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- research data . 2021Open AccessAuthors:Proud, Simon;Persistent IdentifiersPublisher: ZenodoProject: UKRI | NCEO LTS-S (NE/R016518/1), UKRI | SatCAT: Using satellite d... (NE/R013144/1)
This dataset stores coefficients used by the updated Simplified Method for Atmospheric Correction - Python (SMACPy). The coefficients are used, together with meteorological data, to remove the effects of atmospheric gases and aerosols from a satellite image. Currently, ...
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You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Open Access EnglishAuthors:Pang, Yik Lung; Xompero, Alessio; Changjae Oh; Cavallaro, Andrea;Persistent IdentifiersPublisher: ZenodoProject: UKRI | CORSMAL: Collaborative ob... (EP/S031715/1)
This repository contains additional data to be used with the implementation of the real-to-simulation framework of the paper Towards safe human-to-robot handovers of unknown containers. The data include pre-trained models and annotations of the 3D hand poses for selecte...
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You have already added works in your ORCID record related to the merged research outcome. - research data . 2021 . Embargo End Date: 11 Aug 2021Authors:Benedek, Corinne; Willis, Ian;Persistent Identifiers
doi: 10.17863/cam.66094
Publisher: Apollo - University of Cambridge RepositoryCountry: United KingdomProject: NSF | The Polar Geospatial Info... (1043681), NSF | Automated, High Resolutio... (1542736), UKRI | NSFGEO-NERC: Ice-shelf In... (NE/T006234/1)Winter drainage of surface lakes from Sentinel-1 SAR imagery source code. This set of scripts is the code behind the analysis of winter lake drainage events in a study site in West Greenland during the winters of 2014/15, 2015/16 and 2016/17. The Google Earth Engine scr...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Open AccessAuthors:Wilkes, Phil; Vicari, Matheus Boni; Disney, Mathias;Persistent IdentifiersPublisher: ZenodoProject: UKRI | Understanding tree archit... (NE/P011780/1), ANR | TULIP (ANR-10-LABX-0041), EC | BACI (640176), UKRI | Weighing trees with laser... (NE/N00373X/1), UKRI | GREENHOUSE: Generating Re... (NE/K002554/1), AKA | The effects of stand dyna... (315079)
Terrestrial LiDAR data collected by the team at University College London.This is Version 2 containing data processed into 10 m x 10 m tiles, this has also been filtered to remove high "deviation" points.Data is in .ply format containing xyz fields as well as reflectanc...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Open Access EnglishAuthors:Pavlovic, Dejan; Christopher Davison; Andrew Hamilton; Oskar Marko; Robert Atkinson; Craig Michie; Vladimir Crnojevic; Ivan Andonovic; Xavier Bellekens; Tachtatzis, Christos;Persistent IdentifiersPublisher: ZenodoProject: EC | DRAGON (810775), UKRI | PrecisionBeef (BB/M027333/1)
The data set contains sensor data for three cattle behaviours, (Eating, Rumination and Other). In particular, it contains 18 animals over three farm trials in the Easter Howgate Farm, Edinburgh, UK. Each animal is assigned a unique identifier XX in the range 01-18 and i...
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You have already added works in your ORCID record related to the merged research outcome. - research data . 2021Open Access EnglishAuthors:Bradbury, Matthew; Jhumka, Arshad; Watson, Tim; Flores, Denys; Burton, Jonathan; Butler, Matthew;Persistent IdentifiersPublisher: ZenodoProject: UKRI | PETRAS 2 (EP/S035362/1)
Dataset for Threat Modelling Guided Trust-based Task Offloading in Resource-constrained Internet of Things Systems
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You have already added works in your ORCID record related to the merged research outcome. - research data . 2020Open Access EnglishAuthors:Francis, Alistair; Mrziglod, John; Sidiropoulos, Panagiotis; Muller, Jan-Peter;Persistent IdentifiersPublisher: ZenodoProject: UKRI | Data mining for surface c... (1912521)
Overview This dataset comprises cloud masks for 513 1022-by-1022 pixel subscenes, at 20m resolution, sampled random from the 2018 Level-1C Sentinel-2 archive. The design of this dataset follows from some observations about cloud masking: (i) performance over an entire p...
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You have already added works in your ORCID record related to the merged research outcome. - research data . Image . 2020Authors:McCrorie, Paul; Mitchell, Rich; Macdonald, Laura; Jones, Andrew; Coombes, Emma; Schipperijn, Jasper; Ellaway, Anne;Persistent IdentifiersPublisher: figshareProject: UKRI | Neighbourhoods and Commun... (MC_UU_12017/10)
Additional file 2. Adjusted mean outcomes for all days combined (Top), weekdays (Middle), and weekend days (Bottom) comparing Large Urban vs. Remote Rural categories.
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You have already added works in your ORCID record related to the merged research outcome. - research data . 2020EnglishAuthors:Xompero, Alessio; Sanchez-Matilla, Ricardo; Mazzon, Riccardo; Cavallaro, Andrea;Persistent Identifiers
doi: 10.17636/101corsmal1
Publisher: Queen Mary University of LondonProject: UKRI | CORSMAL: Collaborative ob... (EP/S031715/1)Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome. - research data . 2019 . Embargo End Date: 25 Jul 2019Authors:Chatzidiakou, Evangelia; Krause, Anika; Popoola, Olalekan; Di Antonio, A; Kellaway, M; Han, Y; Squires, FA; Wang, T; Zhang, H; Wang, Q; ...Persistent Identifiers
doi: 10.17863/cam.41918
Publisher: Apollo - University of Cambridge RepositoryCountry: United KingdomProject: UKRI | Effects of Air Pollution ... (NE/N007085/1), UKRI | Effects of air pollution ... (NE/N007018/1), UKRI | COPE: Characterisation of... (MR/L019744/1)Measurements of air pollution collected with novel sensing technologies that now offer the potential to monitor detailed personal exposure during daily life at population scale, thanks to their significantly reduced cost, smaller size and fast-response: This data was co...
Add to ORCID Please grant OpenAIRE to access and update your ORCID works.This research outcome is the result of merged research outcomes in OpenAIRE.
You have already added works in your ORCID record related to the merged research outcome.