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.
34,778
datasets available to search
ShareScore release 0.9.0
Dataset results
34,778 results for “diseases”
Frustration Between Preferred States of Complementary Trinucleotide Repeat DNA Hairpins Anticorrelates with Expansion Disease Propensity
<p>The expansion of DNA trinucleotide repeats (TRs) beyond a threshold often results in neurodegenerative diseases in humans. The mechanisms causing these expansions remain unknown, although the tendency of TR ssDNA to self-associate into hairpins that slip along their length is widely presumed to be related. Here we apply single molecule FRET (smFRET) experiments and molecular dynamics simulations to determine conformational stabilities and slipping dynamics for CAG, CTG, GAC, and GTC hairpins. By developing novel analysis approaches for states with closely spaced FRET efficiencies along with improved transition detection algorithms, we determined the kinetic slipping schemes for these hairpins. Tetraloops are favored in CAG (89%), CTG (89%) and GTC (69%) while GAC favors triloops. We also determined that TTG interrupts near the loop in the CTG hairpin stabilize the hairpin against slipping (as do CAA substitutions in CAG hairpins). The different loop stabilities have implications for intermediate structures that may form when TR-containing duplex DNA opens. Opposing hairpins in the (CAG) ∙ (CTG) duplex would have matched stability whereas opposing hairpins in a (GAC) ∙ (GTC) duplex would have unmatched stability. This unmatched stability would introduce mechanical stress or frustration in the (GAC) ∙ (GTC) opposing hairpins that would be absent in (CAG) ∙ (CTG) structures. Given the biological observation that the CAG and CTG TR can undergo large, disease-related expansion whereas the GAC and GTC sequences do not, the mechanical stability differences we have identified can inform and constrain models of the expansion mechanisms of TR regions.</p>
Whole blood RNA-seq demonstrates an increased host immune response in individuals with cystic fibrosis who develop nontuberculous mycobacterial pulmonary disease
<p><strong>Background </strong></p> <p>Individuals with cystic fibrosis have an elevated lifetime risk of colonization, infection, and disease caused by nontuberculous mycobacteria. A prior study involving non-cystic fibrosis individuals reported a gene expression signature associated with susceptibility to nontuberculous mycobacteria pulmonary disease (NTM-PD). In this study, we determined whether people living with cystic fibrosis who progress to NTM-PD have a gene expression pattern similar to the one seen in the non-cystic fibrosis population. <strong> </strong></p> <p><strong>Methods</strong></p> <p>We evaluated whole blood transcriptomics using bulk RNA-seq in a cohort of cystic fibrosis patients with samples collected closest in timing to the first isolation of nontuberculous mycobacteria. The study population included patients who did (n = 12) and did not (n = 30) develop NTM-PD following the first mycobacterial growth. Progression to NTM-PD was defined by a consensus of two expert clinicians based on reviewing clinical, microbiological, and radiological information. Differential gene expression was determined by DESeq2.</p> <p><strong>Results</strong></p> <p>No differences in demographics or composition of white blood cell populations between groups were identified at baseline. Out of 213 genes associated with NTM-PD in the non-CF population, only two were significantly different in our cystic fibrosis NTM-PD cohort. Gene set enrichment analysis of the differential expression results showed that CF individuals who developed NTM-PD had higher expression levels of genes involved in the interferon (α and γ), tumor necrosis factor, and IL6-STAT3-JAK pathways. <strong> </strong></p> <p><strong>Conclusion</strong></p> <p>In contrast to the non-cystic fibrosis population, the gene expression signature of patients with cystic fibrosis who develop NTM-PD is characterized by increased innate immune responses.</p>
Questionnaire: Co-occurrence of behavioural risk factors for non-communicable diseases among 40-year and above aged community members in three regions of Myanmar
<p>This questionnaire was applied as data collection tool for the dataset of "Co-occurrence of behavioural risk factors for non-communicable diseases among 40-year and above aged community members in three regions of Myanmar".</p>
PolyMed: A Medical Dataset Addressing Disease Imbalance for Robust Automatic Diagnosis Systems
