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Fig. 4 in Effect of harmonic radar tagging on Lycorma delicatula (Hemiptera: Fulgoridae) nymphal mobility and survivorship
Fig. 4. (A) Jumping distance and (B) time duration from release to jumping of radar-tagged and untagged Lycorma delicatula.
Fig. 1 in Effect of harmonic radar tagging on Lycorma delicatula (Hemiptera: Fulgoridae) nymphal mobility and survivorship
Fig. 1. (A) A 9 mm dipole harmonic radar tag. (B) An example of a 4th instar Lycorma delicatula nymph with a 9 mm dipole harmonic radar tag attached to the pronotum.
Fig. 3 in Effect of harmonic radar tagging on Lycorma delicatula (Hemiptera: Fulgoridae) nymphal mobility and survivorship
Fig. 3. (A) Horizontal distance moved by radar-tagged and untagged Lycorma delicatula in 15 min. (B) Vertical distance climbed by radar-tagged and untagged individuals in 5 min.
Fig. 2 in First Satellite Tagging of the Northern Fur Seals () on the Tyuleniy Island, the Sea of Okhotsk.
Fig. 2. Autumn-winter transitions of NFS females #55015 (straight underlined font) and #55019 (Italic font). Pivot dates are the working datum closest to the beginning of each month (provided for clarity). The land contour for this map was obtained from Open Street (OpenStreet 2019) and the bathymetry was obtained from GEBCO Maps (GEBCO 2020).
Fig. 3 in First Satellite Tagging of the Northern Fur Seals () on the Tyuleniy Island, the Sea of Okhotsk.
Fig. 3. Autumn-spring transitions of the male NFS #55024. Notations as in figure 2. The land contour for this map was obtained from Open Street (OpenStreet 2019) and the bathymetry was obtained from GEBCO Maps (GEBCO 2020).
Fig. 1 in First Satellite Tagging of the Northern Fur Seals () on the Tyuleniy Island, the Sea of Okhotsk.
Fig. 1. Tagging of NFSs at Tyuleniy Island with SPOT-293A satellite tags. A, Capturing of NFS male into a hoop net (photoed by Sergeev AF). B, Satellite tag 55024 / 17U1712 fixed to the fur in the crown area of NFS male. C, NFS male with satellite tag attached to his head. D, Releasing of a tagged NFS female from hoop net (photoed B–D by Ryazanov SD).
Myers Briggs Personality Tags on Reddit Data
<p>This data was pulled on 11/10/2018 from google big query using the following query:</p> <pre><code class="language-sql">SELECT flair_text.author_flair_text as flair_text, comments.body as body, comments.subreddit as subreddit, comments.author as author FROM ( SELECT author,author_flair_text FROM [fh-bigquery:reddit_comments.all] WHERE author_flair_text != 'null' AND REGEXP_MATCH(author_flair_text,r'([IEie][SNsn][TFtf][JPjp]\W)') GROUP BY author,author_flair_text ) AS flair_text INNER JOIN ( SELECT author_flair_text, body, subreddit, author FROM [fh-bigquery:reddit_comments.all] ) AS comments ON comments.author = flair_text.author </code></pre> <p> </p>
How Confidence in Prior Attitudes, Social Tag Popularity, and Source Credibility Shape Confirmation Bias Toward Antidepressants and Psychotherapy in a Representative German Sample: Randomized Controlled Web-Based Study
<p>ABSTRACT</p> <p>Background: In health-related, Web-based information search, people should select information in line with expert (vs nonexpert) information, independent of their prior attitudes and consequent confirmation bias.</p> <p>Objective: This study aimed to investigate confirmation bias in mental health–related information search, particularly (1) if high confidence worsens confirmation bias, (2) if social tags eliminate the influence of prior attitudes, and (3) if people successfully distinguish high and low source credibility.</p> <p>Methods: In total, 520 participants of a representative sample of the German Web-based population were recruited via a panel company. Among them, 48.1% (250/520) participants completed the fully automated study. Participants provided <em>prior attitudes</em> about antidepressants and psychotherapy. We manipulated (1) <em>confidence</em> in prior attitudes when participants searched for blog posts about the treatment of depression, (2) <em>tag popularity</em> —either psychotherapy or antidepressant tags were more popular, and (3) <em>source credibility</em> with banners indicating high or low expertise of the tagging community. We measured <em>tag</em> and <em>blog post</em> selection, and <em>treatment</em><em>efficacy ratings</em> after navigation.