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Psychological Well-being, Food Insecurity, Academic Performance, and Other Risk Factors in a Sample of College Students in Jordan during Covid-19
<p>This research investigated the occurrence of psychological well-being perception and its relationship with food insecurity, academic performance, and other correlates in a sample of university students in Amman, Jordan during Covid-19. A cross-sectional study was conducted in two phases. Phase-1 translated and validated an Arabic version of the Psychological General Wellbeing Index-Short version (PGWB-S) in 122 students from the University of Jordan. In Phase-2, 414 students completed demographic questionnaire, Arabic Versions of the PGWB-S, Ryff Psychological Wellbeing Scale, and Individual Food Insecurity Experience Scale.</p> <p>Ethical considerations: This manuscript has been read and approved by all authors. The authors confirm that there are no other persons, who satisfied the criteria for authorship, but are not listed. The order of authors listed in the manuscript has been approved by all of them. They also understand that the Corresponding Author is the sole contact for the Editorial process, and holds the responsibility for communicating with the other author about progress, submissions of revisions and final approval of proofs. Moreover, the authors declare that this manuscript is original, has not been published before, and is not currently being considered for publication elsewhere. Furthermore, all data used in the study is confidential and the lead author has full access to the data reported in the manuscript. We confirm that there are no known conflicts of interest associated with this publication, which did not receive any financial support. Finally, the reporting of this work is compliant with The Code of Ethics of the World Medical Association (Declaration of Helsinki). In addition to that, the protocol of this research is approved by the Institutional Review Board at the University of Jordan, Amman, Jordan (ref no.: 2021-89).</p>
Case study for Sustainable agri-food supply chain planning through multi-objective optimisation
<p>Case study used to solve the multi-objective model proposed in: Sustainable agri-food supply chain planning through multi-objective optimisation</p>
Filtered GBIF dataset of occurrences for food species in the brown bear (Ursus arctos) trophic database
<p>We reviewed 47 studies of brown bear diet in Europe by searching in SCI Journals, master’s and PhD theses, and grey literature. We obtained a list of 276 species in the brown bear diet in Europe and Turkey. We used the R package rgbif to download occurrences of each food species from the Global Biodiversity Information Facility (GBIF). We selected occurrences of food species, with an uncertainty of <1 km2, in Europe, North Africa and the Middle East for the period 1989–2018.</p>
LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food
<p><strong>LivingNER Gold Standard corpus (includes training, validation, test and background sets + MULTILINGUAL RESOURCES</strong>)</p><p> </p><p><strong>Please cite if you use this dataset:</strong></p><p>A. Miranda-Escalada, E. Farré-Maduell, S. Lima-López, D. Estrada, L. Gascó, M. Krallinger, Mention detection, normalization & classification of species, pathogens, humans and food in clinical documents: Overview of LivingNER shared task and resources, <i>Procesamiento del Lenguaje Natural</i> (2022)</p><p>@article{amiranda2022nlp, title={Mention detection, normalization \& classification of species, pathogens, humans and food in clinical documents: Overview of LivingNER shared task and resources}, author={Miranda-Escalada, Antonio and Farr{\'e}-Maduell, Eul{`a}lia and Lima-L{\'o}pez, Salvador and Estrada, Darryl and Gasc{\'o}, Luis and Krallinger, Martin}, journal = {Procesamiento del Lenguaje Natural}, year={2022} }</p><p> </p><p><i><strong>1. Introduction</strong></i></p><p>The