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README.md
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license: apache-2.0
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---
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license: apache-2.0
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language:
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- en
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tags:
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- NASA
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- Earth
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- Satellite
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- Knowledge Graph
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- Machine Learning
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---
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# NASA Knowledge Graph Dataset
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## Dataset Summary
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The **NASA Knowledge Graph Dataset** is an expansive graph-based dataset designed to integrate and interconnect information about satellite datasets, scientific publications, instruments, platforms, projects, data centers, and science keywords. This knowledge graph is particularly focused on datasets managed by NASA's Distributed Active Archive Centers (DAACs), which are NASA's data repositories responsible for archiving and distributing scientific data. In addition to NASA DAACs, the graph includes datasets from 184 data providers worldwide, including various government agencies and academic institutions.
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The primary goal of the NASA Knowledge Graph is to bridge scientific publications with the datasets they reference, facilitating deeper insights and research opportunities within NASA's scientific and data ecosystem. By organizing these interconnections within a graph structure, this dataset enables advanced analyses, such as discovering influential datasets, understanding research trends, and exploring scientific collaborations.
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## Dataset Structure
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### Nodes and Properties
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The knowledge graph consists of seven main node types, each representing a different entity within NASA's ecosystem:
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#### 1. Dataset
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- **Description**: Represents satellite datasets, particularly those managed by NASA DAACs, along with datasets from other governmental and academic data providers. These nodes contain metadata and attributes specific to each dataset.
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- **Properties**:
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- `globalId` (String): Unique identifier for the dataset.
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- `doi` (String): Digital Object Identifier.
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- `shortName` (String): Abbreviated name of the dataset.
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- `longName` (String): Full name of the dataset.
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- `abstract` (String): Brief summary of the dataset.
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- `cmrId` (String): Common Metadata Repository ID.
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- `daac` (String): Distributed Active Archive Center associated with the dataset.
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- `temporalFrequency` (String): Frequency of data collection (e.g., daily, monthly).
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- `temporalExtentStart` (Date): Start date of the dataset's temporal coverage.
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- `temporalExtentEnd` (Date): End date of the dataset's temporal coverage.
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- `nwCorner` (Geo-Coordinate): Northwest corner coordinate of spatial coverage.
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- `seCorner` (Geo-Coordinate): Southeast corner coordinate of spatial coverage.
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- `landingPageUrl` (URL): Webpage link to the dataset.
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- `pagerank_global` (Float): PageRank score calculated using the natural graph direction.
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- `fastrp_embedding_with_labels` (List<Float>): FastRP embedding vector considering node labels.
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#### 2. Publication
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- **Description**: This node type captures publications that reference or use datasets, particularly those from NASA DAACs and other included data providers. By linking datasets and publications, this node type enables analysis of scientific impact and research usage of NASA’s datasets.
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- **Properties**:
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- `globalId` (String): Unique identifier for the publication.
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- `DOI` (String): Digital Object Identifier.
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- `title` (String): Title of the publication.
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- `abstract` (String): Summary of the publication's content.
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- `authors` (List<String>): List of authors.
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- `year` (Integer): Year of publication.
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- `pagerank_global` (Float): PageRank score.
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- `fastrp_embedding_with_labels` (List<Float>): FastRP embedding vector.
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#### 3. ScienceKeyword
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- **Description**: Represents scientific keywords used to classify datasets and publications. Keywords provide topical context and aid in identifying research trends and related areas.
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- **Properties**:
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- `globalId` (String): Unique identifier.
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- `name` (String): Name of the science keyword.
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- `pagerank_global` (Float): PageRank score.
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- `fastrp_embedding_with_labels` (List<Float>): FastRP embedding vector.
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#### 4. Instrument
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- **Description**: Instruments used in data collection, often mounted on platforms like satellites. Instruments are linked to the datasets they help generate.
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- **Properties**:
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- `globalId` (String): Unique identifier.
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- `shortName` (String): Abbreviated name.
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- `longName` (String): Full name.
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- `pagerank_global` (Float): PageRank score.
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- `fastrp_embedding_with_labels` (List<Float>): FastRP embedding vector.
