cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zcfb7k3jn8
title: Genetic diversity of Echinococcus multilocularis from red foxes and humans in northern and northeastern Poland investigated using the microsatellite EmsB

description: Raw FSA files (fsa_files), normalised EmsB profiles of Echinococcus multilocularis metacestodes from humans and adult tapeworms from red foxes hunted in selected districts of Pomorskie, Warmińsko-Mazurskie, and Podlaskie Voivodships (profiles.txt), and an R script generating a UPGMA phenogram cut with genetic distance thresholds and/or Dynamic Tree Cut (hierarchical_clustering.R).
DOI: 10.17632/zcfb7k3jn8.1
title: Genetic diversity of Echinococcus multilocularis from red foxes and humans in northern and northeastern Poland investigated using the microsatellite EmsB

description: Raw FSA files (fsa_files), normalised EmsB profiles of Echinococcus multilocularis metacestodes from humans and adult tapeworms from red foxes hunted in selected districts of Pomorskie, Warmińsko-Mazurskie, and Podlaskie Voivodships (profiles.txt), and an R script generating a UPGMA phenogram cut with genetic distance thresholds and/or Dynamic Tree Cut (hierarchical_clustering.R).
DOI: 10.17632/tgfp8r7d7g
title: Dataset Of Dietary Patterns, Anthropometric Indices, and Biochemical Markers in Adults with Non-Alcoholic Fatty Liver Disease: Insights for Metabolic Health Research

description: This dataset, includes data from 280 adults (18–65 years) with NAFLD, recruited from Gonabad University of Medical Sciences, Iran, in 2024. It examines dietary patterns, anthropometric indices, biochemical markers, and NAFLD severity to inform nutritional interventions for metabolic health.
Overview
Embedded in the article, the dataset comprises three tables with raw and adjusted data (corrected for age, sex, physical activity). Collected via standardized methods (questionnaires, 24-hour dietary recalls, clinical measurements, ultrasonography), it includes demographic, anthropometric, dietary, physical activity, biochemical, and NAFLD severity data, supporting diverse statistical analyses.
Tables
Table 1: Participant CharacteristicsFor 280 participants: 
Demographic: Age (46.06 ± 12.37 years), sex (63.6% female), education (47.1% higher). 
Anthropometric: BMI (29.19 ± 4.14 kg/m²), waist circumference (100.99 ± 9.24 cm). 
Dietary: Energy intake (2899.61 ± 783.33 kcal) via three 24-hour recalls. 
Physical Activity: Levels (63.2% low, 30.7% moderate, 6.1% high). 
Biochemical: Triglycerides (186.32 ± 84.66 mg/dL), cholesterol (193.97 ± 37.65 mg/dL), LDL-C (113.74 ± 30.02 mg/dL), HDL-C (42.12 ± 11.68 mg/dL), glucose (95.35 ± 8.71 mg/dL), ALT (54.69 ± 32.35 U/L), AST (37.19 ± 19.06 U/L). 
NAFLD Severity: Grades (24.6% grade 1, 63.2% grade 2, 12.2% grade 3).
Table 2: Food Groups and Factor LoadingsLists 23 food groups (e.g., vegetables, red meat) with factor loadings (&gt;0.2) for healthy and unhealthy dietary patterns (KMO: 0.571; Bartlett’s: χ² = 1074.60, p &lt; 0.001).
Table 3: Associations with Metabolic FactorsShows dietary pattern associations with BMI, HDL-C, cholesterol, and NAFLD grades via regression (e.g., healthy pattern: lower BMI, p=0.041; higher HDL-C, p=0.040; unhealthy pattern: higher cholesterol, p=0.007).
Data Collection
Participants had NAFLD, no chronic diseases, special diets, smoking, or alcohol use. Methods: 
Demographic: Questionnaires. 
Anthropometric: Seca scale, wall-mounted tape. 
Dietary: 24-hour recalls. 
Physical Activity: IPAQ-SF. 
Biochemical: Blood analysis (Pars Azmoon kit). 
NAFLD: Samsung RS80A ultrasonography.

Accessibility
Available at https://data.mendeley.com/drafts/tgfp8r7d7g, with an SPSS output file for analysis. Supports exploratory analyses, interventions, meta-analyses, and policy development.
Value
From an underrepresented region, this dataset informs NAFLD research with reliable data, despite limitations (e.g., sampling bias, recall bias, cross-sectional design).
Ethics
Follows Declaration of Helsinki, with consent and approval (IR.TBZMED.REC.1402.750). Supported by Nutrition Research Center, Tabriz (ID: 73108).

