cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a26d5pd0q
title: Bias-Corrected Gridded Soil Temperatures (North of 30°N) Between 1982-2023 at 0.05° Resolution

description: ECMWF Reanalysis 5th Generation Land (ERA5-Land) and Famine Early Warning Systems Network Land Data Assimilation System (FLDAS) both provide gridded soil temperatures globally at a resolution of ~9 kilometers (km). However, ERA5-Land soil temperatures exhibit warm biases over permafrost regions, and a median Root Mean Squared Error (RMSE) of between 1.6 Kelvin (K) and 2.3K, while FLDAS exhibits cold biases, and a median RMSE of between 2.5K and 4.5K. Thus in an uncorrected form, their soil temperatures are unsuitable for permafrost applications, or as boundary conditions for hydrological models. Here we investigated the use of a hierarchy of bias-correction techniques including mean bias subtraction (MBS), multiple linear regression (MLR), and random forest regression (RF) to bias-correct ERA5-Land and FLDAS soil temperatures. The MLR and RF models incorporated 10 predictors including soil depth, soil temperatures, 2 meter (m) air temperatures and snow water equivalent (SWE) from the reanalysis product, Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI), the month of the year, as well as geospatial information such as elevation, latitude and longitude. MLR and RF models were used to predict the observed soil temperature for each grid cell, and metrics were compared against in-situ soil temperature measurements from 2686 stations. It was found that RF greatly outperformed MBS and MLR, providing an average RMSE reduction of between 46 percent (%) to 77% relative to the uncorrected product soil temperatures.
 This dataset accompanies Herrington, T., Erler, A. and Fletcher, C. (in Review), Theoretical and Applied Climatology. It includes two datasets of 0.05° bias-corrected gridded soil temperatures over the extratropical northern hemisphere for all land areas north of 30 degrees North (°N). The first dataset includes bias-corrected ERA5-Land soil temperatures for each of the Hydrology Tiled ECMWF Scheme for Surface Exchanges over Land (HTESSEL) model layers, between 1981-2023. The second dataset includes bias-corrected FLDAS soil temperatures for each of the Noah LSM model layers, between 1982-2023. The bias-correction utilizes random forest regression and 10 predictors including soil depth, the reanalysis soil temperature, sine and cosine transformations of the month of the year, the reanalysis air temperature, MODIS NDVI, reanalysis snow water equivalent (SWE), along with elevation, latitude and longitude.
DOI: 10.18739/a26m33577
title: Temperature data from Toolik Lake, Lake N2, Lake E1, Lake E5, and Lake E6, North Slope, Alaska (2010 - 2012)

description: Lakes are abundant in the terrestrial arctic, extending over about one quarter of the territory. For approximately nine months of the year, the waters of arctic lakes are under ice. Despite the duration of the ice-covered period, few studies have addressed the limnology (biological, chemical, and physical) features of these lakes during winter and how conditions under ice affects summer conditions and vice versa.
 Our research is being conducted in lakes studied by the Arctic Long Term Ecological Research (ARC LTER). The selected lakes are: Toolik Lake, Lake E1, Lake E5, Lake E6 and Lake N2. The Lakes range in size from 1 to 1500 hectares. We present here time series of water temperatures at several depths obtained from a taut-line mooring in different seasons (summer and winter) across multiple years (summer 2010 until spring 2012).
DOI: 10.18739/a26q1sj9p
title: Thermokarst-pond plant community characteristics and effects on ice-wedge degradation in the Prudhoe Bay region, Alaska (2021-2022)

description: This thesis was prepared by Emily Watson-Cook as part of a Master of Science degree in Biological Sciences at the University of Alaska Fairbanks. Ice-wedge thermokarst ponds are forming in many areas of the Arctic as a result of climate warming and infrastructure development. Previous research suggests that the development of aquatic vegetation within these ponds may play a protective role in the process of ice-wedge degradation by reducing pond-bottom temperatures and seasonal thaw depths. To evaluate the potential insulative role of aquatic vegetation on sediment temperatures and thaw, plant communities were characterized in 39 vegetation plots located in 29 thermokarst ponds of varying sizes and ages at two adjacent research sites in the Prudhoe Bay region of Alaska.
 Analyses grouped vegetation plots into three broad types: moss-dominated, forb-dominated, and sparsely vegetated. Vegetation cover, moss thickness, and organic layer thickness were all negatively correlated with thaw depth. While sediment temperature was only monitored over a five-week period from mid-July to late-August, vegetation cover was found to be negatively correlated with temperature. Most notably, results indicate that aquatic plant communities with high moss biomass have a high capacity for insulation that potentially reduces permafrost thaw and ice-wedge degradation, leading to ice-wedge stabilization. The study provides descriptions of relatively understudied aquatic plant communities that play an important role in permafrost landscape change.
DOI: 10.25442/hku.29145164.v1
title: raw data required for replication, grouped by observing locations

