Add raw Mendeley mirror and BSEBench provenance
Browse files- BSEBENCH_SOURCE.json +103 -0
- FINAL_STATUS.json +20 -0
- HF_FILE_LIST.json +3 -0
- README.md +53 -0
- SHA256SUMS.txt +9 -0
- raw/Battery raw data.zip +3 -0
- source_metadata/MENDELEY_DOWNLOAD_ALL_ARCHIVE.json +8 -0
- source_metadata/MENDELEY_FILES.json +19 -0
- source_metadata/MENDELEY_FOLDERS.json +1 -0
- source_metadata/MENDELEY_SNAPSHOT.json +84 -0
BSEBENCH_SOURCE.json
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{
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"bsebench_status": "raw_mirror_pending_validation",
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"dataset_title": "SNU single-point diagnosis critical health state Samsung 30Q dataset raw mirror",
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"target_repo": "bsebench-org/snu-single-point-critical-health-30q-2024-raw",
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"target_visibility_initial": "private",
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"source": {
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"name": "Mendeley Data",
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"url": "https://data.mendeley.com/datasets/zn82y35zr8/2",
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"doi": "10.17632/zn82y35zr8.2",
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"dataset_id": "zn82y35zr8",
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"version": 2,
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"title": "Single-point diagnosis for detecting the critical health state of lithium-ion batteries ",
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"publish_date": "2024-05-13T07:31:01.909Z",
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"institution": "Seoul National University",
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"contributors": [
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{
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"id": "96142086-d16c-40be-8788-eaf5a020c049",
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"first_name": "Hyunjae",
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"last_name": "Kim",
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"$ref": "/profiles/96142086-d16c-40be-8788-eaf5a020c049"
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},
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{
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"first_name": "Inwoo",
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"last_name": "Kim",
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"orcid_id": "0000-0003-1442-0236",
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"institution": "Seoul National University"
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},
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{
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"first_name": "Minsoo",
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"last_name": "Kim",
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"orcid_id": "0000-0001-7705-1381",
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"institution": "Seoul National University"
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},
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{
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"first_name": "Jang Wook",
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"last_name": "Choi",
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"orcid_id": "0000-0001-8783-0901",
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"institution": "Seoul National University"
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}
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],
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"categories": [
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{
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"id": "data.elsevier.com/vocabulary/OmniScience/Concept-252591154",
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"label": "Battery Management System"
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},
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{
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"id": "data.elsevier.com/vocabulary/OmniScience/Concept-252591185",
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"label": "Lithium Ion Battery"
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}
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],
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"license": {
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"spdx": "CC-BY-4.0",
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"name": "CC BY 4.0",
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"url": "http://creativecommons.org/licenses/by/4.0",
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"verified_from": [
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"Mendeley source page",
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"Mendeley public API snapshot"
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]
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},
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"public_api_endpoints": {
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"snapshot": "https://data.mendeley.com/public-api/datasets/zn82y35zr8/snapshot/2",
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"files_root": "https://data.mendeley.com/public-api/datasets/zn82y35zr8/files?folder_id=root&version=2",
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"folders": "https://data.mendeley.com/public-api/datasets/zn82y35zr8/folders/2"
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}
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},
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"download": {
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"date": "2026-05-08",
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"completed_at_utc": "2026-05-08T11:25:03+00:00",
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"method": "wget from official Mendeley public file endpoint redirect",
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"source_file_endpoint": "https://data.mendeley.com/public-files/datasets/zn82y35zr8/files/def78059-7ab8-4efc-a9e2-885ff22ee89e/file_downloaded",
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"download_all_archive_metadata": {
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"url": "https://prod-dcd-datasets-cache-zipfiles.s3.eu-west-1.amazonaws.com/zn82y35zr8-2.zip",
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"size": 1406403065,
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"sha256_hash": "37a9c54943db02fd549a4783cf53d3702078daa73fd0030b6f5c89cc5ad6747f",
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| 75 |
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"status": "FINISH",
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| 76 |
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"created_on": "2024-05-13T07:31:04.233134",
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"modified_on": "2024-05-13T07:39:45.866104"
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},
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"payload_files": [
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{
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"path": "raw/Battery raw data.zip",
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"source_filename": "Battery raw data.zip",
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"source_file_id": "def78059-7ab8-4efc-a9e2-885ff22ee89e",
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| 84 |
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"source_content_id": "28291b29-c7e6-4475-8783-cec0e33ba8b3",
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"content_type": "application/zip",
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"bytes": 1471625937,
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"sha256": "b7774207e643909da91bf06d30c7abdb50ac867f0e99a638d72df5e625f69bba",
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"source_manifest_bytes": 1471625937,
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| 89 |
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"source_manifest_sha256": "b7774207e643909da91bf06d30c7abdb50ac867f0e99a638d72df5e625f69bba",
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"hash_matches_source_manifest": true,
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"size_matches_source_manifest": true
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}
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]
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},
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"transformations": [
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"No payload transformation. The official source zip was uploaded unchanged.",
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"Mendeley public API metadata was saved under source_metadata/ for provenance."
