cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rbfmjn7ymp
title: Field Study of Foundation Performance on Medium-Expansive Soils

description: Over a monitoring period of 974 days, two critical parameters were recorded to evaluate the performance of the four foundations. The first parameter, vertical deformations, was measured using dial gauges. To ensure precision and accuracy, these measurements were validated with advanced instruments, including the line laser GLL 3-80 Professional and the LEICA DNA 10 digital levels. The second parameter involved the weekly cumulative rainfall, which was obtained from the General Directorate of Agriculture in Erbil, operating under the Ministry of Agriculture and Water Resources, Kurdistan Regional Government (KRG). This rainfall data was crucial for assessing the impact of environmental factors on the foundations over the study period.
DOI: 10.17632/78ng4tmj75
title: Bayesian Force Inference package for Matlab

description: This package allows the user to perform 2D Bayesian Force Inference in Matlab

Reference:
Experimental validation of force inference in epithelia from cell to tissue scale
W. Kong, O. Loison, P. Shivakumar, E.H. Chan, M. Saadaoui, C. Collinet, P.-F. Lenne, R. Clément
Scientific Reports, 2019
DOI: 10.17632/kc9ymdt8fm
title: Downstream fining and rounding in sand-bed river and its significance: A case study from the Ganjiang River, China

description: Particle sizes, shapes, and geochemical elements of different sediment
DOI: 10.6084/m9.figshare.12824771.v1
title: A Cross-Session Dataset for Collaborative Brain-Computer Interfaces Based on Rapid Serial Visual Presentation

description: Brain-computer interfaces (BCIs) based on rapid serial visual presentation (RSVP) have been widely used to categorize target and non-target images. However, it is still a challenge to detect single-trial event related potentials (ERPs) from electroencephalography (EEG) signals. Besides, the variability of EEG signal over time may cause difficulties of calibration in long-term system use. To cope with these challenges, collaborative BCIs can be used to improve the detection efficiency by fusing brain activities acquired from multiple subjects. More effective feature extraction and classification algorithms can also contribute to enhance the detection accuracy and cross-session performance. To evaluate the performance of data fusion methods and feature extraction and classification algorithms, datasets are required. However, there is still a lack of cross-session collaborative RSVP-based BCI dataset. This paper presents a cross-session EEG dataset of a collaborative RSVP-based BCI system from 14 subjects, who were divided into 7 groups. All subjects participated in the same experiment twice with an average interval of ~23 days. The experiment consisted of 3 blocks, each containing 14 trials. Each trial presented 100 street scene images at 10Hz (10 images per second), including 4 target images with human and 96 non-target images without human. In the collaborative BCI experiment, two subjects were asked to watch the same RSVP sequences synchronously and make a key-press immediately when they detected a target. The results in data evaluation indicate that adequate signal processing algorithms can greatly enhance the cross-session BCI performance in both individual and collaborative conditions. Besides, compared with individual BCIs, the collaborative methods that fuse information from multiple subjects obtain significantly improved BCI performance. This dataset can be used for developing more efficient algorithms to enhance performance and practicality of a collaborative RSVP-based BCI system.
DOI: 10.17632/r8t848m88z
title: ASYM: A program to examine fission fragment mass asymmetry in hemispherical chambers

description: Title of program: ASYM Catalogue Id: AADD_v1_0 Nature of problem The program ASYM was written to assist in the design of a fission chamber for an experiment to measure delayed neutron spectra following fission of U-235. Fission takes place in a U-235 lined hemispherical fission chamber. Fission fragments emitted from the infinitely thick foil are trapped by helium gas in the chamber and are transferred to a counting area by a helium-jet system. To avoid a possible distortion in the spectra one would like fragments fo all masses to be stopped with equal probab ... Versions of this program held in the CPC repository in Mendeley Data AADD_v1_0; ASYM; 10.1016/0010-4655(85)90046-3 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.25764060.v2
title: Data for Tarim

description: Data for calculating the P receiver functions.As described in the paper, a Butterworth bandpass filter with a frequency range of 0.05-2 Hz was applied to the data. The waveforms 20 seconds before and 100 seconds after the theoretical P arrival time were cut to calculate the receiver function.Results for the depth of D410, D660 and MTZ thickness.
DOI: 10.17632/fhhznw45vs
title: Replication data and code for Hsieh, Li, Ossa and Yang "Gains from Trade Liberalization with Flexible Extensive Margin Adjustment"

