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1,316 results for “Trade”
Fig. 2 in Trade in nautilus and other large marine molluscs as ornaments and decorations in Bali, Indonesia
Fig. 2. Large marine mollusc shells for sale in Bali, July 2014: A (i), (ii), (iii), and (iv) chambered nautilus Nautilus pompilius; B. Triton's trumpet Charonia tritonis; C. false trumpet Syrinx aruanus; D. horned helmet Cassis cornuta.
Fig. 6 in Collaborative monitoring of the ornamental trade of seahorses and pipefishes (Teleostei: Syngnathidae) in Brazil: Bahia State as a case study
Fig. 6. Number of fishers and of syngnathids captured for ornamental purposes in Salvador, Bahia, Brazil, from January/ 1997 to June/2005.
Fig. 5 in Collaborative monitoring of the ornamental trade of seahorses and pipefishes (Teleostei: Syngnathidae) in Brazil: Bahia State as a case study
Fig. 5. Number of days of collection and number of fishers involved in the syngnathid fishery in Salvador, Bahia, Brazil, from January/1997 to June/2005.
Fig. 1 in Collaborative monitoring of the ornamental trade of seahorses and pipefishes (Teleostei: Syngnathidae) in Brazil: Bahia State as a case study
Fig. 1. Map showing the Baía de Todos os Santos, the main area of collection of live syngnathids in Salvador, Bahia State, NE Brazil.
Fig. 3. a in Collaborative monitoring of the ornamental trade of seahorses and pipefishes (Teleostei: Syngnathidae) in Brazil: Bahia State as a case study
Fig. 3. a) Specimen of Micrognathus sp., Baía de Todos os Santos, Bahia State, Brazil. b) Specimen of Cosmocampus albirostris, Baía de Todos os Santos, Bahia State, Brazil. Photos: Cláudio L. S. Sampaio.
Fig. 4 in Collaborative monitoring of the ornamental trade of seahorses and pipefishes (Teleostei: Syngnathidae) in Brazil: Bahia State as a case study
Fig. 4. Hooka-diver using hand-nets to collect marine ornamental fishes. Baía de Todos os Santos, Bahia State, Brazil. Photo: Leo Dutra.
Datasets and OpenLCA foreground data processes for the article: Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment
<p>This data set contains the supplementary data sets (1-3) and exported foreground data processes from OpenLCA for the manuscript “Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment”, submitted to Nature Energy.</p> <p>This repository contains:</p> <ul> <li>Supplementary data set 1: Ancillary calculations and numerical values for HT-Aq DAC</li> <li>Supplementary data set 2: Ancillary calculations and numerical values for TSA DAC</li> <li>Supplementary data set 3: Ancillary calculations and numerical values shown in plots and table 3</li> <li>Foreground data from OpenLCA. OpenLCA process model for different cases of HT-Aq DAC and TSA DAC. To re-run the LCA calculations, OpenLCA (freeware) and the Ecoinvent 3.5 database (license required) need to be installed on a standard desktop computer or laptop with at least 8 GB RAM.</li> </ul>
Daphnia magna trade-off safety from UV radiation for food
<p><span><span><span><span><span><span><span><span><span><span><span>Research on diel vertical migration (DVM) is generally conducted at the population level, whereas few studies have focused on how individual animals behaviorally respond to threats when also having access to foraging opportunities. We utilized a 3-D tracking platform to record the swimming behavior of <i>Daphnia magna</i> exposed to ultraviolet radiation (UVR) in the presence or absence of a food patch. We analyzed the vertical position of individuals before and during UVR exposure and found that the presence of food reduced the average swimming depth during both sections of the trial. Since UVR is a strong driver of zooplankton behavior, our results highlight that biotic factors, such as food patches, have profound effects on both the amplitude and the frequency of avoidance behavior. In a broader context, the trade-off between threats and food adds to our understanding of the strength and variance of behavioral responses to threats, including DVM.</span></span></span></span></span></span></span></span></span></span></span></p>
