Changes

              
    

          
          
        
        

            
f
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{
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{
            
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  "agreement": "true",
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  "agreement": "true",
            
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  "alternative_identifier": "WRC Report No. 1060/1/03",
3
  "alternative_identifier": "WRC Report No. 1060/1/03",
            
4
  "author": null,
4
  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "authors": [
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  "authors": [
            
7
    {
7
    {
            
8
      "author_department": "School of Bioresources Engineering and 
8
      "author_department": "School of Bioresources Engineering and 
            
9
Environmental Hydrology",
9
Environmental Hydrology",
            
10
      "author_email": "smithers@ukzn.ac.za",
10
      "author_email": "smithers@ukzn.ac.za",
            
11
      "author_name": "Jeffrey",
11
      "author_name": "Jeffrey",
            
12
      "author_organization": "University of KwaZulu-Natal (formerly 
12
      "author_organization": "University of KwaZulu-Natal (formerly 
            
13
University of Natal)",
13
University of Natal)",
            
14
      "author_surname": "Smithers",
14
      "author_surname": "Smithers",
            
15
      "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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    {
            
18
      "author_department": "School of Bioresources Engineering and 
18
      "author_department": "School of Bioresources Engineering and 
            
19
Environmental Hydrology",
19
Environmental Hydrology",
            
20
      "author_email": "schulzer@ukzn.ac.za",
20
      "author_email": "schulzer@ukzn.ac.za",
            
21
      "author_name": "Roland",
21
      "author_name": "Roland",
            
22
      "author_organization": "University of KwaZulu-Natal (formerly 
22
      "author_organization": "University of KwaZulu-Natal (formerly 
            
23
University of Natal)",
23
University of Natal)",
            
24
      "author_surname": "Schulze",
24
      "author_surname": "Schulze",
            
25
      "contact_same_as_author": "false"
25
      "contact_same_as_author": "false"
            
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    }
26
    }
            
27
  ],
27
  ],
            
28
  "citation_title": "SMITHERS JC and SCHULZE RE (2003) Design rainfall 
28
  "citation_title": "SMITHERS JC and SCHULZE RE (2003) Design rainfall 
            
29
and flood estimation in South Africa, WRC Report No. 1060/1/03. Water 
29
and flood estimation in South Africa, WRC Report No. 1060/1/03. Water 
            
30
Research Commission, Pretoria.",
30
Research Commission, Pretoria.",
            
31
  "contact_person": [
31
  "contact_person": [
            
32
    {
32
    {
            
33
      "contact_department": "School of Bioresources Engineering and 
33
      "contact_department": "School of Bioresources Engineering and 
            
34
Environmental Hydrology",
34
Environmental Hydrology",
            
35
      "contact_email": "smithers@ukzn.ac.za",
35
      "contact_email": "smithers@ukzn.ac.za",
            
36
      "contact_name": "Jeffrey",
36
      "contact_name": "Jeffrey",
            
37
      "contact_orgnization": "University of KwaZulu-Natal (formerly 
37
      "contact_orgnization": "University of KwaZulu-Natal (formerly 
            
38
University of Natal)"
38
University of Natal)"
            
39
    }
39
    }
            
40
  ],
40
  ],
            
41
  "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": "static",
42
  "data_classification": "static",
            
43
  "data_collection_organization": "University of Natal (now University 
43
  "data_collection_organization": "University of Natal (now University 
            
44
of KwaZulu-Natal), using rainfall data from the South African Weather 
44
of KwaZulu-Natal), using rainfall data from the South African Weather 
            
45
Service and other agencies",
45
Service and other agencies",
            
46
  "data_structure_category": "structured",
46
  "data_structure_category": "structured",
            
47
  "dataset_language": "English",
47
  "dataset_language": "English",
            
48
  "dataset_license_url": 
48
  "dataset_license_url": 
            
49
"https://creativecommons.org/licenses/by/4.0/",
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"https://creativecommons.org/licenses/by/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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  "groups": [],
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  "groups": [],
            
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  "id": "5974d053-3e26-4f87-9177-0b0d54810da1",
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  "id": "5974d053-3e26-4f87-9177-0b0d54810da1",
            
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  "isopen": false,
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  "isopen": false,
            
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  "keywords": "design rainfall, extreme rainfall, DRE-SA, gridded 
55
  "keywords": "design rainfall, extreme rainfall, DRE-SA, gridded 
            
56
data, rainfall stations, depth-duration-frequency, annual maximum 
56
data, rainfall stations, depth-duration-frequency, annual maximum 
            
57
series, L-moments, regional frequency analysis, RLMA&SI, scale 
57
series, L-moments, regional frequency analysis, RLMA&SI, scale 
            
58
invariance, flood estimation, TR102, South Africa",
58
invariance, flood estimation, TR102, South Africa",
            
59
  "license": "Open (Creative Commons)",
59
  "license": "Open (Creative Commons)",
            
60
  "license_id": null,
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  "license_id": null,
            
