1,354,286 research outputs found
Northam railway bridge, an unusual bridge in southampton
No full textNortham Bridge in Southampton dates from 1908. It has an unusual layout, with one main girder on one side and two on the other. Its structure is also unusual, consisting of twin lattice girder webs with members of varying size. The history of the bridge in the context of the London and South Western Railway is presented together with a detailed breakdown of its structure. A finite element analysis of the structure was carried out to examine the load path through the highly redundant web. The structural response was compared with the behaviour of a simple truss and a plate girder. It was shown that the bridge is generally sound even for 40 t vehicle loading, although the deck supports give some cause for concern
Dark ice dynamics of the south-west Greenland Ice Sheet, 2000-2016
No full textMetrics of dark ice extent and duration, and snowline retreat estimates, for the south-west ablation zone of the Greenland Ice Sheet, derived from MODIS satellite imagery. These metrics are provided on a ~613 m grid at annual resolution and cover the melt season, defined as June-July-August each year. All scripts used to generate the metrics are also provided, as well as the scripts which generate the plots found in Tedstone et al. (2017, The Cryosphere)
Assessing food security and nutritional well-being of pre-school refugee children in the UK.
No full text
Proglacial river discharge from the Greenland Ice Sheet measured in spring/summer 2012
No full textProglacial river discharge was monitored using stage measurements (collected by a HOBO pressure sensor) and dye dilution gauging at a stable bedrock section near the terminus of Leverett Glacier, 67.09N -50.23E. Here we report hourly means of measurements made at 1 minute intervals. The same method has been used at this site over several melt seasons and is described in detail by Bartholomew et al. (2011, http://dx.doi.org/10.1029/2011GL047063) and Tedstone et al. (2013, http://dx.doi.org/10.1073/pnas.1315843110)
Data: Constraining the Minimum Ice Slab Thickness which Enables Surface Runoff on the Greenland Ice Sheet
No full textData repository associated with the manuscript 'Constraining the Minimum Ice Slab Thickness which Enables Surface Runoff on the Greenland Ice Sheet', Nicolas Jullien, Andrew J. Tedstone, Horst Machguth, (submitted to the Journal of Glaciology) Introduction: We provide a short description of each file present in this data repository, and flag to the corresponding reference when applicable. Please cite the appropriate references when using these data. Data: In this repository: 'Ice_Layer_Output_Thicknesses_Likelihood_2010_2018_jullienetal2021_modified.csv'. Modified 2010-2018 ice slabs thickness retrievals from Jullien et al., (2023) where ice slabs thickness > 16 m thick and < 1 m thick are retained, and flight-lines not holding ice slab were set to hold an ice content of 0 m thick. 'IceSlabsHighEnd_20172018.zip'. High end ice slabs extent in 2017-2018. This corresponds to the corrected 2010-2018 high end ice slabs extent using OIB AR flight-lines in 2017-2018. 'master_maps.zip'. Raster files. Surface hydrology connectivity map over the Greeland Ice sheet, first presented in Tedstone and Machguth (2022). The easiest way to handle this dataset is to use the 'master_map_GrIS_mean.vrt' file. 'RunoffLimits.zip'. '.csv' files. Maximum visible runoff limits in 2012 and 2019, sorted for each boxes generated by Tedstone and Machguth (2022). Each '.csv' file stores the data points coordinates (Geographical Reference System: WGS 84 / NSIDC Sea Ice Polar Stereographic North (EPSG:3413)) of the maximum visible runoff limit retrievals after filtering out the outliers. The maximum visible runoff limits where first presented in Tedstone and Machguth (2022). Used in this study but from other datasets: The ice slabs extent and ice slabs thickness were first presented in Jullien et al., (2023), and are accessible at: https://zenodo.org/records/7505426 The radargrams displayed in Fig. 5c-f were first presented in Jullien et al., (2023), and are accessible at: https://zenodo.org/records/7505426. The following files were used: 'L1_may12_03_1_aggregated.pickle' 'L1_may12_03_2_aggregated.pickle' '20100508_01_114_115_Depth_CORRECTED.pickle' '20140424_01_002_004_Depth_CORRECTED.pickle' '20180427_01_170_172_Depth_CORRECTED.pickle' The surface topography present in Fig. 5g are 10 m resolution mosaics from the ArcticDEMv3 (Porter et al., 2018), and accessible at: https://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/mosaic/v3.0/ The winter time strain rates map displayed in Fig. 5h were first presented in Poinar and Andrews (2021), and are accessible at: https://ubir.buffalo.edu/xmlui/handle/10477/82127 References: Jullien, N., Tedstone, A. J., Machguth, H., Karlsson, N. B., & Helm, V. (2023). Greenland Ice Sheet Ice Slab Expansion and Thickening. Geophysical Research Letters, 50(10), e2022GL100911. https://doi.org/10.1029/2022GL100911 Poinar, K., & Andrews, L. C. (2021). Challenges in predicting Greenland supraglacial lake drainages at the regional scale. The Cryosphere, 15(3), 1455–1483. https://doi.org/10.5194/tc-15-1455-2021 Porter, C., Morin, P., Howat, I., Noh, M.