Datasets

This section provides information about the Datasets source , listing each field available for Datasets, with details about the field value type, including whether it may be used as a facet and whether it is a multi-value field. The table also contains information about whether the field may be used in the where section and whether the field the field may be used in the entity fields filter. The page also lists the fields included in each fieldset available for Datasets, and each aggregation indicator available.

Note

By default, Datasets is sorted by the relevance, unless specified differently using Sorting Results option.

Datasets Fields

Fields are used to perform searches on the source they belong to. Note: the emptiness filters can be used on any field, irrespectively of whether filtering / faceting is enabled on them.

Field	Type	Multi?	Filter?	Facet?	Description
associated_grant_ids	Literal: string	✓	✓		The Dimensions IDs of the grants linked to the publication the dataset is associated with.
associated_publication	Entity: publication_links		✓	✓	Publication linked to the dataset (single value).
associated_publication_id	Literal: string		✓		The Dimensions ID of the publication linked to the dataset (single value).
authors	Literal: json	✓	✓		Ordered list of the dataset authors. ORCIDs are included if available. [1]
category_bra	Entity: categories	✓	✓	✓	Broad Research Areas
category_for	Entity: categories	✓	✓	✓	ANZSRC Fields of Research classification (alias for most recent version).
category_for_2020	Entity: categories	✓	✓	✓	ANZSRC Fields of Research classification
category_hra	Entity: categories	✓	✓	✓	Health Research Areas
category_hrcs_hc	Entity: categories	✓	✓	✓	HRCS - Health Categories
category_hrcs_rac	Entity: categories	✓	✓	✓	HRCS – Research Activity Codes
category_icrp_cso	Entity: categories	✓	✓	✓	ICRP Common Scientific Outline
category_icrp_ct	Entity: categories	✓	✓	✓	ICRP Cancer Types
category_rcdc	Entity: categories	✓	✓	✓	Research, Condition, and Disease Categorization
category_sdg	Entity: categories	✓	✓	✓	SDG - Sustainable Development Goals
date	Literal: date		✓		The publication date of the dataset, eg “2018-01-01”.
date_created	Literal: date		✓		The creation date of the dataset.
date_embargo	Literal: date		✓		The embargo date of the dataset.
date_inserted	Literal: date		✓		Date when the record was inserted into Dimensions (note: this field does not support exact match on the data, only range filters e.g. <= or `>=’).
date_modified	Literal: date		✓		The last modification date of the dataset.
description	Literal: string				Description of the dataset.
dimensions_url	Literal: string				Link pointing to the Dimensions web application
doi	Literal: string		✓		Dataset DOI.
figshare_url	Literal: string				Figshare URL for the dataset.
funder_countries	Entity: countries	✓	✓	✓	The country linked to the organisation funding the grant, expressed as GeoNames codes.
funders	Entity: organizations	✓	✓	✓	The GRID organisations funding the dataset.
id	Literal: string		✓		Dimensions dataset ID.
journal	Entity: journals		✓	✓	The journal a data set belongs to.
keywords	Literal: string	✓	✓	✓	Keywords used to describe the dataset (from authors).
language_desc	Literal: string		✓	✓	Dataset title language, as ISO 639-1 language codes.
language_title	Literal: string		✓	✓	Dataset title language, as ISO 639-1 language codes.
license_name	Literal: string		✓	✓	The dataset licence name, e.g. ‘CC BY 4.0’.
license_url	Literal: string				The dataset licence URL, e.g. ‘https://creativecommons.org/licenses/by/4.0/’.
repository	Entity: repositories		✓	✓	Repository associated with the dataset.
research_org_cities	Entity: cities	✓	✓	✓	City of the organisations the publication authors are affiliated to, expressed as GeoNames ID and name.
research_org_countries	Entity: countries	✓	✓	✓	Country of the organisations the publication authors are affiliated to, identified using GeoNames codes (note: this field supports count: count)..
research_org_states	Entity: states	✓	✓	✓	State of the organisations the publication authors are affiliated to, expressed as GeoNames codes (ISO‌-3166-2).
research_orgs	Entity: organizations	✓	✓	✓	GRID organisations linked to the publication associated to the dataset (note: this field supports count: count).
researchers	Entity: researchers	✓	✓	✓	Dimensions researchers IDs associated to the dataset’s associated publication. Note: in most cases, these would be the same as the dataset authors.
score	Literal: float		✓		For full-text queries, the relevance score is a numerical value assigned to a document that indicates how relevant that document is for a given query. Note: the score is query-specific i.e. it cannot be used to compare documents across queries.
title	Literal: string				Title of the dataset.
year	Literal: integer		✓	✓	Year of publication of the dataset.

[1]

Returned objects contain: name, orcid

For example:

{
    "name": "Steffen Vogt",
    "orcid": ""
}

Datasets Links

The diagram below provides an overview of the outgoing links from Datasets to other sources.

Datasets Fieldsets

Fieldsets are used to specify fields groups in the context of a return statement.

Fieldset	Fields
categories	category_bra category_for category_hra category_hrcs_hc category_hrcs_rac category_icrp_cso category_icrp_ct category_rcdc category_sdg
basics	authors id journal keywords title year

Datasets Indicators

Indicators are used to aggregate results in the context of a facet query.

Indicator	Description
count	Total count

Datasets Search Indexes

Search indexes are used to perform full-text searches on the source they belong to. The default search index, which is used if none other is specified, is full_data.

Search index	Supports multi-index search	Description
title_abstract_only	✓	The keywords will be searched for in the title and description/summary.
full_data	✓	The keyword will be searched for in all data fields that are found for that document. In cases where the full text is indexed in the background this will also be searched, even though the full text may not be available to see within Dimensions itself. This will mean that many results that are returned may not include mention of the searched keyword on the document page, but are returned in the search because the keyword can be found in the full text which cannot be read. full text documents are available for both searching and reading.

Datasets Deprecations

This section lists fields and search fields that have been deprecated and should not be used.

Warning

This fields will be supported in versions 2.9.x and removed in the next major release. To ensure full compatibility with the upcoming major release, it is recommend to stop using deprecated fields as soon as possible.

Deprecated Fields

Field	Deprecation Note
repository_id	Deprecated in favor of: repository

Partially Deprecated Fields

Datasets has no partially deprecated fields.

Deprecated Search Indexes

Datasets has no deprecated search indexes.