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2,885 results for “transfers”
Single column 1D radiative transfer simulations for a case study of multilayer mixed-phase cloud in Punta Arena Chile
<p>This data set contain the input files and output simulations from a single column 1D radiative transfer simulations using the <strong>R</strong>apid <strong>R</strong>adiative <strong>T</strong>ransfer <strong>M</strong>odel for <strong>G</strong>eneral Circulation Model (GCM) applications (RRTMG). The simulations are focused on a selected case study of multiple-layer mixed phase cloud observed in Punta Arenas Chile. The input parameters of the simulations are based on remote sensing observations, which were synergistically used with the Cloudnet and VOODOO algorithm to derive macro and microphysical properties of clouds. The atmospheric profiles of temperature, pressure, and ozone are from ERA5 (European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis) and values of surface albedo from CERES (Clouds and the Earth's Radiant Energy System) SYN1deg Ed. 4.1.</p>
Data on technology transfer in Scopus (without cleaning)
<p>The project presented has the objective of developing a methodology for technology transfer (TT), based on descriptive research, with a longitudinal design by collecting data over time in an express period to make inferences regarding change, on the characteristics of scientific production on TT. With the trend obtained, the dimensions, variables and indicators, associated with the context, will be determined for the subsequent validation of experts and the use of other resources from the information sciences.</p>
Data on technology transfer in WoS (without cleaning)
<p>The project presented has the objective of developing a methodology for technology transfer (TT), based on descriptive research, with a longitudinal design by collecting data over time in an express period to make inferences regarding change, on the characteristics of scientific production on TT. With the trend obtained, the dimensions, variables and indicators, associated with the context, will be determined for the subsequent validation of experts and the use of other resources from the information sciences.</p>
Database for "Phenotype-fitness relationships and pollen transfer efficiency of five orchid species with different pollination strategies" American Journal of Botany 2023
<p>Public data from the paper: Phenotype-fitness relationships and pollen transfer efficiency of five orchid species with different pollination strategies by M. Capò, J. Borràs, S. Perellò-Suau, J. Rita and J. Cursach, published in American Journal of Botany 2023. <a href="https://doi.org/10.5281/zenodo.7826601">DOI: 10.5281/zenodo.7826601</a></p>
Genome assemblies: Horizontal transfer of pOXA-48 from a hypervirulent Klebsiella pneumoniae ST23/KL57 to Serratia marcescens
<p>Hypervirulent Klebsiella pneumonia isolates express a range of virulence factors, often encoded on virulence plasmids. Occasionally these hypervirulent lineages acquire antimicrobial resistance genes rendering them multidrug-resistant. We describe the nosocomial transmission of a hypervirulent K. pneumoniae ST23/KL57 isolate carrying an NDM-1 and OXA-48 beta-lactamase among COVID-19 patients in a Danish university hospital. Furthermore, we characterize the plasmid structure and describe a within-patient horizontal transfer of a plasmid carrying a blaOXA-48 gene from K. pneumoniae ST23/KL57 to a Serratia marcescens isolate.</p>
The kinetics and energetics of electron transfer to dimer radical cations
<p>Data files associated with publication titled "The kinetics and energetics of electron transfer to dimer radical cations" <em>J. Phys. Chem. B</em> 2023, 127, 13, 2881–2886</p>
Zinc(II) Complexes with Triplet Charge-Transfer Excited States Enabling Energy-Transfer Catalysis, Photoinduced Electron Transfer, and Upconversion
<p>Raw data to the graphs of the publication</p>
TIRF Microscopy Data Files. "Multiple RNA- and DNA-binding proteins exhibit direct transfer of polynucleotides: Implications for target site search"
<p>TIRF-microscopy images and analysis data from single-molecule experiments assessing the direct transfer phenomenon in the TREX1 exonuclease. </p>
