cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gwmmrk6m5m
title: Bleaching shsho Cream

description: Dataset Summary (Short Version):
Dataset Info:

Entries: 100 patients
Columns: 10 (Patient_ID, Initial/ Post_Use Brightness, Moisture, Texture, Improvement Metrics)
Key Columns:

Patient_ID: Unique ID for each patient.
Initial/ Post_Use Brightness: Brightness level before and after use.
Initial/ Post_Use Moisture: Moisture level before and after use.
Initial/ Post_Use Texture: Texture measurement before and after use.
Brightness, Moisture, Texture Improvement: Differences between initial and post-use measurements.
Summary Statistics:

Brightness Improvement: Mean = 20.55, Std = 8.49
Moisture Improvement: Mean = 19.47, Std = 9.15
Texture Improvement: Mean = 2.02, Std = 0.93
Data Integrity:

No missing values in any columns.
Key Observations:

Significant improvement in Brightness, Moisture, and Texture after product use.
The Moisture Improvement shows the largest mean change.
Texture Improvement is more consistent compared to other improvements.
DOI: 10.17632/9mbfj2bg2y
title: Supplemental Data: Silver-Russell syndrome secondary to rare (epi)genotypes display diverse phenotypes and frequently do not fulfil clinical diagnostic criteria

description: We aimed to evaluate the suitability of SRS as an umbrella term for these (epi)genotypes by identifying key clinical features and assessing the validity of NH-CSS. An extensive literature search identified 17 CDKN1C, 21 IGF2, 17 HMGA2 and 10 PLAG1 monogenic defects. Clinical phenotypes including the NH-CSS criteria were interrogated to assess (dis)similarity between the molecular subgroups of SRS, including grouped imprinted (common and monogenic) and non imprinted monogenic molecular causes. The NH-CSS poorly identified monogenic SRS. The diverse clinical features of PLAG1, CDKN1C, HMGA2 and IGF2 defects hinders the clinical diagnosis, and these rarer (epi)genotypes could be considered as distinct entities.
DOI: 10.17632/ctpmchrhxc
title: Sequence data of the ITS region and the rbcLa, rpoC1, trnL and trnH-psbA gene regions

description: This dataset includes the ITS region sequences and several gene regions of chloroplast genomic DNA isolated from Ludwigia octovalvis collected in Tam Dao National Park, Vinh Phuc province, Vietnam. The ITS region sequence (18S ribosomal RNA gene, partial sequence; internal transcribed spacer 1, 5.8S ribosomal RNA gene, and internal transcribed spacer 2, complete sequence; and 28S ribosomal RNA gene, partial sequence) is 834 bp in length. The rbcL gene region is 722 bp in length; the rpoC1 gene is 467 bp in length; The trnL region (tRNA-Leu (trnL) gene, partial sequence and intergenic spacer is 853 bp in length; the trnH-psbA region (tRNA-His (trnH) gene, partial sequence; psbA gene, partial cds) is 517 bp in length.
DOI: 10.17632/j552fjnbvr
title: 20241203 aquatic exercise_cardiovascular fitness

description: This is the data search process for a meta-analysis studying the effects of aquatic exercise on cardiovascular health.
DOI: 10.17632/4dxxjd99wc
title: An Innovative Decision-Making Methodology for Design Concept Evaluation: Integrating Kano Model and Enhanced GRP Method with Interval-Valued Picture Fuzzy Set

description: original data
DOI: 10.17632/7ff2cbxk5v
title: sortagged nanobodies sequences for manuscript "PET imaging of HIV-1 envelope protein gp120 using 18F-labeled nanobodies"

description: sortag gp120 nanobodies sequences
DOI: 10.17632/66xmdvjbps
title: fibroheart

description: data corresponding to "Cardiac fibrosis inhibitor CTPR390 prevents structural and morphological changes in collagen and fibroblasts of engineered human connective tissue"
DOI: 10.17632/9bm6mbz82g
title: Soil experiment-16S rRNA gene amplicon sequencing

