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29,897 results for “activism”
Structures in pdb format for the paper "Investigating the substrate oxidation mechanism in lytic polysaccharide monooxygenase: H2O2- versus O2-activation"
<p>QM/MM optimized structures for all intermediates and transition states (QM regions and full enzymes).</p>
Slip systems activity and grain boundary sliding investigation in zinc alloy
<p>Data obtained during the investigation of slip system activity and grain boundary sliding in Zn-0.5Cu alloy.</p> <p>Dataset contains RAW and processed EBSD data, SEM images, AFM data, and data analysis results in a form of Origin project data file.</p>
Dataset of a manuscript entitiled "Unraveling the enhancement of oxygen evolution reaction activity by incorporating chromium into nickel hydroxide nanosheets"
<p>Dataset of a manuscript entitiled "Unraveling the enhancement of oxygen evolution reaction activity by incorporating chromium into nickel hydroxide nanosheets"</p> <p>Not yet submitted.</p>
DATASET for the article "Synthesis and Antibacterial Activity of Polymerizable Acryloyloxyalkyltriethyl Ammonium Salts"
<p>The files contains:</p> <p>- A visual description of the experiments performed for the synthesis of a representative polymerizable surfactant (acryloyloxyundecyltriethylammonium bromide, AUTEAB), reported in the paper published in ChemPlusChem 2017, 82, 1235-1244 (in PDF format);</p> <p>- The raw data obtained in the assessment of the biological activity of the polymerizable surfactants synthesized in the paper published in ChemPlusChem 2017, 82, 1235-1244 (in Excel format)</p> <p> </p> <p> </p>
Plasmid sequences for the paper "A FRET based biosensor for measuring Gα13 activation in single cells"
<p>Plasmid sequences for the paper "A FRET based biosensor for measuring Gα13 activation in single cells"</p>
GPS data for 'Low-Latitude Ionospheric Density Irregularities and Associated Scintillations Investigated by Combining COSMIC RO and Ground-Based GPS Observations over a Solar Active Period' by Zhe Yang and Zhizhao Liu
<p>This dataset contains the final derived GPS data reported in the paper 'Low-Latitude Ionospheric Density Irregularities and Associated Scintillations Investigated by Combining COSMIC RO and Ground-Based GPS Observations over a Solar Active Period' by Zhe Yang and Zhizhao Liu.</p>
Table. Effects of sea animal colonization on the coupling between dynamics and activity of soil ammonia-oxidizing bacteria and archaea in maritime Antarctica.
<p> In this study, we chose active seal colony tundra soils (STS), penguin colony soil (PTS) and its adjacent penguin-lacking tundra soils (PLS), tundra marsh soils (MS), and background tundra soils (BS), to investigate the effects of sea animal colonization on the abundance, activity and diversity of AOA and AOB in maritime Antarctica. </p>
Influence of solar activity on penetration of travelling planetary-scale waves from the troposphere into the thermosphere
<p>This dataset contains model output files and examples of scripts for depicting figures related to the article "Influence of solar activity on penetration of travelling planetary-scale waves from the troposphere into the thermosphere" by A.V. Koval, N. M. Gavrilov, A. I. Pogoreltsev, N. O. Shevchuk.</p> <p>Contents:<br> averh.zip - Output data from model simulations averaged over 12 runs with high solar activity;<br> /averh/uvt400_Jan_ogw_volf.dx - Zonal, meridional wind components, temperature (structure corresponds to uvt.ctl);<br> /averh/phi.dx - Geopotential height in gpm;<br> /averh/gh_m1_1.dx, /averh/gh_m2_1.dx - Estimated PSW amplitudes and phases after the longitude-time Fourier transform of the MUAM solutions with the least squares fitting of the geopotential height (zonal wavenumber 1 and 2, respectively)<br> /averh/zw_m1_1.dx, /averh/zw_m2_1.dx, /averh/mw_m1_1.dx, /averh/mw_m2_1.dx, /averh/tp_m1_1.dx, /averh/tp_m2_1.dx - The same but for wind components and temperature, respectively<br> averl.zip - Output data from model simulations averaged over 12 runs with low solar activity; contents are similar to "averh.zip"<br> files *.gs, *.ctl - Examples of the scripts and file descriptions for GRADS system to build figures shown in the manuscript.<br> Additional data including outputs from separate model runs are available from the authors upon request. </p>
CATCH-EyoU: Representation of the EU and Youth Active Citizenship in Educational Contexts: Textbook Analysis: Portugal
