cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2nc5sd14
title: Winter snow depth as a driver of microbial activity, nutrient cycling, tree growth and treeline advance in the Arctic

description: Overview:
 It has long been thought that temperature exerts a direct control on growth of treeline trees and the position of the treeline. However, our recent work in the Arctic with white spruce suggests that indirect effects of temperature on soil nutrient availability may be of equal or greater importance. We hypothesize that cold soils at the treeline, particularly during winter, limit microbial activity and nutrient availability to the point where trees are barely able to survive and grow. Measurements made during winter have revealed that Arctic forests maintain snowpacks that are much deeper than observed at treeline. Trees are thought to trap snow and lead to a deeper snowpack, insulating the soil from cold air and allowing for greater overwinter microbial activity and greater nutrient mineralization. Indeed, we found a strong positive correlation between white spruce growth and winter snow depth. We propose to isolate the mechanisms underlying this correlation by using snowfences to manipulate winter snow depth and fertilizer to increase soil nutrient availability at three treelines that differ in soil moisture. To provide an experimental test of the importance of temperature as a direct control on treeline tree growth, we propose to incorporate experimental shoot warming into our snowfence experiment in a factorial design. We predict that both experimental snow and nutrient additions will lead to large increases in microbial activity, photosynthesis, tree growth, seed quality, seed production, seedling establishment and recruitment of new trees. We expect to observe the greatest positive responses where soils are wet and cold. Meanwhile, we predict that shoot warming will lead to negligible changes in growth. This research will elucidate the relationship between snow depth and soil nutrient availability, and determine the relative importance of nutrient and temperature limitations at treeline to white spruce – a dominant member of the boreal forest and the northernmost tree species in North America.
 Intellectual Merit:
 The position of the Arctic treeline is an important regulator of surface energy budgets, carbon cycling and subsistence resources in high latitude environments. Our recent research provides correlative evidence of the importance of winter snow depth as a driver of tree growth. Here, we propose to experimentally isolate the importance of snow depth and soil nutrient availability and examine the consequences for microbial processes and tree performance. This is a novel proposal, as we aim to link microbial ecology with large-scale landscape patterns of relevance to regional and global climates. If our hypotheses are confirmed, our findings will contradict the prevailing theory of treeline causation, alter our predictions of where and when treelines may advance and necessitate revision of the many paleoclimate reconstructions based upon correlations between temperature and tree growth near the Arctic treeline.
DOI: 10.18739/a20k26c06
title: Aerial census of reindeer in Taimyr, Russia, 1992

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1969 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation and descriptions based on the approximate flight paths undertaken in July of 1969 reconstructed from the unpublished aerial census report and data log.
 The Taimyr Reindeer Migration Reanalysis (TAMARA) project is an integral part of the worldwide network of reindeer observation programs.
DOI: 10.71687/00044840
title: KMDs Sags- og Advissystem (1979-2010)

description: S og A-systemet er et effektivt værktøj til styring af forvaltningens personsager. S og A-systemet er i stor udstrækning afhængig af folkeregisterdata, der bl.a. anvendes til folkeregisteradvisering på grundlag af folkeregisterhændelser samt til visning af navn, adresse, civilstand og familiemæssige relationer m.m. på diverse skærmbilleder og printmateriale.

Indeholder:
S og A består af en basisdel med 2 delsystemer, der supplerer hinanden og effektivt udnytter de dataoplysninger, der tilgår eller i forvejen er registreret i kommunen, samt diverse services / tilkøbsmoduler, der supplerer basisdelens funktionalitet. 1. Sagsregistreringsdelen erstatter de manuelle registre over social- og sundhedsforvaltningens sager. Via skærmen kan sagsbehandleren få en aktuel oversigt over borgerens/familiens/bopælens samlede relationer til forvaltningen, samt en oversigt over borgerens aktuelle ydelser. 2. Adviseringsdelen giver dagligt information om folkeregisterhændelser samt andre hændelser, der har betydning for sagsbehandlingen. Følgende adviser er tilgængelige via skærm : · Sagsadvis · Forskudsadvis · Folkeregisteradvis · Adresseadvis · Advis vedr. opholdsgrundlag · Erindringsadvis · Advis om overskydende skat · Advis om start af sag i Arbejdsskadestyrelsen De daglige adviser kan tillige udskrives på lister direkte til den enkelte sagsbehandler eller afdeling. Der kan løbende rekvireres statistikker, udskrifter og andre servicefunktioner på alle registrerede oplysninger.
DOI: 10.18739/a2vt1gq6p
title: Aerial census of reindeer in Taimyr, Russia, 2003

