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Figure 3 in Diversity of sarcosaprophagous dipterans (Insecta: Diptera) associated with street markets in the semiarid of northeastern Brazil
Figure 3. Sex ratio of specimens sampled in an urban environment of Toritama city, Pernambuco state, Brazil, by treatments (before the fair and after the fair). / Proporción de sexos de ejemplares muestreados en un ambiente urbano de la ciudad de Toritama, estado de Pernambuco, Brasil, por tratamientos (antes y después de la feria).
Figure 2 in Scientific Opinion on a notification (reference C/NL/09/02) for the placing on the market of the genetically modified carnation IFD-26407-2 with a modified colour, for import of cut flowers for ornamental use, under Part C of Directive 2001/18/EC from Florigene
Figure 2. - Neobythites bimarginatus. Pelvic-fin length and horizontal eye diameter showing negative allometric growth.
Figure 1 in Scientific Opinion on a notification (reference C/NL/09/02) for the placing on the market of the genetically modified carnation IFD-26407-2 with a modified colour, for import of cut flowers for ornamental use, under Part C of Directive 2001/18/EC from Florigene
Figure 1. - Neobythites bimarginatus Fourmanoir & Rivaton, 1979. SAIAB 189024, SL 122 mm. From off Madagascar (photo M. Krag, ZMUC).
FIGURE 2 in Urban market amplifies strong species selectivity in Amazonian artisanal fisheries
FIGURE 2 | The most important 20 fish species by total biomass caught, in descending order, split by season. These species represent 90% of the total biomass caught.
FIGURE 5 in Urban market amplifies strong species selectivity in Amazonian artisanal fisheries
FIGURE 5 | Fish species diversity caught by rural artisanal fishers on the Rio Purus. Fishing catches to be sold were less diverse than those to be consumed. Trips were classified based on whether the stated intention by the fisher was to sell, for household consumption or both. The Shannon's diversity index, calculated per fishing trip, is shown.
FIGURE 4 in Urban market amplifies strong species selectivity in Amazonian artisanal fisheries
FIGURE 4 | Fish species rank curve (by percentage biomass), during the (A) high-water and (B) low-water seasons. (A) Mylossoma albiscopum and Colossoma macropomum dominate high water catches, both for sale only (red) and for both sale and consumption (black). These species are also both important in catches for consumption only (green), but Pimelodus blochii is the most important species in this category. (B) Arapaima gigas dominates low-water season commercial fish catches (red), Osteoglossum bicirrhosum in catches for both consumption and sale (black), and Mylossoma albiscopum (=M. duriventre) and Triportheus angulatus in catches for consumption only.
FIGURE 3 in Urban market amplifies strong species selectivity in Amazonian artisanal fisheries
FIGURE 3 | Fish assemblages vary markedly by (A) hydrological season and (B) geographical remoteness, shown by NMDS (Non-metric Multidimensional Scaling) graphs. Based on similarity analysis of seasonal fish assemblages. Less-remote communities are those <600 km fluvial travel distance from Manaus, which receive visits by Manaus-based boats that purchase fish and deposit ice at least weekly, while more-remote communities are those> 600 km fluvial travel distance from Manaus that do not.
Actors and Satellites in the African Earth Observations Sector: Insights from the 2021 Radiant Earth ML for EO Market Map and the Union of Concerned Scientists Database
<p>The database of organizational actors, "Actors and Satellites in the African Earth Observations Sector: Insights from the 2021 Radiant Earth ML for EO Market Map and the Union of Concerned Scientists Database" analyzed in "<span>Whose Priorities? Examining Inequities in Earth </span><span>Observation Advancements Across Africa" </span>this study, is available on Zenodo, an open-access repository developed under the European OpenAIRE program. The dataset comprises information on 310 space-centric earth observation organizations, including headquarters locations. For the 31 organizations in our sample, we provide additional details including the African countries where their projects are active, the type of initiative or program, other focus areas, organizational classification (commercial, government, or nongovernmental), funding source (public or private), organizational type (research, startup, or established industry), capabilities (data analysis, data storage, image labeling, competition platforms), involvement in early warning systems, data accessibility, availability of global products, and whether they build commercial satellites.</p> <p>This open sharing of the compiled organizational data aims to promote transparency, reproducibility, and additional investigations into the evolving landscape of earth observation activities globally and across Africa. Analyses of this dataset's relationships, funding flows, and priorities can provide further insights to guide equitable advancement of earth observation capabilities.</p>
Delphi Study Data: Rounds 1 and 2 for Enhancing Efficiency and Transparency in Ghana's Rental Housing Market
<p><span>The dataset includes responses from two rounds of a Delphi study conducted among experts in the real estate sector, policymakers, and government officials in Ghana. The data captures both quantitative and qualitative insights on factors influencing rental housing decisions.</span></p> <ul> <li><span>Round 1</span><span>: Initial ratings of factors such as rental cost, proximity to work, landlord responsiveness, and availability of amenities.</span></li> <li><span>Round 2</span><span>: Pairwise comparisons of the top factors identified in Round 1, used for AHP analysis to determine their relative importance.</span></li> </ul>
D6.3 - Outputs of the assessment of the biodiversity loss induced by the soy commodities market between Brazil and the European Union
<p><span>This dataset compiles the results of an assessment of biodiversity loss caused by the soy commodities trade between Brazil and the European Union from 2004 to 2020. The file “SM” refers to supplementary material. The file “POA1” contains biodiversity loss characterisation factors for land occupation and land transformation, estimated based on CLEVER D2.4. The file “POA2” includes indicators of biodiversity loss due to soy cultivation in Brazil at the municipality level. Finally, the file “POA3” presents the biodiversity footprint of the Brazilian soy commodities traded in the European Union.</span></p>
Data set on Consumer buying behaviour of Cause-related marketing
<p>The dataset consists of Consumer buying behaviour of FMCG products in connection with cause-related marketing.Dataset is based on questionnaire having thirteen five point scale likert scale statements along with the demographic variables.The questionnaire is drafted based on factors contributing to consumer buying behaviour of cause-related marketing such as information available on product packaging,Brand image and Celebrity endorsement.The responses of likert scale statements were in the form of 'Strongly Agree', 'Agree', Neutral', 'Disagree', Strongly Disagree', and they were coded as 5,4,3,2,1 respectively for positive statements and 1,2,3,4,5 respectively for negative statements.</p>
Colonial trade linkages: Trade policy and imports in South and Southeast Asia colonial markets (1874-1913).
Open the record for dataset details and reuse information.
Data set on corporate image of fast-moving consumer goods concerning cause-related marketing
<p>The dataset consists of Corporate image of fast-moving consumer goods in connection with cause-related marketing.Dataset is based on questionnaire having thirteen five point scale likert scale statements along with the demographic variables.The questionnaire is drafted based on factors contributing to corporate image of fast-moving consumer goods concerning cause-related marketing such as consumer cause identification,Type of cause-related marketing campaigns,Guilt appeal and Inferred motive.The responses of likert scale statements were in the form of 'Strongly Agree', 'Agree', Neutral', 'Disagree', Strongly Disagree', and they were coded as 5,4,3,2,1 respectively for positive statements and 1,2,3,4,5 respectively for negative statements</p>
Safeguarding the energy transition against political backlash to carbon markets - figure raw data
<p>Figure raw data for the article "Safeguarding the energy transition against political backlash to carbon markets" (published in Nature Energy).</p>
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).
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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)
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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.