cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14707329.v1
title: Database: Prevalence of gastrointestinal symptoms, severity of dysphagia, and their correlation with severity of amyotrophic lateral sclerosis in a Mexican cohort

description: This database was generated with the help of 43 Mexican patients diagnosed with amyotrophic lateral sclerosis (ALS). The presence and severity of gastrointestinal (GI) symptoms and dysphagia were identified by means of the Gastrointestinal Symptom Rating Scale (GSRS) and the Functional Outcome Swallowing Scale (FOSS). The Revised ALS Functional Rating Scale (ALSFRS-R) was utilized to determine the severity of ALS. ALSFRS-R scores were divided into two categories: those with mild to moderate ALS (≥40-30 points) and patients with moderate to advanced ALS (29-≤20 points).
DOI: 10.6084/m9.figshare.19322417.v1
title: Supplementary Material for: Radiomics versus Conventional Assessment to Identify Symptomatic Participants at Carotid Computed Tomography Angiography

description: <b><i>Introduction:</i></b> Carotid computed tomography angiography (CTA) is routinely used for evaluating the atherosclerotic process. Radiomics allows the extraction of imaging markers of lesion heterogeneity and spatial complexity. These quantitative features can be used as the input for machine learning (ML). Therefore, in this study, we aimed to evaluate the diagnostic performance of radiomics-based ML assessment of carotid CTA data to identify symptomatic patients with carotid artery atherosclerosis. <b><i>Methods:</i></b> In this retrospective study, participants with carotid artery atherosclerosis who underwent carotid CTA and brain magnetic resonance imaging from May 2010 to December 2017 were studied. The participants were grouped into symptomatic and asymptomatic groups according to their recent symptoms (determination of ipsilateral ischemic stroke). Eight conventional plaque features and 2,107 radiomics parameters were extracted from carotid CTA images. A radiomics-based ML model was fitted on the training set, and the radiomics-based ML model and conventional assessment were compared using the area under the curve (AUC) to identify symptomatic participants. <b><i>Results:</i></b> After excluding participants with other stroke sources, 120 patients with 148 carotid arteries were analyzed. Of these 148 carotid arteries, 34 (22.97%) were classified into the symptomatic group. Plaque ulceration (odds ratio [OR] = 0.257; 95% confidence interval [CI], 0.094–0.698) and plaque enhancement (OR = 0.305; 95% CI, 0.094–0.988) were associated with the symptomatic status. Twenty radiomics parameters were chosen to be inputs in the radiomics-based ML model. In the identification of symptomatic participants, the discriminatory value of the radiomics-based ML model was significantly higher than that of the conventional assessment (AUC = 0.858 vs. AUC = 0.706, <i>p</i> = 0.021). <b><i>Conclusion:</i></b> Radiomics-based ML analysis improves the discriminatory power of carotid CTA in the identification of recent ischemic symptoms in patients with carotid artery atherosclerosis.
DOI: 10.6084/m9.figshare.28518710.v1
title: A Non-Invasive, Label-Free Method for Examining Tardigrade Anatomy Using Holotomography

description: Holotomography is an advanced imaging technique that enables high-resolution, three-dimensional visualization of microscopic specimens without the need for fixation or staining. By applying this technology, we successfully imaged live <i>Hypsibius exemplaris</i> in their native state, avoiding invasive procedures and phototoxic effects. Using a low concentration of 7% ethanol for tardigrade sedation and sample preparation, we captured detailed, label-free 3D images of both external and internal structures, including the digestive tract, brain, ovary, claws, salivary glands, and musculature. These findings highlight holotomography as a complementary high-resolution imaging modality that effectively addresses challenges faced with traditional imaging techniques in tardigrade research.
DOI: 10.17632/4nfv9ghgxp
title: Total capital and labor losses of floods in Indonesia

description: This dataset consists of estimated direct capital (at both Indonesia and three provinces’ levels) and labor losses due to flood in Indonesia. The direct capital losses of flood in Indonesia are calculated based on three following steps. First is mapping the direct flood losses of three provinces (based on the damages and flood losses reports published by BAPPENAS and BNPB) into sectors' classification at 2010 Indonesian IO table. Moreover, total direct flood losses of three provinces are also calculated at this step. Second is estimation of total direct flood losses for Indonesia by multiplying the total direct flood losses at first step with the total share of GDP of three provinces (Jakarta, West Papua, and North Sulawesi) over the 2010 total GDP of Indonesia at 2010 constant price. Third is estimation of direct capital losses of flood by dividing total direct flood losses over total capital of Indonesia. The total capital of Indonesia is based on data of capital at the 2010 Indonesian IO table. The same steps are applied for estimation of direct capital losses at three provinces levels. The labor losses of flood is calculated based on data of total affected people due to flood over the total population of Indonesia in 2010.
DOI: 10.17632/v843jbfm75
title: NSGA-II-Algorithm code for CRE-plan and data in C#

