Ecological Survey of Central Arizona: a survey of key ecological indicators in the greater Phoenix metropolitan area and surrounding Sonoran desert, ongoing since 1999
Author(s):
- Dan Childers, Arizona State University
- Nancy Grimm, Arizona State University
- Diane Hope, Arizona State University
- Jason Kaye, Penn State
- Chris Martin, Arizona State University
- Nancy McIntyre, Texas Tech University
- Jean Stutz, Arizona State University, Polytechnic campus
Abstract:
The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey, formerly known as the survey 200 and renamed to ESCA in 2015, is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. Measurements include an inventory of all plants (identified to the lowest possible taxonomic unit, typically species), plant biovolume, soil coring for physicochemical properties, arthropod sweep-net sampling, photo documentation, and a visual survey of site and area characteristics. The objectives of the survey are to (1) characterize patches in terms of key biotic, physical, and chemical variables, and (2) examine relationships among land use, general plant diversity, native plant diversity, plant biovolume, soil nutrient status, and social-economic indices along an indirect urban gradient.
A pilot survey was conducted in 1999, and the first full ESCA was conducted in 2000. The maiden survey in 2000 featured a suite of measurements that were not assessed in later surveys, including data from a portable weather station set up during the field survey at each location, organic matter decomposition, pollen, and mycorrhizae. In 2010, the survey was expanded to include an assessment of one of the residential parcels overlapping the survey plot at sites in residential areas. Many of the same variables that are measured in the 30m x 30m survey plot are measured in the parcel, including an inventory of perennial plants, and the biovolume of trees. In addition, a detailed assessment of characteristics of the parcel is performed.
Investigators interested in the additional variables assessed in the 2000 ESCA, in parcel data collected in the 2010 and subsequent surveys, or in soil data collected during the 2000 ESCA (encapsulated in a separate data set owing to a different reporting format) should search the data catalog for 'ecological survey of central arizona' or 'survey 200' to locate those and other data related to the CAP LTER's ESCA.
Keywords:
Temporal Coverage:
1999-05-12 to 2015-06-30Geographic Coverage:
Geographic Description: CAP LTER study areaBounding Coordinates:
Longitude:-112.783 to -111.579
Latitude:33.8267 to 33.2186
Contact:
Data Manager, Julie Ann Wrigley Global Institute of Sustainability, Arizona State University,PO Box 875402,Tempe
caplter.data@asu.edu
Methods used in producing this dataset: Show
Data Files (16) :
Tabular: 652_human_indicators_d26842ef4fe8a4dc45e453f6a1a5090d.csv
Description: The presence of features or characteristics that are reflective of human presence or activity at the study plot.
Temporal Coverage: 1999-05-12 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
human_presence_of_path | indication of the presence of a path through the plot |
string |
Enumeration:
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human_footprints | indication of the presence of foot prints through the plot |
string |
Enumeration:
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human_bike_tracks | indication of the presence of a bicycle tracks through the plot |
string |
Enumeration:
|
human_off_road_vehicle | indication of the presence of off road vehicle activity in the plot |
string |
Enumeration:
|
human_small_litter | amount of small litter |
string |
Enumeration:
|
human_dumped_trash_bags | amount of dumped trash bags |
string |
Enumeration:
|
human_abandoned_vehicles | amount of abandoned vehicles at the site |
string |
Enumeration:
|
human_graffiti | amount of graffiti present |
string |
Enumeration:
|
human_injured_plants | amount of injured plants |
string |
Enumeration:
|
human_informal_play | amount of informal play occurring at the site |
string |
Enumeration:
|
human_informal_recreation | amount of informal recreation occurring at the site |
string |
Enumeration:
|
human_informal_living | amount of informal living in the plot (homeless camps, water bottles, bonfire sites, privies) |
string |
Enumeration:
|
human_sports_equipment | amount of sports equipment used within the site |
string |
Enumeration:
|
human_number_cars | number of cars within a 50 m radius of the plot |
float | number |
human_number_motorcycles | number of motorcycles within a 50 m radius of the plot |
float | number |
human_number_bicycles | number of bicycles within a 50 m radius of the plot |
float | number |
human_number_houses | number of houses within a 50 m radius of the plot |
float | number |
human_number_rvs | number of recreational vehicles within a 50 m radius of the plot |
float | number |
human_social_class | approximate (perceived) social class of the surrounding area |
string |
Enumeration:
|
Tabular: 652_landscape_irrigation_d7f0a19d05b3a8c04f20ec2e61292adb.csv
Description: Characteristics reflective of the landscape type, health, and quality at the plot.
