cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2007.2075
title: Viscosity index improving property of low molecular weight polyisoprene from natural rubber in lubricant

description: Low molecular weight natural rubber was blended with base oil currently used in Shell’s lubricant production in order to improve the viscosity index of lubricating oil. The solubility and viscosity index of natural rubber blended lubricant were studied at various mixing time and temperature and the data were compared with those of OCP copolymer. It was found that viscosity index of natural rubber blended lubricating oil was improved but still 10.84% lower than those of OCP copolymer. It was also found that both natural rubber and OCP copolymer started soluble at 90˚C. and their complete dissolution temperature was 120˚C. The times of mixtures to completely dissolve were 120, and 240 minutes for NR and copolymer respectively. The low molecular weight natural rubber was then blended into 15W-40 lubricating oil following the current formulation and quality control. The maximum viscosity index was found to be 156, but it was approximately 12.29% lower than that of OCP at the same blending condition. It was also found that various blending times and temperatures have no influence to viscosity index and physical properties. Low-grade engine oils had also been formulated with natural rubber and found that the oxidation stability of natural rubber blended oil was slight drop. When low-grade natural rubber blended engine oil was tested with engine operation it showed no effect on engine performance.
DOI: 10.14457/cu.the.2007.2076
title: Cost and unit cost of Gaafu Dhaalu Regional Hospital/Maldives, in the year 2007

description: To analyze the cost profile and unit cost of health services of Gaafu Dhaalu Regional Hospital/ Maldives, for the year 2007.The study was a retrospective study conducted in provider’s perspective. The hospital sections are divided into 18 cost centres and clustered into four groups of cost centres, namely non revenue producing cost centre (NRPCC), revenue producing cost centre (RPCC), patient services (PS) and non- patient services (NPS). Data recording forms are used to collect data for the period of 2007 and data information was compiled as three groups, labour cost, material cost and capital cost. The total costs were allocated using step-down technique of allocation with in-cooperated allocation criteria’s, defined according to the activities of the cost centres. Study results show that the total direct cost of the Hospital in 2007 is Rf 18, 596, 887.81with a total operating cost of Rf 16,068,752.84. The total direct cost comprise of Labour cost Rf 10,638,243.10, material cost Rf 5,278,083.75, and capital depreciated cost as Rf 5,430,509.75, respectively. The unit cost of Outpatient department, Observation room, Dressing room and Dental department are, Rf 232, Rf 821, Rf 178, Rf 514, respectively. The unit cost of an inpatient admission for Male Ward, Female Ward, Surgical Ward Paediatric Ward and Intensive care unit are, Rf7, 687, Rf4, 097, Rf 6, 910, Rf2312 and Rf10, 558 respectively. The unit cost of per inpatient days of ward, were, Rf 3,106, Rf 1,280, Rf2, 158, Rf 907 and Rf 3,508 respectively. The high unit costs and low hospital performance indicators suggest low utilization of health services in GDH Regional Hospital in the year 2007. Moreover study result implies the presence of inefficiency in resource allocation and wastage in the hospital, which may be due to problems in the referral system as well as human resource management of the health care system in Maldives. The study presents recommendations to the policymakers and hospital administrators on improving these areas to work towards achieving quality and standard provision of health care.
DOI: 10.14457/cu.the.2007.2077
title: Improvement of demand forecasting system : cale study in PVC leather and plastic company

description: This research presents the application of neural network to forecast the demand of the sample product. Interest rate, unemployment rate, consumer price index, oil Price, GDP, in House Garment Consumer Rate, synthetic Fiber Production, export Rate and import Rate are the input of the network which is properly train with historical sale data. The result of the forecasting is the sale volume. The learning process that we used in this thesis is backpropagation. This network is trained to be able to forecast the sale volume of sample product. For sale volume forecasting of Jul 48-Jun 49, the result from artificial neural network provides more accuracy by having the percentages of error at -1.09% with MSE at 18.78 while the result from moving average technique has the percentage of error at -5.163% with MSE at 29.165. In order to simulated the benefits of the neural network forecasting technique, the company will adjusted the production planning by using neural network forecasting instead of moving average technique. After the company adjusted the production planning according to the neural network forecasting technique, the company is successfully reducing the inventory problem. The total cost of the sample product is reducing around 2,254,000 baht which is 28%.
DOI: 10.5061/dryad.1r7j2r7/1
title: Dryad Item 10.5061/DRYAD.1R7J2R7/1

