sources_topography.R

#' Topographical data sources
#'
#' Data sources providing topographical data.
#'
#' \itemize{
#'   \item "Smith and Sandwell bathymetry": Global seafloor topography from satellite altimetry and ship depth soundings
#'   \item "GEBCO 2014 bathymetry": Global bathymetric grid at 30 arc-second intervals
#'   \item "GEBCO 2019 bathymetry": Global bathymetric grid at 15 arc-second intervals
#'   \item "GEBCO 2021 bathymetry": The GEBCO_2021 Grid is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid. It includes a number of additonal data sets compared to the GEBCO_2020 Grid. The grid is accompanied by a Type Identifier (TID) Grid, giving information on the types of source data that the GEBCO_2021 Grid is based on. The primary GEBCO_2021 grid contains land and ice surface elevation information - as provided for previous GEBCO grid releases. In addition, for the 2021 release, we have made available a version with under-ice topography/bathymetry information for Greenland and Antarctica
#'   \item "GECO 2024 bathymetry": The GEBCO_2024 Grid is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid of 43200 rows x 86400 columns, giving 3,732,480,000 data points. The data values are pixel-centre registered i.e. they refer to elevations, in meters, at the centre of grid cells.
#'   \item "ETOPO1 bathymetry": ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry
#'   \item "ETOPO2 bathymetry": 2-Minute Gridded Global Relief Data (ETOPO2v2c)
#'   \item "Bedmap2": Bedmap2 is a suite of gridded products describing surface elevation, ice-thickness and the sea floor and subglacial bed elevation of the Antarctic south of 60S
#'   \item "Revision of the Kerguelen Plateau bathymetric grid": digital elevation model (DEM) for the Kerguelen Plateau region. Superseded by "AusBathyTopo (Kerguelen Plateau) 100m 2022"
#'   \item "AusBathyTopo (Kerguelen Plateau) 100m 2022": bathymetry (depth) products from the compilation of all available source bathymetry data within the Kerguelen Plateau into a 100 m-resolution Digital Elevation Mode. Supersedes "Revision of the Kerguelen Plateau bathymetric grid"
#'   \item "George V bathymetry": Digital Elevation Models (DEMs) of varying resolutions for the George V and Terre Adelie continental margin, derived by incorporating all available singlebeam and multibeam point depth data
#'   \item "Geoscience Australia multibeam bathymetric grids of the Macquarie Ridge": This is a compilation of all the processed multibeam bathymetry data that are publicly available in Geoscience Australia's data holding for the Macquarie Ridge
#'   \item "IBCSO bathymetry": The International Bathymetric Chart of the Southern Ocean (IBCSO) Version 1.0 is a digital bathymetric model portraying the seafloor of the circum-Antarctic waters south of 60S. IBCSO Version 1.0 has been compiled from all available bathymetric data collectively gathered by more than 30 institutions from 15 countries, including multibeam and single-beam echo soundings, digitized depths from nautical charts, regional bathymetric gridded compilations, and predicted bathymetry
#'   \item "IBCSO chart for printing": The IBCSO Poster, 2013, is a polar stereographic view of the Southern Ocean displaying bathymetric contours south of 60S at a scale of 1:7,000,000
#'   \item "IBCSOv2 bathymetry": The International Bathymetric Chart of the Southern Ocean Version 2 (IBCSO v2) is a digital bathymetric model for the area south of 50S with special emphasis on the bathymetry of the Southern Ocean. IBCSO v2 has a resolution of 500 m x 500 m in a Polar Stereographic projection. The total data coverage of the seafloor is 23.79% with a multibeam-only data coverage of 22.32%. The remaining 1.47% include singlebeam and other data. IBCSO v2 is the most authoritative seafloor map of the area south of 50S.
#'   \item "RTOPO-1 Antarctic ice shelf topography": a consistent dataset of Antarctic ice sheet topography, cavity geometry, and global bathymetry
#'   \item "Radarsat Antarctic digital elevation model V2": The high-resolution Radarsat Antarctic Mapping Project (RAMP) digital elevation model (DEM) combines topographic data from a variety of sources to provide consistent coverage of all of Antarctica. Version 2 improves upon the original version by incorporating new topographic data, error corrections, extended coverage, and other modifications
#'   \item "New Zealand Regional Bathymetry 2016": The NZ 250m gridded bathymetric data set and imagery, Mitchell et al. 2012, released 2016
#'   \item "Cryosat-2 digital elevation model": a digital elevation model of Antarctica derived from 6 years of continuous CryoSat-2 measurements
#'   \item "Natural Earth 10m physical vector data": Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales
#'   \item "GSHHG coastline data": a Global Self-consistent, Hierarchical, High-resolution Geography Database
#'   \item "Shuttle Radar Topography Mission elevation data SRTMGL1 V3": Global 1-arc-second topographic data generated from NASA's Shuttle Radar Topography Mission. Version 3.0 (aka SRTM Plus or Void Filled) removes all of the void areas by incorporating data from other sources such as the ASTER GDEM
#'   \item "Reference Elevation Model of Antarctica mosaic tiles": The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped digital surface model of Antarctica at 8-meter spatial resolution (and reduced-resolution, resampled versions). Accepts a single \code{spatial_resolution} value of "1km", "200m" [default], "100m", "8m"
#'   \item "EGM2008 GIS Data": Global 2.5 Minute Geoid Undulations.
#'   \item "AAS_4116_Coastal_Complexity": This dataset provides a characterisation of Antarctic coastal complexity. At each point, a complexity metric is calculated at length scales from 1 to 256 km, giving a multiscale estimate of the magnitude and direction of undulation or complexity at each point location along the entire coastline.
#' }
#'
#' The returned tibble contains more information about each source.
