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  "author": null,
            
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  "author_email": null,
            
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  "citation": "Berry, D.P., 2025. Milk quality traits and mid-infrared 
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  "citation": "Berry, D.P., 2025. Milk quality traits and mid-infrared 
            
n
8
spectral data. Teagasc Open Data Platform. ",
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spectral data [Dataset]. Teagasc Open Data Platform. 
            
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doi.org/10.82253/eaj6-6s30",
            
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  "commercial_data": "false",
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  "commercial_data": "false",
            
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  "contact_email": "donagh.berry@teagasc.ie",
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  "contact_email": "donagh.berry@teagasc.ie",
            
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  "contact_name": "Dr Donagh Berry",
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  "contact_name": "Dr Donagh Berry",
            
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  "creator_user_id": "68d970d0-ff26-4dfe-ab51-46dde87e3f23",
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  "creator_user_id": "68d970d0-ff26-4dfe-ab51-46dde87e3f23",
            
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  "data_creator": [
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  "data_creator": [
            
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    "Audrey Mcdermott",
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    "Audrey Mcdermott",
            
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    "Giulio Visentin"
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    "Giulio Visentin"
            
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  ],
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  ],
            
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  "description_english": "This file contains information on individual 
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  "description_english": "This file contains information on individual 
            
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cow milk records and animal information. The animal information 
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cow milk records and animal information. The animal information 
            
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includes the breed and the parity number. The milk information 
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includes the breed and the parity number. The milk information 
            
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includes the date of milk sampling, time of milking,  milk proteins, 
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includes the date of milk sampling, time of milking,  milk proteins, 
            
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milk colour, milk technological traits,\r\nand the relative 
23
milk colour, milk technological traits,\r\nand the relative 
            
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mid-infrared spectral information. \r\n",
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mid-infrared spectral information. \r\n",
            
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  "doi": "",
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  "language": "en",
            
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  "license_id": "cc-by-nc-nd",
            
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  "license_title": "Creative Commons 
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  "license_title": "Creative Commons 
            
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Attribution-NonCommercial-NoDerivatives 4.0",
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Attribution-NonCommercial-NoDerivatives 4.0",
            
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  "license_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
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  "metadata_modified": "2025-09-12T14:39:31.942152",
            
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  "name": "milk-quality-traits-and-mid-infrared-spectral-data",
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  "name": "milk-quality-traits-and-mid-infrared-spectral-data",
            
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  "num_resources": 4,
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  "num_resources": 4,
            
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  "num_tags": 6,
            
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  "open_data": "Open data",
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  "open_data": "Open data",
            
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  "orcid_id": "https://orcid.org/0000-0003-4349-1447",
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2025-09-12T14:20:31.985845",
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    "created": "2025-09-12T14:20:31.985845",
            
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    "description": "",
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    "description": "",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "animal-and-bioscience-research",
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    "name": "animal-and-bioscience-research",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Animal and Bioscience Research",
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    "title": "Animal and Bioscience Research",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "personal_sensitive_data": "false",
            
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  "private": false,
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  "private": false,
            
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  "provenance": "This project aims to study the feasibilty of 
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  "provenance": "This project aims to study the feasibilty of 
            
65
predicting milk proteins and milk coagulation traits using the  milk 
66
predicting milk proteins and milk coagulation traits using the  milk 
            
66
mid-infrared spectral data. Different prediction models were tested as 
67
mid-infrared spectral data. Different prediction models were tested as 
            
67
well as different combinations of prediction features.   Measurements:  
68
well as different combinations of prediction features.   Measurements:  
            
68
+  The protein content was quantified using the HPLC. The colour was 
69
+  The protein content was quantified using the HPLC. The colour was 
            
69
quantified using a Chroma Meter CR400,  while the milk coagulation 
70
quantified using a Chroma Meter CR400,  while the milk coagulation 
            
70
properties were quantified using a Formograph.  More information can 
71
properties were quantified using a Formograph.  More information can 
            
71
be found in these papers: + Effectiveness of mid-infrared spectroscopy 
72
be found in these papers: + Effectiveness of mid-infrared spectroscopy 
            
72
to predict the color of bovine milk and the relationship between  milk 
73
to predict the color of bovine milk and the relationship between  milk 
            
73
color and traditional milk quality traits; 
74
color and traditional milk quality traits; 
            
74
https://www.sciencedirect.com/science/article/pii/S0022030216001612 + 
75
https://www.sciencedirect.com/science/article/pii/S0022030216001612 + 
            
75
Prediction of bovine milk technological traits from mid-infrared 
76
Prediction of bovine milk technological traits from mid-infrared 
            
76
spectroscopy analysis in dairy cows;  
77
spectroscopy analysis in dairy cows;  
            
77
https://www.sciencedirect.com/science/article/pii/S0022030215004932",
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https://www.sciencedirect.com/science/article/pii/S0022030215004932",
            
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  "related_resource": [
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  "related_resource": [
            
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    "Visentin, G., McDermott, A., McParland, S., Berry, D.P., Kenny, 
80
    "Visentin, G., McDermott, A., McParland, S., Berry, D.P., Kenny, 
            
80
O.A., Brodkorb, A., Fenelon, M.A. and De Marchi, M., 2015. Prediction 
81
O.A., Brodkorb, A., Fenelon, M.A. and De Marchi, M., 2015. Prediction 
            
81
of bovine milk technological traits from mid-infrared spectroscopy 
82
of bovine milk technological traits from mid-infrared spectroscopy 
            
82
analysis in dairy cows. Journal of Dairy Science, 98(9), 
83
analysis in dairy cows. Journal of Dairy Science, 98(9), 
            
83
pp.6620\u20136629. https://doi.org/10.3168/jds.2015-9323",
84
pp.6620\u20136629. https://doi.org/10.3168/jds.2015-9323",
            
84
    "McDermott, A., Visentin, G., McParland, S., Berry, D.P., Fenelon, 
85
    "McDermott, A., Visentin, G., McParland, S., Berry, D.P., Fenelon, 
            
85
M.A. and De Marchi, M., 2016. Effectiveness of mid-infrared 
86
M.A. and De Marchi, M., 2016. Effectiveness of mid-infrared 
            
86
spectroscopy to predict the color of bovine milk and the relationship 
87
spectroscopy to predict the color of bovine milk and the relationship 
            
87
between milk color and traditional milk quality traits. Journal of 
88
between milk color and traditional milk quality traits. Journal of 
            
88
Dairy Science, 99(5), pp.3267\u20133273. 
89
Dairy Science, 99(5), pp.3267\u20133273. 
            
89
https://doi.org/10.3168/jds.2015-"
90
https://doi.org/10.3168/jds.2015-"
            
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      "name": "Raw data",
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      "name": "Raw data",
            
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      "notes": "This file contains information on individual cow milk 
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      "notes": "This file contains information on individual cow milk 
            
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records and animal information. The animal information includes the 
167
records and animal information. The animal information includes the 
            
167
breed and the parity number. The milk information includes the date of 
168
breed and the parity number. The milk information includes the date of 
            
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milk sampling, time of milking, milk proteins, milk colour, milk 
169
milk sampling, time of milking, milk proteins, milk colour, milk 
            
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technological traits, and the relative mid-infrared spectral 
170
technological traits, and the relative mid-infrared spectral 
            
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information.",
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information.",
            
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