“This report is based on data gathered by a PIREP team consisting of John Korinihona, Morgan Wairiu, John Vos and Peter Johnston”.
“This report is based on data gathered by a PIREP team consisting of Tomas Tafia and Herbert Wade”.
“This report is based on data gathered by a PIREP team consisting of Tevita Tukunga, Lia Latu Maka, Peter Johnston and Herbert Wade”.
“This report is based on data gathered by a PIREP team consisting of Isaia Taape, Kapuafe Lifuka, Timaio Auega and Herbert Wade with input and assistance by Mr. James Conway”.
“This report is based on data gathered by a PIREP team consisting of Ruben Bakeo, Anare Matakiviti, John Vos and Peter Johnston”.
A strong evidence base is needed to understand the socioeconomic implications of the COVID-19 pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are designed to collect data on the evolving implications of the COVID-19 pandemic over several years. This data is the second of at least five planned rounds of mobile surveys.
A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the third of the five planned rounds of mobile surveys.
A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fourth of the five planned rounds of mobile surveys.
The phone survey was conducted to gather data on the socio-economic impacts of COVID-19 crisis, as well as the Hunga Tonga-Hunga Ha'apai volcanic eruption and tsunami in Tonga. Round 1 interviewed 2,527 households both in urban and rural regions of the country from April 12, 2022, to May 7, 2022. Survey topics included employment and income, food security, coping strategies, access to health services, asset ownership, and preparedness.
A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Papua New Guinea. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fourth round in a series of mobile phone surveys.
The objective of the third round of the World Bank high frequency mobile phone survey was to measure the continued socioeconomic impacts of COVID-19 in Papua New Guinea, including on livelihoods, food security, and public safety and security. The survey consisted of the following modules: Basic Information, Vaccine, Employment and Income, Food Access and Food Security, Health, Public Trust and Security, and Assets and Wellbeing. The questions on employment and income were asked to the respondent and to the household head if different from the respondent.
A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Papua New Guinea. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fifth round in a series of mobile phone surveys.
Under the Legal Notice No. 41 of 1979: Declaration of Archipelagic Baselines (The Delimitation of Marine Waters Act (No. 32 of 1978)), the Declaration of Archipelagic Baselines for the Solomon Islands are defined in geographical co-ordinates UTM WGS 84 system.
https://www.un.org/depts/los/LEGISLATIONANDTREATIES/PDFFILES/SLB_1979_N…
The main component of that survey is the expenditure of households. All expenditures are captured and show their amount and sources, disaggregated by a detailled classification containing around 1,750 commodities that is aligned with the international COICOP (Classification Of Individual Consumption Of Purpose) classification. This classification will allow to update the Consumer Price Index of New Caledonia.All types of expenditure are covered, including expenditure that is not related to consumption of goods or services: taxes, house work, cash gifts.
The phone survey was conducted to gather data on the socio-economic impacts of COVID-19 crisis, as well as the Hunga Tonga-Hunga Ha'apai volcanic eruption and tsunami in Tonga. Round 2 interviewed 2,503 households both in urban and rural regions of the country from July 2022 to August 2022. Survey topics included employment and income, food security, coping strategies, access to health services, asset ownership, and preparedness.
PURSE SEINE fishery data compiled by the Western and Central Pacific Fisheries Commission (WCPFC). The WCPFC have compiled a public domain version of aggregated catch and effort data using operational, aggregate and annual catch estimates data provided by Commission Members (CCMs) and Cooperating Non-members (CNMs).
Data cover 1950 to 2021 and are grouped by 1°x1° latitude/longitude grids, year and month.
The data are described here:
https://www.wcpfc.int/public-domain
Tuna biomass (skipjack, albacore, yellowfin and bigeye tuna) variability over the period 1979-2010 simulated by the Spatial Ecosystem and Dynamics Model (SEAPODYM, http://www.seapodym.eu/ and https://github.com/PacificCommunity/seapodym-codebase).
Here, we provide the unfished biomass dynamics (i.e. without considering any fishing). For each of the four tuna species we provide both the total biomass (adults + juveniles) and the larvae abundance.
Projection of tuna biomass (skipjack, albacore, yellowfin and bigeye tuna) in response to climate change simulated by the Spatial Ecosystem and Population Dynamics Model (SEAPODYM, http://www.seapodym.eu/ and https://github.com/PacificCommunity/seapodym-codebase).
1/36° model hindcast of the Solomon sea developed as part of the SOSMOD project (SOlomon Sea high résolution MODeling).
Simulations performed by the MEOM group using NEMO (Nucleus for European Modelling of the Ocean) for the period 1989-2007.
Here we provide temperature and current velocity every 5 days.
The model configuration and results are described in: