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514 results for “Waste”
Fig 6 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 6: Representative images from sample of zebrafish fed with increasing proportions of food waste-based Converted Fish Flakes (CFF) for 32 days sent for histological analysis of intestine (paraffin embedding, 5 µm sections, stained with Hemotoxylin & Eosin and Sudan IV) of intestines of male (A-C); and female (D-F); liver of males (G-I) and liver of females (J-L)
Fig 2 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 2: Survival of zebrafish that were fed with diets of increasing proportions of food waste-based CFF in Trial 1 (A) and Trial 2 (B).
Figure 5 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Figure 5. Average VSI in zebrafish-fed diets containing increasing proportions of Converted Fish Flakes (CFF) for 32 days. n=3. Error bars represent ± one standard deviation. No significant difference was found between groups using a Kruskal-Wallis test
Fig 4 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 4: Average fecundity (A) and embryo survival rates (B) in zebrafish fed with diets containing increasing proportions of Converted Fish Flakes (CFF) for 32 days. n=3. Error bars represent ± one standard deviation. No significant difference was found between groups using a oneway ANOVA
Fig 1 in Recycling and repurposing food waste as feed for small-scale zebrafish (Danio rerio) aquaculture
Fig 1: Collection and production of food waste-based feed for a small-scale aquaculture study using zebrafish. (A & B) Some parts of food, such as peels, rinds, and stems, are separated during food preparation as pre-consumer food waste and are collected in designated bins to reduce contamination with undesirable materials such as paper, plastic, and chemicals. (C) To produce palatable and consistent feed, only a few food items were selected and processed. After collection food was frozen, then cooked, and portioned to contain 38% protein by weight. The cooked portions were then processed with a food processor into a smooth paste, which was dried in a dehydrator (D) to produce Converted Fish Flakes (CFF). (E-F) Commercial egg yolk fish flakes from pentair (E), Mixtures of CFF with commercial egg yolk fish flakes at different ratios of 25% (F), 50% (G) and 100% (H).
Dataset: Casella Waste Systems, Inc. (CWST) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 2 in Attraction of Bactrocera cucurbitae and Bactrocera dorsalis (Diptera: Tephritidae) to beer waste and other protein sources laced with ammonium acetate
Fig. 2. Response of males of Bactrocera cucurbitae and B. dorsalis to GF-120® NF Naturalyte® Fruit Fly Bait (= GF-120), Bugs for Bugs® Fruit Fly Bait (= Bugs for Bugs), Buminal® (= Buminal), and water (negative control) either in the absence (A), or presence (B) of ammonium acetate (= AA). For each species, different letters (lowercase: B. cucurbitae; uppercase: B. dorsalis) indicate significant differences according to ANOVA and the Fisher LSD tests at P ≤ 0.05.
Fig. 3 in Attraction of Bactrocera cucurbitae and Bactrocera dorsalis (Diptera: Tephritidae) to beer waste and other protein sources laced with ammonium acetate
Fig. 3. Response of females of Bactrocera cucurbitae and B. dorsalis to GF- 120® NF Naturalyte® Fruit Fly Bait (= GF-120), Bugs for Bugs® Fruit Fly Bait (= Bugs for Bugs), Buminal® (= Buminal), and water (negative control) either in the absence (A), or presence (B) of ammonium acetate (= AA). For each species, different letters (lowercase: B. cucurbitae; uppercase: B. dorsalis) indicate significant differences according to ANOVA and the Fisher LSD tests at P ≤ 0.05.
Fig. 1 in Attraction of Bactrocera cucurbitae and Bactrocera dorsalis (Diptera: Tephritidae) to beer waste and other protein sources laced with ammonium acetate
Fig. 1. Response of adult males (A) and females (B) of Bactrocera cucurbitae and B. dorsalis in field cages to Nu-Lure® Insect Bait (= Nu-Lure), beer waste, Bugs for Bugs® Fruit Fly Bait (= Bugs for Bugs), and Buminal® (= Buminal) either alone or with added ammonium acetate (= AA) or ammonium carbonate (= AC). Water was used as a negative control. For each fly species and sex, different letters (lowercase: B. cucurbitae; uppercase: B. dorsalis) indicate significant differences according to ANOVA and the Fisher LSD tests at P ≤ 0.05.
Fig. 4 in Attraction of Bactrocera cucurbitae and Bactrocera dorsalis (Diptera: Tephritidae) to beer waste and other protein sources laced with ammonium acetate
Fig. 4. Response of males of Bactrocera cucurbitae and B. dorsalis to GF-120® NF Naturalyte® Fruit Fly Bait (= GF-120), beer waste, Nu-Lure® Insect Bait (= Nu-Lure), and water (negative control) either in the absence (A), or presence (B) of ammonium acetate (= AA). For each species, different letters (lowercase: B. cucurbitae; uppercase: B. dorsalis) indicate significant differences according to ANOVA and the Fisher LSD tests at P ≤ 0.05.
