[]

None

[{"date": "2021-02-15", "pageviews": 183, "downloads": 56, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-02-22", "pageviews": 203, "downloads": 65, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-03-01", "pageviews": 214, "downloads": 61, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-03-08", "pageviews": 207, "downloads": 73, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-03-15", "pageviews": 261, "downloads": 104, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-03-22", "pageviews": 181, "downloads": 99, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-03-29", "pageviews": 152, "downloads": 55, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-04-05", "pageviews": 169, "downloads": 41, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-04-12", "pageviews": 196, "downloads": 54, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-04-19", "pageviews": 137, "downloads": 42, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-04-26", "pageviews": 171, "downloads": 79, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-05-03", "pageviews": 204, "downloads": 89, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-05-10", "pageviews": 182, "downloads": 77, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-05-17", "pageviews": 289, "downloads": 90, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-05-24", "pageviews": 217, "downloads": 51, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-05-31", "pageviews": 163, "downloads": 56, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-06-07", "pageviews": 171, "downloads": 85, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-06-14", "pageviews": 317, "downloads": 106, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-06-21", "pageviews": 208, "downloads": 64, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-06-28", "pageviews": 135, "downloads": 39, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-07-05", "pageviews": 135, "downloads": 33, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-07-12", "pageviews": 169, "downloads": 36, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-07-19", "pageviews": 151, "downloads": 38, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-07-26", "pageviews": 140, "downloads": 49, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}, {"date": "2021-08-02", "pageviews": 77, "downloads": 25, "org_id": "ba5aacba-0633-4364-9528-bc76a3f6cf95"}]

