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AbstractLarge datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.
Disk formatting, Materialkemi, 005: Computerprogrammierung, Programme und Daten, ACCESS Database, Data science, 621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik, Engineering, Materials Chemistry, Applications of Quantum Dots in Nanotechnology, Photovoltaic system, 40 Engineering, info:eu-repo/classification/ddc/330, Computer graphics (images), Sorting, ddc:530, 4017 Mechanical Engineering, Programming language, World Wide Web, Networking and Information Technology R&D (NITRD), Solar Cell Efficiency, Physical Sciences, Graphics, Photovoltaics and Wind Energy, 4008 Electrical Engineering, ddc:620, Other Engineering and Technologies, Thin-Film Solar Cells, Analysis Tools, Perovskite Solar Cell Technology, Materials Science, Photovoltaic Cells, Bioengineering, Database, Field (mathematics), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Annan teknik, Electrical and Electronic Engineering, Engineering & allied operations, :Materials [Engineering], Data Science, Pure mathematics, Institut für Physik und Astronomie, Computer science, 620, Solar Cells, Thin-Film Solar Cell Technology, Operating system, Electrical engineering, Networking and Information Technology R&D (NITRD), Perovskite Solar Cells, info:eu-repo/classification/ddc/620, Mathematics
Disk formatting, Materialkemi, 005: Computerprogrammierung, Programme und Daten, ACCESS Database, Data science, 621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik, Engineering, Materials Chemistry, Applications of Quantum Dots in Nanotechnology, Photovoltaic system, 40 Engineering, info:eu-repo/classification/ddc/330, Computer graphics (images), Sorting, ddc:530, 4017 Mechanical Engineering, Programming language, World Wide Web, Networking and Information Technology R&D (NITRD), Solar Cell Efficiency, Physical Sciences, Graphics, Photovoltaics and Wind Energy, 4008 Electrical Engineering, ddc:620, Other Engineering and Technologies, Thin-Film Solar Cells, Analysis Tools, Perovskite Solar Cell Technology, Materials Science, Photovoltaic Cells, Bioengineering, Database, Field (mathematics), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Annan teknik, Electrical and Electronic Engineering, Engineering & allied operations, :Materials [Engineering], Data Science, Pure mathematics, Institut für Physik und Astronomie, Computer science, 620, Solar Cells, Thin-Film Solar Cell Technology, Operating system, Electrical engineering, Networking and Information Technology R&D (NITRD), Perovskite Solar Cells, info:eu-repo/classification/ddc/620, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 295 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
| views | 53 | |
| downloads | 55 |

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