Alterações

              
    

          
          
        
        

            
f
1
{
f
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{
            
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  "SDGs": [],
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  "SDGs": [],
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
            
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  "extras": [
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  "extras": [
            
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    {
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    {
            
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      "key": "fields",
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      "key": "fields",
            
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      "value": "id, date, station_name, station_code, parameter, 
9
      "value": "id, date, station_name, station_code, parameter, 
            
10
average_temperature, standard_deviation, highest_temperature, 
10
average_temperature, standard_deviation, highest_temperature, 
            
11
lowest_temperature, state_name, district_name, state_code, 
11
lowest_temperature, state_name, district_name, state_code, 
            
12
district_code, id, date, state_name, state_code, district_name, 
12
district_code, id, date, state_name, state_code, district_name, 
            
13
district_code, station_name, station_code, average_rainfall, 
13
district_code, station_name, station_code, average_rainfall, 
            
14
standard_deviation, highest_rainfall, lowest_rainfall, id, date, 
14
standard_deviation, highest_rainfall, lowest_rainfall, id, date, 
            
15
state_code, state_name, district_code, district_name, actual, rfs, 
15
state_code, state_name, district_code, district_name, actual, rfs, 
            
16
normal, deviation, id, date, state_code, state_name, actual, rfs, 
16
normal, deviation, id, date, state_code, state_name, actual, rfs, 
            
17
normal, deviation"
17
normal, deviation"
            
18
    }
18
    }
            
19
  ],
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  ],
            
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  "groups": [],
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  "groups": [],
            
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  "id": "25664936-d131-4b07-845e-4bd2c0d794aa",
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  "id": "25664936-d131-4b07-845e-4bd2c0d794aa",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "odc-by",
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  "license_id": "odc-by",
            
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  "license_title": "Open Data Commons Attribution License",
24
  "license_title": "Open Data Commons Attribution License",
            
25
  "license_url": "http://www.opendefinition.org/licenses/odc-by",
25
  "license_url": "http://www.opendefinition.org/licenses/odc-by",
            
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  "maintainer": null,
26
  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-09-15T09:38:48.481441",
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  "metadata_created": "2023-09-15T09:38:48.481441",
            
n
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  "metadata_modified": "2025-12-19T08:09:11.898553",
n
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  "metadata_modified": "2025-12-19T08:09:13.139972",
            
30
  "name": "climate-data",
30
  "name": "climate-data",
            
31
  "notes": "Climate data in India is crucial given the country's 
31
  "notes": "Climate data in India is crucial given the country's 
            
32
diverse topography and climatic zones, which range from the arid 
32
diverse topography and climatic zones, which range from the arid 
            
33
deserts of Rajasthan to the wettest places on earth in Meghalaya. The 
33
deserts of Rajasthan to the wettest places on earth in Meghalaya. The 
            
34
India Meteorological Department (IMD), under the Ministry of Earth 
34
India Meteorological Department (IMD), under the Ministry of Earth 
            
35
Sciences, is the primary agency responsible for meteorological 
35
Sciences, is the primary agency responsible for meteorological 
            
36
observations, weather forecasting, and seismology. They collect, 
36
observations, weather forecasting, and seismology. They collect, 
            
37
analyze, and disseminate climate data, which includes parameters like 
37
analyze, and disseminate climate data, which includes parameters like 
            
38
temperature, rainfall, humidity, and wind patterns. This data is vital 
38
temperature, rainfall, humidity, and wind patterns. This data is vital 
            
39
for sectors like agriculture, water resources, and disaster management 
39
for sectors like agriculture, water resources, and disaster management 
            
40
in India. Additionally, with the growing concerns of climate change 
40
in India. Additionally, with the growing concerns of climate change 
            
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impacting monsoon patterns and causing extreme weather events, the 
41
impacting monsoon patterns and causing extreme weather events, the 
            
42
continuous monitoring and analysis of climate data become essential 
42
continuous monitoring and analysis of climate data become essential 
            
