cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15805195
title: Room temperature magnetic vortices in the van der Waals magnet Fe5 GeTe2

description: Dataset related to the publication arXiv:2507.03454.
DOI: 10.5281/zenodo.15805196
title: Room temperature magnetic vortices in the van der Waals magnet Fe5 GeTe2

description: Dataset related to the publication arXiv:2507.03454.
DOI: 10.17632/r264y3mhdw
title: Supplemental Data for Pain & Itch in CLE

description: Supplemental Figure 1. Pain, Itch, and Activity Correlations in Cutaneous Lupus Erythematosus Subtypes. A: Spearman’s rank-order correlation between CLASI-A scores and VAS itch scores across CLE and DLE subtypes. B: Spearman’s rank-order correlation between CLASI-A scores and VAS pain scores across CLE and DLE subtypes. C: Spearman’s rank-order correlation between VAS pain and VAS itch scores across CLE and DLE subtypes. VAS = visual analog scale, ACLE-G = generalized acute cutaneous lupus erythematous, ACLE-L = localized acute cutaneous lupus erythematous, DLE = discoid lupus erythematous, LET = tumid lupus erythematous, DLE-G = generalized discoid lupus erythematous, DLE-L = localized discoid lupus erythematous.
DOI: 10.17632/r264y3mhdw.1
title: Supplemental Data for Pain & Itch in CLE

description: Supplemental Figure 1. Pain, Itch, and Activity Correlations in Cutaneous Lupus Erythematosus Subtypes. A: Spearman’s rank-order correlation between CLASI-A scores and VAS itch scores across CLE and DLE subtypes. B: Spearman’s rank-order correlation between CLASI-A scores and VAS pain scores across CLE and DLE subtypes. C: Spearman’s rank-order correlation between VAS pain and VAS itch scores across CLE and DLE subtypes. VAS = visual analog scale, ACLE-G = generalized acute cutaneous lupus erythematous, ACLE-L = localized acute cutaneous lupus erythematous, DLE = discoid lupus erythematous, LET = tumid lupus erythematous, DLE-G = generalized discoid lupus erythematous, DLE-L = localized discoid lupus erythematous.
DOI: 10.15468/dl.jwhdbx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Dendrelaphis punctulatus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021130-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.15781620
title: SKG-IF compliant OpenAIRE Dataset for SciLake cancer research pilot

description: This dataset is related to the part of the OpenAIRE Graph relevant for the cancer research pilot. The model of the dataset is compliant with the SKG-IF specification version 1.0.1. The data are from the OpenAIRE graph released on 2025-06-04
description: This dataset is related to the OpenAIRE Graph produced on June 04 2025. There is no corresponding OpenAIRE dataset released.
DOI: 10.15468/dl.5kwqcn
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Cinnamomum javanicum",
 "Year 1950-2025"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021127-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c859f6y5bc.1
title: Systemic immune profiling identifies elevated MRGPRX2 with a distinct inflammatory signature in chronic pruritus of unknown origin

description: Supplemental Figure 1 – Serum IgE and MRGPRX2 Levels
Boxplots comparing serum IgE and MRGPRX2 concentrations among Chronic Pruritus of Unknown Origin (CPUO), Atopic Dermatitis (AD), and Healthy Controls (HC). Demonstrates elevated MRGPRX2 in CPUO and elevated IgE in AD. Statistical comparisons included.

Supplemental Figure 2 – Correlation of MRGPRX2 with SCF and Eotaxin
Scatter plots showing Pearson correlations between MRGPRX2 expression and SCF (stem cell factor) and eotaxin levels in CPUO patients. Includes confidence intervals and linear regression lines.

Supplemental Table 1 – Age-Adjusted Regression Analysis
Linear regression models evaluating the association between age and immune biomarkers (MRGPRX2 and IgE) in CPUO and AD groups. Includes regression coefficients, confidence intervals, p-values, and R².
DOI: 10.15468/dl.mf22v8
title: Occurrence Download

description: A dataset containing 35602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lysichiton americanus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 35602 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021129-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzq4nc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Dendrelaphis punctulatus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021132-250717081556266/datasets/export for details.
DOI: 10.17632/kmcjm258xw.1
title: Impact of cyanobacteria on zinc and carbon sequestration in hydrous Mg carbonates

description: Datasheets related to the research paper: Impact of cyanobacteria on zinc and carbon sequestration in hydrous Mg carbonates from A. Yettou et al.
DOI: 10.15468/dl.kbjzyf
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Dendrelaphis punctulatus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021131-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rz5kppgvff
title: Synthetic acoustic echo-signal intensity distributions for different types of defects

