cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31369999
title: Multicultural elements in textbooks

description: This study investigates how multicultural elements are represented in newly revised Chinese senior secondary English textbooks and how such representations are mediated in classroom practice. Using a mixed-methods design, we conducted a systematic content analysis of verbal and visual materials based on an integrated framework and triangulated these findings with semi-structured interviews and instructional materials from three teachers. The textbook analysis identified 197 cultural references in verbal content and 50 in visuals, showing a strong concentration on local Chinese culture and inner-circle contexts, with limited representation of outer-circle and expanding-circle cultures. Across cultural locations, cultural products and named figures dominated, while cultural perspectives were infrequent and largely absent from visual materials, indicating that culture is predominantly framed as descriptive knowledge rather than interpretive engagement. Teacher data suggest that cultural teaching is pragmatically filtered by student proficiency, time constraints, and assessment pressures, with cultural content often used to support comprehension rather than sustained reflection. These findings indicate a partial misalignment between curriculum aspirations for cultural awareness and the forms of cultural representation and enactment made available through textbooks and classroom practice, highlighting cultural awareness as an enacted and contingent outcome shaped by interactions among curriculum intentions, material design, and teacher mediation.
DOI: 10.6084/m9.figshare.31369999.v1
title: Multicultural elements in textbooks

description: This study investigates how multicultural elements are represented in newly revised Chinese senior secondary English textbooks and how such representations are mediated in classroom practice. Using a mixed-methods design, we conducted a systematic content analysis of verbal and visual materials based on an integrated framework and triangulated these findings with semi-structured interviews and instructional materials from three teachers. The textbook analysis identified 197 cultural references in verbal content and 50 in visuals, showing a strong concentration on local Chinese culture and inner-circle contexts, with limited representation of outer-circle and expanding-circle cultures. Across cultural locations, cultural products and named figures dominated, while cultural perspectives were infrequent and largely absent from visual materials, indicating that culture is predominantly framed as descriptive knowledge rather than interpretive engagement. Teacher data suggest that cultural teaching is pragmatically filtered by student proficiency, time constraints, and assessment pressures, with cultural content often used to support comprehension rather than sustained reflection. These findings indicate a partial misalignment between curriculum aspirations for cultural awareness and the forms of cultural representation and enactment made available through textbooks and classroom practice, highlighting cultural awareness as an enacted and contingent outcome shaped by interactions among curriculum intentions, material design, and teacher mediation.
DOI: 10.1285/i22402772a15p505
title: Resoconti
DOI: 10.1285/i22402772a15p507
title: Presentazione del volume di F. Grelle, M. Silvestrini, G. Volpe, R. Goffredo. La Puglia nel mondo romano: storia di una periferia. 3. Dal principato all'età tardoantica (Lecce, 20 Marzo 2025)
DOI: 10.6084/m9.figshare.31111210
title: Computational Investigation of Variable-Sensitivity Force Sensors: A Comparison of Polyurethane-based Shape-Memory Polymers

description: Shape-memory-polymer (SMP)-based force sensors (FS) enable adaptive sensitivity through thermally induced stiffness modulation, offering significant advantages for caregiving robotics. We previously developed and theoretically validated the experimental data for a novel thermo-responsive polyurethane (PUR) SMP-based FS with variable sensitivity and measuring range by combining concepts of stiffness change, structural modification, and cross-sectional shapes programming. In this study, we have proposed a computational framework based on finite element analysis (FEA) to compare the heat-triggered sensitivity-switching behavior of SMP-FS, providing a systematic understanding of how the selection of SMP materials affects FS performance. Our analysis is focused on four distinct PUR-based SMPs, each differing in stiffness and glass transition temperature. FEA is conducted using ANSYS, employing linear elastic models for the glassy state and viscoelastic constitutive models based on Prony series for the rubbery state. Force–displacement and force–strain responses are analyzed to quantify key performance metrics. The results reveal strong correlations between SMP modulus contrast, viscoelastic relaxations, and achievable sensitivity tuning range. In turn, this comparative framework demonstrates that the dynamic range of variable sensitivity FS can be effectively tailored solely through strategic material selection, without altering the sensor geometry.
DOI: 10.6084/m9.figshare.31111210.v2
title: Computational Investigation of Variable-Sensitivity Force Sensors: A Comparison of Polyurethane-based Shape-Memory Polymers

