cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8yp43vgkkj
title: Scalp micropigmentation is an effective treatment for localized alopecia: technical analysis and a series of ten case reports

description: Research Hypothesis:
Scalp micropigmentation (SMP) is a safe and effective minimally invasive cosmetic procedure for improving the appearance of localized alopecia, including androgenetic and scarring subtypes. Technical refinements in needle selection, pigment layering, and implantation depth can optimize outcomes and patient satisfaction.
What the data shows:
The data comprises clinical outcomes from ten patients with localized alopecia (6 with androgenetic alopecia, 4 with scarring alopecia) who underwent a standardized three-session SMP protocol. Results show significant cosmetic improvement, with high immediate post-treatment Visual Density Scores (VDS: 8.7 ± 1.1) and Patient Satisfaction Scores (PSS: 2.7/3). At 6-month follow-up, VDS remained high (7.7 ± 1.4), though scarring alopecia showed greater fading. A strong correlation was found between VDS and PSS (ρ = 0.91, p &lt; 0.001). No adverse events were reported.
Notable findings:
 Androgenetic alopecia cases showed better pigment retention than scarring alopecia (ΔVDS = 0.9 vs. 1.6, p = 0.03).
 85.7% of androgenetic alopecia patients reported being "very satisfied" (PSS = 3).
 Technical refinements (e.g., zone-specific needle selection, randomized pigment distribution, incremental density increase) contributed to natural-looking results.
Interpretation:
The data supports SMP as a viable cosmetic solution for localized alopecia, with sustained outcomes and high patient satisfaction. The technique is particularly effective for androgenetic alopecia, while scarring alopecia may require more frequent touch-ups. The strong correlation between objective and subjective measures validates the use of VDS and PSS as reliable evaluation tools.
Data description:
The dataset includes:
 Pre- and post-treatment clinical photographs of ten patients
 Visual Density Scores (VDS) and Patient Satisfaction Scores (PSS) recorded immediately post-treatment and at 6-month follow-up
 Technical parameters (needle types, pigment density per session, implantation depth protocol)
 Patient demographics and alopecia subtypes
Data collection method:
Data were collected from ten patients treated at the Second Affiliated Hospital of Chongqing Medical University. Standardized SMP sessions were conducted at one-week intervals. Outcomes were assessed using VDS (0–10 scale) and PSS (0–3 scale). Photographic documentation was performed at each session and follow-up. Statistical analysis was conducted using Spearman’s correlation and paired t-tests.
How to interpret and use the data:
The data can be used to evaluate the efficacy and safety of SMP in clinical practice. Researchers and practitioners can reference the technical protocols (e.g., needle selection, pigment density progression) to standardize SMP procedures. The scoring systems (VDS and PSS) can be adopted for outcome assessment. The dataset may also support comparative studies or meta-analyses on cosmetic treatments for alopecia.
DOI: 10.17632/8yp43vgkkj.1
title: Scalp micropigmentation is an effective treatment for localized alopecia: technical analysis and a series of ten case reports

description: Research Hypothesis:
Scalp micropigmentation (SMP) is a safe and effective minimally invasive cosmetic procedure for improving the appearance of localized alopecia, including androgenetic and scarring subtypes. Technical refinements in needle selection, pigment layering, and implantation depth can optimize outcomes and patient satisfaction.
What the data shows:
The data comprises clinical outcomes from ten patients with localized alopecia (6 with androgenetic alopecia, 4 with scarring alopecia) who underwent a standardized three-session SMP protocol. Results show significant cosmetic improvement, with high immediate post-treatment Visual Density Scores (VDS: 8.7 ± 1.1) and Patient Satisfaction Scores (PSS: 2.7/3). At 6-month follow-up, VDS remained high (7.7 ± 1.4), though scarring alopecia showed greater fading. A strong correlation was found between VDS and PSS (ρ = 0.91, p &lt; 0.001). No adverse events were reported.
Notable findings:
 Androgenetic alopecia cases showed better pigment retention than scarring alopecia (ΔVDS = 0.9 vs. 1.6, p = 0.03).
 85.7% of androgenetic alopecia patients reported being "very satisfied" (PSS = 3).
 Technical refinements (e.g., zone-specific needle selection, randomized pigment distribution, incremental density increase) contributed to natural-looking results.
Interpretation:
The data supports SMP as a viable cosmetic solution for localized alopecia, with sustained outcomes and high patient satisfaction. The technique is particularly effective for androgenetic alopecia, while scarring alopecia may require more frequent touch-ups. The strong correlation between objective and subjective measures validates the use of VDS and PSS as reliable evaluation tools.
Data description:
The dataset includes:
 Pre- and post-treatment clinical photographs of ten patients
 Visual Density Scores (VDS) and Patient Satisfaction Scores (PSS) recorded immediately post-treatment and at 6-month follow-up
 Technical parameters (needle types, pigment density per session, implantation depth protocol)
 Patient demographics and alopecia subtypes
Data collection method:
Data were collected from ten patients treated at the Second Affiliated Hospital of Chongqing Medical University. Standardized SMP sessions were conducted at one-week intervals. Outcomes were assessed using VDS (0–10 scale) and PSS (0–3 scale). Photographic documentation was performed at each session and follow-up. Statistical analysis was conducted using Spearman’s correlation and paired t-tests.
How to interpret and use the data:
The data can be used to evaluate the efficacy and safety of SMP in clinical practice. Researchers and practitioners can reference the technical protocols (e.g., needle selection, pigment density progression) to standardize SMP procedures. The scoring systems (VDS and PSS) can be adopted for outcome assessment. The dataset may also support comparative studies or meta-analyses on cosmetic treatments for alopecia.
DOI: 10.17632/t3d4fsvtfb
title: Psychological recovery data

