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68 results for “IMPS”
IMP_Data_WP3_T3.2_Climate_change_adaptation_indicators_V1
<p>The dataset contains a list of indicators, their description and the references used to get them for climate change adaptation monitoring</p>
IMP_Data_WP3_T3.2_Climate_change_vulnerability_indicators_V1
<p>The dataset contains a list of indicators, their description and the references used to get them for climate change vulnerability monitoring</p>
Research data on IMVS / IMPS Higher harmonics of the Si Photodioed / TiO2 nanotubes
<p>The following dataset contains research data that is the basis of research article:</p><p>"Higher harmonics of the Intensity Modulated Photocurrent/Photovoltage Spectroscopy Response - a Tool for studying Photoelectrochemical Nonlinearities"</p><p>Contensts of the package are the following:</p><p>a) Experimental results of the IMVS for the photodiode (2-electrode system)</p><ol><li>OCP vs. power density relations [2 files]</li><li>Higher harmonic spectra for varying AC components 10,20,30,40 and 50 % (DC component fixed at 50% = 2 mW) [25 files]</li></ol><p>b) Experimental results of the IMPS for the TiO2 nanotubes (3-electrode system)</p><ol><li>Photocurrent vs. power density relation for polarization potentials 200mV, 400mV, 600mV, 800mV, 1000mV [2 files]</li><li>Higher harmonic spectra for varying AC components 10,20,30,40 and 50% at +1000 mV polarization (DC component fixed at 50% = 2 mW) [20 files]</li><li>Higher harmonic spectra for varying polarization potential 200mV, 400mV, 600mV, 800mV (AC and DC components fixed at 50% and 50%) [31 files]</li></ol>
Fig.ç3.D isasterina akajimaensis sp. nov., holotype (NSMT E-6758). A, Anal pore and a patch; B, madreporite; C, proximal part of arm, abactinal view; D, oral plate pair and interradial uncalci ed area, some oral spines have been lost (see also Fig. 6 for oral plate pair and interradial uncalci ed area at another interradius); E, proximal part of ambulacral furrow (oral plates seen at the lower-le corner are drawn in Fig. 6); F, inferomarginal spinelets, abactinal view. Abbreviations: als, actinolateral spine; apo, anal pore; fs, furrow spine; imp, inferomarginal plate; ims, inferomarginal spine; ir, interradial; iua, interradial uncalci ed area; md, madreporite; op, oral plate; os, oral spine; r, radial; rp, rigid patch; sas, subambulacral spine. in A New Asterinid Sea Star, Disasterina akajimaensis (Echinodermata: Asteroidea) from the Ryukyu Islands, Japan, with Notes on the Genus Disasterina
Fig.ç3.D isasterina akajimaensis sp. nov., holotype (NSMT E-6758). A, Anal pore and a patch; B, madreporite; C, proximal part of arm, abactinal view; D, oral plate pair and interradial uncalci ed area, some oral spines have been lost (see also Fig. 6 for oral plate pair and interradial uncalci ed area at another interradius); E, proximal part of ambulacral furrow (oral plates seen at the lower-le corner are drawn in Fig. 6); F, inferomarginal spinelets, abactinal view. Abbreviations: als, actinolateral spine; apo, anal pore; fs, furrow spine; imp, inferomarginal plate; ims, inferomarginal spine; ir, interradial; iua, interradial uncalci ed area; md, madreporite; op, oral plate; os, oral spine; r, radial; rp, rigid patch; sas, subambulacral spine.
