cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rsv7twtndc
title: Replication data for: When the Neighbors Are Watching: Immigrant Integration Policy and Housing Wealth

description: Replication data and code for "When the Neighbors Are Watching: Immigrant Integration Policy and Housing Wealth", 2026, Journal of Urban Economics: Insights. Authors: M.F. Carillo, L. Piemontese 
, F. F. Russo
DOI: 10.17632/rsv7twtndc.1
title: Replication data for: When the Neighbors Are Watching: Immigrant Integration Policy and Housing Wealth

description: Replication data and code for "When the Neighbors Are Watching: Immigrant Integration Policy and Housing Wealth", 2026, Journal of Urban Economics: Insights. Authors: M.F. Carillo, L. Piemontese 
, F. F. Russo
DOI: 10.15468/dl.fxawgy
title: Occurrence Download

description: A dataset listing the 0 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "KingdomKey is Plantae",
 "Country is Mexico"
 ]
}

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002108-260129131611470/datasets/export for details.
DOI: 10.17632/fsrydzj7xn
title: Sustainability-Oriented Assessment of the Governance Capacity of China's Intangible Cultural Heritage Policies: A Hybrid BERTopic-PMC Systematic Analysis

description: The supplementary data in the article
DOI: 10.17632/fsrydzj7xn.1
title: Sustainability-Oriented Assessment of the Governance Capacity of China's Intangible Cultural Heritage Policies: A Hybrid BERTopic-PMC Systematic Analysis

description: The supplementary data in the article
DOI: 10.71900/41w8-gf97
title: High-frequency pigment data (Chl, PC, PE) from LM2 buoy in Lake Maggiore - Italy

description: The dataset includes hourly average values (obtained from sensor readings - frequency 1 min) for chlorophyll-a, phycocyanin, phycoerithrin (at one fixed depth). Cholophyll data expressed as concentration. NOTE: raw data; factory calibration used; data need to be corrected based on concentration range of the study site. Phycocyanin and phycoerithrin data expressed as contribution to chl-a fluorescence (not absolute concentrations).
Data are collected by in-situ sensors on the Lake Maggiore buoy located in the Ispra sub-basin of Lake Maggiore (LM2 buoy; for details see: https://deims.org/locations/d204d9c5-fef7-405e-9043-8bd7d6b954dc). Raw data have beeen checked level 1 (removal of  0, NA, outliers) and hourly averaged. The buoy has been deployed by the Regional Agency of Environmental Protection of the Lombardy Region (ARPA Lombardia) and is presenlty managed in cooperation between CNR IRSA and ARPA Lombardia.
DOI: 10.71900/1yp7-rc91
title: High-frequency pigment data (Chl, PC, PE) from LM2 buoy in Lake Maggiore - Italy

description: The dataset includes hourly average values (obtained from sensor readings - frequency 1 min) for chlorophyll-a, phycocyanin, phycoerithrin (at one fixed depth). Cholophyll data expressed as concentration. NOTE: raw data; factory calibration used; data need to be corrected based on concentration range of the study site. Phycocyanin and phycoerithrin data expressed as contribution to chl-a fluorescence (not absolute concentrations).
Data are collected by in-situ sensors on the Lake Maggiore buoy located in the Ispra sub-basin of Lake Maggiore (LM2 buoy; for details see: https://deims.org/locations/d204d9c5-fef7-405e-9043-8bd7d6b954dc). Raw data have beeen checked level 1 (removal of  0, NA, outliers) and hourly averaged. The buoy has been deployed by the Regional Agency of Environmental Protection of the Lombardy Region (ARPA Lombardia) and is presenlty managed in cooperation between CNR IRSA and ARPA Lombardia.
DOI: 10.5281/zenodo.18399587
title: Supplementary Material for CAV'26
DOI: 10.5281/zenodo.18432262
title: Supplementary Material for CAV'26
DOI: 10.17632/gkxr86h54s
title: Supplementary Table for Response to Alam et al., “Association between DPP4 inhibitor use and risk of skin cancer in type 2 diabetes: A real-world cohort study”

description: Supplementary table for a retrospective cohort study using the TriNetX platform to investigate the association between DPP4 inhibitor use and skin cancer risk. Table includes ICD-10 codes used to identify participants with skin cancer diagnoses.
DOI: 10.17632/gkxr86h54s.1
title: Supplementary Table for Response to Alam et al., “Association between DPP4 inhibitor use and risk of skin cancer in type 2 diabetes: A real-world cohort study”

