Automated Author Profile

Ward Jones, Melissa

0000-0002-3401-2515

Current S-Index

101.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

304

Total datasets for this author

Average FAIR Score

41.5%

Average FAIR Score per dataset

Total Citations

9

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Observational dataset from Drew Point, Alaska used in the calibration of the Arctic Coastal Erosion (ACE) Model (Version: 1.0)

This repository contains three interrelated datasets from Drew Point Alaska. The first is a geochemical and mechanical characterization of permafrost cores collected in 2018. The second contains permafrost temperatures as a function of elevation between July 1 and September 8, 2018. The third is a reporting of erosion from a single polygon located at 70⁰ 52’ 50.0196” N, 153⁰ 53’ 25.4418” W between July 1 and September 30, 2018.  Permafrost cores (4.5-7.5 m long) were collected April 10th-19th, 2018, along a geomorphic gradient near Drew Point, Alaska to characterize permafrost geochemistry, material, and mechanical properties. Cores were collected from a young drained lake basin, an ancient drained lake basin, and primary material that has not been reworked by thaw lake cycles. Measurements were conducted to establish salinity, organic carbon content, water mass for effective porosity, and soil/sediment masses, grain sizes, and bulk densities in ice-bonded sediments as a function of bluff elevation.  Experimentation on a small subset of these natural cores was also used to establish three mechanical material properties: elastic modulus, compressive yield strength, and tensile yield strength. Mechanical stress strain properties as a function of ice saturation and porosity were obtained through direct tensile, Brazilian tensile strength, and unconfined compressive strength testing. Distinct compositions of ice saturation and porosity were achieved by controlling the testing chamber temperature and selecting distinct sections of the core respectively.The D405 BeadedStream satellite telemetered datalogger with a 5.5 m long standard digital temperature cable recorded temperature values every day from Apr. 22 to Jul. 20 and then hourly from Jul. 20 through the block failure event on Sept. 1, 2018.  The thermistor string had 10 sensors measuring temperature changes at the following bluff elevations: -0.3, 0.0, 0.2, 0.5, 0.7, 1.7, 2.7, 3.7, 4.2, and 4.7 m.  Niche measurements are inferred from vertically resolved temperature changes, as measured hourly by a thermistor string placed within the void left by the 7.5 m long core. This is the first dataset, to our knowledge, that captures hourly-resolved niche formation and ensuing block collapse offering an unparalleled calibration opportunity for models capable of temporally evolving niche dynamics (like the ACE model).  Additionally, environmental conditions were measured by a permanent USGS weather station. Observational measurements of air and subsurface temperatures from 5 cm to 120 cm depth at 5 cm increments were collected hourly.  Both of these datasets between Jul. 1 through Sept. 8, 2018 are documented here.Bluff face erosion measurements were collected through four repeat aerial unpersoned vehicle (AUV) surveys as well as from daily-resolved time-lapse calibrated images. These measurements are most representative of the changes experienced at the top of the bluff.  A quad-rotor phantom AUV acquired repeat images along a 1.5 km stretch of coastline on Jul. 25, Jul. 30, Aug. 04, and after block collapse on Sept. 30 2018 (note, all dates and times are presented in Greenwich Mean Time (GMT)).  Twelve transect lines intersect with the calibration polygon and erosion amounts between the surveyed dates are presented for each transect.  A time-lapse camera (Buckeye cam x80 model) was configured to take hourly photos and documents the polygon with the vertical thermistor breaking along an ice wedge between Aug. 31 and Sept. 1 2018.  Photographs from this camera were analyzed using reference distances to create a daily record of bluff top erosion.  Daily amounts of thermo-denudation between Jul. 1 and Aug. 31 from this analysis is presented in this dataset.

