cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/3q67-j268
title: Diesel Engine Faults Features Dataset

description: The objective of this dataset is the fault diagnosis in diesel engines to assist the predictive maintenance, through the analysis of the variation of the pressure curves inside the cylinders and the torsional vibration response of the crankshaft. Hence a fault simulation model based on a zero-dimensional thermodynamic model was developed. The adopted feature vectors were chosen from the thermodynamic model and obtained from processing signals as pressure and temperature inside the cylinder, as well as, torsional vibration of the engine’s flywheel. These vectors are used as input of the machine learning technique in order to discriminate among several machine conditions. The database is expected to emulate all operating scenarios under study. In our case, all possible diesel machine faults and system conditions variations, which correspond to severities levels containing enough information to characterize and discriminate the faults. The developed database covered the following operating conditions: Normal (without faults), Pressure reduction in the intake manifold, Compression ratio reduction in the cylinders and Reduction of amount of fuel injected into the cylinders. In all scenarios, the motor rotation frequency was set at 2500 RPM. The rotation of 2500 RPM was used, since it presented the lowest joint error rate in the estimation of the mean and maximum pressures of the burning cycle, between the experimental data (according to data supplied by the manufacturer) and the simulated data, during the validation stage of the thermodynamic and dynamic models. The entire database comprises a total of 3500 different fault scenarios for 4 distinct operational conditions. 250 of which from the normal class, 250 from ``pressure reduction in the intake manifold" class, 1500 from ``compression ratio reduction in the cylinders" class and 1500 from the ``reduction of amount of fuel injected into the cylinders" class. This database is named 3500-DEFault database.
DOI: 10.17632/hh79js6nxt.1
title: Commodity Prices: Corn, soybeans, WTI crude oil and Henry Hub natural gas, Chicago Mercantile Exchange Group

description: Commodity Prices: Corn, soybeans, WTI crude oil and Henry Hub natural gas, Chicago Mercantile Exchange Group .
DOI: 10.15468/x3wyej
title: The New World Belonopterygini (Neuroptera: Chrysopidae): descriptions of a new genus and species from the West Indies and comparisons among the genera

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tauber, Catherine A. (2021): The New World Belonopterygini (Neuroptera: Chrysopidae): descriptions of a new genus and species from the West Indies and comparisons among the genera. Zootaxa 4975 (3): 509-543, DOI: https://doi.org/10.11646/zootaxa.4975.3.4
DOI: 10.17632/byjv249xcw.1
title: Positions data: Corn, soybeans, WTI crude oil and Henry Hub natural gas, US commodity Futures Trading Commission

description: Positions data: Corn, soybeans, WTI crude oil and Henry Hub natural gas, US commodity Futures Trading Commission.
DOI: 10.5281/zenodo.4917198
title: Data: A High-Throughput Phenotyping Tool to Identify Field-Relevant Anthracnose Resistance in White Lupin

description: The seed- and air-borne pathogen <em>Colletotrichum lupini</em>, the causal agent of lupin anthracnose, is the most important disease in white lupin (<em>Lupinus albus</em>) worldwide and can cause total yield loss. The aims of this study were to establish a reliable high-throughput phenotyping tool to identify anthracnose resistance in white lupin germplasm and to evaluate a genomic prediction model, accounting for previously reported resistance quantitative trait loci, on a set of independent lupin genotypes. Phenotyping under controlled conditions, performing stem inoculation on seedlings, showed to be applicable for high throughput, and its disease score strongly correlated with field plot disease assessments (<em>r</em> = 0.95, <em>P</em> &lt; 0.0001) and yield (<em>r</em> = –0.64, <em>P</em> = 0.035). Traditional one-row field disease phenotyping showed no significant correlation with field plot disease assessments (<em>r</em> = 0.31, <em>P</em> = 0.34) and yield (<em>r</em> = –0.45, <em>P</em> = 0.17). Genomically predicted resistance values showed no correlation with values observed under controlled or field conditions, and the parental lines of the recombinant inbred line population used for constructing the prediction model exhibited a resistance pattern opposite to that displayed in the original (Australian) environment used for model construction. Differing environmental conditions, inoculation procedures, or population structure may account for this result. Phenotyping a diverse set of 40 white lupin accessions under controlled conditions revealed eight accessions with improved resistance to anthracnose. The standardized area under the disease progress curves (sAUDPC) ranged from 2.1 to 2.8, compared with the susceptible reference accession with a sAUDPC of 3.85. These accessions can be incorporated into white lupin breeding programs. In conclusion, our data support stem inoculation-based disease phenotyping under controlled conditions as a time-effective approach to identify field-relevant resistance, which can now be applied to further identify sources of resistance and their underlying genetics.
DOI: 10.5281/zenodo.4917197
title: Data: A High-Throughput Phenotyping Tool to Identify Field-Relevant Anthracnose Resistance in White Lupin

