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Extended Storm Track Files for the GridRad-Severe Dataset
<p>Extended versions of the storm track files available from the GridRad-Severe dataset (https://doi.org/10.5065/2B46-1A97). Files are grouped in .tar format for each year. Each storm track file is a copy of that included in the original archive, with select radar variables, storm mode classifications, and auxiliary information extracted along each storm's path and appended to the track file. The resulting data can be used to aid in objective supercell storm identification and other typing efforts. </p>
Maximum Expected Size of Hail (MESH) Retrievals for the GridRad-Severe Dataset (2010-2023)
<p>MESH retrievals using 5-min radar volumes for events in the GridRad-Severe dataset (https://doi.org/10.5065/2B46-1A97) and MERRA-2 reanalysis. Additional detail on the retrievals is provided in Murillo & Homeyer, 2019 (https://doi.org/10.1175/JAMC-D-18-0247.1). </p>
Supplementary Materials article : Risk Estimation of Severe Primary Graft Dysfunction in Heart Transplant Recipients Using a Smartphone
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Linked collectors and determiners for: Revision of Alpheus euphrosyne De Man, 1897 and A. microrhynchus De Man, 1897, with description of three new species and taxonomic remarks on several other morphologically and ecologically similar snapping shrimps (Malacostraca: Decapoda: Alpheidae).
Natural history specimen data linked to collectors and determiners held within, "Revision of Alpheus euphrosyne De Man, 1897 and A. microrhynchus De Man, 1897, with description of three new species and taxonomic remarks on several other morphologically and ecologically similar snapping shrimps (Malacostraca: Decapoda: Alpheidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7912c179-a542-47d7-9b44-6af1c9185a23">https://bionomia.net/dataset/7912c179-a542-47d7-9b44-6af1c9185a23</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7912c179-a542-47d7-9b44-6af1c9185a23">https://gbif.org/dataset/7912c179-a542-47d7-9b44-6af1c9185a23</a>. Formatted as a Frictionless Data package.
Association of endothelial nitric oxide synthase polymorphisms with clinical severity in COVID-19 patients
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Data from: Can recombinant human thrombomodulin increase survival among patients with severe septic-induced disseminated intravascular coagulation: a single-centre, open-label, randomised controlled trial
Objective: To determine whether treatment with recombinant human thrombomodulin (rhTM) increases survival among severe septic patients with sepsis-induced disseminated intravascular coagulation (DIC) Design: Single-center, open-label, randomized controlled trial Setting: Single tertiary hospital Participant: 92 severe septic patients with sepsis-induced DIC Interventions: Patients with DIC scores ≥4, as defined by the Japanese Association of Acute Medicine, were diagnosed with DIC. Randomization was performed by the envelope method. The treatment group (rhTM group, n = 47) was intravenously treated with rhTM within 24 h of admission (day 0), and the control group (n = 45) did not receive any anti-coagulants, except in cases of deep venous thrombosis and pulmonary embolism. Primary and secondary measurements: Data were collected on days 0 (admission), 1, 2, 3, 5, 7, and 10. The primary outcome was survival at 28 and 90 days. The secondary endpoints comprised changes in DIC scores, platelet counts, D-dimer, antithrombin III (ATIII), and C-reactive protein (CRP) levels, and Sequential Organ Failure Assessment (SOFA) scores. All analyses were conducted on an intent-to-treat basis. Main Results: The 28-day survival rates were 84 and 83% in the control and rhTM groups, respectively (p = 0.745, log rank test). The 90-day survival rates were 73% and 72% in the control and rhTM groups, respectively (p = 0.94, log rank test). Meanwhile, the rates of recovery from DIC (<4) were significantly higher in the rhTM group than in the control group (p = 0.001, log rank test). Relative change from baseline of D-dimer levels were significantly lower in the rhTM group than in the control group, on day 3 and 5. Conclusion: rhTM treatment decreased D-dimer levels and facilitated DIC recovery in severe septic patients with sepsis-induced DIC. However, the treatment did not improve survival in this cohort.
Figure 8 from: Jirapatrasilp P, Ablett JD, Panha S, Sutcharit C (2021) Clarification on the name-bearing type designation of several cyclophorid species (Mollusca, Gastropoda) by H. H. Godwin-Austen (1915). ZooKeys 1049: 43-66. https://doi.org/10.3897/zookeys.1049.66842
Figure 8 A lectotype of Pterocyclos miriensis, NHMUK 1903.7.1.3580/1 B, CTheobaldius oakesi: B lectotype NHMUK 1903.7.1.3083/1 and C paralectotype NHMUK 1903.7.1.3083/2.
