全部/知识/实时热榜

HDX · 实时热榜

HISTORY2026年8月17日98 不同热搜
08/0309/01 有历史数据
DAILY UNIQUE TOPICS98 个热搜
  1. 01
    Indonesia - Earthquake on Aug 15 2026

    **ADAM ID: **[sm\_us6000tkyk](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tkyk) Magnitude 6.9 earthquake at 183.226 depth occurred on Aug 15 2026 7km NW of Pematangsiantar. The epicentre of the earthquake was located at latitude 3.018 longitude 99.0376. It impacted 1018964 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 309:47 达到当日首次采集时已在榜16:11 观测离榜累计约16小时12分
  2. 02
    Russian Federation - Earthquake on Aug 15 2026

    **ADAM ID: **[sm\_us6000tkvj](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tkvj) Magnitude 5.4 earthquake at 78.982 depth occurred on Aug 15 2026 38 km SSE of Severo-Kuril’sk, Russia. The epicentre of the earthquake was located at latitude 50.3745 longitude 156.3863. It impacted 1680 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 209:47 达到当日首次采集时已在榜16:11 观测离榜累计约16小时12分
  3. 03
    Indonesia - Earthquake on Aug 15 2026

    **ADAM ID: **[sm\_us6000tl1s](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tl1s) Magnitude 5.7 earthquake at 72.495 depth occurred on Aug 15 2026 26km S of Tinombo. The epicentre of the earthquake was located at latitude 0.1542 longitude 120.2573. It impacted 123016 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 509:47 达到当日首次采集时已在榜16:11 观测离榜累计约16小时12分
  4. 04
    Papua New Guinea - Earthquake on Aug 15 2026

    **ADAM ID: **[sm\_us6000tkyz](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tkyz) Magnitude 5.4 earthquake at 120.214 depth occurred on Aug 15 2026 17km W of Samban. The epicentre of the earthquake was located at latitude -4.411 longitude 143.9212. It impacted 29223 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 409:47 达到当日首次采集时已在榜16:11 观测离榜累计约16小时12分
  5. 05
    FAO Data in Emergencies Monitoring System (DIEM)

    The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access. As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO). At the core of the system is a standardized household questionnaire administered to around 150,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in frequent cases at Admin 2 l…

    最高第 110:03 达到当日首次采集时已在榜16:11 观测离榜上榜 2 次(重入 1 次)累计约15小时56分
  6. 06
    2019 Tropical Cyclone Pawan Path

    This layer shows movement path of 2019 Tropical Cyclone Pawan in Somalia. A Tropical Storm initially named 06A formed in the northern Indian Ocean and later developed into a Tropical Cyclone named Pawan after sustaining wind speeds of more than 39mph (48kph) and heavy rain for two days. TC Pawan spread its clouds as far northwest as Oman and Yemen on its way to Somalia. It made landfall in Somalia on 7th December 2019 on the Coastal side of Puntland (Bossaso, Garowe). The worst hit areas by 2019 TC Pawan included Nugaal Region (Eyl and Dangorayo Districts), Karkaar (Qardho District) and Bari Region (Alula, Iskushuban, and Baargaal Districts) who are under Garowe Somalia Red Crescent Society (SRCS) Branch) and the Coastal villages of Hafun, Iskushuban, Baargaal, Quandala and Alula Districts in Bari Region (under Bosasso SRCS Branch). Other areas affected include the coastal villages in Bari Region including Hafun, Iskushuban, Baargaal, Quandala and Alula districts. Most affected households needed urgent humanitarian assistance as they were already living in dire conditions prior to the crisis. The destruction and flooding caused by TC Pawan increased the vulnerability of communities…

    最高第 100:00 达到当日首次采集时已在榜20:11 观测离榜上榜 2 次(重入 1 次)累计约11小时56分
  7. 07
    Democratic Republic of the Congo - CERF Allocations

    This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF) for Democratic Republic of the Congo. CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.

