cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2254716
title: Development, Training, Education, and Implementation of Low-Cost Sensing Technologies for Bridge Structural Health Monitoring (SHM)

description: Corresponding data set for Tran-SET Project No. 17STUNM02. Abstract of the final report is stated below for reference: "Transportation infrastructure needs continuous monitoring. However, traditional inspections cost money and are conducted visually. New technologies for bridge monitoring are expensive and complex. This project involved developing cost-effective sensor technologies that can be applied towards the maintenance of railroad bridges by recording reference-free transverse displacement. More specifically, this project developed new applications of new technologies (Arduino, wireless smart sensors, drones, Hololens) and promoted workforce development with an emphasis on outreach of high-school students. This project was carried out in three main phases: (1) development and validation of technologies, (2) education and outreach to students, and (3) outreach to industry consisting in one professional workshop. The findings from the first phase showed that the data gathered by these new low-cost sensing systems were comparable to the data collected using traditional sensors. Researchers collected the findings of the second phase of the project through surveys conducted from Middle school, High school and college students during and after outreach activities. these surveys showed that many of the participant students got more interested in the use of new technologies after getting familiar with them. Finally, researchers collected the findings of the third phase of the project through a workshop collecting the interest and challenges of the owners of railroad infrastructure. The top interest of railroad owners is to explore the use of new technologies to increase safety in the field. The conclusions of this research include prioritization on developing low-cost technologies that can measure simple parameters in the field of interest to existing inspectors."
description: Tran-SET Project No. 17STUNM02
DOI: 10.5281/zenodo.2233638
title: Bridge Inspecting with Unmanned Aerial Vehicles R&D

description: Corresponding data set for Tran-SET Project No. 17STLSU11. Abstract of the final report is stated below for reference: "The project achieves through research including literature, on site interviews, and experimentation: 1) a recommendation for a UAV-based system to practically assist in routine bridge inspection work in the State of Louisiana, 2) the identification and description of advantages, disadvantages, and limitations in the use of UAVs for routing bridge inspection work in Louisiana, and 3) provided recommendations for future work. The Yuneec H520 aircraft and its E90 camera are recommended, as is the need for a boat to be included as part of the system. The recommended system has advantages in reaching portions of the bridge that are difficult to reach by human inspectors and includes sufficient image resolution to assist the bridge inspection process. A disadvantage though, is that of the overburden of regulations both from the FAA and for getting permission to inspect a bridge using a UAV. These regulations my render negligible, any gains in efficiency perceived in the use of UAVs for bridge inspection. Also, the UAV is described by the project as an assistance tool for the manual bridge inspection process and cannot replace the needed work of bridge inspectors, as it has limitations. For example, the UAV cannot perform inspections beneath the bridge deck since it may lose its GPS navigation reference. Likewise, it cannot see beneath the surface to tell of concrete components have subsurface cracks or timbers might be hollow. These tests are still the domain of manual bridge inspection. The project provided recommendations with respect to changes in how inspections should be done using the UAV, i.e. in the pre-inspection phase, needed field studies using the UAV, needed economics alternative-tradeoffs studies, and recommendations for augmenting the aircraft and its instruments. The Second phase, i.e. the Implementation Phase, will utilize the information and educational fruits of the technical research phase for tutorials, seminars and to facilitate feedback surveys with engineering firms, the LADOTD, engineering societies, and students."
description: Tran-SET Project No. 17STLSU11
DOI: 10.5281/zenodo.2233639
title: Bridge Inspecting with Unmanned Aerial Vehicles R&D

description: Corresponding data set for Tran-SET Project No. 17STLSU11. Abstract of the final report is stated below for reference: "The project achieves through research including literature, on site interviews, and experimentation: 1) a recommendation for a UAV-based system to practically assist in routine bridge inspection work in the State of Louisiana, 2) the identification and description of advantages, disadvantages, and limitations in the use of UAVs for routing bridge inspection work in Louisiana, and 3) provided recommendations for future work. The Yuneec H520 aircraft and its E90 camera are recommended, as is the need for a boat to be included as part of the system. The recommended system has advantages in reaching portions of the bridge that are difficult to reach by human inspectors and includes sufficient image resolution to assist the bridge inspection process. A disadvantage though, is that of the overburden of regulations both from the FAA and for getting permission to inspect a bridge using a UAV. These regulations my render negligible, any gains in efficiency perceived in the use of UAVs for bridge inspection. Also, the UAV is described by the project as an assistance tool for the manual bridge inspection process and cannot replace the needed work of bridge inspectors, as it has limitations. For example, the UAV cannot perform inspections beneath the bridge deck since it may lose its GPS navigation reference. Likewise, it cannot see beneath the surface to tell of concrete components have subsurface cracks or timbers might be hollow. These tests are still the domain of manual bridge inspection. The project provided recommendations with respect to changes in how inspections should be done using the UAV, i.e. in the pre-inspection phase, needed field studies using the UAV, needed economics alternative-tradeoffs studies, and recommendations for augmenting the aircraft and its instruments. The Second phase, i.e. the Implementation Phase, will utilize the information and educational fruits of the technical research phase for tutorials, seminars and to facilitate feedback surveys with engineering firms, the LADOTD, engineering societies, and students."
description: Tran-SET Project No. 17STLSU11
DOI: 10.14469/hpc/4882
title: 2425s

