GRACE/GRACE-FO science data archiving, distribution and user support at PO.DAAC

2020 ◽  
Author(s):  
Wen-Hao Li ◽  
Christopher Finch
Keyword(s):  
Value Added ◽  
Quality Data ◽  
Primary Data ◽  
Web Portal ◽  
Science Data ◽  
Equivalent Thickness ◽  
Data Accessibility ◽  
Data Archiving ◽  
A Value ◽  
Global Mean Sea Level

<p>The Physical Oceanography Distributed Active Archive Center (PO.DAAC) is the primary data archiving center for the GRACE/GRACE-FO mission products. During FY20, nearly 20 new and updated GRACE/GRACE-FO (Level-3,4) datasets have been archived and disseminated through PO.DAAC. In addition, a series of GRACE/GRACE-FO derived (Level-4) products supported by the MEaSUREs HOMAGE Project have been or soon will be released, including the published Global Mean Sea Level (GMSL) dataset. Easing the barriers of science data discoverability and usability, PO.DAAC has devoted major efforts to increase the data accessibility by integrating all its available tools/services, such the PO.DAAC Drive, OPeNDAP, THREDDS, LAS and Web Services. As a value-added service, GRACE/GRACE-FO liquid water equivalent thickness from the JPL-produced Mascon CRI monthly grids RL06 v2 can be dynamically visualized on a global map using the PO.DAAC State of the Oceans (SOTO) tool.  The availability of new and reprocessed datasets is promoted through a variety of media, including PO.DAAC’s Web Portal, email, social media (i.e., Twitter, Facebook), data animations on Youtube, and the PO.DAAC Forum. Recently, PO.DAAC has rolled out a refreshed web portal interface to provide more intuitive user experience and efficient browsing functionality to help simplify the data discovery and access experience. Some new features are also added to enrich dataset information, such as dataset citations, sample read software and data recipes on PO.DAAC github, and an updated Forum. The goal of the PO.DAAC is to provide the GRACE/GRACE-FO community access to high quality data with minimal user effort in discovering, accessing, understanding and utilizing the data.</p>

A Novel Approach to Design a Scalable Air Quality Monitoring System

2012 ◽  
Vol 7 (3) ◽  
pp. 37-54
Author(s):  
Ivaylo Atanasov ◽  
Ventsislav Trifonov ◽  
Kamelia Nikolova ◽  
Evelina Pencheva
Keyword(s):  
Air Quality ◽  
Value Added ◽  
Quality Data ◽  
Telemetry System ◽  
Application Layer ◽  
A Value ◽  
Novel Approach ◽  
Co2 Monitoring ◽  
Carbon Dioxide Co2 ◽  
Internet Of Things Technology

The research presents a novel approach to carbon dioxide (CO2) emissions monitoring and access to local air quality data. The approach applies the advanced Internet of things technology to design a mobile telemetry system for CO2 data collection and processing in order to be presented as a value-added application to mobile users. Based on requirements analysis, functional architecture for mobile telemetry system is proposed. The design aspects of mobile telemetry application layer protocol are studied. An approach to formal verification of protocol behavior is suggested. An information model that captures the basic concepts related to CO2 monitoring is proposed. Examples of ubiquitous access to CO2 measurements are described.

scholarly journals Strategi Pemberdayaan Masyarakat dengan Metode Sustainable Livelihood Approach (Studi Kasus Kampung Waramui Distrik Sidey Kabupaten Manokwari

2018 ◽  
Vol 1 (1) ◽  
pp. 46-60
Author(s):  
Dedi Riantoro ◽  
Maria M. Semet
Keyword(s):  
Social Relations ◽  
Rural Areas ◽  
Qualitative Method ◽  
Value Added ◽  
Secondary Data ◽  
Primary Data ◽  
Sustainable Livelihood ◽  
A Value ◽  
Sustainable Livelihood Approach ◽  
Collection Methods

Rural areas are places where communities are very close to natural resources and the environment because the villagers suspends their lives by relying on natural and environmental assets such as land, forests, springs and other products. The aim of this research is to identify the existing assets in Waramui village, access, vulnerability, and to analyze the empowerment strategy of Waramui villagers by using SLA (Sustainable Livelihood Approach) approach in Waramui Village, Sidey District, Manokwari. The research method used is descriptive qualitative method that is  xplorative. Data collection methods used are primary data and secondary data then the data is analyzed using simple frequency tabulation. In the research results can be known assets, social relations, vulnerability, and institutions in Waramui village showed almost 72.09% of people depend on nature. The SLA Strategy (Sustainable Liveliihood approach) that can be done in Waramui village is by utilizing the natural products by converting the raw product into a value-added product and the cooperation between the community, the chief of the tribe and the head of village to utilize the assets, social relations, institution in Waramui village.

