100+ datasets found
  1. h

    glove-200-angular

    • huggingface.co
    Updated Jan 7, 2025
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    open vector database (2025). glove-200-angular [Dataset]. https://huggingface.co/datasets/open-vdb/glove-200-angular
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    open vector database
    Description

    Dataset Overview

    dataset: glove-200-angular

      Metadata
    

    Creation Time: 2025-01-07 11:29:01+0000 Update Time: 2025-01-07 11:29:21+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

    This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of the… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/glove-200-angular.

  2. w

    Websites using Angular

    • webtechsurvey.com
    csv
    + more versions
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    WebTechSurvey, Websites using Angular [Dataset]. https://webtechsurvey.com/technology/angular
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Angular technology, compiled through global website indexing conducted by WebTechSurvey.

  3. h

    glove-50-angular

    • huggingface.co
    Updated Jan 7, 2025
    + more versions
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    open vector database (2025). glove-50-angular [Dataset]. https://huggingface.co/datasets/open-vdb/glove-50-angular
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    open vector database
    Description

    Dataset Overview

    dataset: glove-50-angular

      Metadata
    

    Creation Time: 2025-01-07 11:13:35+0000 Update Time: 2025-01-07 11:13:46+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

    This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of the… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/glove-50-angular.

  4. R

    Angular Material Component Model Dataset

    • universe.roboflow.com
    zip
    Updated Aug 21, 2023
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    AISchemaYOLO (2023). Angular Material Component Model Dataset [Dataset]. https://universe.roboflow.com/aischemayolo/angular-material-component-model/dataset/1
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    zipAvailable download formats
    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    AISchemaYOLO
    License

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

    Variables measured
    Component Bounding Boxes
    Description

    Angular Material Component Model

    ## Overview
    
    Angular Material Component Model is a dataset for object detection tasks - it contains Component annotations for 201 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).
    
  5. e

    angular.dev Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated Sep 1, 2025
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    (2025). angular.dev Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/angular.dev
    Explore at:
    Dataset updated
    Sep 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank, Computer Software & Development Category Rank
    Description

    Traffic analytics, rankings, and competitive metrics for angular.dev as of September 2025

  6. e

    angular.io Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated Sep 1, 2025
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    (2025). angular.io Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/angular.io
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    Dataset updated
    Sep 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank
    Description

    Traffic analytics, rankings, and competitive metrics for angular.io as of September 2025

  7. w

    Websites using angular-data-table

    • webtechsurvey.com
    csv
    Updated Aug 25, 2025
    + more versions
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    WebTechSurvey (2025). Websites using angular-data-table [Dataset]. https://webtechsurvey.com/technology/angular-data-table
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 25, 2025
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the angular-data-table technology, compiled through global website indexing conducted by WebTechSurvey.

  8. o

    Angular Street Cross Street Data in Burlington, IA

    • ownerly.com
    Updated Dec 9, 2021
    + more versions
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    Ownerly (2021). Angular Street Cross Street Data in Burlington, IA [Dataset]. https://www.ownerly.com/ia/burlington/angular-st-home-details
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    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Burlington, Iowa, Angular Street
    Description

    This dataset provides information about the number of properties, residents, and average property values for Angular Street cross streets in Burlington, IA.

  9. h

    nytimes-256-angular

    • huggingface.co
    Updated Jan 7, 2025
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    open vector database (2025). nytimes-256-angular [Dataset]. https://huggingface.co/datasets/open-vdb/nytimes-256-angular
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    open vector database
    Description

    Dataset Overview

    dataset: nytimes-256-angular

      Metadata
    

    Creation Time: 2025-01-07 11:44:42+0000 Update Time: 2025-01-07 11:44:49+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

    This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/nytimes-256-angular.

