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Supplementary material 2 from: Cseh A, Carbayo F, Froehlich EМ (2017) Observations on food preference of Neotropical land planarians (Platyhelminthes), with emphasis on Obama anthropophila, and their phylogenetic diversification. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e12622
Table S2. Invertebrate not eaten by Geoplaninae land planarians in lab conditions :
Supplementary material 1 from: Cseh A, Carbayo F, Froehlich EМ (2017) Observations on food preference of Neotropical land planarians (Platyhelminthes), with emphasis on Obama anthropophila, and their phylogenetic diversification. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e12622
Table S1. Invertebrate consumed by Geoplaninae land planarians :
Figure 2 from: Lanna LL, de Azevedo CS, Claudino RM, Oliveira R, Antonini Y (2017) Feeding behavior by hummingbirds (Aves: Trochilidae) in artificial food patches in an Atlantic Forest remnant in southeastern Brazil. Zoologia 34: 1-9. https://doi.org/10.3897/zoologia.34.e13228
Figure 2 - Positive correlation between the time spent feeding and the exhibition of aggressive behaviors by the hummingbirds. For this analysis, we included the time spent feeding by all hummingbird species in all sugar concentrations, and we summed the aggressive behaviors "expelling", "fighting", "frightening", "expel attempt", "alert" and "vocalizing".
Figure 1 from: Lanna LL, de Azevedo CS, Claudino RM, Oliveira R, Antonini Y (2017) Feeding behavior by hummingbirds (Aves: Trochilidae) in artificial food patches in an Atlantic Forest remnant in southeastern Brazil. Zoologia 34: 1-9. https://doi.org/10.3897/zoologia.34.e13228
Figure 1 - Sugar concentrations most visited by the recorded hummingbird species based on time spent foraging (mean duration of time spent foraging ± SD). Different letters represents statistical differences between sugar solutions as per the results of Dunn's post hoc tests (P-value < 0.05).
Figures 3-6 from: Lanna LL, de Azevedo CS, Claudino RM, Oliveira R, Antonini Y (2017) Feeding behavior by hummingbirds (Aves: Trochilidae) in artificial food patches in an Atlantic Forest remnant in southeastern Brazil. Zoologia 34: 1-9. https://doi.org/10.3897/zoologia.34.e13228
Figures 3-6 - Positive correlation between size (cm) and the exhibition of aggressive (3) and submissive (4) behaviors by the hummingbirds. Positive correlation between weight (g) and the exhibition of aggressive (5) and submissive (6) behaviors by the hummingbirds. For both analysis, we included aggressive and submissive behaviors exhibited by all hummingbird species in all sugar concentrations, and we summed the aggressive behaviors "expelling", "fighting", "frightening", "expel attempt", "alert" and "vocalizing", and the submissive behaviors "fleeing" and "frightened".
Figures 1-9 from: Cseh A, Carbayo F, Froehlich EМ (2017) Observations on food preference of Neotropical land planarians (Platyhelminthes), with emphasis on Obama anthropophila, and their phylogenetic diversification. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e12622
Figures 1-9 - Photographs of land planarians feeding under laboratory conditions (1) and in nature (2–9). Orange arrowheads point to prey; blue arrowheads point to the predator flatworm. (1) Obama anthropophila capturing Issoca rezendei. Note the body margins bending onto the prey, thus preventing it from escaping even before being eaten (inset); (2) a young specimen of Obama burmeisteri feeding on the giant African snail (Ilhabela, SP); (3) Obama carinata handling a slug (Veronicellidae) (Parque Estadual da Serra da Cantareira, São Paulo, SP); (4) Cephaloflexa bergi eating a harvestman (Reserva Biológica Augusto Ruschi, ES); (5) Geobia subterranea eating an earthworm (Caxambu, MG); (6) Geoplana cf. chita disturbed while eating a snail to show the shell (São Sebastião, SP); (7) two specimens of Imbira marcusi simultaneously attacking an earthworm (Parque Estadual Intervales, SP); (8) Notogynaphallia cf. sexstriata eating an insect larva (Parque Estadual da Serra do Mar, SP); (9) Obama evelinae eating a land snail (Reserva Natural Municipal Nascentes de Paranapiacaba, Santo André, SP).