description: (:tba)
DOI: 10.5061/dryad.1r7j2r7/2
title: Dryad Item 10.5061/DRYAD.1R7J2R7/2

description: (:tba)
DOI: 10.5061/dryad.1r7j2r7/3
title: Dryad Item 10.5061/DRYAD.1R7J2R7/3

description: (:tba)
DOI: 10.5066/p9wxhrgq
title: Trojan Y chromosome strategy for eradication of non-native species data

description: The Trojan Y Chromosome (TYC) strategy is a promising eradication method for biological control of non-native species. The strategy works by manipulating the sex ratio of a population through the introduction of supermales that guarantee male offspring.
DOI: 10.21227/bfs1-1p47
title: Kinetic Energy H

description: Unfortunately,I cannot make profile hidden nor can upload completed project due to some reason for re-experimentation.Inconvenience regretted, please visit page in september/october. There is problem with dataset,This dataset is in support of research paper claim (not breakthrough) submitted to IEEE Trans,There can be various configurationsphysicist and engineers aim to, this dataset showsThe resultsIt is expected that this design will be practically used by industries,Approximation by polynomialcapacitor tank (size can vary)
DOI: 10.21227/etz5-r990
title: kW Wind turbine

description: Unfortunately,I cannot make profile hidden nor can upload completed project due to some reason for re-experimentation.Inconvenience regretted, please visit page in september/october. From the datasets "comparison wind e " and " ", it was concluded that the do have effect on the active and reactive power.So taking this, new experiment has been performed with full integration withand modelfeederThere is fault on the where vector group Dyn11 transformer iHere, model is designed as per Indian Electricity rules (BSES), so any other part ofEuler-Lagrange is sThe Jacobian
DOI: 10.5061/dryad.1r7j2r7/4
title: Dryad Item 10.5061/DRYAD.1R7J2R7/4

description: (:tba)
DOI: 10.5061/dryad.1r7j2r7/5
title: Dryad Item 10.5061/DRYAD.1R7J2R7/5

description: (:tba)
DOI: 10.5281/zenodo.3380482
title: Data Tables and figures for "Quantification of 3D thermal anomalies from surface observations of an orogenic geothermal system (Grimsel Pass, Swiss Alps)"

description: Tables and figures containing the data used in the manuscript called <strong>"Quantification of 3D thermal anomalies from surface observations of an orogenic geothermal system (Grimsel Pass, Swiss Alps)", </strong> which was submitted to JGR:Solid Earth
DOI: 10.5281/zenodo.3380483
title: Data Tables and figures for "Quantification of 3D thermal anomalies from surface observations of an orogenic geothermal system (Grimsel Pass, Swiss Alps)"

description: Tables and figures containing the data used in the manuscript called <strong>"Quantification of 3D thermal anomalies from surface observations of an orogenic geothermal system (Grimsel Pass, Swiss Alps)", </strong> which was submitted to JGR:Solid Earth
DOI: 10.21227/494y-ak22
title: Solar Pump

description: Unfortunately,I cannot make profile hidden nor can upload completed project due to some reason for re-experimentation.Inconvenience regretted, please visit page in september/october. due to re- experimentation.This dataset is generated from a series of experiments and due to the size of dataset,all have been uploaded separately. So datasets doi -"centrifugal pumps" , "positive displacement" areThis dataset contain simulation results,comparisons,animated phase portraits for "centrifugal pumps".Solar Panels are connected to generate singlephase DC.MPPT algorithm(PO) is used to, which is then boosted to , which then is converted to AC using multilevel inverterHigher Order Sliding mode controller and fuzzylogic controllerPerformance kalman filterFlywheel
DOI: 10.21227/ccyp-1q76
title: kW Wind turbine

description: Unfortunately,I cannot make profile hidden nor can upload completed project (which was ready for upload,)due to some reason for re-experimentation.Inconvenience regretted, please visit page in september/october.From the datasets "comparison wind e " and " ", it was concluded that the do have effect on the active and reactive power.So taking this, new experiment has been performed with full integration withand modelfeederThere is fault on the where vector group Dyn11 transformer iHere, model is designed as per Indian Electricity rules (BSES), so any other part ofEuler-Lagrange is sThe Jacobian
DOI: 10.21227/cfvk-ca08
title: Solar Pump

