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29,897 results for “activism”
Data from Evaluating the impact of climate communication activities by scientists: what is known and necessary?
<p>This dataset contains three text files in RIS format and two pdf files. They represent the analysis for "Evaluating the impact of climate communication activities by scientists: what is known and necessary?" (https://doi.org/10.5194/gc-7-91-2024). </p> <p>There are three stages</p> <ol> <li>The initial search: <ul> <li> <p>The <em>Literature search PE on CC.pdf</em> file provides the initial search terms</p> </li> <li> <p>The <em>Search PE on CC 'Outreach added'.pdf</em> file expands that initial search to include outreach</p> </li> <li>The <em>Initial search (outreach included).ris</em> file contains references to all 819 articles included in the initial search</li> </ul> </li> <li>Excluded first round (based on title and abstract) <ul> <li>The <em>Excluded first round.ris</em> file contains references to all 755 articles excluded in the first round</li> </ul> </li> <li>Included papers <ul> <li>The <em>Included papers.ris </em>file contains references to all 7 articles that were included in the final analysis</li> </ul> </li> </ol>
DAGHAR: A Benchmark for Domain Adaptation and Generalization in Smartphone-Based Human Activity Recognition
<p>DAGHAR benchmark is a curated dataset collection designed for domain adaptation and domain generalization studies in HAR tasks, using inertial sensors such as accelerometers and gyroscopes, from "A benchmark for domain adaptation and generalization in smartphone-based human activity recognition" work. It features raw inertial sensor data sourced exclusively from smartphones. Six public datasets were selected and standardized in terms of accelerometer units of measurement, sampling rate, gravity component, activity labels, user partitioning, and time window size. This standardization process allows for creating a comprehensive benchmark for evaluating the generalization capabilities of HAR models in cross-dataset scenarios.</p> <p>The benchmark is based on the following datasets:</p> <ul> <li><strong>Ku-HAR</strong>, from "Sikder, N. and Nahid, A.A., 2021. KU-HAR: An open dataset for heterogeneous human activity recognition. Pattern Recognition Letters, 146, pp.46-54", avaliable at <a href="https://data.mendeley.com/datasets/45f952y38r/5">Mendeley</a>. Distributed under CC BY 4.0.</li> <li><strong>MotionSense</strong>, from "Malekzadeh, M., Clegg, R.G., Cavallaro, A. and Haddadi, H., 2019, April. Mobile sensor data anonymization. In Proceedings of the international conference on internet of things design and implementation (pp. 49-58)", available at <a href="https://www.kaggle.com/datasets/malekzadeh/motionsense-dataset" target="_blank" rel="noopener">Kaggle</a>. Distributed under Open Data Commons Open Database License (ODbL) v1.0.</li> <li><strong>RealWorld</strong>, from "Sztyler, T. and Stuckenschmidt, H., 2016, March. On-body localization of wearable devices: An investigation of position-aware activity recognition. In 2016 IEEE international conference on pervasive computing and communications (PerCom) (pp. 1-9). IEEE", available at <a href="https://www.uni-mannheim.de/dws/research/projects/activity-recognition/dataset/dataset-realworld/" target="_blank" rel="noopener">this link</a>. We obtained explicitly permission to distribute a copy of the preprocessed data from the original authors.</li> <li><strong>UCI-HAR</strong>, from "Reyes-Ortiz, J.L., Oneto, L., Samà, A., Parra, X. and Anguita, D., 2016. Transition-aware human activity recognition using smartphones. Neurocomputing, 171, pp.754-767", available at <a href="https://archive.ics.uci.edu/dataset/240/human+activity+recognition+using+smartphones">UCI Repository</a>. Distributed under CC BY 4.0.</li> <li><strong>WISDM</strong>, from "Weiss, G.M., Yoneda, K. and Hayajneh, T., 2019. Smartphone and smartwatch-based biometrics using activities of daily living. Ieee Access, 7, pp.133190-133202", available at <a href="https://archive.ics.uci.edu/dataset/507/wisdm+smartphone+and+smartwatch+activity+and+biometrics+dataset">UCI repository</a>. Distributed under CC BY 4.0.</li> </ul>
Data from ONSET OF EARLY SPRING ACTIVITY BY AMPHIBIANS IN ITHACA, NEW YORK, USA
<p>This dataset was generated by conducting a search of all verifiable, research grade observations with photographs of amphibians (Category = Amphibia) in Ithaca, New York for the period 1 February to 30 April for the years 2016–2024. We constrained the search to an area within a 5 km radius of Cornell University, Ithaca, New York, USA (42.45° N, 76.48° W). The data output was modified to remove observer names as well as datafields that were extraneous to the analysis.</p>
Dataset for Unraveling the Versatility of Carbon Black – Polylactic Acid(CB/PLA) 3D-Printed Electrodes via SustainableElectrochemical Activation