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],
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"residual_risks": [
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"Raw mirror pending downstream BSEBench validation.",
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"Dataset contents remain inside the original source zip archive and were not normalized."
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]
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}
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FINAL_STATUS.json
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{
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"status": "uploaded_pending_hf_confirmation",
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"repo_id": "bsebench-org/snu-single-point-critical-health-30q-2024-raw",
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"source_url": "https://data.mendeley.com/datasets/zn82y35zr8/2",
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"doi": "10.17632/zn82y35zr8.2",
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"license": "CC BY 4.0",
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| 7 |
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"license_spdx": "CC-BY-4.0",
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"source_files_uploaded": 1,
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"source_payload_bytes": 1471625937,
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| 10 |
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"source_payload_sha256": "b7774207e643909da91bf06d30c7abdb50ac867f0e99a638d72df5e625f69bba",
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"file_count_uploaded": null,
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"total_uploaded_bytes": null,
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"target_visibility": "private",
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| 14 |
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"created_at_utc": "2026-05-08T11:25:03+00:00",
|
| 15 |
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"blockers": [],
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| 16 |
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"residual_risks": [
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| 17 |
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"Raw mirror pending downstream BSEBench validation.",
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"Dataset contents remain inside the original source zip archive and were not normalized."
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]
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}
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HF_FILE_LIST.json
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{
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"status": "pending_upload"
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}
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README.md
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---
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license: cc-by-4.0
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title: SNU single-point diagnosis critical health state Samsung 30Q dataset raw mirror
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pretty_name: SNU Single-Point Diagnosis Critical Health State Samsung 30Q Raw Mirror
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tags:
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- batteries
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- lithium-ion
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- raw-data
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- bsebench
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---
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# SNU single-point diagnosis critical health state Samsung 30Q dataset raw mirror
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This is a raw mirror for BSEBench ingestion and validation. The mirrored source is Mendeley Data dataset version 2, "Single-point diagnosis for detecting the critical health state of lithium-ion batteries".
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## BSEBench Status
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`raw_mirror_pending_validation`
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## Source
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- Source repository: Mendeley Data
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- Source URL: https://data.mendeley.com/datasets/zn82y35zr8/2
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- DOI: 10.17632/zn82y35zr8.2
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- Published source version: 2
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- Published date: 2024-05-13T07:31:01.909Z
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- Institution: Seoul National University
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- License: CC BY 4.0, verified from the Mendeley source page and public API metadata
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- License URL: http://creativecommons.org/licenses/by/4.0
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- Download date: 2026-05-08
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## Citation
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Hyunjae Kim, Inwoo Kim, Minsoo Kim, and Jang Wook Choi. "Single-point diagnosis for detecting the critical health state of lithium-ion batteries", Mendeley Data, version 2. DOI: 10.17632/zn82y35zr8.2.
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## Provenance
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The source page describes 60 commercial Samsung SDI INR18650-30Q NCA/Gr-Si cylindrical lithium-ion cells cycled under varied operating conditions for critical health-state diagnosis. This mirror preserves the official source archive as downloaded from Mendeley Data's public file endpoint.
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Mirrored raw payload:
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| Path | Source filename | Bytes | SHA-256 |
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|---|---:|---:|---|
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| `raw/Battery raw data.zip` | `Battery raw data.zip` | 1471625937 | `b7774207e643909da91bf06d30c7abdb50ac867f0e99a638d72df5e625f69bba` |
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The downloaded archive hash matches the SHA-256 hash published in Mendeley's file manifest. No benchmark claims, model performance claims, or validation conclusions are made here.