    最高第 214:03 达到当日首次采集时已在榜16:11 观测离榜上榜 2 次(重入 1 次)累计约11小时56分
  8. 08
    Venezuela (Bolivarian Republic of) - CERF Allocations

    This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF) for Venezuela (Bolivarian Republic of). CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.

    最高第 114:03 达到当日首次采集时已在榜16:11 观测离榜上榜 2 次(重入 1 次)累计约11小时56分
  9. 09
    GDACS RSS Information

    GDACS alerts are issued for earthquakes and possible subsequent tsunamis, tropical cyclones, floods and volcanoes. Earthquake, tsunami and tropical cyclones calculations and assessments are done automatically, without human intervention. Floods and volcanic eruptions are currently manually introduced. Research and development is continuous to improve the global monitoring.

    最高第 109:47 达到09:47 首次观测上榜23:07 观测离榜上榜 3 次(重入 2 次)累计约11小时44分
  10. 10
    FAO EVE Global Flood Monitoring System

    The DIEM Events Visualization in Emergencies (EVE) system provides resources to enhance the understanding of flood events and their impact on different land cover types, with a particular focus on agricultural areas. EVE provides a flood persistence analysis as well as an estimation of the population exposed to such events. EVE utilizes satellite-derived data from the NOAA Visible Infrared Imaging Radiometer Suite (VIIRS) at a 375-meter resolution, alongside land cover data from the European Space Agency’s WorldCover 10m 2021 dataset. Covering approximately 40 countries, the system offers daily and biweekly insights, providing a continuously updated view of flood dynamics and their effects. Access the [FAO EVE user guide](https://data-in-emergencies.fao.org/documents/3335ee769a4e45708e27d2ee25d13bef/about) to learn more. The platform presents results through interactive maps, charts, and tables, supporting decision-making in disaster management, agricultural planning, and environmental monitoring. Most resources are publicly accessible, though downloading aggregated data at the admin2 level requires a [DIEM account](https://hqfao.maps.arcgis.com/sharing/rest/oauth2/signup?client_id…

    最高第 600:00 达到当日首次采集时已在榜09:47 观测离榜累计约9小时48分
  11. 11
    USGS Magnitude 2.5+ Earthquakes

    This data lists events with magnitude 2.5+ which have been located by the USGS and contributing agencies within the last day and last week. To see these events in an interactive map, see the [USGS map](https://earthquake.usgs.gov/earthquakes/map/?extent=32.00808,23.99414&extent=44.2924,47.59277). For more information, see the [USGS site](https://www.usgs.gov/programs/earthquake-hazards/earthquakes).

    最高第 200:00 达到当日首次采集时已在榜09:47 观测离榜累计约9小时48分
  12. 12
    Indonesia - Earthquake on Aug 14 2026

    **ADAM ID: **[sm\_us6000tkta](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tkta) Magnitude 5.9 earthquake at 10.0 depth occurred on Aug 14 2026 37km NE of Labuan Bajo. The epicentre of the earthquake was located at latitude -8.2849 longitude 120.1465. It impacted 360086 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 800:00 达到当日首次采集时已在榜09:47 观测离榜累计约9小时48分
  13. 13
    Indonesia - Earthquake on Aug 14 2026

    **ADAM ID: **[sm\_us6000tkuc](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tkuc) Magnitude 6.1 earthquake at 10.0 depth occurred on Aug 14 2026 43km NE of Mbay. The epicentre of the earthquake was located at latitude -8.3186 longitude 121.5717. It impacted 177384 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 1000:00 达到当日首次采集时已在榜09:47 观测离榜累计约9小时48分
  14. 14
    Indonesia - Earthquake on Aug 14 2026

    **ADAM ID: **[sm\_us6000tkt2](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tkt2) Magnitude 7.7 earthquake at 10.0 depth occurred on Aug 14 2026 29km NE of Mbay. The epicentre of the earthquake was located at latitude -8.3101 longitude 121.3517. It impacted 183300 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 700:00 达到当日首次采集时已在榜09:47 观测离榜累计约9小时48分
  15. 15
    Indonesia - Earthquake on Aug 14 2026

