cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2009.1915
title: Synthesis of LLDPE/ZnO polymer nanocomposites by in situ polymerization using metallocene catalyst

description: Linear low-density polyethylene (LLDPE) is very important plastic with many applications including package, agricultural film and cable cover. Nowadays, extensive studies have been focused on the use of metallocene as catalyst in the production of LLDPE because of its higher catalytic activity and more uniform molecular weight distribution (MWD) of polymer produced. To use metallocene catalysts used in industrial slurry and gas-phase processes, they have to be heterogenized on supports, which causes the catalytic activity lower than homogeneous metallocenes. As a result, it is important to find a way to attach the metallocene to the support without losing the performance of the homogeneous system. This effort can be achieved by the development of metallocene structure, support and polymerization conditions. In this study, zinc oxide (ZnO) nanoparticles, which are also used as photo-stabilizers in polymer nanocomposites, have been selected as the fillers. LLDPE/ZnO nanocomposites were synthesized via in situ polymerization of ethylene/1-octene with zirconocene/MAO catalyst and the effect of comonomer content on the catalytic activity was investigated and further discussed in more details. It was found that different impregnation methods can alter catalytic activity. In addition, comonomer content also affected polymerization activity. All polymers were further characterized using [superscript 13]C NMR to determine the polymer properties and polymer microstructure.
DOI: 10.14457/cu.the.2009.1916
title: Biological behavior of bone cells on two types of hydroxyapatite incorporated polymer scaffold

description: The gold standard for bone loss treatment is autograft but the problem is insufficient bony source. Therefore we used bone tissue engineering concept to develop biodegradable composite materials for repairing bony defect. First we constructed hydroxyapatite (HAp) incorporated poly (L-lactic acid) (PLLA) by electrospinning technique. We determined morphology and mechanical properties of these scaffold by scanning electron microscope and universal testing machine respectively. For biological testing, we evaluated cytotoxicity and bone biological marker gene expression. From the results we found the increasing of osteocalcin mRNA expression and mineralization in MC3T3-E1, a mouse pre-osteoblastic cell line, culturing on PLLA/HAp scaffolds. The results from mechanical properties and biological responses indicated that the fibrous PLLA/HAp could be the material of choice for use in bone regeneration. The PLLA/HAp scaffolds had satisfiable results and electrospinning technique could construct the fibrous and porous scaffold. However, the drawback of this method is difficulty of producing for different shape and thickness. Therefore we developed Polycaprolactone/HAp (PCL/HAp) scaffold prepared by solvent casting and particulate leaching technique. From this procedure we could create porous size between 400-500 µm. and produeced the appropriated shape and size of the scaffold by proper model. For in vitro analysis, the primary bone cells were cultured with these three dimensional (3D) scaffolds. PCL/HAp promoted proliferation, increased collagen type I and osteocalcin mRNA expression and also mineralization when compared to PCL scaffolds. For in vivo bone regeneration, we implanted the PCL/HAp scaffolds in calvarial mice defect for 6 weeks. The PCL/HAp increased new bone formation when compared to that of PCL. The results from in vitro and in vivo testings showed that the PCL/HAp scaffold could be suitable synthetic material for bone tissue engineering. Further studies in the future, however, may include adding some growth factors and testing with other animal models.
DOI: 10.14457/cu.the.2009.1917
title: Plantwide control structures design for alkylation process

description: The plantwide control structure design is complex because of material and energy recycles designed for economic. This research used plantwide control procedure of Wongsri (2009) to develop the control structures for alkylation process. The alkylation process is a complex multi-unit process, which features several unit operations. The main reaction is the combination of isobutane and butene to form iso-octane. Iso-octane is valuable for making gasoline. In this research using software HYSYS to simulate alkylation process at steady state and dynamic. Then we design eight plantwide control structures (CS1 to CS8) for alkylation process using new design procedure of Wongsri (2009) and evaluate the dynamic performance of the designed control structures compare with base case control structure (Luyben, 2002) by two types of disturbances: material and thermal disturbances. The designed control structure has a good performance because it can handle disturbances entering the process and can maintain product quality as compared by integral absolute error (IAE) and total energy use low. Therefore this research establishes that the Wongsri's procedure, which combines heuristics, analytical method and dynamic simulation, a useful design procedure that leads to a good-performance plantwide control system.
DOI: 10.17632/8mdy856frh.4
title: Results of the 3D postioning user study

