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FIGURE 7 in Revision of the types of male Sciaridae (Diptera) described from Australia by F. A. A. Skuse
FIGURE 7. Austrosciara spectabilis (Skuse, 1888). A. Hypopygium; B. Apex of gonostylus; C. Wing.
Morphology captures diet and locomotor types in rodents
<p>R Code and supporting data for Verde Arregoitia et al. Royal Society Open Science</p>
Dataset 2: All wild type embryo phenotypes from lethal and sub-viable lines scored by DMDD to date (Nov 2016)
<p>The table lists the annotation data from wild type embryos that is the basis of the study. For every annotation the gene symbol, MGI_ID, allele symbol, DMDD_ID, MP term, ID and name is listed. In some cases the same MP term is listed more than once for a specific embryo (DMDD_ID), indicating the phenotypic abnormality was observed more than once in that embryo.</p>
Figure 9. - Type locality of Palaemonyuna sp. n. Lago Tupé beach, lower Rio Negro tributary, Manaus, Amazonas, Brazil (003°02'42"S, 060°15'10"W).
Figure 9. - Type locality of Palaemonyuna sp. n. Lago Tupé beach, lower Rio Negro tributary, Manaus, Amazonas, Brazil (003°02'42"S, 060°15'10"W).
Figure 6. - ATruncatoflabellummortenseni, USNM 97522, paratype, Philippines B Truncatoflabellumaustraliensis, paratype (including anthocaulus), USNM 96652, Western Australia C Truncatoflabellumcandeanum, neotype, including anthocaulus, USNM 81963, Albatross 5369, Philippines D Truncatoflabellumcompressum, upper figure, illustration of type from Lesson (1827); other views from Challenger 190, BM 1880.11.25.78. Scale bars: all 10 mm.
Figure 6. - ATruncatoflabellummortenseni, USNM 97522, paratype, Philippines B Truncatoflabellumaustraliensis, paratype (including anthocaulus), USNM 96652, Western Australia C Truncatoflabellumcandeanum, neotype, including anthocaulus, USNM 81963, Albatross 5369, Philippines D Truncatoflabellumcompressum, upper figure, illustration of type from Lesson (1827); other views from Challenger 190, BM 1880.11.25.78. Scale bars: all 10 mm.
Figure 6. - Ovipositor of the Japanese Epicephala species. A, Epicephalaanthophilia (paratype, slide No. AK250) B Epicephalabipollenella (slide No. AK281) C Epicephalalanceolatella (non-type, slide No. AK251) D Epicephalaperplexa (paratype, slide No. AK253) E Epicephalaobovatella (non-type, slide No. AK246) F Epicephalacorruptrix (paratype, slide No. AK262) G Epicephalavitisidaea (slide No. AK239) H Epicephalaparasitica (non-type, slide No. AK239) I Epicephalanudilingua (paratype, slide No. AK296). Scale bar 0.1 mm.
Figure 6. - Ovipositor of the Japanese Epicephala species. A, Epicephalaanthophilia (paratype, slide No. AK250) B Epicephalabipollenella (slide No. AK281) C Epicephalalanceolatella (non-type, slide No. AK251) D Epicephalaperplexa (paratype, slide No. AK253) E Epicephalaobovatella (non-type, slide No. AK246) F Epicephalacorruptrix (paratype, slide No. AK262) G Epicephalavitisidaea (slide No. AK239) H Epicephalaparasitica (non-type, slide No. AK239) I Epicephalanudilingua (paratype, slide No. AK296). Scale bar 0.1 mm.
Figure 3. - Aedeagus of the Japanese Epicephala species. A Epicephalaanthophilia (paratype, slide No. AK249), lateral view B Epicephalabipollenella (slide No. AK258), lateral view C Epicephalalanceolatella, lateral (left; non-type, slide No. AK270) and dorsal (right; non-type, slide No. AK271) view D Epicephalaperplexa (paratype, slide No. AK272), lateral view E Epicephalaobovatella (non-type, slide No. AK245), lateral view F Epicephalacorruptrix (paratype, slide No. AK260), lateral view G Epicephalavitisidaea (slide No. AK234), lateral view H Epicephalaparasitica (non-type, slide No. AK290), lateral view I Epicephalanudilingua (paratype, slide No. AK292), ventral view. Scale bar: 0.5 mm.
