AIPE Magnetics Dataset
Original files and standardised records of open soft-magnetic material and core data for power electronics: material properties, core shapes and parts, and measured core loss, complex permeability, permittivity and B-H tables. This repository is the storage layer; it is built, validated and published by the AIPE Magnetics Database (Python API, CLI, MCP tools, Data Explorer).
This release: 9 sources, 21,237 core geometry, 12 dataset, 1,200 magnetic material, 1,764 measurement, 664 model metadata records, 2,348,037 table rows; raw 80.5 MB, normalised 108.1 MB.
Built by aipe-magnetics-database 0.3.0 from commit 34e3510d4c1f.
Layout
| Path | Content |
|---|---|
raw/<source-id>/files/ |
original files, byte-for-byte, as published upstream (immutable) |
raw/<source-id>/SOURCES.json |
pinned URL, version and SHA-256 of every original file; upstream LICENSE / NOTICE alongside |
normalized/v0.2/<source-id>/ |
AIPE Magnetic Data Schema v0.2 records: index.json, JSONL shards, datasets/, table sidecars (tables/, tables-local/) |
manifests/sources.json |
every investigated source, its licence, status, and what is (not) published and why |
manifests/dataset-index.json |
per-source record counts, table rows, sizes, formats, licence and citation |
manifests/checksums.json |
SHA-256 and size of every file in the release |
manifests/quality-report.json |
automated consistency and plausibility checks |
Records
One JSON record per line, SI units with the published unit kept as original; a missing value is omitted, never
zero. extensions["aipe.data"]["data_class"] keeps experimental measurements, manufacturer datasheet curves,
manufacturer-tool exports, derived views and fitted parameters apart. Tables (extensions["aipe.table"]) list
their columns (SI unit, original unit, definition); rows are JSON arrays in a sidecar named by rows_file and
verified by rows_sha256. Schema: docs/data-standard-v0.2.md.
import aipe_magnetics_database.api as db # pip install aipe-magnetics-database
rows = db.get_table("measurement.princeton-magnet-n87-core-loss", frequency="100 kHz", temperature="90 degC")
or directly: huggingface_hub.hf_hub_download("FulongLi/AIPE-Magnetics-Dataset", "normalized/v0.2/princeton_magnet/index.json", repo_type="dataset").
Sources and licences
Each source keeps its own licence; nothing is relicensed. Cite the original work.
| Source | Licence | Version | Records | Table rows | Raw | Citation |
|---|---|---|---|---|---|---|
OpenMagnetics / PSMA MAS (openmagnetics_mas) |
Apache-2.0 | c33ccfec8e00 | core_geometry 21,237, dataset 4, magnetic_material 1,137, measurement 1,627, model_metadata 664 | 1,662,656 | 3 files, 18.9 MB | - |
Princeton MagNet (packaged scalar databases) (princeton_magnet) |
MIT | 8a6892e91ac6 | dataset 1, magnetic_material 10, measurement 10 | 575,009 | 10 files, 35.2 MB | D. Serrano et al., 'Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics', IEEE Trans. Power Electron., 2023, doi:10.1109/TPEL.2023.3291084; H. Li et al., 'How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics', IEEE Trans. Power Electron., 2023, doi:10.1109/TPEL.2023.3309232; H. Li, D. Serrano, S. Wang, M. Chen, 'MagNet-AI: Neural Network as Datasheet for Magnetics Modeling and Material Recommendation', IEEE Trans. Power Electron., 2023, doi:10.1109/TPEL.2023.3309233 |
Paderborn University LEA materialdatabase (paderborn_lea_materialdatabase) |
GPL-3.0-only | 04fff8e98ae3 | dataset 1, magnetic_material 15, measurement 66 | 59,744 | 80 files, 3.7 MB | - |
