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  "author": "",
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  "data_state": "active",
            
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  "dctype": "Dataset",
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  "dctype": "Dataset",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "670b37d9-d64c-430c-954f-7ba67f2c9dc3",
            
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  "isopen": true,
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  "isopen": true,
            
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  "jurisdiction": "",
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  "jurisdiction": "",
            
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  "language": "English",
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  "language": "English",
            
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  "license_id": "cc-by",
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
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  "license_title": "Creative Commons Attribution",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "likes": 0,
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  "likes": 0,
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2024-10-21T05:14:58.788293",
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  "metadata_created": "2024-10-21T05:14:58.788293",
            
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  "metadata_modified": "2024-10-29T02:12:50.214827",
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  "metadata_modified": "2024-10-29T02:13:26.933972",
            
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  "name": "arbovirus-data",
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  "name": "arbovirus-data",
            
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  "notes": "__Important notes for interpretation__\r\n\r\n__Factors 
23
  "notes": "__Important notes for interpretation__\r\n\r\n__Factors 
            
24
influencing exposure__: High mosquito numbers do not always lead to an 
24
influencing exposure__: High mosquito numbers do not always lead to an 
            
25
increase in human arbovirus cases. Other factors, such as weather, 
25
increase in human arbovirus cases. Other factors, such as weather, 
            
26
human behaviour, and the use of protective measures, can affect the 
26
human behaviour, and the use of protective measures, can affect the 
            
27
risk of exposure to mosquito-borne viruses.\r\n\r\n__Trapping 
27
risk of exposure to mosquito-borne viruses.\r\n\r\n__Trapping 
            
28
locations__: Locations on maps reflect the mid-point of sites within a 
28
locations__: Locations on maps reflect the mid-point of sites within a 
            
29
broader location, not exact mosquito trap sites (as some trapping 
29
broader location, not exact mosquito trap sites (as some trapping 
            
30
sites are located on private properties).\r\n\r\n__Seasonal 
30
sites are located on private properties).\r\n\r\n__Seasonal 
            
31
variation__: Some locations may consistently experience higher 
31
variation__: Some locations may consistently experience higher 
            
32
mosquito numbers throughout a season while others may have lower 
32
mosquito numbers throughout a season while others may have lower 
            
33
numbers and others may have sudden increases in mosquito numbers at 
33
numbers and others may have sudden increases in mosquito numbers at 
            
34
points during the season. There may also be variability in mosquito 
34
points during the season. There may also be variability in mosquito 
            
35
numbers between seasons.\r\n\r\n__Positive test results__: For 
35
numbers between seasons.\r\n\r\n__Positive test results__: For 
            
36
mosquito traps, a detection represents the presence of virus in at 
36
mosquito traps, a detection represents the presence of virus in at 
            
37
least one mosquito in a sample of trapped mosquitoes. For sentinel 
37
least one mosquito in a sample of trapped mosquitoes. For sentinel 
            
38
chickens, a positive test result means that one or more chickens in a 
38
chickens, a positive test result means that one or more chickens in a 
            
39
flock have tested positive for antibodies directed against a 
39
flock have tested positive for antibodies directed against a 
            
40
particular virus for the first time, suggesting a newly acquired 
40
particular virus for the first time, suggesting a newly acquired 
            
41
infection. Infection in chickens gives an indication that there is 
41
infection. Infection in chickens gives an indication that there is 
            
42
enough virus to transmit to humans.",
42
enough virus to transmit to humans.",
            
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  "num_resources": 5,
            
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  "num_tags": 0,
            
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2013-05-16T22:47:21.706272",
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    "created": "2013-05-16T22:47:21.706272",
            
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    "description": "The NSW Ministry of Health supports the Secretary, 
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    "description": "The NSW Ministry of Health supports the Secretary, 
            
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the NSW Minister for Health and Medical Research (who is the Health 
49
the NSW Minister for Health and Medical Research (who is the Health 
            
