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3,225 results for “Case of study”
FIGURES 4A in How diverse are coccoid cyanobacteria? A case study of terrestrial habitats from the Atlantic Rainforest (São Paulo, Brazil)
FIGURES 4A. Coelosphaeriopsis sp. General aspect of a colony and detail of cells in individual envelopes (arrow).
A time-varying drought identification and frequency analyzation method: a case study of Jinsha River Basin
<p>The processed version of the site data, the monthly extreme value of each station from 1969 to 2018.</p>
Incipient speciation and the impact on taxonomic decision: a case study using a sky island sister species pair of stag beetle (Lucanus; Lucanidae)
<p class="BodyA">Species delimitation can be difficult when the divergence between focal taxa falls in the incipient stage of speciation, because conflicting results are expected among different data sets and the species limit may differ depending on the applied species concept. We studied the speciation history and investigated the impact on taxonomic decision when using different data types in a Taiwanese endemic sister species pair of stag beetle, <i>Lucanus miwai </i>and <i>L. yulaoensis</i>, from sky island habitats. We showed that the two geographical taxa can be diagnosed by male mandibular shape. We found two mitochondrial <i>co1</i> lineages with pairwise sequence divergence > 3 %; however, <i>L. miwai</i> may not be monophyletic. Our multispecies coalescent based species delimitation result using five nuclear loci supported the evolutionary independence of the two sister species, but the calculated values of genealogical divergence index (<i>gdi</i>) corresponded to the species delimitation ambiguous zone. We further showed that post divergence gene flow is unlikely. Our study demonstrates challenges in incipient species delineation, but shows the importance of understanding the speciation history and integrative approaches to reconcile seemingly conflicting results before making evolutionarily relevant taxonomic decisions.</p>
Data from: Socio-economic impacts of energy access through off-grid systems in rural communities: A case study of South-West Nigeria
<p><span><span>The development of resilient energy systems is important for sustainable cities and communities. However, in countries with insufficient national energy supply, electricity distributors rarely consider remote communities due to their distant settlement, low electricity demand and poor payment capabilities. The United Nations has set a goal to deliver universal energy access by 2030, hence, it has become imperative to deploy clean and affordable off-grid mini-grid solutions to previously abandoned communities. Access to energy in rural communities is expected to result in unlocking their economic potentials. This paper investigates the impact of a solar hybrid mini-grid on the socio-economic growth of local entrepreneurs in Gbamu Gbamu village, Nigeria. A total of 83 Micro and Small Enterprises has been surveyed, descriptive statistics, paired-sample t-test, cross-tabulation, and Chi-square test, were used to assess the performance of businesses before and after electrification. The outcomes include the number of business enterprises created, employment statistics, energy expenses and income generated. Regression analysis was conducted on the relationship between the average income generated by businesses and independent socio-economic variables such as gender, marital status, household size, age, education level, years of business establishment, hours of operation, building tenure, capital source, number of employees, generator ownership and the days of operation. </span></span></p>
F in The amphibians and reptiles of Nosy Be (NW Madagascar) and nearby islands: a case study of diversity and conservation of an insular fauna
F. 2. Species accumulation curves for all techniques combined amphibian and reptile species at RNI de Lokobe (Nosy Be) during 1993 and 1999 surveys.
F in The amphibians and reptiles of Nosy Be (NW Madagascar) and nearby islands: a case study of diversity and conservation of an insular fauna
F. 1. Location of Nosy Be and of the Réserve Naturelle Integrale (RNI) de Lokobe, and nearby islands. Map source: GIS Service of WWF-Antananarivo, based upon FTM (Foiben-Taosarintanin'i Madagascar/Institut Géographique et Hydrographique National) maps.