***The dataset is also provided as an SPSS output file, facilitating direct statistical analysis for researchers using SPSS software.
DOI: 10.17632/tgfp8r7d7g.3
title: Dataset Of Dietary Patterns, Anthropometric Indices, and Biochemical Markers in Adults with Non-Alcoholic Fatty Liver Disease: Insights for Metabolic Health Research

description: This dataset, includes data from 280 adults (18–65 years) with NAFLD, recruited from Gonabad University of Medical Sciences, Iran, in 2024. It examines dietary patterns, anthropometric indices, biochemical markers, and NAFLD severity to inform nutritional interventions for metabolic health.
Overview
Embedded in the article, the dataset comprises three tables with raw and adjusted data (corrected for age, sex, physical activity). Collected via standardized methods (questionnaires, 24-hour dietary recalls, clinical measurements, ultrasonography), it includes demographic, anthropometric, dietary, physical activity, biochemical, and NAFLD severity data, supporting diverse statistical analyses.
Tables
Table 1: Participant CharacteristicsFor 280 participants: 
Demographic: Age (46.06 ± 12.37 years), sex (63.6% female), education (47.1% higher). 
Anthropometric: BMI (29.19 ± 4.14 kg/m²), waist circumference (100.99 ± 9.24 cm). 
Dietary: Energy intake (2899.61 ± 783.33 kcal) via three 24-hour recalls. 
Physical Activity: Levels (63.2% low, 30.7% moderate, 6.1% high). 
Biochemical: Triglycerides (186.32 ± 84.66 mg/dL), cholesterol (193.97 ± 37.65 mg/dL), LDL-C (113.74 ± 30.02 mg/dL), HDL-C (42.12 ± 11.68 mg/dL), glucose (95.35 ± 8.71 mg/dL), ALT (54.69 ± 32.35 U/L), AST (37.19 ± 19.06 U/L). 
NAFLD Severity: Grades (24.6% grade 1, 63.2% grade 2, 12.2% grade 3).
Table 2: Food Groups and Factor LoadingsLists 23 food groups (e.g., vegetables, red meat) with factor loadings (&gt;0.2) for healthy and unhealthy dietary patterns (KMO: 0.571; Bartlett’s: χ² = 1074.60, p &lt; 0.001).
Table 3: Associations with Metabolic FactorsShows dietary pattern associations with BMI, HDL-C, cholesterol, and NAFLD grades via regression (e.g., healthy pattern: lower BMI, p=0.041; higher HDL-C, p=0.040; unhealthy pattern: higher cholesterol, p=0.007).
Data Collection
Participants had NAFLD, no chronic diseases, special diets, smoking, or alcohol use. Methods: 
Demographic: Questionnaires. 
Anthropometric: Seca scale, wall-mounted tape. 
Dietary: 24-hour recalls. 
Physical Activity: IPAQ-SF. 
Biochemical: Blood analysis (Pars Azmoon kit). 
NAFLD: Samsung RS80A ultrasonography.

Accessibility
Available at https://data.mendeley.com/drafts/tgfp8r7d7g, with an SPSS output file for analysis. Supports exploratory analyses, interventions, meta-analyses, and policy development.
Value
From an underrepresented region, this dataset informs NAFLD research with reliable data, despite limitations (e.g., sampling bias, recall bias, cross-sectional design).
Ethics
Follows Declaration of Helsinki, with consent and approval (IR.TBZMED.REC.1402.750). Supported by Nutrition Research Center, Tabriz (ID: 73108).

***The dataset is also provided as an SPSS output file, facilitating direct statistical analysis for researchers using SPSS software.
DOI: 10.34810/data613
title: Raw data to support the manuscript with the following scope: Protein releasability from synthetic secretory amyloids

description: Raw data of a set of experiments aimed to investigate artificial secretory amyloids
description: Generic methodologies used here are similar to those described in https://doi.org/10.1002/advs.201902420
DOI: 10.17632/hb3kvgfcvm.1
title: MangoLeafVarietyBD: An Image Dataset for Multi-Class Mango Variety Classification in Bangladesh

description: MangoLeafVarietyBD Dataset is a carefully selected image set on the classification of mango varieties containing 2,744 raw mango-leaf shots (which were augmented to 19,208 images) of eight mango varieties: Amrapali, Banana, Bandigori, Himsagar, Surjapuri, Harivanga, Kacha Mitha, and Brunei King. The consumer mobile phones were used to capture images in natural lighting in Thakurgaon District and Daffodil International University (Savar, Dhaka) and processed with background removal and resized to 244x244px. The data is divided into class-specific folders that are compatible with pyTorch/TensorFlow ImageFolder and to facilitate transparency and reuse, the data comes with reproducible Google Colab notebooks to preprocess, augment, and train examples. It is aimed at sustaining improvement and benchmarking of working, field-deployable mango sorting systems of low-resource agrifood environments.
DOI: 10.17632/6ygv8zfmk2
title: Computational identification of novel c-MET receptor tyrosine kinase inhibitors in lung cancer through pharmacophore-based screening, docking studies, ADMET evaluation, and molecular dynamic simulations

