cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2t14tq0t
title: Soil water oxygen and hydrogen isotopes, Toolik Lake, Alaska, 2016

description: In this study we examine the ecophysiological consequences of different snow depth regimes in moist acidic tundra in the Alaskan Arctic, with a particular focus on the role of snowmelt water in plant ecophysiological processes. We paired regular measurements of leaf-level performance and tissue chemistry with an isotopic characterization of active layer water and xylem water to address the question: does snowmelt water play a critical role in driving tundra plant ecophysiology? We sampled soil water from the active layer throughout the growing season using Rhizon Soil Moisture Samplers (Eijkelkamp Agrisearch Equipment, Giesbeek, Netherlands). Samples were pulled from the full depth of the active layer in increments of 10cm, including the uppermost 10cm of the soil profile in tussocks , and analyzed for d18O and d2H with a Picarro L2130-i cavity ring down-spectrometer at the University of Alaska-Anchorage.
DOI: 10.18739/a2dr2p88z
title: Climate Data Record of Advanced Very High Resolution Radiometer (AVHRR) Polar Pathfinder (APP), 1982-Present

description: The AVHRR Polar Pathfinder (APP) product is a fundamental Climate Data Record (CDR) comprised of calibrated and navigated AVHRR channel data (reflectances and brightness temperatures), viewing and illumination geometry (sensor scan angle, solar zenith angle, and sun-sensor relative azimuth angle), Universal Coordinated Time (UTC) of the data acquisition, and a surface type mask. The data are twice daily composites of up to 23 orbits on a 5 km Equal-Area Scalable Earth (EASE)-Grid twice daily over both poles, the Arctic and Antarctic, from 1982 to the present. The daily APP composites are centered on local solar times of 14:00 (high sun, but could be nighttime for some polar areas in winter) and 04:00 for the Arctic or 02:00 for the Antarctic. The APP covers the north polar region (Arctic) from 48.4 degrees northward, and the south polar region (Antarctic) from -53.2 degrees southward.
DOI: 10.18739/a2jh3d317
title: Collaborative Research: Impact of Storm Activity on Recent Changes in Arctic Sea Ice Mass Balance

description: This project is to investigate impacts of changes in storm track dynamics on the recent rapid reduction in Arctic sea ice extent and volume. The increase of storm intensity and frequency result in enhanced high-frequency synoptic-scale variations and feedbacks in the Arctic climate system, and may make an integrative contribution to the basin-wide sea ice reduction. The project studies build upon previous work, and combine model simulations with satellite products and in situ observations to integrate and delineate physical causes of sea-ice mass balance changes in the context of storm-induced air-ice-sea interactions. This research will bridge synoptic-scale weather activities and large-scale climate variability and changes. The expected outcome includes assembled schematics linking storm-induced synoptic-scale variation with recently observed rapid loss of Arctic sea ice mass. Changes in sea ice concentration/extent, thickness/volume, and heat budget terms at the air-ice-sea interface that follow the motion of identified storms will be compiled.
DOI: 10.18739/a2930nv7f
title: Extended Advanced Very High Resolution Radiometer (AVHRR) Polar Pathfinder (APP-x), 1982-Present

description: The ongoing NOAA Climate Data Record of the extended AVHRR Polar Pathfinder (APP-x) cryosphere is a near real time monitoring of Arctic and Antarctic surface and atmospheric characteristics. They contain 19 geophysical variables over the Arctic and Antarctic for the period 1982 - present. All of them have undergone various degrees of validation, though not all are considered Climate Data Record (CDR) quality. The variables are (those considered by the developers to be CDR-quality are identified with an asterisk): Surface temperature, all-sky, snow, ice, and land* Surface albedo, all-sky* Sea ice thickness* Surface type Cloud mask* Cloud particle thermodynamic phase Cloud optical depth Cloud particle effective radius Cloud temperature Cloud pressure Cloud type Downwelling shortwave radiation at the surface* Downwelling longwave radiation at the surface* Upwelling shortwave radiation at the surface* Upwelling longwave radiation at the surface* Upwelling shortwave radiation at the top of the atmosphere (TOA)* Upwelling longwave radiation at the TOA* Shortwave cloud radiative forcing at the surface.
DOI: 10.18739/a2599z24n
title: Ice core vanillic acid and para-hydroxybenzoic acid concentrations, Akademii Nauk, Severnaya Zemlya archipelago, Russia, 2013-2015

