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1,301 results for “milk”

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zenodo40/100

Data for dual behavioral-physiological buffering of mothers' milk

<p>This file (Ariaal_dual_buffering_data) contains the dataset used for the journal article manuscript entitled, "Dual behavioral-physiological buffering of mothers&rsquo; milk facilitate drought adaptability of pastoralists and agropastoralists in northern Kenya" by Fujita, Wander, Straight, and Wamwere-Njoroge. This manuscript is under review for publication as of August, 2024. The variables and data are found under the data tab, and the data coding information in the info &amp; code tab.</p> <p>&nbsp;</p> <p>Please contact Masako Fujita (ORCID 0000-0001-9173-6678, E-mail masakof@msu.edu) for questions regarding the data.</p> <p>&nbsp;</p> <p>Condition for data use: Please cite DOI (DOI: 10.5281/zenodo.13285825) for this data file and the article, and acknowledge the support from the grant agencies listed below:</p> <p>Data source/article:</p> <p>Fujita M. 2024. Data for dual behavioral-physiological buffering of mothers' milk. DOI: 10.5281/zenodo.13285825.</p> <p>Fujita M, Wander K, Straight B, Wamwere-Njoroge G. [Year] Dual behavioral-physiological buffering of mothers&rsquo; milk facilitate drought adaptability of pastoralists and agropastoralists in northern Kenya. [Journal name, article DOI].</p> <p>Grant support:</p> <p>&nbsp;&nbsp; National Science Foundation (BCS-0622358, BCS-1638167)</p> <p>&nbsp;&nbsp; Wenner-Gren Foundation (Gr. 7460, Gr. 9278)</p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Data for milk immune factors/nutrients and infection

<p><span>Data for milk immune factors/nutrients and infection</span></p> <p><span><span>&nbsp;</span></span></p> <p><span>Important</span><span> Information</span></p> <p><span>This file (Milk_immune_factors-nutrients&amp;infection_data) contains the dataset used for the journal article manuscript entitled, "</span><span>Lactose in human milk is associated with lower rates of infection during a drought" </span><span>by Fujita and Wander.</span><span> This</span><span> manuscript is under review for publication as of August, 2024. The variables and data are found under the data tab, and the data coding information in the info &amp; code tab. </span></p> <p>&nbsp;</p> <p><span>Please contact Masako Fujita (ORCID 0000-0001-9173-6678, E-mail masakof@msu.edu) for questions regarding the data.</span></p> <p>&nbsp;</p> <p><span>Condition for data use</span><span>: Please cite DOI: </span><span>10.5281/zenodo.13377353 </span><span>for this data file and the article, and acknowledge the support from the grant agencies listed below: </span></p> <p>&nbsp;</p> <p><span>Data source/article:</span></p> <ul> <li><span><span>&nbsp;</span>Fujita M</span><span>. 2024. Data for milk immune factors/nutrients and infection. DOI:<span>&nbsp; </span></span><span>10.5281/zenodo.13377353</span><span>.</span></li> <li><span><span>&nbsp;</span>Fujita M, Wander K</span><span>. [Year] </span><span>Lactose in human milk is associated with lower rates of infection during a drought. [Journal name, article DOI].</span></li> </ul> <p>&nbsp;</p> <p><span>Grant support:</span></p> <ul> <li><span>National Science Foundation (BCS-0622358, BCS-1638167) </span></li> <li><span>Wenner</span><span>-</span><span>Gren Foundation (Gr. 7460, Gr. 9278) </span></li> </ul>

opencc-by-4.0Aug 2024View details →
zenodo40/100

GWAS analysis for tolerance to heat stress and milk production, in subtropical Egyptian goats

