cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2rb6w30t
title: Soil chemistry and characteristics measured for incubation of microbial communities in permafrost

description: This excel workbook contains sheets with data obtained from soil samples that were were collected from permafrost in the Arctic tundra. The samples were incubated and analyzed for soil chemistry and physical characteristics, and microbial biomass and gas production. Measurements are reported at time zero, before incubation, and at harvest, after incubation. Gas flux rates and cumulative production are reported. Data Citation: Ernakovich, J., Lynch, L., Schimel, J., and Wallenstein, M. (2014, Last updated 2014-07-14): Soil chemistry and characteristics measured for incubation of microbial communities in permafrost. UCAR/NCAR - CISL - ACADIS. Dataset. http://dx.doi.org/10.5065/D66M34S3
DOI: 10.5281/zenodo.14199026
title: Wadden Sea drifter trajectories 2023

description: Trajectories of twentyfour oceanic drifters deployed in the Wadden Sea just east of the island of Texel on 14 November 2023.

The drifters are so-called Stokes drifters, built by MetOcean in Canada. They are small, white, floating devices that are designed to follow the water motion in the Wadden Sea. The drifters are equipped with a GPS and a satellite transmitter, so that we can track their position in real time.

The data have not been cleaned for outliers. Note that transmission frequencies change during the trajectories (as indicated in the time variable).

An interactive visualisation of the drifters can be seen here.
DOI: 10.5281/zenodo.14199027
title: Wadden Sea drifter trajectories 2023

description: Trajectories of twentyfour oceanic drifters deployed in the Wadden Sea just east of the island of Texel on 14 November 2023.

The drifters are so-called Stokes drifters, built by MetOcean in Canada. They are small, white, floating devices that are designed to follow the water motion in the Wadden Sea. The drifters are equipped with a GPS and a satellite transmitter, so that we can track their position in real time.

The data have not been cleaned for outliers. Note that transmission frequencies change during the trajectories (as indicated in the time variable).

An interactive visualisation of the drifters can be seen here.
DOI: 10.15468/dl.ss3hy5
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ledermanniella letestui (Pellegr.) C.Cusset"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027733-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2mp4vn8w
title: Long-term measurements of nitrogen oxides at the GEOSummit station, Greenland

description: Pollution from fossil fuel combustion is often transported to the Arctic region from nearby continents resulting in an increase in greenhouse gases. The Arctic climate is particularly sensitive to the effects of greenhouse gases. The initial rise in temperature reduces ice cover, exposing the darker oceans below which absorb more radiation leading to further warming. Monitoring these pollutants in the Arctic is important to understand the changes that have occurred and the impact on the future climate. This project will provide long-term measurements of nitrogen oxides at the GEOSummit Station, Greenland. Polluted air from human activities and forest fires can contain relatively high levels of nitrogen oxides. When transported to the Arctic, these nitrogen oxides can foster the production of ozone, a significant greenhouse gas. The measurements will provide important information on the concentrations of nitrogen oxides transported to the Arctic, which vary both seasonally and annually and the resulting impact on Arctic ozone levels. The project will contribute to the Arctic Observing Network (AON) and the Study of Environmental Arctic Change (SEARCH). The data will be made available to researchers for studies to improve understanding of current impacts of transported pollution on greenhouse gas levels and estimates of climate change feedbacks within the Arctic. The data will also be utilized by educators for classroom teaching and support the training of new graduate students by providing a unique opportunity to further their research interests and educational growth in the field of atmospheric sciences, using state of the art technology.
DOI: 10.18739/a2gx44v5m
title: Flight path locations in Keyhole Markup Language (KML) format corresponding to radar echograms, Greenland, 2008.

