cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28100562.v1
title: Trub, a Brewing Byproduct, Is an Innovative and Valuable Source of Nutrients and Natural Antioxidants Viable for Fish Dietary Supplementation

description: The present study investigated the nutritional composition, phenolic profile, and antioxidant activity of trub, a byproduct of the brewing industry, for its use in the formulation of aquatic feeds. High performance liquid chromatograph-electrospray ionization-tandem mass spectrometry (HPLC-ESI-MS/MS) was used to determine the phenolic compound profile, and 2,2-azinobis (3-ethylbenzothiazoline-6-sulfonic acid)/2,2-diphenyl-1-picrylhydrazyl (ABTS/DPPH) assays were used to determine the antioxidant activity. Two samples of trub (approximately 500 g) were characterized: sample A, composed of malts Pilsen, Pale Ale, and Caramunich II and hops Herkules and Fuggle, and sample B, composed of malts Pilsen, Pale Ale, and Melanoidin and hops Cascade, Chinook, and Amarillo. The trub B contained carbohydrates and proteins, and its extracts had high total phenolic (754.74 ± 0,08 mg 100 g<sup>−1</sup>) and total flavonoid (894.71 ± 0.16 mg 100 g<sup>−1</sup>) contents. In the trub extracts, 21 (trub A) and 19 (trub B) polyphenols were identified, of which 17 and 14 were quantified in trub A and B, respectively. Ferulic and protocatechuic acids were found in greater concentrations, followed by isoquercitrin and p-coumaric acid. With respect to antioxidant activity, trub A showed greater activity in the DPPH assay (2.13 ± 0.01 mg mL<sup>−1</sup>), whereas trub B showed greater activity in the ABTS assay (29.07 ± 0.15 mg mL<sup>−1</sup>), which could be related to the content and variety of phenolic compounds in the samples. These results indicate that both trub extracts can be sources of natural antioxidants with significant potential for fish dietary supplementation.
DOI: 10.6084/m9.figshare.3555423.v1
title: Appendix D. Additional information on burrow temperature and efficiency of snow insulation during winter.

description: Additional information on burrow temperature and efficiency of snow insulation during winter.
DOI: 10.6084/m9.figshare.6273113.v1
title: The Structural and the Magnetic Properties of Aluminum Substituted Yttrium Iron Garnet

description: In this paper, Y3AlxFe5-xO12 powders with x = 0.0, 0.2, 0.4, 0.6, 0.8, and 1.0 were prepared via solid state reaction method. X-ray diffraction, Vibrating Sample Magnetometry, and Mössbauer Spectroscopy were used to study their structural and magnetic properties. The XRD patterns of the samples show single phase structure with decreasing lattice constant when increasing Al concentration. The saturation magnetization decreases from 28.0 to 10.1 emu/g with increasing Al3+ from 0.0 to 1.0 due to the reduction of the superexchange interactions between iron ions in the a and d sublattices. Room temperature Mössbauer spectra for the samples were collected and analyzed. The hyperfine field values for octahedral and tetrahedral sites of the samples decreased with increasing Al concentration. Moreover, Mössbauer results have shown that Al3+ ions prefer to replace Fe+3 at the octahedral sites.
DOI: 10.6084/m9.figshare.7358885.v1
title: ATACseq_Matrix

description: The Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) is a fundamental epigenomics approach and has been widely used in profiling the chromatin accessibility dynamics in multiple species. A comprehensive reference of ATAC-seq datasets for mammalian tissues is important for the understanding of regulatory specificity and developmental abnormality caused by genetic or environmental alterations. Here, we report a mouse ATAC-seq atlas by producing a total of 66 ATAC-seq profiles from 20 primary tissues of both male and female mice. The ATAC-seq read enrichment, fragment size distribution, and reproducibility between replicates demonstrated the high quality of the full dataset. We identified a total of 296,574 accessible elements, of which 26,916 showed tissue-specific accessibility. Further, we identified key transcription factors (TFs) specific to distinct tissues and found that the enrichment of each TF reflects the developmental similarities across tissues. In summary, our study provides an important resource on the mouse epigenome and will be of great importance to various scientific disciplines such as development, cell reprogramming, and genetic disease.
DOI: 10.17632/tv9ghswj4x
title: Data for: Photodiode Characteristics of HfO2 Thin Films Prepared by Magnetron Sputtering

description: Data and figure for XRD, XPS, SEM and Current-Voltage
DOI: 10.6084/m9.figshare.13601405.v1
title: Cell Cycle Features from FACED