scholarly journals ANALISIS NILAI TAMBAH PISANG “GOROHO” (Musa acuminafe, sp) (STUDI KASUS: SABUAH UNGU PANTAI MALALAYANG KOTA MANADO)

2017 ◽  
Vol 13 (2A) ◽  
pp. 261
Author(s):  
Velly Maria Karamoy ◽  
Agnes E. Loho ◽  
Tommy F. Lolowang
Keyword(s):  
Value Added ◽  
Added Value ◽  
Primary Data ◽  
Interview Technique ◽  
A Value ◽  
Banana Flour

This study aims to find out how much added value goroho bananas. This research was carried out for 3 months in Sabuah Purple Malalayang Beach at Manado City. This research uses primary data with direct interview technique to the manager. The results showed that from the four forms of processed banana goroho goroho banana flour sticks, regular sticks, chips, and split four; The most value added in the form of processed banana goroho flour sticks with a value of IDR 2816.78 compared with other processed forms such as common sticks IDR 1567,97, chips IDR 1091,78, and split four IDR 1176,78.

scholarly journals EFFECT OF STRATEGIC ALLIANCE AND PARTNERSHIP ON THE SURVIVAL OF MSMEs POST COVID-19 PANDEMIC

2021 ◽  
Vol 15 (2) ◽  
pp. 126-137
Author(s):  
Abideen A. Tijani ◽  
Reuben O. Osagie ◽  
Kayode B. Afolabi
Keyword(s):  
Strategic Alliance ◽  
Response Rate ◽  
Correlation Coefficients ◽  
Value Added ◽  
Descriptive Statistics ◽  
Primary Data ◽  
P Value ◽  
Reliability Test ◽  
Descriptive Research ◽  
A Value

Research background: This study was conducted as a result of the challenges that confront MSMEs globally, especially in Nigeria, due to the lockdown occasioned by COVID-19. A descriptive research design (quantitative analysis) was adopted, while primary data were employed for the study. Purpose of the article: The population for the study was 587 MSMEs from the Ojo local government area of Lagos State, Nigeria, with a sample size of 234 derived using the Taro Yamane (1967) techniques. A total of 240 questionnaires were distributed, allowing room for errors, and 228 of them were returned usable for the study, constituting a 95% response rate for the study. Methods: Content validity was adopted. A reliability test was conducted using Cronbach’s Alpha, which returned a value of 0.869, indicating internal consistency of the research instrument. Descriptive statistics (means and simple percentages) were used to analyse the data, alongside regression and Pearson’s correlation coefficients. The findings revealed that a strategic alliance and partnership could positively affect MSMES survival post-COVID-19 in Nigeria, with a p-value of 0.000<0.05, and that its impact on the performance of MSMEs in the Nigerian economy post-Covid-19 was statistically significant and positive, with a correlation coefficient of 0.824 (82.4%) and a p-value of 0.000<0.05. Findings & Value added: The results and findings suggest that a strategic alliance and partnership is indeed a veritable tool for MSMEs’ survival post-COVID-19 in Nigeria.

scholarly journals ANALISIS PROKSIMAT KEONG MAS DARI POKLAHSAR MAJU JAYA, TEGAL

MARLIN ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 7
Author(s):  
Widya Pangestika ◽  
Satriya Abrian ◽  
Nita Nita ◽  
Sunan Wijaya
Keyword(s):  
Raw Materials ◽  
Descriptive Analysis ◽  
Value Added ◽  
Secondary Data ◽  
Proximate Analysis ◽  
Raw Material ◽  
Primary Data ◽  
A Value ◽  
Constituent Component ◽  
Fishery Products

