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120 results for “CATASTROPHIZING”
Development and Validation of a Daily Pain Catastrophizing Scale
ClinicalTrials.gov study NCT02778555. IPD Sharing: NO. Countries: 0. Publications: 1.
Preoperative Pain Catastrophizing and Its Association With Postoperative Pain After Lower Limb Trauma Surgery
ClinicalTrials.gov study NCT03758560. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Physiotherapy and Therapeutic Education on Patients With Pain Catastrophism Scheduled for a Total Knee Arthroplasty
ClinicalTrials.gov study NCT03847324. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: The role of temperature and dispersal in moss-microarthropod community assembly after a catastrophic event
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Data from: Multiple scales of genetic connectivity in a brooding coral on isolated reefs following catastrophic bleaching
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Data from: Population structure and historical demography of South American sea lions provide insights into the catastrophic decline of a marine mammal population
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Data from: Catastrophic storms, forest disturbance, and the natural history of Swainson’s warbler
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Data from: Combined bottom-up and top-down pressures drive catastrophic population declines of Arctic skuas in Scotland
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Maintaining historic disturbance regimes increases species’ resilience to catastrophic hurricanes
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Data from: Catastrophic health expenditure according to employment status in South Korea: A population-based panel study
Objectives: Catastrophic health expenditure (CHE) means that medical spending of a household exceeds a certain level of capacity to pay. Previous studies of CHE have focused on benefits supported by the public sector or high medical cost incurred by treating diseases in South Korea. This study examines variance of CHE in these households according to changes in employment status. We also determine whether a relationship exists according to income level. Design: A longitudinal study. Setting: We used the Korea Welfare Panel Study (KOWEPS) conducted by the Korea Institute. Participants: These data consisted of 5,335 households during 2009-2012. Outcome measure: CHE defined as health expenditures that were 40% greater than the ability of the household to pay. Results: Households with people who experienced changes in job status from employed to unemployed (OR 2.79, 95% CI 2.06-3.78) or were unemployed with no status change (OR 1.57, 95% CI 1.28-1.92) were more likely to incur CHE compared to those who were consistently employed. In addition, low-income families that either lost a job (OR 3.52, 95% CI 2.44-5.10) or were already unemployed (OR 1.67, 95% CI 1.29-2.16) were more likely to incur CHE compared to those with a consistent job. Conclusions: Given the insecure employment status of people with low-income, they are more likely to face barriers in obtaining needed health services. Meeting their needs for health care is an important consideration.
Supporting Data for Martin et al. 2024 in ESPL: "Quantifying landscape change following catastrophic dam failures in Edenville and Sanford, Michigan, USA"
<p><strong>Source:</strong></p> <p>This dataset supports the publication: Martin, H.K., Edmonds, D.A., Yanites, B.J. & Niemi, N.A. (2024) Quantifying landscape change following catastrophic dam failures in Edenville and Sanford, Michigan, USA. Earth Surf. Process. Landforms, Available from: <a href="https://doi.org/10.1002/esp.5855" target="_blank" rel="noopener">https://doi.org/10.1002/esp.5855</a>. All of the details about how these data were collected and processed are provided in that paper, particularly in the Supporting Information.</p> <p><strong>Brief Summary:</strong></p> <p>On May 19, 2020, the Edenville and Sanford dams near Midland, Michigan, USA failed as the result of significant rainfall over the preceding two days. We analyzed the geomorphic impacts of these failures using a pre-failure airborne lidar dataset and three UAV-based lidar surveys collected two weeks ("2020-06"), three months ("2020-08)", and eleven months ("2021-04") post-failure. The pre-failure airborne lidar dataset was merged from two datasets hosted on OpenTopography as part of the USGS 3DEP project. These are linked to in the Supporting Information document for the above manuscript. This upload contains data from the three UAV-based surveys we collected.</p> <p><strong>Structure/Contents:</strong></p> <p>The .zip file is structured first by dates, with each folder corresponding to one of our three field campaigns. <br>Within each date folder, there are two folders: one for data collected at Edenville and another for data collected at Sanford. <br>Within each location folder, there are two items. <br> 1. One is a .las file that contains the ground-classified point cloud data. For Edenville, these point clouds are merged from data collected from multiple launch locations. The point cloud file has had corrections applied to it. It corresponds to the output that results from the Supporting Information through the end of section 2.3: Lidar processing. These files can be opened and worked with using most-any software that handles point clouds; users preferring free and open source software could consider using CloudCompare [https://cloudcompare.org/].<br> 2. The second is a folder containing DEMs, which are raster images derived from the point cloud data in the corresponding location folder. Each pixel contains the elevation of that area in meters above sea level. Two copies are provided: one with the pixel size set to 50 cm by 50 cm, and the other set to 1 m by 1 m. These were created by constructing a triangular lattice between ground-classified points in the point cloud and then sampling the mesh. These maps are provided for convenience for users who prefer to work with raster data over point clouds or would otherwise prefer not to have to rasterize point cloud data themselves. These files can be opened and worked with using any GIS software; users preferring free and open source software could consider using QGIS [https://www.qgis.org/en/site/]. The CRS is NAD83 UTM Zone 16N.</p> <p><strong>Citation/License:</strong> </p> <p>Please use our data! We ask that, if you do so and any published work results, you please cite the following manuscript as well as this zenodo dataset:</p> <p>Martin, H.K., Edmonds, D.A., Yanites, B.J. & Niemi, N.A. (2024) Quantifying landscape change following catastrophic dam failures in Edenville and Sanford, Michigan, USA. Earth Surf. Process. Landforms, Available from: <a href="https://doi.org/10.1002/esp.5855" target="_blank" rel="noopener">https://doi.org/10.1002/esp.5855</a>.</p> <p>These data are released under the CCBY-NC-SA 4.0 license [https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en]. </p> <p>In plain language, it means that you should feel free to download these data and use or modify them for whatever purpose you wish, as long as you i) attribute us as original authors of the dataset, ii) do not use them for commercial purposes, and iii) use the same license for any derivative works you create using these data. </p> <p> </p> <p>For any questions or concerns, please don't hesitate to reach out to Harrison Martin at hkm@caltech.edu, or via https://harrison.studies.rocks.</p>
Figure 3 in Terrestrial invertebrates surviving San Ambrosio island's ecological catastrophe reinforce biogeographic affinities between the Juan Fernández and Desventuradas Islands
Figure 3. Land snail. Tornatellides (Ambrosiella) kuscheli (Achatinellidae) Endemic.
Supplementary Information for 'Catastrophic outburst floods along the middle Yarlung Tsangpo River: Responses to coupled fault and glacial activity on the southern Tibetan Plateau
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Pain Catastrophizing and Prescription Opioid Craving
ClinicalTrials.gov study NCT04097743. IPD Sharing: NO. Countries: 1. Publications: 0.
MBCT-T for Preoperative Pain Catastrophizing and Pain Outcomes After Spine Surgery
ClinicalTrials.gov study NCT05888025. IPD Sharing: YES. Countries: 1. Publications: 0.
Eculizumab to Enable Renal Transplantation in Patients With History of Catastrophic Antiphospholipid Antibody Syndrome
ClinicalTrials.gov study NCT01029587. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of Pain Catastrophizing
ClinicalTrials.gov study NCT03836586. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Catastrophic dynamics limit Atlantic cod recovery
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Datasets for: Resilience or Catastrophe? A possible state change for monarch butterflies in western North America
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Data from: Catastrophic health expenditure according to employment status in South Korea: A population-based panel study
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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)
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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.