A High-Level Quantum Chemical Study of the Thermodynamics Associated with Chlorine Transfer between N-Chlorinated Nucleobases
<p>Geometries of the isomers of the N-Chlorinated nucleobases (adenine, guanine and thymine) as well as the lowest energy structures of the DNA bases (adenine, cytosine, guanine and thymine) obtained at the B3LYP/6-31G(2df,p) level of theory (in Cartesian Coordinates).</p> <p> </p> <p><strong>ABSTRACT: </strong>The relative free energies of the isomers formed upon <em>N</em>-chlorination of each nitrogen atom within the DNA nucleobases (adenine, guanine, and thymine) have been obtained using the high-level G4(MP2) composite ab initio method (the free energies of the <em>N</em>-chlorinated isomers of cytosine have been reported at the same level of theory previously). Having identified the lowest energy <em>N</em>-chlorinated derivatives for each nucleobase, we have computed the free energies associated with chlorine transfer from <em>N</em>-chlorinated nucleobases to other unsubstituted bases. Our results provide quantitative support pertaining to the results of previous experimental studies, which demonstrated that rapid chlorine transfer occurs from an <em>N</em>-chlorothymidine to cytidine or adenosine. The results of our calculations in the gas-phase reveal that chlorine transfer from <em>N</em>-chlorothymine to either cytosine, adenine, or guanine proceed via exergonic processes with D<em>G</em><sup>o</sup> values of ­–50.3 (cytosine), –28.0 (guanine), and –6.7 (adenine) kJ mol<sup>–1</sup>. Additionally, we consider the effect of aqueous solvation by augmenting our gas-phase G4(MP2) energies with solvation corrections obtained using the conductor-like polarizable continuum model. In an aqueous solution, we obtain the following G4(MP2) free energies associated with chlorine transfer from <em>N</em>-chlorothymine to the three other nucleobases: –58.4 (cytosine), –26.4 (adenine), and –18.7 (guanine) kJ mol<sup>–1</sup>. Therefore, our calculations, whether in the gas phase or in an aqueous solution, clearly indicate that chlorine transfer from any of the <em>N</em>-chlorinated nucleobases to cytosine provides a thermodynamic sink for the active chlorine. This thermodynamic preference for chlorine transfer to cytidine may be particularly deleterious since previous experimental studies have shown that nitrogen-centered radical formation (via N–Cl bond homolysis) is more easily achieved in <em>N</em>-chlorinated cytidine than in other <em>N</em>-chlorinated nucleosides.</p>
Dataset for "Generalizing property prediction of ionic liquids from limited labeled data: a one-stop framework empowered by transfer learning"
<p>Dataset for "Generalizing property prediction of ionic liquids from limited labeled data: a one-stop framework empowered by transfer learning", codes can be found <a href="https://github.com/GuzhongChen/ILTransR">here</a>.</p>
Transfer-Path-Based Hardware-Reuse Strong PUF Achieving Modeling Attack Resilience With >200 Million Training CRPs [DATASET]
<p>This is the CRP dataset for the IEEE TIFS paper titled "Transfer-Path-Based Hardware-Reuse Strong PUF Achieving Modeling Attack Resilience With >200 Million Training CRPs". It contains 2 packages with details as below:</p> <p>Package 1: "CRPs_14k_2048TPs_bit5_bit6.zip"<br> Description: It consists of 2048*3 files, which contains all the CRPs extracted from 2048 TPs with DOA disable. Using these data, we can train each ANN model for each TP(i,j), and the corresponding prediction results are shown in Fig. 14 and Fig. 15 in the paper.</p> <p>- "tdc_stim_i_j.csv" is the 64-bit challenges of TP(i,j).<br> - "tdc_resp_F1_i_j_bit5.csv" is the responses of TP(i,j) with bit(5) of TDC used as PUF response<br> - "tdc_resp_F1_i_j_bit6.csv" is the responses of TP(i,j) with bit(6) of TDC used as PUF response</p> <p>Package 2: "CRPs_DOA_330818x1024_bit5_bit6.zip"<br> Description: It consists of 3 files. Using the dataset, we trained each ANN model for each bit in RSobf, and the prediction results of all the ANN models are shown in Fig.17. Notice that the length of RS is dependent on the specific challenge. Here, only those RS consisting of ≥1024 responses are selected and only the first 1024 bits in the selected RS are used for authentication accordingly.</p> <p>- "chal_330818.csv" is the 330818 64-bit challenges.<br> - "resp_330818x1024_bit5.csv" is the 330818 1024-bit obfuscated response streams (RSobf) extracted from 2048 TPs using bit(5) of TDC.<br> - "resp_330818x1024_bit6.csv" is the 330818 1024-bit RSobf extracted from 2048 TPs using bit(6) of TDC.<br> </p>