LivingNER Gold Standard corpus is a collection of<strong> 2000 clinical case reports</strong> covering a <strong>broad range of medical specialities</strong>, i.e. infectious diseases (including Covid-19 cases), cardiology, neurology, oncology, dentistry, pediatrics, endocrinology, primary care, allergology, radiology, psychiatry, ophthalmology, urology, internal medicine, emergency and intensive care medicine, tropical medicine, and dermatology <strong>annotated with species</strong> [SPECIES] (including <strong>living organisms</strong> and <strong>microorganisms</strong>) and <strong>infectious diseases</strong> [ENFERMEDAD] mentions. Species mentions include many <strong>pathogens</strong> and infectious agents, but also <strong>food</strong>, allergens, <strong>pets</strong> or other species, taxonomic groups and organisms of clinical relevance. </p><p>The LivingNER corpus has also annotations of mentions of <strong>humans</strong> (tag HUMAN), including the patients itself, <strong>family members</strong>, healhcare professionals or other persons mentioned in the case reports. Thus it can be useful to extract family history information of patients or information about the social and healthcare personal environment and interactions.</p><p>All mentions have been exhaustively manually mapped by experts to their corresponding <a href="https://www.ncbi.nlm.nih.gov/taxonomy"><strong>NCBI Taxonomy</strong></a> identifiers. </p><p>It was used for the <a href="https://temu.bsc.es/livingner/">LivingNER</a> Shared Task on pathogens and living beings detection and normalization in Spanish medical documents, which was celebrated as part of IberLEF 2022.</p><p> </p><p><i><strong>2. Training, validation, test and background sets</strong></i></p><p>The training set is composed of 1000 clinical case reports. The validation set includes 500 clinical case reports with the same characteristics and the test set includes 485. The background set is a collection of around 13k unannotated case reports that were originally added to prevent manual annotations in the test set during the competition and to create a Silver Standard.</p><p><i><strong>2.1 Annotations format</strong></i></p><p>Annotations and text files are distributed separately. The texts are in plain text (.txt in UTF-8) format, while the annotations are are distributed in a tab-separated file (.tsv) file with one row per annotation:</p><p>- For <strong>subtask 1 (LivingNER-Species NER track)</strong>, the .tsv file has the following columns:</p><ul><li>filename: document name</li><li>mark: identifier mention mark</li><li>label: mention type (SPECIES or HUMAN)</li><li>off0: starting position of the mention in the document</li><li>off1: ending position of the mention in the document</li><li>span: textual span</li></ul><p> - For <strong>subtask 2 (LivingNER-Species Norm track)</strong>, the .tsv file has the same columns as the previous one, plus:</p><ul><li>isH: whether the span is narrower than the NCBITax assigned code</li><li>isN: whether the mention corresponds to a nosocomial infection</li><li>iscomplex: whether the span has assigned a combination of NCBITax codes</li><li>NCBITax: mention code in the NCBI Taxonomy</li></ul><p>- For <strong>subtask 3 (LivingNER-Clinical IMPACT track)</strong>, the .tsv file has the following columns:</p><ul><li>filename</li><li>isPet (Yes/No)</li><li>PetIDs (NCBITaxonomy codes of pet & farm animals present in document)</li><li>isAnimalInjury (Yes/No)</li><li>AnimalInjuryIDs (NCBITaxonomy codes of animals causing injuries present in document)</li><li>IsFood (Yes/No)</li><li>FoodIDs (NCBITaxonomy codes of food mentions present in document)</li><li>isNosocomial (Yes/No)</li><li>NosocomialIDs (NCBITaxonomy codes of nosocomial species mentions present in document)</li></ul><p><i><strong>2.2 Important notes about subtask 3 (LivingNER-Clinical IMPACT track):</strong></i></p><ul><li><strong>Less clinical case reports</strong>. Subtask 3 (LivingNER-Clinical IMPACT track) contains half of the clinical case reports (500 in the training partition, 250 in the validation partition). The list of valid clinical case reports for task 3 is included in the data (train_files_task3.txt and validation_files_task3.txt)</li><li><strong>Enriched dataset.