<p>We introduce the PolyMed dataset, designed to address the limitations of existing medical case data for Automatic Diagnosis Systems (ADS). ADS assists doctors by predicting diseases based on patients' basic information, such as age, gender, and symptoms. However, these systems face challenges due to imbalanced disease label data and difficulties in accessing or collecting medical data. To tackle these issues, the PolyMed dataset has been developed to improve the evaluation of ADS by incorporating medical knowledge graph data and diagnosis case data. The dataset aims to provide comprehensive evaluation, include diverse disease information, effectively utilize external knowledge, and perform tasks closer to real-world scenarios.</p> <p>We have also made the data collection tools publicly available to enable researchers and other interested parties to contribute additional data in a standardized format. These tools feature a range of customizable input fields that can be selectively utilized according to the user's specific requirements, ensuring consistency and professionalism in the data collection process.</p> <p>All train and test code of our data available in https://github.com/krchanyang/PolyMed</p>
Revisiting the historical scenario of a disease dissemination using genetic data and Approximate Bayesian Computation methodology: the case of Pseudocercospora fijiensis invasion in Africa
<p class="MsoNormal"><span>The reconstruction of geographic and demographic scenarios of dissemination for invasive pathogens of crops is a key step towards improving the management of emerging infectious diseases. Nowadays, the reconstruction of biological invasions typically uses the information of both genetic and historical information to test for different hypotheses of colonization. The Approximate Bayesian Computation framework and its recent Random Forest development (ABC-RF) have been successfully used in evolutionary biology to decipher multiple histories of biological invasions. Yet, for some organisms, typically plant pathogens, historical data may not be reliable notably because of the difficulty to identify the organism and the delay between the introduction and the first mention. We investigated the history of the invasion of Africa by the fungal pathogen of banana, <em>Pseudocercospora fijiensis</em>, by testing the historical hypothesis against other plausible hypotheses. We analysed the genetic structure of eight populations from six eastern and western African countries, using 20 microsatellite markers, and tested competing scenarios of population foundation using the ABC-RF methodology. We do find evidence for an invasion front consistent with the historical hypothesis, but also for the existence of another front never mentioned in historical records. We question the historical introduction point of the disease on the continent. Crucially, our results illustrate that even if ABC-RF inferences may sometimes fail to infer a single, well-supported scenario of invasion, they can be helpful in rejecting unlikely scenarios, which can prove much useful to shed light on disease dissemination routes.</span></p>
Supplemental data for: A bibliometric assessment of the incidence of amyloid-Eszett (Aß), a false positive of amyloid-beta (Aβ), in the neurodegenerative disease literature
<p>One claimed reason for the development of Alzheimer’s disease (AD), a prominent neurodegenerative disease, is the extracellular aggregation of amyloid-beta (Aβ). A linguistic or formatting error has resulted in the misrepresentation of the Greek letter β with the German letter Eszett (ß), resulting in the formation of a non-existent compound, amyloid-Eszett (Aß). These datasets offer a quantified appreciation of the AD-related literature, carrying a mention of this false positive in the title, abstract and keywords of papers indexed in the Web of Science Core Collection and Scopus. Also, as a curiosity given the popularity of this large language model, we asked the questions to ChatGPT. This AI chatbot developed by OpenAI was able to recognize Eszett as a linguistic or typographic error, within this context, recognizing Aß and Aβ as equals. This erroneous substitution of a Greek letter (in Aβ) by a German one (Aß), despite giving a non-existent compound, will likely not change the underlying scientific conclusions of the affected papers, although errata might be useful to enlighten others, including metadata managers and journal copyeditors, so as not to repeat the same mistake.</p>
Input data for the case study reported in "DREAM: an R package for druggability evaluation of human complex diseases".