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  "license_title": null,
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  "license_title": null,
            
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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": "2026-10-30T15:14:34.541273",
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  "metadata_created": "2026-10-30T15:14:34.541273",
            
n
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  "metadata_modified": "2026-10-30T15:28:29.475111",
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  "metadata_modified": "2026-10-30T15:30:15.050517",
            
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  "minimum_maximum_extent": [
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  "minimum_maximum_extent": [
            
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    {
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    {
            
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      "maximum_vertical_extent": "3429",
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      "maximum_vertical_extent": "3429",
            
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      "minimum_vertical_extent": "0"
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      "minimum_vertical_extent": "0"
            
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    }
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    }
            
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  ],
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  ],
            
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  "name": 
72
  "name": 
            
73
-for-south-africa-rlmasi-station-grid-and-parameter-data-wrc-1060103",
73
-for-south-africa-rlmasi-station-grid-and-parameter-data-wrc-1060103",
            
74
  "notes": "This dataset contained the design rainfall data developed 
74
  "notes": "This dataset contained the design rainfall data developed 
            
75
in WRC project K5/1060 (Smithers and Schulze, 2003, WRC Report No. 
75
in WRC project K5/1060 (Smithers and Schulze, 2003, WRC Report No. 
            
76
1060/1/03) and distributed with the Design Rainfall Estimation in 
76
1060/1/03) and distributed with the Design Rainfall Estimation in 
            
77
South Africa (DRE-SA) software, version 3 (2012). The project 
77
South Africa (DRE-SA) software, version 3 (2012). The project 
            
78
developed the Regional L-Moment Algorithm and Scale Invariance 
78
developed the Regional L-Moment Algorithm and Scale Invariance 
            
79
(RLMA&SI) procedures, which were used to estimate design rainfall 
79
(RLMA&SI) procedures, which were used to estimate design rainfall 
            
80
depths for durations from 5 minutes to 7 days and return periods from 
80
depths for durations from 5 minutes to 7 days and return periods from 
            
81
2 to 200 years at any location in South Africa. The procedures 
81
2 to 200 years at any location in South Africa. The procedures 
            
82
superseded the TR102 storm rainfall values (Adamson, 1981) for most 
82
superseded the TR102 storm rainfall values (Adamson, 1981) for most 
            
83
engineering applications.\r\n\r\nFour resources were provided. The 
83
engineering applications.\r\n\r\nFour resources were provided. The 
            
84
station database contained 1- to 7-day design rainfall depths, with 
84
station database contained 1- to 7-day design rainfall depths, with 
            
85
lower and upper 90% bounds, for return periods of 2 to 200 years at 3 
85
lower and upper 90% bounds, for return periods of 2 to 200 years at 3 
            
86
946 South African Weather Service daily rainfall stations, together 
86
946 South African Weather Service daily rainfall stations, together 
            
87
with station coordinates, MAP, altitude, record period and cluster. 
87
with station coordinates, MAP, altitude, record period and cluster. 
            
88
The national grid contained 421 027 one-minute cells with MAP, 
88
The national grid contained 421 027 one-minute cells with MAP, 
            
89
altitude, daily, short-duration and regional cluster memberships, the 
89
altitude, daily, short-duration and regional cluster memberships, the 
            
90
adjusted mean of the 1-day annual maximum series, and the percentage 
90
adjusted mean of the 1-day annual maximum series, and the percentage 
            
91
prediction errors used to derive 90% bounds. A lookup workbook 
91
prediction errors used to derive 90% bounds. A lookup workbook 
            
92
contained the 1-day growth curves for 78 clusters, the regional 
92
contained the 1-day growth curves for 78 clusters, the regional 
            
93
regressions for 2 to 7-day durations, the short-duration regressions 
93
regressions for 2 to 7-day durations, the short-duration regressions 
            
94
for 15 clusters, the 24 h to 1-day ratios and a data dictionary. A 
94
for 15 clusters, the 24 h to 1-day ratios and a data dictionary. A 
            
95
fourth workbook contained all ten tables printed in the 
95
fourth workbook contained all ten tables printed in the 
            
96
report.\r\n\r\nThe grid and lookup tables were read directly from the 
96
report.\r\n\r\nThe grid and lookup tables were read directly from the 
            
97
DBF files distributed with the software, without modification apart 
97
DBF files distributed with the software, without modification apart 
            
98
from added decimal-degree coordinates. Report tables were harvested 
98
from added decimal-degree coordinates. Report tables were harvested 
            
99
from the born-digital report and checked against the rendered pages, 
99
from the born-digital report and checked against the rendered pages, 
            
100
and suspected errors in the source were listed for verification. 
100
and suspected errors in the source were listed for verification. 
            