<p>The dataset contains all relevant data and figures regarding the manuscript "Unraveling the versatility of CB/PLA 3d printed electrodes through electrochemical activation".</p> <p>All Figures are in tiff format and all relevant data are in csv formats. </p> <p>The data in csv format are labelled as specified in the corresping images (e.g. Figure 1A csv file corresponds to data used to plot graphs from Figure 1A etc.). </p> <p>Axis labeling and units are always specified at the beginning of individual columns. If more than one curve was plotted from the csv file, the conditions can also be found at the beginning of corresponding columns.</p>
Linking 23 physical activity intensity levels to health-related quality of life in 10-year-old children
<p>This anonymized data is a subset of the ASK study: <br>Resaland, G.K., Moe, V.F., Aadland, E., et al. Active Smarter Kids (ASK): Rationale and design of a cluster-randomized controlled trial investigating the effects of daily physical activity on children’s academic performance and risk factors for non-communicable diseases.BMC Public Health 15, 709 (2015). https://doi.org/10.1186/s12889-015-2049-y</p> <p>The ASK study was approved by the Regional Committees for Medical and Health Research Ethics in Norway (reference number: 2013/1893) and registered at www.Clinicaltrials.gov with ID NCT02132494. </p> <p>The selected cross-sectional baseline data in this file are used in the following unpublished paper: <br>Stai, M., Aadland, E., Andersen, J.R. (Year). *Linking 23 physical activity intensity levels to health-related quality of life in 10-year-old children.</p> <p>The data is stored in Excel. <br><br>Explanations: <br>- #NULL! = missing data<br>- Sex (0 = Girl, 1= Boy) <br>- Overweight or obesity (0 = No, 1 = Yes)<br>- All other data has labeling that is self-explanatory. </p> <p>Corresponding Author: <br>John Roger Andersen, johnra@hvl.no </p> <p> </p>
Neutron activation analysis data of pottery from El Rincon, Los Angeles, Martinez, Piedras Blancas, Bordo de los Indios, and other sites, Argentina
<p>Neutron activation analysis data of pottery from El Rincon, Los Angeles, Martinez, Piedras Blancas, Bordo de los Indios, and other sites in Catamarca Province, Argentina</p>
Neutron activation analysis data of pottery from Rio Grande, Parque Grand Chaco, and Bañados del Izozog, Bolivia
<p>Neutron activation analysis data of pottery from Rio Grande, Parque Grand Chaco, and Bañados del Izozog, Santa Cruz Department, Bolivia.</p>
Dades històriques de les accions de les empreses més actives de Yahoo Finance (2019-2024)
<p>Aquest dataset conté informació històrica sobre les accions de les empreses més actives de <a href="https://finance.yahoo.com/markets/stocks/most-active/">Yahoo Finance</a>. Inclou preus diaris com ara els preus d'obertura, màxim, mínim, tancament i tancament ajustat, així com el volum de negociació de cada empresa. Les dades corresponen als darrers cinc anys i ofereixen una visió històrica del rendiment de les accions i les tendències de les empreses.</p> <p>Els camps que s’inclouen al dataset són els següents:</p> <ul> <li> <p>Date: La data del registre, en format YYYY-MM-DD.</p> </li> <li> <p>Open: El preu d'obertura de l'acció en el dia especificat.</p> </li> <li> <p>High: El preu més alt que l'acció durant el dia.</p> </li> <li> <p>Low: El preu més baix que l'acció durant el dia.</p> </li> <li> <p>Close: El preu de tancament de l'acció al final del dia.</p> </li> <li> <p>Adj Close: El preu de tancament ajustat (tenint en compte dividends i splits).</p> </li> <li> <p>Volume: El volum de transaccions de l’acció. </p> </li> <li> <p>Company: El nom de l'empresa a la qual pertany l'acció.</p> </li> </ul> <p> </p>
Data for publication "The surface tension and CCN activation of sea spray aerosol particles"
<p>This repository contains the data of the publication:</p> <p>Title: "The surface tension and CCN activation of sea spray aerosol<br>particles"<br>Authors: Judith Kleinheins, Nadia Shardt, Ulrike Lohmann, and Claudia Marcolli<br>Date: 2024</p> <p>Version v2: updated data (Scrit_results.json) after first round of paper review.</p>
Comparison Results for Global Optimization Solvers Using a MIMO System With Two, Three and Four Active Layers as a Benchmark
<p>Benchmark data for GPU-based interval optimization of a simulated MIMO system with two, three and four active layers. We compare popular optimization tools from C-XSC and GNU Octave to purely brute-force based techniques for the GPU. Execution times were measured in seconds.</p>
Interleukin-6 (IL-6) activates the NOTCH1 signaling pathway through E-proteins in endometriotic lesions
