cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5516543
title: Wind Spatio-Temporal Dataset1

description: This dataset comprises the average and standard deviation of wind speed, collected from 120 turbines in an inland wind farm, for the years of 2009 and 2010. Missing data in the original dataset are imputed by using the iterative singular value decomposition. Two data files are associated with each year---one contains the hourly average wind speed, and the other contains the hourly standard deviation of wind speed. The naming convention makes it clear which year a file is associated with and whether it is for the average speed (Ave) or for the standard deviation (Stdev). The data arrangement in these four files is as follows---the columns are the 120 turbines and the rows are times, starting from 12 a.m. on January 1 of a respective year as the first data row, followed by the subsequent hours in that year. The fifth file in this dataset contains the coordinates of the 120 turbines. To protect the wind farm's identity, the coordinates have been transformed by an undisclosed mapping, so that their absolute values are no longer meaningful but the turbine-to-turbine relative distances are maintained. This dataset is used in Chapters 3 and 4 of the Data Science for Wind Energy book.
description: {"references": ["Ding, Y. (2019) Data Science for Wind Energy, Chapman & Hall/CRC Press, Boca Raton, FL"]}
DOI: 10.5281/zenodo.5516542
title: Wind Spatio-Temporal Dataset1

description: This dataset comprises the average and standard deviation of wind speed, collected from 120 turbines in an inland wind farm, for the years of 2009 and 2010. Missing data in the original dataset are imputed by using the iterative singular value decomposition. Two data files are associated with each year---one contains the hourly average wind speed, and the other contains the hourly standard deviation of wind speed. The naming convention makes it clear which year a file is associated with and whether it is for the average speed (Ave) or for the standard deviation (Stdev). The data arrangement in these four files is as follows---the columns are the 120 turbines and the rows are times, starting from 12 a.m. on January 1 of a respective year as the first data row, followed by the subsequent hours in that year. The fifth file in this dataset contains the coordinates of the 120 turbines. To protect the wind farm's identity, the coordinates have been transformed by an undisclosed mapping, so that their absolute values are no longer meaningful but the turbine-to-turbine relative distances are maintained. This dataset is used in Chapters 3 and 4 of the Data Science for Wind Energy book.
description: {"references": ["Ding, Y. (2019) Data Science for Wind Energy, Chapman & Hall/CRC Press, Boca Raton, FL"]}
DOI: 10.5281/zenodo.5516541
title: Wind Spatial Dataset

description: This dataset comes from ten turbines in an offshore wind farm. Only the hourly wind speed data are included. The duration of the data covers two months. The longitudinal and latitudinal coordinates of each turbine are given, but those coordinates are shifted by an arbitrary constant, so that the actual locations of these turbines are protected. The relative positions of the turbines, however, remain truthful to the physical layout. The data is arranged in the following fashion. Under the header row, the next two rows are the coordinates of each turbine. The third row under the header is purposely left blank. From the fourth row onwards are the wind speed data. The first column is the time stamp. Columns 2-11 are the wind speed values measured in meters per second. This dataset is used in Chapter 3 of the Data Science for Wind Energy book.
description: {"references": ["Ding, Y. (2019) Data Science for Wind Energy, Chapman & Hall/CRC Press, Boca Raton, FL"]}
DOI: 10.5281/zenodo.5516540
title: Wind Spatial Dataset

description: This dataset comes from ten turbines in an offshore wind farm. Only the hourly wind speed data are included. The duration of the data covers two months. The longitudinal and latitudinal coordinates of each turbine are given, but those coordinates are shifted by an arbitrary constant, so that the actual locations of these turbines are protected. The relative positions of the turbines, however, remain truthful to the physical layout. The data is arranged in the following fashion. Under the header row, the next two rows are the coordinates of each turbine. The third row under the header is purposely left blank. From the fourth row onwards are the wind speed data. The first column is the time stamp. Columns 2-11 are the wind speed values measured in meters per second. This dataset is used in Chapter 3 of the Data Science for Wind Energy book.
description: {"references": ["Ding, Y. (2019) Data Science for Wind Energy, Chapman & Hall/CRC Press, Boca Raton, FL"]}
DOI: 10.5281/zenodo.5516539
title: Wind Time Series Dataset

