Gt CO2-eq worldwide and prevent a temperature rise of 0.22-0.33°C compared to the diesel-based scenario. This emphasizes the crucial role of appropriate policies for the timely transformation of the road freight transport sector.

Deliverable D2.1 - Supplementary material : Datasets on the physicochemical properties of PFAS compounds

Additional information on deliverable D2.1. Data sets for Machine Learning models on physicochemical properties of PFAS compounds for endpoints: logP (n-octanol/water), Sw (solubility in water), VP (vapor pressure), BCF (bioconcentration factor), MP (melting point) developped within the project H2020 PROMISCES.

opencc-by-4.0Aug 2017View details →

FIGURE 1 in A revision of European Plesiosminthus (Rodentia, Dipodidae), and new material from the upper Oligocene of Teruel (Spain)

FIGURE 1. Terminology of molars. Figures represent left-hand molars.

opencc-by-4.0Jan 2024View details →

Training data for 'Beacon' tutorial (Galaxy Training Material)

The data files are from the 1000 Genomes Project (1000HG) and GDC database. These datasets will be utilized in the Galaxy training session titled "Working with Beacon V2: A Comprehensive Guide to Creating, Uploading, and Searching for Variants with Beacons and Querying the University of Bradford GDC Beacon Database for Copy Number Variants (CNVs)." This training aims to equip participants with the skills necessary to construct Beacons, prepare and transform data into Beacon-compatible formats, seamlessly import data, and proficiently query Beacons for genetic variants. The provided data sets are integral for hands-on practice and will guide users through working with Beacon V2.

Slip Opacity and Fast Osmotic Transport of Hydrophobes at Aqueous Interfaces with Two-Dimensional Materials, part 4/4

<h2>Supplementary data for paper "Slip Opacity and Fast Osmotic Transport of Hydrophobes at Aqueous Interfaces with Two-Dimensional Materials" </h2> Maria Bilichenko, Marcella Iannuzzi, and Gabriele Tocci, ACS Nano, 2024, DOI: 10.1021/acsnano.4c05118 <h3>Contents</h3> Trajectories of positions and forces  with corresponding input files of systems with 550 water molecules on 2D materials: <ul> <li>MoS2/water</li> <li>MoS2/MoS2/water</li> <li>graphene/MoS2/water</li> <li>MoS2/graphene/water</li> <li>MoS2/hBN/water</li> <li>hBN/MoS2/water</li> <li>graphene/water</li> <li>hBN/water</li> </ul>

Slip Opacity and Fast Osmotic Transport of Hydrophobes at Aqueous Interfaces with Two-Dimensional Materials, part 3/4

<h2>Supplementary data for paper "Slip Opacity and Fast Osmotic Transport of Hydrophobes at Aqueous Interfaces with Two-Dimensional Materials" </h2> Maria Bilichenko, Marcella Iannuzzi, and Gabriele Tocci, ACS Nano, 2024, DOI: 10.1021/acsnano.4c05118 <h3>Contents</h3> Trajectories of positions and forces  with corresponding input files of systems with 550 water molecules on 2D materials: <ul> <li>graphene/graphene/water</li> <li>hBN/hBN/water</li> <li>graphene/hBN/water</li> <li>hBN/graphene/water</li> </ul>

Slip Opacity and Fast Osmotic Transport of Hydrophobes at Aqueous Interfaces with Two-Dimensional Materials, part 1/4

<h2>Supplementary data for paper "Slip Opacity and Fast Osmotic Transport of Hydrophobes at Aqueous Interfaces with Two-Dimensional Materials" </h2> Maria Bilichenko, Marcella Iannuzzi, and Gabriele Tocci, ACS Nano, 2024, DOI: 10.1021/acsnano.4c05118 <h3>Contents</h3> Trajectories of positions and forces  with corresponding input files of systems with 120 water molecules confined between 2D materials: <ul> <li>graphene/water/graphene</li> <li>hBN/water/hBN</li> <li>graphene/graphene/water/graphene/graphene</li> <li>hBN/hBN/water/hBN/hBN</li> <li>graphene/hBN/water/hBN/graphene</li> <li>hBN/graphene/water/graphene/hBN</li> </ul>

Slip Opacity and Fast Osmotic Transport of Hydrophobes at Aqueous Interfaces with Two-Dimensional Materials, part 2/4

<h2>Supplementary data for paper "Slip Opacity and Fast Osmotic Transport of Hydrophobes at Aqueous Interfaces with Two-Dimensional Materials" </h2> Maria Bilichenko, Marcella Iannuzzi, and Gabriele Tocci, ACS Nano, 2024, DOI: 10.1021/acsnano.4c05118 <h3>Contents</h3> Trajectories of positions and forces  with corresponding input files of systems with 120 water molecules confined between 2D materials: <ul> <li>MoS2/water/MoS2</li> <li>MoS2/MoS2/water/MoS2/MoS2</li> <li>graphene/MoS2/water/MoS2/graphene</li> <li>MoS2/graphene/water/graphene/MoS2</li> </ul>