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed several multichannel radar depth sounders in Greenland. This dataset contains data collected mostly around outlet glaciers in Greenland, including a large grid at Jakobshavn, with the specific purpose of improving understanding in this dynamic and fast changing part of the ice sheet. These KML files show the location of each data frame and data segment for the radar echograms in the dataset.
 Files are named according to the formats: Browse_Data_{$segment_id}.kml and Browse_{$season_id}.kml. Only a few data points are included to allow for quick download and browsing. There is one KML file per segment and then one KML with all segments (entire season). The per segment files contain information per frame and more data points. The season file contains information for each segment and fewer data points. More information can be found in “Readme.pdf”.
DOI: 10.18739/a2c53f216
title: Point-count cover of Carex ramenskii and Salix ovalifolia under warmed and grazed conditions. Yukon-Kuskokwim Delta, Alaska, 2015-2016

description: This dataset contains cover change data on a sedge and a shrub species in coastal region of the Yukon Kuskokwim Delta. Cover was measured as part of a factorial warming and herbivory experiment with a response surface vegetation removal design. These data were collected as a complementary study to an NSF funded project (PI: Beard) to determine the effects of a phenological mismatch between goose grazing and the initiation of the growing season. The study is a collaboration of researchers at University of Alaska Anchorage and Utah State University. The goal of this complementary project was to determine the effects of warming on a brackish moist meadow vegetation community, determine whether goose herbivory can mediate community shifts caused by warming, and quantify the importance of direct versus indirect effects of warming.
DOI: 10.5281/zenodo.14198920
title: North Sea drifter trajectories 2024

description: Trajectories of twelve oceanic drifters deployed in the Wadden Sea just north of the town of Moddergat on 25 April 2024.

The drifters are so-called Stokes drifters, built by MetOcean in Canada. They are small, white, floating devices that are designed to follow the water motion in the Wadden Sea. The drifters are equipped with a GPS and a satellite transmitter, so that we can track their position in real time.

The data have not been cleaned for outliers. Note that transmission frequencies change during the trajectories (as indicated in the time variable)

An interactive visualisation of the drifters can be seen here.
DOI: 10.5281/zenodo.14198921
title: North Sea drifter trajectories 2024

description: Trajectories of twelve oceanic drifters deployed in the Wadden Sea just north of the town of Moddergat on 25 April 2024.

The drifters are so-called Stokes drifters, built by MetOcean in Canada. They are small, white, floating devices that are designed to follow the water motion in the Wadden Sea. The drifters are equipped with a GPS and a satellite transmitter, so that we can track their position in real time.

The data have not been cleaned for outliers. Note that transmission frequencies change during the trajectories (as indicated in the time variable)

An interactive visualisation of the drifters can be seen here.
DOI: 10.18739/a27d2q77f
title: Multichannel radar depth sounding dataset, Greenland, 2008

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed several multichannel radar depth sounders in Greenland. This dataset contains data collected mostly around outlet glaciers in Greenland, including a large grid at Jakobshavn, with the specific purpose of improving understanding in this dynamic and fast changing part of the ice sheet.
DOI: 10.18739/a23n20f26
title: Images from focused synthetic aperture radar processing of echogram data with delay and sum antenna array processing, Greenland, 2008

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed several multichannel radar depth sounders in Greenland. This dataset contains data collected mostly around outlet glaciers in Greenland, including a large grid at Jakobshavn, with the specific purpose of improving understanding in this dynamic and fast changing part of the ice sheet. This product uses focused synthetic aperture array (SAR) processing to improve resolution in along-track. The array processing technique used to combine the multiple channels is based on the periodogram method also known as delay and sum beamforming. This product is a pdf file for convenient browsing of the imagery.
 Files are named according to the format: /{$segment_id}.pdf. The segment ID is YYYYMMDD_SS where YYYY is the 4-digit year (e.g. 2011), MM is the 2-digit month from 1 to 12, DD is the 2-digit day of the month from 1 to 31, and SS is the segment number from 0 to 99. For example, “20080627_05.pdf” contains data from segment 05 taken on 2008-06-27. More information can be found in “Readme.pdf”.
DOI: 10.18739/a2zw18s8p
title: Flight path locations in Keyhole Markup Language (KML) format corresponding to radar echograms, Greenland, 2009.

