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ETSpy: A HyperSpy Extension Package for Electron Tomography Data Processing and Reconstruction
ETSpy is a HyperSpy extension package package for the processing, aligment, and reconstruction of electron tomography data from TEM/STEM instruments. Tools are provided for basic tilt series data processing, stack alignment, and reconstruction using the ASTRA Toolbox.
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ETSpy: A HyperSpy Extension Package for Electron Tomography Data Processing and Reconstruction
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ETSpy is a HyperSpy extension package package for the processing, aligment, and reconstruction of electron tomography data from TEM/STEM instruments. Tools are provided for basic tilt series data processing, stack alignment, and reconstruction using the ASTRA Toolbox.
RxTerms
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RxTerms is a drug interface terminology derived from RxNorm for prescription writing or medication history recording (e.g. in e-prescribing systems, PHRs). RxTerms is derived only from the non-proprietary content of RxNorm, which is developed and maintained by the U.S. National Library of Medicine. No fee or license is required to use the RxTerms data. Technical documentation at https://wwwcf.nlm.nih.gov/umlslicense/rxtermApp/rxTermFileStructure.cfm
eReefs BioGeoChemical model regridded temporal aggregation data service - daily, monthly, annual (AIMS, source: CSIRO)
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This service provides generated summaries (daily, monthly, annual) of the eReefs CSIRO biogeochemistry model v3.1 (https://research.csiro.au/ereefs) outputs at 4km resolution as a Thredds data service. This provides the data as an OPeNDAP service and as NetCDF files (https://thredds.ereefs.aims.gov.au/thredds/). The processing is provided by the AIMS eReefs Platform (https://ereefs.aims.gov.au/ereefs-aims). These summaries are derived from the original daily model outputs available via the National Computing Infrastructure (NCI) (https://dapds00.nci.org.au/thredds/catalogs/fx3/catalog.html), and have been re-gridded from the original curvilinear grid used by the eReefs model into a regular grid so that the data files can be easily loaded into standard GIS software. Notice: In the second half of 2025 there will be an updated hindcast of the BGC model (v4.0). This dataset and Thredds service will be updated when the raw model data becomes available on NCI available. The v3.1 data will then be deprecated and may become unavailable as it is too expensive to maintain both datasets. The GBR4 BioGeoChemical (BGC) model builds on the GBR4 hydrodynamic model by modelling the water quality (nutrients and suspended sediment) and key ecological processes (coral, seagrass, plankton) that drive the water chemistry. This model allows us to better understand how water quality is affected by land runoff. Detailed information about the model can be found in the paper: CSIRO Environmental Modelling Suite (EMS): Scientific description of the optical and biogeochemical models (vB3p0). This data service provides a regridded version of the daily BGC model. The source raw eReefs BGC model from CSIRO is a daily snapshot, and so the regridded version is also a snapshot, not a temporal aggregate. The monthly and annual products correspond to the average of the daily values of the aggregation period. The original model output data set contains three (3) scenarios, each of which have an equivalent set of summaries in this data set: Baseline (GBR4_H2p0_B3p1_Cq3b_Dhnd): Paddock to Reef SOURCE Catchments with 2019 catchment condition from Dec 1, 2010 – Jun 30, 2018 (used for GBR Report Card 8 published in 2019), Empirical SOURCE with 2019 catchment condition, Jul 1, 2018 – April 30, 2019. This scenario most closely corresponds to historic BioGeoChemical conditions of the reef (see limitation). Pre-industrial (GBR4_H2p0_B3p1_Cq3P_Dhnd): Paddock to Reef SOURCE Catchments with Pre-Industrial catchment condition from Dec 1, 2010 – Jun 30, 2018 (used for GBR Report Card 8 published in 2019), Empirical SOURCE with Pre-Industrial catchment, Jul 1, 2018 – April 30, 2019. Reduced (GBR4_H2p0_B3p1_Cq3R_Dhnd): SOURCE Catchments with 2019 catchment condition (q3b) with anthropogenic loads (q3b – q3p) reduced according to the percentage reductions of DIN, PN, PP and TSS specified in the Reef 2050 Water Quality Improvement Plan (WQIP) 2017-2022 as calculated in Brodie et al., (2017). Further, the reductions are adjusted to account for the cumulative reductions already achieved between 2014 and 2019 that will be reflected in the 2019 catchment condition used in the Baseline scenario (q3b). For more information about the biogeochemical model naming protocol, see https://research.csiro.au/ereefs/models/models-about/biogeochemical-simulation-naming-protocol/ Method: A description of the processing, especially aggregation and regridding, is available in the "Technical Guide to Derived Products from CSIRO eReefs Models" document (https://nextcloud.eatlas.org.au/apps/sharealias/a/aims-ereefs-platform-technical-guide-to-derived-products-from-csiro-ereefs-models-pdf). Data Dictionary: This dataset contains a subset of the original BGC model variables. This subset was chosen based on those variables that are most likely to have utility. Additional information about these variables can be found using the OPeNDAP browser via the AIMS eReefs THREDDS server