cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18618648
title: MuLAR: Spatial Modeling with Integrated Cultural Dimensions

description: This dataset supports the spatial modeling of the contemporary spoken Latgalian language corpus MuLaR. It includes the coordinates of geolocations identified in the corpus and disambiguated through close reading. Additional variables provide information on toponym variations, their frequency of use, references to the same geolocations on other platforms (Instagram), as well as their presence in a curated experimental transmedial corpus of Latgalian texts.An interactive digital model created on the basis of the dataset: https://snowwhirls.github.io/Latgale/ 

 

The dataset was created within the framework of Research and Development Grant No. RTU-PA-2024/1-0063, as part of Project No. 5.2.1.1.i.0/2/24/I/CFLA/003, funded by the EU Recovery and Resilience Facility, titled “Implementation of Consolidation and Governance Changes at Riga Technical University, University of Liepāja, Rezekne Academy of Technologies, Latvian Maritime Academy, and Liepāja Maritime College on the Path Toward Excellence in Higher Education, Science, and Innovation.”
DOI: 10.6084/m9.figshare.31323639
title: Enhanced moisture removal and loosening of coal slime via steam flash drying

description: Coal slime, a by-product of coal preparation, exhibits high moisture content and viscosity, which hinder its efficient utilization. This study proposes a steam flash drying method comprising four stages: steam heating, pressure holding, transient drying, and mild evaporation. The effects of steam pressure, particle size, and holding time on the loosening behavior and transient drying performance of coal slime were examined, and the evolution of residual moisture during the mild evaporation stage was analyzed. Results show that increasing steam pressure enhances moisture removal during the transient stage and promotes the loosening and fragmentation of the material structure. Larger particle sizes facilitate rupture and expansion of internal pores, while extending the holding time to 5 min promotes internal cracking and accelerates drying. During the transient stage, macropore and mesopore water are primarily removed, and the crushing ratio exhibits a coupled relationship with the moisture removal ratio. In the mild evaporation stage, an additional 2.5–5.0% of residual moisture is eliminated. With waste heat recovery, the effective moisture diffusion coefficient exceeds that of conventional hot-air drying. The specific energy consumption of steam flash drying (2.67 kJ/g H<sub>2</sub>O) is lower than hot-air drying, offering a new pathway for efficient drying of high-moisture, viscous materials.
DOI: 10.6084/m9.figshare.31323639.v1
title: Enhanced moisture removal and loosening of coal slime via steam flash drying

description: Coal slime, a by-product of coal preparation, exhibits high moisture content and viscosity, which hinder its efficient utilization. This study proposes a steam flash drying method comprising four stages: steam heating, pressure holding, transient drying, and mild evaporation. The effects of steam pressure, particle size, and holding time on the loosening behavior and transient drying performance of coal slime were examined, and the evolution of residual moisture during the mild evaporation stage was analyzed. Results show that increasing steam pressure enhances moisture removal during the transient stage and promotes the loosening and fragmentation of the material structure. Larger particle sizes facilitate rupture and expansion of internal pores, while extending the holding time to 5 min promotes internal cracking and accelerates drying. During the transient stage, macropore and mesopore water are primarily removed, and the crushing ratio exhibits a coupled relationship with the moisture removal ratio. In the mild evaporation stage, an additional 2.5–5.0% of residual moisture is eliminated. With waste heat recovery, the effective moisture diffusion coefficient exceeds that of conventional hot-air drying. The specific energy consumption of steam flash drying (2.67 kJ/g H<sub>2</sub>O) is lower than hot-air drying, offering a new pathway for efficient drying of high-moisture, viscous materials.
DOI: 10.2908/trng_cvt_01n1
title: Enterprises providing training by type of training and NACE Rev. 1.1 activity - % of all enterprises (2005)
title: Weiterbildende Unternehmen nach Art der Weiterbildung und NACE Rev. 1.1 Tätigkeit - % aller Unternehmen (2005)
title: Entreprises formatrices par type d'apprentissage et activité de la NACE Rév. 1.1 - % de toutes les entreprises (2005)
DOI: 10.2908/trng_cvt_02n1
title: Nicht weiterbildende Unternehmen nach Grund der Nichtbereitstellung und NACE Rev. 1.1 Tätigkeit - % aller nicht weiterbildenden Unternehmen (2005)
title: Entreprises non-formatrices par raison d'absence de formations et activité de la NACE Rév. 1.1 - % de toutes les entreprises non-formatrices (2005)
title: Enterprises not providing training by reason for non-provision and NACE Rev. 1.1 activity - % of non-training enterprises (2005)
DOI: 10.2908/trng_cvt_03n1
title: Enterprises providing training by factor limiting provision and NACE Rev. 1.1 activity - % of training enterprises (2005)
title: Weiterbildende Unternehmen nach einschränkendem Faktor und NACE Rev. 1.1 Tätigkeit - % aller weiterbildenden Unternehmen (2005)
title: Entreprises formatrices par facteur limitant la prestation de formations et activité de la NACE Rév. 1.1 - % de toutes les entreprises formatrices (2005)
DOI: 10.15468/dl.sh9wbt
title: Occurrence Download

