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172 results for “neotropical birds”
Frugivoria: A trait database for birds and mammals exhibiting frugivory across contiguous Neotropical moist forests
Biodiversity in many areas is rapidly shifting and declining as a consequence of global change. As such, there is an urgent need for new tools and strategies to help identify, monitor, and conserve biodiversity hotspots. One way to identify these areas is by quantifying functional diversity, which measures the unique roles of species within a community and is valuable for conservation because of its relationship with ecosystem functioning. Unfortunately, the trait information required to evaluate functional diversity is often lacking and is difficult to harmonize across disparate data sources. Biodiversity hotspots are particularly lacking in this information. To address this knowledge gap, we compiled Frugivoria, a trait database containing dietary, life-history, morphological, and geographic traits, for mammals and birds exhibiting frugivory, which are important for seed dispersal, an essential ecosystem service. Accompanying Frugivoria is an open workflow that harmonizes trait and taxonomic data from disparate sources and enables users to analyze traits in space. This version of Frugivoria contains mammal and bird species found in contiguous moist montane forests and adjacent moist lowland forests of Central and South America– the latter specifically focusing on the Andean states. In total, Frugivoria includes 45,216 unique trait values, including new values and harmonized values from existing databases. Frugivoria adds 23,707 new trait values (8,709 for mammals and 14,999 for birds) for a total of 1,733 bird and mammal species. These traits include diet breadth, habitat breadth, habitat specialization, body size, sexual dimorphism, and range-based geographic traits including range size, average annual mean temperature and precipitation, and metrics of human impact calculated over the range. Frugivoria fills gaps in trait categories from other databases such as diet category, home range size, generation time, and longevity, and extends certain traits, once only a
Frugivoria: an open trait database of birds and mammals exhibiting frugivory in moist montane Neotropical forest
Biodiversity in many areas is rapidly shifting and declining as a consequence of global change. As such, there is an urgent need for new tools and strategies to help identify, monitor, and conserve biodiversity hotspots. One way to identify these areas is by quantifying functional diversity, which measures the unique roles of species within a community and is valuable for conservation because of its relationship with ecosystem functioning. Unfortunately, the functional trait information required to evaluate functional diversity is often lacking and is difficult to harmonize across disparate data sources. Biodiversity hotspots are particularly lacking in this information. To address this knowledge gap, we compiled Frugivoria, a trait database containing dietary, life-history, and morphological traits as well as IUCN conservation status, for mammals and birds exhibiting frugivory, which are important for seed dispersal, an essential ecosystem service. Accompanying Frugivoria is an open workflow that harmonizes trait and taxonomic data from disparate sources and enables users to analyze traits in space. This version of Frugivoria encompasses species in moist montane forests of Central and South America. Compared with existing trait databases, Frugivoria adds 25 species (reclassifying 199 to align with the most recent taxonomic changes), adds new traits such as observed and inferred range size, habitat specialization, and body size, and also fills gaps in trait categories from other databases such as diet category, home range size, generation time, and longevity. Overall, Frugivoria adds 2,045 new trait values for mammals and 4,022 for birds, and includes a total of 17,454 trait entries with minimums and maximums reported for certain traits. Frugivoria and its workflow enables researchers to quantify relationships between traits and the environment, as well as spatial trends in functional diversity, contributing to basic knowledge and applied conservation of frugivores
Fig. 12 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 12. Distribution map, face view, and lateral view of petiole of Rasopone JTL030 (worker, Panama, CASENT0633075), R. JTL037 (worker, Guatemala, CASENT0625283), R. mesoamericana (holotype worker), and R. JTL029 (worker, Panama, CASENT0633053). On distribution maps, red dots are sites with UCE sequence data. Red boxes are type locality.
Fig. 13 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 13. Distribution map, face view, and lateral view of petiole of Rasopone cubitalis (holotype worker), R. titanis (worker, Mexico, Chiapas, MCZ-ENT00716640), R. breviscapa (holotype queen), and R. rupinicola (worker, Colombia, face view MCZ-ENT00716589, petiole CASENT0217567). On distribution maps, red dots are sites with UCE sequence data. Red boxes are type locality.
Fig. 11 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 11. Distribution map, face view, and lateral view of petiole of Rasopone ferruginea (worker, Nicaragua, CASENT0644264), R. JTL040 (worker, Colombia, MCZ-ENT00716609), R. JTL041 (worker, Colombia, MCZ-ENT00716614), and R. costaricensis form a (worker, Costa Rica, INB0003659312). On distribution maps, red dots are sites with UCE sequence data. Red boxes are type locality (type locality for R. ferruginea is 'Mexico').
