Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "agreement": "true",
2
  "agreement": "true",
            
3
  "alternative_identifier": "10.2166/hydro.2024.268",
3
  "alternative_identifier": "10.2166/hydro.2024.268",
            
4
  "author": null,
4
  "author": null,
            
5
  "author_email": null,
5
  "author_email": null,
            
6
  "authors": [
6
  "authors": [
            
7
    {
7
    {
            
8
      "author_department": "Department of Plant and Soil Sciences",
8
      "author_department": "Department of Plant and Soil Sciences",
            
9
      "author_email": "ceschutte34@gmail.com",
9
      "author_email": "ceschutte34@gmail.com",
            
10
      "author_name": "Christiaan ",
10
      "author_name": "Christiaan ",
            
11
      "author_organization": "University of Pretoria",
11
      "author_organization": "University of Pretoria",
            
12
      "author_surname": "Schutte",
12
      "author_surname": "Schutte",
            
13
      "contact_same_as_author": "True"
13
      "contact_same_as_author": "True"
            
14
    },
14
    },
            
15
    {
15
    {
            
16
      "author_department": "Department of Plant and Soil Sciences",
16
      "author_department": "Department of Plant and Soil Sciences",
            
17
      "author_email": "vanderLaanM@arc.agric.za",
17
      "author_email": "vanderLaanM@arc.agric.za",
            
18
      "author_name": "Michael",
18
      "author_name": "Michael",
            
19
      "author_organization": "University of Pretoria",
19
      "author_organization": "University of Pretoria",
            
20
      "author_surname": "van der Laan"
20
      "author_surname": "van der Laan"
            
21
    },
21
    },
            
22
    {
22
    {
            
23
      "author_department": "Department of Geography, Geoinformatics 
23
      "author_department": "Department of Geography, Geoinformatics 
            
24
and Meteorology",
24
and Meteorology",
            
25
      "author_email": "barend.vandermerwe@up.ac.za",
25
      "author_email": "barend.vandermerwe@up.ac.za",
            
26
      "author_name": "Barend",
26
      "author_name": "Barend",
            
27
      "author_organization": "University of Pretoria",
27
      "author_organization": "University of Pretoria",
            
28
      "author_surname": "van der Merwe"
28
      "author_surname": "van der Merwe"
            
29
    }
29
    }
            
30
  ],
30
  ],
            
31
  "citation_title": "SCHUTTE C, VAN DER LAAN M and VAN DER MERWE B 
31
  "citation_title": "SCHUTTE C, VAN DER LAAN M and VAN DER MERWE B 
            
32
(2024) Leveraging historic streamflow and weather data with deep 
32
(2024) Leveraging historic streamflow and weather data with deep 
            
33
learning for enhanced streamflow predictions. Journal of 
33
learning for enhanced streamflow predictions. Journal of 
            
34
Hydroinformatics 26 (4) 835. http://doi.org/10.2166/hydro.2024.268.",
34
Hydroinformatics 26 (4) 835. http://doi.org/10.2166/hydro.2024.268.",
            
35
  "contact_person": [
35
  "contact_person": [
            
36
    {
36
    {
            
37
      "contact_department": "Department of Plant and Soil Sciences",
37
      "contact_department": "Department of Plant and Soil Sciences",
            
38
      "contact_email": "ceschutte34@gmail.com",
38
      "contact_email": "ceschutte34@gmail.com",
            
39
      "contact_name": "Christiaan ",
39
      "contact_name": "Christiaan ",
            
40
      "contact_orgnization": "University of Pretoria"
40
      "contact_orgnization": "University of Pretoria"
            
41
    }
41
    }
            
42
  ],
42
  ],
            
43
  "creator_user_id": "fa7af5b8-32a7-4df0-90a7-c49fbefb1fbd",
43
  "creator_user_id": "fa7af5b8-32a7-4df0-90a7-c49fbefb1fbd",
            
44
  "data_classification": "time series",
44
  "data_classification": "time series",
            
45
  "data_collection_organization": "Water Research Observatory",
45
  "data_collection_organization": "Water Research Observatory",
            
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-sa/4.0/",
49
https://creativecommons.org/licenses/by-sa/4.0/",
            
50
  "did_author_or_contact_organization_collect_the_data": "false",
50
  "did_author_or_contact_organization_collect_the_data": "false",
            
51
  "email": "vanderLaanM@arc.agric.za",
51
  "email": "vanderLaanM@arc.agric.za",
            
