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416 results for “168”
ELITE SLWR: global 1km 5-min SLUR at SIN Grid-Terra (2012_168-182)
<p><span>The <strong><span>E</span></strong>ssential therma<strong><span>l</span></strong> <strong><span>I</span></strong>nfrared remo<strong><span>T</span></strong>e s<strong><span>E</span></strong>nsing (<strong><span>ELITE</span></strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (</span><span><a href="https://elite.bnu.edu.cn/"><span>https://elite.bnu.edu.cn</span></a></span><span>).</span></p> <p><span>This dataset is ELITE <span>surface longwave upward radiation (SLUR)</span> product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016).</span></p> <p><span>This is the ELITE SLUR product in 2012 (DOY: 168-182). Please <a href="../records/11084985"><em><strong><span>click here</span></strong></em></a> to download the ELITE SLUR product in 2012 (DOY: 183-197).</span></p> <p><strong><span>Dataset Characteristics:</span></strong></p> <ul> <li><span>Spatial Coverage: Global</span></li> <li><span>Temporal Coverage: 2012-06-16 ~ 2012-06-30</span></li> <li><span>Spatial Resolution: 1 km</span></li> <li><span>Temporal Resolution: 5-min</span></li> <li><span>Data Format: h5</span></li> <li><span>Projection: Sinusoidal</span></li> <li><span>Scale: 0.05</span></li> <li><span>Offset: -1000</span></li> </ul> <p><strong><span>Citation</span></strong><span>(Please cite these papers when using the data)<strong><span>:</span></strong></span></p> <ol> <li><span>Cheng, J., & Liang, S. (2016). Global estimates for high spatial resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 54, 4115-4129.</span></li> </ol> <p><span>If you have any questions, please contact Prof. Jie Cheng (<a href="mailto:eliteqrs@126.com">eliteqrs@126.com</a>).</span></p>
ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Terra (2012_168-182)
<p><span>The <strong><span>E</span></strong>ssential therma<strong><span>l</span></strong> <strong><span>I</span></strong>nfrared remo<strong><span>T</span></strong>e s<strong><span>E</span></strong>nsing (<strong><span>ELITE</span></strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (</span><span><a href="https://elite.bnu.edu.cn/"><span>https://elite.bnu.edu.cn</span></a></span><span>).</span></p> <p><span>This dataset is ELITE <span>surface longwave downward radiation (SLDR)</span> product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed <span>by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).</span></span></p> <p><span>This is the ELITE SLDR product in 2012 (DOY: 168-182). Please <a href="../records/11075551"><em><strong><span>click here</span></strong></em></a> to download the ELITE SLDR product in 2012 (DOY: 183-197).</span></p> <p><strong><span>Dataset Characteristics:</span></strong></p> <ul> <li><span>Spatial Coverage: Global</span></li> <li><span>Temporal Coverage: 2012-06-16 ~ 2012-06-30</span></li> <li><span>Spatial Resolution: 1 km</span></li> <li><span>Temporal Resolution: 5-min</span></li> <li><span>Data Format: h5</span></li> <li><span>Projection: Sinusoidal</span></li> <li><span>Scale: 0.05</span></li> <li><span>Offset: -1000</span></li> </ul> <p><strong><span>Citation</span></strong><span>(Please cite these papers when using the data)<strong><span>:</span></strong></span></p> <ol> <li><span>Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129. </span></li> <li><span>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</span></li> <li><span>Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.</span></li> </ol> <p><span> </span></p> <p><span>If you have any questions, please contact Prof. Jie Cheng (<a href="mailto:eliteqrs@126.com">eliteqrs@126.com</a>).</span></p>
ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2012_168-182)
<p><span>The <strong><span>E</span></strong>ssential therma<strong><span>l</span></strong> <strong><span>I</span></strong>nfrared remo<strong><span>T</span></strong>e s<strong><span>E</span></strong>nsing (<strong><span>ELITE</span></strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (</span><span><a href="https://elite.bnu.edu.cn/"><span>https://elite.bnu.edu.cn</span></a></span><span>).</span></p> <p><span>This dataset is ELITE <span>surface longwave downward radiation (SLDR)</span> product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed <span>by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).</span></span></p> <p><span>This is the ELITE SLDR product in 2012 (DOY: 168-182). Please <a href="../records/11183707"><em><strong><span>click here</span></strong></em></a> to download the ELITE SLDR product in 2013 (DOY: 183-197).</span></p> <p><strong><span>Dataset Characteristics:</span></strong></p> <ul> <li><span>Spatial Coverage: Global</span></li> <li><span>Temporal Coverage: 2012-06-16 ~ 2012-06-30</span></li> <li><span>Spatial Resolution: 1 km</span></li> <li><span>Temporal Resolution: 5-min</span></li> <li><span>Data Format: h5</span></li> <li><span>Projection: Sinusoidal</span></li> <li><span>Scale: 0.05</span></li> <li><span>Offset: -1000</span></li> </ul> <p><strong><span>Citation</span></strong><span>(Please cite these papers when using the data)<strong><span>:</span></strong></span></p> <ol> <li><span>Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129. </span></li> <li><span>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</span></li> <li><span>Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.</span></li> </ol> <p><span> </span></p> <p><span>If you have any questions, please contact Prof. Jie Cheng (<a href="mailto:eliteqrs@126.com">eliteqrs@126.com</a>).</span></p>