Figure 6 from: Jirapatrasilp P, Ablett JD, Panha S, Sutcharit C (2021) Clarification on the name-bearing type designation of several cyclophorid species (Mollusca, Gastropoda) by H. H. Godwin-Austen (1915). ZooKeys 1049: 43-66. https://doi.org/10.3897/zookeys.1049.66842
Figure 6 Original labels bearing Godwin-Austen's handwriting of ACyclophorus aborensis NHMUK 1903.7.1.3051 with the word "Co-Type" BCyclophorus (Glossostylus) koboensis NHMUK 1903.7.1.3579 with the word "Co-Type", and CSpiraculum minimum NHMUK 1903.7.1.3145 with the word "Typical" in different handwriting.
Figure 5 from: Jirapatrasilp P, Ablett JD, Panha S, Sutcharit C (2021) Clarification on the name-bearing type designation of several cyclophorid species (Mollusca, Gastropoda) by H. H. Godwin-Austen (1915). ZooKeys 1049: 43-66. https://doi.org/10.3897/zookeys.1049.66842
Figure 5 Original labels bearing Godwin-Austen's handwriting of Pterocyclos aborensisA NHMUK 1903.7.1.3104 with the word "Type" B NHMUK 1903.7.1.3046, and C NHMUK 1903.7.1.3050.
Figure 4 from: Jirapatrasilp P, Ablett JD, Panha S, Sutcharit C (2021) Clarification on the name-bearing type designation of several cyclophorid species (Mollusca, Gastropoda) by H. H. Godwin-Austen (1915). ZooKeys 1049: 43-66. https://doi.org/10.3897/zookeys.1049.66842
Figure 4 Original labels bearing Godwin-Austen's handwriting of Spiraculum kempiA NHMUK 1903.7.1.3105 with the word "Type" and B NHMUK 1903.7.1.3047 with the word "Typic.".
Figure 3 from: Jirapatrasilp P, Ablett JD, Panha S, Sutcharit C (2021) Clarification on the name-bearing type designation of several cyclophorid species (Mollusca, Gastropoda) by H. H. Godwin-Austen (1915). ZooKeys 1049: 43-66. https://doi.org/10.3897/zookeys.1049.66842
Figure 3 Original description of Spiraculum kempi from Godwin-Austen (1915). Red arrow indicates the annotation of "Type". Blue arrow indicates the set of measurements. Credit: The Biodiversity Heritage Library.
Figure 2 from: Jirapatrasilp P, Ablett JD, Panha S, Sutcharit C (2021) Clarification on the name-bearing type designation of several cyclophorid species (Mollusca, Gastropoda) by H. H. Godwin-Austen (1915). ZooKeys 1049: 43-66. https://doi.org/10.3897/zookeys.1049.66842
Figure 2 Original descriptions of ACyclophorus aborensis and BCyclophorus (Glossostylus) koboensis from Godwin-Austen (1915). Red arrows indicate the annotation of "Type". Blue arrows indicate the set of measurements. Credit: The Biodiversity Heritage Library.
Figure 1 from: Jirapatrasilp P, Ablett JD, Panha S, Sutcharit C (2021) Clarification on the name-bearing type designation of several cyclophorid species (Mollusca, Gastropoda) by H. H. Godwin-Austen (1915). ZooKeys 1049: 43-66. https://doi.org/10.3897/zookeys.1049.66842
Figure 1 Figure caption with no page number of some cyclophorid taxa originally described by Godwin-Austen (1915) in A plate 38 and B plate 39. Red boxes indicate the figure caption of the same taxa. Red arrows indicate the annotation of "Type". Credit: The Biodiversity Heritage Library.
Figure 7 from: Jirapatrasilp P, Ablett JD, Panha S, Sutcharit C (2021) Clarification on the name-bearing type designation of several cyclophorid species (Mollusca, Gastropoda) by H. H. Godwin-Austen (1915). ZooKeys 1049: 43-66. https://doi.org/10.3897/zookeys.1049.66842
Figure 7 Record in the NHM Register of Godwin-Austen Collection in Godwin-Austen's handwriting of A No. 3051 Cyclophorus aborensisB No. 3108 Cyclophorus (Glossostylus) bapuensisC No. 3095 Cyclophorus (Glossostylus) sidiensisD No. 3579 Cyclophorus (Glossostylus) koboensisE No. 3105 Spiraculum kempiF No. 3047 Spiraculum kempi, and G No. 3530 Spiraculum luyorensis.
