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1,301 results for “milk”
Multiscale assessment of the effect of a stearic-palmitic sucrose ester on the crystallization of anhydrous milk fat
<p>Dataset belonging to publication 'Multiscale assessment of the effect of a stearic-palmitic sucrose ester on the crystallization of anhydrous milk fat'.</p> <p>Available via: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.foodres.2024.115243" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.foodres.2024.115243</a>.</p> <p> </p> <p>PLM = polarized light microscopy</p> <p>CryoSEM = cryo-scanning electron microscopy</p> <p>> data obtained after de-oiling fat samples with isobutanol (4x) and aceton (1x), see publication</p> <p>SAXS = small-angle X-ray scattering</p> <p>> data obtained after subtraction of intensity of empty capillary, see publication</p> <p>WAXS = wide-angle X-ray scattering</p> <p>> data obtained after subtraction of intensity of empty capillary, see publication</p> <p>USAXS = ultra-small-angle X-ray scattering</p> <p>> data obtained after subtraction of intensity of the capillary at 70°C, see publication</p> <p>DSC = differential scanning calorimetry</p> <p>> Samples are heated at 70°C for 10 min, and then crystallized following a certain protocol (see publication).</p> <p>> Samples are maintained one hour at their respective isothermal crystallization temperature.</p> <p>> Samples are rehaeted at 5°C/min to 70°C.</p> <p>SE = sucrose ester (SP30, HLB6)</p> <p>AMF = anhydrous milk fat</p> <p>AMFE = anhydrous milk fat + 0.5 wt% SE</p> <p>FC = fast cooling (20°C/min)</p> <p>SC = slow cooling (1°C/min)</p> <p> </p> <p>Project funding agency: Fonds Wetenschappelijk Onderzoek (FWO). Grant number: 1128923N. </p>
MALDI-TOF spectra of bovine, caprine and ovine milk and their mixtures
<p>In this dataset we provide MALDI-TOF spectra of bovine milk in caprine and ovine milk. The dataset contains normalized spectra of pure milk samples and their mixtures. <strong>Different level of adulteration (0.5%, 1%, 5%, 10%, 20%, 40%, 60%, 80%)</strong> were analyzed throughout the lactation period of goat and sheep. Two different ranges of peptide-protein spectra <strong>(500–4000 Da; 4–20 kDa)</strong> were used. Exported spectra are in TXT files (<em>m/z</em> and intensity) for processing in other software (ex. mMass). Acquisition methods are included.</p> <p>MALDI-TOF MS analysis was performed using an Autoflex Speed (Bruker Daltonics, Germany) equipped with a SmartBeam<sup>TM</sup> II laser (355 nm) and flexControl software (version 3.4 Build 135, Bruker Daltonics, Germany).</p> <p> </p> <p>The dataset is a part of Supplementary file for the manuscript:</p> <p><em><strong>Evaluation of MALDI‐TOF MS technology in small ruminants’ milk adulteration using raw bovine milk</strong></em> by L. Rysova, P. Cejnar, O. Hanus, V. Legarova, J. Havlik, H. Nejeschlebova, I. Nemeckova, R. Jedelska, M. Bozik, submitted to <em>Journal of Dairy Science</em> (Manuscript ID JDS.2021-21396) on 08-Oct-2021.</p>
Dataset of milk yield response of a suckling cow exposed to feed restrictions
<p>The detaset describes the response of a suckler cow in terms of milk yield (MY, kg·d<sup>-1</sup>), which was exposed to two feed restrictions (FR) consisting in the reduction of net energy requirements by 50%. The dataset has three columns, the first one is time (t) in days (d), the second one is also time (t2, d) and the third column is MY. The first FR started at t = 0 d and lasted untill t = 3 d, the second FR started at t = 21 d until t = 31 d. The second column for time is obtained from the first column by omitting data points corresponding to restriction and recovery periods. Negative values for t and t2 represent the pre-challenge period. </p>
Data of "Decreasing the level of hemicelluloses in sow's lactation diet affects the milk composition and post-weaning performances of low birthweight piglets"
