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193 results for “labeled data”
Test data and checkpoints for Virtual Gram staining of label-free bacteria using CGANs
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White stork tri-axial accelerometer data with behaviour labels
<p>The tri-axial ACC demo dataset from white stork (<i>Ciconia ciconia</i>) (data accessible from the AcceleRater website: http://accapp.move-ecol-minerva.huji.ac.il/) was measured at 10.54 Hz. Forty tri-axial measurements, totalling 3.8 seconds, were used to form a behaviour segment. The dataset includes 1746 segments each forming a row in the dataset. Each row contains 121 columns. The first 120 columns are ACC measurements from three orthogonal axes, arranged as x, y, z, x, y, z, ...,x, y, z. The final column is of type character containing the corresponding behaviour. The dataset contains 5 different behaviours including "A_FLIGHT" - active flight (77 cases), "P_FLIGHT" - passive filght (96), "WALK" - walking (437), "STND" - standing (863), "SITTING" - sitting (273).</p>
W-RAG sampled data and weak labels
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Fig. 1. Type specimens and label data. A in Cafius semiaereus (Cameron), a New Synonym of Cafius cupreipennis (Cameron) (Coleoptera: Staphylinidae: Staphylininae)
Fig. 1. Type specimens and label data. A) Cafius cupreipennis, B) C. semiaereus.
Fig. 1. Type specimens and label data. A in Cafius zealandicus Cameron, a New Synonym of Cafius maritimus (Broun) (Coleoptera: Staphylinidae: Staphylininae)
Fig. 1. Type specimens and label data. A) Cafius maritimus, B) C. zealandicus.
Fig. 1. Type specimens and label data. A in Cafius velutinus Fauvel, a New Synonym of Cafius catenatus Fauvel (Coleoptera: Staphylinidae: Staphylininae)
Fig. 1. Type specimens and label data. A) Cafius catenatus, holotype, B) C. velutinus, lectotype.
Jind-Multi: An extended framework to leverage multiple labeled datasets for the automatic annotation of single-cell RNA and ATAC data
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Data from: Stable isotope labeled n-alkanes to assess digesta passage kinetics through the digestive tract of ruminants
We describe the use of carbon stable isotope (13C) labeled n-alkanes as a potential internal tracer to assess passage kinetics of ingested nutrients in ruminants. Plant cuticular n-alkanes originating from intrinsically 13C labeled ryegrass plants were pulse dosed intraruminally in four rumen-cannulated lactating dairy cows receiving four contrasting ryegrass silage treatments that differed in nitrogen fertilization level (45 or 90 kg nitrogen ha−1) and maturity (early or late). Passage kinetics through the gastrointestinal tract were derived from the δ13C (i.e. the ratio 13C:12C) in apparently undigested fecal material. Isotopic enrichment was observed in a wide range of long-chain n-alkanes (C27–C36) and passage kinetics were determined for the most abundant C29, C31 and C33 n-alkanes, for which a sufficiently high response signal was detected by combustion isotope ratio mass spectrometry. Basal diet treatment and carbon chain length of n-alkanes did not affect fractional passage rates from the rumen (K1) among individual n-alkanes (3.71–3.95%/h). Peak concentration time and transit time showed a quantitatively small, significant (p≤0.002) increase with carbon chain length. K1 estimates were comparable to those of the 13C labeled digestible dry matter fraction (3.38%/h; r = 0.61 to 0.71; p≤0.012). A literature review has shown that n-alkanes are not fermented by microorganisms in the rumen and affirms no preferential depletion of 13C versus 12C. Our results suggest that 13C labeled n-alkanes can be used as nutrient passage tracers and support the reliability of the δ13C signature of digestible feed nutrients as a tool to measure nutrient-specific passage kinetics.
Data from: Immunotherapy-related adverse events (irAEs): extraction from FDA drug labels and comparative analysis
Objectives: Immune checkpoint inhibitors (ICIs) have dramatically improved outcomes in cancer patients. However, ICIs are associated with significant immune-related adverse events (irAEs) and the underlying biological mechanisms are not well-understood. To ensure safe cancer treatment, research efforts are needed to comprehensively detect and understand irAEs. Materials and Methods: We manually extracted and standardized irAEs from FDA drug labels for six FDA-approved ICIs. We compared irAE profile similarities among ICIs and 1,507 FDA-approved non-ICI drugs. We investigated how irAEs have differential effects on human organs by classifying irAEs based on their targeted organ systems. Finally, we identified broad-spectrum (non-target specific) and narrow-spectrum (target-specific) irAEs. Results: A total of 893 irAEs were extracted. 31.4% irAEs were shared among ICIs as compared to the 8.0% between ICIs and non-ICI drugs. irAEs were resulted from both on- and off-target effects: irAE profiles were more similar for ICIs with same target than different targets, demonstrating the on-target effects; irAE profile similarity for ICIs with the same target is less than 50%, demonstrating unknown off-target effects. ICIs significantly target many organ systems, including endocrine system (3.4-fold enrichment), metabolism (3.7-fold enrichment), immune system (3.6-fold enrichment) and autoimmune system (4.8-fold enrichment). We identified 21 broad-spectrum irAEs shared among all ICIs, 20 irAEs specific for PD-L1/PD-1 inhibition, and 28 irAEs specific for CTLA-4 inhibition. Discussion and Conclusion: Our study presents the first effort toward building a standardized database of irAEs. The extracted irAEs can serve as a goldstandard for automatic irAE extractions from other data resources and set a foundation to understand biological mechanisms of irAEs.