description: The seed- and air-borne pathogen <em>Colletotrichum lupini</em>, the causal agent of lupin anthracnose, is the most important disease in white lupin (<em>Lupinus albus</em>) worldwide and can cause total yield loss. The aims of this study were to establish a reliable high-throughput phenotyping tool to identify anthracnose resistance in white lupin germplasm and to evaluate a genomic prediction model, accounting for previously reported resistance quantitative trait loci, on a set of independent lupin genotypes. Phenotyping under controlled conditions, performing stem inoculation on seedlings, showed to be applicable for high throughput, and its disease score strongly correlated with field plot disease assessments (<em>r</em> = 0.95, <em>P</em> &lt; 0.0001) and yield (<em>r</em> = –0.64, <em>P</em> = 0.035). Traditional one-row field disease phenotyping showed no significant correlation with field plot disease assessments (<em>r</em> = 0.31, <em>P</em> = 0.34) and yield (<em>r</em> = –0.45, <em>P</em> = 0.17). Genomically predicted resistance values showed no correlation with values observed under controlled or field conditions, and the parental lines of the recombinant inbred line population used for constructing the prediction model exhibited a resistance pattern opposite to that displayed in the original (Australian) environment used for model construction. Differing environmental conditions, inoculation procedures, or population structure may account for this result. Phenotyping a diverse set of 40 white lupin accessions under controlled conditions revealed eight accessions with improved resistance to anthracnose. The standardized area under the disease progress curves (sAUDPC) ranged from 2.1 to 2.8, compared with the susceptible reference accession with a sAUDPC of 3.85. These accessions can be incorporated into white lupin breeding programs. In conclusion, our data support stem inoculation-based disease phenotyping under controlled conditions as a time-effective approach to identify field-relevant resistance, which can now be applied to further identify sources of resistance and their underlying genetics.
DOI: 10.17632/p5gj2dzmpp.3
title: Data Set and Results for Generalized Order Acceptance and Scheduling with Batch Delivery (GOASB) Problem

description: This data set includes the test instances and computational results in the paper entitled as "Generalized Order Acceptance and Scheduling Problem with Batch Delivery: Models and Metaheuristics" (Tarhan and Oğuz) and to be published in Computers and Operations Research with the following doi: https://doi.org/10.1016/j.cor.2021.105414.
DOI: 10.17632/362szwsnc4.1
title: ST_URA8_Dataset_part_4

description: This is a dataset for Bluetooth 5.1 DoA applications with URA8 antenna arrays. It was conceived as a starting point for developing and validating DoA algorithms for real-life scenarios. Unlike other datasets, it contains Bluetooth signals with not only varying intensity of additive white Gaussian noise, but also coherent interfering signals with random DoA coordinates. The dataset is divided into two branches, one consisting of pure sinusoidal tones and the second comprised of baseband Bluetooth signals. The Python code which generated this dataset is included. Therefore, the dataset can be expanded and also modified to suit other types of signals and simulate other types of antenna arrays. Please note that this is only the first part of the dataset. The dataset is comprised of four parts, and you need to download all of them in order to recreate the entire directory structure. Part 1: http://dx.doi.org/10.17632/zjn2zxcgyz.1 Part 2: http://dx.doi.org/10.17632/gysjfpvxpm.1 Part 3: http://dx.doi.org/10.17632/nnv3vpy4y3.1 Part 4: http://dx.doi.org/10.17632/362szwsnc4.1
DOI: 10.17632/df9vgnjvdw.1
title: LINF_130021100

description: ras-like small GTPase | RagA Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.14770389
title: Post show discussion 2