Supplementary file to "Effect of heat treatment on microbiological safety of supermarket food waste as substrate for black soldier fly larvae (Hermetia illucens)"
Open the record for dataset details and reuse information.
Enrichment and characterisation of a mixed-source ethanologenic community degrading the organic fraction of municipal solid waste under minimal environmental control
<p>The spread sheets in this workbook correspond to the datasets evaluating different inocula sources for ethanol (EtOH) production from the organic fraction of municipal solid waste (OMSW) at initially acid and neutral pH, and initially aerobic and anaerobic conditions.</p>
Fig. 3 in Breeding Avifauna Of The Waste Water Treatment Plants, Located In Northern Left-Bank Part Of Ukraine
Fig. 3. Number of birds of ecological groups in zones: 1— landscape-biotopic characteristic; 2 — nests' location.
Data from: Wasted efforts impair random search efficiency and reduce choosiness in mate-pairing termites. American Naturalist
<div> <h1>README</h1> <a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/tree/main#readme"></a></div> <div> <h2>Article Information</h2> <a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/tree/main#article-information"></a></div> <p>This repository provides access to the data and source code used for the manuscript</p> <div> <h3><strong>Wasted efforts impair random search efficiency and reduce the level of choosiness in mate-pairing termites</strong></h3> <a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/tree/main#wasted-efforts-impair-random-search-efficiency-and-reduce-the-level-of-choosiness-in-mate-pairing-termites"></a></div> <div> <h4>Nobuaki Mizumoto, Naohisa Nataya, Ryusuke Fujisawa</h4> <a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/tree/main#nobuaki-mizumoto-naohisa-nataya-ryusuke-fujisawa"></a></div> <p>Contact, Nobuaki Mizumoto: <a href="mailto:nzm0095@auburn.edu">nzm0095@auburn.edu</a></p> <p>This paper is accepted at The American Naturalist.<br>Preprint is available at <a href="http://img.shields.io/badge/DOI-10.1101/2024.02.01.578198.svg" rel="nofollow">bioRxiv</a>.</p> <p>This study examines how movement patterns of mate searchers of a termite <em>Reticulitermes speratus</em> changes according to time. Then investigated how this change in movement patterns affect random search efficiency and mate choice behavior.<br>This includes tracking data, R codes to analyze it, and Cpp code for simulations.</p> <div> <h2>Table of Contents</h2> <a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/tree/main#table-of-contents"></a></div> <ul> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/README.md">README</a></li> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/scripts">scripts</a> <ul> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/scripts/output.R">output.R</a> - output all results</li> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/scripts/processing.R">processing.R</a> - data processing of coordinates obtained from servosphere</li> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/scripts/simulations.R">simulations.R</a> - for data-based simulations</li> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/scripts/onesim.cpp">onesim.cpp</a> - functions for simulations</li> </ul> </li> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/output">output</a> - all outputs are stored</li> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/data">data</a> <ul> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/data/raw">raw</a> - raw data in .csv <ul> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/data/raw/ANTAM_4day">ANTAM_4day</a> - directory includes raw data obtained from servosphere. Ignore the first four columns. col4: x, col5: y, col6: time</li> <li><strong>colonyfoundation.csv</strong> - data for colony foundation experiments.</li> <li><strong>tandem_sum.csv</strong> - the number of observations of individual units in each experiment. units include solomale (single male), solofemale (single female), heterotandem (female-male tandem), male tandem (male-male tandem), female tandem (female-female tandem), and tandem3 (tandem run with >= 3 individuals).</li> <li><strong>tandem_timedevelopment.csv</strong> - breakdown of tandem_sum.csv. The measurement was not summarized but for each observation bouts (5: 0-5 min, 10: 5-10 min, ...).</li> <li><strong>termite_weight.csv</strong> - Termite weight measurement. fresh: fresh weight in mg.</li> </ul> </li> <li><a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/blob/main/analysis/data/fmt">fmt</a> - formatted data created in processing.R and simulations.R. The formatted data will be used for output.R. The all formatted data are in .rda files. The .csv files with the same contents are also generated for reviewing purpose. <ul> <li><strong>df_all.rda</strong> - The processed data of trajectories for furthur analysis. It has three datafrmaes named df_all (trajectories with traveled distance information for each frame), df_MSD (MSD data for each individual), df_pause (duration of pauses for each pausing events for each individual). The corresponding csv files are df_all.csv, df_MSD.csv, and df_pause.csv</li> <li><strong>df_sum.rda</strong> - The file further processed df_all.rda to summarize all parameters for each individual. df_sum.csv is corresponding.