#'
#' @param name character vector: only return data sources with name or id matching these values
#' @param formats character: for some sources, the format can be specified. See the list of sources above for details
#' @param time_resolutions character: for some sources, the time resolution can be specified. See the list of sources above for details
#' @param ... : additional source-specific parameters. See the list of sources above for details
#'
#' @references See the \code{doc_url} and \code{citation} field in each row of the returned tibble for references associated with these particular data sources
#'
#' @seealso \code{\link{sources_altimetry}}, \code{\link{sources_biological}}, \code{\link{sources_meteorological}}, \code{\link{sources_ocean_colour}}, \code{\link{sources_oceanographic}}, \code{\link{sources_reanalysis}}, \code{\link{sources_sdm}}, \code{\link{sources_seaice}}, \code{\link{sources_sst}}
#'
#' @return a tibble with columns as specified by \code{\link{bb_source}}
#'
#' @examples
#' \dontrun{
#' ## define a configuration and add the Smith and Sandwell bathymetry
#' cf <- bb_config("/my/file/root") %>%
#'   bb_add(sources_topography("Smith and Sandwell bathymetry"))
#' }
#' @export
sources_topography <- function(name,formats,time_resolutions, ...) {
    if (!missing(name) && !is.null(name)) {
        assert_that(is.character(name))
        name <- tolower(name)
    } else {
        name <- NULL
    }
    if (!missing(formats) && !is.null(formats)) {
        assert_that(is.character(formats))
        formats <- tolower(formats)
    } else {
        formats <- NULL
    }
    if (!missing(time_resolutions) && !is.null(time_resolutions)) {
        assert_that(is.character(time_resolutions))
        time_resolutions <- tolower(time_resolutions)
    } else {
        time_resolutions <- NULL
    }
    ss_args <- list(...)
    out <- tibble()
    if (is.null(name) || any(name %in% tolower(c("Smith and Sandwell bathymetry", "global_topo_1min")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Smith and Sandwell bathymetry",
                         id = "global_topo_1min",
                         description = "Global seafloor topography from satellite altimetry and ship depth soundings",
                         doc_url = "https://topex.ucsd.edu/marine_topo/",
                         citation = "Smith, W. H. F., and D. T. Sandwell, Global seafloor topography from satellite altimetry and ship depth soundings, Science, v. 277, p. 1957-1962, 26 Sept., 1997",
                         source_url = "https://topex.ucsd.edu/pub/global_topo_1min/",
                         license = "See https://topex.ucsd.edu/pub/global_topo_1min/README_PERMISSIONS.txt",
                         method = list("bb_handler_rget", level = 1, accept_download_extra = "(img|ers)$"),
                         postprocess = NULL,
                         access_function = "raadtools::readbathy",
                         collection_size = 1.4,
                         data_group = "Topography"))
    }
  if (is.null(name) || any(name %in% tolower(c("GEBCO 2024 bathymetry", "GEBCO_2024")))) {
      
    out <- rbind(out, 
                 bb_source(
                   name = "GEBCO 2024 bathymetry",
                   id = "GEBCO_2024",
                   description = "The GEBCO_2024 Grid is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid of 43200 rows x 86400 columns, giving 3,732,480,000 data points. The data values are pixel-centre registered i.e. they refer to elevations, in meters, at the centre of grid cells.",
                   doc_url = "https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2024/",
                   citation = "GEBCO Compilation Group (2024) GEBCO 2024 Grid (doi:10.5285/1c44ce99-0a0d-5f4f-e063-7086abc0ea0f)",
                   license = "Must cite",
                   source_url = "https://www.bodc.ac.uk/data/open_download/gebco/gebco_2024/zip/",
                   method = list("bb_handler_rget", force_local_filename = "gebco_2024_netcdf.zip"),
                   comment = "bowerbird cannot currently unzip the GEBCO 2024 files. You will need to unzip manually with a utility that can handle large files (e.g. 7z on Linux systems)",
                   collection_size = 4.0,
                   data_group = "Topography")
                 )
  }
    if (is.null(name) || any(name %in% tolower(c("GEBCO 2021 bathymetry", "GEBCO_2021")))) {
        out <- rbind(out,
                     bb_source(
                         name = "GEBCO 2021 bathymetry",
                         id = "GEBCO_2021",
                         description = "The GEBCO_2021 Grid is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid. It includes a number of additonal data sets compared to the GEBCO_2020 Grid. The grid is accompanied by a Type Identifier (TID) Grid, giving information on the types of source data that the GEBCO_2021 Grid is based on. The primary GEBCO_2021 grid contains land and ice surface elevation information - as provided for previous GEBCO grid releases. In addition, for the 2021 release, we have made available a version with under-ice topography/bathymetry information for Greenland and Antarctica.",
                         doc_url = "https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2021/",
                         citation = "GEBCO Compilation Group (2021) GEBCO 2021 Grid. doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f",
                         license = "Must cite",
                         source_url = "https://www.bodc.ac.uk/data/open_download/gebco/gebco_2021/zip/",
                         method = list("bb_handler_rget", force_local_filename = "gebco_2021.zip"),
                         comment = "bowerbird cannot currently unzip the GEBCO 2021 files. You will need to unzip manually with a utility that can handle large files (e.g. 7z on Linux systems)",
                         collection_size = 11.5,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("GEBCO 2021 sub-ice bathymetry", "GEBCO_2021_sub_ice")))) {
        out <- rbind(out,
                     bb_source(
                         name = "GEBCO 2021 sub-ice bathymetry",
                         id = "GEBCO_2021_sub_ice",
                         description = "The GEBCO_2021 Grid is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid. It includes a number of additonal data sets compared to the GEBCO_2020 Grid. The grid is accompanied by a Type Identifier (TID) Grid, giving information on the types of source data that the GEBCO_2021 Grid is based on. The primary GEBCO_2021 grid contains land and ice surface elevation information - as provided for previous GEBCO grid releases. In addition, for the 2021 release, we have made available a version with under-ice topography/bathymetry information for Greenland and Antarctica.",
