Find research datasets worth reusing

Platypus eDNA and habitat data and yearly samples

Data relating to presence and absence of platypus eDNA and habitat variables collected for each site as well as the years sampled. This data is part of a long term prgoram with local south-east Queensland Councils. Contact individual councils for data sets.

Estimated reflectance hyperspectral libraries for Vigo sediment sample, seafloor sand samples and marine organism

<h2>Abstract</h2> Estimated reflectance hyperspectral libraries created for sand samples from seafloor at Vigo sea zone 1, 2 and 3, sediment samples from Vigo fieldwork Sept. 2023 and some Vigo marine organisms such as sea cucumber, sea pens, sea stars, coral, seaweed. This depository contains data generated within the European S34 project. <h2>Metadata Information</h2> <table> <tbody> <tr> <td> Identification </td> </tr> <tr> <td> Full Title </td> <td> Estimated reflectance hyperspectral libraries for Vigo sediment sample, seafloor sand samples and marine organism </td> </tr> <tr> <td> Abstract </td> <td> Estimated reflectance hyperspectral libraries created for sand samples from seafloor at Vigo sea zone 1, 2 and 3, sediment samples from Vigo fieldwork Sept. 2023 and some Vigo marine organisms such as sea cucumber, sea pens, sea stars, coral, seaweed. </td> </tr> <tr> <td> Keywords </td> <td> Reflectance hyperspectral signature, library, sediment, sand, sea cucumber, sea star, coral, seaweed </td> </tr> <tr> <td> Pilot area </td> <td> Ria de Vigo </td> </tr> <tr> <td> Associated resources </td> <td> / </td> </tr> <tr> <td> Language </td> <td> English </td> </tr> <tr> <td> URL </td> <td> / </td> </tr> <tr> <td> Categories </td> <td> Other </td> </tr> <tr> <td> Temporal reference </td> </tr> <tr> <td> Creation date (dd.mm.yyyy) </td> <td> 25.05.2024 </td> </tr> <tr> <td> Revision date (dd.mm.yyyy) </td> <td> 25.05.2024 </td> </tr> <tr> <td> Quality and validity </td> </tr> <tr> <td> Representation type </td> <td> Other </td> </tr> <tr> <td> Format </td> <td> CSV </td> </tr> <tr> <td> Lineage </td> <td> / </td> </tr> <tr> <td> Spatial resolution </td> <td> 0.25m </td> </tr> <tr> <td> Positional accuracy </td> <td> / </td> </tr> <tr> <td> Maintenance information </td> <td> / </td> </tr> <tr> <td> Coordinate system </td> <td> EPSG 3035 </td> </tr> <tr> <td> Constranits related to access and use </td> </tr> <tr> <td> Use limitation </td> <td> / </td> </tr> <tr> <td> Access constraint </td> <td> / </td> </tr> <tr> <td> Public/Private </td> <td> Public </td> </tr> <tr> <td> Responsible organisation </td> </tr> <tr> <td> Responsible Contact </td> <td> Ecotone AS, info@ecotone.com </td> </tr> <tr> <td> Responsible Party </td> <td> Ecotone AS </td> </tr> <tr> <td> Metadata on metadata </td> </tr> <tr> <td> Contact </td> <td> Ecotone AS, info@ecotone.com </td> </tr> <tr> <td> Metadata language </td> <td> English </td> </tr> </tbody> </table>

CT-Scan Image Dataset of Residual Fluid-Driven Fracture in a Molasse de Villarlod Sandstone Core - Post-Radial Hydraulic Fracture Experiment - M04 Sample

