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318 results for “Data mining”
Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining
<p>The Supplementary Material of the paper "Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining" includes: <br> 1) APPENDIX 1: SQL Statements for data extraction. Appendix 2: Interview for operating Staff.<br> 2) The DataSet of the normalized data to define the predictive model.</p>
Data from: A multifactor coupling prediction model for the failure depth of floor rocks in fully mechanized caving mining: a numerical and in situ study
To study the mining-induced failure depth of floor rocks in a fully-mechanized mining caving field affected by different coal seam pitches, mining face lengths, burial depths and aquifer water pressures, multifactor coupled orthogonal numerical tests on the failure depth of floor rocks were conducted. The numerical results show that the failure depth of floor rocks increases with increasing mining face length, coal seam pitch and burial depth. According to the relationship between failure depth and these impact factors, a multifactor coupled prediction model for the failure depth of floor rocks was established. In addition, the in-situ measurement of the failure depth of floor rocks in the Yitang Coal Mine in Huoxi coal field in Shanxi Province, China, was performed, and the in-situ failure depths of floor rocks in the 100502 (80 m) and 100502 (180 m) mining faces were approximately 12.50~14.65 m and 17.50~19.20 m, in good agreement with the results of the multifactor prediction model. Furthermore, the sensitivity of each impact factor in the prediction model of the floor failure depth was further analysed by F-test and range analysis, and the impact order of studied factors on the floor failure depth is coal seam pitch>mining face length>burial depth>aquifer water pressure.
Global structure of magnetotail reconnection revealed by mining space magnetometer data
<p>Data associated with the manuscript titled "Global structure of magnetotail reconnection revealed by mining space magnetometer data". For each of the 26 IDR events, files are included that detail: time intervals identified using the nearest-neighbor search and the resulting subset of magnetometer data and their associated weights, files containing the fit set of coefficients and parameters for the model, and the digital model output data that were used in constructing the figures. The compiled magnetometer database used in this study is available on the SPDF website. This study extended this database with the addition of MMS magnetometer data which has also been included in the Zenodo archive. The SMR and SML indices obtained from the SuperMAG web page are also included in the Zenodo archive.</p>
Data Mining Inspired Localized Resistivity in Global MHD Simulations of the Magnetosphere
<p>The upload contains data for the paper submitted to the Journal of Geophysical Research.</p>
Seismic datas generated while excavation of coal mine roadway
Open the record for dataset details and reuse information.
Picturing global substorm dynamics in the magnetotail using low-altitude ELFIN measurements and data mining-based magnetic field reconstructions (SST19 Reconstruction Output Dataset for Review)
<p>The dataset containing SST19 reconstruction output data accompanying the GRL submission for "Picturing global substorm dynamics in the magnetotail using low-altitude ELFIN measurements and data mining-based magnetic field reconstructions"</p>
Data and code for 'Coal mine closure substantially increases terrestrial water storage in China'
Open the record for dataset details and reuse information.