description: The higher complexity levels of the positioning task require much more time and produce many more errors irrespective of the input method applied. ANOVA found that the positioning task was performed significantly faster with the 3D glove (M=139.1 s, SD=12) than with the 2D glove (M=198.4 s, SD=21.5), F1, 29=11.4, p=0.002. As can be seen in Fig. 9-left, the decrease in the task completion time was much higher for Levels 2 and 3 than for Level 1. The discovered significant differences between 2D and 3D input were 88.3 s (p=0.001) for the most complex trial (Level 3) and 71.8 s (p&lt;0.001) for the slightly less complex trial (Level 2). (this is version 4to test RDM implementations)
DOI: 10.25387/g3.9808256
title: Supplemental Material for Deng et al.

description: <b>Supplemental Table S1. Strains used in this work.</b> <b> </b> <b>Supplemental Table S2. List of conserved kinases screened to find new negative regulators of LIN-12/Notch.</b> Validated positive hits are highlighted in blue. The WormBase ID (WBgene), common name and locus ID for the <i>C. elegans</i> kinases screened are shown in the first three columns. The fourth column shows either (i) feeding-RNAi clones obtained from the commercially available “Ahringer Library” (Kamath and Ahringer 2003), (ii) clones derived from the “Vidal Library” (Rual et al. 2004), and (iii) clones generated by us to fix those that were not correct in the Ahringer Library (against <i>daf-2, gck-1 </i>and <i>T01G5.1</i>), and supplemental clones that did targeted all predicted isoforms of certain genes (<i>atl-1, pkc-1</i>) or did not exist in either the Ahringer or Vidal libraries. The bottom of the table shows clones that targeted five kinase-encoding genes that are now considered pseudogenes (www.wormbase.org, ver. WS272). <b> </b> <b>Supplemental Table S3. Primers used to make RNAi clones. </b>We used these primers to PCR amplify fragments from genomic DNA that encompass exonic regions to target kinases. Most of the primers, and resulting PCR products, described here were made to generate clones against kinases that were not represented in either of the available “feeding” RNAi libraries (see main text). Three of the PCR products were used to correct erroneous clones (<i>daf-2, gck-1</i> and <i>T01G5.1</i>), or to create new clones that would target kinase isoforms that were missed by previously existing clones (<i>atl-1 </i>and <i>pkc-1</i>). The bottom portion of the table shows primers used to build second, or third, “non-overlapping” RNAi clones to confirm results from the initial screen for those genes where null alleles were unavailable or caused lethality (see Fig. 3, main text). <b>Supplemental Figure S1</b>. Additional biological replicate testing enhancement of <i>lin-12(n302)</i> as compared to <i>lin-12(+).</i><br>
DOI: 10.25387/g3.9808256.v1
title: Supplemental Material for Deng et al.

