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Figure 28 in Platylabini (Hymenoptera: Ichneumonidae: Ichneumoninae) of the south-eastern United States: new distributional data, taxonomic notes, illustrated keys, and an annotated catalogue of the genera and species
Figure 28. Platylabus ornatus (Provancher, 1875), holotype ♀. a) Habitus, dorsal view. b) Labels.
Figure 24. Platylabus flavidoclarus Heinrich, 1977 in Platylabini (Hymenoptera: Ichneumonidae: Ichneumoninae) of the south-eastern United States: new distributional data, taxonomic notes, illustrated keys, and an annotated catalogue of the genera and species
Figure 24. Platylabus flavidoclarus Heinrich, 1977, distributional map: known record (in blue).
FIGURE 5 in New data on the fauna of pyraloid moths (Lepidoptera: Pyraloidea) of Dagestan (Russia)
FIGURE 5. Eurhodope cinerea, ♁, Sirtych, 10.vi.2022.
Data Sets of Timing and Kinematics of Late Cenozoic Strike-slip Faults in Western Tibetan Plateau: New Constraints from Provenance Analysis and Detrital Thermochronology
<p>Data Sets of Wei et al. (2023). The manuscript is titled Timing and Kinematics of Late Cenozoic Strike-slip Faults in Western Tibetan Plateau: New Constraints from Provenance Analysis and Detrital Thermochronology</p>
FIGURE 8 in A review of the Anatolian Gomphocerus Thunberg, 1815 (Orthoptera: Acrididae Gomphocerinae) via morphological and bioacoustics characters: data suggesting a new species, a new subgenus and three new statuses
FIGURE 8. Tegmina in both sexes of Anatolian Gomphocerus taxa.
Expression data from 0Month (New Born) Slovak Children with high PCBs exposure
GEO Series GSE32420. Homo sapiens. 29 samples. Type: Expression profiling by array.
Expression data from CACS15-New-Transcript 1(CASC15-NT1 or CANT1) lncRNA overexpressed UM cells
GEO Series GSE71161. Homo sapiens. 12 samples. Type: Expression profiling by array.
Dataset related to article: "Psychosocial Cardiological Schedule-Revised (PCS-R) in a Cardiac Rehabilitation Unit: Reflections Upon Data Collection (2010–2017) and New Challenges"
<p><strong>Introduction: </strong>The Psychosocial Cardiological Schedule (PCS) was developed as a screening tool for patients undergoing cardiac rehabilitation (CR) to detect clinically relevant psychosocial/cognitive problems requiring psychological assessment/intervention. Filled out by a trained nurse, it classifies patients according to their need or not for a psychological interview and intervention provided by the psychologist (PCS-Yes vs. PCS-No).</p> <p><strong>Aims: </strong>The main aim was to compare PCS data collected, respectively, in 2010 and 2017, regarding patients' socio-demographic characteristics, clinical variables, and the inclusion criteria for psychological counseling. Subsequently, the original Italian PCS was revised and an English version of the schedule was provided [PCS-Revised (PCS-R)].</p> <p><strong>Results: </strong>28 patients (aged 53.5 + 12.6 years, M = 20) of the 87 recruited in 2010 vs. 35 (aged 64.9 + 12.7 years, M = 28) of the 83 recruited in 2017 met the criteria for PCS-Yes: age < 55 years, social problems (living alone, no social support), manifest psychological/behavioral problems, suspected neuropsychological disorders, low prescription adherence, inadequate disease awareness. Comparing the two samples (2010 vs. 2017), clinical variables were similar, and the need for a psychological interview did not differ substantially (32.2 vs. 42.2%), but age increased significantly (PCS-Yes: 53.5 ± 12.6 vs. 64.9 ± 12.7 years, <em>p</em> = 0.001; PCS-No: 68.3 ± 8.0 vs. 75.0 ± 7.7 years, <em>p</em> = 0.0001). A significant increase was observed in the recommendation for neuropsychological assessment (3.6 vs. 25.7%, <em>p</em> = 0.02) to confirm eventual cognitive deficits. These results, the clinical experience, and the recent evidences from literature led to the PCS-R, incorporating a psychosocial screening, a psychological/neuropsychological deeper assessment, and a recommendation for a specific intervention to be carried out either during rehabilitation or in outpatient services.</p> <p><strong>Conclusion: </strong>The data comparison highlight changes in the cardiac population, which is aging and more frequently requires neuropsychological assessment. The PCS-R could be considered in clinical practice as a useful screening tool to implement a timely coordinated interdisciplinary intervention, comprehensive of specific and tailored psychotherapeutic techniques.</p>
Data set from Pappone C, Mecarocci V, Manguso F, Ciconte G, Vicedomini G, Sturla F, Votta E, Mazza B, Pozzi P, Borrelli V, Anastasia L, Micaglio E, Locati E, Monasky MM, Lombardi M, Calovic Z, Santinelli V. New electromechanical substrate abnormalities in high-risk patients with Brugada syndrome. Heart Rhythm. 2020 Apr;17(4):637-645. doi: 10.1016/j.hrthm.2019.11.019. Epub 2019 Nov 19. PMID: 31756528.
<p>Data set from Pappone C, Mecarocci V, Manguso F, Ciconte G, Vicedomini G, Sturla F, Votta E, Mazza B, Pozzi P, Borrelli V, Anastasia L, Micaglio E, Locati E, Monasky MM, Lombardi M, Calovic Z, Santinelli V. New electromechanical substrate abnormalities in high-risk patients with Brugada syndrome. Heart Rhythm. 2020 Apr;17(4):637-645. doi: 10.1016/j.hrthm.2019.11.019. Epub 2019 Nov 19. PMID: 31756528.</p> <p> </p> <p>This is the abstract:</p> <p><strong>Background: </strong> The relationship between the typical electrocardiographic pattern and electromechanical abnormalities has never been systematically explored in Brugada syndrome (BrS).</p> <p><strong>Objectives: </strong> The aims of this study were to characterize the electromechanical substrate in patients with BrS and to evaluate the relationship between electrical and mechanical abnormalities.</p> <p><strong>Methods: </strong> We enrolled 50 consecutive high-risk patients with BrS (mean age 42 ± 7.2 years), with implantable cardioverter-defibrillator implantation for primary or secondary prevention of ventricular tachyarrhythmias (ventricular tachycardia/ventricular fibrillation [VT/VF]), undergoing substrate mapping and ablation. Patients underwent 3-dimensional (3D) echocardiography with 3D wall motion/deformation quantification and electroanatomic mapping before and after ajmaline administration (1 mg/kg in 5 minutes); 3D mechanical changes were compared with 50 age- and sex-matched controls. The effect of substrate ablation on electromechanical abnormalities was also assessed.</p> <p><strong>Results: </strong> In all patients, ajmaline administration induced Brugada type 1 pattern, with a significant increase in the electrical substrate (P < .001), particularly in patients with previous spontaneous VT/VF (P = .007). Induction of Brugada pattern was associated with lowering of right ventricular (RV) ejection fraction (P < .001) and worsening of 3D RV mechanical function (P < .001), particularly in the anterior free wall of the RV outflow tract, without changes in controls. RV electrical and mechanical abnormalities were highly correlated (r = 0.728, P < .001). By multivariate analysis, only the area of RV dysfunction was an independent predictor of spontaneous VT/VF (odds ratio 1.480; 95% confidence interval 1.159-1.889; P = .002). Substrate ablation abolished both BrS-electrocardiographic pattern and mechanical abnormalities, despite ajmaline rechallenge.</p> <p><strong>Conclusion: </strong> BrS is an electromechanical disease affecting the RV. The typical BrS pattern reflects an extensive RV arrhythmic substrate, driving consistent RV mechanical abnormalities. Substrate ablation abolished both Brugada pattern and mechanical abnormalities.</p> <p> </p>
New_Phosformer_data_format_for_Dhaval
Open the record for dataset details and reuse information.
Data for: Aprisco Field Station: The spatial structure of a new experimental site focused on agroecology
<p>Data for the data paper "<strong>Aprisco Field Station: The spatial structure of a new experimental site focused on agroecology</strong>". The data contains on the onehand tree locations of 50 1-hectare plots mapped at the Dehesa of the Aprisco Field Station next to the Monfragüe National Park, Torrejón el Rubio, Cáceres, Spain. This data set (TreeDataCorchuelas.xlsx) includes exact location of the trees and diameter at breast hight. On the other hand, the whole farm of 150 hectares including the 50 1-hectare plots was mapped with a drone to get a digital surface model (i.e. digital terrain model [ESP: modelo digital del terreno - MDT (MDT.tif)]) and a vegetation height model (digital elevation model [ESP: modelo digital de elevaciones - MDE (MDE.tif)]) that allows to identify all the trees, shrubs and other vegetation, as well as canopy height and canopy size calculations of all the trees. A 3d model of the digital elevation model is added as pdf (modelo3d.pdf). </p>
The data of PCR and tNGS for A new pathogen pattern of acute respiratory tract infections in primary care after COVID-19 pandemic a multi-center study in southern China
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Colville National Forest (NEW) Ground-based Vector Magnetic Field (L2) 1.0 s Data
Colville National Forest, WA, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (NEW), Station Location: (GEO Latitude 48.3, Longitude 242.9), USGS Network
Rapid growth of new atmospheric particles by nitric acid and ammonia condensation: data resources
<p>Data presented in the manuscript "Rapid growth of new atmospheric particles by nitric acid and ammonia condensation" currently in review.</p> <p>The manuscript associated with this data was written using results from the CLOUD experiment at CERN, and the author list is a subset of the CLOUD collaboration</p>
