Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The following spreadsheet shows the data that was collected during the MapAction data scramble for Cape Verde. The primary focus was for data focusing on the island of Brava.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
List of geodatasets collected for MapAction’s earthquake response deployment to Tanzania, 17/09/2016. These are intended for initial field mapping rather than being a comprehensive listing. Other datasets from the deployment will be published as they become available.
This dataset provides information about the number of properties, residents, and average property values for Hard Scramble Road cross streets in Hinsdale, NY.
This dataset provides information about the number of properties, residents, and average property values for Scramble Road cross streets in Erwin, NC.
MIT Licensehttps://opensource.org/licenses/MIT
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This data repository contains the key datasets required to reproduce the paper "Scrambled text: training Language Models to correct OCR errors using synthetic data".In addition it contains the 10,000 synthetic 19th century articles generated using GPT4o. These articles are available both as a csv with the prompt parameters as columns as well as the articles as individual text files.The files in the repository are as followsncse_hf_dataset: A huggingface dictionary dataset containing 91 articles from the Nineteenth Century Serials Edition (NCSE) with original OCR and the transcribed groundtruth. This dataset is used as the testset in the papersynth_gt.zip: A zip file containing 5 parquet files of training data from the 10,000 synthetic articles. The each parquet file is made up of observations of a fixed length of tokens, for a total of 2 Million tokens. The observation lengths are 200, 100, 50, 25, 10.synthetic_articles.zip: A zip file containing the csv of all the synthetic articles and the prompts used to generate them.synthetic_articles_text.zip: A zip file containing the text files of all the synthetic articles. The file names are the prompt parameters and the id reference from the synthetic article csv.The data in this repo is used by the code repositories associated with the project https://github.com/JonnoB/scrambledtext_analysishttps://github.com/JonnoB/training_lms_with_synthetic_data
Students can explore some of the Library of Virginia’s collections and learn how they are conserved! The Library of Virginia is the oldest cultural institution in the state and the official archive (a place where history is kept) and library of the Commonwealth. In the book To Collect, Protect, and Serve: Behind the Scenes at the Library of Virginia, Archie the Archivist, Libby the Librarian, and Connie the Conservator guide young readers through a visit to the Library of Virginia. Check out these To Collect, Protect, and Serve worksheet activities.
This dataset provides information about the number of properties, residents, and average property values for Scramble Court cross streets in Greenwood, IN.
Water Word Scramble
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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We simulate the improved information scrambling recovery schemes, i.e. ICO-scheme, MDD-scheme, and their combination, on the cloud-based quantum computer, named as Quafu and on the classical computer. The figures, raw data, and the codes of software of the three simulations are restored in the files "ico.zip", "direction.zip", and "direction_ico.zip" correspondingly.
Description from EGA:
"Bulk RNAseq data of scrambled and siRNA-mediated knock-down of the minor spliceosome snRNA U6atac in androgen-sensitive LNCaP cells (L), androgen-insensitive C4-2 (C) and 22Rv1 (R) cells and in patient derived neuroendocrine organoids PM154 (P)."
R 4.0.2 (R Development Core Team 2020) software was used.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Dataset with python codes for the paper "Role of scrambling and noise in temporal information processing with quantum systems".
Quantum scrambling describes the spreading of information into many degrees of freedom in quantum systems, such that the information is no longer accessible locally, but becomes distributed throughout the system. This idea can explain how quantum systems become classical and acquire a finite temperature, or how in black holes the information about the matter falling in is seemingly erased. We probe the exponential scrambling of a multi-particle system near a bistable point in phase space and utilize it for entanglement-enhanced metrology. A time-reversal protocol is used to observe a simultaneous exponential growth of both the metrological gain and the out-of-time-order correlator, thereby experimentally verifying the relation between quantum metrology and quantum information scrambling. Our results show that rapid scrambling dynamics capable of exponentially fast entanglement generation are useful for practical metrology, resulting in 6.8(4) dB gain beyond the Standard Quantum Limit.
