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316 results for “lessons”
Web Experience in Mobile Networks: Lessons from Two Million Page Visits
<p>Measuring and characterizing web page performance is a challenging task.</p> <p>When it comes to the mobile world, the highly varying technology characteristics coupled with the opaque network configuration make it even more difficult.</p> <p>Aiming at reproducibility, we present a large scale measurements study of web page performance collected in eleven commercial mobile networks spanning four countries.</p> <p>We build a dataset of nearly two million web browsing sessions to we shed light on the impact of different web protocols, browsers, and mobile technologies on the web performance.</p> <p>We find that the impact of mobile broadband access is sizeable.</p> <p>For example, the median page load time using mobile broadband increases by a third compared to wired access.</p> <p>Mobility clearly stresses the system, with handover causing the most evident performance penalties.</p> <p>Contrariwise, our measurements show that the adoption of HTTP/2 and QUIC has practically negligible impact.</p> <p>Our work highlights the importance of large-scale measurements.</p> <p>Even with our controlled setup, the complexity of the mobile web ecosystem is challenging to untangle.</p> <p>For this, we are releasing the dataset as open data for validation and further research.</p> <p>We also release together with the datasets we collected the scripts we use to produce the analysis we present in the paper. Please use plot_all.sh script to generate the plots in the paper, using the separate scripts from the "scripts" archive. </p> <p>Should you use any of these resources, please also make an attribution using the following reference (provided here in bibtex format):</p> <pre>@inproceedings{rajiullah2019web, title={{Web Experience in Mobile Networks: Lessons from Two Million Page Visits}}, author={Rajiullah, Mohammad and Lutu, Andra and Khatouni, Ali Safari and Fida, Mah-Rukh and Mellia, Marco and Brunstrom, Anna and Alay, Ozgu and Alfredsson, Stefan and Mancuso, Vincenzo}, booktitle={The World Wide Web Conference}, pages={1532--1543}, year={2019}, organization={ACM}, address = {San Francisco, CA, USA}, keywords = {Web Experience, HTTP2, QUIC, TCP, Mobile Broadband, Measurements} }</pre>
Supplementary material for the publication: J.D. Nixon, K. Bhargava and E. Gaura, Energy Performance Gap in Community-Based Solar Energy Interventions: Lessons from two Rwandan Refugee Camps, 2020
<p>The dataset deposited here was prepared under the EPSRC-funded <a href="http://heed-refugee.coventry.ac.uk/">Humanitarian Engineering and Energy for Displacement</a> research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people. </p> <p>As part of the project, we deployed a Standalone Solar System for a Community Hall in Nyabiheke camp, Rwanda, and a PV-battery Microgrid in Kigeme camp, Rwanda. The microgrid supplies power to a playground and two nursery buildings. It powers a total of 20 CPE (each with 3 LEDs) and 10 sockets. The standalone system at Hall powers 7 CPE (with 3 LEDs each) and 4 sockets. The aim of the study was to (a) understand the energy consumption behaviour, light usage and other enabled uses within the set location in each camp (b) create an evidence base on the value of energy and its benefits in displaced contexts (c) identify best practice in the construction, control and operation of the respective systems as a shared energy resource.</p> <p>The system data used for the performance analysis for this study (July 2019 and March 2020) is deposited here along with the metadata. The results from analysis are presented in a paper titled '<strong>Energy Performance Gap in Community-Based Solar Energy Interventions: Lessons from two Rwandan Refugee Camps</strong>' (currently under submission). The scripts for analysis can be found at our Github account <a href="https://github.com/cogent-computing">Cogent Labs</a> under HEED-Microgrid and HEED-Hall repositories.</p>
An Empirical Characterization of Event Sourced Systems and Their Schema Evolution - Lessons from Industry - Accompanying Anonymized Transcripts
<p>Anonymized interviews with 25 engineers on their experience applying Event Sourcing, with accompanying classifications. These transcripts are used in our publication "An Empirical Characterization of Event Sourced Systems and Their Schema Evolution - Lessons from Industry".</p>
DELANA - An eyetracking dataset from facilitating a series of laptop-based lessons
