cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a27p8td9x
title: Photogrammetric scans of aerial photographs of North American glaciers, 1970

description: Introduction: 
 
 Between 1958 and 1999, Austin Post led the USGS collection of aerial imagery of North American glaciers. These images are primarily vertical stereo black and white images, although single oblique images, as well as color images have been collected. The glaciers of North America were the subjects, and the digital products made available here serve to document the changes that have occurred to the glaciers over the past 5 decades. The purpose of this project is to preserve the data contained within these film images in a digital format for future analysis of North American glacier change.
 
 Package Layout: 
 
 
 1. 
 
 The first level contains an overall data set of image metadata from 1964 - 1997 (nagapData.csv) and an R script (searchData.R) with instructions on how to search and subset the data. fileLayout.pdf shows the file structure and folder contents visually. There are also three kml files with flight path information by decade. 
 
 2. 
 
 The second level (this level) is the year in which the pictures were taken. There are 32 years with images from 1964 – 1997. The majority of these folders are jpegs with notes provided by Austin Post. They also contain a year-specific csv (YYYY.csv) that contains image metadata for the entire year (date, roll numbers, location name, longitude, latitude, altitude, media, and comments). The overall data set (nagapData.csv) is the aggregate of each individual “YYYY.csv” file. 
 
 3. 
 
 The glacier photos are located at the third level. The folders at this level are distinguished by camera roll number (1, 2, etc.), and image type (thumbnail, jpeg, or tif); some also contain fiducial and oblique image folders. This level primarily contains image files of aerial photos as either thumbnails, jpegs, or tifs. It also includes a csv with image metadata specific to each roll (date, roll numbers, location name, longitude, latitude, altitude, media, and comments), a text file (info.txt) with camera specifications unique to each image, and a text file (histo.txt) with color information unique to each image.
DOI: 10.6084/m9.figshare.27888873
title: Supplementary Table 1

description: Supplementary Table 1. Diagnostic codes of main thyroid disease
DOI: 10.6084/m9.figshare.27888873.v1
title: Supplementary Table 1

description: Supplementary Table 1. Diagnostic codes of main thyroid disease
DOI: 10.18739/a23x83m55
title: Photogrammetric scans of aerial photographs of North American glaciers, 1971

description: Introduction: 
 
 Between 1958 and 1999, Austin Post led the USGS collection of aerial imagery of North American glaciers. These images are primarily vertical stereo black and white images, although single oblique images, as well as color images have been collected. The glaciers of North America were the subjects, and the digital products made available here serve to document the changes that have occurred to the glaciers over the past 5 decades. The purpose of this project is to preserve the data contained within these film images in a digital format for future analysis of North American glacier change.
 
 Package Layout: 
 
 
 1. 
 
 The first level contains an overall data set of image metadata from 1964 - 1997 (nagapData.csv) and an R script (searchData.R) with instructions on how to search and subset the data. fileLayout.pdf shows the file structure and folder contents visually. There are also three kml files with flight path information by decade. 
 
 2. 
 
 The second level (this level) is the year in which the pictures were taken. There are 32 years with images from 1964 – 1997. The majority of these folders are jpegs with notes provided by Austin Post. They also contain a year-specific csv (YYYY.csv) that contains image metadata for the entire year (date, roll numbers, location name, longitude, latitude, altitude, media, and comments). The overall data set (nagapData.csv) is the aggregate of each individual “YYYY.csv” file. 
 
 3. 
 
