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5,510 results for “Foods”
Van Dijk et al. (2021), A meta-analysis of projected global food demand and population at risk of hunger for the period 2010–2050, data and scripts
<p>This repository contains all data and R scripts to reproduce the figures in Van Dijk et al. (2021), A meta-analysis of global food demand and population at risk of hunger projections for the period 2010-2050, Nature Food. More specifically, it includes two databases: (1) A database with standardized information to describe the characteristics of 57 studies that were identified by the systematic literature review and (2) The Global Food Security Projections Database v1.0.1 with harmonized projections for three global food security indicators: food consumption in kcal per capita and total kcal, and population at risk of hunger. The database also includes projections for total global population that are required to derive the global food security indicators.</p> <p>The two scripts (nf_figures.r and nf_meta_regression.r) can be used to reproduce the figures and tables in the main paper and the supplementary information. Please start with the first script, which sources the second script. </p> <p>This is the first version of the Global Food Projections Database. We expect to update the data, including additional studies and variables in the future. For issues and suggestions, please contact michiel.vandijk@wur.nl.</p> <p> </p>
Food riots and food prices in the Eastern Mediterranean (Bilād al-Shām) in the 19th and 20th centuries: a data set
<p>This is an archival release to document the state of the data set for this research project before it got severely derailed by the Covid-19 pandemic and the explosion in Beirut on 4 August 2020. Please consult the readme for a detailed description of the contents and workflows.</p>
Sub-national Water-Food-Labour Nexus in Colombia
<p>Poorer countries often face a severe trade-off: the need to improve socio-economic conditions is hard to balance with the maintenance of key ecological processes. As a case study, we select Colombia, a Latin American country with almost 10% of its inhabitants living in extreme poverty. We elaborate a<strong> water-food-labour (WFL) nexus</strong> grounded on a sub-national Environmentally Extended Input-Output (EEIO) analysis to assess the virtual water trade (VWT) and virtual informal labour (VIL) flows across administrative departments and economic sectors related to domestic trade.</p> <p>The main results are the following: high cross-departmental resource interdependence both in terms of VWT and VIL, rich departments highly depend on the resources of their neighbouring trading partners, extreme poverty conditions are shown by economically isolated departments, and considerable income inequality in the food production sectors. Moreover, departments that are net exporters of virtual water suffer from water stress that might be exacerbated by future high rainfall variability due to climate change. </p> <p>These results suggest that strategies to attain sustainable development goals (SDGs) must deal with the biophysical constraints and the economic and political feasibility of the proposed solutions. In this vein, we argue that a holistic framework, grounded on quantitative analyses, is necessary to support informed policy decisions for the simultaneous achievement of multiple (possibly contrasting) goals. Moreover, severe spatial imbalances call for local policy responses coordinated at the national level.</p>
Taste responsiveness and liking of model food samples
<p>This data sheet consisted of children's taste intensity perception and liking to model food samples of grapefruit juice and vegetable broth. In addition, children's responses regarding PROP responsiveness, food familiarity, stated liking, food choice, and neophobia were also reported in this data set. </p>
Qualitative dataset - Social justice-oriented narratives in European urban food strategies: Bringing forward redistribution, recognition and representation (Smaal et al., 2021)