description: Supplementary table for a retrospective cohort study using the TriNetX platform to investigate the association between DPP4 inhibitor use and skin cancer risk. Table includes ICD-10 codes used to identify participants with skin cancer diagnoses.
DOI: 10.17632/2jfdnp35z2
title: Dataset on antimicrobial resistance of Vibrio spp. isolates across Adriatic regions

description: The underlying hypothesis of this study was that Vibrio spp. isolates from different regions of the Adriatic Sea display distinct antimicrobial resistance patterns that reflect regional environmental conditions and anthropogenic pressures. To test this hypothesis, Vibrio isolates were collected from several Adriatic regions and phenotypically tested for antimicrobial susceptibility using standardized disk diffusion methods.
The dataset demonstrates variability in resistance profiles among isolates from the northern, central, and southern Adriatic regions, including differences in the frequency of resistance to commonly used antibiotics. These patterns provide insight into regional trends in antimicrobial resistance and highlight the potential influence of local environmental and ecological factors.
The data can be interpreted by comparing resistance profiles across regions and antibiotics, and can be reused for comparative analyses, meta-analyses, and broader One Health–oriented studies addressing antimicrobial resistance in marine environments and aquaculture-associated bacteria. 
Sequence data generated in this study are publicly available in the NCBI GenBank database under accession numbers OL979296–OL979441.
Reference sequences used for phylogenetic reconstruction are listed in the supplementary materials of the associated publication and are not included in this dataset.
DOI: 10.17632/2jfdnp35z2.1
title: Dataset on antimicrobial resistance of Vibrio spp. isolates across Adriatic regions

description: The underlying hypothesis of this study was that Vibrio spp. isolates from different regions of the Adriatic Sea display distinct antimicrobial resistance patterns that reflect regional environmental conditions and anthropogenic pressures. To test this hypothesis, Vibrio isolates were collected from several Adriatic regions and phenotypically tested for antimicrobial susceptibility using standardized disk diffusion methods.
The dataset demonstrates variability in resistance profiles among isolates from the northern, central, and southern Adriatic regions, including differences in the frequency of resistance to commonly used antibiotics. These patterns provide insight into regional trends in antimicrobial resistance and highlight the potential influence of local environmental and ecological factors.
The data can be interpreted by comparing resistance profiles across regions and antibiotics, and can be reused for comparative analyses, meta-analyses, and broader One Health–oriented studies addressing antimicrobial resistance in marine environments and aquaculture-associated bacteria. 
Sequence data generated in this study are publicly available in the NCBI GenBank database under accession numbers OL979296–OL979441.
Reference sequences used for phylogenetic reconstruction are listed in the supplementary materials of the associated publication and are not included in this dataset.
DOI: 10.17632/5rgrddvfjh
title: IEE IHU Students' assessment data (2009-2024)

description: The dataset consists of one table that register student scores for the department of Information and Electronic Engineering (IEE) at the International Hellenic University (IHU), in Greece.

STUDENT ASSESSMENT GRADES TABLE (file: grades.csv)
This dataset contains assessment scores in 19 core courses that have been consistently offered during the 2009 to 2024 period (15 academic years). The table registers a total of 37,053 rows (results) involving 3,640 discrete students.

Structure:
1) Student_ID: student identifier in [S00001-S04302]
2) Course_ID: course identifiers in [C101, C926]
3) Ac_Year: academic year
4) Ac_Period: academic semester (1=Fall, 2=Spring)
5) Exam_Period: examinations period (1–2 for Fall, 3–4 for Spring semester)
6) Grade: student grade in the [2.0-10.0] range

Data Preparation:
a) Only the most recent (student, course) grades are registered.
b) No cases of missing grades.

Example:
‘S00001, C532, 2016, 1, 2, 7.3’: student S00001 obtained a 7.3 grade in course C532 in exam period 2 of the Fall semester during the '2026-17' academic year.

Key Features:
a) Anonymized student and course IDs to protect critical personal and departmental data.
b) The data suffice to conduct the analysis reported in research article "Correlation as an ARM Interestingness Measure for Numeric Datasets"
DOI: 10.23668/psycharchives.21615
title: Dataset for: The treatment effect in randomized control Trials (RCTs) of pharmacological treatments (Selective Serotonin Reuptake Inhibitors (SSRIs)) for patients with posttraumatic stress disorder

description: Standardized CAMA dataset based on: The treatment effect in randomized control Trials (RCTs) of pharmacological treatments (Selective Serotonin Reuptake Inhibitors (SSRIs)) for patients with posttraumatic stress disorder
DOI: 10.6084/m9.figshare.31211265
title: Pentameric M2e influenza vaccine candidate generates strong immunity with limited survival benefit