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## Files
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- `raw/Battery raw data.zip`: official Mendeley source archive.
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- `BSEBENCH_SOURCE.json`: machine-readable provenance and source verification metadata.
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| 52 |
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- `source_metadata/`: Mendeley public API snapshot and file metadata captured during upload preparation.
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| 53 |
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- `SHA256SUMS.txt`: checksums for uploaded files.
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SHA256SUMS.txt
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db8be6d1a7c017138a1b8f83ef544bdf3b1e6ffcc560ce98ef2f1c0e052d3f14 README.md
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| 2 |
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b9bb6a1958d0b7249bdb22f3991a76625a9ab9a90c96936ef64742bb33cc2531 BSEBENCH_SOURCE.json
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| 3 |
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24e0abade44df68b02d63f5ddf27a3c74f6c14f3a2e6c40169577df50891ce50 FINAL_STATUS.json
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| 4 |
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bd1974ffd7506995cfddb9b9eee8935b9e275134bc19ec17ebfe2dd0ca97b633 HF_FILE_LIST.json
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| 5 |
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373f413d923da28ef472d6635e6a09ecf4aef7ed65a56104f80558d5ba4d31fa source_metadata/MENDELEY_SNAPSHOT.json
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| 6 |
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d06ad06b0b9f7fc8df7142e2e639701cef17b283d5866fb1b1395b5675a22496 source_metadata/MENDELEY_FILES.json
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| 7 |
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37517e5f3dc66819f61f5a7bb8ace1921282415f10551d2defa5c3eb0985b570 source_metadata/MENDELEY_FOLDERS.json
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| 8 |
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ceece32745ca5a7df6e4626cb882b2f99fbd749ca4218c4283b8056244cdbee9 source_metadata/MENDELEY_DOWNLOAD_ALL_ARCHIVE.json
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| 9 |
+
b7774207e643909da91bf06d30c7abdb50ac867f0e99a638d72df5e625f69bba raw/Battery raw data.zip
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raw/Battery raw data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7774207e643909da91bf06d30c7abdb50ac867f0e99a638d72df5e625f69bba
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| 3 |
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size 1471625937
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source_metadata/MENDELEY_DOWNLOAD_ALL_ARCHIVE.json
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{
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"url": "https://prod-dcd-datasets-cache-zipfiles.s3.eu-west-1.amazonaws.com/zn82y35zr8-2.zip",
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| 3 |
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"size": 1406403065,
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| 4 |
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"sha256_hash": "37a9c54943db02fd549a4783cf53d3702078daa73fd0030b6f5c89cc5ad6747f",
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| 5 |
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"status": "FINISH",
|
| 6 |
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"created_on": "2024-05-13T07:31:04.233134",
|
| 7 |
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"modified_on": "2024-05-13T07:39:45.866104"
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}
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source_metadata/MENDELEY_FILES.json
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[
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{
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"filename": "Battery raw data.zip",
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| 4 |
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"id": "def78059-7ab8-4efc-a9e2-885ff22ee89e",
|
| 5 |
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"content_details": {
|
| 6 |
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"id": "28291b29-c7e6-4475-8783-cec0e33ba8b3",
