cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6hsxwtdpks.1
title: Unraveling the N-Co coordination mechanism in chitosan-cobalt complexes: Structural elucidation and in vivo cobalt supplementation effect

description: The computational chemistry section employed quantum chemical tools (density functional theory DFT) to investigate the coordination mechanism between chitosan (CS) and Co(II). The core research hypothesis is that Co(II) tends to accept electrons from the -NH₂ groups of CS rather than the -OH groups to form CS-Co(II) complexes. The data analysis focused on four key aspects: confirmation of coordination sites, screening of coordination modes, electron transfer mechanism, and intrinsic nature of chemical bonding. Chitobiose was used as a simplified model of CS. Three chitobiose configurations were optimized via DFT calculations at the B3LYP/6-311G(d,p) basis set level (with the LanL2DZ basis set for Co(II)), followed by comparisons of their energies, frontier molecular orbital (FMO) parameters. The coordination sites were confirmed by combining electrostatic potential (ESP) and average local ionization energy (ALIE) analyses. The interaction energy, enthalpy change, and Gibbs free energy of four coordination models (pendant, bridge 1, bridge 2, and central) were calculated to screen the most thermodynamically favorable mode. The direction of electron transfer was elucidated using FMO analysis (by examining the electron cloud distribution of HOMO/LUMO) and charge decomposition analysis (CDA). The intrinsic nature of the chemical bond was revealed through ESP (to localize regions of positive electrostatic potential), interaction region indicator (IRI, to distinguish coordination bonds from van der Waals interactions), electron localization function (ELF, to evaluate electron delocalization), and atoms in molecules (AIM, to calculate topological parameters of bond critical points). Notably, ALIE and ESP analyses confirmed that the -NH₂ groups of CS are the preferred coordination sites for Co(II). The central model exhibited the lowest energy. FMO and CDA results demonstrated that CS acts as an electron donor while Co(II) serves as an electron acceptor, with electrons transferring from the -NH₂ groups of CS to Co(II). The N-Co(II) bond is predominantly ionic with a weak covalent character.
DOI: 10.17632/mw3btc924p
title: Code for Deep Learning Model Predicting Bioactivity from LC-MS Metabolomic Data of Fermented Milk

description: This repository contains the complete Python codebase used in the manuscript titled "Predicting Functional Bioactivities in Fermented Milk Using Deep Learning on LC-MS Metabolomics". The code implements a deep learning model (1D-CNN) to predict nine bioactivity outcomes from LC-MS QTOF metabolomic profiles of fermented camel and bovine milk samples.
DOI: 10.17632/mw3btc924p.1
title: Code for Deep Learning Model Predicting Bioactivity from LC-MS Metabolomic Data of Fermented Milk

description: This repository contains the complete Python codebase used in the manuscript titled "Predicting Functional Bioactivities in Fermented Milk Using Deep Learning on LC-MS Metabolomics". The code implements a deep learning model (1D-CNN) to predict nine bioactivity outcomes from LC-MS QTOF metabolomic profiles of fermented camel and bovine milk samples.
DOI: 10.15468/dl.aejtqb
title: Occurrence Download

description: A dataset containing 1780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorex alpinus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1780 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037368-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptgdyd
title: Occurrence Download

description: A dataset containing 27476 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Zea mays",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2000"
 ]
}

 The dataset includes 27476 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037369-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8bhy999ssy
title: Nogor Bahon AI Dataset (NBD)

description: This dataset was created using vehicle pictures gathered in Chattogram, Bangladesh. It includes 28 unique categories of vehicles regularly observed in the city. Data was collected in a variety of contexts to replicate the city's actual traffic circumstances. To improve generalization, vehicles were photographed in a variety of lighting conditions, angles, and backgrounds. It can be used to train, validate, and test machine learning algorithms. This material is very valuable for computer vision research purposes. Vehicle detection, classification, recognition, and traffic monitoring are all potential domains. It may also fund future projects centered on intelligent transportation systems. The dataset attempts to develop automated traffic management technologies. The dataset's comprehensiveness is ensured by its inclusion of several categories.
DOI: 10.17632/8bhy999ssy.3
title: Nogor Bahon AI Dataset (NBD)

