uid=MCM,o=EDI,dc=edirepository,dc=org all public read flowcam_haptorid Joshua Darling joshua.darling@colorado.edu https://orcid.org/0000-0001-9074-4617 Diane McKnight diane.mcknight@colorado.edu https://orcid.org/0000-0002-4171-1533 McMurdo Dry Valleys LTER http://mcmlter.org/ Katherina Hell katherina.hell@gmail.com https://orcid.org/0000-0003-2076-5468 associated researcher Sarah Power snpower@vt.edu https://orcid.org/0000-0002-4863-290X associated researcher Ryan Hoak Ryan.Hoak@colorado.edu associated researcher John Priscu jpriscu@montana.edu https://orcid.org/0000-0001-5807-6364 associated researcher Renée Brown rfbrown@unm.edu https://orcid.org/0000-0002-4986-7663 data manager 2024-03-05 English

This data package consists of particle diameter and biovolume data for haptorian ciliates classified from discrete water column samples collected at various depths in Lake Fryxell and Lake Hoare in the McMurdo Dry Valleys region of Antarctica. Samples were collected and preserved between November 2007 and January 2020 in Lake Fryxell and between November 2007 and March 2008 in Lake Hoare.  Samples were collected and analyzed as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) core limnological sampling. Data were imaged using flow cytometry (FlowCam VS-IV) and imaged particles were classified with statistical image-based software (Visual Spreadsheet, v4.17.14). Diameter and biovolume was generated for each particle using FlowCam’s area-based diameter (ABD) algorithm.

limnology phytoplankton LTER Controlled Vocabulary ciliate limnology LTER McMurdo Dry Valleys phytoplankton Taylor Valley Station Keywords population dynamics LTER Core Areas Funding for this work was provided by several awards from the National Science Foundation for Long Term Ecological Research, most recently #OPP-2224760. Additional NSF funding for this work was provided to John Priscu under awards #OPP-0631494 and #MCB-0237335.

This data package is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0; http://creativecommons.org/licenses/by/4.0/), which allows consumers (hereinafter referred to as “Data Users”) to freely reuse, redistribute, transform, or build on this work (even commercially) so long as appropriate credit is provided. Accordingly, Data Users are required to properly cite this data package in any publications or in the metadata of any derived products that result from its use (in whole or in part). A recommended citation is provided on the summary metadata page associated with this data package in the McMurdo Dry Valleys LTER Data Catalog (https://mcmlter.org/data), and a generic citation may be found on the summary metadata page in the repository where this data package was obtained. When these data contribute significantly to the contents of a publication, Data Users must also acknowledge that data were provided by the NSF-supported McMurdo Dry Valleys Long Term Ecological Research program (OPP-2224760). This data package has been released in the spirit of open scientific collaboration. Hence, Data Users are strongly encouraged to consider consultation, collaboration, and/or co-authorship (as appropriate) with the data package creator(s). Data Users should be aware these data may be actively used by others for ongoing research; thus, coordination may be necessary to prevent duplicate publication. Data Users should also recognize that misinterpretation of data may occur if they are used outside the context of the original study. Hence, Data Users are urged to contact the data package creator(s) if they have any questions regarding methodology or results. While substantial efforts are made to ensure the accuracy of this data package (with all its components), complete accuracy cannot be guaranteed. Periodic updates to this data package may occur, and it is the responsibility of Data Users to check for new versions. This data package is made available “as is” and comes with no warranty of accuracy or fitness for use. The creator(s) of this data package and the repository where these data were obtained shall not be liable for any damages resulting from misinterpretation, use, or misuse of these data. Finally, as a professional courtesy, we kindly request Data Users notify the primary contact referenced in the metadata when these data are used in the production of any derivative work or publication. Notification should include an explanation of how the data were used, along with a digital copy of the derived product(s). Thank you.