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| 7 |
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"sha256_hash": "b7774207e643909da91bf06d30c7abdb50ac867f0e99a638d72df5e625f69bba",
|
| 8 |
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"content_type": "application/zip",
|
| 9 |
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"size": 1471625937,
|
| 10 |
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"created_date": "2024-05-12T01:56:54.012Z",
|
| 11 |
+
"download_url": "https://data.mendeley.com/public-files/datasets/zn82y35zr8/files/def78059-7ab8-4efc-a9e2-885ff22ee89e/file_downloaded",
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| 12 |
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"view_url": "https://data.mendeley.com/public-files/datasets/zn82y35zr8/files/def78059-7ab8-4efc-a9e2-885ff22ee89e/file_viewed",
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| 13 |
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"download_expiry_time": "2126-05-08T11:22:23.956535551Z"
|
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},
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| 15 |
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"size": 1471625937,
|
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"last_modified_date": "2024-05-12T01:56:54.012Z",
|
| 17 |
+
"status": "COMPLETED"
|
| 18 |
+
}
|
| 19 |
+
]
|
source_metadata/MENDELEY_FOLDERS.json
ADDED
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[]
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source_metadata/MENDELEY_SNAPSHOT.json
ADDED
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{
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+
"id": "zn82y35zr8",
|
| 3 |
+
"version": 2,
|
| 4 |
+
"name": "Single-point diagnosis for detecting the critical health state of lithium-ion batteries ",
|
| 5 |
+
"description": "The dataset used in our study, “Single-point diagnosis for detecting the critical health state of lithium-ion batteries ”, consists of 60 commercial lithium-ion batteries cycled under various operating conditions. These high-power NCA/Gr-Si cylindrical cells, manufactured by Samsung SDI (INR 18650-30Q), were cycled using vertical cylindrical fixtures on a battery cycler (CRC 05-10, Wonik PNE, South Korea) in a temperature-controlled chamber. The cells have a nominal capacity of 3 Ah and a nominal voltage of 3.6V. The voltage-cutoffs (2.5 V and 4.2 V, corresponding to 0%−100% SOC) adopted in this work were based on the manufacturer’s manual.\n\n1st cycle aging test (SOH100→SOH80) under various operating conditions\nThe cells were cycled under nine different operating conditions. The operating conditions were differentiated based on chamber temperature, (dis)charging cut-off voltages, and charging rates, while the discharge was identically conducted at 1C constant current (CC). The chambers were set to four different temperatures: 10 °C, 25 °C, 45 °C, and 60 °C. Within each temperature, the tests were further subdivided based on charging C-rate into low C-rate (0.5C and 1C) and high C-rate (3C) conditions. For 45 °C and 60 °C conditions, further subdivisions with regard to charging rate were not conducted. At every 50 to 100 cycles, including BOL and EOL, every cell was subjected to the reference performance test (RPT) to measure SOH and kinetic properties (1C capacity and DCIR). The cycles lasted until the SOH reached SOH80. Especially, additional 1/30C (dis)charging cycles were conducted at EOL. \n\nSecond cycle life test (SOH80→SOH60) after the EOL\nall the 60 cells were subjected to an additional cycling test with an identical cycling protocol (0.5C CC with CV of 0.25C cut-off for charge and 0.5C CC for discharge, 2.5 V−4.2 V) at 25°C, and the capacity of 0.2C−0.2C cycle was checked every 50 cycles. The cycles lasted until the SOH reached SOH60.\n\n",
|
| 6 |
+