description: This dataset contains pharmacophore modelling, molecular docking results, binding poses, and MD simulation trajectory files used in the study titled "Computational identification of novel c-MET receptor tyrosine kinase inhibitors in lung cancer through pharmacophore-based screening, docking studies, ADMET evaluation, and molecular dynamic simulations." The study includes validation of pharmacophore models, pharmacophore‑based virtual screening interaction plots, trajectory analysis outputs, and some figures used for validating binding stability. The data was generated using Maestro v. 9.0 and GROMACS (2024) and supports the findings reported in the manuscript.
DOI: 10.17632/6ygv8zfmk2.1
title: Computational identification of novel c-MET receptor tyrosine kinase inhibitors in lung cancer through pharmacophore-based screening, docking studies, ADMET evaluation, and molecular dynamic simulations

description: This dataset contains pharmacophore modelling, molecular docking results, binding poses, and MD simulation trajectory files used in the study titled "Computational identification of novel c-MET receptor tyrosine kinase inhibitors in lung cancer through pharmacophore-based screening, docking studies, ADMET evaluation, and molecular dynamic simulations." The study includes validation of pharmacophore models, pharmacophore‑based virtual screening interaction plots, trajectory analysis outputs, and some figures used for validating binding stability. The data was generated using Maestro v. 9.0 and GROMACS (2024) and supports the findings reported in the manuscript.
DOI: 10.17632/3866tj3w8v
title: Geographically extensive spectral library of peatland vegetation from 13 hemiboreal, boreal, sub-Arctic and Arctic peatland sites

description: This dataset includes 446 hemispherical-conical reflectance factors at wavelengths from 350 to 2500 nm measured on 13 hemiboreal, boreal, sub-Arctic and Arctic peatland sites in Finland and Estonia. The measurements were made during growing seasons of 2022 and 2023, on 1 m × 1 m plots under diffuse illumination conditions. The dataset includes also the site ID, country of the measurement, name of the peatland site, date of the measurement, coordinates of the plot, Finnish peatland type for the measurements done in Finland and tree-covert type for the measurements done in Estonia, basal area of the dead and alive standing trees by species, soil moisture at 6cm depth measured from five points of the plot, and vegetation fractional cover of the plot, as well as the quality class of the SWIR data on wavelengths 2025–2310 nm. For more elaborate description of the contents, see Data_description.pdf. Furthermore, a detailed description of the data acquisition and preprocessing is provided in Salko et al. [1].

The spectra are reported in two versions: as raw data (“_raw”) and as smoothed with Savitzky-Golay smoothing (_smoothed). The Savitzky-Golay smoothing was applied using a second order polynomial and a window size of 15 nm in the 350 to 1000 nm region, 39 nm in the 1001 to 2000 nm region and 75 nm in the 2001–2500 nm region. The atmospheric water absorption regions with high levels of noise are present at 1330–1549 nm, 1761–2024 nm, and 2311–2500 nm. In the _raw version, there reflectance factors on the water absorption regions are included in the data, and in the _smoothed version, they are omitted. 


If you use this dataset, please cite [1] and [2].

[1] Salko, S.-S., Hovi, A., Burdun, I., Juola, J., Rautiainen, M. (2024). Hyperspectral characterization of vegetation in hemiboreal, boreal and Arctic peatlands using a geographically extensive field dataset. Ecological Informatics, DOI: 10.1016/j.ecoinf.2024.102772
[2] Salko, S.-S., Hovi, A., Burdun, I., Juola, J., Rautiainen, M. (2024). Geographically extensive spectral library of peatland vegetation from 13 hemiboreal, boreal, sub-Arctic and Arctic peatland sites. Mendeley Data, V2, DOI: 10.17632/3866tj3w8v.2
DOI: 10.17632/3866tj3w8v.2
title: Geographically extensive spectral library of peatland vegetation from 13 hemiboreal, boreal, sub-Arctic and Arctic peatland sites