description: <b>Supplemental Table S1. Strains used in this work.</b> <b> </b> <b>Supplemental Table S2. List of conserved kinases screened to find new negative regulators of LIN-12/Notch.</b> Validated positive hits are highlighted in blue. The WormBase ID (WBgene), common name and locus ID for the <i>C. elegans</i> kinases screened are shown in the first three columns. The fourth column shows either (i) feeding-RNAi clones obtained from the commercially available “Ahringer Library” (Kamath and Ahringer 2003), (ii) clones derived from the “Vidal Library” (Rual et al. 2004), and (iii) clones generated by us to fix those that were not correct in the Ahringer Library (against <i>daf-2, gck-1 </i>and <i>T01G5.1</i>), and supplemental clones that did targeted all predicted isoforms of certain genes (<i>atl-1, pkc-1</i>) or did not exist in either the Ahringer or Vidal libraries. The bottom of the table shows clones that targeted five kinase-encoding genes that are now considered pseudogenes (www.wormbase.org, ver. WS272). <b> </b> <b>Supplemental Table S3. Primers used to make RNAi clones. </b>We used these primers to PCR amplify fragments from genomic DNA that encompass exonic regions to target kinases. Most of the primers, and resulting PCR products, described here were made to generate clones against kinases that were not represented in either of the available “feeding” RNAi libraries (see main text). Three of the PCR products were used to correct erroneous clones (<i>daf-2, gck-1</i> and <i>T01G5.1</i>), or to create new clones that would target kinase isoforms that were missed by previously existing clones (<i>atl-1 </i>and <i>pkc-1</i>). The bottom portion of the table shows primers used to build second, or third, “non-overlapping” RNAi clones to confirm results from the initial screen for those genes where null alleles were unavailable or caused lethality (see Fig. 3, main text). <b>Supplemental Figure S1</b>. Additional biological replicate testing enhancement of <i>lin-12(n302)</i> as compared to <i>lin-12(+).</i><br>
DOI: 10.21227/6x55-bx63
title: Internal combustion engine accelerometer data

description: Data from accelerometers mounted on ICE chassis.
DOI: 10.21227/dwsc-nn06
title: Internal combustion engine accelerometer data

description: Data from accelerometers mounted on ICE chassis.
DOI: 10.5281/zenodo.3406505
title: YSI Data from Chalgrove Lake 2019-08-28 to 2019-09-11

description: # General Metadata for Chalgrove Lake YSI Data ## Files Specific metadata for each deployment can be found as text files with the file format of: chalgrove_lake_DDMonthYYYY_metadata.txt<br> <br> Where DDMonthYYY is the date that the deployment ended. ## File Created * 2019-04-12 by KF<br> <br> ## File Modified ## Description These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water. ## Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> <br> * Temperature<br> * Conductivity<br> * pH<br> * ODO<br> * Total Algae<br> <br> ## Measurement Parameters, units, and Variable Names * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> * date = the sampling date reported by the YSI (M/D/YYYY)<br> * time = the sampling time reported by the YSI (HH:MM:SS)<br> * fract_sec = the smapling fractions of a second reported by the YSI<br> * site_name = the site name on the YSI deployment (left blank)<br> * cond = the conductivity (uS/cm)<br> * nLF_cond = the nLF conductivity (uS/cm)<br> * perc_ODO = the percent oxygen saturation<br> * perc_local_ODO = the percent local oxygen saturation<br> * ODO_conc = the dissolved oxygen concentration (mg/L)<br> * sal = the salinity (psu)<br> * sp_cond = the specific conductivity (uS/cm)<br> * TDS = the total dissolved solids (mg/L)<br> * pH = the pH<br> * pH mV = the millivolts of the pH sensor<br> * temp = the temperature (dC)<br> * battery = the battery voltage<br> * cable_pwr = the cable power<br> <br>
DOI: 10.5281/zenodo.3406506
title: YSI Data from Chalgrove Lake 2019-08-28 to 2019-09-11

