cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/0f6f5a45-d8af-4511-a264-b0b35ee34af6
title: Antarctica's Gamburtsev Province (AGAP) Project - Radio-echo sounding data (2007-2009)

description: Radio-echo sounding data was collected using 150 MHz ice-penetrating radars with bandwidths of 15-20 MHz. This data was collected as part of the seven nation Antarctica's Gamburtsev Province (AGAP) expedition during the International Polar Year 2007-2009, and used to acquire a detailed image of the ice sheet bed deep in the interior of East Antarctica. Airborne geophysical methods were used to understand the fundamental structure shrouded beneath Dome A. Two twin Otter aircraft - one BAS, one United States Antarctic Program (USAP) - equipped with ice-sounding radars, laser ranging systems, gravity meters and magnetomemeters, operated from camps located on either side of Dome A.
description: Radar data and details on survey location and design are presented in Rose et al. (2013). Radar data collection by BAS used the PASIN radar echo sounding system (table 1 (Corr et al., 2007)). USAP data was collected using a 150-MHz system with bandwidths of 15 to 20 MHz (Bell et al, 2011). Data provided here includes picks of surface and ice sheet bed elevation. BAS flights include turns and transit flights, whereas USAP data is confined to line portions only. Small (a few minutes) time jumps are contained in a limited number of survey lines as a result of the re-booting of the PASIN system. Note in the database split by line the sections are defined as follows L= main survey grid lines, T=main survey tie lines, P=long transits, D=turns. Channel description: Basic Channels Date UTC date (YYYY/MM/DD) Time UTC time (HH:MM:SS.SS) FlightID Sequential flight number and survey ID e.g. W12 Line_name Line Number e.g. LW200.1 Lon Longitude WGS 1984 (note: longitudes go from 0 to 360 degrees) Lat Latitude WGS 1984 x x projected meters* y y projected meters* Height_WGS1984 Aircraft altitude (meters) in WGS 1984 Radar segy_name Radar_segy file name (BAS system). TraceNum Radar segy trace number (BAS system). PriNum Raw radar time (BAS system). surfPickLoc Location down trace of surface pick (BAS system). bedPickLoc Location down trace of bed elevation pick (BAS system). surfElev Surface elevation (m) bedElev Ice bed elevation, derived by subtracting tice from surfElev (m) tIce Ice thickness, derived from bedPickLoc and surfPickLoc (m). * Projected coordinates (x and y) are in Lambert conic conformal with two standard parallels defined as follows: Latitude of false origin: -80 Longitude of false origin: 80 Latitude of 1st standard parallel -83 Latitude of 2nd standard parallel -77 False easting 2000000 False northing 2000000
description: In total, 120, 000 line km of data were aquired from a nested survey grid with line spacing of 5km and tie lines ~ 33 km apart.
DOI: 10.5285/3adb739a-9eda-434d-9883-03ab092cabae
title: Processed bed elevation picks from airborne radar depth sounding across the Pine Island Glacier basin (2004/05 season)

