Data · dataset · 2026
SPARK-Raw: Unprocessed High-Resolution Energy Data from a Sustainable Industrial Production Area in Karlsruhe
Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/8efkkn0g9pcng5yd
SPARK-Raw provides unprocessed, high-resolution electricity measurements from 22 industrial machines - including mills, lathes, chip presses, and pumps - and a photovoltaic system, recorded at a 5-second sampling rate over one to seven years.
Description
Collected at the Campus North of the Karlsruhe Institute of Technology, the dataset includes detailed electrical quantities such as voltages, currents, active and reactive power, harmonics, total harmonic distortion, and frequency.
In contrast to the curated and quality-checked SPARK dataset, SPARK-Raw contains the original, unfiltered measurements in their full temporal and structural detail, offering a transparent foundation for data cleaning, preprocessing, and validation in industrial energy analytics research.
Links
Where it is published
- DOI doi.org/10.35097/8efkkn0g9pcng5yd ↗
DOI / persistent id · from radar service eu de
Catalogue records · 1
- OAI-PMH record radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier… ↗
metadata API · from radar service eu de
Topics
- From keywords
- Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Energy · Energy · Engineering · Engineering
- Inferred from text
- Resources engineering and extractive metallurgy 72%
Provenance · 2 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| RADAR | 10.35097/8efkkn0g9pcng5yd | 13 d ago | JSON v1 |
| RADAR4Memory | 10.35097/8efkkn0g9pcng5yd | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].anzsrc:group:4019 | enrichment · radar service eu de | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].local:field:computer-science-ai | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:energy | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:energy | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:engineering | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:engineering | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| description | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/description |
| license | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/rights |
| publication_date | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| title | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/title |