<p>This dataset contains eye-tracking data from a two subjects (an expert and a novice teachers), facilitating three collaborative learning lessons (2 for the expert, 1 for the novice) in a classroom with laptops and a projector, with real master-level students. These sessions were recorded during a course on the topic of digital education and learning analytics at [EPFL](http://epfl.ch).</p> <p>This dataset has been used in several scientific works, such as the [CSCL 2015](http://isls.org/cscl2015/) conference paper "The Burden of Facilitating Collaboration: Towards Estimation of Teacher Orchestration Load using Eye-tracking Measures", by Luis P. Prieto, Kshitij Sharma, Yun Wen & Pierre Dillenbourg. The analysis and usage of this dataset is available publicly at https://github.com/chili-epfl/cscl2015-eyetracking-orchestration</p>
JDC2014 - An eyetracking dataset from facilitating a semi-authentic multi-tabletop lesson
<p>This dataset contains eye-tracking data from a single subject (a researcher), facilitating three collaborative learning lessons in a multi-tabletop classroom, with real 10-12 year old students. These sessions were recorded during an "open doors day" at the [CHILI Lab](http://chili.epfl.ch).</p> <p>This dataset has been used in several scientific works, such as the [CSCL 2015](http://isls.org/cscl2015/) conference paper "The Burden of Facilitating Collaboration: Towards Estimation of Teacher Orchestration Load using Eye-tracking Measures", by Luis P. Prieto, Kshitij Sharma, Yun Wen & Pierre Dillenbourg. The analysis and usage of this dataset is available publicly at https://github.com/chili-epfl/cscl2015-eyetracking-orchestration</p>
JDC2015 - A multimodal dataset from facilitating multi-tabletop lessons in an open-doors day
<p><strong>IMPORTANT NOTE: Two of the files in this dataset are incorrect, see this dataset's errata at https://zenodo.org/record/204063 and https://zenodo.org/record/204819</strong></p> <p>This dataset contains eye-tracking, EEG, accelerometer, indoor location and video coding data from a single subject (a researcher with limited teacher experience), facilitating four maths lessons in a simulated multi-tabletop classroom, with four cohorts of 10-12 year old students, using tangible paper tabletops and a projector. These sessions were recorded in the frame of the MIOCTI project (http://chili.epfl.ch/miocti).</p> <p>This dataset has been used in several scientific works, such a submitted journal paper "Orchestration Load Indicators and Patterns: In-the-wild Studies Using Mobile Eye-tracking", by Luis P. Prieto, Kshitij Sharma, Lukasz Kidzinski & Pierre Dillenbourg (the analysis and usage of this dataset is available publicly at https://github.com/chili-epfl/paper-IEEETLT-orchestrationload)</p>
Supporting Data for "Exploring ChatGPT-4 for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Development"
<p>Data from the trials with ChatGPT to generate OWL files for taxonomic data from the GBIF Backbone Taxonomy.</p> <p>Updates of version 2: additional prompts from the experiments with Gemini and DeepSeek.</p>
ACTIVAGE results lessons learnt workshops
<p>ACTIVAGE results lessons learnt workshops:</p> <ul> <li>SoA sobre guidelines de UX/UI for elderly users</li> <li>ACTIVAGE Lessons learnt UX/UI</li> <li>IND. DS Lessons learnt: DS individual contributions in the different lessons.</li> <li>ACTIVAGE Lessons learnt: final refined version</li> </ul>
Data and outputs for chapter 'The impacts of the 2019-20 wildfires on Australian fungi ' in 'Australia's Megafires: Biodiversity Impacts and Lessons from 2019-2020
<p><strong>Dataset includes raw data downloaded from the following sources: fungi_data.csv</strong></p> <ul> <li>Atlas of Living Australia occurrence download: https://doi.org/10.26197/ala.9e0ca388-9da2-4096-b1a3-26e2aaa51d8a. Accessed 2021-09-16. GBIF.org (16 September 2021)</li> <li>GBIF Occurrence Download https://doi.org/10.15468/dl.secenk</li> <li>Fungimap (https://fungimap.org.au/ (data obtained directly from Fungimap Inc.)</li> <li>MycoPortal (https://mycoportal.org/portal/index.php)</li> <li>iNaturalist (https://www.inaturalist.org/home)</li> </ul> <p><strong>Output files from point and polygon overlap with fire layer:</strong></p> <ul> <li>Fungi and fire analysis point overlap.xlsx</li> <li>Fungi and fire analysis polygon overlap.xlsx</li> </ul> <p> </p> <p> </p>
Data for "Directional asymmetry and direction-giving factors: lessons from flowers with complex symmetry"