</li> <li><strong>df_sim.rda</strong> - The simulation results that record encounter time for each searching attempts. encounter_time = 1501 indicates the failure to encounter. df_sim.csv is corresponding.</li> </ul> </li> </ul> </li> </ul> <div> <h2>Session information</h2> <a href="https://github.com/nobuaki-mzmt/termite-mate-search-cost/tree/main#session-information"></a></div> <div> <pre><code>R version 4.3.1 (2023-06-16 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 11 x64 (build 22621) Matrix products: default locale: [1] LC_COLLATE=English_United States.utf8 [2] LC_CTYPE=English_United States.utf8 [3] LC_MONETARY=English_United States.utf8 [4] LC_NUMERIC=C [5] LC_TIME=English_United States.utf8 time zone: Asia/Tokyo tzcode source: internal attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] CircStats_0.2-6 boot_1.3-28.1 MASS_7.3-60 [4] stringr_1.5.0 survival_3.5-5 survminer_0.4.9 [7] ggpubr_0.6.0 Rcpp_1.0.10 PupillometryR_0.0.5 [10] rlang_1.1.1 dplyr_1.1.2 viridis_0.6.3 [13] viridisLite_0.4.2 ggplot2_3.4.2 Rmisc_1.5.1 [16] plyr_1.8.8 lattice_0.21-8 exactRankTests_0.8-35 [19] car_3.1-2 carData_3.0-5 lme4_1.1-34 [22] Matrix_1.6-1 data.table_1.14.8 </code></pre> </div>
Gummern - Mining Waste Deposits Multispectral UAV Imagery
<h2>Abstract</h2> <p>Mining Waste Deposits Multispectral UAV Imagery from DJI Mavic 3M</p> <p>This depositry contains data generated within the European S34 project.</p> <h2>Metadata Information</h2> <table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>Mining Waste Deposits Multispectral UAV Imagery</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>Mining Waste Deposits Multispectral UAV Imagery from DJI Mavic 3M</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p>Multispectral, Mining Waste Deposits, UAV, Drone</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p>Gummern</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p>English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p>UAV</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p>06.09.2023</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p>06.09.2023</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p>Fromat</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p>0.05m</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p>0.25m</p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p>EPSG 4326</p> </td> </tr> <tr> <td> <p><strong>Constranits related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p>Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p>Enoc Sanz Ablanedo (esana@unileon.es)</p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p>UNILEON</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p>Enoc Sanz Ablanedo (esana@unileon.es)</p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p>English</p> </td> </tr> </tbody> </table>
Development Interior Product Using 3D Printing Technology and Waste Management
<p><span>This research aims to increase the variety of interior accessories that can be produced by MSMEs in Malang City and can be used as souvenirs because they carry elements of the locality of Malang City. The 3D printing technology that will be used is the lithophane technique and utilizes 3D printing pen waste on a household scale.</span></p>
Regression Model to Predict the Higher Heating Value of Poultry Waste from Proximate Analysis.
<p>The response variable is High Heating Values (HHV), while the independent variables are Fixed Carbon (FC), Volatile Matter (VM), and Ash (A). </p>
Predicting Response: Waste-based biopolymer slurry recipe for 3d-printing
<p>Waste-based biopolymer slurry recipe preparation description for 3d-printing. It combines cellulose floc fibers and xanthan gum. </p> <p>This recipe has been used for the print experiment in the paper:</p> <p>Rossi G., Chiujdea R., Colmo C., ElAlami C., Nicholas P., Tamke M., Ramsgaard Thomsen M. (2021) A material monitoring framework: tracking the curing of 3d printed cellulose-based biopolymers. In Acadia 2021 Realignments. </p>
Survey Content Urban Waste Tourism Workers
<p>This dataset includes data from a survey developed by URBANWASTE in the framework of WP3. In particular this dataset includes the answer from tourism workers surveyed in 11 pilot cases - Florence (IT), Nice (FR), Lisbon (PT), Syracuse (IT), Copenhagen (DK), Kavala (GR), Santander (ES), Nicosia (CY), Ponta Delgada (PT), Dubrovnik – Neretva county (HR), Tenerife (ES)- in Europe to investigate the efficiency of waste management system and structure in their pilot case and to understand the possible influence of tourism on waste management and production.</p>
Feeding indicators and bioremediation ability of the warty sea cucumber (Neostichopus grammatus) fed potential wastes from abalone (Haliotis midae) farming.
<p> Data set contains data used to estimate the consumption rate, faecal production rate, assimilation efficiency, growth and bioremediation ability of<em> Neostichopus grammatus</em> fed abalone waste, <em>Ulva lactuca</em> mixed with sand, pellet and sand.</p>
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.