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30,948 results for “Profile”
Data from: Characterising bird-keeping user-groups on Java reveals distinct behaviours, profiles and potential for change
<p>1. Over 70 million cage-birds are kept across 12 million households on the island of Java, Indonesia, fuelling serious concerns for the health of regional wild bird populations. Understanding the behaviours, preferences and demographic profiles of bird-keepers will guide attempts to reduce demand for wild birds and hence the impact of trade on wild populations and their host ecosystems.</p> <p>2. We profile three songbird-keeping user-groups based on interviews of nearly one thousand people across Java: Hobbyists, who own birds primarily as pets; Contestants, who own birds to enter in singing contests; and Breeders, who own birds to breed and train for resale or as a pastime.</p> <p>3. User-groups diverged in their bird-keeping habits and preferences. Hobbyists tended to own small numbers of inexpensive and typically native birds, while contestants and breeders owned larger numbers of often valuable birds. Hobbyists were far less likely to consider origin when buying a bird, owned a larger proportion of both potentially wild-caught and globally threatened birds, but showed no preference for any taxon. By contrast, owning relatively large numbers of lovebirds (Agapornis spp.) and Zebra Doves (Geopelia striata) were key characteristics of contestants, while breeders owned the largest number of birds and species, in particular White-rumped Shamas (Kittacincla malabarica). Within a two-year period, user-group membership was fluid, with much transitioning between non-bird ownership and hobbyists, recruitment of non-bird owners to contestants, and movement both in and out of the breeder group.</p> <p>4. Our study provides behavioural change efforts with demographic and geographic profiles to target bird-keepers, who tended to be more affluent, urban and live in the eastern provinces. Among bird-keepers, hobbyists tended to be middle-aged and live in the western provinces, contestants were younger urban bird-keepers employed in business, and breeders were commoner in the eastern provinces, reflecting the cultural importance of bird-keeping among the Javanese.</p> <p>5. Efforts to increase the sustainability of bird-keeping in Java should focus on emphasising the importance of captive-bred birds, in particular to hobbyists, the largest user-group, whose bird-keeping behaviour poses the biggest threat to wild bird populations, whilst also incentivising legitimate breeding enterprises among contestants and breeders.</p>
Data from: Social effects on age-related and sex-specific immune cell profiles in a wild mammal
<p>Evidence for age-related changes in innate and adaptive immune responses is increasing in wild populations. Such changes have been linked to fitness, and knowledge of the factors driving immune response variation is important for understanding the evolution of immunity. Age-related changes in immune profiles may be due to factors such as immune system development, sex-specific behaviour and responses to environmental conditions. Social environments may also contribute to variation in immunological responses, for example, through transmission of pathogens and stress arising from resource and mate competition. Yet, the impact of the social environment on age-related changes in immune cell profiles is currently understudied in the wild. Here, we tested the relationship between leukocyte cell composition (proportion of neutrophils and lymphocytes [innate and adaptive immunity, respectively] that were lymphocytes) and age, sex, and group size in a wild population of European badgers (<i>Meles meles</i>). We found that the proportion of lymphocytes in early-life was greater in males in smaller groups compared to larger groups, but with a faster age-related decline in smaller groups. In contrast, the proportion of lymphocytes in females was not significantly related to age or group size. Our results provide evidence of sex-specific age-related changes in immune cell profiles in a wild mammal, which are influenced by the social environment.</p>
Data for: Arctic mid-winter phytoplankton growth revealed by autonomous profilers
