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Fig. 2 in Distribution of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) mitotypes in commercial cotton fields in the Punjab province of Pakistan
Fig. 2. Phylogenetic tree showing the relationship among members of the Bemisia tabaci complex found in Asia, based on the 3′-mitochondria cytochrome oxidase I gene (mtCOI-3′). All whiteflies collected for this study during 2014 to 2016, were identified as the Asia II-1 mitotype. The sequence of the Bemisia afer species was used as 'outgroup' to root the tree. The sequences in the upper-most collapsed clade clustered all of the sequences obtained in this study.
SUPER-G Benchmarking performance on commercial farms (task 3.1)
<p><span>The SUPER-<em>G </em>project aimed to co-develop sustainable Permanent Grassland (PG) systems and policies with farmers and policy makers to effectively optimise productivity whist supporting biodiversity and delivering other Ecosystem Services (ES). This was achieved through the completion of a series of Work Packages (WP). Work Package 3 aimed </span><span>to benchmark performance in terms of profitability and sustainability and the delivery of ES. This was achieved in part through </span><span>deliverable (D) D3.2, where an “</span><span>Overview of data, key gaps, and trends in PG management in the different biogeographic regions” was compiled. This overview included a survey of 352 farms across six biogeographic regions conducted in 2019, which explored on-farm management and differences between regions. A second, subsequent, survey was undertaken in 2023, which included 203 of the original farms from five biogeographic areas. Deliverable report 3.3. </span>describes the distribution of key indicators from farms surveyed in the first survey and describes any changes which were captured in the second survey. <span>A</span><span>gri-environment indicators and key sustainability indicators were identified in WP2 and include forage efficiency, grass utilisation (the proportion of grass dry matter grown that is consumed by livestock) and grass/clover dry matter (DM) productivity. Due to the limitations of how many questions can be asked in a survey and the time required to perform a survey, it was not possible to calculate all these metrics. This report examines the sustainability indicators of stocking density, grass production and output per hectare and environmental indicators of areas reserved for nature and biodiversity.</span></p> <p> </p> <p><span>The data files include the survey questions, responses from 2021 survey, responses from 2023 survey and a blank survey form. </span></p>
Colony forming unit (CFU) data accompanying publication: Bacterial microbiome dynamics in commercial integrated aquaculture systems growing Ulva in abalone effluent water.
<p>Excel sheet with colony forming unit (CFU) data from an abalone farm growing the green seaweed <em>Ulva </em>in abalone effluent water. This dataset characterises the bacterial communities isolated from abalone effluent water entering and leaving the <em>Ulva </em>raceways, as well as from <em>Ulva </em>itself. Dataset is accompanied by two SigmaPlot files showing statistical analyses (statistical outcomes also available in publication).</p>
Prey diversity in the deep ocean: metabarcoding feeding ecology of the commercially important queen snapper in the US Caribbean
<p>These data contains the raw information for the article " Prey diversity in the deep ocean: metabarcoding feeding</p> <p>ecology of the commercially important queen snapper in the US Caribbean"</p>
Linked collectors and determiners for: ABC Useful Plants of Malawi: Economical & Commercial.
Natural history specimen data linked to collectors and determiners held within, "ABC Useful Plants of Malawi: Economical & Commercial". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/da39fadf-94c9-4d9d-ba65-64750b58cfe7">https://bionomia.net/dataset/da39fadf-94c9-4d9d-ba65-64750b58cfe7</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/da39fadf-94c9-4d9d-ba65-64750b58cfe7">https://gbif.org/dataset/da39fadf-94c9-4d9d-ba65-64750b58cfe7</a>. Formatted as a Frictionless Data package.
OPTIMIZATION OF HEAT CONSUMPTION IN CENTRAL HEATING SYSTEMS AT COMMERCIAL FACILITIES
<p>Rising energy prices and stricter environmental regulations are exacerbating the problem of inefficient heat consumption in the commercial sector. Central heating systems of office buildings, shopping malls, and industrial complexes are often characterized by excessive thermal energy consumption, which leads to significant economic losses and a negative impact on the natural environment. The purpose of the study is to study the directions and trends of optimization in the field under consideration (taking into account modern technological capabilities, and economic factors).</p> <p>There are disagreements in the professional community about the priority of measures to improve energy efficiency: some experts prefer improving the thermal insulation of buildings, others — the introduction of intelligent control systems, and others — the integration of renewable energy sources. The present study demonstrates that the greatest effect is achieved with a systematic approach combining various initiatives.</p> <p>The conclusion is formulated that in the current conditions and the future, a comprehensive application of modern thermal insulation materials, highly efficient heating equipment, intelligent management mechanisms, and alternative energy sources is required.</p> <p>The article is of interest to engineers-designers of heating systems, energy managers of commercial facilities, specialists in energy efficiency of buildings, and heads of companies interested in optimizing operating costs and improving the environmental friendliness of their real estate.</p>
FIG. 1 in Commercial zooarchaeology of the 'modern' era: a survey of attitudes and practices
FIG. 1. – Has the company you carry out work for ever excavated sites with contexts dated after AD 1750?
