anhysteretic remanent magnetization/isothermal remanent magnetization
branched and isoprenoid tetraether index
branched glycerol dialkyl glycerol tetraether
cyclization index of branched tetraethers
methylation index of branched tetraethers

Q0.16, ice volume and vegetation adjusted
Q0.84, ice volume and vegetation adjusted
Q0.025, ice volume and vegetation adjusted
Q0.975, ice volume and vegetation adjusted
C29 δD ice volume and vegetation adjusted

The density of bulk sediment measured in mass divided by volume
average segment length across multiple tree ring timeseries from a site

milligram per square centimeter per year
microgram per square centimeter per year

((( ((( null ))) deg C /// degC ))) degC /// degC
Floods per 30 yrs (200 yr running average)

Lake stratigraphy and radiocarbon dating of macrofossils
((( calcium carbonate ))) accumulation /// null

annual calendar year (but 80% of precipitation from Nov to May)
annual (*but recently would prob be interpreted as summer-biased)
late summer/winter lake water (summer-biased mean annual precip)
Mean annual (weighted toward OND and MAM)
thermal year (Aug-Jul) (but 80% of precipitation from Nov to May)
mainly growing season, with potential addition effects of snowmelt following wet winters
((( warm season (June-Sept) ))) JJAS /// JJAS
May, June, July, August, September, October, November, December
May, June, July, August, September, October
changes depending on which season provides source moisture for plants
under present conditions, wet years often have higehr amount of winter rain, but d18O may reflect high summer rain, winter rain, or both
November (previous year) to February (current year)
Oct (previous year) to Sept (current year)
P_amount (June), temperature (July, Aug)
P_amount (June), temperature (May, June, Aug, Oct)

The dataset is subannually resolved so seasonal variability is explicit in the timeseries

A term to group biologically produced, non assemblage, proxy types including biogenic silica, cellulose, marcofossils, total organic carbon, chlorophyll etc.
Proxies based on organic molecules found in sediments, initially produced by a variety of organisms either on land or in the aquatic environment (examples include GDGT, TEX86, IP25 etc)
Proxies based on air temperature measurements made in a deep, narrow hole in the ground or ice
Proxies based on physical measurements made on ice (e.g. bubble density, ice melt, and ice accumulation)
Proxies based on physical measurements made on tree-rings (e.g. ring width, maximum latewood density)
Proxies  based on elements in the periodic table (e.g. Ti, Ti/Ca, Mg/Ca, Sr/Ca etc.)
Proxies based on a group of animal fossils (e.g. chironomid, dynocist, foraminifera, amoeba, etc.)
Proxies based on a group of plant fossils (e.g. pollen, diatoms, cocolyths etc)
Proxies based on documented historical events
Proxies based on isotopes (e.g. d18O, d13C, d15N etc.)
Proxies based on minerals (e.g. calcium carbonate, total inorganic carbon, calcite, calcification rate etc)
Records based on multiple proxy types
Proxies produced in fire (charcoal)
Proxies based on light reflectance (e.g. grayscale)
Proxies based on physical sediment properties (e.g. Bulk Density, Magnetic properties etc)
Proxies based on sediment layers (e.g. varves, flood layers, etc.)