<p>This qualitative dataset contains the English translations of the plain texts of the urban food strategy documents or webpages of 16 European medium-sized cities: Basel [CH]; Bristol [UK]; Bruges [BE]; Cordoba [ES]; Donostia - San Sebastián [ES]; Ede [NL]; Geneva [CH]; Ghent [BE]; Grenoble [FR]; Groningen [NL]; Montpellier [FR]; Nantes [FR]; Rennes [FR]; Tours [FR]; Uppsala [SE]; and Vitoria-Gasteiz [ES]. The search for and translation of the urban food strategy documents and webpages have been performed in early 2019. The files have been analysed in NVivo (qualitative data analysis software). The upload also includes figures and a table with the authors' assessments connected to the resources and services codes and radar diagram visualisations presented in the following paper: </p> <p>Smaal, S. A. L., Dessein, J., Wind, B. J., & Rogge, E. (2021). Social justice-oriented narratives in European urban food strategies: Bringing forward redistribution, recognition and representation. <em>Agriculture and Human Values</em>, 38(3), 709–727. <a href="http://doi.org/10.1007/s10460-020-10179-6">https://doi.org/10.1007/s10460-020-10179-6</a> </p> <p><strong>Abstract: </strong>More and more cities develop urban food strategies (UFSs) to guide their efforts and practices towards more sustainable food systems. An emerging theme shaping these food policy endeavours, especially prominent in North and South America, concerns the enhancement of social justice within food systems. To operationalise this theme in a European urban food governance context we adopt Nancy Fraser’s three-dimensional theory of justice: economic redistribution, cultural recognition and political representation. In this paper, we discuss the findings of an exploratory document analysis of the social justice-oriented ambitions, motivations, current practices and policy trajectories articulated in sixteen European UFSs. We reflect on the food-related resource allocations, value patterns and decision rules these cities propose to alter and the target groups they propose to support, empower or include. Overall, we find that UFSs make little explicit reference to social justice and justice-oriented food concepts, such as food security, food justice, food democracy and food sovereignty. Nevertheless, the identified resources, services and target groups indicate that the three dimensions of Fraser are at the heart of many of the measures described. We argue that implicit, fragmentary and unspecified adoption of social justice in European UFSs is problematic, as it may hold back public consciousness, debate and collective action regarding food system inequalities and may be easily disregarded in policy budgeting, implementation and evaluation trajectories. As a path forward, we present our plans for the RE-ADJUSTool that would enable UFS stakeholders to reflect on how their UFS can incorporate social justice and who to involve in this pursuit.</p> <p><em>This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 765389. </em></p> <p>Project webpage: <a href="https://recoms.eu/">https://recoms.eu/</a></p>
Qualitative dataset - Socially just urban food policy implementation: a case study in Groningen (NL)
<p>This qualitative dataset contains the transcripts of 43 interviews that have been conducted with members of social food initiatives (e.g. community gardens and orchards, food assistance, social restaurants, food education projects, social employment trajectories, fair trade campaigns, and so on) in the city of Groningen, as well as the interview guide and the information sheet and consent form that have been used during data collection. In addition, the upload includes the interview guide, posters, assessment table, information sheet and consent form that have been used in a two-part focus group with 3 food policy coordinators of the municipality of Groningen. The data was collected from November 2019 till March 2020. The transcripts have been analysed in NVivo (qualitative data analysis software).The link to and abstract of the paper based on this dataset will be provided when our manuscript gets published.</p> <p><em>This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 765389. </em></p> <p>Project webpage: <a href="https://recoms.eu/">https://recoms.eu/</a></p>
Gerational issues in linking family farming production, traditional food in diet, physical activity and obesity in Pacific Islands countries and territories: the case of the Melanesian population on Lifou Island
<p>In the Melanesian culture, traditional activities are organized around family farming, although the lifestyle transition taking place over the last several decades has led to imbalances in diet and physical activity, with both leading to obesity. The aim of this interdisciplinary study was to understand the links between family farming (produced, exchanged, sold, and consumed food), diet (focused on produced, hunted, and caught food), physical activity (sedentary, light, and moderate-to-vigorous physical activity) and obesity in Melanesian Lifou Island families (parents and children). Forty families, including 142 adults and children, completed individual food frequency questionnaires, wore tri-axial accelerometers for seven continuous days, and had weight and height measured with a bio-impedance device. Qualitative and quantitative interviews were conducted at the household level concerning