</strong> The GS format is the one described above (a TSV with one line per clinical case report). However, we believe participants may find useful and <strong>enriched dataset. </strong>Then, we provide an additional dataset, with the mentions of the NER track classified in the 4 Clinical impact categories (food, pet&farm animals, animals causing injuries and nosocomial). It is a TSV file with one row per annotation, and with the following columns: filename, mark, label, off0, off1, span, isPet, isAnimalInjury, isFood, isNosocomial, isH, iscomplex, code</li></ul><p> </p><p><i><strong>3. Multilingual resources</strong></i></p><p>We have generated the annotated training and validation sets in <strong>7 languages</strong>:</p><ul><li><i><strong>English</strong></i></li><li><i><strong>Portuguese</strong></i></li><li><i><strong>Catalan</strong></i></li><li><i><strong>Galician</strong></i></li><li><i><strong>Italian</strong></i></li><li><i><strong>French</strong></i></li><li><i><strong>Romanian</strong></i></li></ul><p> </p><p>The process was:</p><ol><li>The text files were translated with a neural machine translation system.</li><li>The annotations were translated with the same neural machine translation system.</li><li>The translated annotations were transferred to the translated text files using an annotation transfer technology.</li></ol><p>The text files are stored in the multilingual_resources/<strong>training-text-files</strong> and multilingual_resources/<strong>validation-text-files </strong>subfolders.</p><p>The annotated TSV files are stored in the multilingual_resources/<strong>annotation_transfer </strong>subfolder.</p><p>For the sake of comparison, we incorporate as well the annotations that resulted from the <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-85">LINNAEUS tool</a> in the multilingual_resources/<strong>linneaus</strong> subfolder.</p><p>If you want to visualize the multilingual resources, check out this Brat server: <a href="https://temu.bsc.es/mLivingNER/#/translations/">https://temu.bsc.es/mLivingNER/#/translations/</a></p><p>For instance, you can see the parallel annotations in <a href="https://temu.bsc.es/mLivingNER/diff.xhtml#/translations/en/annotation_transfer/train/casos_clinicos_cardiologia34?diff=/translations/fr/annotation_transfer/train/">English vs in French</a>, or <a href="https://temu.bsc.es/mLivingNER/diff.xhtml#/translations/cat/annotation_transfer/train/casos_clinicos_cardiologia35?diff=/gold-standard/train/">in Spanish (the gold standard) vs in Catalan.</a></p><p> </p><p><strong>Resources</strong></p><ul><li><a href="https://temu.bsc.es/livingner/"><strong>Task Web</strong></a></li><li><strong>Citation: </strong>A. Miranda-Escalada, E. Farré-Maduell, S. Lima-López, D. Estrada, L. Gascó, M. Krallinger, Mention detection, normalization & classification of species, pathogens, humans and food in clinical documents: Overview of LivingNER shared task and resources, <i>Procesamiento del Lenguaje Natural</i> (2022)</li><li><a href="https://doi.org/10.5281/zenodo.6385162"><strong>Annotation guidelines</strong></a></li><li><a href="https://github.com/tonifuc3m/livingner-evaluation-library"><strong>Evaluation library</strong></a></li><li><a href="https://doi.org/10.5281/zenodo.6390506">LivingNER terminology</a></li><li><a href="http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6444"><strong>Overview paper</strong></a></li><li><a href="https://ceur-ws.org/Vol-3202/"><strong>Proceedings participant papers</strong></a></li><li><a href="https://www.youtube.com/watch?v=8VcZw8ywyJY&list=PL5uSCzf1azhA_gMLC3DBZe6NvmMJiggTg"><strong>Youtube