 The glacier photos are located at the third level. The folders at this level are distinguished by camera roll number (1, 2, etc.), and image type (thumbnail, jpeg, or tif); some also contain fiducial and oblique image folders. This level primarily contains image files of aerial photos as either thumbnails, jpegs, or tifs. It also includes a csv with image metadata specific to each roll (date, roll numbers, location name, longitude, latitude, altitude, media, and comments), a text file (info.txt) with camera specifications unique to each image, and a text file (histo.txt) with color information unique to each image.
DOI: 10.18739/a20863623
title: Photogrammetric scans of aerial photographs of North American glaciers, 1972

description: Introduction: 
 
 Between 1958 and 1999, Austin Post led the USGS collection of aerial imagery of North American glaciers. These images are primarily vertical stereo black and white images, although single oblique images, as well as color images have been collected. The glaciers of North America were the subjects, and the digital products made available here serve to document the changes that have occurred to the glaciers over the past 5 decades. The purpose of this project is to preserve the data contained within these film images in a digital format for future analysis of North American glacier change.
 
 Package Layout: 
 
 
 1. 
 
 The first level contains an overall data set of image metadata from 1964 - 1997 (nagapData.csv) and an R script (searchData.R) with instructions on how to search and subset the data. fileLayout.pdf shows the file structure and folder contents visually. There are also three kml files with flight path information by decade. 
 
 2. 
 
 The second level (this level) is the year in which the pictures were taken. There are 32 years with images from 1964 – 1997. The majority of these folders are jpegs with notes provided by Austin Post. They also contain a year-specific csv (YYYY.csv) that contains image metadata for the entire year (date, roll numbers, location name, longitude, latitude, altitude, media, and comments). The overall data set (nagapData.csv) is the aggregate of each individual “YYYY.csv” file. 
 
 3. 
 
 The glacier photos are located at the third level. The folders at this level are distinguished by camera roll number (1, 2, etc.), and image type (thumbnail, jpeg, or tif); some also contain fiducial and oblique image folders. This level primarily contains image files of aerial photos as either thumbnails, jpegs, or tifs. It also includes a csv with image metadata specific to each roll (date, roll numbers, location name, longitude, latitude, altitude, media, and comments), a text file (info.txt) with camera specifications unique to each image, and a text file (histo.txt) with color information unique to each image.
DOI: 10.18739/a2vh5cj8k
title: Photogrammetric scans of aerial photographs of North American glaciers

description: Introduction: 
 
 Between 1958 and 1999, Austin Post led the USGS collection of aerial imagery of North American glaciers. These images are primarily vertical stereo black and white images, although single oblique images, as well as color images have been collected. The glaciers of North America were the subjects, and the digital products made available here serve to document the changes that have occurred to the glaciers over the past 5 decades. The purpose of this project is to preserve the data contained within these film images in a digital format for future analysis of North American glacier change.
 
 File Layout: 
 
 The first level (this level) contains an overall data set of image metadata from 1964 - 1997 (nagapData.csv), an R script (searchData.R) to subset and download images from this data package, and a README file with instructions for using searchData.R. fileLayout.pdf shows the file structure and folder contents visually. There are also three kml files with flight path information by decade. 
 The second level is the year in which the pictures were taken. There are 32 years with images from 1964 – 1997. The majority of these folders are jpegs with notes provided by Austin Post. They also contain a year-specific csv (YYYY.csv) that contains image metadata for the entire year (date, roll numbers, location name, longitude, latitude, altitude, media, and comments). The overall data set (nagapData.csv) is the aggregate of each individual “YYYY.csv” file. 
 The glacier photos are located at the third level. The folders at this level are distinguished by camera roll number (1, 2, etc.), and image type (thumbnail, jpeg, or tif); some also contain fiducial and oblique image folders. This level primarily contains image files of aerial photos as either thumbnails, jpegs, or tifs. It also includes a csv with image metadata specific to each roll (date, roll numbers, location name, longitude, latitude, altitude, media, and comments), a text file (info.txt) with camera specifications unique to each image, and a text file (histo.txt or matchReport.txt) with color information and scanner specifications unique to each image.
DOI: 10.18739/a2qr4nr4f
title: Hydroxyl (OH) airglow image data, Alaska, January 2012