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1969 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation and descriptions based on the approximate flight paths undertaken in July of 1969 reconstructed from the unpublished aerial census report and data log.
 The Taimyr Reindeer Migration Reanalysis (TAMARA) project is an integral part of the worldwide network of reindeer observation programs.
DOI: 10.18739/a2r49g951
title: Bering Strait Mooring Data 2018-2019

description: Data are available from the National Centers for Environmental Information (NCEI):
 https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:0210805
 https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:0210804
 This is an archive of data from moorings deployed in Bering Strait from summer 2018 to summer 2019. Mooring deployments were funded by the National Science Foundation (NSF) -Arctic Observing Network award PLR-1758565 (PIs: Woodgate and Peralta-Ferriz). The mooring work required 2 dedicated cruises:
 - in 2018 (10th - 19th August), a ~ 10 day cruise on the United States (US) vessel Norseman2 deployed the moorings. Some conductivity-temperature-depth (CTD) sections were run on this cruise, and those data are archived separately.
 - in 2019 (5th - 15th September), a ~ 11 day cruise on the US vessel
 For 2018 to 2019, a total of three moorings were deployed:
 - two moorings (A2 and A4) in the US channel of the strait,
 - one mooring (A3) at a site just north of the strait.
 For details of the measurements and their interpretation, please see:
 Woodgate, R.A., K.M.Stafford and F.G.Prahl (2015) A synthesis of year-round interdisciplinary mooring measurements in the Bering Strait (1990-2014) and the RUSALCA years (2004-2011), Oceanography 28(3):46-67, doi:10.5670/oceanog.2015.57 and
 Woodgate, R.A., 2018, Increases in the Pacific inflow to the Arctic from 1990 to 2015, and insights into seasonal trends and driving mechanisms from year-round Bering Strait mooring data, Progress in Oceanography, 160, 124-154, doi:10.1016/j.pocean.2017.12.007.
 Please use both 2015 and 2018 citations for these data.
 For an overview of cruises and project, please see:
 http://psc.apl.washington.edu/BeringStrait.html
DOI: 10.18739/a2mc8rh1w
title: Camden Bay Snow Depth Maps: Arctic National Wildlife Refuge, Alaska, 2018 and 2019

description: The potential for oil and gas operations in the Arctic National Wildlife Refuge has accelerated the need to be able to delineate current snow conditions andpredict future snow distributions. Such knowledge could prove essential for both planning and management of any resource development operations. Our research combined extensive measurements of snow depth on the ground with aerial photogrammetric mapping in April 2018 and again in April 2019, bothtimes near peak snow depth. Maps were calibrated and validated using thousands of ground depth measurements. The two snow depth maps hosted here represent two years of near peak snow depth from a swath in the Camden Bay area of the refuge. To produce the maps, we: (1) conducted an airborne survey (snow-free) in June that was used to produce a snow-free digital elevation model (DEM) for each swath, (2) conducted airborne surveys at near-peak snow cover each April that were used to create digital surface models (DSMs) of the snow cover, then (3) generated annual high resolution (1 meter(m)) snow depth maps by subtracting the snow-free DEM from the DSMs. Acquiring the snow-free DEM required careful timing because tundra plants leaf out before all snowdrifts melt. The snow depth maps were field-validated and adjusted using thousands of ground-based probe measurements collected concurrently with the airborne surveys. Maps are raster data GeoTIFF file formats where each pixel is one by one meter square.
DOI: 10.18739/a2599z26m
title: Reconstructions of mean-annual Greenland temperature and precipitation for the past 20,000 years and the ice-core records used to create the reconstructions 2020