family farming practices and sociodemographic variables. Multinomial regression analyses and logistic regression models were used to analyze the data. Results showed that family farming production brings a modest contribution to diet and active lifestyles for the family farmers of Lifou Island. The drivers for obesity in these tribal communities were linked to diet in the adults, whereas parental socioeconomic status and moderate-to-vigorous physical activity were the main factors associated to overweight and obesity in children. These differences in lifestyle behaviors within families suggest a transition in cultural practices at the intergenerational level. Future directions should consider seasonality and a more in-depth analysis of diet including macro- and micro- nutrients to acquire more accurate information on the intergenerational transition in cultural practices and its consequences on health outcomes in the Pacific region.</p>
Foodscapes - A global clustering of terrestrial food production systems
<p>This repository contains the final outputs from the global <strong>Foodscape</strong> mapping exercise. In this project we aimed to identify broad homologues of foodscape classes, comparable in a minimum set of biophysical and management characteristics, would help to design possible interventions and leverage points for more sustainable agriculture.</p> <p>Provided are maps in spatial geotiff format (.tif) which can be opened in any typical GIS software such as ArcGIC or QGIS. The Resolution is 0.5' degree (WGS 84 or <em>longitude-latitude</em> projection). Both the foodscape map (<em>Foodscapes_combinedGEOTIFF_final.tif</em>) and a reclassified intensity map (<em>Foodscapes_combinedGEOTIFF_intensity.tif</em>) are provided. Accompanied with the tif files are .clr and .qml files, both of which provide layout information on colours used for each code combination in the global maps. The .qml file will be automatically loaded when opening the layer in QGIS.<br> In addition, in the Microsoft Excel sheet "<em>Foodscapes_combinedLEGEND_final.xlsx</em>" a legend with qualitative description and label of each class is provided.</p> <p>If you use this layer in any way, please cite this repository and the describing <a href="https://osf.io/puyzw/">preprint</a>.</p>
Evolution of left-right asymmetry in the sensory system and foraging behavior during adaptation to food-sparse cave environments
<p>Laterality in relation to behavior and sensory systems is found commonly in a variety of animal taxa. Despite the advantages conferred by laterality (e.g., the startle response and complex motor activities), little is known about the evolution of laterality and its plasticity in response to ecological demands. In the present study, a comparative study model, the Mexican tetra (<em>Astyanax mexicanus</em>), composed of two morphotypes, i.e., riverine surface fish and cave-dwelling cavefish, was used to address the relationship between environment and laterality. The use of a machine learning-based fish posture detection system and sensory ablation revealed that the left cranial lateral line significantly supports one type of foraging behavior, i.e., vibration attraction behavior, in one cave population. Additionally, left-right asymmetric approaches toward a vibrating rod became symmetrical after fasting in one cave population but not in the other populations. Based on these findings, we propose a model explaining how the observed sensory laterality and behavioral shift could help adaptation in terms of the tradeoff in energy gain and loss during foraging according to differences in food availability among caves.</p> <p>This repository contains all of raw videos used in this study.</p> <p>Please let us know if you have any question on these videos</p>
Food aid in Europe in times of the COVID-19 crisis
<table> <tbody> <tr> <td><strong><span>Description (purpose, methodology, contents, file structure, etc.)</span></strong></td> <td> <p><span>The dataset is linked to a cross-sectional study on the organisation of food aid in different European countries before and during the COVID-19 crisis. The survey was conducted with local organisations providing food aid in Belgium, Germany, Hungary, Lithuania, the Netherlands, Poland, Portugal and Spain. We set the target population as the total number of local food aid organisations affiliated with the largest national food aid umbrella organisation(s) in each country. The English source questionnaire was developed based on many feedback loops with all project partners (see below) as well as a pilot study. For reasons of consistency, the translation process from the source questionnaire to the target languages followed the translation recommendations