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A modest proposal for conducting future research on media portrayals of Islam and Muslims in Indonesia
<p>Recent issues on politics have been dominant in Indonesia that people are divided and become more intolerant of each other. Indonesia has the biggest Muslim population in the world and the role of Islam in Indonesian politics is significant. The current Indonesian government claim that moderate Muslims are loyal to the present political system while the opposing rivals who are often labelled’intolerant and radical Muslims’ by Indonesian mass media often disagree with the central interpretation of democracy in Indonesia. Studies on contributing factors and discourse strategies used in news and articles in secular and Islamic mass media which play a vital role in the construction of Muslim and Islamic identities in Indonesia are, therefore, recommended.</p>
Comparative analysis of health authorities spokesperson and health influencer during the COVID-19 pandemic: A case in Indonesia
<p><span><strong>Background</strong>: </span><span>Concerns over an infodemic following a surge in health misinformation circulating on social media sets out the government's priority for Indonesia. Given the urgent work on the coronavirus disease 2019 (COVID-19) response, the government collaborated with health-related spokespersons and influencers with a medical background by starting a COVID-19 public education campaign on social media. A collaborative initiative involved health spokespersons from government and non-government to clarify misinformation about COVID-19.</span></p> <p><span><strong>Methods</strong>: </span><span>The primary purpose of this research is to compare government and non-government spokespersons by examining their role in educating about the COVID-19 vaccine and health services. This study employed comparative factor analysis and non-participatory observation toward the media activity of spokespersons in Indonesia. Using a questionnaire, this study examines the dimensions of public campaigns, risk communication, health and emergency, leadership, and communication from Indonesian spokespersons. The data collection was conducted in two stages. The first stage was a pilot study that collected data from 102 respondents, the second stage collected data from 276 respondents.</span></p> <p><span><strong>Results</strong>: </span><span>Findings show that utilizing the spokesperson is important due to its capabilities of reaching diverse audiences, and improving public engagement, trustworthiness, and credibility.</span></p> <p><span><strong>Conclusions</strong>: </span><span>With the combination of health authorities spokespersons and health influencers in Indonesia, this study provides valuable insights for communication management in developing and supporting the role of health authorities from the government, non-government as well as medical sectors.</span></p>
MARINE DEBRIS ACCUMULATION ON THE BEACH OF TASIK RIA LOCAL TOURISM DESTINATION NORTH SULAWESI INDONESIA
<p><strong>Abstract. </strong>Marine debris is a global issue and a hot topic in Indonesia. This study involved collecting and quantifying various types of debris at Tasik Ria Beach. The study area is Tasik Ria Beach, a small local tourist destination in Minahasa and Manado areas, with high biodiversity and an essential source of seagrass providing significant and vital habitat for endangered species. Debris was collected on sandy beach and mud beach areas between May and August 2022. The results indicated that ceramic and glass debris was found in the greatest number followed by plastic and other debris, thin plastic, and hard plastic. The major contributing factor to the debris abundance in Tasik Ria beach was the shoreline and recreational activities which showed that the land-based sources provided major inputs of plastic pollution at the beaches. The Clean Coastal Index (CCI) calculation of Tasik Ria Beach yielded a result of 5.8 at the sandy beach whereas at the mud beach was 0.65. Thus, the sandy beach was classified as moderately clean and the mud beach was classified as very clean. </p>
Survey data of the health literacy on COVID-19 and COVID-19 vaccination in Indonesia