description: Cell Cycle MD-MB231 and MCF7 cells of 38 morphological feature. Files for raw and normalized data used for VIA trajectory inference. Phase determined by Fluorescence intensity serves as ground truth G1/S/G2(M)
DOI: 10.6084/m9.figshare.28379558.v2
title: <b>Rethinking high carbon emissions associated with thick sediments in reservoirs</b>

description: Dams trap sediments and create carbon emission hotspots within reservoirs, fueling ongoing debates about their contributions to atmospheric greenhouse gas levels. This study introduced the concept of carbon emissions per unit mass or volume of sediment as carbon emission intensity (CEI), examined its correlation with sediment thickness using 58 global data sets, and clarified the impact of sediment thickness on CEI through incubation experiments. Here, we share the global data that support the findings of this study.
DOI: 10.6084/m9.figshare.28904759.v1
title: BTB pilot set NRM ARM

description: Pilot Data for RPI study of BTB13
DOI: 10.17632/g7kf8x38ym
title: Hematological Dataset

description: - Researchers Information 
Safa S. Abdul-Jabbar, Alaa k. Farhan
1Computer Science Dept., College of Science for Women, University of Baghdad, Baghdad, Iraq
2Computer Science Dept., University of Technology, Baghdad, Iraq

-Context
This is the first Dataset for various Hematology patients in Iraq. The Dataset provides the patients’ Cell Blood Count test information that can be used to create a Hematology diagnosis/prediction system. Also, this Data was collected in 2022 from the Medial City / Hematology Center and can be cleaned & analyzed using any programming language because it is provided in an excel file that can be accessed and manipulated easily. 
- Content
This Dataset contains 300 rows. For each row (patient information), there are 28 columns containing CBC test features that can be described as follows:
1.	ID: Patients Identifier
2.	Gender: Patient sex (0 for Female and 1 for Male)
3.	DevTyp: Device Type (1 or 2)
4.	WBC: White Blood Cell 
5.	LYMp: Lymphocytes percentage, which is a type of white blood cell
6.	MONp: Monocytes percentage, which is a type of white blood cell
7.	NEUp: Neutrophils percentage, which is a type of white blood cell
8.	EOSp: Eosinophils percentage, which is a type of white blood cell
9.	BASOp: Basophils percentage, which is a type of white blood cell
10.	LYMn: Lymphocytes Number
11.	MONn: Monocytes Number
12.	NEUn: Neutrophils Number
13.	EOSn: Eosinophils Number
14.	BASOn: Basophils Number
15.	RBC: Red Blood Cell
16.	HGB: Hemoglobin
17.	HCT: Hematocrit is the proportion, by volume, of the Blood that consists of red blood cells
18.	MCV: Mean Corpuscular Volume
19.	MCH: Mean Corpuscular Hemoglobin is the average amount of haemoglobin in the average red cell 
20.	MCHC: Mean Corpuscular Hemoglobin Concentration.
21.	RDWSD: Red Blood Cell Distribution Width
22.	RDWCV: Red blood cell distribution width
23.	PLT: Platelet Count
24.	MPV: Mean Platelet Volume
25.	PDW: Red Cell Distribution Width
26.	PCT: The level of Procalcitonin in the Blood
27.	PLCR: Platelet Large Cell Ratio
28.	PLCC: Platelet Large Cell Count
- Acknowledgements
We thank the entire Medial City / Hematology Center team, especially ( Dr Mohammed Saleem Abbas) the director of the Hematology Center, for cooperating with us in collecting this data while maintaining patients' confidentiality.
DOI: 10.6084/m9.figshare.26516002.v1
title: Prophet_viability_plate.xlsx

description: Viability readouts in 9 lines for 352 small compounds, with 3 replicates.
DOI: 10.6084/m9.figshare.26954845.v1
title: Probe signal_Classification.rar

