cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8hdnzv23x7
title: SARS-CoV-2-RBV (1-3)

description: Only individuals over the age of 18 were included in the study.  There are no individual characteristics (name-surname, identification number, etc.) that define the patients in our data set. Routine blood values (RBV) include various biochemical, hematological and immunological parameter properties.

The dataset contains 3 files.
File 1: SARS-CoV-2-RBV1.sav (IBM SPSS Statistics format).
First SARS-CoV-2-RBV1 data set includes the information of 2648 patients diagnosed with COVID-19 and receiving outpatient treatment in hospital on the specified dates, and the same number of patients (control group) whose COVID-19 tests were negative.
First column: Diagnosis.
In this data set, positive COVID-19 test results were coded as 1 and negative as 0 (COVID-19 = 1, non-COVID-19 = 0). This data set includes 51 RBV features. The first dataset can be used to detect COVID-19.

File 2: SARS-CoV-2-RBV2.sav (IBM SPSS Statistics format).
This dataset contains information on n = 203 severely infected (ICU) COVID-19 patients and n = 3696 mildly infected (non-ICU) COVID-19 patients. First column: ICU or non-ICU. Severely COVID-19 patients were coded as 1, while mildly COVID-19 patients were coded as 0. This dataset  includes 51  RBV features. This dataset can be used for the prognosis/severity of COVID-19.

File 3: SARS-CoV-2-RBV3.sav (IBM SPSS Statistics format). 
SARS-CoV-2-RBV3 dataset includes the information of 233 patients who died in the hospital from COVID-19 and 2364 patients living in the hospital on the specified dates. First column: Contains the patient's output information (survived or non-survived). Patients who died from COVID-19 were coded as 1, and surviving from COVID-19 were coded as 0. This dataset includes 38 RBV features. This dataset can be used for mortality/severity of COVID-19.

We grant you a non-exclusive, non-transferable, revocable license to use the SARS-CoV-2-RBV dataset solely for your non-commercial, educational, and research purposes only, but without any right to copy or reproduce, publish or otherwise make available to the public or communicate to the public, sell, rent or lend the whole or any constituent part of the dataset thereof.

Please cite the following four articles when you use any of these datasets:
1) Huyut, M.T.; Velichko, A. Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network. Sensors 2022, 22. 
2) Huyut, M.T.; Velichko, A.; Belyaev, M. Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers. Appl. Sci. 2022, 12, 12180. 
3) Velichko, A.; Huyut, M.T.; Belyaev, M.; Izotov, Y.; Korzun, D. Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. Sensors 2022, 22, 7886. 
4) Huyut, M.T. Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models. IRBM 2022, 1, 1–12.
DOI: 10.23641/asha.9765107.v1
title: Evaluating the contribution of executive functions (Obermeyer et al., 2019)

description: <b>Purpose: </b>The purpose of this study was to determine the degree to which the executive functions of attention switching and inhibition predicted performance on language subtests from the Temple Assessment of Language and (Verbal) Short-Term Memory in Aphasia (TALSA; N. Martin, Minkina, Kohen, & Kalinyak-Fliszar, 2018) across 3 interval conditions (no delay, 5-s delay, and 5-s filled delay), which was designed to add a memory and executive load to language tasks.<b>Method: </b>This study was a post hoc experimental design. Participants included 27 people with aphasia who were administered 5 subtests from the TALSA (Naming, Word Repetition, Nonword Repetition, Category Judgment, and Rhyming Judgment), which were selected to evaluate input and output levels of processing in the 3 interval conditions listed above. Three executive tasks were administered to evaluate inhibition (Simon and Flanker tasks) and attention switching (number–letter shifting).<b>Results: </b>Independent variables were proportion correct on each TALSA task in 3 separate time conditions, and predictor variables were efficiency on the Simon task and number–letter shifting task. Linear regression modeling was completed, which revealed that inhibition was a significant predictor of proportion correct for Word Repetition and Category Judgment in the 5-s filled interval condition.<b>Conclusions: </b>Our findings indicate that inhibition plays a role in completing tasks that require lexical and/or semantic processing in cognitively demanding conditions. Attention switching was not a significant predictor for any task. These results are an important step toward creating methods to evaluate executive skills in the context of language production.<br><b>Supplemental Material S1. </b>Control demographic data. <b><br></b><b>Supplemental Material S2. </b>Supplemental Material S2. Average control (<i>n</i> = 5) performance on temple assessment of language and (verbal) short term memory tasks.<b><br></b><b>Supplemental Material S3. </b>Means and standard deviations of reaction time for executive function measures in control participants (<i>n</i> = 5).<br><br>Obermeyer, J., Schlesinger, J., & Martin, N. (2019). Evaluating the contribution of executive functions to language tasks in cognitively demanding contexts. <i>American Journal of Speech-Language Pathology</i>. Advance online publication. https://doi.org/10.1044/2019_AJSLP-CAC48-18-0216<br><b>Publisher Note: </b>This article is part of the Special Issue: Select Papers From the 48th Clinical Aphasiology Conference.<br>
DOI: 10.6084/m9.figshare.22144157.v2
title: FreeMoCap Sample Data

