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Dataset results
29 results for “Jakarta”
Data for the Manuscripts of "Variability of Jakarta Rain-Rate Characteristics Associated with the Madden-Julian Oscillation and Topography" and "Subdaily Rain-Rate Properties in Western Java Analyzed Using C-Band Doppler Radar"
<p>This archive consists of the post-processed data of C-Band Doppler Radar (CDR) over Jakarta and surrounding regions for the studies of "Variability of Jakarta Rain-Rate Characteristics Associated with the Madden-Julian Oscillation and Topography" and "Subdaily Rain-Rate Properties in Western Java Analyzed Using C-Band Doppler Radar".</p> <p>The dataset is a gridded rainfall data derived from the local relationship of Z (reflectivity) from the CDR and rainfall (R) from stations. The derived rainfall data are in daily estimates from 2009 to 2012 with the format in NetCDF files.</p> <p>The CDR data were obtained from the projects “Hydrometeorological Array for Intraseasonal Variation-Monsoon Automonitoring (HARIMAU)” (JFY 2005-2009), and the Science Technology Research Partnership for Sustainable Development (SATREPS) “Maritime Continent Center of Excellence (MCCOE) (JFY 2009-2013) of the Japan Science and Technology Agency (JST)/Japan International Cooperation Agency(JICA) under a collaboration of the Agency for the Assessment and Application of Technology (BPPT)-Indonesia and Japan Agency for Marine-earth Science and Technology (JAMSTEC)-Japan.</p>
Time Series Measurement Data of Office Building in Jakarta Indonesia - Incoming Transformer of 20 kV | 0.4 kV
<p>Time Series Measurement Data of Office Buildings in Jakarta Indonesia - Incoming Three Transformers of 2 MVA rating (20 kV | 0.4 kV)<br> The data was taken by Standardized Power Quality Analyzer within minutes span data during eight days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included from with it i.e., calculated data for active power losses, Unbalanced Voltage per phase, efficiency etc</p>
Building - At Tin Mosque East Jakarta
At-Tin Mosque is one of the two magnificent mosques in the TMII area . Another mosque is the Diponegoro Mosque . The mosque, which began construction in April 1997 , occupies a land area of 70,000 square meters with a capacity of around 9,000 people inside the mosque and 1,850 people in closed corridors and plazas. The construction of the At-Tin Mosque was completed in 1999 and opened publicly on November 26 , 1999 Photo By Willy Adrian Drone Parrot Anafi http://facebook.com/willy.adrian.100/ Source: Objaverse 1.0 / Sketchfab
Data Set of Publication - Outcome of Scleral Rupture Primary Management Without Vitrectomy Jakarta Eye Trauma Study
<p>This dataset was collected for research purposes. The dataset was about the scleral rupture we found in our teritories</p>
Monas (Monumen Nasional, Jakarta, Indonesia)
My second voxel art creation. This time I created the Monas (Monumen Nasional) in Jakarta, Indonesia. (The violet parts are for emission in MagicaVoxel's render mode.) == BadToxic Discord Server == https://discord.gg/8QMCm2d == Used Software == MagicaVoxel https://ephtracy.github.io/ Source: Objaverse 1.0 / Sketchfab
Furniture Preferences and Tacit Knowledge at Rumah Susun, Jakarta
<p><span>This research was conducted in 2024 at the Kemayoran Flats, Jakarta, focusing on a family consisting of a mother, father, child, and grandchild (toddler). In-depth observation was carried out to understand how this family adapts and lives in vertical dwellings with limited space and facilities.</span></p> <p><span>This research provides an overview of family life in Kemayoran Flats which is full of customization, creativity, and local wisdom. Understanding their lives can be an inspiration for more humane, environmentally friendly, and sustainable residential designs, as well as to strengthen people's sense of community and social resilience.</span></p>
Population in Jakarta 2022 (Source form: Central Bureau of Statistics)
<p>The population pyramid graph above illustrates the population distribution in Jakarta in 2022. The 0-4 age group has a larger population compared to several age groups above it. The 30-34 age group has a slightly larger male population (388,746) than the female population (431,768). For the 65+ age group, the male and female populations are relatively balanced with slightly more females.</p> <p>This population pyramid shows a young population structure, with a wider base in the younger age group (0-19 years) and then starting to narrow in the older age group. This is an indication that Jakarta still has a fairly young population with the potential for a large population in the future.</p>
Analysis of Determining the Location of Public Electric Battery Exchange Stations (SPBKLU) using The Buffer Method in The Geographical Information System (GIS) in The Central Jakarta Region (Case Study of PT. XYZ)
<p>Figure 1. The Existing Station Map in the Central Jakarta Area</p> <p><strong><span>Figure 2.</span></strong><span> The Suitability of Battery Replacement Station Location and Closeness to Alfamart Supermarket </span></p> <p><strong><span>Figure 3.</span></strong><span> The Suitability of Battery Replacement Station Location and Closeness to District Office </span></p> <p><strong><span>Figure 4.</span></strong><span> The Suitability of Battery Replacement Station Location in the Central Jakarta Area</span></p> <p><span>Data (The Variable Weight & The Variable Criteria)</span></p>
Jakarta Microclimatic Dataset
<p>This data set was acquired using our sensory Device OTTO in Jakarta Indonesia. The dataset is geotagged and represents environmental recordings during an hour of recording in different locations of Jakarta. The data has 36 Dimensions ranging from Dust, Bhutan, Propane, UV; Full Light Spectrum, Visible Light spectrum, Infrared, Lux, CO as ppm, NO2 AS ppm; C2H5OH as ppm, VOC as ppm, wind direction, wind speed as mph, wind gust as mph, wind gust direction, wind speed 2 mins average as mph, wind direction 2 mins average, wind gust speed 10 min average, wind gust direction 10 min average, humidity, temperature in Fahrenheit, rain in inches, daily rain in inches, pressure, light level, O2 concentration, particulate matter 10, particulate matter 25 , particulate matter 100, infrared, full licht spectrum, full infrared spectrum, full visible light</p>
Ectoparasites in rats and shrews data related to leptospirosis in West Jakarta
Open the record for dataset details and reuse information.