description: Datasets of aromatic acids (vanillic and para-hydroxybenzoic acids) over the past 2600 years from Akademii Nauk ice core drilled on the Severnaya Zemlya archipelago in the Eurasian Arctic are included. The ice core was drilled from 1999-2001 (Fritzsche et al., 2002) to a depth of 723.91 m (Fritzsche et al., 2005). The datasets consist of depths, ages, and concentrations of these aromatic acids. The vanillic acid concentrations have an uncertainty of about 7%. The para-hydroxybenzoic acid measurements have an uncertainty of about 15%. The limits of detection of vanillic acid and para-hydroxybenzoic acid are 0.01 ppb and 0.05 ppb (by mass), respectively. The limit of detection is defined as 3x the standard deviation of MilliQ water blanks. The timescale used was developed by comparing high resolution multi-element continuous flow measurements of the Akademii Nauk ice core to other Arctic ice cores (following Sigl et al., 2013).
DOI: 10.18739/a21j9780w
title: The economic and socialcultural effects of developing cyber-infrastructure for global information storage in Iceland, 2014

description: The aim of this project was to map the impacts of information infrastructures (for example, data centers, internet exchanges, and fiber-optic cables). Though such networks are often described as immediate and immaterial, this research proposed that data transfer and storage actually have significant social, political, and ecological effects. Such impacts were investigated through fourteen months of ethnographic research (interviews and participant observation) in Reykjavík and Reykjanes, Iceland. A current hot spot for data center siting, doing research in Iceland offered an opportunity to study infrastructural development in motion, and investigate how it was promoted and perceived. Findings from this project are compiled in the dissertation: "Compromising Connections: Icelandic Information Infrastructure and the Making of Marginality"
DOI: 10.18739/a2ws8hm4d
title: Passive acoustic data from A2 in the Bering Strait, 2013-2014

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 65.78 N latitude and 168.568 W longitude. Data were recorded from 10 Hz - 8192 Hz (16 kHz sample rate) the first 10 minutes of each hour from July 2013-July 2014.
DOI: 10.18739/a2n873054
title: Water vapor isotopes, Thule, Greenland, 2016

description: Arctic ecosystems are changing in response to Arctic warming, which is proceeding more than twice as fast as the global average. The International Tundra Experiment was established in the early 1990s to understand the effects of warming and environmental variability on tundra vegetation properties and ecosystem function. This project provides valuable data to quantify the changes in vegetation and the importance of these changes on ecosystems.
 Water isotope ratios can help us understand Arctic hydrological changes. Here we present water vapor isotope ratio data collected from northern Greenland in the fall of 2016. The data set measures O-18 isotopes, 2-H isotopes, H2O concentration, and time of year. The O-18 ratio is useful for measuring the temperature of precipitation over time. The 2-H ratio is a valuable statistic of the fractionation processes in water or hydrocarbon based systems.
DOI: 10.18739/a2cv4bs05
title: Passive acoustic data from Davis Strait - C6, 2011-2013

description: Passive acoustic data from instruments on moorings across Davis Strait. The data for this instrument were collected at 67.1 N latitude and 56.7 W longitude. Data were recorded from 1 Hz - 2 kHz (5 kHz sample rate) the first 15 minutes of each hour from October 2011-September 2013.
DOI: 10.18739/a2hh6c62g
title: Passive acoustic data from A3 in the Bering Strait, 2012-2014

