Data SGPs (the Sustainable Geochemical Project, or DGP for short) are integrated collections of geochemical data and metadata designed to address specific research questions. While large community databases such as Genbank or EarthChem collect all available information, research consortia are tailored specifically to address each research inquiry at hand by gathering only that which is essential and pertinent. As a result, consortia are often more effective than large community databases in providing access to unique or non-obviously available datasets or metadata that would otherwise remain hidden or inaccessible otherwise.
The data sgp package offers two wrapper functions (abcSGP and updateSGP) to efficiently combine lower level SGP analyses studentGrowthPercentiles and studentGrowthProjections into a single function call, significantly streamlining source code associated with running SGP analyses. Furthermore, these functions allow the user to specify settings which affect how calculations are conducted as well as which variables will be included into final calculations.
As well as offering wrapper functions, the data sgp package offers WIDE and LONG formatted data sets (sgpData and sgpData_LONG) for users to experiment with. Each data set contains unique student identifiers, the grade level for assessment scores (score), time dependent data for each student spread over multiple rows in the data set; additionally the sgpData_LONG includes an INSTRUCTOR-STUDENT lookup file called INSTRUCTOR_NUMBER which allows users to associate instructors with every assessment record associated with student assessment records in real time.
Data sgp is an indispensable resource for researchers exploring questions pertaining to Earth’s environmental and climate history. Researchers can access high-quality geochemical, geophysical and biochemical measurements as well as modeling results not available elsewhere through its database.
Data SGP contains over 11,000 individual files and more than 220 tables, providing both historical data and current observations from 160 acres of pasture and wheat fields southeast of Lamont. This resource serves scientists who use atmospheric science models to study global atmosphere and ocean; from single observation analyses and multi-observation process studies through assimilation into Earth system models.
Though Data SGP remains incomplete, its database is rapidly expanding as new observatories come online and projects are submitted for review. Our aim is to migrate Data SGP database into permanent repositories so it will remain available to researchers worldwide and continue being an essential tool in investigating a wide array of important scientific questions.
