Automated Organization Profile

National Ice Core Laboratory

Current S-Index

4.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.6

Average Dataset Index per dataset

Total Datasets

3

Total datasets in this organization

Average FAIR Score

48.4%

Average FAIR Score per dataset

Total Citations

5

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Wake Atoll yellow crazy ant survey, 2023 (ver. 2.0, October 2024)

This data release includes metadata and tabular data that documents the distribution of yellow crazy ants (Anoplolepis gracilipes) across Wake Atoll. The three islands that comprise the atoll were systematically searched by hand. The dataset describes the outcome of searching 3,675 cells, each 50 x 50 m in size, during 6-21 October 2023. .

Authors

  • Robert W Peck ;
  • Sheldon Plentovich ;
  • Elyse Sachs
0 Citations0 Mentions46% FAIR0.3 Dataset Index
10.5066/p1hb3er72024

East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021

Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui. Data include the underlying land-use configuration file, predictive climate models, list of plant species and number of populations to recover/protect, habitat and forest bird distribution information, presence of fencing, land management status, and naming protocol file. We identified a suite of potential conservation footprints that are constrained by ecological and resource management selection criteria based input and co-production with botanical experts and resource managers. These solutions include recovery habitat for all species of interest. The optimization process also identified priority recovery planning units, equal to the number of populations required for recovery, to inform find-scale recovery efforts. Data include: 1) underlying land-use configuration and input metrics used for optimization, input_metrics.gpkg; 2) species list, species_list.csv; 3) and output metrics from an example solution, pu_solution_example.gpkg.

Authors

  • Christina Leopold ;
  • Lucas Fortini ;
  • Fred Amidon ;
  • Scott Fretz ;
  • James D Jacobi ;
  • Loyal Mehrhoff ;
  • Robert Sutter
1 Citation0 Mentions46% FAIR0.8 Dataset Index
10.5066/p9lknar42023

Kauaʻi Rapid ʻŌhiʻa Death (ROD) Ambrosia Beetles 2020-2021

This data release includes data and metadata containing documentation of 1) ambrosia beetle (Coleoptera: Curculionidae) species caught in cross-vane panel traps (CVPT) in ʻōhiʻa (Metrosideros polymorpha) dominated forests with geographical locations and elevations and 2) ambrosia beetle species reared directly from cut ʻōhiʻa tree sections (bolts) infected with Rapid ʻŌhiʻa Death (ROD)-causing pathogens at various elevations from Kauaʻi, HI USA. Data were used in a study describing bark and ambrosia beetles associated with ROD and ʻōhiʻa lehua forests on Kauaʻi.

Authors

  • Ellen J Dunkle ;
  • Kylle Roy ;
  • Roshan Manandhar ;
  • Michelle Clark ;
  • Kalli Harshman ;
  • Robert W Peck
4 Citations0 Mentions53% FAIR2.1 Dataset Index
10.5066/p9sy9rux2023