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 66.76 N latitude and 168.95 W longitude. Data were recorded from 10 Hz - 8192 Hz (16 kHz sample rate) the first 10 minutes of each hour from September 2012-May 2013 and July 2013-July 2014
DOI: 10.18739/a2833mz76
title: Passive acoustic data from Davis Strait - C1, 2011-2013

description: Passive acoustic data from instruments on moorings across Davis Strait. The data for this instrument were collected at 66.7 N latitude and 60.8 W longitude. Data are recorded from 1 Hz - 2 kHz (5 kHz sample rate) the first 15 minutes of each hour from October 2011-September 2013.
DOI: 10.18739/a24b2x53g
title: Passive acoustic data from A4W in the Bering Strait, 2012-2013

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 65.75 N latitude and 168.35 W longitude. Data were recorded from 10 Hz - 8192 Hz (16 kHz sample rate) the first 10 minutes of each hour from September 2012-May 2013.
DOI: 10.18739/a20k26b8m
title: Passive acoustic data from A2W in the Bering Strait, 2012-2013

description: Passive acoustic data from instruments on moorings in the Bering Strait region. The data for this instrument were collected at 65.8 N 168.8 W. Data were recorded from 10 Hz - 8192 Hz (16 kHz sample rate) the first 10 minutes of each hour from September 2012-May 2013.
DOI: 10.18419/darus-3884/1
title: evaluation.sh

description: bash script to run evaluation.py
DOI: 10.18419/darus-3884/2
title: model_swin.py

description: definition of the VisSalFormer model
DOI: 10.18419/darus-3884/3
title: evaluation.py

description: evaluation script to load VisSalFormer weights and make predictions
DOI: 10.18419/darus-3884/4
title: tokenizer_bert.py

description: tokenizer of Bert
DOI: 10.18419/darus-3884/5
title: dataset_new.py

description: dataloader for SalChartQA
DOI: 10.18419/darus-3884/6
title: env.py

description: python envorinment $TORCH_HOME and $TRANSFORMERS_CACHE
DOI: 10.18419/darus-3884/7
title: VisSalFormer_weights.tar

description: weights of VisSalFormer
DOI: 10.18419/darus-3884/8
title: SalChartQA.zip

description: The SalChartQA dataset, containing fixationByVis, image_questions.json, raw_img, saliency_all, saliency_ans and unified_approved.csv
DOI: 10.18419/darus-3884/9
title: README.md

description: Readme document
DOI: 10.18739/a2vt1gq37
title: Creating a multi-scalar measurement of adaptation to climate change in high latitude regions, Arctic Norway, Finland, Sweden, and northwestern Russia, 2015 - 2016

description: This project has furthered an understanding of what the rest of the world may soon be facing as a result of climate change. This was done by assessing adaptation in the context of development planning in high latitude rural communities by comparing data on recent economic change among a sample of municipalities to identify elements of local development
strategies that are associated with positive economic change in the local economy. Perceptions of climate change were then compared to historical, observed, and predicted changes. Specifically, municipalities included were parts of Norway, Sweden, Finland, and northwestern Russia lying above the Arctic Circle. Results indicate climate change is a significant factor 
in the municipalities surveyed but that impacts on local economies and societies vary drastically within the Arctic region. Coast-to-interior and north-to-south perspectives have highlighted these differences. By developing a climate change adaptation model, we highlight how various strategies have enhanced adaptive capacity by incorporating lived 
experiences and local knowledge into climate model projections.
DOI: 10.15468/dl.w7mag2
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Frangula rupestris (Scop.) Schur)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 192 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027705-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2r20rw9s
title: Temperature measurements from boreholes along the Alaskan Pipeline Project, 2014-2015

description: This dataset has data from boreholes that were part of the Alaska Pipeline Project (APP), TransCanada and ExxonMobil, that drilled over 120 boreholes in a transect from the Alaska / Canada border near Tok, AK to Prudhoe Bay, AK between 2009 and 2012. Rather than capping the boreholes they were donated to GIPL and we have been instrumenting a subset of them from July 1, 2014 - June 30, 2015. The boreholes are about 9 meters (30 feet) deep and span a wide range of vegetation types and permafrost conditions.
DOI: 10.18739/a2m90236x
title: Temperature measurements from boreholes along the Alaskan Pipeline Project, 2013-2014