description: We previously demonstrated that native-like oligomers of Influenza A H1N1 M2e, expressed in Expi293F cells, elicit robust immune responses. Building on this foundation, we engineered a recombinant antigen comprising five tandem repeats of the M2e epitope (M2e-5x) fused to the tGCN4 domain, which promotes oligomerization and stability. BALB/c mice were immunized intramuscularly with M2e-5x antigen formulated in AddaVax<sup>TM</sup>, in a prime-boost regimen, which elicited strong humoral and cellular responses. Despite this, vaccinated animals did not survive following high-dose lethal challenge with Influenza A/PR/8/34 (H1N1) and X-31 (H3N2) viruses. However, notable reductions in lung viral titers and less severe histopathological damage were observed compared to unvaccinated controls, suggesting partial viral clearance. Further evaluation of <i>in vivo</i> protective efficacy by combining M2e-5x (35 µg) with a low dose of soluble trimeric HA (5 µg) antigen showed complete protection in challenged mice. The overall results emphasized the importance of multi-antigen formulations for protective and robust influenza immunity. These findings highlight the importance of incorporating conserved and key viral epitopes into vaccine formulations to enhance broad and robust protection, providing valuable guidance for future influenza vaccine development.
DOI: 10.6084/m9.figshare.31211265.v1
title: Pentameric M2e influenza vaccine candidate generates strong immunity with limited survival benefit

description: We previously demonstrated that native-like oligomers of Influenza A H1N1 M2e, expressed in Expi293F cells, elicit robust immune responses. Building on this foundation, we engineered a recombinant antigen comprising five tandem repeats of the M2e epitope (M2e-5x) fused to the tGCN4 domain, which promotes oligomerization and stability. BALB/c mice were immunized intramuscularly with M2e-5x antigen formulated in AddaVax<sup>TM</sup>, in a prime-boost regimen, which elicited strong humoral and cellular responses. Despite this, vaccinated animals did not survive following high-dose lethal challenge with Influenza A/PR/8/34 (H1N1) and X-31 (H3N2) viruses. However, notable reductions in lung viral titers and less severe histopathological damage were observed compared to unvaccinated controls, suggesting partial viral clearance. Further evaluation of <i>in vivo</i> protective efficacy by combining M2e-5x (35 µg) with a low dose of soluble trimeric HA (5 µg) antigen showed complete protection in challenged mice. The overall results emphasized the importance of multi-antigen formulations for protective and robust influenza immunity. These findings highlight the importance of incorporating conserved and key viral epitopes into vaccine formulations to enhance broad and robust protection, providing valuable guidance for future influenza vaccine development.
DOI: 10.17632/5rgrddvfjh.1
title: IEE IHU Students' assessment data (2009-2024)

description: The dataset consists of one table that register student scores for the department of Information and Electronic Engineering (IEE) at the International Hellenic University (IHU), in Greece.

STUDENT ASSESSMENT GRADES TABLE (file: grades.csv)
This dataset contains assessment scores in 19 core courses that have been consistently offered during the 2009 to 2024 period (15 academic years). The table registers a total of 37,053 rows (results) involving 3,640 discrete students.

Structure:
1) Student_ID: student identifier in [S00001-S04302]
2) Course_ID: course identifiers in [C101, C926]
3) Ac_Year: academic year
4) Ac_Period: academic semester (1=Fall, 2=Spring)
5) Exam_Period: examinations period (1–2 for Fall, 3–4 for Spring semester)
6) Grade: student grade in the [2.0-10.0] range

Data Preparation:
a) Only the most recent (student, course) grades are registered.
b) No cases of missing grades.

Example:
‘S00001, C532, 2016, 1, 2, 7.3’: student S00001 obtained a 7.3 grade in course C532 in exam period 2 of the Fall semester during the '2026-17' academic year.

Key Features:
a) Anonymized student and course IDs to protect critical personal and departmental data.
b) The data suffice to conduct the analysis reported in research article "Correlation as an ARM Interestingness Measure for Numeric Datasets"
DOI: 10.17632/xxxgpd98pn
title: Beyond Sentiment Analysis: A GPT-4 Multimodal Framework for Predicting Market Volatility from Earning Call Paralinguistic Cues

description: Beyond Sentiment Analysis: A GPT-4 Multimodal Framework for Predicting Market Volatility from Earning Call Paralinguistic Cues
DOI: 10.17632/xxxgpd98pn.1
title: Beyond Sentiment Analysis: A GPT-4 Multimodal Framework for Predicting Market Volatility from Earning Call Paralinguistic Cues