description: A dataset containing 470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pachystroma longifolium",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 470 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010987-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.paawq6
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corumbataia tocantinensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010988-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ywzfg
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wurmbea spicata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 41 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010989-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31323511
title: Replication Code for The Impact of the Digital Economy on Industrial GTFP in the YEB: A Nexus of Agglomeration, Innovation, and Spatial Spillovers

description: Manuscript Title: The Impact of the Digital Economy on Industrial GTFP in the YEB: A Nexus of Agglomeration, Innovation, and Spatial SpilloversDescription: This folder contains the complete datasets, code, and weight matrices required to replicate the empirical results of the study. The files are organized into three logical components:GTFP Calculation (MATLAB):mainfx0.m, SBM_DDF.m, SBM_DDF_GML.m: MATLAB scripts to calculate the SBM-DDF model and GML index.GTFP_calculate2.xlsx: Raw input data for the efficiency calculation.Digital Economy Index (Stata):DigitalEconomyCalculation.do: Stata code for entropy weight calculation.DataDigitalEconomyCalculation.xlsx: Raw indicator data.Main Econometric Analysis (Stata):Stata code.do: Master script that reproduces all descriptive statistics, baseline regressions, threshold effects, mechanism analysis, and spatial econometric models (SDM/SAR/SEM).Data for Stata.xlsx: The final cleaned dataset used for regression.Wmat.dta & Economic Geographical Weight Matrix...xlsx: Spatial weight matrices.
DOI: 10.6084/m9.figshare.31323511.v1
title: Replication Code for The Impact of the Digital Economy on Industrial GTFP in the YEB: A Nexus of Agglomeration, Innovation, and Spatial Spillovers

description: Manuscript Title: The Impact of the Digital Economy on Industrial GTFP in the YEB: A Nexus of Agglomeration, Innovation, and Spatial SpilloversDescription: This folder contains the complete datasets, code, and weight matrices required to replicate the empirical results of the study. The files are organized into three logical components:GTFP Calculation (MATLAB):mainfx0.m, SBM_DDF.m, SBM_DDF_GML.m: MATLAB scripts to calculate the SBM-DDF model and GML index.GTFP_calculate2.xlsx: Raw input data for the efficiency calculation.Digital Economy Index (Stata):DigitalEconomyCalculation.do: Stata code for entropy weight calculation.DataDigitalEconomyCalculation.xlsx: Raw indicator data.Main Econometric Analysis (Stata):Stata code.do: Master script that reproduces all descriptive statistics, baseline regressions, threshold effects, mechanism analysis, and spatial econometric models (SDM/SAR/SEM).Data for Stata.xlsx: The final cleaned dataset used for regression.Wmat.dta & Economic Geographical Weight Matrix...xlsx: Spatial weight matrices.
DOI: 10.17632/n8t79w8328
title: Molecular and Morpho-Structural Characterization of Bioflocculant-Producing Bacterial Isolates for Sustainable Wastewater Remediation