description: Airglow image data of various emissions are stored in .png image format. The filename indicates the observation site (PFRR = Poker Flat Research Range), the observation time (year, month, day, hour, min, and sec) of image acquisition start, and finally the emission identifier follows (for example OH or Na). Please note that this data set is the RAW data and contain the entire set of images obtained during the project period. This include high, medium, and low quality image data. While we do not require co-authorship in publications using the data set, we encourage users to contact the PI to make sure the data has been interpreted correctly. Otherwise, standard scientific ethic is expected.
DOI: 10.18739/a2m03xz0m
title: Hydroxyl (OH) airglow image data, Alaska, March, 2012

description: Airglow image data of various emissions are stored in .png image format. The filename indicates the observation site (PFRR = Poker Flat Research Range), the observation time (year, month, day, hour, min, and sec) of image acquisition start, and finally the emission identifier follows (for example OH or Na). Please note that this data set is the RAW data and contain the entire set of images obtained during the project period. This include high, medium, and low quality image data. While we do not require co-authorship in publications using the data set, we encourage users to contact the PI to make sure the data has been interpreted correctly. Otherwise, standard scientific ethic is expected.
DOI: 10.18739/a2g73746n
title: Hydroxyl (OH) airglow image data, Alaska, 2012

description: Airglow image data of various emissions are stored in .png image format. The filename indicates the observation site (PFRR = Poker Flat Research Range), the observation time (year, month, day, hour, min, and sec) of image acquisition start, and finally the emission identifier follows (for example OH or Na). Please note that this data set is the RAW data and contain the entire set of images obtained during the project period. This include high, medium, and low quality image data. While we do not require co-authorship in publications using the data set, we encourage users to contact the PI to make sure the data has been interpreted correctly. Otherwise, standard scientific ethic is expected.
DOI: 10.18739/a2bg2hb30
title: Airglow Image Data

description: Airglow image data of various emissions are stored in .png image format. The filename indicates the observation site (PFRR = Poker Flat Research Range), the observation time (year, month, day, hour, min, and sec) of image acquisition start, and finally the emission identifier follows (for example OH or Na). Please note that this data set is the RAW data and contain the entire set of images obtained during the project period. This include high, medium, and low quality image data. While we do not require co-authorship in publications using the data set, we encourage users to contact the PI to make sure the data has been interpreted correctly. Otherwise, standard scientific ethic is expected.
DOI: 10.18739/a26q1sh97
title: Collaborative Research: An investigation of wave dynamics in the Arctic mesosphere and coupling between the lower and upper polar atmosphere

description: The research objective is to utilize a suite of instruments, including an airglow imager, to investigate short-period gravity waves in the Arctic atmosphere over Alaska. Short-period gravity waves are an important component of the larger atmospheric circulation as these waves are believed to transport a large amount of vertical moment flux into the mesosphere and lower thermosphere (MLT) region. While the propagation nature and sources of these waves have been studied extensively at low- and mid-latitudes, little is known about their behavior at high latitudes. Recent efforts have begun to characterize the waves over the Antarctic continent, while the project proposed here will focus on the Arctic. Specifically, the proposed research will establish a long-term winter time series of short-period gravity waves in the Arctic, including their dominant source regions, and influences of large-scale tidal and planetary wave motion. The co-located Rayleigh LIDAR will provide essential high vertical resolution temperature measurements to help elucidate the vertical wave propagation, individual wave contribution to the Eliassen-Palm (EP) flux, and coupling between the lower and upper atmosphere during stratospheric warming events.
DOI: 10.18739/a2319s36m
title: Asynchrony in the timing of goose-vegetation interactions: implications for biogeochemical cycling in wet sedge tundra Tutakoke River, Yukon Delta NWR, Alaska, 2014-2016

