{"id":20046746,"url":"https://github.com/deepmatterltd/dm_nortcliffe","last_synced_at":"2025-03-02T08:14:49.521Z","repository":{"id":106695901,"uuid":"419000087","full_name":"deepmatterltd/dm_nortcliffe","owner":"deepmatterltd","description":"Recipe and runtime data for the paper \"Data led synthesis: an inquiry based-learning project in reaction optimization with DigitalGlassware®\", Nortcliffe et al, 2022.","archived":false,"fork":false,"pushed_at":"2022-01-17T16:03:24.000Z","size":37,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-01-12T20:26:12.677Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/deepmatterltd.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-10-19T16:13:09.000Z","updated_at":"2023-04-27T13:48:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"a0f1c576-7c6d-45cc-b9f6-13e25529ab51","html_url":"https://github.com/deepmatterltd/dm_nortcliffe","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepmatterltd%2Fdm_nortcliffe","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepmatterltd%2Fdm_nortcliffe/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepmatterltd%2Fdm_nortcliffe/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepmatterltd%2Fdm_nortcliffe/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/deepmatterltd","download_url":"https://codeload.github.com/deepmatterltd/dm_nortcliffe/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241476458,"owners_count":19968916,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-13T11:29:05.489Z","updated_at":"2025-03-02T08:14:49.478Z","avatar_url":"https://github.com/deepmatterltd.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# dm_nortcliffe\n\nThis repo contains recipe and runtime data for the paper \"Data led synthesis: an inquiry based-learning project in reaction optimization with DigitalGlassware®\", Nortcliffe et al, 2022.\n\nAll data was captured by [Deepmatter's DigitalGlassware®](https://deepmatter.io/) platform.\n\n# Data\n\n## Mappings\n\nSee the document `run_mappings.csv` in the root directory of this repo as a map of which groups performed each run.\n\n### Sensor Data\n\nEach PCRR document embeds all sensor data associated with a run. Information on mapping DeviceX's sensor names to human-readable equivalents can be found in the `devicex_mappings.csv` document. As a simple rule, any sensor ending with \"I\", \"E\", or \"A\" corresponds to the sensor being below the meniscus (_immersed_), above the fill level (_exposed_) or in the handle of DeviceX (_ambient_). All sensor data collected has been reported, but only some represent high level sensors user will be familiar with (e.e. temperature of solution). The CSV indicates which are these \"primary\" sensors.\n\n## PCML\n\nThe Practical Chemistry Markup Language (PCML) is an XML document which represents the chemical recipe which a user has developed in DigitalGlassware®. It contains all chemicals,\noperations and metadata associated with a recipe *prior* to execution.\n\nSee the `pcml` directory for all recipes generated during the project, where each filename is the associated run ID. Note that there will be duplicates of recipes here, such as \nthe same recipe for the first phase of work all being taken from the same root recipe. This structure has been used for convenience of mapping to the various run records \nencoded in the PCRR.\n\n## PCRR\n\nThe Practical Chemistry Runtime Records (PCRR) is another XML document which contains all data associated with a chemistry experiement, during and after it has been executed. All \naspects of the executed run are embedded (including the original PCML associated with the recipe), the start and end time of each executed operation, final run purities and yields\n(if relevant), all sensor data from connected devices, and other metadata.\n\nSee the `pcrr` directory for the 23 individual runs performed, where filename is the run record ID.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepmatterltd%2Fdm_nortcliffe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeepmatterltd%2Fdm_nortcliffe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepmatterltd%2Fdm_nortcliffe/lists"}