  10. A

    Angular Pin Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 12, 2025
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    Data Insights Market (2025). Angular Pin Report [Dataset]. https://www.datainsightsmarket.com/reports/angular-pin-1825033
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jan 12, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Angular Pin market size was estimated at USD XXX million in 2025 and is projected to grow at a CAGR of XX% from 2025 to 2033, reaching USD XXX million by the end of the forecast period. The growth of the market is attributed to increasing demand from the industrial, automotive, aerospace, and medical sectors. Industrial applications account for the largest share of the market due to the growing use of angular pins in precision molding applications. Major drivers of the market include rising industrialization, increasing adoption of automation, and technological advancements. Additionally, the increasing demand for lightweight and durable materials in various industries is contributing to the growth of the Angular Pin market. However, factors such as high production costs and stringent regulations can restrain the market growth to some extent. Key players in the market include Suzhou Meite PRECISION Mold Standard PARTS, YuBo Mold Part, Taizhou Huangyan Jingzhan Mould Parts, DGMF Mold Clamps, HUANGYAN JINHONG MOULD PARTS CO.,LTD. (HJMP), Dalian Dongfei Special Steel Products, Gannon Norton Metal & Tools, Helong Holdings Industry Limited, NC Network, and SUN RISE TECHNOLOGIES.

  11. D

    Angular Sensors Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Angular Sensors Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/angular-sensors-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Angular Sensors Market Outlook



    The global angular sensors market size is projected to grow significantly from USD 2.5 billion in 2023 to USD 4.3 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 6.1%. The market's growth is propelled by increasing demand across various industrial sectors, where precision and accuracy are crucial. The automotive industry, in particular, drives this growth as the need for advanced driver-assistance systems (ADAS) and autonomous vehicles rises. Other contributing factors include technological advancements and rising investments in research and development to enhance sensor capabilities and applications.



    One of the key growth factors of the angular sensors market is the rapid advancement in automotive technology. As automotive manufacturers invest heavily in developing autonomous vehicles and enhancing existing vehicle systems, the demand for high-precision sensors like angular sensors increases. These sensors are vital for detecting the angular position and orientation of vehicle components, thereby facilitating effective vehicle control and safety measures. Additionally, the integration of Electric Vehicles (EVs) is further bolstering demand, as angular sensors play a crucial role in battery management systems and drive-by-wire technologies.



    Another significant factor contributing to the market growth is the proliferation of industrial automation. Industries are increasingly adopting automation to enhance productivity, efficiency, and precision in manufacturing processes. Angular sensors are integral components in robotic systems and machinery, providing accurate feedback on position and movement, which is essential for precise control and operation. This trend is particularly noticeable in sectors such as electronics and semiconductors, where precision is paramount, thus driving the demand for advanced angular sensing solutions.



    The healthcare sector also presents lucrative growth opportunities for the angular sensors market. The increasing use of robotics in surgical procedures and the development of advanced medical devices require precise motion control and positioning, where angular sensors find extensive applications. Moreover, the miniaturization of sensors and the development of wearable medical devices are further propelling market growth. These devices rely on angular sensors for accurate data collection related to patient movement and positioning, enhancing patient care and diagnosis.



    From a regional outlook, the Asia Pacific region is anticipated to be a major growth contributor to the angular sensors market, driven by the booming automotive and manufacturing sectors in countries like China, Japan, and India. The presence of numerous consumer electronics manufacturers and the increasing adoption of automation in industrial processes are further supporting regional market growth. Meanwhile, North America and Europe are expected to maintain steady growth, with a focus on technological innovations and advancements in automotive and aerospace applications. The Middle East & Africa and Latin America regions are also witnessing gradual market expansion due to rising industrialization and infrastructural developments.



    Type Analysis



    The angular sensors market is segmented by type into Incremental Angular Sensors and Absolute Angular Sensors. Incremental angular sensors are widely used in applications where the relative measurement of angular position from a known point is required. These sensors are preferred for their simplicity and cost-effectiveness, making them a popular choice in various industries, particularly in automotive and consumer electronics. Incremental sensors provide real-time feedback on motion, which is critical for applications like rotary encoders in industrial machinery and robotics, where accurate position tracking is essential for automation processes.



