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10,006 results for “randomness”
What evidence exists for myofunctional therapy with prefabricated appliances? A systematic review with meta-analyses of randomized trials
<p>Dataset for all analysis in the review</p>
Dataset for Spence et al., "Availability of study protocols for randomized trials published in high-impact medical journals: cross-sectional analysis" (CITATION)
<p>Contains our extraction sheets (as SAS data files), code to calculate the values in the tables in our manuscript, and a supplemental file with additional notes on methods used in our study.</p>
Random Forest Ranks
<p>Details of Random Forest classifiers based on genotype to feature & feature to <em>Prakriti </em>analysis</p>
Data for: To Tweet or Not to Tweet, That is the Question: A Randomized Trial of Twitter Effects in Medical Education
<p>This is the raw data for the manuscript: To Tweet or Not to Tweet, That is the Question: A Randomized Trial of Twitter Effects in Medical Education. The abstract for the study is as follows: </p> <p>Introduction: Many medical education journals use Twitter to garner attention for their articles. The purpose of this study was to test the effects of tweeting on article page views and downloads.</p> <p>Methods: The authors conducted a randomized trial using <em>Academic Medicine</em> articles published in 2015. Beginning in February through May 2018, one article per day was randomly assigned to a Twitter (case) or control group. Daily, an individual tweet was generated for each article in the Twitter group that included the title, #MedEd, and a link to the article. The link delivered users to the article’s landing page, which included immediate access to the HTML full text and a PDF link. The authors extracted HTML page views and PDF downloads from the publisher. To assess differences in page views and downloads between cases and controls, a time-centered approach was used, with outcomes measured at 1, 7, and 30 days.</p> <p>Results: In total, 189 articles (94 cases, 95 controls) were analyzed. After days 1 and 7, there were no statistically significant differences between cases and controls on any metric. On day 30, HTML page views exhibited a 63% increase for cases (M=14.72, SD=63.68) when compared to controls (M=9.01, SD=14.34; incident rate ratio=1.63, p=0.01). There were no differences between cases and controls for PDF downloads on day 30.</p> <p>Discussion: Contrary to the authors’ hypothesis, only one statistically significant difference in page views between the Twitter and control groups was found. These findings provide preliminary evidence that after 30 days a tweet can have a small positive effect on article page views.</p>
Random satellite images of buildings
<p>This dataset contains satellite images. In the center of each image there is a building, whose roof can be visually identified. </p> <p>More information can be found on project website <a href="https://github.com/NHERI-SimCenter/BRAILS">https://github.com/NHERI-SimCenter/BRAILS</a></p> <p>This material is based upon work supported by the NSF National Science Foundation under Grant No. 1612843.</p>
Ivermectin as an adjuvant to anti-epileptic treatment in persons with onchocerciasis-associated epilepsy: a randomized proof-of-concept clinical trial
<p>Open dataset for a proof-of-concept randomized clinical trial with a four month follow-up period was conducted to investigate whether ivermectin had an added value in decreasing the frequency of seizures in onchocerciasis-infected persons with epilepsy (PWE). The 90 PWE with epilepsy were randomly allocated to the treatment arms: phenobarbital + ivermectin (n = 44) or phenobarbital alone (n = 46). Two weeks after randomization, a follow-up visit was scheduled to assess the early treatment outcomes and potential side effects of AED. After the second week visit, PWE had to report to the health center for further follow-up consultations by the project nurses and medical doctors, scheduled at 1, 2, 3 and 4 months. By March 2018, 89 (99%) participants in both arms attended the final follow-up visit. The trial was conducted in five onchocerciasis-endemic villages within the Logo health zone in the Ituri province, DRC: Draju, Kanga, Wala, Ulyeko and Thedeja. </p> <p>At baseline, information was collected on seizure semiology, seizure frequency, epilepsy risk factors, relevant medical history, previous AED and ivermectin use. Weight and height measurements were carried out on all participants, followed by a complete physical and neurological examination performed by one of the medical doctors who had been trained in epilepsy, or by the neurologist. Cognitive impairment was assessed by determining whether the participant was well oriented in time and place, whether he/she could remember his/her name, was coherent in speech, and was obedient to orders; abnormal behaviour such as unexplained aggressive attitudes and/or wandering episodes were also noted.</p> <p> </p> <p> </p>
Figure 2 in A new policy to implement CONSORT guidelines for surgical randomized controlled trials
Figure 2. - Distribution of Smilosicyopus species.
