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7,378 results for “case”
Monitoring Continuous Integration Practices in Industry: A Case Study
<p><span>In our previous studies </span><span>have demonstrated </span><span>that only executing automatic builds and checking test coverage </span><span>have been considered to measure the level of Continuous Integra</span><span>tion maturity in several projects. In this paper we seek for under</span><span>stand the the benefits and challenges of monitoring CI practices in </span><span>day-to-day software development.</span><span> </span><span>We aim to evaluate the </span><span>impact of monitoring seven CI practices in a real-world scenario on </span><span>three public organizations in Brazil.</span><span> </span><span>We first developed a </span><span>CI practices monitoring suite tool and conducted a multiple-case </span><span>study applying a mixed-methods strategy, combining surveys, in</span><span>terviews, log data, and mining data from CI services.</span><span> </span><span>We </span><span>verified organization’ interest in monitoring CI practices. Moni</span><span>toring provided an overview of the organization’s CI status, not </span><span>covered by other tools, motivated constant improvement in these </span><span>practices, a perception of software quality, improve the communica</span><span>tion and and it is easy to adopt.</span><span> </span><span>Conclusions:</span><span> </span><span>We recommend that </span><span>companies adopt monitoring of CI practices and that CI services </span><span>integrate this monitoring into their dashboards.</span></p>
Data for "Assessment of using field-aligned currents to drive the Global Ionosphere Thermosphere Model: A case study for the 2013 St Patrick's Day geomagnetic storm"
GITM Simulation results for the paper "Assessment of using field-aligned currents to drive the Global Ionosphere Thermosphere Model: A case study for the 2013 St Patrick's Day geomagnetic storm"
IAM_COMPACT_Open_access_models_for_case_study_countries_datasets
<p>This dataset contains the excel files with all required input data to run OSeMOSYS model for Ukraine, CLEWs model for Kenya, Sri Lanka, and Ethiopia, and OnSSET model model for Ethiopia. Model factsheets, their scope and structure as well as preliminary results are documented in <em>D6.7 - Open-access models for case-study countries</em> (<a href="../doi/10.5281/zenodo.13643021">link</a>). The dataset also features zip files that can be run following the instructions on the report for each model. </p> <p>The preliminary versions of each model were created as part of the capacity development activities of <a href="https://iam-compact.eu/">IAM COMPACT</a> Horizon Europe project. </p> <p>The update of models is documented in <em>D6.8 - Open-access models for case-study countries - Update</em> and is supplemented by Version 2 of this dataset.</p>
Biogeochemical responses to different El Niño events in the equatorial Pacific: A case study of 1997-98 and 2015-16 El Niños
<p>Model output used in Biogeochemical responses to different El Niño events in the equatorial Pacific: A case study of 1997-98 and 2015-16 El Niños</p>
« Lend your Money, Lose your Friend? » - Chinese Official Lending and Bilateral Political Alignment: The Case of Africa
<p>This database provides a set of 45 variables related to UNGA voting affinity vis-à-vis China, official lending, and other bilateral economic and political indicators for China and 43 African countries over the period 2000-2020. The indicators are grouped into four categories: voting data, loan and debt, economic indicators, and political indicators. </p><p>This dataset was compiled in order to conduct research and econometric work for a journal article entitled: </p><p><strong>« Lend your Money, Lose your Friend? » - Chinese Official Lending and Bilateral Political Alignment: The Case of Africa</strong></p><p>, written by Clément Durif, Junior Resarch Fellow at the Asia Centre <a href="mailto:clement.durif@sciencespo.fr">clement.durif@sciencespo.fr</a><br><br>The status of this journal article is pending submittal and acceptation from a Journal Publication</p>
Correlation challenges for North Sea offshore wind power: a Norwegian case study
<p>Dataset and results from this study: Hjelmeland, M., & Nøland, J. K. (2023). Correlation challenges for North Sea offshore wind power: a Norwegian case study. Scientific Reports 2023 13:1, 13(1), 1–17. <a href="https://doi.org/10.1038/s41598-023-45829-2">https://doi.org/10.1038/s41598-023-45829-2</a></p><p>The git hub repo with source code can be found here: <a href="https://github.com/martinhjel/wind-covariation">https://github.com/martinhjel/wind-covariation</a></p>
Research compendium for "Unravelling technological behaviors through core reduction intensity. The case of the early Protoaurignacian assemblage from Fumane Cave."
