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528 results for “correspondence”
nal; E', F', internal, G'-J', Pal. 1341 (peripheral 8); G', H', external; I', J', internal; K'-N', Pal. 1343 (peripheral 9); K', L', external; M', N', internal; O'-R', Pal. 1345 (peripheral 10); O', P', external; Q', R', internal; S'-V', Pal. 1348 (peripheral 11); S', T', external; U', V', internal views; W', reconstruction of carapace Thick lines correspond to scute sulci, dotted lines denote plate sutures, and oblique lines indicate missing plate portions. Abbreviations: Ce, cervical; co, costal; Ma, marginal; ne, neural; nu, nuchal; per, peripheral; Pl, pleural; py, pygal; sp, suprapygal; Spr, supracaudal; Ve, vertebral. Scale bars: A-V', 1 cm; W', 2.5 cm. in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic
nal; E', F', internal, G'-J', Pal. 1341 (peripheral 8); G', H', external; I', J', internal; K'-N', Pal. 1343 (peripheral 9); K', L', external; M', N', internal; O'-R', Pal. 1345 (peripheral 10); O', P', external; Q', R', internal; S'-V', Pal. 1348 (peripheral 11); S', T', external; U', V', internal views; W', reconstruction of carapace Thick lines correspond to scute sulci, dotted lines denote plate sutures, and oblique lines indicate missing plate portions. Abbreviations: Ce, cervical; co, costal; Ma, marginal; ne, neural; nu, nuchal; per, peripheral; Pl, pleural; py, pygal; sp, suprapygal; Spr, supracaudal; Ve, vertebral. Scale bars: A-V', 1 cm; W', 2.5 cm.
Highly curated hERG dataset of 8879 unique molecular compounds with corresponding potency values
<p>This dataset was built during a research project, in the field of Computer-Aided Drug Discovery (CADD), funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery grant. The aim of the project was to build descriptor-based machine learning models for hERG cardiotoxicity liability predictions. The dataset includes a total of 8879 unique molecular compounds gathered from ChEMBL and PubChem publicly available bioactivity databases, as well as from literature mining. The list is split into 2 sets, 8380 for training and 499 for testing. All molecular compounds are represented in their SMILE format with their corresponding PIC50 potency values.</p> <p>To access the full original work, please visit the following link: <a href="https://arxiv.org/abs/2112.13467">Manuscript</a></p> <p><strong>Note:</strong> Upon usage of this data, kindly cite the original manuscript describing the curation process:<br><br>Arab, Issar, and Khaled Barakat. "ToxTree: descriptor-based machine learning models for both hERG and Nav1. 5 cardiotoxicity liability predictions." <em>arXiv preprint arXiv:2112.13467</em> (2021).</p> <p> </p> <p><strong>Refer to our latest manually curated and a much larger dataset here: <a href="../record/8359714">link</a> </strong></p>
Highly curated Nav1.5 dataset of 1723 unique molecular compounds with corresponding potency values
<p>This dataset was built during a research project, in the field of Computer-Aided Drug Discovery (CADD), funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery grant. The aim of the project was to build descriptor-based machine learning models for Nav1.5 cardiotoxicity liability predictions. The dataset includes a total of 1723 unique molecular compounds gathered from ChEMBL and PubChem publicly available bioactivity databases. The list is split into 2 sets, 1550 for training and 173 for testing. All molecular compounds are represented in their SMILE format with their corresponding PIC50 potency values.</p> <p>To access the full original work, please visit the following link: <a href="https://arxiv.org/abs/2112.13467">Manuscript</a> <br><strong>Refer to a much larger and latest dataset here: <a href="../record/8359714">link</a> </strong></p> <p><br><strong>Note:</strong> Upon usage of this data, kindly cite both the dataset and the original manuscript describing the curation process as written below.<br><br><em>Arab I, Barakat K. ToxTree: Descriptor-based machine learning models for both hERG and Nav1. 5 cardiotoxicity liability predictions. arXiv preprint arXiv:2112.13467. 2021</em></p> <p><em>Arab, Issar, & Barakat, Khaled. (2021). Highly curated Nav1.5 dataset of 1723 unique molecular compounds with corresponding potency values [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5807731</em></p>
Simulated data for Correspondence on NanoVar's performance outlined by Jiang T. et al.
