Find research datasets worth reusing

opencc-by-4.0Nov 2023View details →

Dataset of comprehensive Full-notch creep tests (FNCT) of selected high-density polyethylene (PE-HD) materials

The dataset provided in this repository comprises data obtained from a series of full-notch creep tests (FNCT) performed on selected high-density polyethylene (PE-HD) materials (for further details, see section 1 Materials in this document) in accordance with the corresponding standard ISO 16770 [1]. The FNCT is one of the mechanical testing procedures used to characterize polymer materials with respect to their environmental stress cracking (ESC) behavior. It is widely applied for PE-HD materials, that are predominantly used for pipe and container applications. It is based on the determination of the time to failure for a test specimen under constant mechanical load in a well-defined and temperature controlled liquid environment. The test device used here also allows for continuous monitoring of applied force, specimen elongation and temperature.

opencc-by-4.0Mar 2024View details →

Data for: Raman microspectroscopy and laser-induced breakdown spectroscopy for the analysis of polyethylene microplastics in human soft tissues

Data from Raman microspectrometry, LIBS, XRF, and particle sizer analysis supports the findings in the published article named Raman microspectroscopy and laser-induced breakdown spectroscopy to analyze polyethylene microplastics in human soft tissues. The aim of this research is to present the optimized protocol for the detection and analysis of microplastics in biological samples.   The tonsil tissue is used for this experiment, and the workflow consists of a few steps: 1. digestion, 2. filtration, 3. analysis.  The presented dataset includes the data for verifying the validity of this proposed protocol and the data from clinical experiments done on tonsils where the protocol is applied. We are focusing only on PE microplastics as they are one of the most frequent plastic types in the environment.  Firstly, the data from the particle sizer show the size distribution before and after KOH treatment, which is necessary for digestion. We are testing if the particles are not affected by the KOH solution. The data are listed in an Excel sheet where the individual detected PE particle size [µm] and their frequencies [%] are annotated. The data are separated into 2 tables in one sheet - 1st represents data collected before KOH and the 2nd after KOH treatment.  To test the limits of our selected systems for microplastic detection, we included the data from Raman and LIBS under the file ‘limitations.’ The different sizes of PE particles, from tens to 1 µm, were analyzed, and the spectra can be retrieved in the folders. The signal intensity can be observed to see the detection limits. For the Raman analysis, the particles were located on the filter. For LIBS, the particles were embedded in epoxy to enable the detection of PE particles in tens of microns. The Raman data are in .txt files and can be opened in any adequate software (Matlab, R, Python, etc.). LIBS data are in specific .libsdata format, which can be opened by LibsAnalyzer software by Lightigo.    The clinical experiment was done on tonsil tissue. The tissue was disgusted and filtered. Then, the filters were analyzed. The dataset presents two sample groups: 1. control-native tissue and 2. test-spiked tissue with PE particles. The data from Raman analysis include both, with the aim to confirm the presence of PE particles in the test sample and to exclude the contamination in the control sample. The spectra are again in .txt files. In the case of control, spectra from unclassified particles are presented. For these reasons, the LIBS and XRF were run to exclude the possibility of the presence of polymeric material on the filter of the control sample. The analyzed chemical elements by LIBS for both samples are in the ASC file. Furthermore, individual PE particles were also analyzed on LIBS to obtain reference results for test samples with added PE microplastics. In the case of XRF, data from the empty filter, control, and test samples are included, each in a .txt file. Individual detected chemical elements and their intensities can be retrieved in the tables.

opencc-by-4.0Aug 2022View details →

A multicenter randomized phase 4 trial comparing Sodium Picosulphate plus Magnesium Citrate vs Polyethylene Glycol plus Ascorbic Acid for bowel PREparation before COLonoscopy. The PRECOL trial.

