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.
8,038
datasets available to search
ShareScore release 0.9.0
Dataset results
8,038 results for “Validity”
FIGURE 7 Vanmanenia pingchowensis, IHB2017122224, 91.3 in Vanmanenia intermedia Fang, 1935, a valid hill-stream species of loach (Teleostei Gastromyzontidae) from the middle Yangtze River basin, Southwest China
FIGURE 7 Vanmanenia pingchowensis, IHB2017122224, 91.3mm SL, Xi-Jiang of Pearl River basin at Pingtang County, Guizhou Province, China. Lateral (a), dorsal (b) and ventral (c) views of body. Scale bar = 1 cm.
FIGURE 6 in Vanmanenia intermedia Fang, 1935, a valid hill-stream species of loach (Teleostei Gastromyzontidae) from the middle Yangtze River basin, Southwest China
FIGURE 6. Map showing collection localities of nine species of Vanmanenia involved in molecular biology studies. The names of rivers and lakes are italicized and two provincial capitals (Wuhan and Guiyang) highlighted.
FIGURE 5 in Vanmanenia intermedia Fang, 1935, a valid hill-stream species of loach (Teleostei Gastromyzontidae) from the middle Yangtze River basin, Southwest China
FIGURE 5. Internasal width (IW) and head width (HW) of two species of Vanmanenia: (a) V. intermedia, IHB2017121983, 91.3mm SL,Yuan-Jiang of the middle Yangtze River basin, at Duyun City, Guizhou Province, China; (b) V. maculata, IHB2006064914, 64.1mm SL,Qing-Jiang of the middle Yangtze River basin, at Jianshi County, Hubei Province, China.
FIGURE 2. Vanmanenia intermedia, IHB2017121983, 91.3 in Vanmanenia intermedia Fang, 1935, a valid hill-stream species of loach (Teleostei Gastromyzontidae) from the middle Yangtze River basin, Southwest China
FIGURE 2. Vanmanenia intermedia, IHB2017121983, 91.3 mm SL, Yuan-Jiang of the middle Yangtze River basin, at Duyun City, Guizhou Province, China. Lateral (a), dorsal (b) and ventral (c) views of body. Scale bar = 1 cm.
FIGURE 1 in The valid nomen for the tree frog (genus Hyla) of Tunisia and Eastern Algeria
FIGURE 1. Distribution of Hyla meridionalis (yellow) and Hyla carthaginiensis (red). For each, the type localities of proposed nomina are shown by stars (large: oldest available; small: junior synonym and/or unavailable), with their order of priority listed in the inset. The exact origin of the Hyla africana holotype was not documented, but historical DNA barcoding indicated genetic similarities with pupulations from Morocco and the introduced ranges, corresponding to H. meridionalis (Dufresnes et al. 2019). Photo credits: CD (Hyla meridionalis from France) and Spartak Litvinchuk (Hyla carthaginiensis from Tunisia).
FIGURE 6 in Re-description of two spiny clam shrimps (Crustacea: Branchiopoda: Spinicaudata) of the Indian subcontinent from Daday de Dees's collection at MNHN with new insights on the validity of Eulimnadia compressa (Baird, 1860) and Eulimnadia chaperi (Simon, 1886)
FIGURE 6. Comparison of Egg of Eulimnadia chaperi (Simon, 1886) and Eulimnadia magdalenensis Roessler, 1990. A, D & G, egg morphology and internal egg morphology of E. chaperi. B, E & H, E. magdalenensis from Angkor, Cambodia. C, F & I, E. magdalenensis from Cabo Branco, Brazil. Scale bars: A, B, C: 100 µm; D, E, F: 10 µm; G, H, I: 5 µm.
