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  "Version": "0.3.2",
  "Title": "Core Functionality for Environmental Time Series",
  "Authors@R": "c(\nperson(\"Jonathan\", \"Callahan\", email=\"jonathan.s.callahan@gmail.com\", role=c(\"aut\",\"cre\")),\nperson(\"Hans\", \"Martin\", email=\"hansmrtn@gmail.com\", role=c(\"ctb\")),\nperson(\"Eli\", \"Grosman\", email=\"eligrosman1@gmail.com\", role=c(\"ctb\")),\nperson(\"Roger\", \"Bivand\", email=\"roger.bivand@nhh.no\", role=c(\"ctb\")),\nperson(\"Sebastian\", \"Luque\", email = \"spluque@gmail.com\", role=c(\"ctb\"))\n)",
  "Maintainer": "Jonathan Callahan <jonathan.s.callahan@gmail.com>",
  "Description": "Utility functions for working with environmental time\nseries data from known locations. The compact data model is\nstructured as a list with two dataframes. A 'meta' dataframe\ncontains spatial and measuring device metadata associated with\ndeployments at known locations. A 'data' dataframe contains a\n'datetime' column followed by columns of measurements\nassociated with each \"device-deployment\". Ephemerides\ncalculations are based on code originally found in NOAA's\n\"Solar Calculator\" <https://gml.noaa.gov/grad/solcalc/>.",
  "License": "GPL-3",
  "URL": "https://github.com/MazamaScience/MazamaTimeSeries,\nhttps://mazamascience.github.io/MazamaTimeSeries/",
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  "Date/Publication": "2026-07-09 00:54:13 UTC",
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  "Author": "Jonathan Callahan [aut, cre],\nHans Martin [ctb],\nEli Grosman [ctb],\nRoger Bivand [ctb],\nSebastian Luque [ctb]",
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    "description": "Associate Research Faculty - Desert Research Institute; President - Mazama Science",
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  "_topics": [
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    "description": "SEE YOUR DATA"
  },
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  "_devurl": "https://github.com/mazamascience/mazamatimeseries",
  "_pkgdown": "https://mazamascience.github.io/MazamaTimeSeries/",
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  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
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  "_homeurl": "https://github.com/mazamascience/mazamatimeseries",
  "_realowner": "mazamascience",
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  "_releases": [
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      "date": "2022-02-16"
    },
    {
      "version": "0.2.5",
      "date": "2022-04-05"
    },
    {
      "version": "0.2.7",
      "date": "2022-08-25"
    },
    {
      "version": "0.2.8",
      "date": "2022-10-13"
    },
    {
      "version": "0.2.10",
      "date": "2023-01-31"
    },
    {
      "version": "0.2.12",
      "date": "2023-05-08"
    },
    {
      "version": "0.2.13",
      "date": "2023-07-12"
    },
    {
      "version": "0.2.14",
      "date": "2023-09-08"
    },
    {
      "version": "0.2.15",
      "date": "2023-09-22"
    },
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      "version": "0.2.16",
      "date": "2024-01-22"
    },
    {
      "version": "0.3.0",
      "date": "2024-03-09"
    },
    {
      "version": "0.3.1",
      "date": "2025-05-17"
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  ],
  "_exports": [
    "%>%",
    "mts_arrange",
    "mts_check",
    "mts_collapse",
    "mts_combine",
    "mts_distinct",
    "mts_extractData",
    "mts_extractMeta",
    "mts_filterData",
    "mts_filterDate",
    "mts_filterDatetime",
    "mts_filterMeta",
    "mts_getDistance",
    "mts_isEmpty",
    "mts_isValid",
    "mts_pull",
    "mts_sample",
    "mts_select",
    "mts_selectWhere",
    "mts_setTimeAxis",
    "mts_slice_head",
    "mts_slice_tail",
    "mts_summarize",
    "mts_trim",
    "mts_trimDate",
    "requiredMetaNames",
    "sts_check",
    "sts_combine",
    "sts_distinct",
    "sts_extractData",
    "sts_extractMeta",
    "sts_filter",
    "sts_filterDate",
    "sts_filterDatetime",
    "sts_isEmpty",
    "sts_isValid",
    "sts_summarize",
    "sts_trimDate",
    "timeInfo"
  ],
  "_datasets": [
    {
      "name": "Camp_Fire",
      "title": "Camp Fire example dataset",
      "object": "Camp_Fire",
      "class": [
        "mts_monitor",
