Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Hierarchical Data Format

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…

History, Science & Companies

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Hierarchical Data Format. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

HDF5

8 related topics

Early history

2 related topics

Officially supported APIs

5 related topics

HDF4

2 related topics

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

Topics to explore

Browse the full topic structure. 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.

Map overview Semantic statistics

Hierarchical Data Format

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

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

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 Word statistics

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

Entity relationships Subject–Predicate–Object triples

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

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.