<p>Simulated data were generated as described by Jiang et al. 2021 with several modifications due to the encountering of errors. Please refer to https://github.com/cytham/nv_benchmark_jiang/blob/main/commands.md for the commands to replicate the analysis.</p>
Corpus of Early English Correspondence Extension Sampler part 1 (CEECES 1)
<p>The <em>Corpus of Early English Correspondence Extension Sampler</em> part 1 (CEECES 1) is the first public release from the 18th-century part of the <em>Corpora of Early English Correspondence</em> (CEEC-400).</p> <p>The CEECES 1 forms one part of the full CEECES. The other parts, both released 11 April 2022, are the <a href="https://www.doi.org/10.5281/zenodo.5887101">CEECES part 2</a> and the <a href="https://www.doi.org/10.5281/zenodo.5887231">TCEECES</a>.</p> <p>The CEECES 1 was originally released in April 2021; this <strong>new version</strong> (11 April 2022) contains the <strong>exact same data</strong> (corpus files and supporting metadata), only</p> <ol> <li>the new zip file has been cleaned of macOS metafiles (__MACOSX and .DS_Store files),</li> <li>the manual has been updated,</li> <li>the metadata is now provided as a tsv file and a MS Excel file, and</li> <li>a key to the metadata has been included in the bundle.</li> </ol> <p>See the accompanying manual for more information on the CEECES 1; see the manuals for the CEECES 2 and the TCEECES for more information on the CEECES. See <a href="https://varieng.helsinki.fi/CoRD/corpora/CEEC/">https://varieng.helsinki.fi/CoRD/corpora/CEEC/ </a>for more on the CEEC-400.</p> <p>Citation:</p> <p>CEECES 1 = <em>Corpus of Early English Correspondence Extension Sampler</em> part 1. Compiled by Terttu Nevalainen, Helena Raumolin-Brunberg, Samuli Kaislaniemi, Mikko Laitinen, Minna Nevala, Arja Nurmi, Minna Palander-Collin, Tanja Säily and Anni Sairio at the Department of Languages, University of Helsinki. XML conversion and encoding by Lassi Saario. Helsinki: VARIENG, 2021.</p> <p> </p> <p><strong>Version history:</strong></p> <p>1.4.2021 Version 1 – First release of corpus texts, metadata, and manual.</p> <p>11.4.2022 Version 2 – Second release, to coincide with the release of CEECES 2 and TCEECES. Zip file cleaned, manual updated.</p>
An experimental data set for analysis of the thermophysical behavior of a single-story mechanically ventilated double-skin façade (DSF) in fixed boundary conditions corresponding to winter/mid-season and summer cases
<p>Double-skin facades (DSFs) are dynamic and flexible building envelopes that employ a ventilated cavity to either prevent or reduce the solar-induced cooling load or exploit solar energy for passive solar heating. The mechanical ventilation of the cavity offers higher flexibility and control than natural ventilation, as the latter largely depends on stochastic and unpredictable external conditions. Furthermore, when mechanical ventilation rates are combined with the operation of a shading device, the possibilities for controlling the accumulated heat in the cavity of the DSF increase further. Therefore, this experimental campaign systematically investigates how these two important features interact in controlling the cavity's thermal load and airflow conditions. The measurement collected during the experiments constitutes a dataset that contains the results of a series of experimental runs where the different configurations of DSF, in terms of mechanical ventilation rate and venetian blinds, have been subjected to two representative boundary conditions through a climate simulator facility equipped with a solar simulator device. The full-scale DSF mock-up, which includes venetian blinds installed in a 200 mm ventilated cavity, is operated in this experiment in two modes: outdoor air curtain (OAC) and supply air (SA) mode. Tests were carried out under a steady-state regime with different boundary conditions. For the analysis of the utilization of the excess heat accumulated in the cavity and prevention of DSF overheating, boundary conditions corresponding to g-value calculations were selected. For the analysis of air preheating in the DSF cavity, the boundary conditions corresponding to late winter/mid-season weather (cold outdoor air and low-to-moderate solar irradiance) were chosen. The entire set of experimental data collected during the tests is made publicly available to enable the scientific community to access experimental data to further analyze this problem or for model validation purposes. The data set supplements the open-access paper entitled "<strong>Control of heat transfer in single-story mechanically ventilated facades</strong>" (<a href="https://doi.org/10.1016/j.enbuild.2022.112304">https://doi.org/10.1016/j.enbuild.2022.112304</a>), where additional information about the aims of the experiments, the detailed methods, and other data processing procedures can be found. The database is supported by a guide ("Guide.pdf"), where further explanations about how to read data and schematic drawings of the sensor layout are provided. The collection of experimental tests is divided into two files, according to two considered cases:</p> <ul> <li><strong>DSF operating in outdoor air curtain mode </strong>(24 steady-state measurements). The following factors were changed: mechanical ventilation rate (0, 10, 15, 20, 30, 40, 50, and 100 % of maximum fan power) and venetian blind configuration (closed θ=0 º, semi-open θ=45 º, and raised blinds). The outdoor and indoor temperatures, 30 ℃ and 25 ℃, and solar irradiance of 500 Wm<sup>-2</sup> were replicated. [file name: "Summer.csv"],</li> <li><strong>DSF operating in supply air mode</strong> (27 steady-state measurements). The following factors were changed: mechanical ventilation rate (0, 10, 15, 20, 30, 40, 50, 75, and 100 % of maximum fan power) and venetian blind configuration (closed θ=0 º, semi-open θ=45 º, and raised blinds). The outdoor and indoor temperatures, 10 ℃ and 25 ℃, and solar irradiance of 300 Wm<sup>-2</sup> were replicated. [file name: " Winter_MidSeason.csv"]</li> </ul> <p>Any inquiries about the experimental data can be sent to: <a href="mailto:aleksandar.jankovic@ntnu.no">aleksandar.jankovic@ntnu.no</a></p> <p>The activities presented in this paper were carried out within the research project "REsponsive, INtegrated, VENTilated - REINVENT – windows," supported by the Research Council of Norway through the research grant 262198, and the partners SINTEF, Hydro Extruded Solutions, Politecnico di Torino and Aalto University.</p>
Secondary Data: Measuring Person-centred Care in German Nursing Homes – Exploring Construct Validity of the Dementia Policy Questionnaire using Adjusted Multiple Correspondence Analysis
<p>This is the secondary data set and R-Code of R statistical software (version 4.0.4) to explore construct validity of the German Dementia Policy Questionnaire using Adjusted Multiple Correspondence Analysis.</p>
Corresponding Dataset for Gravity Field of Ganymede after the Juno Extended Mission
<p>Corresponding Dataset for Gravity Field of Ganymede after the Juno Extended Mission</p> <p> Luis Gomez Casajus August 2, 2022</p> <p>=============================================================================<br> Introduction<br> =============================================================================</p> <p> This dataset contains the estimated gravity field and its corresponding<br> full covariance matrix. This dataset is provided in order to <br> supplement the submitted article to the "Geophysical Research Letters"<br> journal:</p> <p> Gravity Field of Ganymede after the Juno Extended Mission.<br> L. Gomez Casajus (*), A. I. Ermakov, M. Zannoni, J. T. Keane, <br> D. Stevenson, D. R.Buccino, D. Durante, M. Parisi, R. S. Park, <br> P. Tortora and S. J. Bolton<br> <br> - (*) luis.gomezcasajus@unibo.it</p> <p>=============================================================================<br> File description<br> =============================================================================</p> <p> This archive contains two files within the root directory.<br> <br> ROOT<br> -SOI_gravity_field.txt</p> <p> This file contains the estimated normalized spherical harmonics <br> coefficients of the Ganymede gravity field.<br> The file contains a header row which provides a description of <br> the file.</p> <p> -SOI_cov_matrix.txt</p> <p> This file contains the estimated full covariance matrix (32x32) <br> of the normalized spherical harmonics coefficients of the <br> Ganymede gravity field. The file contains a header row which <br> provides a description of the file. The matrix is represented as<br> a 2 dimensional array whose coefficients follow the following <br> order scheme: C20 C21 S21 C22 S22 C30 C31 ...