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.
43
datasets available to search
ShareScore release 0.9.0
Dataset results
43 results for “polarimetry”
Data archive for Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning
<p>This dataset contains the machine learning training data files, pretrained model weights and results for the paper Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning, submitted to Natural Hazards and Earth System Sciences, 2023.</p> <p>The radar dataset can be found at the following Zenodo repository: <a href="https://doi.org/10.5281/zenodo.6325370">https://doi.org/10.5281/zenodo.6325370</a></p> <p>For instructions for using the data, please see the GitHub code repository at <a href="http://github.com/meteoswiss/c4dl-polar">https://github.com/meteoswiss/c4dl-polar</a>. Download all the files here and extract the contents to the following subdirectories in the ML code directory:</p> <ul> <li>Training data (patches_quality-index_2020.zip or patches_*_2020.nc) -> data/2020/</li> <li>Results: (results.zip) -> runs/run*/results/</li> <li>Pretrained models (models_run*) -> runs/run*/</li> </ul>
Dataset - Experimental study of frost detectability on planetary surfaces using multicolor photometry and polarimetry
<p>This dataset contains the polarimetric measurements performed for the paper "Experimental study of frost detectability on planetary surfaces using multicolor photometry and polarimetry" (Spadaccia et al., 2023 published on Icarus). The experimental work is aimed at measuring the changes of polarimetric and photomatric signal of a regolith when frost is deposited on top, at different temperatures and different wavelengths (450, 550, 750 nm).<br> <br> The .txt files are divided on regolith simulant (CR or MGS-1) and polarimetric phase angle (5 or 16°). The reflectance is measured at phase angle 50 or 61°. Each .txt file contains the averaged information of 5 experiments for CR at temperature T=-150°C, three experiments for MGS-1 at T=-130°C ("cold") and three experiments with MGS-1 at T=-120°C. </p> <p>The columns in the .txt files contain information on:</p> <p>#time[s] #temperatures[°C] #stdv_temperatures[°C] #Qblue #stdvQblue #Rblue #stdvRblue #Qgreen #stdvQgreen #Rgreen #stdvRgreen #Qred #stdvQred #Rred #stdvRred</p> <p>Where "Q" is the measurement of Q/I, "stdv" means standard deviation of the different experiments, "R" is the reflectance measured with the monochromatic camera, "blue", "green" and "red" are the three wavelengths of the incident light (450, 550, 750 nm). </p>
Dataset for paper "All-Optical Generation and Time-Resolved Polarimetry of Magnetoacoustic Resonances via Transient Grating Spectroscopy" by Carrara P. et al.
<p>This dataset complements the publication "All-Optical Generation and Time-Resolved Polarimetry of Magnetoacoustic Resonances via Transient Grating Spectroscopy" by Carrara P. et al.</p><p>The data hierarchy is explained in the file "Readme.docx", which also reports relevant metadata.</p>
2023/07/07 HD 205289 Pupil Polarimetry Data
<p>Unsynchronized raw pupil images from 2023/07/07 (UTC) in polarimetric mode of HD 205289. Also includes a folder with dark-subtracted aligned and collapsed data.</p>
2023/09/19 DRR Pupil Polarimetry
<p>This contains the data and processing results from the <a href="https://github.com/Jashcraf/Observatory-Polarimetry/blob/main/InstrumentMuellerPolarimetry.ipynb">proposed DRR measurement</a> by Jaren Ashcraft.</p> <p>The calibration files are in `master_cals/`. The dark frames are common for all data and the flats are organized by filter. The flat files were created from the mean combination of all pupil images in that filter, effectively averaging all polarization states creating a good polarization flat.</p> <p>The dark-subtracted, flat-fielded, recentered, median-collapsed data are in the `collapsed/` folder. In the `diff` folder each file contains a data cube of exactly 2 frames. The first is the sum of `cam1 + cam2` for each simultaneous observation. The second frame is the difference `cam1 - cam2`.