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TAASRAD19 Radar Scans 2017-2019
<p>TAASRAD19 (Trentino-Alto Adige/Südtirol Radar 2019) is a high-resolution radar reflectivity dataset collected by the Civil Protection weather radar of the Trentino South Tyrol Region, in the Italian Alps.<br> The dataset includes 894,916 scans of precipitation from more than 9 years of data, offering a novel resource to develop and benchmark analog ensemble models and machine learning solutions for precipitation nowcasting. Data are expressed as 2D images, considering the maximum reflectivity on the vertical section and 5 minutes sampling rate, covering an area of 240km of diameter at 500m horizontal resolution. The TAASRAD19 distribution also includes a curated set of 1,732 sequences, for a total of 362,233 radar images, labeled with precipitation type tags assigned by expert meteorologists. We validated TAASRAD19 as a benchmark for nowcasting using deep learning model to forecast reflectivity and a procedure based on the UMAP dimensionality reduction method for interactive exploration.<br> Software methods for data pre-processing, model training and inference, and a pre-trained model are<br> publicly available at https://github.com/MPBA/TAASRAD19 for replication and reproducibility.</p>
Fig. 14 in A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features
Fig. 14. Copionodon exotatos, holotype, MZUSP 120631, CT-scan image of posterior part of skull and Weberian capsule, dorsal view. Abbreviations: FR1, First Ray 1; CC, complex centrum; WC, Weberian capsule; VC, vertebrae centrum; PR, pleural ribs.
Fig. 15 in A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features
Fig. 15. Copionodon exotatos, holotype, MZUSP 120631, CT-scan images of left palatine and associated entopterygoid: a. dorsal view, b. ventral view, c. with entopterygoid removed. Abbreviations: PAL, palatine; EN, entopterygoid.
Fig. 13 in A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features
Fig. 13. Copionodon exotatos, holotype, MZUSP 120631, CT-scan image of opercle and interopercle, right side. Abbreviations: VOD, vestigial odontodes; OP, opercle; INT, interopercle. Lateral view.
Fig. 9 in A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features
Fig. 9. Copionodon exotatos, holotype, MZUSP 120631, CT-scan image of anterior portion of skull, dorsal view. Abbreviations: PMX, premaxilla; MX, maxilla; QUA, quadrate; PO, preopercle; ME, mesethmoid; AF, anterior fontanel; FR, frontal; DEN, dentary; PAL, palatine; AA, anguloarticular; LE, lateral ethmoid; HYO, hyomandibula.
Fig. 8 in A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features
Fig. 8. Collection site of Copionodon exotatos, right-hand branch of Riacho do Mosquito (trib. to rio Santo Antônio, rio Paraguaçu drainage), immediately upstream from Cachoeira do Mosquito (12º21'59.51"S, 41 ºS 22"19.37"W) at exit of rock-enclosed sector.
Fig. 5 in A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features
Fig. 5. Copionodon exotatos, paratype, MZUSP 121656, basibranchials and hypobranchials, dorsal view. Grey areas represent cartilage. Abbreviations: BB2-4, basibranchials 2 to 4; HB1-3, hypobranchials 1 to 3. Scale bar = 1 mm.
Fig. 4 in A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features
Fig. 4. Copionodon exotatos, paratype, MZUSP 121656, opercle and interopercle, right side, lateral view. Abbreviations: OPOD, opercular odontodes; OP, opercle; INT, interopercle. Scale bar = 1 mm.
