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7,378 results for “case”
Fig. 1 in Why many Indonesian marine species remain undescribed: a case study using polychaete species discovery
Fig. 1. The cumulative number of Indonesian polychaete species described (the black solid line), projected to the end of the 21st century with a 95% probability. The upper and lower red dashed lines, as well as the red solid line, are the projected species discovery trends assuming great, little, and medium taxonomic efforts, respectively, being made to shift the pre-existing trend.
metaGOflow: a workflow for the analysis of marine Genomic Observatories shotgun metagenomics data - use case
<p>Data products returned by <a href="https://github.com/emo-bon/MetaGOflow">metaGOflow</a> (<a href="https://github.com/emo-bon/MetaGOflow/releases/tag/v1.0.0">v1.0.0</a>) and packed as a Research Object (RO) Crate, when performed with:</p> <ul> <li>a <strong>seawater metagenomic sample </strong>(TARA OCEAN, <a href="https://www.ebi.ac.uk/ena/browser/view/ERR599171">ERR599171</a>)</li> <li>a <strong>fish gut </strong>sample (<a href="https://www.ebi.ac.uk/ena/browser/view/ERR4765907">ERR4765907</a>)</li> <li>a<strong> human gut </strong>sample (<a href="https://www.ebi.ac.uk/ena/browser/view/SRR9654976">SRR9654976</a>)</li> </ul> <p>This Zenodo repo accompanies the metaGOflow paper and more about the analysis of this sample can be found there.</p> <p>You can also have a look at some visual components of the workflow at this <a href="https://data.emobon.embrc.eu/MetaGOflow/">GitHub page</a>. </p> <p>The source code of metaGOflow is available through <a href="http://github.com/emo-bon/MetaGOflow">GitHub</a>.</p>
oncoEnrichR use cases
<p><strong>Use case analyses - oncoEnrichR</strong></p> <p>This Zenodo repository hosts two use case output reports from <a href="https://github.com/sigven/oncoEnrichR">oncoEnrichR</a>, a dedicated tool for geneset interpretation in cancer.</p> <p>Directory structure:</p> <ul> <li><strong><em>reports </em></strong>- holds pre-computed HTML reports and Excel woorkbooks for two use cases <ul> <li>FGFR1 network (protein proximity screen) <ul> <li><em>fgfr1_network_oncoEnrichR.v1.4.1.html</em></li> <li><em>fgfr1_network_oncoEnrichR.v1.4.1.xlsx</em></li> </ul> </li> <li>EGFRi drug resistance drivers (CRISPR screen) <ul> <li><em>egfr_drug_resistance_oncoEnrichR.v1.4.1.html</em></li> <li><em>egfr_drug_resistance_oncoEnrichR.v1.4.1.xlsx</em></li> </ul> </li> </ul> </li> </ul> <p> </p> <ul> <li><em><strong>input </strong></em>- holds input data for the two use cases<br> 1. fgfr1_network_input.tsv<br> 2. egfr_drug_resistance_input.tsv</li> </ul> <p> </p> <ul> <li><em><strong>docker</strong></em> - holds input and code for re-running use case analyses through<br> a Docker container <ul> <li>Instructions <ul> <li><a href="https://docs.docker.com/get-docker/">Install Docker</a> on your local computer/client (OS X/Linux)</li> <li>Download the <em>input</em> and <em>output</em> directory of the <em>docker</em> directory to your local computer/client</li> <li>Pull the Docker image with the following Docker command on the command-line: <ul> <li><em>docker pull sigven/oeusecase:latest</em></li> </ul> </li> <li>Run the use case analyses with the following Docker command: <ul> <li><em>docker run --rm -ti -v <LOCAL_DIRECTORY>/input:/input -v /LOCAL_DIRECTORY/output:/output sigven/oeusecase:latest</em></li> <li><strong>NOTE</strong>: replace <em>LOCAL_DIRECTORY</em> with the full path on your local computer where you have downloaded the <em>input</em> and <em>output</em> folders</li> <li>The above command will generate HTML reports and Excel workbooks for the two use cases in the <em>output</em> directory</li> </ul> </li> </ul> </li> </ul> </li> </ul>
Figures 10–12 in The first case of gynandromorphy in Centris pallida (Hymenoptera: Apidae: Centridini)
Figures 10–12. Apex of metasoma of Centris pallida Fox. 10. Gynandromorph. 11. Large morph male. 12. Female. Scale = 0.5 mm.