description: This file includes SPSS data of the study.
DOI: 10.17632/t3d4fsvtfb.1
title: Psychological recovery data

description: This file includes SPSS data of the study.
DOI: 10.17632/sk6f2cn7dh
title: A novel understanding on phosphorus fraction distribution with three dimensions in river floodplain sediment

description: The dataset includeds the basic physical and chemical information of overlying water and sediment samples in the river floodplain, which were corresponded to the Figures and Tables in the masnucript and supplemental materials.
DOI: 10.17632/sk6f2cn7dh.1
title: A novel understanding on phosphorus fraction distribution with three dimensions in river floodplain sediment

description: The dataset includeds the basic physical and chemical information of overlying water and sediment samples in the river floodplain, which were corresponded to the Figures and Tables in the masnucript and supplemental materials.
DOI: 10.17632/xstfvydpk5
title: Miserable or Lucky? Aid targeted to the financial sector

description: Our research investigates the linkage between financial aid and bank stability, focusing on the channels of financial development and macroprudential policy. We select recipient countries and particularly emphasize those receiving aid targeted at the financial sectors as the subjects of analysis. These countries often face economic instability and rely on external aid to stabilize their economic conditions or promote national financial reforms to restructure their financial system. We find that increasing financial sector-targeted aid correlates to a significant increase in non-performing loans and default risk, reducing bank stability. Our findings highlight the critical roles played by financial development and macroprudential policy in mediating financial aid’s impact on bank stability. This paper sheds light on the mechanisms involved and offers valuable insights for banks to improve their financial development and for policymakers to enhance the effectiveness of macroprudential policies.
DOI: 10.17632/xstfvydpk5.2
title: Miserable or Lucky? Aid targeted to the financial sector

description: Our research investigates the linkage between financial aid and bank stability, focusing on the channels of financial development and macroprudential policy. We select recipient countries and particularly emphasize those receiving aid targeted at the financial sectors as the subjects of analysis. These countries often face economic instability and rely on external aid to stabilize their economic conditions or promote national financial reforms to restructure their financial system. We find that increasing financial sector-targeted aid correlates to a significant increase in non-performing loans and default risk, reducing bank stability. Our findings highlight the critical roles played by financial development and macroprudential policy in mediating financial aid’s impact on bank stability. This paper sheds light on the mechanisms involved and offers valuable insights for banks to improve their financial development and for policymakers to enhance the effectiveness of macroprudential policies.
DOI: 10.17632/zz3m7y3973.2
title: Design of a Low-Cost, Portable Blower-Based Breath Simulator Using 3D Printing for Respiratory Research and Education