<p>The conservation of local Egyptian goat genotypes has been a national program since 2009. Our study investigated different subtropical Egyptian goat populations (367 does) from different harsh ecological zones(hot Upper Egypt, Coastal Zone of Western Desert, and Wahati Desert Oasis) to identify genes associated with heat stress. We examined the physiological response of animals that were exposed to simulated summer grazing conditions, and physiological parameters including respiration rate, gas volume, rectal temperature, and skin temperature. Temperature Humidity Index ranged from 98.6 to 109.3, indicating that the animals were under severe heat stress. Results showed significant differences between the populations in their tolerance to heat stress, with Saidi goats being the most adapted to hot-dry conditions. Respiration rate was found to be the most reliable physiological trait for differentiating between animals in their tolerance to heat stress. The GWAS analysis involved 157 genotypes and 54,032 marker-SNPs, revealing 90 SNPs associated with heat stress and 70 SNPs associated with milk production. Chromosome 1 had the highest number of SNPs associated with heat-stress traits, while chromosome 4 exhibited the largest number of significant SNPs associated with milk production. Several genes were associated with heat stress response and tolerance in goats. These genes were categorized into three main groups: heat stress response, stress response, and reproduction, and feed intake. The first group includes USP54, KDM6A, and ETNPPL, which have multiple functions, such as steroid biosynthesis, metabolism, and stress response, and are also involved in key biological processes such as reproduction, immune response, and metabolism. The second group, which is mostly associated with immune response, includes GLTSCR2 and NAALADL2. Finally, a group of genes that may control animal feed intakes, including TRPM3 and ZBTB8A. Additionally, several genes, such as FHIT, GALNT18, RAPGEF5, and RBFOX1, linked to milk production, are known to be linked fertility, and fatty acid composition. These findings provide insights into the potential roles of these genes in heat stress response and tolerance in goats, and the genetic basis for improved milk production and animal welfare and can be used as selection markers in the ongoing breeding programs.</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Data for "Feeding climate and biodiversity goals with novel plant-based meat and milk alternatives"

<p>Research data supporting the study&nbsp; &quot;Feeding climate and biodiversity goals with novel plant-based meat and milk alternatives&quot;.</p> <p>It contains:<br> 1) merged.gdx - data derived from the original scenario database<br> 2) map.csv - mapping of food commodities to food groups used for analysis<br> 3) manure.csv -&nbsp; results on nitrogen input to cropland and N crop fertilization from manure<br> 4) AgMIP_regions.shp - shape file used to make maps<br> 5) Paper_visuals_NCOM.R - R script to analyze and visualize the data. It reproduces the main figures in the paper and the appendix<br> &nbsp;&nbsp; last tested for R Studio 2022.12.0 Build 353, Release (7d165dcf, 2022-12-03) for Windows 10 Pro, 64-bit operating system</p> <p>Instructions:<br> The R code, file 4, reads in files 1, 2 and 3 and generates figures, tables and maps.<br> The directories (line 50 and 58) need to be updated to the location of the data (the current folder).&nbsp;&nbsp;&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2023View details →
ClinicalTrials.gov40/100

Postmarketing Vedolizumab Milk-Only Lactation Study in Lactating Women With Active Ulcerative Colitis or Crohn's Disease

ClinicalTrials.gov study NCT02559713. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Cold Milk for Dysphagia in Preterm Infants

ClinicalTrials.gov study NCT04421482. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
dryad40/100

Data from: Providing long hay in a novel pipe feeder or a bucket reduces some, but not all abnormal oral behaviors in milk-fed dairy calves

Open the record for dataset details and reuse information.

publicJul 2023View details →
zenodo36/100

Data set of labeled scenes in a barn in front of automatic milking system

<p>This data set includes supplementary files to our article \emph{&quot;Deep learning image recognition of cow behavior near an automatic milking robot with an open data set&quot;} (Leonardo Santiago Benitez Pereira, Olli Koskela, Ilpo P&ouml;l&ouml;nen, Ilmo Aronen and Iivari Kunttu, in review, 2020). We acquired continuous video data over two-month period of cows in front of Automatic Milking Station (AMS). Each frame of the video is labeled as a single image belonging to one of classes described below.</p> <p>This data set includes 253 files of video data having in total \num{1526473} labeled frames. The data set used in the article consisted of 280 videos, but for privacy reasons, 27 video files including persons were removed from this data set, but their Java Script Object Notation (JSON) label files are left for, e.g., temporal analyses.</p>

opencc-by-4.0Aug 2020View details →
zenodo36/100

Supporting Data for "Casein micelles in milk as sticky spheres" (Soft Matter, doi:10.1039/D0SM01327G)