43
for policy formulation, research, and public awareness. This 
43
for policy formulation, research, and public awareness. This 
            
44
collection will have datasets that are related to climate like 
44
collection will have datasets that are related to climate like 
            
45
Rainfall, Temperature from various sources etc.",
45
Rainfall, Temperature from various sources etc.",
            
46
  "num_resources": 4,
46
  "num_resources": 4,
            
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  "num_tags": 1,
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  "num_tags": 1,
            
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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": "2022-12-05T03:44:54.080358",
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    "created": "2022-12-05T03:44:54.080358",
            
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    "description": "",
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    "description": "",
            
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    "id": "94317457-d297-4549-9640-7865034682c5",
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    "id": "94317457-d297-4549-9640-7865034682c5",
            
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "idp-organization",
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    "name": "idp-organization",
            
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    "state": "active",
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    "state": "active",
            
57
    "title": "IDP organization",
57
    "title": "IDP organization",
            
58
    "type": "organization"
58
    "type": "organization"
            
59
  },
59
  },
            
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
            
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  "private": false,
61
  "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": [
64
  "resources": [
            
65
    {
65
    {
            
66
      "additional_info": "nan",
66
      "additional_info": "nan",
            
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      "cache_last_updated": null,
67
      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2023-09-29T11:27:16.698407",
69
      "created": "2023-09-29T11:27:16.698407",
            
70
      "data_extraction_page": 
70
      "data_extraction_page": 
            
71
"https://cdsp.imdpune.gov.in/home_riturang_sn.php#snormals",
71
"https://cdsp.imdpune.gov.in/home_riturang_sn.php#snormals",
            
72
      "data_insights": "Monthly Rainfall Series for various stations 
72
      "data_insights": "Monthly Rainfall Series for various stations 
            
73
across the country provides estimates and other statistical measures 
73
across the country provides estimates and other statistical measures 
            
74
about the amount of rainfall recorded at a particular station. These 
74
about the amount of rainfall recorded at a particular station. These 
            
75
stations are mapped to their respective districts and states, 
75
stations are mapped to their respective districts and states, 
            
76
providing an overall view. This information can be used to predict 
76
providing an overall view. This information can be used to predict 
            
77
rainfall trends, month-on-month basis as well as on a yearly basis. 
77
rainfall trends, month-on-month basis as well as on a yearly basis. 
            
78
The availability of data from 1969 to 2020 allows the user to analyze 
78
The availability of data from 1969 to 2020 allows the user to analyze 
            
79
rainfall patterns and anomalies in rainfall recorded to map further 
79
rainfall patterns and anomalies in rainfall recorded to map further 
            
80
predictions. ",
80
predictions. ",
            
81
      "data_last_updated": "01-12-2020",
81
      "data_last_updated": "01-12-2020",
            
82
      "data_retreival_date": "08-08-2023",
82
      "data_retreival_date": "08-08-2023",
            
83
      "datastore_active": true,
83
      "datastore_active": true,
            
84
      "description": "The dataset provides the summary of monthly 
84
      "description": "The dataset provides the summary of monthly 
            
85
rainfall series in various stations across the country from 1969 to 
85
rainfall series in various stations across the country from 1969 to 
            
86
2020. The stations are mapped to their respective district and states 
86
2020. The stations are mapped to their respective district and states 
            
87
along with the LGD State and District Codes. ",
87
along with the LGD State and District Codes. ",
            
88
      "district_no": "174",
88
      "district_no": "174",
            
89
      "format": "CSV",
89
      "format": "CSV",
            
90
      "frequency": "Monthly",
90
      "frequency": "Monthly",
            
91
      "geo_columns": [
91
      "geo_columns": [
            
92
        "state_code",
92
        "state_code",
            
93
        "district_code"
93
        "district_code"
            