description: NSGA-II-Algorithm code for CRE-plan and data in C#
DOI: 10.6084/m9.figshare.21608562.v1
title: Supplementary Fig. 1: Similar muscles weight and cumulative food and water intake profile.

description: <strong>Similar muscles weight and cumulative food and water intake profile. </strong>
DOI: 10.6084/m9.figshare.27984443.v1
title: NYOS_Barcoding_CTD_Data.xlsx

description: Dataset to accompany Hadjiargyrou et al., 2024, a DNA barcoding study of marine fish embryos and larvae collected in NY offshore waters between 2021-2023.Barcoding_results tab has all results, sampling sites, and indicates whether species determination was concluded via BOLD, BLAST, or visual ID. CTD_data tab shows surface temperature and salinity measurements from all sampled locations.Sequence data and specimen images are available on BOLD Systems as a public dataset, DS-NYOS.
DOI: 10.17632/2bp6shv7bk
title: Airport Sustainability Case Study on 6 Airports

description: The sustainability indices and indicators are used to rate and compare 6 airports by using real airport data from the airports publicly available sustainability reports. A case study is performed by evaluating aand analyzing the airport data with a unique MCDM method integrating the VIKOR and PROMETHEE II. The results of the VIKOR and PROMETHE II methods and airport sustainability rankings are provided in this repository. 
This method can be applied to all airports to obtain, rank and compare sustanability performances.
DOI: 10.17632/8gbwr87s5f
title: Elastic properties of the Susaki core samples: waveform and mineralogy

description: This dataset contains waveforms of P- and S-wave velocity measurements and XRD profiles for the Susaki core samples presented in a paper by Okuda, Akamatsu, Kitamura, Sawai (2024, ESSOAr, submitted to a peer-reviewed journal).
DOI: 10.17632/xvpjzhbnyn
title: IOBF SEARCH DATABASE

description: Clinical relevance: Tomographic analysis of the maxillary sinus and associated anatomical structures, such as the nasal cavity, is the most reliable resource for planning and carrying out implant-supported rehabilitation of the maxilla posterior region.

That was a cross-sectional tomographic study of 58 totally edentulous adult patients, totaling 116 maxillary sinuses. The RadiAnt DICOM Viewer™ 2020.2 (64-bit) software was used to measure basal/alveolar widths and maxillary length, in addition to linear distances from the maxillary sinus and nasal cavity to calculate volumes. Results: There was no significant correlation between the maxillary sinus nasal cavity volumes (ρ=0.048 / p=0.609). The volume of the nasal cavity showed a significant difference between genders (p=0.007), bigger in males. Greater alveolar and basal maxillary widths correlated with greater maxillary sinus volume. Maxilla length was significantly correlated with nasal cavity volume (ρ=0.425 / p&lt;0.001). Sinus membrane thickness was not significantly associated with maxillary sinus volume. There was no significant correlation between sinus thickness lateral wall and sinus membrane thickness.
DOI: 10.6084/m9.figshare.12568787.v1
title: Korarchaeota arCOG, KAAS annotations

description: Annotation of Brothers volcano MAGs and reference genomes from the Korarchaeota. Sheets are broken down as follows:<b>Kor_MAG_and_ref_annotations: </b>Annotations of Korarchaeota MAGs and reference genomes predicted with the arCOG database and KAAS. E-values &gt;1.0e-5 are shown in pink. <b>Kor_flagged annotations: </b>Annotations of interest that were flagged as inconsistent during curation and are not included in the final metabolism summary. The reasoning for each removal is explained in the Notes column.<b>CD_database_curation: </b>Genes with conflicting annotations that were further curated using Conserved Domain database batch searches.<br>
DOI: 10.17632/hd7xjtrrbd
title: Ground deformation products for the 7 January 2025 Mw 7.1 Tibet earthquake computed from Sentinel-1 Synthetic Aperture Radar data.

description: Ground deformation products for the 7 January 2025 Mw 7.1 Tibet earthquake computed from Sentinel-1 Synthetic Aperture Radar data.