Fig. 8 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 8. Distribution map, face view, and lateral view of petiole of Rasopone lunaris (worker, Brazil, Minas Gerais CASENT0644556), R. guatemalensis (holotype worker), R. costaricensis form c (worker, Costa Rica, INB0003659307), and R. JTL027 (worker, Panama, CASENT0633216). On distribution maps, red dots are sites with UCE sequence data. Red boxes are type locality.
Fig. 7 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 7. Distribution map, face view, and lateral view of petiole of Rasopone MAS010 (worker, Costa Rica, 08COSTA-1723), R. cryptergates (worker, Costa Rica, INB0003660648), R. JTL042 (worker, Colombia, MCZ-ENT00716611), and R. JTL034 (worker, Mexico, CASENT0640282). On distribution maps, red dots are sites with UCE sequence data. Red boxes are type locality.
Fig. 2 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 2. Phylogeny of Rasopone, Mayaponera, and selected outgroup taxa, inferred using the program IQ-TREE and 1,802 UCE loci. Node support values (ultrafast bootstrap/SH-like) <100/100 are depicted with red dots. Terminal names show original, morphology-based species assignments and depict morphological convergence across clades. The 'EX#' code in terminal names indicate unique extraction codes that link specimens to specimen data in provided tables. Simopelta andersoni, a distant outgroup, is not shown in the figure. Images depict workers of Rasopone ferruginea (Nicaragua, CASENT0644264), Mayponera becculata (Peru, CASENT0374638, modified from AntWeb, credit Michele Esposito), and Mayaponera constricta (Bolivia, CASENT0249137, modified from AntWeb, credit Ryan Perry).
Fig. 1 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 1. Characteristics of Rasopone species. (A) Habitus. (B) Scale-like petiole, showing definitions of petiole height (PTH) and petiole length (PTL), and the distinctive shape of the sternite. (C) Petiolar node intermediate between scale-like and cuboidal. (D) Cuboidal petiolar node. (E) Anterior clypeal margin truncate, with angulate lateral lobes. (F) Anterior clypeal margin sinuous, with rounded lateral lobes.
Fig. 6 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 6. Distribution map, face view, and lateral view of petiole of Rasopone pluviselva (holotype worker), R. minuta (worker, Mexico, Chiapas, CASENT0609834), R. JTL043 (worker, Ecuador, MCZ-ENT00716620), and R. JTL048 (worker, French Guiana, CASENT0645961). On distribution maps, red dots are sites with UCE sequence data. Red boxes are type locality.
Fig. 4 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 4. Dealate queen of Rasopone ferruginea (Nicaragua, CASENT0624181). Scale bars are 0.5 mm for face view, 1.0 mm for dorsal and lateral views.
Fig. 5 in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 5. Male of Rasopone mesoamericana sp. nov. (Nicaragua, CASENT0627722). Scale bars are 0.5 mm for face view, 1.0 mm for dorsal and lateral views.
Fig. 3. Phylogenetic relationships among a in Phylogenomic Species Delimitation, Taxonomy, and 'Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)
Fig. 3. Phylogenetic relationships among a curated set of COI barcode sequences for Rasopone. Black samples were sequenced for UCEs. Red samples were downloaded from the BOLD database.The tree was inferred using IQ-TREE with the data partitioned by codon position. Black circles on nodes indicate high support, which we define as ≥95% ultrafast bootstrap support and ≥95% SH-like branch support.Terminal names match taxonomic changes proposed in paper and provide useful sample identifiers (e.g., extraction codes [EX#] or BOLD process IDs).A complete, unpruned COI tree is available in Supp Fig. S1 (online only).