description: This dataset provides mean-annual surface temperature and precipitation reconstructions for Greenland over the past 20,000 years and the proxy records used to create the reconstructions. For each reconstruction, ice-core records were assimilated with a transient climate simulation using the ensemble Kalman filter. The reconstructions differ by assumptions made during preparation of the ice-core records and parameters set in the assimilation process. The temperature values are anomalies with respect to the reference period, 1850-2000 CE, while the precipitation values are fractional precipitation rates with respect to the same reference period. The ice-core data was previously published except for the accumulation rate records from Dye3, Greenland Ice Core Project (GRIP), and North Greenland Ice Core Project (NGRIP). To extract the accumulation signal from layer-thickness, the layers were destrained using assumptions about the history of ice flow. Here, a one-dimensional ice-flow model was used to calculate the cumulative vertical strain the layers have experienced at each core site. Based on a range of plausible ice-flow parameters, three scenarios were developed for each site: 'low', 'moderate', and 'high', where the names reflect the relative magnitude of accumulation in the glacial and early Holocene. More information on both the reconstructions and the ice-core records is provided in the following paper: Badgeley, J. A., Steig, E. J., Hakim, G. J. and Fudge, T. J.: Greenland temperature and precipitation over the last 20,000 years using data assimilation, Climate of the Past, in press, 2020 (preprint: https://doi.org/10.5194/cp-2019-164). Please cite this paper if you use the climate reconstructions or the accumulation records for GRIP, NGRIP, or Dye3.
DOI: 10.18739/a2gm81p7h
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO3 from Canada’s Three Oceans (C3O) project on board the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier, Southern Chukchi Sea, 2015

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 Canada’s Three Oceans (C3O) project. Conductivity-Temperature-Depth (CTD) data were taken aboard the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier. During this cruise, data were taken along the established repeat hydrography transects, DBO3, DBO4 and DBO5. This submission includes CTD data from the DBO3 transect. There are 8 cnv (Copy Number Variation) data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.6084/m9.figshare.27637089.v2
title: Data for "<b>Microbial extracellular residues dominate long-term soil organic carbon storage</b>"

description: Data collected from field experiment (site geographic location, climate variables, soil properties and microbial Indices included) and microcosm experiment (soil respiration, mineral-associated organic carbon content and NanoSIMS data included)
DOI: 10.18739/a2bv79w3c
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO4 from Canada’s Three Oceans (C3O) project on board the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier, Northeast Chukchi Sea, 2014

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 Canada’s Three Oceans (C3O) project. Conductivity-Temperature-Depth (CTD) data were taken aboard the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier. During this cruise, data were taken along the established repeat hydrography transects, DBO3, and DBO4. This submission includes CTD data from the DBO4 transect. There are 11 cnv (Copy Number Variation) data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a2736m29b
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO3 from Canada’s Three Oceans (C3O) project on board the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier, Southern Chukchi Sea, 2014

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 Canada’s Three Oceans (C3O) project. Conductivity-Temperature-Depth (CTD) data were taken aboard the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier. During this cruise, data were taken along the established repeat hydrography transects, DBO3, and DBO4. This submission includes CTD data from the DBO3 transect. There are 8 cnv (Copy Number Variation) data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a23b5w856
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO6 on the USCGC (United States Coast Guard Cutter) Healy (HLY1402), Beaufort Sea, 2014

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 AON (Arctic Observing Network) project, headed by Robert Pickart (rpickart@whoi.edu). Conductivity-Temperature-Depth (CTD) data were taken aboard the USCGC (United States Coast Guard Cutter) Healy during HLY1402. During this cruise, data were taken along the established repeat hydrography transects, DBO6 and DBO6. This submission includes CTD data from the DBO6 transect. There are ten cnv (Copy Number Variation) data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a2zk55n1p
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO5 on the USCGC (United States Coast Guard Cutter) Healy (HLY1402), Chukchi Sea, 2014

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 AON (Arctic Observing Network) project, headed by Robert Pickart (rpickart@whoi.edu). Conductivity-Temperature-Depth (CTD) data were taken aboard the USCGC (United States Coast Guard Cutter) Healy during HLY1402. During this cruise, data were taken along the established repeat hydrography transects, DBO5 and DBO6. This submission includes CTD data from the DBO5 transect. There are ten cnv (Copy Number Variation) data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a2tx35695
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO4 from Canada’s Three Oceans (C3O) project on board the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier, Northeast Chukchi Sea, 2015

