cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/d1g35i/sehjkj
title: Aprile_1932_Pagina_107.jpg

description: Bulletin of 1932/04/27
DOI: 10.17632/66xz3yx582
title: Supplemental Table 1. Multivariable Cox proportional hazards model of factors associated with overall survival in Sebaceous Carcinoma with TTDS as months

description: Multivariable Cox proportional hazards model of factors associated with overall survival in Sebaceous Carcinoma with TTDS (Time to Definitive Surgery) as months
DOI: 10.13130/rd_unimi/cpqdte/sgrvsk
title: Aprile_1929_Pagina_097.jpg

description: Bulletin of 1929/04/25
DOI: 10.13130/rd_unimi/cpqdte/ulgenm
title: Aprile_1929_Pagina_098.jpg

description: Bulletin of 1929/04/25
DOI: 10.13130/rd_unimi/d1g35i/h0faik
title: Aprile_1932_Pagina_108.jpg

description: Bulletin of 1932/04/27
DOI: 10.13130/rd_unimi/cpqdte/ytwz4u
title: Aprile_1929_Pagina_099.jpg

description: Bulletin of 1929/04/25
DOI: 10.13130/rd_unimi/d1g35i/9rzjmj
title: Aprile_1932_Pagina_109.jpg

description: Bulletin of 1932/04/28
DOI: 10.17632/66xz3yx582.3
title: Supplemental Table 1. Multivariable Cox proportional hazards model of factors associated with overall survival in Sebaceous Carcinoma with TTDS as months

description: Multivariable Cox proportional hazards model of factors associated with overall survival in Sebaceous Carcinoma with TTDS (Time to Definitive Surgery) as months
DOI: 10.13130/rd_unimi/cpqdte/tzwnah
title: Aprile_1929_Pagina_100.jpg

description: Bulletin of 1929/04/25
DOI: 10.13130/rd_unimi/d1g35i/nfif3f
title: Aprile_1932_Pagina_110.jpg

description: Bulletin of 1932/04/28
DOI: 10.13130/rd_unimi/d1g35i/wbmmn4
title: Aprile_1932_Pagina_111.jpg

description: Bulletin of 1932/04/28
DOI: 10.13130/rd_unimi/cpqdte/ks5g2o
title: Aprile_1929_Pagina_101.jpg

description: Bulletin of 1929/04/26
DOI: 10.13130/rd_unimi/d1g35i/iomws6
title: Aprile_1932_Pagina_112.jpg

description: Bulletin of 1932/04/28
DOI: 10.17632/sc64w6n9bh
title: Supplemental Table 2. Multivariable Cox proportional hazards model of factors associated with overall survival in Sebaceous Carcinoma with TTDS as Days

description: Supplemental Table 2. Multivariable Cox proportional hazards model of factors associated with overall survival in Sebaceous Carcinoma with TTDS (Time to Definitive Surgery) as Days
DOI: 10.13130/rd_unimi/cpqdte/5j5oiv
title: Aprile_1929_Pagina_102.jpg

description: Bulletin of 1929/04/26
DOI: 10.13130/rd_unimi/cpqdte/zshylv
title: Aprile_1929_Pagina_103.jpg

description: Bulletin of 1929/04/26
DOI: 10.13130/rd_unimi/d1g35i/xxmzly
title: Aprile_1932_Pagina_113.jpg

description: Bulletin of 1932/04/29
DOI: 10.13130/rd_unimi/cpqdte/qiqkyu
title: Aprile_1929_Pagina_104.jpg

description: Bulletin of 1929/04/26
DOI: 10.13130/rd_unimi/d1g35i/t0qdkg
title: Aprile_1932_Pagina_114.jpg

description: Bulletin of 1932/04/29
DOI: 10.17632/sc64w6n9bh.2
title: Supplemental Table 2. Multivariable Cox proportional hazards model of factors associated with overall survival in Sebaceous Carcinoma with TTDS as Days

