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503 results for “Indonesian”
Petrol Bottle Indonesian
# **Game Asset Petrol Bottle** Many vehicle owners still like to buy retail gasoline on the roadside. Usually this is done because of an emergency, and it is far from a public gas station (SPBU). Create : Blender & Substance Painter Support Me By Donation : https://paypal.me/putrabxmp?country.x=ID&locale.x=id_ID Source: Objaverse 1.0 / Sketchfab
Indonesian
[Indonesia](https://en.wikipedia.org/wiki/Indonesia) is a country in Southeast Asia and Oceania between the Indian and Pacific oceans. It consists of over 17,000 islands, including Sumatra, Sulawesi, Java, and parts of Borneo and New Guinea. Indonesia is the world's largest island country and the 14th-largest country by area, at 1,904,569 square kilometres (735,358 square miles). With about 270 million people, Indonesia is the world's fourth-most populous country and the most populous Muslim-majority country. Java, the world's most populous island, is home to more than half of the country's population. Source: Objaverse 1.0 / Sketchfab
Fig. 2 in Molecular phylogeny of Indonesian Lymantria Tussock Moths (Lepidoptera: Erebidae) based on CO I gene sequences
Fig. 2. Pairwise sequences divergence based on K2P model versus Transition/Transversion (Ts/Tv).
Fig. 2 in Molecular phylogeny of Indonesian Zeuzera (Lepidoptera: Cossidae) wood borer moths based on CO I gene sequence
Fig. 2. Scatter plots of K2P model distance for Transition (Ts) versus Transversion (Tv).
Updated Smoke Exposure Estimate for Indonesian Peatland Fires using a Network of Low-cost PM2.5 sensors and a regional air quality model - Model Simulation Data
<p>WRF-Chem simulated daily mean PM2.5 concentrations for:</p> <p>1) with fires </p> <p>2) without fires</p> <p>simulations. </p>
Updated Smoke Exposure Estimate for Indonesian Peatland Fires using a Network of Low-cost PM2.5 sensors and a regional air quality model - Purple Air data
<p>Daily mean PM2.5 concentrations collected by Purple Air sensors between 2023-08-16 and 2023-12-01. Concentrations have been RH adjusted using the Nilson et al (2022) adjustment. </p>
The influence of the Indonesian electronic government system initiative on improving EGDI
<p>This dataset contains the EGDI values of Indonesia in 2014-2022 and the 2023 Indonesian electronic government system index (SPBE). This data represents the influence of the Indonesian government's initiatives in ICT governance on improving EGDI.</p>
Indonesian Foreign Policy towards Iran: Shia Hate speech on X social media with LSTM and SVM Analysis
<p>This table and figure are integral components of research on Shia hate speech on social media X, a critical issue in the context of identity politics in Indonesia and globally. This study is of paramount importance as it delves into the identity politics often exploited by politicians in Indonesia and around the world. The Shia community's support for President Jokowi in the first and second stages of the Election was met with hate speech from the opposition group. The study further investigates whether this Shia hate speech is linked to the government's policy towards Iran, a country known for its Shia ideology. The study is presented in three parts:<br>1. Table detailing the sentiment analysis process and results, which were conducted using advanced machine learning techniques such as SVM and LSTM. This approach significantly enhances the accuracy and reliability of the study's findings.<br>2. Figure in the form of a graph related to the study results and the results of comments from the Indonesian public about Shia.<br>3. This research is backed by a comprehensive dataset comprising public comments from Indonesia on Shia. This extensive data collection ensures the study's conclusions are thorough and reliable.</p> <p>4. Processing of machine learning</p>
Dataset - Indonesian People's Readiness for Blockchain Adoption in E-Commerce - 2024
<p>The dataset on Indonesian blockchain adoption was collected through a questionnaire conducted over three months, from April to June 2024, gathering 422 responses. The survey had seven main sections, each designed to collect important data for the study.<br><br>The first section introduced the study’s purpose and asked demographic questions. Respondents were also asked about their experience with e-commerce and blockchain technology. The second section explored how ready Indonesians are to adopt blockchain infrastructure for e-commerce retail transactions.<br><br>The final sections focused on key study variables, including Transaction Security [BTS], Transparency [BT], Cost Efficiency [BCE], Transaction Speed [BS], Customer Trust [CT], and E-commerce Adoption [EA]. These variables were used to assess the overall readiness of Indonesians for integrating blockchain into the e-commerce sector.<br><br>This dataset offers valuable insights into the potential challenges and advantages of adopting blockchain technology in Indonesia's e-commerce transactions.</p>
Promoting Indonesian Batik as a Symbol of National Identity: A Bibliometric Approach
Open the record for dataset details and reuse information.
Image 6 in First record of the Borneo Earless Monitor Lanthanotus borneensis (Steindachner, 1877) (Reptilia: Lanthanotidae) in West Kalimantan (Indonesian Borneo)
Image 6. Localities surveyed in Landak District of West Kalimantan overlaid with 2007 forest cover.
Image 2 in First record of the Borneo Earless Monitor Lanthanotus borneensis (Steindachner, 1877) (Reptilia: Lanthanotidae) in West Kalimantan (Indonesian Borneo)
Image 2. Image of rocky, forest habitat near the shallow stream bed where the specimen was found.