description: Data were collected from a three-year manipulative experiment investigating the interacting effects of changes in plant phenology and timing of goose grazing on subarctic graminoid grazing lawns in the Yukon Delta NWR, Alaska, USA. 
 Terrestrial high-latitude ecosystems are experiencing dramatic increases in temperature, changes in precipitation, and advancement of the growing season with important implications for trophic interactions. Uncoupling of the temporal relationships between migratory animals and the phenology of the forage they rely on for energy, nutrition, and rearing of young is one of the most glaring consequences of these changes. Furthermore, herbivores in high latitudes are likely to mediate biogeochemical responses to climate change substantially altering ecosystem function. However, little is known about how changes in the synchrony of herbivore-vegetation interactions will influence biogeochemical cycles.
 This research was conducted in the Yukon-Kuskokwim (Y-K) Delta in western Alaska, where there is strong evidence that climate change is driving temporal decoupling of the evolved linkage between the phenology of plants and the timing of goose migration. There is an urgency to the research because: 1) some of the most rapid climate changes in the world are underway in Alaska, leaving migratory geese and the ecosystem processes they influence vulnerable to new conditions, and 2) with the rapid advancement of the growing season, migratory goose feeding ecology is lagging substantially, threatening an irreplaceable subsistence resource for Native communities.
 The overall research objective is to quantify how an advancing growing season and changes in the synchrony of vegetation-goose interactions alter the magnitudes and patterns of C and N cycling in the YK Delta. Our specific research questions addressed with an experiment were: 1) How does the timing of plant growth interact with goose arrival time to alter summer-long magnitudes of plant production, foliar chemistry, and N availability? and 2) How does the timing of plant growth interact with goose arrival time to alter summer-long magnitudes of net ecosystem CO2 exchange, gross ecosystem photosynthesis, and ecosystem respiration?
DOI: 10.18739/a2th8bn8b
title: Chinese National Arctic Research Expedition (CHINARE)Conductivity-Temperature-Depth (CTD) data collected by the Xue Long, Barrow Canyon, Chukchi Sea, 2010

description: This data has been collected and submitted as part of the Distributed Biological Observatory (DBO) program. Data were originally collected as part of the CHINARE project, headed by He Jianfeng (hejianfeng@pric.org.cn). Conductivity-Temperature-Depth (CTD) data were taken aboard the MV Xue Long. During this cruise, data were taken along the established repeat hydrography transect, DBO5. This submission includes CTD data from the DBO5 transect. There are nine cnv data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a2pr7mv46
title: The Distributed Biological Observatory (DBO) Conductivity-Temperature-Depth (CTD) data from 2010

description: The Arctic is changing. The Distributed Biological Observatory studies these changes in the northern Bering and Chukchi seas. Investigators sample locations that are biologically important in U.S. territorial waters. These locations have been sampled annually since 2010. Other investigators also sample the same locations. As a result, the locations are sampled multiple times a year. Data are collected on environmental conditions including water column and sea floor animals that are food for whales, seals, and birds. Data are shared internationally. The project contributes to the U.S. National Ocean Policy and Interagency Arctic Research Policy Committee 5-year plan. The data will be of value to U.S. and international science and management agencies, private industry, and local communities as they try to understand changes to the environment. This data was collected in 2010.
DOI: 10.18739/a2k06x20s
title: Sap-flux measured transpiration for a mature larch forest in northeastern Siberia (VIPER project)

description: This data set includes measurements of sap-flux and associated environmental and biological variables required to derive measures of canopy transpiration and canopy stomatal conductance for a larch forest in northeastern Siberia. Data were collected annually for periods of 3-6 weeks during the growing season (June-August) from 2013-2015. Sap flux was measured in the same plants each year. A total of 17 sensors were used to measure 3 shrubs and 11 trees, where 3 trees where measured with two pair of sensors; one each on the north and south sides of each tree. Plants measured only once were instrumented on the north side. The data set includes raw sap-flux data, and also environmental data from the site, as well as R scripts to calculate whole-tree transpiration and stomatal conductance. The environmental data are included as separate files, and data on tree size including diameter at breast height, sapwood area, and leaf area are included in the script, with associated references where applicable.
DOI: 10.18739/a29k45t5k
title: UpTempO buoys deployed in 2015

