Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,685
datasets available to search
ShareScore release 0.9.0
Dataset results
3,685 results for “indonesia”
Figs 26-31 in On linyphiid spiders from Java, Indonesia, with the description of three new genera and four new species (Araneae: Linyphiidae)
Figs 26-31. Details of male palp structure of Parameioneta javaensis sp. nov. (26) Right palp, retrolateral view. (27) Paracymbium, lateral view. (28) Palpal tibia, dorsal view. (29) Embolic division, ventro-lateral view. (30) Lamella characteristica, ventrolateral view. (31) Embolus, ventro-lateral view.
Figs 1-9 in On linyphiid spiders from Java, Indonesia, with the description of three new genera and four new species (Araneae: Linyphiidae)
Figs 1-9. Photographs of males: the holotype of Javagone maribaya sp. nov. (1-4), the paratype of Javanaria gracilipes sp. nov. (5-6) and the holotype (7) and both paratypes (8-9) of Javanyphia gede sp. nov. (1, 5, 8-9) Habitus, dorsal view. (2, 6-7) Prosoma, lateral view. (3) Prosoma, frontal view. (4). Prosoma, dorsal view.
Figs 15-20 in On linyphiid spiders from Java, Indonesia, with the description of three new genera and four new species (Araneae: Linyphiidae)
Figs 15-20. Details of male palp structure of Javanaria gracilipes sp. nov., paratype. (15-16) Right palp, retrolateral and prolateral views, respectively. (17) Palpal tibia, paracymbium and proximal part of cymbium, dorsal view. (18) Distal part of embolus and distal suprategular apophysis, ventral view. (19) Embolic division, ventral view. (20) Distal suprategular apophysis, median membrane and embolic division, dorso-lateral view.
Query dan Perspektif Bloom untuk "Analisis Data Paradise Papers Indonesia Menggunakan Algoritma Strongly Connected Components dan Harmonic Centrality"
<p>Query dan Perspektif Bloom untuk "Analisis Data Paradise Papers Indonesia Menggunakan Algoritma Strongly Connected Components dan Harmonic Centrality"</p>
Morphological and physiological characteristics of cassava genotypes on dry-land of ultisol soil in Indonesia
<p>This data showed the characterization of morphological and physiological characters of some cassava genotypes in Indonesia that were collected from some areas in Indonesia and now, planting in the IPB Germplasm Farm Collection at Bogor Regency, Indonesia. We have more than 50 genotypes collections. </p>
Commodity Dataset | Retrieving the National Main Commodity Maps in Indonesia Based on High-Resolution Remotely Sensed Data Using Cloud Computing Platform
<p>(Commodity data in raster format) Supplementary materials for “Retrieving the National Main Commodity Maps in Indonesia Based on High-Resolution Remotely Sensed Data Using Cloud Computing Platform” that had been published on Land MDPI (2020). doi:<a href="https://doi.org/10.3390/land9100377">10.3390/land9100377</a> </p> <p>The data included:</p> <p>1) Raster data of commodity maps (TIFF Compressed in ZIP)</p> <p>2) READ ME for the dataset (DOCX)</p> <p>3) Legend for raster data in ArcGIS Format (LYR)</p> <p> </p>
Palaeoecological data of KP core, Kampar Peninsula, Riau, Sumatra, Indonesia
<p>Southeast Asian peatlands, along with their various important ecosystem services, are mainly distributed in the coastal areas of Sumatra and Borneo. These ecosystems are threatened by coastal development, global warming and sea level rise (SLR). Despite receiving growing attention for their biodiversity and as massive carbon stores, there is still a lack of knowledge on how they initiated and evolved over time, and how they responded to past environmental change, i.e., precipitation, sea level and early anthropogenic activities. To improve our understanding thereof, we conducted multi-proxy palaeoecological studies in the Kampar Peninsula and Katingan peatlands in the coastal area of Riau and Central Kalimantan, Indonesia. The results indicate that the initiation timing and environment of both peatlands are very distinct, suggesting that peat could form under various vegetation as soon as there is sufficient moisture to limit organic matter decomposition. The past dynamics of both peatlands were mainly attributable to natural drivers, while anthropogenic activities were hardly relevant. Changes in precipitation and sea level led to shifts in peat swamp forest vegetation, peat accumulation rates, and fire regimes at both sites. We infer that the simultaneous occurrence of El Niño-Southern Oscillation (ENSO) events and SLR resulted in synergistic effects which led to the occurrenceere fires in a pristine coastal peatland ecosystem, however, it did not interrupt peat accretion. In the future, SLR, combined with the projected increase in frequency and intensity of ENSO, can potentially amplify the negative effects of anthropogenic peatland fires. This prospectively stimulates massive carbon release, thus could, in turn, contribute to worsening the global climate crisis especially once an as yet unknown threshold is crossed and peat accretion is halted, i.e., peatlands lose their carbon sink function. Given the current rapid SLR, coastal peatland managements should start develop fire risk reduction or mitigation strategies.</p>
Fig. 4 in Length-Weight Relationships And Condition Factors Of The Naleh Fish Barbonymus Gonionotus (Pisces, Cyprinidae) Harvested From Nagan Raya Waters, Indonesia
Fig. 4. Comparison of observed and predicted growth for B. gonionotus males (a) and females (b) sampled during January 2017 to December 2017. Total number of FIsh = 135 females, 626 males. Predicted growth curve for males, y = 0.317x – 20.3 R2 = 0.970, and for females: y = 0.330x – 21.40, R2 = 0.979.