of the ‘Cross Cultural Survey Guidelines’ as much as feasible within the context of this project. The final questionnaire included multiple choice questions, dichotomous questions, matrix questions and open-ended questions. Survey participants were recruited by means of a self-administered questionnaire and the technique of computer-assisted web-interviewing as well as via email (in Belgium and partly in Lithuania and Portugal). </span></p> <p><span>Project website: </span><span><a href="https://food-aid-in-europe.eu/"><span>https://food-aid-in-europe.eu/</span></a></span></p> </td> </tr> <tr> <td><strong><span>Personal data yes/no</span></strong></td> <td>no</td> </tr> <tr> <td><strong><span>Type(s) of data and data format</span></strong></td> <td><span>Survey data, Excel file (1.8 MB)</span></td> </tr> <tr> <td><strong><span>Temporal and special coverage</span></strong></td> <td><span>Data was collected </span><span>from 22 March to 4 August 2021 in Belgium, Germany, Hungary, Lithuania, the Netherlands, Poland, Portugal and Spain.</span></td> </tr> <tr> <td><strong><span><span>Language of files</span></span></strong></td> <td><span>English</span></td> </tr> <tr> <td><strong><span><span>Subject</span></span></strong></td> <td><span>Food aid in Europe, COVID-19 crisis, survey data</span></td> </tr> <tr> <td><strong><span><span>Audience</span></span></strong></td> <td><span>Social Sciences</span></td> </tr> <tr> <td><strong><span><span>Rightsholder</span></span></strong></td> <td><span> <span>University of Antwerp, Johanna Greiss, phd student, ORCID </span><span><a href="https://orcid.org/0000-0001-6985-1792"><span>0000-0001-6985-1792</span></a></span></span></td> </tr> <tr> <td><strong><span><span>Access Rights</span></span></strong></td> <td><span>Open access</span></td> </tr> </tbody> </table>
Trade policy announcements can increase price volatility in global food commodity markets (Replication Data)
<p>Replication data for "Trade policy announcements can increase price volatility in global food commodity markets":</p> <ul> <li>Original dataset on trade policy announcements from 2005 to 2017 for wheat and maize (corn) (details in codebook)</li> <li>Daily price ranges based on the highest and lowest price recorded for wheat and corn futures (traded at the Chicago Board of Trade, CBOT)</li> <li>Stocks-to-use data for the United States, which is compiled by the United States Department for Agriculture (USDA) and available at monthly frequency from their World Supply and Demand Estimates report</li> </ul>
Food production in the context of UrbanGreenUP project for Valladolid City
<p>Production of food in urban orchards (agriculture, eggs, etc.). Measurement of the amount of food produced. The production of food will be measured by tones/Ha per year.</p> <p>Measurement of the amount of food produced. If it cannot be measured, an estimate of the amount generated will be made.</p> <p>Users will be asked directly using surveys.</p>
Direct and indirect effects of climate and land use change on food webs in lakes and streams
<p>Here, we provide the data and code necessary to reproduce the workflow and analysis in: Barbosa and Siqueira. Direct and indirect effects of climate and land use change on food webs in lakes and streams. A preprint is available at https://doi.org/10.1101/2022.04.18.488700</p> <p>We compiled multicontinental data to investigate how climate and land use change are related to the structure of freshwater food webs, considering the inherent differences in lentic and lotic ecosystems. We analyzed the direct and indirect relationships between land use intensity, and temperature and precipitation changes, and food webs using multi-group structural equation modeling. Freshwater food webs were obtained from three sources: the Mangal interaction database, using the rmangal package in R, the GlobAl databasE of traits and food Web Architecture (GATEWAY) version 1.0, and the Interaction Web Data Base (IWDB). We also included food webs acquired from a search in the Web of Science Core Collection. Land use data was compiled from the global ESA CCI database, an annually generated land cover product at 300 m resolution for the period 1992 – 2015. Climate data was compiled from the TerraClimate database, a monthly generated product for climate and climatic water balance for global terrestrial surfaces at ~ 4 km for the period 1958 – 2015. </p>
FooDrugs database: A database with molecular and text information about food - drug interactions