Supplementary material 3 from: Lefort M, Wratten S, Cusumano A, Varennes Y, Boyer S (2017) Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing. Metabarcoding and Metagenomics 1: e13709. https://doi.org/10.3897/mbmg.1.13709
Exploratory statistics addressing sequencing depth per country and MOTU rarefaction.
Supplementary material 2 from: Lefort M, Wratten S, Cusumano A, Varennes Y, Boyer S (2017) Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing. Metabarcoding and Metagenomics 1: e13709. https://doi.org/10.3897/mbmg.1.13709
Supporting Information 2
Data of study "Time-restricted feeding obesogenic food is sufficient to revert neurocognitive deficits
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Quantifying the impact of the food we eat on species extinctions supplementary dataset
<p>Feed and food provenance and impacts as calculated via the methods described in the manuscript. Provenance values are in tons. The column 'Value' represents the portion of the item (and animal product) combination consumed within the country that originates in the country ISO3 label in the column 'Country_ISO'. Biodiversity impacts per-kilogram are contained in the column 'bd_opp_cost'.</p> <p>Note that producer and consumer country codes, and item and animal product codes align with the FAOSTAT standards. </p>
Food App dataset
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A POLICY BACKGROUND PAPER ON CENTRAL ASIA'S FOOD INSECURITY FOOD AND NUTRITION SECURITY FOR SUSTAINABLE DEVELOPMENT
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Farmer-mediated shifts in drought tolerance traits across an aridity gradient in an indigenous food security crop
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FOOD SUPPLY OF THE ARMED FORCES IN THE RUSSIAN FEDERATION AND ITS EFFICIENCY
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Baseline and Future Habitat Suitability Maps for Tree Species Prioritized for Food Tree Portfolios for Zambia
<p>This archive includes habitat suitability maps for six native food tree species (<em>Anisophyllea boehmii</em> Engl., <em>Parinari curatellifolia</em> Planch. ex Benth., <em>Strychnos cocculoides</em> Baker, <em>Tamarindus indica </em>L., <em>Thespesia garckeana </em>F.Hoffm. [syn. <em>Azanza garckeana </em>(F.Hoffm.) Exell & Hillc.] and <em>Uapaca kirkiana</em>|Müll.Arg.|) and four exotic food tree species (<em>Carica papaya</em> L., <em>Mangifera indica</em> L., <em>Persea americana</em> Mill. and <em>Psidium guajava</em> L.). These species had been prioritized by the project. Species suitability modelling followed the BIOCLIM algorithm whereby a climate suitability score is calculated that reflects the core distribution (5% - 95%) and the marginal distribution (0% - 5% or 95% or 100%) of a species in environmental space. The BIOCLIM algorithm was expanded to reflect the middle of the environmental range (25% - 75%).</p> <p>Species suitability was inferred through bioclimatic ranges documented in the Tree Globally Observed Environmental Ranges database (TreeGOER; Kindt <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">2023</a>). Baseline suitability maps used the historical climate documented by WorldClim 2.1 (Fick & Hijmans <a href="https://doi.org/10.1002/joc.5086">2017</a>). Future suitability maps correspond to a low emissions scenario (Shared Socio-Economic Pathway [SSP] 1-2.6) and a high emissions scenario (SSP 3-7.0), both calculated as medians from Global Climate Models (GCM) projections for the 2050s (2041-2060) available from WorldClim 2.1 (respectively from 23 and 18 GCMs).</p> <p>For larger sets of tree species native to Zambia, it has recently become possible to filter tree species by bioclimatic conditions of the planting site with the GlobalUsefulNativeTrees database (GlobUNT; Kindt et al. <a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>). The GlobUNT database internally uses TreeGOER environmental ranges and the same BIOCLIM algorithm that was used the generate the habitat suitability maps. Included in this archive is a list of native tree species to Zambia that were filtered for the use category of human food.