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Fig. 9 in Gill Monogeneans (Platyhelminthes) Parasitic on Gnathopogon elongatus elongatus and G. caerulescens (Cypriniformes: Gobionidae) from Japan, with Descriptions of One New Species of Dactylogyrus and Three New Species of Bivaginogyrus (Dactylogyridae)
Fig. 9. Whole body of Bivaginogyrus exiguus n. sp. (paratype, MPM Coll.-No. 21903, ventral view).
Assessment of the Quality of Life and Resilience in Ventilated Patients with COVID-19: Findings One year After Hospital Discharge
<p>Assessment of the Quality of Life and Resilience in Ventilated Patients with COVID-19: Findings One year After Hospital Discharge</p> <p>This dataset was collected in a prospective cohort study to evaluate the quality of life and resilience of patients managed with invasive mechanical ventilation due to severe COVID-19, one year after hospital discharge.</p> <p><strong>Methodology</strong></p> <p><strong>Design </strong></p> <p>A prospective cohort study was conducted, and the present study received approval from the Ethics Committee of Universidad del Rosario (DVO005-1957- CV1534). Informed consent was obtained from each patient or their legal caregiver, which was given via telephone.</p> <p><strong>Patients/Population</strong></p> <p>Data were collected from patients who received MV support for respiratory failure secondary to critical illness due to COVID-19. The study included consecutively patients discharged alive from the Hospital Universitario Mayor Méderi located in the city of Bogota, Colombia from March 19, 2020, to April 30, 2021. Patients who passed away after discharge, those with whom telephone communication was not feasible, individuals with cognitive impairment preventing them from responding to the survey without obtaining information from a caregiver, and those who declined to participate in the study (as indicated by the patient and/or caregiver) were excluded from the final analysis.</p> <p><strong>Intervention/Measurement</strong></p> <p>Participants were administered a structured questionnaire that included three scales: PCFS (Post-COVID-19 functional Status Scale), EQ-5D-3L (EuroQol 5 dimensions 3 levels) (administered via telephone application), and CD-RISC (Connor-Davidson Resilience Scale). Permission for the non-commercial use of the EQ-5D-3L scale was obtained from the EuroQol Customer Portal (Registration No. 55265).</p> <p><strong>Statistical Analysis</strong></p> <p>The general characteristics of the population and the results of the PCFS, EQ-5D-3L, and CD-RISC were described. Continuous variables were presented as mean and standard deviation (SD) or median and interquartile range (IQR) depending on the data distribution. Categorical variables were described using absolute and relative frequencies.</p> <p>The PCFS was reported using a grading system ranging from Grade 0, indicating patients who were able to resume their daily activities without limitations, to Grade 4, representing severe functional limitations.</p> <p>The five dimensions of the EQ-5D-3L were considered as numerical variables and scored as follows: 1 for no alteration, 2 for moderate alteration, and 3 for severe alteration. The total score was computed by summing the scores from each dimension, ranging from 5 (indicating optimal quality of life) to 15 (indicating severely compromised quality of life). To assess the usefulness of the PCFS in measuring QoL, Pearson correlations were performed between the total score of the EQ-5D-3L and each individual dimension with the PCFS score.</p> <p>The CD-RISC and its 25 dimensions were evaluated as well. Each dimension was treated as a numerical variable and scored as follows: 0 for no alteration, 1 for mild alteration, 2 for moderate alteration, 3 for severe alteration, and 4 for critical alteration. The total CD-RISC score ranged from 0 (indicating no resilience) to 100 (indicating the best possible resilience). Furthermore, it was hypothesized that patients with higher resilience, as measured by the CD-RISC scale, would have better quality of life (QoL). Pearson correlations were examined between the PCFS score and the total CD-RISC score.</p>