                         doc_url = "https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2021/",
                         citation = "GEBCO Compilation Group (2021) GEBCO 2021 Grid. doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f",
                         license = "Must cite",
                         source_url = "https://www.bodc.ac.uk/data/open_download/gebco/gebco_2021_sub_ice_topo/zip/",
                         method = list("bb_handler_rget", force_local_filename = "gebco_sub_ice_2021.zip"),
                         comment = "bowerbird cannot currently unzip the GEBCO 2021 files. You will need to unzip manually with a utility that can handle large files (e.g. 7z on Linux systems)",
                         collection_size = 11.5,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("GEBCO 2021 type identifier grid", "GEBCO_2021_tid")))) {
        out <- rbind(out,
                     bb_source(
                         name = "GEBCO 2021 type identifier grid",
                         id = "GEBCO_2021_tid",
                         description = "The GEBCO_2021 Grid is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid. It includes a number of additonal data sets compared to the GEBCO_2020 Grid. The grid is accompanied by a Type Identifier (TID) Grid, giving information on the types of source data that the GEBCO_2021 Grid is based on. The primary GEBCO_2021 grid contains land and ice surface elevation information - as provided for previous GEBCO grid releases. In addition, for the 2021 release, we have made available a version with under-ice topography/bathymetry information for Greenland and Antarctica.",
                         doc_url = "https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2021/",
                         citation = "GEBCO Compilation Group (2021) GEBCO 2021 Grid. doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f",
                         license = "Must cite",
                         source_url = "https://www.bodc.ac.uk/data/open_download/gebco/gebco_2021_tid/zip/",
                         method = list("bb_handler_rget", force_local_filename = "gebco_2021_tid.zip"),
                         postprocess = list("bb_unzip"),
                         collection_size = 4.5,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("GEBCO 2019 bathymetry", "GEBCO_2019")))) {
        out <- rbind(out,
                     bb_source(
                         name = "GEBCO 2019 bathymetry",
                         id = "GEBCO_2019",
                         description = "The GEBCO_2019 Grid is the latest global bathymetric product released by the General Bathymetric Chart of the Oceans (GEBCO). The GEBCO_2019 product provides global coverage, spanning 89d 59' 52.5\"N, 179d 59' 52.5\"W to 89d 59' 52.5\"S, 179d 59' 52.5\"E on a 15 arc-second grid. It consists of 86400 rows x 43200 columns, giving 3,732,480,000 data points. The data values are pixel-centre registered i.e. they refer to elevations at the centre of grid cells.",
                         doc_url = "https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2019/gebco_2019_info.html",
                         citation = "GEBCO Compilation Group (2019) GEBCO 2019 Grid. doi:10.5285/836f016a-33be-6ddc-e053-6c86abc0788e",
                         license = "Must cite",
                         source_url = c("https://www.bodc.ac.uk/data/open_download/gebco/GEBCO_15SEC/zip/"),
                         method = list("bb_handler_rget", force_local_filename = "gebco_2019.zip"),
                         comment = "bowerbird cannot currently unzip GEBCO 2019 file. You will need to unzip manually with a utility that can handle large files (e.g. 7z on Linux systems)",
                         collection_size = 13,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("GEBCO 2014 bathymetry", "GEBCO_2014")))) {
        out <- rbind(out,
                     bb_source(
                         name = "GEBCO 2014 bathymetry",
                         id = "GEBCO_2014",
                         description = "A global grid at 30 arc-second intervals. Originally published in 2014, last updated in April 2015. The data set is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. Where they improve on this model, data sets generated from other methods are included. The grid is accompanied by a Source Identifier Grid (SID). This indicates if the corresponding cells in the GEBCO_2014 Grid are based on soundings, pre-generated grids or interpolation.",
                         doc_url = "https://www.gebco.net/data_and_products/historical_data_sets/#gebco_2014",
                         citation = "The GEBCO_2014 Grid, version 20150318, http://www.gebco.net",
                         license = "Must cite",
                         source_url = c("https://www.bodc.ac.uk/data/open_download/gebco/GEBCO_30SEC/zip/"),
                         method = list("bb_handler_rget", force_local_filename = "gebco_2014.zip"),
                         postprocess = list("bb_unzip"),
                         collection_size = 1.2,
                         data_group = "Topography"),
                     bb_source(
                         name = "GEBCO 2014 bathymetry SID",
                         id = "GEBCO_2014_SID",
                         description = "A global grid at 30 arc-second intervals. Originally published in 2014, last updated in April 2015. The data set is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. Where they improve on this model, data sets generated from other methods are included. The grid is accompanied by a Source Identifier Grid (SID). This indicates if the corresponding cells in the GEBCO_2014 Grid are based on soundings, pre-generated grids or interpolation.",
                         doc_url = "https://www.gebco.net/data_and_products/historical_data_sets/#gebco_2014",
                         citation = "The GEBCO_2014 Grid, version 20150318, http://www.gebco.net",
                         license = "CC-BY",
                         source_url = c("https://www.bodc.ac.uk/data/open_download/gebco/GEBCO_SID/zip/"),
                         method = list("bb_handler_rget", force_local_filename = "gebco_2014_SID.zip"),
                         postprocess = list("bb_unzip"),
                         collection_size = 0.1,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("ETOPO1 bathymetry", "10.7289/V5C8276M")))) {
        out <- rbind(out,
                     bb_source(
                         name = "ETOPO1 bathymetry",
                         id = "10.7289/V5C8276M",
                         description = "ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry.",
