This dataset comprises summary data for a literature search on invasive alien species (IAS) control efficacy and their outcomes. It contains article title, authors, journal, year of publication, taxa investigated, type of control method, and whether the paper evaluated outcomes. Overall, 373 publications were assessed. The literature search on Web of Science and the subsequent screening were conducted between May and July 2020. Full details about this dataset can be found at https://doi.org/10.5285/7b274f84-0d93-416d-a5b3-54f3387cebd5

This dataset contain inventories of the impacts of invasive alien species (IAS) in Brazil, Chile, and Argentina. These include seven case studies: pines (Pinus contorta) in the Araucanía and Aysén Regions (Chile); (ii) pines (Pinus contorta) in the Northern Patagonia Region (Argentina); (iii) privet (Ligustrum lucidum) in the Yungas Forest (Argentina); (iv) invasive grasses (Urochloa brizantha and Urochloa decumbens) in the Cerrado (Brazil); (v) the American mink (Neovison vison) in Austral Patagonia (Argentina); (vi) the American mink in the Los Ríos Region (Chile); and, (vi) the yellow jacket wasps (Vespula germanica) in the Los Ríos Region (Chile). The impacts were elicited by experts (varying between two and four experts for each case study) following the procedures described in the supporting files. A total of 1,526 impacts were identified by the experts, and these impacts can be found in the "Compiled-Impact.csv" file. This file contains information about the impact outcome, impact mechanism, EICAT impact category, level of confidence, the species or asset impacted, the direction of the impact, the extent of the study area, the name of the IAS, whether the IAS is a plant or an animal, and the country. After two rounds of scoring, the impacts listed in the “Compiled-Impact.csv” were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). The final, agreed impact scores can be found in the file "Unique-Impact.csv". This final dataset contains 209 impacts and information about the same variables described above for the "Compiled-Impact.csv" file. Full details about this dataset can be found at https://doi.org/10.5285/d00a647a-16ec-4d2a-a3a3-ad59597e8ca2

This is a physiological dataset for the Southern Patagonian limpet, Nacella deaurata. The limpets were collected from 2-6m depth in the Straits of Magellan near to Punta Arenas (53.164 S, 70.917 W) between Nov and the end of Jan 2018-19. A 2 month feeding experiment maintained N. deaurata at 1,4,8,11 and 14 degree Celsius for 2 months. Ingestion rate, absorption efficiency, absorption rate, oxygen consumption (uptake), scope for growth and mortality were measured. The thermal reaction norm for duration tenacity of field fresh subtidal and intertidal limpets, as well as subtidal limpets that were incubated at 8 degree Celsius for 2 months was investigated. The thermal reaction norm of radula scraping rates of field fresh limpets was measured. This work was funded by the Center FONDAP-IDEAL 15150003, ANID Chile and NERC core funding to the British Antarctic Survey.

Subglacial Lake CECs was previously identified using radar profile data. Subglacial Lake CECs lies beneath 2650 m of ice, close to the Ellsworth Mountains at the divide between the Minnesota Glacier and Rutford and Institute Ice Streams in Antarctica. Four seismic reflection profiles were acquired across the lake to determine water column depth and investigate lake bed properties. Shot gathers with 48 channels and a maximum offset of 500 m were recorded. A seismic refraction experiment was undertaken to determine seismic velocities in the firn. Dual frequency and RTK GPS were used to determine shot locations. Seismic surveys indicate a maximum water depth of 301.3 +/- 1.5 m, at the widest part of the lake, with an estimated lake volume of 2.5 +/- 0.3 km3. Imaging of the ice-lake interface indicates topography with slopes of up to 1.9 degrees. This research was supported by the Natural Environment Research Council, British Antarctic Survey (Polar Science for Planet Earth Programme) and Centro de Estudios Cientificos, Valdivia, Chile.

Data package containing information and the results of our expert-based stakeholder mapping exercise for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021. These six case studies included invasive grasses (Urochloa spp.) in Brazil, glossy privet (Ligustrum lucidum) in Argentina, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Argentina, American mink (Neogale vison) in Argentina and Chile, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Chile, and German yellow-jacket (Vespula germanica) in Chile. The datasets included are: (i) a list of all the stakeholders identified, their characteristics, interest in invasive non-native species (INNS) and their management, and the positive and negative ecological, economic, and social impacts of INNS experienced by the stakeholders; (ii) an example of a stakeholder spreadsheet used to collect information during our activities; (iii) a list of consensus strategies for engaging stakeholders identified by the participants; and (iv) two examples of stakeholder engagement strategies. Full details about this dataset can be found at https://doi.org/10.5285/450fd469-5cd7-4c8f-b113-ba469c358caf

A new subglacial bed Digital Elevation Model (DEM) from Ellsworth Subglacial Highlands (ESH) was created from previously gridded bed elevation data and new unpublished radar data. The new DEM includes the upper reaches of Pine Island Glacier, Rutford and Institute Ice Streams and reveals new topographical features. The main findings on this new DEM are two linear deep throughs with a perpendicular transection valley near Subglacial Lake Ellsworth. Additionally, using the new DEM and ice surface elevation data from CryoSat2 ice surface DEM, a hydropotential model was built and used to create a detailed hydropotential model of ESH to simulate the subglacial hydrological network. This approach allowed us to characterize basal hydrology, subglacial water catchments and connections between them. In this characterization we noticed the mismatch between subglacial hydrological catchment and ice surfaces catchment of Rutford Ice Stream, Pine Island Glacier and Thwaites Glacier. Funding was provided by NERC Antarctic Funding Initiative (AFI) grants NE/D008751/1, NE/D009200/1, and NE/D008638/1, and NERC grant NE/G013071/1.