description: This dataset includes 446 hemispherical-conical reflectance factors at wavelengths from 350 to 2500 nm measured on 13 hemiboreal, boreal, sub-Arctic and Arctic peatland sites in Finland and Estonia. The measurements were made during growing seasons of 2022 and 2023, on 1 m × 1 m plots under diffuse illumination conditions. The dataset includes also the site ID, country of the measurement, name of the peatland site, date of the measurement, coordinates of the plot, Finnish peatland type for the measurements done in Finland and tree-covert type for the measurements done in Estonia, basal area of the dead and alive standing trees by species, soil moisture at 6cm depth measured from five points of the plot, and vegetation fractional cover of the plot, as well as the quality class of the SWIR data on wavelengths 2025–2310 nm. For more elaborate description of the contents, see Data_description.pdf. Furthermore, a detailed description of the data acquisition and preprocessing is provided in Salko et al. [1].

The spectra are reported in two versions: as raw data (“_raw”) and as smoothed with Savitzky-Golay smoothing (_smoothed). The Savitzky-Golay smoothing was applied using a second order polynomial and a window size of 15 nm in the 350 to 1000 nm region, 39 nm in the 1001 to 2000 nm region and 75 nm in the 2001–2500 nm region. The atmospheric water absorption regions with high levels of noise are present at 1330–1549 nm, 1761–2024 nm, and 2311–2500 nm. In the _raw version, there reflectance factors on the water absorption regions are included in the data, and in the _smoothed version, they are omitted. 


If you use this dataset, please cite [1] and [2].

[1] Salko, S.-S., Hovi, A., Burdun, I., Juola, J., Rautiainen, M. (2024). Hyperspectral characterization of vegetation in hemiboreal, boreal and Arctic peatlands using a geographically extensive field dataset. Ecological Informatics, DOI: 10.1016/j.ecoinf.2024.102772
[2] Salko, S.-S., Hovi, A., Burdun, I., Juola, J., Rautiainen, M. (2024). Geographically extensive spectral library of peatland vegetation from 13 hemiboreal, boreal, sub-Arctic and Arctic peatland sites. Mendeley Data, V2, DOI: 10.17632/3866tj3w8v.2
DOI: 10.17632/p853tx4zmb
title: Immunosuppressed patients undergoing Mohs micrographic surgery: A cross-sectional analysis of the MohsAIQ national data registry - Supplemental Materials

description: Supplemental materials for the manuscript titled, "Immunosuppressed patients undergoing Mohs micrographic surgery: A cross-sectional analysis of the MohsAIQ national data registry."
DOI: 10.17632/p853tx4zmb.1
title: Immunosuppressed patients undergoing Mohs micrographic surgery: A cross-sectional analysis of the MohsAIQ national data registry - Supplemental Materials

description: Supplemental materials for the manuscript titled, "Immunosuppressed patients undergoing Mohs micrographic surgery: A cross-sectional analysis of the MohsAIQ national data registry."
DOI: 10.17632/59nkm369yb
title: Thermal Biology Freeman et al. 2025

description: Data for Freeman et al., (2025) Journal of Thermal Biology - Pronounced hyperthermia is thought to be important for thermoregulation during hot weather in animals inhabiting humid environments where high atmospheric humidity constrains evaporative cooling. To assess the role of facultative, reversible hyperthermia in avian thermoregulation under hot, humid conditions, we examined how humidity influences thermoregulatory performance at air temperatures (Tair) exceeding normothermic body temperature (Tb) in red-billed queleas (Quelea quelea), a species capable of extreme hyperthermia (Tb &gt; 48 °C). Using flow-through respirometry, we exposed queleas to Tair = 34 °C - 50 °C at four experimental absolute humidities (6 g H2O m− 3, 13 g H2O m− 3, 19 g H2O m− 3, and 25 g H2O m-3). Across these humidity treatments, resting metabolic rate, evaporative water loss and maximum evaporative cooling efficiency responded similarly to increasing Tair, and maximum tolerable body temperature (Tbmax) remained consistent (48.60 ± 0.40 °C). Heat tolerance limits (HTL; environmental temperatures associated with thermoregulatory failure) averaged Tair = 48.41 ± 1.03 °C and did not vary among humidity treatments. At Tair &gt; ~44.5 °C, evaporative cooling efficiency plateaued and queleas became poikilothermic, with Tb tracking Tair ≤ ~48.4 °C. These findings demonstrate extreme hyperthermia tolerance can offset the constraints on evaporative cooling imposed by high humidity, allowing some birds to tolerate extreme combinations of heat and humidity. We propose a modification to an existing conceptual framework of the thermoregulatory roles of facultative hyperthermia to accommodate the effects of humidity on evaporative cooling and heat tolerance limits.
DOI: 10.17632/59nkm369yb.1
title: Thermal Biology Freeman et al. 2025

