cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15268801
title: Co-UDlabs_TA_IKT-02-LTF Testing the performance of innovative inspection techniques for rising mains (sewage pressure pipes)

description: Sewage pressure pipes are undoubtedly particularly critical structures in the sewerage system. In the event of a failure, exfiltration, flooding and the associated risks for people and the environment are to be expected. In order to minimize the risk of damage or operational failure of these pipes, regular condition assessments are required. However, the inspection of wastewater pressure pipes poses a problem for many operators. A conventional CCTV condition assessment or leak test as with gravity pipelines is usually not possible due to certain boundary conditions (e.g., lack of access openings, bends, full or partial filling of the pipelines and gradient). New, innovative inspection techniques are required that provide meaningful results on the condition of the sewage pressure pipe. In recent years, some promising inspection techniques have been (further) developed. 

Within the framework of this Transnationa Access project, selected innovative inspection techniques have been examined in a test set-up for their performance and application limits. A test setup was constructed in the large-scale test facility of IKT - Institute for Underground Infrastructure, consisting of a system of wastewater pumps and pressure pipes, with typical damage patterns to be detected by the inspection techniques. Different pipe materials were installed in sections of the test setup to determine their influence on the different inspection techniques. 

This is data in form of the inspection results, if defects could be detected by different kind of inspection techniques. Essentially, data is kept on the actual type, position, dimension and size of the defect and anomalies – applied in the experimental setup – and result data from the inspections provided by the participants, namely the presum type, position, dimension and size of these defects. The raw data from the inspection (e.g. data from ultrasonic sensors, acoustic sensors) was analyzed by the inspectors to describe type, position, dimension and size of the defect and anomalies. However, this raw data is not part of this data as it is managed by the respective providers of the inspection techniques. This raw data was not made available. Beyond that this database presents requested data on the area of application of the inspection systems, based on manufacturer´s information.  

This transnational project is part of the EU funded project Co-UDLABS - Collaborative Urban Drainage research lab communities and was initiated by the Dutch umbrella organization of wastewater companies Stichting RIONED.

The authors acknowledge financial support from the European Union under the Horizon 2020 program within a contract for Integrating Activities for Starting Communities (Ref. 101008626)
DOI: 10.5281/zenodo.15268802
title: Co-UDlabs_TA_IKT-02-LTF Testing the performance of innovative inspection techniques for rising mains (sewage pressure pipes)

description: Sewage pressure pipes are undoubtedly particularly critical structures in the sewerage system. In the event of a failure, exfiltration, flooding and the associated risks for people and the environment are to be expected. In order to minimize the risk of damage or operational failure of these pipes, regular condition assessments are required. However, the inspection of wastewater pressure pipes poses a problem for many operators. A conventional CCTV condition assessment or leak test as with gravity pipelines is usually not possible due to certain boundary conditions (e.g., lack of access openings, bends, full or partial filling of the pipelines and gradient). New, innovative inspection techniques are required that provide meaningful results on the condition of the sewage pressure pipe. In recent years, some promising inspection techniques have been (further) developed. 

Within the framework of this Transnationa Access project, selected innovative inspection techniques have been examined in a test set-up for their performance and application limits. A test setup was constructed in the large-scale test facility of IKT - Institute for Underground Infrastructure, consisting of a system of wastewater pumps and pressure pipes, with typical damage patterns to be detected by the inspection techniques. Different pipe materials were installed in sections of the test setup to determine their influence on the different inspection techniques. 

This is data in form of the inspection results, if defects could be detected by different kind of inspection techniques. Essentially, data is kept on the actual type, position, dimension and size of the defect and anomalies – applied in the experimental setup – and result data from the inspections provided by the participants, namely the presum type, position, dimension and size of these defects. The raw data from the inspection (e.g. data from ultrasonic sensors, acoustic sensors) was analyzed by the inspectors to describe type, position, dimension and size of the defect and anomalies. However, this raw data is not part of this data as it is managed by the respective providers of the inspection techniques. This raw data was not made available. Beyond that this database presents requested data on the area of application of the inspection systems, based on manufacturer´s information.  

This transnational project is part of the EU funded project Co-UDLABS - Collaborative Urban Drainage research lab communities and was initiated by the Dutch umbrella organization of wastewater companies Stichting RIONED.

