Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,509
datasets available to search
ShareScore release 0.9.0
Dataset results
1,509 results for “Calibrations”
Supplementary material 8 from: Li X-R (2022) Phylogeny and age of cockroaches: a reanalysis of mitogenomes with selective fossil calibrations. Deutsche Entomologische Zeitschrift 69(1): 1-18. https://doi.org/10.3897/dez.69.68373
Figure S5
iGEM-Leiden-2022-Supplementary Experiments 10 [INTERLAB] Calibration Experiment Raw Data
<p>Raw data Supplementary Experiment 10 [INTERLAB] Calibration Experiment iGEM Leiden 2022</p>
iGEM-Leiden-2022-Supplementary Experiments 10 [INTERLAB] Calibration Experiment Submitted Data
<p>Submitted data Supplementary Experiment 10 [INTERLAB] Calibration Experiment iGEM Leiden 2022</p>
Calibration data
<p>I would like to add this later</p>
Calibrated Mathematical Programming Models In Agriculture: A Systematic and Bibliometric Review
Open the record for dataset details and reuse information.
Calibration Study: ChEMBL Data
Open the record for dataset details and reuse information.
ChEMBL Data for 'Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models'
Open the record for dataset details and reuse information.
Plenoptic 2.0 - RayTrix R5 and RayTrix R8 - Cards - Calibration and Multiview
<p>The test sequence "Plenoptic 2.0 - RayTrix R5 and RayTrix R8 - Cards - Calibration and Multiview" is provided by Sarah Fachada, Daniele Bonatto, Gauthier Lafruit and Mehrdad Teratani, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium.</p> <h2>License</h2> <p>CC BY-NC-SA</p> <h2>Terms of Use</h2> <p>Any kind of publication or report using this sequence should refer to the following references:</p> <p>[1] **Sarah Fachada, Daniele Bonatto, Gauthier Lafruit and Mehrdad Teratani, "Plenoptic 2.0 - RayTrix R5 and RayTrix R8 - Cards - Calibration and Multiview" 2024.07, 10.5281/zenodo.12721987**</p> <blockquote> <p> @misc{fachada_cards_2024,<br> title = {{Plenoptic} 2.0 } {Raytrix} {R5} and {Raytrix} {R8} - {Cards} - {Calibration} and {Multiview}},<br> author = {Fachada, Sarah and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad},<br> month = jul,<br> year = {2024},<br> doi = {10.5281/zenodo.12721987}<br> }</p> </blockquote> <p>[2] **Sarah Fachada, Daniele Bonatto, Gauthier Lafruit and Mehrdad Teratani, "Pattern and Subaperture-free Calibration of Plenoptic 2.0 cameras" 2024, European Workshop on Visual Information Processing (EUVIP), Geneva, Switzerland**</p> <blockquote> <p> @inproceedings{fachada_pattern_2024,<br> address = {Geneva, Switzerland},<br> title = {Pattern and {Subaperture}-free {Calibration} of {Plenoptic} 2.0 cameras},<br> booktitle = {2024 {European} {Workshop} on {Visual} {Information} {Processing}},<br> author = {Fachada, Sarah and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad},<br> month = sep,<br> year = {2024},<br>}</p> </blockquote> <h2>Production</h2> <p>Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles, Belgium, </p> <h2>Content</h2> <p>This dataset provides multiple views of a scene made of cards placed on two depth planes, as well as calibration images taken with the same camera intrinsic parameters. The dataset was acquired with two Raytrix cameras [1], the R5 and the R8, mounted on the Deutsches Zentrum für Luft und Raumfahrt (DLR)'s robotic arm. </p> <p>The dataset additionally contains calibration images of a checkerboard and white images taken with different main lens apertures, suited for Calibration with Compote [2].