cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a25h7bv1c
title: A survey of 2015 Alaska seaplane operations with predictions of transmission risk for aquatic invasive plants.

description: The main purpose of the survey was to establish the risk domain for introducing Elodea spp., an aquatic invasive species, by identifying unique seaplane destinations, flight origin, and annual flight frequency. We designed an electronic mapping tool programmed in JavaScript and using Mapbox Outdoors general-purpose maps (see Figure). The mapping tool enabled precise identification of flying destinations while avoiding spatial ambiguity. We first asked pilots to tell us their home base and then mark their 2015 first-leg freshwater destinations using the mapping tool. Once respondents placed the electronic marker, a pop-up menu asked the pilot to state the 2015 annual flights to the marked destination from their home base using the following intervals: less than 10, 10–25, 25–50, 50–75, 75–100, and more than 100 (Schwoerer et al., 2019). Our targeted population included pilots who flew seaplanes in Alaska in 2015, excluding Southeast Alaska. The sampling considered three pilot groups consisting of pilots who fly seaplanes for personal reasons, commercially, and for the government. We use a hierarchical Bayesian probability model to estimate transmission risk and associated uncertainty for each of 727 seaplane destinations that survey respondents identified.
DOI: 10.18739/a21r6n171
title: Landscape Scale Snow Depth Maps: Brooks Range Foothills, Alaska, 2012-2018

description: list("Snow is a crucial resource for billions of people on Earth. We proposed a study of snow drifts. Drifts can comprise more than half of the local snow water equivalent (SWE) and play a large and widely overlooked role in snow hydrology. They melt slowly, resulting in a crucial shift in the timing of water delivery that syncs snow melt directly to agricultural and ecosystem needs, yet we know little about drifts on either local or global scales. The overall goal of the research was to better understand the role and importance of snow drifts in hydrology. Using lidar and structure-from-motion (SfM) photogrammetry, we conducted an airborne study of drifts coupled with extensive ground validation in search of preliminary answers to questions on the importance of drifts and the percentage of SWE found in drifts in a variety of terrain types.", 
 "The snow depth maps hosted here represent six years of drift records from northern Alaska and enable the analysis of the relationships between drifts and the surrounding snowcover and the landscape below, as well as drift persistence over time.", "Snow depth mapping was done using airborne SfM photogrammetry (2015 through 2018) and lidar (2012 and 2013) and then adjusted to ground-based probe measurements of snow depth. The area mapped each year over two swaths was about 130 kilometer squared (km^2). 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 m) snow depth maps by subtracting the snow-free DEM from the DSMs. Six such depth maps were produced for each swath between 2012 and 2018, comprising over 600 million individual geospatial snow depth records. 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 141,207 ground-based probe measurements collected concurrently with the airborne surveys.", 
 "There are twelve (12) snow depth raster maps deposited here. Each map represents the near-peak annual snow depth across a swath of Arctic tundra. There are two swaths: CLPX (a zone that was part of a Cold Land Experimental Site - a NASA snow measurement program that rotates through several different field areas) and HV (Happy Valley). Map years include 2012, 2013, 2015, 2016, 2017, and 2018. Maps are raster data GeoTIFF file formats where each pixel is one by one meter square. The file naming convention is *swath*_depth_*DOY*_*YYYY*_corrected_*correction_amount*.tif.")
DOI: 10.18739/a2r785p9t
title: Washington Land, Petermann Glacier, Greenland, Late Pleistocene to Holocene Beryllium-10 Moraine Ages, 2015 -2018

description: Terrestrial chronologies from southern Greenland provide a detailed deglacial history of the Greenland Ice Sheet (GIS). The northern GIS margin history, however, is less established. Here we present surface exposure ages from moraines associated with two large outlet glaciers, Petermann and Humboldt, in the northwestern sector of the GIS. The research took place from 2015 to 2018. These moraine chronologies indicate a Little Ice Age advance of the ice sheet margin before ~0.3 kiloannum (ka) and a possible equivalent advance of similar magnitude prior to ~2.8 ka. An early Holocene moraine at Humboldt Glacier was abandoned by 8.3 ± 1.7 ka and is contemporaneous with other moraines deposited along the entire western GIS margin. This widespread ice margin stability between ~9 and 8 ka indicates that while this margin was influenced by warming atmospheric temperatures during the early Holocene, the warming was likely overprinted with the effect of the abrupt climate cooling at 9.3 and 8.2 ka.
DOI: 10.18739/a2gq6r31z
title: Fine root biomass and nutrient concentrations from Alaskan borehole sites, 2015 (ViPER project)