description: Supplemental Table 2. Multivariable Cox proportional hazards model of factors associated with overall survival in Sebaceous Carcinoma with TTDS (Time to Definitive Surgery) as Days
DOI: 10.13130/rd_unimi/cpqdte/kychco
title: Aprile_1929_Pagina_105.jpg

description: Bulletin of 1929/04/27
DOI: 10.13130/rd_unimi/d1g35i/4djjjw
title: Aprile_1932_Pagina_115.jpg

description: Bulletin of 1932/04/29
DOI: 10.13130/rd_unimi/cpqdte/qpkfzi
title: Aprile_1929_Pagina_106.jpg

description: Bulletin of 1929/04/27
DOI: 10.13130/rd_unimi/d1g35i/1qvnqg
title: Aprile_1932_Pagina_116.jpg

description: Bulletin of 1932/04/29
DOI: 10.13130/rd_unimi/d1g35i/71gty4
title: Aprile_1932_Pagina_117.jpg

description: Bulletin of 1932/04/30
DOI: 10.13130/rd_unimi/cpqdte/jpj9ps
title: Aprile_1929_Pagina_108.jpg

description: Bulletin of 1929/04/27
DOI: 10.13130/rd_unimi/cpqdte/kukb8e
title: Aprile_1929_Pagina_107.jpg

description: Bulletin of 1929/04/27
DOI: 10.13130/rd_unimi/d1g35i/xeddlu
title: Aprile_1932_Pagina_118.jpg

description: Bulletin of 1932/04/30
DOI: 10.13130/rd_unimi/cpqdte/w8j8hs
title: Aprile_1929_Pagina_109.jpg

description: Bulletin of 1929/04/28
DOI: 10.13130/rd_unimi/d1g35i/nesjmm
title: Aprile_1932_Pagina_119.jpg

description: Bulletin of 1932/04/30
DOI: 10.17632/myh7d7h8w7
title: Circular economy collaborations of a large multinational fashion company

description: Contains the Excel file of the database of innovative collaborations in the circular economy of the Swedish multinational company H&M, as well as financial data used in analysis.
DOI: 10.13130/rd_unimi/cpqdte/yirgcf
title: Aprile_1929_Pagina_110.jpg

description: Bulletin of 1929/04/28
DOI: 10.13130/rd_unimi/d1g35i/vfeata
title: Aprile_1932_Pagina_120.jpg

description: Bulletin of 1932/04/30
DOI: 10.17632/myh7d7h8w7.3
title: Circular economy collaborations of a large multinational fashion company

description: Contains the Excel file of the database of innovative collaborations in the circular economy of the Swedish multinational company H&M, as well as financial data used in analysis.
DOI: 10.13130/rd_unimi/cpqdte/mu7zmw
title: Aprile_1929_Pagina_111.jpg

description: Bulletin of 1929/04/28
DOI: 10.13130/rd_unimi/d1g35i/dhef8u
title: Dicembre_1932_Pagina_002.jpg

description: Bulletin of 1932/12/01
DOI: 10.13130/rd_unimi/d1g35i/xhfo7p
title: Dicembre_1932_Pagina_001.jpg

description: Bulletin of 1932/12/01
DOI: 10.13130/rd_unimi/cpqdte/b7vtdf
title: Aprile_1929_Pagina_113.jpg

description: Bulletin of 1929/04/29
DOI: 10.13130/rd_unimi/cpqdte/lcpqr2
title: Aprile_1929_Pagina_112.jpg

description: Bulletin of 1929/04/28
DOI: 10.13130/rd_unimi/d1g35i/2vyzea
title: Dicembre_1932_Pagina_003.jpg

description: Bulletin of 1932/12/01
DOI: 10.13130/rd_unimi/cpqdte/a3jple
title: Aprile_1929_Pagina_114.jpg

description: Bulletin of 1929/04/29
DOI: 10.13130/rd_unimi/d1g35i/lpga1t
title: Dicembre_1932_Pagina_004.jpg