Data for "The DESI One-Percent Survey: Evidence for Assembly Bias from Low-Redshift Counts-in-Cylinders Measurements"
<p>Summary statistics, covariance matrices, and MCMC results for each of our HOD samples. For links to the original data catalogs and instructions to reproduce the analysis, see the README at: <a href="https://github.com/AlanPearl/galtab/tree/main/galtab/paper2/">https://github.com/AlanPearl/galtab/tree/main/galtab/paper2/</a></p> <p>In brief, the desi_observations/desi_obs_*.npz files contain information about each threshold/redshift sample. Data is loaded via `obs_data = np.load(filename, allow_pickle=True)`, and all available fields can be shown via `obs_data.keys()`. Most importantly, our target data and its corresponding covariance matrix can be accessed with the "mean" and "cov" keys, respectively. These arrays can be sliced into our three observables using the slice objects accessed with the "slice_n", "slice_wp", and "slice_cic" keys.<br><br>The emcee MCMC chains for each sample can be found under desi_results/results_*/emcee_backend.h5. To access the chain data (i.e., to construct corner plots of our HOD parameters), you can either follow our paper plot notebooks linked in the README above, or see the <a href="https://emcee.readthedocs.io/en/stable/">emcee documentation</a>.</p>
Figure 8 in Three new Dactylogyrus species (Monogenea: Dactylogyridae) and redescription of one other, gill parasites of five Labeo spp. (Cypriniformes: Cyprinidae) from the Sanaga basin (Cameroon, Central Africa)
Figure 8. Dactylogyrus-groups based on the morphology of dorsal anchors and male copulatory organ.
Figure 1 in Three new Dactylogyrus species (Monogenea: Dactylogyridae) and redescription of one other, gill parasites of five Labeo spp. (Cypriniformes: Cyprinidae) from the Sanaga basin (Cameroon, Central Africa)
Figure 1. Map of the middle section of the Sanaga hydrosystem indicating sampling localities.
Simulation of the Moving Boundary during Freezing of a One-Dimensional Food Slab
<p>To calculate the moving boundary (MB) of a finite 1D moist food slab, which is cooled by convection at the exposed surface, a finite difference model was employed, invoking the Stefan condition. The primary objective of this project was to generate synthetic data comprising MB position-time pairs. The MB time profiles were generated using a nearly orthogonal array, which accounts for the effects of the Biot number, dimensionless cooling-medium temperature, dimensionless latent heat, and thermal conductivity parameter. The last two parameters play a crucial role in controlling the temperature dependence of the effective heat capacity and thermal conductivity of the food material. The generated data will be utilized to develop statistical models of the MB, effectively accounting for the influence of temperature-dependent thermal properties</p>
Validation of the EQ-5D-3L in Patients with Severe COVID-19 One Year After Hospital Discharge
<p>This is a prospective cohort study database aimed at validating the EQ-5D-3L in patients with COVID-19 who underwent invasive mechanical ventilation, assessing their quality of life one year after hospital discharge.</p>
Association Between Change in The Peripheral Biomarkers of Inflammation, Astrocyte Activation, and Neuroprotection at One Week of Critical Illness and Hospital Mortality in Patients with Delirium: A Prospective Cohort Study
<p>Dataset for the following publication: Association Between Change in The Peripheral Biomarkers of Inflammation, Astrocyte Activation, and Neuroprotection at One Week of Critical Illness and Hospital Mortality in Patients with Delirium: A Prospective Cohort Study</p>
Dataset for "Excellent test-retest reliability of the six-minute walking distance measured by FeetMe insoles during tests conducted with a one-week interval by completely unassisted healthy adults in their homes."
