cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3t3x2p5n5j.1
title: Good and Bad classification of Brassica oleracea

description: Brassica oleracea, commonly known as kohlrabi, is a nutritious cruciferous vegetable widely consumed in South Asia. It is valued for its low calorie content, high moisture level, and crisp texture, making it suitable for healthy and diabetic-friendly diets. Kohlrabi is a good source of dietary fiber, vitamin C, vitamin B6, and minerals such as potassium, calcium, and magnesium, which support digestion, immunity, bone health, and cardiovascular function.
The standard shelf life of Brassica oleracea (kohlrabi) depends mainly on storage conditions. At ambient (room) temperature (25–30 °C), kohlrabi typically remains acceptable for 2–3 days. Rapid moisture loss, surface wrinkling, textural hardening, and microbial spoilage occur due to its high respiration rate and exposure to uncontrolled environmental conditions.
Fresh kohlrabi samples exhibiting light green to pale green coloration with smooth, firm, and intact skin represent better-preserved quality. Slight surface dullness and minor shrivelling indicate early moisture loss and onset of senescence. In contrast, severely deteriorated samples show yellowing or browning, surface cracks, fungal growth (white or grey mycelium), tissue softening, and decay, which are typical symptoms of microbial spoilage and advanced senescence. These changes reflect enzymatic tissue degradation, increased respiration rate, and microbial invasion during prolonged storage. The observations clearly indicate that after extended storage under uncontrolled or suboptimal conditions, kohlrabi becomes unsuitable for consumption, confirming its limited shelf life.
Sample Collection
Fresh and mature Brassica oleracea (kohlrabi) samples were collected from local markets of Malda Town, West Bengal, India (24°59′N, 88°08′E), and the collection location was mapped using GPS coordinates. Immediately after procurement, the samples were sorted to remove damaged, bruised, or visibly spoiled vegetables. Selected samples were thoroughly washed with normal tap water to remove adhering soil and surface contaminants.
Digital images of the samples were captured using a smartphone (Vivo T2x) operating on Android version 12. The device was equipped with an MTK Dimensity processor, 6 GB RAM, and 128 GB internal storage. Image acquisition was carried out under uniform lighting conditions to ensure clarity and consistency.
Approximately 1000 images were captured for dataset development. The images were analyzed to observe variations in color, surface texture, firmness, and visible spoilage characteristics.
In this dataset, the bad image folder contains 500 images of Brassica oleracea (kohlrabi), and the good image folder also contains 500 images of Brassica oleracea (kohlrabi). Therefore, the total number of images in the dataset is 1000.
DOI: 10.48577/jpl.pj1pqd
title: The Non-Linear Dependence of Daily Maximum Ionospheric Total Electron Content on F10.7

description: The Non-Linear Dependence of Daily Maximum Ionospheric Total Electron Content on F10.7
DOI: 10.17632/7zmz2ptztk.1
title: Sneak_early_dataset

description: In species with external fertilisation, sperm release by males is considered crucial for synchronizing with female egg release, yet little is known about sperm release strategies when females lay eggs over extended periods. In the intertidal goby Bathygobius fuscus, smaller males intrude into the nest during pair spawning, which lasts several hours, and release sperm. Here, we investigated how the timing of sneaking affects the paternity of sneaker males, using controlled aquarium experiments combined with genetic paternity analysis. Our results showed that early nest intrusion after the onset of egg-laying (within approximately 1 hour) significantly increased sneaker male paternity. This may be partly because early released sperm remain viable for several hours and can fertilise eggs laid later. Another possible mechanism is that females laid approximately 70% of their total eggs during the first hour of spawning. These findings suggest that early sneaking maximizes fertilization opportunities of sneaker males, likely as an adaptation to prolonged oviposition and long sperm longevity. This study proposes the importance of considering the timing and sequence of sperm release in understanding the consequences of sperm competition in externally fertilising species with a time gap between sperm release and fertilization, similar to that of species with internal fertilisation.
DOI: 10.17632/gbr7pcxtjf
title: Supplementary material for :Monosaccharide Profiling and Osmoprotective Effects of Camel Milk: Implications for Protein Stability and Therapeutic Use

