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29,897 results for “activism”
Data: "Nonequilibrium hyperuniform states in active turbulence"
<p>Code and data for "Nonequilibrium hyperuniform states in active turbulence"<br>Rainer Backofen (Technische Universität Dresden) et al.</p> <p>doi: 10.1073/pnas.2320719121</p>
United States-Physical Education and Physical Activity Policy Energy Expenditure Calculations by State (K-12)
<p>Represents formulas and calculations of energy expenditure (kcal) in PE for grades K-12 based on teacher-reported lesson frequency and duration across 50 states and the District of Columbia.</p>
3D chromatin structures associated with ncRNA roX2 for hyperactivation and co-activation across the entire X chromosome
<p>The SMLM datasets of roX2 and roX2/H3K27me3.</p>
Computational Screening of Metalloporphyrins for CO2 Activation
<p><span>Electrocatalytic CO<sub>2</sub> reduction (eCO<sub>2</sub>R) to value-added chemicals offers a promising route for carbon capture and utilization. Metalloporphyrin (M-POR) is a class of catalysts for eCO<sub>2</sub>R that has drawn attention due to its tuneable electronic and structural properties. This work presents a computational screening, based on density functional theory calculations, of one of the key steps in the eCO<sub>2</sub>R: the adsorption of CO<sub>2</sub> on 110 M-PORs with varying peripheral ligands, metal centres, and oxidation states, to understand how these factors can influence CO<sub>2</sub> activation. A set of criteria was used to shortlist M-PORs that activate CO<sub>2</sub> based on their ability to lengthen the C–O bond, bend the O–C–O angle, bind CO<sub>2</sub>, and donate charge from the metal centre of the M-POR to the carbon centre of CO<sub>2</sub>. Based on defined criteria, such as binding energy, C–O bond elongation, O–C–O bending, and charge transfer, 16 systems were selected for their potential to activate CO<sub>2</sub>. These systems predominantly have the electron configuration of the metal centre in the d<sup>6</sup> and d<sup>7</sup> configurations. These systems primarily have the electron configuration of the metal centre in d<sup>6</sup> and d<sup>7</sup> configurations. Natural Bond Orbital analysis revealed the impact of electron-withdrawing groups in the system, which increases orbital splitting and, consequently, lowers the ability of the M-POR to activate CO<sub>2</sub>. Second-order perturbation theory analysis confirms that the presence of electron-donating groups in the ligand structure enhances CO<sub>2</sub> activation. This work demonstrates the interconnected effect of peripheral ligands, metal centers, and oxidation states in M-PORs on their ability to adsorb and activate CO2, thereby establishing structure-activity relationships within M-PORs.</span></p>
Synthetic Activity Dataset
<p>Synthetic activity dataset representing daily living of elderly people in a nursery home. The dataset represents the location in a room-level (i.e room, gym, therapy room, terrace,...) from each person along the time</p>
DiverReef: The global repository of divers' and snorkelers' behavior during tourism activities and their interactions with reef environments over 20 years
<p>The DiverReef database provides the first public dataset on the underwater behavior of recreational divers and snorkellers in shallow reef environments (< 25 m depth) globally and their interactions with the reef seascape and/or reef benthic sessile organisms. The dataset comprises 19 years of data (2004-2023) by observing the behavior of 2312 recreational divers and snorkelers in 9 countries at 19 diving destinations and 176 diving sites. The data were collected through on-site observation of divers' behavior during tourism activities and their physical interactions with the reef structure and/or benthic reef sessile organisms. Observers discretely followed divers and recorded their behavior and interactions with the reef over set time periods. Interactions were described as "contact" and "damage", the latter refers to when physical damage to a benthic organism or the reef structure was observed. Besides behavior, observers also recorded data on the type of diving activity (scuba or snorkeling), profiles of the divers (gender and experience), use of cameras by the divers, visibility, type of reef formation and marine protection status of the dive site. This is the external repository where the DiverReef database is archived. This database has an attribution-share alike (CC BY-SA 4.0 Deed) copyright restriction. When using this database, the original paper in the Ecology journal (include DOI when available) must be cited.</p>
LCI data SIMBA active materials
<p><em><span>Inventory data for the production of the active materials (HC, PW and its precursor). These datasets are based on open access literature sources indicated in the Excel sheet.</span></em></p> <p><em><a href="https://simba-h2020.eu/">Homepage - SIMBA (simba-h2020.eu)</a></em></p>
Cytotoxic activity of betulinic acid and ursolic acid againts T47D breast cancer cells
<p><em><span>Uncaria nervosa</span></em><span> Elmer is an Indonesian herbal plant that is traditionally used for breast cancer. The results of phytochemical screening contained alkaloids, flavonoids, and terpenoids in the ethanol extract of this plant. Based on literature searches, reports regarding the bioactive compounds responsible for breast cancer have not been found. </span><span>This study aims to determine the metabolite profiling of ethanol extract, the isolation, characterization of bioactive compounds, and their bioactivity in T47D breast cancer cells. The ethanol extract of <em>Uncaria nervosa</em> Elmer leaves contains nine compounds consisting of alkaloids, terpenoids, and fatty acid. The bioactive compounds that were successfully isolated were betulinic acid, and ursolic acid, with IC50 values of ˃100 and 14,70±4,50 µg/ml, respectively.</span></p>
Dataset from "An effective Active Self-Correction in standing without external aids is possible in Adolescents with Idiopathic Scoliosis: a Cross-Sectional Study"
<p>Dataset from a still not published paper titled "An effective Active Self-Correction in standing without external aids is possible in Adolescents with Idiopathic Scoliosis: a Cross-Sectional Study"</p>
IR data for the compounds published in "Dioxygen Activation by a Bioinspired Tungsten(IV) Complex"
Open the record for dataset details and reuse information.