                         doc_url = "http://www.ngdc.noaa.gov/mgg/global/global.html",
                         citation = "Amante, C. and B.W. Eakins, 2009. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24. National Geophysical Data Center, NOAA. doi:10.7289/V5C8276M [access date]",
                         license = "Please cite",
                         source_url = "https://www.ngdc.noaa.gov/mgg/global/relief/ETOPO1/data/ice_surface/grid_registered/netcdf/",
                         method = list("bb_handler_rget", level = 1, reject_download = "gmt4"),
                         postprocess = list("bb_gunzip"),
                         access_function = "raadtools::readtopo",
                         collection_size = 1.3,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("ETOPO2 bathymetry", "ETOPO2v2c")))) {
        out <- rbind(out,
                     bb_source(
                         name = "ETOPO2 bathymetry",
                         id = "ETOPO2v2c",
                         description = "2-Minute Gridded Global Relief Data (ETOPO2v2c)",
                         doc_url = "http://www.ngdc.noaa.gov/mgg/global/etopo2.html",
                         citation = "",
                         license = "Not given",
                         source_url = "https://www.ngdc.noaa.gov/mgg/global/relief/ETOPO2/ETOPO2v2-2006/ETOPO2v2c/",
                         method = list("bb_handler_rget", level = 2, accept_follow = "netCDF"),
                         postprocess = list("bb_unzip"),
                         access_function = "raadtools::readtopo",
                         collection_size = 0.3,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("Bedmap2")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Bedmap2",
                         id = "Bedmap2",
                         description = "Bedmap2 is a suite of gridded products describing surface elevation, ice-thickness and the sea floor and subglacial bed elevation of the Antarctic south of 60S.",
                         doc_url = "https://www.bas.ac.uk/project/bedmap-2/",
                         citation = "Fretwell et al. (2013) Bedmap2: improved ice bed, surface and thickness datasets for Antarctica. The Cryosphere 7:375-393. doi:10.5194/tc-7-375-2013",
                         license = "Please cite",
                         source_url = "https://secure.antarctica.ac.uk/data/bedmap2/",
                         method = list("bb_handler_rget", reject_download = "gdb|ascii", accept_download = "\\.(rtf|zip|txt)$", level = 1),
                         postprocess=list("bb_unzip"),
                         collection_size=3.3,
                         data_group="Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("Kerguelen Plateau bathymetric grid 2010", "gcat_71552")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Kerguelen Plateau bathymetric grid 2010",
                         id = "gcat_71552",
                         description = "This data replaces the digital elevation model (DEM) for the Kerguelen Plateau region produced in 2005 (Sexton 2005). The revised grid has been gridded at a grid pixel resolution of 0.001-arc degree (about 100 m). The new grid utilised the latest data sourced from ship-based multibeam and singlebeam echosounder surveys, and satellite remotely-sensed data. Report Reference: Beaman, R.J. and O'Brien, P.E., 2011. Kerguelen Plateau bathymetric grid, November 2010. Geoscience Australia, Record, 2011/22, 18 pages.",
                         doc_url = "http://pid.geoscience.gov.au/dataset/ga/71670",
                         citation = "Beaman, R.J. & O'Brien, P., 2011. Kerguelen Plateau Bathymetric Grid, November 2010. Record  2011/022. Geoscience Australia, Canberra",
                         comment = "Please note: this data file is no longer available. See the \"Revision of the Kerguelen Plateau bathymetric grid\" data source",
                         source_url = "http://ftt.jcu.edu.au/deepreef/kergdem/gmt/kerg_dem_gmt.zip",
                         license = "CC-BY",
                         method = list("bb_handler_rget"),
                         postprocess = list("bb_unzip"),
                         collection_size = 0.7,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("Revision of the Kerguelen Plateau bathymetric grid", "gcat_71552_rev")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Revision of the Kerguelen Plateau bathymetric grid",
                         id = "gcat_71552_rev",
                         description = "The existing regional bathymetric grid of the Kerguelen Plateau, south-west Indian Ocean, was updated using new singlebeam echosounder data from commercial fishing and research voyages, and some new multibeam swath bathymetry data. Source bathymetry data varies from International Hydrographic Organisation (IHO) S44 Order 1a to 2. The source data were subjected to area-based editing to remove data spikes, then combined with the previous Sexton (2005) grid to produce a new grid with a resolution of 0.001-arcdegree. Satellite-derived datasets were used to provide island topography and to fill in areas of no data. The new grid improves the resolution of morphological features observed in earlier grids, including submarine volcanic hills on the top of the Kerguelen Plateau and a complex of submarine channels draining the southern flank of the bank on which Heard Island sits",
                         comment = "This product has been superseded by \"AusBathyTopo (Kerguelen Plateau) 100m 2022\" - you are advised to use that for new projects. \"Revision of the Kerguelen Plateau bathymetric grid\" is a revision of the \"Kerguelen Plateau bathymetric grid 2010\" data source, which is no longer available",
                         doc_url = "http://pid.geoscience.gov.au/dataset/ga/71552",
                         citation = "Beaman RJ (2019) Revision of the Kerguelen Plateau bathymetric grid. Geoscience Australia, Canberra. http://pid.geoscience.gov.au/dataset/ga/71552",
                         source_url = c("https://d28rz98at9flks.cloudfront.net/71552/kerg100_28mar.zip", ## actual data
                                        "https://d28rz98at9flks.cloudfront.net/71552/Data_sources_kerg_dem.xlsx", ## sources
                                        "https://d28rz98at9flks.cloudfront.net/71552/coverage.zip", ## coverage shapefile
                                        "https://d28rz98at9flks.cloudfront.net/71552/Metadata_kerg_dem_V2.pdf"), ## metadata
                         license = "CC-BY with additional restrictions. See the \"additional metadata\" link at http://pid.geoscience.gov.au/dataset/ga/71552",
                         method = list("bb_handler_rget", accept_download_extra = "\\.xlsx$"),
