NOAA’s National Geodetic Survey (NGS) is in the process of modernizing the National Spatial Reference System (NSRS). As part of NSRS Modernization, the State Plane Coordinate System (SPCS) will be updated to SPCS2022. This Tiled Image Layer displays the distortion for the Special Use Zones for the SPCS2022 zone layers. This layer is intended for NGS customers, stakeholders, partners, and other constituents to view and provide feedback on the SPCS2022 zones that are being planned for release. The zone definitions are beta and should not be considered final. Distortion rasters have been reprojected to Web Mercator, which changes distortion values due to resampling of the original unprojected rasters. Although the value changes are generally small, only the original rasters are used by NGS for obtaining distortion values and assessing performance. NGS plans to make the original unprojected rasters available after SPCS2022 is finalized. Beta SPCS2022 ExperienceBeta SPCS2022 All Zones Web MapBeta SPCS2022 Special Use Zones Web MapData SourcesInformation about SPCS2022 can be found on the SPCS2022 Beta web pages.https://beta.ngs.noaa.gov/SPCS/Exact zone definitions can be viewed at the SPCS2022 Beta zone definition web page. https://beta.ngs.noaa.gov/SPCS/zone-definitions.shtmlDistortionLinear distortion is the same as map scale error at the ground surface, given in parts per million (ppm) rather than as a ratio. For example, distortion of 100 ppm is the same as 10 cm per km, 0.53 ft per mile, or a ratio of 1 part in 10,000. So for an actual horizontal distance of 1 mile, the projected (map grid) distance would be 0.53 ft shorter for negative 100 ppm distortion, and 0.53 ft longer for positive 100 ppm distortion.Point of ContactPlease email the NGS Information Center for any questions at ngs.infocenter@noaa.gov

NOAA’s National Geodetic Survey (NGS) is in the process of modernizing the National Spatial Reference System (NSRS). As part of NSRS Modernization, the State Plane Coordinate System (SPCS) will be updated to SPCS2022. This Tiled Image Layer displays the distortion for the Special Use Gulf Zones for the SPCS2022 zone layers. This layer is intended for NGS customers, stakeholders, partners, and other constituents to view and provide feedback on the SPCS2022 zones that are being planned for release. The zone definitions are beta and should not be considered final. Distortion rasters have been reprojected to Web Mercator, which changes distortion values due to resampling of the original unprojected rasters. Although the value changes are generally small, only the original rasters are used by NGS for obtaining distortion values and assessing performance. NGS plans to make the original unprojected rasters available after SPCS2022 is finalized. Beta SPCS2022 ExperienceBeta SPCS2022 All Zones Web MapBeta SPCS2022 Special Use Zones Web MapData SourcesInformation about SPCS2022 can be found on the SPCS2022 Beta web pages.https://beta.ngs.noaa.gov/SPCS/Exact zone definitions can be viewed at the SPCS2022 Beta zone definition web page. https://beta.ngs.noaa.gov/SPCS/zone-definitions.shtmlDistortionLinear distortion is the same as map scale error at the ground surface, given in parts per million (ppm) rather than as a ratio. For example, distortion of 100 ppm is the same as 10 cm per km, 0.53 ft per mile, or a ratio of 1 part in 10,000. So for an actual horizontal distance of 1 mile, the projected (map grid) distance would be 0.53 ft shorter for negative 100 ppm distortion, and 0.53 ft longer for positive 100 ppm distortion.Point of ContactPlease email the NGS Information Center for any questions at ngs.infocenter@noaa.gov

Annual biomass data (2001-2021) for southern California: above- and below-ground, standing dead, and litter

https://doi.org/10.5061/dryad.qz612jmjt

Description of the data and file structure

Data description:

Annual spatial estimates of above ground live, standing dead, litter, and below ground biomass (g/m2) for 2001-2023 for southern California.

These raster layers were created by modeling field plot biomass to covariates, including precipitation, remotely sensed NDVI, and geophysical (slope, aspect, elevation) data.

For a more complete description, visit https://doi.org/10.5061/dryad.qz612jmjt

The biomass raster layers are packaged in zip files for each year using the following naming structure:

WWETAC_UCD_SoCal_Biomass_XXXX.zip

Where XXXX is the year of the biomass estimates. Within each zip file are the following files:

WWETAC_UCD_

Where

Second version of a bathymetric map of the Baker-Martinez fjord complex (Chile, 48°S) constructed from multiple data sets: multibeam echosounder data of Baker channel (Harada et al., 2008) and of Steffen fjord and Baker river delta (Vandekerkhove et al.), single beam echosounder data of Martinez channel (R/V Sur-Austral 2015/2016) and Jorge Montt fjord (Rivera et al., 2012, Moffat, 2014 and additional data from C. Moffat) and individual bathymetry points (digitized using Global Mapper software) from two SHOA nautical charts (SHOA, 2001, 2008). The heterogeneous data with distinct spatial resolution was gridded using the kriging method (3.6 arc-second resolution) in Surfer from Golden Software. Compared to the first version (Piret et al., 2017), this new version features improved bathymetry for the Martinez Channel. We intend to update this map when new data sets become available. The data file is in the Golden Software Surfer format 7 grid format and is suitable for import in ODV’s "Section View" windows following sections 3.3 and 3.4 of the Ocean Data View manual version 5.0: https://odv.awi.de/fileadmin/user_upload/odv/misc/HowTo.pdf. Geographic (unprojected lat/lon) Coordinate System – World Geodetic System 1984 (WGS84). The previous version of this bathymetry is available at https://doi.org/10.6084/m9.figshare.5285521.v3 (figshare).

