43 datasets found
  1. A

    MapAction Cape Verde Data Scramble

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    xlsx
    Updated Mar 24, 2020
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    UN Humanitarian Data Exchange (2020). MapAction Cape Verde Data Scramble [Dataset]. https://data.amerigeoss.org/id/dataset/ma-mapaction-cape-verde-data-scramble
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    xlsxAvailable download formats
    Dataset updated
    Mar 24, 2020
    Dataset provided by
    UN Humanitarian Data Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Cabo Verde
    Description

    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.

  2. A

    MapAction Tanzania Data Scramble (as at 17 Sep 2016)

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    xlsx
    Updated Sep 14, 2022
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    UN Humanitarian Data Exchange (2022). MapAction Tanzania Data Scramble (as at 17 Sep 2016) [Dataset]. https://data.amerigeoss.org/de/dataset/ma-mapaction-tanzania-data-scramble-as-at-17-sep-2016
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    xlsxAvailable download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    UN Humanitarian Data Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tanzania
    Description

    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.

  3. o

    Hard Scramble Road Cross Street Data in Hinsdale, NY

    • ownerly.com
    Updated Dec 8, 2021
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    Ownerly (2021). Hard Scramble Road Cross Street Data in Hinsdale, NY [Dataset]. https://www.ownerly.com/ny/hinsdale/hard-scramble-rd-home-details
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    Dataset updated
    Dec 8, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Hinsdale, New York
    Description

    This dataset provides information about the number of properties, residents, and average property values for Hard Scramble Road cross streets in Hinsdale, NY.

  4. o

    Scramble Road Cross Street Data in Erwin, NC

    • ownerly.com
    Updated Jun 26, 2022
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    Ownerly (2022). Scramble Road Cross Street Data in Erwin, NC [Dataset]. https://www.ownerly.com/nc/erwin/scramble-rd-home-details
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    Dataset updated
    Jun 26, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Erwin, Scramble Road, North Carolina
    Description

    This dataset provides information about the number of properties, residents, and average property values for Scramble Road cross streets in Erwin, NC.

  5. u

    Data from: Scrambled text: training Language Models to correct OCR errors...

    • rdr.ucl.ac.uk
    zip
    Updated Sep 27, 2024
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    Jonno Bourne (2024). Scrambled text: training Language Models to correct OCR errors using synthetic data [Dataset]. http://doi.org/10.5522/04/27108334.v1
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    zipAvailable download formats
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    University College London
    Authors
    Jonno Bourne
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    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

  6. V

    Pre-K thru Elementary Resources and Activities: Word Scramble

    • data.virginia.gov
    pdf
    Updated Oct 7, 2024
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    Library of Virginia (2024). Pre-K thru Elementary Resources and Activities: Word Scramble [Dataset]. https://data.virginia.gov/dataset/pre-k-thru-elementary-resources-and-activities-word-scramble
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    pdf(233561)Available download formats
    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    Library of Virginia
    Description

    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.

  7. o

    Scramble Court Cross Street Data in Greenwood, IN

    • ownerly.com
    Updated Mar 16, 2022
    + more versions
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    Ownerly (2022). Scramble Court Cross Street Data in Greenwood, IN [Dataset]. https://www.ownerly.com/in/greenwood/scramble-ct-home-details
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    Dataset updated
    Mar 16, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Greenwood, Scramble Court, Indiana
    Description

    This dataset provides information about the number of properties, residents, and average property values for Scramble Court cross streets in Greenwood, IN.

  8. V

    Water Word Scramble ( Grades 4 to 8) Downloadable

    • data.virginia.gov
    pdf
    Updated Sep 4, 2024
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    U.S. Environmental Protection Agency (2024). Water Word Scramble ( Grades 4 to 8) Downloadable [Dataset]. https://data.virginia.gov/dataset/water-word-scramble-grades-4-to-8-downloadable
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    pdf(166795)Available download formats
    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    U.S. Environmental Protection Agency
    Description

    Water Word Scramble

  9. Experimental data for "Recovery of damaged information via scrambling in...

    • figshare.com
    zip
    Updated Jul 17, 2024
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    Tian-Ren Jin; Tian-Ming Li; Zheng-An Wang; Kai Xu; Zhang, Yu-Ran; Heng Fan (2024). Experimental data for "Recovery of damaged information via scrambling in indefinite causal order" [Dataset]. http://doi.org/10.6084/m9.figshare.25990429.v1
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    zipAvailable download formats
    Dataset updated
    Jul 17, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Tian-Ren Jin; Tian-Ming Li; Zheng-An Wang; Kai Xu; Zhang, Yu-Ran; Heng Fan
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    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.

  10. M

    Bulk RNAseq data of scrambled and siRNA-mediated knock-down of the minor...