</p> <p> </p> <p>When using these maps, cite the following:</p> <p>· Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. <em>International Journal of Climatology</em>, <em>37</em>(12), 4302–4315. <a href="https://doi.org/10.1002/joc.5086">https://doi.org/10.1002/joc.5086</a></p> <p>· Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. <em>Global Change Biology</em>, 29, 6303–6318. <a href="https://doi.org/10.1111/gcb.16914">https://doi.org/10.1111/gcb.16914</a></p> <p> </p> <p>Information in this archive were generated for the project of <strong>Piloting incentive-based agricultural portfolios for nutrition and resilience in Zambia</strong>. For more information about this project, check the website: <a href="https://www.worldagroforestry.org/project/piloting-incentive-based-agricultural-portfolios-nutrition-and-resilience-zambia">Piloting incentive-based agricultural portfolios for nutrition and resilience in Zambia | World Agroforestry | Transforming Lives and Landscapes with Trees</a></p>
Understanding Packaging (UP) Scorecard Food Chemicals of Concern (FCOC) List
<p><strong>About</strong></p> <p>This is a spreadsheet document containing the Food Chemicals of Concern (FCOC) List originally developed for use within the Chemicals of Concern (CoC) metric methodology applied within the <a href="https://upscorecard.org/">Understanding Packaging (UP) Scorecard</a>. The chemicals of concern within this list are prioritized and grouped into three tiers, where Tier 1 presents a shortlist of priority chemicals of concern to avoid, based on broad stakeholder agreement, and Tiers 2 and 3 present more extensive sets of chemicals that should not be used in the manufacture of food contact materials. The inclusion of substances on this list is based on research and information provided by leading NGOs and industry associations including Environmental Defense Fund (EDF), the Food Safety Alliance for Packaging (FSAP), and the Food Packaging Forum (FPF). To reflect the best science available, this document will be periodically updated in future versions of the scorecard.</p> <p><strong>License Information </strong></p> <p>The copyright of the Understanding Packaging (UP) Scorecard, this document, and related supporting materials is owned by the Single-Use Material Decelerator (SUM’D). SUM’D is a fiscally sponsored project of the Healthy Building Network (HBN), a registered 503(c) non-profit organization registered under United States law.</p> <p>Everyone is welcome to freely access these materials as well as make use of their content so long as they are properly and clearly cited. However, the materials may not be modified or republished without the written permission of SUM’D.</p> <p>Please cite this document as:</p> <p>Single-Use Material Decelerator (SUM’D). “Understanding Packaging (UP) Scorecard Food Chemicals of Concern (FCOC) List.” Version 0.4. November 28, 2023. URL: <a href="https://upscorecard.org/fcoc-list">https://upscorecard.org/fcoc-list</a> DOI: 10.5281/zenodo.8163917</p>
Food Liking and Risk of Sepsis: A Two-Sample Mendelian Randomization Study_Supplementary Materials
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Quantifying the distribution of proteins at the interface of oil-in-water food emulsions
<p>Dataset and software.</p>
FIGURE 5 in First study of food webs in a large glacial river: the trophic role of invasive trout
FIGURE 5 | Midstream and Upstream areas food webs scheme done considering stable isotopes and stomach content analysis. Dark arrows indicate a higher contribution to diet. Rainbow Trout is placed above Perch, Chinook, and Brown Trout since when analyzing stomach content, it trophic role depends on the ontogenetic stage. CF= collector-filterer, CG= collector-gatherer, SCR=scrapers, SHR= shredders, PRED= predator.
FIGURE 2 in First study of food webs in a large glacial river: the trophic role of invasive trout
FIGURE 2 | Values of δ15N and δ13C found in the Midstream areas (A) and Upstream areas (B). Error bars correspond to standard deviation. Abreviations: Hirudinea (Hir), Muscidae (M), Simuliidae (S), Smicridea dythira (Sd), Hydrobiosidae (Hy), Mastigoptila spp. (Ms), Klapopteryx kuscheli (Kk), Lymnaea (L), Meridialaris chiloeensis (Mc), Antarctoperla michaelseni (Am), Hyalella sp. (H), Luchoelmis cekalovici (Lc), Limnoperla jaffuelli (Lj), Andesiops sp. (Ad), Chironomidae (Chr), Filamentous algae (fil), Bratrachospermun sp. algae (Br), planktonic algae (plc), Debris associated to Myriophyllum sp. (My), Cladophora algae (Ch), macrophyta of genus Myriophyllum (plant-My). Colors indicate primary producers (green), herbivores (orange), non-piscivores predators (brown) and general predators (blue).
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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.