cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/c5rvjdkmt7
title: Drivers and Outcomes of Circular Economy Practices in Chinese Enterprises: The Moderating Role of Digital Technology Based on MOA Theory

description: This data pertains to the drivers of circular economy practices and the correlation between circular economy practices and sustainable performance.Using survey data from 415 firms in China, the analysis reveals that institutional pressure, perceptions of policy benefits, and process innovation capability all have a significant and positive influence on circular economy practices. Moreover, circular economy practices significantly improve environmental, economic, and social performance. Digital technology also strengthens the link between circular economy practices and sustainable performance. 
PIC = Process innovation capability; SPG = sense of policy gain; CP = coercive pressure; NP = normative pressure; MP = mimetic pressure; ED = eco-design; IR = investment recycling; IEM = internal environmental management; DT = digital technology; SPE = economic sustainable performance; SPS = social sustainable performance; SPEN = environmental sustainable performance.
DOI: 10.17632/c5rvjdkmt7.1
title: Drivers and Outcomes of Circular Economy Practices in Chinese Enterprises: The Moderating Role of Digital Technology Based on MOA Theory

description: This data pertains to the drivers of circular economy practices and the correlation between circular economy practices and sustainable performance.Using survey data from 415 firms in China, the analysis reveals that institutional pressure, perceptions of policy benefits, and process innovation capability all have a significant and positive influence on circular economy practices. Moreover, circular economy practices significantly improve environmental, economic, and social performance. Digital technology also strengthens the link between circular economy practices and sustainable performance. 
PIC = Process innovation capability; SPG = sense of policy gain; CP = coercive pressure; NP = normative pressure; MP = mimetic pressure; ED = eco-design; IR = investment recycling; IEM = internal environmental management; DT = digital technology; SPE = economic sustainable performance; SPS = social sustainable performance; SPEN = environmental sustainable performance.
DOI: 10.5291/ill-data.easy-1500
title: SANS of PMMA latexes in dodecane
DOI: 10.17632/cg3gk2yfzv.1
title: Carbonic anhydrase traced by Cd isotope fractionations in Archean to Holocene stromatolitic carbonates

description: trace element and C-O-Cd isotopic data of stromatolitic carbonates of W. Australia
DOI: 10.17632/fjw646gpyf
title: Dolui_dataset2

description: Dataset for soil incubations (cumulative CO2 emissions from continuously-wet and repeated wet-dry cycles) as well as figures of merit for statistical analyses (linear mixed-effects models pairwise Sidak tests showing the effects of transect type, paleostatus, degree of burial or exposure and their interactions on soil organic matter decay rates, fraction sizes and cumlative CO2 losses during continuous-wet and wet-dry cycling incubations). This dataset is supplementary to a manuscript in preparation by Dolui et al (Destabilization of buried carbon under changing moisture regimes, under review), a study which explores carbon dynamics of paleosols in burial and erosional transects of the Great Plains, Nebraska.
DOI: 10.5291/ill-data.easy-1505
title: Measurement of Wolter optics figure error
DOI: 10.15468/dl.dnt9qy
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solen roseomaculatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 12 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019191-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fjw646gpyf.2
title: Dolui_dataset2

description: Dataset for soil incubations (cumulative CO2 emissions from continuously-wet and repeated wet-dry cycles) as well as figures of merit for statistical analyses (linear mixed-effects models pairwise Sidak tests showing the effects of transect type, paleostatus, degree of burial or exposure and their interactions on soil organic matter decay rates, fraction sizes and cumlative CO2 losses during continuous-wet and wet-dry cycling incubations). This dataset is supplementary to a manuscript in preparation by Dolui et al (Destabilization of buried carbon under changing moisture regimes, under review), a study which explores carbon dynamics of paleosols in burial and erosional transects of the Great Plains, Nebraska.
DOI: 10.5291/ill-data.easy-1506
title: Exploring He induced structural phase transitions in a classic spin liquid
DOI: 10.17632/rrbvw4f4xh
title: Ozonation