<p>These are the raw data associated with the following publication:</p> <p>Budečević, S., S. Manitašević Jovanović, A. Vuleta, B. Tucić, and C. P. Klingenberg. 2022. <strong>Directional asymmetry and direction-giving factors: lessons from flowers with complex symmetry</strong>. Evolution & Development: advance online.<br> <a href="https://doi.org/10.1111/ede.12402">https://doi.org/10.1111/ede.12402</a></p> <p><strong>Abstract: </strong>Directional asymmetry is a systematic difference between the left and right sides for structures with bilateral symmetry, or a systematic differentiation among repeated parts for complex symmetry. This study explores factors that produce directional asymmetry in the flower of <em>Iris pumila</em>, a structure with complex symmetry that makes it possible to investigate multiple such factors simultaneously. The shapes and sizes of three types of floral organs, the falls, standards, and style branches, were quantified using the methods of geometric morphometrics. For each flower, this study recorded the compass orientations of floral organs as well as their anatomical orientations relative to the two spathes subtending each flower. To characterize directional asymmetry at the whole-flower level, differences in the average sizes and shapes according to compass orientation and relative orientation were computed, and the left–right asymmetry was also evaluated for each individual organ. No size or shape differences within flowers were found in relation to anatomical position, which may relate to the terminal position of flowers in <em>Iris pumila</em>, so that there was no evidence of any adaxial–abaxial polarity (which is very prominent in many other taxa). There was clear directional asymmetry of shape in relation to compass orientation, presumably driven by a consistent environmental gradient such as solar irradiance. There was also clear directional asymmetry between left and right halves of every floral organ, most likely related to the arrangement of organs in the bud. These findings indicate that there are different factors acting to produce directional asymmetry at different levels. In conventional analyses, these effects would be impossible to disentangle from each other and would probably be included as part of fluctuating asymmetry.</p> <p><strong>Data included</strong></p> <p>This data set includes landmark data for the falls, standards, and style branches of flowers of <em>Iris pumila</em>, as well as information about the compass orientation of each flower part, the compass orientation of the outer spathe of the respective flower, and the orientation of the flower part relative to the outer spathe, as described in the paper.</p> <p>The plants and flowers considered in this study have been sequentially numbered specifically for this study, and the identifiers for the floral parts use this numbering system. The numbers are consistent between the different flower parts included in the study.</p> <p>Files included:</p> <p><strong>fall_coord.txt</strong>: Landmark coordinates for the falls. The landmark coordinates are presented in the order X, Y, X, Y,… on a single line for each flower part. The first entry on each line is the identifier for the respective flower part.</p> <p><strong>fall_orient.txt</strong>: Information on orientations for the falls. For each fall, this file includes the number of the plant, the number of the flower, the compass orientation of the flower part, the compass orientation of the outer spathe of the respective flower, and the orientation of the flower part relative to the outer spathe. The identifiers (first entry of each line) are the same as in the file fall_coord.txt and can be used for matching the information.</p> <p><strong>standard_coord.txt</strong>: Landmark coordinates for the standards. The landmark coordinates are presented in the order X, Y, X, Y,… on a single line for each flower part. The first entry on each line is the identifier for the respective flower part.</p> <p><strong>standard_orient.txt</strong>: Information on orientations for the standards. For each standard, this file includes the number of the plant, the number of the flower, the compass orientation of the flower part, the compass orientation of the outer spathe of the respective flower, and the orientation of the flower part relative to the outer spathe. The identifiers (first entry of each line) are the same as in the file standard_coord.txt and can be used for matching the information.</p> <p><strong>style_coord.txt</strong>: Landmark coordinates for the style branches. The landmark coordinates are presented in the order X, Y, X, Y,… on a single line for each flower part. The first entry on each line is the identifier for the respective flower part.