94
      ],
94
      ],
            
95
      "gp_no": "0",
95
      "gp_no": "0",
            
96
      "granularity": "Point",
96
      "granularity": "Point",
            
97
      "hash": "",
97
      "hash": "",
            
98
      "id": "9f1f8ea2-19e2-4615-a7bd-1ec79f3cd3f9",
98
      "id": "9f1f8ea2-19e2-4615-a7bd-1ec79f3cd3f9",
            
99
      "idp_ready": false,
99
      "idp_ready": false,
            
100
      "last_modified": "2023-09-29T11:31:58.808859",
100
      "last_modified": "2023-09-29T11:31:58.808859",
            
101
      "lgd_mapping": "yes",
101
      "lgd_mapping": "yes",
            
102
      "metadata_modified": "2025-12-19T08:09:05.654999",
102
      "metadata_modified": "2025-12-19T08:09:05.654999",
            
103
      "methodology": "The rainfall data is collected for various 
103
      "methodology": "The rainfall data is collected for various 
            
104
stations and consolidated on the Climate Data Service Portal by the 
104
stations and consolidated on the Climate Data Service Portal by the 
            
105
India Meteorological Department.",
105
India Meteorological Department.",
            
106
      "mimetype": null,
106
      "mimetype": null,
            
107
      "mimetype_inner": null,
107
      "mimetype_inner": null,
            
108
      "name": "Rainfall Data",
108
      "name": "Rainfall Data",
            
109
      "no_indicators": "4",
109
      "no_indicators": "4",
            
110
      "package_id": "25664936-d131-4b07-845e-4bd2c0d794aa",
110
      "package_id": "25664936-d131-4b07-845e-4bd2c0d794aa",
            
111
      "position": 0,
111
      "position": 0,
            
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      "resource_type": null,
112
      "resource_type": null,
            
113
      "similar_resources": "",
113
      "similar_resources": "",
            
114
      "size": 11670038,
114
      "size": 11670038,
            
115
      "sku": "moes-imd_cdsp_rainfall-pl-mn-aaa",
115
      "sku": "moes-imd_cdsp_rainfall-pl-mn-aaa",
            
116
      "state": "active",
116
      "state": "active",
            
117
      "states_uts_no": "33",
117
      "states_uts_no": "33",
            
118
      "tehsil_no": "0",
118
      "tehsil_no": "0",
            
119
      "url": 
119
      "url": 
            
120
urce/9f1f8ea2-19e2-4615-a7bd-1ec79f3cd3f9/download/cdsp-rainfall.csv",
120
urce/9f1f8ea2-19e2-4615-a7bd-1ec79f3cd3f9/download/cdsp-rainfall.csv",
            
121
      "url_type": "upload",
121
      "url_type": "upload",
            
122
      "years_covered": "1969 - 2020"
122
      "years_covered": "1969 - 2020"
            
123
    },
123
    },
            
124
    {
124
    {
            
125
      "additional_info": "",
125
      "additional_info": "",
            
126
      "cache_last_updated": null,
126
      "cache_last_updated": null,
            
127
      "cache_url": null,
127
      "cache_url": null,
            
128
      "created": "2023-10-07T10:25:32.231598",
128
      "created": "2023-10-07T10:25:32.231598",
            
129
      "data_extraction_page": 
129
      "data_extraction_page": 
            
130
"https://indiawris.gov.in/wris/#/rainfall",
130
"https://indiawris.gov.in/wris/#/rainfall",
            
131
      "data_insights": "",
131
      "data_insights": "",
            
132
      "data_last_updated": "2022-06-01 00:00:00",
132
      "data_last_updated": "2022-06-01 00:00:00",
            
133
      "data_retreival_date": "2022-06-15 00:00:00",
133
      "data_retreival_date": "2022-06-15 00:00:00",
            
134
      "datastore_active": true,
134
      "datastore_active": true,
            
135
      "description": "This dataset has data of Normal rainfall, Actual 
135
      "description": "This dataset has data of Normal rainfall, Actual 
            
136
rainfall, Percentage deviation from Normal Rainfall and Rainfall 
136
rainfall, Percentage deviation from Normal Rainfall and Rainfall 
            