description: To investigate the response of rhizobacteria communities to soil suspension under different phosphate conditions, rhizosphere soil samples from Col-0 and fer-4 grown in HP-T-SS or LP-T-SS were collected for soil experiment 16S rRNA gene amplicon sequencing. Soil samples from HP-T-SS (without plant) were collected as control and considered as bulk soil (BS).
DOI: 10.3886/e217361v1
title: Development and Implementation of a Multiple Stage Emergency Care Training Program In Kono, Sierra Leone: A Clinician-Educator Curriculum

description: Low- and middle-income countries (LMICs) face a disproportionate burden of acute diseases exacerbated by limited emergency care. Sierra Leone exemplifies these challenges, with one of the lowest doctor-to-population ratios globally and severe deficiencies in emergency care education and infrastructure. To address this critical need, we implemented an emergency care training program at Koidu General Hospital (KGH) targeted at Community Health Officers (CHOs) and nurses. We further developed an educator training curriculum aimed at transitioning program graduates into clinician-educators.Despite significant technological barriers and limited prior educational experience, we successfully trained a cohort of educators who demonstrated markedly improved self-efficacy and received strong reviews from students. Moving forward, our next steps involve gradually transitioning the cohort to more autonomous roles while reducing reliance on international assistance. We believe this model offers a promising approach to sustainable emergency care development in resource-limited settings by building local educational capacity.
DOI: 10.3886/e217361
title: Development and Implementation of a Multiple Stage Emergency Care Training Program In Kono, Sierra Leone: A Clinician-Educator Curriculum

description: Low- and middle-income countries (LMICs) face a disproportionate burden of acute diseases exacerbated by limited emergency care. Sierra Leone exemplifies these challenges, with one of the lowest doctor-to-population ratios globally and severe deficiencies in emergency care education and infrastructure. To address this critical need, we implemented an emergency care training program at Koidu General Hospital (KGH) targeted at Community Health Officers (CHOs) and nurses. We further developed an educator training curriculum aimed at transitioning program graduates into clinician-educators.Despite significant technological barriers and limited prior educational experience, we successfully trained a cohort of educators who demonstrated markedly improved self-efficacy and received strong reviews from students. Moving forward, our next steps involve gradually transitioning the cohort to more autonomous roles while reducing reliance on international assistance. We believe this model offers a promising approach to sustainable emergency care development in resource-limited settings by building local educational capacity.
DOI: 10.3886/e217361v2
title: Development and Implementation of a Multiple Stage Emergency Care Training Program In Kono, Sierra Leone: A Clinician-Educator Curriculum

description: Low- and middle-income countries (LMICs) face a disproportionate burden of acute diseases exacerbated by limited emergency care. Sierra Leone exemplifies these challenges, with one of the lowest doctor-to-population ratios globally and severe deficiencies in emergency care education and infrastructure. To address this critical need, we implemented an emergency care training program at Koidu General Hospital (KGH) targeted at Community Health Officers (CHOs) and nurses. We further developed an educator training curriculum aimed at transitioning program graduates into clinician-educators.Despite significant technological barriers and limited prior educational experience, we successfully trained a cohort of educators who demonstrated markedly improved self-efficacy and received strong reviews from students. Moving forward, our next steps involve gradually transitioning the cohort to more autonomous roles while reducing reliance on international assistance. We believe this model offers a promising approach to sustainable emergency care development in resource-limited settings by building local educational capacity.
DOI: 10.17632/x3z9sp7vgd
title: Data for: Mesenteric cyst as a presentation of chronic midgut volvulus in a 12 year old boy

description: Intestinal malrotation is a congenital anomaly of intestinal rotation and fixation that is generally symptomatic in the neonatal population. However, malrotation in an important minority is diagnosed long after infancy and is not manifested by the typical clinical manifestation of acute bilious vomiting with or without abdominal distension in an otherwise normal newborn. Here, we present a case of mesenteric cyst as a presentation of chronic midgut volvulus in a 12 year old male patient with intestinal malrotation.
DOI: 10.17632/2662n276cg
title: Central bank digital currency payment adoption dataset

description: Central bank digital currency payment adoption dataset
DOI: 10.17632/xj4hccbhm8
title: Data and analyses cross-validation EPICC Tool-it