<h3>Dataset Description</h3> This dataset contains high-resolution CT-scan images that capture the residual fracture surface within a core sample of Molasse de Villarlod Sandstone. The core sample was extracted after conducting a radial hydraulic fracture experiment on a 25 × 25 × 25 cm cubic block of sandstone (M04 Smaple). The experiment was designed to simulate fluid-driven fracture propagation and closure, and the resulting fracture path was preserved in the core sample. Core Location in the M04 Cube Sample: <ul> <li>Z: 12.5 cm</li> <li>South-North: 12.5 cm</li> <li>West-East: 13.5 cm to 23.3 cm (Coring direction)</li> </ul> This spatial information specifies the exact location and orientation of the core extraction within the M04 cube sample. <h4>CT-scan instrument details:</h4> The M04 sample was analyzed using an X-ray micro-CT scanner (RX-Solutions Ultratom) under consistent scanning protocols and parameters. A reflective 230 kV microfocus X-ray source (Hamamatsu L10801) equipped with a 0.2 mm thick copper filter, a tungsten cathode, and a tungsten target was employed for the imaging process. The scans were conducted with a voltage of 120 kV and a current intensity of 80 mA. The volume data acquisition was performed in continuous helical mode, ensuring complete coverage of the sample’s height. For sample M04, 5 full rotations were executed, with 1312 projections captured for each 360° rotation, allowing for highly precise volume reconstruction. The X-ray beam attenuation was recorded by an XL Varex Paxscan 2530HE plane detector with a resolution of 2176 x 1792 pixels, and an exposure time of 0.50 seconds per projection. The acquired projections were processed using RX-Solutions X-act software with Filtered Backprojection to reconstruct a corrected volume. This reconstruction yielded approximately 9000 slices in 16-bit TIFF format, with voxel dimensions of 10 x 10 x 10 microns, providing detailed insights into the internal structure of the sample. <h4>Key Features:</h4> <ul> <li> Fracture Characteristics: The fracture observed in the CT-scans represents a residual opening that remains post-fracturation. It is entirely contained within the core, showcasing the internal fracture geometry resulting from the hydraulic fracturing process. </li> <li> CT-Scan Details: The CT-scans were taken perpendicular to the fracture surface, offering a detailed cross-sectional view of the fracture at different depths. This orientation is critical for accurately capturing the fracture morphology and allows for the reconstruction of the fracture surface in 3D. </li> <li> Material Information: The core sample is composed of Molasse de Villarlod Sandstone, a sedimentary rock which is porous (18% porosity) and permeable. This material choice is relevant for studying fracture closure subjected to the leak-off of the fluid inside the porous medium. </li> <li> Experimental Context: The radial hydraulic fracture experiment aimed to simulate the propagation of hydraulic fracture and its closure due to the leakage of fluid inside fracture into the porous medium. The dataset provides valuable insights into fracture propagation patterns, surface roughness, and the effects of fluid-driven fractures in porous media. </li> </ul> <h4>Applications:</h4> This dataset is particularly valuable for researchers and engineers involved in: <ul> <li>Fracture mechanics and surface characterization</li> <li>3D reconstruction and visualization of fracture surfaces</li> <li>Surface roughness analysis</li> <li>Hydraulic fracturing studies</li> <li>Geomechanical modeling</li> </ul> <h4>File Structure:</h4> The dataset is organized into zip-folder contains .tif images corresponding to different depths within the core. Each tif-image is a CT-scan for that specific depth, labeled according to their position along the fracture path. <h4>Processing code:</h4> Follow the URL repository in the software section to access to the code for processing these images and reconstructing the fracture surfaces. Acknowledgment: We would like to extend our deepest thanks to Gary Perrenoud, Albert Taureg, and Lionel Pittet, the technical specialists of the PIXE platform at École Polytechnique Fédérale de Lausanne (EPFL). Their expertise and support in operating the CT-scan machine were important to the success of this research. We greatly appreciate their dedication and the high-quality work they provided. Contact and Support: Email: Brice Lecampion: brice.lecampion@epfl.ch Mohsen Talebkeikhah: m.talebkeikhah@gmail.com

opencc-by-4.0Dec 2005View details →

Fig. 5. Non−trilobite fossils from the orsten samples. A. Echinoderm columnal, SMNH X3566 in Phosphatised olenid trilobites and associated fauna from the Upper Cambrian of Västergötland, Sweden

Fig. 5. Non−trilobite fossils from the orsten samples. A. Echinoderm columnal, SMNH X3566 (3.5), sample 2. B. Echinoderm columnal, SMNH X3567 (3.6), sample 2. Stereom structure shown in B2. C. Conulariid(?) fragment, SMNH X3568 (3.16), sample 8 (Peltura minor Zone). D. Funnel−like fossil, SMNH X3569 (3.16), sample 2. E. Anatolepis−like fragment, SMNH X3570 (4.1), sample 2. Spines preserved in different degrees of abrasion (E2). F. Semicircular fossil, SMNH X3571 (3.1), sample 2. G. Dermal scale(?), SMNH X3572, (3.15), sample 2. H. Camaroid graptolite(?), SMNH X3573 (3.9), sample 1. All scale bars, except C4, are 0.1 mm.

