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Figure 6 from: Montesanto G (2015) A fast GNU method to draw accurate scientific illustrations for taxonomy. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 191–206. https://doi.org/10.3897/zookeys.515.9459
Figure 6 - GNU Image Manipulation Program. A Portion of the "Export Image" window, showing the "Select File Type" menu with the settings for a TIFF image B "Export Image as TIFF" window, with the settings for LZW compression.
Figure 2 from: Montesanto G (2015) A fast GNU method to draw accurate scientific illustrations for taxonomy. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 191–206. https://doi.org/10.3897/zookeys.515.9459
Figure 2 - GNU Image Manipulation Program. A Preferences window, with the "Window Management" settings B "Import from PDF" window appears after a PDF file has been opened with the File > Open command of menu C New Layer window with the Layer Fill Type option set on "White" D Tool Options window of Brush Tool with the brush No. 2. Hardness 075, used in the present drawing method E Tool Options window (Brush Tool) with the brush size set on 5 pixels (5.00).
Figure 5 from: Montesanto G (2015) A fast GNU method to draw accurate scientific illustrations for taxonomy. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 191–206. https://doi.org/10.3897/zookeys.515.9459
Figure 5 - GNU Image Manipulation Program. A "Create a New Image" window with settings for a blank page in international A4 format B Layers window after a trace was pasted into a new image, the "Floating Selection" layer is showed C "Pasted Layer" on the same window after the "Floating Selection" was transformed in a new layer D Portion of the Toolbox window showing the tool icons (explanation in the text).
Figure 1 from: Montesanto G (2015) A fast GNU method to draw accurate scientific illustrations for taxonomy. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 191–206. https://doi.org/10.3897/zookeys.515.9459
Figure 1 - GNU Image Manipulation Program (GIMP, ver. 2.8.14) on a Mac OS. A Image window B Toolbox window C Tool Options window D Layers window E Foreground (black) and Background colours (white).
Figure 4 from: Montesanto G (2015) A fast GNU method to draw accurate scientific illustrations for taxonomy. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 191–206. https://doi.org/10.3897/zookeys.515.9459
Figure 4 - GNU Image Manipulation Program. A Toolbox window: Path Tool is marked with a black square B Tool Options window of Path Tool C Stroke Path windows with the settings for a "Medium dashed" line (3 px) D Portion of the Image window showing the result (at 400% zoom level) of the "Stroke Path" button.
Figure 3 from: Montesanto G (2015) A fast GNU method to draw accurate scientific illustrations for taxonomy. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 191–206. https://doi.org/10.3897/zookeys.515.9459
Figure 3 - How to draw lines with GNU Image Manipulation Program. A Left hand position: with Shift key pressed to draw little segments, space bar to move the screen visual along the drawing B Portion of the Image window (at 800% zoom level) showing the drawing guide-line C Right hand position with a common mouse.
Figure 7 from: Montesanto G (2015) A fast GNU method to draw accurate scientific illustrations for taxonomy. In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 191–206. https://doi.org/10.3897/zookeys.515.9459
Figure 7 - Examples of line drawings of terrestrial isopods anatomical parts. Magnifications in the black circles indicate the brush size (see also the "How to draw" section). A Antenna B Antennula C Cephalon (front view) D Pereopod 1 E Exopod of pleopod 4 F Uropod; dl, dotted lines (Commands: Paths Tool > Stroke Path in the Tool Options > Line style, Dash preset: Dense dots).
