Diana H. WallRoss A. Virginia 2014-11-12 tabular digitial data McMurdo Dry Valleys LTER McMurdo Dry Valleys LTER 10.6073/pasta/ca794581fe3994cad94c8900b80cfeae https://mcm.lternet.edu/content/seasonal-effects-anhydrobiosis-nematodes Investigation of the effect of long-term variation in soil moisture and soil temperature on nematode anhydrobiosis as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project. The percent of anhydrobiotic (coiled) nematodes with relation to season was determined. The study took place on three separate dates during the 1997-1998 austral summer: 21 November 1997, 16 December 1997, and 13 January 1998. 1997-11-21 1998-01-13 ground condition Enhanced in 2016 using DEIMS, Inigo San GilThis file was created by Pilar Tillberg on 10 May 2001, using raw data from the Excel workbook '9711sean.raw'. The file format was suggested by the LTER data manager, to conform with the relational database structure. [PT 10 May 2001]. As needed Four contingent polygons were selected in a clockwise direction. The middle of the south facing crack was selected as the "0" point and soil samples were taken at 0, 0.2, 0.5, 2, and 5 m along a transect towards the middle of the polygon (in a south to north direction). This corresponds to the Hoare basin plot. 162.866668701172 162.866668701172 -77.616668701172 -77.616668701172 LTER Core Areas population dynamics None <cntorg>McMurdo Dry Valleys LTER</cntorg> <onlink>http://mcmlter.org/</onlink> <span property="dc:title" content="McMurdo Dry Valleys LTER" class="rdf-meta element-hidden"></span> Name: Inigo San Gil Role: data manager Not Applicable Not Applicable Field and/or Lab Methods    Sampling was done by using a clean plastic scoop and collecting soil to a 10-cm depth. The soil was scooped onto a 2mm screen and then sifted into a clean metal pan. After sifting, the rocks were discarded and the screen was removed. 100mL of the soil was then poured through a funnel into a 500mL Nalgene bottle containing 100mL of 1.25M sugar solution. The bottle was tightly capped for transportation back to the lab.     The soils were processed within 3 days of collection from the field. Until the n, the soils were stored in a 4_C refrigerator.  To extract the nematodes, first the bottles were filled with an additional 100 mL of 1.25M sugar solution. Then, a long spatula was used to stir the soil so that it was suspended in the sugar (30 seconds of stirring). Next, the sample was poured onto a set of No. 40 over No. 400 U.S.A. standard testing sieves that had been pre-wetted with 1.25M sugar solution. The top screen was rinsed with 1.25M sugar solution and then removed.  The bottom screen was rinsed with 1.25M sugar solution that was squirted only on the front of the screen at an angle. Using this rinsing method, the soil was carefully worked to the bottom wedge of the screen, and the sugar volume was reduced by gently tapping the screen and letting more solution pass through.  Next, the sample was rinsed into a 150mL beaker through a funnel, and then the funnel rinsed to catch any residue.   Once the sample was collected into the 150mL beaker, the sugar and sediment was pipetted (using an automatic pipette) into a centrifuge tube containing 2M sugar solution. The pipetting was done slowly and at an angle so that the boundary between the two sugar layers was maintained. Then the beaker was rinsed wi th 1.25M sugar solution and the dregs were pipetted into the centrifuge tube as well. When necessary, more than one centrifuge tube was used to collect all the sample.   Next, the tubes with sample were centrifuged for five minutes at 1744 RPM. Then, the liquid contents of the tube were poured through a No. 500 sieve. Finally, the contents of the sieve were rinsed into glass centrifuge tubes and stored at 4_C until counting. Samples were washed in to a counting dish and examined under a microscope at x100 or x200 magnification. Nematodes were identified as coiled or straight and counted. Total numbers in each sample were recorded on data sheets. Data were entered in to Excel files, printed, and checked for errors.      Sampling was done by using a clean plastic scoop and collecting soil to a 10-cm depth. The soil was scooped onto a 2mm screen and then sifted into a clean metal pan. After sifting, the rocks were discarded and the screen was removed. 100mL of the soil was then poured through a funnel into a 500mL Nalgene bottle containing 100mL of 1.25M sugar solution. The bottle was tightly capped for transportation back to the lab.   The soils were processed within 3 days of collection from the field. Until the n, the soils were stored in a 4_C refrigerator.  To extract the nematodes, first the bottles were filled with an additional 100 mL of 1.25M sugar solution. Then, a long spatula was used to stir the soil so that it was suspended in the sugar (30 seconds of stirring). Next, the sample was poured onto a set of No. 40 over No. 400 U.S.A. standard testing sieves that had been pre-wetted with 1.25M sugar solution. The top screen was rinsed with 1.25M sugar solution and then removed.  The bottom screen was rinsed with 1.25M sugar solution that was squirted only on the front of the screen at an angle. Using this rinsing method, the soil was carefully worked to the bottom wedge of the screen, and the sugar volume was reduced by gently tapping the screen and letting more solution pass through.  Next, the sample was rinsed into a 150mL beaker through a funnel, and then the funnel rinsed to catch any residue. Once the sample was collected into the 150mL beaker, the sugar and sediment was pipetted (using an automatic pipette) into a centrifuge tube containing 2M sugar solution. The pipetting was done slowly and at an angle so that the boundary between the two sugar layers was maintained. Then the beaker was rinsed wi th 1.25M sugar solution and the dregs were pipetted into the centrifuge tube as well. When necessary, more than one centrifuge tube was used to collect all the sample. Next, the tubes with sample were centrifuged for five minutes at 1744 RPM. Then, the liquid contents of the tube were poured through a No. 500 sieve. Finally, the contents of the sieve were rinsed into glass centrifuge tubes and stored at 4_C until counting. Samples were washed in to a counting dish and examined under a microscope at x100 or x200 magnification. Nematodes were identified as coiled or straight and counted. Total numbers in each sample were recorded on data sheets. Data were entered in to Excel files, printed, and checked for errors.  unknown sean Definitions of variables and units used in the dspreadsheet for the SEAN data. LOCATION Name of area where measurement was made The data provider Name of area where measurement was made DATE_TIME Date on which sample was gathered The data provider calendar date/time mm/dd/yyyy gregorian calendar SAMPLE # ID associated with transect, sampling location The data provider ID associated with transect, sampling location TYPE OF ORGANISM Family associated with organism The data provider Nematode a nematode The data provider SPECIES Species found in soil The data provider Combined Combined - Scottnema, Eudorylaimus, Plectus The data provider SEX Gender of organism (male vs. female) The data provider Gender of organism (male vs. female) LIVE/DEAD/COMBINED Survival Status (living, dead, or both) The data provider Combined Live and dead combined The data provider ADULT/JUVENILE/COMBINED Maturity (adult, juvenile, or both) The data provider Combined Adults and Juveniles The data provider PERCENT COILED NEMATODES Percentage of the nematodes found in a coiled state The data provider dimensionless Comments Comments about the overall data The data provider Comments about the overall data FILE NAME Name of file in which data was stored The data provider Name of file in which data was stored McMurdo Dry Valleys LTER The data distributor shall not be liable for innacuracies in the content http 1 0 \r\n 1 column , https://mcm.lternet.edu/sites/default/files/sean.csv None 2014-11-12 2014-11-12 McMurdo Dry Valleys LTER http://mcmlter.org/ Biological Data Profile of the Content Standards for Digital Geospatial Metadata devised by the Federal Geographic Data Committee. Drupal Ecological information Management Systems, version D7, Biological Data Profile module