description: Shape-memory-polymer (SMP)-based force sensors (FS) enable adaptive sensitivity through thermally induced stiffness modulation, offering significant advantages for caregiving robotics. We previously developed and theoretically validated the experimental data for a novel thermo-responsive polyurethane (PUR) SMP-based FS with variable sensitivity and measuring range by combining concepts of stiffness change, structural modification, and cross-sectional shapes programming. In this study, we have proposed a computational framework based on finite element analysis (FEA) to compare the heat-triggered sensitivity-switching behavior of SMP-FS, providing a systematic understanding of how the selection of SMP materials affects FS performance. Our analysis is focused on four distinct PUR-based SMPs, each differing in stiffness and glass transition temperature. FEA is conducted using ANSYS, employing linear elastic models for the glassy state and viscoelastic constitutive models based on Prony series for the rubbery state. Force–displacement and force–strain responses are analyzed to quantify key performance metrics. The results reveal strong correlations between SMP modulus contrast, viscoelastic relaxations, and achievable sensitivity tuning range. In turn, this comparative framework demonstrates that the dynamic range of variable sensitivity FS can be effectively tailored solely through strategic material selection, without altering the sensor geometry.
DOI: 10.6084/m9.figshare.31111210.v3
title: Computational Investigation of Variable-Sensitivity Force Sensors: A Comparison of Polyurethane-based Shape-Memory Polymers

description: Shape-memory-polymer (SMP)-based force sensors (FS) enable adaptive sensitivity through thermally induced stiffness modulation, offering significant advantages for caregiving robotics. We previously developed and theoretically validated the experimental data for a novel thermo-responsive polyurethane (PUR) SMP-based FS with variable sensitivity and measuring range by combining concepts of stiffness change, structural modification, and cross-sectional shapes programming. In this study, we have proposed a computational framework based on finite element analysis (FEA) to compare the heat-triggered sensitivity-switching behavior of SMP-FS, providing a systematic understanding of how the selection of SMP materials affects FS performance. Our analysis is focused on four distinct PUR-based SMPs, each differing in stiffness and glass transition temperature. FEA is conducted using ANSYS, employing linear elastic models for the glassy state and viscoelastic constitutive models based on Prony series for the rubbery state. Force–displacement and force–strain responses are analyzed to quantify key performance metrics. The results reveal strong correlations between SMP modulus contrast, viscoelastic relaxations, and achievable sensitivity tuning range. In turn, this comparative framework demonstrates that the dynamic range of variable sensitivity FS can be effectively tailored solely through strategic material selection, without altering the sensor geometry.
DOI: 10.15468/dl.563vp3
title: Occurrence Download

description: A dataset containing 3117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Living Specimen, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Eutrema penlandii, Eutrema edwardsii)"
 ]
}

 The dataset includes 3117 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029695-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i22402772a15p513
title: I Re e il diritto. Tarquinio Prisco (Padova, 3-4 maggio 2024)
DOI: 10.15468/dl.swmeah
title: Occurrence Download

description: A dataset containing 578153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Butorides striata",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 578153 records from 543 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029661-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18700860
title: Prokaryotic virus contig sequences from Mar Menor (time series, from October 2019 to October 2022), Mar Menor [Ghai et al. (2012], Albufera of Valencia [Ghai et al. (2012] and other datasets to reproduce figures, and surface water from several locations of the Mediterranean Sea [(López-Pérez et al. (2017) and Karsenti et al. (2011)].

description: ### Prokaryotic virus contig sequences from Mar Menor (time series, from October 2019 to October 2022), Mar Menor [Ghai et al. (2012], Albufera of Valencia [Ghai et al. (2012], and surface water from several locations of the Mediterranean Sea [(López-Pérez et al. (2017) and Karsenti et al. (2011)].  The virus contig sequences were identified following the SOP recommended by Guo et al. 2021. First, VirSorter2 was applied using a score of 0.5 and candidate viruses were later inspected and sorted into confidence categories using CheckV. Functional annotation with DRAMv was utilized to manually inspect contigs carrying suspicious cellular genes.