description: Source data in file format .dat for the all dataset and for the two subsamples; Mplus input-output files for the EFA and CFA performed.
The multicentre, cross-sectional validation study to which the data belongs aimed to cross-culturally adapt and psychometrically test the Italian version of the EPICC Spiritual Care Competency Self-Assessment Tool for nurses (EPICC Tool-It).
The 28-item EPICC Tool was translated into Italian and culturally adapted following a rigorous methodology. A nationwide survey was conducted. Psychometric evaluation included content validity, structural validity (exploratory and confirmatory factor analyses), construct validity (known group analysis), and reliability using Cronbach's alpha, McDonald's omega, and factor score determinacy.
The sample included 725 nurses (76% female, 80% hospital-based), on average 38.7 years old (SD 11.33), with 14.6 (SD 11.03) years of experience. Confirmatory factor analysis supported a four-factor model (Knowledge of spirituality, Attitudes towards spirituality and spiritual care, Knowledge of spiritual care, and Skills in spiritual care), with a second-order factor for the EPICC Tool-It. Construct validity was supported through known group analysis, showing score variation based on nurses' experience, education, and religiosity. Internal consistency was excellent across all factors and the overall scale.
A valid, multidimensional instrument is provided to assess spiritual care competencies in Italian-speaking nurses. The EPICC Tool-It is suitable for research and practice, facilitating evaluation of self-perceived competencies and educational effectiveness.
Implications for the Profession and/or Patient Care: The use of the EPICC Tool-It by nursing managers, educators, and clinicians is recommended in both clinical and research settings to support education on spiritual care competencies.
DOI: 10.17632/v5ztjt8wcj
title: Data for: Urban fruit bats give birth earlier in the season compared to rural females

description: Data collected from 10 colonies in urban and rural locations in Israel over 3 years
DOI: 10.17632/8frktxtw72
title: LDHU3_20.2140

description: mt-SAF2 | KRIPP2; Leishmania donovani (HU3 strain)
DOI: 10.17632/zh3gxfdrr4
title: raw data_2024_12_23

description: raw data with the animals, the infrared thermographic temperature parameters and the health parameters, of the article "Infrared thermography in dairy goats – initial findings in relation to health parameters";
DOI: 10.5281/zenodo.11081815
title: HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification

description: In this paper, we release the largest three-level hierarchical cervical dataset (HiCervix), and propose a hierarchical vision transformer-based classification benchmark method (HierSwin).



HiCervix Dataset:


HiCervix includes 40,229 cervical cells and is categorized into 29 annotated classes. These classes are organized within a three-level hierarchical tree to capture fine-grained subtype information.

 



Citation


Please use below to cite this paper if you find our work useful in your research.

Cai D, Chen J, Zhao J, Xue Y, Yang S, Yuan W, Feng M, Weng H, Liu S, Peng Y, Zhu J, Wang K, Jackson C, Tang H, Huang J, Wang X. HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification. IEEE Trans Med Imaging. 2024 Jun 26;PP. doi: 10.1109/TMI.2024.3419697. Epub ahead of print. PMID: 38923481.
DOI: 10.5281/zenodo.11081816
title: HiCervix: An Extensive Hierarchical Dataset for Cervical Cytology Classification

description: In this paper, we release the largest three-level hierarchical cervical dataset (HiCervix), and propose a hierarchical vision transformer-based classification benchmark method (HierSwin).



HiCervix Dataset:


HiCervix includes 40,229 cervical cells and is categorized into 29 annotated classes. These classes are organized within a three-level hierarchical tree to capture fine-grained subtype information.

 



Citation


Please use below to cite this paper if you find our work useful in your research.
DOI: 10.5281/zenodo.11087263
title: HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification

description: In this paper, we release the largest three-level hierarchical cervical dataset (HiCervix), and propose a hierarchical vision transformer-based classification benchmark method (HierSwin).



HiCervix Dataset:


HiCervix includes 40,229 cervical cells and is categorized into 29 annotated classes. These classes are organized within a three-level hierarchical tree to capture fine-grained subtype information.