InSAR and Speckle Range Offsets data
 • Sentinel-1_track012 
 • Sentinel-1_track048 
 • Sentinel-1_track121 

*disp.geo.tif – Line-of-Sight Displacement (measured in meters)
*wrp.geo.tif – Wrapped phase (measured in radians)
*cc.geo.tif – Coherence
*.spo_range.geo.tif - Raw Range Offsets (measured in meters)
*.spo_snr.geo.tif - Signal-to-Noise Ratio (can be used to remove noisy pixels) 
*.spo_range.geo_cleaned.tif - Post-Processed Range Offsets (measured in meters)
Post-processing filters applied:
 • Pixels with SNR&lt;8 are removed 
 • Pixels with abs(range)&gt;2 are removed 
Different filtering parameters can be applied if needed. 

Azimuth Offsets do not show measurable deformation and are not provided.

Files Produced with GAMMA look_vector command (measured in radians):
*.lv_theta.geo.tif - SAR look vector elevation angle measured between the surface and the look vector pointing at the radar at each map pixel (lv_theta: PI/2 -&gt; up; -PI/2 -&gt; down)
*.lv_phi.geo.tif - SAR look vector orientation angle at each map pixel: (lv_phi: 0 -&gt; East; PI/2 -&gt; North)

*.qc – text file with various information about processing options and baselines.

Please consult the metadata of the GeoTiff files for details regarding the limitation of liability.
DOI: 10.17632/7wsntzztxw
title: Crystal-chemical, vibrational and electronic data of 1M-phlogopite

description: The present dataset was obtained from density functional theory (DFT) simulations with the CRYSTAL17 code and confocal Raman micro-spectrometry.

We investigated the effects of Fe2+/Mg2+ substitutions in phlogopite, a mineral with ideal chemical formula KMg3(Si3Al)O10(OH)2, on the structural, vibrational (infrared and Raman) spectra and electronic properties (band structure, density of states and band gap).

We realized and simulated the properties of three 1M-phlogopite models (name of the model --> chemical formula):
- Phl-Fe0 --> KMg3(Si3Al)O10(OH)2
- Phl-Fe1 --> KMg2.5Fe0.5(Si3Al)O10(OH)2
- Phl-Fe2 --> KMg2Fe(Si3Al)O10(OH)2

Confocal Raman spectra of phlogopite were collected from the BU1-7 single-crystal sample, whose crystal-chemistry was previously described by Lacalamita and collaborators (2012, DOI: 10.1007/s00269-012-0515-y). The spectra were collected using a WITec Alpha 300 confocal Raman micro-spectrometer equipped with a 532 nm laser.
DOI: 10.17632/c6fmrf7t4s
title: LINF_060014800

description: aminoacyl-tRNA hydrolase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/yszpf7pfcd
title: Data for: Biogenic volatile organic compounds in different ecosystems in southeastern Kenya

description: Biogenic VOC concentrations from forests, bushlands, grasslands, and agricultural lands in Taita Taveta County, Kenya. Measurements carried out at the start of the rainy season in 2019. For more information contact Yang Liu (yang.z.liu@helsinki.fi).
DOI: 10.17632/4gwfzm98c6
title: Data for Specificity of narrative disclosures, market divergence and analyst role: Evidence from the Chinese market

description: The data contains all processed data files needed in our study titled Specificity of narrative disclosures, market divergence and analyst role: Evidence from the Chinese market.You can utilize the data directly for regressions, which we conduct after winsorizing the dependent variables.
DOI: 10.17632/2gdjrmn5p3
title: Panagrellus redivivus as a relevant anthelmintic discovery screen for Strongyloides stercoralis and Meloidogyne incognita: relationship of GST Phase II detoxification systems

description: The key data which is supplementary to the research, as to aid those in reading if they require more information, as well as those who wish to reproduce said study. It is recommended to open the GST Classes Collation for easier reading.
DOI: 10.6084/m9.figshare.28080749.v1
title: Demographic metrics of sharks and rays.