<p>These two files capture the bulk of the data behind our study "Arctic mid-winter phytoplankton growth revealed by autonomous profilers", published in Science Advances: <a href="https://advances.sciencemag.org/content/6/39/eabc2678">https://advances.sciencemag.org/content/6/39/eabc2678</a></p> <p>Specifically, "Baffin-Bay-2017-19-BGC-floats.csv" contains vertical profiles of optical, biogeochemical, and hydrographic data as sampled by the biogeochemical Argo floats. "Baffin-Bay-2017-19-lightfield-model.csv" contains vertical profiles of daily photosynthetically available radiation as modelled following A. Morel, Light and marine photosynthesis: A spectral model with geochemical and climatological implications. Prog. Oceanogr. 26, 263–306 (1991).</p> <p>These data were sampled by autonomous BGC Argo floats from July 2017 through July 2019 in Baffin Bay, an Arctic sea situated between Nunavut (Canada) and Greenland.</p> <p>Our study makes use of several other ancillary data sets. These are archived together with the complete workflow to produce the analysis and manuscript at doi:10.5281/zenodo.3945046.</p> <p>These data were collected and made freely available by the International Argo Program and the national programs that contribute to it. (http://www.argo.ucsd.edu, http://argo.jcommops.org). The Argo Program is part of the Global Ocean Observing System. See <a href="https://doi.org/10.17882/42182">https://doi.org/10.17882/42182</a></p>
DNA methylation profiling and genomic analysis in 20 children with short stature who were born small-for-gestational age
<p><b><span>Purpose:</span></b> In a significant proportion of children born small-for-gestational age (SGA) with failure of catch-up growth, the etiology of short stature remains unclear after routine diagnostic work-up. We wanted to investigate if extensive analysis of the (epi)genome can unravel the cause of growth failure in a significant portion of these children.</p> <p><b><span>Patients and Methods:</span></b><span> Twenty </span><span>SGA</span><span> children treated with growth hormone (GH) because of short stature were selected from the BELGROW database of the Belgian Society for Pediatric Endocrinology and Diabetology </span>for<span> exome sequencing, SNP array and genome-wide methylation analysis to identify the (epi)genetic cause. First year response to GH was compared to the response of SGA patients in the KIGS database.</span></p> <p><b><span>Results:</span></b><span> We identified (likely) pathogenic variants in 4 children (from 3 families) using exome sequencing and found pathogenic CNV in 2 probands using SNP array. In a child harboring a <i>NSD1</i>-containing microduplication, we identified a DNA methylation signature that is opposite to the genome-wide DNA methylation signature of Sotos syndrome. Moreover, we observed multi-locus imprinting disturbances in two children in whom no other genomic alteration could be identified. Five out of 6 children with a genetic diagnosis had an "above average" response to GH.</span></p> <p><b><span>Conclusions: </span></b><span>The study indicates that a more advanced approach with deep genotyping can unravel unexpected (epi)genomic alterations in SGA children with persistent growth failure. Most SGA children with a genetic diagnosis had a good response to GH treatment.</span></p>
RVDB-prot, a reference viral protein database and its HMM profiles
<p>We present RVDB-prot, a database corresponding to the protein equivalent of the nucleic acid reference virus database RVDB. Protein databases can be helpful to perform more sensitive protein sequence comparisons. Similarly to its homologous public repository, RVDB-prot aims to provide reliable and accurately annotated unique entries, while including also an Hidden Markov Model (HMM) protein profiles database for distant protein searching.</p>
Profiling the REACH-chemical space with Generative Topographic Mapping
<p>The REACH (Registration Evaluation Authorization and restriction of Chemicals) regulation requires from industries the reporting of hazard data for substances placed on the market. Thanks to the registration procedure initiated in 2007, a large REACH database [1] of well defined (eco)toxicological properties has been created. The REACH-chemical space is defined by more than 21’500 compounds registered in the REACH database.</p> <p>Considering the high number of chemicals and endpoints for which experimental data is available, the ability to visualize this chemical space as well as to profile a compound integrating several key properties at once is a growing need.</p> <p>Here, the data distribution in REACH chemical space was visualized and analysed with the help of 2-dimensional Generative Topographic Map (GTM). Similarly to geographical map, on GTM, each object (compound) is visualized as a datapoint. Moreover, compounds possessing similar properties tend to be located in neighbourhood. The third dimension can be added in order to display a distribution of the given (eco)toxicological property (such-called “property landscape”), which can further be used for property assessment of new compounds projected on the map. </p> <p>We report the universal REACH map which accommodates 11 endpoints, covering environmental fate, and (eco)toxicological properties. This map is able to provide predictions for each property, and demonstrates acceptable predictive performance in cross-validation: balanced accuracy ranges from 0.60 to 0.78. Superposition of different property landscapes allows to delineate the “areas of interest” populated by molecules possessing desirable (eco)toxicological profile.</p>
