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Supplementary material 4 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Extrapolated annual average costs for those invasive species known to be in Singapore with recorded costs in InvaCost
Supplementary material 1 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Description of the procedure used for collecting and describing cost data in the InvaCost database (adapted from Diagne et al. 2020)
Supplementary material 5 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Relationships between trade value and recorded cost entries per country in InvaCost, as well as land area and human population with total cost
IQRM: real-time adaptive RFI masking for radio transient and pulsar searches
<p>This is repository of the data that were used for the analysis and results presented in "IQRM: real-time adaptive RFI masking for radio transient and pulsar searches" submitted to the Monthly Notices for the Royal Astronomical Society for publication. The readme file along with the data contains all the necessary information one would need to process the data. The data will be made available to everyone once the paper has been accepted for publication. If you are using data from this repository, please do not forget to cite the following paper:</p> <p>"IQRM: real-time adaptive RFI masking for radio transient and pulsar searches", V M Morello, K M Rajwade and B W Stappers, 2021, Monthly Notices of the Royal Astronomical Society, in press.</p>
FIGURE 1 in The masked torrent mite, Torrenticola larvata n. sp. (Acari: Hydrachnidiae: Torrenticolidae): a water mite endemic to the Ouachita Mountains of North America
FIGURE 1: Torrenticola larvata n. sp. female: dorsal habitus.
Synthesized Polyp Masks
<p>This data repository includes a dataset of 10,000 polyp masks generated to facilitate the synthetic polyp image generation.</p>
FIGURE 6 in A new species of masked-owl (Aves: Strigiformes: Tytonidae) from Seram, Indonesia
FIGURE 6. Sonograms of A) Tyto almae (Michael Køie Poulsen) from Seram, B) Tyto sororcula cayelii (XC42300, recording by George Wagner) from Buru, C) Tyto sororcula sororcula (http://ibc.lynxeds.com/video/lesser-masked-owl-tyto-sororcula/ bird-tree-looking-around-calling-once, recording by Josep del Hoyo) from Tanimbar, D) Tyto n. novaehollandiae (XC102921, recording by Nigel Jackett) from Australia. Notice how the pitch of Tyto almae (A) is slightly lower than the pitch of Tyto sororcula/novaehollandiae (B-D), although this result should be interpreted with caution because Tyto almae gave incessant alarm calls, which may not be directly comparable to other field recordings.
FIGURE 4 in A new species of masked-owl (Aves: Strigiformes: Tytonidae) from Seram, Indonesia
FIGURE 4. Chronogram based on the BEAST analysis of members of Tyto. Divergence dates were estimated by using a rate of 0.01 substitutions per site per lineage per million years in Cytochrome-b (the 2% rule, Weir & Schluter 2008). Only posterior probabilities ≥ 0.90 are shown on the figure.
FIGURE 3 in A new species of masked-owl (Aves: Strigiformes: Tytonidae) from Seram, Indonesia
FIGURE 3. Close-up photos of tails of: Tyto sororcula cayelii from Buru (AMNH 629476, type specimen), photo by M. Shanley and T. J. Trombone; Tyto almae from Seram (MZB 33.231), photo by K. A. Jønsson; and Tyto sororcula sororcula from Tanimbar (RMNH.AVES.162520), photo by Eelco Kruidenier.
FIGURE 5 in A new species of masked-owl (Aves: Strigiformes: Tytonidae) from Seram, Indonesia
FIGURE 5. Sonograms of A) Tyto almae (recording by Michael Køie Poulsen) from Seram, B) Tyto sororcula cayelii (XC42300, recording by George Wagner) from Buru, C) Tyto sororcula sororcula (http://ibc.lynxeds.com/video/lesser-maskedowl-tyto-sororcula/bird-tree-looking-around-calling-once, recording by Josep del Hoyo) from Tanimbar, D) Tyto n. novaehollandiae (XC102921, recording by Nigel Jackett) from Australia, E & F) Tyto (alba) delicatula (XC41851, recording by Vicki Powys) from Australia, G) Tyto rosenbergii (XC88280, recording by Frank Lampert) from Sulawesi, H) Tyto (alba) deroepstorffi (XC94701, recording by Pankaj Koparde) from the Andaman islands, I) Tyto (alba) stertens (XC92296, recording by Sudipto Roy) from India.
FIGURE 2 in A new species of masked-owl (Aves: Strigiformes: Tytonidae) from Seram, Indonesia
FIGURE 2. Close-up photos of heads of: Tyto sororcula cayelii from Buru (AMNH 629476, type specimen), photo by M. Shanley and T. J. Trombone; Tyto almae from Seram (MZB 33.231), photo by K. A. Jønsson; and Tyto sororcula sororcula from Tanimbar (RMNH.AVES.162520), photo by Eelco Kruidenier.