137
Storage collected daily district wise data from the Indian 
137
Storage collected daily district wise data from the Indian 
            
138
Meteorological Department ranging from 2007 to till date.  This has 
138
Meteorological Department ranging from 2007 to till date.  This has 
            
139
the data from the year 2007 to 2022.",
139
the data from the year 2007 to 2022.",
            
140
      "district_no": "625",
140
      "district_no": "625",
            
141
      "format": "CSV",
141
      "format": "CSV",
            
142
      "frequency": "Daily",
142
      "frequency": "Daily",
            
143
      "geo_columns": [
143
      "geo_columns": [
            
144
        "state_code",
144
        "state_code",
            
145
        "district_code"
145
        "district_code"
            
146
      ],
146
      ],
            
147
      "gp_no": "",
147
      "gp_no": "",
            
148
      "granularity": "District",
148
      "granularity": "District",
            
149
      "hash": "",
149
      "hash": "",
            
150
      "id": "d97707e6-9309-46a5-ac31-e8482ce8f9eb",
150
      "id": "d97707e6-9309-46a5-ac31-e8482ce8f9eb",
            
151
      "idp_ready": true,
151
      "idp_ready": true,
            
152
      "last_modified": "2023-10-07T10:25:32.186480",
152
      "last_modified": "2023-10-07T10:25:32.186480",
            
153
      "lgd_mapping": "yes",
153
      "lgd_mapping": "yes",
            
154
      "metadata_modified": "2025-12-19T08:09:10.722781",
154
      "metadata_modified": "2025-12-19T08:09:10.722781",
            
155
      "methodology": "Actual rainfall data used in this module are 
155
      "methodology": "Actual rainfall data used in this module are 
            
156
from different sources, i.e., IMD Grid (0.25 x 0.25-degree size), NRSC 
156
from different sources, i.e., IMD Grid (0.25 x 0.25-degree size), NRSC 
            
157
(0.05 X 0.05-degree size), APWRIMS (Station wise rainfall) & different 
157
(0.05 X 0.05-degree size), APWRIMS (Station wise rainfall) & different 
            
158
state/ central agencies (Station wise rainfall).",
158
state/ central agencies (Station wise rainfall).",
            
159
      "mimetype": "",
159
      "mimetype": "",
            
160
      "mimetype_inner": null,
160
      "mimetype_inner": null,
            
161
      "name": "Daily Rainfall Data - District Level",
161
      "name": "Daily Rainfall Data - District Level",
            
162
      "no_indicators": "4",
162
      "no_indicators": "4",
            
163
      "package_id": "25664936-d131-4b07-845e-4bd2c0d794aa",
163
      "package_id": "25664936-d131-4b07-845e-4bd2c0d794aa",
            
164
      "position": 1,
164
      "position": 1,
            
165
      "resource_type": null,
165
      "resource_type": null,
            
166
      "similar_datasets": "",
166
      "similar_datasets": "",
            
167
      "size": 236173762,
167
      "size": 236173762,
            
168
      "sku": "wris-daily_rainfall_district-dt-dl-imd",
168
      "sku": "wris-daily_rainfall_district-dt-dl-imd",
            
169
      "state": "active",
169
      "state": "active",
            
170
      "states_uts_no": "37",
170
      "states_uts_no": "37",
            
171
      "tags": "",
171
      "tags": "",
            
172
      "tehsil_no": "",
172
      "tehsil_no": "",
            
173
      "url": 
173
      "url": 
            
174
a5-ac31-e8482ce8f9eb/download/daily-rainfall-data-district-level.csv",
174
a5-ac31-e8482ce8f9eb/download/daily-rainfall-data-district-level.csv",
            
175
      "url_type": "upload",
175
      "url_type": "upload",
            
176
      "village_no": "",
176
      "village_no": "",
            
177
      "years_covered": "2009-2023"
177
      "years_covered": "2009-2023"
            