Data from: Post-ejaculation thermal stress causes changes to the RNA profile of sperm in an external fertiliser
<p>Sperm cells experience considerable post-ejaculation environmental variation. However, little is known about whether this affects their molecular composition, likely due to the assumption that sperm are transcriptionally quiescent. Nevertheless, recent evidence shows sperm have distinct RNA profiles that affect fertilisation and embryo viability. Moreover, RNAs are expected to be highly sensitive to extracellular changes. One such group of RNAs are heat shock protein (hsp) transcripts, which function in stress responses and are enriched in sperm. Here, we exploit the tractability of the mussel <i>Mytilus galloprovincialis </i>to exposed paired samples of ejaculated sperm to ambient (19 °C) and increased (25 °C) temperatures, then measure (a) sperm motility phenotypes, and (b) mRNA levels of two target genes (<i>hsp70 </i>and <i>hsp90</i>) and several putative reference genes. We find no phenotypic changes in motility, but reduced mRNA levels for <i>hsp90 </i>and the putative reference gene <i>gapdh</i> at 25 °C. This could reflect either decay of specific RNAs, or changes in translation and degradation rates of transcripts to maintain sperm function under stress. These findings represent the first evidence for changes in sperm RNA profiles due to post-ejaculation environments, and suggest that sperm may be more vulnerable to stress from rising temperatures than currently thought.</p>
Electron concentration and ionization rate profiles during solar X-ray flares
<p>The files contain eletron concentration <em>Ne</em> and ionization rate <em>q</em> profiles during solar X-ray flares that occurred on 24-25 October 2013 and 9-10 June 2014. The altitude range is 50-90 km.</p> <p>Values of eletron concentration and ionization rate were calculated on six VLF paths: from European transmitters GBZ, ICV, FTA, GQD, DHO, TBB to Mikhnevo geophysical observatory (55°N 38°E).</p> <p>The data is presented as MATLAB files. Each .mat file contains data and variable "description" with data's structure information.</p>
Sphingolipid serum profiling in vitamin D deficient and dyslipidemic obese dimorphic adults
<p>Recent studies on Saudi Arabians indicate a prevalence of dyslipidemia and vitamin D deficiency (25(OH)D) in both normal weight and obese subjects. In the present study the sphingolipid pattern was investigated in 23 normolipidemic normal weight (NW), 46 vitamin D deficient dyslipidemic normal weight (-vitDNW) and 60 vitamin D deficient dyslipidemic obese (-vitDO) men and women by HPTLC-primuline profiling and LC-MS analyses. Results indicate higher levels of total ceramide (Cer) and dihydroceramide (dhCers C18–22) and lower levels of total sphingomyelins (SMs) and dihydrosphingomyelin (dhSM) not only in -vitDO subjects compared to NW, but also in –vitDNW individuals. A dependency on body mass index (BMI) was observed analyzing specific Cer acyl chains levels. Lower levels of C20 and 24 were observed in men and C24.2 in women, respectively. Furthermore, LC-MS analyses display dimorphic changes in NW, -vitDNW and –vitDO subjects. In conclusion, LC-MS data identify the independency of the axis high Cers, dhCers and SMs from obesity <em>per se</em>. Furthermore, it indicates that long chains Cers levels are specific target of weight gain and that circulating Cer and SM levels are linked to sexual dimorphism status and can contribute to predict obese related co-morbidities in men and women.</p>
The clinical impact of high-profile animal-based research reported in the UK national press: a detailed discussion of articles from 1995, and full search results from the Nexis database
