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1,316 results for “Trade”
Supplementary material 2 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the four successive thresholds used to illustrate Figure 5: Explanation note: Component data are used to illustrate the structure of the subset of Bactrocera carambolae and Bactrocera dorsalis populations. The highest Betweenness-centrality is highlighted in blue.
Supplementary material 1 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the five successive thresholds used to illustrate Figure 4: Explanation note: Component data are used to illustrate the structure of the subset of Bactrocera carambolae populations. The Highest Betweenness-centrality is highlighted in blue.
Supplementary material 2 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure S2: Explanation note: Maximum likelihood tree, based the EF-1α gene dataset. Support values above branches are Maximum Likelihood Bootstrap values / Bayesian Posterior Probabilities. Scale bar indicates the number of substitutions per site. Species in the Oriental fruit fly complex are outlined in red.
Supplementary material 1 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure S1: Explanation note: Maximum likelihood tree, based the COI gene dataset. Support values above branches are Maximum Likelihood Bootstrap values / Bayesian Posterior Probabilities. Scale bar indicates the number of substitutions per site. Species in the Oriental fruit fly complex are outlined in red.
Supplementary material 4 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Comparisons among three different the individual admixture plots: Explanation note: Comparisons among the individual admixture plots of 289 individuals, for K = 3, considering correlated allele frequency, uncorrelated allele frequency, and missing data as recessive homozygotes for the null alleles, respectively.
Supplementary material 3 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure S3: Explanation note: Maximum likelihood tree, based the period gene dataset. Support values above branches are Maximum Likelihood Bootstrap values / Bayesian Posterior Probabilities. Scale bar indicates the number of substitutions per site. Species in the Oriental fruit fly complex are outlined in red.
Supplementary material 3 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the four successive thresholds used to illustrate Figure 6: Explanation note: Component data are used to illustrate the structure of the subset of the Salaya5 strain and wild populations. The highest Betweenness-centrality is highlighted in blue.
Supplementary material 1 from: D'Cruze N, Singh B, Morrison T, Schmidt-Burbach J, Macdonald DW, Mookerjee A (2015) A star attraction: The illegal trade in Indian Star Tortoises. Nature Conservation 13: 1-19. https://doi.org/10.3897/natureconservation.13.5625
Table S1. Table of the Indian Star Tortoise trade transactions (1975–2013): Explanation note: Table to show the Indian Star Tortoise trade transactions (1975-2013) as recorded by the Convention on International Trade in Endangered Species of Wild Fauna and Flora World Conservation Monitoring Centre (CITES WCMC) database (http://trade.cites.org/).
Supplementary material 1 from: Eschen R, Grégoire, JC, Hengeveld GM, de Hoop MB, Rigaux L, Potting RPJ (2015) Trade patterns of the tree nursery industry in Europe and changes following findings of citrus longhorn beetle, Anoplophora chinensis Forster. NeoBiota 26: 1-20. https://doi.org/10.3897/neobiota.26.8947
Table S1: Explanation note: Summary of dynamics of the import of Acer plants into the Netherlands in 1998–2012. The number of importing companies relates to the confirmed importers of Acer spp. HU indicates Hungary, AS indicates East-Asia and NZ indicates New Zealand.
Supplementary material 2 from: Eschen R, Grégoire, JC, Hengeveld GM, de Hoop MB, Rigaux L, Potting RPJ (2015) Trade patterns of the tree nursery industry in Europe and changes following findings of citrus longhorn beetle, Anoplophora chinensis Forster. NeoBiota 26: 1-20. https://doi.org/10.3897/neobiota.26.8947
Table S2: Explanation note: Summary of the intra-European trade in Acer plants from 138 producers in the Boskoop demarcated area in 2009, broken down by country.