Authors

  • Bull, Diana ;
  • Bristol, Emily ;
  • Jones, Benjamin ;
  • Choens, Robert ;
  • Kanevskiy, Mikhail ;
  • Iwahana, Go ;
  • Ward Jones, Melissa ;
  • Lorenson, Thomas ;
  • Ilgen, Anastasia G. ;
  • Bayat, Elyce ;
  • McClelland, James W
1 Citation0 Mentions77% FAIR1.0 Dataset Index
10.5281/zenodo.148622742025

Observational dataset from Drew Point, Alaska used in the calibration of the Arctic Coastal Erosion (ACE) Model (Version: 1.0)

This repository contains three interrelated datasets from Drew Point Alaska. The first is a geochemical and mechanical characterization of permafrost cores collected in 2018. The second contains permafrost temperatures as a function of elevation between July 1 and September 8, 2018. The third is a reporting of erosion from a single polygon located at 70⁰ 52’ 50.0196” N, 153⁰ 53’ 25.4418” W between July 1 and September 30, 2018.  Permafrost cores (4.5-7.5 m long) were collected April 10th-19th, 2018, along a geomorphic gradient near Drew Point, Alaska to characterize permafrost geochemistry, material, and mechanical properties. Cores were collected from a young drained lake basin, an ancient drained lake basin, and primary material that has not been reworked by thaw lake cycles. Measurements were conducted to establish salinity, organic carbon content, water mass for effective porosity, and soil/sediment masses, grain sizes, and bulk densities in ice-bonded sediments as a function of bluff elevation.  Experimentation on a small subset of these natural cores was also used to establish three mechanical material properties: elastic modulus, compressive yield strength, and tensile yield strength. Mechanical stress strain properties as a function of ice saturation and porosity were obtained through direct tensile, Brazilian tensile strength, and unconfined compressive strength testing. Distinct compositions of ice saturation and porosity were achieved by controlling the testing chamber temperature and selecting distinct sections of the core respectively.The D405 BeadedStream satellite telemetered datalogger with a 5.5 m long standard digital temperature cable recorded temperature values every day from Apr. 22 to Jul. 20 and then hourly from Jul. 20 through the block failure event on Sept. 1, 2018.  The thermistor string had 10 sensors measuring temperature changes at the following bluff elevations: -0.3, 0.0, 0.2, 0.5, 0.7, 1.7, 2.7, 3.7, 4.2, and 4.7 m.  Niche measurements are inferred from vertically resolved temperature changes, as measured hourly by a thermistor string placed within the void left by the 7.5 m long core. This is the first dataset, to our knowledge, that captures hourly-resolved niche formation and ensuing block collapse offering an unparalleled calibration opportunity for models capable of temporally evolving niche dynamics (like the ACE model).  Additionally, environmental conditions were measured by a permanent USGS weather station. Observational measurements of air and subsurface temperatures from 5 cm to 120 cm depth at 5 cm increments were collected hourly.  Both of these datasets between Jul. 1 through Sept. 8, 2018 are documented here.Bluff face erosion measurements were collected through four repeat aerial unpersoned vehicle (AUV) surveys as well as from daily-resolved time-lapse calibrated images. These measurements are most representative of the changes experienced at the top of the bluff.  A quad-rotor phantom AUV acquired repeat images along a 1.5 km stretch of coastline on Jul. 25, Jul. 30, Aug. 04, and after block collapse on Sept. 30 2018 (note, all dates and times are presented in Greenwich Mean Time (GMT)).  Twelve transect lines intersect with the calibration polygon and erosion amounts between the surveyed dates are presented for each transect.  A time-lapse camera (Buckeye cam x80 model) was configured to take hourly photos and documents the polygon with the vertical thermistor breaking along an ice wedge between Aug. 31 and Sept. 1 2018.  Photographs from this camera were analyzed using reference distances to create a daily record of bluff top erosion.  Daily amounts of thermo-denudation between Jul. 1 and Aug. 31 from this analysis is presented in this dataset.