        "mts",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "Carmel_Valley",
      "title": "Carmel Valley example dataset",
      "object": "Carmel_Valley",
      "class": [
        "mts_monitor",
        "mts",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "example_mts",
      "title": "Example _mts_ dataset",
      "object": "example_mts",
      "class": [
        "ws_monitor",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "example_raws",
      "title": "Example RAWS dataset",
      "object": "example_raws",
      "class": [
        "raws_timeseries",
        "sts",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "example_sts",
      "title": "Example _sts_ dataset",
      "object": "example_sts",
      "class": [
        "pa_timeseries",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "Camp_Fire",
      "title": "Camp Fire example dataset",
      "topics": [
        "Camp_Fire"
      ]
    },
    {
      "page": "Carmel_Valley",
      "title": "Carmel Valley example dataset",
      "topics": [
        "Carmel_Valley"
      ]
    },
    {
      "page": "example_mts",
      "title": "Example _mts_ dataset",
      "topics": [
        "example_mts"
      ]
    },
    {
      "page": "example_raws",
      "title": "Example RAWS dataset",
      "topics": [
        "example_raws"
      ]
    },
    {
      "page": "example_sts",
      "title": "Example _sts_ dataset",
      "topics": [
        "example_sts"
      ]
    },
    {
      "page": "MazamaTimeSeries",
      "title": "Core functionality for environmental time series",
      "topics": [
        "MazamaTimeSeries-package",
        "MazamaTimeSeries"
      ]
    },
    {
      "page": "mts_arrange",
      "title": "Order _mts_ time series by metadata values",
      "topics": [
        "mts_arrange"
      ]
    },
    {
      "page": "mts_check",
      "title": "Check _mts_ object for validity",
      "topics": [
        "mts_check"
      ]
    },
    {
      "page": "mts_collapse",
      "title": "Collapse an _mts_ time series object into a single time series",
      "topics": [
        "mts_collapse"
      ]
    },
    {
      "page": "mts_combine",
      "title": "Combine multiple _mts_ time series objects",
      "topics": [
        "mts_combine"
      ]
    },
    {
      "page": "mts_distinct",
      "title": "Retain only distinct data records in 'mts$data'",
      "topics": [
        "mts_distinct"
      ]
    },
    {
      "page": "mts_extractDataFrame",
      "title": "Extract dataframes from _mts_ objects",
      "topics": [
        "mts_extractData",
        "mts_extractDataFrame",
        "mts_extractMeta"
      ]
    },
    {
      "page": "mts_filterData",
      "title": "General purpose data filtering for _mts_ time series objects",
      "topics": [
        "mts_filterData"
      ]
    },
    {
      "page": "mts_filterDate",
      "title": "Date filtering for _mts_ time series objects",
      "topics": [
        "mts_filterDate"
      ]
    },
    {
      "page": "mts_filterDatetime",
      "title": "Datetime filtering for _mts_ time series objects",
      "topics": [
        "mts_filterDatetime"
      ]
    },
    {
      "page": "mts_filterMeta",
      "title": "General purpose metadata filtering for _mts_ time series objects",
      "topics": [
        "mts_filterMeta"
      ]
    },
    {
      "page": "mts_getDistance",
      "title": "Calculate distances from _mts_ time series locations to a location of interest",
      "topics": [
        "mts_getDistance"
      ]
    },
    {
      "page": "mts_isEmpty",
      "title": "Test for an empty _mts_ object",
      "topics": [
        "mts_isEmpty"
      ]
    },
    {
      "page": "mts_isValid",
      "title": "Test _mts_ object for correct structure",
      "topics": [
        "mts_isValid"
      ]
    },
    {
      "page": "mts_pull",
      "title": "Extract a column of metadata or data",
      "topics": [
        "mts_pull"
      ]
    },
    {
      "page": "mts_sample",
      "title": "Sample time series for an _mts_ time series object",
      "topics": [
        "mts_sample"
      ]
    },
    {
      "page": "mts_select",
      "title": "Reorder and subset time series within an _mts_ time series object",
      "topics": [
        "mts_select"
      ]
    },
    {
      "page": "mts_selectWhere",
      "title": "Data-based subsetting of time series within an _mts_ object.",