<p>This study showed the effects of decreasing the levels of hemicelluloses in sow’s lactation diet on milk composition and on sow and piglet performances.</p> <p>Sow_performances.csv: A comma separated value file of data used to investigate the relationship between the performances of Swiss Large White sows and decreasing levels of hemicelluloses in lactation diet.</p> <p>Milk_composition.csv: A comma separated value file of data used to investigate the relationship between the milk composition of Swiss Large White sows and decreasing levels of hemicelluloses in lactation diet.</p> <p>Piglets_performances.csv: A comma separated value file of data used to investigate the relationship between the performances of Swiss Large White pigs and decreasing levels of hemicelluloses in lactation maternal diet.</p> <p>Feed_intake_piglets.csv: A comma separated value file of data used to investigate the relationship between the feed intake of Swiss Large White pigs and decreasing levels of hemicelluloses in lactation maternal diet.</p> <p>Diarrhea_postweaning.csv: A comma separated value file of data used to investigate the relationship between the post-weaning diarrhoea of Swiss Large White pigs and decreasing levels of hemicelluloses in lactation maternal diet.</p> <p>data_description.xlsx: meta data for Sow_performances.csv, Milk_composition.csv, Piglets_performances.csv, Feed_intake_piglets.csv and Diarrhea_postweaning.csv with description of variables.</p> <p> </p>
Siegfried Milke (m2297)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Siegfried Milke<br><u>musiXplora-ID</u>: m2297<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/m2297">https://musixplora.de/mxp/m2297</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1979<br><u>Sectors</u>: Sammlung<br><u>Professions (Musical)</u>: Instrumentensammler<br><u>Main Place of Activity</u>: Rastatt<br><br><br><u>Besitz:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>BesitzerInnen</td><td>Besitzer</td><td>Lautengitarre</td><td><a href="https://musixplora.de/mxp/4015462">4015462</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Kirsch 2023</td><td>The Long Lives of Old Lutes. The Cultural and Material History of the Veneration of Old Musical Instruments. Dissertation der Universität Leipzig 2022. . Erschienen als Enhanced Publication. LM-enc Band 2. Schriftenreihe der Forschungsstelle DIGITAL ORGANOLOGY am Musikinstrumentenmuseum der Universität Leipzig. herausgegeben von Josef Focht</td><td><a href="https://musixplora.de/mxp/5034090">5034090</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Ariaal mother and milk sIgA data from 2006 drought in northern Kenya
<p>Data utilized for the manuscript, "Human milk secretory immunity in relation to maternal nutrition and infant vulnerability in northern Kenya."</p>
Over 6 billion liters of Canadian milk wasted since 2012
<p>This file provides data used to approximate the annual Canadian milk yield based on herd statistics and estimated on-farm use. Using a mass balance approach, subtracting farm gate sales data, the balance is assumed to be wasted before leaving the farm gate. Data sources are provided with supporting literature where relevant.</p> <p>This recomended citation for this record is:</p> <p>Elliot, T., Goldstein, B. P., and Charlebois, S. (2025). Over 6 billion liters of Canadian milk wasted since 2012. <em>Ecological Economics, 227</em>, 108413. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.ecolecon.2024.108413" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.ecolecon.2024.108413</span></span></a></p>
FIG. 8. — A in The comparative milk-suckling reptile
FIG. 8. — A woodcut showing Poggio's snake ready to suckle milk from cow's udder. From Anonymous 1815: 347). Note that the illustration follows the same pattern of the 1520 Valencian edition (Romero Lucas 2001).
FIG. 5. — The serpent bova milking a cow. Illumination from manuscript MSL 11, fol. 137v in The comparative milk-suckling reptile
FIG. 5. — The serpent bova milking a cow. Illumination from manuscript MSL 11, fol. 137v, Archive of the Prague Castle, Library of the Metropolitan Chapter by St. Vitus.
FIG. 3 in The comparative milk-suckling reptile
FIG. 3. — While farmers are engaged in harvesting, the frustrated snakes look at the baby in the tree. From Magnus (1555: 437).
FIG. 7. — A medallion with a snake milking a cow from a in The comparative milk-suckling reptile
FIG. 7. — A medallion with a snake milking a cow from a tapestry preserved in the Musée Royal des Beaux-Arts, Brussels. From Crick-Kuntziger (1948: 73).
FIG. 4 in The comparative milk-suckling reptile
FIG. 4. — The scene of Caradoc's liberation from the serpent by Guignier, from ms. Paris BN fr. 12577. The snake coiled on Caradoc's arm was intentionally erased by an anonymous reader. From Harf-Lancner 1993: 483).