Figure 3. - Aedeagus of the Japanese Epicephala species. A Epicephalaanthophilia (paratype, slide No. AK249), lateral view B Epicephalabipollenella (slide No. AK258), lateral view C Epicephalalanceolatella, lateral (left; non-type, slide No. AK270) and dorsal (right; non-type, slide No. AK271) view D Epicephalaperplexa (paratype, slide No. AK272), lateral view E Epicephalaobovatella (non-type, slide No. AK245), lateral view F Epicephalacorruptrix (paratype, slide No. AK260), lateral view G Epicephalavitisidaea (slide No. AK234), lateral view H Epicephalaparasitica (non-type, slide No. AK290), lateral view I Epicephalanudilingua (paratype, slide No. AK292), ventral view. Scale bar: 0.5 mm.
Figure 5. - Apophyses and eighth abdominal segment of the Japanese Epicephala species. A Epicephalaanthophilia (paratype, slide No. AK250) B Epicephalabipollenella (slide No. AK281) C Epicephalalanceolatella (non-type, slide No. AK251) D Epicephalaperplexa (paratype, slide No. AK253) E Epicephalaobovatella (non-type, slide No. AK246) F Epicephalacorruptrix (paratype, slide No. AK262) G Epicephalavitisidaea (slide No. AK239) H Epicephalaparasitica (non-type, slide No. AK239) I Epicephalanudilingua (paratype, slide No. AK296). Scale bar: 1 mm.
Figure 5. - Apophyses and eighth abdominal segment of the Japanese Epicephala species. A Epicephalaanthophilia (paratype, slide No. AK250) B Epicephalabipollenella (slide No. AK281) C Epicephalalanceolatella (non-type, slide No. AK251) D Epicephalaperplexa (paratype, slide No. AK253) E Epicephalaobovatella (non-type, slide No. AK246) F Epicephalacorruptrix (paratype, slide No. AK262) G Epicephalavitisidaea (slide No. AK239) H Epicephalaparasitica (non-type, slide No. AK239) I Epicephalanudilingua (paratype, slide No. AK296). Scale bar: 1 mm.
Figure 2. - Valva of the Japanese Epicephala species. A Epicephalaanthophilia (paratype, slide No. AK249) B Epicephalabipollenella (slide No. AK258) C Epicephalalanceolatella (non-type, slide No. AK270) D Epicephalaperplexa (paratype, slide No. AK272) E Epicephalaobovatella (non-type, slide No. AK245) F Epicephalacorruptrix (paratype, slide No. AK260) G Epicephalavitisidaea (slide No. AK234); H, Epicephalaparasitica (non-type, slide No. AK290) I Epicephalanudilingua (paratype, slide No. AK292). Scale bar: 1 mm.
Figure 2. - Valva of the Japanese Epicephala species. A Epicephalaanthophilia (paratype, slide No. AK249) B Epicephalabipollenella (slide No. AK258) C Epicephalalanceolatella (non-type, slide No. AK270) D Epicephalaperplexa (paratype, slide No. AK272) E Epicephalaobovatella (non-type, slide No. AK245) F Epicephalacorruptrix (paratype, slide No. AK260) G Epicephalavitisidaea (slide No. AK234); H, Epicephalaparasitica (non-type, slide No. AK290) I Epicephalanudilingua (paratype, slide No. AK292). Scale bar: 1 mm.
Figure 7. - Section of the female proboscis of the Japanese Epicephala species. All photographs were taken from non-type specimens. A Epicephalaanthophilia (slide No. AK303) B Epicephalabipollenella (slide No. AK298) C Epicephalalanceolatella (slide No. AK300) D Epicephalaperplexa (slide No. AK301) E Epicephalaobovatella (slide No. AK307) F Epicephalacorruptrix (slide No. AK304) G Epicephalavitisidaea (slide No. AK297) H Epicephalaparasitica (slide No. AK308), arrows indicate rudimentary sensilla I Epicephalanudilingua (slide No. AK309). lp, labial palp. Scale bar: 0.1 mm.
Figure 7. - Section of the female proboscis of the Japanese Epicephala species. All photographs were taken from non-type specimens. A Epicephalaanthophilia (slide No. AK303) B Epicephalabipollenella (slide No. AK298) C Epicephalalanceolatella (slide No. AK300) D Epicephalaperplexa (slide No. AK301) E Epicephalaobovatella (slide No. AK307) F Epicephalacorruptrix (slide No. AK304) G Epicephalavitisidaea (slide No. AK297) H Epicephalaparasitica (slide No. AK308), arrows indicate rudimentary sensilla I Epicephalanudilingua (slide No. AK309). lp, labial palp. Scale bar: 0.1 mm.