 



Citation


Please use below to cite this paper if you find our work useful in your research.

Cai D, Chen J, Zhao J, Xue Y, Yang S, Yuan W, Feng M, Weng H, Liu S, Peng Y, Zhu J, Wang K, Jackson C, Tang H, Huang J, Wang X. HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification. IEEE Trans Med Imaging. 2024 Jun 26;PP. doi: 10.1109/TMI.2024.3419697. Epub ahead of print. PMID: 38923481.
DOI: 10.5281/zenodo.14290980
title: DATASET: Modelos de Inteligencia artificial para la detección de la madurez del mango

description: This dataset has been compiled and structured as part of a literature review of Artificial Intelligence (AI) models for mango maturity detection. The main objective of this review is to identify and evaluate the AI models that show the greatest effectiveness in classifying mango maturity, using a variety of criteria and formats established for the analysis.

The dataset includes information drawn from previous studies on the use of AI techniques (such as machine learning, neural networks and computer vision) applied to mango maturity. Evaluation criteria include accuracy, generalizability, model complexity, among other important factors used to determine the effectiveness of each model.

This dataset is organized according to the key categories that were identified in the literature review, allowing researchers to get a clear view of the most promising models and their characteristics.
DOI: 10.5281/zenodo.14290981
title: DATASET: Modelos de Inteligencia artificial para la detección de la madurez del mango

description: This dataset has been compiled and structured as part of a literature review of Artificial Intelligence (AI) models for mango maturity detection. The main objective of this review is to identify and evaluate the AI models that show the greatest effectiveness in classifying mango maturity, using a variety of criteria and formats established for the analysis.

The dataset includes information drawn from previous studies on the use of AI techniques (such as machine learning, neural networks and computer vision) applied to mango maturity. Evaluation criteria include accuracy, generalizability, model complexity, among other important factors used to determine the effectiveness of each model.

This dataset is organized according to the key categories that were identified in the literature review, allowing researchers to get a clear view of the most promising models and their characteristics.
DOI: 10.5281/zenodo.14676185
title: DATASET: Modelos de Inteligencia artificial para la detección de la madurez del mango

description: This dataset has been compiled and structured as part of a literature review of Artificial Intelligence (AI) models for mango maturity detection. The main objective of this review is to identify and evaluate the AI models that show the greatest effectiveness in classifying mango maturity, using a variety of criteria and formats established for the analysis.

The dataset includes information drawn from previous studies on the use of AI techniques (such as machine learning, neural networks and computer vision) applied to mango maturity. Evaluation criteria include accuracy, generalizability, model complexity, among other important factors used to determine the effectiveness of each model.

This dataset is organized according to the key categories that were identified in the literature review, allowing researchers to get a clear view of the most promising models and their characteristics.
DOI: 10.5281/zenodo.14708165
title: DATASET: Modelos de Inteligencia artificial para la detección de la madurez del mango

description: This dataset has been compiled and structured as part of a literature review of Artificial Intelligence (AI) models for mango maturity detection. The main objective of this review is to identify and evaluate the AI models that show the greatest effectiveness in classifying mango maturity, using a variety of criteria and formats established for the analysis.

The dataset includes information drawn from previous studies on the use of AI techniques (such as machine learning, neural networks and computer vision) applied to mango maturity. Evaluation criteria include accuracy, generalizability, model complexity, among other important factors used to determine the effectiveness of each model.

This dataset is organized according to the key categories that were identified in the literature review, allowing researchers to get a clear view of the most promising models and their characteristics.
DOI: 10.5281/zenodo.14783714
title: DATASET: Modelos de Inteligencia artificial para la detección de la madurez del mango

description: This dataset has been compiled and structured as part of a literature review of Artificial Intelligence (AI) models for mango maturity detection. The main objective of this review is to identify and evaluate the AI models that show the greatest effectiveness in classifying mango maturity, using a variety of criteria and formats established for the analysis.

The dataset includes information drawn from previous studies on the use of AI techniques (such as machine learning, neural networks and computer vision) applied to mango maturity. Evaluation criteria include accuracy, generalizability, model complexity, among other important factors used to determine the effectiveness of each model.