</p> <p>Results: Tag popularity predicted the proportion of selected antidepressant tags (beta=.44, SE 0.11; <em>P</em><.001) and blog posts (beta=.46, SE 0.11; <em>P</em><.001). When confidence was low (−1 SD), participants selected more blog posts consistent with prior attitudes (beta=−.26, SE 0.05; <em>P</em><.001). Moreover, when confidence was low (−1 SD) and source credibility was high (+1 SD), the efficacy ratings of attitude-consistent treatments increased (beta=.34, SE 0.13; <em>P</em>=.01).</p> <p>Conclusions: We found correlational support for defense motivation account underlying confirmation bias in the mental health–related search context. That is, participants tended to select information that supported their prior attitudes, which is not in line with the current scientific evidence. Implications for presenting persuasive Web-based information are also discussed.</p> <p>Trial Registration: ClinicalTrials.gov NCT03899168; https://clinicaltrials.gov/ct2/show/NCT03899168 (Archived by WebCite at http://www.webcitation.org/77Nyot3Do)</p> <p>J Med Internet Res 2019;21(4):e11081</p> <p>doi:10.2196/11081</p>
Confirmation Bias in Web-Based Search: A Randomized Online Study on the Effects of Expert Information and Social Tags on Information Search and Evaluation
<p>ABSTRACT</p> <p>Background: The public typically believes psychotherapy to be more effective than pharmacotherapy for depression treatments. This is not consistent with current scientific evidence, which shows that both types of treatment are about equally effective.</p> <p>Objective: The study investigates whether this bias towards psychotherapy guides online information search and whether the bias can be reduced by explicitly providing expert information (in a blog entry) and by providing tag clouds that implicitly reveal experts’ evaluations.</p> <p>Methods: A total of 174 participants completed a fully automated Web-based study after we invited them via mailing lists. First, participants read two blog posts by experts that either challenged or supported the bias towards psychotherapy. Subsequently, participants searched for information about depression treatment in an online environment that provided more experts’ blog posts about the effectiveness of treatments based on alleged research findings. These blogs were organized in a tag cloud; both psychotherapy tags and pharmacotherapy tags were popular. We measured tag and blog post selection, efficacy ratings of the presented treatments, and participants’ treatment recommendation after information search.</p> <p>Results: Participants demonstrated a clear bias towards psychotherapy (mean 4.53, SD 1.99) compared to pharmacotherapy (mean 2.73, SD 2.41; <em>t</em><sub>173</sub>=7.67, <em>P</em><.001, <em>d</em>=0.81) when rating treatment efficacy prior to the experiment. Accordingly, participants exhibited biased information search and evaluation. This bias was significantly reduced, however, when participants were exposed to tag clouds with challenging popular tags. Participants facing popular tags challenging their bias (n=61) showed significantly less biased tag selection (<em>F</em><sub>2,168</sub>=10.61, <em>P</em><.001, partial eta squared=0.112), blog post selection (<em>F</em><sub>2,168</sub>=6.55, <em>P</em>=.002, partial eta squared=0.072), and treatment efficacy ratings (<em>F</em><sub>2,168</sub>=8.48, <em>P</em><.001, partial eta squared=0.092), compared to bias-supporting tag clouds (n=56) and balanced tag clouds (n=57). Challenging (n=93) explicit expert information as presented in blog posts, compared to supporting expert information (n=81), decreased the bias in information search with regard to blog post selection (<em>F</em><sub>1,168</sub>=4.32, <em>P</em>=.04, partial eta squared=0.025). No significant effects were found for treatment recommendation (<em>P</em>s>.33).</p> <p>Conclusions: We conclude that the psychotherapy bias is most effectively attenuated—and even eliminated—when popular tags implicitly point to blog posts that challenge the widespread view. Explicit expert information (in a blog entry) was less successful in reducing biased information search and evaluation. Since tag clouds have the potential to counter biased information processing, we recommend their insertion.</p>
Figure 3A-E in Variability in Reception Duration of Dual Satellite Tags on Sea Turtles Tracked in the Pacific Ocean
Figure 3A-E. Number of transmissions by month for five turtles that have over 30 days difference in tag duration between the two tags on each turtle. Turtle number on each graph is connected to the numbers assigned to the turtle in Table 1. Legends indicate which tag ID goes with each color on the graphic.