Temporal Coverage: 1999-05-12 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
appears_maintained | landscape maintenance quality |
string |
Enumeration:
|
appears_professional | indication of professional landscaping |
string |
Enumeration:
|
appears_healthy | were the plants healthy |
string |
Enumeration:
|
appears_injured | presence of injury to plants |
string |
Enumeration:
|
presence_of_open_ground | presence of bare soil in the plot |
string |
Enumeration:
|
presence_of_trees | presence of trees in the plot |
string |
Enumeration:
|
presence_of_shrubs | presence of shrubs in the plot |
string |
Enumeration:
|
presence_of_cacti_succ | presence of cacti or succulents in the plot |
string |
Enumeration:
|
presence_of_lawn | presence of turf in the plot |
string |
Enumeration:
|
presence_of_herbaceous_ground | presence of herbaceous ground cover in the plot |
string |
Enumeration:
|
presence_of_other | presence of other types of ground cover in the plot |
string |
Enumeration:
|
presence_of_hand_water | indication of hand watering in the plot |
string |
Enumeration:
|
presence_of_drip_water | indication of drip irrigation in the plot |
string |
Enumeration:
|
presence_of_overhead_water | indication of overhead watering in the plot |
string |
Enumeration:
|
presence_of_flood_water | indication of flood irrigation in the plot |
string |
Enumeration:
|
presence_of_subterranean_water | indication of subterranean irrigation in the plot |
string |
Enumeration:
|
presence_of_no_water | indication of no irrigation at the plot |
string |
Enumeration:
|
presence_of_pervious_irrigation | indication of pervious irrigation in the plot |
string |
Enumeration:
|
Tabular: 652_annuals_69842b489f6147e3dcb107ce6b3e0ab8.csv
Description: Catalog of all annual plants identified within the study plot.
Temporal Coverage: 1999-05-13 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
vegetation_scientific_name | scientific name of plant |
string | |
common_name | common name of plant |
string | |
vegetation_rope_length | length of N-S, E-W plot center axes that are in contact with annual plants (as an approximation for cover of annual plots in the plot) |
float | meter |
Tabular: 652_shrubs_cacti_succulents_b0d9e621091e658ba87846c325f3388a.csv
Description: Biovolume and characteristics of shrubs and succulent plants within study plots; up to five plants of each type are surveyed.
Temporal Coverage: 1999-05-12 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
vegetation_scientific_name | scientific name of plant |
string | |
common_name | common name of plant |
string | |
vegetation_shape_code | general shape of the plant |
string |
Enumeration:
|
vegetation_classification_code | general position or application of plant in the landscape |
string |
Enumeration:
|
height_measured | Height of the plant if measured in the field with a meter tape. The height of plants that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the plant; height_degree_down is the angle in degrees of the base of the plant; and height_distance is the distance between the plant and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation. |
float | meter |
height_distance | distance between the plant and surveyor when angles were measured |
float | degree |
height_degree_up | angle in degrees of the top of the plant |
float | degree |
height_degree_down | angle in degrees of the base of the plant |
float | degree |
width_ns | width of the plant along the north-south axis |
float | meter |
width_ew | width of the plant along the east-west axis |
float | meter |
stem_diameter | stem diameter |
float | centimeter |
stem_height | height at which stem was measured |
float | inch |
Tabular: 652_trees_2a3f070887702331017ff5173a5fa0af.csv
Description: Size and characteristics of trees and Saguaros (Carnegiea gigantea) within study plots. Unlike shrubs and smaller plants where the characteristics of up to five individuals of each type are measured, characteristics of all trees and Saguaros in a plot are assessed. As such, these data also reflect the total number of trees and Saguaros in the study plot. An exception to this is seedlings, where trees less than 1 meter in height are simply counted (and not measured); counts of these plants are available in the number_perennials data that is part of this data set.
