cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/vqnxtbfbrgtadb-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C18H16N2O6S2/c1-3-25-17(23)11-13(21)19-15(27-11)9-6-5-7-10(8-9)16-20-14(22)12(28-16)18(24)26-4-2/h5-8,21-22H,3-4H2,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (300 MHz, DMSO-d6, ppm) δ = 12.25 (s, 2H), 8.49 (t, J = 1.68 Hz, 1H), 8.07 (dd, J = 7.82 Hz, J = 1.79 Hz, 2H), 7.67 (t, J = 7.83 Hz, 1H), 4.26 (q, J = 14.15 Hz, 4H), 1.28 (t, J= 7.07 Hz, 6H).
DOI: 10.5281/zenodo.5586297
title: Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient

description: These are the data with the accompanying R code used in the article "Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient", by Fisogni A, de Manincor N, Bertelsen CD, and Rafferty NE. We provide the raw data on flowering phenology, temperature and precipitation data in the study area, and overlap estimates used to evaluate temporal changes within and between elevations and their relationship with changing climatic variables. Data are .txt files with tab separated values. The raw dataset was created by C. David Bertelsen from field observations performed from 1984 to 2019 along a fixed transect in the Santa Catalina Mountains, Arizona, USA.
DOI: 10.5281/zenodo.5586296
title: Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient

description: These are the data with the accompanying R code used in the article "Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient", by Fisogni A, de Manincor N, Bertelsen CD, and Rafferty NE. We provide the raw data on flowering phenology, temperature and precipitation data in the study area, and overlap estimates used to evaluate temporal changes within and between elevations and their relationship with changing climatic variables. Data are .txt files with tab separated values. The raw dataset was created by C. David Bertelsen from field observations performed from 1984 to 2019 along a fixed transect in the Santa Catalina Mountains, Arizona, USA.
DOI: 10.5281/zenodo.1161235
title: Volcanic Lightning and Continual Radio Frequency Impulses at Sakurajima Volcano: A Multiparametric Dataset

description: This is a multiparametric data set of volcanic activity at Sakurajima volcano in Japan. The data set was collected in May and June 2015. The data set includes the following types of data: Lightning Mapping Array data, slow and fast electric field waveforms, log-RF VHF data, infrasound data, plume height, velocity, and temperature data.
DOI: 10.5281/zenodo.1161234
title: Volcanic Lightning and Continual Radio Frequency Impulses at Sakurajima Volcano: A Multiparametric Dataset

description: This is a multiparametric data set of volcanic activity at Sakurajima volcano in Japan. The data set was collected in May and June 2015. The data set includes the following types of data: Lightning Mapping Array data, slow and fast electric field waveforms, log-RF VHF data, infrasound data, plume height, velocity, and temperature data.
DOI: 10.5519/qd.szprk0j3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4924131 records)
DOI: 10.6084/m9.figshare.15015303
title: Bins_Vigneron_Mercury

description: Genomic bins with mercury cycling genes recovered from Etang de Berre and Salin du Lion microbial mats.
DOI: 10.6084/m9.figshare.15015303.v1
title: Bins_Vigneron_Mercury

description: Genomic bins with mercury cycling genes recovered from Etang de Berre and Salin du Lion microbial mats.
DOI: 10.5281/zenodo.5574601
title: Data for: Continuous API Evolution in Heterogenous Enterprise Software Systems

description: The ability to independently deploy parts of a software system is one of the cornerstones of modern software development, and allows for these parts to evolve independently and at different speeds. A major challenge of such independent deployment, however, is to ensure that despite their individual evolution, the interfaces between interacting parts remain compatible. This is especially important for enterprise software systems, which are often highly integrated and based on heterogenous IT infrastructures. Although several approaches for interface evolution have been proposed, many of these rely on the developer to adhere to certain rules, but provide little guidance for doing so. In this paper, we present an approach for interface evolution that is easy to use for developers, and also addresses typical challenges of heterogenous enterprise software, especially legacy system integration. This dataset contains the questions and results from the survey among developers to roughly assess the applicability of the approach in practice.
DOI: 10.5281/zenodo.5574600
title: Data for: Continuous API Evolution in Heterogenous Enterprise Software Systems