description: Post show discussion with audience members to discuss the play Madame geneva
DOI: 10.6084/m9.figshare.14770389.v1
title: Post show discussion 2

description: Post show discussion with audience members to discuss the play Madame geneva
DOI: 10.17632/h44t3pvw22.1
title: S-ZORB device measured data and related code

description: The original data collection comes from Sinopec Gaoqiao Petrochemical's real-time database (Honeywell PHD) and LIMS experimental database. Among them, the operating variable data comes from a real-time database, the collection time is from April 2017 to May 2020, and the number of collection operation variables is 354. From April 2017 to September 2019, the data collection frequency was 3 minutes/time; from October 2019 to May 2020, the data collection frequency was 6 minutes/time. The properties of raw materials, products and catalysts are non-operational variables. The data comes from the LIMS experimental database. The data time range is from April 2017 to May 2020. The octane number of raw materials and products is an important modeling variable, and the data collection frequency is 2 times a week. The related code is given.
DOI: 10.17632/mttsvrbs78.1
title: Students’ experiences and parents’ perception of online classes, cyber abuse, and online sexual harassment.

description: This data was compiled using information from 2105 students and 1400 parents. The questionnaire (in English and Tamil) assessed the effectiveness of online classes, cyberbullying, and online sexual harassment as experienced by college students and perceived by their parents. The survey employed an online questionnaire to assess socio-demographic information (3 items), the effectiveness of online classes (5 items), online abuse (9 items), and online sexual harassment (5 items).
DOI: 10.17632/mttsvrbs78.2
title: Students’ experiences and parents’ perception of online classes, cyber abuse, and online sexual harassment.

description: This data was compiled using information from 2105 students and 1400 parents. The questionnaire (in English and Tamil) assessed the effectiveness of online classes, cyberbullying, and online sexual harassment as experienced by college students and perceived by their parents. The survey employed an online questionnaire to assess socio-demographic information (3 items), the effectiveness of online classes (5 items), online abuse (9 items), and online sexual harassment (5 items).
DOI: 10.25345/c55g0w
title: MassIVE MSV000087613 - A mouse mutant deficient in neuronal ceroid lipofuscinosis-associated proteins CLN3 and TPP1
title: TPP1 is a soluble lysosomal protease thus the molecular defect in LINCL is relatively well-understood and, aided by animal models that accurately recapitulate the human disease, enzyme replacement therapy has been approved and others promising therapies are on the horizon. In contrast, effective treatments for JNCL remain yet to be demonstrated, in part because the function of the CLN3 protein remains unknown but also because animal models developed to date have highly attenuated disease without robust survival phenotypes. In this study, we have created double knockout Tpp1-/-;Cln3-/- mice to gain insights into CLN3 function, functional interactions with TPP1 and potentially to develop mouse models with an exacerbated JNCL phenotype. The phenotype of the Tpp1-/-;Cln3-/- mutant is indistinguishable from the single Tpp1-/- mutant in terms of survival and pathology. Analysis of proteomic changes in brain in these two mutants indicates largely overlapping sets of altered proteins and reinforces earlier studies that highlight GPNMB, LYZ2 and SERPINA3 as promising biomarker candidates in LINCL while several lysosomal proteins including SMPD1 and NPC1 appear to be altered in the Cln3-/- animals. An unexpected finding was that Tpp1 heterozygosity significantly decreased lifespan of the Cln3-/- mouse from a median survival of 719 to 584 days versus 901 days for wild-type animals. The truncated survival of this mouse model may make this potentially useful in developing therapies for JNCL using survival as an endpoint.
DOI: 10.17632/x2mpz93t3r.1
title: Supplementary data for Lead adsorption by activated laterite soil sample

description: Raw data for fixed bed column adsorption study for Lead adsorption by acid activated laterite soil
DOI: 10.17632/2tw48ypcxr.1
title: Cytotoxicology Research Archive on Botanicals

description: Cytotoxicology Research Archive on Botanicals
DOI: 10.17632/nnv3vpy4y3.1
title: ST_URA8_Dataset_part_3