Temporal Coverage: 1999-05-12 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
vegetation_scientific_name | scientific name of plant |
string | |
common_name | common name of plant |
string | |
vegetation_shape_code | general shape of the plant |
string |
Enumeration:
|
vegetation_classification_code | general position or application of plant in the landscape |
string |
Enumeration:
|
height_measured | Height of the plant if measured in the field with a meter tape. The height of plants that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the plant; height_degree_down is the angle in degrees of the base of the plant; and height_distance is the distance between the plant and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation. |
float | meter |
height_distance | distance between the plant and surveyor when angles were measured |
float | meter |
height_degree_up | angle in degrees of the top of the plant |
float | degree |
height_degree_down | angle in degrees of the base of the plant |
float | degree |
bottom_canopy_height | hight to the bottom of the tree canopy if measured in the field with a meter tape. |
float | meter |
crown_deg_down | angle to bottom of the tree canopy if bottom canopy height was estimated using a clinometer |
float | degree |
width_ns | width of the plant along the north-south axis |
float | meter |
width_ew | width of the plant along the east-west axis |
float | meter |
stem_diameter | stem diameter |
float | centimeter |
stem_height | Height at which stem was measured. This is often reported as Diameter Breast Height (DBH; ~4.5 feet), or Diameter Ground Height (DBG; measured at the base of the trunk). If value is numeric, height is in inches. Several codes (g, b, n) were used in early years of the survey, and their meaning is unclear. |
string | |
stem_count | number of stems that contributed to stem_diameter measurement |
float | number |
missing_branches | approximate percentage of branches that missing from what would be considered a perfectly healthy tree |
float | dimensionless |
canopy_condition | general condition of the tree canopy |
string |
Enumeration:
|
Tabular: 652_number_perennials_a3c4b916bee0181650526a0bd5124963.csv
Description: The number of perennial plants in the study plot, except Saguaros and mature trees, the numbers of which are available in the trees data that are part of this data set.
Temporal Coverage: 1999-05-13 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
vegetation_scientific_name | scientific name of plant |
string | |
common_name | common name of plant |
string | |
number_plants | number of plants of this type |
float | number |
Tabular: 652_hedges_cadb4d593069eecae3246198b0238e0d.csv
Description: Biovolume and characteristics of hedges within study plots; up to five hedges of each type are surveyed.
Temporal Coverage: 2000-02-08 to 2015-06-29
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
vegetation_scientific_name | scientific name of plant |
string | |
common_name | common name of plant |
string | |
vegetation_shape_code | general shape of the plant |
string |
Enumeration:
|
stem_diam | metadata not available |
float | centimeter |
height_measured | Height of the plant if measured in the field with a meter tape. The height of plants that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the plant; height_degree_down is the angle in degrees of the base of the plant; and height_distance is the distance between the plant and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation. |
float | meter |
height_distance | distance between the plant and surveyor when angles were measured |
float | degree |
height_degree_up | angle in degrees of the top of the plant |
float | degree |
height_degree_down | angle in degrees of the base of the plant |
float | degree |
width | width of the hedge |
float | meter |
length | length of the hedge |
float | meter |
crown_height | Height of the hedge if measured in the field with a meter tape. The height of hedges that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the plant; height_degree_down is the angle in degrees of the base of the plant; and height_distance is the distance between the plant and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation. |
float | meter |
percent_missing | approximate percentage of biovolume that missing from what would be considered a full, healthy shrub |
float | dimensionless |
hedge_condition | perceived health of the hedge |
string |
Enumeration:
|
number_of_plants | number of plants that make up the complete hedge |
float | number |
Tabular: 652_landuse_fc380621290eadce6798174a56fe32b5.csv
Description: Estimated land use or land cover in the study plot. Plots may consist of multiple land use or land cover types, with the approximate percentage of each estimated. Land use or land cover types/labels are adapted from land use/land cover designations employed by the Maricopa County Association of Governments.