*datasets_Mar_Menor_viral_contigs.fna --> Mar Menor time-series

*datasets_454_viral_contigs.fna --> Mar Menor [Ghai et al. (2012], Albufera of Valencia [Ghai et al. (2012]

*datasets_Med_viral_contigs.fna --> surface water from several locations of the Mediterranean Sea [(López-Pérez et al. (2017) and Karsenti et al. (2011)].

 

### Other data files to reproduce figures (inputs of R scripts):

*vOTU_relative_abundances_MM_time_series.csv

*total_nts_in_reads_per_metagenome_MM_time_series.csv

*total_nts_in_reads_per_metagenome_Medit.csv

*Med-MM_vOTU_abund_table.csv

*MM_vOTU_abund_table.csv

*Med-MM_vOTU_abund_hosts_table.csv

*Med-MM_vOTU_abund_table_BACPHLIP.csv

*Med-MM_vOTU_abund_table_lysogeny_markers.csv

*MM_vOTU_abund_table_lysogeny_markers.csv

*Med-MM_vOTU_abund_table_con_funciones.csv

*MM_vOTU_abund_table_con_funcions_wo_underscores.csv

*environmental_variables.csv
DOI: 10.5281/zenodo.18700154
title: ECOCLIMAP-SG-MLv2

description: 60 m resolution land use/land cover map over Europe.

An updated version of the ECOCLIMAP-SG-ML [1], produced with a re-trained deep learning model. The new deep learning model was trained by taking coordinates of the map as an additional input, and the resulting map was produced by keeping the score limit to 0.3 and choosing the land cover labels with highest probability.

ECOCLIMAP-SG-MLv2 achieves a 0.01 point improvement in overall F1-score for the machine learning generated pixels. At the class level, it shows notable gains(> 0.05 point F1 increase) for Boreal broadleaf deciduous, LCZ5: open midrise,and LCZ10: heavy industry. These improvements come with a trade-off: acomparable decrease (> 0.05 point F1) in accuracy for C4 crops and LCZ8:large low-rise.

 

1. Rieutord, T., Gleeson, E., & Bessardon, G. (2024). ECOCLIMAP-SG-ML: an ensemble land cover map for numerical weather prediction [Data set]. In Land (Vol. 13, Number 11, p. 1875). Zenodo. https://doi.org/10.5281/zenodo.14046040
DOI: 10.5281/zenodo.18700153
title: ECOCLIMAP-SG-MLv2

description: 60 m resolution land use/land cover map over Europe.

An updated version of the ECOCLIMAP-SG-ML [1], produced with a re-trained deep learning model. The new deep learning model was trained by taking coordinates of the map as an additional input, and the resulting map was produced by keeping the score limit to 0.3 and choosing the land cover labels with highest probability.

ECOCLIMAP-SG-MLv2 achieves a 0.01 point improvement in overall F1-score for the machine learning generated pixels. At the class level, it shows notable gains(> 0.05 point F1 increase) for Boreal broadleaf deciduous, LCZ5: open midrise,and LCZ10: heavy industry. These improvements come with a trade-off: acomparable decrease (> 0.05 point F1) in accuracy for C4 crops and LCZ8:large low-rise.

 

1. Rieutord, T., Gleeson, E., & Bessardon, G. (2024). ECOCLIMAP-SG-ML: an ensemble land cover map for numerical weather prediction [Data set]. In Land (Vol. 13, Number 11, p. 1875). Zenodo. https://doi.org/10.5281/zenodo.14046040
DOI: 10.1285/i22402772a15p517
title: Le juriste face à l'éthique. Approches diachroniques (Paris, 22-23 maggio 2025)
DOI: 10.1285/i22402772a15p521
title: L'opera scientifica di Vincenzo Arangio-Ruiz. Presentazione dell'Edizione nazionale delle opere di Vincenzo Arangio-Ruiz (Roma, 30 maggio 2025)
DOI: 10.5281/zenodo.18700183
title: Hybrid Fusion of Sentinel-2 and Airborne LiDAR Data to Constrain Tree Species Fraction Mapping in Temperate Mixed Forests

description: This dataset contains the latest version of tree species fractions incorporating hybrid fusion of Sentinel-2 and Airborne LiDAR data as a result of the paper "Hybrid Fusion of Sentinel-2 and Airborne LiDAR Data to Constrain Tree Species Fraction Mapping in Temperate Mixed Forests". (DOI pending)

This product can be seen an advancement of the methodology presented in "Mapping Tree Species Fractions in Temperate Mixed Forests Using Sentinel-2 Time Series and Synthetically Mixed Training Data" (DOI: https://doi.org/10.1016/j.rse.2025.114740  )

The dataset contains:



The resulting 12-band tree species fraction map of Rhineland-Palatinate, Germany.