                         postprocess = list("bb_unzip"),
                         collection_size = 0.7,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("AusBathyTopo (Kerguelen Plateau) 100m 2022", "10.26186/147703")))) {
        out <- rbind(out,
                     bb_source(
                         name = "AusBathyTopo (Kerguelen Plateau) 100m 2022",
                         id = "10.26186/147703",
                         description = "This dataset contains bathymetry (depth) products from the compilation of all available source bathymetry data within the Kerguelen Plateau into a 100 m-resolution Digital Elevation Model (DEM).",
                         comment = "Supersedes \"Revision of the Kerguelen Plateau bathymetric grid\"",
                         doc_url = "https://doi.org/10.26186/147703",
                         citation = "Beaman RJ (2023) AusBathyTopo (Kerguelen Plateau) 100m 2022 - A High-resolution Depth Model (20220004C). Geoscience Australia, Canberra. 10.26186/147703",
                         source_url = "https://files.ausseabed.gov.au/survey/Kerguelen%20Plateau%202022%20100m.zip",
                         license = "CC-BY 4.0 International",
                         method = list("bb_handler_rget"),
                         postprocess = list("bb_unzip"),
                         collection_size = 0.7,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("George V bathymetry", "GVdem_2008")))) {
        this <- bb_aadc_source("GVdem_2008", eds_id = 4147, id_is_metadata_id = TRUE, data_group = "Topography")
        this$name <- "George V bathymetry" ## backwards compat
        out <- rbind(out, this)
    }

    if (is.null(name) || any(name %in% tolower(c("Geoscience Australia multibeam bathymetric grids of the Macquarie Ridge", "10.4225/25/53D9B12E0F96E")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Geoscience Australia multibeam bathymetric grids of the Macquarie Ridge",
                         id = "10.4225/25/53D9B12E0F96E",
                         description = "This is a compilation of all the processed multibeam bathymetry data that are publicly available in Geoscience Australia's data holding for the Macquarie Ridge.",
                         doc_url = "https://doi.org/10.4225/25/53D9B12E0F96E",
                         citation = "Spinoccia, M., 2012. XYZ multibeam bathymetric grids of the Macquarie Ridge. Geoscience Australia, Canberra.",
                         source_url = "http://www.ga.gov.au/corporate_data/73697/Macquarie_ESRI_Raster.zip",
                         license = "CC-BY 4.0",
                         method = list("bb_handler_rget"),
                         postprocess = list("bb_unzip"),
                         collection_size = 0.4,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("IBCSO bathymetry", "10.1594/PANGAEA.805734")))) {
        out <- rbind(out,
                     bb_source(
                         name = "IBCSO bathymetry",
                         id = "10.1594/PANGAEA.805734",##IBCSO_v1
                         description = "The International Bathymetric Chart of the Southern Ocean (IBCSO) Version 1.0 is a new digital bathymetric model (DBM) portraying the seafloor of the circum-Antarctic waters south of 60S. IBCSO is a regional mapping project of the General Bathymetric Chart of the Oceans (GEBCO). The IBCSO Version 1.0 DBM has been compiled from all available bathymetric data collectively gathered by more than 30 institutions from 15 countries. These data include multibeam and single-beam echo soundings, digitized depths from nautical charts, regional bathymetric gridded compilations, and predicted bathymetry. Specific gridding techniques were applied to compile the DBM from the bathymetric data of different origin, spatial distribution, resolution, and quality. The IBCSO Version 1.0 DBM has a resolution of 500 x 500 m, based on a polar stereographic projection, and is publicly available together with a digital chart for printing from the project website (www.ibcso.org) and at http://dx.doi.org/10.1594/PANGAEA.805736.",
                         doc_url = "http://www.ibcso.org/",
                         citation = "Arndt, J.E., H. W. Schenke, M. Jakobsson, F. Nitsche, G. Buys, B. Goleby, M. Rebesco, F. Bohoyo, J.K. Hong, J. Black, R. Greku, G. Udintsev, F. Barrios, W. Reynoso-Peralta, T. Morishita, R. Wigley, The International Bathymetric Chart of the Southern Ocean (IBCSO) Version 1.0 - A new bathymetric compilation covering circum-Antarctic waters, 2013, Geophysical Research Letters, Vol. 40, p. 3111-3117, doi: 10.1002/grl.50413",
                         license = "CC-BY",
                         source_url = c("http://hs.pangaea.de/Maps/bathy/IBCSO_v1/IBCSO_v1_bed_PS71_500m_grd.zip", "http://hs.pangaea.de/Maps/bathy/IBCSO_v1/IBCSO_v1_is_PS71_500m_grd.zip", "http://hs.pangaea.de/Maps/bathy/IBCSO_v1/IBCSO_v1_sid_PS71_500m_grd.zip", "http://hs.pangaea.de/Maps/bathy/IBCSO_v1/IBCSO_v1_is_PS71_500m_tif.zip", "http://hs.pangaea.de/Maps/bathy/IBCSO_v1/IBCSO_background_hq.zip"),
                         method = list("bb_handler_rget"),
                         postprocess = list("bb_unzip"),
                         collection_size = 4.3,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("IBCSO chart for printing", "10.1594/PANGAEA.805735")))) {
        out <- rbind(out,
                     bb_source(
                         name = "IBCSO chart for printing",
                         id = "10.1594/PANGAEA.805735",
                         description = "The IBCSO Poster, 2013, is a polar stereographic view of the Southern Ocean displaying bathymetric contours south of 60S at a scale of 1:7,000,000. The poster size is 39.25 x 47.125 inches.",
                         doc_url = "http://www.ibcso.org/",
                         citation = "Arndt, J.E., H. W. Schenke, M. Jakobsson, F. Nitsche, G. Buys, B. Goleby, M. Rebesco, F. Bohoyo, J.K. Hong, J. Black, R. Greku, G. Udintsev, F. Barrios, W. Reynoso-Peralta, T. Morishita, R. Wigley, The International Bathymetric Chart of the Southern Ocean (IBCSO) Version 1.0 - A new bathymetric compilation covering circum-Antarctic waters, 2013, Geophysical Research Letters, Vol. 40, p. 3111-3117, doi: 10.1002/grl.50413",
                         license = "CC-BY",
                         source_url = "http://hs.pangaea.de/Maps/bathy/IBCSO_v1/IBCSO_v1_digital_chart_pdfA.pdf",
                         method = list("bb_handler_rget"),
                         postprocess = NULL,
                         collection_size = 0.2,
                         data_group = "Topography"))
    }


    if (is.null(name) || any(name %in% tolower(c("IBCSOv2 bathymetry", "10.1594/PANGAEA.937574")))) {
