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503 results for “Indonesian”
Figure 7 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 7 Rostrum dorsal view A Cherax mosessalossa sp. n. holotype male (MZB Cru 4675) B Cherax misolicus (this study) C Cherax warsamsonicus, holotype male, (MZB Cru 4529)Dorsal view D Cherax mosessalossa sp. n. holotype male (MZB Cru 4675) . E Cherax misolicus (this Study) F Cherax warsamsonicus, holotype male, (MZB Cru 4529)
Figure 5 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 5 Cherax mosessalossa sp. n. holotype male (MZB Cru 4675) . A right first chela, dorsal aspect B right first chela, ventral aspect. Scale bars: 10 mm.
Figure 4 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 4 Cherax mosessalossa sp. n. holotype male (MZB Cru 4675), dorsal view of cephalothorax. Scale bar: 10 mm.
Figure 3 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 3 Cherax mosessalossa sp. n. holotype male (MZB Cru 4675). A dorsal view of carapace B dorsal view of right chelae C ventral view of right chelae. Scale bars: 10 mm.
Figure 19 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 19 Phylogenetic relationships of Cherax mosessalossa sp. n. and C. alyciae sp. n. within the northern New Guinea Cherax lineage, reconstructed by BI analyses of two mitochondrial gene fragments. Number on branches show, from top, Bayesian posterior probabilities (>0.7) and ML/MP bootstrap values (>50). An asterisk indicates nodes with full support (1/100/100) in all analyses. The scale bar indicates the substitution rate. See Table 1 for information on the sequenced specimens. A Topology based on concatenated COI and 16S dataset B Topology based on COI dataset C Topology based on 16S dataset.
Figure 16 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 16 Dorsal view chelae. A Cherax peknyi, holotype male (QMW28267) B C. alyciae sp. n. holotype male (MZB Cru 4672) ventral view chelae C Cherax peknyi, holotype male, (QMW28267) D C. alyciae sp. n. holotype male (MZB Cru 4672).
Figure 12 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 12 C. alyciae sp. n. holotype male (MZB Cru 4672) A dorsal view of carapace B scaphocerite C dorsal view of left chelae D ventral view of left chelae. Scale bars: 10 mm (A, C, D), 5 mm (B).
Figure 14 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 14 C. alyciae sp. n. holotype male (MZB Cru 4672) A left first chela, dorsal aspect B left first chela, ventral aspect. Scale bars: 10 mm.
Figure 13 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 13 C. alyciae sp. n. holotype male (MZB Cru 4672), dorsal view of cephalothorax. Scale bar: 10 mm.
Figure 10 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 10 C. alyciae sp. n. A holotype male (MZB Cru 4672) from nameless creek, Boven Digoel Regency B idem, colour variation.
Figure 1 from: Lukhaup C, Eprilurahman R, von Rintelen T (2018) Two new species of crayfish of the genus Cherax from Indonesian New Guinea (Crustacea, Decapoda, Parastacidae). ZooKeys 769: 89-116. https://doi.org/10.3897/zookeys.769.26095
Figure 1 Cherax mosessalossa sp. n. A holotype male (MZB Cru 4675) from Klademak Creek, Sorong City B idem, side view.