description: Please read the Readme.txt file first. The zipped file contains all programs and data used to generate the tables and figures in the paper Hsieh, Li, Ossa and Yang "Gains from Trade Liberalization with Flexible Extensive Margin Adjustment."
DOI: 10.17632/ncxfg4pwfg
title: Data for: Nonparametric Bayesian-based recognition of solar irradiance conditions: Application to the generation of high temporal resolution synthetic solar irradiance data

description: Supplementary materials for "Nonparametric Bayesian-based recognition of solar irradiance conditions: Application to the generation of high temporal resolution synthetic solar irradiance data" article.
DOI: 10.17632/s8y5dgv5h8
title: TDP-43 is a master regulator of paraspeckle condensation. Hodgson, Huang et al.

description: The paraspeckle is a stress-inducible condensate assembled from NEAT1_2 lncRNA ribonucleoprotein particles (RNPs) by FUS protein. Paraspeckles are suppressed in normal tissues but are rapidly yet transiently upregulated under stress. We demonstrate that TDP-43 inhibits the condensation of NEAT1 RNPs into the paraspeckle via polymerisation on NEAT1_2 UG-repeats, in a concentration-dependent manner. This condensation defect can be rescued by FUS supplementation. Below the disruptive concentration, TDP-43 partitions into paraspeckles as non-liquid clusters demixed from the FUS microphase. In stressed cells, TDP-43 sequestration into de novo nuclear condensates alleviates paraspeckle suppression and increases their dynamism. NEAT1_2 middle-part UG-repeats mediate co-transcriptional TDP-43 recruitment and paraspeckle condensation control, whereas the 3’-end UG-repeat contributes to paraspeckle regulation post-assembly. ExpansionHunter analysis in ~5000 amyotrophic lateral sclerosis patients linked longer 3’-end repeats to shorter survival. Thus, TDP-43 acts as a molecular switch between paraspeckle low- and high-assembly states and fine-tunes their properties – a mechanism dysregulated in neurodegeneration.
DOI: 10.17632/wbdr5pdxbd
title: Ground Penetrating Radar (GPR) Corrosion Data (Wong, 2023)

description: Please refer to the article below:
Wong, P. T.-w., W. W.-l. Lai and C.-s. Poon (2023). "Classification of concrete corrosion states by GPR with machine learning." Construction and Building Materials. https://doi.org/10.1016/j.conbuildmat.2023.132855 (accepted)

Description of Data Set:
D2_0: Specimen D2, baseline, intact, Phase 1, GSSI SIR4000, 2 GHz
D2_1: Specimen D2, after exposure to 4% saline, Phase 2, GSSI SIR4000, 2 GHz
CEE_V_0: concrete wall at CEE/Castco, 50 mm cover, baseline, Phase 1, GSSI SIR20, 2 GHz
Korr1_0: Völker's specimen at BAM, 45 mm cover, baseline
F4_2: Specimen F4, during accelerated electrochemical corrosion, up to the day with hairline crack observed, Phase 2, GSSI SIR4000, 2 GHz
Mala_16_75: Lai's speciemn at BAM, 75 mm cover, baseline, Phase 1, Mala ProEx, 1.6 GHz
GSSI_26_75: Lai's speciemn at BAM, 75 mm cover, baseline, Phase 1, GSSI SIR20, 2.6 GHz
HKM_C1: HKM, field marine structure, delamination, Phase 3, GSSI SIR4000, 2 GHz
HKM_C3: HKM, field marine structure, internal crack, Phase 3, GSSI SIR4000, 2 GHz
NP_D: NP, field marine structure, delamination, Phase 3, GSSI SIR4000, 2 GHz
NP_SC: NP, field marine structure, minor surface crack, Phase 3, GSSI SIR4000, 2 GHz
TM1_C1: Upper deck of the Tuen Mun Wall, water seepage, Phase 2, GSSI SIR4000, 2 GHz
TM2_C5: Lower deck of the Tuen Mun Wall, normal, Phase 1, GSSI SIR4000, 2 GHz
TM2_C6: Lower deck of the Tuen Mun Wall, corroded, Phase 3, GSSI SIR4000, 2 GHz
TM2_C8: Lower deck of the Tuen Mun Wall, corroded and section loss, Phase 3, GSSI SIR4000, 2 GHz

Remark(s):
"GroupX, GroupXX, GroupXXX" stand for the group index for bias-variance decomposition of individual groups as assigned in the "Group" column
DOI: 10.17632/64gv2ffx72
title: The EAT-Lancet Commission’s Planetary Health Diet Compared with the IHME GBD Ecological Data Analysis: data, Excel files, and SAS codes

description: An analysis database of Global Burden of Disease 2017 risk factor and health outcome data (GBD2017) originates from raw data files from the Institute of Health Metrics and Evaluation (IHME) affiliated with the University of Washington. We are volunteer collaborators with IHME and not employed by IHME or the University of Washington. 

