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621 results for “methodologies”
FIGURE 1 in New species of Pseudonereis Kinberg, 1865 (Polychaeta: Nereididae) from the Atlantic Ocean, and a review of paragnath morphology and methodology
FIGURE 1. Proposal of division of pharyngeal midventral area. A, Kinberg's drawings of ventral pharynx of Perinereis novaehollandiae (9C.) and Mastigonereis spinosa (10C.), showing the area VII and VIII as originally was intended; gray areas are intended to highlight midventral area in white. B, midventral area, composed of the areas III, VII and four subareas of area VIII; areas VII and VIII subdivided in furrow (lowercase letters) and ridge (uppercase letters) regions from both left (suffix l) and right (suffix r). A redrawn from Kinberg (1910).
FIGURE 4 in New species of Pseudonereis Kinberg, 1865 (Polychaeta: Nereididae) from the Atlantic Ocean, and a review of paragnath morphology and methodology
FIGURE 4. Longitudinal distribution of paragnaths in the furrow and ridge regions. A, Neanthes cf. acuminata (ECOSUR P2936), showing the longitudinal alignment of paragnaths. B, same, diagram of the distribution of paragnaths in a pharynx fully everted. C, Nereis pelagica (ECOSUR P2840), showing the irregular distribution of paragnaths. D, same, diagram showing the paragnaths longitudinally aligned, paragnaths of the same color belong to the same longitudinal row. E, same, diagram showing longitudinal rows obtained when connecting the dots (paragnaths) of the same row.
FIGURE 11 in New species of Pseudonereis Kinberg, 1865 (Polychaeta: Nereididae) from the Atlantic Ocean, and a review of paragnath morphology and methodology
FIGURE 11. Paragnaths arrangement in Perinereis cariboea de León-González & Solís-Weiss, 1998. A, dissected pharynx of the holotype (USNM 180694). B, pharynx of non-type specimen (ECOSUR 2934), ventral view. C, pharynx partially everted of non-type specimen (ECOSUR 2933), ventral view; arrows point to the paragnaths of the second band. Scale bars: A, 0.1 mm; B, C, 0.5 mm.
Summary for Policymakers of the Assessment Report on Biodiversity and Ecosystem Services for Africa: Appendix 1.1 Methodology for Figure SPM.2
<p>Appendix 1.1 Methodology for Figure SPM.2</p>
Datos de identificación y aspectos metodológicos de los estudios seleccionados/ Identification data and methodological aspects of the selected studies
<p>Datos de identificación y aspectos metodológicos de los estudios seleccionados/ Identification data and methodological aspects of the selected studies</p> <p><span>Una década de investigación sobre la eficacia de las prácticas de educación inclusiva y el DUA en la universidad. </span><span>Revisión sistemática de la literatura.</span></p> <p><em><span>A decade of research on the effectiveness of inclusive education practices and UDL in universities. Systematic literature review.</span></em></p> <p><span><span>María Pineda-Martínez</span></span></p>
Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images
<p>Supplementary materials v2 for the article Unagaev A, Korotkova I and Efremova N. "Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic and regional statistical information"<br> </p>
Identification of crashworthy designs combining active learning and the solution space methodology - Validation and training dataset
<p>Dataset and Python codes for training a crashworthiness classifier.</p>
Dataset from literature review of the paper "A Classification and Interpretation of Methodological Approaches to Pursue Natural Capital Valuation in Forest Research"
<p>This is a dataset of papers used for the analysis of the literature review of the paper "A Classification and Interpretation of Methodological Approaches to Pursue Natural Capital Valuation in Forest Research". The paper was acceped in the FORESTS Journal on 25th September 2024. </p> <p> The papers selected for the review were collated in a spreadsheet and coded using an inductive approach by considering the goals, methods, and typologies of natural capital (NC) approaches implemented in each case study. We have formulated a subjective classification of NC approaches that suits the reviewed case studies and builds on the knowledge summarised in the guidance suite “Enabling a Natural Capital Approach” (ENCA), produced by the UK Gov to help policy and decision makers when considering NC values.</p> <p>Codes used, as reported in the Excel file, are the following:</p> <ol> <li> Authors 2. Title of the publication 3. Journal/book 4. Goal<br>5. Methods 6. Details of the methods 7. NC approach classification 8. Provisioning services 9. Regulating services 10. Cultural services Location 11. Payment for ecosystem services 12. Country 13. Location 14. Policy goal 15. Theme </li> </ol> <p> </p> <p> </p> <p> </p>
Methodology
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Data from: Divergent estimates of herd-wide caribou calf survival: ecological factors and methodological biases
Population monitoring is a critical part of effective wildlife management, but methods are prone to biases that can hinder our ability to accurately track changes in populations through time. Calf survival plays an important role in ungulate population dynamics and can be monitored using telemetry and herd composition surveys. These methods, however, are susceptible to unrepresentative sampling and violations of the assumption of equal detectability, respectively. Here we capitalized on 55 herd-wide estimates of woodland caribou (Rangifer tarandus caribou) calf survival in Newfoundland, Canada using telemetry (n = 1,175 calves) and 252 herd-wide estimates of calf:cow ratios (C:C) using herd composition surveys to investigate these potential biases. These data included 17 herd-wide estimates replicated from both methods concurrently (n = 448 calves and n =17 surveys) which we used to understand which processes and sampling biases contributed to disagreement between estimates of herd-wide calf survival. We used Cox proportional hazards models to determine if estimates of calf mortality risk were biased by the date a calf was collared. We also used linear mixed effects models to determine if estimates of C:C ratios were biased by survey date and herd size. We found that calves collared later in the calving season had a higher mortality risk and that C:C tended to be higher for surveys conducted later in the autumn. When we used these relationships to modify estimates of herd-wide calf survival derived from telemetry and herd composition surveys concurrently, we found that formerly disparate estimates of woodland caribou calf survival now overlapped (within a 95% confidence interval) in a majority of cases. Our case study highlights the potential of under-appreciated biases to impact our understanding of population dynamics and suggests ways that managers can limit the influence of these biases in the two widely applied methods for estimating herd-wide survival.
