cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f7p753f2hp.1
title: KWV

description: The "dip meter log" represents the results of electrical dip meter survey run on borehole KWV-01 after completion of the drilling. "Sample orientation" is a summary of core orientation parameters. It includes information on sections of the core with continuous orientation reference line marked on the core. Specimen from such sections have the same core plate strike. Bedding data for specimens are taken from the closest dip meter log reading.
DOI: 10.17632/22jwmgvjcr.3
title: Hydrolysable microplastics in soil – low biodegradation but formation of a specific microbial habitat?

description: We provide reproducible R-codes and data sets accompanying the research article "Hydrolysable microplastics in soil - low biodegradation but formation of a specific habitat?".

To better understand the fate of MP and assess the impacts of MP on C cycling in soil, we studied microbial interactions of MP-soil mixtures (MP-amended soil) and individual MP particles of MP with soil microorganisms in a microcosm experiment. We investigated the biodegradability of hydrolysable and non-hydrolysable MP (PLA/PBAT and LDPE) in two different size fractions and the potential effects of MP on microorganisms in dry and wet soil. We hypothesized that (H1) only PLA/PBAT will be mineralized, while LDPE persists, (H2) due to biodegradation of PLA/PBAT, soil microorganisms respond more strongly to PLA/PBAT than to LDPE, and (H3) surfaces of individual PLA/PBAT particles exhibit morphological changes and enhanced activities of specific hydrolytic enzymes (lipases). We expected that interactions of soil microorganisms with MP-amended soil and MP particles are strongest in wet soil (i.e., non-limiting microbial activity) and small MP particle size (i.e., high specific surface area).

We organized research data and analyses according to our hypotheses in three folders ("MineralizationData" (H1), "MicrobialData" (H2), and "EnzymeParticleData" (H3)). In addition, you find the folder "ParticleMeasurement", which contains particle size and shape analyses. You find information about their contents and on how to access and run the data analyses in the "README.html" file.
DOI: 10.17632/pdjytm9gzx.1
title: Composite CLT theory MATLAB codes

description: Herein is the attachment which is a MATLAB code used to calculate the effective moduli of the composite riser, using 3D and CLT theories. 
It can be developed upon as the authors also have different versions of this MatLab Code for estimating the Factor of Safety in our designs. 
NOTE: Double check that you have the right properties, because it was developed using an older version of Matlab and not been used recently, so please check. The code was modified and not originally developed by the authors. Also, the codes are based on existing composite theories.
DOI: 10.17632/mw48bpky6w.1
title: Comparison of Surfactant Administration Efficacy in the Treatment of Respiratory Distress Syndrome in Preterm Neonates: Aerosolization Versus INSURE

description: The proposal for this study can be retrieved from here.
DOI: 10.17632/hnfyxmw4jv.1
title: Data on effect of endometrial scratching on pregnancy rate after Intrauterine insemination: A Randomised controlled trial.

description: Does endometrial Scratching(ES) in proliferative phase increase the probability of pregnancy in women undergoing Ovulation induction and Intrauterine Insemination(IUI) after previous failed IUI cycles?
A total of 324 patients presenting with primary or secondary infertility in the infertility clinic were screened and assessed. All those patients who satisfied the criteria were recruited and it totalled to 168. An excess of 6 cases being recruited was realised only in the later part of trial when they had already been randomised and underwent IUI as per protocol. Hence all 168 patients were included in the study analysis. Four women out of 168 were withdrawn from the trial in the first cycle, one from intervention group owing to presence of unruptured follicle 42hrs after hCG trigger and another woman who failed to consent for ES before procedure. In control group, male partner was unwell to provide semen sample and another partner’s semen analysis was suboptimal for IUI. Two patients lost to follow up, one in intervention group in third cycle and one in control group in second cycle. So, only 162 women completed the trial and were analysed. Consort diagram attached.
The Data were analysed using the SPSS software package, version 22.0 (IBM Inc., Armonk, NY, USA) by Student t test and one-way ANOVA to compare means for normally distributed continuous variables. Fisher’s exact test and the chi-square test were used for categorical variables. Independent t test was used as test of significance to identify the mean difference between two groups. A p value <0.05 was considered as statistically significant.
Unexplained infertility was more frequent than Mild male factor infertility in both groups comprising 87.6% and 88.8% respectively. More than 70% of patients had primary infertility and Median duration of infertility was more in Control group than intervention group which was statistically significant.
DOI: 10.17632/4rvvwkjs27.1
title: Dataset on Composite Risers for Deep Water Application