Supplementary material 1 from: van Deurs M, Moran NP, Schreiber Plet-Hansen K, Dinesen GE, Azour F, Carl H, Møller PR, Behrens JW (2021) Impacts of the invasive round goby (Neogobius melanostomus) on benthic invertebrate fauna: a case study from the Baltic Sea. NeoBiota 68: 19-30. https://doi.org/10.3897/neobiota.68.67340
S1. Sampling Areas (Figure S1); S2. Taxonomic Groupings S1; S3. Model Specifications (Table S2); S4. Sensitivity Analyses (Table S3, Figure S2)
Replication package for the paper "Do Comments follow Commenting Conventions? A case study in Java and Python"
<pre><code class="language-markdown"># RP-comment-convention-adherence-Java-Python Replication Package for the paper "Do Comments follow Commenting Conventions? A case study in Java and Python". It uses the dataset provided by Rani et.al.'s work [How to identify class comment types? A multi-language approach for class comment classification](https://github.com/poojaruhal/RP-class-comment-classification). ## Structure ``` RQ1/ RQ1_Java_Rules.xlsx RQ1_Python_Rules.xlsx RQ2/ RQ1_Java_Comments_Validated.xlsx RQ1_Python_Comments_Validated.xlsx Raw-projects/ Java_projects/ eclipse.zip guava.zip guice.zip hadoop.zip spark.zip vaadin.zip Python_projects/ django.zip ipython.zip Mailpile.zip pandas.zip pipenv.zip pytorch.zip requests.zip Style-guides ``` ## Contents of the Replication Package --- - **RQ1/** - contains the data used to answer RQ1 - `RQ1_Java_Rules.xlsx` - contains comment-related rules extracted from various Java style guidelines. Various tabs in the sheet represent the rules extracted from standard or project-specific guidelines. Oracle and Google are the standard guidelines, and the remaining are specific to the projects. - `RQ1_Python_Rules.xlsx` - contains comment-related rules extracted from various Python style guidelines. Various tabs in the sheet represent the rules extracted from standard or project-specific guidelines. PEP, Numpy, and Google are the standard guidelines and the remaining are specific to the projects. - **RQ2/** - contains the data used to answer RQ2 - `RQ2_Java_Comments_Validated.xlsx` - contains Java comment dataset used from the previous work and validated against the rules from their corresponding guidelines. Various tabs in the sheet represent various Java projects used in the work. The rows in each tab show the sample class comments used to validate against the rules. The rules are shown in the columns. - `RQ2_Python_Comments_Validated.xlsx` - contains Python comment dataset used from the previous work and validated against the rules from their corresponding guidelines. Various tabs in the sheet represent various Java projects used in the work. The rows in each tab show the sample class comments used to validate against the rules. The rules are shown in the columns. - **Raw-projects/** contains the raw projects of each language that are used to analyze class comments. - **Java_projects/** - `eclipse.zip` - Eclipse project downloaded from the GitHub. More detail about the project is on https://github.com/eclipse - `guava.zip` - Guava project downloaded from the GitHub. More detail about the project is on https://github.com/google/guava - `guice.zip` - Guice project downloaded from the GitHub. More detail about the project is on https://github.com/google/guice - `hadoop.zip` - Apache Hadoop project downloaded from the GitHub. More detail about the project is on https://github.com/apache/hadoop - `spark.zip` - Apache Hadoop project downloaded from the GitHub. More detail about the project is on https://github.com/apache/spark - `vaadin.zip` - Vaadin project downloaded from the GitHub. More detail about the project is on https://github.com/vaadin/framework - **Python_projects/** - `django.zip` - Django project downloaded from the GitHub. More detail about the project is on https://github.com/django. - `ipython.zip` - IPython project downloaded from the GitHub. More detail about the project is on https://github.com/ipython/ipython - `Mailpile.zip` - Mailpile project downloaded from the GitHub. More detail about the project is on https://github.com/mailpile/Mailpile - `pandas.zip` - pandas project downloaded from the GitHub. More detail about the project is on https://github.com/pandas-dev/pandas - `pipenv.zip` - Pipenv project downloaded from the GitHub. More detail about the project is on https://github.com/pypa/pipenv - `pytorch.zip` - PyTorch project downloaded from the GitHub. More detail about the project is on https://github.com/pytorch/pytorch - `requests.zip` - Requests project downloaded from the GitHub. More detail about the project is on https://github.com/psf/requests/ - **Style-guides/**- contains the style guidelines used for the selected projects. ---</code></pre> <p> </p>
Figure 24 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 24. Gammarus pisinnus sp. nov., holotype, male. A, pereopod 3; B, pereopod 4; C, pereopod 5; D, pereopod 6; E, pereopod 7; F, dactylus of pereopod 3; G, dactylus of pereopod 4; H, dactylus of pereopod 5; I, dactylus of pereopod 6; J, dactylus of pereopod 7.