<p>Research compendium for 'Unravelling technological behaviors through core reduction intensity. The case of the early Protoaurignacian assemblage from Fumane Cave' </p><p> Abstract:</p><p>This paper investigates core reduction intensity in the early Protoaurignacian lithic assemblage from Fumane Cave in northeastern Italy. Here, reduction intensity was used as a means to characterize blank selection strategies and raw material management, explore the variability of knapping strategies throughout the reduction sequence by reconstructing the operatory field of core assemblages, and finally address the relationship between blades and bladelets. The latter aspect was particularly important to gain insights into the behavioral and chrono-cultural significance of laminar productions in the framework of the Aurignacian technocomplex. In order to meet these goals, experimental work was conducted thanks to 3D scanning technology to compare different methods and variables for measuring reduction intensity, including the percentage of non-cortical surface, the Scar Density Index (SDI), and a novel adaptation of the Volumetric Reconstruction Method (VRM). Results demonstrate the effectiveness and potential of adapting VRM for studying reduction intensity in Upper Paleolithic laminar cores, and the provided R scripts and datasets will enable this method to be applied to other contexts with little or no modification of the workflow. The reduction intensity measures applied to the Protoaurignacian assemblage from Fumane Cave reveal slight variations depending on the abundance and proximity of available raw materials selected for blank production. Not surprisingly, the most abundant raw material variety – the Maiolica – has the largest number of less reduced cores, although reduction is fairly high across all cores discarded at the site. The observed variability in the operatory field and the interrelation between blade and bladelet productions underscore the complexity and flexibility of Protoaurignacian human behavior, which also complicate a definitive separation between the operatory fields of blade and bladelet productions. These findings are particularly important to emphasize the importance of considering reduction intensity when examining technological variability and human behavior in Aurignacian studies. We hope that the proposed adaptation of the VRM and the effective combination with other measures of reduction will allow future studies to rightfully incorporate reduction intensity as a temporal component in studies on stone tool production to enhance our understanding of the adaptive behaviors of Homo sapiens in diverse ecological settings and better frame the development of the Upper Paleolithic.</p><p> Keywords:</p><p>Protoaurignacian; Lithic Technology; Reduction Intensity; Cores; VRM; Experimental Archaeology; Fumane Cave<br> </p><p>Overview of contents and how to reproduce:</p><p>This repository contains the codes and datasets for reproducing the results of the experimental (`1_Experimental_Results`) and archaeological (`2_Archaeological_Results`) analyses. Readers can start their own analyses by using the R Markdown files and the datasets. Please, download the complete repository and reproduce the results using `Reduction_Intensity_Protoaurignacian.Rproj` and opening the two folders.<br><br>This repository also contains the 3D models of the cores "3D Experimental cores" and the supplementary tables (Supplementary Material.pdf") used in this research.<br><br> </p>
Supplementary Table 1 - GISAID Accession Numbers of Samples analysed in the first and second waves of SARS-CoV-2 cases in Irish hospitals
<p>The Supplementary Table 1 contains the GISAID accession numbers of samples sequenced in the context of the AIID biobank in the Republic of Ireland during the first and second wave of SARS-CoV-2 cases in hospitals of Dublin.</p>
Reconstructing the feeding ecology of Cambrian sponge reefs: The case for active suspension feeding in Archaeocyatha
Sponge-grade Archaeocyatha were early Cambrian biomineralizing metazoans that constructed reefs globally. Despite decades of research, many facets of archaeocyath palaeobiology remain unclear, making it difficult to reconstruct the palaeoecology of Cambrian reef ecosystems. Of specific interest is how these organisms fed; previous experimental studies have suggested that archaeocyaths functioned as passive suspension feeders relying on ambient currents to transport nutrient-rich water into their central cavities. Here, we test this hypothesis using computational fluid dynamics (CFD) simulations of digital models of select archaeocyath species. Our results demonstrate that, given a range of plausible current velocities, there was very little fluid circulation through the skeleton, suggesting obligate passive suspension feeding was unlikely. Comparing our simulation data with exhalent velocities collected from extant sponges, we infer an active suspension feeding lifestyle for archaeocyaths. The combination of active suspension feeding and biomineralization in Archaeocyatha may have facilitated the creation of modern metazoan reef ecosystems.