Figure 4. - Seventh abdominal segment and corpus and ductus bursae of the Japanese Epicephala species. A, Epicephalaanthophilia (paratype, slide No. AK250) B Epicephalabipollenella (slide No. AK281) C Epicephalalanceolatella (non-type, slide No. AK251) D Epicephalaperplexa (paratype, slide No. AK253) E Epicephalaobovatella (non-type, slide No. AK246) F Epicephalacorruptrix (paratype, slide No. AK262) G Epicephalavitisidaea (slide No. AK239) H Epicephalaparasitica (non-type, slide No. AK293) I Epicephalanudilingua (paratype, slide No. AK296). Scale bar: 1 mm.
Figure 4. - Seventh abdominal segment and corpus and ductus bursae of the Japanese Epicephala species. A, Epicephalaanthophilia (paratype, slide No. AK250) B Epicephalabipollenella (slide No. AK281) C Epicephalalanceolatella (non-type, slide No. AK251) D Epicephalaperplexa (paratype, slide No. AK253) E Epicephalaobovatella (non-type, slide No. AK246) F Epicephalacorruptrix (paratype, slide No. AK262) G Epicephalavitisidaea (slide No. AK239) H Epicephalaparasitica (non-type, slide No. AK293) I Epicephalanudilingua (paratype, slide No. AK296). Scale bar: 1 mm.
Catalogue of identified flood peaks from GRDC dataset (FLOOD TYPE experiment)
This dataset provides flood peaks identified from GRDC dataset for gaugung stations in Europe.
Low-Amplitude Textures Explored with the Bare Finger: Roughness Judgments Follow an Inverted U-Shaped Function of Texture Period Modified by Texture Type
<p>Roughness is probably the most salient dimension pertaining to the perception of textures by touch and has been widely investigated. There is a controversy on how roughness relates to the texture’s spatial period and which factors influence this relation. Here, roughness during bare finger exploration of coarse textures is studied for different types of textures with elements of low height (0.3 mm). Participants were presented with square-wave gratings that were defined along one dimension and sine-wave gratings that were defined along one or two dimensions. Textures of each type varied in their spatial half period between 0.25 and 5.17 mm. Participants explored the textures by a lateral movement or a stationary finger contact. In all conditions judged roughness increased with spatial period up to a peak roughness and then decreased again. The exact function depended on the texture type, but hardly on exploration mode. We conclude that roughness is an inverted U-shaped function of texture period, if the textures are of low amplitude. The effects are explained by the interplay of two components contributing to the spatial code to roughness: variability in skin deformation due to the finger’s intrusion into the texture, which increases with the textures’ period up to a maximum (when the skin contacts the texture’s ground), and variability associated with the spatial frequency of the deformation, which decreases with spatial period.</p> <p><strong>Drewing</strong>, K. (2016). Low-Amplitude Textures Explored with the Bare Finger: Roughness Judgments Follow an Inverted U-Shaped Function of Texture Period Modified by Texture Type. <em>Haptics: Perception, Devices, Control, and Applications </em>(pp. 206-217). Springer: Heidelberg.</p> <p> </p> <p>The file DataPerTrialAndVp_Zenodo.txt contains all data relative to the publication.</p> <p>A description of the variables is contained in the file VARIABLE_CODES.txt</p>
Hypermethylation of HOOK2 gene and its relation with Type 2 diabetes susceptibility in individuals with obesity
<p>Failure in glucose response to insulin is a common pathology associated with obesity. In this study, we analyzed the genome wide DNA methylation profile of visceral adipose tissue samples in a population of individuals with obesity and assessed whether differential methylation profiles are associated with the presence of type 2 diabetes (T2D).</p> <p>More than 485,000 CpG genome sites from visceral adipose tissue samples from women with obesity undergoing gastric bypass (n=18), and classified as suffering from type 2 diabetes or not (no type 2 diabetes, NT2D), were analyzed using DNA methylation arrays.</p>
Supplementary data for ENACT: End-to-End Analysis and Cell Type Annotation for Visium High Definition (HD) Slides
