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  "agreement": "true",
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  "agreement": "true",
            
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  "alternative_identifier": "DOI: 10.1016/j.ejrh.2024.101879",
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  "alternative_identifier": "DOI: 10.1016/j.ejrh.2024.101879",
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "authors": [
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  "authors": [
            
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    {
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    {
            
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      "author_department": "Department of Plant and Soil Sciences",
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      "author_department": "Department of Plant and Soil Sciences",
            
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      "author_email": " meiringd@gmail.com",
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      "author_email": " meiringd@gmail.com",
            
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      "author_name": "Meiring",
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      "author_name": "Meiring",
            
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      "author_organization": "University of Pretoria",
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      "author_organization": "University of Pretoria",
            
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      "author_surname": "du Plessis",
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      "author_surname": "du Plessis",
            
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      "contact_same_as_author": "true"
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      "contact_same_as_author": "true"
            
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    },
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    },
            
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    {
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    {
            
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      "author_department": "Department of Plant and Soil Sciences",
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      "author_department": "Department of Plant and Soil Sciences",
            
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      "author_email": "john.annandale@up.ac.za",
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      "author_email": "john.annandale@up.ac.za",
            
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      "author_name": "John",
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      "author_name": "John",
            
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      "author_organization": "University of Pretoria",
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      "author_organization": "University of Pretoria",
            
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      "author_surname": "Annandale"
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      "author_surname": "Annandale"
            
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    },
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    },
            
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    {
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    {
            
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      "author_department": "",
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      "author_department": "",
            
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      "author_email": "nico.nbsystems@gmail.com",
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      "author_email": "nico.nbsystems@gmail.com",
            
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      "author_name": "Nico",
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      "author_name": "Nico",
            
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      "author_organization": "NBSystems",
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      "author_organization": "NBSystems",
            
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      "author_surname": "Benade"
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      "author_surname": "Benade"
            
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    }
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    }
            
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  ],
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  ],
            
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  "citation_title": "DU PLESSIS M, ANNANDALE J, BENADE N, VAN DER LAAN 
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  "citation_title": "DU PLESSIS M, ANNANDALE J, BENADE N, VAN DER LAAN 
            
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M, JOOSTE S, DU PREEZ C, BARNARD J, RODDA N, DABROWSKI J, GENTHE B and 
31
M, JOOSTE S, DU PREEZ C, BARNARD J, RODDA N, DABROWSKI J, GENTHE B and 
            
32
NELL P (2017) Risk Based, Site-Specific, Irrigation Water Quality 
32
NELL P (2017) Risk Based, Site-Specific, Irrigation Water Quality 
            
33
Guidelines: Volume 1 Description of Decision Support System. WRC 
33
Guidelines: Volume 1 Description of Decision Support System. WRC 
            
34
Report No. TT 727/17. Water Research Commission, Pretoria.",
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Report No. TT 727/17. Water Research Commission, Pretoria.",
            
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  "contact_person": [
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  "contact_person": [
            
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    {
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    {
            
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      "contact_department": "Department of Plant and Soil Sciences",
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      "contact_department": "Department of Plant and Soil Sciences",
            
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      "contact_email": " meiringd@gmail.com",
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      "contact_email": " meiringd@gmail.com",
            
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      "contact_name": "Meiring",
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      "contact_name": "Meiring",
            
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      "contact_orgnization": "University of Pretoria"
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      "contact_orgnization": "University of Pretoria"
            
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    }
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    }
            
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  ],
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  "creator_user_id": "bc28a33f-dc21-4795-a57f-da7cd1aa23ea",
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  "creator_user_id": "bc28a33f-dc21-4795-a57f-da7cd1aa23ea",
            
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  "data_classification": "both",
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  "data_classification": "both",
            
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  "data_collection_organization": "Agricultural Research Council",
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  "data_collection_organization": "Agricultural Research Council",
            
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  "data_structure_category": "structured",
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  "data_structure_category": "structured",
            
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  "dataset_language": "English",
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  "dataset_language": "English",
            
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  "dataset_license_url": 
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  "dataset_license_url": 
            
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"https://creativecommons.org/licenses/by-sa/4.0/",
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"https://creativecommons.org/licenses/by-sa/4.0/",
            
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  "did_author_or_contact_organization_collect_the_data": "true",
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  "did_author_or_contact_organization_collect_the_data": "true",
            
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  "email": "vanderLaanM@arc.agric.za",
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  "email": "vanderLaanM@arc.agric.za",
            
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  "extras": [
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  "extras": [
            
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    {
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    {
            
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      "key": "data_reference_date_from",
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      "key": "data_reference_date_from",
            
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      "value": "2017-01-01"
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      "value": "2017-01-01"
            
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    },
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    {
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      "key": "data_reference_date_to",
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      "value": "2017-01-01"
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      "value": "2017-01-01"
            
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  "id": "902cc56d-5103-43ec-8454-e7c765ccb167",
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  "id": "902cc56d-5103-43ec-8454-e7c765ccb167",
            
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  "isopen": false,
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  "isopen": false,
            
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  "keywords": "irrigation water quality, decision support system, 
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  "keywords": "irrigation water quality, decision support system, 
            
66
risk-based guidelines, site-specific guidelines, fitness-for-use, 
66
risk-based guidelines, site-specific guidelines, fitness-for-use, 
            
67
water quality requirements, South Africa, Soil Water Balance (SWB) 
67
water quality requirements, South Africa, Soil Water Balance (SWB) 
            