-J., Bates, B., Peterman, K., Keesey, S., Schlenk, M., Gardiner, J., Tomko, K., Willis, M., Kelleher, C., Cloutier, M., Husby, E., Foga, S., Nakamura, H., Platson, M., Wethington, M., Jr., Williamson, C., … Bojesen, M. (2018). ArcticDEM, Version 3 (Version V1) [dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/OHHUKH Tedstone, A. J., & Machguth, H. (2022). Increasing surface runoff from Greenland’s firn areas. Nature Climate Change. https://doi.org/10.1038/s41558-022-01371-
Data: Ice slabs thickening drives surface runoff expansion from the Greenland Ice Sheet's percolation zone
No full textData repository associated with the manuscript 'Ice slabs thickening drives surface runoff expansion from the Greenland Ice Sheet's percolation zone', Nicolas Jullien, Andrew J. Tedstone, Horst Machguth, (submitted to Nature Communications) Introduction: We provide a short description of each file present in this data repository, and flag to the corresponding reference when applicable. Please cite the appropriate references when using these data. Data: In this repository: 'master_maps.zip'. Raster files. Surface hydrology connectivity map over the Greeland Ice sheet, first presented in Tedstone and Machguth (2022). The easiest way to handle this dataset is to use the 'master_map_GrIS_mean.vrt' file. 'AreasSupportingRunoff.zip'. Raster files. Shows the areas supporting runoff mapped from 2017-2018 composite winter Sentinel-1 Synthethetic Aperture Radar at C-band using the Horizontal-Vertical polarisation backscatter. 'RunoffLimits.zip'. '.csv' files. Maximum visible runoff limits in 2012 and 2019, sorted for each boxes generated by Tedstone and Machguth (2022). Each '.csv' file stores the data points coordinates (Geographical Reference System: WGS 84 / NSIDC Sea Ice Polar Stereographic North (EPSG:3413)) of the maximum visible runoff limit retrievals after filtering out the outliers. The maximum visible runoff limits where first presented in Tedstone and Machguth (2022). Used in this study but from other datasets: The ice slabs extent and ice slabs thickness were first presented in Jullien et al., (2023), and are accessible at: https://zenodo.org/records/7505426 The radargrams displayed in Fig. 6c-f were first presented in Jullien et al., (2023), and are accessible at: https://zenodo.org/records/7505426. The following files were used: 'L1_may12_03_1_aggregated.pickle' 'L1_may12_03_2_aggregated.pickle' '20100508_01_114_115_Depth_CORRECTED.pickle' '20140424_01_002_004_Depth_CORRECTED.pickle' '20180427_01_170_172_Depth_CORRECTED.pickle' The surface topography present in Fig. 6g are 10 m resolution mosaics from the ArcticDEMv3 (Porter et al., 2018), and accessible at: https://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/mosaic/v3.0/ The winter time strain rates map displayed in Fig. 6h were first presented in Poinar and Andrews (2021), and are accessible at: https://ubir.buffalo.edu/xmlui/handle/10477/82127 References: Jullien, N., Tedstone, A. J., Machguth, H., Karlsson, N. B., & Helm, V. (2023). Greenland Ice Sheet Ice Slab Expansion and Thickening. Geophysical Research Letters, 50(10), e2022GL100911. https://doi.org/10.1029/2022GL100911 Poinar, K., & Andrews, L. C. (2021). Challenges in predicting Greenland supraglacial lake drainages at the regional scale. The Cryosphere, 15(3), 1455–1483. https://doi.org/10.5194/tc-15-1455-2021 Porter, C., Morin, P., Howat, I., Noh, M.-J., Bates, B., Peterman, K., Keesey, S., Schlenk, M., Gardiner, J., Tomko, K., Willis, M., Kelleher, C., Cloutier, M., Husby, E., Foga, S., Nakamura, H., Platson, M., Wethington, M., Jr., Williamson, C., … Bojesen, M. (2018). ArcticDEM, Version 3 (Version V1) [dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/OHHUKH Tedstone, A. J., & Machguth, H. (2022). Increasing surface runoff from Greenland’s firn areas. Nature Climate Change. https://doi.org/10.1038/s41558-022-01371-
Data: Constraining Ice Slab Thickness at the Onset of Visible Surface Runoff from the Greenland Ice Sheet