Data from: Development and validation of a core genome multilocus sequence typing (cgMLST) scheme for Klebsiella oxytoca
<p>The dataset hereby shared contains the genomes used to create and validate a newly proposed schema for <i>Klebsiella oxytoca.</i> </p><p>As reference dataset, all publicly available <i>K. oxytoca</i> draft and complete genomes (199) were downloaded from RefSeq in NCBI database in September 2021. All assemblies were filtered by quality and identification methods in order to remove highly fragmented genomes (more than 200 contigs) and genomes that did not correspond to <i>K. oxytoca sensu stricto</i>. A series of assemblies, including complete and draft genomes, were removed because they (i) did not correspond to <i>K. oxytoca</i> species based on MLST or rMLST, and because they (ii) produced ANI values lower than 96% against <i>K. oxytoca</i>. Apart from some genomes that had no correspondence to<i> K. oxytoca,</i> several others were discarded because they did not correspond to <i>K. oxytoca </i>species sensu stricto, but other closely related species included in the <i>K. oxytoca </i>species complex, such as <i>K. michiganensis</i> or <i>K. grimontii.</i> Additional identification of blaOXY gene variants supported this observation. Finally, genomes that had not been assigned an assigned ST were also removed, since they would not contribute to the schema validation. Therefore, the final dataset consisted in 16 high-quality complete genomes of <i>K. oxytoca sensu stricto. </i></p><p> </p>
Experimental Validation video for paper "An Efficient Architecture Fulfilling Safety"
<p>The video shows the experimental validation. Further details can be found in the manuscript.</p>
FIGURE 3 in Validity of Bartram's Painted Vulture (Aves: Cathartidae)
FIGURE 3. William Bartram's original portrait of Mico Chlucco, the Long Warrior or King of the Muscogulges, evidently dates from 1786 and was a response to a request from his publishers to provide a frontispiece for his immortal Travels, which finally appeared in 1791. The portrait could have been produced either from memory or, perhaps much more likely from some earlier version in his field notes, which have been lost or no longer exist. The fan of feathers attached to a wand on the right side of the portrait is believed to be the "royal standard" described in his Travels by Bartram and composed of the tail feathers of his Painted Vulture. The version of this portrait that appeared in 1791 was an engraving by Trenchard that differs in a number of respects, including number and appearance of feathers in the royal standard. Presumably the original version seen here is the most accurate in detailed appearance of the feathers.
FIGURE 3 in Morphological, biogeographical and molecular evidence of Carpocoris mediterraneus as a valid species (Hemiptera: Pentatomidae)
FIGURE 3. Antero-dorsal views of A) C. fuscispinus. B) C. mediterraneus atlanticus. Red arrows indicates a more pronounced concavity of the anterolateral margin of the pronotum in C. mediterraneus atlanticus. The posterolateral margin is more convex in C. fuscispinus. Hence, the convexity (shown by green lines) further exceeds in C. fuscispinus the red line drawn between the humeral angle of the pronotum and the humeral angle of the scutellum. The distance between the anterior margin of the pronotum and the dotted red line, drawn between the humeral angles, is shorter in C. fuscispinus (usually less than a third of the length of pronotum).
FIGURE 1 in Morphological, biogeographical and molecular evidence of Carpocoris mediterraneus as a valid species (Hemiptera: Pentatomidae)
FIGURE 1. European distribution of Carpocoris fuscispinus (Boheman, 1851) according to Tamanini (1959). The shaded part represents the area where the species was found. Question marks from Tamanini where the distribution was questionable.