<p>The data included in this record constituted the input for the case study reported in the manuscript "DREAM: an R package for druggability evaluation of human complex diseases", by Antonio Federico, Michele Fratello, Alisa Pavel, Lena Möbus, Giusy del Giudice, Angela Serra, Dario Greco. The data derive from transcriptomics experiments executed on lesional skin from atopic dermatitis patients and unaffected skin counterparts. The data consists of two files in ".txt" format reporting gene expression data in tabular format, where on the rows are reported genes and on the columns are reported samples. The data is an aggregated and batch-corrected collection of datasets originally downloaded by Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/). The file "GE_Mic_AD_Pamr_MAARS.txt" reports gene expression estimates of lesional skin of atopic dermatitis patients, while the file "GE_Mic_AD_Pamr_nl_MAARS.txt" reports gene expression estimates of non-lesional skin of atopic dermatitis patients.</p>
Polygenic risk scores validated in patient-derived cells stratify for mitochondrial subtypes of Parkinson's disease
<p><strong>Background</strong> Parkinson’s disease (PD) is the fastest growing neurodegenerative disorder, with affected individuals expected to double during the next 20 years. This raises the urgent need to better understand the genetic architecture and downstream cellular alterations underlying PD pathogenesis, in order to identify more focused therapeutic targets. While only ∼10% of PD cases can be clearly attributed to monogenic causes, there is mounting evidence that additional genetic factors could play a role in idiopathic PD (iPD). In particular, common variants with low to moderate effect size in multiple genes regulating key neuroprotective activities may act as risk factors for PD. In light of the well-established involvement of mitochondrial dysfunction in PD, we hypothesized that a fraction of iPD cases may harbour a pathogenic combination of common variants in nuclear-encoded mitochondrial genes, ultimately resulting in neurodegeneration.</p> <p><strong>Methods</strong> to capture this mitochondria-related “missing heritability”, we leveraged on existing data from previous genome-wide association studies (GWAS) – i.e., the large PD GWAS from Nalls and colleagues. We then used computational approaches based on mitochondria-specific polygenic risk scores (mitoPRSs) for imputing the genotype data obtained from different iPD case-control datasets worldwide, including the Luxembourg Parkinson’s Study (412 iPD patients and 576 healthy controls) and the COURAGE-PD cohorts (7270 iPD cases and 6819 healthy controls).</p> <p><strong>Results</strong> applying this approach to gene sets controlling mitochondrial pathways potentially relevant for neurodegeneration in PD, we demonstrated that common variants in genes regulating <em>Oxidative Phosphorylation (OXPHOS</em>-PRS<em>)</em> were significantly associated with a higher PD risk both in the Luxembourg Parkinson’s Study (odds ratio, OR=1.31[1.14-1.50], <em>p</em>=5.4e-04) and in COURAGE-PD (OR=1.23[1.18-1.27], <em>p</em>=1.5e-29). Functional analyses in primary skin fibroblasts and in the corresponding induced pluripotent stem cells-derived neuronal progenitor cells from Luxembourg Parkinson’s Study iPD patients stratified according to the <em>OXPHOS</em>-PRS, revealed significant differences in mitochondrial respiration between high and low risk groups (<em>p</em> < 0.05). Finally, we also demonstrated that iPD patients with high <em>OXPHOS</em>-PRS have a significantly earlier age at disease onset compared to low-risk patients.</p> <p><strong>Conclusions</strong> our findings suggest that OXPHOS-PRS may represent a promising strategy to stratify iPD patients into pathogenic subgroups – in which the underlying neurodegeneration is due to a genetically defined mitochondrial burden – potentially eligible for future, more tailored mitochondrially targeted treatments.</p>
Dataset for the intervention effects and long-term changes in physical activity and cardiometabolic outcomes among children at risk of noncommunicable diseases in South Africa
<p>Dataset used to evaluate the short-term effects of the physical and health <em>KaziKidz</em> intervention on cardiometabolic risk factors and the long-term changes thereof among school-aged children at risk of NCDs from disadvantaged communities in South Africa.</p> <p>It encompasses anonymized, unique, identification numbers, anthropometric and clinical measures, such as blood pressure, blood sugar and blood lipids, and Actigraphy-measured physical activity levels. Assigned categories to each cardiovascular risk factor and the overall classification as at risk or not is available too.</p>