description: This dataset contains supplementary tables and figures supporting the validation of an SPME–GC–MS/MS method for monosaccharide quantification, including calibration curves, limits of detection and quantification, precision and accuracy data, recovery studies, chromatograms, mass spectral library comparisons, and statistical analyses associated with the submitted manuscript.
This description accurately reflects:
• Calibration and validation tables (Tables 1S–4S)
• Chromatograms and library matches (Figures S1–S12)
• Recovery and precision studies for myo-inositol in milk matrices
• Extended statistical analyses (ANOVA, post-hoc tests)
DOI: 10.17632/gbr7pcxtjf.1
title: Supplementary material for :Monosaccharide Profiling and Osmoprotective Effects of Camel Milk: Implications for Protein Stability and Therapeutic Use

description: This dataset contains supplementary tables and figures supporting the validation of an SPME–GC–MS/MS method for monosaccharide quantification, including calibration curves, limits of detection and quantification, precision and accuracy data, recovery studies, chromatograms, mass spectral library comparisons, and statistical analyses associated with the submitted manuscript.
This description accurately reflects:
• Calibration and validation tables (Tables 1S–4S)
• Chromatograms and library matches (Figures S1–S12)
• Recovery and precision studies for myo-inositol in milk matrices
• Extended statistical analyses (ANOVA, post-hoc tests)
DOI: 10.17632/3fcrbfdrp5.1
title: The effects of expansionary fiscal policy on macroeconomic development: A study on tax competition in an emerging market.

description: This dataset was assembled to examine the macroeconomic effects of expansionary fiscal policy implemented through tax incentives under the state value-added tax on the circulation of goods and services (ICMS) in Santa Catarina, Brazil. The underlying research hypothesis is that tax benefits granted by subnational governments, as part of a strategy of fiscal competition, are capable of stimulating macroeconomic development, particularly economic activity and employment.
The data consists of monthly macroeconomic time series spanning the period from January 1997 to December 2020. The variables capture key dimensions of the state economy, including the real exchange rate, real interest rate, electricity consumption (used as a proxy for economic activity), exports, imports, formal employment, ICMS revenue, and inflation. These series were collected from official Brazilian institutions and state agencies, ensuring consistency, reliability, and comparability over time.
The dataset supports the estimation of a vector autoregression (VAR) model designed to trace the dynamic responses of macroeconomic variables to shocks in ICMS revenue, which reflect changes in both economic activity and fiscal policy, including the granting of tax incentives. The empirical results reported in the associated article indicate that ICMS shocks generate short-term effects on the exchange rate and imports but produce limited or statistically insignificant impacts on economic activity, employment, inflation, and state tax revenue over time. These findings challenge traditional Keynesian expectations of broad-based stimulus effects and are more consistent with neoclassical and public-choice interpretations of tax incentives as potentially inefficient and weakly connected to employment generation.
All series were seasonally adjusted, deflated when appropriate, and transformed into logarithmic or percentage variations to ensure stationarity and suitability for time-series econometric analysis. The repository includes the original dataset used in the estimations, as well as a PDF log documenting the Stata commands and outputs employed to estimate the VAR model. Together, these materials allow users to understand how the data were gathered, processed, and analyzed, and to replicate or extend the empirical analysis in future research on fiscal policy, tax competition, and regional economic development.
DOI: 10.17632/pctdb2wfym
title: Trends in Program Signaling and Interview Invitations for Dermatology Residency Applications: A Cross-Sectional Analysis from 2024-2026 of the ERAS Specialty Dashboard

description: Supplemental Materials
DOI: 10.17632/pctdb2wfym.2
title: Trends in Program Signaling and Interview Invitations for Dermatology Residency Applications: A Cross-Sectional Analysis from 2024-2026 of the ERAS Specialty Dashboard

description: Supplemental Materials
DOI: 10.17632/489spnkhp5
title: Colour-Mix Augmentation Dataset for Rice Sheath Blight Severity Estimation