FIGURE 3 in Taxonomic review of Thoracostomopsidae (Nematoda, Enoplida): state of the art, list of valid species and dichotomous keys
FIGURE 3. Diagnostic key to species of Epacanthion based on the morphology of adult males. 1: Spicules length <2 abd; 2: Spicules length> 2 abd; 3: Setae at pharyngeal region distinctly short and densely arranged, forming a circle (cervical circle); 4: Setae at pharyngeal region equal or similar in length; 5: Cervical circle posterior to nerve ring; 6: Cervical circle anterior to or at the same level of nerve ring; 7: Setae in cervical circle clustered into bundles; 8: Setae in cervical circle in a line or a band; 9: Cervical circle composed of 18 bundles; 10: Cervical circle composed of 16 bundles; 11: Setae in a line; 12: Setae in a band; 13: Cervical circle at the same level of nerve ring; 14: Cervical circle anterior to nerve ring; 15: Precloacal supplement present; 16: Precloacal supplement absent; 17: Only one precloacal supplement; 18: Several precloacal supplements; 19: Terminal setae present; 20: Terminal setae absent; 21: Three terminal setae; 22: Two terminal setae; 23: Gubernaculum present; 24: Gubernaculum absent or reduced; 25: Body length 1.3–1.5 mm, tail 10 abd long; 26: Body length> 5 mm, tail 4.2–5.4 abd long; 27: Mandible length equal to width; 28: Mandible length much shorter than width; 29: Mandible length longer than width; 30: Mandible length shorter than width; 31: Nine tubular precloacal supplements; 32: 14–17 setose precloacal supplements; 33: Setae sparse at pharyngeal region; 34: Numerous subcephalic and cervical setae; 35: Setae scattered, gubernaculum present; 36: Setae in four circles, gubernaculum absent; 37: Spicules <3.5 abd, without annulations; 38: Spicules> 3.5 abd, with annulations; 39: Spicules length 2–2.5 abd; 40: Spicules length 3–3.5 abd; 41: Body length ca. 2 mm, tail 5 abd long; 42: Body length> 8 mm, tail 1.8–2.4 abd long; 43: Spicules length <8 abd; 44: Spicules length> 8 abd; 45: Gubernaculum absent; 46: Gubernaculum present; 47: Spicules unequal in length; 48: Spicules equal in length; 49: Body length> 4 mm, inner labial setae 40 μm long; 50: Body length 2.9–3.1 mm, inner labial setae 28 μm long; 51: Tail with> 10 setae; 52: Tail with only 2 setae.
FIGURE 8a–c in Coenura Bigot as a valid genus: A molecular and morphological phylogenetic analysis of Pelecorhynchus Macquart sensu lato (Diptera: Pelecorhynchidae)
FIGURE 8a–c. Antenna in lateral view. a. Coenura longicauda Bigot female. b. Pelecorhynchus personatus (Walker) female. c. "Pelecorhynchus" fulvus Ricardo female © Cornell University Insect Collection, Ithaca (USA) (scale bar = 1.0 mm). Abbreviations. fflg = first flagellomere, flag = flagellomere, pe = pedicele, sp = scape.
Analytical Validation of Aptamer-Based Serum Vancomycin Monitoring Relative to Automated Immunoassays
<p>***ABSTRACT***</p> <p>_________________________</p> <p>The practice of monitoring therapeutic drug concentrations in patient biofluids can significantly improve clinical outcomes while simultaneously minimizing adverse side effects. A model example of this practice is vancomycin dosing in intensive care units. If dosed correctly, vancomycin can effectively treat methicillin-resistant staphylococcus aureus (MRSA) infections. However, it can also induce nephrotoxicity or fail to kill the bacteria if dosed too high or low, respectively. Although undeniably important to achieve effectiveness, therapeutic drug monitoring remains inconvenient in practice, due primarily to the lengthy process of sample collection, transport to a centralized facility, and analysis using costly instrumentation. Adding to this workflow is the possibility of backlogs at centralized clinical laboratories, which is not uncommon and may result in additional delays between biofluid sampling