<p>This project contains the datasets used to evaluate and reproduce the results of ENACT (End-to-End Analysis and Cell Type<br>Annotation for Visium HD Slides). The dataset consists of:</p> <ul> <li>a sample Visium HD sample of human colorectal cancer, courtesy of 10X Genomics (<a href="https://www.10xgenomics.com/datasets/visium-hd-cytassist-gene-expression-libraries-of-human-crc">Visium HD Spatial Gene Expression Library, Human Colorectal Cancer (FFPE) - 10x Genomics</a>). All credit goes to 10X Genomics.</li> <li>configuration files to be used to reproduce the results provided in the ENACT publication, </li> <li>evaluation plots used in the ENACT publication, and</li> <li>results obtained after running ENACT on the human colorectal cancer sample using the four bin-to-cell assignment methods (naive, weighted_by_area, weighted_by_transcript, and weighted_by_cluster) and the three cell annotation methods (Sargent, CellAssign, CellTypist)</li> </ul> <p>Additionally, results from running ENACT on the following three public VisiumHD samples are provided to showcase ENACT’s tissue-agnostic nature:</p> <div> <div> <div> <ul> <li> <p><a href="https://www.10xgenomics.com/datasets/visium-hd-cytassist-gene-expression-human-lung-cancer-post-xenium-expt">Human Lung FFPE</a> sample from a subject with Adenocarcinoma (age and gender unspecified),</p> </li> <li> <p><a href="https://www.10xgenomics.com/datasets/visium-hd-cytassist-gene-expression-human-tonsil-fresh-frozen">Human Tonsil Fresh Frozen</a> sample from a 21 year old male subject with Reactive Follicular Hyperplasia,</p> </li> <li> <p><a href="https://www.10xgenomics.com/datasets/visium-hd-cytassist-gene-expression-human-breast-cancer-fresh-frozen">Human Breast Fresh Frozen</a> sample from a 58 year old female subject with Ductal Carcinoma in Situ (DCIS).</p> </li> </ul> </div> </div> </div> <p> </p>
MESA model files, scripts, and opacity tables for: 'An Expanded Set of Los Alamos OPLIB Tables in MESA: Type-1 Rosseland-mean Opacities and Solar Models'
<p>MESA model files and plotting scripts, and opacity tables as seen in 'An Expanded Set of Los Alamos OPLIB Tables in MESA: Type-1 Rosseland-mean Opacities and Solar Models'. <br><a href="https://iopscience.iop.org/article/10.3847/1538-4357/ad4355" target="_blank" rel="noopener noreferrer">https://iopscience.iop.org/article/10.3847/1538-4357/ad4355</a><br><br>Models were run using MESA version r22.11.1, with fixes to the bugs documented at https://docs.mesastar.org/en/release-r24.03.1/known_bugs.html#r22-11-1.</p> <p>We use mesasdk-x86_64-linux-22.6.1.tar.gz sdk available at http://user.astro.wisc.edu/~townsend/resource/download/mesasdk<br><br><strong>OPLIB type-1 opacity tables are now available here, in MESA release version r24.08.1+, and at http://aphysics2.lanl.gov/opacity/lanl.</strong><br><br><strong>The splined tables are on a uniform grid whereas the raw tables are not. The splined tables also replaces nan edge values (at high temperatures) using interpolation. Modify the python spline script if you'd like to spline the opacities onto a different size grid.</strong> <br><br>*(In future solar modeling work, we recommend users use 'rmid' (cell centered radius in Rsun) instead of 'radius' (cell edge/face radius in Rsun) as all structural variables are typically defined at the cell center. Look into $MESA_DIR/star/defaults/profile_columns.list and ensure you are always consistently using cell centered or cell-faced variables with each other.)*</p>
The Sonora Substellar Atmosphere Models. IV. Elf Owl: Atmospheric Mixing and Chemical Disequilibrium with Varying Metallicity and C/O Ratios (Y- type Models)
<ul> <li><strong>Overview of V2: "The Sonora Substellar Atmosphere Models. V: A Correction to the Disequilibrium Abundance of CO2 for Sonora Elf Owl"</strong></li> </ul> <p> Version 2 of the Sonora Elf Owl Models updates the CO2 and PH3 abundances and spectra. As described in the Wogan et al. (2024) research note (URL OF NOTE GOES HERE), Version 1 of the models did not apply the CO2 quench approximation properly resulting in predicted CO2 abundances that were too small by several orders of magintude in some cases. Version 2 fixes this mistake, updating CO2 abundances and the emission spectra to reflect the new CO2 abundances. Version 2 also removes all spectra contributions of PH3 because Version 1 consistently contained too much PH3 absorption when compared to JWST data (Veiler et al. 2024, <a href="http://doi.org/10.3847/1538-4357/ad6759" target="_blank" rel="noopener noreferrer">http://doi.org/10.3847/1538-4357/ad6759</a>).