Cryogenic electron ptychographic single particle analysis with wide bandwidth information transfer
<p>Advances in cryogenic transmission electron microscopy have revolutionised the determination of many macromolecular structures at atomic or nearatomic resolution. This method is based on conventional defocused phase contrast imaging. However, it has limitations of weaker contrast for small biological molecules embedded in vitreous ice, in comparison with cryo-ptychography, which shows increased contrast. Here we report a single-particle analysis based on the use of ptychographic reconstruction data, demonstrating that three dimensional reconstructions with a wide information transfer bandwidth can be recovered by Fourier domain synthesis. Our work suggests future applications in otherwise challenging single particle analyses, including small macromolecules and heterogeneous or flexible particles. In addition structure determination in situ within cells without the requirement for protein purification and expression may be possible.</p>
Brightness Temperature Spectra 400-1200 cm**-1 from satellite METEOR-29 instrument SI-1 in February 1979 along with radiative transfer simulations from 4 different reanalyses, clear scenes only over ocean
<p>This dataset is published in support of a tentative journal publication in a peer-reviewed journal. The full data record is scheduled for release under DOI:10.15770/EUM_SEC_CLM_0086</p>
Single-electron-charge transfer into putative Majorana and trivial modes in individual vortices
<p>Supporting data for Jian-Feng Ge, et al. “Single-electron-charge transfer into putative Majorana and trivial modes in individual vortices”.</p> <p>The following data files are used for the following figures.</p> <p> Fig. 1 a Illustration figure, no data used<br> b NbSe2_04_220202_0184.txt<br> c FeTeSe_08_210604_0614.txt</p> <p> Fig. 2 a NbSe2_04_220202_0133_raw.txt<br> b NbSe2_04_220202_dIdV_0033_0037_raw.txt<br> c NbSe2_04_220202_0133_raw.txt<br> d NbSe2_04_220202_0133_deconv.txt<br> e NbSe2_04_220202_dIdV_0033_0037_deconv.txt<br> f NbSe2_04_220202_0133_deconv.txt</p> <p> Fig. 3 a FeTeSe_08_210604_0188_raw.txt<br> b FeTeSe_08_210604_dIdV_0121_0122_raw.txt<br> c FeTeSe_08_210604_0188_raw.txt<br> d FeTeSe_08_210604_0188_deconv.txt<br> e FeTeSe_08_210604_dIdV_0121_0122_deconv.txt<br> f FeTeSe_08_210604_0188_deconv.txt</p> <p> Fig. 4 a 220210_NbSe2_04_2.3K_spectrum_06_08.txt<br> b qeff_NbSe2.txt<br> c 210622_FeTeSe08_2.3K_spectrum_06_04.txt<br> d qeff_FeTeSe.txt</p> <p>Supplementary Fig. 1 a PbtipPb111.txt<br> b PbtipAu111.txt<br> c Pbtipfits.txt</p> <p>Supplementary Fig. 2 a Illustration figure, no data used<br> b linecut_raw.txt<br> c linecut_deconv.txt<br> d peak_pos.txt<br> e peak_amp.txt</p> <p>Supplementary Fig. 3 a NbSe2_04_220202_0098_raw.txt<br> b NbSe2_04_220202_0098_c_33_31_a_63_0_raw.txt<br> c NbSe2_04_220202_0098_raw.txt<br> d 220210_NbSe2_04_2.3K_spectrum_04_03.txt<br> e NbSe2_04_220202_0098_deconv.txt<br> f NbSe2_04_220202_0098_c_33_31_a_63_0_deconv.txt<br> g NbSe2_04_220202_0098_deconv.txt<br> h 220210_NbSe2_04_2.3K_spectrum_04_03_qeff.txt<br> i NbSe2_04_220202_0172_raw.txt<br> j NbSe2_04_220202_0098_c_33_35_a_0_63_raw.txt<br> k NbSe2_04_220202_0172_raw.txt <br> l 220210_NbSe2_04_2.3K_spectrum_10_11.txt<br> m NbSe2_04_220202_0172_deconv.txt<br> n NbSe2_04_220202_0098_c_33_35_a_0_63_deconv.txt<br> o NbSe2_04_220202_0172_deconv.txt<br> p 220210_NbSe2_04_2.3K_spectrum_10_11_qeff.txt</p> <p>Supplementary Fig. 4 a FeTeSe_08_210604_0355_raw.txt<br> b FeTeSe_08_210604_0355_c_26_30_a_63_0_raw.txt<br> c FeTeSe_08_210604_0355_raw.txt<br> d 210622_FeTeSe08_2.3K_spectrum_15_14.txt<br> e FeTeSe_08_210604_0355_deconv.txt<br> f FeTeSe_08_210604_0355_c_26_30_a_63_0_deconv.txt<br> g FeTeSe_08_210604_0355_deconv.txt<br> h 210622_FeTeSe08_2.3K_spectrum_15_14_qeff.txt<br> i