Figure 20 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 20. Gammarus monticellus sp. nov., female. A, gnathopod 1; B, gnathopod 2; C, propodus of gnathopod 1; D, propodus of gnathopod 2.
Figure 17 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 17. Gammarus monticellus sp. nov., holotype, male. A, gnathopod 1; B, gnathopod 2; C, propodus of gnathopod 1; D, propodus of gnathopod 2.
Figure 14 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 14. Gammarus benignus sp. nov., female. A, gnathopod 1; B, gnathopod 2; C, propodus of gnathopod 1; D, propodus of gnathopod 2.
Figure 13 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 13. Gammarus benignus sp. nov., male, A–K; female, L–N. A, epimeral plate 1; B, epimeral plate 2; C, epimeral plate 3; D, urosomites (dorsal view); E, pleopod 1; F, pleopod 2; G, pleopod 3; H, uropod 1; I, uropod 2; J, uropod 3; K, telson; L, uropod 1; M, uropod 2; N, uropod 3.
Figure 11 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 11. Gammarus benignus sp. nov., holotype, male. A, gnathopod 1; B, gnathopod 2; C, propodus of gnathopod 1; D, propodus of gnathopod 2.
Figure 19 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 19. Gammarus monticellus sp. nov., male, A–K; female, L–N. A, epimeral plate 1; B, epimeral plate 2; C, epimeral plate 3; D, urosomites (dorsal view); E, pleopod 1; F, pleopod 2; G, pleopod 3; H, uropod 1; I, uropod 2; J, uropod 3; K, telson; L, uropod 1; M, uropod 2; N, uropod 3.
Figure 16 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 16. Gammarus monticellus sp. nov., holotype, male. A, head; B, antenna 1; C, aesthetascs of antenna 1; D, antenna 2; E, calceoli of antenna 2; F, upper lip; G, lower lip; H, left mandible; I, incisor of right mandible; J, maxilla 1; K, palp of right maxilla 1; L, maxilla 2; M, maxilliped.
Figure 8 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 8. Gammarus incoercitus sp. nov., female. A, gnathopod 1; B, gnathopod 2; C, propodus of gnathopod 1; D, propodus of gnathopod 2.
Figure 3. Maximum clade credibility chronogram inferred from a in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 3. Maximum clade credibility chronogram inferred from a relaxed clock model based on the cytochrome c oxidase subunit I data set. The type specimens for nominal species are underlined. Node bars represent 95% posterior credibility intervals for nodes of interest. 1, Gammarus incoercitus sp. nov.; 2, Gammarus benignus sp. nov.; 3, Gammarus shanxiensis; 4, Gammarus monticellus sp. nov.; 5, Gammarus pisinnus sp. nov.; 6, Gammarus clarus; 7, Gammarus nekkensis.
Figure 2 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 2. Bayesian tree inferred from the concatenated data set analysis. Names of terminal taxa include voucher numbers for ingroups. The type specimens for nominal species are underlined. Numbers above branches are posterior probabilities; numbers below branches are maximum likelihood bootstrap values. 1, Gammarus incoercitus sp. nov.; 2, Gammarus benignus sp. nov.; 3, Gammarus shanxiensis; 4, Gammarus monticellus sp. nov.; 5, Gammarus pisinnus sp. nov.; 6, Gammarus clarus; 7, Gammarus nekkensis.
Figure 15 in Diversification of low dispersal crustaceans through mountain uplift: a case study of Gammarus (Amphipoda: Gammaridae) with descriptions of four novel species
Figure 15. Gammarus benignus sp. nov., female. A, pereopod 3; B, pereopod 4; C, pereopod 5; D, pereopod 6; E, pereopod 7; F, telson; G, oostegite of gnathopod 2; H, oostegite of pereopod 3; I, oostegite of pereopod 4; J, oostegite of pereopod 5.
ScienceDex guides
Understand access before you commit
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.