        out <- rbind(out,
                     bb_source(
                         name = "IBCSOv2 bathymetry",
                         id = "10.1594/PANGAEA.937574",
                         description = "The International Bathymetric Chart of the Southern Ocean Version 2 (IBCSO v2) is a digital bathymetric model for the area south of 50S with special emphasis on the bathymetry of the Southern Ocean. IBCSO v2 has a resolution of 500 m x 500 m in a Polar Stereographic projection. The total data coverage of the seafloor is 23.79% with a multibeam-only data coverage of 22.32%. The remaining 1.47% include singlebeam and other data. IBCSO v2 is the most authoritative seafloor map of the area south of 50S.",
                         doc_url = "http://www.ibcso.org/",
                         citation = "Dorschel B et al.  (2022): International Bathymetric Chart of the Southern Ocean Version 2 (IBCSO v2). doi: 10.1038/s41597-022-01366-7",
                         license = "CC-BY",
                         source_url = c("https://download.pangaea.de/dataset/937574/files/IBCSO_v2_ice-surface.tif", "https://download.pangaea.de/dataset/937574/files/IBCSO_v2_bed.tif", "https://download.pangaea.de/dataset/937574/files/IBCSO_v2_TID.tif", "https://download.pangaea.de/dataset/937574/files/IBCSO_v2_RID.tif", "https://download.pangaea.de/dataset/937574/files/IBSCO_v2_digital_chart.pdf"),
                         method = list("bb_handler_rget"),
                         collection_size = 0.5,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("RTOPO-1 Antarctic ice shelf topography", "hdl:10013/epic.39674")))) {
        out <- rbind(out,
                     bb_source(
                         name = "RTOPO-1 Antarctic ice shelf topography",
                         id = "hdl:10013/epic.39674",
                         description = "Sub-ice shelf circulation and freezing/melting rates in ocean general circulation models depend critically on an accurate and consistent representation of cavity geometry. The goal of this work is to compile independent regional fields into a global data set. We use the S-2004 global 1-minute bathymetry as the backbone and add an improved version of the BEDMAP topography for an area that roughly coincides with the Antarctic continental shelf. Locations of the merging line have been carefully adjusted in order to get the best out of each data set. High-resolution gridded data for upper and lower ice surface topography and cavity geometry of the Amery, Fimbul, Filchner-Ronne, Larsen C and George VI Ice Shelves, and for Pine Island Glacier have been carefully merged into the ambient ice and ocean topographies. Multibeam survey data for bathymetry in the former Larsen B cavity and the southeastern Bellingshausen Sea have been obtained from the data centers of Alfred Wegener Institute (AWI), British Antarctic Survey (BAS) and Lamont-Doherty Earth Observatory (LDEO), gridded, and again carefully merged into the existing bathymetry map.",
                         doc_url = "http://epic.awi.de/30738/",
                         citation = "Timmermann, Ralph; Le Brocq, Anne M; Deen, Tara J; Domack, Eugene W; Dutrieux, Pierre; Galton-Fenzi, Ben; Hellmer, Hartmut H; Humbert, Angelika; Jansen, Daniela; Jenkins, Adrian; Lambrecht, Astrid; Makinson, Keith; Niederjasper, Fred; Nitsche, Frank-Oliver; N\uf8st, Ole Anders; Smedsrud, Lars Henrik; Smith, Walter (2010): A consistent dataset of Antarctic ice sheet topography, cavity geometry, and global bathymetry. Earth System Science Data, 2(2), 261-273, doi:10.5194/essd-2-261-2010",
                         license = "CC-BY",
                         source_url = c("http://store.pangaea.de/Publications/TimmermannR_et_al_2010/RTopo105b_data.nc", "http://store.pangaea.de/Publications/TimmermannR_et_al_2010/RTopo105b_aux.nc", "http://store.pangaea.de/Publications/TimmermannR_et_al_2010/RTopo105b_50S.nc", "http://store.pangaea.de/Publications/TimmermannR_et_al_2010/RTopo105_coast.asc", "http://store.pangaea.de/Publications/TimmermannR_et_al_2010/RTopo105_gl.asc", "http://store.pangaea.de/Publications/TimmermannR_et_al_2010/RTopo105_bathy.jpg", "http://store.pangaea.de/Publications/TimmermannR_et_al_2010/RTopo105_draft.jpg", "http://store.pangaea.de/Publications/TimmermannR_et_al_2010/RTopo105_height.jpg", "http://store.pangaea.de/Publications/TimmermannR_et_al_2010/RTopo105_famask.jpg"),
                         method = list("bb_handler_rget", accept_download = "(jpg|nc|asc)$"),
                         postprocess = NULL,
                         collection_size = 4.1,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("Radarsat Antarctic digital elevation model V2", "nsidc0082")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Radarsat Antarctic digital elevation model V2",
                         id = "nsidc0082",
                         description = "The high-resolution Radarsat Antarctic Mapping Project (RAMP) digital elevation model (DEM) combines topographic data from a variety of sources to provide consistent coverage of all of Antarctica. Version 2 improves upon the original version by incorporating new topographic data, error corrections, extended coverage, and other modifications.",
                         doc_url = "http://nsidc.org/data/nsidc-0082",
                         citation = "Liu, H., K. Jezek, B. Li, and Z. Zhao. 2001. Radarsat Antarctic Mapping Project Digital Elevation Model Version 2. [indicate subset used]. Boulder, Colorado USA: National Snow and Ice Data Center. http://dx.doi.org/10.5067/PXKC81A7WAXD",
                         license = "Please cite",
                         source_url = "ftp://sidads.colorado.edu/pub/DATASETS/nsidc0082_radarsat_dem_v02/",
                         method = list("bb_handler_rget", level = 3, accept_download_extra = "\\.hdr$", reject_download = "\\.txt\\.gz$"),
                         postprocess = list("bb_gunzip"),
                         collection_size = 5.3,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("New Zealand Regional Bathymetry 2016", "NZBathy_DTM_2016_binary_grid")))) {
        out <- rbind(out,
                     bb_source(
                         name = "New Zealand Regional Bathymetry 2016",
                         id = "NZBathy_DTM_2016_binary_grid",
                         description = "The NZ 250m gridded bathymetric data set and imagery, Mitchell et al. 2012, released 2016.",
                         doc_url = "https://www.niwa.co.nz/our-science/oceans/bathymetry/further-information",
                         citation = "Mitchell JS, Mackay KA, Neil HL, Mackay EJ, Pallentin A, Notman P (2012) Undersea New Zealand, 1:5,000,000. NIWA Chart, Miscellaneous Series No. 92",