description: # General Metadata for Chalgrove Lake YSI Data ## Files Specific metadata for each deployment can be found as text files with the file format of: chalgrove_lake_DDMonthYYYY_metadata.txt<br> <br> Where DDMonthYYY is the date that the deployment ended. ## File Created * 2019-04-12 by KF<br> <br> ## File Modified ## Description These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water. ## Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> <br> * Temperature<br> * Conductivity<br> * pH<br> * ODO<br> * Total Algae<br> <br> ## Measurement Parameters, units, and Variable Names * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> * date = the sampling date reported by the YSI (M/D/YYYY)<br> * time = the sampling time reported by the YSI (HH:MM:SS)<br> * fract_sec = the smapling fractions of a second reported by the YSI<br> * site_name = the site name on the YSI deployment (left blank)<br> * cond = the conductivity (uS/cm)<br> * nLF_cond = the nLF conductivity (uS/cm)<br> * perc_ODO = the percent oxygen saturation<br> * perc_local_ODO = the percent local oxygen saturation<br> * ODO_conc = the dissolved oxygen concentration (mg/L)<br> * sal = the salinity (psu)<br> * sp_cond = the specific conductivity (uS/cm)<br> * TDS = the total dissolved solids (mg/L)<br> * pH = the pH<br> * pH mV = the millivolts of the pH sensor<br> * temp = the temperature (dC)<br> * battery = the battery voltage<br> * cable_pwr = the cable power<br> <br>
DOI: 10.17632/d3ndpcj4xm.1
title: Data for: On strategic choices faced by large pharmaceutical laboratories and their effect on innovation risk under fuzzy conditions

description: The attached files contain the information of the Fuzzy Inference Systems that constitute the risk evaluation model proposed in the paper
DOI: 10.17632/z3sbn5j9z7.1
title: Reverse blending case study : Data set and results

description: Reverse blending (RB) is a new one-stage blending problem of Operational Research where the constraints of meeting the outputs requirements are similar to Blending Problem one, but where inputs are not pre-existing and need to be defined (in both number and composition) simultaneously with the quantities to be used in the blending process. RB was designed to meet the challenge of fertilizers mass customization, it can be used to obtain a wide variety of customized fertilizers from a small number of inputs, called Canonical Basis Inputs. These data include a data set of 700 fertilizer requirements and their characteristics as well as the results of the different problems related to RB.
DOI: 10.5281/zenodo.3405914
title: THOR - point clouds

description: <strong>THÖR</strong> is a dataset with human motion trajectory and eye gaze data collected in an indoor environment with accurate ground truth for the position, head orientation, gaze direction, social grouping and goals. THÖR contains sensor data collected by a 3D lidar sensor and involves a mobile robot navigating the space. In comparison to other, our dataset has a larger variety in human motion behaviour, is less noisy, and contains annotations at higher frequencies. The dataset includes 9 separate recordings in 3 variations: ``One obstacle" - features one obstacle in the environment and no robot ``Moving robot" - features one obstacle in the environment and the moving robot ``Three obstacles" - features three obstacles in the environment and no robot <strong>THOR - point clouds </strong>is the part of THÖR data set containing bag files with 3D scans collcted during the experiments. <strong>Reference:</strong> For more details check project website thor.oru.se or check our publications: <pre><code>@article{thorDataset2019, title={TH\"OR: Human-Robot Indoor Navigation Experiment and Accurate Motion Trajectories Dataset}, author={Andrey Rudenko and Tomasz P. Kucner and Chittaranjan S. Swaminathan and Ravi T. Chadalavada and Kai O. Arras and Achim J. Lilienthal}, journal={arXiv preprint arXiv:1909.04403}, year={2019} }</code></pre>
DOI: 10.5281/zenodo.3405915
title: THOR - point clouds

description: <strong>THÖR</strong> is a dataset with human motion trajectory and eye gaze data collected in an indoor environment with accurate ground truth for the position, head orientation, gaze direction, social grouping and goals. THÖR contains sensor data collected by a 3D lidar sensor and involves a mobile robot navigating the space. In comparison to other, our dataset has a larger variety in human motion behaviour, is less noisy, and contains annotations at higher frequencies. The dataset includes 9 separate recordings in 3 variations: ``One obstacle" - features one obstacle in the environment and no robot ``Moving robot" - features one obstacle in the environment and the moving robot ``Three obstacles" - features three obstacles in the environment and no robot <strong>THOR - point clouds </strong>is the part of THÖR data set containing bag files with 3D scans collcted during the experiments. <strong>Reference:</strong> For more details check project website thor.oru.se or check our publications: <pre><code>@article{thorDataset2019, title={TH\"OR: Human-Robot Indoor Navigation Experiment and Accurate Motion Trajectories Dataset}, author={Andrey Rudenko and Tomasz P. Kucner and Chittaranjan S. Swaminathan and Ravi T. Chadalavada and Kai O. Arras and Achim J. Lilienthal}, journal={arXiv preprint arXiv:1909.04403}, year={2019} }</code></pre>
DOI: 10.17632/kjvs5vgkbf.3
title: Novel drug-like RAR-Beta agonist induces BRCA1 to prevent neuropathic pain

