
The Data Series module is one of the core components of Atlas ETRM. It stores and manages all time-series data used across the platform, including market prices, volume profiles, forward curves, Mark-to-Market (MTM) curves, climatic data, exchange rates, index values, and other factors.
To access Data Series, open the Data Room menu in the left-hand navigation and select Available Data Series. The Available Data Series screen presents a grid listing all data series registered in the system. For a full description of each column, see Appendix — Field Details.
System-generated data series (those not created directly by a user) follow a standardised naming pattern:
{Provider}_{Tag1}_{Tag2}_…_{TagN}_{Dataset}
Where Provider is the data source, Tag fields fully describe the entity (e.g. bidding zone, thermal unit EIC, country), and Dataset is the unique dataset label.
The grid provides two ways to locate data series, which can be used independently or together.
A query builder row at the top of the grid allows the user to define filtering rules by selecting a column, choosing an operator (e.g. contains, equals, begins with), and entering a value. The filter is applied by pressing Enter or clicking Apply.
Queries can be saved for future use by selecting Create New Query from the Select Grid Query drop-down at the top-right of the grid. Saved queries can be recalled, modified, or cleared at any time.
Example
To display only data series produced by the Math Editor, set the rule Module equals “Math Editor”.

Then save the query for future use.

The Search by Name field in the upper-right corner allows free-text keyword search across data series names. The field supports the asterisk (*) as a wildcard character — for example, entering DAM*GR returns all series whose names contain both “DAM” and “GR” regardless of order. Filtering operates server-side, ensuring efficient performance over large datasets.
If a grid query is currently active, the Search by Name filter is applied on top of it, further narrowing the results within that query.
There are two ways to create a data series:
Α. Manual creation
Click the + button at the top of the grid, fill in the required details in the form that appears (Name, Granularity, Type, UOM, upsampling/downsampling methods) and click Create.

Β. Excel template upload
Use the Create Dataseries button for bulk creation. For more details, see Mass Actions — Creating Data Series Entries via Template.

In both cases, the series is created with its metadata but contains no data values yet. To enter data, either type or paste values directly in the Data tab (see Editing a Data Series — Option A below) or use the Update Dataseries Data button for bulk loading (see Mass Actions — Loading and Updating Data Values via Template).
A data series has two distinct editable parts: its metadata and its data values.
Basic metadata (Name, Type, UOM, upsampling, downsampling) can be edited by clicking the pencil icon in the Actions column of the grid, or by opening the series and clicking the Edit button.

Note: Granularity cannot be changed once a data series has been created. If a different granularity is needed, create a new series.
There are two ways to edit data values:
Α. Manual editing
Open the series, navigate to the Data tab, click the edit button above the table, type or paste values into the New Value column, then click Save.

Important: Always click Save after making changes. Navigating away without saving will discard all edits.
Β. Excel template upload
From the main grid — where multiple series can be selected at once, even across different granularities — or from within an individual series info page, use the Update Dataseries Data button. Recommended when loading or updating large date ranges. For more details, see Mass Actions — Loading and Updating Data Values via Template.

A data series may be deleted either from the grid or from the series info page.
From the grid, right-click the desired row and select Delete Dataseries. Multiple series can be deleted at once by first selecting them using the checkboxes.

Alternatively, open the series and click the Delete button in the left-hand panel.
This process may be used to create one or more new data series and define their structure in a single upload.
In the Available Data Series grid, click Create Dataseries → Download Dataseries Create Template. An Excel file is downloaded to your computer.
Open the template in Excel. Each row defines one data series. Fill in the required columns: Name, Module, Upsampling & Downsampling Method, Source, Granularity, Type and UOM.
Save the completed file.
Return to the grid and click Create Dataseries → Create Dataseries. Select the completed file in the upload dialog and confirm.
The new data series appear in the grid. They are created with their metadata but contain no data values yet. To populate them with data, proceed to Loading and Updating Data Values via Template below.
This process may be used to enter or update data values across one or more existing data series for a specific date range.
In the Available Data Series grid, select one or more data series using the checkboxes on the left.
Click Update Dataseries Data → Download Data Update Template.
A dialog appears where you set the target date range and time zone for the update.
Click Submit. An Excel file pre-populated with the selected series and date range is downloaded to your computer.
Open the file in Excel and populate the value columns with the new data. Copy-paste from existing spreadsheets is supported.
Save the completed file.
Return to the grid and click Update Dataseries Data → Update Data. Select the completed file and confirm the upload.
Open any of the updated series and navigate to the Data tab to verify the new values have been applied correctly.
Double-clicking a row in the grid opens the data series info page in a new tab. The info page is divided into two tabs: Chart and Data.
Renders the time series as a line chart for a user-selected date range and time-zone. Indicators above the chart display the minimum, maximum, average, and sum for the visible range. The mouse scroll wheel can be used to zoom in and out. The left-hand panel shows the series metadata and provides the Load, Edit, and Delete action buttons.

Displays data values in tabular form for the selected range. The table can be exported to Excel or CSV using the Data Export button. Values can be edited directly in this tab (see Section 2 — Editing a Data Series).

Field / Element | Description |
ID | System-assigned numeric identifier for the data series. |
Name | Descriptive label for the series. System-generated names follow the pattern {Provider}_{Tag1}…{TagN}_{Dataset}. |
Module | The module that owns the series. |
Granularity | Time resolution of the series. Possible values: Quarter-Hour, Half-Hour, Hour, Day, Week, Month, Quarter, Semester, Year, Gas Year. Cannot be changed after creation. |
Type | Data category. Possible values: Quantity, Price, Value. |
Source | Originating source of the data. Possible values: Math Editor, Atlas ETRM Modules, External Providers. |
UOM | Unit of measurement (e.g. %, €, $, MW, MWh, €/MWh). Selected from the predefined UOM list. |
Upsampling | Method used when converting data to a finer granularity. Possible values: Linear, Back-Fill, Front-Fill, Division, Linear with Quadratic Programming, Division with Quadratic Programming. |
Downsampling | Method used when converting data to a coarser granularity. Possible values: Average, Sum. |
Created By | Username of the user who created the series, or the system name if auto-generated. |
Modified At | Date and time of the most recent modification. |
Created At | Date and time the series was first created. |