Moderate-severe OSA screening based on support vector machine of the Chinese population facio-cervical measurements dataset: A cross-sectional study
<p><strong>Objectives</strong> Obstructive sleep apnea (OSA) has received much attention as a risk factor for perioperative complications and 68.5% of OSA patients remain undiagnosed before surgery. Facio-cervical characteristics may screen OSA for Asians due to smaller upper airways compared to Caucasians. Thus, our study aimed to explore a machine-learning model to screen moderate-severe OSA based on facio-cervical and anthropometric measurements.</p> <p><strong>Design </strong>A cross-sectional study.</p> <p><strong>Setting</strong> Data were collected from the Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital between February 2019 and August 2020.</p> <p><strong>Participants</strong> A total of 481 Chinese participants were included in the study.</p> <p><strong>Primary and secondary outcome</strong> (1) Identification of moderate-severe OSA with apnea-hypopnea index (AHI)15 events·h<sup>−1</sup>. (2) Verification of the machine learning model.</p> <p><strong>Results</strong> The SABIHC2 model (Sex-Age-Body mass index-maximum Interincisal distance-ratio of Height to thyro-sternum distance-neck Circumference-waist Circumference) was set up. The SABIHC2 model could screen moderate-severe OSA with an area under the curve (AUC)=0.832, the sensitivity of 0.916, and specificity of 0.749, and performed better than the STOP-BANG questionnaire, which showed AUC=0.631, the sensitivity of 0.487, and specificity of 0.772. Especially for asymptomatic patients (ESS < 10), the SABIHC2 model demonstrated better predictive ability compared to the STOP-BANG questionnaire, with AUC (0.824 vs. 0.530), sensitivity (0.892 vs. 0.348), and specificity (0.755 vs. 0.809).</p> <p><strong>Conclusion</strong> The SABIHC2 machine learning model provides a simple and accurate assessment of moderate-severe OSA in the Chinese population, especially for those without significant daytime sleepiness.</p>
Longitudinal Single Cell Atlas Identifies Type I Interferon Response as an Early Transient Prognostic Signature of COVID-19 Severity
<p>The clinical spectrum of COVID-19 ranges from asymptomatic or mildly symptomatic illness to pneumonia, critical illness and death. Molecular markers early in the disease course (Days 1-8) that identify patients at high risk for progression are scarce, due to the paucity of relevant longitudinal studies. We performed longitudinal single cell RNA-seq on 286 peripheral blood samples from 108 age- and gender-matched COVID-19 patients, 73 of which had at least one early sample. By examining discrete cell subtypes as well as continuous single cell states, we identified upregulation of genes related to type I interferon (IFN) signaling as the predominant cellular prognostic signature of future disease severity. Type I IFN signaling was dynamic and complex, spiking early in Progressors and then receding to the level of Non-Progressors at the very next sampling. Across the entire cohort, expression of type I IFN signaling genes dropped steadily, falling to asymptomatic levels by Day 14 regardless of severity. Moreover, in severe and critical cases, IFN signaling was deficient during Days 5-8, potentially due to upregulation of <em>SOCS3</em> and other negative regulators. In summary, we have identified an early expression signature that may predict COVID-19 severity, as well as potential mechanisms underlying the dysfunctional host immune response in severe disease.</p>
Figure 9 from: Panha S, Chanabun R, Sutcharit C, Tongkerd P (2013) The semi-aquatic freshwater earthworms of the genus Glyphidrilus Horst, 1889 from Thailand (Oligochaeta, Almidae) with re-descriptions of several species. ZooKeys 265: 1-76. https://doi.org/10.3897/zookeys.265.3911
Figure 9 - Morphology of the lectotype (ZMH V3600) of Glyphidrilus annandalei Michaelsen, 1910, showing the A external ventral and B internal dorsal views.
Figure 8 from: Panha S, Chanabun R, Sutcharit C, Tongkerd P (2013) The semi-aquatic freshwater earthworms of the genus Glyphidrilus Horst, 1889 from Thailand (Oligochaeta, Almidae) with re-descriptions of several species. ZooKeys 265: 1-76. https://doi.org/10.3897/zookeys.265.3911
Figure 8 - Morphology of the lectotype (ZMH V5875) of Glyphidrilus malayanus Michaelsen, 1902, showing the A external ventral and B internal dorsal views.
Figure 7 from: Panha S, Chanabun R, Sutcharit C, Tongkerd P (2013) The semi-aquatic freshwater earthworms of the genus Glyphidrilus Horst, 1889 from Thailand (Oligochaeta, Almidae) with re-descriptions of several species. ZooKeys 265: 1-76. https://doi.org/10.3897/zookeys.265.3911
Figure 7 - Morphology of the lectotype (ZMH V4512) of Glyphidrilus stuhlmanni Michaelsen, 1897, showing the A external ventral and B internal dorsal views.
Figure 6 from: Panha S, Chanabun R, Sutcharit C, Tongkerd P (2013) The semi-aquatic freshwater earthworms of the genus Glyphidrilus Horst, 1889 from Thailand (Oligochaeta, Almidae) with re-descriptions of several species. ZooKeys 265: 1-76. https://doi.org/10.3897/zookeys.265.3911
Figure 6 - External and internal morphology of the lectotype (ZMH V5097) of Glyphidrilus weberi Horst, 1889, showing the A external ventral and B internal dorsal views.
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.