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On 06. oktobar 2022. 06:25:43 UTC, Richard Hůlek:
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Added resource Global Monitoring Plan 2nd Monitoring Report - Asia and Pacific to GMP2: Asia and Pacific
f | 1 | { | f | 1 | { |
2 | "author": "", | 2 | "author": "", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
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10 | "license_title": "", | 10 | "license_title": "", | ||
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13 | "metadata_created": "2022-10-06T06:23:09.281897", | 13 | "metadata_created": "2022-10-06T06:23:09.281897", | ||
n | 14 | "metadata_modified": "2022-10-06T06:25:10.237655", | n | 14 | "metadata_modified": "2022-10-06T06:25:43.302611", |
15 | "name": "gmp2-asia-and-pacific", | 15 | "name": "gmp2-asia-and-pacific", | ||
16 | "notes": "Data from Asia and Pacific contains information on POPs | 16 | "notes": "Data from Asia and Pacific contains information on POPs | ||
17 | concentrations in ambient air, human tissue - breast milk and surface | 17 | concentrations in ambient air, human tissue - breast milk and surface | ||
18 | water; for water-soluble fluorinated POPs only (perfluorooctane | 18 | water; for water-soluble fluorinated POPs only (perfluorooctane | ||
19 | sulfonic acid, its salts and perfluorooctane sulfonyl | 19 | sulfonic acid, its salts and perfluorooctane sulfonyl | ||
20 | fluoride).\r\n\r\nThe data was mainly collected over the period | 20 | fluoride).\r\n\r\nThe data was mainly collected over the period | ||
21 | between 2008 and 2014. However, some earlier data related to the | 21 | between 2008 and 2014. However, some earlier data related to the | ||
22 | historical importance were presented and briefly | 22 | historical importance were presented and briefly | ||
23 | described.\r\n\r\nAsia-Pacific Region is located in tropical, | 23 | described.\r\n\r\nAsia-Pacific Region is located in tropical, | ||
24 | sub-tropical temperate and sub-arctic climate area, with many | 24 | sub-tropical temperate and sub-arctic climate area, with many | ||
25 | countries under the strong influence of the monsoon climate. The | 25 | countries under the strong influence of the monsoon climate. The | ||
26 | region is characterized by huge agricultural and industrial activities | 26 | region is characterized by huge agricultural and industrial activities | ||
27 | to support large number of people, about 59% of the world | 27 | to support large number of people, about 59% of the world | ||
28 | population.\r\n\r\nIn the Asia-Pacific Region, several international | 28 | population.\r\n\r\nIn the Asia-Pacific Region, several international | ||
29 | and national POPs monitoring programmes on air and human milk are | 29 | and national POPs monitoring programmes on air and human milk are | ||
30 | available. For the air, passive sampling was conducted in Fiji in | 30 | available. For the air, passive sampling was conducted in Fiji in | ||
31 | collaboration with RECETOX (Centre of Excellence in Environmental | 31 | collaboration with RECETOX (Centre of Excellence in Environmental | ||
32 | Chemistry and Ecotoxicology, Brno, Czech Republic). In POPs Monitoring | 32 | Chemistry and Ecotoxicology, Brno, Czech Republic). In POPs Monitoring | ||
33 | Project in East Asian Countries which is initiated by Japan, sampling | 33 | Project in East Asian Countries which is initiated by Japan, sampling | ||
34 | was operated in ten countries (Cambodia, Indonesia, Japan, Republic of | 34 | was operated in ten countries (Cambodia, Indonesia, Japan, Republic of | ||
35 | Korea, Lao PDR, Malaysia, Mongolia, Philippines, Thailand and | 35 | Korea, Lao PDR, Malaysia, Mongolia, Philippines, Thailand and | ||
36 | Vietnam). In China and Japan, some ambient POPs air monitoring | 36 | Vietnam). In China and Japan, some ambient POPs air monitoring | ||
37 | programmes are performed. For human milk, China (including Hong Kong | 37 | programmes are performed. For human milk, China (including Hong Kong | ||
38 | SAR of China), Fiji, Kiribati, Philippines and Tonga have been | 38 | SAR of China), Fiji, Kiribati, Philippines and Tonga have been | ||
39 | involved in 3rd or 4th round WHO human milk survey. China, India and | 39 | involved in 3rd or 4th round WHO human milk survey. China, India and | ||
40 | Japan also have some national POPs monitoring programmes on human milk | 40 | Japan also have some national POPs monitoring programmes on human milk | ||
41 | and/or blood.\r\n\r\nIn addition to data on core media, the monitoring | 41 | and/or blood.\r\n\r\nIn addition to data on core media, the monitoring | ||
42 | data on non-core media, such as water, were also collected.\r\n\r\nThe | 42 | data on non-core media, such as water, were also collected.\r\n\r\nThe | ||
43 | region collaborated with the following programmes and strategic | 43 | region collaborated with the following programmes and strategic | ||
44 | partners to obtain data on core media: \r\n\u2022 Chemicals in | 44 | partners to obtain data on core media: \r\n\u2022 Chemicals in | ||
45 | Environment (Ministry of the Environment, Japan)\r\n\u2022 China | 45 | Environment (Ministry of the Environment, Japan)\r\n\u2022 China | ||
46 | National POPs Monitoring\r\n\u2022 Environmental Survey of Dioxins | 46 | National POPs Monitoring\r\n\u2022 Environmental Survey of Dioxins | ||