description: The dataset was composed by carrying out 3000 sound propagation simulations with 4 acoustic emitters generating pulses and 4 sensors measuring acoustic pressure. The input signals are analyzed using the acoustic energy mapping algorithm based on beamforming techniques, that allows to reconstruct the two-dimensional echo-signal intensity map. Each map is segmented using thresholding and connected component search. Object extraction forms the presented dataset. Each object is placed on the 500x500 pixel canvas, so the scale is preserved. The dataset consists of acoustic echo-signal intensity distribution visualizations for five types of objects. Three types are the defects: "cavern", "corrosion" and "crack". One other type is "mixed" which includes the cases of visualization merging between two closely placed defects. The last type is "noise", which includes all other acoustic map objects that do not correspond to defect types or "mixed".
DOI: 10.25345/c5v40kb9h
title: MassIVE MSV000098572 - MZML files for "Improved Mass Analysis of Proteins and Protein Complexes Present in Common Biological Buffers and Physiological Concentrations of NaCl Using Solution Additives Delivered by Theta Emitters "
title: Native ESI-MS spectra collected from protein solutions containing biological buffers and physiological NaCl concentrations (NaCl concentrations are relevant to extracellular levels). The publication can be found in Analytical Chemistry with the title: Improved Mass Analysis of Proteins and Protein Complexes Present in Common Biological Buffers and Physiological Concentrations of NaCl Using Solution Additives Delivered by Theta Emitters. Authors: Baez Bolivar, E.G., McLuckey, S.A. 2025. See the supplementary file attached for instructions on data processing (integration times).
DOI: 10.17632/rz5kppgvff.1
title: Synthetic acoustic echo-signal intensity distributions for different types of defects

description: The dataset was composed by carrying out 3000 sound propagation simulations with 4 acoustic emitters generating pulses and 4 sensors measuring acoustic pressure. The input signals are analyzed using the acoustic energy mapping algorithm based on beamforming techniques, that allows to reconstruct the two-dimensional echo-signal intensity map. Each map is segmented using thresholding and connected component search. Object extraction forms the presented dataset. Each object is placed on the 500x500 pixel canvas, so the scale is preserved. The dataset consists of acoustic echo-signal intensity distribution visualizations for five types of objects. Three types are the defects: "cavern", "corrosion" and "crack". One other type is "mixed" which includes the cases of visualization merging between two closely placed defects. The last type is "noise", which includes all other acoustic map objects that do not correspond to defect types or "mixed".
DOI: 10.17632/87ykcvn58x
title: Jiang_2025_rhodochrosite_preci_GCA_Data

description: Data for all figures in the manuscript by Jiang et al to be published by Geochimica et Cosmochimica Acta as "Precipitation kinetics and C isotope fractionation of rhodochrosite at 298.15K."
DOI: 10.5281/zenodo.15853457
title: Vol. 1 - Spoke 8 IUAV - Maragno Romanato Longato

description: The folder is structured as a geospatial database organized for the project iNest 2023 - Spoke 8 IUAV - Volume 1 - Chapter 4.

It contains two main types of geospatial data:

 

1. Raster (TIFF)

Superamenti_Temperatura_32C_2013-2023_%_su_47tiles.tif

Likely represents the percentage of occurrences exceeding a temperature threshold of 32°C over the period from 2013 to 2023, compiled across a collection of 47 tiles gathered during the observation period.

 

2. Vector (SHP) organized into thematic folders:

PGRA Vulnerability Data

Vector data related to the Flood Risk Management Plan.

SLR Vulnerability Data Adriaclim

Data related to territorial vulnerability linked to Sea Level Rise (SLR), derived from the Adriaclim project by Antonioli et al. 2017 (https://doi.org/10.1016/j.quascirev.2016.12.021).

UniTS Coastal Vulnerability Data

Dataset regarding coastal vulnerability prepared or provided by the University of Trieste - Department of Mathematics, Informatics, and Geosciences - Prof. Giorgio Fontolan.

Isochrones High and Low Season

Isochrones indicating varying travel times or accessibility during high and low seasons, generated using the Open Route Service GIS plugin.

Attraction Poles

Point or polygonal features representing urban or territorial attractors (e.g., tourist points, centers of interest), obtained using Overpass Turbo from OpenStreetMap.

Natura 2000 Network

Data related to the European Natura 2000 network, comprising protected areas for biodiversity and specific habitats.

shape_rete_mob_sp8_PC_20230515

Contains geospatial shapefiles updated in May 2023, covering territorial mobility in the Friuli Venezia Giulia region. The data includes road, rail, cycling, and forest networks, public transportation and intermodal infrastructure (airports, ports, logistics hubs, railway stations), navigable maritime and lagoon routes, sustainable mobility services (charging stations), and planning indications for future mobility network interventions.