    **ADAM ID: **[sm\_us6000tku7](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tku7) Magnitude 5.6 earthquake at 10.0 depth occurred on Aug 14 2026 30km NE of Mbay. The epicentre of the earthquake was located at latitude -8.3406 longitude 121.4284. It impacted 200190 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 900:00 达到当日首次采集时已在榜09:47 观测离榜累计约9小时48分
  16. 16
    Indonesia - Earthquake on Aug 14 2026

    **ADAM ID: **[sm\_us6000tkuf](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tkuf) Magnitude 5.5 earthquake at 10.0 depth occurred on Aug 14 2026 51km NE of Labuan Bajo. The epicentre of the earthquake was located at latitude -8.1604 longitude 120.1908. It impacted 196189 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 1100:00 达到当日首次采集时已在榜09:47 观测离榜累计约9小时48分
  17. 17
    Yemen - GLIDE Disaster Events

    GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

    最高第 223:07 达到09:47 首次观测上榜当日结束时仍在榜上榜 2 次(重入 1 次)累计约7小时12分
  18. 18
    Global - GLIDE Disaster Events

    GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

    最高第 123:07 达到09:47 首次观测上榜当日结束时仍在榜上榜 2 次(重入 1 次)累计约7小时12分
  19. 19
    South Africa - GLIDE Disaster Events

    GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

    最高第 323:07 达到09:47 首次观测上榜当日结束时仍在榜上榜 2 次(重入 1 次)累计约7小时12分
  20. 20
    Indonesia - Earthquake on Aug 16 2026

    **ADAM ID: **[sm\_us6000tl6a](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tl6a) Magnitude 5.5 earthquake at 10.0 depth occurred on Aug 16 2026 77km N of Ruteng. The epicentre of the earthquake was located at latitude -7.9322 longitude 120.5855. It impacted 84139 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 709:47 达到09:47 首次观测上榜16:11 观测离榜累计约6小时24分
  21. 21
    Indonesia - Earthquake on Aug 16 2026

    **ADAM ID: **[sm\_usd0015e7j](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_usd0015e7j) Magnitude 5.3 earthquake at 10.0 depth occurred on Aug 16 2026 76km N of Ruteng. The epicentre of the earthquake was located at latitude -7.9399 longitude 120.5995. It impacted 89749 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 809:47 达到09:47 首次观测上榜16:11 观测离榜累计约6小时24分
  22. 22
    Micronesia (Federated States of) - Earthquake on Aug 15 2026

    **ADAM ID: **[sm\_us6000tl43](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us6000tl43) Magnitude 5.4 earthquake at 10.0 depth occurred on Aug 15 2026 19km NE of Colonia. The epicentre of the earthquake was located at latitude 9.6571 longitude 138.224. It impacted 7 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 609:47 达到09:47 首次观测上榜16:11 观测离榜累计约6小时24分
  23. 23
    Indonesia - Earthquake on Aug 17 2026

    **ADAM ID: **[sm\_usd0015eay](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_usd0015eay) Magnitude 5.7 earthquake at 35.585 depth occurred on Aug 17 2026 23km E of Mbay. The epicentre of the earthquake was located at latitude -8.5128 longitude 121.4731. It impacted 286103 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

    最高第 909:47 达到09:47 首次观测上榜16:11 观测离榜累计约6小时24分
  24. 24
    Uganda - GLIDE Disaster Events

    GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

    最高第 523:07 达到09:47 首次观测上榜当日结束时仍在榜上榜 2 次(重入 1 次)累计约5小时4分
  25. 25
    Venezuela (Bolivarian Republic of) - GLIDE Disaster Events

    GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

    最高第 423:07 达到09:47 首次观测上榜当日结束时仍在榜上榜 2 次(重入 1 次)累计约5小时4分
  26. 26
    Syria (SYR): Attacks on Aid Operations, Education, Food and Water Systems, Health Care and IDP/Refugee Camps, and Conflict-Related Sexual Violence and Explosive Weapons Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [Syria](https://insecurityinsight.org/country-pages/syria). They also provide information on incidents of conflict-related sexual violence (CRSV) and explosive weapons use affecting aid access, education, food systems and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 216:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  27. 27
    Iran (IRN): Attacks on Aid Operations, Education, Health Care, and Political-Related Sexual Violence and Explosive Weapons Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, health care services in Iran. They also provide information on incidents on political-related sexual violence as well as information on incidents of explosive weapons use affecting aid access, education and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 916:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  28. 28
    Ethiopia (ETH): Attacks on Aid Operations, Education, Health Care and IDP/Refugee Camps, and Conflict-Related Sexual Violence and Explosive Weapons Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, health care services and refugee and IDP camps in [Ethiopia](https://insecurityinsight.org/country-pages/ethiopia). They also provide information on incidents of conflict related sexual violence (CRSV) and explosive weapons use affecting aid access, education and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 1016:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  29. 29
    Lebanon (LBN): Attacks on Aid Operations, Education, Food and Water Systems, Health Care and IDP/Refugee Camps and Explosive Weapons Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems and health care services and refugee and IDP camps in [Lebanon](https://insecurityinsight.org/country-pages/lebanon). They also provide information on incidents of explosive weapons use affecting aid access, education, food systems and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 816:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  30. 30
    Myanmar (MMR): Attacks on Aid Operations, Education, Health Care, Food and Water Systems and IDP/Refugee Camps, and Conflict-Related Sexual Violence and Explosive Weapons Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [Myanmar](https://insecurityinsight.org/country-pages/myanmar). They also provide information on incidents of explosive weapons use affecting aid access, education, food systems and health care services as well information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 716:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  31. 31
    Sudan (SDN): Attacks on Aid Operations, Education, Food and Water Systems, Health Care and IDP/Refugee Camps, and Conflict-Related or Political-Related Sexual Violence and Explosive Weapons Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [Sudan](https://insecurityinsight.org/country-pages/sudan). They also provide information on incidents of conflict related sexual violence (CRSV), political-related sexual violence and explosive weapons use affecting aid access, education, food systems and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 416:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  32. 32
    State of Palestine (PSE): Attacks on Aid Operations, Education, Food and Water Systems, Health Care and IDP/Refugee Camps, and Conflict-Related Sexual Violence and Explosive Weapons Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in the [oPt](https://insecurityinsight.org/country-pages/occupied-palestinian-territory-opt). They also provide information on incidents of conflict related sexual violence (CRSV) and explosive weapons use affecting aid access, education, food security and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 516:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  33. 33
    Yemen (YEM): Attacks on Aid Operations, Education, Food and Water Systems, Health Care and IDP/Refugee Camps, and Explosive Weapons Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [Yemen](https://insecurityinsight.org/country-pages/yemen). They also provide information on incidents of explosive weapons use affecting aid access, food systems, education and health care services. Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 116:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  34. 34
    South Sudan (SSD): Attacks on Aid Operations, Education, Health Care, Food and Water Systems, and IDP/Refugee Camps, and Conflict-Related Sexual Violence Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems, health care services and refugee and IDP camps in [South Sudan](https://insecurityinsight.org/country-pages/south-sudan). They also provide information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 316:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  35. 35
    Democratic Republic of the Congo (COD): Attacks on Aid Operations, Education, Food and Water Systems, Health Care and IDP/Refugee Camps, and Conflict-Related or Political-Related Sexual Violence and Explosive Weapons Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food security, health care services and refugee and IDP camps in the [DRC](https://insecurityinsight.org/country-pages/democratic-republic-of-the-congo). They also provide information on incidents of explosive weapons use affecting aid access, education, food systems and health care services as well information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 1116:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  36. 36
    Cameroon (CMR): Attacks on Aid Operations, Education, Food and Water Systems and Health Care and IDP/Refugee Camps, and Conflict-Related Sexual Violence