Data from: Special care dentistry perception among dentists in Jakarta: an online survey study
Open the record for dataset details and reuse information.
Monumen Nasional - Jakarta
The National Monument in Jakarta, Indonesia. Source: Objaverse 1.0 / Sketchfab
Monas - Jakarta, Indonesia
Monas - Jakarta, Indonesia Source: Objaverse 1.0 / Sketchfab
Record-Breaking Precipitation in Indonesia's Capital Jakarta in January 2020 Linked to the Northerly Surge, Equatorial Waves, and MJO
<p>Collection of the dataset used in "Record-Breaking Precipitation in Indonesia's capital Jakarta in January 2020 Linked to the Northerly Surge, Equatorial Waves, and MJO" research letter [<a href="https://doi.org/10.1029/2022GL101513">https://doi.org/10.1029/2022GL101513</a>]. The file consisted of rain gauges, radar reflectivity, atmospheric reanalysis model, blackbody temperature of clouds, bandpass filtered data, HYSPLIT backward trajectory data, and other supplement data.</p>
Additional data for "Record-Breaking Precipitation in Indonesia's Capital of Jakarta in Early January 2020 Linked to the Northerly Surge, Equatorial Waves, and MJO" containing Cross Equatorial Northerly Surge record data
<p>Data containing the record of the daily amplitude of active Cross Equatorial Northerly Surge events on December, January, and February of 1979 to 2021. This amplitude was calculated based on the ERA5 reanalysis dataset. The rules for recording an event with the next event separated by a minimum of 1 day interval of amplitude below the threeshold.</p>
Jakarta Acute Coronary Syndrome Registry
ClinicalTrials.gov study NCT02319473. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Dietary Patterns, Inflammation, Zinc Status, and Body Composition in Multi-Ethnic Women of Reproductive Age in Jakarta
ClinicalTrials.gov study NCT07170904. IPD Sharing: NO. Countries: 1. Publications: 6.
Video-based Psychotherapy for COVID-19 Patients in Isolation Ward in Jakarta
ClinicalTrials.gov study NCT04841681. IPD Sharing: YES. Countries: 1. Publications: 15.
Long-term outcomes and prognostic factors in kidney transplant recipients in Jakarta, Indonesia: a cohort study
<p><strong>Objectives </strong>To determine the long-term survival rates and prognostic factors in kidney transplant (KT) recipients in Jakarta, Indonesia.</p> <p><strong>Design</strong> Retrospective cohort study.</p> <p><strong>Setting</strong> A KT centre in Jakarta.</p> <p><strong>Participants</strong> We enrolled 754 consecutive adult recipients who underwent KT between 2010 and 2020.</p> <p><strong>Main outcome measures </strong>Rates of 10-year patient, all-cause and death-censored graft survival and their prognostic factors in KT recipients.</p> <p><strong>Results </strong>The 10-year patient survival, all-cause survival and death-censored graft survival rates of KT recipients were 74%, 68% and 81%, respectively. The prognostic factors for poor patient survival were a pretransplant dialysis duration>24 months (HR 1.64, 95% CI, 1.08 to 2.49; p=0.02), cardiovascular disease (HR 1.59, 95% CI, 1.11 to 2.31; p=0.01), delayed graft function (DGF) (HR 4.94, 95% CI, 2.76 to 8.82; p<0.001), post-transplant infection (HR 2.63, 95% CI, 1.56 to 4.43; p<0.001) and acute rejection (HR 2.49, 95% CI, 1.20 to 5.15; p=0.01). All-cause graft survival was prognosticated by a pretransplant dialysis duration>24 months (HR 1.74, 95% CI, 1.15 to 2.47; p=0.007), cardiovascular disease (HR 1.65, 95% CI, 1.18 to 2.33; p=0.004), DGF (HR 5.39, 95% CI, 3.13 to 9.28; p<0.001), post-transplant infection (HR 2.46, 95% CI, 1.05 to 4.02; p<0.001) and acute rejection (HR 4.18, 95% CI, 2.23 to 7.84; p<0.001). Factors associated with poor death-censored graft survival were a pretransplant dialysis duration >24 months (HR 2.19, 95% CI, 1.32 to 3.63; p=0.002), cardiovascular disease (HR 1.65, 95% CI, 1.02 to 2.68; p=0.04) and acute rejection (HR 5.52, 95% CI, 2.80 to 10.83; p<0.001).</p> <p><strong>Conclusions </strong>The survival rates of KT recipients are prognosticated by pretransplant dialysis duration, cardiovascular disease, DGF, post-transplant infection and acute rejection. Stricter eligibility criteria for recipients, more sensitive cross-match testing methods and better infection management strategies may be beneficial for improving the survival rates.</p>
Supplementary material 2 from: Irawan D, Priyambodho A, Rachmi C, Wibowo D, Fahmi A (2016) Bibliometric study to assist research topic selection: a case from research design on Jakarta's groundwater (part 1). Research Ideas and Outcomes 2: e9841. https://doi.org/10.3897/rio.2.e9841
Word cloud 1987-2015
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