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cluster minister) and the Minister for Mental Health, Regional Youth 
50
cluster minister) and the Minister for Mental Health, Regional Youth 
            
51
and Women to perform their executive government and statutory 
51
and Women to perform their executive government and statutory 
            
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functions. This includes promoting, protecting, developing, 
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functions. This includes promoting, protecting, developing, 
            
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maintaining and improving the health and wellbeing of the people of 
53
maintaining and improving the health and wellbeing of the people of 
            
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NSW, while considering the needs of the state and the available 
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NSW, while considering the needs of the state and the available 
            
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finances and resources.\r\n\r\nThe NSW Ministry of Health is also the 
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finances and resources.\r\n\r\nThe NSW Ministry of Health is also the 
            
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system manager for the NSW public health system and consists of 
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system manager for the NSW public health system and consists of 
            
57
ministry branches, centres and offices, and two temporary emergency 
57
ministry branches, centres and offices, and two temporary emergency 
            
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operations centres.",
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operations centres.",
            
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    "image_url": "https://data.nsw.gov.au/data/images/NSW-Health.png",
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "nsw-health",
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    "name": "nsw-health",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "NSW Ministry of Health",
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    "title": "NSW Ministry of Health",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  "owner_org": "015152b6-7d96-4a44-bccc-4c36750ca8ed",
            
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2024-10-21T05:17:46.851310",
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      "created": "2024-10-21T05:17:46.851310",
            
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      "datastore_contains_all_records_of_source_file": false,
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      "datastore_contains_all_records_of_source_file": false,
            
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      "description": "This dataset includes counts of the two types of 
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      "description": "This dataset includes counts of the two types of 
            
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mosquito species that are trapped through the NSW Arbovirus 
79
mosquito species that are trapped through the NSW Arbovirus 
            
80
Surveillance and Mosquito Monitoring Program by location, local 
80
Surveillance and Mosquito Monitoring Program by location, local 
            
81
government area and local health district by the week ending Saturday 
81
government area and local health district by the week ending Saturday 
            
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(epidemiological week) from 1984 onwards. The two mosquito species 
82
(epidemiological week) from 1984 onwards. The two mosquito species 
            
n
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included in the dataset, Aedes vigilax and Culex annulirostris, are 
n
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included in the dataset, _Aedes vigilax_ and _Culex annulirostris_, 
            
84
considered the most competent vectors of arboviruses that can cause 
84
are considered the most competent vectors of arboviruses that can 
            
85
diseases in humans. Mosquito trapping data are collected between 
85
cause diseases in humans. Mosquito trapping data are collected between 
            
86
around October and April each season, which is the period during which 
86
around October and April each season, which is the period during which 
            
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there is peak mosquito and arbovirus activity.",
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there is peak mosquito and arbovirus activity.",
            
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      "format": "CSV",
            
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      "id": "34758d48-3434-4fd8-bf55-15e34d830c85",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Mosquito counts",
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      "name": "Mosquito counts",
            
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      "package_id": "670b37d9-d64c-430c-954f-7ba67f2c9dc3",
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      "url": 
            
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source/34758d48-3434-4fd8-bf55-15e34d830c85/download/mosq_counts.csv",
            
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      "url_type": "upload"
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      "url_type": "upload"
            
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      "created": "2024-10-21T05:18:39.078170",
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      "datastore_contains_all_records_of_source_file": false,
            
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      "description": "These data include minimum and maximum 
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      "description": "These data include minimum and maximum 
            
112
temperature data (in Celsius) by the week ending Saturday 
112
temperature data (in Celsius) by the week ending Saturday 
            
113
(epidemiological week) for all local government areas and local health 
113
(epidemiological week) for all local government areas and local health 
            
114
districts in NSW from 1984 to present. Original temperature data were 
114
districts in NSW from 1984 to present. Original temperature data were 
            
115
extracted as gridded data from SILO Long Paddock at 
115
extracted as gridded data from SILO Long Paddock at 
            