description: Ice-based buoys exist that can measure temperature profiles, but these are not optimized for observing the open sea. Thus the objective of this proposal is to fill this gap in the Arctic Observing Network (AON) measurement strategy, i.e., to measure the time history of summer warming and subsequent fall cooling of the seasonally open water areas of the Arctic Ocean. The PIs will focus on those areas with the greatest ice retreat, i.e., the northern Beaufort, Chukchi, East Siberian, and Laptev Seas. Their method will be to build up to 10 relatively inexpensive ocean thermistor string buoys per year, to be deployed in the seasonally ice-free regions of the Arctic Ocean. The Arctic-ADOS (Autonomous Drifting Ocean Station) buoy will float at the ocean surface, equipped with (i) a sea level pressure sensor, (ii) a 50 m long string of 11 thermistors, and (iii) a high precision conductivity/temperature pair at 5 m depth on some buoys for thermistor calibration. Data will be recorded every 2 
hours and downloaded in near real time via Argos satellite to the web site of the International Arctic Buoy Program (IABP). Daily average and vertically interpolated data (to 1 m bins) will also be provided on the IABP website, and will be sent to data archives (Cooperative Arctic Data and Information Service-CADIS and National Oceanographic Data Center-NODC). The PIs will 
also work with scientists at mission-oriented agencies to better incorporate ocean surface data into their global products such as Sea Surface Temperature analyses. Real-time data will also be made available to the operational community via the Global Telecommunications System (GTS). 
Buoy deployment will use existing assets such as C130 aircraft coordinated by the National Ice Center (NIC), ship cruises planned as part of other projects, and springtime ice surveys conducted by other projects and/or by the U.S. Navy north of Alaska. Sponsor: 
University of Washington,
4333 Brooklyn Ave NE, Seatlle, WA 98195-9472 Funding Source: Arctic Observing Network (AON) Link to Data: 
http://psc.apl.washington.edu/UpTempO/Data.php
DOI: 10.18739/a25t3g11v
title: UpTempO: Measuring the Upper Layer Temperature of the Arctic Ocean

description: Ice-based buoys exist that can measure temperature profiles, but these are not optimized for observing the open sea. Thus the objective of this proposal is to fill this gap in the Arctic Observing Network (AON) measurement strategy, i.e., to measure the time history of summer warming and subsequent fall cooling of the seasonally open water areas of the Arctic Ocean. The PIs will focus on those areas with the greatest ice retreat, i.e., the northern Beaufort, Chukchi, East Siberian, and Laptev Seas. Their method will be to build up to 10 relatively inexpensive ocean thermistor string buoys per year, to be deployed in the seasonally ice-free regions of the Arctic Ocean. The Arctic-ADOS (Autonomous Drifting Ocean Station) buoy will float at the ocean surface, equipped with (i) a sea level pressure sensor, (ii) a 50 m long string of 11 thermistors, and (iii) a high precision conductivity/temperature pair at 5 m depth on some buoys for thermistor calibration. Data will be recorded every 2 hours and downloaded in near real time via Argos satellite to the web site of the International Arctic Buoy Program (IABP). Daily average and vertically interpolated data (to 1 m bins) will also be provided on the IABP website, and will be sent to data archives (Cooperative Arctic Data and Information Service-CADIS and National Oceanographic Data Center-NODC). The PIs will also work with scientists at mission-oriented agencies to better incorporate ocean surface data into their global products such as Sea Surface Temperature analyses. Real-time data will also be made available to the operational community via the Global Telecommunications System (GTS). Buoy deployment will use existing assets such as C130 aircraft coordinated by the National Ice Center (NIC), ship cruises planned as part of other projects, and springtime ice surveys conducted by other projects and/or by the U.S. Navy north of Alaska. Sponsor: University of Washington, 4333 Brooklyn Ave NE, Seatlle, WA 98195-9472 Funding Source: Arctic Observing Network (AON) Link to Data: http://psc.apl.washington.edu/UpTempO/Data.php