<p><span><span><span><span><span><span><span><span><span><span><span><b>Objectives</b>: We evaluated animal-based biomedical 'breakthroughs' reported in the UK national press in 1995 (25 years prior to the conclusion of this study). Based on evidence of over-speculative reporting of biomedical research in other areas (e.g. press releases and scientific papers), we specifically examined animal research in the media, asking, "In a given year, what proportion of animal research 'breakthroughs' published in the UK national press had translated, more than 20 years later, to approved interventions?"</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Methods</b>: We searched the Nexis media database (LexisNexis.com) for animal-based biomedical reports in the UK national press. The only restrictions were that the intervention should be specific, such as a named drug, gene, biomedical pathway, to facilitate follow-up, and that there should be claims of some clinical promise. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Main Outcome Measures</b>: Were any interventions approved for human use? If so, when and by which agency? If not, why, and how far did development proceed? Were any other, directly related interventions approved? Did any of the reports over-state human relevance?</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results</b>: Over-speculation and exaggeration of human relevance was evident in all the articles examined. Of 27 unique published 'breakthroughs', only one had clearly resulted in human benefit. Twenty were classified as failures, three were inconclusive, and three were partially successful.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions</b>: The results of animal-based pre-clinical research studies are commonly over-stated in media reports, to prematurely imply often-imminent 'breakthroughs' relevant to human medicine.</span></span></span></span></span></span></span></span></span></span></span></p>
Coffea canephora lipid profile
<p>Coffee (<i>Coffea</i> spp.) is one of the most popular refreshing beverage globally. Coffee lipid diversity has untapped potential for improving coffee marketability because lipids contribute significantly to both the health benefits and cup quality of coffee. However, there have not been extensive studies of lipids of <i>C. canephora</i> genotypes. In this study, Ultra-performance liquid chromatography coupled with mass spectrometry (UPLC–MS) profiling of lipid molecules was performed for 30 genotypes consisting of 15 cultivated and 15 conserved genotypes of <i>C. canephora</i> in Southwestern Nigeria. We identified nine classes of lipids in the 30 genotypes which belong to the 'Niaouli', 'Kouillou' and 'Java Robusta' group: among these, the most abundant lipid class was the triacylglycerols, followed by the fatty acyls group. Although 'Niaouli' diverged from the 'Kouillou' and 'Java Robusta' genotypes when their lipid profiles were compared, there was greater similarity in their lipid composition by multivariate analysis, compared to that observed when their primary metabolites and especially their secondary metabolite profiles were examined. However, distinctions could be made among genotypes. Members of the fatty acyls group had the greatest power to discriminate among genotypes, however, lipids that were low in abundance e.g. a cholesterol ester (20:3), and phosphotidylethanolamine (34:0) were also helpful to understand the relationships among <i>C. canephora</i> genotypes. The two lipid diversity identified among the <i>C. canephora</i> genotypes examined correlated with their overall Single Nucleotide Polymorphism diversity assessed by genotype-by-sequencing, will be exploited, and included in coffee cup quality improvement.</p>
Memory tracing, profiling and autotuning for containerised cloud functions
<p>This dataset contains CSV files with the raw measurements of 4x10 traces as well as scripts and reference data for distinguishing two usage profiles based on raw measurements of 2x20 traces. It accompanies the publication «Resource Management for Cloud Functions with Memory Tracing, Profiling and Autotuning» presented at WoSC6 @ Middleware 2020.</p>
Integrating QSAR models predicting acute contact toxicity and mode of action profiling in honey bees (A. mellifera): Data curation using open source databases, performance testing and validation
<p>This excel file (DOI: <a href="https://doi.org/10.5281/zenodo.3755675">https://doi.org/10.5281/zenodo.3755675</a>) provides the collection of raw data used for developing the first integrative Quantitative Structure-Activity Relationship (QSAR) model using EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase i) to predict acute contact toxicity (LD<sub>50</sub>) and ii) to profile the Mode of Action (MoA) of pesticides active substances in honey bees (<em>Apis mellifera</em>)<em>. </em>Chemical identifiers (e.g. SMILES, CAS n., InChI) and acute contact toxicity data (LD<sub>50</sub>) on honey bees were used to develop and validate i) a two-category QSAR model (toxic/non-toxic; n=411) (sensitivity =0.93), specificity =0.85), balanced accuracy =0.90), Matthews correlation coefficient MCC=0.78), and ii) a regression-based model (n=113) (R2=0.74; MAE=0.52). Similarly, current study proposes the first MoA profiling for 113 pesticides active substances and the first harmonised MoA classification scheme for acute contact toxicity in honey bees, including LD<sub>50s</sub> data points from three different databases such as EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase. Such classification allows to further define MoAs and the target site of Plant Protection Products (PPPs) active substances, thus enabling regulators and scientists to refine chemical grouping and toxicity extrapolations for single chemicals and component-based mixture risk assessment of multiple chemicals.