IR data of the compounds published in "Replacement of Molybdenum by Tungsten in a Biomimetic Complex Leads to an Increase in Oxygen Atom Transfer Catalytic Activity"
Open the record for dataset details and reuse information.
Effects of M-components on needle activity in positive cloud-to-ground lightning flashes
<p>The data supports the manuscript entitled “Effects of M-components on needle activity in positive cloud-to-ground lightning flashes”. The high-speed video data files of the positive cloud-to-ground lightning lighnting (F20064 and F20065) of *.avi can be opened by Photron Camera Control software (Photron Fastcam Viewer) that can be download from this link: https://photron.com/photron-support/</p> <p>In addition, MATLAB can open the *.mat file (electric field change data), and Microsoft Excel can open the *.xlsx file (Guangdong-Hong Kong-Macao Lightning Location data (F20064 & F20065).</p> <p>The data can be used freely for scientific purposes with the appropriate citation.</p>
Dataset: Active learning streamlines development of high performance catalysts for higher alcohol synthesis
<p>In this repository there are five Excel files, three Jupyter notebook files, and a zip archive containing Origin files. </p> <p>The Full_catalytic_performance_data.xlsx file comprises all the experimental and computational catalytic data complied as a part of the research work titled "Active learning streamlines development of high performance catalysts for higher alcohol synthesis" carried out at the Advanced Catalysis Engineering group, ETHZ. The Source_data.xlsx file and .opju files contain the raw data used to create the display items in the manuscript.</p> <p>The repository contains three additional files "Modelling_Data_Phase_1.xlsx", "Modelling_Data_Phase_2.xlsx", "Modelling_Data_Phase_3.xlsx" which contain the curated data to run the Gaussian process -Bayesian Optimization algrotihm across three specific active learning Phases devised in this study. The python codes necessary to run the model are provided as Jupyter Notebook (.ipynb) files and are also available on GitHub in the link provided below.</p>
Replication of manuscript entitled "Tropical eastern Pacific cooling trend reinforced by human activity"
<p>NCAR Command Language (NCL) codes and data for replicating main figures in a manuscript published in npj Climate and Atmospheric Science</p>
Stronger thermal response of viral life strategy and lytic activity in a fringing coral reef than in oligotrophic oceans
<p>data_Stronger thermal response of viral life strategy and lytic activity in a fringing coral reef than in oligotrophic oceans</p>
Raw data for: Simulation of neurotrophin receptor transmembrane helix interactions reveals active states and distinct signaling mechanisms
<p>This repository contains raw data and code related to "Simulation of neurotrophin receptor transmembrane helix interactions reveals active states and distinct signaling mechanisms" by Athanasiou et al.</p> <p>Included are molecular dynamics parameter files, initial structures and structures shown in the figures of the manuscript.</p> <p> </p> <p>Contact information:</p> <p>Name: Rebecca C. Wade<br>Institution: Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS); Heidelberg, Germany<br>Email: Rebecca.wade@h-its.org</p> <p> </p> <p>This research was funded by the European Union’s Horizon 2020 research and innovation programme “Euroneurotrophin” under the Marie Skłodowska-Curie grant agreement No 765704 and the Klaus Tschira Foundation. </p>
IoT Sensor based Sports Activity Monitoring using Skill Inheritance and Optimization based on AI
Open the record for dataset details and reuse information.