videos</strong></a></li><li><a href="https://www.slideshare.net/MartinKrallinger/mention-detection-normalization-classification-of-species-pathogens-humans-and-food-in-clinical-documents-overview-of-the-livingner-shared-task-and-resources-talk-at-iberlef-sepln-2022"><strong>LivingNER overview talk sides at IberLEF/SEPLN</strong></a></li></ul><p> </p><p><strong>License</strong></p><p>This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p><p><strong>Contact</strong></p><p>If you have any questions or suggestions, please contact us at:</p><p><br>- Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)</p><p><strong>Additional resources and corpora</strong></p><p>If you are interested in SympTEMIST, you might want to check out these corpora and resources:</p><ul><li><a href="https://zenodo.org/records/7614764">DisTEMIST</a> (Corpus of disease mentions and normalization to SNOMED CT, different document collection, some overlapping documents)</li><li><a href="https://zenodo.org/records/8413866">SympTEMIST</a> (Corpus of symptoms, sign and findings mentions and normalization to SNOMED CT, different document collection, some overlapping documents)</li><li><a href="https://zenodo.org/records/8224056">MedProcNER </a>(Corpus of clinical procedure mentions and normalization to SNOMED CT, different document collection, some overlapping documents)</li><li><a href="https://zenodo.org/records/4270158">PharmaCoNER</a> (Corpus of medications, drugs, chemical substances, genes, proteins and vaccine mentions and normalization, different document collection, some overlapping documents)</li><li><a href="https://zenodo.org/records/7116201">MEDDOPROF</a> (Corpus of mentions of professions, occupations and working status and normalization, different document collection)</li><li><a href="https://zenodo.org/records/8403498">MEDDOPLACE</a> (Corpus of mentions of place-related entity mentions, including departments, nationalities or patient movements etc.. and normalization, different document collection)</li><li><a href="https://zenodo.org/records/4279323">MEDDOCAN</a> (Corpus of mentions of Personal Health Identifiers (PHI), differentdocument collection)</li><li><a href="https://zenodo.org/records/3978041">CANTEMIST</a> (Corpus of cancer tumor morphology mentions and normalization, different document collection)</li><li><a href="https://zenodo.org/records/3837305">CodiESp</a> (Corpus of clinical case reportes with assigned clinical codes from ICD10, Spanish version, different document collection, some overlapping documents)</li><li><a href="https://zenodo.org/records/2560344">SPACCC-POS</a> (Corpus of clinical case reports in Spanish annotated with POS-tags, different document collection, some overlapping documents)</li><li><a href="https://zenodo.org/records/2560338">SPACCC-TOKEN</a> (Corpus of clinical case reports in Spanish annotated with token-tags (word mention boundaries), different document collection, some overlapping documents)</li><li><a href="https://zenodo.org/records/2560338">SPACCC-SPLIT</a> (Corpus of clinical case reports in Spanish annotated with sentence boundary-tags, different document collection, some overlapping documents)</li><li><a href="https://zenodo.org/records/5602914">MESINESP-2</a> (Corpus of manually indexed records with DeCS /MeSH terms comprising scientific literature abstracts, different document collection, some overlapping documents)</li></ul>
Data for: Strong effects of food quality on host life history do not scale to impact parasitoid efficacy or life history