Data from : Classifying wetland‐related land cover types and habitats using fine‐scale lidar metrics derived from country‐wide Airborne Laser Scanning
<p>This data repository contains the processed lidar metrics for characterizing the habitat structure for classifying main land cover and habitat types in the Lauwersmeer area in the northern part of the Netherlands in the province of Groningen (5754 ha). The lidar metrics were derived from Airborne Laser Scanning (ALS) data using the Actueel Hoogtebestand Nederland 2 (AHN2) openly available dataset from https://www.pdok.nl/. </p> <p>The derived lidar metrics saved in *.grd file format and contain 32 bands. Each band represents a lidar metric and the water surface was masked out in the dataset. The *l1* in the file name indicates that the file was used for level 1 (wetland) classification and *l23* used for level 2 (land cover types within wetland) and level 3 (reedbed habitats) classification. The lidar metrics were calculated using lidR (<a href="https://github.com/Jean-Romain/lidR">https://github.com/Jean-Romain/lidR</a>) software package. Further details related to the lidar metrics extraction can be found at <a href="https://github.com/eEcoLiDAR/PhDPaper1_Classifying_wetland_habitats">https://github.com/eEcoLiDAR/PhDPaper1_Classifying_wetland_habitats</a> Github repository.</p> <p> </p>
Single amyloid PET scan on the Siemens Biograph mMR
<p>In version 1.0, this zipped dataset consists of a full dynamic list-mode PET data of 60 minutes of acquisition, using an amyloid tracer, florbetapir, provided by Eli Lilly. Also, the dataset includes normalisation files and the UTE mu-map, all needed for an independent image reconstruction using NiftyPET.</p> <p>In version 2.0, the dataset is enriched by MR T1w and N4 bias corrected image, the parcellated T1w image into 140+ brain regions, the pseudo-CT image (based on T1w image) for more accurate attenuation correction, and the <testing_reference> folder with all images used for testing the installation or a new version of NiftyPET. </p> <p>https://github.com/pjmark/NiftyPET</p> <p>https://link.springer.com/article/10.1007/s12021-017-9352-y</p>
Fast Pixelated Detectors in Scanning Transmission Electron Microscopy. Part II: Post Acquisition Data Processing, Visualisation, and Structural Characterisation
<p>Scanning transmission electron microscopy data related to paper "Scanning transmission electron microscopy data related to paper "Fast Pixelated Detectors in Scanning Transmission Electron Microscopy. Part II: Post Acquisition Data Processing, Visualisation, and Structural Characterisation", <a href="https://doi.org/10.1017/S1431927620024307">https://doi.org/10.1017/S1431927620024307</a>.</p>
PsPM-SC2F: SCR, ECG, PPU and respiration measurements from a delay fear conditioning task with auditory CS, performed during MRI scanning
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG), peripheral pulse unit (PPU) and respiration measurements for 18 healthy unmedicated participants (9 females and 9 males, age range: 18 - 34 years, mean age: 24.8 +/- 4.2) participating in a classical (Pavlovian) discriminant delay fear conditioning experiment with auditory CS, during MRI scanning. Also included are CS and US information, and ratings of CS after the experiment. Simple and complex CS were simple sine tone (4 s), and up or down frequency sweep sounds, respectively. US was a train of electric square pulses delivered with a constant current stimulator (Digitimer DS7A, Digitimer, Welwyn Garden City, UK) on participants' dominant forearm through a pin-cathode/ring-anode configuration. After the fear conditioning task, participants were first asked to report their subjective estimate of how likely they were to receive a shock after a given CS in the future, on a visual analogue scale of 0-100. Then they were asked to rate pairs of CS sounds with respect to which of the two stimuli they liked less.</p>
Replication Data for: "Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging
<p>Data repository for: <strong>Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging</strong></p> <ul> <li><em>DataDescription.pdf</em><strong><em>: </em></strong>describes the uploaded data</li> <li><em>Data (folder): </em>folder containing <em>data.xlsx</em>, which summarizes all the data plotted in the paper as well as additional imaging and simulation data sets</li> <li><em>Code (folder): </em> contains Matlab code for converting and plotting certain data sets</li> </ul>
Tomographic data acquired by a half-acquisition scanning technique