The authors acknowledge financial support from the European Union under the Horizon 2020 program within a contract for Integrating Activities for Starting Communities (Ref. 101008626)
DOI: 10.5281/zenodo.15280934
title: Co-UDlabs_TA_IKT-02-LTF Testing the performance of innovative inspection techniques for rising mains (sewage pressure pipes)

description: Sewage pressure pipes are undoubtedly particularly critical structures in the sewerage system. In the event of a failure, exfiltration, flooding and the associated risks for people and the environment are to be expected. In order to minimize the risk of damage or operational failure of these pipes, regular condition assessments are required. However, the inspection of wastewater pressure pipes poses a problem for many operators. A conventional CCTV condition assessment or leak test as with gravity pipelines is usually not possible due to certain boundary conditions (e.g., lack of access openings, bends, full or partial filling of the pipelines and gradient). New, innovative inspection techniques are required that provide meaningful results on the condition of the sewage pressure pipe. In recent years, some promising inspection techniques have been (further) developed. 

Within the framework of this Transnationa Access project, selected innovative inspection techniques have been examined in a test set-up for their performance and application limits. A test setup was constructed in the large-scale test facility of IKT - Institute for Underground Infrastructure, consisting of a system of wastewater pumps and pressure pipes, with typical damage patterns to be detected by the inspection techniques. Different pipe materials were installed in sections of the test setup to determine their influence on the different inspection techniques. 

This is data in form of the inspection results, if defects could be detected by different kind of inspection techniques. Essentially, data is kept on the actual type, position, dimension and size of the defect and anomalies – applied in the experimental setup – and result data from the inspections provided by the participants, namely the presum type, position, dimension and size of these defects. The raw data from the inspection (e.g. data from ultrasonic sensors, acoustic sensors) was analyzed by the inspectors to describe type, position, dimension and size of the defect and anomalies. However, this raw data is not part of this data as it is managed by the respective providers of the inspection techniques. This raw data was not made available. Beyond that this database presents requested data on the area of application of the inspection systems, based on manufacturer´s information.  

This transnational project is part of the EU funded project Co-UDLABS - Collaborative Urban Drainage research lab communities and was initiated by the Dutch umbrella organization of wastewater companies Stichting RIONED.

The authors acknowledge financial support from the European Union under the Horizon 2020 program within a contract for Integrating Activities for Starting Communities (Ref. 101008626)
DOI: 10.17632/cfz68tkwfk.1
title: Mendeley_AM_MPEA_corrosion_database

description: The dataset includes information regarding the corrosion of additive-manufactured MPEAs. It was compiled for a critical review paper.
The dataset has been processed to allow machine learning operations. This includes parsing of alloy names/compositions into their individual elemental makeup (in atomic fraction).
Input data includes alloy composition, test electrolyte type, test electrolyte concentration.
Output data includes corrosion potential, pitting potential, and corrosion current density.
DOI: 10.17632/cfz68tkwfk.2
title: Additively Manufactured Multi Principal Element Alloy Corrosion Database

description: The dataset includes information regarding the corrosion of additive-manufactured MPEAs. It was compiled for a critical review paper.
The dataset has been processed to allow machine learning operations. This includes parsing of alloy names/compositions into their individual elemental makeup (in atomic fraction).
Input data includes alloy composition, test electrolyte type, test electrolyte concentration.
Output data includes corrosion potential, pitting potential, and corrosion current density.
DOI: 10.17632/cfz68tkwfk.3
title: Additively Manufactured Multi Principal Element Alloy Corrosion Database

description: The dataset includes information regarding the corrosion of additively manufactured (AM) multi principal element alloys (MPEAs). It was compiled for a critical review paper.

The dataset has been processed to allow machine learning (ML) operations. This includes parsing of alloy names/compositions into their individual elemental makeup (in atomic fraction) and calculating the entropy of mixing and valence electron concentration (VEC).

This database includes alloy composition, phase type, AM processing, test electrolyte type and concentration, entropy of mixing, VEC, corrosion potential, pitting potential, and corrosion current density.
DOI: 10.17632/j44ydhhbfs
title: Individualized Risk Prediction of Nodal Metastasis in Cutaneous Squamous Cell Carcinoma

description: PRISMA flow diagram, risk of bias PROBAST table with references, and search strategy.
DOI: 10.17632/j44ydhhbfs.1
title: Individualized Risk Prediction of Nodal Metastasis in Cutaneous Squamous Cell Carcinoma

description: PRISMA flow diagram, risk of bias PROBAST table with references, and search strategy.
DOI: 10.6084/m9.figshare.28868867.v1
title: glacier foreland microbiome

description: glacier foreland microbiome:The file all_marked_mOTUs_of_MAGs.zip contained all glacier foreland mOTUsThe file GFVD_quality_summary.filter10k_95-80_1500.zip contained all glacier foreland vOTUs
DOI: 10.15468/dl.hwexeb
title: Occurrence Download

description: A dataset containing 26602 records in GBIF matching the query:
SELECT
 '14' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -37.42857426825602
 AND decimalLatitude &lt;= -33.06103686093294
 AND decimalLongitude &gt;= 16.698349630102356
 AND decimalLongitude &lt;= 23.025648717621866
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 26602 records were derived from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002897-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvpkb8
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lotus campylocladus hillebrandii"
 ]
}