description: During the austral summer of 2004/05 a collaborative US/UK field campaign undertook a systematic geophysical survey of the entire Amundsen Sea embayment using comparable airborne survey systems mounted in Twin Otter aircraft. Here we present the portion of the survey covering the Pine Island Glacier basin led by British Antarctic Survey. Operating from a temporary field camp (PNE, S 77deg34' W 095deg56'); we collected ~35,000 km of airborne survey data. Our aircraft was equipped with dual-8208;frequency carrier-phase GPS for navigation, radar altimeter for surface mapping, wing-tip magnetometers, gravity meter, and a new ice-sounding radar system (PASIN). We present here the bed elevation picks from airborne radar depth sounding collected using the BAS PASIN radar depth sounding system. Data are provided as XYZ ASCII line data.
description: Radar data and details of survey location and design are presented in Vaughan et al. (2006). Radar data were collected using the PASIN radar echo sounding system (table 1 (Corr et al., 2007)). Data provided here includes picks of surface and ice sheet bed elevation. Surface elevation is derived from radar altimeter for ground clearance &lt; 750 m, and the PASIN system for higher altitudes. Note in the database split by line the sections are defined as follows L= main survey grid lines, T=main survey grid lines, P=long transits, D=turns. Channel description: Basic Channels Date UTC date (YYYY/MM/DD) Time UTC time (HH:MM:SS.SS) FlightID Sequential flight number and survey ID e.g. W12 Line_name Line Number e.g. LW200.1 Lon Longitude WGS 1984 Lat Latitude WGS 1984 x x projected meters* y y projected meters* Height_WGS1984 Aircraft altitude (meters) in WGS 1984 Radar segy_name Radar_segy file name TraceNum Radar segy trace number PriNum Raw radar time surfPickLoc Location down trace of surface pick bedPickLoc Location down trace of bed elevation pick surfElev Surface elevation (m) bedElev Picked ice bed elevation (m) tIce Ice thickness, derived from bedPickLoc and surfPickLoc (m). * Projected coordinates (x and y) are in Polar Stereographic defined as follows: Latitude of natural origin: -71 Longitude of natural origin: 0 Scale factor at natural origin 0.994 False easting 0 False northing 2082760.109
DOI: 10.5285/4efa688e-7659-4cbf-a72f-facac5d63998
title: Airborne radar bed elevation along flow lines covering the Evans, and Rutford Ice Streams, and ice rises in the Ronne Ice Shelf (2006/07)

description: An airborne radar survey was flown as part of the GRADES-IMAGE project funded by BAS over the Evans Ice stream/Carson Inlet region mainly to image englacial layers and bedrock topography during the 2006/07 field season. Aeromagnetic data were also opportunistically collected. We present here the bed elevation picks from airborne radar depth sounding collected using the BAS PASIN radar depth sounding system. Data are provided as XYZ ASCII line data.
description: Radar data were collected using the PASIN radar echo sounding system. Data provided here includes picks of surface and ice sheet bed elevation. Note a single flight may contain data from two or more SEGY files, identified in the SEGYname channel. Surface elevation is derived from radar altimeter for ground clearance &lt; 750 m, and the PASIN system for higher altitudes. Channel description: Basic Channels Name Description Date UTC date (YYYY/MM/DD) Time UTC time (HH:MM:SS.SS) FlightID Sequential flight number and survey ID e.g. W12 Line_no Line Number e.g. LW200.1 Lon Longitude WGS 1984 Lat Latitude WGS 1984 x x projected meters* y y projected meters* Height_WGS1984 Aircraft altitude (meters) in WGS 1984 Radar segy_name Radar_segy file name (BAS system). TraceNum Radar segy trace number (BAS system). PriNum Raw radar time (BAS system). surfPickLoc Location down trace of surface pick (BAS system). bedPickLoc Location down trace of bed elevation pick (BAS system). surfElev Surface elevation bedElev Ice bed elevation, derived by subtracting tice from surfElev tIce Ice thickness, derived from bedPickLoc and surfPickLoc. *Projected coordinates (x and y) are in Polar Stereographic: Latitude of natural origin: -71 Longitude of natural origin: 0 Scale factor at natural origin: 0.994 False easting 0 False northing 2082760.109 Positions are calculated for the phase centre of the aircraft antenna. All positions (Lat, lon and height) are referred to the WGS1984 ellipsoid.
DOI: 10.5285/59e5a6f5-e67d-4a05-99af-30f656569401
title: Airborne radar bed elevation picks across the Wilkes Subglacial Basin, 2005-2006

description: This data set contains bed and surface elevation picks derived from airborne radar collected during the WISE/ISODYN project. This collaborative UK/Italian project collected ~ 61000 line km of new aerogeophysical data during the 2005/2006 austral summer, over the previously poorly surveyed Wilkes subglacial basin, Dome C, George V Land and Northern Victoria Land.
description: The standard deviation of the bed elevation for all crossover errors for the radar data is 33.3 m. However, this value is skewed by a few high error points in regions of more extreme topography. Over areas with smoother topography the standard deviation of the crossovers is ~10 m.