Temporal Coverage: 1999-05-12 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
landuse_label | land use or land cover description |
string | |
landuse_percent | estimated percent of plot covered by category |
float | dimensionless |
Tabular: 652_neighborhood_characteristics_0ebb6977ff6a20ebef9ea5a843326f98.csv
Description: General characteristics, such as those relating to perceived social class, types of buildings (if present), landscape quality and features, and traffic of the immediate area surrounding the study plot.
Temporal Coverage: 1999-05-12 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
neigh_social_class_poor | perceived poor neighborhood |
string |
Enumeration:
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neigh_social_class_rich | perceived wealthy neighborhood |
string |
Enumeration:
|
neigh_social_class_upper_middle | perceived upper middle class neighborhood |
string |
Enumeration:
|
neigh_social_class_working_lower | perceived working lower class neighborhood |
string |
Enumeration:
|
neigh_buildings_residential | residential buildings in neighborhood |
string |
Enumeration:
|
neigh_buildings_commercial | commercial buildings in neighborhood |
string |
Enumeration:
|
neigh_buildings_institutional | institutional buildings in neighborhood |
string |
Enumeration:
|
neigh_buildings_industrial | industrial buildings in neighborhood |
string |
Enumeration:
|
neigh_residence_apartments | residential apartments in neighborhood |
string |
Enumeration:
|
neigh_residence_multi_family | multi-family residences in neighborhood |
string |
Enumeration:
|
neigh_residence_single_family | single-family residences in neighborhood |
string |
Enumeration:
|
neigh_irrigation_drip_trickle | evidence of drip irrigation in neighborhood |
string |
Enumeration:
|
neigh_irrigation_flood_hand | evidence of flood irrigation or hand watering in neighborhood |
string |
Enumeration:
|
neigh_irrigation_overhead_spray | evidence of overhead watering in neighborhood |
string |
Enumeration:
|
neigh_yard_upkeep_good | upkeep of yards in neighborhood is good |
string |
Enumeration:
|
neigh_yard_upkeep_poor | upkeep of yards in neighborhood is poor |
string |
Enumeration:
|
neigh_yard_upkeep_professionally_maintained | yards in neighborhood appear professionally maintained |
string |
Enumeration:
|
neigh_landscape_mesic | mesic landscaping in neighborhood |
string |
Enumeration:
|
neigh_landscape_mixed | mixed (mesic, xeric) landscaping in neighborhood |
string |
Enumeration:
|
neigh_landscape_xeric | xeric landscaping in neighborhood |
string |
Enumeration:
|
neigh_landscape_turf_present | turf present in neighborhood |
string |
Enumeration:
|
neigh_traffic_collector_street | collector street(s) in neighborhood |
string |
Enumeration:
|
neigh_traffic_cul_de_sac | cul de sac in neighborhood |
string |
Enumeration:
|
neigh_traffic_dirt_road | dirt road(s) in neighborhood |
string |
Enumeration:
|
neigh_traffic_freeway_expressway | freeway or expressway in neighborhood |
string |
Enumeration:
|
neigh_traffic_highway | highway in neighborhood |
string |
Enumeration:
|
neigh_traffic_major_city_road | major city road(s) in neighborhood |
string |
Enumeration:
|
neigh_traffic_none | no road(s) in neighborhood |
string |
Enumeration:
|
neigh_traffic_paved_local_street | pavel local street(s) in neighborhood |
string |
Enumeration:
|
neigh_notes | general notes about the neighborhood |
string |
Tabular: 652_structures_e254142a972c35c14c5b62cfe586bf5f.csv
Description: Type and height of any structures within the study plot.
