Research Dataset Catalog and ShareScore Ratings | ScienceDex

zenodo36/100

Spectral flow cytometric tracking of mitochondria transfer in adipose tissue by age and diet

Unmixed fcs files for the stromal vascular fraction of epididymal (eWAT), inguinal (iWAT), and brown adipose tissue (BAT) in mtD2F/+AdipoqCre+/- and different ages or diets.  For a breakdown of samples and code, please see: <a href="https://github.com/ncborcherding/mtD2">https://github.com/ncborcherding/mtD2</a>. The full github repository at time of manuscript acceptance is also in the Zenodo repository under mtD2_GitHubRepo.zip. Antibody Panel:  <table align="center"> <tbody> <tr> <td> Laser </td> <td> Channel </td> <td> Antigen </td> <td> Fluorophore </td> <td> Final Dilution Factor </td> <td> Vendor </td> <td> Clone </td> <td> Catalog Number </td> </tr> <tr> <td> Violet </td> <td> V1 </td> <td> SiglecF </td> <td> BV 421 </td> <td> 1:400 </td> <td> BD Biosciences </td> <td> E50-2440 </td> <td> 562681 </td> </tr> <tr> <td> </td> <td> V2 </td> <td> CD44 </td> <td> Super Bright 436 </td> <td> 1:300 </td> <td> eBioscience </td> <td> IM7 </td> <td> 62-044-180 </td> </tr> <tr> <td> </td> <td> V3 </td> <td> CD11b </td> <td> Pacific Blue </td> <td> 1:300 </td> <td> BioLegend </td> <td> M1/70 </td> <td> 101224 </td> </tr> <tr> <td> </td> <td> V5 </td> <td> IL-33R⍺-biotin </td> <td> n/a </td> <td> 1:300 </td> <td> BioLegend </td> <td> DIH9 </td> <td> 145308 </td> </tr> <tr> <td> </td> <td> V5 </td> <td> Streptavidin (2°) </td> <td> BV 480 </td> <td> 1:300 </td> <td> BD Horizon </td> <td> n/a </td> <td> 564876 </td> </tr> <tr> <td> </td> <td> V7 </td> <td> MHC-II (I-A/I-E) </td> <td> BV 510 </td> <td> 1:300 </td> <td> BioLegend </td> <td> M5/114.15.2 </td> <td> 107636 </td> </tr> <tr> <td> </td> <td> V8 </td> <td> Ly6C </td> <td> BV 570 </td> <td> 1:400 </td> <td> BioLegend </td> <td> HK1.4 </td> <td> 128030 </td> </tr> <tr> <td> </td> <td> V10 </td> <td> KLRG1 </td> <td> BV 605 </td> <td> 1:300 </td> <td> BioLegend </td> <td> 2F1/KLRG1 </td> <td> 138419 </td> </tr> <tr> <td> </td> <td> V11 </td> <td> F4/80 </td> <td> BV 650 </td> <td> 1:300 </td> <td> BioLegend </td> <td> BM8 </td> <td> 123149 </td> </tr> <tr> <td> </td> <td> V13 </td> <td> Ly6G </td> <td> BV 711 </td> <td> 1:300 </td> <td> BioLegend </td> <td> 1A8 </td> <td> 127643 </td> </tr> <tr> <td> </td> <td> V14 </td> <td> CD3 </td> <td> BV 750 </td> <td> 1:300 </td> <td> BioLegend </td> <td> 17A2 </td> <td> 100249 </td> </tr> <tr> <td> </td> <td> V15 </td> <td> CD206 </td> <td> BV 785 </td> <td> 1:200 </td> <td> BioLegend </td> <td> C068C2 </td> <td> 141729 </td> </tr> <tr> <td> Blue </td> <td> B1 </td> <td> mtDendra2 </td> <td> n/a </td> <td> n/a </td> <td> n/a </td> <td> n/a </td> <td> n/a </td> </tr> <tr> <td> </td> <td> B2 </td> <td> TCRb </td> <td> AF 488 </td> <td> 1:300 </td> <td> BioLegend </td> <td> H57-597 </td> <td> 109215 </td> </tr> <tr> <td> </td> <td> B3 </td> <td> CD8 </td> <td> Spark Blue 550 </td> <td> 1:300 </td> <td> BioLegend </td> <td> 53-6.7 </td> <td> 100780 </td> </tr> <tr> <td> </td> <td> B8 </td> <td> CD45 </td> <td> PerCP </td> <td> 1:200 </td> <td> BioLegend </td> <td> 30-F11 </td> <td> 103130 </td> </tr> <tr> <td> </td> <td> B9 </td> <td> CD71 </td> <td> PerCP-Cy5.5 </td> <td> 1:200 </td> <td> BioLegend </td> <td> RI7217 </td> <td> 113816 </td> </tr> <tr> <td> </td> <td> B10 </td> <td> NKp46 </td> <td> PerCP-eFluor710 </td> <td> 1:200 </td> <td> eBioscience </td> <td> 29A1.4 </td> <td> 46-3351-82 </td> </tr> <tr> <td> Green </td> <td> YG1 </td> <td> TCRgd </td> <td> PE </td> <td> 1:300 </td> <td> BioLegend </td> <td> GL3 </td> <td> 118108 </td> </tr> <tr> <td> </td> <td> YG3 </td> <td> CD64 </td> <td> PE/Dazzle 594 </td> <td> 1:300 </td> <td> BioLegend </td> <td> X54-5/7.1 </td> <td> 139320 </td> </tr> <tr> <td> </td> <td> YG4 </td> <td> CD4 </td> <td> PE/Fire 640 </td> <td> 1:300 </td> <td> BioLegend </td> <td> GK1.5 </td> <td> 100482 </td> </tr> <tr> <td> </td> <td> YG5 </td> <td> CD62L </td> <td> PE-Cyanine5 </td> <td> 1:300 </td> <td> BioLegend </td> <td> MEL-14 </td> <td> 104410 </td> </tr> <tr> <td> </td> <td> YG7 </td> <td> CD11c </td> <td> PE-Cyanine5.5 </td> <td> 1:300 </td> <td> eBioscience </td> <td> N418 </td> <td> 35-0114-82 </td> </tr> <tr> <td> </td> <td> YG9 </td> <td> CD25 </td> <td> PE/Cyanine7 </td> <td> 1:200 </td> <td> BioLegend </td> <td> PC61 </td> <td> 102016 </td> </tr> <tr> <td> Red </td> <td> R1 </td> <td> CD9 </td> <td> APC </td> <td> 1:300 </td> <td> BioLegend </td> <td> MZ3 </td> <td> 124812 </td> </tr> <tr> <td> </td> <td> R2 </td> <td> CD127 </td> <td> AF 647 </td> <td> 1:200 </td> <td> BioLegend </td> <td> A7R34 </td> <td> 135020 </td> </tr> <tr> <td> </td> <td> R3 </td> <td> CD19 </td> <td> Spark NIR 550 </td> <td> 1:300 </td> <td> BioLegend </td> <td> 6D5 </td> <td> 115568 </td> </tr> <tr> <td> </td> <td> R4 </td> <td> CD90.2 </td> <td> AF 700 </td> <td> 1:300 </td> <td> BioLegend </td> <td> 30-H12 </td> <td> 105320 </td> </tr> <tr> <td> </td> <td> R5 </td> <td> CD5 </td> <td> BUV 737 </td> <td> 1:300 </td> <td> BD Horizon </td> <td> 53-7-3 </td> <td> 612809 </td> </tr> <tr> <td> </td> <td> R6 </td> <td> Viability dye </td> <td> Zombie NIR </td> <td> 1:1,000 </td> <td> BioLegend </td> <td> n/a </td> <td> 423106 </td> </tr> <tr> <td> </td> <td> R7 </td> <td> NK1.1 </td> <td> APC/Fire 750 </td> <td> 1:300 </td> <td> BioLegend </td> <td> PK136 </td> <td> 108752 </td> </tr> <tr> <td> </td> <td> R8 </td> <td> B220 </td> <td> APC/Fire 810 </td> <td> 1:300 </td> <td> BioLegend </td> <td> RA3-6B2 </td> <td> 103278 </td> </tr> </tbody> </table>