description: This literature investigates the effect of ozonation as a non-thermal sterilization method in fresh milk. Ozone treatment up to 30 minutes (0.28 mg/L) significantly reduced bacterial counts, with distinct responses among Escherichia coli, Staphylococcus aureus, and Listeria monocytogenes. Nutritional modification using skim and full-cream milk powders revealed that protein- and fat-rich matrices influence bacterial resistance, showing protective or inhibitory effects depending on species.
DOI: 10.17632/rrbvw4f4xh.1
title: Ozonation

description: This literature investigates the effect of ozonation as a non-thermal sterilization method in fresh milk. Ozone treatment up to 30 minutes (0.28 mg/L) significantly reduced bacterial counts, with distinct responses among Escherichia coli, Staphylococcus aureus, and Listeria monocytogenes. Nutritional modification using skim and full-cream milk powders revealed that protein- and fat-rich matrices influence bacterial resistance, showing protective or inhibitory effects depending on species.
DOI: 10.5291/ill-data.easy-1507
title: Hysteresis characterization in a magnetic phase transition of FeWO4
DOI: 10.17632/sf98whvkvz
title: From subtext to prejudice: computational detection of implicit antisemitic tropes in online narratives

description: This paper investigates the transformation of media discourse surrounding Israel in the aftermath of the events of October 7, 2023, and the subsequent military escalation between Israel and Hamas. Using a corpus of textual data extracted from social media (the former Twitter platform, now X), it has been traced how narratives have shifted from a broader framing of the “Israeli–Palestinian conflict” to a targeted rhetoric that increasingly isolates Israel as a singular antagonist. The analysis reveals that public discourse has not only intensified in negativity toward Israel, but also frequently revives long-standing antisemitic tropes under the guise of political critique. Two main analytical dimensions guide the study. First, it is demonstrated that discourse on Israel is often conflated with discourse on the Jewish community as a whole, despite the socio-cultural and religious heterogeneity of Israeli society. This conflation obscures the internal plurality of Israel, reinforcing reductive stereotypes. Second, it is argued that social media rhetoric tends to blur the distinction between Israel as a state actor and Hamas as a non-state terrorist organization. In doing so, it frames the conflict as a generalized “Israel vs. Palestine” dichotomy, thereby oversimplifying the nature of the hostilities and fueling polarizing, hostile speech. By grounding the analysis in empirical data, the study highlights how social media acts as an amplifier of both contemporary geopolitical narratives and inherited prejudices. The findings underscore the need for a more nuanced understanding of the discourse on Israel, one that avoids collapsing complex realities into binary oppositions and resists the resurgence of antisemitic sentiment in digital arenas.
DOI: 10.17632/sf98whvkvz.1
title: From subtext to prejudice: computational detection of implicit antisemitic tropes in online narratives

description: This paper investigates the transformation of media discourse surrounding Israel in the aftermath of the events of October 7, 2023, and the subsequent military escalation between Israel and Hamas. Using a corpus of textual data extracted from social media (the former Twitter platform, now X), it has been traced how narratives have shifted from a broader framing of the “Israeli–Palestinian conflict” to a targeted rhetoric that increasingly isolates Israel as a singular antagonist. The analysis reveals that public discourse has not only intensified in negativity toward Israel, but also frequently revives long-standing antisemitic tropes under the guise of political critique. Two main analytical dimensions guide the study. First, it is demonstrated that discourse on Israel is often conflated with discourse on the Jewish community as a whole, despite the socio-cultural and religious heterogeneity of Israeli society. This conflation obscures the internal plurality of Israel, reinforcing reductive stereotypes. Second, it is argued that social media rhetoric tends to blur the distinction between Israel as a state actor and Hamas as a non-state terrorist organization. In doing so, it frames the conflict as a generalized “Israel vs. Palestine” dichotomy, thereby oversimplifying the nature of the hostilities and fueling polarizing, hostile speech. By grounding the analysis in empirical data, the study highlights how social media acts as an amplifier of both contemporary geopolitical narratives and inherited prejudices. The findings underscore the need for a more nuanced understanding of the discourse on Israel, one that avoids collapsing complex realities into binary oppositions and resists the resurgence of antisemitic sentiment in digital arenas.
DOI: 10.5291/ill-data.easy-1508
title: Checking out oxygen loadings for upcoming XtremeD beamtime
DOI: 10.15468/dl.zvb97t
title: Occurrence Download