</p> <p>=============================================================================<br> ACKNOWLEDGMENTS<br> =============================================================================</p> <p> The authors are grateful to William Folkner, to the entire Solar System <br> Dynamics Group and to Robert Haw, former Galileo navigator, for the useful <br> discussions and suggestions regarding the procedures for Galileo data <br> analysis. L.G.C., M.Z., and P.T. are grateful to the Italian Space Agency <br> (ASI) for financial support through Agreement No. 2017-40-H.1-2020, and its <br> extension2017-40-H.02020-13-HH.0, for ESA’s BepiColombo and NASA’s Juno radio<br> science experiments. L.G.C., M.Z., and P.T. acknowledge Caltech and the Jet <br> Propulsion Laboratory for granting the University of Bologna a license to an <br> executable version of MONTE Project Edition S/W. JTK and AIE acknowledge <br> support from the Juno participating scientist program. The work of RP, DB, <br> JTK, and MP was carried out at the Jet Propulsion Lab, California Institute<br> of Technology, under a contract with the National Aeronautics and Space <br> Administration (80NM0018D0004). Government sponsorship acknowledged. </p>
Data from: Increasing tidal inundation corresponds to rising porewater nutrient concentrations in a southeastern U.S. salt marsh
<p>Salt marshes are ecologically and economically important features of coastal environments that are vulnerable to sea level rise, the rate of which has accelerated in recent decades along the southeastern US Atlantic coast. Increased flooding frequency and duration across the marsh platform is predicted to impact vegetation community structure and overall marsh persistence, but the effect of changing inundation patterns on biogeochemical processes in marsh sediments remains largely unexplored. As part of a long-term monitoring effort to assess how marshes are responding to sea level rise in North Inlet estuary (South Carolina, USA), we collected data on porewater nutrient concentrations from a series of permanent monitoring plots across multiple transects spanning the marsh elevation gradient during the growing season from 2009 to 2019. Additionally, we calculated time inundated for each plot using local water level data and high-resolution elevation measurements to assess the change in time flooded at each plot. Our results indicate that both NH<sub>4</sub> and PO<sub>4</sub> nutrient concentrations have increased in most permanent plots over the 11-year study period and that nutrient concentrations are higher with increasing proximity to the creek. Spatial patterns in nutrient increases through time are coincident with considerable increases in tidal inundation observed over the marsh platform. Across plots located in the low marsh, porewater NH<sub>4</sub> and PO<sub>4</sub> concentrations have risen at average rates of 8.96 µM/year and 0.86 µM/year, respectively, and have reached rates as high as 27.25 µM/year and 3.13 µM/year. We suggest that increased inundation time due to rising sea level has altered biogeochemical conditions influencing nutrient availability in marsh porewater, resulting in increases that likely have relevance for larger scale nutrient cycles as well as marsh ecosystem stability and function.</p>
Text-fig. 7. Geology of the Muaredzi-Muanza sector of the Cheringoma Plateau showing the location of fossil occurrences. White stars – fossiliferous localities mapped by Pickford (2012, 2013), Black stars – fossil sites mapped by Habermann et al. (2019) and d'Oliveira Coelho et al. (2021) (GPL 12 and GPL 12b correspond to the White Patch sites). TTI – Cheringoma Formation, TTs1 – Mazamba Formation, TTs1a – Palaeopan facies, TTs2 – Inhaminga Formation, Qc – Quaternary sediments. The base map is modified from Google Earth. in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 7. Geology of the Muaredzi-Muanza sector of the Cheringoma Plateau showing the location of fossil occurrences. White stars – fossiliferous localities mapped by Pickford (2012, 2013), Black stars – fossil sites mapped by Habermann et al. (2019) and d'Oliveira Coelho et al. (2021) (GPL 12 and GPL 12b correspond to the White Patch sites). TTI – Cheringoma Formation, TTs1 – Mazamba Formation, TTs1a – Palaeopan facies, TTs2 – Inhaminga Formation, Qc – Quaternary sediments. The base map is modified from Google Earth.