Fig. 3. Length-weight relationship for B in Length-Weight Relationships And Condition Factors Of The Naleh Fish Barbonymus Gonionotus (Pisces, Cyprinidae) Harvested From Nagan Raya Waters, Indonesia
Fig. 3. Length-weight relationship for B. gonionotus males (a) and females (b) sampled from January 2017 to December 2017. Observed growth curve of B. gonionotus males, y = 2.8001x – 10.542, R2 = 0.9022, and females, y= 2.7744x – 10.393, R2= 0.9265.
Data set for the fauna material excavated at the Liang Abu site (East Kalimantan, Indonesia)
<p>Data set for the fauna material excavated at the Liang Abu site (East Kalimanta, Indonesia): count by subphylum, class, order, family, genus, and species for the squares 11Ec, 11Ed, and12Eb.</p>
Data set for the lithic material excavated at the Liang Abu site (East Kalimantan, Indonesia)
<p>Three tables describing the lithic material excavated at the Liang Abu site (East Kalimantan, Indonesia):</p> <ul> <li>abu-lithic-class.csv: count by class by stratigraphic layer</li> <li>abu-lithic-spatial-distribution.csv: count by square and stratigraphic layer</li> <li>abu-lithic-flakes.csv: morphometric values of the flakes</li> </ul>
Waveforms and results of seismic attenuation in Sumatra subduction zone, Indonesia
<p>Datasets for the manuscript:</p> <p>Styawan, Y., Kuo, C.-H., Huang, B.-S., Wen, K.-L., Haridhi, H. A., Sianipar, D., Characteristics of seismic attenuation in Sumatra subduction zone, Indonesia (submitted)</p> <p>The attached files include:</p> <p>1) 0.2 Hz Highpass filtered waveforms for Z and T components.</p> <p>2) Results (α, event, station, t*, Q, corner frequency, Ω0, SNR, component (Z or T), category (forearc, mountain, or backarc), and Qp/Qs).</p> <p>3) Additional data (information on events and stations).</p> <p>4) site amplification factors (P and S of all stations in different α).</p>
FIG. 6 in An emic understanding of honey bees and their environment: attracting bee swarms to nest on rafters in Belitung, Indonesia
FIG. 6. — Two views on the same rafter (sunggau muke with renak ngelandas; 28 March 2017). Credits: M. Rhomadona (A), N. Césard (B).
FIG. 5 in An emic understanding of honey bees and their environment: attracting bee swarms to nest on rafters in Belitung, Indonesia
FIG. 5. — Rendap rabas, before (A) and after (B) being improved (November 2013). The arrows indicate the cuts in the vegetation. Credits: N. Césard.
FIG. 1 in An emic understanding of honey bees and their environment: attracting bee swarms to nest on rafters in Belitung, Indonesia
FIG. 1. — Hemispherical photographs of three rendap (in pale blue): direct (A), indirect (or semi-open) (B) and well (C) access paths. Credits: N. Césard.
Text-fig. 2. Distribution of different rock units in the turbidite facies in Majalengka area, West Java, Indonesia. in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 2. Distribution of different rock units in the turbidite facies in Majalengka area, West Java, Indonesia.
Text-fig. 6. Shallowing pattern during the Middle Miocene to Late Miocene/Pliocene due to increasing magmatic activity as an external parameter. a: palaeobathymetry map during the Middle Miocene to Pliocene; b: sea level change curve indicating a shallowing pattern; c: relative changes of sea level and magmatic activity curve (Haq et al. 1987, Soeria-Atmadja et al. 1998, Muljana 2012). in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 6. Shallowing pattern during the Middle Miocene to Late Miocene/Pliocene due to increasing magmatic activity as an external parameter. a: palaeobathymetry map during the Middle Miocene to Pliocene; b: sea level change curve indicating a shallowing pattern; c: relative changes of sea level and magmatic activity curve (Haq et al. 1987, Soeria-Atmadja et al. 1998, Muljana 2012).
Text-fig. 3. Outcrop cross section of the turbidite facies distribution in the Majalengka, correlated northwest to southeast. The progradation pattern indicated by thickening of sandstone into the basin area are shown. F1 – heterolithic sandstone-mudstone 1; F2 – heterolithic sandstone-mudstone 2; F3 – mudstone facies; F4 – heterolithic fine sand and mudstone; F5 – conglomeratic to massive sandstone facies (Muljana 2012). in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 3. Outcrop cross section of the turbidite facies distribution in the Majalengka, correlated northwest to southeast. The progradation pattern indicated by thickening of sandstone into the basin area are shown. F1 – heterolithic sandstone-mudstone 1; F2 – heterolithic sandstone-mudstone 2; F3 – mudstone facies; F4 – heterolithic fine sand and mudstone; F5 – conglomeratic to massive sandstone facies (Muljana 2012).
Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E. in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E.
Text-fig. 5. Several trace fossil types found within turbidite facies in Majalengka area (Muljana 2012). (a) Chondrites, (b) Planolites, (c–e) Thalassinoides, (f) Cruziana?. Scale bar 5 cm. in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 5. Several trace fossil types found within turbidite facies in Majalengka area (Muljana 2012). (a) Chondrites, (b) Planolites, (c–e) Thalassinoides, (f) Cruziana?. Scale bar 5 cm.
ScienceDex guides
Understand access before you commit
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.