description: Unfortunately,I cannot make profile hidden nor can upload completed project (which was ready for upload,)due to some reason for re-experimentation.Inconvenience regretted, please visit page in september/october. This dataset is generated from a series of experiments and due to the size of dataset,all have been uploaded separately. So datasets doi -"centrifugal pumps" , "positive displacement" areThis dataset contain simulation results,comparisons,animated phase portraits for "centrifugal pumps".Solar Panels are connected to generate singlephase DC.MPPT algorithm(PO) is used to, which is then boosted to , which then is converted to AC using multilevel inverterHigher Order Sliding mode controller and fuzzylogic controllerPerformance kalman filterFlywheel
DOI: 10.21227/cpay-6q47
title: Comparison Wind turbine

description: Inconvenience regretted, please visit page in september/october. The results are concluded but for some reason,complete project is under re-experimentation from my side.Unfortunately,I cannot make profile hidden nor can upload completed projectwhich was ready for upload,This dataset is generated from a series of experiments and due to the size of dataset,all have been uploaded separately. So datasets doi -"generator" , "comparison wind turbine", "kw wind tur" are related.This dataset contain simulation results,comparisons ,animated phase portraits. This dataset is original,not plagiarised data generated using examples available on net or in demo but rather results have been generated for a project which will be onsite implemented for domestic/residential and to studyThe power generation output from two types of generators, which can be used ,have been studied.We have a varying wind speed. The cut in speed and the survival.From the data collected, I haveHigher Order Sliding mode controller and fuzzylogic controllerPerformance kalman filterFlywheel
DOI: 10.5519/qd.s8bgxw49
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (71 records)
DOI: 10.7910/dvn/zsbz7k/8hfxwq
title: CCES18_Common_OUTPUT_vv_topost.dta

description: :unav
DOI: 10.7910/dvn/zsbz7k/l6iw51
title: CCES Guide 2018.pdf

description: Guide to the 2018 Common Content Dataset
DOI: 10.15468/4arxju
title: Anderemaeus (Acari, Oribatida) - overview, three new species from South America and reassessment of Anderemaeidae supported by ontogeny

description: This dataset contains the digitized treatments in Plazi based on the original journal article Norton, Roy A., Ermilov, Sergey G. (2019): Anderemaeus (Acari, Oribatida) - overview, three new species from South America and reassessment of Anderemaeidae supported by ontogeny. Zootaxa 4647 (1): 241-289, DOI: https://doi.org/10.11646/zootaxa.4647.1.17
DOI: 10.17632/hmdhpzzk7k.1
title: Data for: State Boards of Nursing Guidance to Mitigate Prescription Opioid Misuse and Diversion

description: File describing the state board of nursing website resources to mitigate opioid misuse and diversion gathered June 25, 2018 - July 23, 2018
DOI: 10.21227/k9gy-0710
title: kW Wind turbine

description: Unfortunately,I cannot make profile hidden nor can upload completed project (which was ready for upload,)due to some reason for re-experimentation.Inconvenience regretted, please visit page in september/october.(cannot upload details as I m afraid, someone will complee and upload earlier than me.) so, only partial details which will get changed has been uploaded.From the datasets "comparison wind e " and " ", it was concluded that the do have effect on the active and reactive power.So taking this, new experiment has been performed with full integration withand modelfeederThere is fault on the where vector group Dyn11 transformer iHere, model is designed as per Indian Electricity rules (BSES), so any other part ofEuler-Lagrange is sThe Jacobian
DOI: 10.5281/zenodo.3369106
title: Data from: Predictive mapping of the global power system using open data

description: Three primary global data outputs from the research: <strong>grid.gpkg:</strong> Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the 'source' column <strong>targets.tif:</strong> Binary raster showing locations predicted to be connected to distribution grid. <strong>lv.tif:</strong> Raster of predicted low-voltage infrastructure in kilometres per cell. This data was created with code in the following three repositories: https://github.com/carderne/gridfinder https://github.com/carderne/predictive-mapping-global-power https://github.com/carderne/access-estimator Full steps to reproduce are contained in this file: https://github.com/carderne/predictive-mapping-global-power/blob/master/README.md The data can be visualized at the following location: https://gridfinder.org
DOI: 10.5281/zenodo.3369107
title: Data from: Predictive mapping of the global power system using open data

