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75 results for “dairy production”
Underlying Data for Manuscript titled "Hydrothermal Carbonization (HTC) of Dairy Waste: Effect of Temperature and Initial Acidity on the composition and quality of solid and liquid products"
<p>The embodied files include the raw data and initial calculations used to generate the extended data for Manuscript titled "Hydrothermal Carbonization (HTC) of Dairy Waste: Effect of Temperature and Initial Acidity on the composition and quality of solid and liquid products". The files include calculations for Phosphorus Recovery from Hydrochar, as well as Heavy Metals Fractions retrieved by the hydrochar (solid product of Hydrothermal Carbonization).</p>
REFLOW Products from Hydrothermal Carbonization of Dairy Waste- Yield Calculations
<p>Dataset involving yield calculations for the hydrochar produced from the hydrothermal carbonization of dairy waste to produce STRUBIAS material. Calculations are performed based on the collected data from the laboratory experiments performed in the University of Limerick.</p>
Data for ms. Dairy cattle welfare – the relative effect of legislation, industry standards and labelled niche production in five European countries
<p>Repository R 1: Scores on dimension values and weight on dimension from 38 international experts. </p> <p>Repository R2: Country Benchmark scores from 38 international experts.</p>
Dairy database for prediction of main environmental challenges to resilience and efficiency in cattle production systems at regional resolution
<p>The dairy database comprises average values for a wide range of variables (110 or 119), available in 4 worksheets: BasicFarmType (18 rows), DetailedFarmType (10 rows), ClimateClass+BasicFarmType (100 rows), NUTS+DetailedFarmType (1452 rows). Data are omitted when the sample size (n) is below 15, as per the confidentiality agreement under FADN data use rules.</p> <p>A combined farm characterisation database was constructed using two major data sources, the Farm Accountancy Data Network (FADN), and the Gridded Agro-Meteorological Data in Europe (AGRI4CAST). The database initially constructed was further enhanced through the addition of forage and crop yield data from the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA) developed Agro-Ecological Zones (AEZ) methodology database (FAO, 2012). The data was processed and is presented in D1.2 as two databases (dairy and beef), as averages for a wide range of variables at basic or detailed farm types, and at NUTS2 regional scale.</p> <p>Detailed FADN data (anonymised individual farm data) was requested for all ruminant and mixed farm types, over 10 years and the most recent data available at request (2011-2013) was utilised for the analysis. Following receipt of the data (~250k farms) this has been compiled into two consistent datasets, one for dairy (141,961) farms and one for beef farms (54,417). Each dataset comprises some values directly from the FADN data, but also a large number of calculated variables, to identify dairy or beef enterprise performance at per animal, per output product unit or per hectare. These values were calculated according to the respective dairy and beef enterprise allocation methodologies described by FADN. Further economic and structural variables have been calculated as necessary, as described in GenTORE D1.1 (Quiédeville et al., 2019).</p> <p>For each farm within the dataset, the structural, production and economic data from the FADN data is supplemented with the addition of meteorological data. The daily meteorological data was downloaded from the AGRI4STAT database web portal at a NUTS2 scale. For each NUTS2 region data was available for a number of weather stations. This large dataset was processed through scripts in STATA software to generate annual values for a wide range of climatic variables, including Temperature Humidity Index (THI), and indicators of drought and seasonality of weather. Furthermore, the altitude values per weather station allowed for a sub-grouping of weather station data by altitude zone (aligned with values available in the FADN dataset).</p> <p>Using a Latent Class Analysis process, the meteorological data was analysed to identify consistent environmental regions in Europe. Selected climatic variables, together with altitude zone, were utilised to statistically identify differing zones, and to classify each NUTS2 region to a zone, resulting in 6 lowland zones and 3 upland zones (above 600m) The LCA process enhanced an earlier method of manually overlaying the Metzger et al. (20054) pedo-climatic zone allocation, but closely correlates. Therefore for each farm in the dairy and beef datasets, meteorological and environmental zone data was allocated on a NUTS2 by altitude zone basis and this dataset has been subsequently assessed and submitted as papers; Quiédeville et al., (submitted May 2020) and Grovermann et al. (submitted May 2020).</p> <p>The GAEZ forage and crop yield data was downloaded from the GAEZ data portal as baseline and two future climate prediction periods: Baseline (1961-2000), 2020s (2011-2040), and 2050s (2041-2070), for the Hadley CM3 model and IPCC scenario A (the most extreme scenario). See: <a href="http://www.fao.org/nr/gaez/about-data-portal/agro-climatic-resources/en/">http://www.fao.org/nr/gaez/about-data-portal/agro-climatic-resources/en/#</a>). A zonal statistics was applied to the GAEZ layers to aggregate the data to NUT2 region and altitude zone (0-300m, 300-600m, 600m+) with raster package in R. The result is an average yield<a href="#_ftn1">[1]</a> for varying forages and crops for each altitude zone in each nuts2, for both the baseline and the future climate scenario. This data allows further analysis of the future impacts on cattle farming at both a regional scale, but also by farm type or system, which may be affected differently (Moakes et al. in preparation).</p> <p>All variable processing from FADN data is shown in the Annex, as performed in Stata software.</p> <p> </p> <p><a href="#_ftnref1">[1]</a> The mean was performed on non-zero yield pixels in order to exclude non-suitable areas from average.</p>