description: Differential gene expression analysis (RNA-sequencing) assessed in the SC from L5-SNL rats and non-injured rats, treated with vehicle or C286. Raw counts per gene (Raw counts.zip file) were normalized (quantile normalization; Normaliez counts.zip), then used for a differential gene expression analysis relative to the sample non-injured + vehicle (Diff_expression_DESeq2.zip). In addition, we have included herein a supplementary Table containing Gene Ontology (GO) terms per gene co-expression paths issued from the differential expression analysis. Notice that GO terms are described by their confidence of enrichment, expressend on "-10*log10(p-value).
DOI: 10.15468/conizq
title: On the skull of the Dinosaurian Laelaps incrassatus Cope

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cope, E. D. (1892): On the skull of the Dinosaurian Laelaps incrassatus Cope. Proceedings of the American Philosophical Society 30: 240-245, DOI: 10.5281/zenodo.3406278
DOI: 10.5281/zenodo.3406146
title: The planktonic stages of the salmon louse (Lepeophtheirus salmonis) are tolerant of end-of-century pCO2 concentrations

description: Filename: WaterConditions<br> Routine measurements of water conditions including nutrient levels, alkalinity, water temperature and carbon chemistry as calculated from pH spectroscopy measurements and CO2SYS. Filename: Respiration data.xlsx <br> Oxygen Consumption rates of salmon lice according to age, stage, and pCO2 treatment. Filename: Lipid data.xlsx<br> Lipid volume of salmon lice measured with fluorescence microscopy. Filename: JC10 data.xlsx <br> Metabolic activity observed by measuring mitochondrial membrane potential (MMP). Membrane polarization in mitochondria is an indication of active cells. Polarized mitochondria were represented by red JC-10 aggregate (λ exc/λ em = 488/590 nm) while the green JC-10 monomer (λ exc/λ em = 488/525 nm) labeled the presence of mitochondrial membrane. Filename: Fatty Acid.xlsx<br> Fatty acid profiles of salmon lice according to stage and pCO2 treatment. Data is presented as mass (ng) of the identified fatty acid per individual animal. Columns are separated by the identified fatty acid, '?' indicate ambiguity in the location of the double bond. Filename: CHN data.xlsx<br> Carbon and nitrogen content of individual salmon lice eggs, nauplii, and copepodids.
description: ABSTRACT: The copepod Lepeophtheirus salmonis is an obligate ectoparasite of salmonids. Salmon lice are major pests in salmon aquaculture and due to its economic impact Lepeophtheirus salmonis is one of the most well studied species of marine parasite. However, there is limited understanding of how increased concentration of pCO2 associated with ocean acidification will impact host-parasite relationships. We investigated the effects of increased pCO2 on growth and metabolic rates in the planktonic stages, rearing L. salmonis from eggs to 12 days post hatch copepodids under three treatment levels: Control (416 µatm), Mid (747 µatm), and High (942 µatm). The pCO2 treatment had a significant effect on oxygen consumption rate with the High treatment animals exhibiting the greatest respiration. The treatments did not have a significant effect on the other biological endpoints measured (carbon, nitrogen, lipid volume, and fatty acid content). The results indicate that L. salmonis have mechanisms to compensate for increased concentration of pCO2 and that populations will be tolerant of projected future ocean acidification scenarios. The work reported here also describes catabolism during the lecithotrophic development of Lepeophtheirus salmonis, information that is not currently available to parameterize models of dispersal and viability of the planktonic free-living stages.