                         source_url = "https://gis.niwa.co.nz/portal/sharing/rest/content/items/d2d2644698e5427da5d0e5c4b79f73ba/data",
                         license = "NIWA Open Data Licence BY-NN-NC-SA version 1, see https://www.niwa.co.nz/environmental-information/licences/niwa-open-data-licence-by-nn-nc-sa-version-1",
                         method = list("bb_handler_rget", force_local_filename = "nzbathy_2016.zip"),
                         postprocess = list("bb_unzip"),
                         collection_size = 1.3,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("Cryosat-2 digital elevation model", "cpom_cryosat2_antarctic_dem")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Cryosat-2 digital elevation model",
                         id = "cpom_cryosat2_antarctic_dem",
                         description = "A New Digital Elevation Model of Antarctica derived from 6 years of continuous CryoSat-2 measurements",
                         doc_url = "https://doi.org/10.5194/tc-2017-223",
                         citation = "Slater T, Shepherd A, McMillan M, Muir A, Gilbert L, Hogg AE, Konrad H, Parrinello T (2017) A new Digital Elevation Model of Antarctica derived from CryoSat-2 altimetry. The Cryosphere Discussions. https://doi.org/10.5194/tc-2017-223",
                         license = "Please cite",
                         source_url = "http://www.cpom.ucl.ac.uk/csopr/icesheets3/dems.php",
                         method = list("bb_handler_rget", level = 1, accept_download = "Antarctica_Cryosat2_1km_DEM"),
                         collection_size = 2,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("Natural Earth 10m physical vector data", "NE-10m-physical-vectors")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Natural Earth 10m physical vector data",
                         id = "NE-10m-physical-vectors",
                         description = "Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales.",
                         doc_url = "http://www.naturalearthdata.com/downloads/10m-physical-vectors/",
                         citation = "No permission is needed to use Natural Earth. Crediting the authors is unnecessary. However, if you wish to cite the map data, simply use one of the following. Short text: Made with Natural Earth. Long text: Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com.",
                         license = "PD-CC",
                         source_url = "http://www.naturalearthdata.com/http//www.naturalearthdata.com/download/10m/physical/10m_physical.zip",
                         method = list("bb_handler_rget"),
                         postprocess = list("bb_unzip"),
                         collection_size = 0.2,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("GSHHG coastline data", "gshhg_coastline")))) {
        out <- rbind(out,
                     bb_source(
                         name = "GSHHG coastline data",
                         id = "gshhg_coastline",
                         description = "A Global Self-consistent, Hierarchical, High-resolution Geography Database",
                         doc_url = "http://www.soest.hawaii.edu/pwessel/gshhg",
                         citation = "Wessel, P., and W. H. F. Smith, A Global Self-consistent, Hierarchical, High-resolution Shoreline Database, J. Geophys. Res., 101, 8741-8743, 1996",
                         source_url = "ftp://ftp.soest.hawaii.edu/gshhg/",
                         license = "LGPL",
                         method = list("bb_handler_rget", level = 1, accept_download = "README|bin.*\\.zip$|\\.nc$"),
                         postprocess = list("bb_unzip"),
                         collection_size = 0.6,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("Antarctic Digital Database high resolution polygons v7.9", "add_coastline_high_res_polygon_v7_9", "10.5285/9b4fab56-4999-4fe1-b17f-1466e41151c4")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Antarctic Digital Database high resolution polygons v7.9",
                         id = "10.5285/9b4fab56-4999-4fe1-b17f-1466e41151c4",
                         description = "Coastline for Antarctica created from various mapping and remote sensing sources, provided as polygons with 'land', 'ice shelf', 'ice tongue' or 'rumple' attribute. Covering all land and ice shelves south of 60S. Suitable for topographic mapping and analysis. High resolution versions of ADD data are suitable for scales larger than 1:1,000,000. The largest suitable scale is changeable and dependent on the region",
                         doc_url = "https://www.bas.ac.uk/project/add/",
                         citation = "Gerrish L, Ireland L, Fretwell P, Cooper P (2024) High resolution vector polygons of the Antarctic coastline (7.9) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. 10.5285/9b4fab56-4999-4fe1-b17f-1466e41151c4",
                         source_url = "https://data.bas.ac.uk/download/c274ee44-ead8-4ee1-8f05-3f93b73f57af",
                         license = "CC-BY 4.0",
                         method = list("bb_handler_rget", force_local_filename = "add_coastline_high_res_polygon_v7_9.gpkg"),
                         collection_size = 0.2,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("Antarctic Digital Database medium resolution polygons v7.9", "add_coastline_medium_res_polygon_v7_9", "10.5285/aaec1295-b0a8-4c49-a751-d964c326ce8d")))) {
        out <- rbind(out,
                     bb_source(
                         name = "Antarctic Digital Database medium resolution polygons v7.9",
                         id = "10.5285/aaec1295-b0a8-4c49-a751-d964c326ce8d",
                         description = "",
                         doc_url = "https://www.bas.ac.uk/project/add/",
                         citation = "Gerrish L, Ireland L, Fretwell P, Cooper P (2024) Medium resolution vector polygons of the Antarctic coastline (7.9) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. 10.5285/aaec1295-b0a8-4c49-a751-d964c326ce8d",
                         source_url = "https://data.bas.ac.uk/download/51e7374c-4b45-46c8-bcd3-9aa9595f3884",
                         license = "CC-BY 4.0",
                         method = list("bb_handler_rget", force_local_filename = "add_coastline_medium_res_polygon_v7_9.gpkg"),
                         collection_size = 0.05,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("Shuttle Radar Topography Mission elevation data SRTMGL1 V3","10.5067/measures/srtm/srtmgl1.003")))) {
        out <- rbind(out,
                     bb_source(
                         name="Shuttle Radar Topography Mission elevation data SRTMGL1 V3",
                         id="10.5067/measures/srtm/srtmgl1.003",
