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76 results for “Coma”
Science ready spectra and their best-fitting models described in the research paper ``Internal dynamics and stellar content of nine ultra-diffuse galaxies in the Coma cluster prove their evolutionary link with dwarf early-type galaxies'' by Chilingarian et al.
<p>Science ready spectra of nine ultra-diffuse galaxies in the Coma cluster collected with the Binospec multi-object spectrograph and their best-fitting PEGASE.HR templates obtained using the NBursts full spectrum fitting code. These spectra were presented in the paper ``Internal dynamics and stellar content of nine ultra-diffuse galaxies in the Coma cluster prove their evolutionary link with dwarf early-type galaxies'' by Chilingarian et al. accepted for publication in the Astrophysical Journal on Sep/3/2019 (arXiv:1901.05489).</p> <p>Each spectrum is presented as a binary FITS table, which contains a spectrum (wavelength, flux, uncertainties), best-fitting template, best-fitting parameters (radial velocity, age, metallicity), and a pixel mask used in the fitting procedure. For six galaxies there are two files provided: (i) one-dimensional optimally extracted integrated spectrum and (ii) two dimensional spectrum for spatially resolved radial velocity information. For the remaining three galaxies, only spatially resolved spectra are provided.</p>
Dataset of the study: Explaining recovery from coma with multimodal neuroimaging
Open the record for dataset details and reuse information.
Ascending arousal network connectivity during recovery from traumatic coma
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Karst diagram from PhD thesis of Laia Comas-Bru
<p>Schematic illustration showing the formation of speleothems</p> <p>Formats: editable pdf and jpeg.</p> <p>Versions: one with the parameters modifying stable oxygen isotopes and one without.</p> <p>Original image: Fig 1.3 of "Schematic illustration showing the formation of speleothems" PhD thesis of Laia Comas-Bru. University College Dublin, Ireland.2015.</p>
Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor mission to a dynamically new comet
<p>This data-set contains all results from the Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor (CI) mission to a dynamically new comet.</p> <p>A full description of the model behind the data can be found in the peer-reviewed paper <strong>Marschall, Zakharov et al. (2022), <a href="https://doi.org/10.1051/0004-6361/202243648">https://doi.org/10.1051/0004-6361/202243648</a>.</strong> Please cite this data-set and the paper when using the data.</p> <p>Contemporary numerical models of dusty-gas coma are used to obtain spatial distribution of dust for a given set of parameters. By varying parameters within a range of possible values we obtain an ensemble of possible dust distributions. Then, this ensemble is statistically evaluated in order to define the most probable cases and hence reduce the dispersion. This ensemble can be used to estimate not only the likely dust abundance along e.g. a fly-by trajectory of a spacecraft but also quantify the associated uncertainty.</p> <p>The dust environment assessment for the case when the target comet is not known beforehand (or when its parameters are known with large uncertainty) is critical for spacecraft safety and planning. The EDCM provides an assessment of dust environment for the CI mission.</p>
Figuras 11-12 in Nueva especie de Leptanobium Español y Comas, 1988 (Coleoptera: Ptinidae) del norte de Chile
Figuras 11-12. Leptanobium striatus sp. n. 11. Distribución geográfica. 12. Hábitat: Quebrada de Talca, Provincia de Elqui (a), ejemplar vivo en tallo de Senna cumingii (b). / Leptanobium striatus sp. n. 11. Geographical distribution. 12. Habitat: Quebrada de Talca, Provincia de Elqui (a), live specimen in Senna cumingi stem (b).
Figuras 1-10 in Nueva especie de Leptanobium Español y Comas, 1988 (Coleoptera: Ptinidae) del norte de Chile
Figuras 1-10. Leptanobium striatus sp. n., macho. 1. Hábito en vista dorsal (a), ventral (b) y lateral (c). 2. Cabeza. 3. Antena. 4. MandÍbula izquierda. 5. Pronoto en vista lateral. 6. Prosterno en vista frontal. 7. Meso y metaventrito. 8. Abdomen. 9. Pata posterior. 10. Edeago en vista dorsal (a), ventral (b) y lateral (c); saco interno del lóbulo medio, espinas basales (d), espinas mediales (e) y espina apical (f). / Leptanobium striatus sp. n., male. 1. Habitus in dorsal (a), ventral (b) and lateral views (c). 2. Head. 3. Antenna. 4. Left mandible. 5. Pronotum in lateral view. 6. Prosternum in frontal view. 7. Meso and metaventrite. 8. Abdomen. 9. Hind leg. 10. Aedeagus in dorsal (a), ventral (b) and lateral views (c); inner sac of the middle lobe, basal spines (d), spines on the middle (e) and apical spine (f).