description: This dataset has data from boreholes that were part of the Alaska Pipeline Project (APP), TransCanada and ExxonMobil, that drilled over 120 boreholes in a transect from the Alaska / Canada border near Tok, AK to Prudhoe Bay, AK between 2009 and 2012. Rather than capping the boreholes they were donated to GIPL and we have been instrumenting a subset of them from July 1, 2013 - June 30, 2014. The boreholes are about 9 meters (30 feet) deep and span a wide range of vegetation types and permafrost conditions.
DOI: 10.18739/a2gm81p42
title: Temperature measurements from boreholes along the Alaskan Pipeline Project, 2015-2016

description: This dataset has data from boreholes that were part of the Alaska Pipeline Project (APP), TransCanada and ExxonMobil, that drilled over 120 boreholes in a transect from the Alaska / Canada border near Tok, AK to Prudhoe Bay, AK between 2009 and 2012. Rather than capping the boreholes they were donated to GIPL and we have been instrumenting a subset of them from July 1, 2015 - June 30, 2016. The boreholes are about 9 meters (30 feet) deep and span a wide range of vegetation types and permafrost conditions.
DOI: 10.18739/a2736m27c
title: Coordination, Data Management and Enhancement of the International Arctic Buoy Programme [2013-2016]

description: This project is a renewal of the National Science Foundation (NSF) funding of the International Arctic Buoy Programme (IABP) through the U.S. Interagency Arctic Buoy Program (USIABP). The project will coordinate data management and deployment of enhanced buoys by the USIABP. The IABP provides long-term observations from the Arctic Ocean which are essential for Arctic forecasting and research. This project supports a network of automatic data buoys to monitor synoptic-scale fields of surface air pressure, air temperature, and ice motion throughout the Arctic Ocean, an activity that was recommended by the National Academy of Sciences in 1974. University of Washington s Applied Physics Laboratory (APL) initiated the program in 1978 and became the IABP in 1991 to provide meteorological and oceanographic data for real-time operational requirements and research purposes including support to the World Climate Research Programme and the World Weather Watch Programme. The observations from the IABP have been essential for: 1.) Monitoring Arctic and global climate change; 2.) Forecasting weather and sea ice conditions; 3.) Forcing, assimilation and validation of global weather and climate models; 4.) Validation of satellite data; etc. These observations provide the longest continuing record for the Arctic, and have been one of the cornerstones for environmental forecasting and studies of climate and climate change. The IABP is composed of 20 different research and operational institutions from 9 different countries (found at: http://iabp.apl.washington.edu/Participants.htm ). The IABP is funded and managed by participants of the program. Management of the IABP is the responsibility of the Executive Committee, and operation of the program was delegated to the Coordinator of the IABP, Ignatius Rigor.
DOI: 10.18739/a2bv79w1d
title: Coordination, Data Management and Enhancement of the International Arctic Buoy Programme [1979-2016]

description: This project is a renewal of the National Science Foundation (NSF) funding of the International Arctic Buoy Programme (IABP) through the U.S. Interagency Arctic Buoy Program (USIABP). The project will coordinate data management and deployment of enhanced buoys by the USIABP. The IABP provides long-term observations from the Arctic Ocean which are essential for Arctic forecasting and research. This project supports a network of automatic data buoys to monitor synoptic-scale fields of surface air pressure, air temperature, and ice motion throughout the Arctic Ocean, an activity that was recommended by the National Academy of Sciences in 1974. University of Washington s Applied Physics Laboratory (APL) initiated the program in 1978 and became the IABP in 1991 to provide meteorological and oceanographic data for real-time operational requirements and research purposes including support to the World Climate Research Programme and the World Weather Watch Programme. The observations from the IABP have been essential for: 1.) Monitoring Arctic and global climate change; 2.) Forecasting weather and sea ice conditions; 3.) Forcing, assimilation and validation of global weather and climate models; 4.) Validation of satellite data; etc. These observations provide the longest continuing record for the Arctic, and have been one of the cornerstones for environmental forecasting and studies of climate and climate change. The IABP is composed of 20 different research and operational institutions from 9 different countries (found at: http://iabp.apl.washington.edu/Participants.htm ). The IABP is funded and managed by participants of the program. Management of the IABP is the responsibility of the Executive Committee, and operation of the program was delegated to the Coordinator of the IABP, Ignatius Rigor.
DOI: 10.18739/a23b5w82r
title: International Arctic Buoy Programme D Dataset [2013-2016]: gridded sea ice velocity fields from buoys