"method": "The dataset is divided into four types; RPT data, Cycle data, After SOH80 data, and Processed features data . Every data of each cell is available as a CSV file. \nRPT Data\n Folders named after each cell contain RPT CSV files corresponding to that cell.\n Each folder consists of RPT data files named as ‘#.csv’ (# = integer, the order of the measured RPTs started from 0).\n The RPTs were conducted periodically between cycles, and 0.csv represents the RPT file measured at the BOL (Beginning of Life) before the cycling process.\n The RPT file with the highest number (#) in the filename represents the RPT file measured at EOL (End of Life), after the completion of the cycling process.\n The RPT consists of a total of 31 cycles (as indicated by the TotCycle column in the CSV file).\n 1 cycle: rest for adjusting chamber temperature\n 2~3 cycle: two 0.2C−0.2C cycle\n 4~5 cycle: two 1C−0.2C cycles\n 6 cycle: fully discharging\n 7~17 cycle: Charging GITT cycles\n 18~28 cycle: Discharging GITT cycles\n 19 cycle: fully discharging\n 30~31 cycle: two identical DCIR pulse at SOC50 \n0.033C RPT Data\n 1/30C (=0.033C) RPT CSV files contain slow-rate (1/30C or 0.033C) cycle data conducted at EOL for accurate degradation mode analysis.\n The 0.033C cycle CSV file consists of 3 cycles (as indicated by the TotCycle column in the CSV).\n1) 1 cycle: rest for adjusting chamber temperature\n2) 2 cycle: 0.1C−0.1C cycle\n3) 3 cycle: 0.033C−0.033C cycle\n\n\nCycle Data\n Folders named after each cell contain Cycle CSV files corresponding to that cell.\n Each folder consists of Cycle data files named as ‘CYC # (start cycle number) ~ # (end cycle number) operating condition.csv’.\n Every cycle file starts with a rest cycle for adjusting chamber temperature.\nAfter SOH80 Data\n Consists of CSV files named after each corresponding cell.\n Every cycle file starts with rest cycle for adjusting chamber temperature.\n Two 0.2C−0.2C cycles were conducted at intervals of every 50 cycles and the second cycle was used to check the State of Health (SOH).\n Cycling protocol: 0.5C CC with CV of 0.25C cut-off for charge and 0.5C CC for discharge, 2.5 V−4.2 V\n",
|
| 7 |
+
"doi": "10.17632/zn82y35zr8.2",
|
| 8 |
+
"publish_date": "2024-05-13T07:31:01.909Z",
|
| 9 |
+
"last_modification_date": "2024-05-12T01:59:57.170Z",
|
| 10 |
+
"is_confidential": false,
|
| 11 |
+
"customer": {
|
| 12 |
+
"id": "7377952c-6404-4428-bbfc-77242cfc301e",
|
| 13 |
+
"name": "Mendeley Guests"
|
| 14 |
+
},
|
| 15 |
+
"owner": {
|
| 16 |
+
"id": "96142086-d16c-40be-8788-eaf5a020c049",
|
| 17 |
+
"first_name": "Hyunjae",
|
| 18 |
+
"last_name": "Kim",
|
| 19 |
+
"display_name": "Hyunjae Kim",
|
| 20 |
+
"$ref": "/profiles/96142086-d16c-40be-8788-eaf5a020c049"
|
| 21 |
+
},
|
| 22 |
+
"categories": [
|
| 23 |
+
{
|
| 24 |
+
"id": "data.elsevier.com/vocabulary/OmniScience/Concept-252591154",
|
| 25 |
+
"label": "Battery Management System"
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"id": "data.elsevier.com/vocabulary/OmniScience/Concept-252591185",
|
| 29 |
+
"label": "Lithium Ion Battery"
|
| 30 |
+
}
|
| 31 |
+
],
|
| 32 |
+
"licence": {
|
| 33 |
+
"id": "01d9c749-3c4d-4431-9df3-620b2dcfe144",
|
| 34 |
+
"short_name": "CC BY 4.0",
|
| 35 |
+
"full_name": "Creative Commons Attribution 4.0 International",
|
| 36 |
+
"description": "You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.",
|
| 37 |
+
"url": "http://creativecommons.org/licenses/by/4.0",
|
| 38 |
+
"category": "Creative",
|
| 39 |
+
"customer_id": null
|
| 40 |
+
},
|
| 41 |
+
"institutions": [
|
| 42 |
+
{
|
| 43 |
+
"id": "4c9eb2c2-f48e-5b4a-863c-6d510c3384db",
|
| 44 |
+
"name": "Seoul National University"
|
| 45 |
+
}
|
| 46 |
+
],
|
| 47 |
+
"funders": [],
|
| 48 |
+
"organisational_unit_names": [],
|
| 49 |
+
"contributors": [
|
| 50 |
+
{
|
| 51 |
+
"id": "96142086-d16c-40be-8788-eaf5a020c049",
|
| 52 |
+
"first_name": "Hyunjae",
|
| 53 |
+
"last_name": "Kim",
|
| 54 |
+
"$ref": "/profiles/96142086-d16c-40be-8788-eaf5a020c049"
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"first_name": "Inwoo",
|
| 58 |
+
"last_name": "Kim",
|
| 59 |
+
"orcid_id": "0000-0003-1442-0236",
|
| 60 |
+
"institution": "Seoul National University"
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"first_name": "Minsoo",
|
| 64 |
+
"last_name": "Kim",
|
| 65 |
+
"orcid_id": "0000-0001-7705-1381",
|
| 66 |
+
"institution": "Seoul National University"
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"first_name": "Jang Wook",
|
| 70 |
+
"last_name": "Choi",
|
| 71 |
+
"orcid_id": "0000-0001-8783-0901",
|
| 72 |
+
"institution": "Seoul National University"
|
| 73 |
+
}
|
| 74 |
+
],
|
| 75 |
+
"related_links": [
|
| 76 |
+
{
|
| 77 |
+
"relation_type": "related_to",
|
| 78 |
+
"href": "https://github.com/psalmschoi/Single-point-diagnosis-for-detecting-the-critical-health-state-of-lithium-ion-batteries.git",
|
| 79 |
+
"source_type": "software"
|
| 80 |
+
}
|
| 81 |
+
],
|
| 82 |
+
"custom_metadata": {},
|
| 83 |
+
"is_metadata_only": false
|
| 84 |
+
}
|