cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14945584
title: Data set for: "Adhesive contact dynamics determines rheology and flow structure in wetted hydrogel packings"

description: The uploaded dataset contains all the necessary files for reproducing the analyses and figures presented in our study on the "Adhesive contact dynamics determines rheology and flow structure in wetted hydrogel packings". The folder includes raw experimental data, processed data, and MRI images obtained from Magnetic Resonance Imaging experiments. Additionally, it contains MATLAB scripts used for data analysis, visualization, and figure generation. Specifically, the dataset features hydrogel particle displacement data from MRI scans, force-distance measurements from indentation experiments, and scripts for processing and plotting results. The purpose of this dataset is to provide a comprehensive resource for understanding the role of capillary stresses and cohesive forces in hydrogel particle flow, linking micro-scale liquid bridge formation to macro-scale rheology. These data contribute to advancing knowledge in granular physics, soft matter research, and material flow behavior under cohesive interactions.
DOI: 10.5281/zenodo.14946654
title: BlueRealm

description: BlueRealm Underwater Image Dataset

Dataset Metadata

Name: BlueRealm

Description: A comprehensive dataset designed for training and evaluating underwater image enhancement and restoration methods.

Purpose: Provide a diverse collection of underwater imagery for developing and testing algorithms related to underwater image restoration.

Dataset Composition:



Combined Dataset Size: 6,000 images (after augmentation).Original Dataset Size: 3,010 images.



2,102 underwater images from a GoPro camera.

Datasets from (Akkaynak & Treibitz, 2019) and (Li et al., 2019).

Video frames captured by a mini-ROV camera.



Image Characteristics:



Diverse underwater environments, depths, and lighting conditions.

Includes images with a color chart for accurate quality assessment.

Video frames from an ROV camera for evaluating real-time processing.



Data Augmentation: The original dataset was augmented to 6,000 images using random rotations and flips.

Reference Data: Images corrected using SeaThru method (Akkaynak & Treibitz, 2019) are provided as reference data for training and evaluation.


Data Acquisition:



GoPro camera.

Mini-ROV camera.

Publicly available datasets from previous studies.


Preprocessing:



SeaThru method applied to generate reference corrected images.

Augmentation via rotations and flips.


Availability:

The proprietary dataset (GoPro and mini ROV images) is publicly available at this link:

BlueRealm dataset

Citation:

The BlueRealm dataset has been published in the context of the following work:

C. Antoniou, S. Spanos, S. Vellas, V. Ntouskos, K. Karantzalos, (2024). StreamUR: Physics-informed Near Real-Time Underwater Image Restoration. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.DOI: 10.5194/isprs-archives-XLVIII-3-2024-1-2024

Also cite the original datasets from (Akkaynak & Treibitz, 2019) and (Li et al., 2019), if applicable.

Contact:

Christos Antoniou - chrant.mail at gmail.com

Sotiris Spanos - spanossotiris1998 at gmail.com 

Valsamis Ntouskos - valsamis.ntouskos at unimercatorum.it; ntouskos at mail.ntua.gr

References:

Akkaynak, Derya, and Tali Treibitz. "Sea-thru: A method for removing water from underwater images." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019.

Li, Chongyi, et al. "An underwater image enhancement benchmark dataset and beyond." IEEE transactions on image processing 29 (2019): 4376-4389.
DOI: 10.5281/zenodo.14946655
title: BlueRealm

description: BlueRealm Underwater Image Dataset

Dataset Metadata

Name: BlueRealm

Description: A comprehensive dataset designed for training and evaluating underwater image enhancement and restoration methods.

Purpose: Provide a diverse collection of underwater imagery for developing and testing algorithms related to underwater image restoration.

Dataset Composition:



Combined Dataset Size: 6,000 images (after augmentation).Original Dataset Size: 3,010 images.



2,102 underwater images from a GoPro camera.

Datasets from (Akkaynak & Treibitz, 2019) and (Li et al., 2019).

Video frames captured by a mini-ROV camera.