and concentration measurement, which can negatively affect clinical outcomes. Here we explore the possibility of using point-of-care, electrochemical aptamer-based (E-AB) sensors to minimize the time delay between biofluid sampling and drug measurement. Specifically, we conducted a clinical agreement study comparing the measurement outcomes of E-AB sensors to the benchmark automated competitive immunoassays for vancomycin monitoring in serum. Our results demonstrate that E-ABs are selective for free vancomycin—the active form of the drug—over total vancomycin. In contrast, competitive immunoassays measure total vancomycin, including both protein-bound and free drug. Accounting for these differences in a pilot study consisting of 85 clinical samples, we demonstrate that the E-AB vancomycin measurement achieved a 95% positive correlation rate with the benchmark immunoassays. Therefore, we conclude that E-AB sensors could provide clinically useful stratification of patient samples at trough sampling to guide effective vancomycin dose recommendations.</p> <p> </p> <p>***README FILE ***</p> <p>_________________________</p> <div>Project: Analytical Validation of Aptamer-Based Serum Vancomycin Monitoring Relative to Automated Immunoassays</div> <div>Date Accepted: December 5th, 2023</div> <div>DOI: </div> <div>Contact: Netz Arroyo, netzarroyo@jhmi.edu</div> <div> </div> <div>ORGANIZATION</div> <div> </div> <div>All files in this repository are sorted based on their corresponding figure in the associated manuscript</div> <div>and supplementary information document (both found at DOI above). Organization and files found in each figure folder </div> <div>are as follows:</div> <div> </div> <div>- 'Figure_1':</div> <div>- Final .svg image for Figure 1.</div> <div> </div> <div>- 'Figure_2':</div> <div>-"Figure_2.png"</div> <div>- PNG image of Figure 2. Figure panels were generated as detailed in the following entries. Figure was compiled in Adobe Illustrator. </div> <div>-"swv trace.svg"</div> <div>- SVG file for Panel C. Generated using Igor Pro v8 from data in file "SWV Traces.pxp".</div> <div>-"ON&OFF.svg"</div> <div>- SVG file for Panel D . Generated using Igor Pro v8 from data in file "Signal ON&OFF.pxp". </div> <div>-"ratio box whisker plot.svg"</div> <div>- SVG file for Panel E. Generated using Igor Pro v8. </div> <div>-"calibration.svg"</div> <div>- SVG file for Panel F. Generated using Igor Pro v8. </div> <div>-Data: "SWV Traces.xlsx"</div> <div>"SWV Traces.csv"</div> <div>"SWV Traces.pxp" </div> <div>Data was obtained from sheet "SWV curves" of Excel file "ZiO-JHU_March 2023_Data processing Updates" recieved 10:37 EST, June 2 2023, from Yu Liu. </div> <div>Data was used as recieved, and imported to Igor Pro v8 for plotting. Data in all files are identical, except for file format.</div> <div>-Data: "Signal ON&OFF.xlsx"</div> <div>"Signal ON&OFF.csv"</div> <div>"Signal ON&OFF.pxp" </div> <div>Data was obtained from sheet "signal-on&signal-off" of Excel file "ZiO-JHU_March 2023_Data processing Updates" recieved 10:37 EST, June 2 2023, from Yu Liu. </div> <div>Data was used as recieved, and imported to Igor Pro v8 for plotting. Data in all files are identical, except for file format. Regression to the Hill equation</div> <div>was performed in Igor Pro v8, constraining rate=1.</div> <div>-Data: "Dose response curve box plot.xlsx"</div> <div>"Dose response curve box plot.csv"</div> <div>"Dose response curve box plot.pxp" </div> <div>Data was obtained from sheet "Curve fitting_Ratio(SUM_MEA)" of Excel file "ZiO-JHU_March 2023_Data processing Updates" recieved 10:37 EST, June 2 2023, from Yu Liu. </div> <div>Data was used as recieved, and imported to Igor Pro v8 for plotting. Data in all files are identical, except for file format. Box and whisker plot was generated using</div> <div>Igor Pro v8.