HAP-PHB samples: films and powders

Name: HAP-PHB samples: films and powders
Creator: Oleg Gradov
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Image Processing

Citation Author(s):: Vladimir Gorshenev (Emanuel Institute of Biochemical Physics)

Margaret Gradova (Semenov Institute of Chemical Physics)

Oleg Gradov (Semenov Institute of Chemical Physics)
Submitted by:: Oleg Gradov
Last updated:: Mon, 10/26/2020 - 18:20
DOI:: 10.21227/g9d0-1056

71 views

Categories:

Image Processing

No Ratings Yet

ACCESS DATASET CITE SHARE/EMBED

Abstract

See our next articles.

Instructions:

See our next articles.

Dataset Files

HAP + PHB - film sample.zip (Size: 2.56 MB)
HAP + PHB - powder sample.zip (Size: 2.99 MB)

QUESTIONS?

Send Author a Private Message
Report a problem with this Dataset

Upload your Dataset

How to Upload Dataset Files Directly to AWS

IEEE DataPort Subscribers may upload their dataset files directly to IEEE DataPort's AWS S3 file storage. Please read the Upload Your Files directly to the IEEE DataPort S3 Bucket help topic for detailed instructions.

You will need the following information to complete your upload:

Your AWS Access Key and Secret key, which can be found on your IEEE DataPort User Profile.
DATASET TYPE: data
USERID: 1353045
DATASETID: 14627

Dataset Access

How to access this dataset

This dataset requires an IEEE DataPort Subscription.

For all the IEEE Society Members, please login now to the IEEE DataPort platform to access your FREE IEEE DataPort Subscription.

Subscribe Now

Dataset Citation

Vladimir Gorshenev, Margaret Gradova, Oleg Gradov, "HAP-PHB samples: films and powders", IEEE Dataport, October 26, 2020, doi:10.21227/g9d0-1056

@data{g9d0-1056-20,
doi = {10.21227/g9d0-1056},
url = {https://dx.doi.org/10.21227/g9d0-1056},
author = {Vladimir Gorshenev and Margaret Gradova and Oleg Gradov},
publisher = {IEEE Dataport},
title = {HAP-PHB samples: films and powders},
year = {2020} }

TY - DATA
T1 - HAP-PHB samples: films and powders
AU - Vladimir Gorshenev; Margaret Gradova; Oleg Gradov
PY - 2020
PB - IEEE Dataport
UR - 10.21227/g9d0-1056
ER -

Vladimir Gorshenev, Margaret Gradova, Oleg Gradov (2020). HAP-PHB samples: films and powders. IEEE Dataport. https://dx.doi.org/10.21227/g9d0-1056

Vladimir Gorshenev, Margaret Gradova, Oleg Gradov 2020 HAP-PHB samples: films and powders. Available at: https://dx.doi.org/10.21227/g9d0-1056

Vladimir Gorshenev, Margaret Gradova, Oleg Gradov.(2020). "HAP-PHB samples: films and powders." Web,

1. Vladimir Gorshenev, Margaret Gradova, Oleg Gradov. HAP-PHB samples: films and powders [Internet]. IEEE Dataport; 2020. Available from: https://dx.doi.org/10.21227/g9d0-1056

Vladimir Gorshenev, Margaret Gradova, Oleg Gradov, "HAP-PHB samples: films and powders,", doi: 10.21227/g9d0-1056.

Share / Embed

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

Share a link to this dataset

Permalink: https://ieee-dataport.org//documents/hap-phb-samples-films-and-powders

DOI Link: https://dx.doi.org/10.21227/g9d0-1056

Datasets

Standard Dataset

HAP-PHB samples: films and powders

Abstract

Instructions:

Dataset Files

QUESTIONS?

More from this Author

Fern stem: detection of radial and circular pecularities using FFTW-based software

Cusurbits stem: detection of radial and circular pecularities using FFTW-based software

Tilia stem: detection of radial and circular pecularities using FFTW-based software

Honeysuckle flower: multiscale nervature detection using FFTW-based sofytware

Broad bean leaf epidermis: spectrozonal and multi-angle lens-less imaging and image processing

Epidermis of allium: FFTW-based regulometry case

Oral mucosa: digital photometric lens-less spectrozonal transmittance testing of thin slices or ultrathin histological sections.

Volvox sp. (Volvox L., 1758) Pfeffer's osmometry: FFTW-based LUCAS-like real time approach

More like this Dataset

The FLAME dataset: Aerial Imagery Pile burn detection using drones (UAVs)

OSCD - Onera Satellite Change Detection

Retinal Fundus Multi-disease Image Dataset (RFMiD)

Data Fusion Contest 2019 (DFC2019)

Dataset for classification of handwritten and printed text in a Doctor's prescription

FLAME 2: Fire detection and modeLing: Aerial Multi-spectral imagE dataset