</p> <ul> <li><strong>Overview of V1</strong></li> </ul> <p> The Sonora Elf Owl Models is a successor to the <a href="../records/5063476#:~:text=This%20particular%20set%20of%20model,g%20are%200.25%20or%200.5.">Sonora Bobcat</a> and <a href="../records/4450269">Sonora Cholla</a> models. The Sonora Elf Owl model grid includes cloud-free radiative-convective equilibrium model atmospheres with vertical mixing induced disequilibrium chemistry with sub-solar to super-solar atmospheric metallicities and Carbon-to-Oxygen ratio. The atmospheric models have been computed using the open-source radiative-convective equilibrium model <a href="https://natashabatalha.github.io/picaso/">PICASO</a>. The parameters included within this grid are effective temperature (<strong><em>Teff</em></strong>), gravity (<strong><em>log(g)</em></strong>), vertical eddy diffusion coefficient (<strong><em>log(Kzz)</em></strong>), atmospheric metallicity (<strong><em>[M/H]</em></strong>), and Carbon-to-Oxygen ratio (<strong><em>C/O</em></strong>).</p> <p>The ranges and increments of these parameters are described in the published paper.<br><br></p> <ul> <li><strong>Three grids available on three links</strong></li> </ul> <p><strong> The model grid has been presented using three Zenodo repositories. This repository has all the models between Teff of 275 to 550 K (applicable to Y-type objects). The models for Teff between 575 to 1200 K (applicable for T- type objects) are available in the Zenodo DOI :- <a href="../records/10385821">https://zenodo.org/records/10385821</a>. The models for Teff between 1300 to 2400 K (applicable for L- type objects) are available in the Zenodo DOI :- <a href="../records/10385987">https://zenodo.org/records/10385987</a>.</strong></p> <p> </p> <ul> <li><strong> File types and how to use them</strong></li> </ul> <p> The models have been presented in the Xarray format so that all the atmospheric properties including the T(P) profile, atmospheric chemistry, and thermal emission spectra can be accessed within the same files. A python based Jupyter notebook named "Reading and plotting Elf Owl Models.ipynb" has been also supplied which demonstrates how to open and use these files.</p> <ul> <li> <strong>Spectra</strong></li> </ul> <p> The emission spectra for each atmospheric model has been computed between 0.6 to 15 microns. The reported flux is in the units of erg/s/cm<sup>2</sup>/cm. Note that these fluxes need to be multiplied with R<sup>2</sup>/D<sup>2</sup> before comparing them with the typically observed flux of brown dwarfs/exoplanets. R is the radius of the object, and D is the distance here.</p> <div> </div> <div> <ul> <li><strong>Note on CH4</strong></li> </ul> </div> <p> As stated in <a href="https://ui.adsabs.harvard.edu/abs/2023ApJ...942...71M/abstract">Mukherjee et al. 2023 </a>our CH4 opacity is derived using the <a href="https://iopscience.iop.org/article/10.3847/1538-4365/ab7a1a">Hargreaves et al. 2020</a> HITEMP line list and computed using the HAPI code (<a href="https://www.sciencedirect.com/science/article/abs/pii/S0022407315302466">Kochanov et al. 2016</a>). HAPI automatically pre-weights the isotopologues according to earth abundances that are listed on the HITRAN website (<a href="https://hitran.org/lbl/2?6=on" target="_blank" rel="noopener noreferrer">see here for CH4</a>). Therefore, users should note that there will be minor features of CH3D included in the models. Given the general absence of deuterated molecules in brown dwarfs (Teff>~300) we will include a second posting of models which includes the Elf Owl grid with <strong>only</strong> the major CH4 isotopologue (12C-H4).</p> <div> <ul> <li><strong>Note on PH3</strong></li> </ul> </div> <p> PH3 abundance is treated separately from the general disequilibrium scheme. This is because of the current non-detection of PH3 in many brown dwarf atmospheres (see citations in paper). The current PH3 treatment uses the chemical equilibrium treatment described in Visscher et al. However, after publishing this grid and using the model for analysis of high precision JWST data, we noticed that even the simple chemical equilibrium treatment which reduces the abundance, introduces a noticeable PH3 feature. Therefore in our v2 of this model grid we will further diminish the abundance.</p>
