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Includes a typology of data sources.

Identifies the type of data, which has a bearing on the acceptable data values, the operations that can be performed with the data, and the ways in which the data are stored.

Specifies the type of date.

Describes the physical format(s) of the data documented in the logical product(s) of a study unit.

Describes the level of proficiency of an individual in a natural language.

Specifies the event happening over the data life cycle that is considered significant enough to document.

The procedure, technique, or mode of inquiry used to attain the data.

Specifies the type of numeric data.

Indicates the entity that provided the information carried by the variable.

A typology of sampling methods.

Indicates the statistical software package used in the production/processing/dissemination of the data. Data collection software is not covered in this list.

Specifies the type of summary statistic. Summary statistics are a single number representation of the characteristics of a set of values.

Describes the time dimension of the data collection.

Time zone specification as an offset from UTC (Coordinated Universal Time) in terms of hours and minutes.

Identifies the type of address entered as contact information for an individual or an organization.

Specifies the rationale for creating a concept group.

Indicates the frequency of data collection events.

Includes a typology of data collection instruments.

Includes a typology of notes.

Identifies the type of telephone entered as contact information for an individual or an organization.

A typology of methods used to translate data collection instruments, including questionnaires, individual questions, measurements, data capture flows, etc.

Ddinter is a comprehensive, professional, and open-access database specific to drug-drug interactions. it provides abundant annotations for each ddi association including mechanism description, risk levels, management strategies, alternative medications, etc. to improve clinical decision-making and patient safety.

Ddinter is a comprehensive, professional, and open-access database specific to drug-drug interactions. it provides abundant annotations for each ddi association including mechanism description, risk levels, management strategies, alternative medications, etc. to improve clinical decision-making and patient safety.

A repository for the TSV-based, decentralized, community-curated curation of terms, properties, and relations that get turned into OBO, OWL, and OBO Graph JSON.

A toolset for deciphering and managing biological sequences.

Activities in DEIMS SDR

Datasets in DEIMS SDR

Locations in DEIMS SDR

Networks in DEIMS SDR

Sensors in DEIMS SDR

DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry) is an information management system powered by eLTER. It allows you to discover long-term ecosystem research sites around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR describes a wide range of sites, providing a wealth of information, including each site’s location, ecosystems, facilities, parameters measured and research themes. It is also possible to access a growing number of datasets and data products associated with the sites.

Taxonomy in DEIMS SDR

Cell lines used in the Dependency Map (DepMap). Highly related to CCLE Cells.

The DevTox Project harmonizes the nomenclature used to describe developmental anomalies in laboratory animals, assists in the visual recognition of developmental anomalies with the aid of photographs, and provides a historical control database of developmental effects in laboratory animals.

Organism supplier which collects Drosophila stocks from laboratories all over the world, maintains them, and provides them to researchers upon request. [from RRID]

DiabetesOmic is a multi-omics database designed to collect and analyze transcriptional regulatory information across five high-throughput sequencing modalities, including ChIP-seq, RNA-seq, ATAC-seq, scATAC-seq, and scRNA-seq. This database's identifiers each represent a single sample. It contains clinical complication annotations including diabetic nephropathy, retinopathy, and atherosclerosis to enhance translational relevance. It enables the identification of disease-associated regulatory elements, epigenetic modifications, and cell type-specific molecular signatures, providing valuable insights into the molecular mechanisms of diabetes and its complications.

A resource for Dictyostelid discoideum (a soil-dwelling amoeba) genomics