Data from: Area of habitat maps and validated occurrences for neotropical birds of conservation concern
<p>Understanding species distributions is essential for advancing bird conservation, especially in the rapidly changing landscapes of the Neotropics, where habitat loss and degradation are accelerating. Area of Habitat (AOH) maps offer valuable spatial tools for illustrating species distributions by highlighting potentially suitable habitats within their geographic range. In this study, we generated AOH maps for 713 neotropical bird species of conservation concern, which includes species listed as globally or nationally threatened, endemic, or with restricted ranges. Using primary biodiversity data and a structured geospatial workflow, we refined approximately 2.5 million occurrence records through a flagging process and validated 50,743 records manually.<strong> </strong>This unparalleled effort led to the creation of high-quality AOH maps, along with altitude-corrected Extent of Occurrence (EOO-DEM) and Inverse Distance Weighted (IDW) range maps. Our AOH maps significantly improved species distribution predictions for 82% of species, over EOO-DEM maps. The validated occurrences and AOH maps produced in this study have wide-ranging applications, providing a valuable basis for the development of new species distribution models and for evaluating species’ natural history, extinction risk, and habitat threats. They also support the identification of priority areas for strategic conservation investments. Importantly, these maps played a key role in systematic conservation planning analyses for the Conserva Aves initiative, which is facilitating the creation of more than 80 new protected areas across Latin America, safeguarding 2 million hectares and improving the management of an additional 2 million hectares (<a href="https://conserva-aves.org/">https://conserva-aves.org/</a>).</p>
Linked collectors and determiners for: Phylogenomic Species Delimitation, Taxonomy, and ' Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae).
Natural history specimen data linked to collectors and determiners held within, "Phylogenomic Species Delimitation, Taxonomy, and ' Bird Guide' Identification for the Neotropical Ant Genus Rasopone (Hymenoptera: Formicidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/430a96d1-f5cd-4234-a35d-3f324ed63974">https://bionomia.net/dataset/430a96d1-f5cd-4234-a35d-3f324ed63974</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/430a96d1-f5cd-4234-a35d-3f324ed63974">https://gbif.org/dataset/430a96d1-f5cd-4234-a35d-3f324ed63974</a>. Formatted as a Frictionless Data package.
Song varies with latitude, climate, and species richness in a Neotropical bird
<p>Animals can encode information within acoustic signals, particularly, bird songs can be remarkably complex and can indicate individual identity and quality. Two main sets of hypotheses attempt to explain the evolution of increased birdsong complexity across large-scale geographic ranges: (1) larger acoustic space availability, and (2) greater sexual selection intensity, both of which would favor the evolution of more complex songs at higher latitudes, more seasonal and/or species-poor environments. However, few studies have assessed patterns of song complexity for birds with broad geographic ranges. Here, we determined patterns of song variation in the blue-black grassquit (<em>Volatinia jacarina</em>), considering metrics of song complexity, structure and performance. This Neotropical bird occurs from Mexico to Argentina and produces a monosyllabic song. Using recordings from online databases, we calculated song metrics, such as bandwidth, song rate, number of song components, and proportion of vibratos of this signal. We found that song features varied with latitude, climate seasonality, bird species richness and hemisphere. However, contrary to theoretical predictions, complexity mostly decreased with latitude and greater seasonality, while it was positively correlated with bird species richness. Proportion of vibratos was positively correlated with latitude and seasonality, and may be a feature under sexual selection in this species. Overall, our results did not support the main hypotheses proposed as explanations for song complexity. Our findings also highlight that song complexity does not vary uniformly among songbirds and song parameters, and future studies encompassing more species should clarify patterns and drivers of song variation across broad geographic dimensions.</p>
Data from: Assessing the reproductive consequences of mate retention and pair bond duration in Thorn-tailed Rayadito (Aphrastura spinicauda), a short-lived, socially monogamous Neotropical bird