description: Four primary global data outputs from the research: <strong>hv.gpkg:</strong> Dump of OpenStreetMap grid data, slightly cleaned and tagged. (C) OpenStreetMap contributors. <strong>targets.tif:</strong> Binary aster showing locations predicted to be connected to distribution grid. <strong>mv.gpkg:</strong> Vectorized predicted distribution line network. <strong>lv.tif:</strong> Raster of predicted low-voltage infrastructure in kilometres per cell. This data was created with code in the following three repositories: https://github.com/carderne/gridfinder https://github.com/carderne/energy-infra https://github.com/carderne/accessestimator Full steps to reproduce are contained in this file: https://github.com/carderne/energy-infra/blob/master/README.md The data can be visualized at the following location: https://gridfinder.org
DOI: 10.17632/c2k45k69mn.1
title: Data for: Synergies in the Co-location of Food Manufacturing and Biorefining

description: This is the Supplementary Information referenced in the paper.
DOI: 10.21227/2023-fb05
title: Solar Pump

description: Unfortunately,I cannot make profile hidden nor can upload completed project (which was ready for upload,)due to some reason for re-experimentation.Inconvenience regretted, please visit page in september/october.(cannot upload details as I m afraid, someone will complee and upload earlier than me.) so, only partial details which will get changed has been uploaded.This dataset is generated from a series of experiments and due to the size of dataset,all have been uploaded separately. So datasets doi -"centrifugal pumps" , "positive displacement" areThis dataset contain simulation results,comparisons,animated phase portraits for "centrifugal pumps".Solar Panels are connected to generate singlephase DC.MPPT algorithm(PO) is used to, which is then boosted to , which then is converted to AC using multilevel inverterHigher Order Sliding mode controller and fuzzylogic controllerPerformance kalman filterFlywheel
DOI: 10.13140/rg.2.2.35812.32642
title: SMITHS FAILURE AT KISTNAGRI FORT
DOI: 10.17632/t2d6jm89wt.1
title: Data for: The ternary phase diagram of Sb-Se-V and its subsystems

description: Datasets of the prepared samples, as well as the compiled and assessed results of the analysis.
DOI: 10.21227/tx6g-3280
title: Comparison Wind turbine

description: Unfortunately,I cannot make profile hidden nor can upload completed project (which was ready for upload,)due to some reason for re-experimentation.Inconvenience regretted, please visit page in september/october.(cannot upload details as I m afraid, someone will complee and upload earlier than me.) so, only partial details which will get changed has been uploaded.This dataset is generated from a series of experiments and due to the size of dataset,all have been uploaded separately. So datasets doi -"generator" , "comparison wind turbine", "kw wind tur" are related.This dataset contain simulation results,comparisons ,animated phase portraits. This dataset is original,not plagiarised data generated using examples available on net or in demo but rather results have been generated for a project which will be onsite implemented for domestic/residential and to studyThe power generation output from two types of generators, which can be used ,have been studied.We have a varying wind speed. The cut in speed and the survival.From the data collected, I haveHigher Order Sliding mode controller and fuzzylogic controllerPerformance kalman filterFlywheel
DOI: 10.7910/dvn/zazzb7/cal6kr
title: survey_codes.pdf