<p>This dataset consists of the underlying data of the following scientific paper accepted for publication by the Journal of Social Science Education (<a href="http://www.jsse.org/">http://www.jsse.org/</a>):</p> <p>Piedade, Filipe; Ribeiro, Norberto; Loff, Manuel; Neves, Tiago & Menezes, Isabel (2018). Learning about the European Union in times of crisis: Portuguese textbooks’ normative visions of European citizenship. <em>Journal of Social Science Education</em>.</p> <p>This data has been collected from five Portuguese upper secondary education books, from the disciplines of History and English as a Foreign Language (EFL).</p> <p>In particular, the files constituting this data set contain data that are specifically concerned with those Portuguese textbooks’ contents that are related with the European Union (partial data). These contents were analysed by members of the Portuguese research team and presented in the paper.</p> <p>Additional data is still under analysis by the Portuguese research team and will be made openly available in successive versions of the data set.</p> <p>This data is made available for open access in compliance with H2020 Program regulation, following the guidelines stipulated by the Data Management Plan adopted by the CATCH-EyoU research project.</p>
Changes in School-day Step Counts during a Physical Activity for Lent Intervention: A Cluster Randomized Crossover Trial of the Savior's Sandals
<p>Excel data file of 187 participants in a Physical Activity for Lent program conducted in spring 2017 at 4 Catholic middle schools in San Diego, CA, USA. Includes daily physical activity step counts and questionnaire data for religiosity, physical activity enjoyment, and situational interest motivation.</p>
Networks of Swiss water governance issues. Studying fit between media attention and organizational activity
<p>Anonymized data and R code needed to replicate the analysis presented in the study "Networks of Swiss water governance issues. Studying fit between media attention and organizational activity" to be published in Society & Natural Resources.</p> <p>The study looks at how relations between Swiss water governance issues are portrayed in the media as compared to the way organizations involved in water governance reflect these relations in their activity.</p> <p>This is a paper output of the SNF funded project "Overlapping subsystems". Access to the complete, non-anonymized dataset is restricted.</p> <p>Study doi: tbd</p>
An Empirical Study on the Impact of Refactoring Activities on Evolving Client-Used APIs
<p>Context: Refactoring is recognized as an effective practice to maintain evolving software systems. For software libraries, we study how library developers refactor their Application Programming Interfaces (APIs), especially when it impacts client users by breaking an API of the library. Objective: Our work aims to understand how clients that use a library API are affected by refactoring activities. We target popular libraries that potentially impact more library client users. Method: We distinguish between library APIs based on their client-usage (refereed to as client-used APIs) in order to understand the extent to which API breakages relate to refactorings. Our tool-based approach allows for a large-scale study across eight libraries (i.e., totaling 183 consecutive versions) with around 900 clients projects. Results: We find that library maintainers are less likely to break client-used API classes. Quantitatively, we find that refactoring activities break less than 37% of all client-used APIs. In a more qualitative analysis, we show two documented cases of where non-refactoring API breaking changes are motivated other maintenance issues (i.e., bug fix and new features) and involve more complex refactoring operations. Conclusion: Using our automated approach, we find that library developers are less likely to break APIs and tend to break client-used APIs when addressing these maintenance issues.</p>
Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscle
<p>Supplemental Figure for a study <strong>Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscleи </strong> <a href="https://www.ncbi.nlm.nih.gov/pubmed/30779632#">Am J Physiol Endocrinol Metab.</a> 2019 Feb 19. <strong> </strong> https://www.ncbi.nlm.nih.gov/pubmed/30779632</p>
Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscle
<p>Supplemental Tables for a study <strong>Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscle </strong> <a href="https://www.ncbi.nlm.nih.gov/pubmed/30779632#">Am J Physiol Endocrinol Metab.</a> 2019 Feb 19. <strong> </strong>https://www.ncbi.nlm.nih.gov/pubmed/30779632</p>
Probing the effect of cadence on the estimates of photospheric energy and helicity injections in eruptive active region NOAA AR 11158 – movies of the data series