<p><span><strong>Introduction</strong>: </span><span>Health literacy on COVID-19 and COVID-19 vaccination is valuable during the pandemic. The objective of this study was to determine the levels of health literacy about the COVID-19 vaccine and vaccination (Vaccine and Vaccination literacy—VL) in the Indonesian adult general population, assessing the perceptions of the respondents/interviewees about current adult immunization and beliefs about vaccination in general, and analyzing correlations of these variables with the VL levels.</span><span> </span></p> <p><span><strong>Methods</strong>: </span><span>A rapid survey was administered via the web. Data were analyzed using descriptive and inferential stats; the internal consistency of the VL scales was assessed through Cronbach's alpha coefficient, and a Principal Component Analysis (PCA) was conducted to investigate how the questions of the functional and interactive-critical VL scales were related to one another and whether the underlying components (factors) and each question's load on the components could be identified as anticipated. An alpha level lesser than 0.05 was considered significant.</span></p> <p><span><strong>Results</strong>: </span><span>Answers to functional- and interactive/ critical- VL questions showed good/ acceptable internal consistency (Cronbach's alpha = 0.817 and 0.699, respectively), lowest values observed were 0.806 for functional scale and 0.640 for the interactive-critical scale. PCA showed two components accounting for 52.45% of the total variability. Approximately 60% of respondents were females (n=686). Almost all respondents used the internet to seek information regarding COVID-19 and COVID-19 vaccination. Many used at least one social media actively with 74.4% of respondents sometimes believing the validity of this information.</span></p> <p><span><strong>Conclusions:</strong> </span><span>High scores were observed in both functional- and interactive/ critical-VL, and were quite balanced between genders in the prior VL and higher in females for the latter; these were also closely related to the educational level and age group. It is crucial to increase public health literacy on managing the pandemic.</span></p>
Fig. 14 in On a collection of thoracotreme crabs (Crustacea: Brachyura: Ocypodidae, Macrophthalmidae, Dotillidae) from two offshore islands of Papua, eastern Indonesia, with descriptions of two new species
Fig. 14. Habitat of Macrophthalmus manggala, new species (Photograph by Sumaryanto Bronto).
The 2021 MW 6.2 Mamuju, West Sulawesi, Indonesia Earthquake: Partial rupture of the Makassar Strait Thrust
<p>Aftershock data sets for Paper Meilano et. al., 2022, The 2021 MW 6.2 Mamuju, West Sulawesi, Indonesia Earthquake: Partial rupture of the Makassar Strait Thrust published at GJI</p>
PETA DEAGREGASI BAHAYA GEMPA INDONESIA UNTUK PERENCANAAN DAN EVALUASI INFRASTRUKTUR TAHAN GEMPA
<p>Dalam rangka mendukung dan memperlancar upaya memitigasi risiko kerusakan bangunan dan berbagai infrastruktur bangunan terhadap bahaya gempa dan melengkapi kebutuhan standar yang sudah tersedia, seperti : SNI 1726:2019 tentang “Tata cara perencanaan ketahanan gempa untuk struktur bangunan Gedung dan non Gedung” dan SNI 2833: 2016 tentang “Perencanaan jembatan terhadap gempa” dan SNI 8899:2020 tentang “Tata cara pemilihan dan modifikasi gerak tanah permukaan untuk perancangan gedung tahan gempa”, perlu dikembangkan suatu solusi generik yang dapat memenuhi kebutuhan perancangan secara lebih praktis.</p> <p>Perencanaan struktur bangunan tahan gempa yang menggunakan prosedur analisis berbasis kinerja memerlukan analisis respons riwayat waktu yang didasarkan pada rekaman gerak tanah. Untuk ini diperlukan proses deagregasi nilai rata-rata magnitudo (M) dan jarak (R) kejadian gempa yang mewakili suatu sumber gempa, nilai pasangan M dan R ini selanjutnya digunakan untuk mencari suatu pencatatan rekaman gerak tanah akibat gempa yang mempunyai kemiripan M, R dan tatanan tektoniknya. Proses deagregasi ini diperlukan dengan pertimbangan sebagai berikut:</p> <p> </p> <ol> <li> <p>Analisis besaran bahaya beban gempa masih menggunakan konsep dasar Probabilistic Seismic Hazard Analysis (PSHA) yang merupakan akumulasi kejadian gempa dan gerak tanah permukaan yang mungkin dapat terjadi di masa datang.