description: Bulletin of 1932/12/01
DOI: 10.13130/rd_unimi/cpqdte/4d3zuj
title: Aprile_1929_Pagina_115.jpg

description: Bulletin of 1929/04/29
DOI: 10.13130/rd_unimi/d1g35i/wwptzq
title: Dicembre_1932_Pagina_005.jpg

description: Bulletin of 1932/12/02
DOI: 10.13130/rd_unimi/cpqdte/kwpetd
title: Aprile_1929_Pagina_116.jpg

description: Bulletin of 1929/04/29
DOI: 10.13130/rd_unimi/d1g35i/bcrrlc
title: Dicembre_1932_Pagina_006.jpg

description: Bulletin of 1932/12/02
DOI: 10.13130/rd_unimi/d1g35i/ynsoer
title: Dicembre_1932_Pagina_007.jpg

description: Bulletin of 1932/12/02
DOI: 10.17632/tfvpjjfc2k
title: Biological control of Tetranychus urticae by Chrysoperla externa

description: Chrysoperla externa is an important biological control agent, whose performance may be influenced by the presence of trichomes. Although C. externa is registered for the control of Tetranychus urticae, limited information is available on its effectiveness, particularly under trichome conditions. This study evaluated the potential of C. externa to suppress T. urticae and examined the influence of trichomes. Laboratory bioassays assessed: the consumption of T. urticae by different predator instars and across mite developmental stages; the effect of trichomes on predator behavior using BORIS software; functional response of C. externa larvae; and predation in the presence of webbing. Under protected cultivation, were evaluated the effect of different release densities (0, 3, 6, and 10 larvae per plant) and releases performed on plants with one versus seven days of infestation. Analyses were conducted in R using GLMs (Poisson, Quasipoisson, and Negative Binomial) for laboratory data and GLMMs (Negative Binomial 1 and 2) for greenhouse trials, with trifoliate area as a random factor. All instars of C. externa consumed T. urticae, with higher consumption in later instars (p&lt;0.001). Eggs and nymphs were consumed more than adults (p&lt;0.001). Trichome presence increased the predation occurence (p&lt;0.01). Larvae exhibited a Type II functional response (p&lt;0.001). Webbing reduced consumption (p&lt;0.001). In greenhouse trials, higher release densities resulted in greater mite suppression (p&lt;0.001). Releases performed on plants with only one day of infestation provided superior control (p&lt;0.001). Overall, C. externa showed potential as a natural enemy against T. urticae, and trichome presence may enhance its activity.
DOI: 10.13130/rd_unimi/cpqdte/eqcthy
title: Aprile_1929_Pagina_117.jpg

description: Bulletin of 1929/04/30
DOI: 10.13130/rd_unimi/cpqdte/lnu0j1
title: Aprile_1929_Pagina_118.jpg

description: Bulletin of 1929/04/30
DOI: 10.13130/rd_unimi/d1g35i/t8l1ls
title: Dicembre_1932_Pagina_008.jpg

description: Bulletin of 1932/12/02
DOI: 10.13130/rd_unimi/cpqdte/rye4cj
title: Aprile_1929_Pagina_119.jpg

description: Bulletin of 1929/04/30
DOI: 10.13130/rd_unimi/d1g35i/su25yh
title: Dicembre_1932_Pagina_009.jpg

description: Bulletin of 1932/12/03
DOI: 10.17632/tfvpjjfc2k.1
title: Biological control of Tetranychus urticae by Chrysoperla externa