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#### 5. Platform
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- **Description**: Platforms, such as satellites or airborne vehicles, that host instruments for data collection.
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- **Properties**:
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- `globalId` (String): Unique identifier.
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- `shortName` (String): Abbreviated name.
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- `longName` (String): Full name.
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- `Type` (String): Type of platform.
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- `pagerank_global` (Float): PageRank score.
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- `fastrp_embedding_with_labels` (List<Float>): FastRP embedding vector.
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#### 6. Project
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- **Description**: NASA projects associated with datasets, often indicating a funding source or collaborative initiative for data collection and research.
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- **Properties**:
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- `globalId` (String): Unique identifier.
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- `shortName` (String): Abbreviated name.
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- `longName` (String): Full name.
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- `pagerank_global` (Float): PageRank score.
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- `fastrp_embedding_with_labels` (List<Float>): FastRP embedding vector.
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#### 7. DataCenter
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- **Description**: Represents data centers, primarily NASA DAACs, as well as other data providers in academia and government who manage and distribute datasets.
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- **Properties**:
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- `globalId` (String): Unique identifier.
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- `shortName` (String): Abbreviated name.
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- `longName` (String): Full name.
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- `url` (URL): Website of the data center.
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- `pagerank_global` (Float): PageRank score.
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- `fastrp_embedding_with_labels` (List<Float>): FastRP embedding vector.
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### Relationships
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The knowledge graph includes several relationship types that define how nodes are interconnected.
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#### 1. HAS_DATASET
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- **Description**: Connects a `DataCenter` to its `Dataset(s)`.
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- **Properties**: None.
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#### 2. OF_PROJECT
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- **Description**: Links a `Dataset` to a `Project`.
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- **Properties**: None.
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#### 3. HAS_PLATFORM
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- **Description**: Associates a `Dataset` with a `Platform`.
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- **Properties**: None.
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#### 4. HAS_INSTRUMENT
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- **Description**: Connects a `Platform` to an `Instrument`.
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- **Properties**: None.
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#### 5. HAS_SCIENCEKEYWORD
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- **Description**: Links a `Dataset` to a `ScienceKeyword`.
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- **Properties**: None.
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#### 6. HAS_SUBCATEGORY
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- **Description**: Defines hierarchical relationships between `ScienceKeyword` nodes.
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- **Properties**: None.
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#### 7. CITES
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- **Description**: Represents citation relationships between `Publication` nodes, indicating how research builds on previous work.
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- **Properties**: None.
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#### 8. HAS_APPLIED_RESEARCH_AREA
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- **Description**: Associates a `Publication` with a `ScienceKeyword`.
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- **Properties**: None.
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## Statistics
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- **Total Nodes**: **135,764**
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- **Publication**: 125,939
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- **Dataset**: 6,390
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- **ScienceKeyword**: 1,609
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- **Instrument**: 867
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- **Platform**: 442
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- **Project**: 333
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- **DataCenter**: 184
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- **Total Relationships**: **344,525**
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- **CITES**: 208,670
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- **HAS_APPLIED_RESEARCH_AREA**: 89,039
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- **HAS_SCIENCEKEYWORD**: 20,436
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- **HAS_PLATFORM**: 9,884
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- **HAS_DATASET**: 9,017
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- **OF_PROJECT**: 6,049
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- **HAS_INSTRUMENT**: 2,469
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- **HAS_SUBCATEGORY**: *(Count not provided)*
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## Data Formats
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The NASA Knowledge Graph Dataset is available in three formats:
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### 1. JSON
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- **File**: `graph.json`
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- **Description**: A hierarchical data format representing nodes and relationships. Each node includes its properties, such as `globalId`, `doi`, and `pagerank_global`.
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- **Usage**: Suitable for web applications and APIs, and for use cases where hierarchical data structures are preferred.
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#### Loading the JSON Format in Neo4j
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To load the JSON file into Neo4j, use the `apoc.load.json` procedure, which requires the APOC library:
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```cypher
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CALL apoc.load.json("file:///path/to/graph.json") YIELD value
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MERGE (n {id: value.id, label: value.label})
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SET n += value.properties
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