opencc-by-4.0May 2022View details →

zenodo36/100

ObjectJ files for Quantification of ejaculate transfer and removal

Dataset accompanying manuscript "Evolution and co-evolution of the suck behaviour, a postcopulatory female resistance trait that manipulates received ejaculate" . These are the ObjectJ files that were used for quantification of ejaculate transfer and removal in Macrostomum hamatum, described in the manuscript.

opencc-by-4.0Aug 2022View details →

zenodo36/100

Classification of Eye Images by Personal Details With Transfer Learning Algorithms

During the data collection phase of the research, first of all, a brief information was given to the participants about the study, and how the data would be used and what to do. Photographs of the eye area were collected from participants consisting of a total of 96 different people aged between 3-64. It has been clearly stated that there will be no situations that will define them during the photo shoot. Then, at least ten images of the right eye area of each person were taken. In addition, at least ten photographs of the left eye area were taken. Along with these photographs, no data other than the age and gender of the persons was recorded. Below are images of two people of different genders. A total of 1980 images were obtained from the participants, as in the figure above. More than ten images were obtained from some people. For this reason, there is a difference in the number of photos of people. Care has been taken to use different angles and lights so that each photograph does not form the same frame. Thus, photographs that were not, all the same, were collected. In order for each photograph not to be confused with another photograph, a naming rule has been developed to express the person, age, gender and the number of the photograph taken. An underscore ("_") character is inserted between each expression. Each expression used in the naming convention is given below in order. <ul> <li>Person ID: It is a unique code value for each person photographed. This value ranges from 1 to 100.</li> <li>Age: The age is written directly as a number to express how old the person is. This value varies between 3-64.</li> <li>Gender ID: The value of 1 is expressed if the person photographed is male, and the value of 0 if it is a woman.</li> <li>Photo ID: Due to the fact that more than one photo was taken for each person, each photo was numbered sequentially from 1-10.</li> </ul> If this dataset is used, reference should be made to the article below. <ul> <li>Aktürk, C., Aydemir, E., Hama Rashid, Y. M. 2022. Classification of eye images according to person details with the transfer learning algorithms. Acta Informatica Pragensia, DOI: 10.18267/j.aip.190</li> </ul>

opencc-by-4.0Aug 2022View details →

zenodo36/100

Videos of nests of Harpagoxenus sublaevis and Leptothorax acervorum containing Leptothorax acervorum workers transferred as pupae into different social environments i.e. colonies

Ant collection and colony maintenance Colonies of the hosts Leptothorax acervorum and L. muscorum and the dulotic ant Harpagoxenus sublaevis were collected in July 2020 close to Nuremberg, Germany (49.345592, 11.258971 and 49.413857, 11.026181). At the University of Mainz, ants were transferred to plastered nest boxes containing artificial nest sites consisting of a Plexiglas cavity sandwiched between two microscope slides (7.5 cm x 2.5 cm x 0.5 cm) covered with a red foil and kept at 18°C with a 12:12 light: dark cycle. Ants were fed with crickets and honey every fourth day and provided with water ad libitum. Experimental manipulation For our experiment, we selected ten colonies of L. acervorum and five colonies each of L. muscorum and H. sublaevis. Colonies were assigned to one of five replicates, each replicate containing one colony for each of the four treatments. We prepared experimental colonies by standardizing colony size to one queen, 15 small larvae and 30 adult workers (15 inside + 15 outside workers). Adult workers were marked with a thin metal wire between thorax and abdomen (0.02 mm diameter, Elektrisola, red) to allow distinguishing them from our focal newly emerged workers. We removed 24 pupae from each L. acervorum colony, of which six were returned to the natal colony (referred to as “original” treatment), and six each were transferred into another L. acervorum colony (“conspecific” treatment), into an L. muscorum colony (“heterospecific” treatment) and a colony of H. sublaevis (“parasitic” treatment). For the parasitic treatment, we standardized the number of host workers to 60 as described above, but additionally added all H. sublaevis ants (18.4 ± 13.56 adult female individuals). Workers of these obligate social parasites do not take over worker chores, such as brood care and foraging, which are outsourced to host workers. Unfortunately, worker pupae from two of our replicates did not develop into adult workers in sufficient numbers, so that we focused our transcriptomic analyses on workers from the remaining three replicates. Moreover, all L. acervorum pupae transferred into L. muscorum colonies (“heterospecific” treatment) were either killed or expelled from the colony or did not emerge into workers (Survival: Kruskal-Wallis p = 0.05; Rejection (pupae outside the nest over the first three days): Kruskal-Wallis p < 0.001, Wilcoxon Heterospecific-Parasitic p = 0.016, Wilcoxon Heterospecific-Conspecific p = 0.012, Wilcoxon Heterospecific-Original p = 0.004) indicating that L. muscorum not only recognise L. acervorum pupae, but also eliminate them from their colonies. While we were unable to include this heterospecific treatment thus in our analyses, the number of transferred individuals still alive at the end of the experiment did not differ between the remaining treatments (Kruskal-Wallis: p = 0.34). Rejection was calculated as the number of pupae outside the nest over the first three days. Behavioural observations About 10 weeks (63-69 days) after the emergence of the first worker, colonies were transferred to 22°C and the red foil from their glass nest was removed to allow workers to adapt to light. The next day, the slide nest was transferred to a fluon-treated arena (3 cm x 7.5 cm) and each colony was filmed for 100 min in 4k using a SONY FDR-AX33 camera under a Leica KL1500 LED light.

opencc-by-4.0Aug 2022View details →

zenodo36/100

Efficiency and suitability when exploring the conformational space of phase transfer catalysts - Supporting information

Supporting information for Efficiency and suitability when exploring the conformational space of phase transfer catalysts. In this study, a complete exploration of the conformational space within phase transfer catalysts by means of computational methods benchmarking is presented. For this particular research work, only the most applied conformational analysis approaches have been chosen to characterise different Cinchona alkaloid-based phase transfer catalysts. This particular benchmarking study aims to rigorously compare the performance of different conformational methods, determining the strengths of each method and to provide recommendations regarding suitable choices of methods for an analysis.

