Air Quality Utilizing Indoor AI Sensors (AQUINAS) - Input data


Abstract

This research provides knowledge on the performance and limitations of low-cost environmental sensors in real usage conditions. The EQ-OX platform will be used and the collected data will be compared to those of the reference station. The main purpose of this research is to compare these data and try to correct them through the use of machine learning algorithms.

FAIR Overall Score

96%

Keywords

air quality, low-cost sensors, temperature, humidity

Digital Object Identifier (DOI)

https://doi.org/10.48784/1ec25e9f-ab2f-4535-8474-63d3a6a7d52e

Citation

Access restricted. To access the data, please contact the persons listed in "Point of contact" section.

Attribution 4.0 International (CC BY 4.0): You are free to share and adapt under the following conditions: attribution and no additional restriction. (https://creativecommons.org/licenses/by/4.0/deed.en)

Contact for metadata

Eurac Research - Center for Sensing Solutions
supportcss@eurac.edu
Viale Druso, 1 / Drususallee 1, eurac research, Bolzano, Autonomous Province of Bolzano, 39100, Italy


FAIR Overall Score: 96%

Evaluated by F-UJI - An Automated FAIR Data Assessment Tool: https://doi.org/10.5281/zenodo.6361400

Findable 100%
Accessible 100%
Interoperable 100%
Reusable 83%
Findable Advanced
Metadata and data are assigned a globally unique identifier.
FsF-F1-01MD · 1/1
  • Metadata identifier follows a defined unique identifier syntax or scheme (IRI, URL, UUID, HASH or PID) (1/1)
Metadata and data are assigned a persistent identifier.
FsF-F1-02MD · 1/1
  • Metadata identifier follows a defined persistent identifier syntax (0.5/0.5)
  • Persistent identifier for metadata is registered and maintained by a PID authority (0.5/0.5)
Metadata includes descriptive core elements (creator, title, data identifier, publisher, publication date, summary and keywords) to support data findability.
FsF-F2-01M · 2/2
  • Core data citation metadata is available (1/1)
  • Core descriptive metadata is available (1/1)
Metadata includes the identifier of the data it describes.
FsF-F3-01M · 1/1
  • Metadata contains a PID or URL which indicates the location of the downloadable data content (1/1)
Metadata is offered in such a way that it can be registered or indexed by search engines.
FsF-F4-01M · 2/2
  • Metadata is given in a way major search engines can ingest it for their catalogues (Dublin Core or schema.org or DCAT encoded in microdata, RDFa, embedded JSON-LD or meta tags see e.g. Google Dataset Search webmaster guidelines) (2/2)
Accessible Advanced
Metadata contains access level and access conditions of the data.
FsF-A1-01M · 1/1
  • Information about access restrictions or rights can be identified in metadata (1/1)
Metadata and data are retrievable by their identifier
FsF-A1-02MD · 2/2
  • Metadata are retrievable via their specified identifier (1/1)
  • Data are retrievable via the identifiers given in metadata (1/1)
A standardized communication protocol is used to access metadata and data.
FsF-A1.1-01MD · 2/2
  • Identifier leading to metadata matches a scheme indicating a standardized web communication protocol. (1/1)
  • Identifier leading to data are matching a schema indicating a standardized web communication protocol. (1/1)
Metadata and data are accessible through a standardized communication protocol which supports authentication.
FsF-A1.2-01MD · 2/2
  • The communication protocol found in identifiers (IRIs) leading to metadata supports authentication. (1/1)
  • The communication protocol identified in data links (IRIs) supports authentication. (1/1)
Interoperable Advanced
Metadata is represented using a formal knowledge representation language.
FsF-I1-01M · 2/2
  • Parsable, structured metadata (JSON-LD, RDFa) is embedded in the landing page XHTML/HTML code (2/2)
  • Parsable, structured metadata (RDF, JSON-LD) is accessible through content negotiation, typed links or sparql endpoint (2/2)
Metadata uses registered semantic resources
FsF-I2-01M · 2/2
  • Metadata uses terms from registered vocabularies that are identified by their namespaces (2/2)
Metadata includes qualified references between the data and its related entities.
FsF-I3-01M · 2/2
  • Related resources are referenced in plain text within appropriate metadata properties indicating the relation type (2/2)
  • Related resources are referenced by machine readable links or identifiers within appropriate metadata properties indicating the relation type (2/2)
Reusable Moderate
Metadata specifies the content of the data.
FsF-R1-01M · 1/2
  • Minimum information (resource type) about the available data content is specified in the metadata (1/1)
  • Information on the manner and form (file size and type or service (API) endpoint and protocol) in which data is delivered is provided (0/1)
Metadata includes license information under which data can be reused.
FsF-R1.1-01M · 1/1
  • Licence information is given in an appropriate metadata element (1/1)
Metadata includes provenance information about data creation or generation.
FsF-R1.2-01M · 1/1
  • Metadata contains elements which hold provenance information which can be mapped to PROV based on PROV-DC. (1/1)
  • Metadata contains elements which hold provenance information using formal provenance ontologies (PROV, PAV). (0/1)
Metadata follows a standard recommended by the target research community of the data.
FsF-R1.3-01M · 1/1
  • Community specific metadata standard is detected using namespaces or schemas found in provided metadata (1/1)
  • Multidisciplinary but community endorsed metadata (RDA Metadata Standards Catalog, fairsharing) standard is detected by namespace (1/1)
Data is available in a file format recommended by the target research community.
FsF-R1.3-02D · 1/1
  • Data is available in a file format recommended by the research community (long term file formats, open file formats or scientific file format) (1/1)

Assessed 2026-09-07 (metrics 0.8)


# Name Description Link Date published Category
1 InfluxDB connection Getting Started with R and InfluxDB Link March 6, 2023 InfluxDB