The population weighted GBD2017 data are on male and female cohorts ages 15-69 years including noncommunicable diseases (NCDs), body mass index (BMI), cardiovascular disease (CVD), and other health outcomes and associated dietary, metabolic, and other risk factors. 
 The purpose of creating this population-weighted, formatted database is to explore the univariate and multiple regression correlations of health outcomes with risk factors. Our research hypothesis is that we can successfully model NCDs, BMI, CVD, and other health outcomes with their attributable risks.
 
These Global Burden of disease data relate to the paper in Cureus: The EAT-Lancet Commission Planetary Health Diet compared with Institute of Health Metrics and Evaluation Global Burden of Disease Ecological Data Analysis: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325883/
The data include the following:
1. The Excel files that accompanied the above SAS code to produce the tables
2. A text file to import the analysis database into SAS
3. The SAS code to format the analysis database to be used for analytics
4. SAS code for deriving Tables 11-19 of EAT Lancet v GBD data
5. Analysis database (wtedCVDRfsCov2017) of population weighted GBD2017 data that includes over 40 health risk factors, noncommunicable disease deaths/100k/year of male and female cohorts ages 15-69 years from 195 countries (the primary outcome variable that includes over 100 types of noncommunicable diseases) and over 20 individual noncommunicable diseases (e.g., ischemic heart disease, colon cancer, etc).

For questions, please email davidkcundiff@gmail.com. 
Thanks.
DOI: 10.17632/b6d9y9bhkt
title: Data for: Deepwater to fluvio-deltaic stratigraphic evolution of a deglaciated depocenter: the early Permian Rio do Sul and Rio Bonito formations, southern Brazil

description: Localities described to construct the paper entitled “Deepwater to fluvio-deltaic stratigraphic evolution of a deglaciated depocenter: the early Permian Rio do Sul and Rio Bonito formations, southern Brazil”.
DOI: 10.6084/m9.figshare.7059545.v2
title: Geometric Model Files.zip

description: Exemplar geometric model of cancellous bone architectural patterns observed in the femur of <em>Allosaurus</em> and tyrannosaurids.
DOI: 10.17632/6tmhczfv82
title: Dataset for: Does capital structure affect profitability? Evidence from Ghanaian listed firms

description: This dataset contains the Excel, STATA file and DO file of 23 firms listed on the Ghana Stock Exchange from 2003-2013. Variables include; ROA, ROE, Short Term Debt, Long Term Debt, Total Debt, Size (2 metrics; total assets and sales), Liquidity (2 metrics; Networking capital and Current assets), Growth (2 metrics; total assets and sales), Financial risk, Market share, Age, Capital, Total assets, Total liabilities, Current assets and Current liabilities.

The DO file contains the codes for the research ''Does capital structure affect profitability? Evidence from Ghanaian listed firms''. To cite this paper;
Kotey, R.A (2020). Does capital structure affect profitability? Evidence from Ghanaian listed firms.
DOI: 10.17632/nbbhy2yxmz
title: Grape Version 1

description: Documentation for the Grape V1, drawn from the Github at https://github.com/HamSCI/PSWS_Documentation/tree/master/Grape_Gen1_PSWS

Crowdsourced data collection among the international community of amateur radio operators and shortwave listeners has great potential for addressing problems of undersampling in the geospace system.
Quantitative Doppler measurements of high frequency (HF) time standard stations, used in bottomside ionospheric sensing, have been accomplished using existing radio hardware belonging to volunteers in distributed campaigns.
However, typical shortwave receivers cannot be put to ordinary use while these measurements are being taken, do not have standardized signal chains, and are generally too expensive to be purchased for the purpose of taking Doppler measurements alone. Here, we provide documentation for a low-cost intermediate frequency receiver, the Grape Version 1, which is designed specifically for measurements of North American time standard stations.
Grape receivers can be easily constructed and deployed by amateur scientists in order to gain a deeper understanding of variations in radio propagation in their local environment. When compared over long periods and across distributed networks of stations, the resulting data yield insights on greater spatial and time scales.  At the time of this writing, several of these receivers have been deployed across the United States and are currently collecting data. These receivers form the first iteration of the Personal Space Weather Station network.