description: In contemporary times, as air pollution becomes increasingly severe, the challenge for healthcare in addressing respiratory-related diseases has become more urgent than ever. To assist in researching the domain of medical equipment and education training, this paper aims to create a blower-based breath simulator (BBS) for the physiological processes of spontaneous breathing by using low-cost materials and easy-to-build hardware. Specifically, the BBS focuses on providing a representation of breathing patterns, lung compliance, and airway resistance. Notably, the BBS is built on a portable 3D printable components-based structure designed for fast installation, offering direct control of breathing modes, and can be operated for a long time. Besides, the experimental test is built according to ISO 806601-2-79:2018, with testing on a dual adult training test lung from Michigan Instruments for peak inspiratory pressure, respiratory rate, positive end-expiratory pressure, tidal volume, proximal pressure, lung pressure, and demonstrating repeatability. As a result, the BBS meets initial design criteria, which comprise being lightweight, approximately 1.5 kg for the ventilator unit, and low cost, around $650 per unit, fast production time, approximately 100 continuous hours for 3D printing, and 105 hours in total for the complete trial process.
DOI: 10.17632/36gp2kd4jj
title: DiPolMol-Py: A Python package for calculations for 2Σ ground-state molecules

description: We present the python package DiPolMol-Py, which can be used to calculate the rotational and hyperfine structure of 2Σ molecules. The calculations can be performed in the presence of dc magnetic fields, dc electric fields and far off-resonant optical fields. We additionally include functions to calculate the polarisability of the molecule and the transition dipole moment between different energy eigenstates. The package is applicable to many of the molecules which can be laser cooled, specifically the alkaline earth fluorides. We provide a constants file which includes many of the required literature values for 40CaF, 88SrF and 138BaF. Additional species can easily be added by updating this file.
DOI: 10.17632/36gp2kd4jj.1
title: DiPolMol-Py: A Python package for calculations for 2Σ ground-state molecules

description: We present the python package DiPolMol-Py, which can be used to calculate the rotational and hyperfine structure of 2Σ molecules. The calculations can be performed in the presence of dc magnetic fields, dc electric fields and far off-resonant optical fields. We additionally include functions to calculate the polarisability of the molecule and the transition dipole moment between different energy eigenstates. The package is applicable to many of the molecules which can be laser cooled, specifically the alkaline earth fluorides. We provide a constants file which includes many of the required literature values for 40CaF, 88SrF and 138BaF. Additional species can easily be added by updating this file.
DOI: 10.17632/vf2sj5z66j.1
title: Replication Package for Discount Factors and Monetary Policy: Evidence from Dual-Listed Stocks (pseudo-data)

description: This replication package contains code and pseudo-data to reproduce the main tables and figures from “Discount Factors and Monetary Policy: Evidence from Dual-Listed Stocks.”
DOI: 10.17632/zbw3nd6db5
title: Data and Codes for "How Does Digital Services Trade Affect Green Technology Innovation? Evidence from Cross-Country Panel Data"

description: This dataset accompanies the article “How Does Digital Services Trade Affect Green Technology Innovation? Evidence from Cross-Country Panel Data.”

The research investigates the hypothesis that digital services trade can significantly promote green technology innovation by reducing institutional and technical frictions in cross-border data flows. Specifically, the study examines whether international digital connectivity fosters innovation through channels of knowledge sharing and industrial structure upgrading, and whether the cost of cross-border data flows moderates this relationship.
DOI: 10.17632/zbw3nd6db5.1
title: Data and Codes for "How Does Digital Services Trade Affect Green Technology Innovation? Evidence from Cross-Country Panel Data"

description: This dataset accompanies the article “How Does Digital Services Trade Affect Green Technology Innovation? Evidence from Cross-Country Panel Data.”

The research investigates the hypothesis that digital services trade can significantly promote green technology innovation by reducing institutional and technical frictions in cross-border data flows. Specifically, the study examines whether international digital connectivity fosters innovation through channels of knowledge sharing and industrial structure upgrading, and whether the cost of cross-border data flows moderates this relationship.
DOI: 10.17632/v56v783bvy
title: Lentiviral Transfection

description: Lentiviral Transfection
DOI: 10.17632/v56v783bvy.1
title: Lentiviral Transfection

description: Lentiviral Transfection
DOI: 10.17632/rs9ngzw9sc
title: Bioinformatics Methods

description: Bioinformatics Methods
DOI: 10.17632/rs9ngzw9sc.1
title: Bioinformatics Methods

description: Bioinformatics Methods
DOI: 10.17632/gdwmdjfj8f
title: KEGG-figer-5B

description: KEGG
DOI: 10.17632/gdwmdjfj8f.1
title: KEGG-figer-5B

description: KEGG
DOI: 10.17632/bbyxwkg46z
title: Analyzing Nursing Students’ Learning Behaviors and Outcomes Using Data-Mining Techniques: A Case Study of the Fundamentals of Nursing Course

description: The study’s data are systematically collected, preprocessed, and analyzed to explore the link between nursing students’ learning behaviors and academic performance, with details as follows:

1. Data Sources & Participants
The primary data source is the Superstar Learning management system (LMS), which provides real-time, complete behavioral and academic data. Participants are 323 undergraduate nursing students from six classes of the 2023 cohort (77 males, 23.85%; 246 females, 76.16%; aged 18–23 years).