<p><strong>Description for "PairingData_Aspinicauda.xlsx" file.</strong></p> <p>Data from: Assessing the reproductive consequences of mate retention and pair bond duration in Thorn-tailed Rayadito (Aphrastura spinicauda), a short-lived, socially monogamous Neotropical bird<br> MS Reference Number: IBIS-2022-OA-113.R2<br> Article DOI: 10.1111/ibi.13183</p> <p>Please address questions to:</p> <p>Esteban Botero D.<br> Guest Scientist<br> Max Planck Institute for Ornithology<br> Dep. Behavioural Ecology and Evolutionary Genetics<br> Eberhard-Gwinner-Str. 8<br> 82319 Seewiesen, Germany<br> Telephone: +49 8157 932453<br> http://www.orn.mpg.de/en<br> e-mail: eboterod@gmail.com; ebotero@orn.mpg.de</p> <p>=====================================================================================<br> =====================================================================================</p> <p><br> General information:</p> <p>The whole dataset contains breeding data collected from a population of the furnariid Thorn-tailed rayadito (Aphrastura spinicauda) in north-central Chile (Fray Jorge National Park; 30º38’S, 71º40’W). These data were collected during 2009–2017 as part of a long-term study on the breeding biology of rayaditos. In this study, data were used to evaluate the consequences of mate replacement versus mate retention using 243 breeding attempts made by 159 different breeding pairs. This, in the end, allowed to test whether successive remating conferred reproductive benefits to reunited pairs.</p> <p>The data set is comprised by an Excel file (three spreadsheets) that are explained below.</p> <p>*************************************************************************************</p> <p>Excel file "PairingData_Aspinicauda.xlsx" (created 11-01-2023)</p> <p><br> ********** Spreadsheet "1. AllPairs" **********<br> This spreadsheet contains information from all breeding attempts monitored during the study (n = 243). Each row correspond to a unique breeding attempt. The ring number is used as an ID for each individual. The matrix includes information regarding individual and pair identification, age, previous breeding status (whether an individual is a widow or a divorcee), current pairing status (whether is a newly formed pair or a reunited pair), number of seasons breeding together for each pair, confidence on pairing information for each pair (high: there was absolute confidence on the previous breeding status of both members of a breeding pair; low: when information on previous breeding status was missing for at least one of the members of a pair), and measures of reproductive success (laying day, clutch size, umber of fledglings produced). This dataset can be saved as a *.txt file so that it can be imported into R (R Core Team 2020).</p> <p>The matrix contains the following variables:</p> <p>VARIABLE DESCRIPTION</p> <p>Year Sampling year.<br> Box Nestbox code.<br> FID ID for the breeding female.<br> FMAge Age for each breeding female (yearling: 1; adult: 2).<br> SocMID ID for the breeding male (social father of the clutch).<br> SocMaAge Age for each breeding male.<br> PairID ID for the breeding pair. This is for indexing purposes.<br> FPaSta Previous breeding status of the female (Wid: widow; Div: divorcee; Reu: reunited).<br> MPaSta Previous breeding status of the male (Wid: widow; Div: divorcee; Reu: reunited).<br> PairSta Pairing status for the focal breeding pair (New: newly formed; Reunited: reunited).<br> PairSea No. of seasons breeding together for each pair.<br> Certainty Certainty on previous breeding status (High or Low; see explanation above).<br> LayingD Laying date (number of days in relation to date of first egg in the population).<br> ClutchS Clutch size.<br> NoFle Number of fledging produced.</p> <p><br> ********** Spreadsheet "2. WidowFBre" **********<br> This spreadsheet contains breeding information for females that were monitored in the years before and after mate loss.</p> <p>The matrix contains the following variables:</p> <p>VARIABLE DESCRIPTION</p> <p>Year Sampling year.<br> Box Nestbox code.<br> FID ID for the breeding female.<br> LayingD Laying date during year after mate loss.<br> ClutchS Clutch size during year after mate loss.<br> NoFle Number of fledging produced during year after mate loss.<br> FPaSta Previous breeding status of the female (Wid: widow; Div: divorcee; Reu: reunited).<br> LayingD_x.1 Laying date during year before mate loss (year x-1).<br> ClutchS_x.1 Clutch size during year before mate loss (year x-1).<br> NoFle_x.1 Number of fledging produced during year before mate loss (year x-1).</p> <p><br> ********** Spreadsheet "3. WidowMBre" **********<br> This spreadsheet contains breeding information for males that were monitored in the years before and after mate loss.</p> <p>The matrix contains the following variables:</p> <p>VARIABLE DESCRIPTION</p> <p>Year Sampling year.<br> Box Nestbox code.<br> SocMID ID for the breeding male.<br> LayingD Laying date during year after mate loss.<br> NoFle Number of fledging produced during year after mate loss.<br> MPaSta Previous breeding status of the female (Wid: widow; Div: divorcee; Reu: reunited).<br> LayingD_x.1 Laying date during year before mate loss (year x-1).<br> NoFle_x.1 Number of fledging produced during year before mate loss (year x-1).</p> <p>*************************************************************************************</p> <p><br> =====================================================================================</p> <p><br> Methodological information (for more details, please see the related manuscript):</p> <p>A total of 101–157 nestboxes were installed in Fray Jorge since 2007, and are monitored annually during September–December. We gathered data on reproductive phenology and productivity during 2008–2017 for all nestbox occupants. Nestboxes were initially visited every 3–5 days to detect nest building. Once nestboxes were occupied, we increased the frequency of visits to record data on laying date, clutch size, and the number of hatchlings and fledglings produced (see more details in Botero-Delgadillo et al. 2017). We captured and marked breeding adults and nestlings with numbered aluminium rings when nestlings were 12–14 days old. Additionally, we used mist nets to capture adult birds breeding in natural cavities in our study site. A total of 248 adults (132 females, 116 males) and 730 nestlings were marked. For all nests that were monitored, we marked ~90% of all breeding adults every year.