description: This is a dataset for Bluetooth 5.1 DoA applications with URA8 antenna arrays. It was conceived as a starting point for developing and validating DoA algorithms for real-life scenarios. Unlike other datasets, it contains Bluetooth signals with not only varying intensity of additive white Gaussian noise, but also coherent interfering signals with random DoA coordinates. The dataset is divided into two branches, one consisting of pure sinusoidal tones and the second comprised of baseband Bluetooth signals. The Python code which generated this dataset is included. Therefore, the dataset can be expanded and also modified to suit other types of signals and simulate other types of antenna arrays. Please note that this is only the first part of the dataset. The dataset is comprised of four parts, and you need to download all of them in order to recreate the entire directory structure. Part 1: http://dx.doi.org/10.17632/zjn2zxcgyz.1 Part 2: http://dx.doi.org/10.17632/gysjfpvxpm.1 Part 3: http://dx.doi.org/10.17632/nnv3vpy4y3.1 Part 4: http://dx.doi.org/10.17632/362szwsnc4.1
DOI: 10.17632/gysjfpvxpm.1
title: ST_URA8_Dataset_part_2

description: This is a dataset for Bluetooth 5.1 DoA applications with URA8 antenna arrays. It was conceived as a starting point for developing and validating DoA algorithms for real-life scenarios. Unlike other datasets, it contains Bluetooth signals with not only varying intensity of additive white Gaussian noise, but also coherent interfering signals with random DoA coordinates. The dataset is divided into two branches, one consisting of pure sinusoidal tones and the second comprised of baseband Bluetooth signals. The Python code which generated this dataset is included. Therefore, the dataset can be expanded and also modified to suit other types of signals and simulate other types of antenna arrays. Please note that this is only the first part of the dataset. The dataset is comprised of four parts, and you need to download all of them in order to recreate the entire directory structure. Part 1: http://dx.doi.org/10.17632/zjn2zxcgyz.1 Part 2: http://dx.doi.org/10.17632/gysjfpvxpm.1 Part 3: http://dx.doi.org/10.17632/nnv3vpy4y3.1 Part 4: http://dx.doi.org/10.17632/362szwsnc4.1
DOI: 10.17632/s6p7dwj3j6.2
title: Dataset for paper

description: The survey data file spreadsheet accompanying this article consists of 725 rows and 29 columns. Each row presents an individual's response to a questionnaire.
DOI: 10.6084/m9.figshare.14770401
title: Post show discussion 3

description: Post show discussion 2 with audience members
DOI: 10.6084/m9.figshare.14770401.v1
title: Post show discussion 3

description: Post show discussion 2 with audience members
DOI: 10.17632/txkvffh2sm.1
title: Identification of novel bat coronaviruses sheds light on the evolutionary origins of SARS-CoV-2 and related viruses. Zhou et al.

description: Supplemental information of the study entitiled "Identification of novel bat coronaviruses sheds light on the evolutionary origins of SARS-CoV-2 and related viruses".
DOI: 10.6084/m9.figshare.14766102.v8
title: antspyt1w helper data

description: downloadable cloud data for testing and processing
DOI: 10.6073/pasta/f8f5d698266b3475460d7c977d25e586
title: Long-term Stand Dynamics in Central Massachusetts 1500-2000

description: The long-term impact of human land-use is among the most important factors influencing the development of vegetation in New England, a region which experienced extensive agricultural clearance in the 19th century and subsequent reforestation during this century. We employed stand-level pollen stratigraphies and tree-ring chronologies to examine the post-settlement dynamics of hemlock stands which have never been pastured or plowed, representing among the least disturbed parts of the central Massachusetts landscape. Although the sites are currently dominated by large Tsuga canadensis individuals and give the impression of great age and stability, our results indicate that they have dynamic developmental histories driven by exogenous disturbance factors, including logging, forest pathogens, catastrophic wind disturbance, and fire. Sites containing pre-settlement pollen assemblages indicate stand compositions at this time which were substantially different from each other and from modern assemblages. Pollen assemblages similar to those of modern stands were not established in any of our sites until the 20th century and the mechanisms by which these assemblages arose was considerably different in each stand, indicating great flexibility of forest response to a variety of disturbance types.
DOI: 10.17632/c76tp5ptrz.3
title: Mobile banking apps – Dataset from Ho Chi Minh City, Vietnam