IBSA incidents in India and impact on victims: Random sample
<p>Image-based sexual abuse (IBSA) is underreported in India like other sexual crimes. In the statistics published by the National Crime Records Bureau (NCRB), the distribution of image-based abuse content is clubbed with the distribution of pornography. This method of sorting and logging offences makes it hard to discern incidents of image-based abuse from consensual pornography. Thus, NCRB statistics about the incidence of IBSA are not conclusive. This random sample of about 50 news reports of IBSA incidents that occurred in different parts of the country since 2013 shows that the most frequent impact on victims is suicide or attempted suicide. It also shines a light on the actions of perpetrators that tend to occur in conjunction with the non-consensual capture, creation, publishing or distribution of nude, partially nude or sexually explicit images and videos.</p> <p><strong>Rohini Lakshané</strong> created this document in <strong>June 2024</strong> as a part of a series of articles on IBSA for<strong><a href="http://factordaily.com/"> FactorDaily </a></strong>.</p> <p>The first article in the series, which references this dataset, is published here: <a href="https://factordaily.com/the-crying-shame-of-image-based-abuse/"><strong>The crying shame of image-based abuse</strong></a></p> <p>This document contains a random sample that is meant to be indicative, not exhaustive. </p> <p>The sample was created from top search results on <strong>Google News</strong> with the country setting restricted to India. </p> <p><strong>Search strings</strong>: revenge porn, morphed nudes, leaked nudes, leaked nude videos, leaked videos OYO hotel</p> <p>The contents of <strong>Column E (Actions of perpetrators in addition to non-consensual shooting and/ or distribution)</strong>, <strong>Column F (Impact on victims)</strong> and <strong>Column G (Additional notes/ observations)</strong> are noted solely on the basis of the contents of the news reports. </p> <p>In addition, this spreadsheet contains 8 incidents/ cases that were high-profile, that is, they received much public and media attention, and 4 reports that the researcher considers noteworthy.</p> <p>This dataset avoids the use of the word "blackmail" because of its racist connotations. The words "extortion" and "intimidation" are used instead. </p> <p>Data is provided AS-IS, without warranty as to accuracy or completeness.</p> <p><strong>(Please download and use the latest version of this record, not the prior ones.)</strong></p>
SimCATS_GaAs_v1_random_variations_v2
<h1>Dataset: SimCATS_GaAs_v1_random_variations_v2</h1> <p>Simulated data from the geometric SimCATS model (<a title="SimCATS GitHub Repository" href="https://github.com/f-hader/SimCATS" target="_blank" rel="noopener">GitHub Repository</a>, <a title="SimCATS Paper" href="https://ieeexplore.ieee.org/document/10640289" target="_blank" rel="noopener">Paper</a>) for benchmarking of semiconductor quantum dot tuning algorithms.</p> <p>Generated using <a title="Jupyter Notebook: Dataset Generation" href="https://github.com/f-hader/SimCATS-Datasets/blob/v2.4.0/notebooks/dataset_gen%5Brandom_variations%5D.ipynb" target="_blank" rel="noopener">this Jupyter Notebook</a> and used for the final evaluation in <a title="Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams" href="https://doi.org/10.36227/techrxiv.172963185.53119182/v1" target="_blank" rel="noopener">Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams</a>.