2. Data Categories & Key Indicators
Two core data categories are collected across two semesters:
Learning behavior data: Login frequency, time-on-task, video viewing rate, resource-click paths, interactive discussion participation rate, assignment submission rate, forum posting rate, and extended resource click-through rate. A subset of task completion data (Figure 2) shows, for example, 293 students completed platform login (Task 1) vs. 31 who did not, and 304 completed assignment submission (Task 5) vs. 20 who did not.
Academic performance data: Chapter-quiz attempt frequency, stage-test scores (across 4 stages: Chapters 1–5, 6–10, 11–13, 14–18), and final examination scores.

3. Data Preprocessing
After collection, data undergo validation (to ensure completeness/consistency), outlier handling (removal or replacement), and structuring (converting unstructured text to structured format) before storage in a database—laying the groundwork for subsequent analysis.

4. Data Analysis & Key Results
Clustering analysis (k-means, SPSS 25.0): With k=4, students are grouped into 4 clusters (Figure 4):
Cluster A (n=60, High-Frequency Interaction): Highest test score (97.73) and forum posting rate (95%).
Cluster B (n=127, Resource-Oriented): High video viewing rate (99.17%, comparable to Cluster A) and test score (85.90).
Cluster C (n=103, Passive Participation): Moderate test score (72.23) and low assignment submission rate (76.90%, similar to Cluster D).
Cluster D (n=33, Low-Activity): Lowest test score (63.32) and video viewing rate (&lt;60%).

Intervention & outcome data: Post-personalized interventions, Cluster D’s video viewing and assignment submission rates improved; all clusters showed score growth (Figure 5). Second-semester final scores (80.42±7.40) were significantly higher than the first (76.02±8.67, t=23.88, P&lt;0.001). Inter-cluster differences in chapter-quiz frequency (Table 1, e.g., Chapter 3: 2.98±0.79 for A vs. 6.00±1.06 for D, F=72.03, P&lt;0.01) and test scores (Table 2, Stage 1: 90.02±1.08 for A vs. 59.58±1.48 for D, F=4759.47, P&lt;0.001) were statistically significant.
DOI: 10.17632/bbyxwkg46z.1
title: Analyzing Nursing Students’ Learning Behaviors and Outcomes Using Data-Mining Techniques: A Case Study of the Fundamentals of Nursing Course

description: The study’s data are systematically collected, preprocessed, and analyzed to explore the link between nursing students’ learning behaviors and academic performance, with details as follows:

1. Data Sources & Participants
The primary data source is the Superstar Learning management system (LMS), which provides real-time, complete behavioral and academic data. Participants are 323 undergraduate nursing students from six classes of the 2023 cohort (77 males, 23.85%; 246 females, 76.16%; aged 18–23 years).

2. Data Categories & Key Indicators
Two core data categories are collected across two semesters:
Learning behavior data: Login frequency, time-on-task, video viewing rate, resource-click paths, interactive discussion participation rate, assignment submission rate, forum posting rate, and extended resource click-through rate. A subset of task completion data (Figure 2) shows, for example, 293 students completed platform login (Task 1) vs. 31 who did not, and 304 completed assignment submission (Task 5) vs. 20 who did not.
Academic performance data: Chapter-quiz attempt frequency, stage-test scores (across 4 stages: Chapters 1–5, 6–10, 11–13, 14–18), and final examination scores.

3. Data Preprocessing
After collection, data undergo validation (to ensure completeness/consistency), outlier handling (removal or replacement), and structuring (converting unstructured text to structured format) before storage in a database—laying the groundwork for subsequent analysis.

4. Data Analysis & Key Results
Clustering analysis (k-means, SPSS 25.0): With k=4, students are grouped into 4 clusters (Figure 4):
Cluster A (n=60, High-Frequency Interaction): Highest test score (97.73) and forum posting rate (95%).
Cluster B (n=127, Resource-Oriented): High video viewing rate (99.17%, comparable to Cluster A) and test score (85.90).
Cluster C (n=103, Passive Participation): Moderate test score (72.23) and low assignment submission rate (76.90%, similar to Cluster D).
Cluster D (n=33, Low-Activity): Lowest test score (63.32) and video viewing rate (&lt;60%).