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.
Data from: Cannabis labelling is associated with genetic variation in terpene synthase genes
<p>Genetic data consisting of >100,000 single nucleotide polymorphisms (SNPs) collected using genotype-by-sequencing, from 137 drug-type Cannabis samples from the Netherlands. This genetic data along with terpene and cannabinoid content data collected with GC-FID, was used to analyze Cannabis labelling and to perfom a genome-wide association study.</p>
Figure 3 in Lost and found in Ireland; how a data label resulted in a postal delivery to Metriocnemus (Inermipupa) carmencitabertarum (Orthocladiinae)
Figure 3. Front of the Royal Mail envelope that contained the returned vial addressed to "Metriocnemus carmencitabertarum" and showing the An Post date stamp 13 March 2013.
Micro-CT tomographic data set of 38 mummy labels from the BNU in Strasbourg (1/2)
<p><strong>Summary</strong></p> <p>This submission contains a tomographic dataset of 38 mummy labels from the BNU in Strasbourg used to perceive the anatomical identification possibilities of the woods used for mummy labels and to carry out ring width measurements. The data will be made available as part of [Blondel et al., 2024].</p> <p><strong>Apparatus</strong></p> <p>The dataset is acquired using the EasyTom 150/160 X-ray tomograph (RX Solutions). This tomograph is equipped with a sealed X-ray generator with a compact tube and an interchangeable-plane sensor fitted with a CsI scintillator. The CT scanner parameters for the session carried out on the mummy labels were set at 90 Kv with an intensity of 195 mA for an acquisition resolution varying between 11 and 42 µm with 2016 projections (that is about 20 images on average per projection) with a frame rate of 12,5 and a temperature of 28°C. Each image was then reconstructed by filtered retroprojection using the XAct software (RX Solutions).</p> <p><strong>Information on placing mummy labels in the tomograph</strong></p> <p>The installation of the mummy labels was the same for all the different labels, some of which varied in size. They were attached to a plastic clamping vice-type support covered in expanded foam to prevent the labels from being marked during clamping, before being placed on the tomograph's rotating platform.</p> <p><strong>Issues relating to the data collected</strong></p> <p>The data collected for this study were carried out to perceive the possibilities of anatomical identification from tomographic images in the transverse plane. The tangential and radial planes were not of sufficiently high resolution due to the dimensions of the mummy labels, see details in [Blondel et al., 2024]. The other objective was to use tomographic imagery to facilitate the acquisition of ring widths in the transverse plane of mummy labels. The mummy labels were not tomographed in their entirety. Only the central part, a few centimetres high, was tomographed to maximise resolution. The number of projections and the resolution per label are specified in table form in [Blondel et al., 2024], as they vary according to the width and thickness of the mummy labels. All raw tomography image data (i.e. without corrections) are available in .tif format. The post-processing steps are described in the methodology of [Blondel et al., 2024].</p> <p><strong>List of Contents</strong></p> <p>The content of the submission is divided into 38 data sets corresponding to the 38 mummy labels. Each set is labelled with the inventory number of the BNU mummy label and its resolution. Each set contains:<br>- All the images of the transverse plane in .tif format, the number of projections of which varies from one label to another depending on the resolution of the acquisitions, see details in [Blondel et al., 2024].<br>- The .xls file containing a summary of the scanner metadata for each of the mummy labels.<br>- The three images processed in the transverse plane for each label, including those used to measure ring width for the 7 labels for which ring width measurement was possible, as presented in [Blondel et al., 2024].<br>- Colour photographs of the front and back of each tomographed mummy label including those on which ring width measurements were taken on their surface, unless otherwise stated<a title="" href="#_ftn1" name="_ftnref1">[1]</a>. All these photographs are marked: Coll._et_photogr._BNU_Strasbourg_OpenLicence, accompanied by the inventory number.</p> <p><strong>Acknowledgments</strong></p> <p>We would also like to thank engineers Damien Favier and Antoine Egele from the Charles Sadron Institute for their work on the tomographic acquisitions carried out on the 38 mummy labels.</p> <div><br> <div> <p><a title="" href="#_ftnref1" name="_ftn1">[1]</a> The photographs of the front and back of mummy label HO255 are not available, as they are currently being studied.</p> </div> </div>
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
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Data from: Label-free sensitive detection of influenza virus using PZT discs with a synthetic sialylglycopolymer receptor layer
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Data from: Proximity labeling reveals novel interactomes in live Drosophila tissue
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Data from: A serial multiplex immunogold labeling method for identifying peptidergic neurons in connectomes
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White stork tri-axial accelerometer data with behaviour labels
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Data from: Immunotherapy-related adverse events (irAEs): extraction from FDA drug labels and comparative analysis
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Data from: Cannabis labelling is associated with genetic variation in terpene synthase genes
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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.