<p>This is the dataset used in the scientific article "Excellent test-retest reliability of the six-minute walking distance measured by FeetMe insoles during tests conducted with a one-week interval by completely unassisted healthy adults in their homes." Participants (n=21) performed two 6MWTs at home while wearing the FeetMe<sup> </sup>insoles, and two 6MWTs at hospital while wearing FeetMe<sup> </sup>insoles and being assessed by a rater. All assessments were performed with a one-week interval between tests, no assistance was provided to the participants at home. Each column represents the 6MWD for each participant at one of the visits and using one of the measurement methods. Columns' headers provide clear description of the corresponding condition.</p>
Dataset from "A one-pot chitosan pyrolysis in the presence of a ZnCl 2 /NaCl salts for carbons with electrocatalytic activity"
<p>Dataset from manuscript entitled: "A one-pot chitosan pyrolysis in the presence of a ZnCl 2 /NaCl salts for carbons with electrocatalytic activity"</p>
One-point Integral and Turbulent wind Characteristics at the FINO1 Platform (2007-2008)
<p><strong>Dataset</strong>: One-point Integral and Turbulent wind Characteristics at the FINO1 Platform (2007-2008)</p> <p><strong>Authors:</strong> Cheynet, E.</p> <p><strong>Description:</strong></p> <p>This dataset offers a comprehensive collection of wind measurements derived from continuous sonic anemometer recordings at the FINO1 offshore platform during the years 2007 and 2008. The measurements were conducted to investigate the properties and characteristics of wind turbulence in the marine atmospheric boundary layer, especially in relation to atmospheric stability. The data provide insights that have potential implications for the design and safety of offshore structures, particularly wind turbines, as they relate to wind loads. The database includes aggregated mean flow data alongside one-point turbulent characteristics.</p> <p><strong>Tutorial:</strong></p> <p><a href="https://se.mathworks.com/matlabcentral/fileexchange/134446-offshore-wind-turbulence-characteristics-at-fino1">https://se.mathworks.com/matlabcentral/fileexchange/134446-offshore-wind-turbulence-characteristics-at-fino1</a></p> <p><strong>Content Overview:</strong></p> <ul> <li><strong>Format:</strong> Matlab (.mat) files.</li> <li><strong>Data Duration:</strong> The dataset spans two years, from 2007 to 2008.</li> <li><strong>Volume:</strong> 24 separate .mat files, approximately one file for each month of the two-year period.</li> <li><strong>Measurement Tool:</strong> Sonic anemometer positioned at the FINO1 offshore platform.</li> <li><strong>Primary Features:</strong> Aggregated mean flow and one-point turbulent characteristics.</li> </ul> <p> </p> <p><strong>Relevance and Applications:</strong></p> <ol> <li>Exploration of the validity of various turbulence models (e.g., Kaimal or Mann spectral models) in offshore environments.</li> <li>Study of the single-point auto-spectral and cross-spectral densities of wind turbulence.</li> <li>Assessment of the applicability of certain standards, such as IEC 61400-1 and IEC 61400-3, especially in the context of the North Sea wind turbines.</li> </ol> <p><strong>Literature Related to the Dataset:</strong></p> <ul> <li>Cheynet, E., Jakobsen, J. B., & Obhrai, C. (2017). Spectral characteristics of surface-layer turbulence in the North Sea. Energy Procedia, 137, 414-427. Elsevier.</li> <li>Cheynet, E., Jakobsen, J. B., & Reuder, J. (2018). Velocity spectra and coherence estimates in the marine atmospheric boundary layer. Boundary-layer meteorology, 169(3), 429-460. Springer Netherlands.</li> <li>Cheynet, E. (2019). Influence of the Measurement Height on the Vertical Coherence of Natural Wind. Lecture Notes in Civil Engineering, 27, 207-221. Springer.</li> </ul>
Supplementary material to "Partnerships between private landowners and conservationists to protect one of the most evolutionarily distinct amphibians"