47 | (Ministry of the Environment, Japan)\r\n\u2022 GMP UNEP - WHO Milk | 47 | (Ministry of the Environment, Japan)\r\n\u2022 GMP UNEP - WHO Milk | ||
48 | Survey\r\n\u2022 POPs Monitoring Project in East Asian | 48 | Survey\r\n\u2022 POPs Monitoring Project in East Asian | ||
49 | Countries\r\n\u2022 UNU (United Nations University, Japan)\r\n\u2022 | 49 | Countries\r\n\u2022 UNU (United Nations University, Japan)\r\n\u2022 | ||
50 | PFOS in water around Bangkok, data in paper of Boontanon et al. | 50 | PFOS in water around Bangkok, data in paper of Boontanon et al. | ||
51 | (2013)\r\n\r\n\r\n## Lineage\r\n\r\nThe POPs Global Monitoring Plan | 51 | (2013)\r\n\r\n\r\n## Lineage\r\n\r\nThe POPs Global Monitoring Plan | ||
52 | Data Warehouse (GMP DWH) has been developed by the Stockholm | 52 | Data Warehouse (GMP DWH) has been developed by the Stockholm | ||
53 | Convention Regional Centre in the Czech Republic through the Research | 53 | Convention Regional Centre in the Czech Republic through the Research | ||
54 | Centre for Toxic Compounds in the Environment, Brno, Czech Republic | 54 | Centre for Toxic Compounds in the Environment, Brno, Czech Republic | ||
55 | (RECETOX) and the Institute of Biostatistics and Analyses, Masaryk | 55 | (RECETOX) and the Institute of Biostatistics and Analyses, Masaryk | ||
56 | University, Brno, Czech Republic, under the guidance of the GMP Global | 56 | University, Brno, Czech Republic, under the guidance of the GMP Global | ||
57 | Coordination Group, and based on Chapter 6 of the Guidance on the | 57 | Coordination Group, and based on Chapter 6 of the Guidance on the | ||
58 | Global Monitoring Plan for Persistent Organic Pollutants relevant to | 58 | Global Monitoring Plan for Persistent Organic Pollutants relevant to | ||
59 | data handling (UNEP/POPS/COP.6/INF/31).\r\n\r\nThe GMP Data Warehouse | 59 | data handling (UNEP/POPS/COP.6/INF/31).\r\n\r\nThe GMP Data Warehouse | ||
60 | (DWH) is designed to work with data from a wide range of heterogeneous | 60 | (DWH) is designed to work with data from a wide range of heterogeneous | ||
61 | sources, such as national monitoring programmes or large international | 61 | sources, such as national monitoring programmes or large international | ||
62 | monitoring networks.\r\nThe data reporting model involves compiling | 62 | monitoring networks.\r\nThe data reporting model involves compiling | ||
63 | and archiving primary GMP data within a \u201cregional data | 63 | and archiving primary GMP data within a \u201cregional data | ||
64 | repository\u201d in the GMP DWH. In addition, the GMP DWH compiles and | 64 | repository\u201d in the GMP DWH. In addition, the GMP DWH compiles and | ||
65 | archives aggregated data, including supplementary data, in cases where | 65 | archives aggregated data, including supplementary data, in cases where | ||
66 | no primary data is made available.\r\n\r\nOnly reliably reported | 66 | no primary data is made available.\r\n\r\nOnly reliably reported | ||
67 | concentration values can be accepted for any spatial or temporal | 67 | concentration values can be accepted for any spatial or temporal | ||
68 | comparison. Therefore, a multilevel evaluation procedure based on the | 68 | comparison. Therefore, a multilevel evaluation procedure based on the | ||
69 | annually aggregated concentration values is proposed in order to | 69 | annually aggregated concentration values is proposed in order to | ||
70 | maintain a high predictive value of the GMP records while avoiding | 70 | maintain a high predictive value of the GMP records while avoiding | ||
71 | bias in the concentration values.\r\n\r\nCompatible data records | 71 | bias in the concentration values.\r\n\r\nCompatible data records | ||
72 | stored in the GMP DWH are considered by members of the respective | 72 | stored in the GMP DWH are considered by members of the respective | ||
73 | regional organization group and validated for further use in the | 73 | regional organization group and validated for further use in the | ||
74 | publication.", | 74 | publication.", | ||
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77 | "organization": { | 77 | "organization": { | ||
78 | "approval_status": "approved", | 78 | "approval_status": "approved", | ||
79 | "created": "2022-10-05T15:55:42.861710", | 79 | "created": "2022-10-05T15:55:42.861710", | ||
80 | "description": "GMP Data Warehouse provides on-line software tools | 80 | "description": "GMP Data Warehouse provides on-line software tools | ||
81 | supporting the implementation of the Stockholm Convention on | 81 | supporting the implementation of the Stockholm Convention on | ||
82 | Persistent Organic Pollutants, especially the effectiveness evaluation | 82 | Persistent Organic Pollutants, especially the effectiveness evaluation | ||
83 | by providing comparable, harmonised and reliable information on | 83 | by providing comparable, harmonised and reliable information on | ||
84 | persistent organic pollutants levels globally in core environmental | 84 | persistent organic pollutants levels globally in core environmental | ||
85 | matrices: air, human tissues (breast milk, blood), and water.", | 85 | matrices: air, human tissues (breast milk, blood), and water.", | ||
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166 | "title": "GMP2: Asia and Pacific", | 189 | "title": "GMP2: Asia and Pacific", | ||
167 | "type": "dataset", | 190 | "type": "dataset", | ||
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