<p>FooDrugs database is a development done by the Computational Biology Group at IMDEA Food Institute (Madrid, Spain), in the context of the Food Nutrition Security Cloud (FNS-Cloud) project. Food Nutrition Security Cloud (FNS-Cloud) has received funding from the European Union's Horizon 2020 Research and Innovation programme (H2020-EU.3.2.2.3. – A sustainable and competitive agri-food industry) under Grant Agreement No. 863059 – <a href="http://www.fns-cloud.eu">www.fns-cloud.eu</a> (See more details about FNS-Cloud below)</p> <p>FooDrugs stores information extracted from transcriptomics and text documents for foo-drug interactiosn and it is part of a demonstrator to be done in the FNS-Cloud project. The database was built using MySQL, an open source relational database management system. FooDrugs_V2 host information for a total of 161 transcriptomics GEO series with 585 conditions for food or bioactive compounds (see below changes in versions V3 and V4). Each condition is defined as a food/biocomponent per time point, per concentration, per cell line, primary culture or biopsy per study. FooDrugs includes information about a bipartite network with 510 nodes and their similarity scores (tau score; https://clue.io/connectopedia/connectivity_scores) related with possible drug interactions with drugs assayed in conectivity map (https://www.broadinstitute.org/connectivity-map-cmap). The information is stored in eight tables: </p> <ul> <li> <p>Table “study” : This table contains basic information about study identifiers from GEO, pubmed or platform, study type, title and abstract </p> </li> <li> <p>Table “sample”: This table contains basic information about the different experiments in a study, like the identifier of the sample, treatment, origin type, time point or concentration.</p> </li> <li> <p>Table “misc_study”: This table contains additional information about different attributes of the study.</p> </li> <li> <p>Table “misc_sample”: This table contains additional information about different attributes of the sample.</p> </li> <li> <p>Table “cmap”: This table contains information about 70895 nodes, compromising drugs, foods or bioactives, overexpressed and knockdown genes (see section 3.4). The information includes cell line, compound and perturbation type.</p> </li> <li> <p>Table “cmap_foodrugs”: This table contains information about the tau score (see section 3.4) that relates food with drugs or genes and the node identifier in the FooDrugs network.</p> </li> <li> <p>Table “topTable”: This table contains information about 150 over and underexpressed genes from each GEO study condition, used to calculate the tau score (see section 3.4). The information stored is the logarithmic fold change, average expression, t-statistic, p-value, adjusted p-value and if the gene is up or downregulated.</p> </li> <li> <p>Table “nodes”: This table stores the information about the identification of the sample and the node in the bipartite network connecting the tables “sample”, “cmap_foodrugs” and “topTable”.</p> </li> </ul> <p>In addition, FooDrugs_V2 database stores a total of 6422 food/drug interactions from 2849 text documents, obtained from three different sources: 2312 documents from PubMed, 285 from DrugBank, and 252 from drugs.com. These documents describe potential interactions between 1464 food/bioactive compounds and 3009 drugs (see below changes in versions V3 and V4). The information is stored in two tables:</p> <ul> <li> <p>Table “texts”: This table contains all the documents with its identifiers where interactions have been identified with strategy described in section 4. </p> </li> <li> <p>Table “TM_interactions”: This table contains information about interaction identifiers, the food and drug entities, and the start and the end positions of the context for the interaction in the document.</p> </li> </ul> <p> </p> <p>FNS-Cloud will overcome fragmentation problems by integrating existing FNS data, which is essential for high-end, pan-European FNS research, addressing FNS, diet, health, and consumer behaviours as well as on sustainable agriculture and the bio-economy. Current fragmented FNS resources not only result in knowledge gaps that inhibit public health and agricultural policy, and the food industry from developing effective solutions, making production sustainable and consumption healthier, but also do not enable exploitation of FNS knowledge for the benefit of European citizens.<br> FNS-Cloud will, through three Demonstrators; Agri-Food, Nutrition & Lifestyle and NCDs & the Microbiome to facilitate:<br> (1) Analyses of regional and country-specific differences in diet including nutrition, (epi)genetics, microbiota, consumer behaviours, culture and lifestyle and their effects on health (obesity, NCDs, ethnic and traditional foods), which are essential for public health and agri-food and health policies;<br> (2) Improved understanding agricultural differences within Europe and what these means in terms of creating a sustainable, resilient food systems for healthy diets; and<br> (3) Clear definitions of boundaries and how these affect the compositions of foods and consumer choices and, ultimately, personal and public health in the future.