FeTeSe_08_210604_0463_raw.txt<br> j FeTeSe_08_210604_0463_c_26_27_a_0_0_raw.txt<br> k FeTeSe_08_210604_0463_raw.txt <br> l 210622_FeTeSe08_2.3K_spectrum_27_24.txt<br> m FeTeSe_08_210604_0463_deconv.txt<br> n FeTeSe_08_210604_0463_c_26_27_a_0_0_deconv.txt<br> o FeTeSe_08_210604_0463_deconv.txt<br> p 210622_FeTeSe08_2.3K_spectrum_27_24_qeff.txt</p> <p>Supplementary Fig. 5 a 220210_NbSe2_04_2.3K_spectrum_06_08_qeff.txt<br> b 210622_FeTeSe08_2.3K_spectrum_06_04_qeff.txt</p> <p>Supplementary Fig. 6 a FeSeTe_07_180716_0309_topo.txt<br> b FeSeTe_07_180716_0309_ring.txt<br> c FeTeSe_08_210604_0355_raw.txt<br> d 180809_FeSeTe7_ring_2.5MOhm_3K_map_04.txt<br> e 180907_FeSeTe7_Pbtip_10MOhm_3K_spectra_24.txt<br> f 180907_FeSeTe7_Pbtip_10MOhm_3K_spectra_24_qeff.txt<br> <br> Supplementary Fig. 7 qeff_vs_qpcontrib.py</p> <p>Supplementary Fig. 8 a FeTeSe_10_211111_didv_FB.txt<br> b FeTeSe_10_211111_didv_FB_ratio_sim.txt</p> <p>Supplementary Fig. 9 220810_NbSe2_06_2.3K_spectrum_01_19.txt</p> <p>Supplementary Fig. 10 a NbSe2_05_220503_dIdV_0017.txt<br> b 220510_NbSe2_05_2.3K_spectrum_01.txt</p>
Dataset from: The origin and fate of fungal mitochondrial horizontal gene transferred sequences in orchids (Orchidaceae)
<p>The transfer of DNA among distantly related organisms is relatively common in bacteria but less prevalent in eukaryotes. Among fungi and plants, few of these events have been reported. Two segments of fungal mitochondrial DNA have been discovered in the mitogenome of orchids. Here, we build on their work to understand the timing of those transfer events, which orchids retain the fungal DNA, and the fate of the foreign DNA during orchid evolution. We update the content of the large DNA fragment and establish that it was transferred to the most recent common ancestor of a highly diverse clade of epidendroid orchids that lived ~28–43 Mya. Also, we present hypotheses of the origin of the small transferred fragment. Our findings deepen the knowledge of these interesting DNA transfers among organelles and we formulate a probable mechanism for these horizontal gene transfer events.</p>
Improved dual-permeability model for characterizing the mass transfer process inside matrix blocks
<p>The dual-permeability model (DPM) is highly efficient for describing bimodal transport in heterogeneous porous media. However, it uses only one domain to describe the matrix blocks, and it therefore ignores the impact of the mass transfer process inside the matrix blocks at the microscale. Therefore, in this study, to investigate the effect of the mass transfer process in dual-permeability media and the computational accuracy when considering it, the dual-permeability model with a transition domain (DPMTD) is proposed based on the DPM. Comparison of the DPMTD with the DPM by applying them to a sand column experiment with the same concept as the model reveals that the DPMTD captures the bimodal transport (especially the first peak) more effectively because it calculates the rapid exchange of solute in the early stage more accurately. Subsequently, the same conclusion is reached when both models are applied to a reported solute displacement experiment for an Andisol. In short, we suggest that the mass transfer process inside matrix blocks needs to be characterized in the model to achieve higher accuracy and provides a new approach for modeling the solute transport of preferential flow.</p>
Data - A Functionalized Monte Carlo 3D Radiative Transfer Model: Radiative Effects of Clouds over Reflecting Surfaces
<p>Data and scripts associated with the article "A Functionalized Monte Carlo 3D Radiative Transfer Model: Radiative Effects of Clouds over Reflecting Surfaces"</p>
Reddit Comments Dataset for Text Style Transfer Tasks