Mobility System

Data representing the overall and general territorial mobility system of wide-area (road, maritime, cycling, etc.).

Territorial System

Data describing general territorial aspects, such as infrastructure, land use, or administrative divisions.

Tinitaly DEM 10m

Digital Elevation Model (DEM) with a spatial resolution of 10 meters (Source: Tinitaly).

Urban_Atlas_2018_shp

Shapefile derived from the Urban Atlas 2018, containing data on urban land use and land cover.
DOI: 10.5281/zenodo.15853458
title: Vol. 1 - Spoke 8 IUAV - Maragno Romanato Longato

description: The folder is structured as a geospatial database organized for the project iNest 2023 - Spoke 8 IUAV - Volume 1 - Chapter 4.

It contains two main types of geospatial data:

 

1. Raster (TIFF)

Superamenti_Temperatura_32C_2013-2023_%_su_47tiles.tif

Likely represents the percentage of occurrences exceeding a temperature threshold of 32°C over the period from 2013 to 2023, compiled across a collection of 47 tiles gathered during the observation period.

 

2. Vector (SHP) organized into thematic folders:

PGRA Vulnerability Data

Vector data related to the Flood Risk Management Plan.

SLR Vulnerability Data Adriaclim

Data related to territorial vulnerability linked to Sea Level Rise (SLR), derived from the Adriaclim project by Antonioli et al. 2017 (https://doi.org/10.1016/j.quascirev.2016.12.021).

UniTS Coastal Vulnerability Data

Dataset regarding coastal vulnerability prepared or provided by the University of Trieste - Department of Mathematics, Informatics, and Geosciences - Prof. Giorgio Fontolan.

Isochrones High and Low Season

Isochrones indicating varying travel times or accessibility during high and low seasons, generated using the Open Route Service GIS plugin.

Attraction Poles

Point or polygonal features representing urban or territorial attractors (e.g., tourist points, centers of interest), obtained using Overpass Turbo from OpenStreetMap.

Natura 2000 Network

Data related to the European Natura 2000 network, comprising protected areas for biodiversity and specific habitats.

shape_rete_mob_sp8_PC_20230515

Contains geospatial shapefiles updated in May 2023, covering territorial mobility in the Friuli Venezia Giulia region. The data includes road, rail, cycling, and forest networks, public transportation and intermodal infrastructure (airports, ports, logistics hubs, railway stations), navigable maritime and lagoon routes, sustainable mobility services (charging stations), and planning indications for future mobility network interventions.

Mobility System

Data representing the overall and general territorial mobility system of wide-area (road, maritime, cycling, etc.).

Territorial System

Data describing general territorial aspects, such as infrastructure, land use, or administrative divisions.

Tinitaly DEM 10m

Digital Elevation Model (DEM) with a spatial resolution of 10 meters (Source: Tinitaly).

Urban_Atlas_2018_shp

Shapefile derived from the Urban Atlas 2018, containing data on urban land use and land cover.
DOI: 10.17632/87ykcvn58x.1
title: Jiang_2025_rhodochrosite_preci_GCA_Data

description: Data for all figures in the manuscript by Jiang et al to be published by Geochimica et Cosmochimica Acta as "Precipitation kinetics and C isotope fractionation of rhodochrosite at 298.15K."
DOI: 10.17632/xzzvjk72w5
title: The Purring Microbiome: A Scientometric Analysis of Microbial Research in Domestic Cats

description: Data used for a scientometric analysis of studies about domestic cat microbiome
DOI: 10.17632/xzzvjk72w5.1
title: The Purring Microbiome: A Scientometric Analysis of Microbial Research in Domestic Cats

description: Data used for a scientometric analysis of studies about domestic cat microbiome
DOI: 10.17632/2yjfjztcr9
title: IMPACT OF COMPONENT SIZE AND LENGTH ON BIAS

description: Research Hypotheses
The study tested two hypotheses: (1) Whole number bias persists in children and adults even with comparable equivalent fraction knowledge, with children showing stronger bias. (2) Component size (numerator/denominator magnitudes) and string length (number of characters, e.g., "1/10" vs. "10/100") jointly drive this bias, with string length amplifying it.
Data Collection
Participants: 37 fifth graders (M=11.05) and 34 adults (M=20.15) from China, with prior fraction learning.