<p><span>Parasitoids are small insects, (e.g., small wasps or flies) that reproduce by laying eggs on or within host arthropods. Parasitoids make up a large proportion of the world's biodiversity and are popular agents of biological control. Idiobiont parasitoids paralyze their hosts upon attack and thus are expected to only target hosts large enough to support offspring development. Host resources generally impact host attributes and life histories including size, development, and life span. Some argue slow host development in response to resource quality increases parasitoid efficacy (i.e., a parasitoid's ability to successfully reproduce on or within a host) due to longer host exposure to parasitoids. However, this hypothesis is not always supported and does not consider variation in other host traits in response to resources that may be important for parasitoids (e.g., variation in host size is known to impact parasitoid efficacy). In this study, we test whether trait variation within host developmental stages in response to host resources is more important for parasitoid efficacy and life histories than trait variation across host developmental stages. We exposed seed beetle hosts raised on a food quality gradient to mated female parasitoids and measured the number of hosts parasitized and parasitoid life history traits at the scale of host stage- and age-structure. Our results suggest host food quality does not cascade to impact idiobiont parasitoid life histories despite large food quality effects on host life history. Instead, variation in host life histories across host developmental stages better predicts parasitoid efficacy and life histories, suggesting finding a host in a specific instar is more important for idiobiont parasitoids than finding hosts on or within higher quality resources.</span></p>
European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2020/2021
<p>All tables produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2021:</p> <p>- <em>Campylobacter</em></p> <p><em>- E. coli</em></p> <p>- MRSA</p> <p>- <em>Salmonella</em></p> <p>- ESBL</p> <p>Annexes A to F are also included.</p>
Food Pricing Data in Newfoundland and Labrador, Canada 2020-2021
<p>This dataset contains data for food prices on several key food items in the Canadian province of Newfoundland and Labrador collected using citizen science, from October 2020 to December 2021. Data were collected in different places in the province on different timelines, with some locations receiving regular biweekly data and others having a single date inputted. The goal of this dataset was to gain high-resolution temporal data on food pricing to see variations over time, place, stores, online vs in-person shopping, sales, and food items.</p> <p>This data is the basis of the report: Liboiron, Max, Willa Neilsen, Morgan Davidson, Sarah Crocker, Amanda Asiamah, Kaitlyn Hawkins, Brittany Marie Schaefer, Patricia Johnson-Castle, Kerri Claire Neil, Lynn Blackwood, Corinne Neil, Sarah Sauvé, and Charlotte Florian. (2023). <em>Comparative Food Pricing in Newfoundland and Labrador using Citizen Science, 2020-2021</em>. Civic Laboratory for Environmental Action Research (CLEAR). St. John’s: Memorial University. </p> <p>Report, figures, etc are available at <a href="https://civiclaboratory.nl/nl-food-pricing-project/%20">https://civiclaboratory.nl/nl-food-pricing-project/</a></p>
FIG. 2 in Food taboos in medieval Iberia: the zooarchaeology of socio-cultural differences
FIG. 2. — Comparison of chicken and goose Number of Identified Specimens (NISP) % in Santa Marta-Pancorbo (left) with contemporary sites from the region. Salvatierra (Grau-Sologestoa 2015), Vitoria (Castaños et al. 2011, 2012, 2013) and Orduña (Cajigas et al. 2003) are towns; Desolado de Rada is a rural settlement (Castaños & Castaños 2003). Abbreviations:LMA, Late Middle Ages; ModE, Modern Era; Trans, Transition.
FIG. 1 in Food taboos in medieval Iberia: the zooarchaeology of socio-cultural differences
FIG. 1. — Comparison of cattle and pig Number of Identified Specimens (NISP) % in Santa Marta-Pancorbo (left) with contemporary sites from the region. Salvatierra (Grau-Sologestoa 2015), Vitoria (Castaños et al. 2011, 2012, 2013) and Orduña (Cajigas et al. 2003) are towns; Desolado de Rada is a rural settlement (Castaños & Castaños 2003). Abbreviations:LMA, Late Middle Ages; ModE, Modern Era; Trans, Transition.