description: Beyond Sentiment Analysis: A GPT-4 Multimodal Framework for Predicting Market Volatility from Earning Call Paralinguistic Cues
DOI: 10.17632/2v8cjchm65
title: Supply Chain Dataset

description: It is generated dataset which is used for analysis of supply chain management.
DOI: 10.17632/2v8cjchm65.1
title: Supply Chain Dataset

description: It is generated dataset which is used for analysis of supply chain management.
DOI: 10.17632/djphcyzjg2
title: Runoff Soil Loss

description: Data pertains to the experiment wherein different tillage and soil cover practices were evaluated for soil loss and runoff
DOI: 10.17632/djphcyzjg2.2
title: Runoff Soil Loss

description: Data pertains to the experiment wherein different tillage and soil cover practices were evaluated for soil loss and runoff
DOI: 10.6084/m9.figshare.31211395
title: Base de Datos: ASD children traits

description: A10 Autism Spectrum Quotient( columns A1-A10), Social Responsiveness Scale, Age Years, Qchat_10_Score, Speech Delay/Language Disorder, Learning disorder, Genetic Disorders,Depression, Global developmental delay/intellectual disability, Social/Behavioural Issues, Childhood Autism Rating Scale, Anxiety disorder, Sex, Ethnicity, Jaundice, Family mem with ASD along with various information
DOI: 10.6084/m9.figshare.31211395.v1
title: Base de Datos: ASD children traits

description: A10 Autism Spectrum Quotient( columns A1-A10), Social Responsiveness Scale, Age Years, Qchat_10_Score, Speech Delay/Language Disorder, Learning disorder, Genetic Disorders,Depression, Global developmental delay/intellectual disability, Social/Behavioural Issues, Childhood Autism Rating Scale, Anxiety disorder, Sex, Ethnicity, Jaundice, Family mem with ASD along with various information
DOI: 10.17632/d5j8cjhj3h
title: Multilevel assessment of bisphenol A exposure in Neocaridina davidi (Decapoda, Atyidae): Impairment of gametogenesis and hormonal balance

description: Data for the related manuscript. Includes data for quantitative endpoints: histological alteration index (HAI) for gonads and vas deferens, estradiol and testosterone levels measured by ELISA, vitellogenin semi-quantification by WB.
DOI: 10.17632/d5j8cjhj3h.1
title: Multilevel assessment of bisphenol A exposure in Neocaridina davidi (Decapoda, Atyidae): Impairment of gametogenesis and hormonal balance

description: Data for the related manuscript. Includes data for quantitative endpoints: histological alteration index (HAI) for gonads and vas deferens, estradiol and testosterone levels measured by ELISA, vitellogenin semi-quantification by WB.
DOI: 10.17632/k59kb96955
title: Sentinel-1 SAR, Harmonized Landsat Sentinel (HLS) Optical, and auxiliary data

description: Analysis-ready data to train a machine learning algorithm to estimate optical vegetation indices using Sentinel-1 SAR dual polarization features and auxiliary data such as Accumulate Growing Degree Days (AGDD). This a a vector-based geographic data in a tabular format, with each row representing a crop field that has a geographic location attached to it, and the columns represents the attributes such as the SAR features of the crop polygons.
The column names for the SAR features are VV, VH, NRPB, Span, Ratio, RVI; NDVI and EVI for the optical vegetation indices; and AGDD, days-after-planting (DAP), and Digitial Elevation Model (DEM). 
Version 2 was used for this study as opposed to version 1 which covers different geographical regions.
DOI: 10.17632/k59kb96955.2
title: Sentinel-1 SAR, Harmonized Landsat Sentinel (HLS) Optical, and auxiliary data

description: Analysis-ready data to train a machine learning algorithm to estimate optical vegetation indices using Sentinel-1 SAR dual polarization features and auxiliary data such as Accumulate Growing Degree Days (AGDD). This a a vector-based geographic data in a tabular format, with each row representing a crop field that has a geographic location attached to it, and the columns represents the attributes such as the SAR features of the crop polygons.
The column names for the SAR features are VV, VH, NRPB, Span, Ratio, RVI; NDVI and EVI for the optical vegetation indices; and AGDD, days-after-planting (DAP), and Digitial Elevation Model (DEM). 
Version 2 was used for this study as opposed to version 1 which covers different geographical regions.
DOI: 10.17632/kk5fr6nstr
title: Data for: The asymmetric hydrodynamic structure of a wind-dominated river plume (JGR: Oceans)

description: This dataset contains the processed observational data used to generate the figures and quantitative analyses presented in the manuscript “The asymmetric hydrodynamic structure of a wind-dominated river plume”, accepted for publication in Journal of Geophysical Research: Oceans. The dataset includes salinity, density, and velocity fields collected along multiple transects of the Magdalena River Plume (MRP), together with time series of environmental forcing variables and salinity profiles acquired during the oceanographic cruise MSM112, which surveyed the MRP during October–November 2022. All data are provided in MATLAB (.mat) format.