No full textData repository associated with the manuscript 'Constraining Ice Slab Thickness at the Onset of Visible Surface Runoff from the Greenland Ice Sheet', Nicolas Jullien, Andrew J. Tedstone, Horst Machguth, (under review in the Journal of Glaciology) Introduction: We provide a short description of each file present in this data repository, and flag to the corresponding reference when applicable. Please cite the appropriate references when using these data. Data: In this repository: 'Ice_Layer_Output_Thicknesses_Likelihood_2010_2018_jullienetal2021_modified.csv'. Modified 2010-2018 ice slabs thickness retrievals from Jullien et al., (2023) where ice slabs thickness > 16 m thick and < 1 m thick are retained, and flight-lines not holding ice slab were set to hold an ice content of 0 m thick. 'master_maps.zip'. Raster files. Surface hydrology connectivity map over the Greeland Ice sheet, first presented in Tedstone and Machguth (2022). The easiest way to handle this dataset is to use the 'master_map_GrIS_mean.vrt' file. 'MARv.3.14_MoA_2000_2012.nc'. Melt over accumulation from 2000 to 2012 extracted from MARv3.14. See file 'melt_over_accumulation_calculations.py' in the code repository for post processing analysis. 'RunoffLimits.zip'. '.csv' files. Maximum visible runoff limits in 2012 and 2019, sorted for each boxes generated by Tedstone and Machguth (2022). Each '.csv' file stores the data points coordinates (Geographical Reference System: WGS 84 / NSIDC Sea Ice Polar Stereographic North (EPSG:3413)) of the maximum visible runoff limit retrievals after filtering out the outliers. The maximum visible runoff limits where first presented in Tedstone and Machguth (2022). Used in this study but from other datasets: The ice slabs extent and ice slabs thickness were first presented in Jullien et al., (2023), and are accessible at: https://zenodo.org/records/7505426 The radargrams displayed in Fig. 5c-f were first presented in Jullien et al., (2023), and are accessible at: https://zenodo.org/records/7505426. The following files were used: 'L1_may12_03_1_aggregated.pickle' 'L1_may12_03_2_aggregated.pickle' '20100508_01_114_115_Depth_CORRECTED.pickle' '20140424_01_002_004_Depth_CORRECTED.pickle' '20180427_01_170_172_Depth_CORRECTED.pickle' The surface topography present in Fig. 5g are 10 m resolution mosaics from the ArcticDEMv3 (Porter et al., 2018), and accessible at: https://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/mosaic/v3.0/ The winter time strain rates map displayed in Fig. 5h were first presented in Poinar and Andrews (2021), and are accessible at: https://ubir.buffalo.edu/xmlui/handle/10477/82127 References: Jullien, N., Tedstone, A. J., Machguth, H., Karlsson, N. B., & Helm, V. (2023). Greenland Ice Sheet Ice Slab Expansion and Thickening. Geophysical Research Letters, 50(10), e2022GL100911. https://doi.org/10.1029/2022GL100911 Poinar, K., & Andrews, L. C. (2021). Challenges in predicting Greenland supraglacial lake drainages at the regional scale. The Cryosphere, 15(3), 1455–1483. https://doi.org/10.5194/tc-15-1455-2021 Porter, C., Morin, P., Howat, I., Noh, M.-J., Bates, B., Peterman, K., Keesey, S., Schlenk, M., Gardiner, J., Tomko, K., Willis, M., Kelleher, C., Cloutier, M., Husby, E., Foga, S., Nakamura, H., Platson, M., Wethington, M., Jr., Williamson, C., … Bojesen, M. (2018). ArcticDEM, Version 3 (Version V1) [dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/OHHUKH Tedstone, A. J., & Machguth, H. (2022). Increasing surface runoff from Greenland’s firn areas. Nature Climate Change. https://doi.org/10.1038/s41558-022-01371-
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Extending breastfeeding duration through primary care: a systematic review of prenatal and postnatal interventions.
No full textThis literature review provides an overview of the effectiveness of strategies and procedures used to extend breastfeeding duration. Interventions carried out during pregnancy and/or infant care conducted in primary health care services, community settings, or hospital clinics were included. Interventions covering only the delivery period were excluded. Interventions that were most effective in extending the duration of breastfeeding generally combined information, guidance, and support and were long term and intensive. During prenatal care, group education was the only effective strategy reported. Home visits used to identify mothers' concerns with breastfeeding, assist with problem solving, and involve family members in breastfeeding support were effective during the postnatal period or both periods. Individual education sessions were also effective in these periods, as was the combination of 2 or 3 of these strategies in interventions involving both periods. Strategies that had no effect were characterized by no face-to-face interaction, practices contradicting messages, or small-scale interventions
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