Magnetic Nanomaterials¶
Original Data¶
Title: Magnetic Nanomaterials
Description:
The dataset contains comprehensive information about magnetic nanoparticles, including core-shell structures and their magnetic properties. It combines three distinct datasets: two focusing on MRI and hyperthermia applications (from Pasha Kim), and one dedicated to exchange bias phenomena.
Total number of records: 2578
Number of features (columns): 39
Data type: Mixed
Application: Nanomaterials
Automatic validation: Yes
Data Scheme¶
Dataset Structure¶
The dataset is organized into several key categories:
-
Compositional Data
- Core and shell materials
- Multiple shell layers (where applicable)
- Normalized compositions
-
Physical Characteristics
- Size measurements from various techniques
- Morphological properties
- Crystallographic information
-
Magnetic Properties
- SQUID measurements
- Exchange bias parameters
- Magnetization data
-
Application-specific Parameters
- MRI-related properties
- Hyperthermia characteristics
Magnetic Nanomaterials – Column Descriptions¶
| Category | Column Name | Description |
|---|---|---|
| Composition | name | Sample or material name (if given) |
| np_core | Material of the nanoparticle core | |
| np_shell | Material of the shell | |
| np_shell_2 | Second shell layer (optional) | |
| core_shell_formula | Combined formula for core-shell system | |
| Structural Properties | np_hydro_size | Hydrodynamic size (nm) |
| xrd_scherrer_size | Size from XRD using Scherrer equation | |
| emic_size | Size from electron microscopy | |
| space_group_core | Core crystallographic space group | |
| space_group_shell | Shell crystallographic space group | |
| xrd_crystallinity | Crystallinity status based on XRD | |
| Magnetic Properties | squid_h_max | Max magnetic field in SQUID (kOe) |
| fc_field_T | Field-cooled field strength (T) | |
| squid_temperature | SQUID measurement temperature (K) | |
| squid_sat_mag | Saturation magnetization (emu/g) | |
| coercivity | Coercive field strength (kOe) | |
| squid_rem_mag | Remanent magnetization (emu/g) | |
| exchange_bias_shift_Oe | Exchange bias field shift (Oe) | |
| vertical_loop_shift_M_vsl_emu_g | Vertical loop shift (emu/g) | |
| hc_kOe | Coercive field from hysteresis loop (kOe) | |
| MRI / Hyperthermia | htherm_sar | Specific absorption rate (W/g) |
| mri_r1 | MRI relaxation rate r1 (mM⁻¹·s⁻¹) | |
| mri_r2 | MRI relaxation rate r2 (mM⁻¹·s⁻¹) | |
| Experimental Details | zfc_h_meas | Field used for ZFC measurement (kOe) |
| instrument | Instrument used for measurement (e.g., SQUID) | |
| Metadata | doi | DOI of the publication |
| title | Article title | |
| journal | Journal name | |
| publisher | Publisher name | |
| year | Year of publication | |
| Filename of the associated PDF | ||
| access | Access status: 1 = OA, 0 = closed | |
| Validation | verification required | Whether manual verification is needed |
| verified_by | Name of validator | |
| verification_date | Date of verification | |
| has_mistake_in_matadata | Whether metadata has a mistake | |
| comment | Notes by validator | |
| Internal IDs | article_name_folder | Internal folder name for the article |
| supp_info_name_folder | Supplementary info folder name |
Metadata¶
| Field | Description |
|---|---|
| doi | Digital Object Identifier |
| title | Title of the article |
| journal | Name of the journal |
| publisher | Publisher’s name |
| year | Year published |
| PDF file name in the archive | |
| access | 1 = open access, 0 = closed |
Key Notes
- Purpose: Extraction and structuring of magnetic properties data from nanoparticle research
- Key Features: • Comprehensive magnetic characterization • Multiple size measurement techniques • Detailed crystallographic information • Application-specific parameters (MRI, hyperthermia)
- Data Sources: Combines three distinct datasets with different focus areas
- Validation: Includes both automated and manual verification processes
Dataset Description¶
The Magnetic Nanomaterials Dataset is a comprehensive collection of data focusing on magnetic nanoparticles and their properties. It encompasses information from three distinct datasets, each contributing unique aspects of magnetic nanomaterial characterization:
- Core-shell structures and compositions
- Magnetic properties measured through various techniques
- Application-specific characteristics for medical applications
- Detailed structural and morphological information
The dataset is particularly valuable for researchers working in: - Magnetic resonance imaging (MRI) - Magnetic hyperthermia - Exchange bias phenomena - Nanoparticle synthesis and characterization