Climate Model: A simulation of reality which quantifies the interactions of variables which play a role in climate.
Climate Scenario: A plausible representation of future climate conditions created under a set of input variables.
Data Collection: A grouping of data sets that all come from the same source, such as a research group.
Data Discovery Center (DDC): The main cyberinfrastructure interface for the New Hampshire EPSCoR Ecosystems and Society Project and the Maine/New Hampshire New England Sustainability Consortium.
Data Granule: The smallest or most refined element of a data holding such as a single value.
Data Holding: A subset of a data set.
Data Set: A subset of a data collection.
Data Table: A matrix of data values organized into rows (records) and columns (fields).
Derived Data: Data which is created from the use of functions, analysis, or models.
End User: The consumer of a service or product such as a webpage.
EPSCoR: Acronym for Experimental Program to Stimulate Competitive Research.
Field / Column: A vertical list of data values within a data table.
Gauge: An instrument for measuring magnitude, amount, or contents of something such as the measuring of Dissolved Oxygen in water.
Gazetteer: A collection of location names which are referenced to geospatial coordinates.
Imagery Data: Continuous raster data which portrays images over one or many bands of data.
Imagery Band: A range of wavelengths. An example could be the red band of electromagnetic spectrum.
Metadata: Data which is used to describe other data and usually organized into fields such as Data Creator, Date of Creation, Data Type, etc…
Model Output: Values that are created by the running and completion of a model.
Network: A collection of sensors or gauges which work together to gather measurements.
Output File Type: The file type generated from an application, tool, or model, such as TIFF, or CSV.
Parameter: A value used as input to a climate model.
Pixel / Grid Cell: The smallest unit of a raster data layer or an image represented by a square or rectangle.
Principal Investigator: The lead researcher on a research project.
Project: A collection of researchers, data, analysis, and tools all used in the pursuit of a common goal.
QA / QC: Quality Assessment / Quality Control; methods used to check the accuracy, precision, and validity of data.
Raster Data: Spatial data that is represented by a matrix of pixels.
Record / Row: A horizontal list of data values within a data table.
Sensor: A device which is used to measure the quantity of a physical property such as light.
Site: The location of where sensors or gauges are placed. Sites can have one or multiple sensors and / or gauges at the same location.
Spatial Reference: The coordinate system, map projection, and parameters used to store a spatial data set.
Spatial Resolution: The size of a pixel within a uniform set as measured along one side.
Station: The location of where sensors or gauges are placed. Stations can have one or multiple sensors and / or gauges at the same location.
STEM: An acronym for Science, Technology, Engineering, and Mathematics which is often used in context to outreach operations.
Survey: A set of questions used as a tool to understand trends, often over a spatial location.
Temporal Resolution: The regular time frequency of which a dataset or data granule is collected such as fifteen minute intervals.
Time Series: A series of data sets or data granules which are captured and stored over time.
Time Step: The range of time between elements within a time series.
Variable: Data which may vary and is used as input to a model or function.
Vector Data: Spatial data that is represented by points, lines, or polygons.
Virtual Server: An allocation of memory, CPU, and disk space which acts as an independent computer server, within another server.
Web Mapping: The act of creating web based interactive mapping environments.
Web Map Service: A type of service that generates and delivers map layers over the internet.