</p> </li> <li> <p>Penerapan metode PSHA sangat bermanfaat karena berbagai informasi tentang potensi sumber gempa dan keberulangan kejadian gempa telah diintegrasikan menjadi satu dan setiap informasi memiliki kesempatan relatif untuk berpartisipasi dalam analisis.</p> </li> <li> <p>PSHA tidak memberikan informasi yang lengkap bila dikaitkan dengan pasangan “nilai magnitudo (M) dan nilai jarak (R)” mana yang dominan dan tunggal dari site ke sumber gempa yang mewakilinya.</p> </li> </ol> <ol> <li> <p>Peta deagregasi dapat memberikan gambaran nilai M dan R untuk nilai target spektrum percepatan yang dihasilkan sehingga nilai M dan R yang dominan tersebut bisa digunakan sebagai acuan untuk mencari rekaman gerak tanah yang sesuai untuk kondisi tertentu.</p> </li> <li> <p>Sumber gempa dan Ground Motion Prediction Equation (GMPE) yang digunakan untuk analisis mengacu pada Peta Sumber dan Bahaya Gempa Indonesia Tahun 2017.</p> </li> <li> <p>Petadeagregasiinidapatdigunakansebagaiinformasiuntukpemilihandata gerak tanah yang sesuai dengan periode ulang dan periode getar struktur di lokasi yang ditinjau untuk seluruh wilayah Indonesia. Pada akhirnya, diharapkan buku ini dapat dijadikan acuan dalam</p> </li> <li> <p>menentukan infrastruktur bangunan tahan gempa yang lebih jelas dan akurat karena menggunakan suatu analisis untuk mendapatkan struktur bangunan yang aman, yaitu melalui analisis riwayat waktu respons linier (Linear Response History Analysis, LRHA) dan analisis riwayat waktu non-linier (Non-Linear Response History Analysis, NLRHA).</p> </li> </ol> <p>Semoga dengan diterbitkannya buku ini dapat memberikan manfaat yang sebesar-besarnya dalam mengantisipasi adanya peningkatan bahaya gempa dan perkembangan metode analisis struktur yang andal yang dibutuhkan untuk struktur bangunan yang non-preskriptif.</p>
Net greenhouse gas balance of fibre wood plantation on peat in Indonesia
<p>Tropical peatlands cycle and store large amounts of carbon in their soil and biomass<sup>1–5</sup>. Climate and land-use change alter greenhouse gas (GHG) fluxes of tropical peatlands, but the magnitude of these changes remains highly uncertain<sup>6–19</sup>. Here we measure net ecosystem exchanges of carbon dioxide, methane and soil nitrous oxide fluxes between October 2016 and May 2022 from <em>Acacia crassicarpa </em>plantation, degraded forest and intact forest within the same peat landscape, representing land-cover change trajectories in Sumatra, Indonesia. This allows us to present a full plantation rotation GHG flux balance in fibre wood plantation on peatland. We find that the <em>Acacia </em>plantation has lower GHG emissions than the degraded site with a similar average groundwater level (GWL), despite more intensive land use. The GHG emissions from the <em>Acacia </em>plantation over a full plantation rotation (35.2 ± 4.7 tCO<sub>2</sub>-eq ha<sup>−1</sup> year<sup>−1</sup>, average ± standard deviation) were around two times higher than those from the intact forest (20.3 ± 3.7 tCO<sub>2</sub>-eq ha<sup>−1</sup> year<sup>−1</sup>), but only half of the current Intergovernmental Panel on Climate Change (IPCC) Tier 1 emission factor (EF)<sup>20</sup> for this land use. Our results can help to reduce the uncertainty in GHG emissions estimates, provide an estimate of the impact of land-use change on tropical peat and develop science-based peatland management practices as nature-based climate solutions.</p>
R-script: Deterioration of respiratory health following changes to land cover and climate in Indonesia
<p>This file contains the R-script presented in "Santika, T., Muhidin, S., Haryanto, B. et al. (2023) Deterioration of respiratory health following changes to land cover and climate in Indonesia".</p> <p>** R-script.txt</p> <p>This is the main script used to produce the results of the paper, which contains three parts:</p> <ol> <li>Analysis of the change in rainfall patterns across regencies in Sumatra, Indonesia</li> <li>Analysis of the change in fire patterns across Sumatra by soil type and land cover/degradation</li> <li>Analysis of the link between respiratory illness prevalence and environmental and socio-economic variables</li> </ol>
supplementary data for Bemelmans et al., 2023, High-resolution InSAR reveals localised pre-eruptive deformation inside the crater of Agung volcano, Indonesia.