Data from: Tropical forests structure and diversity: a comparison of methodological choices
<p>1. Large-scale data compilation is increasing steadily in tropical forest research, but the lack of standardized methods for data collection limits drawing inference from large datasets and cross-biome analyses. Different inclusion methods and minimum tree diameter threshold are among these varying factors. To tackle this issue, we evaluated how different approaches for tree sampling affects our understanding of diversity and functioning in different tropical vegetation types.</p> <p>2. We used a unique dataset of 44 inventory plots (43.54 ha) encompassing an aridity gradient: evergreen moist forests, semideciduous and deciduous tropical forests. Data were collected using the by-tree inclusion method, in which, all stems are measured if the equivalent diameter of the tree reaches the minimum threshold. We simulated the impact of adopting different inclusion methods (by-stem and by-tree) and different minimum diameter thresholds on the estimation of number of trees and stems, biomass and species richness. We used linear mixed models to investigate the effect of minimum diameter threshold and inclusion method on our different response variables. We also evaluated species chance to be sampled under different minimum inclusion criteria.</p> <p>3. Inclusion method and minimum diameter threshold mainly affect the estimation of number of trees and stems and species richness, especially in deciduous and semideciduous forests, where resprouting is a prevalent strategy. In these forests, many trees that have several stems do not reach the minimum size individually when adopting the by-stem method, yet they do reach the minimum size threshold when all stems are considered together. For these environments under water stress, our analysis showed that using large minimum sizes, such as the 10 cm typically used in rainforests, implies large sampling losses, especially when used jointly with the by-stem inclusion method.</p> <p>4. The by-tree inclusion method represents an alternative approach that offers a more reliable sampling in different vegetation types, particularly in those habitats where resprouting is a widely encountered strategy along all age classes. We demonstrate the infeasibility of adopting broad and standard minimum thresholds for different tropical vegetation types, particularly considering their widely different ecological strategies.</p>
Figure 1 in Biogeographic regions of Central Argentina based on snake distribution: evaluating two different methodological approaches
Figure 1. Córdoba province, its location in Argentina and its phytogeographic areas (modified from Luti et al. 1979).
Figure 3 in Biogeographic regions of Central Argentina based on snake distribution: evaluating two different methodological approaches
Figure 3. Areas resulting from analysis using the NDM software. (A) Area 1, Chaco Serrano; (B) Area 2, Chaco; (C) Area 3, Chaco plus Espinal; and (D) Area 4, Chaco plus Pampas region.
Figure 2 in Biogeographic regions of Central Argentina based on snake distribution: evaluating two different methodological approaches
Figure 2. Dendrogram and areas resulting from cluster analysis. (A) Bray–Curtis similarity dendrogram: light grey, Chaco Serrano; dark grey, Eastern Chaco; diagonal lines, Western Chaco; dotted area, Pampas (or Pampas plus Espinal). (B) Map showing the areas resulting from Custer analysis: light grey, Chaco Serrano; dark grey, Eastern Chaco; diagonal lines, Western Chaco; dotted area, Pampas.