68
model, irrigation management, salinity, sodicity, microbial 
68
model, irrigation management, salinity, sodicity, microbial 
            
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contamination",
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contamination",
            
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  "license": "Open (Creative Commons)",
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  "license": "Open (Creative Commons)",
            
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  "license_id": null,
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  "license_id": null,
            
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  "license_title": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "metadata_created": "2026-02-20T06:57:25.340772",
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  "metadata_created": "2026-02-20T06:57:25.340772",
            
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      "minimum_vertical_extent": "0"
            
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  "name": 
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  "name": 
            
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based-site-specific-irrigation-water-quality-decision-support-system",
84
based-site-specific-irrigation-water-quality-decision-support-system",
            
85
  "notes": "This software-based decision support system (DSS) that 
85
  "notes": "This software-based decision support system (DSS) that 
            
86
provides generic and site-specific, risk-based irrigation water 
86
provides generic and site-specific, risk-based irrigation water 
            
87
quality guidelines for South Africa. The work had been initiated 
87
quality guidelines for South Africa. The work had been initiated 
            
88
through the Water Research Commission (WRC) and co-funded by the 
88
through the Water Research Commission (WRC) and co-funded by the 
            
89
Department of Agriculture, Forestry and Fisheries (DAFF). The DSS had 
89
Department of Agriculture, Forestry and Fisheries (DAFF). The DSS had 
            
90
been designed to support two main applications: (i) assessing the 
90
been designed to support two main applications: (i) assessing the 
            
91
fitness-for-use of irrigation water of known composition, and (ii) 
91
fitness-for-use of irrigation water of known composition, and (ii) 
            
92
determining water quality requirements for irrigation users. It had 
92
determining water quality requirements for irrigation users. It had 
            
93
operated using a three-tier framework, where Tier 1 produced 
93
operated using a three-tier framework, where Tier 1 produced 
            
94
conservative guideline assessments with minimal user input, Tier 2 
94
conservative guideline assessments with minimal user input, Tier 2 
            
95
enabled more detailed site-specific analyses using selectable 
95
enabled more detailed site-specific analyses using selectable 
            
96
variables (e.g., crop, soil texture, climate station and irrigation 
96
variables (e.g., crop, soil texture, climate station and irrigation 
            
97
management), and Tier 3 had been reserved for specialised ad hoc 
97
management), and Tier 3 had been reserved for specialised ad hoc 
            
98
investigations.\r\n\r\nThe project had progressed through phased 
98
investigations.\r\n\r\nThe project had progressed through phased 
            
99
deliverables that included an inception workshop, a literature review, 
99
deliverables that included an inception workshop, a literature review, 
            
100
a \u201ctechnology demonstrator\u201d, stakeholder engagement 
100
a \u201ctechnology demonstrator\u201d, stakeholder engagement 
            
101
sessions, development of a fully functional draft DSS, expert 
101
sessions, development of a fully functional draft DSS, expert 
            
102
testing/evaluation, and final reporting. The DSS had integrated 
102
testing/evaluation, and final reporting. The DSS had integrated 
            
103
calculation engines and databases and had used open-source development 
103
calculation engines and databases and had used open-source development 
            
104
tools (Lazarus for software development and Firebird as the relational 
104
tools (Lazarus for software development and Firebird as the relational 
            
105
database). For Tier 2 site-specific modelling, a simplified version of 
105
database). For Tier 2 site-specific modelling, a simplified version of 
            
106
the Soil Water Balance (SWB) model had been used to simulate 
106
the Soil Water Balance (SWB) model had been used to simulate 
            
107
soil\u2013crop\u2013climate interactions over multi-year climatic 
107
soil\u2013crop\u2013climate interactions over multi-year climatic 
            
108
records. Outputs had been presented via printable PDF screens grouped 
108
records. Outputs had been presented via printable PDF screens grouped 
            
109
by agricultural production components (soil quality, crop 
109
by agricultural production components (soil quality, crop 
            
110
yield/quality, and irrigation equipment), using a four-category 
110
yield/quality, and irrigation equipment), using a four-category 
            
111
fitness-for-use classification (Ideal, Acceptable, Tolerable, 
111
fitness-for-use classification (Ideal, Acceptable, Tolerable, 
            
112
Unacceptable).",
112
Unacceptable).",
            
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    "description": "The University of Pretoria (UP) is one of 
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    "description": "The University of Pretoria (UP) is one of 
            
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Africa\u2019s top universities and the largest contact university in 
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Africa\u2019s top universities and the largest contact university in 
            
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South Africa. We produce socially impactful research to find solutions 
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South Africa. We produce socially impactful research to find solutions 
            
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for the world\u2019s most pressing issues. We have a high quality of 
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for the world\u2019s most pressing issues. We have a high quality of 
            
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teaching and learning in the classroom, online, or in communities. We 
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teaching and learning in the classroom, online, or in communities. We 
            
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have support in place for our students to graduate on time as 
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have support in place for our students to graduate on time as 
            
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well-rounded, responsible citizens fully prepared for the world beyond 
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well-rounded, responsible citizens fully prepared for the world beyond 
            
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university.",
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university.",
            
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    "title": "University of Pretoria",
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    "title": "University of Pretoria",
            
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  "publication_date": "2017-07-01",
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  "publication_date": "2017-07-01",
            
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  "publisher": "Water Research Commission",
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  "publisher": "Water Research Commission",
            
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      "name": 
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      "name": 
            
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