opencc-by-4.0Jan 2022View details →

zenodo36/100

iTRADE: image-based TRAnsfer learning for Drug Effects

<code>iTRADE: image-based TRAnsfer learning for Drug Effects</code> This dataset supports Berker et al. (2022) IEEE Trans Med Imaging, <a href="https://doi.org/10.1109/TMI.2022.3205554">https://doi.org/10.1109/TMI.2022.3205554</a>. It comprises microscopy images, layout information and metabolic readouts for a total of 18 acquisitions: 1 control experiment (CE) and 17 drug screens (DS). <pre><code>. ├── Images ├── Layouts ├── MeanOfStack ├── Metabolic └── README.md 4 directories, 1 file </code></pre> <code>Images</code>: microscopy images In total, the dataset contains 1 × 420 + 17 × 1848 = 31836 TIFF images (2123194264 bytes) in 18 folders. <pre><code>Images ├── BT-40_V2_DS1 ├── BT-40_V3_DS1 ├── BT-40_V3_DS2 ├── HD-MB03_V1_DS1 ├── HD-MB03_V1_DS2 ├── HD-MB03_V2_DS1 ├── HD-MB03_V2_DS2 ├── INF_R_1021_relapse1_V1_DS2 ├── INF_R_1025_primary_V2_DS1 ├── INF_R_1123_primary_V1_DS1 ├── INF_R_153_CE ├── INF_R_153_V2_DS1 ├── INF_R_153_V3_DS1 ├── NCI-H3122_V2_DS1 ├── SJ-GBM2_V2_DS1 ├── SMS-KCNR_V1_DS1 ├── SMS-KCNR_V2_DS1 └── SMS-KCNR_V2_DS2 18 directories, 0 files </code></pre> Control experiment The <code>INF_R_153_CE</code> folder contains images for a control experiment using the INFR153 cell line subjected to DMSO in 7 × 14 = 98 wells and staurosporine (STS) in 8 × 14 = 112 wells on a single 384-well plate (ignoring border wells). Each well is represented by 2 images (maximum intensity projection, <code>proj</code>, and mid-z image, <code>midz</code>), respectively. In total, this folder contains (7 + 8) × 14 × 2 = 420 images (26 megabytes). <pre><code>Images/INF_R_153_CE ├── [ 60K] INF_R_153_CE_P1_B05_midz_224x224.tif ├── [ 58K] INF_R_153_CE_P1_B05_proj_224x224.tif ┆ ... ├── [ 62K] INF_R_153_CE_P1_O23_midz_224x224.tif └── [ 59K] INF_R_153_CE_P1_O23_proj_224x224.tif 0 directories, 420 files </code></pre> Drug screens Other folders, such as <code>BT-40_V2_DS1</code>, are named for screen identifiers, which consist of a sample identifier (name of cell line, <code>INF_R_153|BT-40|HD-MB03|NCI-H3122|SJ-GBM2|SMS-KCNR</code>, or INFORM pseudonym of primary patient-derived sample, <code>INF_R_[0-9]{3,}_(primary|relapse[0-9])</code>) followed by <code>_V[0-9]_DS[0-9]</code> indicating the biological (<code>V</code>) and the technical (<code>DS</code>) replicate. For the three patient-derived samples included (<code>INF_R_[0-9]{4}</code>), <code>V1</code> signifies fresh viable tissue shipped immediately after biopsy while <code>V2</code> indicates a cell culture shipped after establishment. Each drug-screen folder contains images for a single drug screen consisting of 3 plates per screen, 14 × 22 = 308 wells per plate (namely, a 384-well plate ignoring all border wells), and 2 images per well. In total, each folder contains 3 × 14 × 22 × 2 = 1848 images (112 to 146 megabytes). <pre><code>Images/BT-40_V2_DS1 ├── [ 62K] BT-40_V2_DS1_P1_B02_midz_224x224.tif ├── [ 58K] BT-40_V2_DS1_P1_B02_proj_224x224.tif ┆ ... ├── [ 60K] BT-40_V2_DS1_P3_O23_midz_224x224.tif └── [ 54K] BT-40_V2_DS1_P3_O23_proj_224x224.tif 0 directories, 1848 files Images/BT-40_V3_DS1 ├── [ 64K] BT-40_V3_DS1_P1_B02_midz_224x224.tif ├── [ 61K] BT-40_V3_DS1_P1_B02_proj_224x224.tif ┆ ... ├── [ 63K] BT-40_V3_DS1_P3_O23_midz_224x224.tif └── [ 62K] BT-40_V3_DS1_P3_O23_proj_224x224.tif 0 directories, 1848 files ... </code></pre> Image files Image file names of the form <code>$ScreenID_P[123]_[B-O][0-9]{2}_(midz|proj)_[0-9]+x[0-9]+.tif</code> include the plate number (<code>1</code>, <code>2</code>, <code>3</code>), the well coordinates (<code>B02</code> to <code>O23</code>), the image type (<code>midz|proj</code>) and the size of the square images (<code>224x224</code>). Images are stored in Tagged Image File Format (TIFF), using a 16-bit integer in little-endian encoding for each pixel value. Files have been read from original TIFF image files and downscaled using the <code>Keras-Preprocessing</code> (v1.1.2) <code>load_img</code> function, and resaved (from plain image arrays without any metadata) using the <code>opencv-python</code> (v4.5.5.62) <code>imwrite</code> function using Adobe Deflate as a compression algorithm. <code>Layouts</code>: layout information <pre><code>Layouts ├── Drugs.csv ├── Layout_CE.csv └── Layout_DS.csv 0 directories, 3 files </code></pre> Two text files, <code>Layout_CE.csv</code> and <code>Layout_DS.csv</code>, describe the layout of control experiments (<code>CE</code>) and drug screens (<code>DS</code>), respectively. Note that <code>Layout_DS.csv</code> has been generated from the imaging layout file published with the iTReX web app (available at <a href="https://itrex.kitz-heidelberg.de/">https://itrex.kitz-heidelberg.de/</a>), which can be downloaded from GitHub or iTReX. See <code>itrade.util.layouts.convert_itrex_ds_layout()</code> for details. A third text file, <code>Drugs.csv</code>, maps drug names as used in the iTReX-based <code>Layout_DS.csv</code> to drug names, abbreviations and drug (sub-)classes used throughout the manuscript. This file is used only by <code>plots.R</code>. All layout information is stored in long-table format. Text files are stored as Comma-Separated Values (CSV) with UTF-8 character encoding and Unix-style (<code>LF</code>) line endings. <code>MeanOfStack</code>: mean-of-stack measurements For each drug screen represented by a folder named after the screen identifier, mean-of-stack computations produced from the full-resolution (<code>2048x2048</code> pixels) are stored in matrix format using one text file per plate, named <code>SID_P[123]_$Barcode.txt</code>, e.g., <code>BT-40_V2_DS1_P1_H104-03N1A98.txt</code>. Text files are stored as Tab-Separated Values (TSV) with UTF-8 character encoding and Unix-style (<code>LF</code>) line endings. This folder comprises a total of 17 × 3 = 51 text files. <pre><code>MeanOfStack ├── BT-40_V2_DS1 │ ├── BT-40_V2_DS1_P1_H104-03N1A98.txt │ ├── BT-40_V2_DS1_P2_H104-03N2A98.txt │ └── BT-40_V2_DS1_P3_H104-03N3A98.txt ├── BT-40_V3_DS1 │ ├── BT-40_V3_DS1_P1_H104-03N1D07.txt │ ├── BT-40_V3_DS1_P2_H104-03N2D07.txt │ └── BT-40_V3_DS1_P3_H104-03N3D07.txt ┆ ... └── SMS-KCNR_V2_DS2 ├── SMS-KCNR_V2_DS2_P1_H104-03N1D02.txt ├── SMS-KCNR_V2_DS2_P2_H104-03N2D02.txt └── SMS-KCNR_V2_DS2_P3_H104-03N3D02.txt 17 directories, 51 files </code></pre> <code>Metabolic</code>: metabolic readouts Similar to mean-of-stack computations, metabolic readouts are included for each drug screen. Folder and file names and file formats are identical to the <code>MeanOfStack</code> folder. <pre><code>Metabolic ├── BT-40_V2_DS1 │ ├── BT-40_V2_DS1_P1_H104-03N1A98.txt │ ├── BT-40_V2_DS1_P2_H104-03N2A98.txt │ └── BT-40_V2_DS1_P3_H104-03N3A98.txt ├── BT-40_V3_DS1 │ ├── BT-40_V3_DS1_P1_H104-03N1D07.txt │ ├── BT-40_V3_DS1_P2_H104-03N2D07.txt │ └── BT-40_V3_DS1_P3_H104-03N3D07.txt ┆ ... └── SMS-KCNR_V2_DS2 ├── SMS-KCNR_V2_DS2_P1_H104-03N1D02.txt ├── SMS-KCNR_V2_DS2_P2_H104-03N2D02.txt └── SMS-KCNR_V2_DS2_P3_H104-03N3D02.txt 17 directories, 51 files </code></pre>