Image Characteristics:



Diverse underwater environments, depths, and lighting conditions.

Includes images with a color chart for accurate quality assessment.

Video frames from an ROV camera for evaluating real-time processing.



Data Augmentation: The original dataset was augmented to 6,000 images using random rotations and flips.

Reference Data: Images corrected using SeaThru method (Akkaynak & Treibitz, 2019) are provided as reference data for training and evaluation.


Data Acquisition:



GoPro camera.

Mini-ROV camera.

Publicly available datasets from previous studies.


Preprocessing:



SeaThru method applied to generate reference corrected images.

Augmentation via rotations and flips.


Availability:

The proprietary dataset (GoPro and mini ROV images) is publicly available at this link:

BlueRealm dataset

Citation:

The BlueRealm dataset has been published in the context of the following work:

C. Antoniou, S. Spanos, S. Vellas, V. Ntouskos, K. Karantzalos, (2024). StreamUR: Physics-informed Near Real-Time Underwater Image Restoration. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.DOI: 10.5194/isprs-archives-XLVIII-3-2024-1-2024

Also cite the original datasets from (Akkaynak & Treibitz, 2019) and (Li et al., 2019), if applicable.

Contact:

Christos Antoniou - chrant.mail at gmail.com

Sotiris Spanos - spanossotiris1998 at gmail.com 

Valsamis Ntouskos - valsamis.ntouskos at unimercatorum.it; ntouskos at mail.ntua.gr

References:

Akkaynak, Derya, and Tali Treibitz. "Sea-thru: A method for removing water from underwater images." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019.

Li, Chongyi, et al. "An underwater image enhancement benchmark dataset and beyond." IEEE transactions on image processing 29 (2019): 4376-4389.
DOI: 10.15468/dl.6pvad2
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Nepeta caerulea Aiton",
 "Year 1975-2025"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000939-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2snnqe
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves, Mammalia)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "Geometry POLYGON((-79 10, -79 -18, -43 -18, -43 10, -79 10))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000940-250227182430271/datasets/export for details.
DOI: 10.6084/m9.figshare.28514072
title: Data availability for yEFIS with EFIS lead the way to ECR engagement at ECI2024.xlsx

description: Data collected for the 2nd yEFIS Symposium "Conquering early career challenges as young immunologists” and ECI2024
DOI: 10.5517/ccdc.csd.cc2jx6pc
title: CCDC 2350813: Experimental Crystal Structure Determination

description: Related Article: Leire Celaya-Azcoaga, Jon Pascual-Colino, Garikoitz Beobide, Oscar Castillo, Roberto Fernández de Luis, Antonio Luque, Sonia Pérez-Yáñez, Idoia Ruiz de Larramendi|2024|Inorg.Chem.|63|23363|doi:10.1021/acs.inorgchem.4c04119
description: Related Article: Andrea García-Hernán, Fernando Aguilar-Galindo, Oscar Castillo, Pilar Amo-Ochoa|2024|Cat.Sci.Tech.|14|6573|doi:10.1039/D4CY00969J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jx6qd
title: CCDC 2350814: Experimental Crystal Structure Determination

description: Related Article: Leire Celaya-Azcoaga, Jon Pascual-Colino, Garikoitz Beobide, Oscar Castillo, Roberto Fernández de Luis, Antonio Luque, Sonia Pérez-Yáñez, Idoia Ruiz de Larramendi|2024|Inorg.Chem.|63|23363|doi:10.1021/acs.inorgchem.4c04119
description: Related Article: Andrea García-Hernán, Fernando Aguilar-Galindo, Oscar Castillo, Pilar Amo-Ochoa|2024|Cat.Sci.Tech.|14|6573|doi:10.1039/D4CY00969J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jx6rf
title: CCDC 2350815: Experimental Crystal Structure Determination