description: <br>Probe signals_ClassificationMachine learning was performed by MATLAB. More than 400 events of each analyte type were collected to form a dataset. The label for each event was assigned with the known identity of the analyte. The dataset was then split into a training set (80%) and a testing set (20%) for model training and model testing. I/I0 and SD of events were employed as event features. Model training was performed using the Classification Learner toolbox of MATLAB. Mainstream classifiers were estimated with default settings. According to results of five cross validation accuracy and the testing accuracy, the model demonstrating the best performance would be chosen for further use. ****************************************************************************************************************************************************1. System requirements Hardware Requirements: RAM: 16+ GB CPU: 4+ cores, 3.3+ GHz/core GPU: NVIDIA GTX 1080 Software Requirements: MATLAB R2022b2. Introduction Probe signals_Classification is meant to serve as a machine learning-based nanopore analysis platform using MATLAB for the identification of different PTMs peptides. The program contains two steps as follows: a. Import dataset. b. Open "Classification Learner" APP in MATLAB. c. Train Classifier splits the dataset into a training dataset(80%) and a testing dataset(20%), then outputs training accuracy, testing accuracy and confusion matrix. 3. Operating procedures: <br> -Unzip the Probe signals_Classification.rar to local folder. <br> -Open either Probe signals_Classification.m in MATLAB<br> -Enter the file name of the training dataset. // example: dataset.xlsx<br> -Run Probe signals_Classification.m<br>4. Output The values of the variables 'validationAccuracy' and 'TestingAccuracy ' are output in the MATLAB.
DOI: 10.17632/dc7g2pvn86
title: Highway GPR DATASETS

description: Using GPR to detect the layer-interface of highway underground and obtain the GPR profiles.
DOI: 10.17632/zjkt3zd286
title: Data for: Corporate Ownership and Managerial Turnover in China and Eastern Europe: A Comparative Meta-Analysis

description: Original dataset for the article titled "Corporate Ownership and Managerial Turnover in China and Eastern Europe: A Comparative Meta-Analysis" submitted to the Journal of Economics and Business
DOI: 10.25452/figshare.plus.18131234.v1
title: Side DepthImages supporting Paper "Functional movement screen dataset collected with two Azure Kinect depth sensors"

description: This is depth images of Azure Kinect sensor in side position.<br> This dataset supports the following publication: Xing, QJ., Shen, YY., Cao, R. et al. Functional movement screen dataset collected with two Azure Kinect depth sensors. Sci Data 9, 104 (2022). https://doi.org/10.1038/s41597-022-01188-7 <br>See related materials in collection at: https://doi.org/10.25452/figshare.plus.c.5774969 <br>Collection Description: This presents a dataset for vision-based autonomous functional movement screen (FMS) collected from 45 human subjects of different ages (18-59 years old) executing the following movements: deep squat, hurdle step, in-line lunge, shoulder mobility, active straight raise, trunk stability push-up, and rotary stability. Specifically, shoulder mobility was performed only once by different subjects, while the other movements were repeated for three episodes each. Each episode was saved as one record and was annotated from 0 to 3 by three FMS experts. The main strength of our database is twofold. One is the multimodal data provided, including color images, depth images, and 3D human skeleton joints. The other is the multiview data collected from the two synchronized Azure Kinect sensors in front of and on the side of the subjects. Finally, three-dimensional trajectories, quaternions, and 2D pixel trajectories of 32 joints were recorded. Our dataset contains a total of 1812 recordings, with 3624 episodes. The size of the dataset is 158 GB. As a supplement, we also provide color image data from the other two cameras (back and side low positions). This dataset provides the opportunity for automatic action quality evaluation of FMS.
DOI: 10.6084/m9.figshare.12226943.v1
title: making-usearch-compatible-tax-file-from-dada2-silva-v138-format.sh

description: code used to convert dada2-formatted silva v138 database into usearch-format
DOI: 10.6084/m9.figshare.14347004.v1
title: all_location_data_2.R

description: R data file containing all species and location (i.e., environmental data) needed for analyses.
DOI: 10.6084/m9.figshare.21835062.v1
title: File 1

description: Statistical results of each sample sequence before merging
DOI: 10.17632/d7kjy4vmm6
title: Towards an improved platform for dengue and Zika virus virus-like particle production 

description: FAME analysis Using GC-QTOF with HP-88 (100m) column for the manuscript entitled Towards an improved platform for dengue and Zika virus virus-like particle production
DOI: 10.17632/mgsvpzzfg8
title: RawDataSet_MCS