description: This dataset is based on the hypothesis that accurate plant disease severity estimation under real field conditions requires high-quality, field-collected images that capture natural variability in lesion color, texture, illumination, and background context, as severity discrimination in rice sheath blight is driven more by subtle chromatic and spatial cues than by structural deformation. The dataset comprises original images of rice plants affected by sheath blight, collected directly from agricultural fields under natural lighting and environmental conditions, without any synthetic augmentation or post-processing. Images were acquired across multiple observation periods and include inherent variations in soil background, water presence, plant orientation, and growth stage. Each image is annotated into one of six disease severity levels, representing progressive stages of infection, based on visual assessment of lesion extent, lesion height progression along the sheath, and symptom color intensity following standard plant pathology practices. The data reveals fine-grained transitions between severity classes, where differences are primarily reflected in lesion density, chromatic intensity, and spatial spread rather than major anatomical changes. As such, the dataset provides a realistic benchmark for developing and evaluating disease severity estimation models that must operate under uncontrolled field conditions. It can be readily reused for training and benchmarking machine learning and deep learning models, studying color- and texture-driven disease progression, and supporting field-deployable decision-support systems for crop health monitoring.
DOI: 10.17632/489spnkhp5.1
title: Colour-Mix Augmentation Dataset for Rice Sheath Blight Severity Estimation

description: This dataset is based on the hypothesis that accurate plant disease severity estimation under real field conditions requires high-quality, field-collected images that capture natural variability in lesion color, texture, illumination, and background context, as severity discrimination in rice sheath blight is driven more by subtle chromatic and spatial cues than by structural deformation. The dataset comprises original images of rice plants affected by sheath blight, collected directly from agricultural fields under natural lighting and environmental conditions, without any synthetic augmentation or post-processing. Images were acquired across multiple observation periods and include inherent variations in soil background, water presence, plant orientation, and growth stage. Each image is annotated into one of six disease severity levels, representing progressive stages of infection, based on visual assessment of lesion extent, lesion height progression along the sheath, and symptom color intensity following standard plant pathology practices. The data reveals fine-grained transitions between severity classes, where differences are primarily reflected in lesion density, chromatic intensity, and spatial spread rather than major anatomical changes. As such, the dataset provides a realistic benchmark for developing and evaluating disease severity estimation models that must operate under uncontrolled field conditions. It can be readily reused for training and benchmarking machine learning and deep learning models, studying color- and texture-driven disease progression, and supporting field-deployable decision-support systems for crop health monitoring.
DOI: 10.17632/2dr8mmwss2
title: (LcsT)data

description: Our data is sourced from clinical data of azoospermia patients with Klinefelter syndrome, which demonstrates the occurrence of testicular Leydig cell tumors, Leydig cell proliferation, and the probability of focal spermatogenesis in Klinefelter syndrome azoospermia patients. These clinical indicators have a predictive effect on the occurrence of testicular Leydig cell tumors.
DOI: 10.17632/2dr8mmwss2.1
title: (LcsT)data

description: Our data is sourced from clinical data of azoospermia patients with Klinefelter syndrome, which demonstrates the occurrence of testicular Leydig cell tumors, Leydig cell proliferation, and the probability of focal spermatogenesis in Klinefelter syndrome azoospermia patients. These clinical indicators have a predictive effect on the occurrence of testicular Leydig cell tumors.
DOI: 10.17632/zftr8tp2n6
title: Distrust and Disclosure: Greenwashing Governance and the Neglected Incentive Withdrawal Signals of Environmental Subsidies

description: This replication package reproduces all empirical results and figures in Yue et al. (2025), “Distrust and Disclosure: Greenwashing Governance and the Neglected Incentive Withdrawal Signals of Environmental Subsidies,” *Economic Modelling.*
DOI: 10.17632/zftr8tp2n6.1
title: Distrust and Disclosure: Greenwashing Governance and the Neglected Incentive Withdrawal Signals of Environmental Subsidies