description: This dataset was created using vehicle pictures gathered in Chattogram, Bangladesh. It includes 28 unique categories of vehicles regularly observed in the city. Data was collected in a variety of contexts to replicate the city's actual traffic circumstances. To improve generalization, vehicles were photographed in a variety of lighting conditions, angles, and backgrounds. It can be used to train, validate, and test machine learning algorithms. This material is very valuable for computer vision research purposes. Vehicle detection, classification, recognition, and traffic monitoring are all potential domains. It may also fund future projects centered on intelligent transportation systems. The dataset attempts to develop automated traffic management technologies. The dataset's comprehensiveness is ensured by its inclusion of several categories.
DOI: 10.15468/dl.ngv23c
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Cacatua haematuropygia"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037370-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kwv24mdvth
title: Restaurant Reviews Dataset (RRD)

description: The Restaurant Reviews Dataset (RRD) is a theory-guided, manually annotated dataset of Google Maps restaurant reviews labeled as real or deceptive using rule-based cues derived from multiple psychological deception theories. It contains authentic, non-simulated reviews enriched with linguistic, behavioral, and metadata features such as sentiment, generality, punctuation ratios, reviewer activity, and engagement signals. Data augmentation techniques were applied to address class imbalance and ensure a balanced distribution of review categories.
DOI: 10.17632/kwv24mdvth.1
title: Restaurant Reviews Dataset (RRD)

description: The Restaurant Reviews Dataset (RRD) is a theory-guided, manually annotated dataset of Google Maps restaurant reviews labeled as real or deceptive using rule-based cues derived from multiple psychological deception theories. It contains authentic, non-simulated reviews enriched with linguistic, behavioral, and metadata features such as sentiment, generality, punctuation ratios, reviewer activity, and engagement signals. Data augmentation techniques were applied to address class imbalance and ensure a balanced distribution of review categories.
DOI: 10.17632/jrzs2zwd76
title: Enzyme Kinetics Reveal Biochar-Driven Improvements in Soil Multifunctionality in Arid Soils: Insights from Pot Experiments and Meta-Analysis (Meta-analysis Research Data)

description: The search focused on pot experiments examining biochar’s impact on the chemical and biological properties of grey desert and aeolian sandy soils.
DOI: 10.17632/jrzs2zwd76.2
title: Enzyme Kinetics Reveal Biochar-Driven Improvements in Soil Multifunctionality in Arid Soils: Insights from Pot Experiments and Meta-Analysis (Meta-analysis Research Data)

description: The search focused on pot experiments examining biochar’s impact on the chemical and biological properties of grey desert and aeolian sandy soils.
DOI: 10.17632/76jv9csn73
title: Logística e cadeia de suprimentos

description: Este material reúne trabalhos desenvolvidos pelos discentes da Graduação em Administração da UTFPR - Campus Curitiba, no âmbito da disciplina de Logística e Cadeia de Suprimentos. Os projetos aqui apresentados refletem a aplicação prática dos conceitos teóricos estudados, abordando temas como gestão de estoques, planejamento de demanda, redes de distribuição, sustentabilidade na cadeia de suprimentos e otimização de processos logísticos.
DOI: 10.17632/76jv9csn73.1
title: Logística e cadeia de suprimentos

description: Este material reúne trabalhos desenvolvidos pelos discentes da Graduação em Administração da UTFPR - Campus Curitiba, no âmbito da disciplina de Logística e Cadeia de Suprimentos. Os projetos aqui apresentados refletem a aplicação prática dos conceitos teóricos estudados, abordando temas como gestão de estoques, planejamento de demanda, redes de distribuição, sustentabilidade na cadeia de suprimentos e otimização de processos logísticos.
DOI: 10.15468/dl.3688ea
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemidactylus tenkatei"
 ]
}