    On the other hand, absolute angular sensors measure the exact angle of rotation from a fixed reference point, offering more precision and reliability compared to incremental types. These sensors are essential in applications where precise position measurement over multiple rotations is crucial, such as in aerospace and medical devices. The adoption of absolute angular sensors is growing due to the increasing need for accuracy and reliability in critical applications, where even small errors can lead to significant operational issues. As technology advances, the cost of absolute sensors is decreasing, making them more accessible for various applications.



    Another aspect driving the type segm

  12. o

    angular/articular

    • opencontext.org
    Updated Sep 30, 2022
    + more versions
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    Virginia L Butler; Kristine M Bovy; Sarah K Campbell; Michael A Etnier; Sarah L Sterling (2022). angular/articular [Dataset]. https://opencontext.org/types/7da291ff-54d7-41c7-86ca-3c189d9141c9
    Explore at:
    Dataset updated
    Sep 30, 2022
    Dataset provided by
    Open Context
    Authors
    Virginia L Butler; Kristine M Bovy; Sarah K Campbell; Michael A Etnier; Sarah L Sterling
    License

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

    Description

    An Open Context "types" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This record is part of the "The Čḯxʷicən Fishbone Project" data publication.

  13. w

    Websites using @angular/platform-browser

    • webtechsurvey.com
    csv
    Updated Nov 24, 2024
    + more versions
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    WebTechSurvey (2024). Websites using @angular/platform-browser [Dataset]. https://webtechsurvey.com/technology/@angular-platform-browser
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 24, 2024
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the @angular/platform-browser technology, compiled through global website indexing conducted by WebTechSurvey.

  14. o

    angular, coarse

    • opencontext.org
    Updated Oct 3, 2022
    + more versions
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    Bradley Parker; Peter Cobb (2022). angular, coarse [Dataset]. https://opencontext.org/types/b112b148-58f4-4535-383d-29f0f8953492
    Explore at:
    Dataset updated
    Oct 3, 2022
    Dataset provided by
    Open Context
    Authors
    Bradley Parker; Peter Cobb
    License

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

    Description

    An Open Context "types" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This record is part of the "Kenan Tepe" data publication.

  15. z

    C∆G-E: A Unified Angular Framework from Compact Objects to the Higgs Field

    • zenodo.org
    pdf
    Updated Apr 27, 2025
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    David Souday; David Souday (2025). C∆G-E: A Unified Angular Framework from Compact Objects to the Higgs Field [Dataset]. http://doi.org/10.5281/zenodo.15272800
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    pdfAvailable download formats
    Dataset updated
    Apr 27, 2025
    Dataset provided by
    Zenodo
    Authors
    David Souday; David Souday
    License

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

    Time period covered
    Feb 25, 2025
    Description

    C∆GE: Unifying Compact Objects Through Angular Information

    Abstract

    ∆θ₀ – The Angular Quantum of Space-Time

    In the ∆ngular framework, the structure of the universe is fundamentally discrete, not in position or length, but in orientation. At the heart of this geometry lies a fundamental angular increment:

    ∆θ₀ ≈ 6 × 10⁻¹¹ rad

    This value is not derived from arbitrary assumptions. It corresponds to the smallest distinguishable angular variation in a compact system—a scale below which rotational distinctions become physically meaningless.

    From this, a key relation emerges:

    N = 2π / ∆θ₀ ≈ 10¹¹

    This means a full rotation contains approximately 100 billion discrete angular states. Each state can be interpreted as a fundamental unit of orientation, forming the minimal resolution for any rotational or structural transformation.

    This reinterpretation of fundamental constants as angular invariants suggests that mass, gravity, and time do not emerge from continuous fields, but from transitions between discrete angular microstates. ∆θ₀ thus acts as the irreducible unit of transformation, a pivot between geometry and information.