<p>Merged ultra-small-angle X-ray scattering (USAXS) and&nbsp;small-angle X-ray scattering (SAXS) data after processing using USAXS macros and Irena in IGOR Pro, using the procedures described in the paper.</p> <p>Three column data&nbsp;[Q in 1/&Aring;, I(Q) in 1/cm, uncertainty I(Q) in 1/cm]</p>

opencc-by-4.0Sep 2020View details →
zenodo36/100

FIG. 2. — A in The comparative milk-suckling reptile

FIG. 2. — A woodcut of the ATU 285A fable De homine paupere et serpente. From Steinhöwel (1479).

opencc-by-4.0Jun 2017View details →
zenodo36/100

Research data for "Revisiting neutron scattering data from deuterated milk" (Food Hydrocolloids, doi:10.1016/j.foodhyd.2020.106511)

<p>USANS and SESANS&nbsp;data used for the analysis in this paper. Data are either two- or three-column data (as specified below).&nbsp;Data were extracted from the figures in the papers using the macOS application GraphClick.</p> <p>USANS and SANS&nbsp;data were originally published in &quot;Protein aggregate structure under high pressure&quot; by&nbsp;Andrew J. Jackson&nbsp;and &nbsp;Duncan J. McGillivray (<em>Chem. Commun.</em>, 2011, <strong>47</strong>, 487-489, doi:10.1039/C0CC02314K). USANS data are three-column *.txt files [Q in &Aring;<sup>&ndash;1</sup>, I(Q) in cm<sup>&ndash;1</sup>, uncertainty in&nbsp;I(Q) in cm<sup>&ndash;1</sup>]. SANS data (numbered 1, 2, and 3 to denote different instrument configurations) are two-column *.txt files [Q in &Aring;<sup>&ndash;1</sup>, I(Q) in cm<sup>&ndash;1</sup>].</p> <p>SESANS data were originally published in &quot;Milk Gelation Studied with Small Angle Neutron Scattering Techniques and Monte Carlo Simulations&quot; by&nbsp;L&eacute;on F. van Heijkamp, Ignatz M. de Schepper, Markus Strobl, R. Hans Tromp, Jouke R. Heringa, and Wim G. Bouwman (<em>J. Phys. Chem. A</em>, 2010, <strong>114</strong>,&nbsp;2412&ndash;2426, doi:10.1021/jp9067735). SESANS data are three-column *.csv files [Z in &Aring;, normalized SESANS signal in cm<sup>&ndash;1</sup> &Aring;<sup>&ndash;2</sup>, uncertainty in&nbsp;normalized SESANS signal in cm<sup>&ndash;1</sup> &Aring;<sup>&ndash;2</sup>].</p>

opencc-by-4.0Oct 2020View details →
zenodo36/100

MSC Creamery Milk Bottle

Scan of a milk bottle from MSC Creamery found during construction at the Music Building in 2018. This artifact is highly reflective and it took much trial and error to get the textures to come out right. After filling the bottle with white sand and dusting the surface with powder this scan was captured. This model was created by Jeff Burnett using the Artec Space Spider handheld 3D scanner. Source: Objaverse 1.0 / Sketchfab

opencc-byNov 2020View details →
zenodo36/100

MSC Creamery Milk Bottle Cap

Given to CAP by a professor from the Agricultural program at MSU, this milk bottle cap originally would have been on top of an MSC Creamery milk bottle. Using the dairy cows on campus, the College bottled and sold MSC-brand milk. Today, most people are familiar with the dairy culture on campus through MSU-made ice cream at one of the locations of the Dairy Store on campus. MSU has changed its name a number of times throughout its history, allowing us to date objects and artifacts with the institution's name on it. In this case, 'MSC' stands for Michigan State College which was the official name from 1925-1955. Because of this, we know that the bottle cap dates within these three decades. CAP has also found MSC Creamery bottles during investigations, which indicates that the dairy culture on campus has been an tenet of the institution's identity. Photogrammetry model made by Jack A. Biggs using Agisoft Photoscan. Source: Objaverse 1.0 / Sketchfab