description: Related Article: Leire Celaya-Azcoaga, Jon Pascual-Colino, Garikoitz Beobide, Oscar Castillo, Roberto Fernández de Luis, Antonio Luque, Sonia Pérez-Yáñez, Idoia Ruiz de Larramendi|2024|Inorg.Chem.|63|23363|doi:10.1021/acs.inorgchem.4c04119
description: Related Article: Andrea García-Hernán, Fernando Aguilar-Galindo, Oscar Castillo, Pilar Amo-Ochoa|2024|Cat.Sci.Tech.|14|6573|doi:10.1039/D4CY00969J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.v4j2rx
title: Occurrence Download

description: A dataset containing 8318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cryptomeria japonica (Thunb. ex L.f.) D.Don)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8318 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000941-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6asvbr
title: Occurrence Download

description: A dataset containing 14091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Paraguay)",
 "TaxonKey is Pilherodius pileatus (Boddaert, 1783)",
 "Year 1000-2024"
 ]
}

 The dataset includes 14091 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000942-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jjksw
title: Occurrence Download

description: A dataset containing 384826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alopecurus pratensis L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 384826 records from 1765 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000933-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wksu9
title: Occurrence Download

description: A dataset containing 9971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Lutra lutra (Linnaeus, 1758)"
 ]
}

 The dataset includes 9971 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009259-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/bxjf-tz57
title: Muiti-agent flow shop scheduling under ToU tariffs

description: Bi-objective multi-agent flow-shop scheduling problem with time-of-use electricity tariffs and customer value weightThis study investigates a novel multi-agent flow shop scheduling problem with ToU tariffs and customer value weight, in which the benefit ratio of OEM earned from each customer is represented by a customer value weight. The objective is to simultaneously optimize the weighted customer satisfaction and the total electricity cost. For the problem, a bi-objective mixed integer programming model is developed, and valid inequalities are designed to reduce the search space of the problem. For equal customer weight, an ε-constraint framework is applied to obtain Pareto front of the problem, in which a new branch and bound (B&B) algorithm is designed to exactly solve a series of transformed single-objective problems. For the general problem, a multi-objective bacterial foraging optimization (MO_BFO) algorithm is developed to obtain the approximate Pareto front. Experimental results demonstrate the efficiency and effectiveness of the proposed model and algorithms.
DOI: 10.15468/dl.e9r4br
title: Occurrence Download

description: A dataset containing 6766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hyparrhenia rufa (Nees) Stapf)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6766 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009260-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97hz3k
title: Occurrence Download

description: A dataset containing 823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sargus cuprarius (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 823 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009261-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14995169
title: Review the role of oxygen-delivering nanobubbles in stroke therapy: A novel approach
DOI: 10.15468/dl.pgesuv
title: Occurrence Download

description: A dataset containing 3121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((101.04609 22.75621,121.83763 22.75621,121.83763 31.06563,101.04609 31.06563,101.04609 22.75621))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Camellia oleifera Abel."
 ]
}

 The dataset includes 3121 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009188-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yydzw9
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Serromyia femorata (Meigen, 1804)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 483 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009263-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10968553
title: e-IPO Indonesia Data - Investment
DOI: 10.15468/dl.h2zq2e
title: Occurrence Download

description: A dataset containing 3121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((101.04609 22.75621,121.83763 22.75621,121.83763 31.06563,101.04609 31.06563,101.04609 22.75621))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Camellia oleifera Abel."
 ]
}

 The dataset includes 3121 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009189-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ga4xrf
title: Occurrence Download

description: A dataset containing 1413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hylarana Tschudi, 1838"
 ]
}

 The dataset includes 1413 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009264-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.56jn6f
title: Occurrence Download

description: A dataset containing 1814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scathophaga suilla (Fabricius, 1794)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1814 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009190-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10968565
title: Hacker News Cumulative Data
DOI: 10.15468/dl.vjkght
title: Occurrence Download

description: A dataset containing 4444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silpha carinata Herbst, 1783",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4444 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009192-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srqbyz
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((101.04609 22.75621,121.83763 22.75621,121.83763 31.06563,101.04609 31.06563,101.04609 22.75621))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Camellia oleifera Abel."
 ]
}