description: Fine roots play an important role in belowground carbon dynamics and may influence our understanding of carbon feedbacks under a changing climate. The objective of this project is to quantify and characterize both live and dead fine root biomass across a large spatial area spanning both tundra and boreal forest ecosystems. These root data are associated with a larger project called Vegetation and Ecosystem Impacts on Permafrost Vulnerability (ViPER) examining the impacts of vegetation and ecosystem properties on active layer and permafrost thermal dynamics in order to better understand the vulnerability of permafrost to climate change. Datasets associated with the ViPER project include soil, vegetation, and ground temperature data from permafrost borehole sites in Alaska and Northeast Siberia. This specific dataset includes the biomasses, % carbon (C), % nitrogen (N), and % phosphorus (P) of both live and dead fine roots across 23 sites that were collected in July-August 2015.
DOI: 10.15468/dl.s66wsr
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.42158 51.26025,-0.37602 51.26025,-0.37602 51.28552,-0.42158 51.28552,-0.42158 51.26025))",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027779-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2zs2kd6v
title: Fine root biomass and nutrient concentrations from Alaskan borehole sites, 2015 (ViPER project)

description: Fine roots play an important role in belowground carbon dynamics and may influence our understanding of carbon feedbacks under a changing climate. The objective of this project is to quantify and characterize both live and dead fine root biomass across a large spatial area spanning both tundra and boreal forest ecosystems. These root data are associated with a larger project called Vegetation and Ecosystem Impacts on Permafrost Vulnerability (ViPER) examining the impacts of vegetation and ecosystem properties on active layer and permafrost thermal dynamics in order to better understand the vulnerability of permafrost to climate change. Datasets associated with the ViPER project include soil, vegetation, and ground temperature data from permafrost borehole sites in Alaska and Northeast Siberia. This specific dataset includes the biomasses, % carbon (C), % nitrogen (N), and % phosphorus (P) of both live and dead fine roots across 23 sites that were collected in July-August 2015.
DOI: 10.18739/a2q814s8n
title: Unmanned Aerial Systems (UAS) Multispectral & Normalized difference vegetation index (NDVI) Orthomosaics of Subset area within Circumpolar Active Layer Monitoring (CALM) grid Imnavait Creek, Alaska, USA, 2019.

description: Beginning in the summer of 2018, high resolution multispectral Unmanned Aerial Systems (UAS) datasets were collected across multiple sites in northern Alaska in an effort to characterize landcover, test remote sensing scaling methods and for use in validating satellite data products. Orthomosaic datasets were developed from multispectral images acquired using a Micasense RedEdge-M sensor and using standardized structure-from-Motion (SfM) photogrammetry workflows. UAS data products reflect landscape and vegetation composition and status at time of flight. We produced two data products (1) 6 band multispectral orthomosaic of Circumpolar Active Layer Monitoring Program (CALM) subset area and (2) 1 band normalized Normalized difference vegetation index (NDVI) orthomosaic of CALM subset area. All data have been calibrated using the proprietary Micasense grey-scale reflectance panel and/or the on-board drone sun sensor.
 The 6 band multispectral image consists of:
 Band 1: Blue (475 nm center, 20 nm bandwidth),
 Band 2: Green (560 nm center, 20 nm bandwidth),
 Band 3: Red (668 nm center, 10 nm bandwidth),
 Band 4: Red Edge (717 nm center, 10 nm bandwidth),
 Band 5: Near-IR (840 nm center, 40 nm bandwidth),
 Band 6: NDVI (not scaled)
 The 1 band NDVI product consists of:
 Band 1: Scaled NDVI map (calculated within ArcMap)
DOI: 10.15468/dl.xvukx5
title: Occurrence Download

description: A dataset containing 927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Nemosenecio nikoensis (Miq.) B.Nord.)"
 ]
}