Data supplement to "Aromatics and agriculture: A spatial approach to long-distance trade and the local economy of the Nabataeans"
<p>Data used to analyze the role of long-distance trade in the local agricultural economy of the Nabataeans, as described in Weaverdyck, E. J. S. forthcoming. "Aromatics and agriculture: A spatial approach to long-distance trade and the local economy of the Nabataeans." In S. von Reden (ed.). <em>Handbook of Ancient Afro-Eurasian Economies</em>, vol. 3. Oldenbourg: De Gruyter.</p> <p>Data sources are provided in the chapter.</p> <p>With the exception of runoff, environmental variables are rasters created using the focal statistics tool to sum the number of cells within a radius around each cell. They are named according to the following convention: f{radius}_{factor abbreviation}_{variable}.tif</p> <p>Factor abbreviations:</p> <table> <tbody> <tr> <td>A</td> <td>Aspect</td> </tr> <tr> <td>D</td> <td>DEV geomorphological land form</td> </tr> <tr> <td>H</td> <td>Hydrology</td> </tr> <tr> <td>S</td> <td>Slope</td> </tr> <tr> <td>T</td> <td>TPI geomorphological land form</td> </tr> </tbody> </table> <p>Of these environmental variables, the following were used as background variables in the MaxEnt models:</p> <table> <thead> <tr> <th scope="col">ASKP-LA</th> <th scope="col">WHS</th> </tr> </thead> <tbody> <tr> <td>f500_H_prec_soak</td> <td>f500_H_Runoff</td> </tr> <tr> <td>f500_T_Valley</td> <td>f5k_D_Ridge</td> </tr> <tr> <td>f5k_T_Ridge</td> <td>f5k_H_Runoff</td> </tr> <tr> <td>f5k_H_Runoff</td> <td>f500_D_UpperSlope_or_low_rise</td> </tr> <tr> <td>f5k_A_Northeast</td> <td>f5k_A_Southwest</td> </tr> <tr> <td>f500_D_UpperSlope_or_low_rise</td> <td>f500_D_Valley</td> </tr> <tr> <td>f5k_H_springs</td> <td> </td> </tr> <tr> <td>f5k_D_Ridge</td> <td> </td> </tr> <tr> <td>f5k_A_South</td> <td> </td> </tr> <tr> <td>f5k_A_Southwest</td> <td> </td> </tr> <tr> <td>f5k_A_Northwest</td> <td> </td> </tr> <tr> <td>f500_T_UpperSlope_or_low_rise</td> <td> </td> </tr> <tr> <td>f500_D_Lower_slope_or_shallow_valley</td> <td> </td> </tr> <tr> <td>f5k_A_North</td> <td> </td> </tr> </tbody> </table> <p> </p>
Cultivated alien plants with high invasion potential are more likely to be traded online in China
<p>Biological invasions have become a worldwide problem, and measures to efficiently prevent and control invasions are still being developed. Like many other parts of the world, China is undergoing a dramatic increase in plant invasions. Most of the currently 933 established (i.e., naturalized) plant species, of which 214 are categorized as invasive, have been introduced into China for cultivation. It is likely that many of those species are still being traded, particularly online, by plant nurseries. However, studies assessing whether naturalized and invasive species are currently being traded more or less than non-naturalized aliens are rare. We extracted online-trade information for 13,718 cultivated alien plant taxa on 1688.com, the largest website for domestic B2B in China. We analyzed how the presence in online-nursery catalogues, the number of online nurseries that offer the species for sale, and the product type (i.e., seeds, live plants and vegetative organs) differed among non-naturalized, naturalized non-invasive and invasive species. Compared to non-naturalized taxa, naturalized non-invasive and invasive taxa were 3.7 to 5.2 times more likely available for sale. Naturalized non-invasive and invasive taxa were more frequently offered as seeds by online nurseries, whereas non-naturalized taxa were more frequently offered as live plants. Based on these findings, we propose that, to reduce the further spread of invasive and potentially invasive plants, implementation of plant-trade regulations and a monitoring system of the online horticultural supply chain will be essential.</p>
SO2 and copper tolerance exhibit an evolutionary trade-off in Saccharomyces cerevisiae