description: This is sample data for FreeMoCap
DOI: 10.6084/m9.figshare.29161556.v2
title: IRC_inversion_AlAmidine

description: IRC for the inversion of Al/Amidine
DOI: 10.17632/t2vr872rjv
title: Experimental Data on Hot Water Storage Tank

description: This dataset pertains to a series of laboratory experiments conducted using a commercially available hot water storage tank, simulating various operational scenarios typical of heat pump-driven heating systems. The objective of these experiments was to assess the model's performance across a spectrum of inlet temperatures and mass flow rates, ensuring its effectiveness under diverse operating conditions. The experimental setup was based at the Energy Exchange Lab of Eurac Research and featured a KOOLTANK 2000 TES tank.
A total of eleven charging and eleven discharging experiments were carried out on the water storage tank. In the charging tests, the gas boiler was initially activated to heat the water within the tank, ensuring uniformity with a target temperature of 30°C along the vertical axis. Subsequently, depending on the specific charging scenario, hot water at temperatures of 40°C, 55°C, 70°C, and 83°C was introduced into the tank through the upper port. Simultaneously, water was discharged from the lower port, with the outflow temperature matching the charging temperature as the criteria for completion. Different inlet mass flow rates of 0.14 kg/s, 0.28 kg/s, and 0.42 kg/s were explored for each inlet temperature. However, it's important to note that the charging experiment involving an inlet temperature and mass flow rate of 83°C and 0.42 kg/s was deemed unfeasible due to limitations in the gas boiler's power capacity.
For the discharging tests, the gas boiler's setpoint temperatures were set at 40°C, 55°C, 70°C, and 83°C, depending on the specific case number. The tests commenced when three thermometers confirmed the setpoint temperature with some margin. In these tests, water at an inlet temperature and mass flow rate of 30°C and 0.14 kg/s was injected into the lower terminal, while hot water was discharged from the upper terminal. The experiments continued until the outflow water reached 30°C. These discharging tests were also conducted for inlet mass flow rates of 0.28 kg/s and 0.42 kg/s. The following table provide further details of each charging and discharging experiment.
The attached figure (scheme) illustrates a simplified configuration of the storage tank, emphasizing the bidirectional flow during the charging and discharging phases without auxiliary components. The tank features lower and upper ports, located at 0.23 m and 1.56 m from the bottom, respectively. Water temperatures inside the tank were accurately monitored using three platinum Resistance Temperature Detector (RTD) sensors, strategically immersed at heights of 0.41 m (T_bot), 0.88 m (T_mid), and 1.35 m (T_top) from the bottom. The platinum RTD temperature sensors used in the experiments have a maximum error of ±0.28 °C, providing reliable temperature measurements. Moreover, flow rates were measured using a magnetic flow meter with an error margin of ±0.008 m3/h. 
The description of data included in each experiment is added to the attached Metadata.
DOI: 10.6084/m9.figshare.21218474.v1
title: 1cm Tumour data.zip

description: Comprehensive MATLAB-based file (CERR) for DVHs analysis, dose distributions, dose wash demonstrations, and full dose values.
DOI: 10.6084/m9.figshare.21485619.v1
title: Supplementary Materials for "Environment context variability and incidental word learning: a virtual reality study"