178
    },
178
    },
            
179
    {
179
    {
            
180
      "additional_info": "nan",
180
      "additional_info": "nan",
            
181
      "cache_last_updated": null,
181
      "cache_last_updated": null,
            
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      "cache_url": null,
182
      "cache_url": null,
            
183
      "created": "2024-02-15T10:44:53.473993",
183
      "created": "2024-02-15T10:44:53.473993",
            
184
      "data_extraction_page": 
184
      "data_extraction_page": 
            
185
"https://indiawris.gov.in/wris/#/rainfall",
185
"https://indiawris.gov.in/wris/#/rainfall",
            
186
      "data_insights": "nan",
186
      "data_insights": "nan",
            
187
      "data_last_updated": "2024-01-18 00:00:00",
187
      "data_last_updated": "2024-01-18 00:00:00",
            
188
      "data_retreival_date": "2024-01-18 00:00:00",
188
      "data_retreival_date": "2024-01-18 00:00:00",
            
189
      "datastore_active": true,
189
      "datastore_active": true,
            
190
      "description": "This dataset has data of Normal rainfall, Actual 
190
      "description": "This dataset has data of Normal rainfall, Actual 
            
191
rainfall, Percentage deviation from Normal Rainfall and Rainfall 
191
rainfall, Percentage deviation from Normal Rainfall and Rainfall 
            
192
Storage collected daily state wise data from the Indian Meteorological 
192
Storage collected daily state wise data from the Indian Meteorological 
            
193
Department ranging from 2009 to till date.  This has the data from the 
193
Department ranging from 2009 to till date.  This has the data from the 
            
194
year 2009 to 2024.",
194
year 2009 to 2024.",
            
195
      "district_no": "0",
195
      "district_no": "0",
            
196
      "format": "CSV",
196
      "format": "CSV",
            
197
      "frequency": "Daily",
197
      "frequency": "Daily",
            
198
      "geo_columns": [
198
      "geo_columns": [
            
199
        "state_code"
199
        "state_code"
            
200
      ],
200
      ],
            
201
      "gp_no": "0",
201
      "gp_no": "0",
            
202
      "granularity": "State",
202
      "granularity": "State",
            
203
      "hash": "",
203
      "hash": "",
            
204
      "id": "5bddf229-7ce5-4c5b-895b-411f801f26e9",
204
      "id": "5bddf229-7ce5-4c5b-895b-411f801f26e9",
            
205
      "idp_ready": false,
205
      "idp_ready": false,
            
206
      "last_modified": "2024-02-15T10:44:53.445984",
206
      "last_modified": "2024-02-15T10:44:53.445984",
            
207
      "lgd_mapping": "yes",
207
      "lgd_mapping": "yes",
            
208
      "metadata_modified": "2025-12-19T08:09:11.903464",
208
      "metadata_modified": "2025-12-19T08:09:11.903464",
            
209
      "methodology": "Actual rainfall data used in this module are 
209
      "methodology": "Actual rainfall data used in this module are 
            
210
from different sources, i.e., IMD Grid (0.25 x 0.25-degree size), NRSC 
210
from different sources, i.e., IMD Grid (0.25 x 0.25-degree size), NRSC 
            
211
(0.05 X 0.05-degree size), APWRIMS (Station wise rainfall) & different 
211
(0.05 X 0.05-degree size), APWRIMS (Station wise rainfall) & different 
            
212
state/ central agencies (Station wise rainfall).",
212
state/ central agencies (Station wise rainfall).",
            
213
      "mimetype": "text/csv",
213
      "mimetype": "text/csv",
            
214
      "mimetype_inner": null,
214
      "mimetype_inner": null,
            
215
      "name": "Daily Rainfall at State Level",
215
      "name": "Daily Rainfall at State Level",
            
216
      "no_indicators": "1",
216
      "no_indicators": "1",
            
217
      "package_id": "25664936-d131-4b07-845e-4bd2c0d794aa",
217
      "package_id": "25664936-d131-4b07-845e-4bd2c0d794aa",
            