Authors

  • Bull, Diana ;
  • Bristol, Emily ;
  • Jones, Benjamin ;
  • Choens, Robert ;
  • Kanevskiy, Mikhail ;
  • Iwahana, Go ;
  • Ward Jones, Melissa ;
  • Lorenson, Thomas ;
  • Ilgen, Anastasia G. ;
  • Bayat, Elyce ;
  • McClelland, James W
0 Citations0 Mentions77% FAIR0.6 Dataset Index
10.5281/zenodo.148622732025

Permafrost and Environmental Monitoring in 2023 and 2024 at the Teshekpuk Lake Observatory, Northern Alaska

This dataset consists of monitoring data of environmental parameters at two sites representing different stages of ice-wedge evolution and set up as Circumpolar Active Layer Monitoring (CALM) grid sites at the Teshekpuk Lake Observatory. One site was established in an area with low-centered polygons (LCP; CALM site U60a) and the other in an area with high-centered polygons (HCP; CALM site U60). The LCP site represents ice-wedge formation and is in a drained lake basin, the HCP represents partial degradation and is located in a primary early Holocene surface. Grids were 100 meter (m) by 100 m grids with data collected at every 10 m for a total of 120 measurement point locations. Measurements include thaw depths, ground temperatures at 12 centimeter (cm) depths, volumetric water content of the upper 12 cm of soil, water depth in areas with standing water, maximum vegetation height (within ~10 cm of the grid point), and snow depth. This data was collected at both sites in July 2023 and 2024 and is provided by four csv file for each measurement day. Two shapefiles are included to provide exact measurement locations within the grid. Furthermore, Unmanned Aerial Vehicle (UAV) surveys were conducted in 2024 to measure micro-topography and Normalized Difference Vegetation Index (NDVI) near the timing of peak tundra greenness. These derived UAV products are included as tif files. These measurements were also extracted at each grid point location for analysis and those values are included in the csv files described previously. Finally, we monitored active layer (15 cm depth) and permafrost (100 cm depth) temperatures for specific geomorphic features at each site for a year. We also monitored base of pond water temperatures for a year. Ground temperature monitoring for geomorphic features at the LCP site consisted of a polygon center, a rim and a trough; for the HCP site geomorphic features consisted of a polygon center and two troughs of varying dimensions (note one trough was located outside the grid area). Water monitoring consisted of two polygon centers at the LCP site and a thaw pond at the HCP site. This data is included as another csv file.

Authors

  • Ward Jones, Melissa ;
  • Jones, Benjamin
1 Citation0 Mentions15% FAIR0.4 Dataset Index
10.18739/a29z90d9r2025

Ground Temperature Monitoring of a Cover Crop Variety Trial in Fairbanks, Alaska during 2024 Growing Season

The Permafrost Grown project (NSF RISE Award # 2126965) is co-producing knowledge with farmers in Alaska (Tanana Valley and Bethel) to investigate the interactions and feedbacks between permafrost and agriculture. Additional project objectives include understanding legacy effects over a 120-year cultivation history in the Tanana Valley, evaluating the socio-economic effects of permafrost-agriculture interactions and provide decision making tools for farmers and finally to utilize education and outreach activities to share knowledge with the farmers and the public. The project focuses on in-the-ground farming in a range of cultivation types including crops, peonies and livestock. The project is funded through NSF’s Navigating the New Arctic Initiative. This work was carried out at the University of Alaska Fairbanks Experimental Farm. This work was done through the Permafrost Grown Project as part of an effort to determine the thermal impact of a variety of cover crops and evaluate their potential impact on permafrost. Temperature monitoring and data collection was done in collaboration with a cover crop variety trial based at the University of Alaska Fairbanks that is supported by a Cooperative Agreement with the US Department of Agriculture Agricultural Research Service (award #58-3064-1-001).

