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13,476 results for “Specimens”
Atomic Force Microscopy Images of Various Specimens
<p>This data set consists of ten atomic force microscopy images in MI format as well as corresponding previews in PNG format.</p> <p>The microscopy images are of various materials and have been scanned with AFM equipment from Keysight Technologies. Details on the individual images:</p> <ul> <li>image_7.mi - calibration grid with 5 µm pitch size</li> <li>image_8.mi - Celgard (a polymer membrane used in batteries)</li> <li>image_9.mi - Titanium-Tungsten film</li> <li>image_10.mi - AFM image</li> <li>image_11.mi - self-assembled monolayer of lipids on gold</li> <li>image_12.mi - capacity calibration sample for Scanning Microwave Microscopy imaging</li> <li>image_13.mi - capacity calibration sample for Scanning Microwave Microscopy imaging</li> <li>image_14.mi - PS-LDPE-12M (a polymer blend of Polystyrene and Polyolefin Elastomere)</li> <li>image_15.mi - AFM Calibration grid</li> <li>image_16.mi - AFM Calibration grid</li> </ul> <p>The images can be opened using, e.g. Gwyddion: http://gwyddion.net/<br /> The Python package Magni can be used to load the images into Python (using the magni.afm.io module): https://github.com/SIP-AAU/Magni</p> <p>The images are provided as-is without warranty of any kind.</p>
Experimental load-displacement response of a stainless steel specimen under cyclic loading
<p>Experimental load-displacement data was obtained by testing a autenitic stainless steel RHS member under cyclic bending around its major axis following a cantilever loading scheme. The database is comprised of the horizontal displacement measured by a string potentiometer attached at the free end of the specimen and the horizontal force introduced by the actuator. </p> <p>The data corresponds to the specimen named S1-L1, which was an austenitic stainless steel RHS specimen, with a cross-section S1 (120 × 80 × 6 mm) and an effective length of L1 = 1650 mm. </p> <p>The full details of the experimental test can be found in: González-de-León I., Nastri E., Arrayago I., Montuori R., Piluso V., Real E. Experimental study on stainless steel tubular members under cyclic loading. Thin-Walled Structures 181, 109969, 2022. DOI: https://doi.org/10.1016/j.tws.2022.109969.</p>
Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process - Datasets
<p>This dataset contains supporting data for a research project aimed at analysing herbarium samples from the New England area at a large scale with deep learning techniques. Details on the methodology are shared in the acompanying paper (to be published).</p> <p>Content:</p> <ul> <li>dataset600k_withAI.csv : A dataset of over 600.000 herbarium samples with its record metadata and a corresponding AI phenological annotations with matching confidence scores. The entirety of the record headers are provided, extracted directly from the NEVP portal. In addition, the AI labels are defined by the following headers. These 8 columns represent 4 binary classifiers with the Presence/Absence of each 4 traits and corresponding confidence (as a percentage - presence/absence percentages sum to 1).<br> <ul> <li> <table> <tbody> <tr> <td>Flowering</td> <td>Not Flowering</td> <td>Budding</td> <td>Not Budding</td> <td>Fruiting</td> <td>Not Fruiting</td> <td>Reproductive</td> <td>Not Reproductive</td> </tr> </tbody> </table> </li> </ul> </li> </ul> <ul> <li>data_species_with_statuses.csv: A processed dataset summarizing flowering period shift at a species level. Two types of headers are provided. <ul> <li>First metadata concerning the flowering shift and the data used to compute that value: <ul> <li> <table> <tbody> <tr> <td>genus</td> <td>genus_species</td> <td>slope</td> <td>nb_specimens</td> <td>p_value_significance</td> <td>trend_category</td> </tr> <tr> <td>Genus of the species</td> <td>Binomial name of the species</td> <td>Regression slope defining the flowering shift as a slope</td> <td>Number of herbarium specimens used to compute the shift</td> <td>P-value significance of the slope being non-zero. ('Non Significant'/'Significant')</td> <td>Summary of the shift as a binary characteristic ('Earlier'/'Later')</td> </tr> </tbody> </table> </li> </ul> </li> <li>Second, metadata summarizing various traits associated to each species: <ul> <li> <table> <tbody> <tr> <td>lifeform_status</td> <td>native_introduced_status</td> <td>wetland_status</td> <td>seasonality_average</td> <td>seasonality_spread</td> </tr> <tr> <td>Growth form from the USDA PLANTS Database. 'Forb_Herb', 'Shrub_Tree' or 'Vine'</td> <td>'Native'/'Introduced' status from the USDA PLANTS Database.