ELITE SLWR: global 1km 5-min SLUR at SIN Grid-Aqua (2012_168-182)
<p><span>The <strong><span>E</span></strong>ssential therma<strong><span>l</span></strong> <strong><span>I</span></strong>nfrared remo<strong><span>T</span></strong>e s<strong><span>E</span></strong>nsing (<strong><span>ELITE</span></strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (</span><span><a href="https://elite.bnu.edu.cn/"><span>https://elite.bnu.edu.cn</span></a></span><span>).</span></p> <p><span>This dataset is ELITE <span>surface longwave upward radiation (SLUR)</span> product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016).</span></p> <p><span>This is the ELITE SLUR product in 2012 (DOY: 168-182). Please <a href="../records/11193534"><em><strong><span>click here</span></strong></em></a> to download the ELITE SLUR product in 2012 (DOY: 183-197).</span></p> <p><strong><span>Dataset Characteristics:</span></strong></p> <ul> <li><span>Spatial Coverage: Global</span></li> <li><span>Temporal Coverage: 2012-06-16 ~ 2012-06-30</span></li> <li><span>Spatial Resolution: 1 km</span></li> <li><span>Temporal Resolution: 5-min</span></li> <li><span>Data Format: h5</span></li> <li><span>Projection: Sinusoidal</span></li> <li><span>Scale: 0.05</span></li> <li><span>Offset: -1000</span></li> </ul> <p><strong><span>Citation</span></strong><span>(Please cite these papers when using the data)<strong><span>:</span></strong></span></p> <ol> <li><span>Cheng, J., & Liang, S. (2016). Global estimates for high spatial resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 54, 4115-4129.</span></li> </ol> <p><span>If you have any questions, please contact Prof. Jie Cheng (<a href="mailto:eliteqrs@126.com">eliteqrs@126.com</a>).</span></p>
Sion 1640 - Building 168 (LoD-1)
<u>Coordinates</u>: N/A <br><u>Length</u>: 19.98 m<br><u>Width</u>: 16.71 m<br><u>Height</u>: 4.64 m<br><u>Vertices</u>: 24 <br><u>Primitives</u>: 12 <br><br> The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.<br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.glb</th><th>.obj</th><th>.mtl</th><th>.xml</th></tr><tr><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168.obj/content">0___LoD1__id-168.obj</a></td><td></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168.obj/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168.mtl/content">0___LoD1__id-168.mtl</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168.mtl/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168.glb/content">0___LoD1__id-168.glb</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168.glb/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12686344/files/11249920_edm.xml/content">11249920_edm.xml</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12686344/files/11249920_edm.xml/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12686344/files/11249920_metsmods.xml/content">11249920_metsmods.xml</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12686344/files/11249920_metsmods.xml/content">Link</a></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12686344/files/0___LoD1__id-168_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.11487844">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12686344">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
FIGURES 163–168 in Complex diversity in a mainly tropical group of ant parasitoids: Revision of the Orasema stramineipes species group (Hymenoptera: Chalcidoidea: Eucharitidae)
FIGURES 163–168. Orasema pisi. Holotype ♀: 163. Habitus. 164. Head. 165. Antenna, with F2 plus pedicel, and F6–F7 inset. 166. Mesosoma, dorsal view. 167. Axillula. 168. Stigma and postmarginal vein.
PowerTAC 2018-07 Finals Game 168
Log and boot files of game 168
FIGURES 168–175 in Holopothrips diversity-a Neotropical genus of gall-inducing insects (Thysanoptera, Phlaeothripidae)
FIGURES 168–175. Holopothrips magnus sp. nov. holotype and paratype. (168) body; (169) head and pronotum; (170) mesonotum; (171) metanotum; (172) pelta; (173) prosternum, showing basantra (white arrows); (174) spermatheca; (175) pore plate on abdominal sternite VIII.
FIGURE 168 in Taxonomic revision of Agraphydrus Régimbart, 1903 I. China and Taiwan (Coleoptera: Hydrophilidae: Acidocerinae)
FIGURE 168. Distribution of A. calvus, A. cantonensis, A. chinensis, A. comes, A. confusus, A. conicus, and A. connexus in China.
FIGURES 164–168 in American Asteraceae-feeding Astrotischeria species with a highly modified, three-lobed valva in the male genitalia (Lepidoptera, Tischeriidae)
FIGURES 164–168. MALE GENITALIA OF Astrotischeria onae DIŠKUS & STONIS, sp. nov., GENITALIA SLIDE NO. AD909, HOLOTyPE, GUATEMALA (ZMUC). 164, 165, CAPSULE WITH PHALLUS REMOVED; 166, PHALLUS; 167, SAME, DETAILS.