Resolution: The line spacing for the main survey area is 8.8km, with tie lines 44 km apart.  Additional regional lines explore specific targets. The along track sample spacing is 20 m.

            Radar data were collected using the PASIN radar echo sounding system (table 1 (Corr et al., 2007)). Data provided here includes picks and derived elevations of the ice sheet surface and bed. Bed reflections were picked from the radargram after unfocused synthetic aperture (SAR) processing. The bed reflector was picked in a semi-automated manner within the seismic processing package ProMax. An automatic first break picker was applied initially, with subsequent manual editing/removal of picks which appear unreasonable. The final sample spacing of the picked data is ~20 m. The surface elevation is derived from radar altimeter for ground clearance &lt; 750 m, and the PASIN system for higher altitudes. The absolute position and altitude of the aircraft is derived from differentially processed GPS data. The final bedrock channel was created from the picked bed elevation, and surface elevation where flights crossed rock outcrops, as defined in the Antarctic Digital Database (http://www.add.scar.org/) Version 6, downloaded February 2014. A bedrock elevation channel including BEDMAP2 data (Fretwell et al., 2013), where there is no other information about ice sheet bed elevation, is also included.
          
          The details of the Lambert projection used are:
          Latitude of false origin:       -74.018118
          Longitude of false origin:      179
          Latitude of 1st standard parallel:      -72.66666666667
          Latitude of 2nd standard parallel:       -75.33333333333
          False easting:  1444000
          False northing:  1123000
DOI: 10.5285/e88f651c-3389-4d99-8333-07872dceab57
title: Processed ice shelf base picks from airborne radar depth sounding across the Pine Island Glacier Ice Shelf (2010-2011)

description: In 2011, aerogeophysics data were acquired over Pine Island Glacier, West Antarctica on a grid comprising 30 transverse lines across the glacier, each around 20 km long, and with a spacing of roughly 500 m between the lines. The orientation of the lines was selected to be perpendicular to the surface features visible in satellite images in the central part of the ice shelf. Elevation of the ice‐surface directly beneath the aircraft was simultaneously measured using a nadir‐pointing laser altimeter. We present here the processed bed elevation picks from airborne radar depth sounding collected using the BAS PASIN radar system. Data are provided as XYZ ASCII line data.
description: Radar data and details of survey design and location are presented in Vaughan et al. (2012) and Dutrieux et al. (2013). Radar data were collected using the PASIN radar echo sounding system (table 1 (Corr et al., 2007)). Data provided here includes picks of surface and ice sheet bed elevation. Note a single flight may contain data from two or more SEGY files, identified in the SEGYname channel. Surface elevation is derived from radar altimeter for ground clearance &lt; 750 m, and the PASIN system for higher altitudes. Channel description: Basic Channels Name Description Date UTC date (YYYY/MM/DD) Time UTC time (HH:MM:SS.SS) FlightID Sequential flight number and survey ID e.g. W12 Line_no Line Number e.g. LW200.1 Lon Longitude WGS 1984 Lat Latitude WGS 1984 x x projected meters, coordinate system defined on location page y y projected meters, coordinate system, defined on location page Height_WGS1984 Aircraft altitude (meters) in WGS 1984 Radar segy_name Radar_segy file name (BAS system). TraceNum Radar segy trace number (BAS system). PriNum Raw radar time (BAS system). surfPickLoc Location down trace of surface pick (BAS system). bedPickLoc Location down trace of bed elevation pick (BAS system). surfElev Surface elevation bedElev Ice bed elevation, derived by subtracting tice from surfElev tIce Ice thickness, derived from bedPickLoc and surfPickLoc. *Projected coordinates (x and y) are in Polar Stereographic: Latitude of natural origin: -71 Longitude of natural origin: 0 Scale factor at natural origin: 0.994 False easting 0 False northing 2072760.109 Positioning for the PIG mouth survey used a dual-frequency carrier-phase GPS (Vaughan et al., 2012). Positions are calculated for the phase centre of the aircraft antenna. All positions (Lat, lon and height) are referred to the WGS1984 ellipsoid.
DOI: 10.15468/dl.dqdwrc
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Emys trinacris Fritz, Fattizzo, Guicking, Tripepi, Pennisi, Lenk, Joger & Wink, 2005"
 ]
}

