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ShareScore release 0.9.0
Dataset results
35 results for “research bias”
MiRoR7-P1- Disagreements in risk of bias assessment for randomised controlled trials included in more than one Cochrane systematic reviews: a research on research study using cross-sectional design
<p>dataset referring to </p> <p><strong>Disagreements in risk of bias assessment for randomised controlled trials included in more than one Cochrane systematic reviews: a research on research study using cross-sectional design</strong></p> <p> </p> <p> </p> <p>Lorenzo Bertizzolo<sup>1</sup>, Patrick M Bossuyt<sup>2</sup>, Ignacio Atal<sup>1, 5</sup>, Philippe Ravaud<sup>1, 3-6</sup>, Agnès Dechartres<sup>7</sup></p> <p> </p> <p><sup>1</sup> INSERM, U1153 Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (CRESS), Methods of therapeutic evaluation of chronic diseases Team (METHODS), Paris, F-75004 France; Paris Descartes University, Sorbonne Paris Cité, France.</p> <p><sup>2</sup> Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Netherlands.</p> <p><sup>3</sup> Centre d’Épidémiologie Clinique, Hôpital Hôtel Dieu, AP-HP (Assistance Publique des Hôpitaux de Paris), Paris, France.</p> <p><sup>4</sup> Faculté de Médecine, Université Paris Descartes, Sorbonne Paris Cité, Paris, France.</p> <p><sup>5</sup> Cochrane France, Paris, France</p> <p><sup>6</sup> Columbia University, Mailman School of Public Health, Department of Epidemiology, New York, USA</p> <p><sup>7</sup> Sorbonne Université, INSERM, Institut Pierre Louis de Santé Publique, Département Biostatistique, Santé Publique et Information Médicale, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière – Charles Foix, Paris, France</p>
Dataset supplementing the article Einhäuser, W., Methfessel, P., & Bendixen, A. (2017). Newly acquired audio-visual associations bias perception in binocular rivalry. Vision Research, 133, 121-129.
<p>This dataset supplements the publication<br> Einhäuser, W., Methfessel, P., & Bendixen, A. (2017). Newly acquired audio-visual associations bias perception in binocular rivalry. Vision Research, 133, 121-129. doi: 10.1016/j.visres.2017.02.001</p> <p>Use is free for scientific purposes, provided the aforementioned reference is appropriately cited.<br> Description of files<br> - conditionsByObserver.csv<br> contains for each of the 16 observers the color and grating direction that had been coupled to either the low-pitch or the high-pitch tone<br> column 1: observer number<br> column 2: color associated with low-pitch tone<br> column 3: color associated with high-pitch tone<br> column 4: drift direction associated with low-pitch tone<br> column 5: drift direction associated with high-pitch tone</p> <p>- conditionsByObserver.mat contains the same information as matlab variables (as four vectors/cell arrays with one entry per observer)</p> <p>- toneByBlockAndTrial.csv<br> contains the conditions for all 18 rivalry trials (6 rivalry blocks with 3 trials each) for each observer<br> column 1: observer number<br> column 2: block number<br> column 3: trial number<br> column 4: tone (low [pitch], high [pitch], none) played in this trial<br> Note that due to a technical error for observer #16, block 6 was presented first, followed by 1,2,3,4,5; for all other observers blocks were used in the order given (1,2,3,4,5,6).</p> <p>- toneByBlockAndTrial.mat contains the same information as a 16x6x3 matrix named toneByBlockAndTrial ; tones are coded numerically (1-low pitch,2-high pitch,3-none)</p> <p>- eyeTraces.mat contains three cell arrays of dimensions 16x6x3 (observer x rivalry block x rivalry trial) called xEye, oknGain, and timeSinceTrialStart;</p> <p>o each entry of xEye contains the horizontal eye position for<br> the respective trial in eye-tracker coordinates (which correspond to screen pixels, except that (1/1) is the upper right rather than the upper left and values increase from right to left due to the setup configuration)</p> <p>o oknGain contains the gain computed from these eye positions.</p> <p>o timeSinceTrialStart contains the time in seconds since onset of the trial</p> <p><br> For all variables, the sampling rate is 500 Hz, in eye-tracker coordinates the speed of the grating is 240 units/ms. Blinks were removed from both eye-data variables, fast-phases were removed from the gain data. Removed data were set to NaN in eye-data variables.</p> <p>- Matlab functions figure1d.m, figure 2.m, figure3.m and figure4.m compute raw versions of the aforementioned paper's figures from the datafiles to exemplify their usage.</p> <p>[Note: In the originally published version of the article, the first two means and their standard errors of section 3.3 were stated incorrectly. All figures and statistical analyses are based on the correct data].</p>
Fig. 2 in Bats of Sicily: historical evidence, current knowledge, research biases and trends
Fig. 2 - Documents in the primary and secondary datasets and the cumulative number of documents issued between 1810 and 2022. / Documenti nei dataset primario e secondario e numero cumulativo di documenti prodotti tra il 1810 e il 2022.