description: A dataset containing 9309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charadrius melodus",
 "GadmGid is USA.23_1",
 "Year is greater than or equal to 2000",
 "OccurrenceStatus is Present",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 9309 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019192-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b5wp2gndv8.2
title: Data for "Scheduling coupled tasks with flexible gap for minimization of makespan"

description: The data contains the original data used in the paper "Scheduling coupled tasks with flexible gap for minimization of makespan". Data sets S1 and S2 contain the extension limit of delay time, which should be used with the Benchmark mentioned in this paper, and the data format is the same as Benchmark. S3 contains all the parameters of the problem. Each case file includes four lines of data, which are the processing time of the first task, the processing time of the second task, the delay time and the extension limit. The parameter settings of the dataset are detailed in the paper.
DOI: 10.5281/zenodo.17118753
title: Ensemble Simulations of the Aflatoxin Index (AFI) in Maize under Historical and Future Climate Scenarios across the Euro–Mediterranean

description: This dataset provides ensemble simulations of the Aflatoxin Index (AFI) across the Euro–Mediterranean domain under historical and future climate change scenarios. AFI is a dimensionless indicator derived from the validated AFLA-maize mechanistic model (https://doi.org/10.1016/j.compag.2013.03.005), which integrates maize phenology with Aspergillus flavus infection dynamics. The dataset supports assessments of climate-driven food safety risks in one of the world’s most important maize-producing regions.

Climate data were obtained from the ISIMIP3b (https://www.isimip.org/) bias-adjusted and downscaled outputs of three CMIP6 global circulation models (GFDL-ESM4, IPSL-CM6A-LR, MRI-ESM2-0). Scenarios include:

·       Historical (1981–2014)

·       SSP1-RCP1.9, ‘SSP119’ (2015–2050)

·       SSP1-RCP2.6, ‘SSP126’ (2015–2050)

·       SSP3-RCP7.0, 'SSP370' (2015–2050)

For each scenario, AFI simulations were run at ~50 km grid resolution, covering Europe, North Africa, the Middle East, and western Russia (25°–75°N, –23.75°–44.75°E). Ensemble means were generated to reduce uncertainty across climate models.

Data are provided in NetCDF format, including the following dimensions and variables:

·       latitude, longitude: grid coordinates (decimal degrees, WGS84)

·       year: 34 years for historical, 36 years for each future scenario

·       AFI: ensemble average Aflatoxin Index (dimensionless).

Ocean grid points are set to NaN.

The dataset underpins analysis presented in “Missing the 1.5°C Target: What’s Next for Aflatoxin Contamination?” (P.Toscano, M.Pasqui, M. Camardo Leggieri, D. Balková, P. Battilani, under review), in which further methodological details and results are described.

All simulations and processing were performed in MATLAB (MathWorks, 2024). Seamask processing used the MATLAB function landmask by Chad Greene,  (landmask, https://www.mathworks.com/matlabcentral/fileexchange/48661-landmask), MATLAB Central File Exchange. Accessed December 05, 2024.

The dataset is intended for researchers, policymakers, and stakeholders interested in climate change impacts on food safety, predictive mycotoxin modelling, and Euro–Mediterranean agricultural risk assessment. It can be used to evaluate regional vulnerabilities, support trade and food security studies, and inform adaptation and mitigation strategies.
DOI: 10.5281/zenodo.17118754
title: Ensemble Simulations of the Aflatoxin Index (AFI) in Maize under Historical and Future Climate Scenarios across the Euro–Mediterranean

description: This dataset provides ensemble simulations of the Aflatoxin Index (AFI) across the Euro–Mediterranean domain under historical and future climate change scenarios. AFI is a dimensionless indicator derived from the validated AFLA-maize mechanistic model (https://doi.org/10.1016/j.compag.2013.03.005), which integrates maize phenology with Aspergillus flavus infection dynamics. The dataset supports assessments of climate-driven food safety risks in one of the world’s most important maize-producing regions.