Poklahsar Maju Jaya yang berlokasi di Tegal memproduksi banyak produk olahan perikanan. Salah satu produk olahan perikanan yang menjadi andalan pada Poklahsar ini adalah Keong Mas. Keong Mas termasuk ke dalam value added product yang diolah dengan menggunakan bahan baku daging ikan giling. Penelitian ini bertujuan untuk mengetahui proses pengolahan Keong Mas sebagai value added product, dan mengetahui nutrisi produk Keong Mas melalui analisis proksimat pangan. Terdapat dua jenis data dalam penelitian ini, antara lain: data primer dan data sekunder. Data primer diperoleh melalui pengamatan langsung, sementara data sekunder diperoleh melalui hasil analisis proksimat yang dilakukan oleh Poklahsar Maju Jaya. Metode analisis yang digunakan dalam penelitian ini adalah analisis deskriptif. Jenis ikan yang digunakan oleh Poklahsar Maju Jaya untuk membuat produk olahan berupa Keong Mas adalah Ikan Swangi (Priacanthus tayenus). Jenis ikan ini banyak tersedia di perairan Tegal sehingga memudahkan untuk pengolahan yang berkelanjutan. Proses pengolahan Keong Mas terdiri dari beberapa tahapan, antara lain: penerimaan bahan baku, pencucian, thawing, pencampuran dan pengadonan, pembentukan, pemasakan, pendinginan, sortasi, pengemasan dan pelabelan, penyimpanan, dan pemuatan. Berdasarkan hasil analisis proksimat, diketahui bahwa kadar air merupakan komponen penyusun yang paling tinggi di dalam produk Keong Mas, yaitu sebesar 55.28%, dan disusul dengan kadar karbohidrat total adalah 34.90%. Apabila dibandingkan dengan SNI 7656:2013, maka gizi dalam produk Keong Mas memenuhi standar yang telah ditentukan.Poklahsar Maju Jaya, located in Tegal, produces many processed fishery products. One of the featured processed fishery products in Poklahsar is Keong Mas. Keong Mas is included in the value added product which is processed by using raw material for ground fish meat. This study aims to determine the processing of Keong Mas as a value added product, knowing the nutrition of Keong Mas through proximate analysis. There are two types of data in this study, including primary data and secondary data. Primary data were obtained through direct observation, while secondary data were obtained through proximate analysis results conducted by Poklahsar Maju Jaya. The analytical method used in this research is descriptive analysis. The type of fish used by Poklahsar Maju Jaya to make Keong Mas is Swangi (Priacanthus tayenus) fish. This type of fish is widely available in Tegal waters making it easier for sustainable processing. Processing of Keong Mas consists of several stages, including: receipt of raw materials, washing, thawing, mixing and mixing, forming, cooking, cooling, sorting, packaging and labeling, storage, and loading. Based on the results of proximate analysis, it was known that water content was the highest constituent component in Keong Mas, which was equal to 55.28%, and followed by carbohydrate level, which was equal to 34.90%. When being compared to SNI 7656:2013, the nutrition in Keong Mas met the specified standards.

Profitability and Efficiency Analyses of Small Scale Rice processing units in Ngoketunjia Division, North West Region, Cameroon.

2014 ◽  
Vol 3 (2) ◽  
pp. 177-182
Author(s):  
Bime M.J ◽  
Fon D.E ◽  
Ngalim S.B ◽  
Ongla J
Keyword(s):  
Value Added ◽  
Primary Data ◽  
Small Scale ◽  
Fixed Cost ◽  
Cost Ratio ◽  
Parboiled Rice ◽  
North West ◽  
Benefit Cost Ratio ◽  
Benefit Cost ◽  
Rice Processing

Rice production and processing over the years has been on an increase with more small holders entering the business. This study on profitability of processing and marketing of small scale rice processors had as objective to analyse the profitability levels of rice processing and marketing by small scale processors, determine the value added to the commodity at each stage  and also identify the constraints faced by these processors. The study used primary data collected using well-structured questionnaire from millers only, miller traders for white/parboiled rice through a multistage sampling technique. Results showed that the net processing income (3,151,201), value added (8,147,456) and efficiency (138) for miller-traders of white rice was highest, followed by miller-traders for parboiled rice and lastly millers only. Results further showed that millers only had Benefit/cost ratio of 0.4 indicating that milling only is not profitable due to small quantities milled, and high fixed cost. Miller-traders for parboiled rice had a benefit/cost ratio of 2.3 implying that their venture is most profitable. Based on the results, it was recommended that millers only should purchase large quantities of paddy to enable them reduce the overhead cost. Also the services of parboilers should reflect in the sales price of parboiled rice so that the parboiling services can be paid for.

Novel CO2-Thermic Oxidation Process with Mg-Based Intermetallic Compounds and Its Application to Energy Storage Materials

2018 ◽  
Author(s):  
Younghwan Cha ◽  
Jung-In Lee ◽  
Panpan Dong ◽  
Xiahui Zhang ◽  
Min-Kyu Song
Keyword(s):  
Intermetallic Compounds ◽  
Oxidation Process ◽  
Value Added ◽  
Energy Storage Materials ◽  
Reaction Products ◽  
Materials Synthesis ◽  
Energy Materials ◽  
A Value ◽  
Carbon Coated ◽  
Novel Strategy

A novel strategy for the oxidation of Mg-based intermetallic compounds using CO<sub>2</sub> as an oxidizing agent was realized via simple thermal treatment, called ‘CO2-thermic Oxidation Process (CO-OP)’. Furthermore, as a value-added application, electrochemical properties of one of the reaction products (carbon-coated macroporous silicon) was evaluated. Considering the facile tunability of the chemical/physical properties of Mg-based intermetallics, we believe that this route can provide a simple and versatile platform for functional energy materials synthesis as well as CO<sub>2</sub> chemical utilization in an environment-friendly and sustainable way.

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