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed several multichannel radar depth sounders in Greenland. This dataset contains data collected mostly around outlet glaciers in Greenland, including dense grids around Jakobshavn, Helheim, and Kangerlussuaq glacier channels, with the specific purpose of improving understanding in this dynamic and fast changing part of the ice sheet. These KML files show the location of each data frame and data segment for the radar echograms in the dataset.
 Files are named according to the formats: Browse_Data_{$segment_id}.kml and Browse_{$season_id}.kml. Only a few data points are included to allow for quick download and browsing. There is one KML file per segment and then one KML with all segments (entire season). The per segment files contain information per frame and more data points. The season file contains information for each segment and fewer data points. More information can be found in “Readme.pdf”.
DOI: 10.18739/a2v40k05r
title: Images from focused synthetic aperture radar processing of echogram data with delay and sum antenna array processing, Greenland, 2009

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed several multichannel radar depth sounders in Greenland. This dataset contains data collected mostly around outlet glaciers in Greenland, including dense grids around Jakobshavn, Helheim, and Kangerlussuaq glacier channels, with the specific purpose of improving understanding in this dynamic and fast changing part of the ice sheet. This product uses focused synthetic aperture array (SAR) processing to improve resolution in along-track. The array processing technique used to combine the multiple channels is based on the periodogram method also known as delay and sum beamforming. This product is a pdf file for convenient browsing of the imagery.
 Files are named according to the format: /{$segment_id}.pdf. The segment ID is YYYYMMDD_SS where YYYY is the 4-digit year (e.g. 2011), MM is the 2-digit month from 1 to 12, DD is the 2-digit day of the month from 1 to 31, and SS is the segment number from 0 to 99. For example, “20080627_05.pdf” contains data from segment 05 taken on 2008-06-27. More information can be found in “Readme.pdf”.
DOI: 10.18739/a2qf8jk2d
title: Radar Depth Sounder echograms and ice thickness, Greenland, 2008-2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed radar depth sounders in Greenland. For the 2008 and 2009 seasons, several multichannel radar depth sounders were deployed around outlet glaciers in Greenland, with the specific purpose of improving understanding in this dynamic and fast changing part of the ice sheet. For the 2016 season, a near high frequency (33-37 MHz) radar depth sounder was deployed at Russell Glacier in Greenland to demonstrate the system. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder.
 The data sets contain geolocated radar echo strength profile images and ice thickness, ice surface, and ice bottom elevations taken with the CReSIS Radar Depth Sounders (RDS).
DOI: 10.18739/a2kp7tr94
title: High frequency (HF) radar depth sounding dataset, Greenland, 2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed a near high frequency (33-37 MHz) radar depth sounder in Greenland. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder. This dataset contains data collected at Russell Glacier in Greenland to demonstrate the system.
DOI: 10.18739/a2fx73z5c
title: Ice surface and ice bottom location information in Mathworks MATLAB format corresponding to radar echograms, Greenland, 2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed a near high frequency (33-37 MHz) radar depth sounder in Greenland. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder. This dataset contains data collected at Russell Glacier in Greenland to demonstrate the system. Using this radar dataset, various manual and semi-automated techniques are used to track the ice surface and ice bottom in the echogram data products. The ice surface and ice bottom are stored in Mathworks MATLAB format files. When the ice surface and ice bottom could not be tracked because the imagery was not good enough, the values are replaced with a not-a-number (“NaN”).
 Files are named according to the format: Data_{$frame_id}.mat. For each data frame there is a layer data file. This file contains the full layer information for the ice surface, ice bottom and any other layers that have been picked and is required by the image browser/layer picker. More information can be found in “Readme.pdf”.
DOI: 10.18739/a2b56d51z
title: Images from focused synthetic aperture radar processing of echogram data with delay and sum antenna array processing, Greenland, 2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed a near high frequency (33-37 MHz) radar depth sounder in Greenland. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder. This dataset contains data collected at Russell Glacier in Greenland to demonstrate the system. This product uses focused synthetic aperture array (SAR) processing to improve resolution in along-track. This product is a pdf file for convenient browsing of the imagery.
 Files are named according to the format: /{$segment_id}.pdf. The segment ID is YYYYMMDD_SS where YYYY is the 4-digit year (e.g. 2011), MM is the 2-digit month from 1 to 12, DD is the 2-digit day of the month from 1 to 31, and SS is the segment number from 0 to 99. For example, “20080627_05.pdf” contains data from segment 05 taken on 2008-06-27. More information can be found in “Readme.pdf”.
DOI: 10.18739/a26d5pb6q
title: Focused synthetic aperture radar processing of echogram data with delay and sum antenna array processing, Greenland, 2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed a near high frequency (33-37 MHz) radar depth sounder in Greenland. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder. This dataset contains data collected at Russell Glacier in Greenland to demonstrate the system. This product uses focused synthetic aperture array (SAR) processing to improve resolution in along-track. The array processing technique used to combine the multiple channels is based on the periodogram method also known as delay and sum beamforming. The data product format is a Mathworks MATLAB file.
 Files are named according to the format: Data{$image_id}_{$frame_id}.mat. The {$image_id} is a string which may be empty when it is a composite image or is of the form “img_II” where II is the 2-digit zero-padded image number always starting with 1 and incrementing from there. The frame ID is a concatenation of the segment ID and a frame number and follows the format YYYYMMDD_SS_FFF where FFF is the frame number from 000 to 999. For example, “Data_img_01_20080630_02_001.mat” contains data for image 01 from segment 02, frame 001, taken on 2008-06-30. More information can be found in “Readme.pdf”.
DOI: 10.18739/a22n4zj32
title: Unfocused synthetic aperture radar processing of echogram data, Greenland, 2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed a near high frequency (33-37 MHz) radar depth sounder in Greenland. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder. This dataset contains data collected at Russell Glacier in Greenland to demonstrate the system. This product uses unfocused synthetic aperture array (SAR) processing to improve resolution in along-track. The data product format is a Mathworks MATLAB file.
 Files are named according to the format: Data{$image_id}_{$frame_id}.mat. The {$image_id} is a string which may be empty when it is a composite image or is of the form “img_II” where II is the 2-digit zero-padded image number always starting with 1 and incrementing from there. The frame ID is a concatenation of the segment ID and a frame number and follows the format YYYYMMDD_SS_FFF where FFF is the frame number from 000 to 999. For example, “Data_20080627_05_001.mat” contains data for a composite image from segment 05, frame 001, taken on 2008-06-27. More information can be found in “Readme.pdf”.
DOI: 10.15468/dl.8qfksr
title: Occurrence Download