description: This dataset comes from a single turbine on an inland wind farm. The dataset covers the duration of one year, but data at some of the time instances are missing. Two time resolutions are included in the dataset: the 10-min data and the hourly data; the latter is the further average of the former. For each temporal resolution, the data is arranged in three columns. The first column is the time stamp, the second column is the wind speed, and the third column is the wind power. This dataset is used in Chapter 2 of the Data Science for Wind Energy book.
description: {"references": ["Ding, Y. (2019) Data Science for Wind Energy, Chapman & Hall/CRC Press, Boca Raton, FL"]}
DOI: 10.5281/zenodo.5516538
title: Wind Time Series Dataset

description: This dataset comes from a single turbine on an inland wind farm. The dataset covers the duration of one year, but data at some of the time instances are missing. Two time resolutions are included in the dataset: the 10-min data and the hourly data; the latter is the further average of the former. For each temporal resolution, the data is arranged in three columns. The first column is the time stamp, the second column is the wind speed, and the third column is the wind power. This dataset is used in Chapter 2 of the Data Science for Wind Energy book.
description: {"references": ["Ding, Y. (2019) Data Science for Wind Energy, Chapman & Hall/CRC Press, Boca Raton, FL"]}
DOI: 10.6084/m9.figshare.16649209
title: Scleral morphometry.xlsx

description: Comparison of the temporal and nasal areas of the retina <i>N. guentheri</i>
DOI: 10.6084/m9.figshare.16649209.v1
title: Scleral morphometry.xlsx

description: Comparison of the temporal and nasal areas of the retina <i>N. guentheri</i>
DOI: 10.6084/m9.figshare.16649206
title: Body morphometry.xlsx

description: Morphoanatomical parameters of <i>N. guentheri </i>adults
DOI: 10.6084/m9.figshare.16649206.v1
title: Body morphometry.xlsx

description: Morphoanatomical parameters of <i>N. guentheri </i>adults
DOI: 10.6084/m9.figshare.14414588.v9
title: Supplementary Tables and Figs for QTL mapping of barley resistance to SFNB.docx

description: Tables S1 and S2 showed the average disease scores for the segregating populations. Tables S3 and S5 provided genotype scores used for generation of linkage maps. Tables S4 and S6 showed the summary of seven genetic linkage groups generated with different RIL populations. Tables S7 and S8 provided detailed summary for the identified QTL. Table S9 included primer sequences for the STARP markers used in the present study. Figures S1 and S2 presented the STARP markers designed to assist breeding selection.
DOI: 10.6084/m9.figshare.16641505.v2
title: Supplemental Table 1. Characteristics of patients with SGPL1 mutations

description: Characteristics of patients with <i>SGPL1</i> mutations
DOI: 10.17632/45yzc7hr64.1
title: AMSU102813

description: Data in spss file
DOI: 10.17632/d53sjjrwyn.2
title: A novel metabarcoding deep amplicon sequencing tool for disease surveillance and determining the species composition of Trypanosoma in animals

description: Trypanosoma 18S rDNA reference sequence taxonomy library
DOI: 10.17632/fzv77yzshx.6
title: A data file of prospective single-centre randomized controlled trial investigating the efficacy of two-week therapy with doxycycline-based quadruple regimen versus levofloxacin concomitant regimen for Helicobacter Pylori infection in Syrian population.

description: Comparing the efficacy of two-week therapy with bismuth quadruple versus levofloxacin containing concomitant regimen for Helicobacter Pylori infection in Syrian patients. A randomized controlled trial
DOI: 10.17632/g6sn7ppk42.1
title: Data from: Ocean temperature and color frontal zones in the Gulf of Mexico: Where, when, and why

description: This dataset consists of the monthly 9-km frontal gradient magnitude (FGM) of sea surface temperature and color index (CI) in the Gulf of Mexico during 08/2002 - 04/2019. Please refer to the paper "Ocean temperature and color frontal zones in the Gulf of Mexico: Where, when, and why" for detailed information.
DOI: 10.17632/gr3jdrf4jg.1
title: Does prior exposure to immune checkpoint inhibitors treatment affect incidence and mortality of COVID-19 among the cancer patients: The systematic review and meta-analysis

description: Immune checkpoint inhibitors treatment affect incidence and mortality of COVID-19 among the cancer patients
DOI: 10.17632/7chdr568x7.3
title: Egyptian Stock Exchange (EGX)