 The dataset includes 32 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026571-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13602237
title: Super-Resolved SAR Data

description: Abstract

This dataset contains Super Resolved Synthetic Aperture Radar (SAR) images obtained using Cosmo-SkyMed data, covering the years 2014 to 2020. The images were created for monitoring illegal mining activities in Gumern, Austria. The dataset offers a high spatial resolution of 2.5 meters, achieved through advanced processing techniques, including patching and a half-band filter. The half-band filter was applied to enhance the resolution and reduce noise, making the dataset useful for detecting and analyzing changes over time. 

This depository contains data generated within the European S34 project. The data are in raw form and have not been further processed. Processed data are published in other depositories.

 






Identification





Full Title



 Super-Resolved SAR Data





Abstract



 This dataset contains Super Resolved SAR images from Cosmo-SkyMed, covering the years 2014 to 2020, focused on monitoring illegal mining in Gumern, Austria. With a high spatial resolution of 2.5 meters, achieved through patching and a half-band filter, the dataset is ideal for detecting and analyzing subtle changes in the region over time.





Keywords



 SAR, mine activity disturbances, change detection, mine monitoring, super resolution si artificial intelligence/ deep learning





Pilot area



 Gumern





Associated resources



 /





Language



 English





URL



 /





Categories



 /





Temporal reference





Creation date (dd.mm.yyyy)



 05/06/2024





Revision date (dd.mm.yyyy)



 05/06/2024





Quality and validity





Representation type



 Raster





Fromat



 .GeoTiff





Lineage



 /





Spatial resolution



 2.5





Positional accuracy



 /





Maintenance information



 /





Coordinate system



 WGS84





Constranits related to access and use





Use limitation



 Free





Access constraint



 None





Public/Private



 Public





Responsible organisation





Responsible Contact



 teodora.selea@gmv.com





Responsible Party



 GMV Innovating Solutions Romania





Metadata on metadata





Contact



 teodora.selea@gmv.com





Metadata language



 English
DOI: 10.15468/dl.naf7ge
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balaena physalus Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026572-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.13381678
title: Underwater hyperspectral data of Vigo survey fieldwork Sept. 2023 (Reflectance Converted)

description: Abstract

Reflectance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.

This depository contains data generated within the European S34 project.

Metadata Information






Identification





Full Title



Underwater hyperspectral data of Vigo survey fieldwork Sept 2023





Abstract



Reflectance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.





Keywords



Reflectance estimated underwater hyperspectral, UHI, seabed, mineral, sea region





Pilot area



Ria de Vigo





Associated resources



Report





Language



English





URL



/





Categories



Bio-geographical regions





Temporal reference





Creation date (dd.mm.yyyy)



30.11.2023





Revision date (dd.mm.yyyy)



30.11.2023





Quality and validity





Representation type



Other





Format



HDF5





Lineage



/





Spatial resolution



1.5m





Positional accuracy



/





Maintenance information



/





Coordinate system



EPSG 3035





Constranits related to access and use





Use limitation



/





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Ecotone AS, info@ecotone.com





Responsible Party



Ecotone AS





Metadata on metadata





Contact



Ecotone AS, info@ecotone.com





Metadata language



English
DOI: 10.5281/zenodo.13381679
title: Underwater hyperspectral data of Vigo survey fieldwork Sept. 2023 (Reflectance Converted)

description: Abstract

Reflectance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.

This depository contains data generated within the European S34 project.

Metadata Information






Identification





Full Title



Underwater hyperspectral data of Vigo survey fieldwork Sept 2023





Abstract



Reflectance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.