1. Transect-based data files:
The main component of the dataset consists of MATLAB files named according to the transect identifiers listed in Table 1 of the manuscript (e.g., Transect_WE1.mat). These files support the construction of Figures 1, 3–6, and 8, Supplementary Figures S2 and S3, and Table 2 of the manuscript. Each transect file contains quality-controlled ADCP and CTD data, along with calculated water density, gridded onto a common horizontal–vertical grid. The data processing and interpolation procedures are described in Section 3.1 of the manuscript. Each transect file includes the following eight matrices:
- Horizontal distance along the transect (km)
- Depth (m)
- Velocity magnitude (m s⁻¹)
- Velocity direction (azimuth, degrees)
- Eastward velocity component (m s⁻¹)
- Northward velocity component (m s⁻¹)
- Salinity (g kg⁻¹)
- Density (kg m⁻³)

2. Time-series forcing data:
The file data_Figure_2.mat contains the time series used to construct Figure 2 of the manuscript. All variables are provided at their original sampling frequencies. The sources of these environmental forcing data, including the meteorological station, river discharge gauge, and tide gauge, are described in Section 3.1 of the manuscript. This file includes:
- Wind speed (m s⁻¹)
- Wind direction (azimuth, degrees)
- Freshwater discharge (m³ s⁻¹)
- Water level (m)

3. Vertical salinity profiles:
The file data_Figure_S1.mat contains vertical salinity profiles measured during transects SN-4 and WE1. The data were interpolated to a uniform vertical resolution of 0.1 m. The file includes two matrices, one for each transect, with the following structure:
- The first column corresponds to depth (m)
- The subsequent columns contain salinity profiles (g kg⁻¹), ordered spatially from north to south for transect SN-4 and from west to east for transect WE1
DOI: 10.17632/kk5fr6nstr.1
title: Data for: The asymmetric hydrodynamic structure of a wind-dominated river plume (JGR: Oceans)

description: This dataset contains the processed observational data used to generate the figures and quantitative analyses presented in the manuscript “The asymmetric hydrodynamic structure of a wind-dominated river plume”, accepted for publication in Journal of Geophysical Research: Oceans. The dataset includes salinity, density, and velocity fields collected along multiple transects of the Magdalena River Plume (MRP), together with time series of environmental forcing variables and salinity profiles acquired during the oceanographic cruise MSM112, which surveyed the MRP during October–November 2022. All data are provided in MATLAB (.mat) format.

1. Transect-based data files:
The main component of the dataset consists of MATLAB files named according to the transect identifiers listed in Table 1 of the manuscript (e.g., Transect_WE1.mat). These files support the construction of Figures 1, 3–6, and 8, Supplementary Figures S2 and S3, and Table 2 of the manuscript. Each transect file contains quality-controlled ADCP and CTD data, along with calculated water density, gridded onto a common horizontal–vertical grid. The data processing and interpolation procedures are described in Section 3.1 of the manuscript. Each transect file includes the following eight matrices:
- Horizontal distance along the transect (km)
- Depth (m)
- Velocity magnitude (m s⁻¹)
- Velocity direction (azimuth, degrees)
- Eastward velocity component (m s⁻¹)
- Northward velocity component (m s⁻¹)
- Salinity (g kg⁻¹)
- Density (kg m⁻³)

2. Time-series forcing data:
The file data_Figure_2.mat contains the time series used to construct Figure 2 of the manuscript. All variables are provided at their original sampling frequencies. The sources of these environmental forcing data, including the meteorological station, river discharge gauge, and tide gauge, are described in Section 3.1 of the manuscript. This file includes:
- Wind speed (m s⁻¹)
- Wind direction (azimuth, degrees)
- Freshwater discharge (m³ s⁻¹)
- Water level (m)

3. Vertical salinity profiles:
The file data_Figure_S1.mat contains vertical salinity profiles measured during transects SN-4 and WE1. The data were interpolated to a uniform vertical resolution of 0.1 m. The file includes two matrices, one for each transect, with the following structure:
- The first column corresponds to depth (m)
- The subsequent columns contain salinity profiles (g kg⁻¹), ordered spatially from north to south for transect SN-4 and from west to east for transect WE1