description: Data on Intrinsic Population Growth Rate (λ), Life History, Ecology, and Environment of Sharks and Rays, and Scientometric Data from Scopus on Demographic Studies of Sharks and Rays.
DOI: 10.17632/yxp6fxdymp
title: CLP-NC: Comprehensive Dataset for Machine Learning-Based Morphological Analysis of Cleft Lip and Palate Variants Using Multimodal Medical Imaging

description: The Cleft Lip and Palate vs. Non-Cleft (CLP-NC) Image Dataset is a high-resolution dataset
designed for the automated detection and classification of cleft lip and palate anomalies. It
comprises 3,987 images, categorized into two distinct classes: Cleft Lip and Palate (CLP) and
Non-Cleft (NC). This dataset serves as a valuable resource for researchers in medical image
analysis, deep learning, and clinical decision-making.
Dataset Characteristics:
Total Images: 3,987
Number of Classes: 2
Image Format: JPG
Image Resolution: 640 x 640 pixels
Annotation: Each image is manually labeled and verified by medical experts
Data Preprocessing: Auto-orientation and histogram equalization applied for enhanced feature
detection
Augmentation Techniques: Rotation, scaling, brightness adjustments, flipping, and contrast
modifications
Categories and Annotations:
The dataset includes images categorized into two classes:
- Cleft Lip and Palate (CLP): Congenital anomaly where the upper lip and/or palate fails to develop
properly.
- Non-Cleft (NC): Normal craniofacial structures without cleft-related deformities.
Dataset Structure and Splitting:
The dataset is divided into two main parts:
1. Non-Augmented Part (Used for Classification):
 - Non-Augmented Imbalanced: Contains 168 images of Cleft Lip and Palate and 247 images of
Non-Cleft.
 - Non-Augmented Balanced: Contains 500 images per class (Cleft Lip and Palate: 500, Non-Cleft:
500).
2. Augmented Part (Used for Object Detection):
 - Augmented Imbalanced: Includes 1,132 augmented images with an imbalanced distribution.
 - Augmented Balanced: Contains 1,440 images (Cleft Lip and Palate: 720, Non-Cleft: 720).
The dataset is split into:
- Training Set: 80%
- Validation Set: 10%
- Test Set: 10%
DOI: 10.6084/m9.figshare.19799947.v1
title: Relevance of COVID-19 vaccine on the tourism industry: Evidence from China

description: Vaccination is indeed one of the interventional strategies available to combat coronavirus disease (COVID-19). This study emphasizes the relevance of citizens' acceptance of the COVID-19 vaccine in assisting global recovery from the pandemic and aiding the tourism industries to return to normalcy. This study further presented the impact of COVID-19 on the tourism industry in China. Also, the study confirmed the past performance of tourism in China to the current tourism-related COVID-19 effects from a global perspective by employing Australia's outbound tourism data from 2008 to 2020 on top 6 destinations, including China, Indonesia, New Zealand, Thailand, the United Kingdom, and the United States.
DOI: 10.17632/5vvgf8xsgv
title: Element loss to platinum capsules in high-temperature–pressure experiments

description: This file includes the LA-ICP-MS analysis for the samples and calculated relative loss for elements
DOI: 10.17632/9zbf28fgmm
title: Industrial wastewater in Kuwait

description: Industrial wastewater quality data from different industries in Kuwait.
DOI: 10.17632/gk24h42jty
title: Analysis of IPC classification codes frequency in patents concerning "in situ" remediation technologies