description: Chrysoperla externa is an important biological control agent, whose performance may be influenced by the presence of trichomes. Although C. externa is registered for the control of Tetranychus urticae, limited information is available on its effectiveness, particularly under trichome conditions. This study evaluated the potential of C. externa to suppress T. urticae and examined the influence of trichomes. Laboratory bioassays assessed: the consumption of T. urticae by different predator instars and across mite developmental stages; the effect of trichomes on predator behavior using BORIS software; functional response of C. externa larvae; and predation in the presence of webbing. Under protected cultivation, were evaluated the effect of different release densities (0, 3, 6, and 10 larvae per plant) and releases performed on plants with one versus seven days of infestation. Analyses were conducted in R using GLMs (Poisson, Quasipoisson, and Negative Binomial) for laboratory data and GLMMs (Negative Binomial 1 and 2) for greenhouse trials, with trifoliate area as a random factor. All instars of C. externa consumed T. urticae, with higher consumption in later instars (p&lt;0.001). Eggs and nymphs were consumed more than adults (p&lt;0.001). Trichome presence increased the predation occurence (p&lt;0.01). Larvae exhibited a Type II functional response (p&lt;0.001). Webbing reduced consumption (p&lt;0.001). In greenhouse trials, higher release densities resulted in greater mite suppression (p&lt;0.001). Releases performed on plants with only one day of infestation provided superior control (p&lt;0.001). Overall, C. externa showed potential as a natural enemy against T. urticae, and trichome presence may enhance its activity.
DOI: 10.13130/rd_unimi/cpqdte/dqtibi
title: Aprile_1929_Pagina_120.jpg

description: Bulletin of 1929/04/30
DOI: 10.13130/rd_unimi/d1g35i/fbsylp
title: Dicembre_1932_Pagina_010.jpg

description: Bulletin of 1932/12/03
DOI: 10.13130/rd_unimi/d1g35i/pwkqhy
title: Dicembre_1932_Pagina_011.jpg

description: Bulletin of 1932/12/03
DOI: 10.13130/rd_unimi/cpqdte/5ay2ov
title: Dicembre_1929_Pagina_001.jpg

description: Bulletin of 1929/12/01
DOI: 10.13130/rd_unimi/cpqdte/wneixq
title: Dicembre_1929_Pagina_002.jpg

description: Bulletin of 1929/12/01
DOI: 10.13130/rd_unimi/d1g35i/cmypuf
title: Dicembre_1932_Pagina_012.jpg

description: Bulletin of 1932/12/03
DOI: 10.13130/rd_unimi/cpqdte/iuwnqf
title: Dicembre_1929_Pagina_003.jpg

description: Bulletin of 1929/12/01
DOI: 10.13130/rd_unimi/d1g35i/elauxr
title: Dicembre_1932_Pagina_013.jpg

description: Bulletin of 1932/12/04
DOI: 10.26207/2rew-2b38
title: GRAthena:BHBH:0004

description: Data release for the binary GRAthena:BHBH:0004

This database contains synthetic gravitational-wave data generated with the GR-Athena++ code. See the README for more details.
DOI: 10.13130/rd_unimi/cpqdte/8mimuu
title: Dicembre_1929_Pagina_004.jpg

description: Bulletin of 1929/12/01
DOI: 10.13130/rd_unimi/d1g35i/anhczb
title: Dicembre_1932_Pagina_014.jpg

description: Bulletin of 1932/12/04
DOI: 10.17632/r83s42chjv.1
title: Research on the Diverse Paths of Urban Low-Altitude Economic Development from a Supply and Demand Perspective --evidence from Chinese cities

description: This dataset includes detailed data for the 8 secondary indicators and 23 tertiary indicators shown in Figure 1 (Configuration Analysis Framework of Influencing Factors on the Development Effectiveness of Urban Low-Altitude Economy).
DOI: 10.13130/rd_unimi/cpqdte/grfryb
title: Dicembre_1929_Pagina_005.jpg

description: Bulletin of 1929/12/02
DOI: 10.13130/rd_unimi/d1g35i/gxf8tk
title: Dicembre_1932_Pagina_015.jpg

description: Bulletin of 1932/12/04
DOI: 10.13130/rd_unimi/cpqdte/1lrdkq
title: Dicembre_1929_Pagina_006.jpg

description: Bulletin of 1929/12/02
DOI: 10.13130/rd_unimi/cpqdte/bkw4eh
title: Dicembre_1929_Pagina_007.jpg

description: Bulletin of 1929/12/02
DOI: 10.13130/rd_unimi/d1g35i/qye5yw
title: Dicembre_1932_Pagina_017.jpg