52
  "extras": [
52
  "extras": [
            
53
    {
53
    {
            
54
      "key": "data_reference_date_from",
54
      "key": "data_reference_date_from",
            
55
      "value": "1979-10-01"
55
      "value": "1979-10-01"
            
56
    },
56
    },
            
57
    {
57
    {
            
58
      "key": "data_reference_date_to",
58
      "key": "data_reference_date_to",
            
59
      "value": "2002-02-22"
59
      "value": "2002-02-22"
            
60
    }
60
    }
            
61
  ],
61
  ],
            
62
  "groups": [],
62
  "groups": [],
            
63
  "id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
63
  "id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
            
64
  "isopen": false,
64
  "isopen": false,
            
65
  "keywords": "GRU, LSTM, rainfall-runoff modelling, streamflow 
65
  "keywords": "GRU, LSTM, rainfall-runoff modelling, streamflow 
            
66
prediction, deep learning, Steelpoort River, Olifants basin, CHIRPS, 
66
prediction, deep learning, Steelpoort River, Olifants basin, CHIRPS, 
            
67
NASA POWER, ARC",
67
NASA POWER, ARC",
            
68
  "license": "Open (Creative Commons)",
68
  "license": "Open (Creative Commons)",
            
69
  "license_id": null,
69
  "license_id": null,
            
70
  "license_title": null,
70
  "license_title": null,
            
71
  "maintainer": null,
71
  "maintainer": null,
            
72
  "maintainer_email": null,
72
  "maintainer_email": null,
            
73
  "metadata_created": "2025-10-22T11:55:59.470668",
73
  "metadata_created": "2025-10-22T11:55:59.470668",
            
n
74
  "metadata_modified": "2026-10-11T00:13:14.802205",
n
74
  "metadata_modified": "2026-10-11T02:09:43.617100",
            
75
  "minimum_maximum_extent": [
75
  "minimum_maximum_extent": [
            
76
    {
76
    {
            
77
      "maximum_vertical_extent": "2263",
77
      "maximum_vertical_extent": "2263",
            
78
      "minimum_vertical_extent": "1336"
78
      "minimum_vertical_extent": "1336"
            
79
    }
79
    }
            
80
  ],
80
  ],
            
81
  "name": "deep-learning-for-streamflow-prediction-project-data",
81
  "name": "deep-learning-for-streamflow-prediction-project-data",
            
82
  "notes": "This study evaluates deep learning methods for daily 
82
  "notes": "This study evaluates deep learning methods for daily 
            
83
streamflow prediction in data-scarce contexts, using two headwater 
83
streamflow prediction in data-scarce contexts, using two headwater 
            
84
catchments of the Steelpoort River (Olifants River basin, South 
84
catchments of the Steelpoort River (Olifants River basin, South 
            
85
Africa) as case studies. Gated Recurrent Unit (GRU) and Long 
85
Africa) as case studies. Gated Recurrent Unit (GRU) and Long 
            
86
Short-Term Memory (LSTM) networks are trained using daily rainfall and 
86
Short-Term Memory (LSTM) networks are trained using daily rainfall and 
            
87
temperature data, together with historic streamflow in an 
87
temperature data, together with historic streamflow in an 
            
88
autoregressive manner. The approach incorporates predicted streamflow 
88
autoregressive manner. The approach incorporates predicted streamflow 
            
89
values into the look-back window to generate continuous predictions 
89
values into the look-back window to generate continuous predictions 
            
90
across the testing period, enabling both gap-filling and short-term 
90
across the testing period, enabling both gap-filling and short-term 
            
91
forecasting. To ensure physically consistent outputs, the authors 
91
forecasting. To ensure physically consistent outputs, the authors 
            
92
modify standard GRU/LSTM architectures by (i) changing the activation 
92
modify standard GRU/LSTM architectures by (i) changing the activation 
            
93
function in the final hidden layer and (ii) applying a non-negative 
93
function in the final hidden layer and (ii) applying a non-negative 
            
94
constraint in the dense layer to prevent negative streamflow 
94
constraint in the dense layer to prevent negative streamflow 
            
95
simulations. Weather inputs are sourced from (1) an ARC station record 
95
simulations. Weather inputs are sourced from (1) an ARC station record 
            
96
and (2) gridded products (CHIRPS rainfall and NASA POWER/NASAP 
96
and (2) gridded products (CHIRPS rainfall and NASA POWER/NASAP 
            
97
variables), combined with DWS streamflow data from gauging stations 
97
variables), combined with DWS streamflow data from gauging stations 
            