</p> <h2>Key Facts</h2> <ul> <li>Contains pink, white & random telegraph noise, transition blurring, and dot jumps</li> <li>Random variations of charge transitions, sensor, and distortions</li> <li>1.000 randomly sampled configurations with 100 CSDs each (in total: 100.000 CSDs) </li> </ul> <h2>Usage</h2> <p>To load the data, e.g. for calculating metrics, please have a look at SimCATS-Datasets (<a title="SimCATS-Datasets GitHub Repository" href="https://github.com/f-hader/SimCATS-Datasets" target="_blank" rel="noopener">GitHub Repository</a>, <a title="ReadTheDocs" href="https://simcats-datasets.readthedocs.io/" target="_blank" rel="noopener">ReadTheDocs</a>). The dataset can be loaded as numpy arrays using the function <a title="load_dataset documentation" href="https://simcats-datasets.readthedocs.io/en/latest/autoapi/simcats_datasets/loading/index.html#simcats_datasets.loading.load_dataset" target="_blank" rel="noopener">load_dataset</a> or as PyTorch Dataset class (for machine learning purposes) using the class <a title="SimcatsDataset documentation" href="https://simcats-datasets.readthedocs.io/en/latest/autoapi/simcats_datasets/loading/pytorch/index.html#simcats_datasets.loading.pytorch.SimcatsDataset" target="_blank" rel="noopener">SimcatsDataset</a>.</p>
Random samples of SARS-CoV-2 sequences for Germany
<p>Mutation profiles and meta data for SARS-CoV-2 lineages in Germany submitted via DESH to the Robert Koch Institute (<a href="https://github.com/robert-koch-institut/SARS-CoV-2-Sequenzdaten_aus_Deutschland">https://github.com/robert-koch-institut/SARS-CoV-2-Sequenzdaten_aus_Deutschland</a>), containing a subset from https://doi.org/10.5281/zenodo.12806236.<br>For this CSV file, the raw data (fasta) was processed with covSonar (https://github.com/rki-mf1/covsonar) and the resulting database queried for random samples (RKI_STICHPROBE, DESH_STICHPROBE) and with dates ranging from 2021-01-01 until 2024-07-24.</p>
HINC dataset from: Homeopathic treatment as an add-on therapy may improve quality of life and prolong survival in patients with non-small cell lung cancer: A prospective, randomized, placebo-controlled, double-blind, three-arm, multicenter study
<p class="CxSpFirst"><b>Background:</b> Patients with advanced non-small cell lung cancer (NSCLC) have limited treatment options. Alongside conventional anticancer treatment, additive homeopathy might help to alleviate side effects of conventional therapy. The aim of the present study was to investigate whether additive homeopathy might influence quality of life (QoL) and survival in NSCLC patients.</p> <p class="CxSpMiddle"><b>Methods:</b> In this prospective, randomized, placebo-controlled, double-blind, three-arm, multicenter, phase III study, we evaluated the possible effects of additive homeopathic treatment compared with placebo in NSCLC stage IV patients with respect to QoL in the two randomized groups and survival time in all three groups. Treated patients visited the outpatients' centers every 9 weeks. 150 Patients with stage IV NSCLC were included in the study. 98 received either individualized homeopathic remedies (n=51) or placebo (n=47) in a double-blinded fashion. 52 control patients without any homeopathic treatment were observed for survival only. The constituents of the different homeopathic remedies were mainly of plant, mineral or animal origin. The remedies were manufactured by stepwise dilution and succussion, thereby preparing stable Good Manufacturing Practice grade formulations.</p> <p class="CxSpMiddle"><b>Results:</b> QoL as well as functional and symptom scales showed significant improvement in the homeopathy group when compared with placebo after 9 and 18 weeks of homeopathic treatment (p<0.001). Median survival time was significantly longer in the homeopathy group (435 days) vs placebo (257 days; p=0.010) as well as vs control (228 days; p<0.001). Survival rate in the homeopathy group differed significantly from placebo (p=0.020) and from control (p<0.001).</p> <p class="CxSpMiddle"><b>Conclusion:</b> QoL improved significantly in the homeopathy group compared with placebo. In addition, survival was significantly longer in the homeopathy group versus placebo and control. A higher QoL might have contributed to the prolonged survival. The study suggests that homeopathy positively influences not only QoL but also survival. Further studies including other tumor entities are warranted.</p>
Mapping of glacial lakes using Sentinel-1 and Sentinel-2 data and a random forest classifier: Strengths and challenges