IMP HTML reports (preprint)
<p>ZIP file contains the HTML files which are referred to as the "Additional file 1" in the IMP manuscript.<br> </p>
IMP test data set
<p>This file contains the test data set used within the article:</p> <p><strong>IMP: a reproducible pipeline for reference-independent integrated metagenomic and metatranscriptomic analyses</strong></p> <p>Shaman Narayanasamy<sup>†</sup>, Yohan Jarosz<sup>†</sup>, Emilie E.L. Muller, Cédric C. Laczny, Malte Herold, Anne Kaysen, Anna Heintz-Buschart, Nicolás Pinel, Patrick May, and Paul Wilmes<sup>*</sup></p> <p>Preprint: http://biorxiv.org/content/early/2016/02/10/039263</p> <p>This test data set was used for benchmarking the run times of IMP. They are derived by selecting the first 5% of reads from a wastewater sludge microbial community dataset (see manuscript). Also included are the respective preprocessed FASTQ files such that IMP can be tested without running the preprocessing step. A README file inside the folder briefly describes the different FASTQ files contained in the folder.</p>
IMP small scale test dataset
<p>This file contains the test data set used within the article:</p> <p><strong>IMP: a reproducible pipeline for reference-independent integrated metagenomic and metatranscriptomic analyses</strong></p> <p>Shaman Narayanasamy<sup>†</sup>, Yohan Jarosz<sup>†</sup>, Emilie E.L. Muller, Cédric C. Laczny, Malte Herold, Anne Kaysen, Anna Heintz-Buschart, Nicolás Pinel, Patrick May, and Paul Wilmes<sup>*</sup></p> <p>Preprint: http://biorxiv.org/content/early/2016/02/10/039263</p> <p> </p> <p>This test data set was used for benchmarking the run times of IMP. They are derived by selecting the first 5% of reads from a wastewater sludge microbial community dataset (see manuscript and original publication of data: 10.1038/ncomms6603). Also included are the respective preprocessed FASTQ files such that IMP can be tested without running the preprocessing step. A README file inside the folder briefly describes the different FASTQ files contained in the folder.</p>
IMP simulated mock community data set
<p>This file contains the simulated mock (SM) metagenomic and metatranscriptomic dataset along with the original genomes used for simulation used within the article:</p> <p><strong>IMP: a reproducible pipeline for reference-independent integrated metagenomic and metatranscriptomic analyses</strong></p> <p>Shaman Narayanasamy<sup>†</sup>, Yohan Jarosz<sup>†</sup>, Emilie E.L. Muller, Cédric C. Laczny, Malte Herold, Anne Kaysen, Anna Heintz-Buschart, Nicolás Pinel, Patrick May, and Paul Wilmes<sup>*</sup></p> <p>Preprint: http://biorxiv.org/content/early/2016/02/10/039263</p> <p>The folder contains two subfolders (MG and MT), each containing the simulated metagenomic (MG) data and simulated metatranscriptomic (MT) data respectively. The files within these folders are in FASTQ format. The methods for generating these simulated data sets are described in the article.<br> </p> <p>The genomes and the resulting simulated metatranscriptomic data was generated and analysed within the article:</p> <p><strong>Comparison of assembly algorithms for improving rate of metatranscriptomic functional annotation</strong></p> <p>Albi Celaj, Janet Markle, Jayne Danska and John Parkinson; 2014; doi:10.1186/2049-2618-2-39</p> <p> </p> <p>It was provided upon request by the first author Albi Celaj, with permission to share the data. Please cite the aforementioned publication if this simulated metatranscriptomic data is used data is used.</p>
IMP HTML reports
<p>This file contains all the HTML reports generated by IMP for the analysis of datasets reported in the article.</p>
IMP 1.0 Filtered Human Functional Network
<p>This is the filtered human functional network from the IMP webserver. It was downloaded from http://imp.princeton.edu/download/.</p>
NMR dataset for metallo-B-lactamase IMP-1
<p>NMR dataset to support publication: Localising individual atoms of tryptophan side chains in the metallo-B-lactamase IMP-1 by pseudocontact shifts from paramagnetic lanthanoid tags at multiple sites</p> <p>NMR data are in Bruker format and pulse programs are contained within each dataset with the name "pulprog"</p> <p>Table of contents</p> <p>Experiment number Experiment</p> <p>1 IMP1 A53C with C2-Y tag (figure S3-a)<br> 2 IMP1 A53C with C2-Tb tag (figure S3-a)<br> 3 IMP1 A53C with C2-Tm tag (figure S3-a)<br> 4 captopril bound IMP1 A53C with C2-Y tag (figure S4-a)<br> 5 captopril bound IMP1 A53C with C2-Tb tag (figure S4-a)<br> 6 captopril bound IMP1 A53C with C2-Tm tag (figure S4-a)<br> 7 IMP1 N172C with C2-Y tag (figure S3-b)<br> 8 IMP1 N172C with C2-Tb tag (figure S3-b)<br> 9 IMP1 N172C with C2-Tm tag (figure S3-b)<br> 10 captopril bound IMP1 N172C with C2-Y tag (figure S4-b)<br> 11 captopril bound IMP1 N172C with C2-Tb tag (figure S4-b)<br> 12 captopril bound IMP1 N172C with C2-Tm tag (figure S4-b)<br> 13 IMP1 S204C with C2-Y tag (figure S3-c)<br> 14 IMP1 S204C with C2-Tb tag (figure S3-c)<br> 15 IMP1 S204C with C2-Tm tag (figure S3-c) <br> 16 captopril bound IMP1 S204C with C2-Y tag (figure S4-c)<br> 17 captopril bound IMP1 S204C with C2-Tb tag (figure S4-c)<br> 18 captopril bound IMP1 S204C with C2-Tm tag (figure S4-c)<br> 19 IMP1 N172C with C2-Y tag (figure 2-B)<br> 20 IMP1 N172C with C2-Tb tag (figure 2-E)<br> 21 IMP1 S204C with C2-Y tag (figure 2-F) <br> 22 IMP1 N172C with C2-Y tag (figure 2-E)<br> 23 IMP1 N172C with C12-Y tag (figure S5-a)<br> 24 IMP1 N172C with C12-Tb tag (figure S5-a)<br> 25 IMP1 N172C with C12-Tm tag (figure S5-a)<br> 26 captopril bound IMP1 N172C with C12-Y tag (figure S5-b)<br> 27 captopril bound IMP1 N172C with C12-Tb tag (figure S5-b)<br> 28 captopril bound IMP1 N172C with C12-Tm tag (figure S5-b)</p>