98
B4H007 and B4H001. Training spans 1 Oct 1979\u201330 Sep 1997 and 
98
B4H007 and B4H001. Training spans 1 Oct 1979\u201330 Sep 1997 and 
            
99
testing spans 1 Oct 1997\u201322 Feb 2002. Results show that models 
99
testing spans 1 Oct 1997\u201322 Feb 2002. Results show that models 
            
100
using ARC station data achieve reliable predictions, while models 
100
using ARC station data achieve reliable predictions, while models 
            
101
using gridded datasets provide moderately accurate predictions, 
101
using gridded datasets provide moderately accurate predictions, 
            
102
indicating potential for low-cost streamflow estimation where gauges 
102
indicating potential for low-cost streamflow estimation where gauges 
            
103
are inactive or incomplete. The work contributes a practical method 
103
are inactive or incomplete. The work contributes a practical method 
            
104
for southern Africa where monitoring networks have declined.",
104
for southern Africa where monitoring networks have declined.",
            
105
  "num_resources": 4,
105
  "num_resources": 4,
            
106
  "num_tags": 0,
106
  "num_tags": 0,
            
107
  "organization": {
107
  "organization": {
            
108
    "approval_status": "approved",
108
    "approval_status": "approved",
            
109
    "created": "2026-02-19T10:16:04.079269",
109
    "created": "2026-02-19T10:16:04.079269",
            
110
    "description": "The University of Pretoria (UP) is one of 
110
    "description": "The University of Pretoria (UP) is one of 
            
111
Africa\u2019s top universities and the largest contact university in 
111
Africa\u2019s top universities and the largest contact university in 
            
112
South Africa. We produce socially impactful research to find solutions 
112
South Africa. We produce socially impactful research to find solutions 
            
113
for the world\u2019s most pressing issues. We have a high quality of 
113
for the world\u2019s most pressing issues. We have a high quality of 
            
114
teaching and learning in the classroom, online, or in communities. We 
114
teaching and learning in the classroom, online, or in communities. We 
            
115
have support in place for our students to graduate on time as 
115
have support in place for our students to graduate on time as 
            
116
well-rounded, responsible citizens fully prepared for the world beyond 
116
well-rounded, responsible citizens fully prepared for the world beyond 
            
117
university.",
117
university.",
            
118
    "id": "149918e1-73c3-463f-a6fe-401915e67e0f",
118
    "id": "149918e1-73c3-463f-a6fe-401915e67e0f",
            
119
    "image_url": "2026-02-19-101604.068497UPlogo.jpg",
119
    "image_url": "2026-02-19-101604.068497UPlogo.jpg",
            
120
    "is_organization": true,
120
    "is_organization": true,
            
121
    "name": "university-of-pretoria",
121
    "name": "university-of-pretoria",
            
122
    "state": "active",
122
    "state": "active",
            
123
    "title": "University of Pretoria",
123
    "title": "University of Pretoria",
            
124
    "type": "organization"
124
    "type": "organization"
            
125
  },
125
  },
            
126
  "owner_org": "149918e1-73c3-463f-a6fe-401915e67e0f",
126
  "owner_org": "149918e1-73c3-463f-a6fe-401915e67e0f",
            
127
  "private": false,
127
  "private": false,
            
128
  "publication_date": "2024-02-28",
128
  "publication_date": "2024-02-28",
            
129
  "publisher": "Journal of Hydroinformatics",
129
  "publisher": "Journal of Hydroinformatics",
            
130
  "relationships_as_object": [],
130
  "relationships_as_object": [],
            
131
  "relationships_as_subject": [],
131
  "relationships_as_subject": [],
            
132
  "resources": [
132
  "resources": [
            
133
    {
133
    {
            
134
      "cache_last_updated": null,
134
      "cache_last_updated": null,
            
135
      "cache_url": null,
135
      "cache_url": null,
            
136
      "created": "2025-10-22T11:55:59.688311",
136
      "created": "2025-10-22T11:55:59.688311",
            
137
      "description": null,
137
      "description": null,
            
138
      "download_count": 5,
138
      "download_count": 5,
            
139
      "format": "zip",
139
      "format": "zip",
            
140
      "hash": "",
140
      "hash": "",
            
141
      "id": "b865b864-11ed-4ba0-9a99-131e95cc7af1",
141
      "id": "b865b864-11ed-4ba0-9a99-131e95cc7af1",
            
142
      "is_data_supplementary": "False",
142
      "is_data_supplementary": "False",
            