description: The local design of composite riser for deep water application has been carried out using ANSYS ACP for six design load cases and the model validated. Different materials used in the design of the composite riser, stacking sequence, orientation angles and the liner materials. Application of netting theory and optimization carried out with different categories were presented both in the research paper and in the dataset from the MATLAB code. For further interpretation of the data presented in this article, please see the research article ‘Composite Risers for Deep Waters Using a Numerical Modelling Approach - Amaechi Chiemela Victor, Gillett Nathaniel, Odijie Agbomerie Charles, Hou Xiaonan, Ye Jianqiao; Composite Structures, 2018’ [1].
DOI: 10.17632/h7rx49yvyb.1
title: An integrated steering approach  to improve a phosphate supply chain efficiency

description: This paper presents and illustrates an original application of the redesign in the real context of a mining supply chain producing phosphate rock. One of the major challenges is to successfully produce merchantable ores (MO) required by the customers, from source ores whose chemical composition and availability depend on the extraction program and method. Redesign of the mining supply chain consists of integrating the heterogeneity of raw materials and the infrastructure to improve the steering mode and to achieve target objectives. In our case, the redesign allows moving from fixed production flows by MO to dynamic ones by adopting a flexible and reactive management mode that fully satisfies customer requirements. This is realized through the determination of the optimal production path followed by each ingredient composing each MO including blends to use (quantities and alternative routing) and periods of resources mobilisation by a developed mixed-integer linear programming model. The main objective concerns minimising a cost function subject to ingredients availability in stocks and their chemical characteristics, customers' expectations, and infrastructure capacity and availability. Numerical results illustrate the flexibility, adaptability, and efficiency ensured by this work.
DOI: 10.17632/9nprb674b5.3
title: Raw dataset for optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene

description: The dataset represents the images of collected food waste for 7-days from a residential area. The collected food waste was characterized, and based on its properties, simulated food waste was prepared to optimize the operating conditions to generate a high yield of bio-oil from microwave co-pyrolysis of food waste and low-density polyethylene. Thermogravimetric analysis of feedstock under optimized conditions was done. Effect of low-density polyethylene and microwave susceptor addition on temperature of feedstock, bio-oil yield and total acid number (TAN)  were evaluated with heating rate and single-factor ANOVA, respectively.
DOI: 10.17632/mhvg3fcgsr.2
title: Data and code for sewage reduction

description: This dataset is associated with the article "Pollution emission and economic growth revisited: A novel approach of spatial hyperbolic decomposition in sewage reduction management".
DOI: 10.17632/z2vtsm6vt6.1
title: Electrophoretogram for PCR products

description: The original data of agarose gel eletrophoresis for PCR products.
DOI: 10.17632/78gxwmc6zr.1
title: Semantic Relatedness in DBpedia

description: These data refer to the benchmarking of 10 methods for computing semantic similarity applied to 13 golden datasets.
The 10 addressed methods are: 
- Wikipedia Link-based Measure (WLM ) [Witten and Milne, 2008];
- Linked Open Data Description Overlap-based approach (LODDO) [Zhou et al. 2012] 
- Linked Data Semantic Distance (LDSD) [Passant, 2010]
- Linked Data Semantic Distance with Global Normalization (PLDSDGN) [Piao and Breslin, 2016] 
- Propagated Linked Data Semantic Distance (PLDSD) [Alfarhood et al. 2017] 
- Information Content-based approach [Schuhmacher and Ponzetto, 2014] 
- REWOrD [Pirrò, 2012]
- Exclusivity-based [Hulpuş et al 2015]
- ASRMP [El vaigh et al. 2020]
- Proximity-based [Leal, 2013]

The  14 golden datasets are: Atlasify240, B0, B1, GM30, MTurk287, WRG252, R122, RG65, MC30, KORE(composed by KORE-IT, KORE-HW, KORE-VG, KORE-TV, KORE-CN)