A dataset of community perspectives on living conditions and disaster risk management in informal settlements: A case study in KwaZulu-Natal Province, South Africa
<p>This article describes a dataset of community perspectives on living conditions and disaster risk management in Khan Road, a non-serviced informal settlement, located in Pietermaritzburg, the capital of KwaZulu-Natal province in South Africa. The data were collected by local community researchers via a structured questionnaire of 159 participants conducted between August and September 2022, using mobile phones via KoboToolbox. The dataset was analysed using exploratory data analysis (EDA) techniques. This household survey is part of a research project aiming to develop an evidence base of opportunities, risks and vulnerabilities related to housing construction and resource management in incremental upgrading of informal settlements in South Africa. This dataset can be used by local practitioners and policymakers involved in decision-making for informal settlement upgrading and help them prioritise resources and upgrading interventions based on what informal dwellers need. Furthermore, this cleaned dataset could support the analysis of further South African data guiding the development of digital platforms as a real-time resource management tool or guide the enhancement of existing theoretical frameworks in the field of participatory design and co-production used by academic scholars. </p>
Proximity-sensors on GPS collars reveal fine-scale predator-prey behavior during a predation event: A case study from Scandinavia
<p>Although the advent of high-resolution GPS tracking technology has helped increase our understanding of individual and multi-species behavior in wildlife systems, detecting and recording direct interactions between free-ranging animals remains difficult. In 2023, we deployed GPS collars equipped with proximity sensors (GPS proximity collars) on brown bears (<em>Ursus</em> <em>arctos</em>) and moose (<em>Alces</em> <em>alces</em>) as part of a multi-species interaction study in central Sweden. On 6 June, 2023, a collar on an adult female moose and a collar on an adult male bear triggered on each other's UHF signal and started collecting fine-scale GPS positioning data. The moose collar collected positions every 2 minutes for 89 minutes and the bear collar collected positions every 1 minute for 41 minutes. On 8 June, field personnel visited the site and found a female neonate moose carcass with clear indications of bear bite marks on the head and neck. During the predation event, the bear remained at the carcass while the moose moved back and forth, moving towards the carcass site about 5 times. The moose was observed via drone with 2 calves on 24 May and with only one remaining calf on 9 June. This case study describes, to the best of our knowledge, the first instance of a predation event between two free-ranging, wild species recorded by GPS proximity collars. Both collars successfully triggered and switched to finer-scaled GPS fix rates when the individuals were in close proximity producing detailed movement data for both predator and prey during and after a predation event. We suggest that, combined with standard field methodology, GPS proximity collars placed on free-ranging animals offer the ability for researchers to observe direct interactions between multiple individuals and species in the wild without the need for direct visual observation.</p>
Dataset for Article: Potential of dynamic wind farm control by axial induction in the case of wind gusts
<p>This is the dataset for the article "Potential of dynamic wind farm control by axial induction in the case of wind gusts". We provide the data as OUT-files from FAST.Farm simulation. Submission of revised manuscript: November 2023.</p>
Data for: "Hydrogen for harvesting the potential of offshore wind: A North Sea case study"
<p>Supply and demand data for hydrogen and electricity for article "Hydrogen for harvesting the potential of offshore wind: A North Sea case study".</p><p> </p><p>The data is based on the following work:</p><p>G. Durakovic, P. C. del Granado, A. Tomasgard, Powering Europe with North Sea offshore wind: The impact of hydrogen investments on grid infrastructure and power prices, Energy 263 (2023) 125654. doi:10.1016/j.energy.2022.125654.</p><p>The data is obtained from the EMPIRE model found at https://github.com/Goggien/EMPIRE-Public.</p><p>The EMPIRE model is developed at NTNU in The Department of Industrial Economics and Technology Management.</p>
Use Case 3 obtained datasets
<p>Data from the AGV (automated guided vehicle) and its onboard sensors.</p>
Data and code from Lamb et al., "Evaluating conservation units using network analysis: a sea duck case study"