<p>This dataset contains movies of all photospheric data series used in the article Lumme et al. (2019) “Probing the effect of cadence on the estimates of photospheric energy and helicity injections in eruptive active region NOAA AR 11158”, submitted. Movies track the evolution of several photospheric quantities in the NOAA active region 11158 from the emergence of the active region well beyond the time of the strongest eruptive activity in the region.</p> <p>The tracked quantities include: magnetic, plasma velocity and electric fields, as well as the vertical component of the Poynting vector and the relative helicity flux density. All quantities are given in several spatial and temporal resolutions: the cadences range from 2.25 minutes to 24 hours, and the spatial resolution is either the maximum resolution of the SDO/HMI instrument (0.03 deg in heliographic coordinates, 364 km on the Sun) or 15 times lower (0.45 deg, 5470 km). Since Lumme et al. (2019) employs three electric field inversion methods, PDFI, raw DAVE4VM and inductive DAVE4VM methods, there are three versions of the electric field maps as well as the derivative quantities Poynting and helicity fluxes for each cadence and spatial resolution.</p> <p>All series, except for the magnetic field and LOS plasma velocity series, are plotted only at the central strong field parts of the active region. The temporal extent of the series used in the paper is Feb 10 14:00 – Feb 17 00:00, 2011. However, some of the movies span only the the most interesting part of the evolution Feb 13 00:00 onward, after which the active region started to exhibit strong flux emergence and energy and helicity fluxes.</p> <p>All movie files in the dataset are given using the following naming convention: “{quantity}_{method}_{cadence}_{res_info}.avi”, where “quantity” specifies the plotted quantity (e.g. horizontal electric field “Eh”), “method” specifies the method used to derive the quantity (e.g., “PDFI” for electric field; if empty, no method is specified), “cadence” specifies the cadence of the data either in minutes or hours (e.g. “2.25_min” or “12_h”), and “res_info” specifies the spatial resolution (if empty then, the data is given in full resolution, otherwise “res_info” is “rebin_15x” corresponding to the 15 lower spatial resolution).</p> <p> Movies of the following data series are included for all cadences and spatial resolutions.:<br> - All three components of the photospheric magnetic field “(Bx,By,Bz)” in a Cartesian basis where the solar surface is approximated flat via Mercator projection, as well as the vertical component of the magnetic field “Bz” and the LOS component of the plasma velocity “Vlos” (i.e. Dopplergram velocity) in the same system (note that the unlike in the usual convention, the LOS plasma velocity is negative for motions away from the observer). These data series are given only for two cadences 2.25- and 12-minutes in full spatial resolution, since rest of the cadences are created by sampling the 2.25-minute data. Data in the 15 times lower spatial resolution are given only at a cadence of 2.025 hours, as it is the highest cadence for which the 15 times lower resolution was used (see Lumme et al., 2019 for details).<br> - Horizontal photospheric plasma velocity "Vh = (Vx,Vy)" estimates derived using two optical flow methods FLCT (Fourier Local Correlation Tracking) and DAVE4VM (Differential Affine Velocity Estimator For Vector Magnetograms) plotted as arrows above the Bz component of the magnetic field.<br> - Horizontal photospheric electric field “Eh = (Ex,Ey)” estimates derived using three methods, PDFI, raw DAVE4VM and the inductive DAVE4VM method, plotted as arrows above the Bz component of the magnetic field.<br> - Vertical component of the Poynting vector “Sz” derived for each electric field estimate.<br> - Photospheric relative helicity flux density (denoted by “dHR/dt”) derived for each electric field estimate.</p> <p>January 16, 2019<br> Erkka Lumme<br> Doctoral student, MSc<br> Department of Physics<br> erkka.lumme@helsinki.fi<br> P.O. Box 68<br> FI-00014 University of Helsinki</p>
Mayorov et al - Scripts and tables with psychoprot descriptor information for active and "non-active" sites
<p>These are the scripts used in our work; and the tables from Jack et al PLoS Biol 2016 extended with descriptor information from psychoprot fits for active and "non-active" sites.</p>
Influence of thermospheric impacts of solar activity on the general circulation and long-period planetary waves in the middle atmosphere