description: Houssein, Essam H., Mahmoud Dirar, Kashif Hussain, and Waleed M. Mohamed. "Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks." Neural Computing and Applications 33, no. 11 (2021): 5965-5987.
DOI: 10.17632/z5cmb662pf.2
title: CT COVID-19 Images

description: Houssein, E. H., Emam, M. M., & Ali, A. A. (2021). Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images. Neural Computing and Applications, 1-21.
DOI: 10.17632/7n69drz82j.1
title: SARS-CoV-2 sequencing of university campus wastewater and wastewater treatment plant influent

description: Wastewater surveillance of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been leveraged during the Coronavirus Disease 2019 (COVID-19) pandemic as a public health tool at the community and facility level. In this study, we compare the sequence diversity of SARS-CoV-2 amplified from wastewater influent to the Columbia, South Carolina, metropolitan wastewater treatment plant (WWTP) and the University of South Carolina campus during September 2020, which represents the peak of COVID-19 exposure at the university during 2020.
DOI: 10.17632/58wghvz7sz.1
title: Dataset on the mass spectrometry-based proteomic profiling of mouse embryonic fibroblasts from a wild type and DYT-TOR1A mouse model of dystonia, basally and during stress

description: Here, we present quantitative subcellular compartment-specific proteomic data from three wild type and three DYT-TOR1A mouse embryonic fibroblast (MEF) cell lines basally and following thapsigargin treatment. Primary MEF cultures were generated from wild type and a heterozygous DYT-TOR1A mouse model of dystonia. These MEF cultures were subsequently treated with either 1 µM thapsigargin or dimethylsulfoxide vehicle for six hours. Following treatment, cells were fractionated into nuclear and cytosolic fractions which were then subjected to liquid chromatography, tandem mass spectrometry-based proteomic profiling. Proteomic analysis identified 65,056 unique peptides and 4801 unique proteins across all samples. In this dataset, we present the raw unprocessed mass spectrometry peaks from each sample, the raw peptide counts for each identified peptide within each sample, the raw protein counts for each identified protein within each sample, and the normalized protein counts for each identified protein within each sample.
DOI: 10.17632/r988t5h7ny.1
title: A BAYESIAN NETWORK FOR THE PSYCHOLOGICAL PREDICTION OF INJURIES IN PITCHERS

description: The files contain the database in SPSS, the results of the t-test and the Bayesian network.
DOI: 10.17632/f4445hrjcw.1
title: Supplementary data

description: 1. Optimization of RFIA for the SARS CoV-2 RBD-ACE2 blocking neutralization antibody.
2. The dual-detection ratiometric algorithm of T2/(T1+T2) method improved the precision compared with the method of single signal T/C which used in classical lateral flow assay.
DOI: 10.17632/c4jd8fjd68.1
title: Toxic Epidermal Necrolysis–Like Lupus Erythematosus, a condition to exclude in all patients with possible Stevens-Johnson syndrome/Toxic Epidermal Necrolysis

description: Review of the literature
DOI: 10.17632/b9b553k3gm.1
title: Waste Management Projection Research Dataset (2016-2020)

description: The Waste Management Projection research and publication dataset, which was indexed by Scopus from 2016 to 2020.
The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/c9fvknxdjf.1
title: Hanson and Batchelor 2020 Cell Reports

description: Single cell fluorescence microscopy data for Hanson R and Batchelor E, "Rucaparib treatment alters p53 oscillations in single cells to enhance DNA double strand break-induced cell cycle arrest." (2020) Cell Reports. Data description is provided in "Data and Code Availability" of the STAR Methods.
DOI: 10.17632/z5vxzmxphj.2
title: Modeling Water Redistribution of selective non-uniform biochar application to Palouse hills

description: Data for the paper "Modeling water redistribution of selective non-uniform biochar application to Palouse hills". This data comprises information regarding the exploration of using Redwood Sawdust (RSD) biochar as a precision agriculture technique in the Palouse region of the Northwest United States. This data shows promising results for the use of biochar as a precision agriculture technique and warrants further exploration through field testing and further model refinement.
DOI: 10.17632/cn8rp275m4.1
title: Thermodynamic analysis of hydrocarbon reforming raw data

description: The dataset describes the equilibrium composition of species obtained by hydrocarbon reforming processes at different conditions of temperature and pressure. The reforming feed is described based on oxygen to carbon and hydrogen to carbon ratios. The dataset is obtained using the RGIBBS reactor in Aspen Plus (v11) based on the SRK equation of state.
DOI: 10.17632/ggbktsx5xj.1
title: Dataset for "Properties of partially reduced TiO2: Blue titania"

description: Data related to the article: "Properties of partially reduced TiO2: Blue titania"