<p>This repository contains the supplementary materials for the paper "High-resolution InSAR reveals localised pre-eruptive deformation inside the crater of Agung volcano, Indonesia." to be published in JGR: Solid Earth.</p> <p>The dataset contains files assiciated with the StaMPS time series processing. Each dataset has its own folder containing:</p> <ol> <li>*_data.csv : data file containing latitude, longitude, incidence angle, heading and LOS displacement for each acquistion (date is listed in the column name in the format yyyymmdd).</li> <li>parms.mat : parameter file used for StaMPS processing of that dataset</li> </ol> <p>The dataset also contains input and results from the GBIS modelling (/GBIS_results/). the *.inp files are the input files for each model inversion where the letter ('M','T','P','Y', or 'D') refer to the Mogi (point), McTigue (sphere), penny-shaped crack, Yang (ellipsoid), and dyke (also sill) model used for that run. folders with the same name as the *.inp file contain the inversion results (invert_*.mat), a summary table (summary_*.txt) and several figures showing the distribution and convergence of the model inversion.</p> <p>The input for the GBIS inversions is stored in /GBIS_results/INSAR_input/</p> <p>the file <a href="https://zenodo.org/api/files/f30be116-1e2f-4d52-8fcf-a54e11ab691f/matlab_functions.zip?versionId=490de786-f245-45b5-92bb-d2ae0d50be56">matlab_functions.zip </a>contains matlab functions used for data processing, visualisation, storage and conversion.</p> <p>the file <a href="https://zenodo.org/api/files/f30be116-1e2f-4d52-8fcf-a54e11ab691f/GBISv1_1_MJWB.zip?versionId=cec83c81-a0b7-4e4a-8aa8-ac81e32b8772">GBISv1_1_MJWB.zip </a>contains GBIS code adapted by the author to perform statistical analysis of the model inversion, perform region-of-interest based subsampling and store modeled results as shapefiles for further processing.</p> <p> </p>
Positive p53 expression is significantly found higher in luminal B HER-2 negative cases with primary endocrine therapy resistance: A multicenter retrospective cross-sectional study in Indonesia
<p><strong>Positive p53 expression is significantly found higher in luminal B HER-2 negative cases with primary endocrine therapy resistance: A multicenter retrospective cross-sectional study in Indonesia</strong></p>
Figure 2 in Expanding Population Edge Craniometrics and Genetics Provide Insights into Dispersal of Commensal Rats through Nusa Tenggara, Indonesia
Figure 2. Sampling locations for skulls included in the craniometric analysis.
Figure 6 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 6. Mollusc habitats (NISP) at Jareng Bori.
Figure 15 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 15. Ferrous metal artefact cf. knife from Jareng Bori.
Figure 5 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 5. Major mollusc taxa (NISP) at Jareng Bori.
Figure 12 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 12. Slipped sherds by spit at Jareng Bori.
Figure 11 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 11. Average sherd thickness (mm) by spit at Jareng Bori.
Figure 9 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 9. Vertical distribution of ceramics from Jareng Bori for sherds over 1 g.
Development of a Predictive Model for In-Hospital Mortality in COVID-19 Patients Using CAR, IL-6, IL-6/LY, and NLR: A Single-Center Study in Indonesia
<p>Figure 1. ROC Curve of CAR, IL-6, IL-6/LY, and NLR</p> <p> </p> <p>Figure 2. Kaplan Meier curve of (a) CAR (b) IL-6 (c) IL-6/LY (d) NLR blue line represents group above cut off and green one represents group below cut-off</p> <p> </p>
Dataset for yield and carbon sequestration of main tree crops in Indonesia
<p>Biophysical productivity of production systems involving oil palm, rubber, cacao, coffee and coconut on mineral soil using the WaNuLCAS model developed by ICRAF. The WaNuLCAS model (van Noordwijk and Lusiana 1999; van Noordwijk et al., 2011) is a generic tree-crop growth model for a wide range of agroforestry systems that considers both aboveground (light) and belowground (soil, water, and nutrients). Yield and carbon sequestration calculation of the corresponding production systems in peatland were developed using a hybrid approach through adjusting results for mineral soil production system with productivity gaps identified through literature review. Finally, land suitability and statistical data analyses were conducted to estimate productivity of sago and pineapple.</p> <p>The dataset cover current practices and potential management improvements of tree crops cultivation that can increase the benefits to people’s livelihood while contributing to climate change mitigation and biodiversity. Results from this study, in combination with other tree-growth and forest regrowth related information, will provide a comprehensive overview on ecological and economic impact of restoration interventions ranging from improved management to ecological restoration. This dataset 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.7937135">https://doi.org/10.5281/zenodo.7937135</a>).</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.