<p>This file consists of data and code used to construct network models for scoters in North America and is associated with the manuscript "<strong>Evaluating conservation units using network analysis: a sea duck case study</strong>" published in Frontiers in Ecology and the Environment. </p><p> </p><p><strong>Continental scoter network mapping </strong>is the R script used to run analyses.</p><p> </p><p><strong>duck_nodes</strong> is the main datafile. Columns are organized as follows:</p><p>id - unique identifier</p><p>species - species from which the centroid was obtained (BLSC = black scoter, SUSC = surf scoter, WWSC = white-winged scoter)</p><p>stage - period of the annual cycle to which the centroid belongs (W = winter, B = breeding, S = spring staging, M = fall staging and molt, WM = winter migration, BM = breeding migration, MM = molt migration, SM = spring migration)</p><p>site - position of centroid within season (i.e., W1 = first site occupied during winter, W2 = second site occupied, etc.)</p><p>cycle - number of annual cycles following transmitter attachment (1 = first cycle after attachment, 2 = second cycle after attachment, etc.)</p><p>sex - sex of individual (M = male, F = female)</p><p>age - age of individual (HY = hatch year, SY = second year, TY = third year, ASY = after second year, ATY = after third year, AHY = after hatch year</p><p>capture_reg - general area where individual was captured</p><p>capture_subreg - specific region within capture region where individual was captured</p><p>lon - longitude of centroid</p><p>lat - latitude of centroid</p><p>duration - number of days spent at centroid</p><p>start - date of arrival at centroid</p><p>end - date of departure from centroid</p><p>jstart - Julian date of arrival at centroid</p><p>jend - Julian date of departure from centroid</p><p>season - season of annual cycle in which centroid occurred (W = winter, F = fall, B = breeding, S = spring)</p><p>year - calendar year in which centroid began</p><p>to - node in which centroid is grouped</p><p>from - node in which previous centroid is grouped (i.e., node in which indiviual was located before moving to present node)</p><p>to_sea - season of annual cycle in which centroid occurred</p><p>from_sea - season of annual cycle in which previous centroid occurred</p><p>type - movement type to centroid; the first letter represents the season (coded as in "season" column), and the second represents the nature of the movement (WD = dispersal within a season, M = migration among seasons)</p><p>type2 - same as "type", but with dispersal movements coded by the stage in which they occur (W = winter, B = breeding, SM = spring migration, WM = winter migration)</p><p>ew - capture location in eastern (east; Atlantic and Great Lakes) or western (west; Pacific) North America</p><p>count_ind_sp - total number of tracked individuals of the species represented by centroid</p><p>wt - base centroid weight (all centroids equal, deployments excluded)</p><p>wt_sp - species-adjusted centroid weight: for centroid <i>x</i> in species <i>s</i>, weight<i>x</i> = (<i>N </i>centroids) × (1 / (<i>n </i>centroids in <i>s</i>))</p><p>wt_dur - duration-adjusted centroid weight: for centroid <i>x</i>, weight<i>x</i> = (days at centroid location) × 365-1</p><p>wt_ind - individual-adjusted centroid weight: for centroid <i>x</i> in individual<i> j</i>, weight<i>x</i> = 1 / (<i>n </i>centroids in <i>j</i>)</p><p>wt_ind_sp - individual and species adjusted centroid weight: for centroid <i>x</i>, individual <i>j</i>, and species <i>s</i>, weight<i>x</i> = (<i>N </i>centroids / (<i>N </i>species * <i>n</i> individuals in <i>s</i>)) × (1 / (<i>n </i>centroids in <i>j</i>))</p><p>wt_cap - capture location adjusted centroid weight: for centroid <i>x</i> and capture location <i>c, </i>weight<i>x </i>= (<i>N </i>centroids / <i>N</i> capture locations) / <i>n</i> centroids in <i>c</i></p><p>wt_ew - east-west adjusted centroid weight: for for centroid <i>x</i> and region <i>r, </i>weight<i>x </i>= (<i>N </i>centroids / <i>N</i> regions) / <i>n</i> centroids in <i>r</i></p><p>wt_spew - species and east-west adjusted centroid weight: for centroid <i>x</i> species <i>s</i>, and region <i>r, </i>weight<i>x </i>= (<i>N </i>centroids / (<i>N</i> species × <i>N</i> regions)) / <i>n </i>centroids for species <i>s</i> in region <i>r</i></p><p>wt_indspew - individual, species, and east-west adjusted centroid weight: for centroid <i>x,</i> individual<i> j, </i>species <i>s</i>, and region <i>r, </i>weight<i>x </i>= <i>N </i>centroids / (<i>N</i> species × <i>N</i> regions × <i>n</i> centroids for individual <i>j </i>× <i>n</i> individuals for species <i>s</i> in region <i>r</i>)</p><p>wt_spewcap - species, east-west, and capture location adjusted centroid weight: for centroid <i>x,</i> species <i>s</i>, capture location <i>c, </i>and region <i>r, </i>weight<i>x </i>= <i>N </i>centroids / (<i>N</i> species × <i>N</i> regions × <i>n</i> centroids for species <i>s</i> in capture location <i>c </i>× <i>n</i> capture locations for species <i>s</i> in region <i>r</i>)</p>
CAIRT/IASI-NG/CAIRT+IASI-NG FL2S results of Case Study Scenario 3 for limb-nadir application
<p>Results of the fast level-2 simulator (FL2S) for Case Study Scenarios 3 (only CO and PAN files) for limb-nadir application. The files contain altitude-time cross-sections of atmospheric parameters along simulated CAIRT-orbits. The variable extensions denote the original field ('_ori'), the application of the averaging kernel ('_ak') and additional application of noise ('_aknoi') for CAIRT alone, IASI-NG alone, and the combined product CAIRT+IASI-NG. </p>