Authors

  • Ward Jones, Melissa ;
  • Gannon, Glenna ;
  • Gasch, Caley
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.18739/a24f1mm182025

Orthomosaic images and digital surface models at Drew Point, Beaufort Sea Coast, Alaska, 2018 and 2019

To assess coastal erosion dynamics during the 2018 and 2019 open water seasons at Drew Point, Beaufort Sea Coast, Alaska, we generated orthomosaic images and associated digital surface models from 9 unmanned aerial vehicle (UAV) surveys. UAV surveys were collected on 24 July 2018, 29 July 2018, 3 August 2018, 30 September 2018, 2 August 2019, 6 August 2019, 10 August 2019, 12 August 2019 and 15 August 2019. The digital surface models elevations are at relative sea level (2.2 meters (m) higher than local ellipsoid heights) and have been cleaned up (i.e. noise from waves removed) to only include the coast edge, ~125 m inland from the coast and toppled permafrost blocks in front of the bluff edge.

Authors

  • Ward Jones, Melissa ;
  • Jones, Benjamin
2 Citations0 Mentions15% FAIR0.8 Dataset Index
10.18739/a2hm52m8p2025

Data for EMSL Project 60942 from February 2025

No description available

Authors

  • Toyoda, Jason ;
  • Zhao, Qian ;
  • Leichty, Sarah ;
  • Bargar, John ;
  • Townsend, Andrew ;
  • Stohel, Izabel ;
  • Meluch, Beata ;
  • Ward Jones, Melissa ;
  • Gannon, Glenna ;
  • Ping, Chien-Lu ;
  • Jones, Benjamin ;
  • Petersen, William ;
  • Smith, Saige ;
  • Perez, Maria
0 Citations0 Mentions42% FAIR0.3 Dataset Index
10.25582/data.2025-02.3391585/25252582025

Data for EMSL Project 60942 from February 2025

No description available

Authors

  • Toyoda, Jason ;
  • Zhao, Qian ;
  • Leichty, Sarah ;
  • Bargar, John ;
  • Townsend, Andrew ;
  • Stohel, Izabel ;
  • Meluch, Beata ;
  • Ward Jones, Melissa ;
  • Gannon, Glenna ;
  • Ping, Chien-Lu ;
  • Jones, Benjamin ;
  • Petersen, William ;
  • Smith, Saige ;
  • Perez, Maria
0 Citations0 Mentions42% FAIR0.3 Dataset Index
10.25582/data.2025-02.3373176/25123682025

Data for EMSL Project 60942 from February 2025

No description available

Authors

  • Toyoda, Jason ;
  • Zhao, Qian ;
  • Leichty, Sarah ;
  • Bargar, John ;
  • Townsend, Andrew ;
  • Stohel, Izabel ;
  • Meluch, Beata ;
  • Ward Jones, Melissa ;
  • Gannon, Glenna ;
  • Ping, Chien-Lu ;
  • Jones, Benjamin ;
  • Petersen, William ;
  • Smith, Saige ;
  • Perez, Maria
0 Citations0 Mentions42% FAIR0.3 Dataset Index
10.25582/data.2025-02.3373234/25123692025

Data for EMSL Project 60942 from February 2025

No description available

Authors

  • Toyoda, Jason ;
  • Zhao, Qian ;
  • Leichty, Sarah ;
  • Bargar, John ;
  • Townsend, Andrew ;
  • Stohel, Izabel ;
  • Meluch, Beata ;
  • Ward Jones, Melissa ;
  • Gannon, Glenna ;
  • Ping, Chien-Lu ;
  • Jones, Benjamin ;
  • Petersen, William ;
  • Smith, Saige ;
  • Perez, Maria
0 Citations0 Mentions42% FAIR0.3 Dataset Index
10.25582/data.2025-02.3373351/25123702025

Data for EMSL Project 60942 from February 2025

No description available

Authors

  • Toyoda, Jason ;
  • Zhao, Qian ;
  • Leichty, Sarah ;
  • Bargar, John ;
  • Townsend, Andrew ;
  • Stohel, Izabel ;
  • Meluch, Beata ;
  • Ward Jones, Melissa ;
  • Gannon, Glenna ;
  • Ping, Chien-Lu ;
  • Jones, Benjamin ;
  • Petersen, William ;
  • Smith, Saige ;
  • Perez, Maria
0 Citations0 Mentions42% FAIR0.3 Dataset Index
10.25582/data.2025-02.3373404/25123712025