description: :unav
DOI: 10.7910/dvn/zazzb7/dy6a9n
title: fog2011.txt

description: Data
DOI: 10.7910/dvn/zazzb7/htce1p
title: fog2011.pdf

description: Survey
DOI: 10.7910/dvn/zazzb7/jexuds
title: fog2011_code_sheet.pdf

description: :unav
DOI: 10.7910/dvn/zazzb7/rnnnds
title: fog2011_srt.xls

description: Response
DOI: 10.17632/99t9462bx9.2
title: MFFS

description: The dataset contains raw data associated with the development of a Malaysian Family Functioning Scale.
DOI: 10.25345/c5008j
title: MassIVE MSV000084247 - Integrated bottom-up and top-down proteomics of patient-derived breast tumor xenografts
title: &lt;p&gt;&lt;a href='http://www.mcponline.org/content/early/2015/10/26/mcp.M114.047480.full.pdf+html' target='_blank'&gt;Ntai, I., LeDuc, R.D., Fellers, R.T., et al., (2015) Molecular and Cellular Proteomics, Manuscript M114.047480&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Bottom-up proteomics relies on the use of proteases and is the method of choice for identifying thousands of protein groups in complex samples. Top-down proteomics has been shown to be robust for direct analysis of small proteins and offers a solution to the peptide-to- protein inference problem inherent with bottom-up approaches. Here, we describe the first large-scale integration of genomic, bottom-up and top-down proteomic data for the comparative analysis of patient-derived mouse xenograft models of basal and luminal B human breast cancer, WHIM2 and WHIM16, respectively. Using these well-characterized xenograft models established by the National Cancer Institute�s Clinical Proteomic Tumor Analysis Consortium, we compared and contrasted the performance of bottom-up and top-down proteomics to detect cancer-specific aberrations at the peptide and proteoform levels, and to measure differential expression of proteins and proteoforms. Bottom-up proteomic analysis of the tumor xenografts detected almost 10 times as many coding nucleotide polymorphisms and peptides resulting from novel splice junctions than top-down. For proteins in the range of 0-30 kDa, where quantitation was performed using both approaches, bottom-up proteomics quantified 3,519 protein groups from 49,185 peptides, while top-down proteomics quantified 982 proteoforms mapping to 358 proteins. Examples of both concordant and discordant quantitation were found in an approximately 60:40 ratio, providing a unique opportunity for top-down to fill in missing information. The two techniques showed complementary performance, with bottom-up yielding 8 times more identifications of 0-30 kDa proteins in xenograft proteomes, but failing to detect differences in certain post-translational modifications (PTMs), such as phosphorylation pattern changes of alpha-endosulfine. This work illustrates the potency of a combined bottom-up and top-down proteomics approach to deepen our knowledge of cancer biology, especially when genomic data are available.&lt;/p&gt;&lt;br/&gt; &lt;ul&gt;&lt;li&gt;Dataset imported into MassIVE from &lt;a href="https://cptac-data-portal.georgetown.edu/cptac/s/S028"&gt;https://cptac-data-portal.georgetown.edu/cptac/s/S028&lt;/a&gt; on 08/28/19&lt;/li&gt;&lt;li&gt;Dataset source: &lt;a href="https://pdc.esacinc.com/pdc/browse/filters/study_name:TCGA_Ovarian_JHU_Glycoproteome|TCGA_Ovarian_JHU_Proteome|TCGA_Ovarian_PNNL_Proteome|TCGA_Ovarian_PNNL_Phosphoproteome_Velos_Qexatvive" target="_blank"&gt;https://pdc.esacinc.com/pdc/browse/filters/study_name:TCGA_Ovarian_JHU_Glycoproteome|TCGA_Ovarian_JHU_Proteome|TCGA_Ovarian_PNNL_Proteome|TCGA_Ovarian_PNNL_Phosphoproteome_Velos_Qexatvive&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;
DOI: 10.7910/dvn/zazzb7/nl4gqr
title: pre1996_survey_codes.pdf

description: :unav
DOI: 10.17632/f5rbkd4482.2
title: Biofouling studies dataset

description: This file merges data from 12 peer-reviewed papers, creating 215 entries with essential information for biofouling studies. A total of 10 factors related to the environment and surface are described. Assumptions were made when the referred study did not define the factor. A follow-up paper will describe in more details the data and how it can be used.
DOI: 10.17632/vs7tfht4ms.1
title: Data for: Neural substrate of a cognitive intervention program using Go game: a positron emission tomography study

description: Data of a randomized controlled trial of the GO game intervention on brain and cognitive function.
DOI: 10.5281/zenodo.3380251
title: Data for Medical Data Science Shortcourse

description: This is a .csv version of the World Bank Data on Health Nutrition and Population, cf. https://datacatalog.worldbank.org/dataset/health-nutrition-and-population-statistics and derived data sets for training purposes.
DOI: 10.5281/zenodo.3380214
title: Monitoring Technical Debt in an Industrial Setting

description: The dataset includes the answers on a survey with 60 software engineers (i.e., architects, developers, etc.) working for 11 software development companies located in 9 countries, to understand their needs for Technical Debt Management. The questionnaire is organized into an introductory section and three main ones. It begins with some demographic information (Name of Company and Role in the Company). Next, participants are asked to rate in a Likert scale (1) a group of questions based on the usefulness of Technical Debt (TD) principal indicators, and (2) a group of questions based on the usefulness of TD interest indicators, and then, they are asked (3) to consider the optimal strategy for mitigating TD. In the beginning of each Section some basic TD definitions have been provided, so as to establish a common understanding and terminology among participants.