description: This study investigates the isolation, screening, and characterization of bioflocculant-producing bacterial strains from diverse wastewater environments, including municipal solid waste and pharmaceutical effluent sources. Out of the total isolates screened, four promising strains- Bacillus thuringiensis (ASW5), Bacillus paranthracis (SED11), Bacillus halotolerans (A13), and Bacillus velezensis (S14)-demonstrated superior flocculating activity and were subjected to comprehensive physicochemical and biochemical profiling. The initial selection was based on quantitative flocculating efficiency, determined via optical density reduction at 550 nm, followed by evaluation of sludge volume index (SVI) and settling time. These parameters revealed that selected strains achieved over 85% flocculating activity within 15 minutes and showed significant sedimentation efficiency, indicating strong potential for sludge minimization and water clarity improvement. Optimization of culture conditions was performed using various carbon and nitrogen sources, pH, temperature, inoculum size, and agitation speed, revealing glucose and peptone as the most effective nutritional substrates. Further biochemical investigations using phenol-sulfuric acid, Bradford, and carbazole-sulfuric acid methods confirmed that the extracted bioflocculants were composed predominantly of extracellular polysaccharides, proteins, and uronic acids, thereby underlining their anionic nature and bridging capacity. Elemental analysis through CHNS profiling, conducted on dry powder samples, revealed high carbon and nitrogen content with C/N ratios indicating favorable stoichiometry for flocculation processes. Thermogravimetric analysis (TGA) demonstrated high thermal stability of the bioflocculants up to 600°C, affirming their structural robustness. Gas chromatography-mass spectrometry (GC-MS) identified several bioactive constituents including fatty acid methyl esters, esters, and alkanes with potential flocculating, emulsifying, and antimicrobial properties. Proton nuclear magnetic resonance (^1H NMR) spectra of the purified extracts further elucidated functional group signatures, supporting the presence of hydroxyl, amine, and carboxylic functional groups critical for metal ion bridging and particle aggregation. High-resolution imaging via field emission gun scanning electron microscopy (FEG-SEM) and transmission electron microscopy (FEG-TEM) confirmed the porous, fibrous, and branched morphology of the biopolymer matrix, providing physical evidence of its particle entrapment capability. Collectively, these findings highlight the multifunctionality of the selected bioflocculant-producing strains and emphasize their potential for sustainable wastewater treatment applications. This study thus paves the way for further scaling-up and pilot-scale evaluation in diverse industrial wastewater treatment settings, contributing toward green biotechnological advancement and circular bioeconomy.
DOI: 10.17632/n8t79w8328.1
title: Molecular and Morpho-Structural Characterization of Bioflocculant-Producing Bacterial Isolates for Sustainable Wastewater Remediation