description: NMR kinetic analysis for T=2425s
DOI: 10.14469/hpc/4884
title: 3nd'

description: Crystallographic data for triazoline 3nd'
DOI: 10.14469/hpc/4885
title: 2851s

description: NMR Kinetic data for T=2851s
DOI: 10.14469/hpc/4886
title: 3337s

description: NMR Kinetic data for T=3337s
DOI: 10.14469/hpc/4887
title: 3883s

description: NMR Kinetic data for T=3883s
DOI: 10.14469/hpc/4888
title: 4489s

description: NMR Kinetic data for T=4489s
DOI: 10.14469/hpc/4890
title: 5880s

description: NMR kinetic data for T=5880s
DOI: 10.14469/hpc/4891
title: 6666s

description: NMR Kinetic data for T=6666s
DOI: 10.14469/hpc/4893
title: E-8nd

description: Crystallographic data for enaminone E-8nd
DOI: 10.5523/bris.2wb2ynwg3g1kp2umdbmahttvvm
title: Designing health care for the people who need it
title: RCGP James Mackenzie lecture 2018

description: Full text of James Mackenzie given at RCGP London 23/11/18
DOI: 10.14469/hpc/4889
title: 5154s

description: NMR Kinetic data for T=5154s
DOI: 10.14469/hpc/4892
title: 6nb

description: Crystallographic data for pyrazoline 6nb
DOI: 10.14469/hpc/4894
title: 7512s

description: NMR Kinetic data for T=7512s
DOI: 10.14469/hpc/4895
title: 8418s

description: NMR Kinetic data for T=8418s
DOI: 10.14469/hpc/4896
title: 9322s

description: NMR Kinetic data for T=9322s
DOI: 10.5281/zenodo.2277381
title: Global-scale characterization of turning points in arid and semi-arid ecosystem functioning

description: Data accompanying the paper: Bernardino, P., De Keersmaecker, W., Fensholt, R., Verbesselt, J., Somers, B. and Horion, S. 2020. Global-scale characterization of turning points in arid and semi-arid ecosystem functioning.
DOI: 10.13012/b2idb-7323993_v1
title: ARL IR Metadata Documentation Website Review Data

description: Spreadsheet with data about whether or not the indicated institutional repository website provides metadata documentation. See readme file for more information.
DOI: 10.5063/f1mp51hz
title: Northern red oak acorn dispersal and survival in a Southern Indiana forest managed with prescribed fire and group shelterwood harvests

description: Data from an experiment conducted in an oak-hickory forest in Southern Indiana assessing how prescribed fire and location within or around small group shelterwood harvests affected dispersal and survival of acorns presented on the forest floor. These data were collected to assess how management aimed at promoting oak regeneration affected acorn-rodent interactions.
DOI: 10.5063/f1rf5s8r
title: Northern red oak acorn cache pilferage in a Southern Indiana forest managed with prescribed fire and group shelterwood harvests

description: Data from an experiment conducted in an oak-hickory forest in Southern Indiana assessing how prescribed fire and location within or around small group shelterwood harvests affected acorn cache pilferage rates from caches that mimic squirrel scatterhoards. These data were collected to assess how management aimed at promoting oak regeneration affected acorn-rodent interactions.
DOI: 10.14469/hpc/4897
title: 3Br2 + 2,4,6-tributylbenzene in CCl4, loss of tBu Product II, ÎG = -16149.154217

description: Gaussian Calculation
DOI: 10.14469/hpc/4898
title: 3Br2 + 2,4,6-tributylbenzene in CCl4, loss of tBu Product II, Ion-pair precursor , ÎG = -16149.141220

description: Gaussian Calculation
DOI: 10.7910/dvn/n1klnv/0qmlas
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DOI: 10.7910/dvn/n1klnv/72ei5a
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DOI: 10.7910/dvn/n1klnv/byfmfc
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DOI: 10.7910/dvn/n1klnv/fb0ghj
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DOI: 10.7910/dvn/n1klnv/fcuupe
title: breadcrumb.wav

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DOI: 10.7910/dvn/n1klnv/fljk4c
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DOI: 10.7910/dvn/n1klnv/fzqbja
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DOI: 10.7910/dvn/n1klnv/gag9kp
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DOI: 10.7910/dvn/n1klnv/je88tb
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