description: The survey was carried out in the city. Ho Chi Minh City in May-June 2021.
DOI: 10.17632/y9tmxzv6p9.1
title: GC-MS datasets for Azorhizobium Caulinodans

description: GC-MS datasets of Azorhizobium caulinodans grown in isotopically labelled 20% [13C4]succinate under various growth conditions including aerobic , microaerobic, nitrogen fixing cultures and as bacteroids isolated from root nodules of Sesbania rostrata.
DOI: 10.17632/386d3mxsxb.2
title: Experimental dataset for: Measurements of exhaled airflow velocity through human coughs using particle image velocimetry

description: *This is the experimental data for : "Measurements of exhaled airflow velocity through human coughs using particle image velocimetry, Build. Environ. (2021) 108020. https://doi.org/10.1016/j.buildenv.2021.108020." *The data contains ensemble-averaged coughing airflow velocity that varies with time at positions of x=0.5-3.5L, shown in Fig.9 and Fig.10 of the paper. L represents the mouth width. *The female and male data are ensemble-averaged separately in different folders.
DOI: 10.17632/xfcmb6b4ft.1
title: Analytical_Piezoresistivity_SFRCS

description: Closed-form solutions of the electrical conductivity and piezoresistivity of CNT/based composites
DOI: 10.17632/h8hywhyxmx.1
title: Substituent effects and Mechanism Studies in CO2 Transformation to Benzoxazinone Derivatives as Worthwhile N-containing Heterocycles: insight from DFT simulation

description: Cartesian coordinates of the molecules
DOI: 10.6073/pasta/9ecf9870ded891e00d4f31e22bb6a649
title: Effects of Acorn Production on White-Footed Mouse Populations at Harvard Forest 1997-1999

description: Recently several authors have documented fluctuations in the abundance of white-footed mice (Peromyscus leucopus noveboracensis) with fluctuations in acorn production (Elkinton et al. 1996, Ostfeld et al. 1996, Wolff 1996, Jones et al. 1998). Acorns are the major food source of white-footed mice during winter and are extensively cached. They are also food for many other species as well; over 100 species of birds and mammals feed on acorns (Van Dersal 1940). A large mast crop in fall usually correlates with a large mouse population the following summer, whereas a poor crop correlates with low population numbers. One experimental study supplementing acorns on forest plots demonstrated a concomitant increase in white-footed mice populations (Jones et al. 1998). It has been hypothesized that a large mast crop increases overwinter survival and may allow continued reproduction during the winter months, which results in a larger population the following year. We have four objectives in monitoring acorn abundance at Harvard Forest: 1) test for correlation of estimates of acorn production with estimates of overwinter survival probabilities and abundance of white-footed mice using mark-recapture statistical models (HF054), 2) document annual variation in acorn abundance and quality, which compliments a program at Harvard Forest documenting changes in woody plant phenology with climatic variation (HF003), 3) test hypotheses concerning the correlation of acorn production with environmental factors such as temperature, rainfall, and weevil infestation, and 4) provide data for inter-site comparisons, such as to test for synchrony in production at various scales across the landscape. We estimate acorn production with timed visual surveys following methods adapted from Koenig et al. (1994). Individual tagged trees on two small mammal trapping plots are surveyed each year by two observers. Detailed methods are described in the metadata.
DOI: 10.17632/6cb8fggwm2.1
title: MOCOKI: A Monte Carlo approach for optimal control in the force of a linear kinetic model

description: A Monte Carlo framework for solving optimal control problems governed by kinetic models is presented. The focus is on a kinetic model with Keilson-Storer linear collision term and the control mechanism is an external space-dependent force. The purpose of this control is to drive an ensemble of particles to acquire a desired mean velocity and position and to reach a desired final configuration in phase space. For this purpose, a gradient-based computational strategy in the framework of Monte Carlo methods is developed. Results of numerical experiments successfully validate the proposed control framework.
DOI: 10.17632/r9pbp4zvwm.1
title: PhysEx: A novel procedure to estimate full-rank physical matrices of a structure from an incomplete modal model

description: This dataset is associated to the article entitled "PhysEx: A novel procedure to estimate full-rank physical matrices of a structure from an incomplete modal model". It contains all the algorithms and models needed to reproduce all the results presented in that research paper. More details can be found in the article with DOI 10.1016/j.jsv.2021.116277.