description: A dataset containing 1620731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is Branta canadensis (Linnaeus, 1758)",
 "Year 2010-2020"
 ]
}

 The dataset includes 1620731 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027725-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2xw47w9x
title: Flight path locations in Keyhole Markup Language (KML) format corresponding to radar echograms, Greenland, 2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed a near high frequency (33-37 MHz) radar depth sounder in Greenland. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder. This dataset contains data collected at Russell Glacier in Greenland to demonstrate the system. These KML files show the location of each data frame and data segment for the radar echograms in the dataset.
 Files are named according to the formats: Browse_Data_{$segment_id}.kml and Browse_{$season_id}.kml. Only a few data points are included to allow for quick download and browsing. There is one KML file per segment and then one KML with all segments (entire season). The per segment files contain information per frame and more data points. The season file contains information for each segment and fewer data points. More information can be found in “Readme.pdf”.
DOI: 10.18739/a2t727g6v
title: Ice surface and ice bottom location information in comma separated values (CSV) format corresponding to radar echograms, Greenland, 2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed a near high frequency (33-37 MHz) radar depth sounder in Greenland. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder. This dataset contains data collected at Russell Glacier in Greenland to demonstrate the system. Using this radar dataset, various manual and semi-automated techniques are used to track the ice surface and ice bottom in the echogram data products. The ice surface and ice bottom are stored in comma separated variable (CSV) format files. When the ice surface and ice bottom could not be tracked because the imagery was not good enough, the values are replaced with a not-a-number (“NaN”).
 Files are named according to the format: Data_{$frame_id}_HHmmss.csv. The frame ID is a concatenation of the segment ID and a frame number and follows the format YYYYMMDD_SS_FFF where FFF is the frame number from 000 to 999. HHmmss is the GPS time stamp for the first range line in the csv file where HH is 00-23 hours, mm is 00-59 minutes, and ss is 00-59 seconds. For example, “Data_20080627_05_001_164310.csv” contains data from segment 05, frame 001, and is from 2008-06-27 starting at 16:43:10.
 “2016_Greenland_G1XB.csv” contains all the individual frames from the whole season concatenated together. More information can be found in “Readme.pdf”.