A new methodology using borehole data to measure angular distances between geological interfaces - Input and processed data
<p>This companion dataset relates to the manuscript "<strong>A new methodology using borehole data to measure angular distances between geological interfaces</strong>", by</p> <p>Michał P. Michalak<sup>a,b,</sup><a href="#sdfootnote1sym"><sup>1</sup></a>, Paweł Marzec<sup>b,</sup><a href="#sdfootnote2sym"><sup>2</sup></a>, Filip Turoboś<sup>c,</sup><a href="#sdfootnote3sym"><sup>3</sup></a>, Paulina Leonowicz<sup>d,</sup><a href="#sdfootnote4sym"><sup>4</sup></a>, Lesław Teper<sup>a,</sup><a href="#sdfootnote5sym"><sup>5</sup></a>, Paweł Gładki<sup>e,</sup><a href="#sdfootnote6sym"><sup>6</sup></a>, Michael J. Pyrcz<sup>f</sup><sup>,</sup><a href="#sdfootnote7sym"><sup>7</sup></a>,</p> <p>Mariusz Szubert<sup>g,</sup><a href="#sdfootnote8sym"><sup>8</sup></a></p> <p><a href="#sdfootnote1anc">1</a> Michał Michalak devised the project, wrote the manuscript, performed the computations and discussed the results.</p> <p><a href="#sdfootnote2anc">2</a> Paweł Marzec conducted the geological interpretation and discussed the results.</p> <p><a href="#sdfootnote3anc">3</a> Filip Turoboś conducted the statistical analysis.</p> <p><a href="#sdfootnote4anc">4</a> Paulina Leonowicz prepared the chapter about stratigraphy.</p> <p><a href="#sdfootnote5anc">5</a> Lesław Teper prepared the chapter about regional geology.</p> <p><a href="#sdfootnote6anc">6</a> Paweł Gładki participated in the study conceptualisation (discussion about distance functions)</p> <p><a href="#sdfootnote7anc">7</a> Michael Pyrcz discussed the applications of the method and revised the statistical section.</p> <p><a href="#sdfootnote8anc">8</a> Mariusz Szubert was responsible for the data acquisition.</p> <p>The archive contains the input and processed data. The input data contains XYZ coordinates of points documenting the investigated interfaces. The output files contains calculated orientations and coordinates of vectors. The output files can be processed in RStudio.</p>
Raw data of "Old and new equations for maximal heart rate prediction in patients with heart failure and reduced ejection fraction on beta-blockers treatment: results from the MECKI score data set"
<p>AIMS: Predicting maximal heart rate (MHR) in heart failure with reduced ejection fraction (HFrEF) still remains a major concern. In such a context, the Keteyian equation is the only one derived in a HFrEF cohort on optimized beta-blockers treatment. Therefore, using the Metabolic Exercise combined with Cardiac and Kidney Indexes (MECKI) data set, we looked for a possible MHR equation, for an external validation of Keteyien formula and, contextually, for accuracy of the historical MHR formulas and their relationship with the HR measured at the anaerobic threshold (AT). METHODS AND RESULTS: Data from 3487 HFrEF outpatients on optimized beta-blockers treatment from the MECKI data set were analyzed. Besides excluding all possible confounders, the new equation was derived by using HR data coming from maximal cardiopulmonary exercise test. The simplified derived equation was [109-(0.5*age) + (0.5*HR rest) + (0.2*LVEF)-(5 if haemoglobin &lt;11 g/dL)]. The R2 and the standard error of the estimate were 0.24 and 17.5 beats min-1 with a mean absolute percentage error (MAPE) = 11.9%. The Keteyian equation had a slightly higher MAPE = 12.3%. Conversely, the Fox and Tanaka equations showed extremely higher MAPE values. The range 75-80% of MHR according to the new and the Keteyian equations was the most accurate in identifying the HR at the AT (MAPEs = 11.3-11.6%). CONCLUSION: The derived equation to estimate the MHR in HFrEF patients, by accounting also for the systolic dysfunction degree and anaemia, improved slightly the Keteyian formula. Both formulas might be helpful in identifying the true maximal effort during an exercise test and the intensity domain during a rehabilitation programme.</p>
Late Permian-Early Triassic intracontinental tectonic inversion in the Junggar Basin, NW China: New insights from detrital zircon geochronology and seismic reflection data
<p>The detrital zircon U-Pb isotope data from the Mahu sag is included in the Supporting Information.</p>
The Datasets for Subduction Polarity Reversal in Papua New Guinea-Solomon Islands Subduction System Indicated by Seismic Reflection Data
<p>The Datasets for Subduction Polarity Reversal in Papua New Guinea-Solomon Islands Subduction System Indicated by Seismic Reflection Data </p>
PDS New Horizons Data Release 1
ALICE, LEISA, LORRI, MVIC, PEPSSI, SDC, SWAP
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.