In the experimentation, two DBpedia knowledge graphs have been considered, i.e., with and without the dbo:wikiPageWikiLink links.
DOI: 10.17632/7bs4htfy4b.2
title: Particulate material in the air (PM2.5), light (UV-B and PAR), heat content, littoral and pelagic metabolism estimates in Castle Lake (California, USA) 2015, 2016, 2019 and 2018

description: Data and code used for our study entitled "Wildfire smoke effects on lake-habitat specific metabolism: toward a conceptual understanding."
The metadata file explains the whole structure of this repository and how to obtain the results shown in the paper.
For more information contact Dr. Facundo Scordo (scordo@agro.uba.ar) or Dr. Sudeep Chandra (sudeep@unr.edu )
DOI: 10.17632/fhc429t33c.1
title: Multifunctional biocatalyst for conjugate reduction and reductive amination

description: Supplementary data for the manuscript 'Multifunctional biocatalyst for conjugate reduction and reductive amination' by Thorpe et al. University of Manchester/Prozomix/Pfizer, 2022
DOI: 10.17632/mjypbrbjds.1
title: Technological progress embodied in capital goods

description: This is a dataset for the empirical analysis in Jin (2021) “Investment-Specific Technological Progress: The Perspective of Capital Owners,” SSRN 3941839, and Jin (2021) “Capital-Embodied Technological Progress: The Role of Asset Valuation,” SSRN 3941848.
DOI: 10.48544/e88894d6-5640-4662-a254-16452970bae4
title: De tragiek van audit quality indicatoren (AQI's)
DOI: 10.5281/zenodo.6344216
title: Seurat-Daten zum Schrader-Sequenzierungsprojekt von Tobias Lautwein - Unprocessiert von ALL

description: Seurat-Daten zum Schrader-Sequenzierungsprojekt von Tobias Lautwein - Unprocessiert von ALL
DOI: 10.5281/zenodo.6344215
title: Seurat-Daten zum Schrader-Sequenzierungsprojekt von Tobias Lautwein - Unprocessiert von ALL

description: Seurat-Daten zum Schrader-Sequenzierungsprojekt von Tobias Lautwein - Unprocessiert von ALL
DOI: 10.17632/bnvftxzg7n.1
title: Gravity waves in different atmospheric layers during Martian dust storms

description: The datasets contained herein were used to produce the figures and analysis presented in "Gravity waves in different atmospheric layers during Martian dust storms" by Wu et al., submitted in JGR-Planets in 2022. All files are NetCDF formatted.
DOI: 10.17632/gsmsckjj7m.1
title:  vaccine hesitancy.

description: Vaccine hesitancy dataset from Giresun
DOI: 10.17632/t8wfrycwb5.1
title:  Homebrew: an economical and sensitive glassmilk-based nucleic-acid extraction approach for SARS-CoV-2 diagnostics. Page et al.

description: Movies 1 to 5 demonstrating steps of the homebrew protocol.
DOI: 10.17632/xyt93dc5gk.1
title: Animated gif of dermatology focused eponyms cited in PubMed

description: The top twenty dermatology focused eponyms (DFEs) cited in PubMed were plotted as racing style bar graphs from the years 1951 to 2020. Each frame of the animation shows the highest cited DFE by name and specific number of citations. The year is displayed in the bottom right-hand corner of each frame of animation.
DOI: 10.17632/9g2tszftvr.1
title: Curie Temperatures and Emplacement Conditions of Pyroclastic Rocks from the Popocatépetl Volcano, Mexico

description: Figure S1 shows varying titanium content in the selected samples based on  EDS spectra.
Figure S2 shows varying titanium content in the selected samples based on  EDS spectra.
Figure S3 provides information about fitting the field dependence parameters for studied pyroclastic deposits to the previously determined regression line.  
Figure S4 shows the peak-tangent method applied to determine transition temperatures from k-T curves.  
Table S1 and S2 provide data of various magnetic parameters
Data Sets 1-4 include all measured thermomagnetic curves
DOI: 10.17632/9kxx8kp7db.1
title: Free Vibrations on Simple Beams Using Python

description: An illustrative tool that simulates free vibrations on simple beams. 