description: The patent dataset analysed is based on search criteria aimed at retrieving patent documents dealing with "in situ" remediation technologies. The dataset has been created in the context of the Horizon2020 funded project "Posidon" (https://www.posidonproject.eu/). According to the European Environment Information and Observation Network for soil (EIONET-SOIL), the number of estimated potential soil contaminated sites is more than 2.5 million , of which about 14 % (340 000 sites) are highly likely to be contaminated, and hence in need of remediation measures. In terms of budget, the management of contaminated sites is estimated to cost around 6 billion Euros (€) annually. The aim of the project is to foster the development of innovative technical solutions through pre-commercial procurement selection procedures. The initial elucidation of the prior art, based on an extensive analysis of patent documents is fundamental. As Patlib centre staff members, also enrolled in the "monitoring board" of Posidon, we produce evidence that there is a considerable amount of predivulgation of decontamination technologies applicable for "in situ" reclamation of contaminated soil and/or water emerging from patent documents. Since we are especially interested in identifying the trends of the technologies that score the highest frequency of citation within the patent dataset, we illustrate one way of "unpacking" the patent dataset by identifying recurrent patterns of IPC classification codes. To this purpose, the IPC classification codes characteristic of each patent family of the dataset are analysed by isolating and clustering through subsequent stages the patent documents sharing specific IPC subgroups, main groups and subclasses patterns. During each phase the t-distributed stochastic neighbor embedding (tSNE) algorithm is applied to an array of patent families depending on presence/absence of IPC subgroups or main groups or subclasses, chosen among those most frequent in the dataset. Therefore, following the first round of clustering, those patent documents sharing specific IPC subgroups patterns are isolated and ready for additional investigation. The remaining patent documents undergo the second analytic phase by means of tSNE, therefore those patent documents sharing specific IPC main groups patterns are isolated and ready for additional investigation. The remaining patent documents undergo the final clustering by means of tSNE in order to separate the patent documents depending on specific patterns of IPC subclasses. By means of this procedure about 90% of the initial dataset (1632 simple families - as defined by the European Patent Office) become "unpacked" and clustered. Further assessments based on the patent bibliographic data can be performed, the essential advantages being that the technical content of each cluster is homogeneous and the results of different clusters can be subsequently aggregated, when a specific IPC code is common to such clusters.
DOI: 10.17632/fkywm44j3y
title: Heterogeneous Multi-Rate mass transfer models in OpenFOAM®

description: We implement the Multi-Rate Mass Transfer (MRMT) model for mobile–immobile transport in porous media (Haggerty and Gorelick, 1995; Municchi and Icardi, 2019 [1]) within the open-source finite volume library OpenFOAM® (Foundation, 2014). Unlike other codes available in the literature (Geiger et al., 2011 [2]; Silva et al., 2009), we propose an implementation that can be applied to complex three-dimensional geometries and highly heterogeneous fields, where the parameters of the MRMT can arbitrarily vary in space. Furthermore, being built over the widely diffused OpenFOAM® library, it can be easily extended and included in other models, and run in parallel. We briefly describe the structure of the multiContinuumModels library that includes the formulation of the MRMT based on the works of Haggerty and Gorelick (1995) and Municchi and Icardi (2020a). The implementation is verified against benchmark solutions and tested on two- and three-dimensional random permeability fields. The role of various physical and numerical parameters, including the transfer rates, the heterogeneities, and the number of terms in the MRMT expansions, is investigated. Finally, we illustrate the significant role played by heterogeneity in the mass transfer when permeability and porosity are represented using Gaussian random fields.
DOI: 10.6084/m9.figshare.24547774.v1
title: Supplementary materials for Rudd et al (Challenges 14 - Bitcoin mining research needs)

description: <b>Supplementary material for: </b>Rudd MA, Bratcher L, Collins S, Branscum D, Carson M, Connell S, David E, Gronowska M, Hess S, Mitchell A, Prusak M, Schneps K, Serezhin M, Wolfe SA, Porter D. 2023. Bitcoin and its energy, environmental, and social impacts: an assessment of key research needs in the mining sector. Challenges 14:xx (https://doi.org/10.3390/xxxxx)<b>Article abstract</b>: In this study, we used a combination of AI-assisted analysis of social media discourse and collaboration with industry experts to delve into the key research needs associated with the Bitcoin mining industry. We identified primary threats, opportunities, and research questions related to the Bitcoin mining industry and its wider impacts, focusing on its energy use and environmental footprint. Our findings spotlight the industry's move towards increasingly greater energy efficiency and an emerging commitment to renewable energy, highlighting its potential to contribute to the coming energy transition. We underscore the transformative potential of emerging applications in the Bitcoin mining sector, especially regarding demand response, grid flexibility, and methane mitigation. We suggest that targeted research on Bitcoin can serve policymakers, private sector decision-makers, research funding agencies, environmental scientists, and the Bitcoin industry itself. We propose that filling key information gaps could help clarify the risks and benefits of Bitcoin mining by encouraging collaboration among researchers, policymakers, and industry stakeholders, and conducting research that provides baseline peer-reviewed evidence surrounding Bitcoin’s production and impacts. A collaborative approach could help mitigate the risks and realize the benefits of Bitcoin mining, including potentially positive and substantive contributions in alignment with the Sustainable Development Goals.
DOI: 10.17632/v4wn98yfv9
title: Multipollutant GAMS Coding

description: GAMS coding for multipollutant cement plant problem