Keywords



Reflectance estimated underwater hyperspectral, UHI, seabed, mineral, sea region





Pilot area



Ria de Vigo





Associated resources



Report





Language



English





URL



/





Categories



Bio-geographical regions





Temporal reference





Creation date (dd.mm.yyyy)



30.11.2023





Revision date (dd.mm.yyyy)



30.11.2023





Quality and validity





Representation type



Other





Format



HDF5





Lineage



/





Spatial resolution



1.5m





Positional accuracy



/





Maintenance information



/





Coordinate system



EPSG 3035





Constranits related to access and use





Use limitation



/





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Ecotone AS, info@ecotone.com





Responsible Party



Ecotone AS





Metadata on metadata





Contact



Ecotone AS, info@ecotone.com





Metadata language



English
DOI: 10.15468/dl.7mchts
title: Occurrence Download

description: A dataset containing 20823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Bombycilla cedrorum Vieillot, 1808"
 ]
}

 The dataset includes 20823 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026574-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13381682
title: Underwater hyperspectral data of Vigo survey fieldwork Sept. 2023 (Radiance Converted)

description: Abstract

Radiance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.

This depositry contains data generated within the European S34 project.

Metadata Information






Identification





Full Title



Underwater hyperspectral data of Vigo survey fieldwork Sept 2023





Abstract



Radiance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.





Keywords



Radiance converted underwater hyperspectral image data, UHI, seabed, mineral, sea region





Pilot area



Ria de Vigo





Associated resources



Report





Language



English





URL



/





Categories



Bio-geographical regions





Temporal reference





Creation date (dd.mm.yyyy)



30.11.2023





Revision date (dd.mm.yyyy)



30.11.2023





Quality and validity





Representation type



Other





Format



HDF5





Lineage



/





Spatial resolution



1.5m





Positional accuracy



/





Maintenance information



/





Coordinate system



EPSG 3035





Constranits related to access and use





Use limitation



/





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Ecotone AS, info@ecotone.com





Responsible Party



Ecotone AS





Metadata on metadata





Contact



Ecotone AS, info@ecotone.com





Metadata language



English
DOI: 10.5281/zenodo.13381683
title: Underwater hyperspectral data of Vigo survey fieldwork Sept. 2023 (Radiance Converted)

description: Abstract

Radiance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.

This depositry contains data generated within the European S34 project.

Metadata Information






Identification





Full Title



Underwater hyperspectral data of Vigo survey fieldwork Sept 2023





Abstract



Radiance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.





Keywords



Radiance converted underwater hyperspectral image data, UHI, seabed, mineral, sea region





Pilot area



Ria de Vigo





Associated resources



Report





Language



English





URL



/





Categories



Bio-geographical regions





Temporal reference





Creation date (dd.mm.yyyy)



30.11.2023





Revision date (dd.mm.yyyy)



30.11.2023





Quality and validity





Representation type



Other





Format



HDF5





Lineage



/





Spatial resolution



1.5m





Positional accuracy



/





Maintenance information



/





Coordinate system



EPSG 3035





Constranits related to access and use





Use limitation



/





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Ecotone AS, info@ecotone.com





Responsible Party



Ecotone AS





Metadata on metadata





Contact



Ecotone AS, info@ecotone.com





Metadata language



English
DOI: 10.5517/ccdc.csd.cc2gnwdf
title: CCDC 2284185: Experimental Crystal Structure Determination

description: Related Article: Fuwei Gan, Guoli Zhang, Juncong Liang, Chengshuo Shen, Huibin Qiu|2024|Angew.Chem.,Int.Ed.|63|e202320076|doi:10.1002/anie.202320076
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gnwfg
title: CCDC 2284186: Experimental Crystal Structure Determination

description: Related Article: Fuwei Gan, Guoli Zhang, Juncong Liang, Chengshuo Shen, Huibin Qiu|2024|Angew.Chem.,Int.Ed.|63|e202320076|doi:10.1002/anie.202320076
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.