opencc-by-nc-sa-4.0Oct 2022View details →

zenodo36/100

Towards transferable data-driven models to predict urban pluvial flood water depth in Berlin, Germany

The attached files include the predictive features and the water depth from 2D hydrodynamic simulations that were used to train data driven models to predict water depth in Berlin.

opencc-by-4.0Oct 2022View details →

zenodo36/100

PERTEMUAN 6_24 OKTOBER 2022_PENENTUAN HARGA TRANSFER (SISTEM PENGENDALIAN MANAJEMEN)_STIESIA SURABAYA

Capaian Pembelajaran Mata Kuliah (CPMK) Mahasiswa mampu menganalisis lingkungan pengendalian manajemen, proses pengendalain manajemen dan variasi dalam pengendalain manajemen dan mampu mendesain serta mampu memanfaatkan  secara optimal sistem pengendalian manajemen untuk mendukung fungsi Controller Mahasiswa mampu penerapan konsep harga transfer produk dan jasa Penentuan Harga Transfer Harga transfer adalah biaya (cost) atau harga (price) yang dibebankan atas pemindahan (transfer) suatu barang atau jasa dari satu divisi ke divisi lain dalam suatu perusahaan. Kewenangan dalam menetapkan besaran harga transfer ini detentukan oleh masing-masing divisi. Latar belakang timbulnya masalah harga transfer dapat dihubungkan dengan proses diferensiasi bisnis dan perlunya integrasi dalam organisasi yang telah melakukan diferensiasi bisnis

opencc-by-4.0Oct 2022View details →

zenodo36/100

Design principles a heterogeneously catalyzed autothermal reactor with enhanced heat and mass transfer for hydrogen production

Design principles a heterogeneously catalyzed autothermal reactor with enhanced heat and mass transfer for hydrogen production Junjie Chen Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com   Catalysis, in chemistry, is the modification of the rate of a chemical reaction, usually an acceleration, by addition of a substance not consumed during the reaction. The rates of chemical reactions, that is, the velocities at which they occur, depend upon a number of factors, including the chemical nature of the reacting species and the external conditions to which they are exposed. A particular phenomenon associated with the rates of chemical reactions that is of great theoretical and practical interest is catalysis, the acceleration of chemical reactions by substances not consumed in the reactions themselves, substances known as catalysts. The study of catalysis is of interest theoretically because of what it reveals about the fundamental nature of chemical reactions; in practice, the study of catalysis is important because many industrial processes depend upon catalysts for their success. In a catalyzed reaction, the catalyst generally enters into chemical combination with the reactants but is ultimately regenerated, so the amount of catalyst remains unchanged. Since the catalyst is not consumed, each catalyst molecule may induce the transformation of many molecules of reactants. For an active catalyst, the number of molecules transformed per minute by one molecule of catalyst may be as large as several million. Where a given substance or a combination of substances undergoes two or more simultaneous reactions that yield different products, the distribution of products may be influenced by the use of a catalyst that selectively accelerates one reaction relative to the other(s). By choosing the appropriate catalyst, a particular reaction can be made to occur to the extent of practically excluding another. Many important applications of catalysis are based on selectivity of this kind. Streamwise distance (millimeters), Reforming channel centerline temperature (degrees kelvin) 0                                 373 0.00025                             373.048742 0.0005                               373.2382942 0.00075                             373.7354626 0.001                                 374.7081362 0.00125                             376.2548823 0.0015                               378.3951976 0.00175                             381.0814232 0.002                                 384.2247405 0.00225                             387.7222496 0.0025                               391.465635 0.00275                             395.3617454 0.003                                 399.3347598 0.00325                             403.3218552 0.0035                               407.2775391 0.00375                             411.1628179 0.004                                 414.9538621 0.00425                             418.6311751 0.0045                               422.1828419 0.00475                             425.6012807 0.005                                 428.8821587 0.00525                             432.025476 0.0055                               435.0312325 0.00575                             437.9015946 0.006                                 440.6398117 0.00625                             443.2502165 0.0065                               445.7371415 0.00675                             448.1049195 0.007                                 450.3600492 0.00725                             452.5057803 0.0075                               454.5475284 0.00775                             456.4896262 0.008                                 458.3374895 0.00825                             460.0954509 0.0085                               461.7689261 0.00875                             463.3600816 0.009                                 464.874333 0.00925                             466.3149298 0.0095                               467.6862047 0.00975                             468.9924902 0.01                                   470.2348696 0.01025                             471.4176754 0.0105                               472.5441571 0.01075                             473.6175642 0.011                                 474.6389798 0.01125                             475.6138198 0.0115                               476.5431672 0.01175                             477.4302716 0.012                                 478.276216 0.01225                             479.0831669 0.0125                               479.8543736 0.01275                             480.5909193 0.013                                 481.2938872 0.01325                             481.9665268 0.0135                               482.6099212 0.01375                             483.2251535 0.014                                 483.8143901 0.01425                             484.377631 0.0145                               484.9170424 0.01475                             485.4347907 0.015                                 485.930876 0.01525                             486.4063812 0.0155                               486.8623897 0.01575                             487.3010677 0.016                                 487.721332 0.01625                             488.1264322 0.0165                               488.515285 0.01675                             488.8889736 0.017                                 489.2496644 0.01725                             489.5962742 0.0175                               489.9309692 0.01775                             490.2526664 0.018                                 490.5646152 0.01825                             490.8646493 0.0185                               491.1560181 0.01875                             491.4365554 0.019                                 491.7073443 0.01925                             491.970551 0.0195                               492.2250926 0.01975                             492.472052 0.02                                   492.7114294 0.02025                             492.9432247 0.0205                               493.1696042 0.02075                             493.3884016 0.021                                 493.6017832 0.02125                             493.8086659 0.0215                               494.0101329 0.02175                             494.2072672 0.022                                 494.3989857 0.02225                             494.5863716 0.0225                               494.7683417 0.02275                             494.9470624 0.023                                 495.1214504 0.02325                             495.2915058 0.0235                               495.4583118 0.02375                             495.6218682 0.024                                 495.7810921 0.02425                             495.9381497 0.0245                               496.0919577 0.02475                             496.2425163 0.025                                 496.3898255 0.02525                             496.5360515 0.0255                               496.679028 0.02575                             496.8187551 0.026                                 496.9563158 0.02625                             497.0927934 0.0265                               497.2260215 0.02675                             497.3570834 0.027                                 497.4859789 0.02725                             497.6137912 0.0275                               497.7383541 0.02775                             497.8618338 0.028                                 497.9831472 0.02825                             498.1033775 0.0285                               498.2203583 0.02875                             498.3362559 0.029                                 498.4499873 0.02925                             498.5637186 0.0295                               498.6666184 0.02975                             498.796597 0.03                                   498.88 Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China