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, food systems and health care services in [Cameroon](https://insecurityinsight.org/country-pages/cameroon). They also provide information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 1216:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  37. 37
    Nigeria (NGA): Attacks on Aid Operations, Education, Health Care and IDP/Refugee Camps, and Conflict-Related Sexual Violence Incident Data

    This page contains information on reported incidents of violence and threats affecting aid operations and workers, education, health care services and refugee and IDP camps in [Nigeria](https://insecurityinsight.org/country-pages/nigeria). They also provide information on incidents of conflict related sexual violence (CRSV). Also included are datasets cited in the [Safeguarding Health in Conflict Coalition (SHCC)'s](https://www.safeguardinghealth.org/) annual reports. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org

    最高第 616:11 达到16:11 首次观测上榜20:11 观测离榜累计约4小时
  38. 38
    Peace and Security Pillar: Estimated Extrabudgetary Resources for Special Political Missions

    The dataset contains the estimated extrabudgetary resources for special political missions. Extrabudgetary resources are regularly used for backstopping, surge requirements for good offices, crisis situations and other activities related to the mandates of Special Political Missions. The resources are critical for inter-mission activities and backstopping capacity at Headquarters, thereby enabling closer collaboration. Extrabudgetary resources are also used for targeted projects in different regions, such as on water management in Central Asia, in the Cameroon-Nigeria land boundary region, and various projects in the Great Lakes region.

    最高第 117:31 达到17:31 首次观测上榜20:11 观测离榜累计约2小时40分
  39. 39
    State of Palestine - Internal Displacements Updates (IDU)

    Conflict and disaster population movement (flows) data for State of Palestine. The **IDU (Internal Displacement Updates) dataset**, provided by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), offers timely event data and provisional information on new internal displacements caused by conflicts and disasters. Representing the most recent available information, the IDU is updated daily and focuses on "flows" (new displacements). Internally displaced persons (IDPs) are defined according to the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's event data, sourced from the IDU, provides initial assessments of these internal displacements, reflecting continually updated provisional information…

    最高第 220:43 达到20:43 首次观测上榜23:07 观测离榜累计约2小时24分
  40. 40
    Uganda - Internal Displacements Updates (IDU)

    Conflict and disaster population movement (flows) data for Uganda. The **IDU (Internal Displacement Updates) dataset**, provided by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), offers timely event data and provisional information on new internal displacements caused by conflicts and disasters. Representing the most recent available information, the IDU is updated daily and focuses on "flows" (new displacements). Internally displaced persons (IDPs) are defined according to the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's event data, sourced from the IDU, provides initial assessments of these internal displacements, reflecting continually updated provisional information from various…

    最高第 120:43 达到20:43 首次观测上榜23:07 观测离榜累计约2小时24分
  41. 41
    Zimbabwe - IFRC Appeals

    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a [global dataset](https://data.humdata.org/dataset/global-ifrc-appeals-data).

    最高第 120:27 达到20:27 首次观测上榜22:19 观测离榜累计约1小时52分
  42. 42
    Democratic Republic of the Congo - Internal Displacements Updates (IDU)

    Conflict and disaster population movement (flows) data for Democratic Republic of the Congo. The **IDU (Internal Displacement Updates) dataset**, provided by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), offers timely event data and provisional information on new internal displacements caused by conflicts and disasters. Representing the most recent available information, the IDU is updated daily and focuses on "flows" (new displacements). Internally displaced persons (IDPs) are defined according to the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's event data, sourced from the IDU, provides initial assessments of these internal displacements, reflecting continually updated provisiona…

    最高第 520:43 达到20:43 首次观测上榜22:35 观测离榜累计约1小时52分
  43. 43
    Iran (Islamic Republic of) - Internal Displacements Updates (IDU)