Indonesian DBnary archive in original Lemon format
<p>The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary.</p> <p>This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Indonesian language edition, ranging from 2nd June 2015 to 1st July 2017.</p> <p>After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.</p>
Rice productivity along waterlogging gradient in Indonesian peatlands (EPIC-IIASA model outputs)
<p>[1] The spatially explicit modelled water table depth data (WTBL, in m) were produced for a total of ten waterlogging intensity scenarios (WetScen) in Indonesian peatlands using the Environmental Policy Integrated Climate-based modelling framework EPIC-IIASA. The WetScen scenarios 1 to 10 represent a gradient from water-logged to deeply drained soils. The dataset provides monthly WTBL series simulated between 2001 and 2010 at 0.25×0.25 arc-deg spatial resolution across all Indonesia peatland soils (<a href="https://doi.org/10.5281/zenodo.6997968">https://doi.org/10.5281/zenodo.6997968</a>). This data brings harmonized groundwater regime data in large-scale agricultural modelling to allow assessing the impact of peatland rewetting on rice productivity in Indonesia. These data were prepared as a part of the RESTORE+ project, separately for two rice growing seasons (seasons 1 and 2) and rice double-cropping on mineral (miner) and shallow peat soils (peat) with a depth of less than 1 m.</p> <p>[2] The spatially explicit datasets of annual rice yield (YLDG in tDM/ha) and monthly root zone soil water content (RZSW, in mm) were simulated at 0.25×0.25° spatial resolution following the waterlogging scenarios described above. The datasets explore (a) two nutrient management, namely the good agricultural practice (GAP) and management that was back-calibrated against statistically reported regional yields (BackCalc), (b) two rice seasons (season 1 and 2) plus a double-cropping system, and (c) ten waterlogging scenarios (WetScen) in all peatland grids with soils suitable for rice production, i.e., all mineral soils (miner) and soils with the shallow peat material (peat). The simulations were carried out from 2001 to 2010, consistently with the scenario data and modelling framework described above. This database was created as a part of the RESTORE+ project. The details are described in a separate document (see <a href="https://doi.org/10.5281/zenodo.7355835">https://doi.org/10.5281/zenodo.7355835</a>).</p>
Dataset for the Indonesian Newly Validated Collaborative Practice Assessment Tool
<p>The dataset is used for the analysis of an article titled: A psychometric evaluation of the Indonesian version of the Collaborative Practice Assessment Tool (CPAT) for assessing interprofessional collaborative practice in health practitioners and students.</p>
Dataset for the Indonesian Interprofessional Socialisation and Valuing Scale (ISVS)-19
<p>The dataset is used for the analysis of an article titled: Psychometric evaluation of the culturally adapted Interprofessional Socialisation and Valuing Scale (ISVS)-19 for health practitioners and students in Indonesia. </p>
Analysis on CD8+/FOXP3+Ratio and Its Association with Primary Endocrine Therapy Resistance in Indonesian Luminal B Her-2 Negative BC Patients
<p>Analysis on CD8+/FOXP3+Ratio and Its Association with Primary Endocrine Therapy Resistance in Indonesian Luminal B Her-2 Negative BC Patients</p>
R Notebook and Dataset for "Usage-based perspective on argument realisation: A corpus study of Indonesian BUY verbs in applicative construction with -kan" (1.0.0)
<p>This repository contains the dataset and R codes for our paper that has been published in <a href="http://www.aa.tufs.ac.jp/en/publications/nusa">NUSA</a> (<i>Linguistic studies of languages in and around Indonesia</i>) special volume (74) on "Applicatives in Austronesian Languages".</p><h4>How to cite the paper</h4><p>Rajeg, Gede Primahadi Wijaya & I Wayan Arka. 2023. Usage-based perspective on argument realisation: A corpus study of Indonesian BUY verbs in applicative construction with -<i>kan</i>. In Jocelyn Aznar, Christian Döhler & Jozina Vander Klok (eds.), <i>NUSA (special issue on "Applicatives in Austronesian Languages")</i>, vol. 74, 83–114. <a href="https://tufs.repo.nii.ac.jp/records/2000019">https://tufs.repo.nii.ac.jp/records/2000019</a>.</p><h4>Description of the repository</h4><p>The .qmd file contains the R codes used to produce the quantitative analyses in the paper, including the statistical figures. This .qmd file also interweaves some text narratives with the codes. The file is published as a webpage at: <a href="https://gederajeg.github.io/applicative-buy/">https://gederajeg.github.io/applicative-buy/</a></p><p>The raw, annotated concordance data is located in the <a href="https://github.com/gederajeg/applicative-buy/tree/main/data">data</a> directory.</p><p>The statistical figures can also be accessed individually <a href="https://github.com/gederajeg/applicative-buy/tree/main/nusa-applicative-code_files/figure-html">here</a>.</p>
NOT JUST MOTIVATION, BUT ALSO SELF-REGULATED LEARNING AFFECTED THE ACADEMIC ACHIEVEMENT OF INDONESIAN MEDICAL STUDENTS
<p>Introduction. Medical education is regarded as difficult college degrees and a stressful academic journey. This study aimed to elaborate the correlation between several internal factors that affect academic performance. Methods. 211 active students in UPN Veteran Jakarta Indonesia was filled the four questionnaires to measure SRL (self regulated learning), motivation, self-efficacy, and emotional intelligence. GPA was considered as the academic performance of students. Correlation tests were analysed by Pearson correlation test and multiple linear regression. Results. SRL scores were higher in the medium level than high or low level, on contrast, the other variables showed different trends. The variables showed significant correlation with GPA were SRL and motivation. Conclusion. This study examined several intrinsic factors affected GPA, with predominantly SRL and motivation influencing GPA more. Strengthening the self-efficacy and Emotional Intelligence might improve the academic performance of medical students</p>
Indonesian statue
This magnificent hand-carved statue was imported from Bali, Indonesia. Highly detailed, it is made of sandstone and was scanned in a few minutes directly, without any preparation with peel 3d. This digital replica can now be archived or used as a reference for restoration in the years to come; a great example of what peel 3d can do in heritage preservation. Source: Objaverse 1.0 / Sketchfab
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.