description: The ability to independently deploy parts of a software system is one of the cornerstones of modern software development, and allows for these parts to evolve independently and at different speeds. A major challenge of such independent deployment, however, is to ensure that despite their individual evolution, the interfaces between interacting parts remain compatible. This is especially important for enterprise software systems, which are often highly integrated and based on heterogenous IT infrastructures. Although several approaches for interface evolution have been proposed, many of these rely on the developer to adhere to certain rules, but provide little guidance for doing so. In this paper, we present an approach for interface evolution that is easy to use for developers, and also addresses typical challenges of heterogenous enterprise software, especially legacy system integration. This dataset contains the questions and results from the survey among developers to roughly assess the applicability of the approach in practice.
DOI: 10.5281/zenodo.5585987
title: Backport Dataset

description: The dataset contains backports (10P_backport_keywords.csv) and normal pull-requests (10P_normal_PRs). Can be used for binary classification.
DOI: 10.6084/m9.figshare.16834504
title: June 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in June, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16834504.v2
title: June 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in June, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16834504.v1
title: June 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in June, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.18739/a2nc5sd52
title: Arctic Observing Network (AON) Conductivity Temperature Depth (CTD) data from the 2018 Beaufort shelf-edge cruise (HLY1803), as part of the Monitoring the Western Arctic Boundary Current in a Warming Climate: Atmospheric Forcing and Oceanographic Response cruise.

description: This submission contains data collected as a part of the 2018 Beaufort shelf-edge research cruise titled Monitoring the Western Arctic Boundary Current in a Warming Climate: Atmospheric Forcing and Oceanographic Response, funded by National Science Foundation (NSF). This experiment was a multi-year field program, jointly sponsored by the National Science Foundation and Office of Naval Research, designed to investigate the manner in which the continental shelves communicate with the interior Arctic basin. This submission contains data from the 2018 research cruise, which has collected a consistent and detailed timeseries of physical oceanographic observations together with other expeditions beginning in 2002 until present. Funding for this long-term data collection has been supported by the NSF Arctic Observing Network.
DOI: 10.6084/m9.figshare.3761562.v2017
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5519/qd.ao23u17r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1697 records)
DOI: 10.5517/ccdc.csd.cc28czpb
title: CCDC 2096892: Experimental Crystal Structure Determination

description: Related Article: Ju Young Kang, Won An, Suho Kim, Na Yeon Kwon, Taejoo Jeong, Prithwish Ghosh, Hyung Sik Kim, Neeraj Kumar Mishra, In Su Kim|2021|Chem.Commun.|57|10947|doi:10.1039/D1CC04599G
DOI: 10.5517/ccdc.csd.cc28d1rh
title: CCDC 2096956: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d1sj
title: CCDC 2096957: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d1tk
title: CCDC 2096958: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d1vl
title: CCDC 2096959: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d1wm
title: CCDC 2096960: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d1xn
title: CCDC 2096961: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d1yp
title: CCDC 2096962: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d1zq
title: CCDC 2096963: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d20s
title: CCDC 2096964: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d21t
title: CCDC 2096965: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d22v
title: CCDC 2096966: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d23w
title: CCDC 2096967: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d24x
title: CCDC 2096968: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d25y
title: CCDC 2096969: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d26z
title: CCDC 2096970: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc28d270
title: CCDC 2096971: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
DOI: 10.5517/ccdc.csd.cc27qxb7
title: CCDC 2077599: Experimental Crystal Structure Determination

description: Related Article: A. Petrenko, N. Novikova, A. Blagov, A. Kulikov, Y. Pisarevskii, I. Verin, M. Kovalchuk|2021|J.Appl.Crystallogr.|54|1317|doi:10.1107/S1600576721007366
DOI: 10.5517/ccdc.csd.cc28d6zw
title: CCDC 2097118: Experimental Crystal Structure Determination