https://mcm.lternet.edu/content/haptorian-ciliate-measurements-discrete-water-column-samples-using-flow-imaging-microscopy The Lake Fryxell basin is formed by a moraine depression in a wider portion of the Taylor Valley. It has a number of moraine islands and shallower areas, as well as several relatively well developed deltas. The lake is fed by at least 10 meltwater streams with a total drainage catchment of 230 km2. The lake is dammed to the southwest by the Canada Glacier and is topographically closed. It is perennially ice covered; during summer months, an ice-free moat generally forms around much of the lake margin. Lake levels have risen ~2 m between 1971 and 1996. There are no surface outflows; the only known water loss is through ice ablation (evaporation, sublimation and physical scouring). Valley: Taylor Distance to Sea : 9 Maximum Length (km): 5.8 Maximum Width (km): 2.1 Maximum Depth (m): 20 Surface Area (km^2): 7.08 Ice Thickness Average Surface (m): 3.3 - 4.5 Volume (m^3 * 10^6): 25.2 163.048782348633 163.259582519531 -77.597076416016 -77.622711181641 18 18 meter Lake Hoare occupies a narrower portion of the Taylor Valley, dammed by the Canada Glacier. It would drain almost completely without this dam. There are a number of islands which may be related to an old terminal of Canada Glacier. The lake is fed primarily from direct runoff from the glacier, as well as meltwater streams. (Lake level rose ~1.5 m between 1972 and 1996). There are no surface outflows; the only known water loss is through ice ablation (evaporation, sublimation and physical scouring). Valley: Taylor Distance to Sea : 15 Maximum Length (km): 4.2 Maximum Width (km): 1 Maximum Depth (m): 34 Surface Area (km^2): 1.94 Ice Thickness Average Surface (m): 3.1 - 5.5 Volume (m^3 * 10^6): 17.5 162.784423828125 162.935836791992 -77.623085021973 -77.639259338379 73 73 meter 2007-11-11 2020-01-02 McMurdo Dry Valleys LTER Information Manager im@mcmlter.org McMurdo Dry Valleys LTER http://mcmlter.org/ McMurdo Dry Valleys LTER

Samples were collected and preserved as part of routine McMurdo Dry Valley Long Term Ecological Research (LTER) core limnological sampling. Samples were collected along a 4-16 m depth profile in Lake Fryxell and 4-25 m depth profile in Lake Hoare. Samples preserved in 1 % Lugol’s solution at 5 °C were homogenized on a shaker table (150 RPM for 5 mins) before subsampling 150 mL and settling for 24 hrs. The supernatant was then aspirated off to concentrate the sample by 5-fold. 1-5 mL of homogenized subsample was imaged on FlowCam model VS-IV with a 10X lens and 100 µl flow cell. Images were captured using AutoImage Mode at 18-20 frames sec-1 at a flow rate ranging 0.15-0.20 mL min-1. The fluid volume that was imaged ranged from 5-20 %. Files containing the imaged plankton from each sample were then used to sort and build statistical filters based on particle morphologies. The morphotypes of the imaged plankton were sorted and classified using the Visual Spreadsheet Software (version 4.17.14). From a select number samples that covered a range of times and depths throughout the record, images of like-morphotypes, such as a specific taxon or class of phytoplankton, were manually grouped into taxon- and morph-based libraries. For a total of 27 libraries that covered the range of morphotypes found in the plankton, we built statistical filters based on the specific geometries (e.g., length, width, aspect ratio) of the given particles in each library. The statistical filters were then built into a classification template of seven classes based on broad morphologic characterizations of the plankton.  This classification template, based on statistical filters generated by particle attributes, was then applied to all the samples of interest to automatically sort and classify the image-based data. We chose to assign taxonomic identifiers to only the classes in the classification template with high enough image resolutions for sufficient identification. This condition was met only for the haptorian ciliates of the genera Askenasia and Monodinium because these taxa are known to occur in these lakes and likely not to be confused with other protists. Additional classifications were made for broad algal groups but are not included in this dataset due to poor data quality. Separate classes with filters based on detritus, sediment, and air-bubbles were used to control for unwanted image data. Using our classification template, we were able to automatically classify haptorian ciliates from other microplankton and calculate attribute data (area-based diameter (ABD) and ABD biovolume) for each imaged particle.

flowcam_haptorid mcmlter-limno-flowcam_haptorid-20240305.csv 56541 1 0 column , " https://mcm.lternet.edu/sites/default/files/data/mcmlter-limno-flowcam_haptorid-20240305.csv dataset_code Dataset code Internal dataset code. string Internal dataset code. limno_run Limno run code Internal code for core limnological sampling location, date, and run number. string Internal code for core limnological sampling location, date, and run number. lake_name Lake name Name of the lake sampled. string Name of the lake sampled. date_sampled Date sampled. Date sample was collected. date MM/DD/YY h:mm depth_m Depth in meters Depth from surface where the sample was collected in the water column. meter real diameter_um Diameter in micrometers Particle diameter (width). micrometer real volume_um3 Volume in cubic micrometers Particle biovolume. micrometer real