<p>Table S1 (PDF file): Habitat quality scores for two high-gradient streams present in the private protected area Refugio de Ranitas Aldea del Viento, Los Pellines, Valdivia, Chile. Scores for 10 habitat parameters were determined using the visual-based habitat assessment protocol described by Barbour et al. (1999) for high-gradient streams. Parameters were measured at four points per stream, distributed evenly across a 250-m section. Habitat quality scores defined by Barbour et al. (1999) are coloured according to four condition categories (green = optimal, yellow = suboptimal, orange = marginal, red = poor). <em>Insuetophrynus acarpicus</em> individuals were only found in stream B.</p> <p>Literature search Barrio's frogs (xls file): Research publications about Barrio’s frogs published since the description of the species in 1970. Publications were searched using Web of Science and Google Scholar with the terms “Insuetophrynus” OR “Barrio’s frog”. We excluded species checklists or reviews that mentioned the species without providing novel information or analyses. In this file we provide the full list of articles, including bibliographic information. The search was performed on 7th August 2023.</p>
Supplementary material to "Partnerships between private landowners and conservationists to protect one of the most evolutionarily distinct amphibians"
<p>Table S1 (PDF file): Habitat quality scores for two high-gradient streams present in the private protected area Refugio de Ranitas Aldea del Viento, Los Pellines, Valdivia, Chile. Scores for 10 habitat parameters were determined using the visual-based habitat assessment protocol described by Barbour et al. (1999) for high-gradient streams. Parameters were measured at four points per stream, distributed evenly across a 250-m section. Habitat quality scores defined by Barbour et al. (1999) are coloured according to four condition categories (green = optimal, yellow = suboptimal, orange = marginal, red = poor). <em>Insuetophrynus acarpicus</em> individuals were only found in stream B.</p> <p>Literature search Barrio's frogs (xls file): Research publications about Barrio’s frogs published since the description of the species in 1970. Publications were searched using Web of Science and Google Scholar with the terms “<em>Insuetophrynus</em>” OR “Barrio’s frog”. We excluded species checklists or reviews that mentioned the species without providing novel information or analyses. In this file we provide the full list of articles, including bibliographic information. The search was performed on 7th August 2023.</p>
One year time series of relative electric (onshore and offshore) wind turbine power datasets
<p>The datasets (in dat file format) contain ordered time series (in unit of hours with 15 minutes time resolution) of relative electric wind turbine (WT) power (expressed in percentage) of one randomly selected year (05 August 2022 to 04 August 2023) and four of its constituting weeks (01 to 07 SEP 2022, 02 to 08 JAN 2023, 13 to 19 MAR 2023 and 16 to 22 JUL 2023) with their associated graphs (in PNG file format). The original data stem from the electricity grid of Flanders (onshore) and Belgium (offshore) as provided by Elia ( <a href="https://priv-lu-myremote.tech.ec.europa.eu/en/grid-data/power-generation/,DanaInfo=.awxyCiqohHko,SSL+solar-pv-power-generation-data">https://www.elia.be/en/grid-data/power-generation/solar-pv-power-generation-data</a> ) under CC BY 4.0 license (<a href="https://priv-lu-myremote.tech.ec.europa.eu/en/grid-data/,DanaInfo=.awxyCiqohHko,SSL+elia-open-data-license?csrt=16568311101247852187">https://www.elia.be/en/grid-data/elia-open-data-license?csrt=16568311101247852187</a>). The relative electric WT power was derived by dividing the measured electric WT power by the monitored peak electric WT power multiplied by 100 %.</p>
One year time series of relative electric photovoltaic power dataset
<p>The datasets (in dat file format) contain ordered time series (in unit of hours with 15 minutes time resolution) of relative electric photovoltaic (PV) power (expressed in percentage) of one randomly selected year (05 August 2022 to 04 August 2023) and four of its constituting weeks (01 to 07 SEP 2022, 02 to 08 JAN 2023, 13 to 19 MAR 2023 and 16 to 22 JUL 2023) with their associated graphs (in PNG file format). The original data stem from the electricity grid of Brussels as provided by Elia ( <a href="https://priv-lu-myremote.tech.ec.europa.eu/en/grid-data/power-generation/,DanaInfo=.awxyCiqohHko,SSL+solar-pv-power-generation-data">https://www.elia.be/en/grid-data/power-generation/solar-pv-power-generation-data</a> ) under CC BY 4.0 license (<a href="https://priv-lu-myremote.tech.ec.europa.eu/en/grid-data/,DanaInfo=.awxyCiqohHko,SSL+elia-open-data-license?csrt=16568311101247852187">https://www.elia.be/en/grid-data/elia-open-data-license?csrt=16568311101247852187</a>). The relative electric PV power was derived by dividing the measured electric PV power by the monitored peak electric PV power multiplied by 100 %.</p>