    The C∆G-E equation defines the fundamental law of the angular theory. It expresses mass, radiation, and structure not as intrinsic properties of matter, but as emergent features of angular information.

    In this model, each compact object is a phase state of a unified geometric field, quantized by the fundamental angular increment.

    With ∆ngular Theory, the N∆O is not a fundamental object but an emergent angular configuration.

    The true fundamental entity is the minimal angular increment (∆θ₀), whose discrete transitions generate the very existence of distinct configurations

    Whether microscopic or cosmological, all entities, particles, pulsars, black holes, are emergent from reconfigurations of discrete angular transitions (Δθ₀), not from fixed nodes.

    The fundamental structure is not a node itself, but the minimal angular difference between informational states: the Δngular Increment.

    From quantum fields to galactic flows, the topology of matter reflects one invariant law:

    mass = geometry × rotation × entropy modulation

    (all quantities emerging from ∆θ₀ transitions)

    This gives rise to a continuous spectrum of angular states:

    Each N∆O state corresponds to a quantized angular configuration of spacetime.

    The lower the ∆θ₀, the more inert the node; the higher, the more active.

    This angular discreteness naturally unfolds into distinct classes of phase states.

    Unified Angular Typology (N∆O Spectrum)

    → Z₀ – N∆O : Boundary Node
      (standard view: black holes / gravastars)
      ∆θ₀ → 0

    → S₁ – N∆O : Spin Node
      (standard view: pulsars / neutron stars)
      ∆θ₀ ≈ 10⁻⁴

    → X₃ – N∆O : Flare Node
      (standard view: magnetars / Higgs boson)
      ∆θ₀ ≈ 10⁻³ to 10⁷

    → C₄ – N∆O : Seed Node
      (standard view: dark energy condensates / stellar nurseries)
      ∆θ₀ low, S_eff low

    → G₂ – N∆O : Drift Node
      (standard view: Laniakea / Great Attractor)
      ∆θ₀ macro-scale

    Among the possible angular states, C₄ – N∆O Seed Node occupy a unique position.

    Defined by a low but nonzero ∆θ₀ and minimal effective entropy, they represent highly ordered angular configurations within the informational lattice of spacetime. In the ∆ngular framework, low S_eff implies maximal reorganization capacity, a dormant but structured node, ready to be reactivated.

    A C₄ – N∆O is neither extinguished like Z0 nor unstable like X3, it is a geometric node in waiting, already organized.

    If an external perturbation occurs (accretion, angular coupling, or resonance with a local rotational field within a galactic arm, itself structured by larger-scale ∆θ₀ gradients such as those driven by Sagittarius A*), this node can undergo a phase transition:

    toward S1–N∆O (torsional reactivation, pulsar)
    or toward X3–N∆O (angular excitation, gamma flare), depending on the ∆θ₀ dynamics.

    This opens a fundamental reinterpretation of stellar formation.

    Rather than forming solely through gravitational collapse of baryonic clouds, stars may emerge from the reactivation of dormant C4–N∆O nodes, geometrically encoded within low-entropy nebular environments.

    These transitions would be guided by the angular architecture of large-scale structure, in which each star appears as a local resonance in a rotating network, from molecular cloud to galactic disk.

    Observations of stellar nurseries in infrared, such as the Sh2-54 nebula, reinforce this hypothesis. These vast molecular clouds, opaque and seemingly inert, are in fact cradles of hundreds of new stars.

    In the ∆ngular view, such regions correspond to C4–N∆O zones, where angular information is silently organized, awaiting activation.

    Equation (1) still governs the transition:

    m(s) = (∆θ₀)^α × exp[ - τ² / (4 × S_eff(s)) ] × [ 1 + ε × cos(∆θ₀ × δ × s × T(s)) ]^β

    where tau becomes a function of local angular perturbations, and the geometric structure of the node determines its ability to radiate, rotate, or reconfigure into luminous matter.