Рис. 8. A – Директор Зоологического института академик Е.Н. Павловский и Зам. директора института О.А. Скарлато в кабинете директора ЗИНа. 1963 г. Архив С.О. Скарлато; B – Директор Зоологического института член-корр. АН СССР О.А. Скарлато в кабинете директора ЗИНа. НоЯбрь 1990 г. Архив С.О. Скарлато. Fig. 8. A – Director of the Zoological Institute, Academician E.N. Pavlovsky and Deputy Director of the Institute O.A. Scarlato in the Director's Office. 1963. Archive of S.O. Scarlato; B – Director of the Zoological Institute, Corresponding Member O.A. Scarlato in the Director's Office. November 1990. Archive of S.O. Scarlato. in Orest A. Scarlato - scientist and organizer of science: on the 100th anniversary of his birth (1920-1994)
Рис. 8. A – Директор Зоологического института академик Е.Н. Павловский и Зам. директора института О.А. Скарлато в кабинете директора ЗИНа. 1963 г. Архив С.О. Скарлато; B – Директор Зоологического института член-корр. АН СССР О.А. Скарлато в кабинете директора ЗИНа. НоЯбрь 1990 г. Архив С.О. Скарлато. Fig. 8. A – Director of the Zoological Institute, Academician E.N. Pavlovsky and Deputy Director of the Institute O.A. Scarlato in the Director's Office. 1963. Archive of S.O. Scarlato; B – Director of the Zoological Institute, Corresponding Member O.A. Scarlato in the Director's Office. November 1990. Archive of S.O. Scarlato.
Fig. 2 in Botanical geography correspondence between Alexander von Humboldt and Filippo Parlatore (1851-1852)
Fig. 2 - Alexander von Humboldt in his studio (1848). Lithograph by J. Bardtenschlager from a watercolor by Eduard Hildebrandt. / Alexander von Humboldt nel suo studio (1848). Litografia di J. Bardtenschlager da un acquerello di Eduard Hildebrandt. 32,30 cm x 41,80 cm. Inv.-Nr.: HU 01/8 DR. © Courtesy of Stiftung Stadtmuseum Berlin.
Fig. 3 - Parkinsonia aculeata L in Botanical geography correspondence between Alexander von Humboldt and Filippo Parlatore (1851-1852)
Fig. 3 - Parkinsonia aculeata L. (Fabaceae). American species collected in 1832 at Matamoros (Chihuahua, Mexico) by the FrancoMexican botanist J.-L. Berlandier (courtesy of the Department of Botany in the Natural History Museum of the University of Florence). / Parkinsonia aculeata L. (Fabaceae). Specie americana raccolta nel 1832 presso Matamoros (Chihuahua, Messico) dal botanico francomessicano J.-L. Berlandier (per gentile concessione del Dipartimento di Botanica del Museo di Storia Naturale dell'Università di Firenze).
Fig. 7 - Polemonium caeruleum L in Botanical geography correspondence between Alexander von Humboldt and Filippo Parlatore (1851-1852)
Fig. 7 - Polemonium caeruleum L. (Polemoniaceae). Arctic-Alpine plant collected in Sweden (Jämtland County) by J. Emanuel Wikström in 1844 (courtesy of the Department of Botany in the Natural History Museum of the University of Florence). / Polemonium caeruleum L. (Polemoniaceae). Pianta artico-alpina (raccolta in Svezia (Contea di Jämtland) da J. Emanuel Wikström nel 1844 (per gentile concessione del Dipartimento di Botanica del Museo di Storia Naturale dell'Università di Firenze).