 The dataset includes 927 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027780-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2kh0f04x
title: Unmanned Aerial Systems (UAS) Multispectral & Normalized difference vegetation index (NDVI) Orthomosaics of Subset area within Circumpolar Active Layer Monitoring (CALM) grid Toolik Lake, Alaska, USA, 2019.

description: Beginning in the summer of 2018, high resolution multispectral Unmanned Aerial Systems (UAS) datasets were collected across multiple sites in northern Alaska in an effort to characterize landcover, test remote sensing scaling methods and for use in validating satellite data products. Orthomosaic datasets were developed from multispectral images acquired using a Micasense RedEdge-M sensor and using standardized structure-from-Motion (SfM) photogrammetry workflows. UAS data products reflect landscape and vegetation composition and status at time of flight. We produced two data products (1) 6 band multispectral orthomosaic of Circumpolar Active Layer Monitoring Program (CALM) subset area and (2) 1 band normalized Normalized difference vegetation index (NDVI) orthomosaic of CALM subset area. All data have been calibrated using the proprietary Micasense grey-scale reflectance panel and/or the on-board drone sun sensor.
 The 6 band multispectral image consists of:
 Band 1: Blue (475 nm center, 20 nm bandwidth),
 Band 2: Green (560 nm center, 20 nm bandwidth),
 Band 3: Red (668 nm center, 10 nm bandwidth),
 Band 4: Red Edge (717 nm center, 10 nm bandwidth),
 Band 5: Near-IR (840 nm center, 40 nm bandwidth),
 Band 6: NDVI (not scaled)
 The 1 band NDVI product consists of:
 Band 1: Scaled NDVI map (calculated within ArcMap)
DOI: 10.18739/a2ft8dk41
title: Unmanned Aerial Systems (UAS) Multispectral & Normalized difference vegetation index (NDVI) Orthomosaics of Subset area within Circumpolar Active Layer Monitoring (CALM) grid Utqiagvik, Alaska, USA, 2019.

description: Beginning in the summer of 2018, high resolution multispectral Unmanned Aerial Systems (UAS) datasets were collected across multiple sites in northern Alaska in an effort to characterize landcover, test remote sensing scaling methods and for use in validating satellite data products. Orthomosaic datasets were developed from multispectral images acquired using a Micasense RedEdge-M sensor and using standardized structure-from-Motion (SfM) photogrammetry workflows. UAS data products reflect landscape and vegetation composition and status at time of flight. We produced two data products (1) 6 band multispectral orthomosaic of Circumpolar Active Layer Monitoring Program (CALM) subset area and (2) 1 band normalized Normalized difference vegetation index (NDVI) orthomosaic of CALM subset area. All data have been calibrated using the proprietary Micasense grey-scale reflectance panel and/or the on-board drone sun sensor.
 The 6 band multispectral image consists of:
 Band 1: Blue (475 nm center, 20 nm bandwidth),
 Band 2: Green (560 nm center, 20 nm bandwidth),
 Band 3: Red (668 nm center, 10 nm bandwidth),
 Band 4: Red Edge (717 nm center, 10 nm bandwidth),
 Band 5: Near-IR (840 nm center, 40 nm bandwidth),
 Band 6: NDVI (not scaled)
 The 1 band NDVI product consists of:
 Band 1: Scaled NDVI map (calculated within ArcMap)
DOI: 10.18739/a2b27ps06
title: Skagafjörður Church and Settlement Survey (SCASS) coring images 2015-2018.

