Software Release Catalog Ingest Tool (1.0.0)
Cal-ITP collects the GTFS feeds from a statewide list every night and aggregates it into a statewide table for analysis purposes only. Do not use for trip planner ingestion, rather is meant to be used for statewide analytics and other use cases. Note: These data may or may or may not have passed GTFS-Validation
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License information was derived automatically
## Overview
Eat is a dataset for object detection tasks - it contains annotations for 1,362 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
This statistic shows the share of species with records of marine debris ingestion worldwide in 2014. During this year, of seven species of turtles, 100 percent have recorded marine debris ingestions.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Credit report of Ingest Ci08 Bp 1650 Abidjan City 08koumassi contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The extent of direct interactions between large mammalian herbivores (LMH) and plant-dwelling arthropods (PDA), i.e., the ingestion of PDA by LMH, remains largely unexplored. Grazing LMH may ingest a variety of PDA, yet, it is unknown how different foraging strategies (i.e., browsing, grazing, etc.) influence the ingestion of PDA or whether individual variation within herds affects it. Here we examine how individual variation within a herd of browsing LMH impacts PDA ingestion. This was done using a DNA metabarcoding analysis on feces collected monthly from marked individuals within a herd of free-ranging goats. We found that goats frequently ingest PDA while feeding (all samples contains PDA), including a complex food-chain of herbivores, predators and parasites, which differed over the season and among individual goats. In total, 63 families of insects and 9 families of arachnids from 15 orders were ingested by the goats. Most ingested PDA were herbivores with reduced mobility, such as immature or sessile species. Highly mobile and noxious PDA were rarely detected. We show for the first time that ingestion of PDA by LMH is influenced by seasonal and individual variation within the herd and that it is common among LMH, regardless of feeding strategy or habitat.
This data set is comprised of results associated with a multi-stage experimental study to determine the effects of paralytic shellfish toxin ingestion by Common Murres (Uria aalge) conducted in 2021-2022. Data is comprised of eight spreadsheets covering each phase of the study including specific bird dosing data, behavioral observation data, foraging trial data, and tissue testing results for Saxitoxin (STX) and related congeners.
What We Eat in America (WWEIA) is the dietary intake interview component of the National Health and Nutrition Examination Survey (NHANES). WWEIA is conducted as a partnership between the U.S. Department of Agriculture (USDA) and the U.S. Department of Health and Human Services (DHHS). Two days of 24-hour dietary recall data are collected through an initial in-person interview, and a second interview conducted over the telephone within three to 10 days. Participants are given three-dimensional models (measuring cups and spoons, a ruler, and two household spoons) and/or USDA's Food Model Booklet (containing drawings of various sizes of glasses, mugs, bowls, mounds, circles, and other measures) to estimate food amounts. WWEIA data are collected using USDA's dietary data collection instrument, the Automated Multiple-Pass Method (AMPM). The AMPM is a fully computerized method for collecting 24-hour dietary recalls either in-person or by telephone. For each 2-year data release cycle, the following dietary intake data files are available: Individual Foods File - Contains one record per food for each survey participant. Foods are identified by USDA food codes. Each record contains information about when and where the food was consumed, whether the food was eaten in combination with other foods, amount eaten, and amounts of nutrients provided by the food. Total Nutrient Intakes File - Contains one record per day for each survey participant. Each record contains daily totals of food energy and nutrient intakes, daily intake of water, intake day of week, total number foods reported, and whether intake was usual, much more than usual or much less than usual. The Day 1 file also includes salt use in cooking and at the table; whether on a diet to lose weight or for other health-related reason and type of diet; and frequency of fish and shellfish consumption (examinees one year or older, Day 1 file only). DHHS is responsible for the sample design and data collection, and USDA is responsible for the survey’s dietary data collection methodology, maintenance of the databases used to code and process the data, and data review and processing. USDA also funds the collection and processing of Day 2 dietary intake data, which are used to develop variance estimates and calculate usual nutrient intakes. Resources in this dataset:Resource Title: What We Eat In America (WWEIA) main web page. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/wweianhanes-overview/ Contains data tables, research articles, documentation data sets and more information about the WWEIA program. (Link updated 05/13/2020)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
People Eat is a dataset for object detection tasks - it contains People annotations for 254 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Ingest Method for UNIX Operators of Data from ACRES CCRS (BIL) Tapes. ACRES Technical Document, Version: 2, October 1997