[{"url": "/dataset/ethiopia-flooding-somali-region", "dataset_id": "74f5d67a-75e6-4d00-bb1e-8342a166aa3b", "total": 1567, "name": "Ethiopia flooding Somali region", "value": 30}, {"url": "/dataset/population-potentially-exposed-to-floods-between-12-21-july-2020-in-bangladesh", "dataset_id": "ef051f1c-4da2-4b08-912f-198078394a35", "total": 1567, "name": "Population potentially exposed to floods between 12&21 July 2020 in Bangladesh", "value": 29}, {"url": "/dataset/fl20070802bgd-flood-vectors-modisaqua-20-august-2007", "dataset_id": "2abbf429-e49f-4e9c-ab2b-91f6381bc3ac", "total": 1567, "name": "Flood analysis for Bangladesh (20 August 2007)", "value": 24}, {"url": "/dataset/unosat-analysis-on-floods-in-mozambique-march-2019", "dataset_id": "63990e37-c6da-40b0-ab6f-27b6b843e24c", "total": 1567, "name": "UNOSAT Geospatial Data on Floods in Mozambique - March 2019", "value": 18}, {"url": "/dataset/tropical-storm-kenneth-population-exposure-analysis-in-mozambique-23-april-2019", "dataset_id": "d607761b-c9f9-437d-8480-105adad64283", "total": 1567, "name": "Cyclone Kenneth: Population Exposure Analysis in Mozambique - 23 April 2019", "value": 17}, {"url": "/dataset/satellite-detected-waters-in-savu-area-naitasiri-province-central-division-fiji", "dataset_id": "e65a452e-8154-49cf-afe5-9425563675ab", "total": 1567, "name": "Satellite Detected Waters in Savu Area, Naitasiri Province, Central Division, Fiji", "value": 17}, {"url": "/dataset/damage-density-of-mosul-ninawa-governorate-iraq-2739", "dataset_id": "ab5d9d8b-7956-4a09-8499-e42b72f253fc", "total": 1567, "name": "Damage density of Mosul, Ninawa Governorate, Iraq", "value": 16}, {"url": "/dataset/fl20081110ken-flood-vectors-alospalsar-12-november-2008", "dataset_id": "5c0d459f-8447-4fd3-9550-d0f4c6905925", "total": 1567, "name": "Flood analysis for Kenya (12 November 2008)", "value": 15}, {"url": "/dataset/somalia-flooding-belet-weyne-town-belet-weyne-district-hiiran-region", "dataset_id": "6bcd7188-24a8-4b2f-8d1e-fc30f5144589", "total": 1567, "name": "Somalia flooding Belet Weyne Town, Belet Weyne District, Hiiran Region", "value": 15}, {"url": "/dataset/bahamas-tropical-cyclone-dorian-19-population-exposure-report", "dataset_id": "addc33ab-d442-4867-b36e-62da117ce9b7", "total": 1567, "name": "Bahamas\u2013Tropical Cyclone Dorian-19 - Population exposure report", "value": 15}, {"url": "/dataset/satellite-detected-surface-waters-extent-in-ho-chi-minh-city-area-vietnam-2749", "dataset_id": "b637a0ea-bca2-4322-a9b3-e861170380a8", "total": 1567, "name": "Satellite Detected Surface Waters Extent in Ho Chi Minh City Area, Vietnam", "value": 14}, {"url": "/dataset/damage-assessment-of-mosul-ninawa-governorate-iraq-2738", "dataset_id": "c83dc9d1-4a4e-4519-906a-09aec3d04e50", "total": 1567, "name": "Damage assessment of Mosul, Ninawa Governorate, Iraq", "value": 14}, {"url": "/dataset/satellite-detected-waters-in-khulna-division-bangladesh-as-of-25-may-2020", "dataset_id": "1df62a5d-7c3a-4923-a4fc-ff893a889100", "total": 1567, "name": "Satellite detected waters in Khulna division, Bangladesh", "value": 13}, {"url": "/dataset/landslides-assessment-in-pokot-south-and-sigor-sub-counties-west-pokot-county-kenya", "dataset_id": "39b6ff17-e4b8-4842-b3a2-e5190fcf969e", "total": 1567, "name": "Landslides assessment in Pokot South and Sigor Sub Counties West Pokot County, Kenya", "value": 13}, {"url": "/dataset/population-exposure-table-by-windspeed-zone-at-district-level-in-bahamas", "dataset_id": "3810410c-9069-4795-8bf3-c74d6707279c", "total": 1567, "name": "Population exposure table by windspeed zone at district level in Bahamas", "value": 12}, {"url": "/dataset/geodata-of-flood-waters-over-ampara-and-batticaloa-districts-sri-lanka-december-31-2014", "dataset_id": "23b99325-27ad-4e82-a936-04f00b78c390", "total": 1567, "name": "Geodata of Flood Waters Over Ampara and Batticaloa Districts, Sri Lanka", "value": 11}, {"url": "/dataset/geodata-of-damage-assessment-of-sanaa-city-sanaa-governorate-yemen-october-15-2015", "dataset_id": "acaf4b0b-03d8-4090-8b89-7b5bf672023d", "total": 1567, "name": "Geodata of Damage Assessment of Sana'a City, Sana'a Governorate, Yemen", "value": 11}, {"url": "/dataset/water-extent-as-of-2-january-2020-over-banten-dki-jakarta-and-jawa-barat-province-of-indon", "dataset_id": "be52f4b5-ae95-4526-b429-a4d89c9009e2", "total": 1567, "name": "Satellite detected water extent as of 2 January 2020 over Banten, Dki Jakarta and Jawa Barat Province of Indonesia", "value": 11}, {"url": "/dataset/preliminary-landslide-inventory-of-freetown-sierra-leone-18-august-2017", "dataset_id": "22eba581-e0b4-4a00-8c41-8d77103ee8f6", "total": 1567, "name": "Preliminary landslide inventory of Freetown, Sierra Leone 18 August 2017", "value": 10}, {"url": "/dataset/geodata-of-damage-assessment-of-kalam-area-swat-district-khyber-pakhtunkhwa-p-november-10-2015", "dataset_id": "44b8e038-692a-4fac-89b1-97c7739c1645", "total": 1567, "name": "Geodata of Damage Assessment of Kalam Area, Swat District, Khyber Pakhtunkhwa Province, Pakistan", "value": 10}, {"url": "/dataset/structures-at-the-doro-settlement-in-south-sudan-2752", "dataset_id": "59dcc2e5-8555-46b1-8ff4-6aa62b8a000b", "total": 1567, "name": "Structures at the Doro settlement in South Sudan", "value": 10}, {"url": "/dataset/infrastructure-and-roads-damage-assessment-of-deir-ez-zor-deir-ez-zor-governorate-syria-2748", "dataset_id": "bfdcc8fc-3832-4c79-b72d-1d938023da72", "total": 1567, "name": "Infrastructure and roads damage assessment of Deir Ez Zor, Deir Ez Zor Governorate, Syria", "value": 10}, {"url": "/dataset/eaux-de-surface-detectees-par-satellite-en-republique-de-madagascar", "dataset_id": "0b4b6f78-62bc-4c31-be44-f759834d32b7", "total": 1567, "name": "Eaux de surface d\u00e9tect\u00e9es par satellite en R\u00e9publique de Madagascar", "value": 9}, {"url": "/dataset/damage-assessment-in-new-mirpur-azad-jammu-and-kashmir-pakistan-as-of-02-october-2019", "dataset_id": "1d976f4a-f078-42c9-9e58-75bbaf3aa284", "total": 1567, "name": "Damage assessment in New Mirpur, Azad Jammu and Kashmir, Pakistan, as of 02 October 2019", "value": 9}, {"url": "/dataset/geodata-of-gaza-damage-assessment-2014-unosat-satellite-derived-geospatial-an-october-02-2014", "dataset_id": "b1e2333f-1379-4ec3-b26d-4c970cc9f472", "total": 1567, "name": "Geodata of Gaza Damage Assessment 2014: UNOSAT Satellite Derived Geospatial Analysis", "value": 9}]