opencc-by-4.0Oct 2022View details →

zenodo36/100

Design principles an autothermal reactor with enhanced mass transfer for hydrogen production

Design principles an autothermal reactor with enhanced mass transfer for hydrogen production Junjie Chen Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com   Chemical engineers are employed in the design and development of both processes and plant items. In each case, data and predictions often have to be obtained or confirmed with pilot experiments. Plant operation and control is increasingly the sphere of the chemical engineer rather than the chemist. Chemical engineering provides an ideal background for the economic evaluation of new projects and, in the plant construction sector, for marketing. The fundamental principles of chemical engineering underlie the operation of processes extending well beyond the boundaries of the chemical industry, and chemical engineers are employed in a range of operations outside traditional areas. Plastics, polymers, and synthetic fibres involve chemical-reaction engineering problems in their manufacture, with fluid flow and heat transfer considerations dominating their fabrication. The dyeing of a fibre is a mass-transfer problem. Pulp manufacture involve considerations of fluid flow and heat transfer. The nuclear industry makes similar demands on the chemical engineer, particularly for fuel manufacture and reprocessing. Chemical engineers are involved in many sectors of the metals processing industry, which extends from steel manufacture to separation of rare metals. Streamwise distance (millimeters), Reforming channel centerline temperature (degrees kelvin) 0                                 373.004 0.00025                             373.059 0.0005                               373.261 0.00075                             373.771 0.001                                 374.741 0.00125                             376.228 0.0015                               378.219 0.00175                             380.651 0.002                                 383.434 0.00225                             386.47 0.0025                               389.674 0.00275                             393.013 0.003                                 396.47 0.00325                             400.02 0.0035                               403.634 0.00375                             407.275 0.004                                 410.898 0.00425                             414.453 0.0045                               417.9 0.00475                             421.231 0.005                                 424.454 0.00525                             427.574 0.0055                               430.596 0.00575                             433.522 0.006                                 436.342 0.00625                             439.041 0.0065                               441.606 0.00675                             444.041 0.007                                 446.359 0.00725                             448.572 0.0075                               450.693 0.00775                             452.727 0.008                                 454.676 0.00825                             456.532 0.0085                               458.289 0.00875                             459.952 0.009                                 461.531 0.00925                             463.036 0.0095                               464.477 0.00975                             465.858 0.01                                   467.18 0.01025                             468.441 0.0105                               469.635 0.01075                             470.767 0.011                                 471.843 0.01125                             472.873 0.0115                               473.859 0.01175                             474.805 0.012                                 475.713 0.01225                             476.579 0.0125                               477.403 0.01275                             478.186 0.013                                 478.933 0.01325                             479.649 0.0135                               480.337 0.01375                             480.998 0.014                                 481.634 0.01425                             482.243 0.0145                               482.823 0.01475                             483.376 0.015                                 483.906 0.01525                             484.415 0.0155                               484.905 0.01575                             485.379 0.016                                 485.835 0.01625                             486.273 0.0165                               486.692 0.01675                             487.093 0.017                                 487.477 0.01725                             487.848 0.0175                               488.206 0.01775                             488.553 0.018                                 488.889 0.01825                             489.212 0.0185                               489.522 0.01875                             489.82 0.019                                 490.106 0.01925                             490.383 0.0195                               490.651 0.01975                             490.913 0.02                                   491.168 0.02025                             491.413 0.0205                               491.648 0.02075                             491.875 0.021                                 492.093 0.02125                             492.306 0.0215                               492.513 0.02175                             492.716 0.022                                 492.915 0.02225                             493.106 0.0225                               493.291 0.02275                             493.469 0.023                                 493.642 0.02325                             493.811 0.0235                               493.977 0.02375                             494.141 0.024                                 494.301 0.02425                             494.456 0.0245                               494.607 0.02475                             494.753 0.025                                 494.895 0.02525                             495.036 0.0255                               495.174 0.02575                             495.311 0.026                                 495.446 0.02625                             495.578 0.0265                               495.706 0.02675                             495.831 0.027                                 495.953 0.02725                             496.074 0.0275                               496.195 0.02775                             496.315 0.028                                 496.433 0.02825                             496.549 0.0285                               496.661 0.02875                             496.772 0.029                                 496.881 0.02925                             496.99 0.0295                               497.092 0.02975                             497.232 0.03                                   497.324 Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China

opencc-by-4.0Oct 2022View details →

zenodo36/100

Design principles an autothermal steam reforming chemical reactor with enhanced heat transfer