<p>Tomographic data acquired by a half-acquisition scan (360-degree scanning with offset center-of-rotation) was used to demonstrate data processing methods in the paper:</p> <p>"Data processing methods and data acquisition for samples larger than the field of view in parallel-beam tomography"<br> Nghia T. Vo, Robert C. Atwood, M. Drakopoulos, and Thomas Connolley, <a href="https://doi.org/10.1364/OE.418448">https://doi.org/10.1364/OE.418448</a></p> <p> </p> <p>To extract data, you firstly collect the files together and run "zip -F half_acquisition_scan_splitted.zip<br> --out data.zip" to recreate dataset. Then you can unzip by running "unzip data.zip"</p> <p> </p> <p> </p>
IODP Expedition 366 Scanning electron microscope images
<p>Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.</p>
Binaural room scanning files for a 56-channel circular loudspeaker array
<p>Binaural room scanning (BRS) files for the simulation of a 56-channel circular loudspeaker array with a diameter of 3m. The loudspeaker array setup is also suited to reproduce stereo or surround recordings.</p> <p>The BRS files allow for a dynamic binaural simulation of the actual loudspeaker array using the SoundScape Renderer [1]. With this you can listen to binaural simulations of stereo, surround, or even wave field synthesis (WFS) productions. For example, you can find music productions that can be used with the 56-channel array at [2].</p> <p>[1] http://spatialaudio.net/ssr/</p> <p>[2] http://dx.doi.org/10.14279/depositonce-5173</p>
How to reveal metastable skyrmionic spin structures by spin-polarized scanning tunneling microscopy
<p>We predict the occurrence of metastable skyrmionic spin structures such as antiskyrmions and<br> higher-order skyrmions in ultra-thin transition-metal films at surfaces using Monte Carlo simulations<br> based on a spin Hamiltonian parametrized from density functional theory calculations.Weshow that<br> such spin structures will appear with a similar contrast in spin-polarized scanning tunneling<br> microscopy images. Both skyrmions and antiskyrmions display a circular shape for out-of-plane<br> magnetized tips and a two-lobe butterfly contrast for in-plane tips. An unambiguous distinction can<br> be achieved by rotating the tip magnetization direction without requiring the information of all<br> components of the magnetization.</p>
FIGURES 5 6. Pieza heads, scanning electron micrographs. 5 in Pieza, a new genus of microbombyliids from the New World (Diptera: Mythicomyiidae)
FIGURES 5 6. Pieza heads, scanning electron micrographs. 5. Pieza angusta (Melander). 6. Pieza sinclairi, sp. nov.
Slide scan example for Automorph
<p>This dataset is an example of the slide scans of microfossils and Automorph output generated in P.M. Hull's lab at Yale University. The raw slide scan is contained in the file 'IP.307626_slide_scan.zip'; each tif is a z-slice of the entire imaged microfossil slide. Note that the raw slide scan images are BigTIFFs, a file format that cannot be view in most commonly used programs.</p> <p>Objects are segmented out and refocused (for image quality) in the Automorph routines 'segment' and 'focus'. The 2D image output of these routines is contained in the file 'IP.307626_EDFs.zip' . 2D outlines and shape measurements are contained in the files 'IP.307626_2D_coordinates.csv' and 'IP.307626_2D_properties.csv', and were generated with the Automorph routine 'run2dmorph'. 3D pdfs of individual objects are provided in 'IP.307626_3D_PDFs.zip' and were generated in the Automorph routine 'run3dmorph'. 3D meshes and measurements are also provided by 'run3dmorph' but are not included in this example dataset. Note that only some pdf viewers are able to display 3D pdfs properly.</p> <p>Automorph software and tutorials can be accessed here: https://github.com/HullLab</p> <p>Data regarding the sample IP.307636 can be accessed here: http://collections.peabody.yale.edu/search/Record/YPM-IP-307636</p>
Cryo-4D-STEM datasets on cells and cellular organelles for demonstrating a dose-Efficient cryo-EM technique: tilt-Corrected Scanning Transmission Electron Microscopy
<p>This upload contains three 4D-STEM datasets in .raw format for demonstrating a dose-efficient cryo-EM technique for thick samples: tilt-corrected Scanning Transmission Electron Microscopy (tcBF-STEM). The dataset dimension is 128130256*256. Data were acquired on vitrified intact E.coli cells and isolated human cell organelles. This upload also contains the EFTEM images in .mrc acqired in the same ROI as the 4D-STEM dataset. </p> <p>It also contains analysis of the manuscript's Fig 3 and Ext. data fig 8. </p>
ScienceDex guides
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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.