HSV-colored map of dominant tree species. For information, which tree species are represented by the different colors, refer to the Supplemental in the original paper (DOI: https://doi.org/10.1016/j.rse.2025.114740  ).
DOI: 10.5281/zenodo.18700182
title: Hybrid Fusion of Sentinel-2 and Airborne LiDAR Data to Constrain Tree Species Fraction Mapping in Temperate Mixed Forests

description: This dataset contains the latest version of tree species fractions incorporating hybrid fusion of Sentinel-2 and Airborne LiDAR data as a result of the paper "Hybrid Fusion of Sentinel-2 and Airborne LiDAR Data to Constrain Tree Species Fraction Mapping in Temperate Mixed Forests". (DOI pending)

This product can be seen an advancement of the methodology presented in "Mapping Tree Species Fractions in Temperate Mixed Forests Using Sentinel-2 Time Series and Synthetically Mixed Training Data" (DOI: https://doi.org/10.1016/j.rse.2025.114740  )

The dataset contains:



The resulting 12-band tree species fraction map of Rhineland-Palatinate, Germany.

HSV-colored map of dominant tree species. For information, which tree species are represented by the different colors, refer to the Supplemental in the original paper (DOI: https://doi.org/10.1016/j.rse.2025.114740  ).
DOI: 10.1285/i22402772a15p530
title: I Re e il diritto. Servio Tullio (Lecce, 13-14 giugno 2025)
DOI: 10.5281/zenodo.17803944
title: Dataset Mapping medieval malaria in the Netherlands

description: Dataset underlying: Schats R. Mapping medieval malaria in the Netherlands. A bioarchaeological approach using cribra orbitalia as a proxy. Parasitology. Published online 2026:1-37. doi:10.1017/S0031182026101747
DOI: 10.5281/zenodo.17803943
title: Dataset Mapping medieval malaria in the Netherlands

description: Dataset underlying: Schats R. Mapping medieval malaria in the Netherlands. A bioarchaeological approach using cribra orbitalia as a proxy. Parasitology. Published online 2026:1-37. doi:10.1017/S0031182026101747
DOI: 10.5281/zenodo.18700621
title: Data, code and software to reproduce the article entitled "Disease regulation in intercropping systems depends on spatial arrangement – a modelling study"

description: This is the models code and simulation folders (inputs and outputs) to reproduce the article entitled " Disease regulation in intercropping systems depends on spatial arrangement – a modelling study". Here is a summary of the paper:

Cultural diversification is presented as an effective method to increase the resilience of agrosystems in the face of climate change and the need to reduce reliance on artificial inputs. In particular, there is a growing interest in understanding how diversified cultures can help in reducing pesticide use.

In the case of intercropping, specific mechanisms have been identified which impact disease development: dilution and barrier effects as well as changes in microclimate in the canopy, but they are hardly characterised.

We propose a process-based, mechanistic modelling approach to study a virtual wheat/pea intercrop submitted to a brown rust epidemic over 30 reference years, to decipher in silico the effect of these mechanisms and their sensitivity to changes in spatial arrangement of the field.

We found that in most cases intercropping had beneficial effects in terms of disease control by protecting the photosynthetic capacity of wheat for longer during the crop cycle, mainly through the alteration in the movement of spores (barrier effect). Field arrangements with greater distances between rows and/or reduced proportion of wheat in the species mix performed better on average, albeit with a high variability mostly due to interannual weather fluctuations.