Early-life food stress hits females harder than males in insects: a meta-analysis of sex differences in environmental sensitivity
<p><span>Fitness consequences of early-life environmental conditions are often sex-specific, but corresponding evidence for invertebrates remains inconclusive. Here we use meta-analysis to evaluate sex-specific sensitivity to early-life nutritional conditions in insects. Using literature-derived data for 85 species with broad phylogenetic and ecological coverage, we show that </span><span>females are generally more sensitive to food stress than males. Stressful nutritional conditions during development typically lead to female-biased mortality and thus increasingly male-biased sex ratios of emerging adults. We further demonstrate that the general trend of higher sensitivity to food stress in females can primarily be attributed to their typically larger body size in insects and hence higher energy needs during development. By contrast, there is no consistent evidence of sex-biased sensitivity in sexually size-monomorphic species. Drawing conclusions regarding sex-biased sensitivity in species with male-biased size dimorphism remains to wait for the accumulation of relevant data. Our results suggest that environmental conditions leading to elevated juvenile mortality may potentially affect the performance of insect populations further by reducing the proportion of females among individuals reaching reproductive age. Accounting for sex-biased mortality is therefore essential to understanding the dynamics and demography of insect populations, not least importantly in the context of ongoing insect declines.</span></p>
Perception of Organic Food
<p>This is a dataset of raw and secondary data obtained form the survey conducted in 2020 at Polish and English universities. The file which contains a questionnaire used in the investigation is also included.</p>
Data for: Herbivores disrupt the flow of food resources to termites in dryland ecosystems
<p><span>Irruption of herbivore populations due to the extirpation of predators has led to dramatic changes in ecosystem functioning worldwide. Herbivores compete with other species for their primary source of nutrition, plant biomass. Such competition is typically considered to occur between species in closely related clades and functional groups but could also occur with detritivores that consume senescent plant biomass. Here, we test predictions that herbivores' indirect impacts on dead vegetation increase with primary productivity and extend to termites which feed on senescent vegetation. We compared dead vegetation cover and termite activity in herbivore exclosures and associated grazed plots at 3 locations situated along a rainfall gradient in arid Australia where kangaroo populations have irrupted. Dead vegetation cover and termite activity increased with rainfall in ungrazed plots but showed a negligible response to rainfall in grazed plots. Our results suggest that grazing can disrupt the flow of energy to detritivores and decouple the relationship between termite activity and primary productivity. Such disruption could have far-reaching impacts on arid ecosystems because many organisms sit within "brown food webs" that are sustained by energy derived from decomposition of senescent plant-tissues. </span></p>
Food Survey for the detection of high salt intakes
<p><em><strong>Food consumption frequency survey for detection of high salt intakes. (Foods correlated with salt intake).</strong></em></p> <p> </p>
Food webs coupled in space: Consumer foraging movement affects both stocks and fluxes
<p>The exchange of material and individuals between neighbouring food webs is ubiquitous and affects ecosystem functioning. Here, we explore animal foraging movement between adjacent, heterogeneous habitats and its effect on a suite of interconnected ecosystem functions. Combining dynamic food-web models with nutrient-recycling models, we study foraging across habitats that differ in fertility and plant diversity. We found that net foraging movement flowed from high to low fertility or high to low diversity and boosted stocks and flows across the whole loop of ecosystem functions including biomass, detritus, and nutrients in the recipient habitat. Contrary to common assumptions, however, the largest flows were often between the highest and intermediate fertility habitats rather than highest and lowest. The effect of consumer influx on ecosystem functions was similar to the effect of increasing fertility. Unlike fertility, however, consumer influx caused a shift towards highly predator-dominated biomass distributions, especially in habitats that were unable to support predators in the absence of consumer foraging. This shift resulted from both direct and indirect effects propagated through the interconnected ecosystem functions. Only by considering both stocks and fluxes across the whole loop of ecosystem functions do we uncover the mechanisms driving our results. In conclusion, the outcome of animal foraging movements will differ from that of dispersal and diffusion. Together we show how considering active types of animal movement and the interconnectedness of ecosystem functions can aid our understanding of the patchy landscapes of the Anthropocene.</p>
Data for: Generalist invasion in a complex lake food web