Fig. 5 in Bats of Sicily: historical evidence, current knowledge, research biases and trends
Fig. 5 - Distribution of the primary dataset, secondary dataset, and total documents according to research areas and used methods. / Distribuzione del dataset primario, del dataset secondario e del totale dei documenti in base alle aree di ricerca e ai metodi utilizzati.
Fig. 1 in Bats of Sicily: historical evidence, current knowledge, research biases and trends
Fig. 1 - Flow diagram showing the selection steps of eligible documents obtained from primary and secondary datasets. / Diagramma di flusso che mostra le fasi di selezione dei documenti eligibili ottenuti dai dataset primario e secondario.
Fig. 4 in Bats of Sicily: historical evidence, current knowledge, research biases and trends
Fig. 4 - (A) Bar plot showing the distribution of studies across different habitats (caves, forest, urban area, riparian areas). (B) Species conservation status across Sicilian bat families classified according to the IUCN categories: Least Concern (LC), Vulnerable (VU), Near Threatened (NT), and Data Deficient (DD). / (A) Grafico a barre che mostra la distribuzione degli studi nei diversi habitat (grotte, foreste, aree urbane, aree ripariali). (B) Stato di conservazione delle specie delle famiglie di pipistrelli siciliani classificate secondo le categorie IUCN: Minima preoccupazione (LC), Vulnerabile (VU), Quasi minacciata (NT) e Carenza di dati (DD).
Fig. 3 in Bats of Sicily: historical evidence, current knowledge, research biases and trends
Fig. 3 - Variation of Bat Research Efficiency scores (BRE) in the nine Sicilian provinces. The colour gradient (darker to lighter) indicates a higher to lower BRE. / Variazione dei punteggi di efficienza della ricerca sui pipistrelli (BRE) nelle nove province siciliane. Il gradiente di colore (da più scuro a più chiaro) indica un BRE da più alto a più basso.
Fig. 4 in Biases in parasite biodiversity research: why some helminth species attract more research than others
Fig. 4. Box plots (median and interquartile range) showing (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminth parasites as a function of the number of authors of the original species description. Data from the Zoological Record™ database. Extreme values (25 species descriptions with more than 50 citations; 3 species with more than 30 mentions) are excluded to avoid distorting the figures.
Fig. 3 in Biases in parasite biodiversity research: why some helminth species attract more research than others
Fig. 3. Box plots (median and interquartile range) showing (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminths parasitising six host groups. Data from the Zoological Record™ database. Values greater than 50 citations (comprising 14 fish, 1 amphibian, 5 reptiles, 1 bird and 4 mammals) and greater than 30 mentions (comprising 1 amphibian, 1 bird and 1 mammal) are excluded to avoid distorting the figures.
Fig. 2 in Biases in parasite biodiversity research: why some helminth species attract more research than others
Fig. 2. Box plots (median and interquartile range) showing (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminth parasites of five higher taxa. Data from the Zoological Record™ database. Values greater than 50 citations (comprising 1 cestode, 10 monogeneans, 3 trematodes, and 11 nematodes) and greater than 30 mentions (comprising 1 trematode and 2 nematodes) are excluded to avoid distorting the figures.
Fig. 1 in Biases in parasite biodiversity research: why some helminth species attract more research than others
Fig. 1. Frequency distribution of (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminth parasites described between the years 2000 and 2018. Data from the Zoological Record™ database. Extreme values (25 species descriptions with more than 50 citations; 3 species with more than 30 mentions) are excluded to avoid distorting the figures.
Six-decade research bias toward fancy and familiar bird species
Open the record for dataset details and reuse information.