Source data for paper "Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data"
<p>Sample-paired scRNA-seq and scATAC-seq data collected from human peripheral blood mononuclear cells with <em>Staphylococcus aureus</em><em> </em>infection. ScATAC-seq data collected from human peripheral blood mononuclear cells with <em>COVID-19</em> infection. </p>
Genome-wide determinants of mortality and clinical progression in Parkinson's disease - Summary statistics
<p>Summary statistics from "Genome-wide determinants of mortality and clinical progression in Parkinson’s disease".</p>
Assessment of Capacity of the primary Health System in the management of noncommunicable Diseases in Ghana
<p>This questionnaire was used to assess the capacity of primary health system in the management of NCDs</p>
SNAPP- Diseases in wild South American camelids Literature Review Datasets
<p><strong>SNAPP Diseases in wild South American camelids project</strong>: Vicuñas (<em>Vicugna vicugna</em>) and guanacos (<em>Lama guanicoe</em>) are the two species of wild South American camelids whose distribution ranges from southern Argentina and Chile to central Peru. Declines in guanaco and vicuña populations have been recently associated with outbreaks of sarcoptic mange infections, impacting the health and conservation of South American Camelids (CSAs). Recognizing that the greatest challenges to conservation and sustainable development require innovative solutions, we have been forming a working group Andean Camelid Disease to collaboratively find management strategies to control sarcoptic mange to promote the health of CSA, their ecosystems, surrounding livestock, and the members of Andean communities that rely on the management of these species. In this perspective, we review the current knowledge on sarcoptic mange in CSAs and identify existing knowledge gaps. </p> <p><strong>Datasets created and used in the SNAPP Diseases in Wild South American camelids project</strong> (https://snappartnership.net/teams/andean-camelid-disease/)<br> This repository contains the databases (BD) generated from the systematic review of published information, including the metadata of each of them, the basic description of the methodology used, and files with the description of the information obtained.</p> <p><strong>BD_SNAP-CSA_RevSiste_ResumenCalidad.xlsx:</strong> BD with the description of each of the documents worked on in the systematic review, including a detailed summary of the objectives, methodology, results, and conclusions. Additionally, the evaluation of the quality of the data collected from each document has been included, as well as the classification of the studies according to their type considering the categories defined by Pullin and Knight 2001 and Pullin and Knight 2003.</p> <p><strong>BD_SNAP-CSA_RevSiste_PrevalenciaPoblaciones.xlsx:</strong> contains data on the prevalence and mortality of mange by CSA populations, including data on location, type of management, and years, among others.</p> <p><strong>BD BD_SNAP-CSA_RevSiste_PrevalenciaIndividuos.xlsx:</strong> contains data on the prevalence and extent of mange by CSA individuals, including information on age and sex.</p> <p><strong>BD BD_SNAP-CSA_RevSiste_Severidad.xlsx:</strong> contains data on the severity of scabies in CSA populations, including data on location, type of management, and years, among others.</p> <p><strong>BD_SNAP-CSA_RevSiste_Tratmientos.xlsx:</strong> contains quantitative and qualitative data on the effectiveness of implemented veterinary treatments, including information by location and year on drugs, implemented concentrations, doses, and recovery time, among others.</p> <p><strong>BD_SNAP-CSA_RevSiste_Genetica.xlsx: </strong>Contains available genetic information on CSA populations and subpopulations.</p> <p><strong>BD_SNAP-CSA_RevSiste_Percepciones.xlsx: </strong>contains perceptions and opinions collected during the systematic review in relation to the severity of mange in CSA, the importance of ecological factors in relation to the severity of mange, the effect of CSA management in relation to with the severity of mange and the effectiveness of treatments.</p> <p>These documents are the result of the Science for Nature and People Partnership (SNAPP) Diseases in Wild South American Camelids working group. SNAPP is a partnership of The Nature Conservancy and the Wildlife Conservation Society.</p>
Appendix of the manuscript: The burden of disease attributable to high body mass index in Belgium