* TEM
- Images (.jpg and .dm3)

* SEM
- Images (.jpg)

* DRX
- Raw data (.xlsx, Excel program).
- Part of the Rietveld Refinement results and Spurr & Myers Quantification (.opj & .opju, Origin program).
- Crystallite Models (.mor, WinXMorph program): Distances of the crystallite were normalized, the longest distance was normalized to 10 (Anatase <100> and rutile <001>).

* Micro-Raman
- Raw data, data corrected on the Raman shift, results of the integration, analysis (.opj & .opju, Origin program).

* DRIFT
- Raw data (.opj & .opju, Origin program).

* Nitrogen Adsorption–Desorption Isotherms
- Raw data (.opj & .opju, Origin program).
DOI: 10.17632/6pgc25nk27.1
title: Fraxinus nigra flood ring dataset for the study of flood history (1850-2017) of the Driftwood River, northwestern Ontario

description: Data include sample replication (N) and flood-ring frequencies (F1, F2) derived from black ash (Fraxinus nigra Marsh.) trees growing in the floodplain of the Driftwood River in northwestern Ontario reported in "Flood ring production modulated by river regulation in eastern boreal Canada" published in "Frontiers in Plant Science - Quantitative Wood Anatomy to Explore Tree Responses to Global Change" by Nolin et al. in 2021c. 

DriftwoodFR.csv, as in Fig. 4, F1 and F2 flood-rings chronologies per sites and distance class with sample replication (N) to reproduce the flood-ring frequencies. Harricana River F1 and F2 flood ring chronologies from Nolin et al., 2021b are also provided. 

DriftwoodRW.csv, as in Fig. 5, the mean site chronologies of total ring width with sample replication (N). 

LAT_LON_Driftwood.kml, the coordinate data for each F. nigra stand sampled on the Driftwood River, including Monteith dam location, in Google Earth format (.kml)

meatadatas.txt, a set of self-explanatory instructions and descriptions for data files. 


All other data are available upon request to the corresponding author at alexandreflorent.nolin@uqat.ca (institutional email), alexandreflorent.nolin@gmail.com (permanent email).
DOI: 10.17632/r5t885ppf9.1
title: Qualitative assessments of antioxidants and carbohydrate hydrolysing enzymes activity of Adansonia digitata L fruit, and UPLC-MS metabolite determination.

description: We conducted HPTLC for metabolite derivatization and used bioautography for qualitative estimation of the antioxidant and the carbohydrate hydrolyzing enzyme inhibitory potential of the fruit. Tentative screening for metabolomics was conducted with UPLC-MS.
DOI: 10.17632/mv3tzvgjjz.1
title: Mechanical Couplings of Protein Backbone and Side Chains Exhibit Scale-free Network Properties and Specific Hotspots for Function

description: The zip file contains
1. The spring constant data obtained from structure mechanics statistical learning. 
2. Python code for construction of rigidity graphs and their statistical analysis.
3. A demo Jupyter notebook.
DOI: 10.6084/m9.figshare.16617889
title: Regulation of membrane phospholipids during the adult life of worker honey bee data set

description: Data set from our manuscript: Regulation of membrane phospholipids during the adult life of worker honey bee published in the Journal of Insect Physiology. <br>https://doi.org/10.1016/j.jinsphys.2021.104310<br>
DOI: 10.6084/m9.figshare.16617889.v1
title: Regulation of membrane phospholipids during the adult life of worker honey bee data set

description: Data set from our manuscript: Regulation of membrane phospholipids during the adult life of worker honey bee published in the Journal of Insect Physiology. <br>https://doi.org/10.1016/j.jinsphys.2021.104310<br>
DOI: 10.17632/ffd665mc4j.1
title: Development, maturation, and maintenance of human prostate inferred from somatic mutations