See https://doi.org/10.1016/j.ohx.2022.e00289 for documentation, and https://doi.org/10.5194/essd-2022-303 for data. 
____________________________________________________

29 May 2023: Posted updated instructions, `MakeGrape1OSImageV1_03.pdf`, with explicit instructions on how to request a node number.

16 May 2022: Posted software update, v1.2, to support automated data upload. 

4 March 2022: Added hardware files for WWV Grape 1 Radio Ver 1.12, which has several significant improvements. See Grape v1.12.zip for most current hardware files. 
1 - Input protection improved; parts now easy to solder
2 - Part selection updated according to current availability
3 - Added a 4th frequency band (15 MHz) as a selection for the input filter
4 - Bandpass filters were adjusted to the current Grape 2 values

31 August 2023: Due to storage constraints, Grape Gen 1 OS software is now housed at Zenodo: See https://www.doi.org/10.5281/zenodo.8305995.
DOI: 10.17632/sncdhf53xc
title: OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

description: Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods (OCTDL) comprising over 2000 OCT images labeled according to disease group and retinal pathology.

The dataset consists of the following categories and images:
- Age-Related Macular Degeneration - 1231 images;
- Diabetic Macular Edema - 147 images;
- Epiretinal Membrane- 155 images;
- Normal - 332 images;
- Retinal Artery Occlusion - 22 images;
- Retinal Vein Occlusion - 101 images;
- Vitreomacular Interface Disease - 76 images.

This dataset is published to provide researchers and developers with access to a large set of labeled images, which contributes to the development and improvement of algorithms for the automatic processing and analysis of OCT images for early diagnosis and monitoring of eye diseases. CSV file consists of file_name, disease, subcategory, condition, patient_id, eye, sex, year, image_width, and image_height. The dataset will be updated periodically.

For more information and details about the dataset see: https://arxiv.org/abs/2312.08255

@misc{kulyabin2023octdl,
 title={OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods}, 
 author={Mikhail Kulyabin and Aleksei Zhdanov and Anastasia Nikiforova and Andrey Stepichev and Anna Kuznetsova and Mikhail Ronkin and Vasilii Borisov and Alexander Bogachev and Sergey Korotkich and Paul A Constable and Andreas Maier},
 year={2023},
 eprint={2312.08255},
 archivePrefix={arXiv},
 primaryClass={eess.IV}
}
DOI: 10.6084/m9.figshare.17134250.v1
title: Insurance premiums for the CHI of unemployed population in the Russian Federation and the North Caucasian Federal District

description: Expanded data on insurance premiums for the CHI of unemployed population in the Russian Federation and the North Caucasian Federal District are presented in the data set developed by the authors based on the materials of the Federal State Statistics Service of the Russian Federation.
DOI: 10.17632/vf8822rd8j
title: [Dataset] Eco-conscious biomaterial design: Analytical insights into starch nanoscaffolds with green-engineered copper oxide nanoparticles using marine Sargassum wightii extract

description: This dataset presents a detailed physicochemical characterization of starch-based nanoscaffolds integrated with copper oxide nanoparticles (CuO NPs) synthesized via an eco-friendly approach using Sargassum wightii, a marine brown algal extract. UV-visible spectroscopy (UV-Vis) confirms CuO NP formation through characteristic plasmon resonance peaks, while Fourier-transform infrared spectroscopy (FT-IR) identifies bioactive compounds (e.g., polyphenols, polysaccharides) in the algal extract responsible for nanoparticle reduction and stabilization, alongside interactions (e.g., hydrogen bonding) between starch polymers and CuO NPs. X-ray diffraction (XRD) validates the crystalline phase and structural purity of the nanoparticles, and scanning electron microscopy (SEM) reveals the nanoscaffold’s porous architecture, surface topography, and homogeneous CuO NP dispersion. Thermal gravimetric analysis (TGA) demonstrates enhanced thermal stability and delayed degradation of the nanocomposite, attributed to nanoparticle reinforcement. Dynamic light scattering (DLS) profiles hydrodynamic size, polydispersity, and colloidal stability of the CuO NPs, critical for assessing biocompatibility.
The study emphasizes the sustainable synergy between Sargassum wightii’s phytochemicals and starch matrices, yielding scaffolds with improved mechanical strength, thermal resistance, and controlled biodegradation. These nanohybrid systems hold promise for eco-conscious biomedical applications, such as tissue engineering, wound healing, or drug delivery, where low environmental impact and high performance are prioritized. By merging green nanotechnology with advanced analytical workflows, this dataset bridges marine bioresource valorization with material innovation, offering a scalable strategy for eco-friendly biomaterial development. Researchers can leverage these insights to optimize algal-mediated synthesis protocols, tailor scaffold porosity and crystallinity, and validate the ecological and functional advantages of marine algae-derived nanocomposites. The work underscores the potential of Sargassum wightii in advancing circular economy principles, reducing reliance on toxic chemicals, and fostering sustainable alternatives in nanotechnology-driven biomaterial design.
DOI: 10.6084/m9.figshare.21150994.v1
title: Software Metrics for Software Defect Prediction Dataset