</p> <p>The full data collection and analysis of QSAR models, toxicity data (LD<sub>50</sub>) and Mode of Action (Moa) data are described in Carnesecchi et al., 2020 (DOI: doi.org/10.1016/j.scitotenv.2020.139243).</p> <p>This work was supported by the European Food Safety Authority (EFSA) [contract number: OC/EFSA/SCER/2018/01 and NP/EFSA/AFSCO/2016/02 (Edoardo Carnesecchi)].</p>
Dietary intake among urban adults with diabetes: COPEN (Colombian Nutritional Profiles), a cross-sectional study
<p><strong>Objectives: </strong>The prevalence of diabetes is increasing rapidly in developing countries. We aimed to estimate the prevalence of diabetes and to describe its main correlates and associated dietary intake in urban adults from Colombia.</p> <p><strong>Setting: </strong>The Colombian Study of Nutritional Profiles (COPEN) was a population-based, cross-sectional, multi-stage probabilistic sampling survey designed to represent the five main Colombian cities.</p> <p><strong>Participants:</strong> Between June and November 2018, we studied 736 non-pregnant participants aged 18 or older. Diabetes was defined as a random plasma glucose ˃= 200 mg/dL, self-reported prior diagnosis of diabetes or use of any oral or injectable antidiabetic agent(s). Participants also fulfilled a detailed 157-item food frequency questionnaire (FFQ).</p> <p><strong>Primary and secondary outcome measures:</strong> Prevalence of diabetes, dietary intake of key nutrients, achievement of dietary goals among individuals with diabetes.</p> <p><strong>Results: </strong>The overall estimated prevalence of diabetes was 10.1%, with no difference by sex (9.6% in women, 10.8% in men, p=0.43). Socioeconomic level (SEL) correlated positively with diabetes prevalence, the absolute difference in prevalence for the highest vs lowest SEL was 5.6%. The association between diabetes and education level depended on sex, diabetes was more prevalent among more educated men and less educated women. Abdominal obesity was associated with a 65% increase in diabetes prevalence among men, and a 163% increase in women. The proportion of non-achievement of dietary intake goals among participants with diabetes was 94.4% for saturated fats, 86.7% for sodium, 84.4% for fiber and 80% for trans fats. In multivariate logistical regression models, age was the strongest independent correlate of diabetes.</p> <p><strong>Conclusions: </strong>Self-reported diabetes was highly prevalent among Colombian adults, much more than described in most official reports. There were large differences by abdominal obesity status, region of residence, SEL and educational level. The proportion of individuals with diabetes meeting dietary recommendations was alarmingly low.</p>
Demographic Profile for Decreasing the Rate of Motorcycle Accidents in Malaysia Survey
<p>Table 2: Demographic profile of the survey</p>
Data and code for analysis of ion currents in mass spectrometric profiles using glioblastoma tissue
<p>This upload contains all replication material for "Analysis of ion currents in mass spectrometric profiles using glioblastoma tissue" (forthcoming).</p> <p><strong>Authors:</strong> E.S. Zhvansky, A.A. Sorokin, D.S. Zavorotnyuk, V.A. Shurkhay, D.S. Bormotov, A.A. Potapov.</p> <p><strong>Code and data are located within spectra_data_and_code.zip.</strong> Code is written in MATLAB R2019b.</p> <p>Please find the readme.txt for code using and the code to replicate the main findings of the paper (figures_replication.m).</p>
Single-cell profiling identifies pre-existing CD19-negative subclones in a B-ALL patient with CD19-negative relapse after CAR-T therapy
<p>This repository contains necessary files for reproducing the analysis in Rabilloud, Potier et al. (2020). The instructions for reproducing the analysis are given in github (https://github.com/Delphine-Potier/B-ALL-CAR-T) and extra files are available in GEO/SRA (GSE153697 ; SRP269742).</p>
Health profile of elderly users of a town public program of physical activity: a cross-sectional study