      "topics": [
        "mts_selectWhere"
      ]
    },
    {
      "page": "mts_setTimeAxis",
      "title": "Extend/contract _mts_ time series to new start and end times",
      "topics": [
        "mts_setTimeAxis"
      ]
    },
    {
      "page": "mts_slice",
      "title": "Subset time series based on their position",
      "topics": [
        "mts_slice_head",
        "mts_slice_tail"
      ]
    },
    {
      "page": "mts_summarize",
      "title": "Create summary time series for an _mts_ time series object",
      "topics": [
        "mts_summarize"
      ]
    },
    {
      "page": "mts_trim",
      "title": "Trim _mts_ time series by removing missing values",
      "topics": [
        "mts_trim"
      ]
    },
    {
      "page": "mts_trimDate",
      "title": "Trim _mts_ time series object to full days",
      "topics": [
        "mts_trimDate"
      ]
    },
    {
      "page": "requiredMetaNames",
      "title": "Required columns for the 'meta' dataframe",
      "topics": [
        "requiredMetaNames"
      ]
    },
    {
      "page": "sts_check",
      "title": "Check _sts_ object for validity",
      "topics": [
        "sts_check"
      ]
    },
    {
      "page": "sts_combine",
      "title": "Combine multiple _sts_ time series objects",
      "topics": [
        "sts_combine"
      ]
    },
    {
      "page": "sts_distinct",
      "title": "Retain only distinct data records in 'sts$data'",
      "topics": [
        "sts_distinct"
      ]
    },
    {
      "page": "sts_extractDataFrame",
      "title": "Extract dataframes from _sts_ objects",
      "topics": [
        "sts_extractData",
        "sts_extractDataFrame",
        "sts_extractMeta"
      ]
    },
    {
      "page": "sts_filter",
      "title": "General purpose data filtering for _sts_ time series objects",
      "topics": [
        "sts_filter"
      ]
    },
    {
      "page": "sts_filterDate",
      "title": "Date filtering for _sts_ time series objects",
      "topics": [
        "sts_filterDate"
      ]
    },
    {
      "page": "sts_filterDatetime",
      "title": "Datetime filtering for _sts_ time series objects",
      "topics": [
        "sts_filterDatetime"
      ]
    },
    {
      "page": "sts_isEmpty",
      "title": "Test for empty _sts_ object",
      "topics": [
        "sts_isEmpty"
      ]
    },
    {
      "page": "sts_isValid",
      "title": "Test _sts_ object for correct structure",
      "topics": [
        "sts_isValid"
      ]
    },
    {
      "page": "sts_summarize",
      "title": "Create summary time series for an _sts_ time series object",
      "topics": [
        "sts_summarize"
      ]
    },
    {
      "page": "sts_trimDate",
      "title": "Trim _sts_ time series object to full days",
      "topics": [
        "sts_trimDate"
      ]
    },
    {
      "page": "timeInfo",
      "title": "Get time related information",
      "topics": [
        "timeInfo"
      ]
    }
  ],
  "_readme": "https://github.com/mazamascience/mazamatimeseries/raw/HEAD/README.md",
  "_rundeps": [
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    "brew",
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    "rdtools",
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    "rmarkdown",
    "roxygen2",
    "rprojroot",
    "rstudioapi",
    "rversions",
    "rvest",
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    "whisker",
    "withr",
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    "xtable",
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    "zip"
  ],
  "_vignettes": [
    {
      "source": "Developer_Style_Guide.Rmd",
      "filename": "Developer_Style_Guide.html",
      "title": "Developer Style Guide",
      "author": "Mazama Science",
      "engine": "knitr::rmarkdown",
      "headings": [
        "R Style Guide",
        "Naming Objects",
        "Naming Functions",
        "Naming Files",
        "Syntax",
        "Spacing",
        "Lists"
      ],
      "created": "2021-03-11 21:44:49",
      "modified": "2024-03-08 23:27:24",
      "commits": 3
    },
    {
      "source": "MazamaTimeSeries.Rmd",
      "filename": "MazamaTimeSeries.html",
      "title": "Introduction to MazamaTimeSeries",
      "author": "Mazama Science",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Background",
        "Data Model",
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