This is a GIS file set of the Kua ruins. The data was generated from laser scans, photogrammetric techniques and GPS data. The data maps the site of the Kua ruins on Juani Island in Tanzania. All data is in either the unprojected Geographic (GCS WGS84) or the projected Universal Transverse Mercator 37 South (UTM34S WGS84) coordinate system.The data is packaged as an ESRI Map Package (.mpk). If you are not an ESRI user and wish to unpack the package please rename the file extension to .zip and use a programme, such as 7-Zip, to unpack the package. The package contains shapefiles and images which are compatible with most GIS software.The Kua ruins are all that remains of a medieval Swahili town located on Juani Island in the Mafia Archipelago. The ruins offer insights into an island civilization that saw Portuguese and Omani control as well as independence, enslavement, and eventual abandonment. Indicators of early settlement and trade—including Islamic and Chinese ceramics dating to the thirteenth and fourteenth centuries and currency from mainland Tanzania—have been found in the ruins, while Portuguese accounts from the sixteenth century note the great wealth of the Kua people. The Zamani Project spatially documented some of the Kua ruins in 2018.The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town.This text has been adapted from the World Monuments Fund website (https://www.wmf.org/project/kua-ruins).All work was carried out as part of the Kua Conservation Project:Co-Directors: Stephane Pradines (ISMC-AKU) and Pierre Blanchard (WMF).Partner institutions: Aga Khan University (AKU); Tanzanian Antiquities; World Monument Fund (WMF), Zamani Project (University of Cape Town) Then Zamani Project contributed accurate 3D models and maps of the site and structures to the Kua Conservation Program.

This is a GIS file set of the Gede ruins. The data was generated from laser scans, photogrammetric techniques and GPS data. The data maps the site of the Gede ruins in Kilifi County in Kenya. All data is in either the unprojected Geographic (GCS WGS84) or the projected Universal Transverse Mercator 37 South (UTM37S WGS84) coordinate system. The data is packaged as an ESRI Map Package (.mpk). If you are not an ESRI user and wish to unpack the package please rename the file extension to .zip and use a programme, such as 7-Zip, to unpack the package. The package contains shapefiles and images which are compatible with most GIS software. The ruins of Gede (also Gedi), a traditional Arab-African Swahili town, are located just off Kenya’s coastline, some 90km north of Mombasa. Gede was a small town built entirely from stones and rocks, and most of the original foundations are still visible today. Remaining structures at the site include coral stone buildings, mosques, houses and a palace. The town was abandoned in the early 17th century, and Gede’s buildings date back to the 15th century, although it is believed that the site could have been inhabited as early as the 11th or 12th century. The Zamani Project spatially documented the Gede ruins in 2010. In addition to the three principal structures of the Great Mosque, the Small Mosque and the Palace, remains of other structures in the immediate vicinity were also documented. The Zamani Project seeks to increase awareness and knowledge of tangible cultural heritage in Africa and internationally by creating metrically accurate digital representations of historical sites. Digital spatial data of cultural heritage sites can be used for research and education, for restoration and conservation and as a record for future generations. The Zamani Project operates as a non-profit organisation within the University of Cape Town. This text has been adapted from the UNESCO website (https://whc.unesco.org/en/tentativelists/5501/). The Zamani Project received funding from the Andrew W Mellon Foundation at the time of the project.

Abstract: This high-resolution gridded bathymetry data set was acquired with a Reson SeaBat 7125 Multibeam sonar system in 2013 and 2016 on MBARI Mapping AUV missions 20131003m1, 20160927m1, 20160927m2, 20160928m1, 20160929m1, 20160929m2, 20161001m1, and 20161001m2. The files are in ESRI ASCII grid format, are un-projected in geographic coordinates, and were processed using the open-source MB-System multibeam sonar processing software. The grid has 1-meter horizontal resolution. The AUV survey missions were conducted during CCGS Sir Wilfrid Laurier IOS cruises 2013-22 and 2016-13 in the Beaufort Sea (Cruise Chief Scientist - Humfrey Melling, Department of Fisheries and Oceans Canada; project PI - Charlie Paull and investigators: Dr. David Caress and Eve Lundsten, MBARI). Data were acquired as part of a collaborative research project between MBARI, the Geological Survey of Canada, and Department of Fisheries and Oceans Canada. Funding for the AUV mapping was provided from the David and Lucile Packard Foundation.