Customer Discrimination in the Fast Food Market
<p>This project studies customer discrimination against fictive male and female food truck owners with Arabic names on a Swedish University campus using a web-based experiment. Students were asked to participate in a market survey and state if they think it is a good idea to have a food truck establishment on the campus. Four names—one male Swede, one female Swede, one male Arab, and one female Arab—were randomly assigned to the food truck. We found no evidence of customer discrimination against food truck owners with Arabic names. The respondents were slightly more positive to a food truck establishment run by an Arabic male than by a Swedish male. Our results are representative in an environment with young and highly educated customers.</p>
BLEND: A Fast, Memory-Efficient, and Accurate Mechanism to Find Fuzzy Seed Matches in Genome Analysis (chm13-ont-pbsim2)
<p>Simulated 30X CHM13 ONT reads. PBSIM2 with R95 model is used to generate the reads.</p>
Fast Modelling of Vegetated Flow and Sediment Transport over Mobile Beds Using Shallow Water Equations with Anisotropic Porosity
<p>The data are the numerical solutions and errors in different cases by the present model.</p> <p> </p>
Dataset for the paper 'Probing for the host galaxies of the fast X-ray transients XRT 000519 and XRT 110103'
<p>This is a reproduction package for the paper 'Probing for the host galaxies of the fast X-ray transients XRT 000519 and XRT 110103'. Instructions are given in the readme file. Those are minimalistic instructions. Please get in touch with me (d.eappachen@sron.nl/deepakeappachen5@gmail.com) for more details.</p>
Dataset for Phys. Rev. Applied (2023) - Accelerating the heat diffusion: Fast thermal relaxation of a microcantilever
<p><strong>"Fig_step.fig"</strong>: Matlab figures including all the data used to plot figure 3 of the article.</p> <p><strong>"Fig_N1.fig "</strong>: Matlab figures including the data used to plot figure 4 for N=1.</p> <p><strong>"Fig_N2.fig "</strong>: Matlab figures including the data used to plot figure 4 for N=2.</p> <p><strong>"Fig_N3.fig "</strong>: Matlab figures including the data used to plot figure 4 for N=3.</p> <p><strong>"Fig_N4.fig "</strong>: Matlab figures including the data used to plot figure 4 for N=4.</p> <p><strong>"gamman.m "/ "gammansym.m "</strong>: Matlab scripts to compute coefficients gamma_n of the polynomial function F(t).</p> <p><strong>"DisplayData.m "</strong>: Matlab script to display the data of the .mat files 'Data_N1.mat', 'Data_N2.mat', 'Data_N3.mat', and 'Data_N4.mat'.</p> <p><strong>"Fig7a.fig" / "Fig7b.fig"</strong>: Matlab figures including the data used to plot figure 7 of the article</p> <p> </p>
Supplementary material 3 from: van Nieukerken EJ (2023) Stigmella naturnella (Klimesch, 1936) (Lepidoptera, Nepticulidae) a fast-spreading European leafminer of Betula, with a revised key to linear leafmines on Betula. Nota Lepidopterologica 46: 37-82. https://doi.org/10.3897/nl.46.99360
Synecology of Stigmella naturnella
Supplementary material 2 from: van Nieukerken EJ (2023) Stigmella naturnella (Klimesch, 1936) (Lepidoptera, Nepticulidae) a fast-spreading European leafminer of Betula, with a revised key to linear leafmines on Betula. Nota Lepidopterologica 46: 37-82. https://doi.org/10.3897/nl.46.99360
Measurements and counts Stigmella naturnella
Supplementary material 1 from: van Nieukerken EJ (2023) Stigmella naturnella (Klimesch, 1936) (Lepidoptera, Nepticulidae) a fast-spreading European leafminer of Betula, with a revised key to linear leafmines on Betula. Nota Lepidopterologica 46: 37-82. https://doi.org/10.3897/nl.46.99360
DNA barcoded specimens of Stigmella
Spin Diffusion under Fast Magic-Angle Spinning in Solid-State NMR
<p>Supporting data, scripts, and source code to go with the paper manuscript.</p>
Data for article "Solid-State NMR Spectra of Protons and Quadrupolar Nuclei at 28.2 T: Resolving Signatures of Surface Sites with Fast Magic Angle Spinning"
<p>Solid-state NMR data for article:</p> <p>Solid-State NMR Spectra of Protons and Quadrupolar Nuclei at 28.2 T: Resolving Signatures of Surface Sites with Fast Magic Angle Spinning</p> <p> Zachariah J. Berkson, Snædís Björgvinsdóttir, Alexander Yakimov, Domenico Gioffrè, Maciej D. Korzyński, Alexander B. Barnes, and Christophe Copéret</p> <p>https://doi.org/10.1021/jacsau.2c00510</p>
Multi-Spectral Reflection Matrix for Ultra-Fast 3D Label-Free Microscopy
<p>Optical data associated with the paper "Multi-Spectral Reflection Matrix for Ultra-Fast 3D Label-Free Microscopy<strong>". </strong></p> <p><br> </p>
A Study to Assess the Relative Bioavailability of 3 Different Formulations Under Fasted and Fed Condition
ClinicalTrials.gov study NCT04024501. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Losartan 100 mg Tablet in Healthy Subjects Under Non-Fasting Conditions
ClinicalTrials.gov study NCT01124175. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.