Given the complex interactions between spatial arrangement and annual variability, we argue that modelling is a valuable tool to run multiple simulations, identify scenarios most conducive to effective disease protection, and inform evidence-based decision-making.
DOI: 10.5281/zenodo.18700622
title: Data, code and software to reproduce the article entitled "Disease regulation in intercropping systems depends on spatial arrangement – a modelling study"

description: This is the models code and simulation folders (inputs and outputs) to reproduce the article entitled " Disease regulation in intercropping systems depends on spatial arrangement – a modelling study". Here is a summary of the paper:

Cultural diversification is presented as an effective method to increase the resilience of agrosystems in the face of climate change and the need to reduce reliance on artificial inputs. In particular, there is a growing interest in understanding how diversified cultures can help in reducing pesticide use.

In the case of intercropping, specific mechanisms have been identified which impact disease development: dilution and barrier effects as well as changes in microclimate in the canopy, but they are hardly characterised.

We propose a process-based, mechanistic modelling approach to study a virtual wheat/pea intercrop submitted to a brown rust epidemic over 30 reference years, to decipher in silico the effect of these mechanisms and their sensitivity to changes in spatial arrangement of the field.

We found that in most cases intercropping had beneficial effects in terms of disease control by protecting the photosynthetic capacity of wheat for longer during the crop cycle, mainly through the alteration in the movement of spores (barrier effect). Field arrangements with greater distances between rows and/or reduced proportion of wheat in the species mix performed better on average, albeit with a high variability mostly due to interannual weather fluctuations.

Given the complex interactions between spatial arrangement and annual variability, we argue that modelling is a valuable tool to run multiple simulations, identify scenarios most conducive to effective disease protection, and inform evidence-based decision-making.
DOI: 10.5066/p93ediqq
title: Geochemical and mineralogical data for mine waste from Sulphur Bank Mercury Mine, Lake County, California (ver. 2.0, February 2026)

description: This data release presents geochemical and mineralogical data for mine waste at Sulphur Bank Mercury Mine (SBMM). This work is performed in cooperation with the US Environmental Protection Agency (EPA) to characterize sources of contamination at the SBMM cleanup site. A total of 23 samples were collected: 15 samples were collected by USGS from various waste piles during 2020-21 (14 composites from the top 0-2 centimeters of material, and one composite from six discrete ore hand samples), six composite samples were generated from drill cores from monitoring wells installed by EPA contractor EA Engineering, Science, and Technology, Inc. (EA), in the Waste Rock Dam during 2022. Two additional hand samples - one cinderblock and one scoria - were collected by USGS from the eastern flank of the South waste pile. The 21 composite samples were analyzed by inductively coupled plasma-mass spectrometry (ICP-MS) for trace elements, inductively coupled plasma-optical emission spectroscopy (ICP-OES) for major elements, 5-stage sequential extractions to determine phase associations, semi-quantitative X-ray diffraction (XRD) for mineralogy, EPA Method 3051a for total arsenic and EPA Method 1340 and the California Arsenic Bioaccessibility (CAB) method for relative in vitro arsenic bioaccessibility. The two hand samples were analyzed by ICP-MS for trace elements, ICP-OES for major elements, and semi-quantitative XRD for mineralogy. For composite samples, analyses were performed for two size fractions, S4 (63-250 micron(um)) and S5 (< 63 um), except for EPA 3051a and 1340 and the CAB test, which were performed on the S3 (< 250 um) size fraction. The two hand samples were only analyzed for the S5 size fraction. Results are presented for all 23 samples of ore, calcined tailings, waste rock material, Waste Rock Dam drill cores, cinderblock, and scoria collected between November 20, 2020 and June 17, 2022.

Version History Summary:
First Published: December 2023
Version 2.0: February 2026
DOI: 10.15468/dl.xe6une
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-17.29405 32.81081,-17.22773 32.71982,-17.03225 32.63167,-16.86818 32.5905,-16.77742 32.60521,-16.73903 32.69926,-16.68317 32.72569,-16.69365 32.7844,-16.77044 32.79321,-16.8612 32.87533,-17.03981 32.84308,-17.21435 32.91051,-17.29405 32.81081))",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April)",
 "OccurrenceStatus is Present",
 "TaxonKey is Columba trocaz",
 "Year 2021-2026"
 ]
}

 The dataset includes 295 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029697-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18700870
title: Protective factors against long COVID: A secondary analysis of the prospective longitudinal StressLoC cohort

description: Dataset and R script of Protective factors against long COVID: A secondary analysis of the prospective longitudinal StressLoC cohort