This is the database for final analysis of the PRECOL clinical trial, whose abstract follows Background. Adequate bowel preparation before colonoscopy is crucial. Unfortunately, up to 25% of all colonoscopies have inadequate bowel cleansing.  From a patient perspective, bowel preparation is a main obstacle for colonoscopy. Several low-volume bowel preparations have been formulated to provide more tolerable purgative solutions without loss of efficacy. Methods: In this phase 4, randomized, multicenter, two-arm trial, adult outpatients undergoing colonoscopy received either Sodium Picosulphate plus Magnesium Citrate (SPMC) or Polyethylene Glycol plus Ascorbic Acid (PEG-ASC) for bowel preparation. The primary aims were to test quality of bowel cleansing (primary endpoint, scored according the Boston Bowel Preparation Scale) and patient’s acceptance (measured with 6 visual analogue scales). The study was open as for treatment assignment, and blinded for primary endpoint assessment that was done independently on videotaped colonoscopies by 2 endoscopists not aware of study arm. A sample size of 525 patients was calculated to recognize a difference of 10% in the proportion of successes between the arms with a two-sided alpha error of 0·05 and 90% statistical power. Findings: overall 550 subjects (279 assigned to PEG-ASC and 271 assigned to SPMC) represented the analysis population. There was no statistically significant difference in the success rate according to BBPS: 94·4% with PEG-ASC and 95·7% with SPMC (P=0·49). Acceptance and willing to repeat were significantly better for SPMC with all the scales. Compliance was less than full in 6·6% and 9·9% of cases with PEG-ASC and SPMC, respectively (P=0·17). Nausea and meteorism were significantly more bothersome with PEG-ASC than SPMC. There were no serious adverse events in either group. Interpretation. SPMC and PEG-ASC are not different in terms of efficacy, but SPMC is better tolerated than PEG-ASC. SPMC could be used as alternative to low-volume PEG based purgative solutions for bowel preparation. Funding. This research had no financial support. ClinicalTrials.gov NCT01649674; EudraCT 2011—000587—10.

opencc-by-4.0Nov 2021View details →

Figure. Cross-sections of ovaries of Heliconia psittacorum (A,B) and Musa velutina (C,D). Polyethylene glycol–embedded ovaries are on the left (A,C). Paraffin-embedded ovaries are on the right (B,D). Scale bars: 1 mm. Images obtained by Anastasia Romanov (A and C) and Bruce Kirchoff (B and D). in USE OF POLYETHYLENE GLYCOL (PEG, CARBOWAX) AS AN EMBEDDING MEDIUM PRODUCES RESULTS COMPARABLE TO PARAFFIN

Figure. Cross-sections of ovaries of Heliconia psittacorum (A,B) and Musa velutina (C,D). Polyethylene glycol–embedded ovaries are on the left (A,C). Paraffin-embedded ovaries are on the right (B,D). Scale bars: 1 mm. Images obtained by Anastasia Romanov (A and C) and Bruce Kirchoff (B and D).

opencc-by-4.0Jul 2021View details →

Dataset related to article "Acetaldehyde in polyethylene terephthalate (PET) bottledwater: assessment and mitigation of health risk for consumers"

The file contains the raw data related to the manuscript: "Acetaldehyde in Polyethylene Terephthalate (PET) Bottled Water: Assessment and Mitigation of Health Risk for Consumers" Abstract: This study was designed to investigate the levels of acetaldehyde residues in polyethylene terephthalate bottled water and its significance in terms of consumer health. We analyzed 104 samples collected throughout Italy, so as to be representative of the national market. Parameters such as CO2 level, shelf life, weight of the empty bottle and distance from the production sites to the point of sale were also collected. Although the levels of acetaldehyde complied with the limits established by Italian legislation, they varied widely, with concentrations ranging from 0.41 to 76.2 µg/L. An assessment of safety for human health, using the margin of exposure approach, showed that the amount of acetaldehyde in bottled water is unlikely to be of any safety concern for human health. The acetaldehyde residues were mainly due to CO2 levels which influence solubility of acetaldehyde in water. They are also related to the size of the bottle and the distance from the store, but not to the shelf life, at least for 40 days. The findings suggest some good practices for a better product from the point of view of public health, like polymer quality and limitation of transport distances. Funding: This research was funded by Mineracqua.

opencc-by-4.0Jul 2022View details →

Assessing the Environmental Potential of Hydrogen from Waste Polyethylene

Dataset associated with the publication "Assessing the Environmental Potential of Hydrogen from Waste Polyethylene" by Cecilia Salah, Selene Cobo, and Gonzalo Guillén-Gosálbez, available at <a href="https://doi.org/10.1016/B978-0-323-85159-6.50322-5">https://doi.org/10.1016/B978-0-323-85159-6.50322-5</a>. The dataset includes the numeric data used both in Figure 2 and Table 1 of the manuscript, in a machine-readable format. The structure of the dataset is here elucidated sheet by sheet: <ul> <li>Fig2-endpoint-results-breakdown: numerical values associated with the total endpoint environmental impacts of the different technologies per impact category, broken down by process component. These values are used to generate Figure 2 of the main manuscript.</li> <li>Tab1-endpoint-results-total: numerical values associated with the total endpoint environmental impacts of the different technologies per impact category. These values as displayed in Table 1 of the main manuscript.</li> </ul>

opencc-by-4.0Aug 2023View details →

Data points for "Modelling sorption of hydrocarbons in polyethylene with the SAFT-γ Mie approach combined with a statistical-mechanical model to describe semi-crystalline polymers"