<p>Copper tolerance and sulfite tolerance are two well-studied phenotypic traits of <em>Saccharomyces cerevisiae</em>. The genetic bases of these traits are derived from allelic expansion at the CUP1 locus and reciprocal translocation at the SSU1 locus, respectively. Previous work identified a negative association between sulfite and copper tolerance in <em>S. cerevisiae</em> wine yeasts. Here we probe the relationship between sulfite and copper tolerance and show that an increase in <em>CUP1</em> copy number does not impart copper tolerance in all <em>S. cerevisiae</em> wine yeast. Bulk-segregant QTL analysis was used to identify variance at <em>SSU1</em> as a causative factor in copper sensitivity, which was verified by reciprocal hemizygosity analysis in a strain carrying 20 copies of <em>CUP1</em>. Transcriptional and proteomic analysis demonstrated that <em>SSU1</em> over-expression did not suppress <em>CUP1</em> transcription or constrain protein production but suggested that <em>SSU1</em> overexpression induced sulfur limitation during exposure to copper. Finally, an <em>SSU1</em> over-expressing strain exhibited increased sensitivity to moderately elevated copper concentrations in sulfur-limited medium, demonstrating that <em>SSU1</em> over-expression burdens the sulfate assimilation pathway. Over-expression of MET 3/14/16, genes upstream of H<sub>2</sub>S production in the sulfate assimilation pathway increased the production of SO<sub>2</sub> and H<sub>2</sub>S but did not improve copper sensitivity in an <em>SSU1</em> overexpressing background. We conclude that copper and sulfite tolerance are conditional traits in <em>S. cerevisiae</em> and provide evidence of the metabolic basis for their mutual exclusivity. These findings suggest an evolutionary basis for the extreme amplification of <em>CUP1</em> observed in some yeasts.</p>
Fig. 3 in Invertebrate animals as a component of the traditional medicine trade in KwaZulu-Natal, South Africa
Fig. 3. Traditional healer's regalia. A, wrist-band from Pondoland made from shells of the gastropod Nerita albicilla (the black and white coloration symbolising the black and white components of many traditional remedies); B, diviner's necklace with glass beads and marine shells, Mtubatuba area, Zululand (Natal Museum 7147).
Fig. 2 in Invertebrate animals as a component of the traditional medicine trade in KwaZulu-Natal, South Africa
Fig. 2. Samples of invertebrate animals for sale in market. A, dried, live-collected chitons of the genera Chiton, Dinoplax and Onithochiton; B, ring cowries (Cypraea annulus), many with dried bodies inside; C, organ-pipe coral (Tubipora musica) from localities as much as 2000 km distant in northern Mozambique; D, starfish (Protoreaster lincki) collected alive in sheltered localities in Mozambique.
Fig. 1 in Invertebrate animals as a component of the traditional medicine trade in KwaZulu-Natal, South Africa
Fig. 1. Stalls in the Warwick Triangle market, Durban. A, typical stall selling a wide range of products, nearly all of animal origin; B, neatly organised stall of a Mozambican trader, displaying a range of animal products, many of tropical origin. Note Cypraea annulus head-bands in foreground.
Fig. 5. Traditional nomenclature - isongololo. A in Invertebrate animals as a component of the traditional medicine trade in KwaZulu-Natal, South Africa
Fig. 5. Traditional nomenclature - isongololo. A, isongololo, the well-known juliform millipedes and B, isongololo lasolwandle, the shell of the cephalopod mollusc Spirula spirula.
Fig. 4. Traditional nomenclature - imfinyezi. A, a in Invertebrate animals as a component of the traditional medicine trade in KwaZulu-Natal, South Africa
Fig. 4. Traditional nomenclature - imfinyezi. A, a chiton imfinyezi yasolwandle (Dinoplax sp.) and B, a pill millipede imfinyezi yentaba or imfinyezi yangaphandle (Sphaerotherium sp.), showing the superficially similar shape and body segmentation.