Supplementary material 1 from: Mally R, Korycinska A, Agassiz DJL, Hall J, Hodgetts J, Nuss M (2015) Discovery of an unknown diversity of Leucinodes species damaging Solanaceae fruits in sub-Saharan Africa and moving in trade (Insecta, Lepidoptera, Pyraloidea). ZooKeys 472: 117-162. https://doi.org/10.3897/zookeys.472.8781
Overview of specimens intercepted in Great Britain by the Food and Environment Research Agency (Fera).:
A Dataset on Digital Trade Provisions
TAPED A Dataset on Digital Trade Provisions The TAPED (Trade Agreement Provisions on Electronic-commerce and Data) dataset seeks to comprehensively trace developments in the area of digital trade governance. The dataset includes a detailed mapping and coding of all preferential trade agreements (PTAs) that cover chapters, provisions, annexes and side documents that directly or indirectly regulate digital trade. TAPED covers more than 430 PTAs concluded since 2000. A total of 116 different items were coded, including provisions on digital trade, intellectual property, key services sectors, government procurement, trade in goods, as well as general and specific exceptions and new cross-cutting data economy issues. The codebook made available below explains in detail our methodology and the questions behind the coded items. The TAPED dataset was initially launched as part of the research project 'Governance of Big Data in Trade Agreements' and received funding from the Swiss National Science Foundation under the National Research Programme (NRP)75: Big Data (2017–2021). Instrumental in the creation of the dataset were in particular Dr Rodrigo Polanco, who was a postdoctoral fellow under the project, as well as Dr Rahel Schär. The scope and substance of the TAPED dataset were announced in 2020 with the publication: Mira Burri and Rodrigo Polanco, 'Digital Trade Provisions in Preferential Trade Agreements: Introducing a New Dataset', Journal of International Economic Law 23:1 (2020), 1-34. Currently, the TAPED dataset is continued, expanded and modified under the ERC Consolidator Grant project 'TRADE LAW 4.0: Trade Law for the Data-Driven Economy' (2021–2026), which is financed by the European Research Council and led by Mira Burri as a Principal Investigator. Versions of the TAPED dataset as of 2022 should be cited as: Mira Burri, Maria Vasquez Callo-Müller and Kholofelo Kugler, TAPED: Trade Agreement Provisions on Electronic Commerce and Data, available at: https://unilu.ch/taped with the date of retrieval.
Replication package for: Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System
<p>This package contains three folders: the Code folder, Results (or output) folder and the data folder. It also contains a document README.pdf . </p> <p>Part of the codes can be run with the data provided in the data folder, and have _outofbox in their name. Others can only run with confidential data - all details are provided in the README.pdf file.</p> <p>These are for the paper:</p> <p>Colmer, J., R. Martin, M. Muûls, and U.J. Wagner. Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System</p>
Excel code for: Trading off nature for nature-based solutions: The bioeconomics of forest management for wildlife, timber and carbon
<p>This dataset contains MS Excel spreadsheet code used to analyze an integrative model that illustrates the inherent trade-offs that will arise among the competing values for landscape space in a boreal forest ecosystem involving interactions among the main trophic compartments of an intact boreal ecosystem, aka "nature". The model accounts for carbon accumulation via biomass growth of forest trees (timber), carbon loss due to controls from moose herbivory that varies with moose population density (hunting), and soil carbon inputs and release, which together determine net ecosystem productivity (NEP), a measure of carbon sink strength of the ecosystem. We examine how controls on carbon dynamics are altered by forest management for timber harvest, and by moose hunting. We link the ecological dynamics with an economic analysis by assigning a price to carbon stored within the intact boreal forest ecosystem. We then weigh these carbon impacts against the economic benefits of timber production and hunting across a range of moose population densities. Combined, this carbon-bioeconomic program calculates the total ecosystem benefit of a modelled boreal forest system, providing a framework for examining how different forest harvest and moose densities influence the achievement of carbon storage targets, under different levels of carbon pricing.</p>
A test of the gleaner-opportunist trade-off among photosynthetic traits in Cryptophyte algae