Figure 1 in Variability in Reception Duration of Dual Satellite Tags on Sea Turtles Tracked in the Pacific Ocean
Figure 1. Distribution of dual tagged turtles in the North Pacific Ocean. Turtle numbers are connected to those in Table 1. Ovals show basic area covered by each turtle's track.
FIGURE 2 in Radiotagging a long-distance migratory characid fish: reproduction after surgery, tag losses, and effects in weight
FIGURE 2 | Percentage weight variation of fish that remained alive in the pond until the end of the experiment. Tagging occurred in 16–18/11/2016, survey 1 in 24/08/2016, survey 2 in 28/09/2016, survey 3 in 21/10/2016, survey 4 in 09/11/2016, and survey 5 in 03/05/2017. Reproduction occurred between survey 4 and survey 5.
FIGURE 1 in Radiotagging a long-distance migratory characid fish: reproduction after surgery, tag losses, and effects in weight
FIGURE 1 | Mortality by event, treatment, and sex. Tagging occurred in 16–18/11/2016, survey 1 in 24/08/2016, survey 2 in 28/09/2016, survey 3 in 21/10/2016, survey 4 in 09/11/2016, and survey 5 in 03/05/2017. Reproduction occurred between survey 4 and survey 5. We excluded fishes with unidentified sex from the figure.
Fig. 4 in Effect of anesthetic, tag size, and surgeon experience on postsurgical recovering after implantation of electronic tags in a neotropical fish: Prochilodus lineatus (Valenciennes, 1837) (Characiformes: Prochilodontidae)
Fig. 4. Effect of incision size (cm) and duration of surgery (s) on wound area (cm2) one week after surgical implantation of telemetry transmitters in Prochilodus lineatus.
Fig. 5 in Effect of anesthetic, tag size, and surgeon experience on postsurgical recovering after implantation of electronic tags in a neotropical fish: Prochilodus lineatus (Valenciennes, 1837) (Characiformes: Prochilodontidae)
Fig. 5. Surgical/postsurgical ranking of Prochilodus lineatus over four weeks. Black: poor; gray: average; and light gray: good.
Linked collectors and determiners for: 6 - Inventaire général de la flore vasculaire et de la fonge sur le TAG du CBNMed - Diverses données floristiques issues de structures publiques dans les départements du 06, 11, 13, 30, 34, 48, 66, 83, 84.
Natural history specimen data linked to collectors and determiners held within, "6 - Inventaire général de la flore vasculaire et de la fonge sur le TAG du CBNMed - Diverses données floristiques issues de structures publiques dans les départements du 06, 11, 13, 30, 34, 48, 66, 83, 84". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4fe0d27f-9a9a-43bc-8beb-ba81d2b47ef8">https://bionomia.net/dataset/4fe0d27f-9a9a-43bc-8beb-ba81d2b47ef8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4fe0d27f-9a9a-43bc-8beb-ba81d2b47ef8">https://gbif.org/dataset/4fe0d27f-9a9a-43bc-8beb-ba81d2b47ef8</a>. Formatted as a Frictionless Data package.
Tagging and tracking information for radiotagged Chinook Salmon in the Copper River, Alaska, 2019 and 2020.
<p>This is a 2 year data set that summarizes the information collected for a study funded by the Alaska Sustainable Salmon Fund (AKSSF), project number 52004. Data was collected on Chinook Salmon in the Copper River by the Alaska Department of Fish and Game, Sport Fish Division and the Native Village of Eyak. The data set includes the following information on Chinook Salmon: tagging date, radio tag frequency and code, length of fish, age of fish and then the date each fish passed a series of fixed tracking stations along the Copper River, expressed as Julian dates. Below is the citation for the study plan which details the methodology including tagging location and placement of the fixed-tracking stations.</p> <p>Schwanke, C. J. 2019. Run timing and spawning distribution of Copper River Chinook salmon. Alaska Department<br> of Fish and Game, Regional Operational Plan ROP.SF.3F.2019.04, Fairbanks.</p> <p>http://www.adfg.alaska.gov/FedAidPDFs/ROP.SF.3F.2019.04.pdf</p>
Double-tagging scores of seabirds reveals that light-level geolocator accuracy is limited by species idiosyncrasies and equatorial solar profiles