The average revenue per capita in the 'Ready-to-Eat Meals' segment of the food market in the United Kingdom was forecast to continuously increase between 2024 and 2029 by in total 36 U.S. dollars (+15.45 percent). After the tenth consecutive increasing year, the average revenue per capita is estimated to reach 269 U.S. dollars and therefore a new peak in 2029. Notably, the average revenue per capita of the 'Ready-to-Eat Meals' segment of the food market was continuously increasing over the past years.Find further information concerning the volume in the 'Fresh Fruits' segment of the food market in Germany and the average volume per capita in the 'Pasta' segment of the food market in Turkey. The Statista Market Insights cover a broad range of additional markets.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
This release provides a geographic breakdown of claims to the Eat Out to Help Out scheme for participating businesses with 25 or fewer outlets.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Anthropogenic debris in the world's oceans and coastal environments is a pervasive global issue that has both direct and indirect impacts on avifauna. The number of bird species affected, the feeding ecologies associated with an increased risk of debris ingestion, and selectivity of ingested debris have yet to be investigated in most of Australia's coastal and marine birds. With this study we aim to address the paucity of data regarding marine debris ingestion in Australian coastal and marine bird species. We investigated which Australian bird groups ingest marine debris, and whether debris-ingesting groups exhibit selectivity associated with their taxonomy, habitat or foraging methods. Here we present the largest multispecies study of anthropogenic debris ingestion in Australasian avifauna to date. We necropsied and investigated the gastrointestinal contents of 378 birds across 61 species, collected dead across eastern Australia. These species represented nine taxonomic orders, five habitat groups and six feeding strategies. Among investigated species, thirty percent had ingested debris, though ingestion did not occur uniformly within the orders of birds surveyed. Debris ingestion was found to occur in orders Procellariiformes, Suliformes, Charadriiformes and Pelecaniformes, across all surveyed habitats, and among birds that foraged by surface feeding, pursuit diving and search-by-sight. Procellariiformes, birds in pelagic habitats, and surface feeding marine birds ingested debris with the greatest frequency. Among birds which were found to ingest marine debris, we investigated debris selectivity and found that marine birds were selective with respect to both type and colour of debris. Selectivity for type and colour of debris significantly correlated with taxonomic order, habitat and foraging strategy. This study highlights the significant impact of feeding ecology on debris ingestion among Australia's avifauna.
Data Fig.1a: Source data on pH of crop lumens at 4h, 24h and 48h after feeding C. floridanus ants 10% honey water at 0h and at 4h after re-feeding ants at 48h.
Data Fig.1b: Source data on pH of crop lumens in C. floridanus ants that were either prevented to ingest formic acid containing poison gland secretions (FA-) or not (FA+) for 24h after feeding.
Data Fig.1c: Source data on pH of crop lumens 24h after feeding in seven formicine ant species that were either prevented to ingest formic acid containing poison gland secretions (FA-) or not (FA+).
Data Fig.1-supplementary figure 1: Source Data on the baseline acidity of C. floridanus (major and minor worker caste) under satiated and starved conditions.
Data Fig.1-supplementary figure 2: Source data on the frequency of acidopore grooming in C. floridanus ants within 30 min. after fluid ingestion (water or 10% honey water) compared to ants that did not receive any fluid (unfed).
Data Fig.1-supplementary figure 3: Source data on pH-mea...
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The Report Covers MEA Ready-to-eat Food Manufacturers and the Market is Segmented by Product Type (Instant Breakfast/Cereals, Instant Soups and Snacks, Ready Meals, Baked Goods, Meat Products, and Other Product Types); by Distribution Channel (Hypermarkets/Supermarkets, Convenience Stores, Specialty Stores, Online Retail Stores, and Other Distribution Channels); and by Geography (South Africa, Saudi Arabia, and Rest of Middle East and Africa). The market size and values are Provided in (USD million) during the forecasted years for the above segments.
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The global ready-to-eat food market is expected to reach US$ 195.9 billion in 2024 and US$ 391.1 billion by 2034. By 2034, the market is projected to rise at a 9.2% CAGR.
Attributes | Key Insights |
---|---|
Estimated Global Ready-to-eat Food Market Size (2024E) | US$ 195.9 billion |
Projected Ready-to-eat Food Market Value (2034F) | US$ 391.1 billion |
Value-based CAGR (2024 to 2034) | 9.2% |
Country-wise Insights
Countries | CAGR |
---|---|
United States | 6.5% |
Germany | 5.3% |
India | 6.9% |
China | 7.3% |
Category-wise Insights
Segment | Market Share (2024) |
---|---|
Dairy Products (Product Type) | 15.7% |
Food Service (Sales Channel) | 35% |
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
3390 Global import shipment records of Ready To Eat Food with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
383 Global import shipment records of Eat Processed with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
Software Release Catalog Ingest Tool (1.0.0)