    Conclusion

    C4–N∆O may represent the invisible scaffolding of stellar genesis, angular condensates from which mass and luminosity emerge, not by gravitational collapse, but by topological excitation.

    This perspective reconciles stellar physics with a nonsingular cosmology based on information, where the universe self-organizes through geometry, not through fall.

    Angular Emission Mechanism

    High-energy emissions are not stochastic — they result from crossing discrete angular thresholds encoded by ∆θ₀.

    The relation:

      ∆θ₀ ∝ (ν_rot × R_NS) / c

    links the quantum of angular deviation to rotation (ν_rot) and radius (R_NS).

    This modulates:

    → entropy release
    → magnetic torsion
    → gamma-ray signatures

    Information Transfer Between Compact States

    When a pulsar emerges from a black hole or overcompressed neutron star, it inherits the angular memory of its progenitor. This transfer is described by:

      ∆θ₀_Pulsar = (G M Ω) / c³

    with:

    G = gravitational constant
    M = progenitor mass
    Ω = spin rate
    c = speed of light

    This accounts for observed correlations between:

    → spin-down rates
    → surface magnetic fields
    → gamma-ray luminosities

    No Singularities — Only Reconfiguration

    C∆G-E eliminates the need for singularities. Each N∆O state represents a different angular configuration, not a rupture, but a transition. The geometry encodes and transmits information without loss:

      [∆θ₀, S_eff] = iħ

    This commutator captures the duality between angular quantization and entropy structuring, bridging gravitational and quantum regimes.

    Note on Generality of Application

    While the Higgs boson is used here as an X₃–N∆O exemplar, the framework applies broadly — to any Standard Model particle, compact astrophysical object, or cosmological attractor.

    The same angular law governs both the microstructure of quantum fields and the macro-organization of the universe:

    → from electrons and quarks
    → to Sagittarius A*
    → to Laniakea Supercluster

    C∆GE is not a model of objects, but a geometry of transitions.

    ❇️❇️❇️

    Analytical Strategy

    Translate Astrophysical Parameters into Angular Variables

    Mass (M), spin (a), and charge (Q) of compact objects are reformulated in terms of ∆ngular variables:

     M, a, Q → ∆θ₀, S(s), T(s)

    Example: for a fast-rotating neutron star (ν_rot ≈ 1 kHz, R_NS ≈ 10⁶ cm), we obtain:

     ∆θ₀ ≈ (ν_rot × R_NS) / c ≈ 10⁻⁴ rad

    This angular quantum sets the scale for all derived quantities.

    Model Angular Transitions Across N∆O States

    We solve the C∆G-E pivot equation to simulate the emergence and evolution of compact objects:

     m(s) = (∆θ₀)² × exp(−τ² / 4 S_eff(s)) × [1 + ε cos(∆θ₀ δ s T(s))]

    This allows us to:

    – track the pulsar → magnetar → black hole sequence
    – infer τ(s) from spectral features and glitch recovery times
    – connect τ to magnetic field strength via:

     τ ∝ √(B² R_NS³)

    Validate with Observational Data

    – Reconstruct spin-down diagrams (P–Ṗ) from ∆ngular modulation
    – Match predicted gamma-ray cutoffs to Fermi-LAT spectra
    – Estimate entropy gradients from observed glitch amplitudes and recovery timescales



    Implications

    → Quantum Gravity from Angular Granularity
    Pulsars serve as natural detectors of ∆θ₀-scale geometry (∼10⁻⁴ rad), offering a laboratory for probing quantum-gravitational structure through rotation and emission patterns.