description: Materials used for the incidental learning phase of the study entitled "<strong>Environment context variability and incidental word learning: a virtual reality study".</strong>
DOI: 10.17632/2vj2tw8jkw
title: Lemon shark nursery habitat use

description: Data files associated with the research manuscript "A day in the life: Quantifying nursery habitat use in a coastal shark species". The study used combined accelerometer-acoustic transmitter tag packages to investigate fine-scale space use, activity and behavioural patterns of nursery-bound lemon sharks (Negaprion brevirostris) in the Bahamas. Baited remote underwater video (BRUV) surveys were then used to investigate potential overlap between shark foraging effort and prey distributions. Accelerometer and tracking data showed that the tidal phase significantly affected space use, activity and behaviour. Sharks used nearshore areas over the high tide periods where resting increased and activity levels were reduced. On falling tides sharks moved further from the shoreline and increased overall activity. Foraging effort peaked at low tide periods and foraging events overlapped with areas of disproportionately high preferred prey abundance. Ontogenetic patterns were also found in which larger sharks generally occupied larger home ranges, spent more time in areas further offshore, rested less and foraged more than smaller individuals. The data sets provided here support the findings reported in this manuscript. Data include overall dynamic body acceleration (ODBA) and behavioural data logged from animal-attached accelerometer devices, coordinate data representing shark tracking locations and BRUV data representing distribution and abundance of fish species at the study site.
DOI: 10.17632/463vjsfr7d
title: The tensile properties of flanged NiTi pin fabricated by laser rod end melting and immediate flange processing

description: Coaxial camera recording of laser rod end melting of NiTi alloys.
DOI: 10.17632/62nm9fvh42
title: Pilot Studio Benchmark for a Round Robin Test on Room Acoustics Wave-Based Simulations

description: Broadband wave-based simulation methods have been applied to an increasing number of 3D virtual rooms thanks to recent scientific and computational advances. The present Round Robin Test (RRT) focuses on practical aspects of room acoustics simulation, using any wave-based approach (FEM, BEM, FDTD, FVTD, etc...). The overall goal is to share a solid benchmark platform, which can be helpful to acousticians, engineers, and scholars. The shared materials will allow running simulations with different wave-based techniques and by various operators starting from the same models and boundary conditions. 
Expected outcomes: 
1)	Results are compared against measurements and among the simulation tools (ISO 3382 room criteria and frequency responses)
2)	Uncertainty information for boundary conditions 

The following materials are provided: 3D Model (SketchUp 2017), Measurements (ISO 3382),  Sound absorption coefficients
Materials to be shared for implementing the Round Robin Test dataset: Simulated IRs (.wav),  Boundary conditions employed (complex-valued surface impedances)
For more information about the case study: https://doi.org/10.3390/app11062445
You can send your interest and materials to giulia.fratoni2@unibo.it
DOI: 10.17632/769nd6pz8m
title: Synchrotron X-Ray Diffraction Data during Tensile Loading of a Duplex Steel containing B2 Precipitates in Ferrite_Enhanced Data Processing

description: This dataset contains raw and partially processed diffraction data for the dataset “Synchrotron X-Ray Diffraction Patterns during Tensile Loading of a Duplex Steel containing B2 Precipitates in Ferrite”. It supersedes Version 1, published in 2023, with significant enhancements in data processing. For instance, the automated peak fitting procedure has been improved to deconvolute closely spaced diffraction peaks pertaining to fine and coarse B2 precipitates in the tensile loading direction. In contrast to Version 1, peak fitting in Version 2 is not performed for the data in the transverse direction.
For additional details, refer to the PDF file titled "Readme_Version 2," which has been uploaded alongside the data.
DOI: 10.6084/m9.figshare.12423872.v2
title: Head CT collection for patient-specific craniofacial implant (PSI) design