</td> <td> <p>National Wetland Plant List (NWPL) Wetland Indicator Status within the Northcentral and Northeast Region</p> <p>'OBL'/'FACW'/'FAC'/'FACU'/'UPL'</p> </td> <td>A characteristic of the flowering season of the species based on the mean Day of Year of the analysed specimens: if <=180: 'Early', else 'Late'</td> <td>A characteristic of the flowering season of the species based on the spread of the flowering season. Less than 28 days: 'Narrow', larger: 'Large'.</td> </tr> </tbody> </table> <p> </p> </li> </ul> </li> </ul> </li> <li>phylogenetic_tree.tre: The raw data used to generate the visualization of the flowering seasonality character and the detected flowering shift foreach species on a phylogenetic tree.</li> <li>phylogenetic_processed_dataset.csv: The processed dataset resuting from the phylogenetic signal analysis. For each trait, an associated significance binary value is provided.</li> </ul>
A benchmark dataset of herbarium specimen images with label data: Summary
<p>This landing page contains a CSV file compiling all data associated with herbarium specimens that are part of this dataset, as they could be found on GBIF, JACQ or FinBIF. A CSV file with and without Darwin Core extension data is available, as some CSV readers have trouble with the JSON format that is used for those extensions.</p> <p>In addition, DOI's of the individual specimens uploaded to Zenodo and direct links to the different files (JPEG, TIFF, JSON, PNG) are also included. Index of these added variables:</p> <p>- persistentID: Persistent Identifier of the collection specimen. Data uploaded as part of this dataset will not be kept in sync with changes at the collection's repository. Hence, this URI will always point to the most up to date information known about the herbarium specimen.</p> <p>- jpegURL, tiffURL, jsonURL: URL's pointing straight to the respective image and data files themselves, to facilitate (selective) batch downloads.</p> <p>- pngSegAllURL and pngSegSelURL: Segmented overlays of the herbarium specimens indicating the location of different labels and reference material on the sheet ("All") and their content ("Sel"). More information can be found in the paper (in prep) associated with this data publication and the individual depositions themselves.</p> <p>- DOI: The DOI of the deposition of images and data of these specimens on Zenodo. DOI's point to the most up-to-date version of these depositions at the time of the publication of this CSV file. As a rule, this CSV file will be updated should any changes happen to any of the depositions.</p> <p>- jpegURL2, tiffURL2: A few herbarium sheets had labels on the back and consisted therefore of two scans. As a rule, the label scans are in this category.</p>
Results of the 3D detection of cracks in tested disc-shaped specimens
<p> </p> <p>3D images of fatigue crack obtained by laboratory tomography and synchrotron tomography within bi-disc specimens.</p>
Forms for growing mycelium-based biocomposite test specimens
<p><span>Forms for growing mycelium-based biocomposite test specimens are provided in two variants – with openings for more access to air and without the openings. The forms are intended for the production of cube specimens with a side length of 50 mm. The drawings are provided in two different formats and are intended for laser CNC cutting of plexiglass.</span></p>
Supplementary Date for a "Novel production of macrocapsules for self-sealing mortar specimens using stereolithographic 3D printers"
<p>This dataset was used for the publication of "<span>Novel production of macrocapsules for self-sealing mortar specimens using stereolithographic 3D printers". </span></p>
Test Phenology Annotations From Herbarium Specimen Dataset - Prunus serotina
<p>This is a test dataset of phenology annotations for the Black Cherry, P. serotina, used in the submitted manuscript:</p> <p>Brenskelle, L., B. Stucky, J. Deck, R. Walls, R. P. Guralnick [submitted]. Integrating herbarium specimen observations into global phenology data systems. Applications in Plant Sciences.</p>
Herbarium specimen image of Barleria cuspidata Champl., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Kopsia lancibracteolata Merr., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Campanula barbata L., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Campanula glomerata L., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Campanula glomerata L., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Campanula glomerata L., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Astelia, part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Campanula glomerata L., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Campanula glomerata L., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Campanula sibirica L., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Dalechampia micromeria Baill., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Campanula alpina Jacq., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.