</div> <div>-Data: "Day1-Day6 Dose Response Curve.xlsx"</div> <div>"Day1-Day6 Dose Response Curve.csv"</div> <div>"Day1-Day6 Dose Response Curve.pxp" </div> <div>Data was obtained from sheet "Curve fitting_Ratio(SUM_MEA)" of Excel file "ZiO-JHU_March 2023_Data processing Updates" recieved 10:37 EST, June 2 2023, from Yu Liu. </div> <div>Data was used as recieved, and imported to Igor Pro v8 for plotting. Data in all files are identical, except for file format. Nonlinear regression to the Hill equation</div> <div>was generated using Igor Pro v8. No variables were constrained.</div> <div> </div> <div>-'Figure_3':</div> <div>- DATA FOR FIGURE 3 WAS OBTAINED FROM THE "Ratiometric response" SHEET OF THE FILE "Confidential_ZiO Health Stability Test Data" RECIEVED 12:08, NOVEMBER 8 2023, FROM FRANCESCA NAPOLI.</div> <div>- DATA FROM FIELDS "Average response to 12.5 mg/L for chips tested in specific week" AND "SD response to 12.5 mg/L for chips tested in specific week" (ROWS 39 AND 40) , WITH ASSOCIATED TIMEPOINT IDENTIFIERS, WERE EXTRACTED AND USED AS RECIEVED</div> <div>- IN ROWS 41 AND 42, DATA FROM THE 0.1 MG/L CONCENTRATION POINT (ROW 13) WAS EXCTRACTED AND PROCESSED IN THE SAME WAY AS "Average response to 12.5 mg/L for chips tested in specific week" AND "SD response to 12.5 mg/L for chips tested in specific week" (I.E, AVERAGE AND STANDARD DEVIATION OF THREE OR FOUR CHIPS PER WEEK)</div> <div>- TIMEPOINT IDENTIFIERS WERE CONVERTED TO NUMERIC AND GIVEN THE TITLE "Time" and UNIT "Weeks"</div> <div>- FIELD "Average response to 12.5 mg/L for chips tested in specific week" WAS TITLED "12.5 mg/L Sensor response ratio" AND GIVEN UNIT "360Hz/20Hz"</div> <div>- FIELD "SD response to 12.5 mg/L for chips tested in specific week" WAS TITLED "12.5 mg/L SD" AND GIVEN UNIT "360Hz/20Hz"</div> <div>- THE SAME WAS DONE FOR THE 0.1 MG/l CONCENTRATION DATA</div> <div>- DATA FILE USED FOR MAKING THE FIGURE IS "2023_11_08_Chip_Stability.pxp"</div> <div>- BOTH O.1 MG/L AND 12.5 MG/L WERE SUBJECTED TO LINEAR REGRESSION ANALYSIS IN IGOR V8</div> <div> </div> <div>-'Figure_4':</div> <div>- Final PNG image for Figure 4.</div> <div> </div> <div>-'Figure_5':</div> <div>- "2023_11_07_Fig5.png"</div> <div>- Final .PNG file used for Figure 5. Panels were arranged and Mean/StDev numbers were added in Adobe Illustrator.</div> <div>- "EAB_diff.svg"</div> <div>-.svg file used for panel A of Figure 5. Generated in Igor v8.</div> <div>- "EAB_pct_aveplot.svg"</div> <div>-.svg file used for panel C of Figure 5. Generated in Igor v8.</div> <div>- "ImA_diff.svg"</div> <div>-.svg file used for panel B of Figure 5. Generated in Igor v8.</div> <div>- "ImA_pct_aveplot.svg"</div> <div>-.svg file used for panel D of Figure 5. Generated in Igor v8.</div> <div>- Data: "2023_07_10_Differentials.xlsx"</div> <div>"2023_07_10_Differentials.csv"</div> <div>"2023_07_10_Differentials.pxp"</div> <div>Data was obtained from sheet "Predict con.c" of Excel file "ZiO-JHU_March 2023_Data processing Updates" recieved 10:37 EST, June 2 2023, from Yu Liu. </div> <div>Data was used as recieved, and imported to Igor Pro v8 for plotting. </div> <div>-'Figure_6':</div> <div>- "2023_07_12_Fig6.png"</div> <div>- Final .PNG file used for Figure 6. Panels were arranged and statistics valued added in Adobe Illustrator.</div> <div>- "serum.svg"</div> <div>-.svg file used for panel A of Figure 5. Generated in Igor v8 from Table 0.</div> <div>- "Filtrate smaller points.svg"</div> <div>-.svg file used for panel C of Figure 5. Generated in Igor v8 from Graph 0.</div> <div>- "Filtrate_insert.svg"</div> <div>-.svg file used for panel B of Figure 5. Generated in Igor v8 from Graph 5.</div> <div>- "Bland-Altman.svg"</div> <div>-.svg file used for panel D of Figure 5. Generated in Igor v8 from Graph 1.