<p>The water body detection and mapping algorithm named 'glakemap' that I designed was aimed at specifically mapping glacial lakes across alpine regions where their detection and mapping are challenged by many factors such as shadows, cloud cover, turbidity, and ice surface. The algorithm uses Copernicus Sentinel-1 and -2 satellites data and machine learning model (random forest) in an integrated manner to automatically classify glacial lakes from other surface features. In specific, the algorithm takes Sentinel-1 and -2 satellites data as the main inputs. It calculates radar backscatter and Normalised Difference Water Indices (NDWIs) using these datasets, respectively. The radar backscatter and NDWIs products (images) are segmented using a set of rules producing many polygons including lake polygons. Lake polygons are then automatically separated/retained using the random forest model which is trained using features relevant to lakes.</p> <p>The dataset is also available at https://www.mountcryo.org/</p>
Raw data for the article: A Randomized Controlled Trial of Antithrombin Supplementation During Extracorporeal Membrane Oxygenation
<p><strong>Objectives: </strong>Supplementation of antithrombin might decrease the amount of heparin needed to achieve a given anticoagulation target during extracorporeal membrane oxygenation. However, exogenous antithrombin itself may increase the risk of bleeding. We conceived a study to evaluate the effect of antithrombin supplementation in adult patients requiring venovenous extracorporeal membrane oxygenation for respiratory failure on heparin dose, adequacy of anticoagulation, and safety.</p> <p><strong>Design: </strong>Prospective randomized controlled trial.</p> <p><strong>Setting: </strong>ICUs of two Italian referral extracorporeal membrane oxygenation centers.</p> <p><strong>Patients: </strong>Adult patients requiring venovenous extracorporeal membrane oxygenation for severe respiratory failure and unfractionated heparin for systemic anticoagulation.</p> <p><strong>Interventions: </strong>Before extracorporeal membrane oxygenation start, patients were randomized to either receive antithrombin concentrate to maintain a plasmatic level 80-120% (treatment) or not (control) during the extracorporeal membrane oxygenation course.</p> <p><strong>Measurements and main results: </strong>The primary outcome was the total amount of heparin required to maintain activated partial thromboplastin time ratio 1.5-2. Secondary outcomes were anti-factor Xa, the incidence of hemorrhagic and thrombotic events, and the amount of blood products transfused. Twenty-four patients in the treatment group and 24 in the control group were included in the intention-to-treat analysis. Antithrombin was 109.5% (93.0-123.0%) in the treatment group and 84.0% (68.5-98.0%) in the control group (p = 0.001). Supplementation of antithrombin did not decrease heparin dose (13.5 international units/kg/hr [9.6-17.9 international units/kg/hr] vs 15.1 international units/kg/hr [10.7-18.3 international units/kg/hr] in the treatment and control group, respectively; p = 0.33) and anti-Factor Xa levels (0.4 international units/mL [0.3-0.5 international units/mL] vs 0.3 international units/mL [0.2-0.5 international units/mL] in the treatment group and control group respectively; p = 0.65). Bleeding, blood product transfusions, and thrombosis were not different in the two groups.</p> <p><strong>Conclusions: </strong>Antithrombin supplementation may not decrease heparin requirement nor diminish the incidence of bleeding and/or thrombosis in adult patients on venovenous extracorporeal membrane oxygenation.</p>
Data from: Computer-aided X-ray screening for tuberculosis and HIV testing among adults with cough in Malawi (the PROSPECT study): a randomized trial and cost-effectiveness analysis