<p><b>Context:</b> NOTCH signaling is activated in endometriotic lesions but the exact mechanisms remains unclear. Interleukin-6 (IL-6), which is increased in the peritoneal fluid of women with endometriosis, induces NOTCH1 through E-proteins including E2A and HEB in cancer development.</p> <p><b>Objective:</b> To study the role of E-proteins in inducing NOTCH1 expression under the regulation of IL-6 in endometriosis.</p> <p><b>Setting and Design:</b> The expression of E2A, HEB and NOTCH1 was first investigated in endometrium of women with endometriosis and the baboon model of endometriosis. Regulation of E-proteins and NOTCH1 expression was examined after IL-6 stimulation and siRNA mediated inhibition of E2A or/and HEB in human endometriotic epithelial cells (12Z) <i>in vitro</i>, and subsequent following <i>in vivo </i>IL-6 treatment in the mouse model of endometriosis <i>in vivo</i>.</p> <p><b>Results: </b>E2A, HEB and NOTCH1 were significantly upregulated in glandular epithelium (GE) of ectopic endometrium compared to eutopic endometrium in both women and baboon model. IL-6 treatment upregulated the expression of NOTCH1 together with E2A and HEB in 12Z cells. siRNA inhibition of E2A and HEB or HEB alone decreased NOTCH1 expression. Binding efficiency of both E2A and HEB was significantly higher at the binding sites on the human NOTCH1 promoter after IL-6 treatment. Finally, IL-6 treatment resulted in a significantly increased number of endometriotic lesions along with the increased expression of E2A, HEB and NOTCH1 in GE of the lesions compared with the vehicle treated group in an endometriosis mouse model.</p> <p><span><b>Conclusions:</b> IL-6 induced NOTCH1 expression is mediated by E-proteins in the ectopic GE cells, which may promote endometriotic lesion development. </span></p>
Data from: Population-based screening for hepatitis C antibodies and active infection using a point-of-care test in a low prevalence area
<p><span><span><span><span><span><span><span><span><span><span><span><b>Background.</b> Data on the true prevalence of hepatitis C virus (HCV) infection in the </span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>general population is essential to health policies. We evaluated a program implementing free universal HCV screening using a non-invasive point-of-care test (POCT) (OraQuick-HCV rapid test) in oral fluid in an urban area in Valencia, South-Eastern Spain. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Methods.</b> A cross-sectional study was performed during 2015-2017. Free HCV screening was offered by regular mail to 11,500 individuals aged 18 and over, randomly selected from all census residents in the Health Department. All responding participants filled in a questionnaire about HCV infection risk factors and were tested in their tertiary Hospital. In those with a positive POCT, results were confirmed by enzyme-immunoassay and HCV-RNA.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results.</b> 1,206 persons agreed to participate (response rate: 11.16%). HCV antibodies were detected in 19 (1.60%) cases (age-sex standardized rate: 1.31%; 95%CI: 0.82-2.07), but only 8 showed positive HCV-RNA (age-sex standardized rate: 0.56%; 95%CI: 0.28-1.14). The majority (89%) of the cases were born before 1965 and 74% had at least one known risk factor for HCV infection. All anti-HCV positive individuals were already aware of their infection, and no undiagnosed cases were detected. The performance of the POCT was excellent for detecting active infection. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions.</b> These preliminary data suggest that HCV population screening with a POCT is feasible but, in our setting, mailing recruiting is not effective (11% response rate). The low prevalence of HCV antibodies and active infection in the participant population (with no new diagnoses made) suggests that, in our setting, underdiagnosis may be uncommon.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Files uploaded include the study database (Stata v.13) and the do.file of the study.</b></span></span></span></span></span></span></span></span></span></span></span></p>
Supporting data for increasing fire activity reinforces shrub conversion in Southwestern US forests
<p>Fire-exclusion in historically frequent-fire forests of the southwestern United States has altered forest structure and increased the probability of high-severity fire. Warmer and drier conditions, coupled with dispersal distance limitations are limiting tree seedling establishment and survival following high-severity fire. Post-fire conversion to non-forest vegetation can be reinforced by subsequent fire events. We sought to determine the influence of fire probability on post-fire vegetation development in a severely burned landscape in New Mexico, USA. We used LANDIS-II to simulate three fire probability scenarios—contemporary mean fire return interval (CMFRI), and 1.5 times and 2 times CMFRI—with contemporary climate. As fire probability increased, the mean size of the largest fires and the mean landscape fire severity increased. These changes in fire characteristics resulted in a net decrease in total above ground biomass and photosynthetic capacity on the landscape. Additionally, the distribution of individual species biomass shifted, with early successional species, especially those that resprout after fire, increasing as a fraction of total biomass with increasing fire occurrence. Continued increases in fire frequency are likely to favor resprouting species and result in a loss of forest biomass and ecosystem productivity in this southwestern forest landscape.</p>