Database of ionospheric rate of TEC change index (ROTI) map derived from Indonesian GNSS receiver network
<blockquote> <p><strong>USERS CAN ALSO ACCESS THE ROTI MAPS IN THIS DATABASE LINK:</strong></p> <p><strong>https://gatotkaca.brin.go.id/petaionosfer/</strong></p> </blockquote> <p> </p> <p><strong>Introduction</strong></p> <p>Indonesia, located near the magnetic equator in Southeast and East Asia, is essential for studying ionospheric phenomena, particularly equatorial plasma bubbles (EPBs). The Indonesian Geospatial Information Agency (BIG) has deployed a network of Global Navigation Satellite System (GNSS) receivers as part of the Indonesia Continuously Operating Reference Stations (Ina-CORS) across this country. This network has enabled the creation of detailed ionospheric irregularities maps based on the Rate of Total Electron Content (TEC) Change Index (ROTI). These maps are crucial for understanding EPBs in Southeast and East Asia.</p> <p><strong>GNSS network and ROTI map generation</strong></p> <p>The Ina-CORS consists of over 300 GNSS receivers strategically placed across Indonesia (see attached figure "geographic map_receivers.jpg"), spanning from 95°E to 140°E and from 5°N to 10°S. These receivers continuously gather GNSS observable data with a time resolution of 30 seconds in a Receiver Independent Exchange (RINEX) file. This data is then processed to generate the ROTI maps from the magnetic equator to the southern low-latitude region in Southeast/East Asia.</p> <p>The GNSS data in the RINEX file is processed to calculate the Total Electron Content (TEC) using the open software developed by Seemala (2023). The software can be found at https://seemala.blogspot.com/2020/12/gps-tec-program-version-3-for-rinex-3.html. ROTI is derived by measuring the standard deviation of the rate of change of TEC over a 5-minute interval (Pi et al., 1997). This index is a critical indicator of ionospheric irregularities with kilometers of spatial scales inside the EPBs.<br>Using ROTI data plotted at the Ionospheric Pierce Point (IPP) altitude of 350 km, 2-dimensional (2D) latitude-longitude ROTI maps are generated. The grid size of the ROTI map is 0.25° × 0.25°. The ROTI map is smoothed by a boxcar average of 5 × 5 grid data regarding geographic latitude and longitude. In the map, sunset and sunrise terminators at altitudes of 110 km (red curve), 350 km (green curve), and 650 km (black curve) are plotted. The ROTI map is generated at each interval of 10 minutes from 9:00 to 23:50 UT. The name file of the zipped map in one day indicates the year and day of the year. For example, s_2024122_map.rar indicates the maps on day 122 in 2024.</p> <p><strong>Purpose</strong></p> <p>Sharing GNSS data in RINEX files from the CORS could be strictly limited. Sharing the ROTI map derived from the CORS of Southeast Asian countries can be an alternative solution. This database aims to store the ROTI maps over Indonesia derived from GNSS data of the Ina-CORS network. The ROTI map database is also freely accessible and can be used for educational and scientific purposes. It is an academic/scientific resource and promotes a deeper understanding of EPB phenomena and their impact on navigation and communication systems. This database enables continuous monitoring and analysis of ionospheric conditions, particularly EPB occurrence. The database supports scientific research, enhances GNSS applications, and contributes to space weather forecasting by providing a high-resolution ROTI map. This ROTI map database has been developed to encourage research collaboration between researchers globally and in Indonesia.</p> <p><strong>Attribution</strong></p> <p>Users must appropriately credit the data source in this database in any publications, presentations, or products derived from it. When using the ROTI maps in this database, please cite the database. The users acknowledge the Indonesian Geospatial Information Agency (Badan Informasi Geospasial, BIG) for providing the GNSS data to make the ROTI map. Users are also encouraged to collaborate with ionospheric researchers in Indonesia.</p> <p><strong>References</strong></p> <p>Gopi K. Seemala (2023), Chapter 4 - Estimation of ionospheric total electron content (TEC) from GNSS observations, Editor(s): A.K. Singh, S. Tiwari, In Earth Observation, Atmospheric Remote Sensing, Elsevier, 2023, Pages 63 - 84, doi.org/10.1016/B978-0-323-99262-6.00022-5.</p> <p>Pi, X., Mannucci, A. J., Lindqwister, U. J., and Ho, C. M. (1997), Monitoring of global ionospheric irregularities using the worldwide GPS network, Geophys. Res. Lett., 24, 2283–2286.</p> <p> </p> <p><strong>More Information</strong><br>Feel free to reach out via email for more information. Your feedback is invaluable to us, and we encourage users to share their experiences and suggestions for research ideas and further improvements.<br>Correspondence: P. Abadi, Dr.; Researcher at Research Center for Climate and Atmosphere, BRIN; email: pray001[at]brin.go.id (replace "[at]" with "@").</p> <p> </p> <p> </p>
The Examining Validity and Reliability of the Prosocial Behavior Scale: Insights from an Indonesian Sample
Open the record for dataset details and reuse information.