116
https://www.longpaddock.qld.gov.au/silo/gridded-data.",
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https://www.longpaddock.qld.gov.au/silo/gridded-data.",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "",
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      "hash": "",
            
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      "metadata_modified": "2024-10-21T05:19:10.217917",
            
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      "mimetype": "text/csv",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Temperature data",
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      "name": "Temperature data",
            
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      "package_id": "670b37d9-d64c-430c-954f-7ba67f2c9dc3",
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      "package_id": "670b37d9-d64c-430c-954f-7ba67f2c9dc3",
            
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      "state": "active",
            
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      "url": 
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      "url": 
            
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urce/75dbb788-981d-46c9-9911-368d06be2829/download/temp_with_lhd.csv",
            
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      "url_type": "upload"
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      "url_type": "upload"
            
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    {
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    {
            
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      "created": "2024-10-21T05:19:10.237186",
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      "created": "2024-10-21T05:19:10.237186",
            
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      "datastore_active": false,
            
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      "datastore_contains_all_records_of_source_file": false,
            
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      "description": "This dataset includes detections of three 
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      "description": "This dataset includes detections of three 
            
141
arboviruses (Murray Valley encephalitis, Kunjin and Japanese 
141
arboviruses (Murray Valley encephalitis, Kunjin and Japanese 
            
142
encephalitis) in sentinel chickens by location, local government area 
142
encephalitis) in sentinel chickens by location, local government area 
            
143
and local health district by the week ending Saturday (epidemiological 
143
and local health district by the week ending Saturday (epidemiological 
            
144
week) from 2003 onwards. Chickens are bled weekly and tested for the 
144
week) from 2003 onwards. Chickens are bled weekly and tested for the 
            
145
presence of Murray Valley encephalitis, Kunjin and Japanese 
145
presence of Murray Valley encephalitis, Kunjin and Japanese 
            
146
encephalitis.",
146
encephalitis.",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "",
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      "hash": "",
            
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      "last_modified": "2024-10-21T05:19:10.169625",
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      "metadata_modified": "2024-10-21T05:19:40.380408",
            
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      "mimetype": "text/csv",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Sentinel chicken data",
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      "name": "Sentinel chicken data",
            
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      "package_id": "670b37d9-d64c-430c-954f-7ba67f2c9dc3",
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      "state": "active",
            
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      "url": 
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      "url": 
            
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/resource/3009df05-2b08-494c-bb50-1d3a6539ea72/download/chickens.csv",
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      "url_type": "upload"
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      "url_type": "upload"
            
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    {
            
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      "created": "2024-10-21T05:19:40.397346",
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      "created": "2024-10-21T05:19:40.397346",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "datastore_contains_all_records_of_source_file": false,
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      "datastore_contains_all_records_of_source_file": false,
            
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      "description": "This dataset includes detections of all 
170
      "description": "This dataset includes detections of all 
            
171
arboviruses in trapped mosquitoes by location, local government area 
171
arboviruses in trapped mosquitoes by location, local government area 
            
172
and local health district by the week ending Saturday (epidemiological 
172
and local health district by the week ending Saturday (epidemiological 
            
173
week) from 1989 onwards. Arboviruses that are considered high risk 
173
week) from 1989 onwards. Arboviruses that are considered high risk 
            
174
include Ross River, Barmah Forest, Murray Valley encephalitis, Kunjin 
174
include Ross River, Barmah Forest, Murray Valley encephalitis, Kunjin 
            
175
and Japanese encephalitis viruses.",
175
and Japanese encephalitis viruses.",
            
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      "hash": "",
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      "hash": "",
            
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      "metadata_modified": "2024-10-28T00:16:02.012374",
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      "metadata_modified": "2024-10-28T00:16:02.012374",
            
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      "mimetype": "text/csv",
            
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      "mimetype_inner": null,
            
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      "name": "Mosquito virus detections",
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      "name": "Mosquito virus detections",
            