description: Bulletin of 1932/12/05
DOI: 10.13130/rd_unimi/d1g35i/wxfijb
title: Dicembre_1932_Pagina_016.jpg

description: Bulletin of 1932/12/04
DOI: 10.17632/ft5z9yk94n
title: Dataset on School Readiness among Indonesian Junior and Senior High School Students

description: This dataset contains responses from 1,182 junior and senior high school students in Indonesia assessing their levels of school readiness across cognitive–motivational, behavioral, and social–emotional domains. It also includes related outcome variables such as learning satisfaction, school well-being, and academic self-efficacy, all measured using Likert-scale items.
DOI: 10.13130/rd_unimi/cpqdte/wyduhk
title: Dicembre_1929_Pagina_008.jpg

description: Bulletin of 1929/12/02
DOI: 10.13130/rd_unimi/d1g35i/xfzch9
title: Dicembre_1932_Pagina_018.jpg

description: Bulletin of 1932/12/05
DOI: 10.17632/ft5z9yk94n.2
title: Dataset on School Readiness among Indonesian Junior and Senior High School Students

description: This dataset contains responses from 1,182 junior and senior high school students in Indonesia assessing their levels of school readiness across cognitive–motivational, behavioral, and social–emotional domains. It also includes related outcome variables such as learning satisfaction, school well-being, and academic self-efficacy, all measured using Likert-scale items.
DOI: 10.13130/rd_unimi/cpqdte/kravc1
title: Dicembre_1929_Pagina_009.jpg

description: Bulletin of 1929/12/03
DOI: 10.13130/rd_unimi/d1g35i/xyte6u
title: Dicembre_1932_Pagina_019.jpg

description: Bulletin of 1932/12/05
DOI: 10.13130/rd_unimi/cpqdte/2yc3rf
title: Dicembre_1929_Pagina_010.jpg

description: Bulletin of 1929/12/03
DOI: 10.13130/rd_unimi/d1g35i/bzocfl
title: Dicembre_1932_Pagina_020.jpg

description: Bulletin of 1932/12/05
DOI: 10.13130/rd_unimi/d1g35i/si3352
title: Dicembre_1932_Pagina_021.jpg

description: Bulletin of 1932/12/06
DOI: 10.13130/rd_unimi/cpqdte/3hhdwp
title: Dicembre_1929_Pagina_012.jpg

description: Bulletin of 1929/12/03
DOI: 10.13130/rd_unimi/cpqdte/mef9gy
title: Dicembre_1929_Pagina_011.jpg

description: Bulletin of 1929/12/03
DOI: 10.13130/rd_unimi/d1g35i/lw2jsi
title: Dicembre_1932_Pagina_022.jpg

description: Bulletin of 1932/12/06
DOI: 10.13130/rd_unimi/cpqdte/pmvbqs
title: Dicembre_1929_Pagina_013.jpg

description: Bulletin of 1929/12/04
DOI: 10.13130/rd_unimi/d1g35i/43idqz
title: Dicembre_1932_Pagina_023.jpg

description: Bulletin of 1932/12/06
DOI: 10.13130/rd_unimi/cpqdte/dwmhli
title: Dicembre_1929_Pagina_014.jpg

description: Bulletin of 1929/12/04
DOI: 10.13130/rd_unimi/d1g35i/iiwzt8
title: Dicembre_1932_Pagina_024.jpg

description: Bulletin of 1932/12/06
DOI: 10.13130/rd_unimi/cpqdte/k12sei
title: Dicembre_1929_Pagina_015.jpg

description: Bulletin of 1929/12/04
DOI: 10.13130/rd_unimi/d1g35i/nlqpiq
title: Dicembre_1932_Pagina_025.jpg

description: Bulletin of 1932/12/07
DOI: 10.13130/rd_unimi/d1g35i/swboqu
title: Dicembre_1932_Pagina_026.jpg