Book One of The Iliad, Persian and Kurdish Translation with Word-level Alignment to the Treebank, Didakta Annotations and Glossary
<p>This dataset includes Persian and Kurdish translation of book one of the Iliad, aligned at word-level with the treebanks. The Persian translation is by Farnoosh Shamsian and the Kurdish translation by Farshid Rahimi. The dataset also includes glossaries in both languages. </p> <p>The treebank data combines both the UD treebank and the Perseus treebank in one spreadsheet. The Perseus treebank is available here: <a href="http://perseusdl.github.io/treebank_data/">http://perseusdl.github.io/treebank_data/</a></p> <p>The UD version is converted by Francesco Mambrini. For more information, see: <a href="https://github.com/francescomambrini/katholou/tree/main/ud_treebanks/agdt/data">https://github.com/francescomambrini/katholou/tree/main/ud_treebanks/agdt/data</a></p> <p>Both translations are aligned word by word to the treebank according to guidelines. The guideline for the Persian alignment is available here:</p> <p>Farnoosh Shamsian. (2023). Alignment Guidelines for Classical Greek-Persian. Zenodo. <a href="https://doi.org/10.5281/zenodo.8039931">https://doi.org/10.5281/zenodo.8039931</a></p> <p>The spreadsheet also contains Didakta annotations. For moe information about Didakta, see: </p> <p>Farnoosh Shamsian. (2023). Didakta Grammar for Annotation (English). Zenodo. <a href="http://https://doi.org/10.5281/zenodo.8318137">https://doi.org/10.5281/zenodo.8318137</a></p> <p> </p>
Videos For: One-shot recognition of any material anywhere using contrastive learning with physics-based renderin
<p>Demonstration Video:</p> <p>Image Recognition of Materials States And Types From Single Example Identifying the state of the material in the main video by matching it to a few reference images (top). Each image contains a specific material state or type. The best match image is marked green. Based on the net for identifying similarity between any material state and type. The code for the net and the trained model used for this is available at: https://github.com/sagieppel/Contrastive-learning-for-one-shot-materials-and-textures-similarity-recognition-from-images Paper : One-shot recognition of any material anywhere using contrastive learning with physics-based rendering. https://arxiv.org/abs/2212.00648</p>
Raw data for the article "One-Pot Synthesis of Functionalized Bis(trifluoromethylated) Benziodoxoles from Iodine(I) Precursors"
<p>Raw NMR, IR and MS data for the article "One-Pot Synthesis of Functionalized Bis(trifluoromethylated) Benziodoxoles from Iodine(I) Precursors" published in Chemical Communications, DOI: </p> <p><a href="https://doi.org/10.1039/D3CC04525K">https://doi.org/10.1039/D3CC04525K</a></p> <p>The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.</p>
Votive Offering One
By Hannah Healy One of three sculptured stones found at St Colmán's Well ([Tobar Cholmáin](http://https://pilgrimagemedievalireland.com/2015/11/15/st-colmans-holy-well-at-oughtmama-co-clare/)). The well is part of the monastic landscape of Oughtmama, a small monastic site located in a valley above Turlough Hill in the Burren, Co. Clare. The stones were presented to the museum by Rev. O'Doherty, Lord Bishop of Galway. **Further Reading:** Danièle Cybulskie, "[Memento Mori: Medieval Images of Death](http://www.medievalists.net/2014/10/memento-mor-medieval-images-death/)", *medievalistsnet*. Web. 29 November 1916 "[Crucifixes Europe](http://www.rosaryworkshop.com/MUSEUM-Cean.htm)", *rosaryworkshop*, Web. 29 November 2016. Source: Objaverse 1.0 / Sketchfab
Dou Food Vessel lid, one of a pair, 400 BCE
Ancient Chinese bronze food vessel (lid), dating to 400 BCE, now in the collection of the Minneapolis Institute of Art. A scan of a base of the vessel is here: https://skfb.ly/6As6A More information: https://collections.artsmia.org/art/11973/dou-food-vessel-one-of-a-pair-china Source: Objaverse 1.0 / Sketchfab
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.