Temporal Coverage: 2000-02-03 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
structure_use | type or use of structure |
string | |
height_measured | Height of the building if measured in the field with a meter tape. The height of buildings that are too tall to be measured with a meter tape must be estimated from clinometer measurements. Heights should be calculated as: height (m) = (TAN(height_degree_up)-TAN(height_degree_down)) * height_distance where height_degree_up is the angle in degrees of the top of the building; height_degree_down is the angle in degrees of the base of the building; and height_distance is the distance between the building and surveyor when angles were measured. Note that some software, such as Microsoft Excel, require degrees to be in units of radians, and degree should be converted in the calculation. |
float | meter |
height_distance | distance between the building and surveyor when angles were measured |
float | degree |
height_degree_up | angle in degrees of the top of the building |
float | degree |
height_degree_down | angle in degrees of the base of the building |
float | degree |
Tabular: 652_sampling_events_127265c75731f5922b61210dd0f9fc63.csv
Description: Date of survey and general characteristics of the study plot, including the elevation, slope, a description of the plot, and a description of weather on the date of sampling.
Temporal Coverage: 1999-05-12 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
elevation | survey plot elevation |
float | meter |
slope | predominant slope of survey plot |
float | degree |
weather_on_the_day | general description of weather on the day of sampling |
string | |
weather_recent_rain_notes | notes relating to evidence of recent rain at the plot |
string | |
general_description | general description of the survey plot |
string |
Tabular: 652_soil_center_cores_3f4963a5d816a1bc2b3bdf284c43006e.csv
Description: Physical and chemical properties of soils, including bulk density, particle size fraction, plant matter, pH and conductivity, moisture content, and texture. Measurements are made on a single core (2-inch diameter, 6-inch depth) taken near the survey plot center.
Temporal Coverage: 2005-02-15 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
sampling_notes | sampling notes made by the field crew |
string | |
core_height_cm | height of the soil core material collected in the field before processing |
float | centimeter |
soil_bulkdensity_fw | fresh weight of the soil core |
float | gram |
dw_more_2_mm | weight of fractions greater than 2 mm |
float | gram |
dw_less_2_mm | weight of fractions less than 2 mm |
float | gram |
plant_matter | plant matter weight |
float | gram |
conductivity | conductivity of soil |
float | siemen |
ph_value | pH of soil |
float | dimensionless |
pan | weight of pan used to determine soil moisture correction factor |
float | gram |
pan_plus_fw | weight of pan and fresh soil subsample |
float | gram |
pan_plus_dw60 | weight of pan and soil subsample dried at 60 degrees celsius |
float | gram |
pan_plus_dw105 | weight of pan and soil subsample dried at 105 degrees celsius |
float | gram |
soil_texture_fw | sample weight of soil for texture analysis |
float | gram |
temperature | initial temperature reading for soil texture |
float | celsius |
r05 | hydrometer reading of soil solution at 30 seconds |
float | dimensionless |
r1 | hydrometer reading of soil solution at 1 minute |
float | dimensionless |
t1 | temperature reading at 1 minute |
float | celsius |
r90 | hydrometer reading of soil solution at 90 minutes |
float | dimensionless |
t90 | temperature reading at 90 minutes |
float | celsius |
r1440 | hydrometer reading of soil solution at 24 hours |
float | dimensionless |
t1440 | temperature reading at 24 hours |
float | celsius |
notes | soil texture analysis notes |
string | |
cal_texture_fw | for blank calibration of texture analysis, sample weight |
float | gram |
cal_temp | for blank calibration of texture analysis, initial temperature reading for soil texture |
float | celsius |