description: ABSTRACT: The purpose of this study is to utilize a Monte-Carlo Simulation (MCS) to study the behaviour of water diffusion within the white matter to have a better understanding of the ultrahigh-b DWI (UHb-DWI) signal-b of spinal cord white matter. Recently, UHb-DWI method presented a novel biomarker with very high specificity to demyelination in the cervical spinal cord. It is an advanced version of diffusion-tensor MRI (DTI) and diffusion-kurtosis MRI (DKI) with greatly simplified data acquisition. While conventional DTI relies on the water diffusion within the extra-axonal (EA) space, UHb-DWI provides information about water exchange across the myelin sheath as well as intra-axonal (IA) and EA spaces. The MCS of the water diffusion within the one-dimensional white-matter, such as spinal cord and optic nerve, has been very helpful to understand the deep microscopical environment with different pathology in active lesion of the cervical spinal cord (CSC) in patients with multiple sclerosis (MS). MCS experiment was performed with various degrees of demyelination and axonal loss. The measured UHb-DWI signal from the active lesion and normal-appearing white-matter region MS CSC were matched to the signal-b curves, which were numerically synthesized for various fractions of demyelination and axonal loss, to search for the best matching curve. Although we present the date from the cervical spinal cord of MS CSC, the method can be applied to other white-matter diseases, such as amyotrophic lateral sclerosis (ALS) and degenerative cervical myelopathy (DCM) as well.

DATA DESCRIPTION: There is one raw data set: Numerical Monte-Carlo Simulation (MCS) data. MCS data can be processed using the included processing software, written in Python 3.x.Signal-b curve can be generated using these MCS data and software for diffusion gradient applied along angle from the fiber direction, for instance 0 degree for axial DWI and 90 degree for radial DWI.
DOI: 10.6084/m9.figshare.1431584.v2
title: Mid-Holocene site HSAP 057 lithic database

description: NEXT UPDATE: JULY 2018<br>Dataset concerning a prehistoric lithic assemblage from the fourth cataract area, Sudan. During the Merowe Dam Archaeological Salvage Project in 2007, the Hungarian mission surveyed and excavated an area along the river Nile. One of the sites was HSAP 057, a mid-Holocene surface site. The collected lithics are under investigation by the author, the research data is made available here. Further contextual informations can be found in the attached document.
DOI: 10.6084/m9.figshare.29094065.v1
title: Seismic Pattern Changes Before the 2011 Tohoku Earthquake Revealed by exploratory data analysis

description: The ability to predict earthquakes is invaluable, especially in high-risk seismic zones, yet precise predictions remain elusive. One potential reason is the limited integration of statistical approaches in earthquake research. In this study, I employed exploratory data analysis (EDA), a data-driven parametric statistical method, to investigate seismic records from Japan, using data provided by the Japan Meteorological Agency. The intervals between earthquakes closely followed an exponential distribution, defined by a single parameter, <i>λ</i>, representing event frequency. In contrast to the conventional Gutenberg-Richter law, earthquake magnitudes conformed to a normal distribution, characterised by two parameters: <i>µ</i> (mean) and <i>σ</i> (scale). After establishing these distributions and their parameters, significant shifts became evident. Before the 2011 Tohoku Pacific Ocean earthquake, notable changes emerged: earthquake intervals initially shortened, possibly reflecting energy destabilisation around asperities at plate boundaries, followed by an increase in the magnitude scale. These patterns suggest tectonic plates are heterogeneous, with varying boundary rigidity. Additionally, moving averages of magnitude exhibited substantial fluctuations, reaching unusually high levels. Identifying such anomalies accurately required understanding baseline distributions under normal conditions. Broadening the use of EDA across diverse seismic datasets could improve prediction accuracy. This study underscores the importance of statistical methodologies in seismic research and provides critical insights for enhancing seismic risk assessment.<br>
DOI: 10.6084/m9.figshare.7218725.v2
title: ADHD Pupil Size Dataset

description: Data are organized in a Matlab® structure array called Pupil_dataset, which contains one index per session recorded. The structure contains five fields:<br> <i>Subject</i>. An integer identifying a given participant.<br>Age. Participant age (in years), at the moment of performing the task.<br><i>Group</i>. Experimental group: ‘off-ADHD’, ‘on-ADHD’ and ‘Ctrl’, indicating off-medication ADHD participant, on-medication ADHD participant, and control participant, respectively.<br><i>Task_data</i>. Table array containing all the raw data from that participant and session. The data are arranged in four columns: ‘Time’, provides the timestamps in milliseconds. ‘Diameter’, contains the pupil diameter, in arbitrary units. ‘Position’, contains the x- and y-coordinates of the gaze positions, in pixels, relative to the screen size in pixels (1920 x 1080). ‘Events’, contains the relevant task and behavioral events.<br> <i>Task_epoch.</i> Table array containing processed pupil data, with one epoch per trial. Rows are trials and columns are events and data. ‘Trial’ column simply indexes the trial. ‘Load’ codes the memoranda types, indicating one-dot (1) or two-dot (2). ‘Distractor’ codes the distractor types. ‘CorrResponse’ contains the information about the correct response the participant was expected to give. ‘Perform’ corresponds to the participant’s performance, which could be either correct (1) or incorrect (0). ‘RTime’ contains the reaction time in milliseconds. ‘Pupil’ contains two vectors, containing the session timestamps and the the pupil in z-score units. The data in Task_epoch corresponds to the data used in Wainstein et al (2017). <br> <i>WISC</i>. This field consists of a table array with the WISC data. Each column corresponds to a subtest within WISC and the entries contain the associated scores.<br>
DOI: 10.17632/863psf5dcx
title: Data for: Cardiac Magnetic Resonance Imaging as a Prognostic Biomarker in Incident Treatment-Naïve Pulmonary Hypertension