</p> <p>We provide disparity maps computed with Plenoptic Toolbox [3].</p> <p>The cameras have a C-mount main lens of focal length 35mm and a focus distance of 375mm (R5) and 315mm (R8). The f-number used to capture the scene and the checkerboard is 3.4 (R5) and 3.2 (R8).</p> <p>The scene views 1 to 6 have been captured by cameras parallel to the scene. In they coordinate frame, the scene's nearest plane is placed at 360mm from the main lens mount, and the farthest plane is placed at 415mm.</p> <h2><br>The dataset contains</h2> <ul> <li>A `color` folder containing the processed plenoptic images of the scene in PNG format</li> <li>A `disparities` folder containing: <ul> <li>Associated disparity maps in PNG format</li> <li>The minimal and maximal disparities corresponding to the values 0 and 255</li> </ul> </li> <li>A `checkerboard` folder containing the plenoptic raw images in PNG format of a checkerboard with square size of 6mm</li> <li>A `white` folder containing the plenoptic raw images in PNG format of overexposed images captured with a white diffusor and different main lens apertures</li> <li>A `Calibrationfiles` folder containing: <ul> <li>Raytrix XML file with the specification of the MLA</li> <li>Compote JS files with the initial camera parameters (`camera.js`), images path (`images.js`) and checkerboard parameters (`scene.js`).</li> </ul> </li> </ul> <h2>References and links</h2> <p>[1] https://raytrix.de/<br>[2] M. Labussière, C. Teulière, F. Bernardin, and O. Ait-Aider, "Leveraging blur information for plenoptic camera calibration", International Journal of Computer Vision, nᵒ 2012, p. 1‑23, mai 2022, doi: 10.1007/s11263-022-01582-z.<br>[3] L. Palmieri, R. Koch, et R. O. H. Veld, "The Plenoptic 2.0 Toolbox: Benchmarking of Depth Estimation Methods for MLA-Based Focused Plenoptic Cameras", in 2018 25th IEEE International Conference on Image Processing (ICIP), IEEE, 2018, p. 649‑653. doi: 10.1109/ICIP.2018.8451073.</p> <h2>Acknowledgments</h2> <p>Sarah Fachada is a Postdoctoral Researcher of the Fonds de la Recherche Scientifique - FNRS, Belgium. <br>This work was supported in part by the HoviTron project (no. 951989), the FER 2021 project (no. 1060H000066-FAISAN), the Emile DEFAY 2021 project (no. 4R00H000236), and the FER 2023 project (no. 1060H000075). <br>The authors thank the Deutsches Zentrum für Luft und Raumfahrt (DLR) for the dataset acquisition.</p>
Stellar models with calibrated convection and temperature stratification from 3D hydrodynamics simulations
<p>MESA T-tau data file associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018MNRAS.478.5650M/abstract">Stellar models with calibrated convection and temperature stratification from 3D hydrodynamics simulations</a></p>
Calibration result of WaSSI model in HRS of Australia
<p>These are images of the calibration result for each hydrologic reference station in Australia.</p>
YUTO MMS Dataset, Sequence B (Lidar data, Calibration files, Groundtruth, GPS, IMU, Timestamp)
Open the record for dataset details and reuse information.
A combined study of thermohaline mixing and envelope overshooting with PARSEC: Calibration to NGC 6397 and M4
Open the record for dataset details and reuse information.
Datasets and Codes - Toward improved representation of reservoir operation at the larger scales: The role of calibration, the trade-off between reservoir release and storage, and the issue of error accumulation in long-term simulations
Open the record for dataset details and reuse information.