Experiments:

Exp 1: Equivalent fraction knowledge task (40 trials: 20 true/false) and magnitude comparison task (40 trials: 20 congruent/incongruent, where congruent = larger components → larger fraction). Measured accuracy (ACC) and response time (RT).
Exp 2: 2 weeks later, same participants completed 40 comparison trials manipulating string length (same/different) and congruency.
Key Results
Exp 1: Similar accuracy in equivalent fraction knowledge (children: 97.77%; adults: 96.03%), but children slower (4.75s vs. 3.44s). In comparisons, both groups took longer in incongruent trials (children: 18.45s vs. 11.89s; adults: 7.57s vs. 5.80s), with children’s bias larger (6.56s vs. 1.78s).
Exp 2: Both groups had longer RT in incongruent trials, regardless of string length. Bias was larger with different string lengths (children: 12.42s vs. 8.14s; adults: 3.95s vs. 1.82s), and children’s overall bias was greater.
Interpretation
Bias stems from processing habits, not knowledge deficits. Component size and string length jointly affect judgments, with string length amplifying bias. Children are more susceptible due to immature inhibition of irrelevant cues.

Implications: Teach automated equivalent fraction processing, address visual cues like string length, and enhance inhibitory control in fraction instruction.
DOI: 10.17632/2yjfjztcr9.1
title: IMPACT OF COMPONENT SIZE AND LENGTH ON BIAS

description: Research Hypotheses
The study tested two hypotheses: (1) Whole number bias persists in children and adults even with comparable equivalent fraction knowledge, with children showing stronger bias. (2) Component size (numerator/denominator magnitudes) and string length (number of characters, e.g., "1/10" vs. "10/100") jointly drive this bias, with string length amplifying it.
Data Collection
Participants: 37 fifth graders (M=11.05) and 34 adults (M=20.15) from China, with prior fraction learning.

Experiments:

Exp 1: Equivalent fraction knowledge task (40 trials: 20 true/false) and magnitude comparison task (40 trials: 20 congruent/incongruent, where congruent = larger components → larger fraction). Measured accuracy (ACC) and response time (RT).
Exp 2: 2 weeks later, same participants completed 40 comparison trials manipulating string length (same/different) and congruency.
Key Results
Exp 1: Similar accuracy in equivalent fraction knowledge (children: 97.77%; adults: 96.03%), but children slower (4.75s vs. 3.44s). In comparisons, both groups took longer in incongruent trials (children: 18.45s vs. 11.89s; adults: 7.57s vs. 5.80s), with children’s bias larger (6.56s vs. 1.78s).
Exp 2: Both groups had longer RT in incongruent trials, regardless of string length. Bias was larger with different string lengths (children: 12.42s vs. 8.14s; adults: 3.95s vs. 1.82s), and children’s overall bias was greater.
Interpretation
Bias stems from processing habits, not knowledge deficits. Component size and string length jointly affect judgments, with string length amplifying bias. Children are more susceptible due to immature inhibition of irrelevant cues.

Implications: Teach automated equivalent fraction processing, address visual cues like string length, and enhance inhibitory control in fraction instruction.
DOI: 10.17632/dz5348hs66
title: High flexibility impedes evolutionary divergence of behavioral phenotype

description: Analysis data and code, along with additional supplementary materials for this manuscript include: 
Figure01_ScriptData：An overview of the laboratory experiments used to measure the flexibility of bat echolocation signals, along with the 3D positional data and the code.
Figure02_ScriptData：This dataset includes the raw data and scripts used for the analysis of bat echolocation signal flexibility in Pratt’s roundleaf bat. The data consist of measurements of call amplitude and frequency in different experimental conditions, including foraging tasks, foraging in noise, and foraging or orientation tasks in clutter. 
Figure03_ScriptData：Mathematical modeling of the functional significance of adjusting call amplitude and call frequency on the echolocation range of bats.
Figure04_ScriptData：A comparative analysis of bat echolocation acoustic parameters across three distinct foraging habitats.
Figure05_ScriptData：The data for constructing the phylogenetic tree and performing phylogenetic signal analysis based on the distribution of call frequency, call amplitude, and primary foraging habitat across 56 species of echolocating bats.
Figure06_ScriptData: This dataset and code are based on an evolutionary model analyzing the paradoxical relationship between phenotypic flexibility and adaptation.
FigureS1-5_ScriptData：The MATLAB scripts and datasets used in the supplementary text to generate supplementary figures 1 to 5.
TableS1-6_RCodes: The folder contains the R scripts and models used to analyze the effects of foraging phases, noise levels, echolocation tasks, and habitat structure on bat echolocation calls.
DOI: 10.15468/dl.eyqbqz
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021135-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.