description: Related Article: Yuga Shibuya, Anna Toyoda, Shiori Ohmura, Go Higashikawa, Shinichi Koguchi|2021|RSC Advances|11|32837|doi:10.1039/D1RA06150J
DOI: 10.5517/ccdc.csd.cc28d70y
title: CCDC 2097119: Experimental Crystal Structure Determination

description: Related Article: Yuga Shibuya, Anna Toyoda, Shiori Ohmura, Go Higashikawa, Shinichi Koguchi|2021|RSC Advances|11|32837|doi:10.1039/D1RA06150J
DOI: 10.5517/ccdc.csd.cc28d71z
title: CCDC 2097120: Experimental Crystal Structure Determination

description: Related Article: Yuga Shibuya, Anna Toyoda, Shiori Ohmura, Go Higashikawa, Shinichi Koguchi|2021|RSC Advances|11|32837|doi:10.1039/D1RA06150J
DOI: 10.5517/ccdc.csd.cc28d720
title: CCDC 2097121: Experimental Crystal Structure Determination

description: Related Article: Yuga Shibuya, Anna Toyoda, Shiori Ohmura, Go Higashikawa, Shinichi Koguchi|2021|RSC Advances|11|32837|doi:10.1039/D1RA06150J
DOI: 10.5517/ccdc.csd.cc28d731
title: CCDC 2097122: Experimental Crystal Structure Determination

description: Related Article: Yuga Shibuya, Anna Toyoda, Shiori Ohmura, Go Higashikawa, Shinichi Koguchi|2021|RSC Advances|11|32837|doi:10.1039/D1RA06150J
DOI: 10.5517/ccdc.csd.cc28d742
title: CCDC 2097123: Experimental Crystal Structure Determination

description: Related Article: Yuga Shibuya, Anna Toyoda, Shiori Ohmura, Go Higashikawa, Shinichi Koguchi|2021|RSC Advances|11|32837|doi:10.1039/D1RA06150J
DOI: 10.5517/ccdc.csd.cc28d753
title: CCDC 2097124: Experimental Crystal Structure Determination

description: Related Article: Yuga Shibuya, Anna Toyoda, Shiori Ohmura, Go Higashikawa, Shinichi Koguchi|2021|RSC Advances|11|32837|doi:10.1039/D1RA06150J
DOI: 10.5517/ccdc.csd.cc28d933
title: CCDC 2097184: Experimental Crystal Structure Determination

description: Related Article: Lan-Chang Liang, Shu-Mei Liao, Xue-Ru Zou|2021|Inorg.Chem.|60|15118|doi:10.1021/acs.inorgchem.1c02494
DOI: 10.13012/b2idb-0938556_v1
title: Data from determining vegetation metric robustness to environmental and methodological variables

description: We studied vegetation metric robustness to environmental (season, interannual, and regional) and methodological (observer) variables, as well as adequate sample size for vegetation metrics across four regions of the United States.
DOI: 10.18739/a2hm52m0t
title: Arctic Observing Network (AON) Conductivity Temperature Depth (CTD) data from the 2009 Beaufort shelf-edge cruise (HLY09-04), as part of the Circulation, Cross-shelf Exchange, Sea Ice, and Marine Mammal Habitat on the Alaskan Beaufort Sea Shelf cruise.

description: This submission contains data collected as a part of the 2009 Beaufort shelf-edge research cruise, a component a National Ocean Partnership Program funded by National Science Foundation (NSF). This experiment was a multi-year field program, jointly sponsored by the National Science Foundation and Office of Naval Research, designed to investigate the manner in which the continental shelves communicate with the interior Arctic basin. This submission contains data from the 2009 research cruise, which has collected a consistent and detailed timeseries of physical oceanographic observations together with other expeditions beginning in 2002 until present. Funding for this long-term data collection has been supported by the NSF Arctic Observing Network.
DOI: 10.5281/zenodo.5586331
title: Pan-cancer analysis reveals unique molecular patterns associated with age