EMPIR 19ENG06 HEFMAG amorphous / nanocrystalline loss and complex permeability (zenodo_8292861_hefmag) |
CC-BY-4.0 | doi:10.5281/zenodo.8292861 v1.0.0 | dataset 1, magnetic_material 4, measurement 8 | 4,291 | 1 files, 117.3 KB | C. S. Ragusa, S. Dobak, C. Beatrice, F. Fiorillo, '(EMPIR 19ENG06 HEFMAG) Data sets of measurements of magnetic loss and complex permeability on amorphous and nanocrystalline samples up to the MHz range', Zenodo, v1.0.0, 2023, doi:10.5281/zenodo.8292861 (CC BY 4.0) |
SMC and Mn-Zn ferrite loss under symmetric / asymmetric triangular polarization (zenodo_21626116_smc_ferrite_triangular) |
CC-BY-4.0 | doi:10.5281/zenodo.21626116 | dataset 1, magnetic_material 2, measurement 4 | 54 | 9 files, 1.9 KB | S. Dobak, F. Onderko, J. Fuzer, P. Kollar, 'Data Sets of Magnetic Loss Measurements on Soft Magnetic Composite and Mn-Zn Ferrite under Symmetric and Asymmetric Triangular Magnetic Polarization Profiles', Zenodo, doi:10.5281/zenodo.21626116 (CC BY 4.0) |
Nabih core characterisation database (Virginia Tech CPES): MHz ferrite loss, permeability, permittivity (nabih_magneto) |
MIT | 0a3a0f1e1035 | dataset 1, magnetic_material 8, measurement 22 | 2,810 | 4 files, 1.6 MB | A. Nabih, 'Core characterization data set: loss, permeability and permittivity', GitHub asalahnabih/magneto (MIT); measurements described in A. Nabih et al., IEEE Xplore document 10149511 |
Guillod et al. (Dartmouth, APEC 2024): large-signal dielectric properties of TDK N87 (guillod_n87_dielectric) |
MIT | dd06889876ca | dataset 1, magnetic_material 1, measurement 3 | 864 | 22 files, 56.9 KB | T. Guillod, W. V. R. Roberts, C. R. Sullivan, 'Characterization and Impact of Large-Signal Dielectric Properties in MnZn Ferrites', IEEE APEC 2024, doi:10.1109/APEC48139.2024.10509366; data: github.com/otvam/large_signal_ferrite_apec24 (MIT) |
Composite waveform hypothesis reproducibility dataset (MagNet N87, piecewise-linear excitation) (zenodo_7368936_cwh_n87) |
CC-BY-4.0 | doi:10.5281/zenodo.7368936 | dataset 1, magnetic_material 1, measurement 2 | 42,082 | 10 files, 20.8 MB | T. Guillod, J. S. Lee, H. Li, S. Wang, M. Chen, C. R. Sullivan, 'Calculation of Ferrite Core Losses with Arbitrary Waveforms using the Composite Waveform Hypothesis: Reproducibility Dataset', Zenodo, 2022, doi:10.5281/zenodo.7368936 (CC BY 4.0); measurements from MagNet (Princeton / Dartmouth / Plexim) |
INRIM examples of first magnetization curves of ferromagnetic samples (zenodo_10725890_inrim) |
CC-BY-4.0 | doi:10.5281/zenodo.10725890 v1.0.0 | dataset 1, magnetic_material 22, measurement 22 | 527 | 1 files, 16.3 KB | M. Pasquale, 'Examples of first magnetization curves of ferromagnetic samples', Zenodo, v1.0.0, 2024, doi:10.5281/zenodo.10725890 (CC BY 4.0) |
29 further investigated sources are listed in manifests/sources.json as metadata only (licence does not
permit redistribution, not established, or no pinnable download). Public availability is not redistribution permission.
Quality
Automated checks over 2,964 records and 867,331 table rows: 0 errors, 883 warnings (physical_range, duplicate_rows, duplicate_tables, local_only_tables, operating_conditions). Flags mark values to review; no observation is changed. Schema validity is not proof of experimental accuracy.
Licence summary
Licences present: Apache-2.0, CC-BY-4.0, GPL-3.0-only, MIT. See LICENSE.md.
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