This dataset is organized according to the key categories that were identified in the literature review, allowing researchers to get a clear view of the most promising models and their characteristics.
DOI: 10.17632/6vfrjcc9y7
title: nsp8_biophysical_data_kurauskas

description: AUC data for full length apo nsp8 and DLC correlation functions and calculated particle sizes
DOI: 10.17632/pb3vdxvcfv
title: Navigating Climate Shifts: Three Decades of Winter Wheat Phenology and yield in Bavaria, Germany

description: Figures and data for the manuscript: Navigating Climate Shifts: Three Decades of Winter Wheat Phenology and yield in Bavaria, Germany
DOI: 10.17632/87334kb4hz
title: MATLAB files for the paper "Direct Sequential Generation of Optimal Eigenvectors of the Symmetric Kernel of the Discrete Hankel Transform"

description: A set of contributed MATLAB functions pertaining to the paper "Direct Sequential Generation of Optimal Eigenvectors of the Symmetric Kernel of the Discrete Hankel Transform"
DOI: 10.17632/cz4vfsk28h
title: Extensive preclinical validation of combined RMC-4550 and LY3214996 supports clinical investigation for KRAS mutant pancreatic cancer. Frank et al. Uncropped Western Blot

description: Uncropped western blot pictures from the paper:
"Extensive preclinical validation of combined RMC-4550 and LY3214996 supports clinical investigation for KRAS mutant pancreatic cancer"
Frank et al., Cell Reports Medicine.
DOI: 10.17632/ynpbgwnrbm
title: CELL POPULATION DATA

description: EVALUATION OF HEMATOLOGICAL LABORATORY PARAMETERS IN WOMEN AT THE BEGINNING OF THE COVID-19 PANDEMIC IN BRAZIL
DOI: 10.17632/y8wr2rknys
title: Molecular Identification and Isolation of Antimicrobial, Phytochemical, Antioxidant Properties of Different Solvent Extracts from Wild Mushrooms

description: The main objective of the present research work was to identify the unknown wild mushrooms based on morphological characteristics and DNA based sequencing by using universal primers ITS 1 and ITS 4 which were collected from Andhra Pradesh and Telangana. To test the potential of various extracts of mushrooms by using three different solvents (Methanol, Hot Water and Hexane). To elucidate antimicrobial properties, qualitative and quantitative estimation of phytochemical properties and antioxidant activity was determined by DPPH free radical scavenging activity. Then, IC50 values were determined. The four isolates were identified on the basis of morphological and molecular characterization was identified as Trametes versicolor, Daedaleopsis confragosa, Schizophyllum communae and Tyromyces chioneus. Three different solvents had been shown good antimicrobial activity against all pathogenic microorganisms. The hot water extract of T. versicolor exhibited more amount of phenol content (11.13±0.081) and ascorbic acid content (9.62±0.086). Methanol extract of S. communae showed high amount of flavonoids content (12.58±0.138). Methanol extract of T. chioneus exhibited more amount of β-carotene (3.54±0.010) and hot water extract of D. confragosa exhibited more amount of lycopene content (2.29±0.012). The DPPH free radical scavenging activity and IC50 values was much more exhibited by methanol extracts then followed by hot water extracts and hexane extracts of wild mushrooms they all have exhibited stronger antioxidant activity between (40-50 µg/ml). This comprehensive analysis demonstrates that these mushrooms having a viable source of natural antioxidants that can utilized for functional foods, nutraceutical’s applications with beneficial biological activities and implementation of new drug discovery.
DOI: 10.17632/59f4xsy26t
title: Zinc-lysine complex supplementation

description: These two databases contain results from two experiments conducted to evaluate the impact of zinc-lysine complex supplementation in post-weaning piglets.
DOI: 10.17632/ggb4h4fxf4
title: dat_nppr_2025_amano

description: The data measured the risk of relapse drinking in a group of patients with alcohol use disorder who received combined cognitive-behavioral therapy and attention bias modification practice, as well as in a group that received cognitive-behavioral therapy alone.