<br> Long-term sustainability of the FNS-Cloud will be based on Services that have the capacity to link with new resources and enable cross-talk amongst them; access to FNS-Cloud data will be open access, underpinned by FAIR principles (findable, accessible, interoperable and re-useable). FNS-Cloud will work closely with the proposed Food, Nutrition and Health Research Infrastructure (FNHRI) as well as METROFOOD-RI and other existing ESFRI RIs (e.g. ELIXIR, ECRIN) in which several FNS-Cloud Beneficiaries are involved directly. (https://cordis.europa.eu/project/id/863059)</p> <p><strong>***** changes between version FooDrugs_v2 and FooDrugs_V3 (31st January 2023) are:</strong></p> <ul> <li> <p>Increased the amount of text documents by 85.675 from PubMed and ClinicalTrials.gov, and the amount of Text Mining interactions by 168.826.</p> </li> <li> <p>Increased the amount of transcriptomic studies by 32 GEO series.</p> </li> <li> <p>Removed all rows in table <em>cmap_foodrugs</em> representing interactions with values of <em>tau</em>=0</p> </li> <li> <p>Removed 43 GEO series that after manually checking didn't correspond to food compounds.</p> </li> <li> <p>Added a new column to the table <em>texts</em>: <em>citation</em> to hold the citation of the text. </p> </li> <li> <p>Added these columns to the table <em>study</em>: <em>contributor</em> to contain the authors of the study, <em>publication_date</em> to store the date of publication of the study in GEO and <em>pubmed_id</em> to reference the publication associated with the study if any.</p> </li> <li> <p>Added a new column to <em>topTable </em>to hold the top 150 up-regulated and 150 down-regulated genes</p> </li> </ul> <p><strong>***** changes between version FooDrugs_v3 and FooDrugs_V4 (28th July 2023) are:</strong></p> <ul> <li> <p>Increased the amount of text documents by 439.338 from PubMed, ClinicalTrials.gov and DDI corpus (<a href="https://www.sciencedirect.com/science/article/pii/S1532046413001123">Herrero-Zazo et al.</a>), and the amount of Text Mining interactions by 1108429.</p> </li> </ul> <p> </p>
Diminishing returns on labor in the global marine food system: Dataset S1 and code for analysis
<p>Dataset on the number of marine fishers 1950-2015 accompanying the manuscript "Diminishing returns on labor in the global marine food system" by K. J. N. Scherrer, Y. Rousseau, L. C. L. Teh, U. R. Sumaila and E. D. Galbraith. Includes 1) script for data analysis, 2) processed fisheries labor data set, 3) separate data file with average socioeconomic indicators by country needed for analysis, 4) data documentation. </p>
University of Michigan Biological Station cumulative food web data for terrestrial habitats, 1909-2023.
Here, we present species and interaction lists for a food web of the aboveground terrestrial habitats at the University of Michigan Biological Station (UMBS). The site is composed predominantly of dry-mesic, northern hardwood forests with patches of wooded wetlands (hardwood conifer swamp). Taxa were sourced from lists provided by UMBS, from resident biologists’ personal observations, museum specimens, online databases, historical censuses, and BioBlitz events. Only those that could be resolved to species-level or were genera with < 20 species in the Nearctic were included. We also excluded species that do not have a significant lifestage or feeding behavior in aboveground terrestrial habitats. Our focal taxonomic groups include vascular plants, arthropods, birds, mammals, reptiles, amphibians. The majority of arthropods are insects; non-insect arthropods were highly underrepresented in our lists. Interactions were sourced from online databases, naturalist observations, and field guides and accumulated into a “metaweb” of all potential interactions between local species. Interactions were checked by experts to plausibly occur in the aboveground terrestrial environments at UMBS, given species’ phenology, traits, and habitat usage. Interactions at any taxonomic level were included, so long as they were approved to potentially occur between all species by our experts. To study the effect of taxonomic resolution on food web structure, in this dataset, we retained records at coarser taxonomic groupings even if more highly resolved records were also approved. We included all direct interactions among species in our system with a bioenergetic flow (i.e., one species consuming another), differentiated by their focal resource. We broadly categorized the resources as animal tissues, either (1) live tissues and as prey, or (2) scavenged as carrion, carcasses, or other decaying animal remains, or as plant tissues, grouped as (3) leaves and stems, including grasses, exudates, et