IMPACT OF US BROWN SWISS GENETICS ON MILK QUALITY FROM LOW-INPUT HERDS IN SWITZERLAND: INTERACTIONS WITH SEASON
<p>This study aimed to investigate the effect of, and interactions between, US Brown Swiss genetics and season on milk yield, basic composition and fatty acid profiles, from cows on low-input farms in Switzerland. Milk samples (n=1,976) were collected from 1,220 crossbreed cows with differing proportions of BS, Braunvieh and Original Braunvieh genetics on 40 farms during winter-indoor and summer-grazing seasons. Cows with more Brown Swiss genetics produced more milk in winter but not in summer, possibly because of underfeeding high-yielding cows on low-input pasture-based diets. Cows with more Original Braunvieh genetics produced milk with higher concentrations of (i) nutritionally desirable <em>trans</em>-9 palmitoleic, eicosapentaenoic and docosapentaenoic acids, throughout the year, and (ii) vaccenic and α-linolenic acids, total omega-3 fatty acids concentrations and a higher omega-3/omega-6 ratio during the summer-grazing period only. This suggests that overall milk quality could be improved by re-focusing breeding strategies on the cows’ ability to respond to local dietary environments and seasonal changes in feeding regimes.</p>
Dataset of management and growth curve derivatives to predict first lactation milk yield
<p>This dataset presents management and modeled variables of 78 Holstein-Friesian heifers. <span>Spreadsheets consist of seven sets of training and testing data randomly split with replacement.</span></p> <p></p> <p><span>In each spreadsheet, the included variables are:</span></p> <table> <tbody> <tr> <td><strong>Variable name</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>ID</td> <td>Heifer ID tag</td> </tr> <tr> <td>Mes</td> <td>Month of birth of the heifer</td> </tr> <tr> <td>Estacion</td> <td>Birth season, according to Mes</td> </tr> <tr> <td>L_305_F_2x2</td> <td>First lactation milk yield is calculated as the integral from day 1 to 305 of a Fourier model representing daily milk yield (kg)</td> </tr> <tr> <td>Edad_IA</td> <td>Heifer's age at effective artificial insemination</td> </tr> <tr> <td>servicios</td> <td>Number of inseminations</td> </tr> <tr> <td>Edad_1P</td> <td>Heifer's age at first calving</td> </tr> <tr> <td>P_parto</td> <td>Heifer's weight at first calving (kg)</td> </tr> <tr> <td>B_parto</td> <td>Heifer's condition score at first calving</td> </tr> <tr> <td>Sexo_C</td> <td>Calf sex</td> </tr> <tr> <td>Peso_C</td> <td>Calf weight at birth (kg)</td> </tr> <tr> <td>wt_3._F, wt_6._F, wt_9._F, wt_12._F, wt_15._F, wt_18._F, wt_21._F</td> <td>Heifer's weight at various months after birth, as per a Fourier model of Heifer's growth curve (kg)</td> </tr> <tr> <td>X1STd_3._F, X1STd_6._F, X1STd_9._F, X1STd_12._F, X1STd_15._F, X1STd_18._F, X1STd_21._F</td> <td>First derivative at several months after birth, based on a Fourier model of Heifer's growth curve</td> </tr> <tr> <td>X2STd_3._F, X2STd_6._F, X2STd_9._F, X2STd_12._F, X2STd_15._F, X2STd_18._F, X2STd_21._F</td> <td>Second derivative at several months after birth, based on a Fourier model of Heifer's growth curve</td> </tr> <tr> <td> <p>wt_3._L to wt_21._L, X1STd_3._L to X1STd_21._L, </p> <p>X2STd_3._P to X2STd_21._P</p> </td> <td>Variables generated from a Power model</td> </tr> </tbody> </table>
Supplementary files - Evaluation of MALDI-TOF MS technology in small ruminant milk adulteration using raw bovine milk
<p>The dataset is a part of Supplementary file for the manuscript:</p> <p><strong>Evaluation of MALDI-TOF MS technology in small ruminant milk adulteration using raw bovine milk</strong> by L. Rysova, P. Cejnar, O. Hanus, V. Legarova, J. Havlik, H. Nejeschlebova, I. Nemeckova, R. Jedelska, M. Bozik, submitted to <em>Journal of Dairy Science</em> (Manuscript ID JDS.2021-21396), Received October 8, 2021, Accepted January 31, 2022, Corresponding author: bozik@af.czu.cz, <a href="https://doi.org/10.3168/jds.2021-21396">https://doi.org/10.3168/jds.2021-21396</a></p> <p><strong>File 1:</strong> Detailed MALDI-TOF method description</p> <p><strong>File 2: </strong>Quantification of milk adulteration – calibration of the model Quantification of milk adulteration – calibration of the model</p> <p><strong>Table S1: </strong>Baseline characteristics of pure bovine milk which was used as an adulterant of caprine milk<strong> </strong></p> <p><strong>Table S2: </strong>Baseline characteristics of pure bovine milk which was used as an adulterant of ovine milk</p> <p><strong>Table S3: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using set A as the training set and set B as the test set.</p> <p><strong>Table S4: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using both, set A and set B , as the one training set and set C as the test set.</p> <p><strong>Table S5: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using set AB as the training set and set C as the test set.</p> <p>In this version <strong>SD values in Table S2 were corrected</strong>.</p>