Data for testing the assumption of fractal scaling in canopy surfaces across a diverse range of forest types
<p>This is a collection of scripts and research data for a study on whether canopy surfaces follow fractal scaling laws across a diverse range of forest types. The article citation is: <span>Fischer, F. J.</span>, & <span>Jucker, T.</span> (<span>2024</span>). <span>No evidence for fractal scaling in canopy surfaces across a diverse range of forest types</span>. <em>Journal of Ecology</em>, <span>112</span>, <span>470</span>–<span>486</span>. <a href="https://doi.org/10.1111/1365-2745.14244">https://doi.org/10.1111/1365-2745.14244</a>.</p> <p>As data, we use canopy height models (CHMs) from 9 Australian research sites belonging to the Terrestrial Ecosystem Research Network (TERN). Their extent is 5 km x 5 km throughout. The underlying data can be found here: https://portal.tern.org.au/metadata/TERN/4ff0b4c9-cfa0-4d09-9520-b5402adc583f. Climatic data are extracted from the CHELSA climatology 1981-2010 (Brun et al. 2022: Global climate-related predictors at kilometer resolution for the past and future. Earth System Science Data, 14(12), 5573–5603. https://doi.org/10.5194/essd-14-5573-2022; Karger et al. 2017: Climatologies at high resolution for the earth's land surface areas. Scientific Data, 4(1), 170122. https://doi.org/10.1038/sdata.2017.122).</p> <p>Each uploaded zip-file corresponds to a folder within a common repository. To reproduce our analysis, unpack into the same folder, upholding naming conventions and overall structure. Please note that some parts of the analysis require external software, e.g., GRASS GIS for the generation of simulated fractal surfaces. Paths need to be reset accordingly. </p> <p><strong>rscripts.zip:</strong> </p> <ul> <li>the overall R script ("areforestsfractals_v3.R") used to generate fractal surfaces, calculate fractal statistics from CHMs and simulated surfaces, and to carry out the analysis</li> <li>various summary statistics saved both as RData and csv files</li> </ul> <p><strong>TERN.zip:</strong></p> <ul> <li>data within this folder are ordered by site name</li> <li>for each site, we include several CHMs, their corresponding DSMs (digital surface models) and DTMs (digital terrain models), as well as ancillary layers (pulse densities of laser scans)</li> <li>for each site and each CHM/DSM, we also save the fractal scaling properties in separate csv files</li> </ul> <p><strong>TERNtrees.zip:</strong></p> <ul> <li>data within this folder are ordered by site name</li> <li>for each site, we include manual delineations of the largest trees per 1 km x 1 km square (25 in total)</li> <li>for each site, we include subplots of the CHM (200 m x 200 m) centred around the largest tree</li> </ul> <p><strong>climate.zip:</strong></p> <ul> <li>climate layers from CHELSA for precipitation and site water balance</li> </ul> <p><strong>terrain_fractal.zip:</strong></p> <ul> <li>simulated fractal surfaces, based on different generating algorithms</li> <li>fractal scaling properties of simulated fractal surfaces in separate csv files</li> </ul> <p><strong>sites_coordinates.csv</strong></p> <ul> <li>lon/lat coordinates of each site</li> </ul> <p> </p> <p> </p>
Effects of Type Ia Supernovae in young globular clusters
<p>Talk at Elba 23, conference in honor of Mike Rich</p>
Grid-type transparent conductive thin films of carbon nanotubes as capacitive touch sensors
<p>This dataset contains the measurement data for figures (graphs) published in journal article:</p><p>Grid-type transparent conductive thin films of carbon nanotubes as capacitive touch sensors</p><p>by Ronja Valasma, Eva Bozo, Olli Pitkänen, Topias Järvinen, Aron Dombovari, Melinda Mohl, Gabriela Simone Lorite, Janos Kiss, Zoltan Konya and Krisztian Kordas</p><p>Published 11 May 2020 • © 2020 The Author(s). Published by IOP Publishing Ltd</p><p>Nanotechnology, Volume 31, Number 30</p><p>Citation: Ronja Valasma et al 2020 Nanotechnology 31 305303</p><p>DOI 10.1088/1361-6528/ab8590</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.