https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
urban_flight_endurance_EVA
The data repository folder, " OTOCPaperData.zip" contains the data used in our manuscript Joshi et al., Phys. Rev. Lett. 124, 240505 (2020) and also available at arXiv:2001.02176. The folder contains further subfolders with self-explanatory names and description files to aid in reusing the data for any future purposes. Other finding agencies that supported our research are 1) Simons Collaboration on Ultra-Quantum Matter, a grant from the Simons Foundation (651440, P. Z.) 2) LASCEM by AFOSR No. 64896-PH-QC. 3) Austrian Science Fund through the SFB BeyondC (F71)
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Data files, in the form of Mathematica mx files, for "Information Trapping by Topologically Protected Edge States: Scrambling and the Butterfly Velocity". Included are data for the OTOCs for two models. Parameters and models are given in the file names. For the Kitaev model the form is {System size, location of perturbation, {J_0, Delta_0, mu_}, {J_1, Delta_1, mu_1}, Invariant, Invariant} (The invariant is written twice at the end due to bookkeeping). For the SSH model 'pert' refers to the location of the unitary perturbation, 'edge' refers to OTOCs only calculated at teh system boundary, and 'longt' are data for longer times. See the paper for further details.
https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The scrambled egg mix market has emerged as a significant segment within the broader ready-to-eat food industry, catering to the fast-paced lifestyle of consumers seeking convenience without compromising nutrition. Scrambled egg mix, a versatile product that simplifies the egg preparation process, is particularly po
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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A wide range of mathematical constructs, theories, and algorithms have been leveraged by cryptographers to secure valuable and sensitive digital images. Among these, image encryption based on scrambling algorithms has been extensively utilized. These scrambling techniques operate on 1D, 2D, and 3D constructs, relying on pixel-level swapping to enhance security. This research introduces a novel scrambling algorithm that employs a row- and column-based scrambling approach. The encryption process begins with an input image, from which a 2D scrambled image is generated. The columns of pixels from the input image are randomly placed into the columns of the scrambled image. Once all columns are inserted, the process is repeated to intensify the scrambling effect. A similar procedure is then applied to the rows of the image. To further enhance security, a diffusion process is applied using an XOR operation between the scrambled image and a random number stream. These random numbers are generated using the 3D Rössler chaotic system, where two chaotic streams contribute to the scrambling effect, and a third stream is used for diffusion. Both machine simulations and exhaustive security analyses demonstrate that the proposed image cipher is highly resistant to various cryptanalytic attacks, including brute-force attacks, differential attacks, and noise and data cropping attacks. Given these promising results, we recommend the proposed method for real-world applications to fully utilize its security potential.
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Wings are a key trait underlying the evolutionary success of birds, bats, and insects. For over a century, researchers have studied the form and function of wings to understand the determinants of flight performance. However, to understand the evolution of flight, we must comprehend not only how morphology affects performance, but also how morphology and performance affect fitness. Natural and sexual selection can either reinforce or oppose each other, but their role in flight evolution remains poorly understood. Here, we show that wing shape is under antagonistic selection with regard to sexual and natural selection in a scrambling damselfly. In a field setting, natural selection (survival) favored individuals with long and slender forewings and short and broad hindwings. In contrast, sexual selection (mating success) favored individuals with short and broad forewings and narrow-based hindwings. Both types of selection favored individuals of intermediate size. These results suggest that individuals face a trade-off between flight energetics and maneuverability and demonstrate how natural and sexual selection can operate in similar directions for some wing traits, that is, wing size, but antagonistically for others, that is, wing shape. Furthermore, they highlight the need to study flight evolution within the context of species’ mating systems and mating behaviors.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The following spreadsheet shows the data that was collected during the MapAction data scramble for Cape Verde. The primary focus was for data focusing on the island of Brava.