description: raw data required for replication, grouped by observing locations
DOI: 10.18739/a26w96b68
title: eXpendable Conductivity Temperature Depth (XCTD) profiles of temperature and salinity from Sermilik Fjord during August 2010

description: Four temperature and salinity profiles from Sermilik Fjord in Southeast Greenland. The profiles were collected using Sippican XCTD-1 eXpendable Conductivity Temperature Depth (XCTD) probes deployed from a helicopter. The profiles were collected on August 26 2010 in the ice mélange region of the Helheim Glacier/Sermilik Fjord system. The profiles were manually examined, quality controlled, and are provided as 2-meter (m) depth bin averaged profiles. The collection of these XCTD profiles was done concurrently with a shipboard survey of Sermilik Fjord from August 22 - 28 2010. The shipboard CTD data are provided separately. These data were collected as part of a long-term project to monitor Sermilik Fjord to determine what water masses flow into and out of the fjord; in particular, if warm, Atlantic water from the Irminger Sea penetrates into the fjord and how freshwater from ice melt is diluted and transported out of the fjord. Observations have been collected in the fjord since 2008.
DOI: 10.18739/a2707wq62
title: Water temperature, salinity, and velocity from Overturning in the Subpolar North Atlantic Program (OSNAP) East moorings CF1 - CF7 in the Irminger Sea from July 2020 to August 2022

description: This dataset contains water temperature, salinity, and velocity observations from Overturning in the Subpolar North Atlantic Program (OSNAP) moorings CF1 - CF7 in the Irminger Sea. OSNAP is an NSF-funded project to measure the full depth, basin-wide overturning circulation and associated transport of heat and freshwater in the Subpolar North Atlantic (www.o-snap.org). These data come from a series of seven sub-surface moorings deployed along the continental shelf and slope southeast of Greenland near 60 degrees North. This dataset contains data from the Cape Farewell array collected over July 2020 to August 2022. The data sets are time series of pressure, temperature, salinity, and currents and have been fully processed, calibrated, and quality controlled.
DOI: 10.5281/zenodo.15580718
title: 증명 업적
DOI: 10.5281/zenodo.15580719
title: 증명 업적
DOI: 10.18739/a27659h6n
title: Turbulence data from conductivity, temperature, and depth (CTD)-chipods on Joint Ocean Ice Study (JOIS2014) in 2014

description: This is a turbulence dataset collected from conductivity, temperature, and depth (CTD)-chipods, a turbulence package mounted on the CTD rosette during a Joint Ice Ocean Study cruise in 2014. The CTD stations spanned 15 casts north of Alaska, USA in the Canada Basin. Data are processed using a MATLAB software developed by the Ocean Mixing Group at Oregon State University to clean wake contamination and produce turbulence estimates. Data provided include the dissipation of temperature variance (chi) and the eddy diffusivity of temperature (Kt). Quantities are provided on a 2-meter (m) grid on the descent and ascent of the rosette. These turbulence data are meant to help diagnose and quantify heat exchanges between water masses in the subsurface and with the atmosphere.
DOI: 10.18739/a27940w51
title: Crocus-ERA5 daily snow product over the Northern Hemisphere at 0.25 degree resolution

description: The Crocus-ERA5 daily snow product is derived from the complex snow scheme Crocus coupled to the ISBA (Interactions between Soil–Biosphere–Atmosphere) land surface model (Brun et al., 2013) and embedded into the SURFEX numerical platform (https://www.umr-cnrm.fr/surfex/). The model is driven by a meteorological forcing (temperature, precipitation, humidity, winds, etc) derived from the ERA5 global atmospheric reanalysis (https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5). This product only concerns open field snowpack, i.e. only low vegetation is modeled (no forest). It covers the entire Northern Hemisphere at 0.25° resolution over the 1950-07-01 to 2023-06-30 period. All snow characteristics (see later) are available at a dailly frequency. This product is the successor of the Crocus-ERA-Interim daily snow product (Decharme, 2024). It is used by the NOAA Artic Report Card from 2021 to present for the annual survey of the Terrestrial Snow Cover anomalies over the Northern Hemisphere. An evaluation of the snow water equivalent product can be found in Mudryk et al. (2024) where it is compared to observations and to about twenty alternative datasets.
DOI: 10.18739/a27h1dp57
title: CTD casts (temperature, salinity, oxygen, fluorescence, turbidity, SUNA Nitrate), and nutrient bottle samples collected from Norseman II in Bering Strait, Southern Chukchi Sea, and Northern Bering Sea from 2024-09-08 to 2024-09-18