Design principles an autothermal steam reforming chemical reactor with enhanced heat transfer Junjie Chen Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com   Heat transfer is any or all of several kinds of phenomena, considered as mechanisms, that convey energy and entropy from one location to another. The specific mechanisms are usually referred to as convection, thermal radiation, and conduction. Conduction involves transfer of energy and entropy between adjacent molecules, usually a slow process. Convection involves movement of a heated fluid, such as air, usually a fairly rapid process. Radiation refers to the transmission of energy as electromagnetic radiation from its emission at a heated surface to its absorption on another surface, a process requiring no medium to convey the energy. thermal conduction, transfer of energy (heat) arising from temperature differences between adjacent parts of a body. Thermal conductivity is attributed to the exchange of energy between adjacent molecules and electrons in the conducting medium. The rate of heat flow in a rod of material is proportional to the cross-sectional area of the rod and to the temperature difference between the ends and inversely proportional to the length; that is the rate equals the ratio of the cross section of the rod to its length, multiplied by the temperature difference and by the thermal conductivity of the material. Streamwise distance (millimeters), Reforming channel centerline temperature (degrees kelvin) 0                                 373 0.00025                             373.005 0.0005                               373.032 0.00075                             373.127 0.001                                 373.373 0.00125                             373.864 0.0015                               374.687 0.00175                             375.89 0.002                                 377.487 0.00225                             379.459 0.0025                               381.763 0.00275                             384.345 0.003                                 387.146 0.00325                             390.107 0.0035                               393.179 0.00375                             396.314 0.004                                 399.476 0.00425                             402.634 0.0045                               405.763 0.00475                             408.845 0.005                                 411.863 0.00525                             414.809 0.0055                               417.674 0.00575                             420.453 0.006                                 423.144 0.00625                             425.743 0.0065                               428.252 0.00675                             430.67 0.007                                 432.998 0.00725                             435.239 0.0075                               437.395 0.00775                             439.468 0.008                                 441.46 0.00825                             443.375 0.0085                               445.215 0.00875                             446.983 0.009                                 448.682 0.00925                             450.315 0.0095                               451.885 0.00975                             453.393 0.01                                   454.844 0.01025                             456.239 0.0105                               457.58 0.01075                             458.87 0.011                                 460.112 0.01125                             461.306 0.0115                               462.457 0.01175                             463.564 0.012                                 464.631 0.01225                             465.659 0.0125                               466.65 0.01275                             467.605 0.013                                 468.525 0.01325                             469.414 0.0135                               470.271 0.01375                             471.098 0.014                                 471.897 0.01425                             472.668 0.0145                               473.413 0.01475                             474.133 0.015                                 474.829 0.01525                             475.502 0.0155                               476.153 0.01575                             476.783 0.016                                 477.393 0.01625                             477.983 0.0165                               478.555 0.01675                             479.108 0.017                                 479.644 0.01725                             480.164 0.0175                               480.669 0.01775                             481.158 0.018                                 481.633 0.01825                             482.093 0.0185                               482.541 0.01875                             482.975 0.019                                 483.397 0.01925                             483.808 0.0195                               484.206 0.01975                             484.594 0.02                                   484.972 0.02025                             485.339 0.0205                               485.696 0.02075                             486.045 0.021                                 486.384 0.02125                             486.714 0.0215                               487.036 0.02175                             487.35 0.022                                 487.657 0.02225                             487.956 0.0225                               488.247 0.02275                             488.533 0.023                                 488.811 0.02325                             489.083 0.0235                               489.349 0.02375                             489.609 0.024                                 489.864 0.02425                             490.112 0.0245                               490.356 0.02475                             490.595 0.025                                 490.828 0.02525                             491.057 0.0255                               491.281 0.02575                             491.501 0.026                                 491.716 0.02625                             491.927 0.0265                               492.134 0.02675                             492.337 0.027                                 492.536 0.02725                             492.732 0.0275                               492.923 0.02775                             493.111 0.028                                 493.296 0.02825                             493.477 0.0285                               493.655 0.02875                             493.829 0.029                                 494 0.02925                             494.171 0.0295                               494.323 0.02975                             494.536 0.03                                   494.685 Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China

opencc-by-4.0Oct 2022View details →

zenodo36/100

Design considerations for a microchannel reactor with enhanced mass transfer

Design considerations for a microchannel reactor with enhanced mass transfer Junjie Chen Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com   The yield in each step must be considered. A step in a synthesis may give a very low yield of the desired product. For example, a proportion of the reactant may be converted into a different product by an alternative process that competes with the desired one; some of the product may undergo a subsequent reaction; or some of the product may be lost in the separation processes required for its isolation in a pure state. The yield is usually defined, on a percentage basis, as the number of molecules of product obtained when 100 could in principle have been formed. A yield of about 80 percent or more is generally considered good, but some transformations can prove so difficult to achieve that even a yield of 10 or 20 percent may have to be accepted. The ultimate synthetic goal in a perfect synthesis is to achieve 100 percent atom efficiency, in which all atoms of all reagents are incorporated into the synthesized product without the formation of any by-products. Naturally, the yield of a process affects the cost of the product, because the shortfall from a 100 percent yield represents wasted material. In addition, yield can be of the utmost importance in determining whether a synthesis is a practicable possibility, because the overall yield of a synthesis is the product of the yields of the individual steps. If these intermediate yields are mostly low, the ultimate product may not be obtainable in the necessary amount from the available starting material. Streamwise distance (millimeters), Oxidation channel centerline temperature (degrees kelvin) 0                                 376.832 0.00025                             392.68 0.0005                               412.751 0.00075                             434.524 0.001                                 453.097 0.00125                             466.556 0.0015                               475.414 0.00175                             481.204 0.002                                 485.533 0.00225                             489.367 0.0025                               492.682 0.00275                             495.234 0.003                                 496.977 0.00325                             498.017 0.0035                               498.539 0.00375                             498.727 0.004                                 498.756 0.00425                             498.74 0.0045                               498.705 0.00475                             498.653 0.005                                 498.578 0.00525                             498.472 0.0055                               498.338 0.00575                             498.177 0.006                                 497.994 0.00625                             497.814 0.0065                               497.656 0.00675                             497.522 0.007                                 497.408 0.00725                             497.306 0.0075                               497.202 0.00775                             497.09 0.008                                 496.981 0.00825                             496.893 0.0085                               496.829 0.00875                             496.779 0.009                                 496.736 0.00925                             496.693 0.0095                               496.644 0.00975                             496.588 0.01                                   496.547 0.01025                             496.536 0.0105                               496.546 0.01075                             496.564 0.011                                 496.578 0.01125                             496.579 0.0115                               496.566 0.01175                             496.551 0.012                                 496.554 0.01225                             496.589 0.0125                               496.646 0.01275                             496.706 0.013                                 496.754 0.01325                             496.783 0.0135                               496.794 0.01375                             496.801 0.014                                 496.828 0.01425                             496.889 0.0145                               496.974 0.01475                             497.058 0.015                                 497.125 0.01525                             497.169 0.0155                               497.194 0.01575                             497.214 0.016                                 497.255 0.01625                             497.333 0.0165                               497.433 0.01675                             497.53 0.017                                 497.608 0.01725                             497.661 0.0175                               497.694 0.01775                             497.724 0.018                                 497.775 0.01825                             497.865 0.0185                               497.976 0.01875                             498.083 0.019                                 498.168 0.01925                             498.227 0.0195                               498.268 0.01975                             498.303 0.02                                   498.361 0.02025                             498.457 0.0205                               498.573 0.02075                             498.683 0.021                                 498.772 0.02125                             498.835 0.0215                               498.878 0.02175                             498.918 0.022                                 498.979 0.02225                             499.076 0.0225                               499.193 0.02275                             499.303 0.023                                 499.392 0.02325                             499.455 0.0235                               499.5 0.02375                             499.54 0.024                                 499.599 0.02425                             499.692 0.0245                               499.801 0.02475                             499.903 0.025                                 499.985 0.02525                             500.043 0.0255                               500.083 0.02575                             500.119 0.026                                 500.169 0.02625                             500.246 0.0265                               500.336 0.02675                             500.42 0.027                                 500.487 0.02725                             500.533 0.0275                               500.563 0.02775                             500.588 0.028                                 500.621 0.02825                             500.672 0.0285                               500.732 0.02875                             500.787 0.029                                 500.829 0.02925                             500.855 0.0295                               500.867 0.02975                             500.868 0.03                                   500.866 Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China

opencc-by-4.0Oct 2022View details →

zenodo36/100

Process intensification in a chemical reactor with enhanced mass transfer for hydrogen production