Climate data were obtained from the ISIMIP3b (https://www.isimip.org/) bias-adjusted and downscaled outputs of three CMIP6 global circulation models (GFDL-ESM4, IPSL-CM6A-LR, MRI-ESM2-0). Scenarios include:

·       Historical (1981–2014)

·       SSP1-RCP1.9, ‘SSP119’ (2015–2050)

·       SSP1-RCP2.6, ‘SSP126’ (2015–2050)

·       SSP3-RCP7.0, 'SSP370' (2015–2050)

For each scenario, AFI simulations were run at ~50 km grid resolution, covering Europe, North Africa, the Middle East, and western Russia (25°–75°N, –23.75°–44.75°E). Ensemble means were generated to reduce uncertainty across climate models.

Data are provided in NetCDF format, including the following dimensions and variables:

·       latitude, longitude: grid coordinates (decimal degrees, WGS84)

·       year: 34 years for historical, 36 years for each future scenario

·       AFI: ensemble average Aflatoxin Index (dimensionless).

Ocean grid points are set to NaN.

The dataset underpins analysis presented in “Missing the 1.5°C Target: What’s Next for Aflatoxin Contamination?” (P.Toscano, M.Pasqui, M. Camardo Leggieri, D. Balková, P. Battilani, under review), in which further methodological details and results are described.

All simulations and processing were performed in MATLAB (MathWorks, 2024). Seamask processing used the MATLAB function landmask by Chad Greene,  (landmask, https://www.mathworks.com/matlabcentral/fileexchange/48661-landmask), MATLAB Central File Exchange. Accessed December 05, 2024.

The dataset is intended for researchers, policymakers, and stakeholders interested in climate change impacts on food safety, predictive mycotoxin modelling, and Euro–Mediterranean agricultural risk assessment. It can be used to evaluate regional vulnerabilities, support trade and food security studies, and inform adaptation and mitigation strategies.
DOI: 10.5291/ill-data.easy-1509
title: Water distribution in porous media: Influence in clathrate hydrate formation
DOI: 10.5291/ill-data.easy-1510
title: Characterising the intrinsically disordered c-terminal domain by solution-state NMR spectroscopy.
DOI: 10.17632/4vbmfj4ksf.1
title: EM Replicate

description: This is a copy of the program and data from the paper Supply chain digitalization and corporate innovation: Evidence from China
DOI: 10.5291/ill-data.easy-1514
title: Investigating the crystal-electric-field structure of triangular lattices Ba6Nd2Ti4O17, HoTa7O19 and PrTa7O19
DOI: 10.15468/dl.ry6dw6
title: Occurrence Download

description: A dataset containing 3507 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amanita caesarea"
 ]
}

 The dataset includes 3507 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019193-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5291/ill-data.easy-1515
title: Investigating the crystal-electric-field structure of triangular lattices Ba6Nd2Ti4O17, HoTa7O19 and PrTa7O19
DOI: 10.5281/zenodo.17160217
title: Massaciuccoli Lake basin - Cartographic Comparison of Spatial Analysis Methodologies for Ecosystem Risk Assessment

description: This geographic collection presents a cartographic comparison of three spatial analysis methodologies—Overlap, Multi K-means clustering, and Multi K-means applied to Variational Autoencoder (VAE) outputs—aimed at identifying the Risk of forest and grassland habitat degradation and the associated biodiversity loss.

The analysis integrates a set of environmental and socio-ecological variables considered critical for ecosystem risk evaluation, including:





Land imperviousness density change




Tree cover density




Tree cover density change




Grassland extent




Grassland change




Land use and cover Natura 2000 (classes: 1120 Industrial, commercial and military units; 1310 Mineral extraction, dump and construction sites; 8120 Highly modified watercourses and canals)




Plant phenology index (total productivity)




Temperature (average absolute change)




Potential evapotranspiration (relative change)




Precipitation (cumulative relative change)




Number of species (cumulative)




Land use and cover change



(Detailed references for the variables are provided in the links in the Related Works section.)

The comparison framework was implemented in a QGIS project, structured according to the WGS84 EPSG:4326 coordinate reference system. The project is organized into three main groups of layers:





Original variables – containing the spatial datasets of the raw variables.




Reclassified and inverted variables – including CSV datasets of variables reclassified and, when appropriate, inverted according to their ecological significance.