Transcript Strategic Alliances as a Catalyst for Sustainable Growth: A Case Study of the Indonesian Cosmetics Industry
<p>Consist of interview guide, transcript, code, triangulation and research protocol</p>
FIGURE 1. Dendrobium rubrostriatum. A in Dendrobium rubrostriatum, A New Species of Dendrobium section Aporum from West Kalimantan, Indonesian Borneo
FIGURE 1. Dendrobium rubrostriatum. A, flower, oblique view. B, flower, side view.
Supplement Information for article titled the global trade and socioeconomic and environmental trade-offs: a study on the future of Indonesian oil palm
Open the record for dataset details and reuse information.
Figure 5 from: Syahputra G, Gustini N, Bustanussalam B, Hapsari Y, Sari M, Ardiansyah A, Bayu A, Putra MY (2021) Molecular docking of secondary metabolites from Indonesian marine and terrestrial organisms targeting SARS-CoV-2 ACE-2, M pro, and PL pro receptors. Pharmacia 68(3): 533-560. https://doi.org/10.3897/pharmacia.68.e68432
Figure 5 Analysis of the conformation and interaction of hydrogen bonds between ligands and receptors with a distance < 5 Å. A. ACE-2-ptilidepsin; B. PLpro -ptilidepsin; C. Mpro-ptilidepsin.
Figure 4 from: Syahputra G, Gustini N, Bustanussalam B, Hapsari Y, Sari M, Ardiansyah A, Bayu A, Putra MY (2021) Molecular docking of secondary metabolites from Indonesian marine and terrestrial organisms targeting SARS-CoV-2 ACE-2, M pro, and PL pro receptors. Pharmacia 68(3): 533-560. https://doi.org/10.3897/pharmacia.68.e68432
Figure 4 Analysis of the conformation and interaction of hydrogen bonds between ligands and receptors with a distance < 5 Å. A. ACE-2-dieckol; B. PLpro -dieckol; C. Mpro-dieckol.
Figure 2 from: Syahputra G, Gustini N, Bustanussalam B, Hapsari Y, Sari M, Ardiansyah A, Bayu A, Putra MY (2021) Molecular docking of secondary metabolites from Indonesian marine and terrestrial organisms targeting SARS-CoV-2 ACE-2, M pro, and PL pro receptors. Pharmacia 68(3): 533-560. https://doi.org/10.3897/pharmacia.68.e68432
Figure 2 The structure of the PLpro SARS-CoV-2 receptor (PDB ID: 5TL6) along with the distribution of residues on the Ramachandran plot. The PLpro receptor structure is composed of 10 α-helix structures and 19 β-sheet structures. The PLpro receptor structure is ready to use in molecular docking simulations with 96.55% of the residue in the protein-forming region.
Figure 1 from: Syahputra G, Gustini N, Bustanussalam B, Hapsari Y, Sari M, Ardiansyah A, Bayu A, Putra MY (2021) Molecular docking of secondary metabolites from Indonesian marine and terrestrial organisms targeting SARS-CoV-2 ACE-2, M pro, and PL pro receptors. Pharmacia 68(3): 533-560. https://doi.org/10.3897/pharmacia.68.e68432
Figure 1 The structure of the Mpro SARS-CoV-2 receptor (PDB ID: 6LU7) along with the distribution of residues on the Ramachandran plot. The Mpro receptor structure is composed of 10 α-helix structures and 13 β-sheet structures. The Mpro receptor structure is ready to use in molecular docking simulations with 92.15% of the residue in the protein-forming region.
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)
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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.