github: https://github.com/abdallatalaat/free-vibrations
DOI: 10.17632/st36dd7k23.1
title: Optogenetic actuator/ERK biosensor circuits identify MAPK network nodes that shape ERK signaling dynamics

description: Experimental data and R/Python scripts required to reproduce the figures from the accompanying publication: Dessauges et al. "Optogenetic actuator/biosensor circuits identify MAPK network nodes that shape ERK dynamics".
DOI: 10.5281/zenodo.6344519
title: Hydrozoanthus sils decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6344518
title: Hydrozoanthus sils decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/3279640
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.6344707
title: SciExpeM - 10.5281/zenodo.6344707

description: Stranic, Ivo; Chase, Deanna P.; Harmon, Joseph T.; Yang, Sheng; Davidson, David F.; Hanson, Ronald K. - Combustion And Flame, 2012, (159), 516-527
DOI: 10.5281/zenodo.6344706
title: SciExpeM - 10.5281/zenodo.6344707

description: Stranic, Ivo; Chase, Deanna P.; Harmon, Joseph T.; Yang, Sheng; Davidson, David F.; Hanson, Ronald K. - Combustion And Flame, 2012, (159), 516-527
DOI: 10.5281/zenodo.6344064
title: CAST Strong Lensing Finder Deep Learning models

description: Deep Learning models used in the paper "Developing a Victorious Strategy to the Second Strong Gravitational<br> Lensing Data Challenge". We share the Deep Learning models weights trained using II Strong Lensing Gravitational Challenge dataset in the configurations presented in table 1 from the aforementioned paper. We also release notebooks with examples of usage and adaptation to other datasets in github.com/cdebom/cast_lensfinder. The file names are structure as follows:<br> <br> <strong>efn2_typeofentry_preprocessing_aug.tar.gz</strong><br> <br> where <em><strong>typeofentry </strong></em>is the input format according to table 1 in the paper and preprocessing can be <strong><em>chpre</em> </strong>or <strong><em>newpre </em></strong>is the preprocessing used in the II SLGC, and the novel proposed preprocessing for the paper, respectively.<br> <br> <br>
description: CRB acknowledges the financial support from CNPq (316072/2021-4). CF acknowledges the financial support from CNPq (processes 433615/2018-4 and 314672/2020-6).
DOI: 10.5281/zenodo.6344063
title: CAST Strong Lensing Finder Deep Learning models

description: Deep Learning models used in the paper "Developing a Victorious Strategy to the Second Strong Gravitational<br> Lensing Data Challenge". We share the Deep Learning models weights trained using II Strong Lensing Gravitational Challenge dataset in the configurations presented in table 1 from the aforementioned paper. We also release notebooks with examples of usage and adaptation to other datasets in github.com/cdebom/cast_lensfinder. The file names are structure as follows:<br> <br> <strong>efn2_typeofentry_preprocessing_aug.tar.gz</strong><br> <br> where <em><strong>typeofentry </strong></em>is the input format according to table 1 in the paper and preprocessing can be <strong><em>chpre</em> </strong>or <strong><em>newpre </em></strong>is the preprocessing used in the II SLGC, and the novel proposed preprocessing for the paper, respectively.<br> <br> <br>
description: CRB acknowledges the financial support from CNPq (316072/2021-4). CF acknowledges the financial support from CNPq (processes 433615/2018-4 and 314672/2020-6).
DOI: 10.6069/0n4f-6v50
title: Prediction and experimental validation of a new salinity-responsive cis-regulatory element (CRE) in tilapia

description: Quantitative DIA proteomics in combination with the transcription inhibitor actinomycin D was performed on the tilapia OmB cell line to identify proteins that are upregulated by transcriptional regulation during hyperosmotic stress. This analysis revealed proteins that are transcriptionally up-regulated by hyperosmolality in these cells. The promoter regions of these proteins were compared and a novel hyperosmolality-induced cis-regulatory element (CRE) and corresponding transcription factor candidate were identified. The CRE was experimentlly validated by site-directed mutagenesis in combination with reporter assays.
DOI: 10.6084/m9.figshare.19337552.v1
title: questions_answers_eng.json