description: This data set contains 12-hourly interpolated surface velocity data from buoys. 
 Point grid: Latitude 74N to 90N - 4 degree increment Longitude 0E to 320E - 20 and 40 degree increment. Note about derivative directions:
 The velocities and their derivatives are expressed with respect to a cartesian coordinate system. 
 With the origin at the North Pole, the x axis coincides with the Greenwich Meridian, and the y-axis with the 90E Meridian.
 The cartesion grid is a Polar Stereo projection of lat, lon onto an x,y grid in kilometers
DOI: 10.18739/a2zk55m74
title: International Arctic Buoy Programme AB Dataset [2013-2016]: 12-hourly gridded surface air pressure

description: Optimally interpolated atmospheric surface pressure over the Arctic Ocean Basin. Temporal format - twice daily (0Z and 12Z) Spatial format - 2 degree latitude x 10 degree longitude - latitude: 70 N - 90 N- longitude: 0 E - 350 E. 
 Note about derivative directions:
 The slp derivatives are expressed with respect to a cartesian coordinate system. With the origin at the North Pole, the x axis coincides with the Greenwich Meridian, and the y-axis with the 90E Meridian. 
 The cartesion grid is a Polar Stereo projection of lat, lon onto an x,y grid in kilometers.
DOI: 10.18739/a2tt4ft4g
title: International Arctic Buoy Programme C Dataset [2013-2016]: 12-Hourly positions from buoys

description: This data set contains Arctic Ocean daily buoy positions interpolated to hours 0Z and 12Z.
DOI: 10.18739/a2q23r11j
title: Coordination, Data Management and Enhancement of the International Arctic Buoy Programme [1979-2012]

description: This project is a renewal of the National Science Foundation (NSF) funding of the International Arctic Buoy Programme (IABP) through the U.S. Interagency Arctic Buoy Program (USIABP). The project will coordinate data management and deployment of enhanced buoys by the USIABP. The IABP provides long-term observations from the Arctic Ocean which are essential for Arctic forecasting and research. This project supports a network of automatic data buoys to monitor synoptic-scale fields of surface air pressure, air temperature, and ice motion throughout the Arctic Ocean, an activity that was recommended by the National Academy of Sciences in 1974. University of Washington s Applied Physics Laboratory (APL) initiated the program in 1978 and became the IABP in 1991 to provide meteorological and oceanographic data for real-time operational requirements and research purposes including support to the World Climate Research Programme and the World Weather Watch Programme. The observations from the IABP have been essential for: 1.) Monitoring Arctic and global climate change; 2.) Forecasting weather and sea ice conditions; 3.) Forcing, assimilation and validation of global weather and climate models; 4.) Validation of satellite data; etc. These observations provide the longest continuing record for the Arctic, and have been one of the cornerstones for environmental forecasting and studies of climate and climate change. The IABP is composed of 20 different research and operational institutions from 9 different countries (found at: http://iabp.apl.washington.edu/Participants.htm ). The IABP is funded and managed by participants of the program. Management of the IABP is the responsibility of the Executive Committee, and operation of the program was delegated to the Coordinator of the IABP, Ignatius Rigor.
DOI: 10.18739/a2kd1qk84
title: IABP AB Dataset: 12-Hourly Gridded Surface Air Pressure and Surface Temperature

description: Optimally interpolated atmospheric surface pressure over the Arctic Ocean Basin. Temporal format - twice daily (0Z and 12Z) Spatial format - 2 degree latitude x 10 degree longitude - latitude: 70 N - 90 N - longitude: 0 E - 350 E
DOI: 10.18739/a29w09014
title: Plot-level normalized difference vegetation index (NDVI)

description: Discrete measurements of plot-level NDVI collected at near weekly intervals throughout the 2012 - 2014 growing seasons.