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      "package_id": "670b37d9-d64c-430c-954f-7ba67f2c9dc3",
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      "package_id": "670b37d9-d64c-430c-954f-7ba67f2c9dc3",
            
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      "size": 120019,
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      "size": 120019,
            
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      "state": "active",
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      "state": "active",
            
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      "url": 
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      "url": 
            
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9-b3c8-48d7-b07f-9d9b6fa8f271/download/mosquito_virus_detections.csv",
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9-b3c8-48d7-b07f-9d9b6fa8f271/download/mosquito_virus_detections.csv",
            
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      "url_type": "upload"
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      "url_type": "upload"
            
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    },
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    },
            
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    {
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    {
            
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      "cache_last_updated": null,
            
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      "created": "2024-10-21T05:20:14.421249",
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      "created": "2024-10-21T05:20:14.421249",
            
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      "datastore_active": true,
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      "datastore_active": true,
            
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      "datastore_contains_all_records_of_source_file": false,
            
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      "description": "These data include mean and maximum rainfall 
199
      "description": "These data include mean and maximum rainfall 
            
200
data (in millimetres) by the week ending Saturday (epidemiological 
200
data (in millimetres) by the week ending Saturday (epidemiological 
            
201
week) for all local government areas and local health districts in NSW 
201
week) for all local government areas and local health districts in NSW 
            
202
from 1984 to present. Original rainfall data were extracted as gridded 
202
from 1984 to present. Original rainfall data were extracted as gridded 
            
203
data from SILO Long Paddock at 
203
data from SILO Long Paddock at 
            
204
https://www.longpaddock.qld.gov.au/silo/gridded-data/.",
204
https://www.longpaddock.qld.gov.au/silo/gridded-data/.",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "78bc6b9ccc396e41370b49ae67fb0edf",
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      "last_modified": "2024-10-28T03:24:19.469316",
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      "last_modified": "2024-10-28T03:24:19.469316",
            
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      "metadata_modified": "2024-10-28T03:26:45.313711",
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      "metadata_modified": "2024-10-28T03:26:45.313711",
            
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      "mimetype": "text/csv",
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      "mimetype": "text/csv",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Rainfall",
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      "name": "Rainfall",
            
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      "package_id": "670b37d9-d64c-430c-954f-7ba67f2c9dc3",
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      "package_id": "670b37d9-d64c-430c-954f-7ba67f2c9dc3",
            
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      "position": 4,
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      "position": 4,
            
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      "resource_type": null,
            
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      "size": 48974401,
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      "size": 48974401,
            
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      "state": "active",
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      "state": "active",
            
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      "url": 
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      "url": 
            
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/resource/75cafdd1-adbf-4ad8-94d3-cc724fcc889e/download/rainfall.csv",
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/resource/75cafdd1-adbf-4ad8-94d3-cc724fcc889e/download/rainfall.csv",
            
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      "url_type": "upload"
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      "url_type": "upload"
            
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    }
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    }
            
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  ],
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  ],
            
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  "spatial": "",
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  "spatial": "",
            
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  "spatial_coverage": "New South Wales (NSW81093)",
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  "spatial_coverage": "New South Wales (NSW81093)",
            
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  "state": "active",
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  "state": "active",
            
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  "syndicate": "true",
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  "syndicate": "true",
            
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  "syndicated_id": "null",
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  "syndicated_id": "null",
            
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  "tags": [],
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  "tags": [],
            
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  "temporal_coverage_from": "",
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  "temporal_coverage_from": "",
            
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  "temporal_coverage_to": "",
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  "temporal_coverage_to": "",
            
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  "title": "Arbovirus data",
231
  "title": "Arbovirus data",
            
232
  "type": "dataset",
232
  "type": "dataset",
            
233
  "unpublished": "false",
233
  "unpublished": "false",
            
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  "update_freq": "weekly",
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  "update_freq": "weekly",
            
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  "url": null,
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  "url": null,
            
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  "version": null
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  "version": null
            
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}
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}