description: Data for Freeman et al., (2025) Journal of Thermal Biology - Pronounced hyperthermia is thought to be important for thermoregulation during hot weather in animals inhabiting humid environments where high atmospheric humidity constrains evaporative cooling. To assess the role of facultative, reversible hyperthermia in avian thermoregulation under hot, humid conditions, we examined how humidity influences thermoregulatory performance at air temperatures (Tair) exceeding normothermic body temperature (Tb) in red-billed queleas (Quelea quelea), a species capable of extreme hyperthermia (Tb &gt; 48 °C). Using flow-through respirometry, we exposed queleas to Tair = 34 °C - 50 °C at four experimental absolute humidities (6 g H2O m− 3, 13 g H2O m− 3, 19 g H2O m− 3, and 25 g H2O m-3). Across these humidity treatments, resting metabolic rate, evaporative water loss and maximum evaporative cooling efficiency responded similarly to increasing Tair, and maximum tolerable body temperature (Tbmax) remained consistent (48.60 ± 0.40 °C). Heat tolerance limits (HTL; environmental temperatures associated with thermoregulatory failure) averaged Tair = 48.41 ± 1.03 °C and did not vary among humidity treatments. At Tair &gt; ~44.5 °C, evaporative cooling efficiency plateaued and queleas became poikilothermic, with Tb tracking Tair ≤ ~48.4 °C. These findings demonstrate extreme hyperthermia tolerance can offset the constraints on evaporative cooling imposed by high humidity, allowing some birds to tolerate extreme combinations of heat and humidity. We propose a modification to an existing conceptual framework of the thermoregulatory roles of facultative hyperthermia to accommodate the effects of humidity on evaporative cooling and heat tolerance limits.
DOI: 10.17632/zv7ktk53bd
title: Sustainable Financing in the Manufacturing Sector of Bangladesh: A study on the Textile Industry

description: The integrated analysis of quantitative and qualitative data provides a diverse assessment of the present state of green finance awareness, adoption intent and sustainability-related practices within textile industries in Bangladesh. The quantitative dataset that was derived from the spider chart encompasses three core dimensions: Regulatory Effectiveness, Online Platform Utilization and Waste Fabric Management. The computed mean scores for these indicators were approximately 3, 2.82 and 3.27 respectively, based on a five-point Likert scale. These results suggest that while respondents exhibit moderate confidence in existing regulatory frameworks and digital engagement, in waste fabric management, the demonstrated performance is slightly higher, yet still the implementation level is quite modest
DOI: 10.17632/zv7ktk53bd.1
title: Sustainable Financing in the Manufacturing Sector of Bangladesh: A study on the Textile Industry

description: The integrated analysis of quantitative and qualitative data provides a diverse assessment of the present state of green finance awareness, adoption intent and sustainability-related practices within textile industries in Bangladesh. The quantitative dataset that was derived from the spider chart encompasses three core dimensions: Regulatory Effectiveness, Online Platform Utilization and Waste Fabric Management. The computed mean scores for these indicators were approximately 3, 2.82 and 3.27 respectively, based on a five-point Likert scale. These results suggest that while respondents exhibit moderate confidence in existing regulatory frameworks and digital engagement, in waste fabric management, the demonstrated performance is slightly higher, yet still the implementation level is quite modest
DOI: 10.5517/cc5m8fg
title: CCDC 167475: Experimental Crystal Structure Determination

description: Related Article: P.Gamez, R.H.Steensma, W.L.Driessen, J.Reedijk|2002|Inorg.Chim.Acta|333|51|doi:10.1016/S0020-1693(02)00754-5
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5m8gh
title: CCDC 167476: Experimental Crystal Structure Determination

description: Related Article: P.Gamez, R.H.Steensma, W.L.Driessen, J.Reedijk|2002|Inorg.Chim.Acta|333|51|doi:10.1016/S0020-1693(02)00754-5
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5pmxc
title: CCDC 169753: Experimental Crystal Structure Determination

description: Related Article: Ning-Hai Hu, K.Aoki, A.O.Adeyemo, G.N.Williams|2002|Inorg.Chim.Acta|333|63|doi:10.1016/S0020-1693(02)00757-0
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5pmyd
title: CCDC 169754: Experimental Crystal Structure Determination

description: Related Article: Ning-Hai Hu, K.Aoki, A.O.Adeyemo, G.N.Williams|2002|Inorg.Chim.Acta|333|63|doi:10.1016/S0020-1693(02)00757-0
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.