<p>As photosynthetic producers, phytoplankton form the foundation of aquatic food webs. Understanding the relationships among photosynthetic traits in phytoplankton is essential to revealing how diversification of these traits allows phytoplankton to harvest energy from different light environments. We investigated whether the diversification of 15 species of cryptophytes, a phylum of phytoplankton with diverse light-capturing pigments, showed evidence of trade-offs among photosynthetic performance traits as predicted by the gleaner-opportunist resource exploitation framework. We constructed photosynthesis vs. irradiance (P-E) curves and rapid light curves (RLCs) to estimate parameters characterizing photosynthetic performance and electron transport rate. We inferred the evolutionary relationships among the 15 species with ultraconserved genomic elements and used a phylogenetically controlled approach to test for trade-offs. Contrary to our prediction, we observed a positive correlation between maximum photosynthetic rate, P<sub>max</sub>, and P-E α, an indicator of a species' sensitivity to increases in light intensity when light is a scarce resource. This result could not be explained by electron transfer traits, which were uncorrelated with photosynthetic rate. Together, our results suggest that ecological diversification of light exploitation in cryptophytes has escaped the constraints of a gleaner-opportunist tradeoff. Photosynthetic trade-offs may be context- or scale-dependent, thereby only emerging when investigated in situations different from the one used here. </p>
Effects of European emissions trading on the transformation of primary steelmaking: Assessment of economic and climate impacts in a case study from Germany
<p>Supplementary Information 1: This supporting information provides information on the modeling of material and energy flows for conventional and low-carbon steelmaking in an integrated steel mill. To this end, the production activities (unit processes) are provided. Also, information on the assessment of economic and climate impacts is included.</p> <p>Supplementary Information 2: This supporting information provides information on the main mechanisms of the European emissions trading system. Thereby, a focus is laid on regulations for the free allocation of EU allowances toward companies from the sectors with a high risk of carbon leakage. Additionally, the assessment and optimization models for designing favorable transformation pathways of integrated steel mills are provided. Also, the main assumptions and complementary results are provided.</p>
Global food shock and trade model
<p>Main code to run global food shock and agricultural trade model, supporting the results of Verschuur et al. (under review), "The impacts of polycrisis on global grain availability and prices".</p> <p>This includes:<br>1/ The calibration procedure per crop to quantify the calibration constants per trade flow given the present-day trade network<br>2/ The simulation analysis of various shocks, including:<br>-(i) 54 years of baseline yield variability;<br>-(ii) (i) + Ukraine war supply shock;<br>-(iii) (i) + Energy price shock;<br>-(iv) (i) + Trade bans;<br>-(v) (i) + all shocks combined</p> <p> </p> <p>All optimisation is written in Pyomo (<a href="https://www.pyomo.org/" rel="nofollow">https://www.pyomo.org/</a>) with HSL's MA27 as (non-linear) solver:<br><a href="https://github.com/coin-or-tools/ThirdParty-HSL">https://github.com/coin-or-tools/ThirdParty-HSL</a><br>Alternatively, one can run the code using the standard ipopt solver in Pyomo.<br><br>Software requirements:<br>-Python Python 3.9.12<br>-Tested on MacOS Monterey v12.2.1<br><br>Runtime:<br>-Calibration runtime depends on crop but around 1-2h.<br>-To run the shocks, runtime is around 15 minutes per modelled year.<br><br>Demo:<br>Alongside the code for the paper, we uploaded a small demo model based on the AGRODEP Spatial trade model developed by IFPRI (<a href="https://www.agrodep.org/models/agrodep-spatial-equilibrium-model" rel="nofollow">https://www.agrodep.org/models/agrodep-spatial-equilibrium-model</a>), which can help users to get familiar with spatial price equilibrium modelling. We have modified the original AGRODEP model to be in line with the trade cost formulation adopted in our paper. Runtime should be minutes.</p>
Dataset How promise breaking in trade rhetoric shapes attitudes toward bilateral US-China trade cooperation
Open the record for dataset details and reuse information.
Replication package for: "Trading stocks builds financial confidence and compresses the gender gap"
<p>This package contains replication files for results using experimental data from "Trading stocks builds financial confidence and compresses the gender gap" by Saumitra Jha and Moses Shayo, to be published in <em>The Economic Journal</em>.</p>
Supplementary material to Increasing health burdens driven by global trade induced air pollution
<p><span>Supplementary material to Increasing health burdens driven by global trade induced air pollution</span></p> <p><span>File Name: Supplementary Data 1 </span></p> <p><span>Description: The net flow tables of atmospheric emissions (kt) between worldwide regions in 2000, 2005, 2010, and 2015.</span></p> <p><span>File Name: Supplementary Data 2 </span></p> <p><span>Description: The PM2.5-related health burdens for all regions from 2000 to 2015 with confidence intervals</span></p> <p><span>File Name: Supplementary Data 3 </span></p> <p><span>Description: The contributions of different drivers to the changes in PM2.5-related health burdens for all regions from 2000 to 2015.</span></p>
ScienceDex guides
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.