A variety of thermodynamic calculations (VLE, sorption isotherms, etc.) performed with a combination of the SAFT-γ equation of state and a novel model to account for the constraints affecting the amorphous domains in semi-crystalline polyethylene (PE). Please refer to the original article (published in Macromolecules) for the bibliography and more details.

opencc-by-4.0Oct 2020View details →

Confocal Raman spectroscopy data from native and polyethylene glycol-containing wood

Confocal Raman mapping data from native pine wood and pine wood with polyethylene glycol (PEG) of three different molecular weights in deuterated water. The spectroscopic data consists of 4 text files, each of which contains in total 1600 2D arrays of Raman intensity corresponding to different wavenumber values. Each of these 2D arrays consists of 175 rows with 175 comma-separated values on each row. The 2D arrays corresponding to different wavenumbers are separated by a line starting with '#' and specifying the wavenumber of the subsequent 2D array (unit inverse cm). The wavenumber axis is also given in a separate file. The image size is 45 µm x 45 µm (175 x 175 pixels) and the wavenumber axis consists of 1600 points. For further details on the samples and data collection, see the following reference: Paavo A. Penttilä, Michael Altgen, Muhammad Awais, Monika Österberg, Lauri Rautkari, & Ralf Schweins. Bundling of cellulose microfibrils in native and polyethylene glycol-containing wood cell walls revealed by small-angle neutron scattering. Scientific Reports 10, 20844 (2020). https://doi.org/10.1038/s41598-020-77755-y

opencc-by-4.0Aug 2024View details →

Dataset for the publication: Ruthenium-Catalyzed "Open-Loop" Recycling of Polyethylene via Tandem Isomerization-Metathesis (ISOMET)

This dataset contains the processed data collected in the research study titled "Ruthenium-Catalyzed “Open-Loop” Recycling of Polyethylene via Tandem Isomerization-Metathesis (ISOMET)" published in Green Chemistry.   <h3>Description of included data:</h3> <ul> <li>pyrolysis_product_dist_fig2.csv <ul> <li>Units: wt%</li> <li>wt% for heavy and light with respect to the total liquid fraction</li> <li>total liquid fraction = 100 - gases wt% - solids wt%</li> </ul> </li> <li>chain_length_dist_fig3.csv <ul> <li>Column compound: number of C-atoms in chain</li> <li>Columns before and after in mg</li> </ul> </li> <li>full_conv_exp_run1.csv and full_conv_exp_run2.csv <ul> <li>Column time in minutes</li> <li>Columns for propylene and butene in mmol</li> </ul> </li> <li>20mLDoE_fig4b.csv <ul> <li>Column temperature in °C</li> <li>Column pressure in bar</li> </ul> </li> <li>50mLDoE_fig4c.csv <ul> <li>Column temperature in °C</li> <li>Column pressure in bar</li> </ul> </li> <li>rep_batch_full_fig4d.csv <ul> <li>Column time in h</li> <li>Column propylene in mmol</li> <li>Column exchange: if "yes" gas phase was exchanged after measurement</li> </ul> </li> <li>tga_tipelin_610B_figS1.csv <ul> <li>Column temp in °C</li> <li>Column time in min</li> <li>Column mass in wt%</li> </ul> </li> <li>plot.py <ul> <li>Recreates all the figures in the publication. Requires the packages matplotlib, numpy, pandas, rwthcolors and scipy to be installed in the environment.</li> </ul> </li> </ul>

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Chemical upcycling of polyethylene, polypropylene, and mixtures to high-value surfactants

Conversion of plastic wastes to fatty acids is an attractive means to supplement the sourcing of these high-value, high-volume chemicals. Herein, we report a method for transforming polyethylene (PE) and polypropylene (PP) at ~80% conversion to fatty acids with number average molar masses up to ~700 Da and 670 Da, respectively. The process is applicable to municipal PE and PP wastes and their mixtures. Temperature-gradient thermolysis is the key to controllably degrading PE and PP into waxes and inhibiting producing small molecules. The waxes are upcycled to fatty acids by oxidation over manganese stearate and subsequent saponification. PP ꞵ-scission produces more olefin wax and yields higher acid-number fatty acids than PE. We further convert the fatty acids to high-value, large-market-volume surfactants. Industrial-scale technoeconomic analysis suggests economic viability without subsidies.