FIGURE 1 in A new species of masked-owl (Aves: Strigiformes: Tytonidae) from Seram, Indonesia
FIGURE 1. Comparisons of Tyto owl specimens. From left to right: Tyto sororcula cayelii from Buru (AMNH 629476, type specimen), photo by M. Shanley and T. J. Trombone; Tyto almae from Seram (MZB 33.231), photo by K. A. Jønsson; Tyto sororcula sororcula from Tanimbar (RMNH.AVES.162520), photo by Eelco Kruidenier; and Tyto sororcula sororcula from Tanimbar (BMNH 1883.5.30.89, type specimen), photo by Hein van Grouw.
Delivery of a Masked Uranium(II) by an Oxide-Bridged Diuranium(III) Complex
<p>This upload contains raw data (NMR, X-Ray, Elemental Analysis) files for the article.</p>
Oopsacas minuta alternative masked genomes and predicted proteomes
<p>Oopsacas minuta alternative versions.</p> <p>The genome was masked using the Dfam TE tool container (https://github.com/Dfam-consortium/TETools).</p> <p>oopsacas_minuta_hardmasked.fna : genome hardmasked (with N). Low complexity regions are also masked.</p> <p>oopsacas_minuta_hardmasked_nolow.fna: genome hardmasked (with N). Low complexity regions are not masked.</p> <p>oopsacas_minuta_softmasked.fna: genome softmasked (lower-case letters). Low complexity regions are also masked.</p> <p>oopsacas_minuta_softmasked_nolow.fna: genome softmasked (lower-case letters). Low complexity regions are not masked.</p> <p>Proteins were predicted using Braker v1.9.</p> <p>oopsacas_minuta_hardmasked.faa : from oopsacas_minuta_hardmasked.fna</p> <p>oopsacas_minuta_hardmasked_nolow.faa: fromoopsacas_minuta_hardmasked_nolow.fna</p> <p>oopsacas_minuta_softmasked.faa: from oopsacas_minuta_softmasked.fna</p> <p>oopsacas_minuta_softmasked_nolow.faa: from oopsacas_minuta_softmasked_nolow.fna</p> <p> </p> <p> </p>
Hand mask for the RSNA bone age dataset
<p>Masks for semantic segmentation of hands from scanned X-Rays in the RSNA Bone Age dataset (released for the <a href="https://www.rsna.org/education/ai-resources-and-training/ai-image-challenge/rsna-pediatric-bone-age-challenge-2017">RSNA Pediatric Bone Age Challenge</a> in 2017).</p> <p>The masks were obtained manually using thresholding and edge detection and all masks were quality checked and, if needed, corrected.</p> <p>Based on this two models (Tensormask and Efficient-UNet) were trained to obtain the masks on the full RSNA Bone Age dataset.</p> <p> </p> <p>If you use this dataset for your work, please cite the paper this dataset is part of:</p> <p>Rassmann, S., Keller, A., Skaf, K. <em>et al.</em> Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias. <em>Pediatr Radiol</em> <strong>54</strong>, 82–95 (2024). https://doi.org/10.1007/s00247-023-05789-1 </p> <p> </p>
multitask_MHA_esm2_t30_150M_UR50D_neg_ratio_8+8_shift_30_mask_0.2_2023-03-25_90
<p>data need for phos-ST run</p>
Masked speech recognition by 6-13-year-olds with early-childhood otitis media: Effects of acoustic condition and otologic history
<p>Data and code used for the statistical analyses reported in the accompanying manuscript by Koiek S, Brandt C, Möller S, Dillon H & Neher T. For further details, contact tneher(AT)health.sdu.dk</p>
TOOCAN cloud mask
<p>This dataset comprises a high cloud mask derived from the TOOCAN dataset (Fiolleau et al., 2020) within the region spanning from 0N to 9.6N latitude and 140E to 149.6E longitude. The TOOCAN dataset offers calibrated infra-red brightness temperatures across the entire tropical band in the period 2012-2016.<br> The images have 0.04° spatial resolution and 30 minute temporal frequency.</p> <p>Fiolleau, T., R. Roca, S. Cloché, D. Bouniol, P. Raberanto, 2020: Homogenization of geostationary infrared imager channels for cold cloud studies using Megha-Tropiques/ScaRaB. IEEE Trans. Geosci. Remote Sens., vol 58, no. 9, pp. 6609-6622. doi: 10.1109/TGRS.2020.2978171</p>
MDETR full annotations with masks
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Plague mask
Do we really need words? Every doctor needs a mask. ( ͡ʘ ͜ʖ ͡ʘ) Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
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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)
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.