    Conflict and disaster population movement (flows) data for Iran (Islamic Republic of). The **IDU (Internal Displacement Updates) dataset**, provided by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), offers timely event data and provisional information on new internal displacements caused by conflicts and disasters. Representing the most recent available information, the IDU is updated daily and focuses on "flows" (new displacements). Internally displaced persons (IDPs) are defined according to the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's event data, sourced from the IDU, provides initial assessments of these internal displacements, reflecting continually updated provisional info…

    最高第 420:43 达到20:43 首次观测上榜22:35 观测离榜累计约1小时52分
  44. 44
    Lebanon - Internal Displacements Updates (IDU)

    Conflict and disaster population movement (flows) data for Lebanon. The **IDU (Internal Displacement Updates) dataset**, provided by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), offers timely event data and provisional information on new internal displacements caused by conflicts and disasters. Representing the most recent available information, the IDU is updated daily and focuses on "flows" (new displacements). Internally displaced persons (IDPs) are defined according to the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's event data, sourced from the IDU, provides initial assessments of these internal displacements, reflecting continually updated provisional information from variou…

    最高第 320:43 达到20:43 首次观测上榜22:35 观测离榜累计约1小时52分
  45. 45
    Explosive Weapons Monitor Data by Insecurity Insight

    This page contains agency- and open source events in which aid access, education, food systems and health care services were impacted by [explosive weapons](https://insecurityinsight.org/projects/explosive-weapons). Categorized by country. Insecurity Insight collaborates with the [International Network on Explosive Weapons (INEW)](https://www.inew.org/) in producing research and analysis on the harm and use of explosive weapons for the [Explosive Weapons Monitor](https://www.explosiveweaponsmonitor.org/) by documenting their effects on health care, education, food systems and aid access. Please get in touch if you are interested in curated Resources: info@insecurityinsight.org

    最高第 1316:11 达到16:11 首次观测上榜18:03 观测离榜累计约1小时52分
  46. 46
    Zambia - IFRC Appeals

    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a [global dataset](https://data.humdata.org/dataset/global-ifrc-appeals-data).

    最高第 220:27 达到20:27 首次观测上榜22:03 观测离榜累计约1小时36分
  47. 47
    South Africa - IFRC Appeals

    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a [global dataset](https://data.humdata.org/dataset/global-ifrc-appeals-data).

    最高第 320:27 达到20:27 首次观测上榜22:03 观测离榜累计约1小时36分
  48. 48
    Yemen - IFRC Appeals

    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a [global dataset](https://data.humdata.org/dataset/global-ifrc-appeals-data).

    最高第 420:27 达到20:27 首次观测上榜22:03 观测离榜累计约1小时36分
  49. 49
    Venezuela (Bolivarian Republic of) - IFRC Appeals

    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a [global dataset](https://data.humdata.org/dataset/global-ifrc-appeals-data).

    最高第 820:27 达到20:27 首次观测上榜21:47 观测离榜累计约1小时20分
  50. 50
    Afghanistan - Rapid Household Assessments 2024 January-June

    Following the change in authority in Afghanistan on 15 August 2021 and the resulting declaration of a Level 3 emergency, UNHCR introduced a rapid assessment methodology to quickly assess humanitarian and protection needs throughout the country as part of scale-up by UNHCR to respond to the unfolding crisis - an effort that continued throughout 2024. The primary focus of the assessments were IDPs and IDP returnees who account for the majority of the households interviewed in these assessments. Nonetheless, as UNHCR takes a whole-of-community approach in its assistance programme, vulnerable host community members were also assessed, alongside a small number of refugee returnees, asylum seekers and refugees, as well as deported and spontaneous returnees under an area-based approach. The Rapid Household Assessments (RHAF) covers all 34 provinces.

    最高第 221:47 达到21:47 首次观测上榜23:07 观测离榜累计约1小时20分