Vitamin B12 deficiency anaemia and gestational diabetes mellitus: a two-sample Mendelian randomization study

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2006View details →

Fig. 8. Scolopodus striatus Pander, 1856 from the Harku section, Estonia. All elements are from the sample H−5 in Apparatus of the conodont Scolopodus striatus Pander, 1856 and a re-evaluation of Pander's species of Scolopodus

Fig. 8. Scolopodus striatus Pander, 1856 from the Harku section, Estonia. All elements are from the sample H−5, the lower part of the Baltoniodus navis Zone (Early Ordovician). A–C. Acontiodiform elements (Sa). A. PMU In 1019 in inner (A1), posterior (A2), and outer (A3) views; detail of the cusp (A4), note the absence of striation. B. PMU In 1020 in inner (B1) and posterior (B2) views. C. PMU In 1021 in posterior view. D–F. Scandodiform elements (M). D. PMU In 1022 in posterior (D1) and inner (D2) views. E. PMU In 1023 in inner (E1) and outer (E2) views. F. PMU In 1024 in outer (F1), posterior (F2), and inner (F3) views. G. Detail of the cusp, PMU In 1025, note the striation. H, I. Subrounded elements (Sa). H. PMU In 1026 in lateral (H1), posterior (H2), and lateral (H3) views. I. PMU In 1027 in lateral (I1), posterior (I2), and lateral (I3) views. Scale bars 200 µm, except A4 and G for which are 50 µm.

opencc-by-4.0Dec 2006View details →

Fig. 7. Scolopodus striatus Pander, 1856 from the Harku section, Estonia. All elements are from the sample H−5 in Apparatus of the conodont Scolopodus striatus Pander, 1856 and a re-evaluation of Pander's species of Scolopodus

Fig. 7. Scolopodus striatus Pander, 1856 from the Harku section, Estonia. All elements are from the sample H−5, the lower part of the Baltoniodus navis Zone (Early Ordovician). A–C. Paltodiform elements (S). A. Short−based variant, PMU In 1009 in inner (A1) and posterior (A2), and outer (A3) views. B. Medium−based variant, PMU In 1011 in inner (B1), posterior (B2), and outer (B3) views; detail of the cusp (B4). C. Medium−based variant, PMU In 1012 in inner (C1), posterior (C2), and outer (C3) views. D, E. Compressed paltodiform elements (S). D. Long−based variant, PMU In 1013 in lateral (D1) and posterior (D2) views. E. Short−based variant, PMU In 1014 in lateral (E1), posterior (E2), and lateral (E3) views. F. Short−based variant, PMU In 1015 in lateral (F1) and posterior (F2) views. G. Long−based variant, PMU In 1016 in lateral (G2) view; detail of the cusp (G1). H. Short−based variant, PMU In 1017 in lateral (H1) and posterior (H2) views. I. Short−based variant, PMU In 1018 1017 in lateral (I1) and posterior (I2) views. Scale bars 200 µm, except A4 and G1 for which are 50 µm.

opencc-by-4.0Oct 2011View details →

Figure 3. Hellbender sperm sampling. A in Zoo-based amphibian research and conservation breeding programs

Figure 3. Hellbender sperm sampling. A team led by Dale McGinnity, Nashville Zoo at Grassmere, Tennessee, USA, is creating the first genetically representative gene bank for any amphibian put forth using the hellbender (C. alleganiensis). Image by Sally Nofs.