How did COVID-19 Impact Software Design Activities in Global Software Engineering — Systematic Review
<p>This dataset is part of research publication <a href="https://doi.org/10.1142/S0218194024500098" target="_blank" rel="noopener">How did COVID-19 Impact Software Design Activities in Global Software Engineering — Systematic Review</a> published in <em>International Journal of Software Engineering and Knowledge Engineering</em>. This study systematically analyzes the evolution of research emphasis in the field of Global Software Engineering (GSE), particularly focusing on the software design phase during the COVID-19 pandemic.</p> <h3>Key contribution</h3> <ol> <li>Systematic analysis of GSE research <ul> <li>Phase 1 - Mapped GSE research over the two decades leading to the pandemic (2000–2020)</li> <li>Phase 2 - Used the forward snowballing approach to examine literature on the software design phase published between 2020 and 2022.</li> </ul> </li> <li>Analyzed trends in GSE research through 592 research studies across both phases.</li> </ol> <h3>Dataset content</h3> <p>The dataset consis of following files:</p> <ol> <li>Readme file - Overview and instructions for the dataset.</li> <li>Search string and snowballing - Contains the search strings used in the first phase and details of the forward snowballing approach used in the second phase.</li> <li>Data extraction template and Inclusion/exclusion criteria - Includes the template for organizing key features of papers relevant to the research questions and lists the inclusion and exclusion criteria applied.</li> <li>Screening process - Describes the three-level screening process applied in both phases (title, abstract, full text). A separate tab analyzes primary studies used in the second phase.</li> <li>RQs analysis - Provides detailed analysis of research questions (RQs) from the final set of 592 papers.</li> </ol>
GIMMS FPAR4g, a global dataset of the fraction of absorbed photosynthetically active radiation for 1982—2022
<p><span>The fourth generation of the GIMMS FPAR dataset (GIMMS FPAR4g, version 1.0) offers a temporal resolution of half a month and a spatial resolution of 1/12<span>°</span>, spanning from 1982 to 2022. It was developed based on the PKU GIMMS NDVI that eliminates the orbital drift and sensor degradation issues and high-quality Sensor-Independent FPAR using a combination of a machine learning algorithm and a pixel-wise multi-sensor records integration approach. We have created a separate file in GeoTIFF format for each scene. There are 24 scenes for each year, each of which represents FPAR for half a month. Each scene is associated with a quality control layer inherited from PKU GIMMS NDVI (version: solely). Additionally, we provide global images showcasing the correlation coefficient and RMSE of the pixel-wise regression models for data users. The FPAR4g solely dataset (1982—2015) which has not been calibrated with SI FPAR is also stored in the same repository. It is strongly recommended that users of the GIMMS FPAR4g product read the Readme file before use to ensure proper handling of the fill values and QC flags within the dataset.</span></p>
Exploring the Molecular Pathways of the Activation Process on PPARγ Recurrent Bladder Cancer Mutants
<p>The intricate involvement of Peroxisome Proliferator-Activated Receptor Gamma (PPARγ) in vital processes such as glucose homeostasis and adipogenesis is well established. However, its multifaceted role in cancer, particularly in luminal bladder cancer, remains a subject of intense debate. In this context, PPARγ’s overexpression and activation have been implicated in tumorigenesis. Notably, specific gain-of-function mutations (M280I, I290M, and T475M) within PPARγ’s ligand-binding domain have been pinpointed in bladder cancer, correlating with receptor activation. Nonetheless, the underlying molecular pathways prompted by these mutations remain obscure. Here, we employed a dual-basin structure-based model (db SBM) to unveil the intricate conformational dynamics that underlie the transition between PPARγ’s inactive and active states. Additionally, we explored the effects of the M280I, I290M, and T475M mutations on this pivotal process. Our findings concur with existing literature, revealing heightened ligand-independent transcriptional activity in the I290M and T475M mutants compared to other variants. Importantly, both mutants displayed enhanced stabilization of the active state relative to the wild-type receptor, and the I290M mutation promoted a remarkably specific transition route, rendering it a prime candidate for further investigation. Electrostatic analysis pinpointed the pivotal role of residues K303 and E488 in the activation cascade of I290M. This insight was substantiated by biophysical assays, as disruption of the K303-E488 interaction curtailed the thermal stabilization characteristic of the I290M mutation. These findings designate K303 and E488 as potential targets for inhibitors aimed at modulating PPARγ activation, with promising implications for refining bladder cancer prognosis. In sum, our study highlights the remarkable predictive capabilities achieved through the integration of simulation and cheminformatics methods, validated by biochemical experiments, to gain deeper insights into molecular mechanisms of activation and identify target residues for protein modulation.</p>
ScienceDex guides
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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.