</p> <p>The data was processed using the <a href="https://github.com/scexao-org/vampires_dpp">vampires_dpp</a> (branch `v2.0`). The configuration file used for processing is provided `20230919_drr_pupil.toml`. For each filter we changed the `[calibrate.master_flat]` entries to match the given filter, but otherwise all settings were the same. This was automated using the `main.py` script.</p> <p>The following header data may be useful</p> <ul> <li>`RET-POS1`: WPU HWP fast-axis angle</li> <li>`X_POLARP`: IR polarizer stage angle. To get the polarizer angle subtract ~90° (e.g., `X_POLARP=90` is horizontally polarized)</li> <li>`U_FLC`: FLC state, A is relaxed, B is active (sign convention is negative, so active is negative retardance)</li> <li>`U_CAMERA`: 1 or 2, 1 is transmission 2 is reflection</li> <li>`D_IMRANG`: Image rotator stage angle</li> <li>`U_QWP1`: SCExAO QWP 1 fast-axis angle</li> <li>`U_QWP2`: SCExAO QWP 2 fast-axis angle</li> </ul>
Data from: Polarimetry of Pinctada fucata nacre indicates myostracal layer interrupts nacre structure
The inner layer of many bivalve and gastropod molluscs consists of iridescent nacre, a material that is structured like a brick wall with bricks consisting of crystalline aragonite and mortar of organic molecules. Myostracal layers formed during shell growth at the point of muscle attachment to the shell can be found interspersed within the nacre structure. Little has been done to examine the effect the myostracal layer has on subsequent nacre structure. Here we present data on the structure of the myostracal and nacre layers from a bivalve mollusc, Pinctada fucata. Scanning electron microscope imaging shows the myostracal layer consists of regular crystalline blocks. The nacre before the layer consists of tablets approximately 400 nm thick, while after the myostracal layer the tablets are approximately 500 nm thick. A new technique, imaging polarimetry, indicates that the aragonite crystals within the nacre following the myostracal layer have greater orientation uniformity than before the myostracal layer. The results presented here suggest a possible interaction between the myostracal layer and subsequent shell growth.
Data for Article: Bi-Directional Spectro-Polarimetry of Olivine Sand
<p>Update to README: Do not use the nadir BPRs (viewing zenith = 0 deg).</p>
Data from: Polarimetry of Pinctada fucata nacre indicates myostracal layer interrupts nacre structure
Open the record for dataset details and reuse information.
S-MODE Pre-Pilot Ocean Wave Slope from Visible-Band Polarimetry at the Air-Sea Interaction Tower Version 1
These wave slope data from polarimetry described below are considered preliminary and should not be used for any purpose without consulting Chris Zappa (zappa@ldeo.columbia.edu).<br><br>This data set includes tower-based measurements of ocean wave slope fields from visible-band polarimetry using a Polaris Pyxis Mono VIS polarimetric camera. The data here include wave slope fields at 30 frames per second temporal resolution and mm-scale spatial resolution over a ~2 m x 2 m area of ocean surface observed off the Air-Sea Interaction Tower (ASIT; 41°20.1950'N, 70°33.3865'W). Measurements were taken over the period from October 2019 through January 2020. Surface slopes are along two dimensions: along-look and cross-look orientations of the camera. Data was acquired for 10 minutes per hour, 8 hours per day, and each data file (netCDF-4) captures one of the 10-minute segments. Note that data files are large, 142 GB each. <br><br>Data were collected as part of a pre-pilot campaign for the S-MODE (Submesoscale Ocean Dynamics Experiment) project. The polarimetric slope sensing (PSS) technique of Zappa et al. [2008] allows one to reconstruct the water surface slope field by measuring the polarization state of reflected light at each image pixel, allowing for surface resolutions of order 1 mm with no in-water measurement component. From these data one is able to compute water surface slope variance, wave directional spreading, and the near-surface current profile.