Process intensification in a chemical reactor with enhanced mass transfer for hydrogen production Junjie Chen Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com   Chemical synthesis is concerned with the construction of complex chemical compounds from simpler ones. A synthesis usually is undertaken for one of three reasons. The first reason is to meet an industrial demand for a product. For example, ammonia is synthesized from nitrogen and hydrogen and is used to make, among other things, ammonium sulfate, employed as a fertilizer; vinyl chloride is made from ethylene and is used in the production of polyvinyl chloride plastic. In general, a vast range of chemical compounds are synthesized for applications. Second, an enormous number of compounds of considerable molecular complexity occur naturally. The syntheses of these natural products have usually been undertaken in the context of the determination of the structures of the compounds; if a material is deduced to have a particular structure on the basis of its chemical reactions and physical properties, then the discovery that a compound synthesized by an unambiguous method for this structure is identical to the natural product provides confirmation of the validity of the assigned structure. Third, a synthesis may be carried out to obtain a compound of specific structure that does not occur naturally and has not previously been made. This type of synthesis is performed in order to examine the properties of the compound and thereby test theories of chemical structure and reactivity. Streamwise distance (millimeters), Wall centerline temperature (degrees kelvin) 0                                 501.211 0.00025                             501.158 0.0005                               500.999 0.00075                             500.714 0.001                                 500.254 0.00125                             499.764 0.0015                               499.441 0.00175                             499.3 0.002                                 499.307 0.00225                             499.312 0.0025                               499.195 0.00275                             498.964 0.003                                 498.605 0.00325                             498.22 0.0035                               497.936 0.00375                             497.767 0.004                                 497.696 0.00425                             497.643 0.0045                               497.535 0.00475                             497.367 0.005                                 497.127 0.00525                             496.875 0.0055                               496.695 0.00575                             496.597 0.006                                 496.57 0.00625                             496.556 0.0065                               496.505 0.00675                             496.414 0.007                                 496.275 0.00725                             496.132 0.0075                               496.044 0.00775                             496.017 0.008                                 496.045 0.00825                             496.079 0.0085                               496.078 0.00875                             496.046 0.009                                 495.978 0.00925                             495.91 0.0095                               495.887 0.00975                             495.916 0.01                                   495.987 0.01025                             496.057 0.0105                               496.093 0.01075                             496.099 0.011                                 496.076 0.01125                             496.056 0.0115                               496.073 0.01175                             496.134 0.012                                 496.231 0.01225                             496.323 0.0125                               496.38 0.01275                             496.409 0.013                                 496.413 0.01325                             496.421 0.0135                               496.462 0.01375                             496.541 0.014                                 496.652 0.01425                             496.755 0.0145                               496.824 0.01475                             496.865 0.015                                 496.886 0.01525                             496.912 0.0155                               496.967 0.01575                             497.057 0.016                                 497.176 0.01625                             497.286 0.0165                               497.362 0.01675                             497.414 0.017                                 497.448 0.01725                             497.486 0.0175                               497.553 0.01775                             497.65 0.018                                 497.773 0.01825                             497.887 0.0185                               497.968 0.01875                             498.026 0.019                                 498.069 0.01925                             498.117 0.0195                               498.191 0.01975                             498.292 0.02                                   498.416 0.02025                             498.53 0.0205                               498.614 0.02075                             498.677 0.021                                 498.727 0.02125                             498.781 0.0215                               498.859 0.02175                             498.96 0.022                                 499.08 0.02225                             499.19 0.0225                               499.272 0.02275                             499.334 0.023                                 499.385 0.02325                             499.44 0.0235                               499.514 0.02375                             499.608 0.024                                 499.718 0.02425                             499.818 0.0245                               499.892 0.02475                             499.948 0.025                                 499.992 0.02525                             500.039 0.0255                               500.1 0.02575                             500.178 0.026                                 500.268 0.02625                             500.349 0.0265                               500.407 0.02675                             500.448 0.027                                 500.477 0.02725                             500.506 0.0275                               500.545 0.02775                             500.596 0.028                                 500.656 0.02825                             500.708 0.0285                               500.741 0.02875                             500.757 0.029                                 500.759 0.02925                             500.755 0.0295                               500.754 0.02975                             500.757 0.03                                   500.759 Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China

opencc-by-4.0Oct 2022View details →

zenodo36/100

Ion-Pair Dynamics upon Photoinduced Electron Transfer Monitored by Pump-Pump-Probe Spectroscopy

The files contain all the data that are shown in the figures of the main text and of the supporting information of the article: Beckwith, J.; Lang, B.; Grilj, J.; Vauthey, E. Ion-Pair Dynamics upon Photoinduced Electron Transfer Monitored by Pump-Pump-Probe Spectroscopy. J. Phys. Chem. Lett. 10 (2019), 10.1021/acs.jpclett.9b01431

opencc-by-4.0Apr 2019View details →

zenodo36/100

Blue Transfer-printed Wash Basin (2445p311)

**Blue transfer-printed wash basin** Location: Eagle Tavern site on UNC Campus (RLA-Or257), Orange County, North Carolina. Period: Historic (19th century). Material: ceramic. Dimensions: length, 22.0 cm; width, 13.2 cm; thickness, 11.3 cm. Notes: Catalog no. 2445p311. North Carolina Archaeological Collection, Research Laboratories of Archaeology, University of North Carolina at Chapel Hill. Model by Abigail Gancz. Source: Objaverse 1.0 / Sketchfab

opencc-bySep 2017View details →

zenodo36/100

Fine-scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data

In recent years, LiDAR technology has gained widespread attention for its ability to provide precise 3D vertical structural data for various objects, particularly forests. In our dataset, we utilized LiDAR data to reconstruct intricately detailed three-dimensional representations of specific larch forest landscapes. These detailed forest structural models enable us to drive three-dimensional radiative transfer models, analyze the radiation budget of the forest canopy, and gain valuable insights into fine-scale forest management strategies. This is the research work we conducted by combining the aforementioned 3D forest scenes with the 3D RTM LESS. If you use our data, please cite our article. You can access our publication via DOI: 10.34133/plantphenomics.0166. We welcome researchers interested in a wide range of fields, such as vegetation ecological applications, to communicate with us by combining 3D vegetation modeling.