Spatially explicit re-harmonized terrestrial carbon densities for calibrating Integrated human-Earth System Models
<p>Soil and vegetation carbon densities play a critical role in global and regional human-Earth system models. These densities affect variables such as land use change emissions and also influence land use change pathways under climate mitigation scenarios where terrestrial carbon is assigned a carbon price. Recently, more spatially explicit, fine resolution data have become available for both soil and vegetation carbon. However, for models to effectively use these data the fine resolution data need to be reharmonized to initial land use and land cover conditions represented by these models. Without such reharmonization the carbon values may be very inaccurate for particular land types and places where the source data and the model disagree on the land use/cover type. Here we present reharmonized soil and vegetation carbon densities both at the grid cell level at 5 arcmin resolution and also aggregated to 235 water sheds for 4 different land use and 15 land cover types. These data are particularly useful as initial land carbon conditions for global Multisectoral Dynamic Models (MSD). Moreover, these data include six different statistical states calculated using distinct resampling methods for each of the land use, land cover types. These statistical states are used to define a range of possible carbon values for each land classification, and any state can be used for defining initial conditions of soil and vegetation carbon in MSD models. We make use of these statistical states to calculate spatially distinct uncertainties in the carbon densities by land type. We have implemented these data in a state-of-the-art multi sector dynamics model, namely the Global Change Analysis Model (GCAM), and show that these new data improve several land use responses in the model, especially when terrestrial carbon is assigned a carbon price. The statistical states in our data are validated against similar estimates in the literature both at a grid cell level and at a regional level. </p> <p>This is a data record which corresponds to the paper "Spatially explicit re-harmonized terrestrial carbon densities for calibrating Integrated Multisectoral Models" (Narayan et al. 2023, under review)</p> <p>We have now also added a tabular version of the dataset aggregated to GTAP's AEZ definitions as opposed to GCAM's GLUs</p> <p> </p>
VIPER Neutron Spectrometer System Thermal Ground Calibration Data
<p>Thermal calibration data for NSS in the form of a thermistor lookup table CSV and PDS4 compliant XML label. </p>
Data from: Tips and nodes are complimentary not competing approaches to the calibration of molecular clocks
Molecular clock methodology provides the best means of establishing evolutionary timescales, the accuracy and precision of which remain reliant on calibration, traditionally based on fossil constraints on clade (node) ages. Tip calibration has been developed to obviate undesirable aspects of node calibration, including the need for maximum age constraints that are invariably very difficult to justify. Instead, tip calibration incorporates fossil species as dated tips alongside living relatives, potentially improving the accuracy and precision of divergence time estimates. We demonstrate that tip calibration yields node calibrations that violate fossil evidence, contributing to unjustifiably young and ancient age estimates, less precise and (presumably) accurate than conventional node calibration. However, we go on to show that node and tip calibrations are complementary, producing meaningful age estimates, with node minima enforcing realistic ages and fossil tips interacting with node calibrations to objectively define maximum age constraints on clade ages. Together, tip and node calibrations may yield evolutionary timescales that are better justified, more precise and accurate than either calibration strategy can achieve alone.
Fig. 2 in An Early Miocene Dome-Skulled Chalicothere from the ''Arikaree'' Conglomerates of Darton: Calibrating the Ages of High Plains Paleovalleys Against Rocky Mountain Tectonism
Fig. 2. Geology of the capping sandstones and gravels of the Patrick Buttes. Crosshatching indicates buttes of the northern trend capped by the Barstovian Spoon Butte Beds; an open pattern indicates buttes of the southern trend capped by the early Hemingfordian Carpenter Ranch Formation. Gravels of the Carpenter Ranch Formation (table 1) were sampled at sites marked I through VI; gravels from localities marked by black diamonds were combined to form the composite Spoon Butte Beds sample. Site OBQ marks the acid volcanicbearing terrace gravel of the Oberg Quarries. A stippled pattern shows the reconstructed areal extent of the Lay Ranch Beds, an early Miocene paleovalley fill containing latest Arikareean mammals.
Fig. 10 in An Early Miocene Dome-Skulled Chalicothere from the ''Arikaree'' Conglomerates of Darton: Calibrating the Ages of High Plains Paleovalleys Against Rocky Mountain Tectonism
Fig. 10. Partial right mandible of the chalicothere Tylocephalonyx (UNSM 44800) with m3 and partial m2, labial view, Carpenter Ranch Formation, from the south escarpment of Deahl Butte, Goshen County, Wyoming (locality data provided in table 3).
Fig. 23 in An Early Miocene Dome-Skulled Chalicothere from the ''Arikaree'' Conglomerates of Darton: Calibrating the Ages of High Plains Paleovalleys Against Rocky Mountain Tectonism
Fig. 23. Left maxilla of the canid Phlaocyon leucosteus (UNSM 44822) with P3M2, Cow Trail Notch local fauna, Carpenter Ranch Formation, East Sturdivant Butte, Sioux County, Nebraska. Stereopair. Scale bar, 1 cm.
Data sets and Results associated with clingen-svi-comp_calibration
<p>This contains data sets and results associated with the paper "<a href="https://www.cell.com/ajhg/fulltext/S0002-9297(22)00461-X">Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria</a>" and the associated <a href="https://github.com/vpejaver/clingen-svi-comp_calibration">GitHub</a> repo. Each compressed directory contains a README file describing the files and directory structures</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.