<p>This repository contains the full database generated in the study entitled "Health profile of elderly users of public physical activity programs in the city of Porto Alegre" (Hospital de Clínicas de Porto Alegre). This project was approved by the Institutional Review Board (IRB) in 2018 and carried out between 2018-2020.</p> <p> </p>
Lipid profile and differential lipids in serum related to severity of community-acquired pneumonia--a pilot study
<p>This study aimed to characterize the lipidomic responses to community-acquired pneumonia (CAP) and provide new insight into the underlying mechanisms of pathogenesis and potential avenues for diagnostic and therapeutic treatments. Lipidomic profiles were generated using ultra high-performance liquid chromatography with tandem mass spectrometry (UHPLC-MS/MS) platform. Spearman’s rank correlation test and multiple linear regression analysis were applied to explore the lipids correlation with clinical parameters. Kaplan–Meier methods were used to build 30-day survival curves. From UHPLC-MS/MS a total of 509 and 195 lipid species were detected in the positive and negative ionisation mode respectively. Positive ionisation covered six lipid classes (glycerol-phospholipids, glycerolipids, sphingolipids, sterol-lipids, prenol-lipids, and fatty acid), whilst negative ionisation covered three (glycerol-phospholipids, sphingolipids, fatty acid). Four lipids were selected as target: PC (16:0_18:1), PC (18:2_20:4), PC (36:4), and PC (38:6). Areas under the curve for all four lipids were superior to pneumonia severity index and CURB-65 (confusion, urea, respiratory rate, blood pressure, and age ≥65 years old) for discriminating severe CAP from CAP. PC (18:2_20:4), PC (38:6), and PC (36:4) were negatively related to fraction of inspiration O<sub>2</sub>; PC (16:0_18:1) and PC (18:2_20:4) had significantly linear relationship with the procalcitonin. Patients with an elevated level of PC (16:0_18:1) had significantly increased hospital stays. As the relative abundance of PC (18:2_20:4), PC (36:4), and PC (38:6) decreased, the length of hospitalization days and 30-day mortality rate increased significantly (all log-rank <em>p</em><0.05). Therefore, the UHPLC-MS/MS platform’s serum lipidomics approach can help reveal lipid changes during CAP and establish lipid profiles related to disease severity.</p>
PAN20 Authorship Analysis: Celebrity Profiling
<p><strong>Synopsis</strong></p> <ul> <li>Task: Given the Twitter feeds of the followers, determine the occupation, age, and gender of a celebrity.</li> <li>Evaluation: [<a href="https://github.com/pan-webis-de/pan-code/tree/master/clef20/celebrity-profiling">code</a>]</li> <li>Baselines: [code]</li> <li>See the full Shared Task [<a href="https://pan.webis.de/clef20/pan20-web/celebrity-profiling.html">here</a>]</li> </ul> <p>The datasets contain three files: a <code>follower-feeds.ndjson</code> as input, a <code>labels.ndjson</code> as output, and a <code>celebrity-feeds.ndjson</code> for additional study. Each file lists all celebrities as JSON objects, one per line and identified by the <code>id</code> key. The training dataset contains 1,920 celebrities and is balanced towards gender and occupation. The supplement dataset contains the remaining 8,265 celebrities but is not balanced in any way.</p> <p> </p> <p>The <code>follower-feeds.ndjson</code> contains the English tweets of at least 10 followers for each celebrity, with at least 50 tweets each excluding retweets.</p> <pre><code class="language-json">{"id": 1234, "text": [["a tweet of follower 1", "another tweet of follower 1", ...], ["a tweet of follower 2", ...], ...]} {"id": 5678, "text": [["a tweet of follower 1", "another tweet of follower 1", ...], ["a tweet of follower 2", ...], ...]}</code></pre> <p> </p> <p>The <code>celebrity-feeds.ndjson</code> contains the Twitter timelines of the original celebrities, formatted as:</p> <pre><code class="language-json">{"id": 1234, "text": ["a tweet of celebrity 1", "another tweet of celebrity 1", ...]} {"id": 5678, "text": ["a tweet of celebrity 2", "another tweet", ...]}</code></pre> <p> </p> <p>The <code>labels.ndjson</code> contains the classes that should be predicted. A valid submission has to produce a <code>labels.ndjson</code> given the <code>follower-feeds.ndjson</code> and contain an entry for each <code>id</code> given in the input.</p> <pre><code class="language-json">{"id": 1234, "occupation": "sports", "gender": "female", "birthyear": 2002} {"id": 5678, "occupation": "professional", "gender": "male", "birthyear": 1990}</code></pre> <p>The following values are possible for each of the traits:</p> <pre><code>occupation := {sports, performer, creator, politics} birthyear := {1940, ..., 1999} gender := {male, female}</code></pre> <p> </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.