Fig. 6 - Erigeron alpinus L in Botanical geography correspondence between Alexander von Humboldt and Filippo Parlatore (1851-1852)
Fig. 6 - Erigeron alpinus L. (Asteraceae). Italian collection of brothers A. and C. Perini made in Trentino, plant received by Parlatore in September 1844 (courtesy of the Department of Botany in the Natural History Museum of the University of Florence). / Erigeron alpinus L. (Asteraceae). Raccolta italiana dei fratelli A. e C. Perini effettuata in Trentino, pianta ricevuta da Parlatore nel Settembre del 1844 (per gentile concessione del Dipartimento di Botanica del Museo di Storia Naturale dell'Università di Firenze).
Fig. 1 in Botanical geography correspondence between Alexander von Humboldt and Filippo Parlatore (1851-1852)
Fig. 1 - Filippo Parlatore (1816-1877) in a photographic portrait by Gustavo Matucci (187?). Handwritten title on the recto, where the following note also appears: R. Tod. [Todaro Collection]. Mounted on 165 x 105 mm cardboard. 1 photo: albumin; 137 x 97 mm. University of Padua. Library of the Botanical Garden (IB.FF.8). Creative Commons license CC BY-NC-SA 4.0. / Filippo Parlatore (1816-1877) in un ritratto fotografico di Gustavo Matucci (187?). Titolo manoscritto sul recto, dove compare anche la nota: R. Tod. [Raccolta Todaro]. Montata su cartoncino 165 x 105 mm. 1 fotografia: albumina; 137 x 97 mm. Università di Padova. Biblioteca dell'Orto Botanico (IB.FF.8). Licenza Creative Commons CC BY-NC-SA 4.0.
Fig. 4 - Abrus precatorius L in Botanical geography correspondence between Alexander von Humboldt and Filippo Parlatore (1851-1852)
Fig. 4 - Abrus precatorius L. (Fabaceae). Plant with colored seeds for tribal use (necklaces, rosaries), collected in Java in 1845 by the Swiss naturalist Alexander Moritzi (courtesy of the Department of Botany in the Natural History Museum of the University of Florence). / Abrus precatorius L. (Fabaceae). Pianta con semi colorati d'uso tribale (collane, rosari), raccolta a Giava nel 1845 dal naturalista svizzero Alexander Moritzi (per gentile concessione del Dipartimento di Botanica del Museo di Storia Naturale dell'Università di Firenze).
Fig. 8 - Stellaria media L in Botanical geography correspondence between Alexander von Humboldt and Filippo Parlatore (1851-1852)
Fig. 8 - Stellaria media L. (Caryophyllaceae). Annual sub-cosmopolitan of Eurasian origin collected in Val Polcevera (Genoa) in 1842 (courtesy of the Department of Botany in the Natural History Museum of the University of Florence). / Stellaria media L. (Caryophyllaceae). Annuale subcosmopolita di origine eurasiatica raccolta in Val Polcevera (Genova) nel 1842 (per gentile concessione del Dipartimento di Botanica del Museo di Storia Naturale dell'Università di Firenze).
Fig. 9 - Silene acaulis L in Botanical geography correspondence between Alexander von Humboldt and Filippo Parlatore (1851-1852)
Fig. 9 - Silene acaulis L. Circum-arctic-alpine herbaceous species typical of the high altitude pioneer clods, collected by Parlatore on the edge of the Mer de Glace in the Mount Blanc Alpine range in 1849 (courtesy of the Department of Botany in the Natural History Museum of the University of Florence). / Silene acaulis L. Specie erbacea circum-artico-alpina propria delle zolle pioniere d'alta quota, raccolta da Parlatore ai margini della Mer de Glace nella catena alpina del Monte Bianco nel 1849 (per gentile concessione del Dipartimento di Botanica del Museo di Storia Naturale dell'Università di Firenze).
Figure 3 in Public risk perceptions associated with Asian carp introduction and corresponding response actions
Figure 3. The proportion of participants perceiving risk associated with eleven different management responses to a potential invasion of Asian carp in Michigan as being low, medium or high risk, 2017 (n = 2,788).
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.