<p>Suboptimal tuberculosis (TB) diagnostics and HIV contribute to the high global burden of TB. We investigated costs and yield from systematic HIV-TB screening, including computer-aided digital chest X-ray (DCXR-CAD). Suboptimal tuberculosis (TB) diagnostics and HIV contribute to the high global burden of TB. We investigated costs and yield from systematic HIV-TB screening, including computer-aided digital chest X-ray (DCXR-CAD).</p> <p>In this open, three-arm randomised trial, adults (≥18 years) with cough attending acute primary services in Malawi were randomised (1:1:1) to standard-of-care (SOC); oral HIV testing (HIV screening) and linkage to care; or HIV testing and linkage to care plus DCXR-CAD with sputum Xpert for high CAD4TBv5 scores (HIV-TB screening). Participants and study staff were not blinded to intervention allocation, but investigator blinding was maintained until final analysis. The primary outcome was time to TB treatment. Secondary outcomes included proportion with same-day TB treatment; prevalence of undiagnosed/untreated bacteriologically-confirmed TB on day 56; and undiagnosed/untreated HIV. Analysis was done on an intention to treat basis. Cost-effectiveness analysis used a health-provider perspective. Between 15/11/2018-27/11/2019, 8236 were screened for eligibility, with 473, 492, and 497 randomly allocated to SOC, HIV, and HIV-TB screening arms; 53 (11%), 52 (9%), and 47 (9%) were lost to follow-up, respectively. At 56 days, TB treatment had been started in 5 (1.1%) SOC, 8 (1.6%) HIV-screening, and 15 (3.0%) HIV-TB screening participants. Median (IQR) time to TB treatment was 11 (6.5-38), 6 (1-22) and 1 (0-3) days (hazard ratio for HIV-TB vs. SOC: 2.86, 1.04-7.87), with same-day treatment of 0/5 (0%) SOC, 1/8 (12.5%) HIV, and 6/15 (40.0%) HIV-TB screening arm TB patients (p=0.03). At day 56, 2 SOC (0.5%), 4 HIV (1.0%), and 2 HIV-TB (0.5%) participants had undiagnosed microbiologically-confirmed TB. HIV screening reduced the proportion with undiagnosed or untreated HIV from 10 (2.7%) in the SOC arm to 2 (0.5%) in the HIV-screening arm (risk ratio [RR]: 0.18, 0.04-0.83), and 1 (0.2%) in the HIV-TB screening arm (RR: 0.09, 0.01-0.71). Incremental costs were US$3.58 and US$19.92 per participant screened for HIV and HIV-TB; the probability of cost-effectiveness at a US$1200/quality-adjusted life-year (QALY) threshold were 83.9% and 0%. Main limitations were the lower than anticipated prevalence of tuberculosis and short participant follow-up period; cost and quality of life benefits of this screening approach may accrue over a longer time horizon.</p> <p>DCXR-CAD with universal HIV screening significantly increased the timeliness and completeness of HIV and TB diagnosis. If implemented at scale this has potential to rapidly and efficiently improve TB and HIV diagnosis and treatment.</p>
Full-coverage 1 km daily ambient PM2.5 and O3 concentrations of China in 2005-2017 based on multi-variable random forest model
<p>The aim of our study was to construct random forest models with high-performance, and estimate daily average PM<sub>2.5</sub> concentration and O<sub>3</sub> daily maximum 8h average concentration (O<sub>3</sub>-8hmax) of China in 2005-2017 at a spatial resolution of 1km×1km. The model variables included meteorological variables, satellite data, chemical transport model output, geographic variables and socioeconomic variables. Random forest model based on ten-fold cross validation was established, and spatial and temporal validations were performed to evaluate the model performance. According to our sample-based division method, the daily, monthly and yearly simulations of PM<sub>2.5</sub> gave average model fitting R<sup>2</sup> values of 0.85, 0.88 and 0.90, respectively; these R<sup>2</sup> values were 0.77, 0.77, and 0.69 for O<sub>3</sub>-8hmax, respectively. The meteorological variables and their lagged values can significantly affect both PM<sub>2.5</sub> and O<sub>3</sub>-8hmax simulations. During 2005-2017, PM<sub>2.5</sub> exhibited an overall downward trend, while ambient O<sub>3</sub> experienced an upward trend. Whilst the spatial patterns of PM<sub>2.5</sub> and O<sub>3</sub>-8hmax barely changed between 2005 and 2017, the temporal trend had spatial characteristic.</p> <p>Each dataset is the annual mean concentration of PM<sub>2.5</sub> or O<sub>3</sub>-8hmax based on the standard grid (Grid.csv) for that year. The coordinate system of the grid is WGS-84.</p>