</div> <div>- "Bland-Altman insert.svg"</div> <div>-.svg file used for panel D of Figure 5. Generated in Igor v8 from Graph 1.</div> <div>- "Rplot0_png.png"</div> <div>-.png file of Bangdiwala plot. Generated in Rstudio by code mentioned below.</div> <div>- "Agreement plot code.txt"</div> <div>-Code used to generate Bangdiwala agreement plot using Rstudio. </div> <div>- Data: "Concentrations_all.xlsx"</div> <div>"Concentrations_all.csv"</div> <div>Data was obtained from sheet "Predict con.c" of Excel file "ZiO-JHU_March 2023_Data processing Updates" recieved 10:37 EST, June 2 2023, from Yu Liu. </div> <div>Data was used as recieved, and imported to Igor Pro v8 for plotting. </div> <div>- Data: "Bland-Altman.xlsx"</div> <div>"Bland-Altman.csv"</div> <div>Data was obtained from sheet "Bland–Altman Plot" of Excel file "ZiO-JHU_March 2023_Data processing Updates" recieved 10:37 EST, June 2 2023, from Yu Liu. </div> <div>Data was used as recieved, and imported to Igor Pro v8 for plotting. </div> <div>- Data: "ROC-input data for agreement plot.xlsx"</div> <div>"ROC-input data for agreement plot.csv"</div> <div>Data was recieved 12:30 EST, December 7 2023, from Francesca Napoli.</div> <div>- Data: "Fig6.pxp"</div> <div>Table 0: all samples from "Concentrations_all.xlsx"</div> <div>Table 1: average and difference values for EA-B filtrate samples vs immunoassay filtrate samples from "Bland-Altman.xlsx", as well as upper and lower 95% CI boundaries</div> <div>Table 2: samples sorted by concentration and filtered by immunoassay values <15mg/L and <10mg/L.</div> <div>Graph 0: plot of immunoassay vs E-AB serum concentration values from Table 0.</div> <div>Graph 1: plot of immunoassay vs E-AB filtrate concentration values from Table 0.</div> <div>Graph 2: plot of average vs difference values from Tablel 1.</div> <div>Graph 4: plot of filtered immunoassay vs E-AB filtrate concentration values <10mg/L from Table 3.</div> <div>Graph 5: plot of filtered immunoassay vs E-AB filtrate concentration values <15mg/L from Table 3.</div> <div> </div> <div> </div> <div>NOTES</div> <div> </div> <div>(1) Raw voltammetry data is the property of ZiO Health, and is therefore not available for public release. All data presented here were extracted from raw voltammetric traces by ZiO Health,</div> <div>and transfered to the Arroyo lab for further analysis. </div> <div> </div> <div>(2) RStudio is available at: https://posit.co/products/open-source/rstudio/</div> <div> </div> <div>(3) Igor Pro is available at: https://www.wavemetrics.com/</div> <div> </div>
Validation of the Italian Version of the Web Screening Questionnaire for Common Mental Disorders
Open the record for dataset details and reuse information.
Validation for Hypothesis1
<p>Datasets(D' and multiple test sets) and the pre-trained model(fine-tuned by D')</p>
Figure 3. Phaeocedus poonaensis Tikader, 1982 in On the taxonomic validity of Indian ground spiders: III. Genus Phaeocedus Simon, 1893 (Araneae: Gnaphosidae)
Figure 3. Phaeocedus poonaensis Tikader, 1982 (NZC-ZSI-4493/18), holotype (=Poecilochroa taborensis Levy, 1999). (a) female, dorsal view. (b) epigyne. (c) vulva. (d) label from type bottle. Scale bars a = 2 mm; b, c = 0.2 mm.
The datasets for validation of cell deconvolution methods
<p>Many datasets for validation of cell deconvolution methods</p>
Validation dataset
<p>validation dataset</p>
FIGURE 3 in Taxonomic status of Rana nigromaculata mongolia and the validity of Pelophylax tenggerensis (Anura, Ranidae)
FIGURE 3. Bayesian-inferenced topology of Pelophylax species, based on four partial mitochondrial DNA sequences (12s rRNA, 16s rRNA, COI, and cytb). Bayesian posterior probabilities and bootstrap supports values occur at the nodes, respectively. * topotype of "P. tenggerensis"; # topotype of P. mongolicus comb. nov.
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.