Applying the double observer methodology for assessing blue sheep population size in Nar Phu Valley, Annapurna Conservation Area, Nepal
<p>This study was undertaken in spring, 2019 to assess the applicability of the Double-Observer survey method for estimating blue sheep <i>Pseudois nayaur</i> abundance in Nar-Phu valley of Manang District located in Annapurna Conservation Area of northern Nepal. Since counting large mammals in rugged mountain habitat poses a special challenge, we tested the efficacy of the Double Observer method for generating robust population estimates for this important protected area. The overall detection probability for observers (O1 and O2) was 0.94 and 0.91 for a total of 106 groups comprised of 2,059 individual blue sheep. We estimated the area's blue sheep population at 2,070 (SE<span> ±</span>168.77; 95% CI 2,059 – 2,405) for the 246.2 km² of sampled habitat. We determined blue sheep to be widely distributed within the study area with a mean density of 8.4 individuals per km<sup>2</sup> based on a total study area of 246.2 km<sup>2</sup>. We discuss demographic population structure and identify limitations when applying the <i>Double Observer</i> approach, along with recommending viewshed mapping for ensuring more robust density estimates of mountain-dwelling ungulates like blue sheep or ibex that inhabit extremely heterogeneous terrain which strongly influences sighting distances and overall animal detection rates.</p>
FIGURE 3. Sampling methodologies used for specimen collection. A in Updated checklist of semi-terrestrial and estuarine crabs (Crustacea: Decapoda: Brachyura) of Barbados, West Indies
FIGURE 3. Sampling methodologies used for specimen collection. A, Baited onion bag trap (0.95 m x 0.55 m; mesh size: 0.5 mm); B, Large crab trap (B:1.0 x 0.40 m; mesh size: 50 x 40 mm); C, Small cage crab trap (C: 0.5 x 0.2 m, mesh size: 30 x 15 mm); D, Hand nets (diameter: 60 mm; mesh size: 0.1 mm); E, Fruit bait outside of crab burrow.
Agile Methodologies in Cos4Cloud
<p>The drawing shows the bigger picture how agile methodologies were applied in the <a href="https://cos4cloud-eosc.eu/">H2020 Project Cos4Cloud</a>. It shows multiple cycles on different scales:</p> <ul> <li>Regular MvE (minimal viable environment) planning (project level): SciTech group and development teams maintain features of the whole system to ensure service integration and alignment to common goals.</li> <li>Co-design workshops (project level): Generate valuable user input and feedback for each service by using different methodologies from co-design.</li> <li>Iterative service development (development level): Each partner, doing actual development, tying development cadence with the project coordination, and incorporate input from regular feedback channels.</li> <li>Task Forces and Hackathons (development level): Individual partners develop and evaluate technical solutions needed throughout the project, e.g. an interoperable citizen science profile for the SensorThings API (STA plus extension), or solving integration challenges between different components.</li> </ul> <p>The SciTech and CoNNect group allocated time to report to each group at the start of each meeting. This ensured that all members were aware of all relevant activities of the other group. In particular, this became important when overarching development needed to be discussed or had evolved one step further towards the overall system.</p>
Tropical Cyclone Evaluation Methodology Dataset
<p>This dataset includes Automated Tropical Cyclone Forecast (ATCF) format ASCII files. These data are a subset of files from the Hurricane Forecast Improvement project (HFIP) Stream 1.5 evaluation covering three years of retrospective forecasts from 2010-2012. The best track analysis (b-decks), operational baselines (a-deck), and experimental Stream1.5 model output included can be used as example data to perform tropical cyclone model forecast evaluations, following Brown et al, 2023: User-responsive diagnostic verification methods for evaluating tropical cyclone track and intensity forecasts.</p>
Test case selection through novel methodologies for software application developments
<p>Test case selection is to minimize the time and effort spent for software testing in real time practice. During the course of software testing, the software firms are in want of techniques to finish the testing in a stipulated time, whilst uncompromising on quality. The motto is to select subset of test cases rather to take up all available test cases to uncover most of the bugs. Clustering of test cases using ranking and also based on similarity coefficients is to be implemented. The experimented results have to show up the techniques proposed improving the catching up of errors in a comparatively shorter duration. In this research, eleven different features were considered in order to cluster the test cases. There are two methodologies implemented. In the first methodology, each cluster will cover set of specific features to a certain percentage. Depending on the feature's coverage, cluster of test cases can be selected. These clusters were formed using ranking methodology. In the second methodology, similarity among test cases based on eleven features is found. Then max-min composition is used to find fuzzy equivalences, upon which clusters are formed. Most similar test cases are clustered.</p>
Fig. 19 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids
Fig. 19. Synthesis of prenylated flavonoids 472–494 Reagents and conditions: (a): 3,3-dimethylallyl bromide, 10% KOH; (b): MOMCl, K CO, acetone, 0 ◦ C - RT; (c): 2 3 corresponding benzaldehyde, 10% KOH ethanol/H O, RT; (d): 5% HCl, MeOH/THF, reflux; (e) NaOAc, EtOH, reflux; (f) I, pyridine, 90 ◦ C.
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.