Limitations of using surrogates for behaviour classification of accelerometer data: refining methods using random forest models in Caprids
<p>Animal-attached devices can be used on cryptic species to measure their movement and behaviour, enabling unprecedented insights into fundamental aspects of animal ecology and behaviour. However, direct observations of subjects are often still necessary to translate biologging data accurately into meaningful behaviours. As many elusive species cannot easily be observed in the wild, captive or domestic surrogates are typically used to calibrate data from devices. However, the utility of this approach remains equivocal. </p> <p>Here, we assess the validity of using captive conspecifics, and phylogenetically-similar domesticated counterparts (surrogate species) for calibrating behaviour classification. Tri-axial accelerometers and tri-axial magnetometers were used with behavioural observations to build random forest models to predict the behaviours. We applied these methods using captive Alpine ibex (Capra ibex) and a domestic counterpart, pygmy goats (Capra aegagrus hircus), to predict the behaviour including terrain slope for locomotion behaviours of captive Alpine ibex. </p> <p>Behavioural classification of captive Alpine ibex and domestic pygmy goats was highly accurate (> 98%). Model performance was reduced when using data split per individual, i.e., classifying behaviour of individuals not used to train models (mean ± sd = 56.1 ± 11%). Behavioural classifications using domestic counterparts, i.e., pygmy goat observations to predict ibex behaviour, however, were not sufficient to predict all behaviours of a phylogenetically similar species accurately (> 55%).</p> <p>We demonstrate methods to refine the use of random forest models to classify behaviours of both captive and free-living animal species. We suggest there are two main reasons for reduced accuracy when using a domestic counterpart to predict the behaviour of a wild species in captivity; domestication leading to morphological differences and the terrain of the environment in which the animals were observed. We also identify limitations when behaviour is predicted in individuals that are not used to train models. Our results demonstrate that biologging device calibration needs to be conducted using: (i) with similar conspecifics, and (ii) in an area where they can perform behaviours on terrain that reflects that of species in the wild.</p>
The influence of the statistical significance of results and spin on readers' interpretation of the results in an abstract for a hypothetical clinical trial: A randomized trial
<p><strong>Objectives</strong>: To assess the impact on readers' interpretation of the results reported in an abstract for a hypothetical clinical trial with 1) a statistically significant result, 2) spin, 3) both a statistically significant result and spin compared to 4) no spin and no statistically significant result.</p> <p><strong>Participants</strong>: Health students and professionals from universities and health institutions in France and the UK.</p> <p><strong>Interventions</strong>: Participants completed an online questionnaire using Likert scales and free text, after reading one of the four versions of an abstract about a hypothetical randomized trial evaluating "Naranex" and "Bulofil" (two hypothetical drugs) for chronic low back pain. The abstracts differed in a) reported result of "mean difference of 1.31 points (95%CI 0.08 to 2.54; p= 0.04)" or "mean difference of 1.31 points (95%CI -0.08 to 2.70; p= 0.06)" and b) presence or absence of spin. The effect size for the trial's primary outcome (pain disability score) was the same in each abstract; slightly in favour of Naranex.</p> <p><strong>Primary outcome</strong>: The reader's interpretation of the trial's results, based on their answer (1: disagree, 4: neutral, 7: agree) to the following statement: "About the main findings of the study, what is your opinion about the following statement: 'Naranex is better than Bulofil'?"