Risk of forest and grassland habitat degradation and biodiversity loss – comprising the outputs of the three methodologies, the corresponding heatmaps of risk hotspots, and the comparative assessments across methods.
DOI: 10.5291/ill-data.easy-1523
title: Self-assembly of High Molar Mass Double Hydrophilic Block Copolymers in Aqueous Medium
DOI: 10.17632/47nhjyctbc
title: Appendix Risk factors for recurrence or relapse after a first episode of adult IgA vasculitis: a multicenter retrospective study

description: Appendix Risk factors for recurrence or relapse after a first episode of adult IgA vasculitis: a multicenter retrospective study
JAAD-D-25-02559

Supplementary Figure 1: Flow chart for the included patients
Supplementary Figure 2 Balance plot regarding the Average treatment effect in the treated (ATT) for corticoids
Supplementary Figure 3 Balance plot regarding the Average treatment effect in the treated (ATT) weighting for colchicine

Supplementary Table 1 Univariate Cox proportional Hazard ratio model for time to relapse 
Supplementary Table 2 Fine and Gray model for time to relapse
Supplementary Table 3 Frailty model for time to relapse with a random effect according centers
Supplementary Table 4 Multivariable logistic regression for factors associated with digestive involvement 
Supplementary Table 5 Multivariable logistic regression for factors associated with renal involvement
Supplementary Table 6 Exploratory analyses regarding treatment effectiveness
DOI: 10.17632/47nhjyctbc.1
title: Appendix Risk factors for recurrence or relapse after a first episode of adult IgA vasculitis: a multicenter retrospective study

description: Appendix Risk factors for recurrence or relapse after a first episode of adult IgA vasculitis: a multicenter retrospective study
JAAD-D-25-02559

Supplementary Figure 1: Flow chart for the included patients
Supplementary Figure 2 Balance plot regarding the Average treatment effect in the treated (ATT) for corticoids
Supplementary Figure 3 Balance plot regarding the Average treatment effect in the treated (ATT) weighting for colchicine

Supplementary Table 1 Univariate Cox proportional Hazard ratio model for time to relapse 
Supplementary Table 2 Fine and Gray model for time to relapse
Supplementary Table 3 Frailty model for time to relapse with a random effect according centers
Supplementary Table 4 Multivariable logistic regression for factors associated with digestive involvement 
Supplementary Table 5 Multivariable logistic regression for factors associated with renal involvement
Supplementary Table 6 Exploratory analyses regarding treatment effectiveness
DOI: 10.5291/ill-data.easy-1524
title: SnSrTa2O7 - A new polar material
DOI: 10.5291/ill-data.easy-1525
title: QENS to investigate organically-doped plastic crystals for improving thermal hysteresis
DOI: 10.17632/5z62n89gh4
title: Research Data_Xiaoyi Yang_2025.09

description: Research paper: Soil microbes managed to switch from responding to adapting over 15 repeated freeze-thaw cycles
DOI: 10.17632/5z62n89gh4.1
title: Research Data_Xiaoyi Yang_2025.09

description: Research paper: Soil microbes managed to switch from responding to adapting over 15 repeated freeze-thaw cycles
DOI: 10.5281/zenodo.17161173
title: Comparative analysis of targeted metabolomic profiles reveals plasma metabolite differences across three Italian heavy pig breeds

description: Dataset of the study: Comparative analysis of targeted metabolomic profiles reveals plasma metabolite differences across three Italian heavy pig breeds.
DOI: 10.5291/ill-data.easy-1527
title: Water and Sodium position in Prussian Blue Analogs
DOI: 10.5281/zenodo.15301582
title: Comparative analysis of targeted metabolomic profiles reveals plasma metabolite differences across three Italian heavy pig breeds

description: Dataset of the study: Comparative analysis of targeted metabolomic profiles reveals plasma metabolite differences across three Italian heavy pig breeds.
DOI: 10.5291/ill-data.easy-1528
title: Structure or ordered variant of AgBiS2
DOI: 10.17632/2h7rsmbv65
title: RSCPharmaceutics_Raw files

description: Raw files for nAl-Alg adjuvant
DOI: 10.17632/2h7rsmbv65.1
title: RSCPharmaceutics_Raw files

description: Raw files for nAl-Alg adjuvant
DOI: 10.5291/ill-data.easy-1530
title: Fast diffraction characterization of SALSA samples