Automated electrosynthesis reaction mining with multimodal large language models - raw data and prompts
<p>Compilation of the prompts used, together with the raw response files from the tested MLMM models. </p>
Fig. 4 in Morphological and genetic data suggest a complex pattern of inter-island colonisation and differentiation for mining bees (Hymenoptera: Anthophila: Andrena) on the Macaronesian Islands
Fig. 4 Linear discriminant analysis (LDA) with morphometric data of all species of the A. wollastoni group (eigenvalues: LD1 19%, LD2 65%). The ellipses characterise the 95% confidence level. The colours of the specimen labels correspond to those used in Figs. 1, 2
Fig. 7 in Morphological and genetic data suggest a complex pattern of inter-island colonisation and differentiation for mining bees (Hymenoptera: Anthophila: Andrena) on the Macaronesian Islands
Fig. 7 Hypothetical colonisation model of the species of the A. wollastoni-group (continuous line). The colours of the specimen circles correspond to those used to represent constituent taxa in Figs. 1, 2
Fig. 5 in Morphological and genetic data suggest a complex pattern of inter-island colonisation and differentiation for mining bees (Hymenoptera: Anthophila: Andrena) on the Macaronesian Islands
Fig. 5 Principal component analysis of the morphological data. The colours of the specimen labels correspond to those used in Figs. 1, 2 (explained variance PC1: 58.8%, PC2: 19.3%) The black arrows plot-
Figure 5 from: Kobayashi S, Johns CA, Lopez-Vaamonde C, Doorenweerd C, Kawakita A, Ohshima I, Lees DC, Hanabergh S, Kawahara AY (2018) Hawaiian Philodoria (Lepidoptera, Gracillariidae, Ornixolinae) leaf mining moths on Myrsine (Primulaceae): two new species and biological data. ZooKeys 773: 109-141. https://doi.org/10.3897/zookeys.773.21690
Figure 5 Forewing coloration and pattern of Myrsine-feeding Philodoria species. A–D P. succedanea E–H P. auromagnifica I, J P. kauaulaensis K, L P. kolea. A–C, E–G, K Hawai'i Volcanoes National Park. A Female SK622, leaf-dropper B Male SK625, leaf-dropper C Male SK633 D Paralectotype female 34320 Haleakala, Maui in BPBM E Female SK624, non-leaf-dropper F Female SK623, non-leaf-dropper G Male SK805 H Female Z-XII-20-62-6 34143 Wailupe, Oahu, in BPBM I, J Holotype female SK690 K Paratype female SK632 L Paratype female SK631. Scale bars: 1 mm.
Figure 7 from: Kobayashi S, Johns CA, Lopez-Vaamonde C, Doorenweerd C, Kawakita A, Ohshima I, Lees DC, Hanabergh S, Kawahara AY (2018) Hawaiian Philodoria (Lepidoptera, Gracillariidae, Ornixolinae) leaf mining moths on Myrsine (Primulaceae): two new species and biological data. ZooKeys 773: 109-141. https://doi.org/10.3897/zookeys.773.21690
Figure 7 Genitalia of Philodoria. E–I Female. A–D P. kolea holotype male Hawaii SK851 E P. succedanea paralectotype Maui SK714 F P. succedanea leaf dropper Hawaii SK624 G P. auromagnifica non leaf dropper Hawaii SK623 H P. kauaulaensis holotype SK690 I P. kolea paratype Hawaii SK634. A Valva B Genital capsule lateral view C Genital capsule ventral view D Phallus lateral view
Figure 2 from: Kobayashi S, Johns CA, Lopez-Vaamonde C, Doorenweerd C, Kawakita A, Ohshima I, Lees DC, Hanabergh S, Kawahara AY (2018) Hawaiian Philodoria (Lepidoptera, Gracillariidae, Ornixolinae) leaf mining moths on Myrsine (Primulaceae): two new species and biological data. ZooKeys 773: 109-141. https://doi.org/10.3897/zookeys.773.21690
Figure 2 Adults of Myrsine-feeding Philodoria species. A–D P. succedanea Walsingham, 1907 A Lectotype female B Paralectotype male C Paralectotype female D Male Lanai E–F P. auromagnifica Walsingham, 1907 E Holotype male F Female Kauai. Scale bar: 1 mm.
Figure 14 from: Kobayashi S, Johns CA, Lopez-Vaamonde C, Doorenweerd C, Kawakita A, Ohshima I, Lees DC, Hanabergh S, Kawahara AY (2018) Hawaiian Philodoria (Lepidoptera, Gracillariidae, Ornixolinae) leaf mining moths on Myrsine (Primulaceae): two new species and biological data. ZooKeys 773: 109-141. https://doi.org/10.3897/zookeys.773.21690
Figure 14 Mine forms and characters of Philodoria species and their Myrsine host plants. A: long linear form via mid vein ; B: Spiral to blotch form; C, D: Serpentine form. A P. succedanea B P. kauaulaensis C P. auromagnifica D P. kolea A, C1–2, D M. lessertiana D1, 2 same collection of SKH-05-1 B1 M. lanaiensis, same collection of CJ-381 B2 M. sandwicensis, same collection of CJ-072 C3 M. wawraea, CJ-148. A Molokai B Maui C1–2, D Hawaii C3 Kauai.