IMP-MARL dataset
<p>IMP-MARL dataset</p> <p>Authors: Pascal Leroy (pleroy@uliege.be), Pablo G. Morato (pgmdo@dtu.dk), Jonathan Pisane, Athanasios Kolios, Damien Ernst</p> <p>GitHub repository: <a href="https://github.com/moratodpg/imp_marl">https://github.com/moratodpg/imp_marl</a></p> <p>IMP-MARL environments:<br> struct_uc: k-out-of-n system<br> 2-out-of-3, 4-out-of-5, 9-out-of-10, 48-out-of-50, 95-out-of-100<br> (with and without campaign cost)<br> struct_c: correlated k-out-of-n system<br> 2-out-of-3, 4-out-of-5, 9-out-of-10, 48-out-of-50, 95-out-of-100<br> (with and without campaign cost)<br> owf: offshore wind farm<br> 1 wind turbine, 2 wind turbines, 5 wind turbines, 25 wind turbines, 50 wind turbines<br> (with and without campaign cost)</p> <p>MARL methods investigated: QMIX, QVMIX, QPLEX, COMA, FACMAC, IQL, DQN.</p> <p>This dataset contains:<br> MARL logs.zip => The configuration, execution, and result files of all investigated MARL methods.<br> Each zip file contains the logs from an IMP-MARL environment.<br> There, test and train files are stored for each method:<br> cout.txt contains stored console ouputs.<br> config.json contains the list of all parameter values for the experiments.<br> info.json is the log file, listing reward values, for example.<br> run.json contains simply logged information about the host, typically hardware.<br> best_agent_networks.zip =>The controller networks’ weights of the best MARL-based policies. <br> Controller files are stored as a pytorch file for each method/environment investigated (agent.th).<br> heur_logs.zip => The configuration, execution, and result files of the computed expert-based heuristic policies. <br> /heur_search => logs resulting from all evaluated heuristic policies, stored as numpy files.<br> /heur_search => results from the best performing heuristics over 10,000 policy realisations, stored as pickle files.</p>
Catalogue of lunar irregular mare patches (IMPs)
<p><strong>This page archives data used in the following article:</strong></p> <p><strong>Qiao, L., Head, J. W., Ling, Z., & Wilson, L. (2020). Lunar irregular mare patches: Classification, characteristics, geologic settings, updated catalog, origin, and outstanding questions. <em>Journal of Geophysical Research: Planets</em>, 125, e2019JE006362. <a href="https://doi.org/10.1029/2019JE006362" target="_blank" rel="noopener">https://doi.org/10.1029/2019JE006362</a></strong></p> <p><strong>It contains the catalogue of 91 lunar IMPs and measurements of the slopes of the various surface textures at several representative lunar IMPs.</strong></p>
IMP HTML reports
<p>ZIP file contains the HTML files which are referred to as the "Additional file 1" in the manuscript.</p>
IMPS: Interactive Musical Prediction System: Demo Video
<p>IMPS is a system for predicting musical control data in live performance. It uses a mixture density recurrent neural network (MDRNN) to observe control inputs over multiple time steps, predicting the next value of each step, and the time that expects the next value to occur. It provides an input and output interface over OSC and can work with musical interfaces with any number of real-valued inputs (we’ve tried from 1-8). Several interactive paradigms are supported for call-response improvisation, as well as independent operation, and “filtering” of the performer’s input. Whenever you use IMPS, your input data is logged to build up a training corpus and a script is provided to train new versions of your model.</p> <p>This video shows some demo musical interface designs with the IMPS controller.</p>
Investigator Initiated Trial to Evaluate Efficacy and Safety of LAENNEC (Human Placenta Hydrolysate) Administered by Ultrasonography Guided Subacromial Bursa Injection in Patients With Shoulder Imping
ClinicalTrials.gov study NCT05528705. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Monosodium L-Glutamate (MSG) and Nucleic Acid (IMP) on Satiety and Food Intake
ClinicalTrials.gov study NCT01761045. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Clinical Study to Evaluate the Efficacy and Safety of MIN-102 (IMP) in Male AMN Patients.
ClinicalTrials.gov study NCT03231878. IPD Sharing: Not stated. Countries: 8. Publications: 1.
Supplementary material 2 from: Dupont S, Price B, Blagoderov V (2015) IMp: The customizable LEGO® Pinned Insect Manipulator. ZooKeys 481: 131-138. https://doi.org/10.3897/zookeys.481.8788
Video demontration:
Supplementary material 1 from: Dupont S, Price B, Blagoderov V (2015) IMp: The customizable LEGO® Pinned Insect Manipulator. ZooKeys 481: 131-138. https://doi.org/10.3897/zookeys.481.8788
Annotated building instructions: Explanation note: Assembly manual for all IMp models.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.