description: Datasets used in the study
DOI: 10.5281/zenodo.5586330
title: Pan-cancer analysis reveals unique molecular patterns associated with age

description: Datasets used in the study
DOI: 10.25345/c5sz8b
title: MassIVE MSV000088248 - Lactobacillus LGG Metabolomics
title: These data are LC-MS analyses of metabolite/lipid extracts of conditioned media from Lactobacillus LGG or Lactobacillus reuteri (all conditions in triplicate). Conditioned media had been filtered with a 3kDa filter, and a subset of LGG conditioned media was additionally boiled after filtering.
DOI: 10.6084/m9.figshare.16840429
title: ACCURACY ASSESSMENT OF ALOS WORLD 3D-30M DEMS USING FIELD DATA FROM LAGOS AND FEDERAL CAPITAL TERRITORY, NIGERIA

description: Elevation data set from AW3D30 DEM for two location within Nigeria:Lagos state and Abuja
DOI: 10.6084/m9.figshare.16840429.v1
title: ACCURACY ASSESSMENT OF ALOS WORLD 3D-30M DEMS USING FIELD DATA FROM LAGOS AND FEDERAL CAPITAL TERRITORY, NIGERIA

description: Elevation data set from AW3D30 DEM for two location within Nigeria:Lagos state and Abuja
DOI: 10.18739/a2cv4bs62
title: An Unmanned Aerial Vehicle Sampling Platform for Atmospheric Water Vapor Isotopes in Polar Environments Data Product for 2019 Field Campaign

description: This data set corresponds to the data product of the paper, "An Unmanned Aerial Vehicle Sampling Platform for Atmospheric Water Vapor Isotopes in Polar Environments" in Atmospheric Measurement Techniques. It comprises of isotope and weather measurements for four UAV flights over the Greenlandic Ice Sheet during the summer of 2019. Values listed are: time, location, temperature, humidity, pressure, 18O of water vapor, 2H of water vapor, and associated second order parameters. Methods and a detailed description of data products can be found in the aforementioned paper.
DOI: 10.18739/a2833n034
title: Arctic Observing Network (AON) Conductivity Temperature Depth (CTD) data from the 2010 Beaufort shelf-edge cruise (HLY1003), as part of the Circulation, Cross-shelf Exchange, Sea Ice, and Marine Mammal Habitat on the Alaskan Beaufort Sea Shelf cruise.

description: This submission contains data collected as a part of the 2010 Beaufort shelf-edge research cruise, a component a National Ocean Partnership Program funded by National Science Foundation (NSF). This experiment was a multi-year field program, jointly sponsored by the National Science Foundation and Office of Naval Research, designed to investigate the manner in which the continental shelves communicate with the interior Arctic basin. This submission contains data from the 2010 research cruise, which has collected a consistent and detailed timeseries of physical oceanographic observations together with other expeditions beginning in 2002 until present. Funding for this long-term data collection has been supported by the NSF Arctic Observing Network.
DOI: 10.5255/ukda-sn-855249
title: Interviews with Members of the Boards of Local Enterprise Partnerships and Related Stakeholders, 2019-2021

description: 51 interviews were conducted with Board members of Local Enterprise Partnerships and related stakeholders in 8 LEPs in England about their views about the role of LEPS, and policies on productivity, inclusivity and sustainability. They were asked about what devolution to regions might look like, some of the barriers to devolution and three potential barriers: accountability, skills policy, and the resources needed to run effective policy. Note: because the respondents would be easily identified from the transcripts, only the topic guide and the consent form have been deposited. No interview data is available.
DOI: 10.17863/cam.69080
title: Research data supporting "High-Aggregate-Capacity Guided-Wave Visible Light Communication Links"

description: Data supporting the ICTON 2016 invited presentation on Visible Light Communications.,This research data supports “High-Aggregate-Capacity Guided-Wave Visible Light Communication Links”.
description: This work was supported by the EPSRC [grant number EP/K00042X/1].