Figure 13 from: Kobayashi S, Johns CA, Lopez-Vaamonde C, Doorenweerd C, Kawakita A, Ohshima I, Lees DC, Hanabergh S, Kawahara AY (2018) Hawaiian Philodoria (Lepidoptera, Gracillariidae, Ornixolinae) leaf mining moths on Myrsine (Primulaceae): two new species and biological data. ZooKeys 773: 109-141. https://doi.org/10.3897/zookeys.773.21690
Figure 13 Biology of Philodoria kolea and its host, on seedlings of Myrsine lessertiana. A Young mine B–C, E–F Mine by later instar larva G Mature mine and larva H Full mature mine. Arrows showing larvae.
Figure 12 from: Kobayashi S, Johns CA, Lopez-Vaamonde C, Doorenweerd C, Kawakita A, Ohshima I, Lees DC, Hanabergh S, Kawahara AY (2018) Hawaiian Philodoria (Lepidoptera, Gracillariidae, Ornixolinae) leaf mining moths on Myrsine (Primulaceae): two new species and biological data. ZooKeys 773: 109-141. https://doi.org/10.3897/zookeys.773.21690
Figure 12 Biology of Philodoria kolea with its hostplant, Myrsine lessertiana. A–M Hawai'i Volcanoes National Park A–B, E Hostplant leaves and mines C Habitat and hostplants D Leaves and young mine F–H Later mines I Young larva J–L Mine by later instar larva M Cocoon N Resting posture of adult, paratype female lateral view.
Figure 11 from: Kobayashi S, Johns CA, Lopez-Vaamonde C, Doorenweerd C, Kawakita A, Ohshima I, Lees DC, Hanabergh S, Kawahara AY (2018) Hawaiian Philodoria (Lepidoptera, Gracillariidae, Ornixolinae) leaf mining moths on Myrsine (Primulaceae): two new species and biological data. ZooKeys 773: 109-141. https://doi.org/10.3897/zookeys.773.21690
Figure 11 Biology of Philodoria auromagnifica with its hostplant. A Resting posture of adult male, host: Myrsine wawraea Kauai CJ-148 B, C Later mine, host: M. lessertiana Hawai'i Volcanoes National Park, Hawaii.
Figure 15 from: Kobayashi S, Johns CA, Lopez-Vaamonde C, Doorenweerd C, Kawakita A, Ohshima I, Lees DC, Hanabergh S, Kawahara AY (2018) Hawaiian Philodoria (Lepidoptera, Gracillariidae, Ornixolinae) leaf mining moths on Myrsine (Primulaceae): two new species and biological data. ZooKeys 773: 109-141. https://doi.org/10.3897/zookeys.773.21690
Figure 15 Maximum likelihood tree of Philodoria species based on the DNA barcoding region. Numbers on nodes indicate bootstrap support values. Collection ID, host plant, and collection locality, are also shown.
Figure 9 from: Kobayashi S, Johns CA, Lopez-Vaamonde C, Doorenweerd C, Kawakita A, Ohshima I, Lees DC, Hanabergh S, Kawahara AY (2018) Hawaiian Philodoria (Lepidoptera, Gracillariidae, Ornixolinae) leaf mining moths on Myrsine (Primulaceae): two new species and biological data. ZooKeys 773: 109-141. https://doi.org/10.3897/zookeys.773.21690
Figure 9 Biology of Philodoria succedanea with its hostplant, Myrsine lessertiana. A–J Hawai'i Volcanoes National Park, Hawaii (Big Island) K–N Maui A Fallen leaf and leaf mine with larva B Hostplants and leaf mines C, I, J Young mine D Leaf vein mine E–G Mine by late instar larva H, K, M Mature larva and mine N Mature larva O Adult, CJ-145, lateral view.
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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.