<p>This dataset contains model output files and examples of scripts for depicting figures related to the article "Influence of thermospheric impacts of solar activity on the general circulation and long-period planetary waves in the middle atmosphere " by A.V. Koval, N. M. Gavrilov, A. I. Pogoreltsev, N. O. Shevchuk.</p> <p><br> Contents:<br> Output data from model simulations averaged over 16 pairs of model runs with high and low solar activity:</p> <p><br> gh_m1_hsa5.dx, gh_m1_lsa5.dx – amplitudes of the geopotential height variations in g.p.m. at high and low solar activity caused by long-period PW modes with zonal wavenumber 1 averaged over 80 time subintervals selected from pairs of the MUAM runs (structure described in w1_tp1_hsa.ctl, w1_tp1_lsa.ctl).<br> gh_m2_hsa5.dx, gh_m2_lsa5.dx, gh_m3_hsa5.dx, gh_m3_lsa5.dx, gh_m4_hsa5.dx, gh_m4_lsa5.dx – the same but for zonal wavenumbers 2,3,4.<br> gh_m1_disp_dif5.dx – dispersion of differences in corresponding wave amplitudes between high and low solar activitiy (w1_tp1_disp.ctl).<br> gh_m2_disp_dif5.dx, gh_m3_disp_dif5.dx, gh_m4_disp_dif5.dx – the same but for zonal wavenumbers 2,3,4.<br> index_refr1_1_5.dx, index_refr1_2_5.dx, index_refr1_3_5.dx, index_refr1_4_5.dx – the zonal-mean quasi-geostrophic complex refractivity index squared (RI2) for PW modes with zonal wavenumbers 1-4 (ind_refr1_1.ctl).<br> uq_vwres1_pv_Jan_1_5.dx, uq_vwres1_pv_Jan_2_5.dx, uq_vwres1_pv_Jan_3_5.dx, uq_vwres1_pv_Jan_4_5.dx – the Eliassen-Palm flux for PW modes with zonal wavenumbers 1-4 (uqep1_vwres_1.ctl).<br> zw_a0_grads5_hsa.dx, tp_a0_grads5_hsa.dx – zonal-mean zonal wind in m/s and temperature in K for December – February averaged over 16-member ensemble of model runs for high solar activity (m0_zw5_hsa.ctl, m0_tp5_hsa.ctl).<br> zw_a0_grads5_lsa.dx, tp_a0_grads5_lsa.dx – the same but for the low solar activity<br> disp_U_dif5_.dx, disp_T_dif5_.dx – dispersion of differences in zonal wind and temperature between high and low solar activitiy for December – February averaged over 16-member ensemble of model runs (tp1_disp.ctl).<br> Additional data including outputs from separate model runs are available from the authors upon request.</p>
Separation of memory span and learning rate: evidence from behavior and spontaneous brain activity in older adults
<p>The data file includes two small files. The first file is Behavioral data. The second file is fMRI data. </p>
Iterative Arylation of Amino Acids and Aliphatic Amines via δ‐C(sp3)−H Activation: Experimental and Computational Exploration
<p>This dataset contains the geometries of all optimized structures (in <em>.xyz</em> format with their associated energy in Hartrees) accompanying the paper "Iterative Arylation of Amino Acids and Aliphatic Amines via δ‐C(sp3)−H Activation: Experimental and Computational Exploration" published in Angew. Chem. Int. Ed.. doi:<a href="https://doi.org/10.1002/anie.201900479">10.1002/anie.201900479</a> on 28 Feb 2019.</p>
Benchmark and integration of resources for the estimation of human transcription factor activities
<p>Data used to benchmark human TF-target datasets via TF activities in 3 benchmark datasets. Described in <a href="https://www.biorxiv.org/content/biorxiv/early/2018/06/18/337915.full.pdf">Garcia-Alonso et al 2019</a></p> <p>Check <a href="https://github.com/saezlab/TFbenchmark">https://github.com/saezlab/TFbenchmark</a> to access the corresponding code.</p> <p> </p> <p> </p> <p><strong>Study abstract</strong></p> <p>Prediction of transcription factor (TF) activities from the gene expression of their targets (i.e. TF regulon) is becoming a widely-used approach to characterize the functional status of transcriptional regulatory circuits. Several strategies and datasets have been proposed to link the target genes likely regulated by a TF, each one providing a different level of evidence. The most established ones are: (i) manually curated repositories, (ii) interactions derived from ChIP-seq binding data, (iii) <em>in silico</em> prediction of TF binding on gene promoters, and (iv) reverse-engineered regulons from large gene expression datasets. However, it is not known how these different sources of regulons affect the TF activity estimations, and thereby downstream analysis and interpretation. Here we compared the accuracy and biases of these strategies to define human TF regulons by means of their ability to predict changes in TF activities in three reference benchmark datasets. We assembled a collection of TF-target interactions among 1,541 TFs and evaluated how the different molecular and regulatory properties of the TFs, such as the DNA-binding domain, specificities or mode of interaction with the chromatin, affect the predictions of TF activity changes. We assessed their coverage and found little overlap on the regulons derived from each strategy and better performance by literature-curated information followed by ChIP-seq data. We provide an integrated resource of all TF-target interactions derived through these strategies with a confidence score, as a resource for enhanced prediction of TF activities.</p>
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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.