218
      "position": 2,
218
      "position": 2,
            
219
      "resource_type": null,
219
      "resource_type": null,
            
220
      "similar_datasets": [],
220
      "similar_datasets": [],
            
221
      "size": 12859687,
221
      "size": 12859687,
            
222
      "sku": "wris-daily_rainfall_state-st-dl-imd",
222
      "sku": "wris-daily_rainfall_state-st-dl-imd",
            
223
      "state": "active",
223
      "state": "active",
            
224
      "states_uts_no": "36",
224
      "states_uts_no": "36",
            
225
      "tags": [
225
      "tags": [
            
226
        "rainfall",
226
        "rainfall",
            
227
        "weather",
227
        "weather",
            
228
        "daily",
228
        "daily",
            
229
        "high value"
229
        "high value"
            
230
      ],
230
      ],
            
231
      "tehsil_no": "0",
231
      "tehsil_no": "0",
            
232
      "url": 
232
      "url": 
            
233
e5-4c5b-895b-411f801f26e9/download/daily-rainfall-at-state-level.csv",
233
e5-4c5b-895b-411f801f26e9/download/daily-rainfall-at-state-level.csv",
            
234
      "url_type": "upload",
234
      "url_type": "upload",
            
235
      "village_no": "0",
235
      "village_no": "0",
            
236
      "years_covered": "2009-2024"
236
      "years_covered": "2009-2024"
            
237
    },
237
    },
            
238
    {
238
    {
            
239
      "additional_info": "nan",
239
      "additional_info": "nan",
            
240
      "cache_last_updated": null,
240
      "cache_last_updated": null,
            
241
      "cache_url": null,
241
      "cache_url": null,
            
242
      "created": "2024-09-12T13:09:32.921614",
242
      "created": "2024-09-12T13:09:32.921614",
            
243
      "data_extraction_page": 
243
      "data_extraction_page": 
            
244
"https://cdsp.imdpune.gov.in/home_riturang_sn.php#snormals, later",
244
"https://cdsp.imdpune.gov.in/home_riturang_sn.php#snormals, later",
            
245
      "data_insights": "Monthly Surface Temperature for various 
245
      "data_insights": "Monthly Surface Temperature for various 
            
246
stations across the country provides estimates and other statistical 
246
stations across the country provides estimates and other statistical 
            
247
measures about the maximum and minimum temperatures recorded at a 
247
measures about the maximum and minimum temperatures recorded at a 
            
248
particular station. These stations are mapped to their respective 
248
particular station. These stations are mapped to their respective 
            
249
districts and states, providing an overall view. This information can 
249
districts and states, providing an overall view. This information can 
            
250
be used to predict and understand temperature trends, month-on-month 
250
be used to predict and understand temperature trends, month-on-month 
            
251
basis as well as on a yearly basis. The availability of data from 1969 
251
basis as well as on a yearly basis. The availability of data from 1969 
            
252
to 2020 allows the user to analyze temperature patterns and anomalies 
252
to 2020 allows the user to analyze temperature patterns and anomalies 
            
253
in temperatures recorded to map further predictions. ",
253
in temperatures recorded to map further predictions. ",
            
254
      "data_last_updated": "01-12-2020",
254
      "data_last_updated": "01-12-2020",
            
255
      "data_retreival_date": "08-08-2023",
255
      "data_retreival_date": "08-08-2023",
            
256
      "datastore_active": true,
256
      "datastore_active": true,
            
257
      "description": "The dataset provides the summary of monthly 
257
      "description": "The dataset provides the summary of monthly 
            
258
surface normal temperatures in various stations across the country 
258
surface normal temperatures in various stations across the country 
            
259
from 1969 to 2020. The stations are mapped to their respective 
259
from 1969 to 2020. The stations are mapped to their respective 
            
260
district and states along with the LGD State and District Codes. ",
260
district and states along with the LGD State and District Codes. ",
            
261
      "district_no": "174",
261
      "district_no": "174",
            
262
      "format": "CSV",
262
      "format": "CSV",
            
263
      "frequency": "Monthly",
263
      "frequency": "Monthly",
            
n
n
264
      "geo_columns": [
            
265
        "state_code",
            
266
        "district_code"
            