Figure 6–9 in The first case of gynandromorphy in Centris pallida (Hymenoptera: Apidae: Centridini)
Figure 6–9. Hind legs of gynandromorph of Centris pallida Fox. 6. Left hind leg in lateral view. 7. Left hind leg in medial view. 8. Right hind leg in medial view. 9. Right hind leg in lateral view. Left hind leg shows partial female, partial male characteristics; right hind leg shows all female characteristics. Scale = 1 mm for all figures.
Investigating the Use of AI-Generated Exercises for Beginner and Intermediate Programming Courses: A ChatGPT Case Study
<p>In recent years, artificial intelligence (AI) has been increasingly used in education and supports teachers in creating educational material and students in their learning progress. AI- driven learning support has recently been further strengthened by the release of ChatGPT, in which users can retrieve expla- nations for various concepts in a few minutes through chat. However, to what extent the use of AI models, such as ChatGPT, is suitable for the creation of didactically and content-wise good exercises for programming courses is not yet known. Therefore, in this paper, we investigate the use of AI-generated exercises for beginner and intermediate programming courses in higher education using ChatGPT. We created 12 exercise sheets with ChatGPT for a beginner to intermediate programming course focusing on the objects-first approach. We report our process, prompts, and experience using ChatGPT for this task and outline good practices we identified. The generated exercises are assessed and revised, primarily using ChatGPT, until they met the requirements of the programming course. We assessed the quality of these exercises by using them in our course as external teaching assignment at the University of Education Ludwigsburg and let the students evaluate them. Results indicate the quality of the generated exercises and the time-saving for creating them using ChatGPT. However, our experience showed that while it is fast to generate a good version of an exercise, almost every exercise requires minor manual changes to improve its quality.</p>
APPENDIX 12 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands
APPENDIX 12. — Relationships of accumulative species number with accumulative sampling efforts for eight largest islands.
FIG. 2 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands
FIG. 2. — Relationships of species richness with number of habitat types, area, elevation, shape irregularity, vegetative cover, and ISW for five bryophyte categories in 168 forest fragments of the Thousand Island Lake, China. The regression equations are derived from GLMMs. Note: ISW, the relative proportion of water within a circle of a diameter of 1000 m centered on a given island.
openENTRANCE - Case Study 7 - Power-to-Heat Demand Flexibility: Results
<p>In case study 7 of the openENTRANCE project, Plan4EU, an electricity dispatch model for Europe, is soft-linked to the Flexibility Function, an indirect demand response model, via Frigg, a novel framework for integrating realistic demand response in energy system analysis. This modelling setup is applied to analyse the role of power-to-heat demand flexibility (end-consumer demand response and heat storage) in the Danish electricity system of 2050. This dataset contains results as presented in the related project report.</p>
Carbon configurations dataset generated in "A systematic approach to generating accurate neural network potentials: the case of carbon"
<p>This dataset contains 60133 configurations of Carbon as generated in the paper "A systematic approach to generating accurate neural network potentials: the case of carbon". The configurations represent crystal structures containing only Carbon atoms, ranging from 16 to 200 atoms in the unit cell, with energy and forces calculated through density functional theory. Please refer to the original paper for more details about the generation procedure and simulation parameters.</p> <p>The dataset consists of a compressed archive containing a single .xyz file with all configurations, with lattice and energy information contained in the comment line, and one line per atom with positions and forces. Lengths are in Angstroms and energies in eV.</p>
Accounting for behaviour in fine-scale habitat selection: a case study highlighting methodological intricacies