                         description="Global 1-arc-second topographic data generated from NASA's Shuttle Radar Topography Mission. Version 3.0 (aka SRTM Plus or Void Filled) removes all of the void areas by incorporating data from other sources such as the ASTER GDEM.",
                         doc_url="https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/srtmgl1_v003",
                         source_url="https://e4ftl01.cr.usgs.gov/MEASURES/SRTMGL1.003/2000.02.11/",
                         citation="NASA JPL. (2013). NASA Shuttle Radar Topography Mission Global 1 arc second [Data set]. NASA LP DAAC. https://doi.org/10.5067/measures/srtm/srtmgl1.003",
                         license="Please cite, see https://lpdaac.usgs.gov/node/51",
                         authentication_note="Requires Earthdata login, see https://urs.earthdata.nasa.gov/",
                         method=list("bb_handler_earthdata", level = 2, accept_follow = "/SRTMGL1.003/2000.02.11/", no_parent = FALSE, accept_download = "(zip|jpg|xml)$"),
                         user="",
                         password="",
                         postprocess=list("bb_unzip"),
                         collection_size=620,
                         data_group="Topography",warn_empty_auth=FALSE))
    }

    if (is.null(name) || any(name %in% tolower(c("Reference Elevation Model of Antarctica","REMA_R1.1_mosaic")))) {
        spatial_resolution <- ss_args$spatial_resolution
        if (is.null(spatial_resolution)) spatial_resolution <- "200m"
        assert_that(is.string(spatial_resolution))
        spatial_resolution <- match.arg(tolower(spatial_resolution), c("1km", "200m", "100m", "8m"))
        switch(spatial_resolution,
               "8m" = {
                   csize = 1500
                   pp <- list("bb_unzip", "bb_untar")
                   src_url <- c("ftp://ftp.data.pgc.umn.edu/elev/dem/setsm/REMA/mosaic/v1.1/8m/", "ftp://ftp.data.pgc.umn.edu/elev/dem/setsm/REMA/indexes/")
               },
               "100m" = {
                   csize <- 0.4
                   src_url <- "ftp://ftp.data.pgc.umn.edu/elev/dem/setsm/REMA/mosaic/v1.1/100m/"
                   pp <- NULL
               },
               "200m" = {
                   csize <- 1.2
                   src_url <- "ftp://ftp.data.pgc.umn.edu/elev/dem/setsm/REMA/mosaic/v1.1/200m/" ##"ftp://ftp.data.pgc.umn.edu/elev/dem/setsm/REMA/mosaic/v1.0/200m/"
                   pp <- NULL
               },
               "1km" = {
                   csize = 0.15
                   src_url <- "ftp://ftp.data.pgc.umn.edu/elev/dem/setsm/REMA/mosaic/v1.1/1km/"
                   pp <- NULL
               },
               stop("unexpected spatial_resolution: ", spatial_resolution))
        out <- rbind(out,
                     bb_source(
                         name = "Reference Elevation Model of Antarctica mosaic tiles",
                         id = "REMA_R1.1_mosaic",
                         description = "The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped digital surface model of Antarctica at 8-meter spatial resolution. REMA is constructed from hundreds of thousands of individual stereoscopic Digital Elevation Models (DEM) extracted from pairs of submeter (0.32 to 0.5 m) resolution DigitalGlobe satellite imagery. Version 1 of REMA includes approximately 98% of the contiguous continental landmass extending to maximum of roughly 88 degrees S. Output DEM raster files are being made available as both 'strip' files as they are output directly from SETSM that preserve the original source material temporal resolution, as well as mosaic tiles that are compiled from multiple strips that have been co-registered, blended, and feathered to reduce edge-matching artifacts.",
                         doc_url = "https://www.pgc.umn.edu/data/rema/",
                         comment = "Note that the 100m version only provides coverage of the Antarctic Peninsula region",
                         source_url = src_url,
                         citation = "DEMs provided by the Byrd Polar and Climate Research Center and the Polar Geospatial Center under NSF-OPP awards 1543501, 1810976, 1542736, 1559691, 1043681, 1541332, 0753663, 1548562, 1238993 and NASA award NNX10AN61G. Computer time provided through a Blue Waters Innovation Initiative. DEMs produced using data from DigitalGlobe, Inc",
                         license = "Please cite, see https://www.pgc.umn.edu/guides/user-services/acknowledgement-policy/",
                         method = list("bb_handler_rget", level = 2, accept_follow = "/[[:digit:]]+_[[:digit:]]+/?$"),
                         postprocess = pp,
                         collection_size = csize,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("EGM2008 GIS Data", "EGM2008")))) {
        out <- rbind(out,
                     bb_source(
                         name = "EGM2008 Global 2.5 Minute Geoid Undulations",
                         id = "EGM2008",
                         description = "Each zip file contains an ESRI GRID raster data set of 2.5-minute geoid undulation values covering a 45 x 45 degree area. Each raster file has a 2.5-minute cell size and is a subset of the global 2.5 x 2.5-minute grid of pre-computed geoid undulation point values found on the EGM2008-WGS 84 Version web page. This ESRI GRID format represents a continuous surface of geoid undulation values where each 2.5-minute raster cell derives its value from the original pre-computed geoid undulation point value located at the SW corner of each cell.",
                         doc_url = "https://earth-info.nga.mil/GandG/wgs84/gravitymod/egm2008/egm08_gis.html",
                         source_url = "https://earth-info.nga.mil/GandG/wgs84/gravitymod/egm2008/egm08_gis.html",
                         citation = "Pavlis NK, Holmes SA, Kenyon SC, Factor JK (2012) The development and evaluation of the Earth Gravitational Model 2008 (EGM2008). Journal of Geophysical Research: Solid Earth 117(B4)",
                         license = "Please cite",
                         method = list("bb_handler_rget", level = 1, accept_download = "GIS/world_geoid/.*\\.zip", link_css = "area"),
                         postprocess = list("bb_unzip"),
                         ##collection_size = csize,
                         data_group = "Topography"))
    }

    if (is.null(name) || any(name %in% tolower(c("AAS_4116_Coastal_Complexity", "10.26179/5d1af0ba45c03")))) {
        this <- bb_aadc_source("AAS_4116_Coastal_Complexity", data_group = "Topography")
        this$name <- "AAS_4116_Coastal_Complexity" ## backwards compat
        this$method[[1]]$accept_download <- "README|LICENSE|Antarctic"
        out <- rbind(out, this)
    }

    out
}