Bioprospecting for bioactive peptide production by lactic acid bacteria isolated from fermented dairy food
<p>Table S1 of the review article "Bioprospecting for bioactive peptide production by lactic acid bacteria isolated from fermented dairy food"</p> <p>by Davide Tagliazucchi, Serena Martini and Lisa Solieri</p>
GCMS data files for: Detection of dairy products from multiple taxa in Late Neolithic pottery from Poland: an integrated biomolecular approach
<p><span>The detection of dairy processing is pivotal to our understanding of ancient subsistence strategies. This culinary process is linked to key arguments surrounding the evolution of lactase persistence in prehistory. Despite extensive evidence indicating the presence of dairy products in ceramics in the European Neolithic, questions remain about the nature and extent of milk (and lactose) processing and consumption. In order to investigate past patterns of dairy processing, here we analyse ancient proteins identified from Late Neolithic Funnel Beaker ceramics, scrutinising the principle that curd and whey proteins partition during the production of dairy foods from milk. Our results indicate the presence of casein-rich dairy products in these vessels suggesting the creation of curd-enriched products from raw milk. Moreover, this analysis reveals the use of multiple species for their dairy products in the Late Neolithic Funnel Beaker culture, adding to a growing body of evidence that multiple taxa were exploited for dairying in the Neolithic. Alongside palaeoproteomic analysis we also apply lipid residue analysis, with discrepancies in these two approaches suggesting that effects from isotope mixing may be underestimating the frequency of milk use in prehistoric pottery, highlighting the utility of a multi-stranded approach.</span></p>
Effect On Serum Cholesterol Of Dairy Products With Addition Of Esterified Phytosterols
ClinicalTrials.gov study NCT02644109. IPD Sharing: NO. Countries: 1. Publications: 6.
GCMS data files for: Detection of dairy products from multiple taxa in Late Neolithic pottery from Poland: an integrated biomolecular approach
Open the record for dataset details and reuse information.
Extended Data for Manuscript titled "Hydrothermal Carbonization (HTC) of Dairy Waste: Effect of Temperature and Initial Acidity on the composition and quality of solid and liquid products"
<p>The document includes extended data for the manuscript titled "Hydrothermal Carbonization (HTC) of Dairy Waste: Effect of Temperature and Initial Acidity on the composition and quality of solid and liquid products". The data involved includes tables for the raw data of yield and recovery calculations, in addition to defining analysis methods for the solid and liquid products of the experimental reactions at the heart of the manuscript.</p>
Hypotensive Effects of Conventional Dairy Products: Role of Arterial Stiffness
ClinicalTrials.gov study NCT01577030. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Designing Biofunctional Dairy Foods: Matrix Structure of Dairy Products in Relation to Lipaemia
ClinicalTrials.gov study NCT03656367. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Changes in Blood Lipids After Long-term Consumption of n-3 LC-PUFA-Enriched Dairy Products
ClinicalTrials.gov study NCT00639041. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Effects of Long-term Consumption of Full-fat Dairy Products on Satiety, Body Weight and Glycemic Control
ClinicalTrials.gov study NCT04399460. IPD Sharing: NO. Countries: 1. Publications: 1.
Postprandial Effects of High-fat Meals With Different Dairy Products on Lipid Metabolism and Inflammation
ClinicalTrials.gov study NCT02836106. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Long-term Moderate Intervention With n-3 LC-PUFA-supplemented Dairy Products in Patients With Rheumatoid Arthritis
ClinicalTrials.gov study NCT00638950. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Fermented Dairy Products and The Metabolic Syndrome
ClinicalTrials.gov study NCT04755530. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Dietary Intervention With Únicla Dairy Products (DANTIAN)
ClinicalTrials.gov study NCT05019118. IPD Sharing: NO. Countries: 1. Publications: 2.
Dairy Product Consumption and Impact on Nutritional Adequacy, Environment and Diet Cost
ClinicalTrials.gov study NCT03407248. IPD Sharing: NO. Countries: 1. Publications: 1.
Role of Dairy Products in Weight Maintenance
ClinicalTrials.gov study NCT00686426. IPD Sharing: Not stated. Countries: 1. Publications: 2.
High Protein Dairy Products and Resistance Exercise in the Elderly
ClinicalTrials.gov study NCT06412302. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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