<p>Data for the article “Accounting for behaviour in fine-scale habitat selection: a case study highlighting methodological intricacies”</p> <p>By LT Beumer, NMS Schmidt, J Pohle, J Signer, M Chimienti, JP Desforges, LH Hansen, SH Pedersen, DA Rudd, M Stelvig, FM van Beest</p> <p>The data set includes five files: A readme file describing the data files, and four data files accompanying the above publication.</p> <p>For further queries please contact Larissa T. Beumer: ltbeumer@gmail.com</p> <p> </p>
Results related to the case study 4 of the openENTRANCE project - SCOPE SD version 2023
<p>This dataset contains scenarios results for Case Study 4 of the openENTRANCE project.</p> <p>You can find additional information, including model results and case study setup, at Deliverable D6.2 of the openENTRANCE project at <a href="https://openentrance.eu/">openENTRANCE – open ENergy TRanstion ANalyses for a low-Carbon Economy</a>. </p> <p>Further information on the SCOPE SD model is given in: Frischmuth, F., Härtel, P.: Hydrogen sourcing strategies and cross-sectoral flexibility trade-offs in net-neutral energy scenarios for europe. Energy (2022). https://doi.org/10.1016/j.energy.2021.121598</p> <p>The data file follows the IAMC data format and the conventions established by the openENTRANCE project. See <a href="https://github.com/openENTRANCE/openentrance">https://github.com/openENTRANCE/openentrance</a> for details.</p> <p>Visit the openENTRANCE Scenario Explorer at <a href="https://data.ene.iiasa.ac.at/openentrance">https://data.ece.iiasa.ac.at/openentrance</a> for more information.</p> <p> </p>
Replication Data for "How Do Different Types of Testing Goals Affect Test Case Design?"
<p># Replication Data for "How Do Different Types of Testing Goals Affect Test Case Design?"</p> <p>## Overview</p> <p>Background: Test cases are designed in service of one or more goals, e.g., assessing functional correctness or performance. We lack a clear understanding of how specific goal types influence test design.</p> <p>Aims: We explore the relationship between types of testing goals and test design, including identification and importance of goal types, quantitative relations between goal types and test cases, and personal, organizational, methodological, and technological factors that may influence this relationship.</p> <p>Method: We have conducted both qualitative and quantitative analysis of interviews and a survey with software developers in various domains and of varying experience.</p> <p>Results: We identify nine goal types, and focus on correctness, reliability, and quality. We observe that test design for correctness forms a "default" design process that is modified when pursuing other goals. For the examined goal types, test cases tend to be simple, with many tests targeting a single goal and each test focusing on 1-2 goals at a time. Testers often start by using past tests as templates. Testing practices, tools, and system types of interest vary between goal types. Test design can be influenced by organization, process, and team makeup.</p> <p>Conclusions: This study provides a foundation for future research on test case design and testing goals.</p> <p>The paper can be found at http://greg4cr.github.io/pdf/23goals.pdf </p> <p>## Data Contained in This Package</p> <p>- thematic_coding.pdf</p> <p>This is the theme map created from the interview data. We extracted important statements from the interviews (codes) and clustered them into themes and sub-themes.</p> <p>- survey_responses.pdf</p> <p>This file contains all survey responses.</p> <p>Both interview and survey data has been anonymized to protect the privacy of the participants.</p>
Fig. 3 in Motor Stereotypic Behaviors In Zoo Rhesus Monkeys: A Case Study Of The Central Zoo, Kathmandu, Nepal
Fig. 3. Motor stereotypic behavior performed by the captive rhesus monkeys; A — under different time of the day; B — under different begging intensities (ns = statistically not significant difference).
Fig. 4. Probable relationship between the MSB and begging. A in Motor Stereotypic Behaviors In Zoo Rhesus Monkeys: A Case Study Of The Central Zoo, Kathmandu, Nepal
Fig. 4. Probable relationship between the MSB and begging. A — by controlling for sex of the captive monkeys; and, B — by controlling for the different probability of the visitor-monkey interaction (Min. — minutes).