FIGURE 168. H. erato petiverana Doubleday, 1847 in Alternative facts: a reconsideration of putatively natural interspecific hybrid specimens in the genus Heliconius (Lepidoptera: Nymphalidae)
FIGURE 168. H. erato petiverana Doubleday, 1847 (dorsal, ventral). Mexico: Veracruz, Nanciyaga. (image source: https://cliniquevetodax.com/Heliconius/pages/erato%20petiverana.html)
FIGURES 165–168 in A revision of the rare flower beetle genus Macronotops Krikken (Coleoptera: Scarabaeidae: Cetoniinae) from Asia with biological notes
FIGURES 165–168. Habitus of Macronotops sexmaculatus (dorsal and ventral view). 165–166, male (Mêdog, SE Xizang, China); 167–168, female (Mêdog, SE Xizang, China). Arrow indicates inner margin of metatibia in distal portion.
FIGURES 167–168 in Fifteen new species of Chilicola (Oroediscelis) (Hymenoptera: Colletidae: Xeromelissinae) with illustrated keys to the males and females of the subgenus
FIGURES 167–168. Mesoscutum, dorsal view, to show punctation between notalices. 167. uniform in size, similar to those of adjacent region of mesoscutum (C. abrebotellas paratype); 168. with numerous small punctures and few larger ones, the latter more similar in size to those of adjacent region of mesoscutum (C. transversaria).
FIGURES 168–169 in Studies on the Australian Muscidae (Diptera). VIII. The genus Lispe Latreille, 1797
FIGURES 168–169. Lispe esuriens sp. nov. ♀. 168. Head, lateral view. 169. Fore femur and tibia, posterior view. d—dorsal, p—posterior, pv—posteroventral. (Holotype.)
FIGURES 164–168 in A taxonomic revision of the genus Sirthenea (Hemiptera: Heteroptera: Reduviidae) of the Old World
FIGURES 164–168. Hemelytron of Sirthenea flavipes (Stål, 1855): 164—membrane; 165—membrane; 166—membrane; 167—apical part of corium; 168—setae on apical part of corium.
FIGURES 164–168 in Filling the gaps: descriptions of unnamed species included in the latest molecular phylogeny of Pholcidae (Araneae)
FIGURES 164–168. Chibchea spp., male left palpal femora, retrolateral views (164–165), and cleared female genitalia, dorsal views (166–168). 164, 167. C. santosi sp. n. (ZFMK, Ar 20628). 165, 168. C. hamadae sp. n. (ZFMK, Ar 20630). 166. C. amapa sp. n. (ZFMK, Ar 20626). pp, pore plates. Scale lines: 0.2 (femora and cleared epigyna at same scale each).
FIGURES 168–171 in Revision of the genus Amazunculus Rafael (Diptera: Pipunculidae), with description of six new species
FIGURES 168–171. Amazunculus psilalarius sp. nov. Holotype male. 168, Habitus, left lateral view; 169, Antenna; 170, Wing; 171, Holotype labels.
FIGURES 168–171. Barsine spp., male genitalia. 168, B in A review of the Barsine hypoprepioides (Walker, 1862) species-group, with descriptions of fifteen new species and a new subspecies (Lepidoptera, Erebidae, Arctiinae)
FIGURES 168–171. Barsine spp., male genitalia. 168, B. paraprominens, holotype, China, Xizang, prep. Huang; 169, ditto, paratype, China, Xizang, prep. Huang; 170, B. wernerthomasi, holotype, NE India, slide MWM 31791 Volynkin; 171, ditto, paratype, E Nepal, slide MWM 33576 Volynkin.
FIGURE 168.A, D–G in Dryinidae of the Afrotropical region (Hymenoptera, Chrysidoidea)
FIGURE 168.A, D–G: chelae of Gonatopus species. A: G. nearcticus (Fenton), ♀ from Uganda, Serere; D: G. acutus (Olmi), holotype; E: G. amoenus Olmi, holotype; F: G. camposensis Olmi, holotype; G: G. ceballosi Olmi, holotype. B: genitalia of G. nearcticus (Fenton), ♂ from Greece, Pyrgi. C: head in frontal view of G. acutus (Olmi), ♀ from South Africa, The Baths. Scale bar: A, E: 0.09 mm; B: 0.20 mm; C: 0.26 mm; D, G: 0.07 mm; F: 0.08 mm.
FIGURES 167, 168 in Austrocnephia, new genus, for five species of 'Paracnephia' (Diptera: Simuliidae), with a key to Australian black fly genera
FIGURES 167, 168. Austrocnephia tonnoiri female. (167) Cibarium. Paratype. Scale bar = 0.05 mm. (168) Tarsal claws. (Serpentine). Scale bar = 0.02 mm.
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
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.