Associations between Dictyocaulus viviparus bulk tank milk seropositivity and meteorological variables
<p>This dataset belongs to the scientific article with the same title "Associations between <em>Dictyocaulus viviparus</em> bulk tank milk seropositivity and meteorological variables" to be published in International Journal for Parasitology.</p>
METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS AND ITS DETERMINANTS OF RAW COW MILK CONTAMINATION IN SELECTED GAMO ZONE DISTRICT OF SOUTHERN ETHIOPIA
<p>We conducted this study, titled "Methicillin-Resistant Staphylococcus aurous and its Determinants of Raw Cow Milk Contamination in a Selected Gamo Zone District of Southern Ethiopia," in order to disseminate our findings to the scientific community. The research has its own strengths, such as the work we did on milk quality and potential milk borne pathogens, as well as the determinants of contamination at the selling point, which is only on fresh milk after it has been checked for freshness. As a result, the authors initiated this research based on practical challenges encountered while providing professional support to various producers in the milk selling point. Because of the irrational use of antibiotics among human and animal health in the study area, this research aimed to estimate the microbial load, prevalence of methicillin resistant <em>S. aurous</em> (MRSA), and determinants of raw cow milk contamination at selling points. This could be a source of drug resistance development in Ethiopia and in the study area in particular. Furthermore, due to resource constraints, the study focuses on bacteriological analysis, risk factor association, and drug sensitivity testing, which can serve as baseline data for future characterization and intervention. Hoping that we authors are interested to publish our research output in your journal with your eminent support for the article gets published.</p>
Data for Variation of human milk lactoferrin in relation to maternal-infant infection status among dyads from northern Kenya
<p><strong>Information about</strong><strong> Data</strong></p> <p> </p> <p>DOI: 10.5281/zenodo.6581038</p> <p>September 8, 2022</p> <p> </p> <p>Hello, and thanks for your interest in this data set.</p> <p> </p> <p>This file contains the data utilized for a journal manuscript, "Variation of human milk lactoferrin in relation to maternal-infant infection status among dyads from northern Kenya" by Nerli Paredes Ruvalcaba, Amelia N Odo, and Masako Fujita, under review for publication. Data are found under the Data tab, and the variable coding information under the Code tab.</p> <p> </p> <p>The data are for the concentrations of lactoferrin in mothers' milk and reported illnesses among 83 mother-infant dyads in Ariaal communities of northern Kenya. This is a subset of data on milk lactoferrin, characterized in the Biomarker Laboratory for Anthropological Research at Michigan State University in 2019, using cryogenically archived milk specimens. The milk specimens and other data on maternal and infant characteristics, including illness recalls, were originally collected in research among 241 mother-infant dyads by Masako Fujita in 2006 in collaboration with the Center for Public Health Research of Kenya Medical Research Institute (KEMRI) under approvals by the institutional review boards of the University of Washington and KEMRI.</p> <p> </p> <p>Please contact Fujita (masakof@msu.edu) for questions regarding the data.</p> <p> </p> <p>If you decide to use the data, please cite this file's DOI 10.5281/zenodo.6581038 and the above-mentioned manuscript upon publication, and acknowledge the following parties for grant support:</p> <p>National Science Foundation (BCS-0622358, BCS-1638167);</p> <p>Wenner-Gren Foundation (Gr. 7460, Gr. 9278);</p> <p>Provost Undergraduate Research Initiative Grant, Michigan State University; and </p> <p>African Futures Research Leadership Program of the Alliances for African Partnership, Michigan State University</p> <p> </p> <p>Thanks,</p> <p>Masako Fujita</p> <p> </p> <p>Masako Fujita, Associate Professor of Anthropology</p> <p>Michigan State University</p> <p>ORCID: 0000-0001-9173-6678</p> <p>Emaiil: masakof@msu.edu</p>
ATR Spectra of Human Milk Fat
<p>ATR spectra of human milk fat.</p> <p>This dataset was employed in the paper "Solvent-Free Lipid Separation and Attenuated Total Reflectance Infrared Spectroscopy for Fast and Green Fatty Acid Profiling of Human Milk" published in MDPI Foods, DOI: <a href="https://doi.org/10.3390/foods11233906">https://doi.org/10.3390/foods11233906</a>.</p>
Supporting data for: Persistent contamination of raw milk by Campylobacter jejuni ST-883
<p>Supporting data for the article: "Persistent contamination of raw milk by <em>Campylobacter jejuni</em> ST-883"</p>
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