opencc-byMay 2019View details →
zenodo36/100

Amdo TIBETAN MILKING, CHURNING BUTTER, AND WEAVING

<p>TIBETAN MILKING, CHURNING BUTTER, AND WEAVING</p><p>Gser mo mtho&nbsp;གསེར་མོ་མཚོ།</p><p>On Friday, September 1, 2023, I used an iPhone 12 Pro Max to capture footage of my mother, Rgya kho (b. 1964), milking, churning butter, washing wool, and weaving at our home in Sha rgya Community, Mgo mang (Guomaying) Township, Mang rdzong (Guinan) County, Mstho Lho (Hainan) Tibetan Autonomous Prefecture, Mstho snon (Qinghai) Province, PR China.</p><p>&nbsp;</p><p>Rgya kho is a single mother of four daughters. She lived with her grandmother until her passing. Afterward, she lived with her mother. Her education was cut short in the second grade by her grandmother, who believed girls should stay home to care for the elderly, give birth, and raise children. This idea also applied to my two older sisters. Nevertheless, my mother has not forgotten the Tibetan alphabet taught by her teacher and is currently self-learning Tibetan to read textbooks and messages on WeChat.</p><p>&nbsp;</p><p>My mother and I have breakfast at 8 and begin milking our seven female yaks at 8:30, which takes about 30 minutes. On the day I recorded, it took forty minutes due to rainy weather.&nbsp;</p><p>&nbsp;</p><p>My mother prefers churning butter using the traditional method, citing time-saving benefits because she doesn't need to churn every day. In summer, she churns butter once every three days, and once a week in autumn and winter. Despite suggestions from villagers to switch to a machine churn, she continues with the traditional method, valuing the superior taste and health benefits of handmade butter. It takes at least two hours to churn butter the old-fashioned way. My mother begins churning at 1 PM and continues until 3 PM. My sister-in-law and I assist her, which is not in the film. In my childhood, I eagerly anticipated these days as Mother would share butter balls, my favorite, with me and neighboring children to our delight.</p><p>&nbsp;</p><p>Mother wove only during my primary school years. During that period, women from our neighborhood worked together to weave and make black tent material. However, with the contemporary preference for white tents due to convenience and warmth, I haven't seen Mother weaving since I started high school. Recently, when I asked for a handmade bag, Mother agreed to make one for me, which I videoed.&nbsp;</p><p>&nbsp;</p><p>TIBETAN TERMS</p><p>gser&nbsp;mo&nbsp;mtho&nbsp;གསེར་མོ་མཚོ།</p><p>mang&nbsp;zdong&nbsp;མང་རྫོང་།</p><p>mgo&nbsp;mang&nbsp;མགོ་མང་།</p><p>mstho&nbsp;lho&nbsp;མཚོ་ལྷོ།</p><p>mstho&nbsp;snon&nbsp;མཚོ་སྔོན།</p><p>rgaya&nbsp;kho&nbsp;རྒྱ་ཁོ།</p><p>sha&nbsp;rgya&nbsp;ཤ་རྒྱ།</p><p>&nbsp;</p><p>CHINESE TERMS&nbsp;</p><p>Guinan&nbsp;贵南</p><p>Guoma&nbsp;Ying&nbsp;过马营</p><p>Hainan&nbsp;海南</p><p>Qinghai&nbsp;青海</p><p>&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Code and Data for Manuscript "How raw milk-based adjunct cultures influence the microbial diversity in cheese"

<p>This repository contains the data and code used in the study "How raw milk-based adjunct cultures influence the microbial diversity in cheese" by Dreier et al. (2024). The study investigates the impact of raw milk-based adjunct cultures (NMAC) on the microbial diversity of cheese. The data includes 16S rRNA gene amplicon sequences from cheese samples, as well as metadata and code used for data analysis.</p>

openmit-licenseOct 2024View details →
zenodo36/100

Detection and characterization of small-sized microplastics (≥ 5 µm) in milk products