description: This study investigates the isolation, screening, and characterization of bioflocculant-producing bacterial strains from diverse wastewater environments, including municipal solid waste and pharmaceutical effluent sources. Out of the total isolates screened, four promising strains- Bacillus thuringiensis (ASW5), Bacillus paranthracis (SED11), Bacillus halotolerans (A13), and Bacillus velezensis (S14)-demonstrated superior flocculating activity and were subjected to comprehensive physicochemical and biochemical profiling. The initial selection was based on quantitative flocculating efficiency, determined via optical density reduction at 550 nm, followed by evaluation of sludge volume index (SVI) and settling time. These parameters revealed that selected strains achieved over 85% flocculating activity within 15 minutes and showed significant sedimentation efficiency, indicating strong potential for sludge minimization and water clarity improvement. Optimization of culture conditions was performed using various carbon and nitrogen sources, pH, temperature, inoculum size, and agitation speed, revealing glucose and peptone as the most effective nutritional substrates. Further biochemical investigations using phenol-sulfuric acid, Bradford, and carbazole-sulfuric acid methods confirmed that the extracted bioflocculants were composed predominantly of extracellular polysaccharides, proteins, and uronic acids, thereby underlining their anionic nature and bridging capacity. Elemental analysis through CHNS profiling, conducted on dry powder samples, revealed high carbon and nitrogen content with C/N ratios indicating favorable stoichiometry for flocculation processes. Thermogravimetric analysis (TGA) demonstrated high thermal stability of the bioflocculants up to 600°C, affirming their structural robustness. Gas chromatography-mass spectrometry (GC-MS) identified several bioactive constituents including fatty acid methyl esters, esters, and alkanes with potential flocculating, emulsifying, and antimicrobial properties. Proton nuclear magnetic resonance (^1H NMR) spectra of the purified extracts further elucidated functional group signatures, supporting the presence of hydroxyl, amine, and carboxylic functional groups critical for metal ion bridging and particle aggregation. High-resolution imaging via field emission gun scanning electron microscopy (FEG-SEM) and transmission electron microscopy (FEG-TEM) confirmed the porous, fibrous, and branched morphology of the biopolymer matrix, providing physical evidence of its particle entrapment capability. Collectively, these findings highlight the multifunctionality of the selected bioflocculant-producing strains and emphasize their potential for sustainable wastewater treatment applications. This study thus paves the way for further scaling-up and pilot-scale evaluation in diverse industrial wastewater treatment settings, contributing toward green biotechnological advancement and circular bioeconomy.
DOI: 10.17632/vtvy7nnjbp
title: Estrogen-Loaded Scaffolds Modulate Thyrocyte Proliferation and Redox Homeostasis Without Oncogenic Risk

description: Loss of functional thyrocytes following thyroid injury or radiotherapy remains a clinical chal-
lenge, motivating the development of biomaterial-based strategies to support thyroid cell
survival and regeneration. 17β-Estradiol (E2) has been shown to promote thyrocyte pro-
liferation. However, systemic or bolus delivery can induce cytotoxicity and raises concerns
regarding oncogenic risk. Here, electrospun polycaprolactone (PCL) scaffolds incorporating
concentrations of E2 were developed as a localized hormone delivery platform for thyroid
epithelial cells.
E2 incorporation altered scaffold mechanical properties in a concentration-dependent man-
ner while preserving fibre morphology, crystallinity, and thermal stability. Scaffold-mediated
delivery supported sustained thyrocyte viability and proliferation compared with bolus E2
exposure. Intermediate E2 concentrations produced the most favourable biological response.
Morphological analysis revealed extensive cell spreading and organised cytoskeletal structures
without features indicative of apoptosis. As expected, E2-loaded scaffolds did not exhibit
direct radical scavenging activity, but promoted upregulation of endogenous antioxidant en-
zymes, indicating indirect modulation of cellular redox homeostasis.
Importantly, expression of thyroid-specific functional markers was largely maintained, and no
oncogenic BRAF mutations were detected under any condition. These findings demonstrate
that controlled E2 delivery via electrospun scaffolds supports thyrocyte proliferation and
redox balance while preserving function, highlighting their potential as tissue engineering
therapeutics for thyroid radiation injury.
DOI: 10.17632/vtvy7nnjbp.1
title: Estrogen-Loaded Scaffolds Modulate Thyrocyte Proliferation and Redox Homeostasis Without Oncogenic Risk