143
      "last_modified": "2025-10-22T11:55:59.659251",
143
      "last_modified": "2025-10-22T11:55:59.659251",
            
144
      "metadata_modified": "2026-06-06T17:21:10.522173",
144
      "metadata_modified": "2026-06-06T17:21:10.522173",
            
145
      "mimetype": "application/zip",
145
      "mimetype": "application/zip",
            
146
      "mimetype_inner": null,
146
      "mimetype_inner": null,
            
147
      "name": "Data_and_Code-8669.zip",
147
      "name": "Data_and_Code-8669.zip",
            
148
      "package_id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
148
      "package_id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
            
149
      "position": 0,
149
      "position": 0,
            
150
      "resource_type": null,
150
      "resource_type": null,
            
151
      "size": 182163782,
151
      "size": 182163782,
            
152
      "state": "active",
152
      "state": "active",
            
153
      "url": 
153
      "url": 
            
154
b865b864-11ed-4ba0-9a99-131e95cc7af1/download/data_and_code-8669.zip",
154
b865b864-11ed-4ba0-9a99-131e95cc7af1/download/data_and_code-8669.zip",
            
155
      "url_type": "upload",
155
      "url_type": "upload",
            
156
      "zipped_file": "False"
156
      "zipped_file": "False"
            
157
    },
157
    },
            
158
    {
158
    {
            
159
      "cache_last_updated": null,
159
      "cache_last_updated": null,
            
160
      "cache_url": null,
160
      "cache_url": null,
            
161
      "created": "2025-10-22T11:56:00.990793",
161
      "created": "2025-10-22T11:56:00.990793",
            
162
      "description": null,
162
      "description": null,
            
163
      "download_count": 6,
163
      "download_count": 6,
            
164
      "format": "zip",
164
      "format": "zip",
            
165
      "hash": "",
165
      "hash": "",
            
166
      "id": "1ffcc4b6-01d5-4d53-9370-5ddd3d65b96b",
166
      "id": "1ffcc4b6-01d5-4d53-9370-5ddd3d65b96b",
            
167
      "is_data_supplementary": "False",
167
      "is_data_supplementary": "False",
            
168
      "last_modified": "2025-10-22T11:56:00.951126",
168
      "last_modified": "2025-10-22T11:56:00.951126",
            
169
      "metadata_modified": "2026-10-07T08:37:26.363795",
169
      "metadata_modified": "2026-10-07T08:37:26.363795",
            
170
      "mimetype": "application/zip",
170
      "mimetype": "application/zip",
            
171
      "mimetype_inner": null,
171
      "mimetype_inner": null,
            
172
      "name": "Data_and_Code/CatchmentA.zip",
172
      "name": "Data_and_Code/CatchmentA.zip",
            
173
      "package_id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
173
      "package_id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
            
174
      "position": 1,
174
      "position": 1,
            
175
      "resource_type": null,
175
      "resource_type": null,
            
176
      "size": 90861991,
176
      "size": 90861991,
            
177
      "state": "active",
177
      "state": "active",
            
178
      "url": 
178
      "url": 
            
179
esource/1ffcc4b6-01d5-4d53-9370-5ddd3d65b96b/download/catchmenta.zip",
179
esource/1ffcc4b6-01d5-4d53-9370-5ddd3d65b96b/download/catchmenta.zip",
            
180
      "url_type": "upload",
180
      "url_type": "upload",
            
181
      "zipped_file": "False"
181
      "zipped_file": "False"
            
182
    },
182
    },
            
183
    {
183
    {
            
184
      "cache_last_updated": null,
184
      "cache_last_updated": null,
            
185
      "cache_url": null,
185
      "cache_url": null,
            
186
      "created": "2025-10-22T11:56:01.279738",
186
      "created": "2025-10-22T11:56:01.279738",
            
187
      "description": null,
187
      "description": null,
            
n
188
      "download_count": 79,
n
188
      "download_count": 80,
            
189
      "format": "txt",
189
      "format": "txt",
            
190
      "hash": "",
190
      "hash": "",
            
191
      "id": "7b2380d0-2694-483c-99b8-215c25efd391",
191
      "id": "7b2380d0-2694-483c-99b8-215c25efd391",
            
192
      "is_data_supplementary": "False",
192
      "is_data_supplementary": "False",
            
193
      "last_modified": "2025-10-22T11:56:01.244307",
193
      "last_modified": "2025-10-22T11:56:01.244307",
            
n
194
      "metadata_modified": "2026-10-11T00:13:14.812902",
n
194
      "metadata_modified": "2026-10-11T02:09:43.625241",
            