Early Australian petroleum trade data, 1903-1960
<p>Currently the main global emissions datasets (GCB, CDIAC, CEDS, etc.) do not include emissions from consumption of liquid fuels in Australia in the years before 1950 because of lacking data. As part of the <a href="https://www.globalcarbonproject.org/">Global Carbon Project</a>'s continued work to improve historical emissions estimates, this dataset presents physical quantities of petroleum commodities traded by Australia in the period 1903-1960. Given that the first commercial production of crude oil in Australia began after 1960 (<a href="https://web.archive.org/web/20221201002632/https://www.abs.gov.au/Ausstats/abs@.nsf/Previousproducts/1301.0Feature%20Article501988?opendocument&tabname=Summary&prodno=1301.0&issue=1988&num=&view=">source</a>), trade data is sufficient to estimate consumption, on the assumption that stock changes were minimal. Petroleum reported as "ships' stores" are taken to be sales of international bunker fuels.</p> <p>While Australia did produce some liquid fuels in this period from oil shale, this is categorised as a solid fuel, and generally secondary products of solid fuels are also categorised as solid fuels, despite being liquid. The scale of production from oil shale is unknown, but assumed to be relatively small.</p> <p>Note that some commodity types present in the dataset may be assumed not to be oxidised, e.g. petroleum jelly, and therefore not contributing to CO<sub>2</sub> emissions, and quantities of these commodities may not have been transcribed in all years. Further, for some years data for exports of domestically produced and foreign-produced commodities were transcribed separately, but for most years only the total exports were transcribed.</p> <p>The original PDF files from which data have been transcribed are also included. The data file indicates, for each record, the page number from which the record was obtained, counting the first page of the file as page 1 (as opposed to using printed page numbers). This allows verification, should that be desired. These reports are the annual "Oversea Trade" reports retrieved from the website of the Australian Bureau of Statistics (ABS) <a href="https://www.abs.gov.au/AUSSTATS/abs@.nsf/viewcontent?readform&view=ProductsbyReleaseDate&Action=expandview&num=1">here</a>. The 12-month period of reporting in most years is the Australian financial year, July through June, but in early years it was the calendar year. The 1913 edition was the final report for a calendar year, with the subsequent report being for the period July 1914 through June 1915. The latter report indicates that the six-month period between these two reports was published, but this was not located on the ABS website.</p> <p>The GCP's fossil CO<sub>2</sub> dataset is <a href="https://doi.org/10.5281/zenodo.5569234">documented here</a>. Comparison of derived emissions with those published by CDIAC in the period 1950-1960 indicate good agreement.</p>
Data and scripts for the study "Resilience of international trade to typhoon-related supply disruptions"
<p>This are the i) input data, ii) final output data, iii) python scripts to reproduce the figures of the study "Resilience of international trade to typhoon-related supply disruptions".</p> <p>i) Input data</p> <p>The input file "routes.nc" provides the geographic transportation network as described in the study.</p> <p>The input data "impacts_*.nc" are necessary to drive simulation runs using the agent-based economic network model Acclimate with the geographic transport network module. The implementation of Acclimate with the geographic transportation module is available as open source on https://github.com/acclimate/acclimate/tree/transport-module with identifier 10.5281/zenodo.7788859.</p> <p>To the derive the input data, the open source file "IBTrACS.WP.v04r00.nc" from IBTrACS as well the Acclimate impact-generator (https://github.com/acclimate/impactgen) is needed. An explanation on the algorithm is given in the study "Resilience of international trade to typhoon-related supply disruptions".</p> <p>ii) Final output</p> <p>The model Acclimate computes, based on the input data, the raw output data. The raw output have in total a volume of over 3.3 Terabyte. We can provide this raw data upon request. However, due to storage space limitations, we will provide in this repository only the regionally and sectorally aggregated output data that were used for the graphs in the paper. These data are described "blocs_*.nc" or "shorts_*.nc"</p> <p> </p> <p>iii) python scripts</p> <p>Using the given python scripts ("*.py" files), the figures of the study "Resilience of international trade to typhoon-related supply disruptions" can be reproduced. The needed input files for the scripts are given under "input data" or "final output". All necessary self-build functions are given in "lib.py" or "regionfinder.py".</p> <p> </p> <p>If any question arise, please contact Dr. Kilian Kuhla under kilian.kuhla@pik-potsdam.de .</p>
Migration Provisions in Preferential Trade Agreements (MITA) Dataset
<p>The MITA dataset is the broadest and most inclusive databases on preferential trade agreements with regard to migration. We include all international trade agreements that were signed between 1960 and 2020 and whose text is publicly available. This includes bilateral, plurilateral and regional agreements. We exclude framework agreements. We do not list accessions and withdrawals to existing agreements as they only constitute a change in the signing parties but not a change in an agreement’s provisions. Accordingly, we include consolidated PTAs that include additional migration provisions to the initial agreement. Signing parties can be countries but also group of countries such as regional and supranational organizations. Beside the main text of an agreement, we also take into account annexes and side-letters that are part of an agreement. To maximize the coverage of the database, we combined various data sources such as the World Trade Organization, the DESTA database (Dür et al., 2014) and websites of governments and intergovernmental organizations. As source data, we consider all text documents that are an integrated part of an agreement, such as the main text, annexes, side letters and additional protocols that were signed together with the main agreement.</p>
Insider trading regulation and trader migration
<p>The following is the supplementary material related to the article 'insider trading regulation and trader migration' published in the Journal of Financial Markets.</p>
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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)
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.