description: Bulletin of 1932/12/07
DOI: 10.13130/rd_unimi/cpqdte/2gaea7
title: Dicembre_1929_Pagina_016.jpg

description: Bulletin of 1929/12/04
DOI: 10.13130/rd_unimi/cpqdte/ykpy8c
title: Dicembre_1929_Pagina_017.jpg

description: Bulletin of 1929/12/05
DOI: 10.13130/rd_unimi/d1g35i/ao2uox
title: Dicembre_1932_Pagina_027.jpg

description: Bulletin of 1932/12/07
DOI: 10.17632/c62yn37d9h
title: Frequency-Domain Ultrasonic Signal Dataset for Battery Electrode Thickness Prediction

description: 📘 Dataset Description

This dataset contains frequency-domain ultrasonic signals of the backwall echo from lithium-ion battery electrodes, measured before and after the calendering process.
It is curated for research in ultrasonic signal processing, machine learning, and battery manufacturing, with a particular focus on predicting electrode thickness and analyzing how calendering affects ultrasonic responses.

⚙️ Dataset Overview

Electrode Types

🔵 Anode (Graphite): Samples labeled as GA_1, GA_2, GA_3, etc.

🟢 Cathode (NMC622): Samples labeled as NMC622_1, NMC622_2, NMC622_3, etc.

Calendering States

Each electrode sample includes two conditions:

before-calendering.json

after-calendering.json

Signals

Each sample includes the frequency-domain representation of the backwall echo (trimmed from the 7.5–10 µs portion of the original ultrasonic signal).

The signals have been transformed using the Fast Fourier Transform (FFT) and include two key arrays:

fft_frequency (in MHz): Represents the spectral frequency components of the signal.

fft_magnitude (normalized a.u.): Represents the amplitude or strength of each frequency component.

Only the positive frequency range (0.75–15 MHz) is retained to capture meaningful physical information while reducing redundancy.

🎯 Target Variable

The dataset also provides the average electrode thickness (µm), measured across three regions.

This value serves as the ground truth for regression and machine learning tasks.

🧠 Applications

🔹 Predicting electrode thickness using frequency-domain ultrasonic features.

🔹 Studying the impact of calendering on ultrasonic signal responses.

🔹 Benchmarking machine learning and deep learning models for electrode property prediction.

🔹 Exploring spectral characteristics, feature extraction, and frequency-domain signal analysis.

💾 Data Structure

Each .json file contains:

Metadata — Sample ID and process parameters (Web Speed (m/min), Roll Gap (μm), Coat Weight (gsm), Calendering Speed (mm/sec), Thickness (μm), and Density (g/cm³))

fft_frequency — Frequency values (MHz).

fft_magnitude — Corresponding normalized FFT amplitude.

Example filenames:

Anode/GA_1/before-calendering.json

Anode/GA_1/after-calendering.json

Cathode/NMC622_1/before-calendering.json

Cathode/NMC622_1/after-calendering.json

🧩 Supporting Scripts

📊 visualisation.py — A helper script to visualise FFT magnitude spectra and compare before and after calendering states.

🤖 Machine Learning Script (under Machine Learning/ directory) — Contain complete workflow for feature extraction, 5-fold cross-validation, and model training/testing using the FFT data and measured thickness.

📂 Intended Use

This dataset supports:

Academic research in battery electrode characterization,

Development of data-driven ultrasonic analysis models, and

Benchmarking of machine learning pipelines for industrial process monitoring.
DOI: 10.13130/rd_unimi/cpqdte/hnn6lh
title: Dicembre_1929_Pagina_018.jpg

description: Bulletin of 1929/12/05
DOI: 10.13130/rd_unimi/d1g35i/na33gc
title: Dicembre_1932_Pagina_028.jpg

description: Bulletin of 1932/12/07
DOI: 10.13130/rd_unimi/cpqdte/pyokg7
title: Dicembre_1929_Pagina_019.jpg

description: Bulletin of 1929/12/05
DOI: 10.13130/rd_unimi/d1g35i/i0geyw
title: Dicembre_1932_Pagina_029.jpg

description: Bulletin of 1932/12/08
DOI: 10.17632/c62yn37d9h.4
title: Frequency-Domain Ultrasonic Signal Dataset for Battery Electrode Thickness Prediction

description: 📘 Dataset Description

This dataset contains frequency-domain ultrasonic signals of the backwall echo from lithium-ion battery electrodes, measured before and after the calendering process.
It is curated for research in ultrasonic signal processing, machine learning, and battery manufacturing, with a particular focus on predicting electrode thickness and analyzing how calendering affects ultrasonic responses.