</p> <p>We used data from a total of 243 breeding attempts made by 159 breeding pairs captured during 2009–2017 to describe mating patterns in the study population, including: (i) the duration of social bonds for all breeding pairs formed during the study; (ii) the proportion of newly formed and remated pairs found during the entire study period and during each year; and (iii) the proportion of divorce versus mate loss causing pair dissolution.</p> <p>The consequences of mate retention and successive remating were evaluated by performing mixed-effects models in the lme4 package (Bates et al. 2015) in the free software R 4.0.2 (R Core Team 2020). To assess whether reproductive success was higher for remated pairs than for newly formed pairs, we tested for the effects of pairing status (newly formed vs. remated) on measures of breeding productivity. Linear models were fit for laying date, clutch size, and number of fledglings produced. To control for between-season variation in reproductive output, we calculated Z-scores for all numeric response variables using the mean and standard deviation for each year. All models included age class of both members of a breeding pair as covariates (yearling vs. adult), and female, male and pair ID as random intercepts. First, we performed analyses on the complete set of 243 breeding attempts, and subsequently repeated the analyses on a reduced subset of data that only contained pairs whose previous pairing status was known with certainty (n = 159). This allowed to evaluate potential bias in our results, given that the complete dataset included pairs misclassified as “newly formed”, because the previous pairing status of older individuals that we captured for the first time is unknown.</p> <p>We also investigated whether individuals experienced reduced reproductive success after mate replacement. To test this, we compared breeding productivity of individuals in the years before and after mate loss. We focused the analysis on widowed birds, as the frequency of divorced individuals was low in the study population. We used linear mixed-effects models that included data on laying date, clutch size, and number of fledglings produced as response variables. Each sex was tested separately, with clutch size being evaluated only for females. We included the breeding season as predictor (year x vs. x-1), and entered individual ID as a random intercept.</p> <p>Lastly, to evaluate whether successive remating influenced reproductive success, we used data on pairs that bred more than once together during the study (n = 132). Linear mixed-effects models were fitted to assess the effect of the number of seasons breeding together on laying date, clutch size, and number of fledglings produced. Between-season effects were controlled as described above, while the number of seasons breeding together (range: 1–6) was introduced as predictor. Given the skewed distribution of the number of seasons breeding together in this dataset (one = 36%; two = 36%; three = 17%; four = 8%; five = 2%; six = 1%), and the possibility that its effect on reproductive success might not be linear, a dummy variable indicating whether an observation belonged to the first breeding attempt (first attempt vs. after-first attempt) was also entered as predictor. Models included female and male age class as covariates, and pair ID as a random intercept.</p> <p><strong>References:</strong></p> <p>Botero-Delgadillo, E., Quirici, V., Poblete, Y., Cuevas, E., Kuhn, S., Girg, A., Teltscher, K., Poulin, E., Kempenaers, B., & Vásquez, R. A. (2017). Variation in fine-scale genetic structure and local dispersal patterns between peripheral populations of a South American passerine bird. Ecology and Evolution, 7(20), 8363–8378. https://doi.org/10.1002/ece3.3342</p> <p>Bates, D., Maechler, M., Bolker, B., & Walker, S. 2015. Fitting linear mixed-effects models using lme4. J. Stat. Soft. 67: 1–48.</p> <p>R Core Team. (2020). R: a language and environment for statistical computing, version 4.0.2. R Foundation for Statistical Computing, Vienna, Austria, http://www.R.project.org</p> <p><br> =====================================================================================<br> =====================================================================================</p>
Song varies with latitude, climate, and species richness in a Neotropical bird
Open the record for dataset details and reuse information.
Effects of phylogenetic distance, niche overlap and habitat alteration on spatial co-occurrence patterns in Neotropical bats and birds
Open the record for dataset details and reuse information.
Table S1. List of all new avian species descriptions from 2000 through 2016. Neotropical birds are indicated in yellow, whereas Asian / Australasian species are indicated in green.
<p>Is supplement to Rheindt, Frank E., Prawiradilaga, Dewi M., Ashari, Hidayat, Suparno, Gwee, Chyi Yin, Lee, Geraldine W. X., Wu, Meng Yue, Ng, Nathaniel S. R. (2020): A lost world in Wallacea: Description of a montane archipelagic avifauna. Science 367: 167-170, DOI: 10.1126/science.aax2146</p>
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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.