 The dataset includes 303 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002902-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bp5qzs
title: Occurrence Download

description: A dataset containing 411 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Lithobates berlandieri [GBIF Backbone Taxonomy])",
 "StateProvince is one of (New Mexico)"
 ]
 }
 ]
}

 The dataset includes 411 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002901-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18328318
title: Dataset of: "Meshless Super-Resolution of Scattered Data via constrained Radial Basis Functions and K-Nearest-Neighbors-Driven Densification"

description: Dataset of: "Meshless Super-Resolution of Scattered Data via constrained Radial Basis Functions and K-Nearest-Neighbors-Driven Densification". Method to obtain high-resolution flow fields starting from scattered data without the need of a mesh.

The codes processing data here are: https://github.com/erc-nextflow/MESHLESS-KNN-PTV

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).
DOI: 10.5281/zenodo.18328319
title: Dataset of: "Meshless Super-Resolution of Scattered Data via constrained Radial Basis Functions and K-Nearest-Neighbors-Driven Densification"

description: Dataset of: "Meshless Super-Resolution of Scattered Data via constrained Radial Basis Functions and K-Nearest-Neighbors-Driven Densification". Method to obtain high-resolution flow fields starting from scattered data without the need of a mesh.

The codes processing data here are: https://github.com/erc-nextflow/MESHLESS-KNN-PTV

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).
DOI: 10.5281/zenodo.18327940
title: De-identified minimal dataset supporting: Association between vitamin D status and circulating myokines in children

description: This repository contains a minimal, de-identified dataset underlying the study“Association between vitamin D status and circulating myokines (irisin, myostatin,and myonectin) in children: a cross-sectional study”.

The dataset includes demographic characteristics, anthropometric indices,biochemical parameters (including serum 25-hydroxyvitamin D and parathyroid hormone),and circulating myokine measurements.

All data have been fully anonymized. No direct or indirect personal identifiersare included. The dataset is sufficient to reproduce all analyses reported in theassociated manuscript and complies with ethical and legal requirements for data sharing.
DOI: 10.5281/zenodo.18327941
title: De-identified minimal dataset supporting: Association between vitamin D status and circulating myokines in children

description: This repository contains a minimal, de-identified dataset underlying the study“Association between vitamin D status and circulating myokines (irisin, myostatin,and myonectin) in children: a cross-sectional study”.

The dataset includes demographic characteristics, anthropometric indices,biochemical parameters (including serum 25-hydroxyvitamin D and parathyroid hormone),and circulating myokine measurements.

All data have been fully anonymized. No direct or indirect personal identifiersare included. The dataset is sufficient to reproduce all analyses reported in theassociated manuscript and complies with ethical and legal requirements for data sharing.
DOI: 10.6084/m9.figshare.30904049.v1
title: supplementary data sets for Poli et. al. (MS# C-00841-2025R1)

description: <i>This study identifies a previously unrecognized cardiac neurovascular unit in which sympathetic fibers lie in close anatomical apposition to capillary endothelial cells. Disruption of this cell-to-cell interface­ - during aging, pharmacologic sympathectomy, or following heart transplantation - is associated with capillary remodeling and cardiomyocyte atrophy. These findings broaden current concepts of cardiac autonomic regulation and highlight the coronary microcirculation as a structural component shaped by sympathetic integrity.</i>
DOI: 10.5281/zenodo.18329292
title: On determination of aerodynamic properties of morphing wing by numerical simulations
DOI: 10.5281/zenodo.18329293
title: On determination of aerodynamic properties of morphing wing by numerical simulations
DOI: 10.15468/dl.3z5ps9
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GadmGid is one of (FRA.11_1, FRA.1_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudunio auricularius"
 ]
}

 The dataset includes 115 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002903-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18322905
title: UPR Assemblies v1

description: These files contain genome assemblies from the UAE Arab Pangenome Reference, as published in Nature.

Assemblies are provided in AGC (Assembled Genome Compressor) format and were compressed relative to the T2T-CHM13 v2.0 reference genome, which is the required reference for extraction and viewing.

AGC tool: https://github.com/refresh-bio/agc
DOI: 10.5281/zenodo.18322904
title: UPR Assemblies v1

description: These files contain genome assemblies from the UAE Arab Pangenome Reference, as published in Nature.