    • datacatalog.mskcc.org
    • ega-archive.org
    Updated Aug 2, 2024
    + more versions
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    European Genome-phenome Archive (2024). Bulk RNAseq data of scrambled and siRNA-mediated knock-down of the minor spliceosome snRNA U6atac [Dataset]. https://datacatalog.mskcc.org/dataset/11312
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    Dataset updated
    Aug 2, 2024
    Dataset provided by
    MSK Library
    European Genome-phenome Archive
    Description

    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)."

  11. d

    Data for: Passive and active parental food allocation in a songbird

    • datadryad.org
    • data.niaid.nih.gov
    zip
    Updated May 11, 2023
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    Daniel Parejo-Pulido (2023). Data for: Passive and active parental food allocation in a songbird [Dataset]. http://doi.org/10.5061/dryad.crjdfn395
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    zipAvailable download formats
    Dataset updated
    May 11, 2023
    Dataset provided by
    Dryad
    Authors
    Daniel Parejo-Pulido
    Time period covered
    2023
    Description

    R 4.0.2 (R Development Core Team 2020) software was used.

  12. Data from: Role of scrambling and noise in temporal information processing...

    • zenodo.org
    zip
    Updated Jun 16, 2025
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    Weijie Xiong; Zoe Holmes; Armando Angrisani; Yudai Suzuki; Thiparat Chotibut; Supanut Thanasilp; Weijie Xiong; Zoe Holmes; Armando Angrisani; Yudai Suzuki; Thiparat Chotibut; Supanut Thanasilp (2025). Role of scrambling and noise in temporal information processing with quantum systems [Dataset]. http://doi.org/10.5281/zenodo.15674241
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    zipAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Weijie Xiong; Zoe Holmes; Armando Angrisani; Yudai Suzuki; Thiparat Chotibut; Supanut Thanasilp; Weijie Xiong; Zoe Holmes; Armando Angrisani; Yudai Suzuki; Thiparat Chotibut; Supanut Thanasilp
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset with python codes for the paper "Role of scrambling and noise in temporal information processing with quantum systems".

  13. d

    Data from: Improving metrology with quantum scrambling

    • search.dataone.org
    • datadryad.org
    Updated Apr 1, 2025
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    Zeyang Li; Simone Colombo; Chi Shu; Gustavo Velez; Saúl Pilatowsky-Cameo; Roman Schmied; Soonwon Choi; Mikhail Lukin; Edwin Pedrozo-Peñafiel; Vladan Vuletić (2025). Improving metrology with quantum scrambling [Dataset]. http://doi.org/10.5061/dryad.zkh1893fj
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Zeyang Li; Simone Colombo; Chi Shu; Gustavo Velez; Saúl Pilatowsky-Cameo; Roman Schmied; Soonwon Choi; Mikhail Lukin; Edwin Pedrozo-Peñafiel; Vladan Vuletić
    Time period covered
    Jan 1, 2023
    Description

    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.

  14. n

    Data from: Males, but not females, perform strategic mate searching...

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    zip
    Updated Apr 3, 2019
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    Danilo G. Muniz; Martha L. Baena; Rogélio Macías-Ordóñez; Glauco Machado (2019). Males, but not females, perform strategic mate searching movements between host plants in a leaf beetle with scramble competition polygyny [Dataset]. http://doi.org/10.5061/dryad.42sp54f
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    zipAvailable download formats
    Dataset updated
    Apr 3, 2019
    Dataset provided by
    Universidade de São Paulo
    Universidad Veracruzana
    Authors
    Danilo G. Muniz; Martha L. Baena; Rogélio Macías-Ordóñez; Glauco Machado
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    El Riscal, Central Veracruz, Mexico
    Description
    1. Mate searching is assumed to be performed mostly by males, but when females benefit from multiple mating or are under risk of failing to mate, they may also perform mate searching. This is especially important in scramble competition polygynies, in which mate searching is the main mechanism of mate competition. Typically, more mobile individuals are expected to achieve higher mating success because mobility increases their probability of finding mates. 2. If we assume individual movements are mainly explained by mate searching in scramble competition polygynies, we can investigate searching strategies by asking when individuals should leave their location and where they should go. We hypothesize that individuals will leave their locations when mating opportunities are scarce and will seek spatially close sites with better mating opportunities. 3. We tested these hypotheses for males and females of Leptinotarsa undecimlineata, a leaf beetle with scramble competition polygyny in which both sexes are promiscuous. Individuals mate and feed exclusively on Solanum plants, thus individual movements can be described as switches between plants. 4. Females were less likely than males to leave isolated plants, and both males and females moved preferentially to neighbouring plants. Males were more likely to leave when the local number of females was low, and the number of males was high. They moved to plants with more females, a behaviour consistent with a mate searching strategy. Females were more likely to move to plants with fewer males and many females, a behaviour consistent with male harassment avoidance. 5. Strategic movement is widely considered in foraging context, but seldom in a mate searching context. Considering that selection to minimize searching costs, maximize mating success, and minimize harassment may be ubiquitous in nature, we argue that strategic movements by mate searching individuals are likely to occur in many species.
  15. d

    Data from: Sexual selection reinforces a higher flight endurance in urban...