</p> <p><strong>style_orient.txt</strong>: Information on orientations for the style branches. For each style branch, this file includes the number of the plant, the number of the flower, the compass orientation of the flower part, the compass orientation of the outer spathe of the respective flower, and the orientation of the flower part relative to the outer spathe. The identifiers (first entry of each line) are the same as in the file style_coord.txt and can be used for matching the information.</p> <p> </p> <p>For further information, please see the associated paper. For any use of this data set, cite the dataset itself as well as the associated paper.</p> <p> </p>
Methodological and practical lessons learned from exploring the material criticality of two hydrogen-related products
<p>As the European Union embarks on the energy transition, several challenges need to be faced to ensure that this shift is conducted from a holistic perspective that avoids burden-shifting across sustainability dimensions. One of the main concerns refers to the future availability of materials that clean technologies require. Critical raw<br>material assessment serves to guide the management of such mineral resources in a new paradigm of increasing demand. This work delves into the methodological fundamentals of several product-level criticality indicators in order to discuss their implications within the context of the ecodesign of two hydrogen-related products. Overall, criticality is advised to be assessed making use of several indicators. In the case study of a proton exchange membrane fuel cell stack, the combined interpretation of criticality indicators leads to identifying platinum as the main hotspot, while yttrium and lanthanum account for the most relevant criticality contributions in the case<br>study of a solid oxide electrolysis cell stack.</p>
The long-term impact of church activity on social capital: lessons from post-war Czechoslovakia
<p>This is a basic set of variables used in the paper "The long-term impact of church activity on social capital: lessons from post-war Czechoslovakia", co-authored by Štěpán Mikula (Masaryk Unversity, IZA), Fabio Sabatini (Sapienza University of Rome, IZA), and Tommaso Reggiani (Cardiff University, Masaryk Unversity, IZA). The first draft of the paper is available as a MUNI ECON working paper (<a href="https://doi.org/10.5817/WP_MUNI_ECON_2023-03" target="_blank" rel="noopener">DOI 10.5817/WP_MUNI_ECON_2023-03</a>), which also includes a detailed data description.</p> <p>The current dataset is restricted to variables that are available from open sources. We are not allowed to share the complete set of variables publically.</p> <p>The table contains the following variables:</p> <ul> <li>KOD_OBEC...Municipality ID defined by <a href="https://apl2.czso.cz/iSMS/cisdet.jsp?kodcis=43">CISOB codebook</a>.</li> <li>dieceze...Diocese name (as defined in pre-1989 period)</li> <li>year</li> <li>church...Indicator variable for the presence of a church building in the municipality in 1945</li> <li>ngo_all...Density of NGOs</li> <li>ngo_other...Density of church-unrelated NGOs</li> <li>ngo_church...Density church-related NGOs</li> <li>priest_years...priests' tenure (years)</li> <li>ger_share...Share of ethnic Germans in 1930 (<a href="https://doi.org/10.1016/j.jue.2021.103385">Guzi et al. 2021</a>)</li> <li>population1950...Population in 1950 (<a href="https://csu.gov.cz/produkty/historicky-lexikon-obci-1869-az-2015">Historický atlas</a>)</li> <li>TRI_mean...Terrain Roughness Index</li> <li>CZdist...Distance to the country border</li> </ul>
Data and code for "Carbon neutrality should not be the end goal: Lessons for institutional climate action from U.S. higher education"
<p>Code and data for the paper "Carbon neutrality should not be the end goal: Lessons for institutional climate action from U.S. higher education"</p> <p>File descriptions:</p> <p>'HEI_analysis_OneEarth.Rmd' is the code with improved annotation and colorblind-friendly figures.</p> <p>All other data files are provided as excel and csv for convenience.</p> <p>'working_master_data' contains data from the Second Nature reporting platform on emissions by category for each institution analyzed in the paper (measured in metric tons). All adjustments necessary to fill in the data gaps in this file are documented at the beginning of 'HEI_analysis'.</p> <p>'offsets' contains data on the type(s) of offsets purchased by each school in their carbon neutral year (measured in metric tons). This data was assembled from a variety of sources which are documented at the beginning of 'HEI_analysis'.</p> <p>'carbon_neutral_years' contains yearly counts of higher education neutrality goals that were reported to Second Nature as of November 2020.</p>