A paradoxical bias in knowledge about Norwegian freshwater fishes: Research efforts during 1980–2020
<p><span>Norwegian freshwater systems are in general species-poor. That is particularly the case for freshwater fishes. Only 32 species are considered native, whereas an additional 12 species are non-native. Some of the non-native species are also considered to be invasive and have negative ecosystem effects. Freshwater fishes are exposed to numerous stressors throughout their life cycle, many of which are of anthropogenic origin. In order to manage and conserve the diversity of fish there is a need for basic knowledge and understanding. Here I make an effort to review the published research on all Norwegian freshwater fish species during the 1980–2020 period, based on a standardized search on the Web of Science. Over 2000 relevant articles were retrieved and evaluated following the search. The research activity has been highly biased, with most research activity directed at a few species of high economic and societal value. Most work was directed at Atlantic salmon <em>Salmo</em> <em>salar</em> and brown trout <em>S</em>. <em>trutta</em>, and in general towards species within the salmonid family. Extremely little attention was directed at species such as the lampreys (four species) and sculpins (three species). Also, many species that have been listed on the Norwegian Red List during various time periods have not been given any particular attention. This lack of attention was also evident for most of the non-native species. The strong bias in research activity and lack of attention given to many species will clearly lead to difficulties in making appropriate management decisions. This is unfortunate, in particular at a time when climate change may lead to numerous ecosystem-level changes.</span></p>
Supplementary data and code "Wealth over Woe: global biases in hydro-hazard research"
<p>Supplementary data and code "Wealth over Woe: global biases in hydro-hazard research". V0.2</p>
Open dataset for the research of "Assessing accuracy improvement of integrating digital footprints into gridded population mapping: spatiotemporal variations and data bias"
<p>Result datasets for "Assessing accuracy improvement of integrating digital footprints into gridded populationmapping:spatiotemporal variations and data bias":</p> <ol> <li> S1 is the results for gridded population mapping using different methods.</li> <li> S2 is the aggregate results of population mapping at county level.</li> <li> S3 is the results for intraday variation of population disaggregation accuracy,</li> <li> S4 is the data bias of different digital footprints.</li> </ol>
Risk of bias in observational studies using routinely collected data of comparative effectiveness research: a meta-research study
<p>We performed a meta-research study by searching PubMed for comparative effectiveness observational studies evaluating therapeutic interventions using routinely collected data published in high impact factor journals from 01/06/2018 to 30/06/2020. We assessed the reporting of study design (i.e., eligibility, treatment assignment, and the start of follow-up). Risk of selection bias and immortal time bias was determined by assessing if the time of eligibility, treatment assignment and the start of follow-up were synchronised to mimic the randomisation following the target trial emulation framework.</p>
Dataset for "Research Trend of Behavioral Bias in Financial Market: A Bibliometric Analysis "
<p>Dataset for Bibliometric research</p>
A paradoxical bias in knowledge about Norwegian freshwater fishes: Research efforts during 1980–2020
Open the record for dataset details and reuse information.
Data from: Patterns and biases in climate change research on amphibians and reptiles: a systematic review
Climate change probably has severe impacts on animal populations, but demonstrating a causal link can be difficult because of potential influences by additional factors. Assessing global impacts of climate change effects may also be hampered by narrow taxonomic and geographical research foci. We review studies on the effects of climate change on populations of amphibians and reptiles to assess climate change effects and potential biases associated with the body of work that has been conducted within the last decade. We use data from 104 studies regarding the effect of climate on 313 species, from 464 species–study combinations. Climate change effects were reported in 65% of studies. Climate change was identified as causing population declines or range restrictions in half of the cases. The probability of identifying an effect of climate change varied among regions, taxa and research methods. Climatic effects were equally prevalent in studies exclusively investigating climate factors (more than 50% of studies) and in studies including additional factors, thus bolstering confidence in the results of studies exclusively examining effects of climate change. Our analyses reveal biases with respect to geography, taxonomy and research question, making global conclusions impossible. Additional research should focus on under-represented regions, taxa and questions. Conservation and climate policy should consider the documented harm climate change causes reptiles and amphibians.
Data from: Using risk of bias domains to identify opportunities for improvement in food- and nutrition-related research: an evaluation of research type and design, year of publication, and source of funding
Purpose: This retrospective cross-sectional study aimed to identify opportunities for improvement in food and nutrition research by examining risk of bias (ROB) domains. Methods: Rating were extracted from critical appraisal records for 5675 studies used in systematic reviews conducted by three organizations. Variables were as follows: ROB domains defined by the Cochrane Collaboration (Selection, Performance, Detection, Attrition, and Reporting), publication year, research type (intervention or observation) and specific design, funder, and overall quality rating (positive, neutral, or negative). Appraisal instrument questions were mapped to ROB domains. The kappa statistic was used to determine consistency when multiple ROB ratings were available. Binary logistic regression and multinomial logistic regression were used to predict overall quality and ROB domains. Findings: Studies represented a wide variety of research topics (clinical nutrition, food safety, dietary patterns, and dietary supplements) among 15 different research designs with a balance of intervention (49%) and observation (51%) types, published between 1930 and 2015 (64% between 2000-2009). Duplicate ratings (10%) were consistent (k=0.86-0.94). Selection and Performance domain criteria were least likely to be met (57.9% to 60.1%). Selection, Detection, and Performance ROB ratings predicted neutral or negative quality compared to positive quality (p<0.001). Funder, year, and research design were significant predictors of ROB. Some sources of funding predicted increased ROB (p<0.001) for Selection (Interventional: industry only and none/not reported; Observational: other only and none/not reported) and Reporting (Observational: university only and other only). Reduced ROB was predicted by combined and other-only funding for intervention research (p<0.005). Performance ROB domain ratings started significantly improving in 2000; others improved after 1990 (p<0.001). Research designs with higher ROB were nonrandomized intervention and time series designs compared to RCT and prospective cohort designs respectively (p<0.001). Conclusions: Opportunities for improvement in food and nutrition research are in the Selection, Performance, and Detection ROB domains.
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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)
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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.