 The dataset includes 183 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037371-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9g7vfnczmh
title: Calcium amendments promote yield on reclaimed land via synergistic microbial life-history shifts and soil quality enhancement

description: Calcium-based ameliorants are widely applied in saline-alkaline farmland to restore soil quality and enhance crop productivity. While it is understood that microbes regulate soil function, precisely how microbial functional traits mediate the improvements in soil quality and crop yield induced by calcium-based amendments remains to be empirically validated. Herein, a controlled experiment comprising two treatments: control (CK) and calcium lactate addition (CL), was conducted in field plots across five geographical regions. The results demonstrated that CL improves soil quality (An index of 29 soil properties) by 28.21%. At the time of harvest, CL plots had 42% greater crop yield than control CK plots. Calcium addition drove changes in soil structure and nutrient availability, increased the proportion of small macroaggregates and improve soil porosity, while also drawing down available soil phosphorus (P). Calcium lactate addition significantly alleviated microbial carbon limitation, as quantified via enzymatic stoichiometry. Furthermore, CL shifted bacterial communities from r- to k-strategists and promoted a transition in fungal communities from symbiotic to saprotrophic types, reflecting complex responses in microbial functional traits. Structural equation modeling revealed that calcium lactate amendment influenced soil quality by altering microbial metabolic characteristics and life-history strategies, which ultimately enhanced crop yield. This study provides critical insights into the functional responses of microorganisms under amelioration practices and the mechanisms supporting sustainable yield increase in the context of global change.
DOI: 10.17632/9g7vfnczmh.1
title: Calcium amendments promote yield on reclaimed land via synergistic microbial life-history shifts and soil quality enhancement

description: Calcium-based ameliorants are widely applied in saline-alkaline farmland to restore soil quality and enhance crop productivity. While it is understood that microbes regulate soil function, precisely how microbial functional traits mediate the improvements in soil quality and crop yield induced by calcium-based amendments remains to be empirically validated. Herein, a controlled experiment comprising two treatments: control (CK) and calcium lactate addition (CL), was conducted in field plots across five geographical regions. The results demonstrated that CL improves soil quality (An index of 29 soil properties) by 28.21%. At the time of harvest, CL plots had 42% greater crop yield than control CK plots. Calcium addition drove changes in soil structure and nutrient availability, increased the proportion of small macroaggregates and improve soil porosity, while also drawing down available soil phosphorus (P). Calcium lactate addition significantly alleviated microbial carbon limitation, as quantified via enzymatic stoichiometry. Furthermore, CL shifted bacterial communities from r- to k-strategists and promoted a transition in fungal communities from symbiotic to saprotrophic types, reflecting complex responses in microbial functional traits. Structural equation modeling revealed that calcium lactate amendment influenced soil quality by altering microbial metabolic characteristics and life-history strategies, which ultimately enhanced crop yield. This study provides critical insights into the functional responses of microorganisms under amelioration practices and the mechanisms supporting sustainable yield increase in the context of global change.
DOI: 10.17632/wwcyp9rx96
title: SARMs Stability Refernce

description: This dataset provides a comparative overview of short-term stability estimates for six commonly studied selective androgen receptor modulators (SARMs) stored under refrigerated conditions (4 °C) for a duration of 30 days in ethanol as solvent. The dataset includes estimated percentage degradation values derived from literature-reported stability trends and predictive degradation modelling.

Compounds included in this dataset are Ostarine (MK-2866), Ligandrol (LGD-4033), Testolone (RAD-140), Andarine (S-4), YK-11, and Cardarine (GW-501516). For each compound, the dataset reports storage temperature, solvent, exposure duration, estimated degradation percentage, and qualitative stability notes.

This resource is intended for use in:

Stability modelling

Comparative degradation analysis

Storage condition optimisation research

Cheminformatics and pharmacokinetic simulations

All values are provided for research, educational, and modelling purposes only and do not represent certified analytical measurements.