description: This replication package reproduces all empirical results and figures in Yue et al. (2025), “Distrust and Disclosure: Greenwashing Governance and the Neglected Incentive Withdrawal Signals of Environmental Subsidies,” *Economic Modelling.*
DOI: 10.17632/c95458kd7y
title: Ce single-atom synergizes icosahedral Pt2Ce nanoparticles to promote performance enhancement for zinc-air battery

description: Data for this article, including the original data from AC-STEM tests，SEM tests, TEM tests, XPS tests, XRD tests, XANES and EXAFS tests, electrochemical tests, ZABs tests，as well as DFT theoretical calculations
DOI: 10.17632/c95458kd7y.1
title: Ce single-atom synergizes icosahedral Pt2Ce nanoparticles to promote performance enhancement for zinc-air battery

description: Data for this article, including the original data from AC-STEM tests，SEM tests, TEM tests, XPS tests, XRD tests, XANES and EXAFS tests, electrochemical tests, ZABs tests，as well as DFT theoretical calculations
DOI: 10.15468/dl.m3u44f
title: Occurrence Download

description: A dataset containing 2473 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium tsingtauense"
 ]
}

 The dataset includes 2473 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068477-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvwbkj
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.19649 41.22494,13.72972 41.23206,13.72423 41.51365,13.1887 41.50646,13.19649 41.22494))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tachybaptus ruficollis",
 "Year 1900-2025"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068476-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18085786
title: Data file - Timing of grazing and vegetation type modulate the effect of traditional pastoral land use on  arthropod communities

description: This file contains all data and R code supporting the analyses for the manuscript entitled “Timing of grazing and vegetation type modulate the effect of traditional pastoral land use on arthropod communities” by Šeat et al.
DOI: 10.5281/zenodo.18085787
title: Data file - Timing of grazing and vegetation type modulate the effect of traditional pastoral land use on  arthropod communities

description: This file contains all data and R code supporting the analyses for the manuscript entitled “Timing of grazing and vegetation type modulate the effect of traditional pastoral land use on arthropod communities” by Šeat et al.
DOI: 10.17632/sv6rdry3bp
title: Synergizing for Safety: A Quintuple Helix Framework for Enhanced Disaster Resilience through Knowledge and Collaboration

description: This dataset is derived from a qualitative research study examining multi-stakeholder knowledge exchange and collaboration in disaster risk reduction in Penang, Malaysia. Data were collected through two purposively sampled focus group discussions (FGDs) conducted between August and September 2023, involving government agencies, non-governmental organisations (NGOs), academia, corporate sector representatives, and community-related institutions. Each FGD followed a semi-structured protocol lasting approximately 2.5 hours and was audio-recorded with informed consent. Transcripts were anonymised and analysed using a grounded theory–informed thematic analysis approach supported by ATLAS.ti software. Coding was conducted iteratively through open and axial coding to identify key themes related to coordination, knowledge management, preparedness, vulnerability, and communication systems within a Quintuple Helix framework. Ethical approval was obtained, and data access is restricted to protect participant confidentiality.
DOI: 10.17632/sv6rdry3bp.1
title: Synergizing for Safety: A Quintuple Helix Framework for Enhanced Disaster Resilience through Knowledge and Collaboration

description: This dataset is derived from a qualitative research study examining multi-stakeholder knowledge exchange and collaboration in disaster risk reduction in Penang, Malaysia. Data were collected through two purposively sampled focus group discussions (FGDs) conducted between August and September 2023, involving government agencies, non-governmental organisations (NGOs), academia, corporate sector representatives, and community-related institutions. Each FGD followed a semi-structured protocol lasting approximately 2.5 hours and was audio-recorded with informed consent. Transcripts were anonymised and analysed using a grounded theory–informed thematic analysis approach supported by ATLAS.ti software. Coding was conducted iteratively through open and axial coding to identify key themes related to coordination, knowledge management, preparedness, vulnerability, and communication systems within a Quintuple Helix framework. Ethical approval was obtained, and data access is restricted to protect participant confidentiality.
DOI: 10.5281/zenodo.18085853
title: TABLE 2 in A new species of Tulostoma genus from Siberia