    • datadryad.org
    • search.dataone.org
    zip
    Updated Apr 10, 2017
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    Nedim Tüzün; Lin Op de Beeck; Robby Stoks (2017). Sexual selection reinforces a higher flight endurance in urban damselflies [Dataset]. http://doi.org/10.5061/dryad.vs078
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    zipAvailable download formats
    Dataset updated
    Apr 10, 2017
    Dataset provided by
    Dryad
    Authors
    Nedim Tüzün; Lin Op de Beeck; Robby Stoks
    Time period covered
    2017
    Description

    urban_flight_endurance_EVA

  16. o

    Data from: Quantum Information Scrambling in a Trapped-Ion Quantum Simulator...

    • explore.openaire.eu
    • zenodo.org
    Updated Jun 19, 2020
    + more versions
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    Manoj K. Joshi; Andreas Elben; Beno\^it Vermersch; Tiff Brydges; Christine Maier; Peter Zoller; Rainer Blatt; Christian F Roos (2020). Quantum Information Scrambling in a Trapped-Ion Quantum Simulator with Tunable Range Interactions [Dataset]. http://doi.org/10.5281/zenodo.4916119
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    Dataset updated
    Jun 19, 2020
    Authors
    Manoj K. Joshi; Andreas Elben; Beno\^it Vermersch; Tiff Brydges; Christine Maier; Peter Zoller; Rainer Blatt; Christian F Roos
    Description

    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)

  17. Data from: Information Trapping by Topologically Protected Edge States:...

    • zenodo.org
    bin
    Updated Sep 10, 2024
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    Martyna Sedlmayr; Martyna Sedlmayr; Hadi Cheraghi; Hadi Cheraghi; Nicholas Sedlmayr; Nicholas Sedlmayr (2024). Information Trapping by Topologically Protected Edge States: Scrambling and the Butterfly Velocity [Dataset]. http://doi.org/10.5281/zenodo.8421485
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    binAvailable download formats
    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Martyna Sedlmayr; Martyna Sedlmayr; Hadi Cheraghi; Hadi Cheraghi; Nicholas Sedlmayr; Nicholas Sedlmayr
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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://doi.org/10.1103/PhysRevB.108.184303

    https://doi.org/10.48550/arXiv.2306.00527

  18. s

    Global Scrambled Egg Mix Market Segmentation Analysis 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Scrambled Egg Mix Market Segmentation Analysis 2025-2032 [Dataset]. https://www.statsndata.org/report/scrambled-egg-mix-market-18401
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    pdf, excelAvailable download formats
    Dataset updated
    Jun 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    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

  19. f

    Average results of metrics NPCR and UACI.

    • plos.figshare.com
    xls
    Updated Jun 25, 2025
    + more versions
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    Nasreen Zulfiqar; Tauqir Ahmad; Taher M. Ghazal; Atif Ikram; Foziah Gazzawe; Marwan Ali Albahar; Abdelrahman H. Hussein; Ahmad Salman Khan (2025). Average results of metrics NPCR and UACI. [Dataset]. http://doi.org/10.1371/journal.pone.0326202.t013
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Nasreen Zulfiqar; Tauqir Ahmad; Taher M. Ghazal; Atif Ikram; Foziah Gazzawe; Marwan Ali Albahar; Abdelrahman H. Hussein; Ahmad Salman Khan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  20. n

    Data from: Antagonistic natural and sexual selection on wing shape in a...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated May 9, 2016
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    David Outomuro; Linus Söderquist; Viktor Nilsson-Örtman; María Cortázar-Chinarro; Cecilia Lundgren; Frank Johansson (2016). Antagonistic natural and sexual selection on wing shape in a scrambling damselfly [Dataset]. http://doi.org/10.5061/dryad.7ng0h
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 9, 2016
    Dataset provided by
    Uppsala University
    University of Toronto
    Authors
    David Outomuro; Linus Söderquist; Viktor Nilsson-Örtman; María Cortázar-Chinarro; Cecilia Lundgren; Frank Johansson
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Sweden
    Description

    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.

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UN Humanitarian Data Exchange (2020). MapAction Cape Verde Data Scramble [Dataset]. https://data.amerigeoss.org/id/dataset/ma-mapaction-cape-verde-data-scramble

MapAction Cape Verde Data Scramble

Explore at:
xlsxAvailable download formats
Dataset updated
Mar 24, 2020
Dataset provided by
UN Humanitarian Data Exchange
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Cabo Verde
Description

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.

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