195
      "mimetype": "text/plain",
195
      "mimetype": "text/plain",
            
196
      "mimetype_inner": null,
196
      "mimetype_inner": null,
            
197
      "name": "Data_and_Code/readMe.txt",
197
      "name": "Data_and_Code/readMe.txt",
            
198
      "package_id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
198
      "package_id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
            
199
      "position": 2,
199
      "position": 2,
            
200
      "resource_type": null,
200
      "resource_type": null,
            
201
      "size": 2437,
201
      "size": 2437,
            
202
      "state": "active",
202
      "state": "active",
            
203
      "url": 
203
      "url": 
            
204
d8/resource/7b2380d0-2694-483c-99b8-215c25efd391/download/readme.txt",
204
d8/resource/7b2380d0-2694-483c-99b8-215c25efd391/download/readme.txt",
            
205
      "url_type": "upload",
205
      "url_type": "upload",
            
206
      "zipped_file": "False"
206
      "zipped_file": "False"
            
207
    },
207
    },
            
208
    {
208
    {
            
209
      "cache_last_updated": null,
209
      "cache_last_updated": null,
            
210
      "cache_url": null,
210
      "cache_url": null,
            
211
      "created": "2025-10-22T11:56:01.522228",
211
      "created": "2025-10-22T11:56:01.522228",
            
212
      "description": null,
212
      "description": null,
            
213
      "download_count": 3,
213
      "download_count": 3,
            
214
      "format": "zip",
214
      "format": "zip",
            
215
      "hash": "",
215
      "hash": "",
            
216
      "id": "fce0c251-7c53-4b34-9183-5705dfd7e59c",
216
      "id": "fce0c251-7c53-4b34-9183-5705dfd7e59c",
            
217
      "is_data_supplementary": "False",
217
      "is_data_supplementary": "False",
            
218
      "last_modified": "2025-10-22T11:56:01.481064",
218
      "last_modified": "2025-10-22T11:56:01.481064",
            
219
      "metadata_modified": "2026-10-07T08:38:32.179931",
219
      "metadata_modified": "2026-10-07T08:38:32.179931",
            
220
      "mimetype": "application/zip",
220
      "mimetype": "application/zip",
            
221
      "mimetype_inner": null,
221
      "mimetype_inner": null,
            
222
      "name": "Data_and_Code/CatchmentB.zip",
222
      "name": "Data_and_Code/CatchmentB.zip",
            
223
      "package_id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
223
      "package_id": "4d7601c4-5742-4e9c-93c6-73f8e5814dd8",
            
224
      "position": 3,
224
      "position": 3,
            
225
      "resource_type": null,
225
      "resource_type": null,
            
226
      "size": 91300326,
226
      "size": 91300326,
            
227
      "state": "active",
227
      "state": "active",
            
228
      "url": 
228
      "url": 
            
229
esource/fce0c251-7c53-4b34-9183-5705dfd7e59c/download/catchmentb.zip",
229
esource/fce0c251-7c53-4b34-9183-5705dfd7e59c/download/catchmentb.zip",
            
230
      "url_type": "upload",
230
      "url_type": "upload",
            
231
      "zipped_file": "False"
231
      "zipped_file": "False"
            
232
    }
232
    }
            
233
  ],
233
  ],
            
t
t
234
  "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[16.4699, 
            
235
-22.1265], [32.8931, -22.1265], [32.8931, -34.8212], [16.4699, 
            
236
-34.8212], [16.4699, -22.1265]]]}",
            
234
  "state": "active",
237
  "state": "active",
            
235
  "tags": [],
238
  "tags": [],
            
236
  "title": "Leveraging historic streamflow and weather data with deep 
239
  "title": "Leveraging historic streamflow and weather data with deep 
            
237
learning for enhanced streamflow predictions",
240
learning for enhanced streamflow predictions",
            
238
  "type": "dataset",
241
  "type": "dataset",
            
239
  "uploader_estimation_of_extent_of_processing": "access",
242
  "uploader_estimation_of_extent_of_processing": "access",
            
240
  "url": null,
243
  "url": null,
            
241
  "version": null,
244
  "version": null,
            
242
  "vertical_extent_datum": "masl",
245
  "vertical_extent_datum": "masl",
            
243
  "wrc_project_number": "WRC Project C2020/2021-00440",
246
  "wrc_project_number": "WRC Project C2020/2021-00440",
            
244
  "wro_theme": "streamflow"
247
  "wro_theme": "streamflow"
            
245
}
248
}