<p>These datasets are part of the Appendix of the manuscript: <em>The burden of disease attributable to high body mass index in Belgium </em>from Gorasso et al.</p> <p>Appendix 3 includes the relative risks by age, sex and disease extracted from GBD 2019 used in the manuscript;</p> <p>Appendix 4 includes the results of the population attributable fractions of high body mass index by age, sex and disease derived in the manuscript.</p>
Data for: The role of temperature in the start of seasonal infectious disease epidemics
<p><span>Many infectious diseases display strong seasonal dynamics. </span><span>When both hosts and parasites are influenced by seasonal variables, it is unclear if the start of an epidemic is limited by host or parasite factors or both. The <em>Daphnia-Pasteuria</em> host-parasite system exhibits seasonal epidemics. </span>We aimed to ascertain how temperature contributes to the timing of <em>P</em>. <em>ramosa</em> epidemics in early spring. To this aim, we experimentally disentangled this effect from the effects of temperature on host development and phenology and from that of host traits on parasite time to visible infection. We hypothesized that the parasite is additionally directly limited by low temperatures beyond its need for available hosts. <span>We found that parasite time to visible infection decreased with increasing temperature at a faster rate than host time to hatching and maturity did, consistent with this hypothesis. We also found that hosts hatched from sexual resting stages are less likely to become infected than those produced clonally and that hosts resistant to many known parasite strains are slower to show signs of visible infection compared to those susceptible to many. Together, these results imply that climate change could lead to earlier seasonal epidemics for this host-parasite system, which may also impact longer-term population dynamics.</span></p>
Fig. 1 in Infection with Toxoplasma gondii can promote chronic liver diseases in HIV-infected individuals
Fig. 1. Frequency of different liver pathologies in deceased patients from cohorts seropositive and seronegative to Toxoplasma gondii (Nicolle et Manceaux, 1908). * – difference between the indices for the entire cohort of seropositive patients and for the group of deceased patients from this cohort (p <0.05); ^ – difference between the indices for the entire cohort of seronegative patients and for the group of deceased patients from this cohort (p <0.05)
All data for the preprint Population genetics of Glossina palpalis gambiensis in the sleeping sickness focus of Boffa (Guinea) before and after eight years of vector control: no effect of control despite a significant decrease of human exposure to the disease
<p>Data set for the paper titled "Population genetics of <em>Glossina palpalis gambiensis</em> in the sleeping sickness focus of Boffa (Guinea) before and after eight years of vector control: no effect of control despite a significant decrease of human exposure to the disease"</p>
Alliance of Genome Resources Disease Annotations
<p>Tab separated formatted spreadsheets of disease annotations from the Alliance of Genome Resources. Annotations are to terms in the Disease Ontology (DO), evidence codes from the Evidence Code Ontology (ECO). PubMed ids (PMID) are provided for the source of the annotation assertions.</p> <p>File includes annotations for the following organisms:</p> <ul> <li>Homo sapiens (human; NCBI:txid 9606)</li> <li>Caenorhabditis elegans (nematode; NCBI:txid 6239)</li> <li>Danio rerio (zebrafish;NCBI:txid 7955)</li> <li>Drosophila melanogaster (fruit fly; NCBI:txid 7227)</li> <li>Mus musculus (mouse; NCBI:txid10090)</li> <li>Rattus norvegicus (rat; NCBI:txid 10116)</li> <li>Saccharomyces cerevisiae (yeast; NCBI:txid 559292)</li> <li>Xenopus laevis (African clawed frog; NCBI:txid 8355)</li> <li>Xenopus tropicalis (Western clawed frog; NCBI:txid 8364)</li> </ul>
Mysterious microsporidians: springtime outbreaks of disease in Daphnia communities in shallow pond ecosystems
<p>Parasites can play key roles in ecosystems, especially when they infect common hosts that play important ecological roles. <em>Daphnia</em> are critical grazers in many lentic freshwater ecosystems and typically reach peak densities in early spring. <em>Daphnia</em> have also become prominent model host organisms for the field of disease ecology, although most well-studied parasites infect them in summer or fall. Here, we report field patterns of virulent microsporidian parasites that consistently infect <em>Daphnia</em> in springtime, in a set of seven shallow ponds in Georgia, USA, sampled every 3–4 weeks for 18 months. We detected two distinct parasite taxa, closely matching sequences of <em>Pseudoberwaldia</em> <em>daphniae</em> and <em>Conglomerata</em> <em>obtusa</em>, both infecting all three resident species of <em>Daphnia</em>: <em>D. ambigua, D. laevis, </em>and<em> D. parvula</em>. To our knowledge, neither parasite has been previously reported in any of these host species or anywhere in North America. Infection prevalence peaked consistently in February-May, but the severity of these outbreaks differed substantially among ponds. Moreover, host species differed markedly in terms of their maximum infection prevalence (5% [<em>D. parvula</em>] to 72% [<em>D. laevis</em>]), mean reduction of fecundity when infected (70.6% [<em>D. ambigua</em>] to 99.8% [<em>D. laevis</em>]), mean spore yield (62,000 [<em>D. parvula</em>] to 377,000 [<em>D. laevis</em>] per host), and likelihood of being infected by each parasite. The timing and severity of the outbreaks suggest that these parasites could be impactful members of these shallow freshwater ecosystems and that the strength of their effects is likely to hinge on the composition of ponds' zooplankton communities.</p>
A more accurate risk biomarkers recognition for Progressive Multifocal Leukoencephalopathy (PML) caused by Polyomavirus JC in patients with multiple sclerosis during treatment with disease-modifying therapies (DMTs): an ongoing clinical challenge.
<p>The therapeutic scenario for the treatment of MS has recently been characterized by a veritable revolution, which has included the introduction, for the first time, of drug treatment guidelines and the entry, in the therapeutic landscape of the last decade, of numerous new drugs that, in varying but significantly relevant ways, have proven capable of modifying the course of the disease (Disease-Modifying Therapies - DMTs). <br> While the arsenal of available drugs has resulted in advances in efficacy and selectivity, it has also exposed them to the danger of side effects, potentially serious and in some cases even fatal. Among the most important side effects, complications of infectious origin, characterized by cases of viral infection/reactivation, as in the case of JCPyV, the etiologic agent of PML, are the most represented. This study, based on the follow-up of MS patients treated with different DMTs, contributes to implementing the data in the literature regarding a greater understanding of the risks related to the administration of these drugs and more appropriate monitoring of MS treatment. The risk of JCPyV reactivation with Fingolimod and Dimethyl fumarate is lower than the risk of viral reactivation associated with natalizumab.<br> In light of the data obtained, it is possible to conclude that, in the case of natalizumab, testing for JC viruria would seem to be more useful in identifying those patients with a JCPyV-specific humoral response that is not yet detectable. In addition, our results, draw attention to the importance of analyzing the NCCR rearrangements of JCPyV. Indeed, the particular rearrangements found in plasma and PBMCs of patients with RRMS treated with natalizumab could represent an alert of neuroinvasiveness in order to detect early those patients with a higher risk of developing PML. In the case of dimethyl fumarate, it seems likely that monitoring of lymphopenia would identify a higher risk group of patients in whom alternative therapy should be sought. Prolonged lymphopenia, with absolute lymphocyte counts less than 750 lymphocytes/mL, might be the major risk factor for PML although, a greater risk might lie in the loss of CD8+ cells that are crucial for JCPyV control.<br> For fingolimod, this strategy cannot be applied because the number of circulating lymphocytes decreases while the actual lymphocyte function appears largely normal therefore, monitoring viruria and viremia along with identification of the neurotrophic variant of the virus seems a more exploitable means for risk stratification.</p> <p>In conclusion, the results of this study can be considered directly transferable to the National Health System in that, both the monitoring of JCPyV reactivation by viruria and the sequence analysis of viral NCCR and host immune set-up could play the role of translatable biomarkers in clinical practice in order to assess the risk of PML onset. In addition to improving risk stratification of this disease, these biomarkers of viral reactivation and pathogenicity could facilitate timely diagnosis, optimizing the use of health care resources and contributing to the reduction of direct and indirect costs of MS disease.</p> <p>Prezioso Carla was supported by the Italian Ministry of Health (Starting Grant: SG-2018-12366194).</p>
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.