description: This is a dataset of photographs of cores taken as part of an archaeological settlement survey on Hegranes, in Skagafjörður, Northwest Iceland. This work is part of the larger Skagafjörður Church and Settlement Survey (SCASS).
 Farmsteads were investigated archaeologically with a program of cores. The results of the hand coring were used to estimate their size at various times by using the ubiquitous tephra layers. These photographs are of significant portions of the hand cores, usually with tephra and cultural material combined. The metrics of these core photographs can be found in the "Skagafjörður Church and Settlement Survey (SCASS) coring and farmstead datasets 2015-2018." The photograph is usually one of the 40 cm JMC Backsaver retrievals. The name of the image is the Core ID plus 1, 2, or 3 indicating core depth. Core ID plus _1 indicates 0-40 cm bags; Core ID plus _2 indicates 40-80 cm bags, and Core ID plus _3 indicates 80-120 cm bags. Core ID's are used in the SCASS_core_locations.csv, the SCASS_core_layers.csv, and the SCASS_core_tephra.csv databases.
 The Skagafjörður Church and Settlement Survey (SCASS) is a joint archaeological project of the Skagafjörður Heritage Museum and the Fiske Center at UMass Boston. The archaeological work seeks to determine if the settlement pattern of the 9th-century colonization of Iceland affected the development of the religious and economic institutions that dominated the 14th century.
 This data package contains pictures of significant cores recorded during the research
DOI: 10.5284/1124325
title: Images from a Post-excavation Assessment Report at Nissan Plant, Usworth, Sunderland, Tyne and Wear, January 2022

description: This archive consists of images from a Post-excavation assessment by Pre-Construct Archaeology Ltd at the Nissan Plant, Usworth, in January 2022. The archaeological evaluation uncovered medieval plough furrows in several trenches and a shallow gully within Trench 22 that contained a small assemblage of medieval pottery.
DOI: 10.18739/a2696zz6f
title: Skagafjörður Church and Settlement Survey (SCASS) coring images 2015-2018.

description: This is a dataset of photographs of cores taken as part of an archaeological settlement survey on Hegranes, in Skagafjörður, Northwest Iceland. This work is part of the larger Skagafjörður Church and Settlement Survey (SCASS).
 Farmsteads were investigated archaeologically with a program of cores. The results of the hand coring were used to estimate their size at various times by using the ubiquitous tephra layers. These photographs are of significant portions of the hand cores, usually with tephra and cultural material combined. The metrics of these core photographs can be found in the "Skagafjörður Church and Settlement Survey (SCASS) coring and farmstead datasets 2015-2018." The photograph is usually one of the 40 cm JMC Backsaver retrievals. The name of the image is the Core ID plus 1, 2, or 3 indicating core depth. Core ID plus _1 indicates 0-40 cm bags; Core ID plus _2 indicates 40-80 cm bags, and Core ID plus _3 indicates 80-120 cm bags. Core ID's are used in the SCASS_core_locations.csv, the SCASS_core_layers.csv, and the SCASS_core_tephra.csv databases.
 The Skagafjörður Church and Settlement Survey (SCASS) is a joint archaeological project of the Skagafjörður Heritage Museum and the Fiske Center at UMass Boston. The archaeological work seeks to determine if the settlement pattern of the 9th-century colonization of Iceland affected the development of the religious and economic institutions that dominated the 14th century.
 This data package contains pictures of significant cores recorded during the research
DOI: 10.18739/a21j9782v
title: NEEM Firn Core 2009S2 Density and Permeability

description: Density and permeability measurements with depth for the NEEM 2009S2 firn core.
DOI: 10.18739/a2ws8hm6c
title: Microbial respiration in laboratory soil incubations, Agashashok River, Alaska, 2019

description: The position of the Arctic treeline is an important regulator of surface energy budgets, carbon cycling and subsistence resources in high latitude environments. 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 on white spruce in the Arctic suggests that indirect effects of temperature on tree access to soil nutrients may be of equal or greater importance. Our recent results provide correlative evidence of the importance of winter snow depth as a driver of tree growth. The aim of this project was to experimentally isolate the importance of snow depth and soil nutrient availability and examine the consequences for microbial processes, tree growth and treeline advance.
 This dataset contains measurements of microbial respiration made over time during a 3-month laboratory incubation in which soils were held at a range of temperatures (-10, -6, -2, 2 and 6 degrees Celsius (deg C)) crossed with a range of labile carbon additions (0, 0.2, 0.4 and 2 milligrams of carbon per gram of dry soil (mg C per g dry soil)).
DOI: 10.18739/a2s17st2j
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.