Characteristics of water samples collected by UNIPER

The water samples collected by UNIPER during five rounds from 2021 to 2023, were characterized at the UPB laboratory for various physico-chemical parameters, microplastic detection, and nanoparticle profiling. The filtrates (liquid) resulting from cascade filtration were used to assess chloride content (g/L), salinity, electrical conductivity (EC) (mS/cm), pH, and total dissolved solids (TDS) (g/L). Microplastics retained on the metallic sieves were detected and measured by optical microscopy for their concentration, shape, and size. The size refers to the measured length of the detected microplastics during the first four sampling rounds (July 2021–December 2022), while the categorization by size classes (20 µm, 32 µm, 90 µm, and 125 µm) was carried out for those collected in July 2023. Additionally, nanoparticles in the filtrates (with particles less than 1000 µm) were evaluated using Nanoparticle Tracking Analysis (NTA) to determine nanoparticle concentration (particles/mL), mean size, and the percentage of particles under specific sizes (D10, D50, D90).

Sample data for "Classification Modeling for Hazardous Rip Current Prediction" Notebook

This sample dataset is used in the notebook "Classification Modeling for Hazardous Rip Current Prediction" to demonstrate the application of using machine learning to identify hazardous rip current.  The notebook is available in the NOAA Center for Artificial Intelligence GitHub Learning Journey repository (https://github.com/noaa-ncai/learning-journey). The full dataset is available via NOAA.

Sample data connected to Barth et al "SMC motor proteins extrude DNA asymmetrically and can switch directions"

Sample data connected to Barth et al "SMC motor proteins extrude DNA asymmetrically and can switch directions"

Data of "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion"

<div> </div> <div> <pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion", journal = "Additive Manufacturing", pages = " ", year = "2024", issn = "", doi = "https://doi.org/10.1016/j.addma.2024.104382", author = "L. Cobian, E. Maire, J. Adrien, U. Freitas, J.P. Fernandez-Blazquez, M.A. Monclus, J. Segurado"</pre> This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 862015 </div>

opencc-by-4.0Dec 2006View details →

Frasnian, lateral (B1), ventral (B2), anterior (B3), posterior (B4), and dorsal (B5) views of a rounded exfoliated shell, 27.7 mm wide, 25.6 mm long, and about 14.5 mm thick. C. PUM05008, sample PY4, Panxi section, probably Middle Frasnian, lateral (C1), dorsal (C2), and ventral (C3) views of the sectioned specimen (Fig. 6). D. PUM05009, sample PY5, Panxi section, probably Middle Frasnian, ventral beak broken, showing small conjunct deltidial plates (note that true foramen (approximately dashed line) takes up only a small part at the bottom of the seen later enlarged hole). E. PUM05010, sample PY5, Panxi section, probably Middle Frasnian, posterior (E1), lateral (E2), anterior (E3), ventral (E4), and dorsal (E5) views, 26.7 mm wide, 27.7 mm long, 18.5 mm thick, adpressed ventral beak. F. PUM05011, sample GC22, Caiziyan section, Early Frasnian, dorsal view. in Early and Middle Frasnian brachiopod faunas and turnover on the South China shelf

Frasnian, lateral (B1), ventral (B2), anterior (B3), posterior (B4), and dorsal (B5) views of a rounded exfoliated shell, 27.7 mm wide, 25.6 mm long, and about 14.5 mm thick. C. PUM05008, sample PY4, Panxi section, probably Middle Frasnian, lateral (C1), dorsal (C2), and ventral (C3) views of the sectioned specimen (Fig. 6). D. PUM05009, sample PY5, Panxi section, probably Middle Frasnian, ventral beak broken, showing small conjunct deltidial plates (note that true foramen (approximately dashed line) takes up only a small part at the bottom of the seen later enlarged hole). E. PUM05010, sample PY5, Panxi section, probably Middle Frasnian, posterior (E1), lateral (E2), anterior (E3), ventral (E4), and dorsal (E5) views, 26.7 mm wide, 27.7 mm long, 18.5 mm thick, adpressed ventral beak. F. PUM05011, sample GC22, Caiziyan section, Early Frasnian, dorsal view.

opencc-by-4.0Jun 2024View details →

Sample of Reanalysis Dead Fuel Moisture Content Dataset of California (2000-2020)

Open the record for dataset details and reuse information.