267
      ],
            
264
      "gp_no": "0",
268
      "gp_no": "0",
            
265
      "granularity": "Point",
269
      "granularity": "Point",
            
266
      "hash": "",
270
      "hash": "",
            
267
      "id": "9d4190cc-7528-4086-b44e-b6208e02cde0",
271
      "id": "9d4190cc-7528-4086-b44e-b6208e02cde0",
            
268
      "idp_ready": false,
272
      "idp_ready": false,
            
269
      "last_modified": "2024-09-12T13:09:32.889931",
273
      "last_modified": "2024-09-12T13:09:32.889931",
            
t
270
      "metadata_modified": "2024-09-12T13:15:06.241137",
t
274
      "metadata_modified": "2025-12-19T08:09:13.144890",
            
271
      "methodology": "The minimum and maximum temperatures for various 
275
      "methodology": "The minimum and maximum temperatures for various 
            
272
stations are recorded and consolidated on the Climate Data Service 
276
stations are recorded and consolidated on the Climate Data Service 
            
273
Portal by the Indian Meteorlogical Department.",
277
Portal by the Indian Meteorlogical Department.",
            
274
      "mimetype": "text/csv",
278
      "mimetype": "text/csv",
            
275
      "mimetype_inner": null,
279
      "mimetype_inner": null,
            
276
      "name": "Temperature",
280
      "name": "Temperature",
            
277
      "no_indicators": "4",
281
      "no_indicators": "4",
            
278
      "package_id": "25664936-d131-4b07-845e-4bd2c0d794aa",
282
      "package_id": "25664936-d131-4b07-845e-4bd2c0d794aa",
            
279
      "position": 3,
283
      "position": 3,
            
280
      "resource_type": null,
284
      "resource_type": null,
            
281
      "similar_datasets": [],
285
      "similar_datasets": [],
            
282
      "size": 30771354,
286
      "size": 30771354,
            
283
      "sku": "moes-imd_cdsp_temperature-pl-mn-aaa",
287
      "sku": "moes-imd_cdsp_temperature-pl-mn-aaa",
            
284
      "state": "active",
288
      "state": "active",
            
285
      "states_uts_no": "33",
289
      "states_uts_no": "33",
            
286
      "tags": [
290
      "tags": [
            
287
        "Minimum Temperature",
291
        "Minimum Temperature",
            
288
        "Maximum Temperature",
292
        "Maximum Temperature",
            
289
        "Temperature Trends\n Weather"
293
        "Temperature Trends\n Weather"
            
290
      ],
294
      ],
            
291
      "tehsil_no": "0",
295
      "tehsil_no": "0",
            
292
      "url": 
296
      "url": 
            
293
source/9d4190cc-7528-4086-b44e-b6208e02cde0/download/temperature.csv",
297
source/9d4190cc-7528-4086-b44e-b6208e02cde0/download/temperature.csv",
            
294
      "url_type": "upload",
298
      "url_type": "upload",
            
295
      "village_no": "0",
299
      "village_no": "0",
            
296
      "years_covered": "1969 - 2020"
300
      "years_covered": "1969 - 2020"
            
297
    }
301
    }
            
298
  ],
302
  ],
            
299
  "sector": [
303
  "sector": [
            
300
    "Climate and Weather"
304
    "Climate and Weather"
            
301
  ],
305
  ],
            
302
  "source_name": "India Meteorological Department",
306
  "source_name": "India Meteorological Department",
            
303
  "state": "active",
307
  "state": "active",
            
304
  "title": "Climate Data",
308
  "title": "Climate Data",
            
305
  "type": "dataset",
309
  "type": "dataset",
            
306
  "url": "https://cdsp.imdpune.gov.in/",
310
  "url": "https://cdsp.imdpune.gov.in/",
            
307
  "version": null
311
  "version": null
            
308
}
312
}