description: Patient-specific cranial implants are used to repair bone defects in the human skull after trauma or previous surgery. Currently, cranial implants are designed and produced by third-party suppliers, which is both time-consuming and expensive. Recent advances in additive manufacturing (AM) made the in-hospital or in-operation room (in-OR) fabrication of personalized implants feasible. However, the design of implants is still manually performed by external manufacturer. To facilitate an optimized surgical workflow, fast and automatic implant design is highly desirable. Data-driven approaches, such as deep learning, show great potential towards automatic implant design. However, a considerable amount of data is needed to train such algorithms which is, especially in the medical domain, often a bottleneck. Therefore, we present a data set containing CT scans of healthy skulls from 24 patients, in which we injected various artificial cranial defects, resulting in 240 data pairs. In addition, we provide the 240 corresponding implants for these data pairs. With our collection, we also disclose a toolbox for processing our data, providing users wanting to work on automatic cranial implant design a solid base for their research.<br><b>Toolbox Link:</b><br>https://github.com/Jianningli/SciData<br><b>Please use the following citation if you use the data in your work:</b><br>J. Li, et al. Head CT Collection for Patient-specific Craniofacial Implant (PSI) Design. Figshare, 2020.<br>J. Li, et al. Synthetic Skull Bone Defects for automatic Patient-specific Craniofacial Implant Design. Sci. Data, 2020.<br><b>The datasets can be viewed with StudierFenster:</b><br>www.studierfenster.at<br><b>Please see also our AutoImplant Challenge for cranial implant design:</b><br>https://autoimplant.grand-challenge.org/<br><br>
DOI: 10.6084/m9.figshare.16695457.v3
title: Phodopus roborovskii assembly

description: De novo genome assembly of Phodopus roborovskii from ONT and Illumina data.
DOI: 10.6084/m9.figshare.27995546.v2
title: <i>Obscuromonas modryi</i> predicted proteins

description: Protein-coding genes of <i>Obscuromonas</i> spp. were predicted and annotated by Companion Protozoa v1.0.2 (Steinbiss et al. 2016). Predicted proteins shorter than 30 aa were removed from the datasets.
DOI: 10.6084/m9.figshare.29093915.v3
title: data

description: The catchment info dataset includes annual meteorological and hydrological data. The FBVs dataset contains information about flat-bottomed valleys. The Sediment_ER_CD dataset provides rating curves and sediment load for the CD gauging station, while Sediment_NX_AL contains corresponding data for the NX gauging station.
DOI: 10.6084/m9.figshare.6813404.v1
title: icsd_164801.cif

description: structure<br>
DOI: 10.6084/m9.figshare.7358708.v1
title: Figure 2 + Additional file 6: Figure S4

description: Raw data used for creating Figure 2 and Additional file 6: Figure S4 of the paper "A Label-free Multicolor Optical Surface Tomography (ALMOST) imaging method for nontransparent 3D samples". Files are combined in compressed 7-Zip archive(s).
DOI: 10.17028/rd.lboro.7837940.v1
title: The DEFACTO Field Trial: Methodology and Data Sets

description: The DEFACTO Field Trial was undertaken as part of a 6-year EPSRC-funded research project (grant EP/K00249X/1) from 1 November 2012 to 31 October 2018, aimed at measuring the energy saving capability of so-called ‘smart’ heating controls when used with gas-fired, low-pressure hot water central heating systems. This report describes the conduct of the field trial, the methodology adopted for its execution, the data that were collected and the cleaning of those data. Materials used in the field trial are presented in Appendix A (Pilot Study) and Appendix B (Main Study) to this report.
DOI: 10.17632/7cym7bnx39
title: Comparing the Hydrodynamic Piezoelectric Technique with Osseodensification for the Assessment of Internal Sinus Iifting: (a Randomized Clinical Trial)

description: Randomize clinical trial
DOI: 10.17632/rjxv7yknmt
title: 儿童青少年

description: 数据
DOI: 10.6084/m9.figshare.26035864.v1
title: Pmes_MAKER

description: Gene annotation with MAKER for Piaractus mesopotamicus genome.
DOI: 10.6084/m9.figshare.27198624.v1
title: PRAFIT dataset.zip

description: This dataset contains anonymized data collected for the PARFAIT study on stress detection using AI and HRV analysis. It includes physiological data from various participants(health workers)ans also the IBM survy .
DOI: 10.6084/m9.figshare.29107706.v1
title: The movement trajectories of the tadpoles