Comet C/2020F3 (Neowise) with separate dust and ion gas tails and a green glowing coma, by Dietmar Gutermuth, Germany
<p>Second place in the 2021 IAU OAE Astrophotography Contest, category Comets.</p> <p>Comets have a very interesting structure comprising of four main parts: the nucleus, composed of rock, dust and frozen gases, typically spanning a few kilometres, although bigger ones have been observed; a small atmosphere of gas surrounding the nucleus (only present when the comet approaches its closest point to the Sun), called coma; and the two distinctive cometary tails (there is at times third tail). The green colour of the coma is due to carbon and nitrogen present in the coma reacting with the Sun’s ultraviolet radiation. The tail that we are mostly used to observing – dust tail and is composed of micron sized dust particles, the second tail composed of charged particles – ion or gas tail. The tails are released only when the comet approaches the Sun at a distance where the heat and radiation emanating from our star is intense enough to vaporize the frozen gases. The dust tail is curved, while the gas tail is straight and always points away from the Sun as this is carried by the solar wind - flow of charged particles emitted by the Sun. As comets are formed by leftover material, they carry with them important information about the early stages of the Solar System’s formation. This beautiful image shows the comet C/2020 F3 (Neowise), as seen from Germany in July 2020, with three of the four structures clearly visible – coma, gas, and dust tail.</p> <p>Credit:<strong> </strong>Dietmar Gutermuth/IAU OAE</p>
Pintures rupestres de Vall de la Coma
**CAT** La Vall de la Coma és un conjunt de pintures rupestres d'estil esquemàtic situades a l'Albi (les Garrigues). Estan protegides com a BCIN i inscrites a la llista de Patrimoni Mundial de la UNESCO. **ES** El Valle de la Coma es un conjunto de pinturas rupestres de estilo esquemático situadas en l'Albi (Les Garrigues). Están protegidas como BCIN y inscritas en la lista de Patrimonio Mundial de la UNESCO. **EN** The Valle de la Coma is a set of schematic-style cave paintings located in l'Albi (Les Garrigues). They are protected as BCIN and inscribed on the UNESCO World Heritage list. [Web UNESCO](http://whc.unesco.org/en/list/874) [Art Rupestre de l'Arc Mediterrani de la Península Ibèrica. Departament de Cultura](https://bit.ly/3t8U4II) Número IPA: 2782 Registre BCIN: 2014-ZA Model: Núria Sala. Servei d'Arqueologia i Paleontologia. Calc de les pintures: Anna Alonso i Àlex Mir.  Source: Objaverse 1.0 / Sketchfab
Effects of a Vibro-Tactile P300 Based Brain-Computer Interface on the Coma Recovery Scale-Revised in Patients With Disorders of Consciousness
<p>Persons diagnosed with disorders of consciousness (DOC) typically suffer from motor and cognitive disabilities. Recent research has shown that non-invasive brain-computer interface (BCI) technology could help assess these patients’ cognitive functions and command following abilities. 20 DOC patients participated in the study and performed 10 vibro-tactile P300 BCI sessions over 10 days with 8–12 runs each day. Vibrotactile tactors were placed on the each patient’s left and right wrists and one foot. Patients were instructed, via earbuds, to concentrate and silently count vibrotactile pulses on either their left or right wrist that presented a target stimulus and to ignore the others. Changes of the BCI classification accuracy were investigated over the 10 days. In addition, the Coma Recovery Scale-Revised (CRS-R) score was measured before and after the 10 vibro-tactile P300 sessions. In the first run, 10 patients had a classification accuracy above chance level (>12.5%). In the best run, every patient reached an accuracy ≥60%. The grand average accuracy in the first session for all patients was 40%. In the best session, the grand average accuracy was 88% and the median accuracy across all sessions was 21%. The CRS-R scores compared before and after 10 VT3 sessions for all 20 patients, are showing significant improvement (<em>p</em> = 0.024). Twelve of the twenty patients showed an improvement of 1 to 7 points in the CRS-R score after the VT3 BCI sessions (mean: 2.6). Six patients did not show a change of the CRS-R and two patients showed a decline in the score by 1 point. Every patient achieved at least 60% accuracy at least once, which indicates successful command following. This shows the importance of repeated measures when DOC patients are assessed. The improvement of the CRS-R score after the 10 VT3 sessions is an important issue for future experiments to test the possible therapeutic applications of vibro-tactile and related BCIs with a larger patient group.</p>
Analysis of constrained simulations of the Coma cluster and of its surrounding cosmic web
<p>The advent of wide-area spectroscopic galaxy surveys has allowed us to start investigating the properties of the filaments of the cosmic web. How filaments connect to clusters and how these connections impact cluster evolution is a hot topic in astrophysics, of interest for ongoing experiments and future facilities (from both the gas phase perspective, e.g. eROSITA, and the galaxy distribution, e.g. Euclid). The average connectivity (number of connected filaments) of a few observed and simulated clusters has been measured and it has been found that it scales with cluster mass. We applied a cosmic web detection algorithm (DisPerSE) to the Sloan Digital Sky Survey (SDSS) to detect the filaments from the galaxy distribution. We then detected three secure filaments connecting to the Coma cluster. This discovery lead to the developing of a further investigation based on constrained numerical simulations, which allow us to reproduce in detail a portion of the nearby Universe, recreating observed clusters including Coma. We analysed these simulations, with the aim of studying the evolution of the filaments around Coma throughout cosmic history and determining the impact of matter accretion channeled through these structures on the evolution of the Coma cluster. In this talk I will review our previous results and introduce the findings we obtained with the study of our constrained numerical simulations.</p>