</p> <p><strong>Results</strong>: 297 of the 404 people randomized to receive one of the four abstracts completed the study. Respondents were more likely to favour Narenex when the abstract reported a statistically significant result without spin; a statistically significant result with spin, a non-statistically significant result with spin, compared to when it reported a non-statistically significant result without spin.</p> <p><strong>Conclusions</strong>: Statistical significance appears to have influenced readers' perception whatever the level of spin, while spin influenced readers' perception when the results were not statistically significant but did not appear to have an impact when results were statistically significant</p>
Randomized Cooperative Overtake Maneuvers for Use in Machine Learning Algorithms
<p>Randomized cooperative overtake maneuvers involving one host vehicle and up to three remote vehicles. Maneuver containers are defined as specified in Häfner et al., (2020) "CVIP: A Protocol for Complex Interactions Among Connected Vehicles."</p> <p>If for a maneuver container "rel-target-lane" is given, then the maneuver type is a lane change left/right.</p> <p>If, instead, "rel-target-speed" is given, then the maneuver type is "change speed".</p> <p>Within the raw data, the "validate_stats" files contain validation data as specified in the accompanying conference paper.</p>
Houska_et_al_Dataset_Identifying the drivers of discharge and instream nitrate concentrations using Random Forest
<p>Dataset and Python code to perform a Random Forest regression analysis on mesured discharge and nitrate concentration data at sixteen points within the Sschwingbach Earth Observatory (SEO) located in Hüttenberg, Hesse, Germany.</p>
Cross-cultural music corpus: The Natural History of Song Discography (randomized 14s excerpts)
<p>This repository contains 14-second excerpts of the <em>Natural History of Song</em> Discography. The audio corpus was originally published in Mehr et al. (2019, Science) and the full audio files are available via DUA on the Harvard Dataverse (<a href="https://doi.org/10.7910/DVN/SESAO1">https://doi.org/10.7910/DVN/SESAO1</a>). This repository makes available the excerpts of each track, under Fair Use, given their brief length (14 seconds each). These were also used in other papers (e.g., Mehr & Singh et al., 2018, Current Biology; Bainbridge & Bertolo et al., 2021, Nature Human Behaviour; Hilton & Crowley-de Thierry et al., 2022, JEP:General; Yurdum et al., 2023, PNAS) and are concurrently posted on the Open Science Framework (<a href="https://osf.io/vcybz/">https://osf.io/vcybz/</a>). They are permanently archived here for easier accessibility.</p> <p>Other Natural History of Song data, including staff-notation transcriptions of all the songs, are available at <a href="https://osf.io/jmv3q/">https://osf.io/jmv3q/</a>. There is also an expanded version of the corpus, with 1007 songs (including all 118 of the original NHS songs, available on Zenodo at <a href="https://doi.org/10.5281/zenodo.8237500">https://doi.org/10.5281/zenodo.8237500</a>.</p> <p>The audio excerpts are provided in MP3 format for use in perception experiments. There are 118 excerpts. Each row of <strong>NHSDiscography-metadata.csv </strong>corresponds to one song, and provides general information about each song, including original sources. <strong>NHSDiscography-codebook.pdf</strong> summarizes the types of metadata available. Both these documents were originally published in Mehr et al. (2019, Science), along with the original corpus, and quite a bit of other information concerning how the corpus was built (<a href="https://www.science.org/doi/10.1126/science.aax0868">https://www.science.org/doi/10.1126/science.aax0868</a>). </p> <p>Please contact Samuel Mehr (<a href="mailto:sam@yale.edu">sam@yale.edu</a>) if you have questions concerning the use of these audio files.</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.