description: A json file with the description of all the questions (columns) asked in the questionnaire. <br><br>The key of each document in the json file refers to the column name in the dataset. In each document there are four keys:<br>- question: string with the question asked in the questionnaire.<br>- answers: information about all the possible answers to the question. Two type of values are possible: i) string describing the type of data, i.e. "multiple answer", "continuous variable", "categorical variable"; ii) a dictionary useful to map the code in the dataset. In details:<br>- period: information about the period that referring the question. The possible values are: "before lockdown", "during", "after lockdown", "comparison", "general". "Before lockdown", "during" and "after lockdown", refer to a specific period that the answer referred to. "Comparison" reflects questions that compares a specific health status before and after the lockdown, while "general" refers to question that did not refer to a specific period such as, for example, the gender or region of residence of the respondents.<br>
DOI: 10.6084/m9.figshare.19337552
title: questions_answers_eng.json

description: A json file with the description of all the questions (columns) asked in the questionnaire. <br><br>The key of each document in the json file refers to the column name in the dataset. In each document there are four keys:<br>- question: string with the question asked in the questionnaire.<br>- answers: information about all the possible answers to the question. Two type of values are possible: i) string describing the type of data, i.e. "multiple answer", "continuous variable", "categorical variable"; ii) a dictionary useful to map the code in the dataset. In details:<br>- period: information about the period that referring the question. The possible values are: "before lockdown", "during", "after lockdown", "comparison", "general". "Before lockdown", "during" and "after lockdown", refer to a specific period that the answer referred to. "Comparison" reflects questions that compares a specific health status before and after the lockdown, while "general" refers to question that did not refer to a specific period such as, for example, the gender or region of residence of the respondents.<br>
DOI: 10.6084/m9.figshare.19336856
title: dataset.csv

description: Csv file with the participants’ answer. Each row in the dataset refers to a single respondent, while the columns refer to the answers for each question in the dataset.<br>
DOI: 10.6084/m9.figshare.19336856.v1
title: dataset.csv

description: Csv file with the participants’ answer. Each row in the dataset refers to a single respondent, while the columns refer to the answers for each question in the dataset.<br>
DOI: 10.5281/zenodo.6344646
title: Resilience in face of the COVID-19 pandemic in Portuguese federated athletes: an exploratory study

description: Study database
DOI: 10.5281/zenodo.6344645
title: Resilience in face of the COVID-19 pandemic in Portuguese federated athletes: an exploratory study

description: Study database
DOI: 10.5281/zenodo.6344730
title: Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to detect breast malignant Lesions

description: We uploade the dataset of the manuscript "Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to detect breast malignant Lesions" by Current Oncology.
DOI: 10.5281/zenodo.6344729
title: Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to detect breast malignant Lesions

description: We uploade the dataset of the manuscript "Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to detect breast malignant Lesions" by Current Oncology.
DOI: 10.5281/zenodo.6344570
title: Stanford fiber-optic DAS array: Earthquake detection dataset

description: Repurposing the fiber-optic cables from the existing telecommunication infrastructure makes it possible to record dense continuous seismic data in urban areas at low cost. From 2016 to 2019, we connected a disctributed acoustic sensing (DAS) interrogator unit to the fiber-optic cables in telecommunication conduits under Stanford University campus, recording years of continuous seismic data. This repository contains processed TensorFlow Record data files containing examples of earthquake and background noise signals recorded by the Stanford fiber-optic DAS array. These data were used for training, evaluation, and testing of a convolutional neural network for earthquake detection.
DOI: 10.5281/zenodo.6344569
title: Stanford fiber-optic DAS array: Earthquake detection dataset

description: Repurposing the fiber-optic cables from the existing telecommunication infrastructure makes it possible to record dense continuous seismic data in urban areas at low cost. From 2016 to 2019, we connected a disctributed acoustic sensing (DAS) interrogator unit to the fiber-optic cables in telecommunication conduits under Stanford University campus, recording years of continuous seismic data. This repository contains processed TensorFlow Record data files containing examples of earthquake and background noise signals recorded by the Stanford fiber-optic DAS array. These data were used for training, evaluation, and testing of a convolutional neural network for earthquake detection.
DOI: 10.15468/dl.srx4qb
title: Occurrence Download

description: A dataset containing 7396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-194.38168 16.88730,-38.61832 16.88730,-38.61832 79.11270,-194.38168 79.11270,-194.38168 16.88730))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus occidentalis Greene, 1858",
 "Year 1970-2024"
 ]
}

 The dataset includes 7396 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026558-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.