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Hierarchical Data Format: History, Science & Companies

Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data. Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued…

Language: English [EN]
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Hierarchical Data Format topic overview

The analysis highlights History, Science and Companies as prominent areas in the source structure around Hierarchical Data Format.

Related topics
21
Source areas
5
Connected nodes
26
Extracted relationships
9
Concept neighborhoods
11
Bridge connections
26

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

HDF5 · 8 topics
Officially supported APIs · 5 topics
Overview · 4 topics
Early history · 2 topics
HDF4 · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developed by
The HDF Group
Filename extension
.hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5
Magic number
\211HDF\r\n\032\n
Open format?
Yes [citation needed]
Type of format
Scientific data format

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Early history

HDF4

HDF5

Officially supported APIs

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Hierarchical Data Format connects Entity context

The extracted context around Hierarchical Data Format shows recurring relationship patterns in the source. For example, Hierarchical Data Format → The HDF Group Another extracted example is Hierarchical Data Format → .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5. Use these groups to spot repeated connection types before inspecting the individual relationships.

Hierarchical Data Format

Top relations

Developed by · 1
Hierarchical Data Format → The HDF Group
Filename extension · 1
Hierarchical Data Format → .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5
Magic number · 1
Hierarchical Data Format → \211HDF\r\n\032\n
Open format? · 1
Hierarchical Data Format → Yes [citation needed]
Type of format · 1
Hierarchical Data Format → Scientific data format
Website · 1
Hierarchical Data Format → www.hdfgroup.org/solutions/hdf5

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

hdf5 hdf data hdf4 format file supported api applications use group objects many interface available scientific arrays images tables accessed

Hierarchical Data Format relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around Hierarchical Data Format. Examples in this analysis include Hierarchical Data Format → Developed by → The HDF Group and Hierarchical Data Format → Filename extension → .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Hierarchical Data FormatDeveloped byThe HDF Group1.00infobox
Hierarchical Data FormatFilename extension.hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he51.00infobox
Hierarchical Data FormatMagic number\211HDF\r\n\032\n1.00infobox
Hierarchical Data FormatOpen format?Yes [citation needed]1.00infobox
Hierarchical Data FormatType of formatScientific data format1.00infobox
Hierarchical Data FormatWebsitewww.hdfgroup.org/solutions/hdf51.00infobox
stock price seriesinstance ofHDF5 works well for time series data0.80text
network monitoring datainstance ofHDF5 works well for time series data0.80text
and 3D meteorological datainstance ofHDF5 works well for time series data0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Hierarchical Data Format bring nearby vocabulary together. In this analysis, examples include Needed, Object and Hdf5. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Hierarchical Data Format
    • Needed
    • Object
    • Hdf5
    • Hdf
    • Format
    • Hierarchical
    • Library
    • Types
    • Accessed
    • Arrays
    • Datasets
    • File
  • hierarchical data format
    • Hdf4
    • Needed
    • Object
    • Hdf5
    • Hierarchical
    • Hdf
    • Format
    • File
    • Accessed
    • Arrays
    • Formats
    • Library
  • file formats
    • Dataset
    • Formats
    • Hierarchical
    • Java
    • System
    • Format
    • Accessed
    • Hdf4
    • Using
    • Different
    • Library
    • Objects
  • hdf5
    • Applications
    • Hierarchical
    • Needed
    • Center
    • Library
    • Object
    • Type
    • Version
    • Accessed
    • Group
    • Scientific
    • Supported
  • hdf4
    • Hdf5
    • Library
    • Version
    • Group
    • Many
    • Scientific
    • Supported
    • Applications
    • Developed
    • Java
    • Hierarchical
    • Type
  • national center for supercomputing applications
    • Center
    • Hdf5
    • Scientific
    • Use
    • Hierarchical
    • Information
    • Needed
    • Object
    • Hdf4
    • Format
    • Group
    • Supported
  • api
    • Different
    • Metadata
    • Type
    • Types
    • Version
    • Arrays
    • Attributes
    • Datasets
    • Groups
    • Images
    • Interface
    • Many
  • raster images
    • Tables
    • Interface
    • Using
    • Java
    • Library
    • Accessed
    • Attributes
    • Datasets
    • Groups
    • Many

Connections between topic areas Semantic bridges

For Hierarchical Data Format, one of the stronger structural bridges in this analysis connects Hierarchical Data Format with HDF5. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Hierarchical Data Format — HDF5 · splits 18 ⟂ 9
Hierarchical Data Format — Officially supported APIs · splits 21 ⟂ 6
Hierarchical Data Format — Overview · splits 22 ⟂ 5
Hierarchical Data Format — Early history · splits 24 ⟂ 3
Hierarchical Data Format — HDF4 · splits 24 ⟂ 3

Map overview Semantic statistics

Hierarchical Data Format

Nodes27
Edges26
Triples9
Avg. degree1.93
Density0.074074
Components1

Source & methodology

TTTA analyzes the structure around Hierarchical Data Format to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Science & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Hierarchical Data Format · EN edition · Analysis: TopicsToTalkAbout

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