    → Unified

  16. v

    Global import data of Angular

    • volza.com
    csv
    Updated Oct 29, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Angular [Dataset]. https://www.volza.com/imports-united-states/united-states-import-data-of-angular-from-japan
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 29, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    633 Global import shipment records of Angular with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  17. g

    XPlanning data set BPL “Angular mats (1st amendment)”

    • gimi9.com
    + more versions
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    XPlanning data set BPL “Angular mats (1st amendment)” [Dataset]. https://gimi9.com/dataset/eu_77188e2b-eee1-49b1-a708-50a862a56ee0
    Explore at:
    License

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

    Description

    The development plan (BPL) contains the legally binding settlements for the urban planning order. In principle, the development plan must be developed from the land use plan. The available data is the development plan “Winkelmatten (1st amendment)” of the municipality Grenzach-Wyhlen from XPlanung 5.0. Description: Partial change Measures of structural use and building regulations.

  18. t

    Sampling and Reconstructing Angular Domains with Uniform Arrays - Dataset -...

    • service.tib.eu
    Updated Dec 16, 2024
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    (2024). Sampling and Reconstructing Angular Domains with Uniform Arrays - Dataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/sampling-and-reconstructing-angular-domains-with-uniform-arrays
    Explore at:
    Dataset updated
    Dec 16, 2024
    Description

    The dataset used in this paper for sampling and reconstructing angular domains with uniform arrays.

  19. Data from: MGS MARS/MOONS MAG/ER MAPPING ER ANGULAR FLUX V1.0

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Aug 23, 2025
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    National Aeronautics and Space Administration (2025). MGS MARS/MOONS MAG/ER MAPPING ER ANGULAR FLUX V1.0 [Dataset]. https://catalog.data.gov/dataset/mgs-mars-moons-mag-er-mapping-er-angular-flux-v1-0-1dfff
    Explore at:
    Dataset updated
    Aug 23, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    This data set consists of calibrated, time-ordered, angle-resolved electron flux data from the Electron Reflectometer (ER) instrument on the Mars Global Surveyor (MGS) spacecraft. The primary data consist of time-series tables with descriptive headers. The data set also includes ancillary data (including geometry), documentation, and browse plots.

  20. U

    Ultra High Precision Angular Contact Ball Bearings Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 31, 2025
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    Archive Market Research (2025). Ultra High Precision Angular Contact Ball Bearings Report [Dataset]. https://www.archivemarketresearch.com/reports/ultra-high-precision-angular-contact-ball-bearings-219877
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    doc, pdf, pptAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The ultra-high precision angular contact ball bearing market is experiencing robust growth, driven by increasing demand across diverse sectors. The market, estimated at $1.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This expansion is fueled primarily by the burgeoning automation and robotics industries, where these bearings are crucial for ensuring precise movement and high-speed operation in sophisticated machinery. Further contributing to market growth are advancements in semiconductor manufacturing, requiring ever-higher precision in equipment, and the expanding aerospace and defense sectors, demanding superior reliability and durability in critical applications. Key players like NSK, SKF, Schaeffler Group, and others are driving innovation through improved material science, advanced manufacturing processes, and the development of specialized bearing designs to meet evolving application requirements. While the market faces certain restraints such as high initial investment costs associated with implementing ultra-high precision bearings and potential supply chain disruptions, these are mitigated by the significant long-term benefits of increased efficiency, reduced downtime, and enhanced product quality. Segmentation within the market is primarily driven by industry verticals (semiconductor, aerospace, robotics), bearing size, and material composition. The continued technological advancements in related fields are expected to further propel the market's growth trajectory in the coming years, creating opportunities for existing players and new entrants alike. The forecast suggests substantial market expansion, with a considerable increase in the overall value by 2033.

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open vector database (2025). glove-200-angular [Dataset]. https://huggingface.co/datasets/open-vdb/glove-200-angular

glove-200-angular

open-vdb/glove-200-angular

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jan 7, 2025
Dataset authored and provided by
open vector database
Description

Dataset Overview

dataset: glove-200-angular

  Metadata

Creation Time: 2025-01-07 11:29:01+0000 Update Time: 2025-01-07 11:29:21+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of the… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/glove-200-angular.

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