Assemblies are provided in AGC (Assembled Genome Compressor) format and were compressed relative to the T2T-CHM13 v2.0 reference genome, which is the required reference for extraction and viewing.

AGC tool: https://github.com/refresh-bio/agc
DOI: 10.17632/5vg72jgbcs
title: 3D-EBSD and DCT datasets of a fully recrystallized pure Fe (BCC) and a chill-cast, modified E309L austenitic stainless steel (FCC)

description: This dataset accompanies the manuscript “Quantitative comparison of laboratory-based diffraction contrast tomography (DCT) and serial-section three-dimensional electron backscatter diffraction (3D-EBSD) for microstructural characterization of pure Fe and a modified E309L stainless steel” by Mehdi Mosayebi, Pardis Mohammadpour, Pierre-Antony Deschênes, Laurent Tôn-Thât, Daniel Paquet, Andre B Phillion, and Nabil Bassim, submitted to Materials Characterization (In Review). The dataset provides the experimental data and processing workflows used to quantitatively compare non-destructive laboratory-based DCT with destructive serial-section 3D-EBSD for three-dimensional microstructural characterization.

The dataset includes the complete 3D-EBSD and LabDCT data for a fully recrystallized pure iron and a chill-cast, modified E309L austenitic stainless steel, together with the Dream.3D processing pipelines used for segmentation, meshing, and quantitative grain- and grain-boundary–level analyses. These data support the evaluation of grain morphology, size and shape statistics, crystallographic orientation distributions, and five-degree-of-freedom (5DOF) grain boundary character distributions presented in the associated manuscript.

Users of this dataset are kindly requested to cite the associated manuscript and acknowledge the authors if the data or processing workflows are used in their own research.

The files include processed three-dimensional label volumes derived from both 3D-EBSD and LabDCT, Dream.3D pipeline files documenting the full data-processing workflow, and derived grain boundary datasets used for statistical analysis. The Dream.3D pipelines capture all key steps, including data import, segmentation, cleanup, surface meshing, and grain boundary character extraction.

The software versions used in generating this dataset are: Dream3D v6.x.

The dataset structure is as follows:
Processed 3D-EBSD and LabDCT label volumes in HDF5 format
Dream3D pipeline files (.json) documenting the complete processing workflow

This dataset is intended to serve as a reproducible benchmark for researchers interested in three-dimensional crystallographic characterization and in assessing the capabilities and limitations of laboratory-based DCT relative to serial-section 3D-EBSD.
DOI: 10.17632/5vg72jgbcs.1
title: 3D-EBSD and DCT datasets of a fully recrystallized pure Fe (BCC) and a chill-cast, modified E309L austenitic stainless steel (FCC)

description: This dataset accompanies the manuscript “Quantitative comparison of laboratory-based diffraction contrast tomography (DCT) and serial-section three-dimensional electron backscatter diffraction (3D-EBSD) for microstructural characterization of pure Fe and a modified E309L stainless steel” by Mehdi Mosayebi, Pardis Mohammadpour, Pierre-Antony Deschênes, Laurent Tôn-Thât, Daniel Paquet, Andre B Phillion, and Nabil Bassim, submitted to Materials Characterization (In Review). The dataset provides the experimental data and processing workflows used to quantitatively compare non-destructive laboratory-based DCT with destructive serial-section 3D-EBSD for three-dimensional microstructural characterization.

The dataset includes the complete 3D-EBSD and LabDCT data for a fully recrystallized pure iron and a chill-cast, modified E309L austenitic stainless steel, together with the Dream.3D processing pipelines used for segmentation, meshing, and quantitative grain- and grain-boundary–level analyses. These data support the evaluation of grain morphology, size and shape statistics, crystallographic orientation distributions, and five-degree-of-freedom (5DOF) grain boundary character distributions presented in the associated manuscript.

Users of this dataset are kindly requested to cite the associated manuscript and acknowledge the authors if the data or processing workflows are used in their own research.

The files include processed three-dimensional label volumes derived from both 3D-EBSD and LabDCT, Dream.3D pipeline files documenting the full data-processing workflow, and derived grain boundary datasets used for statistical analysis. The Dream.3D pipelines capture all key steps, including data import, segmentation, cleanup, surface meshing, and grain boundary character extraction.

The software versions used in generating this dataset are: Dream3D v6.x.

The dataset structure is as follows:
Processed 3D-EBSD and LabDCT label volumes in HDF5 format
Dream3D pipeline files (.json) documenting the complete processing workflow

This dataset is intended to serve as a reproducible benchmark for researchers interested in three-dimensional crystallographic characterization and in assessing the capabilities and limitations of laboratory-based DCT relative to serial-section 3D-EBSD.