Monitoring of large-scale archaeological excavations using photogrammetric techniques - Nea Paphos case study
<p>Photogrammetric data (images) for five contexts from a single archaeological trench from the Paphos Agora Project (Excavations conducted in Nea Paphos Archaeological Site by Jagiellonian Unversity in Krakow - under the direction of Prof. Ewdoksia Papuci-Władyka). Images for photogrammetric modelling of all contexts were taken in 2015 with the NIKON D7100 camera (24 Mpx resolution), with the number of images per model varying from 25 to 41. For photogrammetric processing, the Agisoft PhotoScan and Reality Capture were used. </p><p>The data (images) were uploaded together with project files from Agisoft Metashape and RealityCapture, exported results (3D models, orthoimages and DEMs) and reference data - point clouds from terrestrial laser scanner measurements are available as supplementary material for the article in Journal of Archaeological Science: Reports. Also, data for one layer below and above, which do not include reference point clouds, have been added.</p>
Data from: Geographic variations in eco-evolutionary factors governing urban birds: the case of university campuses in China
<ol> <li><span>Urbanization alters natural habitats, restructures biotic communities, and serves as a filter for selecting species from regional species pools. However, empirical evidence of the specific traits that allow species to persist in urban areas yields mixed results. More importantly, it remains unclear which traits are widespread for species utilizing urban spaces (urban utilizers) and which are environment-dependent traits. </span></li> <li><span>Using 745 bird species from 287 university/institute campuses in 74 cities and their species pools across China, we tested whether species that occur in urban areas are correlated with regards to their biological (body mass, beak shape, flight capacity, and clutch size), ecological (diet diversity, niche width, and habitat breadth), behavioral (foraging innovation), and evolutionary (diversification rate) attributes. </span></li> <li><span>We used Bayesian phylogenetic generalized linear mixed models to disentangle the relative roles of these predictors further and to determine the extent to which the effects of these predictors varied among different cities. </span></li> <li><span>We found that urban birds were more phylogenetically clustered than expected by chance, and were generally characterized by a larger habitat breadth, faster diversification rate, more behavioral innovation, and smaller body size. Notably, the relative effects of the attributes in explaining urban bird communities varied with city temperature and elevation, indicating that the filters used to determine urban species were environment-dependent. </span></li> <li><span>We conclude that, while urban birds are typically small-sized, generalists, innovative, and rapidly-diversifying, the key traits that allow them to thrive vary spatially, depending on the climatic and topographic conditions of the city. These findings emphasize the importance of studying species communities within specific cities to better understand the contextual dependencies of key traits that are filtered by urban environments.</span></li> </ol>
Landslide rainfall-induced Inventory at Japan case study (2017-2020)
<p>This dataset is used in the article, which title is "Combination of optical images and SAR images for detecting landslide scars, using a classification and regression tree", published in the International Journal of Remote Sensing (https://doi.org/10.1080/01431161.2023.2224096).</p><p>The dataset includes historical landslide inventories conducted by the Geospatial Information Authority of Japan (GSI) and digitized itself.</p>
Data files for Sheehan et al. 2023 'City Scale Traffic Monitoring Using WorldView Satellite Imagery and Deep Learning: A Case Study of Barcelona' DOI: https://doi.org/10.3390/rs15245709
<p>Data files for Sheehan et al. (2023) City Scale Traffic Monitoring Using WorldView Satellite Imagery and Deep Learning: A Case Study of Barcelona. Remote Sensing. 15(24) DOI: <a href="https://doi.org/10.3390/rs15245709">https://doi.org/10.3390/rs15245709</a></p> <p>Description of contents: </p> <p>xView-YOLOv3_Model6_Barcelona_weights.pt</p> <p>This file contains the pre-trained weights for the xView-YOLOv3 model (model code available here: https://github.com/ultralytics/xview-yolov3). These weights were trained on a manually created training data set of vehicles present in WorldView 2/3 imagery covering the city of Barcelona. The weights relate to Model 6 set up: a single vehicle class (parked, static and moving), RGB imagery, Barcelona training data set derived anchor boxes, 1500 x 1500 pixel sized images and to 1000 epochs. </p> <p> </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.