description: This is an archive of CTD data from the 2024 Bering Strait mooring cruise.
 The cruise was funded by the NSF-Arctic Observing Network grants:
 - PLR-2153942 (PIs: Woodgate and Peralta-Ferriz).
 The data are from a ~ 11 day cruise
 - on the US vessel Norseman II
 - from 8th-18th July 2024
 - sailing from and to Nome, Alaska, USA
 - to the Bering Strait and southern Chukchi Sea.
 The cruise was also to service oceanographic moorings in the strait and those data are archived separately.
DOI: 10.18739/a27p8tg0g
title: Alaska Permafrost Soils Inventory and Thermokarst Monitoring Database 2024 Update

description: This database contains data on site, soil stratigraphy, soil physical and chemical properties, Carbon-14 (C14) and stable isotope, and vegetation composition and structure acquired from permafrost soil surveys and thermokarst monitoring sites. The data are from projects that we have conducted, as well as data compiled from numerous other project and reports, that have emphasized the study of the intermediate layer of upper permafrost and the dynamic responses of permafrost to environmental conditions. This 2024 update includes data from our recent National Science Foundation (NSF)-funded project on the upper permafrost. The Access Database has 11 main data tables (tbl_) for site (environmental), soil stratigraphy, soil physical data, soil chemical data, water Oxygen-18 (O18), soil radiocarbon dates, vegetation cover, vegetation structure, study areas, personnel, and project data sources. The Site data includes information of location, observers, geomorphology, topography, hydrology, soil summary characteristics, pH and electrical conductivity (EC), soil classification, and vegetation cover by species. Soil stratigrapy has information on soil texture and ground ice. Soil physical and chemical data includes lab data on bulk density, moisture, carbon, and nitrogen. The database has 42 reference tables (REF_) that have codes and descriptions for variables used in site, soil stratigraphy, and vegetation cover tables. Query tables (qry_) are used to link data tables and reference tables to display data with names instead of codes. In addition to the permafrost soils information, the Site data includes topographic survey control and other monitoring information for repeat monitoring of thermokarst study areas. Some sites have repeat sampling so there can be more than one record per site. As of end of 2024, there were 3412 records in the Site table, including 2728 sites with soils data and 1208 with permafrost data (some sites have multiple records from repeat sampling). This database is a work in progress, is incomplete, and has not undergone complete and universal quality checks, so user should do additional review before using.
DOI: 10.18739/a27s7hv29
title: Observations in ice-rich permafrost systems, Prudhoe Bay Alaska, 2020-21 (AGC Data Report 22-01)

description: The NNA Track 1 project Landscape evolution and adapting to change in ice-rich permafrost systems (NNA-IRPS) is investigating how climate change and infrastructure affect ice-rich permafrost systems (IRPS); the roles ecosystems play in the development and degradation of IRP; and how people and infrastructure can adapt to changes in IRPS. NNA-IRPS research at the Prudhoe Bay Oilfield (PBO), Alaska, is focused on (1) how differences in vegetation, soils, water, and time influence the accumulation and degradation of ground ice in IRP landscapes; and (2) how the loss of ground ice can radically change these landscapes, their components, and the infrastructure built on them. This data report covers data and preliminary analysis from the 2020 and 2021 field seasons at Prudhoe Bay research sites including overviews of the tasks, field team, schedule, and logistics for each year, followed by summaries of research methods and results by team members: (1) remote sensing activities (Daanen and Jones); (2) observations along research transects (Walker et al.); (3) observations from terrestrial vegetation plots (Walker and Breen); (4) thermokarst-pond vegetation and environments (Watson-Cook); (5) trace-gas fluxes (Kade); (6) basal peat dating (Bergstedt), (7) permafrost borehole temperature stations (Nicolsky and Romanovsky); and (8) permafrost cryostructure (Kanevskiy and Shur). Data tables are grouped into seven appendices in this PDF volume and area also archived as separate datasets for each field season in the Arctic Data Center.
DOI: 10.18739/a2804xm88
title: Sub-ice sediment cosmogenic data Camp Century, Northwest Greenland, 1966 & 2022-2025