description: After 15 days of paraquat exposure, tadpoles from each treatment group were subjected to an open-field test to quantify their movement trajectories. For each trial, a single tadpole was transferred from its respective treatment group to an empty container filled with 3 liters of water. After a 3-minute acclimation period, its movements were recorded for 3 minutes. 18 tadpoles were randomly selected from each treatment group (six tadpoles per container), resulting in 90 individual movement recordings. Video recordings were conducted using a Sony camera. The recorded videos were processed to generate frames at two-second intervals. These processed videos were then imported into the AnimalTracker software to generate the movement trajectories of the tadpoles [37]. The coordinate data for each frame were exported to calculate the swimming trajectories and movement speeds of the tadpoles
DOI: 10.6084/m9.figshare.29149946.v1
title: UNSW_NB15_training-set.csv

description: The UNSW-NB15 dataset was developed by the Australian Centre for Cyber Security (ACCS) in 2015 to reflect contemporary real-world network traffic and attack scenarios. It was generated using the IXIA PerfectStorm simulation tool to emulate realistic network traffic over a cyber range, covering both normal behavior and malicious activities.
DOI: 10.17632/6xn8htk358
title: Item Pool and Parameters for Definitions Project

description: The current project titled, “The Effect of Definitions, Contextual Support, and Cognate Status on 4th Grade Spanish-speaking English Learners' (ELs) Understanding of Unfamiliar Words in Text”, was funded by the Institute of Education Sciences. Our research team conducted two experiments to help Spanish-speaking English learners (ELs) understand academic words in English. ELs often come across unfamiliar words when they read, which can make it challenging to comprehend what they're studying. Knowing these words is crucial for better reading and understanding. In our experiments, we tried different methods to assist ELs in learning new academic words and comprehending them when they read. We looked at how providing various types of definitions, using similar words from their native language (cognates), and offering context-related support could improve their ability to learn these words and read texts that contained them. Our findings suggest that fourth-grade Spanish-speaking ELs benefit equally from Spanish and English definitions for learning English words, but this might depend on their Spanish vocabulary skills. Students with higher Spanish vocabulary benefit more from Spanish definitions than students who are low in their overall Spanish vocabulary knowledge. The findings from these studies will guide the development of future programs designed to support Spanish-speaking ELs in building their academic vocabulary. Additionally, our research results will also influence the types of accommodations provided to ELs during assessments. Contents of the dataset include:

Table 1. Item Stems and Response Options for 141 Items from the Word Definition Learning Assessment (WDLA) Item Pool
Table 2. Linguistic Parameters for 141 Items from the Word Definition Learning Assessment (WDLA) Item Pool
Table 3. Item Stems and Response Options for 108 Items from the Word-Meaning-in-Context (WMC) Assessment Item Pool
Table 4. Linguistic Parameters for 108 Items from the Word-Meaning-in-Context (WMC) Assessment Item Pool
DOI: 10.17632/8yz89ct4br
title: Data for: Results from a preliminary longitudinal analysis on experiential avoidance’s role in self-reported health outcomes in breast cancer patients

description: Dataset with 40 participants with breast cancer, and two assessment moments Self-report measures: AAQ-II, WHOQOL-bref, DASS-21
DOI: 10.17632/wgjsz4n4rb
title: Abstracts_Ophthamology_NLP_dataset

description: Our retinal diseases (RenD) dataset comprises of 1000 articles sourced from PubMed, covering various conditions such as diabetic retinopathy (DR), glaucoma, diabetic macular edema (DME), age-related macular degeneration (AMD), cataract, dry eye, retinal detachment, and central serous retinopathy (CSR). To ensure accurate categorization, we enlisted the expertise of six domain specialists who meticulously annotated the articles based on abstracts. To ensure accuracy and reliability in the annotation process, each article in our dataset is reviewed and annotated by at least three individual annotators (see supplemental Table A1 for guidelines for the data annotation). This multiple-annotator approach helps mitigate potential biases and inconsistencies that could arise from a single annotator's perspective. Once the annotation was completed, the final label for each article is determined based on majority voting.
DOI: 10.6084/m9.figshare.27932181.v1
title: Forestation: land availability and carbon sequestration

description: This dataset is associated with the publication, "Global climate change mitigation from forestation is limited by land availability and policy commitments", including: Data S1. Soil carbon sequestration rates and its RMSPE (Mg C ha-1yr-1) (0-60cm), ecosystem carbon sequestration rate (Mg C ha-1yr-1).Data S2. Qin24 potential land spatial distribution (0.01°) (ha).Data S3. Potential and committed land area by country.