File Format:
CSV (comma-separated values)

License:
CC BY 4.0
DOI: 10.17632/wwcyp9rx96.1
title: SARMs Stability Refernce

description: This dataset provides a comparative overview of short-term stability estimates for six commonly studied selective androgen receptor modulators (SARMs) stored under refrigerated conditions (4 °C) for a duration of 30 days in ethanol as solvent. The dataset includes estimated percentage degradation values derived from literature-reported stability trends and predictive degradation modelling.

Compounds included in this dataset are Ostarine (MK-2866), Ligandrol (LGD-4033), Testolone (RAD-140), Andarine (S-4), YK-11, and Cardarine (GW-501516). For each compound, the dataset reports storage temperature, solvent, exposure duration, estimated degradation percentage, and qualitative stability notes.

This resource is intended for use in:

Stability modelling

Comparative degradation analysis

Storage condition optimisation research

Cheminformatics and pharmacokinetic simulations

All values are provided for research, educational, and modelling purposes only and do not represent certified analytical measurements.

File Format:
CSV (comma-separated values)

License:
CC BY 4.0
DOI: 10.17632/phk8yrfrc4
title: STEM Student Course Perception(SSCP) Dataset

description: Investigating STEM Students' Resistance to Non-STEM curricula.
DOI: 10.17632/phk8yrfrc4.4
title: STEM Student Course Perception(SSCP) Dataset

description: Investigating STEM Students' Resistance to Non-STEM curricula.
DOI: 10.18150/f4y2cd
title: Data for: Scaling up purcell-enhanced self-assembled nanoplasmonic perovskite scintillators into the bulk regime

description: Raw data from the following manuscript. The attached ZIP contains data of PL and XL characterization as well as X-ray imaging characterization of CsPbBr3 nanocrystals suspended in a polymer matrix with plasmonic nanoparticles - silver nanocubes (Ag CNPs) and silver nanospheres (Ag SNPs). Data shows that with a bulk composite, one can obtain Purcell enhancement in both luminescence and decay rate under optical and ionizing radiation. It was the first practical approach to Purcell enhancement of scintillation process in a bulk type of material.
DOI: 10.15468/dl.6dfsa2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.24 -1.046818, 102.169725 -1.052384, 102.10118 -1.068945, 102.036051 -1.096094, 101.975942 -1.133162, 101.922332 -1.179237, 101.876542 -1.233185, 101.839697 -1.293679, 101.812707 -1.359227, 101.796235 -1.428219, 101.79069 -1.498954, 101.796207 -1.569691, 101.812653 -1.638688, 101.839623 -1.704247, 101.876454 -1.764753, 101.92224 -1.818715, 101.975855 -1.864805, 102.035977 -1.901886, 102.101126 -1.929045, 102.169697 -1.945612, 102.24 -1.951181, 102.310303 -1.945612, 102.378874 -1.929045, 102.444023 -1.901886, 102.504145 -1.864805, 102.55776 -1.818715, 102.603546 -1.764753, 102.640377 -1.704247, 102.667347 -1.638688, 102.683793 -1.569691, 102.68931 -1.498954, 102.683765 -1.428219, 102.667293 -1.359227, 102.640303 -1.293679, 102.603458 -1.233185, 102.557668 -1.179237, 102.504058 -1.133162, 102.443949 -1.096094, 102.37882 -1.068945, 102.310275 -1.052384, 102.24 -1.046818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037372-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.15116303
title: Data and code for Huth et al. (2025): Constraints on evaporation and associated kinetic isotope fractionation from Lake Michigan, USA using dual hydrogen and triple oxygen isotopes

description: Data and code for Huth et al. (2025): Constraints on evaporation and associated kinetic isotope fractionation from Lake Michigan, USA using dual hydrogen and triple oxygen isotopes
DOI: 10.5281/zenodo.15116304
title: Data and code for Huth et al. (2025): Constraints on evaporation and associated kinetic isotope fractionation from Lake Michigan, USA using dual hydrogen and triple oxygen isotopes