SPIRIT Checklist & Model Consent for 'Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria and Other Comas by Optical Coherence Tomography (OCT in CM) – A protocol for an observational cohort study of Malawian children'
<p>This dataset contains the SPIRIT checklist (adapted to a observational trial) and model consent forms for the OCT in CM study protocol. The protocol will be submitted as a paper to Wellcome Open Research.</p>
The role of body mass in limiting post heat-coma recovery ability in terrestrial ectotherms
<p>Under global warming, animal species show shrinking body size responses to heat, cascading into deep changes in community structure and ecosystem functions. Although the exact physiological mechanism behind this phenomenon remains unsolved, smaller individuals are expected to benefit from warming climate conditions more than larger ones.</p> <p>Heat-coma, a physiological state with severe consequences on locomotion ability, is often considered an "ecological death" scenario under which individuals are unable to escape and are exposed to predation, further heat injury, and other hazards. Species are expected to increasingly encounter heat-coma temperature thresholds under warming, and body size may be an important trait for thermoregulation in particular for ectotherms. The relationship between heat-coma and shrinking body size, however, remains unclear. Yet, recovery after short-term heat-coma is possible, and little is known about its importance in thermal adaptation and how organismal size changes respond to post heat-coma recovery.</p> <p>Here, we used ants, a classic model in ecophysiology, and first set an <em>in situ</em> experiment to examine the fate of heat-comatose individuals under field conditions to understand associated benefits of post heat-coma recovery. Then we quantified ants' recovery ability after heat-coma using a coma-inducing dynamic thermal assay and asked if thermal resilience varies between species with different body mass.</p> <p>Our results confirm that heat-coma represents an inherent ecological death with recovery after heat coma limiting predator capture. Additionally, following phylogenetic signals inclusion, organisms with small mass were more likely to recover, supporting the temperature-size rule and of recent studies supporting a decrease in body size composition of ectotherm community under warmer climatic conditions. Body size as a fundamental trait in ecology thus affects ectotherm survival in extreme hot conditions, with our findings suggesting how temperature stress could ultimately affect species' body size and community composition.</p>
The Efficacy of Familiar Voice Stimulation During Coma Recovery
ClinicalTrials.gov study NCT00557076. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Microcirculatory Perfusion in Patients With Coma After Out-of-hospital Cardiac Arrest
ClinicalTrials.gov study NCT01850485. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The role of body mass in limiting post heat-coma recovery ability in terrestrial ectotherms
Open the record for dataset details and reuse information.
Data from: Neural dysfunction correlates with heat coma and CTmax in Drosophila but does not set the boundaries for heat stress survival
<p>When heated, insects lose coordinated movement followed by the onset of heat coma (critical thermal maximum, CTmax). These traits are popular measures to quantify interspecific and intraspecific differences in insect heat tolerance, and CTmax correlates well with current species distributions of insects, including <em>Drosophila</em>. Here, we examined the function of the central nervous system (CNS) in five species of <em>Drosophila</em> with different heat tolerances, while they were exposed to either constant high temperature or a gradually increasing temperature (ramp). Tolerant species were able to preserve CNS function at higher temperatures and for longer durations than sensitive species, and similar differences were found for the behavioural indices (loss of coordination and onset of heat coma). Furthermore, the timing and temperature (constant and ramp exposure, respectively) for loss of coordination or complete coma coincided with the occurrence of spreading depolarisation (SD) events in the CNS. These SD events disrupt neurological function and silence the CNS, suggesting that CNS failure is the primary cause of impaired coordination and heat coma. Heat mortality occurs soon after heat coma in insects; to examine whether CNS failure could also be the proximal cause of heat death, we used selective heating of the head (CNS) and abdomen (visceral tissues). When comparing the temperature causing 50% mortality (LT50) of each body part versus that of the whole animal, we found that the head was not particularly heat sensitive compared with the abdomen. Accordingly, it is unlikely that nervous failure is the principal/proximate cause of heat mortality in <em>Drosophila</em>.</p>
Pain Protocol: Nociception Coma Scale-Revised With Personalized Stimulus
ClinicalTrials.gov study NCT06012357. IPD Sharing: YES. Countries: 1. Publications: 1.
Longitudinal Study of the Default-mode Network Connectivity in Brain Injured Patients Recovering From Coma
ClinicalTrials.gov study NCT01620957. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Carbon Monoxide-induced Coma: Prognostic Factors
ClinicalTrials.gov study NCT03926494. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
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.