FIG. 8 in Commercial zooarchaeology of the 'modern' era: a survey of attitudes and practices
FIG. 8. – Are you ever presented with faunal assemblages for analysis from urban contexts dating after AD 1750?
FIG. 3 in Commercial zooarchaeology of the 'modern' era: a survey of attitudes and practices
FIG. 3. – Are you ever involved with the planning of excavation and analysis strategies for sites with 'modern' era material?
FIG. 9 in Commercial zooarchaeology of the 'modern' era: a survey of attitudes and practices
FIG. 9. – If you are presented with assemblages from urban contexts dating from 1750 or later, is it a routine practice of the commercial company, or is it exceptional? If exceptional, what criteria are used for making such a decision?
FIG. 11 in Nineteenth-century butchery and transport for a market economy: Plum Grove as a case study for commercial transactions in the Midwestern USA
FIG. 11. – Distal measurements of right cattle metatarsals (following von den Driesch 1976). Elements from immature individuals (un- fused) are here included with those from mature individuals (fused, with fusion taking place between 2-2.5 years of age [Grigson 1982: 22]). The division in size between older, smaller individuals and younger, larger ones may also represent a break between older females and younger males (figure created by Cerisa R. Reynolds).
FIG. 10 in Nineteenth-century butchery and transport for a market economy: Plum Grove as a case study for commercial transactions in the Midwestern USA
FIG. 10. – Each cattle skull from within Plum Grove's Bone Feature exhibits impact fractures indicative of blunt force trauma, indicating that each individual was killed in the same manner. These impact fractures are clearly visible in this photograph of five of the Fea- ture's cattle skulls (photograph courtesy of William E. Whittaker).
FIG. 3 in Nineteenth-century butchery and transport for a market economy: Plum Grove as a case study for commercial transactions in the Midwestern USA
FIG. 3. – Project location in relation the to surrounding topography, highlighting Plum Grove's location within Iowa City as well as Iowa City's location within the state of Iowa. Base map is aerial photo- graph from ISUGISSRF (2011); figure created by Bryan Kendall.
FIG. 1 in Nineteenth-century butchery and transport for a market economy: Plum Grove as a case study for commercial transactions in the Midwestern USA
FIG. 1. – Map of the contiguous U.S., with the main course of the Mississippi River highlighted in a thicker grey line. As the site this paper focuses on is located in Iowa City, Iowa, this city is also identified here as a grey circle (map from United-States-Map.com; modified by Cerisa R. Reynolds).
FIG. 2. – A in Nineteenth-century butchery and transport for a market economy: Plum Grove as a case study for commercial transactions in the Midwestern USA
FIG. 2. – A map of railways across the contiguous United States in 1870, with Iowa City, Iowa, and Chicago, Illinois, highlighted (map from http://www.latinamericanstudies.org/19-century/railroads-1870.jpg; adapted by Cerisa R. Reynolds).
FIG. 6. – A in Nineteenth-century butchery and transport for a market economy: Plum Grove as a case study for commercial transactions in the Midwestern USA
FIG. 6. – A map of the Plum Grove Historic Farm house and the Bone Feature,identifying where unit excavations have been carried out and where testing indicates the extent of the Bone Feature. As is visible here, the Bone Feature is parallel to and runs to the east of the Plum Grove house (figure created by Bryan Kendall).
FIG. 5 in Nineteenth-century butchery and transport for a market economy: Plum Grove as a case study for commercial transactions in the Midwestern USA
FIG. 5. – The northern face of the Plum Grove house, taken in 2010. The Bone Feature discussed throughout this paper was identified roughly 4-5m east (here, to the left) of the house (photography courtesy of William E. Whittaker). Additional photographs of the site as well as digital reconstructions of the property as it would have looked at various times throughout history can be seen at: http://www.uiowa.edu/~plumgrov/index.html.
Figure 1 in Field application of six commercial essential oils against Date Palm mite, Phyllotetranychus aegypticus (Acari: Tenuipalpidae) in Egypt
Figure 1. The relationship (regression modeling at P = 0.05) between X (temperature recorded in spring, summer, and autumn), and Y (predicted value which representing mite populations before and after oil treatments). The line is the linear model, significant part till temperature ≤ 27 (which represents spring and autumn treatments). While the circle in the end part, temperature> 27.50 (representing effect of oil in summer) is not significant, P = 0.202ns.
Figure 5 in Field application of six commercial essential oils against Date Palm mite, Phyllotetranychus aegypticus (Acari: Tenuipalpidae) in Egypt
Figure 5. Independent-samples test of ordered alternatives (Jonckheere-Terpstra Test) on the relation between tested commercial essential oils of thyme, spearmint, jasmine, banana, camphor and clove across the temperature recorded in the field application 2018, at 0.05 significance level.
Figure 4 in Field application of six commercial essential oils against Date Palm mite, Phyllotetranychus aegypticus (Acari: Tenuipalpidae) in Egypt
Figure 4. Independent-samples median (Kolmogorov-Smirnov Test) resulted the distribution and the median of tested commercial essential oils of thyme, spearmint, jasmine, banana, camphor and clove across the three categories of season (spring, summer, and autumn), at 0.05 significance level.
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.