opencc-zeroAug 2023View details →

opencc-by-4.0Aug 2023View details →

Data for paper "Designing a Boron Nitride Polyethylene Composite for Shielding Neutrons"

Data set for the paper "Designing a Boron Nitride Polyethylene Composite for Shielding Neutrons" published in Applied Physics Letters Materials (<a href="http://doi.org/10.1063/5.0163377">https://doi.org/10.1063/5.0163377</a>). In this paper, we explore the three different ways to distribute boron-10 within HDPE. These three configurations are called: (1) blended, (2) ideal layered, and (3) manufacturable. Refer to the manuscript for details of these configurations. For the blended configuration, we have uploaded the feather files, which contain all the information that was tracked in Geant4. We have processed the ROOT files, outputted directly from Geant4, into feather files, which include the energy of each particle at the entry and exit surface of the shielding composite along with the particle type and interaction type. The feather files can be easily read into Python using pandas: <pre><code>pd.read_feather(filename)</code></pre> The feather files are labeled as "blended_B10enrich_seed1_processed_*.ftr". Each feather file contains information from ~10 ROOT files. The key information from these feather files, such as the number of neutrons and gammas exiting the shielding composite and effective dose ratio, is saved in a pickle file, called "blended_B10enrich_binned_seed1_compressed.pickle". The pickle files can be read into Python using: <pre><code>with open(filename, 'rb') as pickle_file: dictionary = pickle.load(pickle_file)</code></pre> For the ideal layered configuration, there are ~100 feather files that are available upon request. The corresponding pickle files for the ideal layered configuration are uploaded, see "layered_B10enrich_binned_compressed.pickle", which can be read into Python using the code provided above.  For the manufacturable configuration, there are ~236 feather files that are ~2 GB each. To reduce the number of files uploaded to this repository, we have only uploaded the pickle files for this configuration (see "manufacturable_B10enrich_binned_compressed_*.pickle"). Please contact the authors if you have additional questions (Advik Vira, avira@gatech.edu, or Phillip First, first@gatech.edu).

opencc-by-4.0Sep 2023View details →

A dataset of organic pollutants identified and quantified in recycled polyethylene pellets

The dataset presented here includes the chemical analysis of 28 recycled High-Density Polyethylene (HDPE) pellets obtained from various regions in the Global South, along with a reference sample of virgin plastic. Additionally the polymer test that are HDPE is also provided.

Comparison of Mobile-Bearing and Fixed-Bearing All-Polyethylene Tibia Total Knee Designs

ClinicalTrials.gov study NCT00894361. IPD Sharing: Not stated. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

Polyethylene Glycol Versus Low Volume Solutions Prior to Colonoscopy

ClinicalTrials.gov study NCT02956057. IPD Sharing: NO. Countries: 1. Publications: 1.

A Study of Methoxy Polyethylene Glycol-epoetin Beta (Mircera) in Participants With Chronic Kidney Disease (PRIMAVERA)

ClinicalTrials.gov study NCT01194154. IPD Sharing: Not stated. Countries: 1. Publications: 1.

To Evaluate Patient Preference of Movantik and Polyethylene Glycol 3350 for Opioid Induced Constipation

ClinicalTrials.gov study NCT03060512. IPD Sharing: UNDECIDED. Countries: 1. Publications: 12.

Efficacy Study of Polyethylene Glycol 3350-electrolyte Solution (GoLYTELY®) Versus Lactulose in Patients With Hepatic Encephalopathy.

ClinicalTrials.gov study NCT01283152. IPD Sharing: Not stated. Countries: 1. Publications: 2.

Marathon and Enduron Polyethylene at Long-Term Follow-up

ClinicalTrials.gov study NCT02508428. IPD Sharing: Not stated. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →

Cystic Fibrosis and Gut Dysmotility: The Effect of Polyethylene Glycol (PEG) on Intestinal Transit

ClinicalTrials.gov study NCT04210427. IPD Sharing: NO. Countries: 1. Publications: 7.

A Study of Intravenous Mircera (C.E.R.A or Methoxy Polyethylene Glycol-epoetin Beta) for the Maintenance Treatment of Hemodialysis Participants With Chronic Renal Anemia

ClinicalTrials.gov study NCT00605293. IPD Sharing: Not stated. Countries: 1. Publications: 1.