description: This is the raw data used for the analysis, including de-identified patient demographics, clinical characteristics, results from echocardiographic, MRI, and right heart catheterization studies, and clinical outcomes
DOI: 10.6084/m9.figshare.24180582.v1
title: Supplementary data on Land Use Change.xlsx

description: Contains global datasets used for assessing the impact of different land use scenarios on soil organic carbon stocks
DOI: 10.6084/m9.figshare.28473569.v1
title: Annual precipitation, average annual temperature, population, and GDP data of Chongming (2006,2010,2015,2021)

description: Annual precipitation, average annual temperature, population, and GDP data of Chongming Eco-island (2006,2010,2015,2021)
DOI: 10.6084/m9.figshare.22492345.v1
title: Data for Brivio two dimensional

description: This repository contains the data needed to reproduce the results in the paper Two-dimensional carrier gas at a polar interface without surface band gap states: A first principles perspective. The paper has been submitted to APL Materials. The preprint are available at: https://arxiv.org/abs/2303.03842 The GitLab repository: https://gitlab.com/cippo1987/data-for-brivio-two-dimensional/-/tree/main/Structures <br> <br> <br>
DOI: 10.6084/m9.figshare.24648438.v2
title: Densities, biomasses, body masses of canopy and soil arthropods, birds, and earthworms from rainforest and plantations in Sumatra, Indonesia

description: The dataset represents raw data and R code used in the publication "Rainforest transformation reallocates energy from green to brown food webs". The data was collected in Jambi province, Sumatra, Indonesia from rainforest, jungle rubber, rubber, and oil palm plots. We collected canopy arthropod communities using insecticide fogging, soil arthropod and earthworm communities using Kempson extractors and assessed bird communities using point counts and audio recorders. The data is organised in several Excel files: Data_All_raw and Data_All_2016_raw reporting densities, biomasses, body masses and other traits (literature data) of canopy and soil arthropods, birds, and earthworms (data field descriptions are available inside the tables); Data_metabolicRates and Data_Resources are supplementary files for food-web reconstruction; Data_tree_height_2013 reporting tree heights from all trees from all plots that were used in sensitivity analysis; Numbers Birds, Numbers Canopy and Numbers Soil report raw counts of individuals; Rscript_FoodwebReconstruction is R script used for food-web reconstruction.
DOI: 10.6084/m9.figshare.28451045.v1
title: Supplementary Material for: The Role of Artificial Intelligence in Gynecologic Oncology Decision Making: A Feasibility Study

description: Objective: To examine the potential of artificial intelligence (AI) in gynecologic oncology decision making.
Design: Feasibility study.
Setting: Fictive.
Participants: Fictitious case vignettes of gynecologic carcinomas.
Methods: Fictitious case vignettes of gynecologic carcinomas were created and evaluated by physicians with varying levels of professional experience, as well as by language models including Chat-GPT 4.0, Google Gemini, and Bing-Copilot. Treatment approval decisions were based on standardized clinical and laboratory criteria. 
Results: Two cases of breast cancer, one case of ovarian cancer, one case of cervical cancer and one case of endometrial cancer were evaluated. All three language models were able to evaluate all clinical cases and make therapy-relevant suggestions, with Chat-GPT providing the most clear and concise recommendations that were in three cases totally consistent with physician assessments.
Conclusions: The study demonstrates that AI models, such as Chat-GPT, can to some extent evaluate clinical cases, recognize clinical and/or laboratory abnormalities and make therapy-related suggestions. Despite high overall agreement, differences were predominantly noted in the more complex cases, rendering human interpretation necessary. The findings underscore the benefits of AI in terms of clarity, time efficiency, and cost-effectiveness. Future research should further explore the application of AI to real patient data and development of hybrid decision models to optimize integration into clinical practice.
Limitations: Feasibility study with five fictitious case vignettes.