description: TABLE 2. Micromorphological comparison among Tulostoma morenoi and related species.
SpeciesSpore size (μm), without ornamentationSpore ornamentationWarts/SpinesNumber of warts or spines on visible side of sporeAnastomoses, ribs (in SEM)T. morenoi5.6–9.2verrucoselarge warts, irregularly shaped, without pyramidal spines, with small warts between large warts6–7ridge-like anastomoses at the base of the warts may be presentT. lysocephalum5.6–6.6large verrucoselarge warts in the form of pyramidal spines5–6slightly anastomoses at the base of the spines, and ribs at the base of spore may be presentT. kotlabae4–4.5large verrucoselarge warts in the form of pyramidal spines4–5anastomoses at the base of the spines and ribs absentT. melanocyclum4.6–6verrucose-echinatelarge spines in groups with connected tips4–5 groupsspines coalesce to pyramidal groups and ribsT. calcareum4.0–6.0verrucose-echinatelarge spines in groups with connected tips4–5 groupsspines coalesce to pyramidal groups and ribs
description: Published as part of Vlasenko, Vyacheslav A. & Vlasenko, Anastasia V., 2023, A new species of Tulostoma genus from Siberia, pp. 32 in Phytotaxa 600 (1) on page 32, DOI: 10.11646/phytotaxa.600.1.4, http://zenodo.org/record/8054168
DOI: 10.5281/zenodo.18085852
title: TABLE 2 in A new species of Tulostoma genus from Siberia

description: TABLE 2. Micromorphological comparison among Tulostoma morenoi and related species.
SpeciesSpore size (μm), without ornamentationSpore ornamentationWarts/SpinesNumber of warts or spines on visible side of sporeAnastomoses, ribs (in SEM)T. morenoi5.6–9.2verrucoselarge warts, irregularly shaped, without pyramidal spines, with small warts between large warts6–7ridge-like anastomoses at the base of the warts may be presentT. lysocephalum5.6–6.6large verrucoselarge warts in the form of pyramidal spines5–6slightly anastomoses at the base of the spines, and ribs at the base of spore may be presentT. kotlabae4–4.5large verrucoselarge warts in the form of pyramidal spines4–5anastomoses at the base of the spines and ribs absentT. melanocyclum4.6–6verrucose-echinatelarge spines in groups with connected tips4–5 groupsspines coalesce to pyramidal groups and ribsT. calcareum4.0–6.0verrucose-echinatelarge spines in groups with connected tips4–5 groupsspines coalesce to pyramidal groups and ribs
description: Published as part of Vlasenko, Vyacheslav A. & Vlasenko, Anastasia V., 2023, A new species of Tulostoma genus from Siberia, pp. 32 in Phytotaxa 600 (1) on page 32, DOI: 10.11646/phytotaxa.600.1.4, http://zenodo.org/record/8054168
DOI: 10.6084/m9.figshare.30960107
title: Supplementary Data S2 (Part 1): Molecular docking ligand files and molecular dynamics trajectories of iNOS-APO and iNOS-ARG

description: Manuscript ID: pharmaceuticals-4013697Type of manuscript: ArticleTitle: Decoding iNOS Inhibition: A Computational Voyage of Tavaborole Toward Restoring Endothelial Homeostasis in Venous Leg UlcersThis dataset contains molecular docking ligand files and molecular dynamics simulation trajectories for iNOS-APO and iNOS-ARG systems, provided as Supplementary Data S2 (Part 1).<br>
DOI: 10.6084/m9.figshare.30960107.v1
title: Supplementary Data S2 (Part 1): Molecular docking ligand files and molecular dynamics trajectories of iNOS-APO and iNOS-ARG

description: Manuscript ID: pharmaceuticals-4013697Type of manuscript: ArticleTitle: Decoding iNOS Inhibition: A Computational Voyage of Tavaborole Toward Restoring Endothelial Homeostasis in Venous Leg UlcersThis dataset contains molecular docking ligand files and molecular dynamics simulation trajectories for iNOS-APO and iNOS-ARG systems, provided as Supplementary Data S2 (Part 1).<br>