<p>Light-level geolocators are popular bio-logging tools, with advantageous sizes, longevity, and affordability. Biologists tracking seabirds often presume geolocator spatial accuracies between 186-202 km from previously-innovative, yet taxonomically, spatially, and computationally limited, studies. Using recently developed methods, we investigated whether assumed uncertainty norms held across a larger-scale, multispecies study.</p> <p>We field-tested geolocator spatial accuracy by synchronously deploying these with GPS loggers on scores of seabirds across five species and 11 Mediterranean Sea, East Atlantic and South Pacific breeding colonies. We first interpolated geolocations using the geolocation package FLightR without prior knowledge of GPS tracked routes. We likewise applied another package, probGLS, additionally testing whether sea-surface temperatures could improve route accuracy.</p> <p>Geolocator spatial accuracy was lower than the ~200km often assumed. probGLS produced the best accuracy (mean ± SD = 304 ± 413 km, <i>n</i> = 185 deployments) with 84.5% of GPS-derived latitudes and 88.8% of longitudes falling within resulting uncertainty estimates. FLightR produced lower spatial accuracy (408 ± 473 km, <i>n</i> = 171 deployments) with 38.6% of GPS-derived latitudes and 27% of longitudes within package-specific uncertainty estimates. Expected inter-twilight period (from GPS position and date) was the strongest predictor of accuracy, with increasingly equatorial solar profiles (i.e., closer temporally to equinoxes and/or spatially to the Equator) inducing more error. Individuals, species and geolocator model also significantly affected accuracy, while the impact of distance travelled between successive twilights depended on the geolocation package.</p> <p>Geolocation accuracy is not uniform among seabird species and can be considerably lower than assumed. Individual idiosyncrasies and spatiotemporal dynamics (i.e., shallower inter-twilight shifts by date and latitude) mean that practitioners should exercise greater caution in interpreting geolocator data and avoid universal uncertainty estimates. We provide a function capable of estimating relative accuracy of positions based on geolocator-observed inter-twilight period.</p>
Cross-Register Projection for Headline Part of Speech Tagging
<p>POSH: The POS-tagged HeadlIne corpus was created for the paper “Cross-Register Projection for Headline Part of Speech Tagging” published in EMNLP 2021. This dataset contains headlines with gold annotated POS tags.</p> <p>The <em>GSCh</em> evaluation set is here: GSCh/gsc-headline-gold.test.conllu</p> <p>The smaller evaluation set of GSC headlines sampled uniformly at random (described in section 2.3) is here: gold_unconstrained_headlines/unifrand_gsc.test.conllu</p> <p>The POS-tagged NYT headlines described in section 2.3 are not shared directly as this text was drawn from the New York Times Annotated Corpus (LDC2008T19), and subject to license constraints. However, if you have access to and have untarred LDC2008T19, you can recover this evaluation set with:</p> <p> TAG_PATH="./unifrand_onlynyt.tags.json" # mapping from NYT headline span to gold POS tag</p> <p> python build_gold_nyt_headlines.py --nyt_dir /PATH/TO/ANNOTATED/NYT/CORPUS/ --tag_path ${TAG_PATH} --num_proc 4</p> <p>Increase the argument to --num_procs to process more shards from the NYT corpus in parallel and reduce build time.</p> <p>Under GSCproj we also share the <em>GSCproj</em> folds which we used to train and validate our models. These are not gold POS tags, and are shared purely for reproducibility sake.</p>
Suppl. files to: Cellular and molecular targets of nucleotide-tagged trithiola-to-bridged arene ruthenium complexes in the protozoan para-sites Toxoplasma gondii and Trypanosoma brucei
<p>These are supplementary files for the manuscript entitled:</p> <p>Cellular and molecular targets of nucleotide-tagged trithiolato-bridged arene ruthenium complexes in the protozoan parasites <em>Toxoplasma gondii</em>and <em>Trypanosoma brucei</em></p> <p>submitted to International Journal of Molecular Sciences</p> <p>by: <strong>Nicoleta Anghel<sup>1¥</sup>, Joachim Müller<sup>1¥*</sup>, Mauro Serricchio<sup> 2</sup>, Jennifer Jelk <sup>2</sup>, Peter Bütikofer<sup>2</sup>, Ghalia Boubaker<sup>1</sup>, Dennis Imhof<sup>1</sup>, Jessica Ramseier<sup>1</sup>, Oksana Desiatkina<sup>3</sup>, Emilia Păunescu<sup>3</sup>, Sophie Braga-Lagache<sup>4</sup>, Manfred Heller<sup>4</sup>, Julien Furrer<sup>3</sup>, Andrew Hemphill<sup>1*</sup></strong></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.