Data: Contrasting current and future surface melt rates on the ice sheets of Greenland and Antarctica: lessons from in situ observations and climate models
<p>These data accompany the publication "Contrasting current and future surface melt rates on the ice sheets of Greenland and Antarctica: lessons from in situ observations and climate models". The data are organized as follows:</p> <p>- two files with time series (csv) of hourly near-surface climate and surface energy balance values for Neumayer station (ice shelf, East Antarctic ice sheet) and automatic weather station S5 (southwest Greenland ice sheet)</p> <p>- two files (nc) with monthly melt fields from the regional climate model RACMO2.3p2 forced by ERA5 over Greenland (0.05-degree resolution) and Antarctica (0.25-degree resolution)</p> <p>- two files (nc) with annual melt fields from the regional climate model RACMO2.3p2 forced by CESM2 over Greenland (0.1-degree resolution) and Antarctica (0.25-degree resolution) or the historical period (1950-2014)</p> <p>- two files (nc) with annual melt fields from the regional climate model RACMO2.3p2 forced by CESM2 over Greenland (0.1-degree resolution) and Antarctica (0.25-degree resolution) for the future emission scenario SSP5-8.5 (2015-2099)</p>
#EsLey. Lessons on the Legalisation of Abortion in Argentina
<p>This video was presented at the LSE Conference 'Knowledge Beyond Boundaries' on June 17, 2021.</p>
Datasets from: Adaptation of Mediterranean forest species to climate: lessons from common garden experiments
<p>We include information (raw Datasets) corresponding to the paper; Adaptation of Mediterranean forest species to climate: lessons from common garden experiments.</p> <p>Table Journal of Ecology Review.xls. Material used in the metaanalysis</p> <p>JoE Row data Common garden.xls. Raw data for survival and height used in the study. Multi-environment commong garden data for Pinus canariensis, P. halepensis, P. nigra, P. pinaster, Quercus ilex, and Q. suber.</p> <p>JoE Dataset4.xls. Data used for the analysis of local adaptation.</p> <p> </p>
ISL2014BASELINE - An eyetracking dataset from facilitating secondary geometry lessons
<p>This dataset contains eye-tracking data from a single subject (a researcher), facilitating two geometry lessons in a secondary school classroom, with 11-12 year old students using laptops and a projector. These sessions were recorded in the frame of the MIOCTI project (http://chili.epfl.ch/miocti).</p> <p>This dataset has been used in several scientific works, such as the ECTEL 2015 (http://ectel2015.httc.de/) conference paper "Studying Teacher Orchestration Load in Technology-Enhanced Classrooms: A Mixed-method Approach and Case Study", by Luis P. Prieto, Kshitij Sharma, Yun Wen & Pierre Dillenbourg (the analysis and usage of this dataset is available publicly at https://github.com/chili-epfl/ectel2015-orchestration-school)</p>
JDC2015 (ERRATUM 2) - A multimodal dataset from facilitating multi-tabletop lessons in an open-doors day
<p>This dataset is a complement (a correction, actually) to the "JDC2015 - A multimodal dataset from facilitating multi-tabletop lessons in an open-doors day" dataset, also published in Zenodo (see https://zenodo.org/record/198709 for further info on the dataset). This erratum contains a zip file that substitutes the (incomplete) JDC2015-CodingData.zip file in the original dataset.</p>
JDC2015 (ERRATUM) - A multimodal dataset from facilitating multi-tabletop lessons in an open-doors day
<p>This dataset is a complement (a correction, actually) to the "JDC2015 - A multimodal dataset from facilitating multi-tabletop lessons in an open-doors day" dataset, also published in Zenodo (see https://zenodo.org/record/198709 for further info on the dataset). This erratum contains a zip file that substitutes the (corrupt) JDC2015-EyetrackingData.zip file in the original dataset.</p>
Factors influencing the likelihood of accessing healthcare during the COVID-19 pandemic in Ireland: lessons for the future
<p>This is an adapted version of the original National Household Survey - Wave 1 whereby existing variables were recoded to create new variables for the purpose of a new analysis.</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.