Intervention & outcome data: Post-personalized interventions, Cluster D’s video viewing and assignment submission rates improved; all clusters showed score growth (Figure 5). Second-semester final scores (80.42±7.40) were significantly higher than the first (76.02±8.67, t=23.88, P&lt;0.001). Inter-cluster differences in chapter-quiz frequency (Table 1, e.g., Chapter 3: 2.98±0.79 for A vs. 6.00±1.06 for D, F=72.03, P&lt;0.01) and test scores (Table 2, Stage 1: 90.02±1.08 for A vs. 59.58±1.48 for D, F=4759.47, P&lt;0.001) were statistically significant.
DOI: 10.17632/t78n4xj8zn
title: TOLT validity data

description: psychometric analysis of the Arabic adaptation of the Test of Logical Thinking (TOLT), assessing its convergent validity and predictive validity
DOI: 10.17632/t78n4xj8zn.1
title: TOLT validity data

description: psychometric analysis of the Arabic adaptation of the Test of Logical Thinking (TOLT), assessing its convergent validity and predictive validity
DOI: 10.17632/kz2k3fvyzn
title: Edaphoclimatic Regions of India

description: Within this spatial dataset the FAO/UNESCO soil classes (Vargas, 2022) present within major five Climatologically Homogeneous Regions (CHR) (Patwardhan et al., 2016), their representative soil properties (Batjes, 1997) and further modified classes based on homogeneity of potential soil behaviour is provided. This dataset may support ideal species selection for agriculture and forestry based on adaptability and tolerance limits of plants to soil conditions and present and future of climatic conditions in increase efficiency in sustainable land use. The development process of the data and its potential uses are to be discussed in relevant literature.

References

Batjes, N.H. (1997). A world dataset of derived soil properties by FAO-UNESCO soil unit for
global modelling. Soil Use and Management, 13(1), pp.9–16.
doi:https://doi.org/10.1111/j.1475-2743.1997.tb00550.x.

Patwardhan, S., Kulkarni, A. and Rao, K.K. (2016). Projected changes in rainfall and temperature
over homogeneous regions of India. Theoretical and Applied Climatology, 131(1-2),
pp.581–592. doi:https://doi.org/10.1007/s00704-016-1999-z.

Vargas, R. (2022). Digital Soil Map of the World. [onine] Available at:
https://repository.soilwise-he.eu/cat/collections/metadata:main/items/446ed430-8383-11db-
b9b2-000d939bc5d8 [Accessed 6 Jul. 2025].
DOI: 10.17632/kz2k3fvyzn.2
title: Edaphoclimatic Regions of India

description: Within this spatial dataset the FAO/UNESCO soil classes (Vargas, 2022) present within major five Climatologically Homogeneous Regions (CHR) (Patwardhan et al., 2016), their representative soil properties (Batjes, 1997) and further modified classes based on homogeneity of potential soil behaviour is provided. This dataset may support ideal species selection for agriculture and forestry based on adaptability and tolerance limits of plants to soil conditions and present and future of climatic conditions in increase efficiency in sustainable land use. The development process of the data and its potential uses are to be discussed in relevant literature.

References

Batjes, N.H. (1997). A world dataset of derived soil properties by FAO-UNESCO soil unit for
global modelling. Soil Use and Management, 13(1), pp.9–16.
doi:https://doi.org/10.1111/j.1475-2743.1997.tb00550.x.

Patwardhan, S., Kulkarni, A. and Rao, K.K. (2016). Projected changes in rainfall and temperature
over homogeneous regions of India. Theoretical and Applied Climatology, 131(1-2),
pp.581–592. doi:https://doi.org/10.1007/s00704-016-1999-z.

Vargas, R. (2022). Digital Soil Map of the World. [onine] Available at:
https://repository.soilwise-he.eu/cat/collections/metadata:main/items/446ed430-8383-11db-
b9b2-000d939bc5d8 [Accessed 6 Jul. 2025].
DOI: 10.17632/pbst3rzjhm
title: Primary Teachers’ Acceptance and Sustained Adoption of AI-Powered Learner Corpora for Writing Instruction Through TAM-ECM Perspective

description: Publicly available datasets
DOI: 10.17632/pbst3rzjhm.1
title: Primary Teachers’ Acceptance and Sustained Adoption of AI-Powered Learner Corpora for Writing Instruction Through TAM-ECM Perspective

description: Publicly available datasets
DOI: 10.17632/kvjs4bmmj4
title: septic cardiomyopathy（new）