101
Design depths at any grid cell could be computed by multiplying the 
101
Design depths at any grid cell could be computed by multiplying the 
            
102
cluster growth factor by the adjusted 1-day mean and applying the 
102
cluster growth factor by the adjusted 1-day mean and applying the 
            
103
duration relationships described in the report.",
103
duration relationships described in the report.",
            
n
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  "num_resources": 3,
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  "num_resources": 4,
            
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  "num_tags": 0,
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  "num_tags": 0,
            
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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": "2025-11-17T16:05:06.947770",
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    "created": "2025-11-17T16:05:06.947770",
            
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    "description": "Boasting multiple campuses, UKZN is a residential, 
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    "description": "Boasting multiple campuses, UKZN is a residential, 
            
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teaching and research-led university located in the picturesque 
110
teaching and research-led university located in the picturesque 
            
111
province of KwaZulu-Natal. The University has a proud and rich 
111
province of KwaZulu-Natal. The University has a proud and rich 
            
112
heritage of academic excellence. The year 2010 marked the centenary of 
112
heritage of academic excellence. The year 2010 marked the centenary of 
            
113
higher education in the province of KwaZulu-Natal a centenary of 
113
higher education in the province of KwaZulu-Natal a centenary of 
            
114
scholarship, innovation and community engagement. This vast wealth of 
114
scholarship, innovation and community engagement. This vast wealth of 
            
115
knowledge production lies at the heart of the University's success as 
115
knowledge production lies at the heart of the University's success as 
            
116
one of the top institutions on the African continent.\r\n\r\n",
116
one of the top institutions on the African continent.\r\n\r\n",
            
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    "id": "00107d27-dc1e-4685-bad8-140a8904cf67",
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    "id": "00107d27-dc1e-4685-bad8-140a8904cf67",
            
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    "image_url": "2025-11-17-160506.93468720220527UKZNlogo.JPG",
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    "image_url": "2025-11-17-160506.93468720220527UKZNlogo.JPG",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "university-of-kwazulu-natal",
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    "name": "university-of-kwazulu-natal",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "University of KwaZulu-Natal",
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    "title": "University of KwaZulu-Natal",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  "owner_org": "00107d27-dc1e-4685-bad8-140a8904cf67",
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  "owner_org": "00107d27-dc1e-4685-bad8-140a8904cf67",
            
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  "private": false,
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  "private": false,
            
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  "publication_date": "2003-04-01",
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  "publication_date": "2003-04-01",
            
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  "publisher": "water-research-commission",
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  "publisher": "water-research-commission",
            
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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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  "resources": [
            
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    {
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      "created": "2026-10-30T15:23:11.447779",
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      "created": "2026-10-30T15:23:11.447779",
            
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      "dataset_description": "Design rainfall depths for 1\u20137 
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      "dataset_description": "Design rainfall depths for 1\u20137 
            
137
days, return periods 2\u2013200 years, with lower and upper 90% 
137
days, return periods 2\u2013200 years, with lower and upper 90% 
            
138
bounds, at 3,946 SAWS daily rainfall stations. Includes coordinates, 
138
bounds, at 3,946 SAWS daily rainfall stations. Includes coordinates, 
            
139
MAP, altitude and record period.",
139
MAP, altitude and record period.",
            
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      "description": null,
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      "description": null,
            
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      "download_count": "0",
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      "format": "csv",
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      "format": "csv",
            
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      "hash": "",
            
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      "id": "f40ecaf3-e7f7-4ac2-9409-e4d6be69254b",
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      "id": "f40ecaf3-e7f7-4ac2-9409-e4d6be69254b",
            
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      "is_data_supplementary": "False",
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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": "DRE-SA_station_design_rainfall.csv",
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      "name": "DRE-SA_station_design_rainfall.csv",
            
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      "package_id": "5974d053-3e26-4f87-9177-0b0d54810da1",
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      "position": 0,
            
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      "resource_name": "DRE-SA station design rainfall database",
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      "resource_name": "DRE-SA station design rainfall database",
            
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      "resource_type": null,
            
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      "size": 3657486,
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      "size": 3657486,
            
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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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7-4ac2-9409-e4d6be69254b/download/dre-sa_station_design_rainfall.csv",
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7-4ac2-9409-e4d6be69254b/download/dre-sa_station_design_rainfall.csv",
            
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      "url_type": "upload",
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      "url_type": "upload",
            
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      "zipped_file": "False"
            
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      "created": "2026-10-30T15:24:42.769369",
            
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      "dataset_description": "421,027 one-minute grid cells with MAP, 
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      "dataset_description": "421,027 one-minute grid cells with MAP, 
            
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altitude, cluster and region codes, the adjusted mean of the 1-day 
167
altitude, cluster and region codes, the adjusted mean of the 1-day 
            
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annual maximum series, and the percentage errors used for the 90% 
168
annual maximum series, and the percentage errors used for the 90% 
            
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bounds. CSV, zipped",
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bounds. CSV, zipped",
            
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      "format": "zip",
            
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      "id": "b67fabc6-33f5-443e-aac6-f747039ee40d",
            
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      "is_data_supplementary": "False",
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