description: <strong>Dataset</strong> used in the article: <em>"Software Source Code Metrics for Software Defects Prediction"*</em> in which we look at the impact of source code level metrics for software defects prediction models in terms of various metrics of prediction performance and the rankings of the metrics. * Dominik Arne Rebro, Bruno Rossi, and Stanislav Chren. 2023. Source Code Metrics for Software Defects Prediction. In Proceedings of ACM SAC Conference (SAC’23). ACM, New York, NY, USA, https://doi.org/10.1145/3555776.3577809 Contents of the package: <strong>dataset/ : </strong>main datasets collected and analyzed in the article <strong>results-rankings-plots/ : </strong>boxplots with the rankings of the metrics for each of the classifiers <strong>Addendum_ProjectsStatistics.png : </strong>table with the mined projects descriptive statistics <strong>Addendum_Acronyms.png</strong> : list of the main software source code metrics acronyms used in the article <strong>Addendum_ThreatsToValidity.png</strong> : main threats to validity that could not be included in the article due to space constraints
DOI: 10.17632/ng2k62crcg
title: mePAP - Low cost, Multipurpose, Equitable, Positive Airway Pressure Device

description: The mePAP consists of a simple 3D printed housing, with a 12V brushless DC motor blower unit, a motor driver, and pressure sensor encased inside. Some current devices have an added humidification unit to warm the air to increase comfort levels. The devices are fully functional without this addition, and hence it was removed to keep costs low, while keeping comfort high. The mePAP is controlled through an ergonomic app, making it easier to set the pressures especially during the night. The app also allows for data collection, with open access to breathing data throughout the night, which is currently withheld on many PAP devices. Current PAP devices range from NZD $800-$2500, with the mePAP only NZD$250. This reduction in cost makes it more equitable for lower-socio economic users, who are more susceptible to sleep apnea. 

No current PAP devices to date connect to, or utilize external sensor systems, which ensures this project is making a step forward from current state-of-the-art. The additional mini sensor at the mouthpiece provides another level of accuracy with a feedback response implemented to ensure the pressure the subject receives is as close to that set, along with giving more accurate measurements to base BiPAP and APAP control from. This mini sensor unit has been designed to fit at the end of the hose and connect to the mask with ease, being small and light weight to minimise disruptions to the user. 

Files are split into two main sections: Code; and Hardware. Code files include the mobile phone app for control, ESP32 code for CPAP, BiPAP, APAP and mini sensor control, and Matlab code for plotting of results.
Hardware comprises of 3D printed components and printed circuit boards (PCB's). Both the main mePAP housing and the additional mini sensor 3D printed components are available as SolidWorks parts and STL files. SolidWorks files can be adapted to suit user needs, or STL files for direct 3D printing as is. Hardware PCB's contains the control PCB and pressure sensor PCB. Both can be adapted as required.
DOI: 10.17632/rvxntbtscw
title: Virulence Factor Database for 16S metagenomics

description: Virulence-relevant KOs Database allows the prediction of bacterial virulence factor genes from 16S-based metagenomics using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) algorithm. After normalisation for 16S rDNA copy number and total species count, KEGG Orthologs (KO) abundances can be estimated using PICRUSt pre-computed files and virulence-specific genes parsed using VFDB_KO_unique file.
DOI: 10.6084/m9.figshare.13204022.v1
title: CAM Cancer Data.xlsx

description: Data on CAM cancer treatments derived from crowdfunding campaigns