<p><span>Invasive species constitute a threat not only to native populations but also to the structure and functioning of entire food webs. Despite being considered as a global problem, only a small number of studies have quantitatively predicted the food web‐level consequences of invasions. Here, we use an allometric trophic network model parameterized using empirical data on species body masses and feeding interactions to predict the effects of a possible invasion of Amur sleeper (</span><em><span>Perccottus glenii</span></em><span>), on a well‐studied lake ecosystem. We show that the modeled establishment of Amur sleeper decreased the biomasses of top predator fishes by about 10%–19%. These reductions were largely explained by increased larval competition for food and Amur sleeper predation on fish larvae. In contrast, biomasses of less valued fish of lower trophic positions increased by about 0.5%–9% owing to reduced predation pressure by top piscivores. The predicted impact of Amur sleeper establishment on the biomasses of native fish species vastly exceeded the impacts of current‐day fishing pressures.</span></p>
True cost accounting of organic and conventional food production
<p>This is the electronic supplementary data for the article "True cost accounting of organic and conventional food production" published in Journal of Cleaner Production (2023), https://doi.org/10.1016/j.jclepro.2023.137134.</p>
Raw Data for D3.4: Design and performance of vacuum degasification for agricultural residues and food-waste treatment for nitrogen depletion /recovery
<p>The data contains the test results from the conducted tests at the PONDUS-N pilot plant for vacuum degasification from Circular Agronomics WP2/3. It includes 4 major test series A-D with multiple triplicate runs in each series. Analytical data of batch testing and plant parameters were recorded and put into the file to accurately describe the time course of the tests. The boundary conditions of the test runs are described in D3.4.</p>
Integration of Renewable Energy Sources into the Water-Energy-Food (WEF) Nexus – Modelling a Demand Side Management Approach and Application to a Microgrid Farm in Morocco Dataset
<p>Here you can find the official data used for the publication "Integration of Renewable Energy Sources into the Water-Energy-Food (WEF) Nexus – Modelling a Demand Side Management Approach and Application to a Microgrid Farm in Morocco"</p> <p>If you want to run the model, please update line 11 in the run.jl file, to select the dataset from the scenario you want to look at. It is also recommended to change the result path, to a directory that corresponts to the current model run in order to find the results files quicker.</p> <p> </p> <p>To create a new plot a file called newPlot.jl can be found, that already take care of most data handling, only lines 136 and 141 need to be changed, in order to read in the result files of the results you want to investigate.</p>
Copepod life history evolution under high and low food regimes
<p>Copepods play a critical role in the carbon cycle of the planet – they mediate the sequestration of carbon into the deep ocean, and are the trophic link between phytoplankton and marine foodwebs. Global change stressors that decrease copepod productivity create the potential for catastrophic positive feedback loops. Accordingly, a growing list of studies examine the evolutionary capacity of copepods to adapt to the two primary stressors associated with global change: warmer temperatures and lower pH. But the evolutionary capacity of copepods to adapt to changing food regimes, the third major stressor associated with global change, remains unknown. We used experimental evolution to explore how a 10-fold difference in food availability affects life history evolution in the copepod, <em>Tisbe</em> sp. over two years, and spanning 30+ generations. Different food regimes evoked evolutionary responses across the entire copepod life history: we observed evolution in body size, size-fecundity relationships, and offspring investment strategies. Our results suggest that changes to food regimes reshape life histories and that cryptic evolution in traits such as body size is likely. We demonstrate that evolution in response to changes in ocean productivity will alter consumer life histories, and may distort trophic links in marine foodchains. Evolution in response to changing phytoplankton productivity may alter the efficacy of the global carbon pump in ways that have not been anticipated until now.</p>
Data for "Symbiotic nutrient cycling enables the long-term survival of Aiptasia in the absence of heterotrophic food sources"
<p>Supplementary figures and raw data associated with the publication "Symbiotic nutrient cycling enables the long-term survival of Aiptasia in the absence of heterotrophic food sources". Data for physiological and NanoSIMS measurements are uploaded as individual sheets/tabs in the .xslx file. </p> <p>"Fig. 1" contains data for physiological measurements (biomass, protein content, and symbiont density) of fed and starved Aiptasia. </p> <p>"Fig. 2" contains data for NanoSIMS measurements for regions of interest from the tissue of fed and starved Aiptasia as well as unlabelled control Aiptasia. </p> <p>The R script contains all code required to repeat the data analysis and plotting.</p> <p> </p>
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.