POLARIMETRY OF PLANETARY SATELLITES
This compilation of polarimetry of planetary satellites has been compiled from the published literature and from unpublished results by Zaitsev, Rosenbush, and Kiselev. Geometric observational circumstances, calculated using the JPL Horizons ephemeris system, are also included. This version of the compilation is dated April 15, 2012.
TORINO ASTEROID POLARIMETRY V1.0
This data set contains asteroid polarimetric observations made during 1995-2005 with the Torino photopolarimeter at the 2.15-m telescope at El Leoncito Observatory in Argentina. These observations are reported in Cellino et al. (2005).
BELSKAYA ASTEROID POLARIMETRY
This data set contains UBVRI polarimetric measurements of ten main belt asteroids and one potentially hazardous near-Earth asteroid (NEA), from Belskaya et al. (2009) and Belskaya et al. (2009b).
POLARIMETRY OF TRANSNEPTUNIAN OBJECTS AND CENTAURS V3.0
The dataset contains a summary of polarimetric observations of Transneptunian objects (including Pluto-Charon system) and Centaurs published by March 19, 2013.
IHW COMET HALLEY INFRARED POLARIMETRY V1.0
NASA's International Halley Watch (IHW) has created a Comet Halley Archive. The collection of data spans the full wavelength range as submitted by scientists to the IHW. The observations belong to one of the following Disciplines: Amateur, Astrometry, Infrared Studies, Large-Scale Phenomena, Meteor Studies, Near-Nucleus Studies, Photometry and Polarimetry, Radio Studies, and Spectroscopy and Spectrophotometry. The data collected by these nine disciplines were augmented by Spacecraft measurements. The data were submitted to IHW, but the evaluation and selection for the Archive has been the primary responsibility of the Discipline Specialist Teams for each network in cooperation with the Lead Center. The data from the Infrared Polarimetry subnetwork contains 137 observations spanning dates from 1985 September 16 through 1986 June 1.
POLARIMETRY OF ASTEROID ITOKAWA
This data set contains the polarimetry of asteroid 25143 Itokawa published in Cellino et al. (2005). The observations were made from June 26 through July 3, 2004 with the Torino photopolarimeter at the 2.15 m telescope of the El Leoncito Observatory in Argentina. The degree of linear polarization was measured in five filters (Johnson-Cousins UBVRI).
TORINO ASTEROID POLARIMETRY
This data set contains asteroid polarimetric observations made during 1995-2005 with the Torino photopolarimeter at the 2.15-m telescope at El Leoncito Observatory in Argentina. These observations are reported in Cellino et al. (2005).
POLARIMETRY OF TRANSNEPTUNIAN OBJECTS AND CENTAURS
The bundle contains a summary of polarimetric observations of Transneptunian objects (including Pluto-Charon system) and Centaurs published by March 19, 2013.
TRIAD ASTEROID POLARIMETRY V2.0
This data set contains the data originally archived in TRIAD and reported in Morrison & Zellner, Asteroids (T. Gehrels, Ed., The University of Arizona Press, 1979) [MORRISON&ZELLNER1979]. It tabulates the reduced values of the polarization curves of the asteroids, namely minimum polarization, inversion angle, and polarimetric slope.
POLARIMETRY OF ASTEROID ITOKAWA V1.0
This data set contains the polarimetry of asteroid 25143 Itokawa published in Cellino et al. (2005). The observations were made from June 26 through July 3, 2004 with the Torino photopolarimeter at the 2.15 m telescope of the El Leoncito Observatory in Argentina. The degree of linear polarization was measured in five filters (Johnson-Cousins UBVRI).
POLARIMETRY OF PLANETARY SATELLITES V1.0
This compilation of polarimetry of planetary satellites has been compiled from the published literature and from unpublished results by Zaitsev, Rosenbush, and Kiselev. Geometric observational circumstances, calculated using the JPL Horizons ephemeris system, are also included. This version of the compilation is dated April 15, 2012.
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.