description: Somatic base substitutions called for 409 whole genomes of microdissections of normal human prostate epithelium. The data set is described in the publication: Grossmann et al. "Development, maturation, and maintenance of human prostate inferred from somatic mutations". Cell Stem Cell 2021: 28(7); 1262-1274.
DOI: 10.17632/t8rtzcgwxm.3
title: Automatic Pain Assessment in Horses

description: Dataset used to develop a machine learning algorithm for automatic pain assessment on horses. These images were acquired by extracting frames from videos of several days from horses that underwent castration. These frames were selected and evaluated through the process of labeling in order to be used on the training of a Convolutional Neural Network (CNN).
DOI: 10.6092/unibo/amsacta/6756
title: Raw data - Using musculoskeletal models to estimate in vivo TKR kinematics and loads: effect of differences between models

description: The dataset contains the results of the simulations performed to estimate in vivo total knee replacement (TKR) kinematics and loads presented in the paper “C. Curreli, F. Di Puccio, G. Davico, L. Modenese, and M. Viceconti, Using Musculoskeletal Models to Estimate in vivo Total Knee Replacement Kinematics and Loads: Effect of Differences Between Models, Frontiers in Bioengineering and Biotechnology, vol. 9, p. 611, 2021, doi: 10.3389/fbioe.2021.703508”. Specifically, the dataset contains a comparison of the kinematic and dynamic results obtained with three different musculoskeletal models developed using the OpenSim software. A comparison between the predicted joint reaction forces and the in vivo loads measured by the instrumented knee implant is also reported. Experimental data used for the simulations were obtained from the fifth edition of the “Grand Challenge Competitions to Predict in vivo Knee Loads” (https://simtk.org/projects/kneeloads).
DOI: 10.17632/8ntrx56pfk.2
title: Optimal Load in Wingate Test 

description: Data set of physically active men subjected to six relatives to body mass loads in Wingate Tests. Anthropometric data and physical activity practice data also were included.
DOI: 10.17632/jj9rvsct9w.1
title: Samatya Score

description: Samatya score
DOI: 10.17632/8k8yk2hy3k.1
title: Effects of Individual Discount Rate and Uncertainty Perception on Compliance with Containment Measures during the COVID-19 Pandemic

description: Survey data
DOI: 10.17632/nk4n3jcsk6.2
title: Gait Assessment of  Chinese Elderly in Daily Environment Using the "Pocket Gait" App

description: This data set corresponds to the paper entitled "Gait Assessment of the Elderly with a Smart-Phone App: Impacts of Walking States, Exercise Amount and Age". The dataset includes demographic information of the participants and gait parameters (step frequency, max acceleration, min acceleration, acceleration root mean square, step variability, step regularity and symmetry) in three walking states (normal, fast-walking and simulated visually impaired).
DOI: 10.17632/ty896h62xx.1
title: Clinical characteristics and misdiagnosis of pyoderma gangrenosum of the head and neck: A retrospective study

description: These files are for JAAD reviewer use only. These files supplement our manuscript, "Clinical characteristics of pyoderma gangrenosum of the head and neck: A retrospective study." Supplemental Figure 1 details the case selection process. Supplemental Table 1 depicts clinical characteristics, treatments, and healing outcomes of the previously unpublished cases of head and neck pyoderma gangrenosum.
DOI: 10.17632/j3cxr9mj89.1
title: Pseudo-angioedema in dermatomyositis patients indicates severe disease and poor prognosis

description: Supplemental Table and Figures referred to "Pseudo-angioedema in dermatomyositis patients indicates severe disease and poor prognosis".
Figure legend
Supplemental Fig 1. Dermatomyositis. A 61-year-old man with pseudo-angioedema on the face. A. Before the treatment of dermatomyositis. B. After the treatment of dermatomyositis.
Supplemental Fig 2. Dermatomyositis. A 75-year-old woman with pseudo-angioedema on the limb. A. Before the treatment of dermatomyositis. B. After the treatment of dermatomyositis.
DOI: 10.17632/gjy69zmnk8.3
title: K-12 online learning data_Hu

description: This study investigates the effects of K-12 students’ perceived presence and technology acceptance on their online learning motivation. The study analyzes and processes the questionnaire data of the participants, excluding questionnaires that were submitted in under 4 minutes (average submission: 8 minutes), questionnaires with identical answers, and contradictory choices, therefore it generated 13610 valid responses.