Dataset accompanying: Directional biosonar beams allow echolocating harbour porpoises to actively discriminate and intercept closely-spaced targets
<p>These datasets accompany the manuscript "Directional biosonar beams allow echolocating harbour porpoises to actively discriminate and intercept closely-spaced targets". Three XLSX spreadsheets contain data for trial-specific variables (Dataset A, n=120, used for trial duration, discrimination success, number of scans, buzz duration, range to target at buzz onset, range to target at discrimination), on-axis click candidates (Dataset B, n=1810, used for delta T, delta EL), and true on-axis clicks (Dataset C, n=906, used for SL and bearing calculations). Units of each variable are denoted in the column headers. Details on data collection, curation, and analysis can be found in the Malinka<em> et al</em>. publication ([insert link to DOI once available]).</p> <p>For comments/questions, please contact chloe.e.malinka [at] bio.au.dk</p>
Analysis code and quantification for publication "The stress-sensing domain of activated IRE1α forms helical filaments in narrow ER membrane tubes"
<p>Analysis code and input/output files for all quantifications performed for publication entitled "The stress-sensing domain of activated IRE1α forms helical filaments in narrow ER membrane tubes." </p> <p>All questions on the analyses or code can be directed to han@walterlab.ucsf.edu</p>
Gm364 Coordinates MIB2/DLL3/Notch2 to Regulate Female Fertility through AKT Activation
<p><strong>Supplementary dataset 1. </strong>Related to fertility assays in Figure 1I and 1J. WT mating male mice were monthly rotated between cages according to this random allocation table. Dates are presumptive.</p> <p><strong>Supplementary </strong><strong>dataset</strong> <strong>2</strong><strong>.</strong> Related to figure 7A-C. This excel file contains FPKM values of three WT or Gm364-KO repeats, Log2-Ave value, and Log2(Ave-Gm364-KO/ave-WT) for each genes. To avoid the illegal calculation of value “0”, we added a minimal value “0.001” to all original values (we have verified that this did not alter any differential trends). The data were arranged to the ascending order of Log 2(Ave-Gm364-KO/ave-WT) values.</p> <p><strong>Supplementary </strong><strong>dataset</strong> <strong>3</strong><strong>.</strong> Related to figure 7D and 7E. This excel file contains six sheets. "CPG-all info", "CHG-all info", and "CHH-all info" contain all original information for CPG, CHG, or CHH promoter regions of each genes; "CpG methyl value", "CHG methyl value", and "CHH methyl value" contain methylation values, Ave methylation values of three WT or Gm364-KO repeats, Log2-Ave value, and Log2(Ave-Gm364-KO/ave-WT) for CPG, CHG, or CHH promoter regions of each genes. To avoid the illegal calculation of value “0”, we added a minimal value “0.001” to all original values (we have verified that this did not alter any differential trends). The data were arranged to the ascending order of Log 2(Ave-Gm364-KO/ave-WT) values.</p> <p><strong>Supplementary dataset 4. </strong>Related to figure 8A and 8G. This excel file contains two sheets. "RNA seq up & down top 20" contains top 20 up-regulated & down-regulated DEGs; "RRBS up & down top 20" contains top 20 up-regulated & down-regulated DMRs.</p> <p> </p>
A dataset for tracking the activity and abundance of Bogong moths at Mt Gingera, ACT in the austral summer of 2020-2021
<p>This dataset contains images captured using wildlife cameras outside Bogong moth aestivation caves on Mt Gingera, ACT in the austral summer of 2020-2021. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (<a href="https://github.com/J-Wall/camfi">https://github.com/J-Wall/camfi</a>).</p>
A dataset for tracking the activity and abundance of Bogong moths at Mt Kosciuszko, NSW in the austral summer of 2020-2021
<p>This dataset contains images captured using wildlife cameras outside Bogong moth aestivation caves on Mt Kosciuszko, NSW in the austral summer of 2020-2021. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (<a href="https://github.com/J-Wall/camfi">https://github.com/J-Wall/camfi</a>).</p>
A dataset for tracking the activity and abundance of Bogong moths at Mt Kosciuszko, NSW in the austral summer of 2019-2020
<p>This dataset contains images captured using wildlife cameras outside Bogong moth aestivation caves on Mt Kosciuszko, NSW in the austral summer of 2019-2020. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (<a href="https://github.com/J-Wall/camfi">https://github.com/J-Wall/camfi</a>).</p>
A selective role for receptor activity-modifying protein in sub-chronic action of the amylin selective receptor agonist NN1213 compared to salmon calcitonin on body weight and food intake in male mice
<p>Raw data prism files for the manuscript "A selective role for receptor activity-modifying protein in sub-chronic action of the amylin selective receptor agonist NN1213 compared to salmon calcitonin on body weight and food intake in male mice"</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.