description: Data and code for Huth et al. (2025): Constraints on evaporation and associated kinetic isotope fractionation from Lake Michigan, USA using dual hydrogen and triple oxygen isotopes
DOI: 10.17632/4v5hkx8xpb
title: β-Lactoglobulin interacting with Phlorizin alters its GI digestive peptide profile and synergistically enhances intestinal accessibility and MUC2 secretion on LS174T cells LC-MS/MS raw data

description: LC-MS/MS raw data, YMX-1 refers to a solution of bovine β-lactoglobulin hydrolyzed by gastrointestinal enzymes for 1 hour; YMX-2 denotes the solution obtained by gastrointestinal enzyme hydrolysis of β-lg heated at 100°C for 5 minutes for 1 hour; YMX-3 denotes the solution obtained by gastrointestinal enzyme hydrolysis of β-lg + geniposide for 1 hour; YMX-4 denotes the solution obtained by gastrointestinal enzyme hydrolysis of β-lg + geniposide heated at 100°C for 5 minutes for 1 hour.
DOI: 10.17632/4v5hkx8xpb.1
title: β-Lactoglobulin interacting with Phlorizin alters its GI digestive peptide profile and synergistically enhances intestinal accessibility and MUC2 secretion on LS174T cells LC-MS/MS raw data

description: LC-MS/MS raw data, YMX-1 refers to a solution of bovine β-lactoglobulin hydrolyzed by gastrointestinal enzymes for 1 hour; YMX-2 denotes the solution obtained by gastrointestinal enzyme hydrolysis of β-lg heated at 100°C for 5 minutes for 1 hour; YMX-3 denotes the solution obtained by gastrointestinal enzyme hydrolysis of β-lg + geniposide for 1 hour; YMX-4 denotes the solution obtained by gastrointestinal enzyme hydrolysis of β-lg + geniposide heated at 100°C for 5 minutes for 1 hour.
DOI: 10.17632/8gj69mr65n
title: Estonia FMVM Equity Risk Premium Decomposition Dataset (2015–2024)

description: This dataset provides quarterly estimates of Estonia’s equity risk premium (ERP) and its structural components over the period 2015–2024, constructed using a multi-premium framework based on the Frontier Market Valuation Model (FMVM). The dataset decomposes the ERP into four additive layers—sovereign risk (CRP), liquidity risk (LP), behavioral risk (BP), and institutional-quality risk (IQP)—to identify the distinct channels that influence required returns in a small, open Euro-area market.

The dataset includes three components:
(1) Quarterly FMVM series for Estonia (2015Q1–2024Q4), containing Rf, GERP, CRP, LP, BP, IQP, and the final cost of equity.
(2) Structural-period classification, assigning each quarter to one of four Baltic macro-financial regimes (post-crisis stabilization, AML reforms, COVID-19 shock, energy-security shock).
(3) Baltic comparison panel (Estonia, Latvia, Lithuania), enabling cross-country benchmarking of sovereign, liquidity, behavioral, and institutional premia.

Liquidity and behavioral premia are constructed from monthly microstructure and volatility–sentiment factors aggregated to quarterly frequency. Institutional-quality premia are derived from WGI and CPI governance indicators. Sovereign risk premia follow Damodaran’s rating- and spread-based methodology. All variables are standardized for comparability across time and countries.

This dataset supports empirical analysis of the cost of equity in thin but institutionally strong markets and is designed for transparency and replicability. It accompanies the paper “Estonia’s Equity Risk Premium in a Baltic Comparative Perspective: A Decomposition of Sovereign, Liquidity, Behavioral, and Institutional Premia.”

Researchers may use the dataset for equity valuation, risk decomposition, comparative capital-market analysis, or policy assessment related to liquidity and institutional reform.