description: This data file contains the cosmogenic beryllium-10 (10Be), aluminum-26 (26Al), and chlorine-36 (36Cl) data from the frozen sediments underneath the Camp Century ice, produced at the Cosmogenic Nuclide Laboratory of the Lamont-Doherty Earth Observatory within National Science Foundation (NSF) Award 2114634 ('Collaborative Research: A fossil ecosystem under the ice: deciphering the glacialand vegetation history of northwest Greenland using long-lost Camp Century basal sediment'). These data help understanding the complexity of the 3 meters (m) of frozen sediment underneath the Camp Century ice core, and adds constraints to the question of past stability of this sector of the Greenland Ice Sheet. We have processed relatively small sub-samples we received from the University of Vermont team (lead PI Paul Bierman), by separating and de-contaminating quartz and feldspar, and measuring the cosmogenic isotopes listed above down the frozen sediment column. These important and complex data are currently prepared for publication under the lead of Lamont postdoc Joanna Charton.
DOI: 10.15468/dl.vwsym5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tiliqua rugosa (Gray, 1825))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016834-250525065834625/datasets/export for details.
DOI: 10.18739/a2833n11m
title: CAMS global biomass burning emissions based on fire radiative power (GFAS)

description: Emissions of atmospheric pollutants from biomass burning and vegetation fires are key drivers of the evolution of atmospheric composition, with a high degree of spatial and temporal variability, and an accurate representation of them in models is essential.
 The CAMS Global Fire Assimilation System (GFAS) utilises satellite observations of fire radiative power (FRP) to provide near-real-time information on the location, relative intensity and estimated emissions from biomass burning and vegetation fires. Emissions are estimated by (i) conversion of FRP observations to the dry matter (DM) consumed by the fire, and (ii) application of emission factors to DM for different biomes, based on field and laboratory studies in the scientific literature, to estimate the emissions. Emissions estimates for 40 pyrogenic species are available from GFAS, including aerosols, reactive gases and greenhouse gases, on a regular grid with a spatial resolution of 0.1 degrees longitude by 0.1 degrees latitude.
DOI: 10.15468/dl.jxemuj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tiliqua rugosa (Gray, 1825))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016835-250525065834625/datasets/export for details.
DOI: 10.18739/a2833n123
title: Alexandrium catenella resting cyst distribution in surface sediments of the northern Bering, Chukchi and Beaufort seas (2020-2022)

description: Warming temperatures and seasonal reductions in sea ice coverage and thickness are driving the emergence of harmful algal blooms as a significant concern for the Pacific Arctic region. Large-scale blooms of the toxic dinoflagellate Alexandrium catenella have been observed in recent years, and paralytic shellfish toxins produced by these blooms have been detected widely in regional food webs. Alexandrium is a meroplanktonic species which overwinters in a resting cyst stage, accumulations of these resting cysts in the benthos can provide an inoculum for future blooms. Massive accumulations of cysts, or cyst beds, have been previously identified on the Chukchi Shelf, and continued observation and mapping of these cyst beds is an important component in understanding regional Harmful Algal Bloom (HAB) dynamics. This dataset (Alexandrium_BenthicCysts_PacificArctic_2020_2022.csv) compiles Alexandrium cyst abundance measurements across several cruises from 2020-2022, covering locations in the Northern Bering, Chukchi and Beaufort seas.
DOI: 10.18739/a28911s77
title: MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061

description: The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MYD13A1) Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value.
 Provided along with the vegetation layers and two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.
DOI: 10.18739/a28c9r60n
title: Arctic Radium Isotope Observing Network (ARION) 2023 - radium, water isotopes, and salinity along Laptev & East Siberian Sea margins

description: Radium isotopes are continuously produced at ocean boundaries and are soluble in seawater. Radium therefore serves as an analogue for similarly sourced shelf-derived materials, including biologically important elements such as carbon, nutrients, and trace metals. To test the hypothesis that climate change is leading to increased delivery of terrestrially-derived solutes to the Arctic Ocean, radium levels are measured on bi-annual cruises along the Laptev and East Siberian Sea margins (to capture interannual changes) and on a first-of-its kind in situ radium isotope sampler (to capture seasonal changes). These sampling efforts are complemented by an international network of collaborators that will contribute data to create an Arctic Radium Isotope Observing Network (ARION) that spans the Arctic Ocean and will serve the greater scientific community.
 This dataset contains the (1) results of the water column measurements made on the second ARION cruise, which took place in August-October 2023 along the slopes of the East Siberian and Laptev Seas in collaboration with the Nansen and Amundsen Basin Observational Systems (NABOS) program, and (2) results from two moored radium in situ samplers (MoRIS) deployed on the Laptev and East Siberian Slopes from 2021-2023. Parameters measured include radium-228, radium-226, oxygen-18, deuterium, salinity, and barium.