Discrete Flow Cytometry of Depth Profile Samples from TN413 (2023) Using a BD Influx Cell Sorter

The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the University of Washington School of Oceanography 2023 undergraduate senior thesis cruise (TN413) oceanographic research cruise from Hawaii to Fiji. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for heterotrophic bacteria, picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton

opencc-by-4.0Jul 2024View details →

Data for: Tip of the Red Giant Branch Distances with JWST. II. I−band Measurements in a Sample of Hosts of 10 SN Ia Match HST Cepheids

Data for: "Tip of the Red Giant Branch Distances with JWST. II. I−band Measurements in a Sample of Hosts of 10 SN Ia Match HST Cepheids". The photometry provided is after DOLPHOT quality cuts, foreground extinction corrections, and spatial cuts.

opencc-by-4.0Oct 2024View details →

Frequency maps of Y-chromosomal haplogroups in Finland - out of all samples

Y-chromosomal regional enrichment maps for all haplogroups with at least 1% frequency in Finland out of all samples. A star (*) within the map and gray color in the forest plot indicates the frequency is inferred by combining samples from geographically closest regions due to low coverage of samples in the region.

opencc-by-4.0Oct 2024View details →

ROAG (Reaching Over A Grid): Dataset of Human Reaching Motions Over a Discretely Sampled Workspace

Joint absence in people with upper limb differences leads to compensatory motions. Such compensation has long been a topic of study, but typically only for a single object/user layout, which is unlikely to generalise across a workspace. To better understand how arm motion and compensatory movements vary over the workspace, we created the ROAG dataset. ROAG is pronounced 'Rogue' and stands for Reaching Over A Grid. The dataset was recorded at the GRAB Lab of Yale University (USA) and has since been processed at the Manipulation and Touch Lab of Imperial College London (UK).  ROAG is a motion capture dataset involving arm and torso pose during reach-to-grasp actions for 49 equally spaced cylindrical targets, orientated horizontally or vertically. The data is collected from seven able-bodied participants and two transradial amputees who use prosthetic devices. In the case of able-bodied participants, different bracing systems were applied to the arm to immobilise wrist joints and simulate transradial limb loss, leading to compensatory motions. In total, the dataset consists of 2450 reaching trajectories. This resource hosts the collected dataset and the related MATLAB analysis files. The dataset has been the basis of the following publications: <ul> <li>A. J. Spiers, Y. Gloumakov and A. M. Dollar, "Transradial Amputee Reaching: Compensatory Motion Quantification Versus Unaffected Individuals Including Bracing," in IEEE Transactions on Medical Robotics and Bionics, vol. 6, no. 2, pp. 706-717, May 2024, <a href="https://doi.org/10.1109/TMRB.2024.3381339" target="_blank" rel="noopener">https://doi.org/10.1109/TMRB.2024.3381339</a></li> <li>Qihan Yang, Yuri Gloumakov, and Adam J. Spiers. "Multi-feature Compensatory Motion Analysis for Reaching Motions Over a Discretely Sampled Workspace." in IEEE RAS EMBS 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob 2024), <a href="https://doi.org/10.48550/arXiv.2409.05871" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2409.05871</a></li> <li>Adam J Spiers, Yuri Gloumakov, Aaron M Dollar, "Examining the impact of wrist mobility on reaching motion compensation across a discretely sampled workspace", in IEEE 7th International Conference on Biomedical Robotics and Biomechatronics (BioRob 2018), <a href="https://doi.org/10.1109/BIOROB.2018.8487871" target="_blank" rel="noopener">https://doi.org/10.1109/BIOROB.2018.8487871</a> </li> </ul>

opencc-by-4.0Mar 2024View details →

Moana Ocean Future Climate (Sample Daily Fields)

The Moana Ocean Future Climate downscaling is a set of  dynamical downscalings for New Zealand waters combining boundary and surface forcing from the New Zealand Earth System Model with the Moana Ocean Hindcast ROMS configuration. MOFC has been run for a 20 year reference period (1990-2010) and three future climate experiments (SSP3-70 2030-2060, SSP3-70 2070-2099 and SSP2-45 2070-2099). While this repository contains sample files, the full dataset can be downloaded from the project webpage at https://www.moanaproject.org/ Model results are available as hourly and daily average values for temperature, salinity, velocity (u, v, w), and sea surface elevation.   Full descriptions of these datasets are provided in Roach et al. (submitted to GMD).