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 Canada’s Three Oceans (C3O) project. Conductivity-Temperature-Depth (CTD) data were taken aboard the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier. During this cruise, data were taken along the established repeat hydrography transects, DBO3, DBO4 and DBO5. This submission includes CTD data from the DBO4 transect. There are 11 cnv (Copy Number Variation) data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a2q52fd5b
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO5 from Canada’s Three Oceans (C3O) project on board the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier, Chukchi Sea, 2015

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 Canada’s Three Oceans (C3O) project. Conductivity-Temperature-Depth (CTD) data were taken aboard the CCGS (Canadian Coast Guard Ship) Sir Wilfrid Laurier. During this cruise, data were taken along the established repeat hydrography transects, DBO3, DBO4 and DBO5. This submission includes CTD data from the DBO5 transect. There are 10 cnv (Copy Number Variation) data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a2kd1qm16
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO6 from late season productivity, carbon, and nutrient dynamics, Beaufort Sea, 2016

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 Late Season Productivity, Carbon, and Nutrient Dynamics in a Changing Arctic project, headed by Laurie Juranek (ljuranek@coas.oregonstate.edu). Conductivity-Temperature-Depth (CTD) data were taken aboard the R/V Sikuliaq during SKQ201612S. During this cruise, data were taken along the established repeat hydrography transects, DBO6. This submission includes CTD data from the DBO6 transect. There are 17 cnv (Copy Number Variation) data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a2fn10s7t
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO1 from DBO-NCIS (Northern Chukchi Integrated. Study) on the USCGC (United States Coast Guard Cutter) Healy (HLY1702), Bering Sea, 2017

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 Distributed Biological Observatory – Northern Chukchi Integrated Study (DBO-NCIS) project, headed by Robert Pickart (rpickart@whoi.edu) and Jackie Grebmeier (jgrebmei@umces.edu). Conductivity-Temperature-Depth (CTD) data were taken aboard the USCGC Healy during HLY1702. During this cruise, data were taken along the established repeat hydrography transects, DBO1, DBO3, DBO4, and DBO5. This submission includes CTD data from the DBO1 transect. There are eight dcc data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a29w09033
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO3 from DBO-NCIS (Northern Chukchi Integrated. Study) on the USCGC (United States Coast Guard Cutter) Healy (HLY1702), Southern Chukchi Sea, 2017

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 Distributed Biological Observatory – Northern Chukchi Integrated Study (DBO-NCIS) project, headed by Robert Pickart (rpickart@whoi.edu) and Jackie Grebmeier (jgrebmei@umces.edu). Conductivity-Temperature-Depth (CTD) data were taken aboard the USCGC Healy during HLY1702. During this cruise, data were taken along the established repeat hydrography transects, DBO1, DBO3, DBO4, and DBO5. This submission includes CTD data from the DBO3 transect. There are nine dcc data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a2639k593
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO4 from DBO-NCIS (Northern Chukchi Integrated. Study) on the USCGC (United States Coast Guard Cutter) Healy (HLY1702), Northeast Chukchi Sea, 2017

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 Distributed Biological Observatory – Northern Chukchi Integrated Study (DBO-NCIS) project, headed by Robert Pickart (rpickart@whoi.edu) and Jackie Grebmeier (jgrebmei@umces.edu). Conductivity-Temperature-Depth (CTD) data were taken aboard the USCGC Healy during HLY1702. During this cruise, data were taken along the established repeat hydrography transects, DBO1, DBO3, DBO4, and DBO5. This submission includes CTD data from the DBO4 transect. There are 11 dcc data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a22b8vc6f
title: Distributed Biological Observatory (DBO) and Conductivity-Temperature-Depth (CTD) data along DBO5 from DBO-NCIS (Northern Chukchi Integrated Study) on the USCGC (United States Coast Guard Cutter) Healy (HLY1702), Chukchi Sea, 2017

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 Distributed Biological Observatory – Northern Chukchi Integrated Study (DBO-NCIS) project, headed by Robert Pickart (rpickart@whoi.edu) and Jackie Grebmeier (jgrebmei@umces.edu). Conductivity-Temperature-Depth (CTD) data were taken aboard the USCGC Healy during HLY1702. During this cruise, data were taken along the established repeat hydrography transects, DBO1, DBO3, DBO4, and DBO5. This submission includes CTD data from the DBO5 transect. There are 10 dcc () data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.