 The dataset's 4 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009191-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e113269v1-170201
title: Replication data for: Does Job Corps Work? Impact Findings from the National Job Corps Study

description: This paper presents findings from an experimental evaluation of Job Corps, the
nation’s largest training program for disadvantaged youths. The study uses survey
data collected over four years and tax data over nine years on a nationwide
sample of 15,400 treatments and controls. The Job Corps model has promise;
program participation increases educational attainment, reduces criminal
activity, and increases earnings for several postprogram years. Based on tax
data, however, the earnings gains were not sustained except for the oldest participants.
Nonetheless, Job Corps is the only federal training program that has
been shown to increase earnings for this population. (JEL I28, I38, J13, J24)
DOI: 10.15468/dl.rbkm5a
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sethenira ferruginea Stål, 1870",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009266-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14765286
title: The sediment transport capacity and flow velocity under combined surface covers
DOI: 10.5281/zenodo.14765287
title: The sediment transport capacity and flow velocity under combined surface covers
DOI: 10.5281/zenodo.14995261
title: The sediment transport capacity and flow velocity under combined surface covers
DOI: 10.5281/zenodo.14995272
title: Benchmark Material Data Sets for Hyperelastic Material Modeling

description: This repository contains experimental data sets that were used in my thesis.

### Contents


1. Treloar Data Set of Vulcanized Rubber

This data set includes measurements from uniaxial tension (UT), pure shear (PS) and equibiaxial Tension (EBT) [1].


2. Kawabata Data Set of Biaxial Tension of Rubber

This data set includes measurements from biaxial tension tests performed on vulcanized rubber [2].


3. Temperature-Dependent Hytrel 4556 Data Set

Experimental results characterizing the temperature-dependent mechanical behavior of the thermoplastic polyester elastomer Hytrel 4556 [3].


4. Temperature-Dependent Silicone (with Softening Behavior)

This data set represents a filled silicone rubber material and its stretch–strain response at different temperatures, capturing the temperature-induced softening behavior [4].


5. Hydration-Dependent Polyamide Aerogels

Contains mechanical test data for polyamide aerogels under varying hydration levels. The material behavior changes significantly with water content, and the data capture this effect [5].


### File Format

All data files are provided in plain text (.csv) using a semicolon (;) as delimiter. Each file includes descriptive headers such as:


1. Mechanical deformation parameter: stretch or strain

2. Corresponding stress

3. Any additional physical quantities (e.g., temperature, hydration level)


### Visualization

Each data set is accompanied by a corresponding plot, providing a visual overview of the experimental results to facilitate interpretation and model fitting.


### References


[1] Treloar, Leslie RG. “Stress-strain data for vulcanized rubber under various types of deformation”. In: Rubber Chemistry and Technology 17.4 (1944), pp. 813–825.


[2] Kawabata, S, Matsuda, M, Tei, K, and Kawai, H. “Experimental survey of the strain energy density function of isoprene rubber vulcanizate”. In: Macromolecules 14.1 (1981), pp. 154–162.


[3] Chemie Wirtschaftsförderungs-GmbH. DuPont Engineering Polymers Hytrel 4556. 2022. url: https://www.campusplastics.com/campus/en/datasheet/Hytrel%C2%AE+4556/DuPont/52/abead118 (visited on 03/29/2022).


[4] Rey, Thierry, Chagnon, G, Le Cam, J-B, and Favier, Denis. “Influence of the temperature on the mechanical behaviour of filled and unfilled silicone rubbers”. In: Polymer Testing 32.3 (2013), pp. 492–501.


[5] Moldován, Krisztián et al. “Mechanism of Hydration Induced Stiffening and Subsequent Plasticization of Polyamide Aerogel”. In: Advanced Materials Interfaces 10.17 (2023), p. 2300109.


### Disclaimer

I do not claim ownership of any of the original data. All data sets were extracted from publicly available literature and references, solely for academic and illustrative purposes within the scope of my thesis. I do not assume any liability for the accuracy, completeness, or usage of the data provided herein. Users are responsible for ensuring appropriate use and citation of the original sources.