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  • The present dataset includes data and figures relative to the submitted paper " Detection of formation boundary using transient multicomponent electromagnetic logging while drilling method " currently under review in Journal of Petroleum Science and Engineering.
    Data Types:
    • Software/Code
    • Image
    • Dataset
  • Microstructure of co-fusion samples
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  • This is the raw data captured for a systematic review and individual participant data (IPD) meta-analysis evaluating the trends in body mass indices of obese patients with end-stage heart failure (ESHF) with ventricular assist devices (VADs) after undergoing bariatric surgery (BS). A systematic search was performed in ClinicalTrials.gov, Cochrane, Embase and PubMed on November 23rd, 2019. Additional searches were conducted in Google Scholar, websites of the most important journals for ESHF and BS, which also contained the proceedings of the most relevant scientific meetings in such specialties: -The Journal of Heart and Lung Transplantation -Journal of Cardiac Failure, Obesity Surgery -Surgery for Obesity and Related Diseases -Journals of following groups (journal families): --Journal of the American College of Cardiology --Circulation --European Heart Journal These searches were performed at different before April 20th, 2020. Multiple official indexing terms and additional relevant terms for VADs and BS were used. Studies were selected if they reported IPD for the postoperative BMI of VAD patients after undergoing BS. Only patients with VAD support at the time of BS were included in the study. References selection, and data extraction were performed independently and in parallel by two investigators. In cases of disagreements, consensus was attempted through discussion, but if that was not achieved, a third investigator helped to solve the tie by simple majority. This database contains the most relevant variables from an ESHF and BS stand point. More details about data description and analyses can be found in the meta-analysis and data publication related to this project.
    Data Types:
    • Image
    • Tabular Data
    • Dataset
    • Document
  • ‘Photocell’ dataset 97 red sweet peppers (cultivar: Banji; seed company: Efal) and 102 yellow sweet peppers (cultivar: Liri; Seed company: Hazera) from maturity classes 1–4 were harvested from a commercial greenhouse in Kmehin, Israel in January 2019. Each pepper was manually placed inside a photocell, to ensure uniform illumination; each of the four photocell sides included three light-emitting diodes (LED) spots of 35 watts each [46], resulting in total illumination of 49 lux. Images were acquired using an IDS Ui-5250RE RGB color camera with a resolution of 1600 x 1200 pixels, placed 38 cm above the black cell floor. Images of each pepper were acquired from four viewpoints: three from the sides of the peppers, taken in no particular order, and the bottom viewpoint of the pepper. ‘Robotic’ dataset 69 red and 70 yellow peppers from maturity classes 2, 3, and 4 were harvested from the same commercial greenhouse in Kmehin, Israel, in November 2019. No peppers were collected from class 1 since we assumed that immature peppers that are entirely green would not be detected by a harvesting robot. Each pepper was individually attached to a pepper plant at a random orientation in a lab environment without controlled illumination. The peppers were attached to the plant hanging down straight in a way that does not create occlusion by leaves or stems and prevents overlap between peppers. Images for each pepper were acquired from three side viewpoints from the same height. No pictures of the bottom viewpoint were taken since it is not always feasible for harvesting robots due to plant parts that prevent the robot from reaching the pepper from the bottom. The images were acquired using an Intel RealSense D435 RGB-D (color + depth) camera mounted on a Sawyer robotic 7-degree-of-freedom torque-controlled arm from Rethink Robotics. Automatic exposure and white-balance were enabled. The use of the robotic arm enables images from the three viewpoints to be made from the same pose for all peppers. The dataset, which is published as part of this paper, resulted in 417 RGB-D images of the different sides of the peppers and the whole pepper ground truth information of their maturity class. ‘Orientation’ dataset As part of the ‘robotic’ dataset collection, 14 red peppers and 14 yellow peppers from maturity classes 2 and 3 (seven from each of class) were taken from the peppers harvested for the robotic dataset. Each pepper was placed hanging straight down in a random orientation on a pepper plant in the lab. Images from three viewpoints were acquired for each pepper three times, and each time the pepper was twisted 120˚ clockwise around the z-axis, resulting in a different surface of the pepper facing the camera from the initial viewpoint. This collection produced a dataset of 252 RGB images.
    Data Types:
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  • Original blots for Figures 2BC, 5D, 5F, S5, and S6
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  • Data is associated with the submitted manuscript title " Climate models predict a divergent future for the medicinal tree Boswellia serrata Roxb. in India"
    Data Types:
    • Image
    • Dataset
    • Document
  • Supplemental figure 1. Female pattern hair loss. Dermoscopic examination of the mid-scalp in a man with Sinclair grade 4 female pattern hair loss showing hair shaft diameter variability >20%, vellus hairs and single follicular units. Supplemental figure 2. Female pattern hair loss. 3-mm punch biopsy specimen tak-en from affected scalp showing diffuse miniaturization of hair follicles with adjacent full-sized sebaceous glands [hematoxylin and eosin, original magnification (a) x 100; (b) x 200].
    Data Types:
    • Image
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  • dataset de caixas
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    • Image
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  • Human herpesvirus 6B greatly increases risk of depression by activating hypothalamic-pituitary-adrenal axis during latent phase of infection.
    Data Types:
    • Software/Code
    • Slides
    • Image
    • Tabular Data
    • Dataset
  • This dataset consists of 2702 audio files (Mono, 16 kHz, 32-bit float in *.wav format) classified as Vietnamese questions. The dataset is useful for various Vietnamese question / intention detection research and development activities. Copyright 2018 FPT Corporation Permission is hereby granted, free of charge, non-exclusive, worldwide, irrevocable, to any person obtaining a copy of this data or software and associated documentation files (the “Data or Software”), to deal in the Data or Software without restriction, including without limitation the rights to use, copy, modify, remix, transform, merge, build upon, publish, distribute and redistribute, sublicense, and/or sell copies of the Data or Software, for any purpose, even commercially, and to permit persons to whom the Data or Software is furnished to do so, subject to the following conditions: The above copyright notice, and this permission notice, and indication of any modification to the Data or Software, shall be included in all copies or substantial portions of the Data or Software. THE DATA OR SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATA OR SOFTWARE OR THE USE OR OTHER DEALINGS IN THE DATA OR SOFTWARE. Patent and trademark rights are not licensed under this FPT Public License.
    Data Types:
    • Dataset
    • Audio