opencc-by-4.0Nov 2023View details →

zenodo36/100

Data for paper: Transfer learning for cross-context prediction of protein expression from 5'UTR sequence

This depsit contains data for the paper entitled: "Transfer learning for cross-context prediction of protein expression from 5'UTR sequence". The rebeca.zip file contains a snapshot of the rebeca package which can be used to train, fine tune and test the CONV-LSTM model used in this study. The datasets.zip file contains the compiled sequence to expression datasets from across all Flow-seq expressions considered in this study.  The analysis.zip file contains all data files and jupyter notebooks necessary to reproduce our analysis. Each Flow-seq study has a dedicated folder (e.g., `fepB') with two sub-folders: 1. The `data\_split' folder, which contains the steps necessary to split the Flow-seq data for our ML experiments (a `readme.txt' file describes the input and output files and a jupyter notebook is available to reproduce the data split); 2. The `data\_analysis' folder, which contains a jupyter notebook and the necessary input files to reproduce the analysis of our experiments.

opencc-by-4.0Apr 2024View details →

dryad36/100

Percentage distribution of plant-fixed carbon in orchid shoots and roots, protocorms, and mycorrhizal fungal mycelium and amount (total and concentration) of carbon transferred to protocorms and mycorrhizal fungal mycelium by green orchids in each experimental microcosm

The minute 'dust seeds' of some terrestrial orchids preferentially germinate and develop as mycoheterotrophic protocorms near conspecific adult plants. In this paper we tested the hypothesis that mycorrhizal mycelial connections provide a direct pathway for transfer of recent photosynthate from conspecific green orchids to achlorophyllous protocorms. Mycelial networks of Ceratobasidium cornigerum connecting green Dactylorhiza fuchsii plants with developing achlorophyllous protocorms of the same species were established on oatmeal or water agar before the shoots of green plants were exposed to 14CO2. After incubation for 48 hours, the pattern of distribution of fixed carbon was visualised in intact entire autotrophic/protocorm systems using digital autoradiography and quantified in protocorms by liquid scintillation counting. The data presented here represent the percentage distribution of the 14C fixed by the orchids in our experimental systems to plant shoots, roots, protocorms and the mycorrhizal mycelium. We also show the total amount of 14C present in plant shoots and protocorms when grown in each of the three media tested (100% water agar, 100% oatmeal agar, and 50:50 water: oatmeal agar). We also show the amount of carbon (total and concentration) transferred from green orchids to protocorms and mycorrhizal mycelium in each microcosm across the three media treatments.

opencc-zeroMay 2024View details →

zenodo36/100

Cell type matching across species using protein embeddings and transfer learning

TACTiCS is a method to transfer and align cell types in cross-species data. This repository contains the protein sequences, protein embeddings, count matrices and trained models for human, mouse and marmoset.

opencc-by-4.0Jan 2023View details →

zenodo36/100

Modeling of Speech-dependent Own Voice Transfer Characteristics for Hearables with In-ear Microphones: Audio Examples

This upload contains audio examples for the preprint "Modeling of Speech-dependent Own Voice Transfer Characteristics for Hearables with In-ear Microphones". The audio files correspond to subplots of the spectrogram shown in the default preview, starting from the upper left corner (subplot 0) to the upper right corner (subplot 1) and so on. <h2>Abstract</h2> Many hearables contain an in-ear microphone, which may be used to capture the own voice of its user. However, due to the hearable occluding the ear canal, the in-ear microphone mostly records body-conducted speech, typically suffering from band-limitation effects and amplification at low frequencies. Since the occlusion effect is determined by the ratio between the air-conducted and body-conducted components of own voice, the own voice transfer characteristics between the outer face of the hearable and the in-ear microphone depend on the speech content and the individual talker. In this paper, we propose a speech-dependent model of the own voice transfer characteristics based on phoneme recognition, assuming a linear time-invariant relative transfer function for each phoneme. We consider both individual models as well as models averaged over several talkers. Experimental results based on recordings with a prototype hearable show that the proposed speech-dependent model enables to simulate in-ear signals more accurately than a speech-independent model in terms of technical measures, especially under utterance mismatch and talker mismatch. Additionally, simulation results show that talker-averaged models generalize better to different talkers than individual models.   The examples are also available here: <a href="https://m-ohlenbusch.github.io/own_voice_modeling_examples/" target="_blank" rel="noopener">https://m-ohlenbusch.github.io/own_voice_modeling_examples/</a> Arxiv preprint: <a href="https://arxiv.org/abs/2310.06554">https://arxiv.org/abs/2310.06554</a>

opencc-by-nc-nd-4.0May 2024View details →

Find research datasets worth reusing

Dataset results

Spectral flow cytometric tracking of mitochondria transfer in adipose tissue by age and diet

ObjectJ files for Quantification of ejaculate transfer and removal

Classification of Eye Images by Personal Details With Transfer Learning Algorithms

Videos of nests of Harpagoxenus sublaevis and Leptothorax acervorum containing Leptothorax acervorum workers transferred as pupae into different social environments i.e. colonies

Efficiency and suitability when exploring the conformational space of phase transfer catalysts - Supporting information

iTRADE: image-based TRAnsfer learning for Drug Effects

Towards transferable data-driven models to predict urban pluvial flood water depth in Berlin, Germany

PERTEMUAN 6_24 OKTOBER 2022_PENENTUAN HARGA TRANSFER (SISTEM PENGENDALIAN MANAJEMEN)_STIESIA SURABAYA

Design principles a heterogeneously catalyzed autothermal reactor with enhanced heat and mass transfer for hydrogen production

Design principles an autothermal reactor with enhanced mass transfer for hydrogen production

Design principles an autothermal steam reforming chemical reactor with enhanced heat transfer

Design considerations for a microchannel reactor with enhanced mass transfer

Process intensification in a chemical reactor with enhanced mass transfer for hydrogen production

Ion-Pair Dynamics upon Photoinduced Electron Transfer Monitored by Pump-Pump-Probe Spectroscopy

Blue Transfer-printed Wash Basin (2445p311)

Fine-scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data

Data for paper: Transfer learning for cross-context prediction of protein expression from 5'UTR sequence

Percentage distribution of plant-fixed carbon in orchid shoots and roots, protocorms, and mycorrhizal fungal mycelium and amount (total and concentration) of carbon transferred to protocorms and mycorrhizal fungal mycelium by green orchids in each experimental microcosm

Cell type matching across species using protein embeddings and transfer learning

Modeling of Speech-dependent Own Voice Transfer Characteristics for Hearables with In-ear Microphones: Audio Examples

Understand access before you commit

Allen Brain Atlas

Annotated Behaviour and Observability Dataset (ABODe)

DANDI Archive for NWB datasets

International Brain Laboratory public data

OpenNeuro

Your academic CV and NIH biosketch