Fig. 2 in Motor Stereotypic Behaviors In Zoo Rhesus Monkeys: A Case Study Of The Central Zoo, Kathmandu, Nepal
Fig. 2. Motor stereotypic behavior shown by the captive rhesus monkeys: A — difference between males and females; and B — on the basis of the different rearing histories (*** statistically significant difference).
Fig. 1 in Motor Stereotypic Behaviors In Zoo Rhesus Monkeys: A Case Study Of The Central Zoo, Kathmandu, Nepal
Fig. 1. Mean time invested on motor stereotypic behavior per focal sampling bout of 30 minutes by adult males and females (*** statistically significant difference).
Does social information affect the settlement decisions of resident birds in their second breeding attempt? A case study of the Japanese tit (Parus minor)
<p>Individuals may gather information about environmental conditions when deciding where to breed in order to maximize their lifetime fitness. Many studies have shown that birds can rely on social information to select their nest site. The location of active nests and the reproductive success of conspecifics and heterospecifics can provide accurate predictions about the quality of the breeding habitat. Some short-lived species can facultatively reproduce two and/or more times within a breeding season. However, few studies have focused on how multiple-brooding individuals select nest sites for their second breeding attempts. In this study, we use long-term data to test whether the Japanese tit (<em>Parus</em> <em>minor</em>) can use social information from conspecifics and/or heterospecifics to select a nest site for the second breeding attempt. Our results showed that the nest boxes occupied by tits on their second breeding attempt tended to be surrounded by more breeding conspecific nests, first-breeding successful conspecific nests, and fewer first-breeding failed conspecific nests than the nest boxes that remained unoccupied (the control group). However, the numbers of breeding heterospecific nests, successful heterospecific nests, and failed heterospecific nests did not differ between the nest boxes occupied by tits on their second breeding attempt and the unoccupied nest boxes. Furthermore, the tits with local successful breeding experience tended to choose areas with more first-breeding successful conspecific nests than those without successful breeding experience. Thus, we suggest that conspecifics' but not heterospecifics' social information within the same breeding season is the major factor influencing the nest site selection of Japanese tits during second breeding attempts.</p>
Open Access on GNSS Permanent Networks Data in Case of Disaster
<p>Earthquakes, as a natural phenomenon causing large physical and social destruction, are the subject of intensive research throughout the world. Spurred by the fact that in year 2020, two catastrophic earthquakes hit Croatia, in March with epicenter near Zagreb and December with epicenter near Petrinja, at the Faculty of Geodesy, University of Zagreb activities were initiated with the aim of strengthening the ability to react in these situations. Focus of those activities is on providing fast, adequate, and complete information on the disaster in the field of geodesy and geoinformatics. The research was focused on interpretation of kinematics of surface motion during the earthquake itself for what high rate permanent GNSS (Global Navigation Satellite System) network stations registrations are necessary. The Croatian earthquakes experience as well as the Mexico (June 2020) and Samosa earthquake (October 2020), pointed out, related to the use of high-rate registration GNSS data, that the primary problem in the use of this data is open access to the data itself. That is why this study has been launched - to gain a global picture of the availability of data from permanent GNSS networks around the world. The research included the collection and processing of information on open access policies for permanent GNSS networks data in the event of natural disasters with an emphasis on earthquakes. A global survey of institutions around the world responsible for managing GNSS permanent networks has been conducted. The survey contains three groups of questions that include general information on the type of permanent networks, models of access to network data and the readiness of countries to reach an international agreement on the opening data of the GNSS network in the event of a disaster. The results indicated that a high percentage of countries participating in the survey were ready to agree to open the data and introduce a common international portal through which scientists and researchers would be able to download GNSS permanent network data free of charge in the event of natural disasters.</p>
Data underlying the article: 3DDPDs: Describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors
<p>This repository contains the datasets and results supporting the conclusions of the manuscript "<strong>3DDPDs: Describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors</strong>". </p> <p>Publicly available data is not included in this repository. The source code to generate the results gathered here can be found on GitHub (https://github.com/CDDLeiden/3ddpd). </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.