Flow discharge impact competition for food and shelter between two overlapping species of crayfish
Competition between aquatic organisms is heavily influenced by abiotic factors in the environment, specifically flow regime in aquatic systems. Flow regime has been shown to significantly affect the way in which a species uses the environmental resources and alterations in flow can exasperate competitive advantages by congenerics. However, little work has concentrated on the competitive outcome between native and invasive organisms as a function of flow regime. Here, we sought to uncover how competition between two crayfish species (the native virile crayfish [Faxonius virilis] and invasive rusty crayfish [Faxonius rusticus]) was affected by varying flow rates. To do this, we size-matched crayfish and quantified three separate behaviors (food use, shelter use, and fights) of crayfish in four different discharge levels (no discharge—0 cm3/s; low discharge—116 cm3/s; intermediate discharge—345 cm3 /s; high discharge—450 cm3/s). We found that the number of foraging bouts was significantly (p < 0.001) influenced by discharge levels for both species, where rusty crayfish foraged more often in no and discharge. The number of times crayfish sheltered also varied between species and was significantly (p < 0.001) altered by discharge level, where rusty crayfish sheltered more often in no discharge and virile crayfish sheltered more in low and intermediate discharge levels. Similarly, the number of fights that crayfish engaged in also significantly (p < 0.001) depended upon species and discharge levels. Rusty crayfish engaged in more agonistic activities in no and high discharge levels while virile crayfish participated most often in low and intermediate discharge levels
Cothran, R. D., F. Radarian, and R. A. Relyea. 2011. Altering aquatic food webs with a global insecticide: Arthropod-amphibian links in mesocosms that simulate wetland communities. Journal of the North American Benthological Society 30:893-912.
Pesticides play a critical role in maximizing yields of economically important crops and minimizing the human health threats of disease-carrying pests, but they often have collateral effects on nontarget species. We used a mesocosm study to address how the most commonly used insecticide in the USA, malathion, applied at low, ecologically relevant concentrations (20 and 110 mg/L) affects species interactions in aquatic communities. Unlike many community ecotoxicology studies, our study assessed how malathion affects both consumptive and nonconsumptive effects of predators. We also considered how the vertical distribution of predator cues and malathion (caused by potential stratification) affects species interactions. We found no evidence for vertical stratification of malathion, a result suggesting that exposure to the pesticide was uniform throughout the water column. Malathion was lethal to some primary consumers (cladocerans) at both concentrations and to top predators (dragonflies) at the highest concentration (110 mg/L). These lethal effects initiated density-mediated indirect effects in both cases. Malathion also may have decreased dragonfly foraging efficiency, resulting in increased tadpole survival (trait-mediated indirect effect), which decreased the resources used by tadpoles (periphyton). Collectively, our results show that malathion alters species interactions. However, we suggest that the degree to which pesticides affect aquatic communities will depend strongly on the species composition of communities. Therefore, the community-level consequences of pesticide exposure are likely to vary across the ecological landscape.
Anoline Lizard Food Habits
<p>The stomach contents of 10 adult individuals of each of three anole species (Anolis gundlachi, A. evermanni, and A. stratulus) were collected to determine the number, type, and volume of prey consumed following Hurricane Hugo. Gut contents were identified to the lowest taxon possible and were measured.</p>
Stable isotopes of Mya arenaria during 2010 and 2011 to determine food sources
Several sites in Plum Island Sound, the mainstem of the Parker River and Rowley River were selected and sampled during 2010 and 2011 for 2 and 4 inch intertidal clams on a monthly basis. The tissue of these clams were analyzed for stable isotopes to determine the food source of these clams. Water samples were also filtered and plants were collected to determine their isotopic composition as well.
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.