⚙️ Dataset Overview

Electrode Types

🔵 Anode (Graphite): Samples labeled as GA_1, GA_2, GA_3, etc.

🟢 Cathode (NMC622): Samples labeled as NMC622_1, NMC622_2, NMC622_3, etc.

Calendering States

Each electrode sample includes two conditions:

before-calendering.json

after-calendering.json

Signals

Each sample includes the frequency-domain representation of the backwall echo (trimmed from the 7.5–10 µs portion of the original ultrasonic signal).

The signals have been transformed using the Fast Fourier Transform (FFT) and include two key arrays:

fft_frequency (in MHz): Represents the spectral frequency components of the signal.

fft_magnitude (normalized a.u.): Represents the amplitude or strength of each frequency component.

Only the positive frequency range (0.75–15 MHz) is retained to capture meaningful physical information while reducing redundancy.

🎯 Target Variable

The dataset also provides the average electrode thickness (µm), measured across three regions.

This value serves as the ground truth for regression and machine learning tasks.

🧠 Applications

🔹 Predicting electrode thickness using frequency-domain ultrasonic features.

🔹 Studying the impact of calendering on ultrasonic signal responses.

🔹 Benchmarking machine learning and deep learning models for electrode property prediction.

🔹 Exploring spectral characteristics, feature extraction, and frequency-domain signal analysis.

💾 Data Structure

Each .json file contains:

Metadata — Sample ID and process parameters (Web Speed (m/min), Roll Gap (μm), Coat Weight (gsm), Calendering Speed (mm/sec), Thickness (μm), and Density (g/cm³))

fft_frequency — Frequency values (MHz).

fft_magnitude — Corresponding normalized FFT amplitude.

Example filenames:

Anode/GA_1/before-calendering.json

Anode/GA_1/after-calendering.json

Cathode/NMC622_1/before-calendering.json

Cathode/NMC622_1/after-calendering.json

🧩 Supporting Scripts

📊 visualisation.py — A helper script to visualise FFT magnitude spectra and compare before and after calendering states.

🤖 Machine Learning Script (under Machine Learning/ directory) — Contain complete workflow for feature extraction, 5-fold cross-validation, and model training/testing using the FFT data and measured thickness.

📂 Intended Use

This dataset supports:

Academic research in battery electrode characterization,

Development of data-driven ultrasonic analysis models, and

Benchmarking of machine learning pipelines for industrial process monitoring.
DOI: 10.13130/rd_unimi/cpqdte/b2upex
title: Dicembre_1929_Pagina_021.jpg

description: Bulletin of 1929/12/06
DOI: 10.13130/rd_unimi/cpqdte/v1xewx
title: Dicembre_1929_Pagina_020.jpg

description: Bulletin of 1929/12/05
DOI: 10.13130/rd_unimi/d1g35i/kinahu
title: Dicembre_1932_Pagina_030.jpg

description: Bulletin of 1932/12/08
DOI: 10.13130/rd_unimi/d1g35i/qdkwtb
title: Dicembre_1932_Pagina_031.jpg

description: Bulletin of 1932/12/08
DOI: 10.13130/rd_unimi/cpqdte/fsfehv
title: Dicembre_1929_Pagina_022.jpg

description: Bulletin of 1929/12/06
DOI: 10.13130/rd_unimi/d1g35i/eppwis
title: Dicembre_1932_Pagina_032.jpg

description: Bulletin of 1932/12/08