<p><strong>Data used in the scientific article&nbsp;to be published in Nature Scientific Reports.</strong></p>

opencc-by-nc-sa-4.0Nov 2021View details →
zenodo36/100

Ariaal Milk FOLR1 Data

<p><strong>About</strong><strong> the data and conditions for use</strong><strong>:</strong></p> <p>&nbsp;</p> <p>Thanks for your interest in the dataset, &quot;Ariaal Milk FOLR1 Data.&quot;</p> <p>&nbsp;</p> <p><strong>About the data</strong></p> <p>The data and biological specimens (human milk and blood) were originally collected by Masako Fujita (the Author) among breastfeeding women in Ariaal communities of northern Kenya, assisted by Ariaal men and women research staff, under approvals by the institutional review boards of the University of Washington and Kenya Medical Research Institute as well as permissions from the Marsabit District Office and the community Chiefs. The field data/specimen collection was supervised by Dr. Bettina Shell-Duncan and Dr. Yeri Kombe, and facilitated by the Centre for Public Health Research of KEMRI. The specimens went under embargo by Kenyan Ministry of Health, and subsequently subsequently shippted to the United States.</p> <p>&nbsp;</p> <p>Blood serum C-reactive protein concentration data were generated at the University of Washington Biodemography Lab via blood serum assays in 2008 supervised by Eleanor Brindle and Kathleen O&#39;Connor. Milk/blood specimens were subsequently made available for further analyses at Michigan State University via the Material Transfer Agreement with the Biodemography Laboratory of the University of Washington. Milk folate receptor-&alpha;, milk total protein, and blood serum homocysteine concentration data were then generated through assays at the Michigan State University Biomarker Laboratory for Anthropological Research between 2016 and 2017.&nbsp;</p> <p>&nbsp;</p> <p>Additional information on the data context can be found in a manuscript entitled, &quot;Characterizing the extent human milk folate is buffered against maternal malnutrition and infection in drought-stricken northern Kenya.&quot;</p> <p>&nbsp;</p> <p><strong>Conditions for Use</strong></p> <p>For data use, please cite the dataset using the DOI (Example: Fujita M. 2021. Ariaal Milk FOLR1 Data. doi: 10.5281/zenodo.5527188) and acknowledge the following grant support:</p> <p>- National Science Foundation of the United States (grant numbers BCS 0622358, BCS 1638167)</p> <p>- Wenner-Gren Foundation (grant number 7460, 9278)</p> <p>&nbsp;</p> <p>The Author retains all rights and welcomes proposals for collaborative research opportunities using this dataset. Please contact her via email masakof@msu.edu.</p> <p>&nbsp;</p> <p>Data archived in November, 2021</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Data for Human milk lactoferrin variation in relation to maternal inflammation and iron deficiency in northern Kenya

<p>This file contains the data utilized for a journal manuscript, &quot;Human milk lactoferrin variation in relation to maternal inflammation and iron deficiency in northern Kenya&quot; by Fujita, Wander, Paredes Ruvalcaba, and Odo, currently under review for publication. Data are found under the Data tab, and the variable coding information under the Code tab.</p> <p>Please contact Fujita (masakof@msu.edu) for questions regarding the data.</p> <p>In using the data, please cite the DOI for this file and the above-mentioned article. Also, please acknowledge the following parties for grant support:</p> <p>&nbsp;&nbsp; National Science Foundation (BCS-0622358, BCS-1638167);</p> <p>&nbsp;&nbsp; Wenner-Gren Foundation (Gr. 7460, Gr. 9278);</p> <p>&nbsp;&nbsp; African Futures Research Leadership Program of the Alliances for African Partnership, Michigan &nbsp; State University; and</p> <p>&nbsp;&nbsp; Provost Undergraduate Research Initiative Grant, Michigan State University&nbsp;</p> <p>The data originates in the 2006 fieldwork among the Ariaal people in northern Kenya under approvals by the institutional review boards of the University of Washington and Kenya Medical Research Institute. The lactoferrin concentration in milk was determined more recently using de-identified milk specimens, and as such required no further approvals.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

Milk Can (Raw Scan)

This was used by farmers to store the milk they collected from cows, typically for transport. First attempt at photogrammetry. Pictures taken by smartphone, and created using Reality Capture. Source: Objaverse 1.0 / Sketchfab

opencc-byApr 2022View details →
zenodo36/100

Deep microbiome-based characterization of the alterations in resident bacterial communities of pasteurized bovine milk contaminated with Salmonella Typhimurium over time

Open the record for dataset details and reuse information.

opencc-by-4.0Feb 2024View details →

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