<p><strong>Reddit Comments Dataset for Text Style Transfer Tasks</strong></p> <p>A dataset of Reddit comments prepared for Text Style Transfer Tasks.</p> <p>The dataset contains Reddit comments translated into a formal language. For the translation of Reddit comments into a formal language text-davinci-003 was used. To make text-davinci-003 translate the comments into a more formal version, the following prompt was used:<br> "Here is some text: {original_comment} Here is a rewrite of the text, which is more neutral: {"<br> This prompting technique was taken from <a href="https://arxiv.org/abs/2109.03910">A Recipe For Arbitrary Text Style Transfer with Large Language Models</a>.</p> <p>The dataset contains comments from the following Subreddits: antiwork, atheism, Conservative, conspiracy, dankmemes, gaybros, leagueoflegends, lgbt, libertarian, linguistics, MensRights, news, offbeat, PoliticalCompassMemes, politics, teenagers, TrueReddit, TwoXChromosomes, wallstreetbets, worldnews.</p> <p>The quality of formal translations was assessed with BERTScore and chrF++:</p> <ul> <li>BERTScore: F1-Score: 0.89, Precision: 0.90, Recall: 0.88</li> <li>chrF++: 37.16</li> </ul> <p>The average perplexity of the generated formal texts was calculated using GPT-2 and is 123.77</p> <p><br> The dataset consists of 3 components.</p> <p><strong>reddit_commments.csv</strong></p> <p>This file contains a collection of randomly selected comments from 20 Subreddits. For each comment, the following information was collected:<br> - subreddit (name of the subreddit in which the comment was posted)<br> - id (ID of the comment)<br> - submission_id (ID of the submission to which the comment was posted)<br> - body (the comment itself)<br> - created_utc (timestamp in seconds)<br> - parent_id (The ID of the comment or submission to which the comment is a reply)<br> - permalink (The URL to the original comment)-<br> - token_size (How many tokens the comment will be split into by the standard GPT-2 tokenizer)<br> - perplexity (What perplexity does GPT-2 calculate for the comment)</p> <p>The comments were filtered. This file contains only comments that:<br> - have been split by GPT-2 Tokenizer into more than 10 tokens but less than 512 tokens.<br> - are not [removed] or [deleted]<br> - do not contain URLs</p> <p>This file was used as a source for the other two file types.</p> <p><strong>Labeled Files</strong> (training_labeled.csv and eval_labeled.csv)</p> <p>These files contain the formal translations of the Reddit comments.</p> <p>The 150 comments with the highest calculated perplexity of GPT-2 from each Subreddit were translated into a formal version. This filter was used to translate as many comments as possible that have large stylistic salience.</p> <p>They are structured as follows:<br> - Subreddit (name of the subreddit where the comment was posted).<br> - Original Comment<br> - Formal Comment</p> <p><strong>Labeled Files with Style Examples </strong>(training_labeled_with_style_samples.json and eval_labeled_with_style_samples.json)</p> <p>These files contain an original Reddit comment, three sample comments from the same subreddit, and the formal translation of the original Reddit comment.</p> <p>These files can be used to train models to perform style transfers based on given examples.<br> The task is to transform the formal translation of the Reddit comment, using the three given examples, into the style of the examples.</p> <p>An entry in this file is structured as follows:</p> <p>"data":[<br> {<br> "input_sentence":"The original Reddit comment",<br> "style_samples":[<br> "sample1",<br> "sample2",<br> "sample3"<br> ],<br> "results_sentence":"The formal translated input_sentence",<br> "subreddit":"The subreddit from which the comments originated"<br> },<br> "..."<br> ]</p> <p> </p>
scNCL transfers labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization
<p>Data used in our manuscript.</p> <p>'scNCL_data' folder contains gene expression data (with protein) and gene activitiy data (with protein).</p> <p>'GLUE_data' folder contains gene expression data and raw chromatin accessibility data. </p> <p>'HFA-resampling' folder contains multiple independent sampling of HFA-subset dataset.</p> <p>'Accuray on HFA-subsets.xlsx' file contains accuray results of all compared methods on HFA-subsets datasets.</p>
Dataset for the Figure 2 in manuscript "Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles"
<p>This dataset includes the gathered experimental measurements of a freezing test by Wu (2017) for the model's verification shown in Figure 2 of the manuscript entitled 'Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles'' by Huang, X., and Rudolph, D.L.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.