description: Loss of functional thyrocytes following thyroid injury or radiotherapy remains a clinical chal-
lenge, motivating the development of biomaterial-based strategies to support thyroid cell
survival and regeneration. 17β-Estradiol (E2) has been shown to promote thyrocyte pro-
liferation. However, systemic or bolus delivery can induce cytotoxicity and raises concerns
regarding oncogenic risk. Here, electrospun polycaprolactone (PCL) scaffolds incorporating
concentrations of E2 were developed as a localized hormone delivery platform for thyroid
epithelial cells.
E2 incorporation altered scaffold mechanical properties in a concentration-dependent man-
ner while preserving fibre morphology, crystallinity, and thermal stability. Scaffold-mediated
delivery supported sustained thyrocyte viability and proliferation compared with bolus E2
exposure. Intermediate E2 concentrations produced the most favourable biological response.
Morphological analysis revealed extensive cell spreading and organised cytoskeletal structures
without features indicative of apoptosis. As expected, E2-loaded scaffolds did not exhibit
direct radical scavenging activity, but promoted upregulation of endogenous antioxidant en-
zymes, indicating indirect modulation of cellular redox homeostasis.
Importantly, expression of thyroid-specific functional markers was largely maintained, and no
oncogenic BRAF mutations were detected under any condition. These findings demonstrate
that controlled E2 delivery via electrospun scaffolds supports thyrocyte proliferation and
redox balance while preserving function, highlighting their potential as tissue engineering
therapeutics for thyroid radiation injury.
DOI: 10.15468/dl.pn7mwc
title: Occurrence Download

description: A dataset containing 1624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Osyris lanceolata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1624 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010990-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wwmsv8285d
title: Shared leadership

description: There is one raw data file (Shared leadership-1150211.sav) and nine processed files (including Output-1150211.spv and the relevant SEM files). All constructs in the manuscript correspond to the data files.
DOI: 10.17632/wwmsv8285d.2
title: Shared leadership

description: There is one raw data file (Shared leadership-1150211.sav) and nine processed files (including Output-1150211.spv and the relevant SEM files). All constructs in the manuscript correspond to the data files.
DOI: 10.17632/snmwf3nszs
title: Modulation of attractive salt taste in Drosophila

description: These files contain raw data for McDowell et al., 2026, Modulation of attractive salt taste in Drosophila.
DOI: 10.17632/snmwf3nszs.1
title: Modulation of attractive salt taste in Drosophila

description: These files contain raw data for McDowell et al., 2026, Modulation of attractive salt taste in Drosophila.
DOI: 10.17632/kw6jy33gt2
title: Project-based Learning

description: This dataset contains primary research data related to the implementation of Project-based Learning (PBL) in educational settings. It includes survey responses collected to evaluate the effectiveness of PBL on student engagement and learning outcomes. The data was processed and anonymized to ensure participant confidentiality. This dataset supports the findings presented in the associated research manuscript.
DOI: 10.17632/kw6jy33gt2.1
title: Project-based Learning

description: This dataset contains primary research data related to the implementation of Project-based Learning (PBL) in educational settings. It includes survey responses collected to evaluate the effectiveness of PBL on student engagement and learning outcomes. The data was processed and anonymized to ensure participant confidentiality. This dataset supports the findings presented in the associated research manuscript.
DOI: 10.17632/sddjvb4c4r
title: Dataset Learning Environment

description: This dataset contains raw data collected for a study on the development and validation of a University Learning Environment Instrument specifically for the Indonesian higher education context. The data collection was conducted in two separate phases to ensure the psychometric properties of the scale.

The dataset consists of two subsets corresponding to two studies:

a. Study 1 (Exploratory Factor Analysis / EFA):
Purpose: To identify the underlying dimensions of the learning environment construct.
Sample: N = 200 undergraduate students in Indonesia.
Demographics: 23 Males, 177 Females.
Data Content: Responses to the initial pool of items.

b. Study 2 (Validation Phase):
Purpose: To confirm the structure obtained from Study 1 using the same criteria and collection methods.
Sample: N = 241 undergraduate students in Indonesia.
Demographics: 55 Males, 186 Females.
Data Content: Responses to the refined items.

Variables included:
Demographic data: Gender (Sex).
Item responses: Likert-scale responses for the learning environment instrument items.

All data has been anonymized to protect participant privacy. This dataset is provided to support the transparency and reproducibility of the associated research article.