cal_r05 | for blank calibration of texture analysis, hydrometer reading of soil solution at 30 seconds |
float | dimensionless |
cal_r1 | for blank calibration of texture analysis, hydrometer reading of soil solution at 1 minute |
float | dimensionless |
cal_t1 | for blank calibration of texture analysis, temperature reading at 1 minute |
float | celsius |
cal_r90 | for blank calibration of texture analysis, hydrometer reading of soil solution at 90 minutes |
float | dimensionless |
cal_t90 | for blank calibration of texture analysis, temperature reading at 90 minutes |
float | celsius |
cal_r1440 | for blank calibration of texture analysis, hydrometer reading of soil solution at 24 hours |
float | dimensionless |
cal_t1440 | for blank calibration of texture analysis, temperature reading at 24 hours |
float | celsius |
cal_run_date | soil texture analysis date |
date | Format: YYYY-MM-DD |
Tabular: 652_soil_lachat_58b545a08d2c80fdbafdfa0ff02edb0a.csv
Description: Raw soil core chemistry (nitrate-nitrogen, ammonium-nitrogen, phosphate). Analyses performed on a Lachat QC8000. Analyses data are available for years 2010 (nitrogen) and 2015 (nitrogen and phosphorus).
Temporal Coverage: 2010-02-19 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
deep_core_type | layer of core analyzed |
string |
Enumeration:
|
sample_id | sample identifier |
string | |
sample_type | analysis type |
string |
Enumeration:
|
replicate_number | replicate sample number |
float | number |
repeat_number | repeat sample number |
float | number |
cup_number | sample position in run |
string | |
manual_dilution_factor | factor by which sample was manually diluted |
float | dimensionless |
auto_dilution_factor | factor by which sample was auto diluted |
float | dimensionless |
weight_units | weight units |
string | |
weight | weight |
string | |
units | units |
string | |
detection_date | analysis date |
date | Format: YYYY-MM-DD |
detection_time | analysis time |
date | Format: HH:MM:SS |
user_name | instrument user |
string | |
run_file_name | analysis output file name |
string | |
description | sample description |
string | |
channel_number | channel number |
float | number |
analyte_name | name of analyte measured |
string |
Enumeration:
|
peak_concentration | peak concentration |
string | |
determined_conc | the actual output for the peak concentration for calibration standards etc where the expected concentration has been input |
string | |
concentration_units | concentration units |
string | |
peak_area | peak area |
float | voltSecond |
peak_height | peak height |
float | volt |
calibration_equation | equation used to calculate unknown concentration |
string | |
retention_time | values that are used to set timing for the method each; method has a known RT for the peak |
float | second |
inject_to_peak_start | timing for the sample to go from injection onto the manifold to the time the peak starts on the run |
float | second |
conc_x_adf | peak concentration times the auto-diluton value if any |
string | |
conc_x_mdf | peak concentration times the manual diluton value if any |
string | |
conc_x_adf_x_mdf | peak concentration times both the auto-dilution and manual dilution if any |
string |
Tabular: 652_soil_traacs_4365c035a194c3879b0e1eb80cb5c1d6.csv
Description: Raw soil nutrient data as analyzed by Traacs for soil samples collected in 2005 and 2010.
Temporal Coverage: 2005-02-15 to 2010-06-21
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
deep_core_type | layer of core analyzed |
string |
Enumeration:
|
sample_id | sample identity or type analyzed |
string | |
sample_set | sample batch identity |
string | |
conc_mg_l | substance concentration |
float | milligramsPerLiter |
survey_year | survey year |
date | Format: YYYY |
analyte | substance quantified |
string |
Enumeration:
|
Tabular: 652_soil_perimeter_cores_62e57ec1a9c312c51df16a0462eb9843.csv
Description: Chemical properties of soils, including nitrate-nitrogen, ammonium-nitrogen, and phosphate, and moisture content. Measurements are made from four cores (1-inch diameter) collected approximately 10-m in each cardinal direction from the survey plot center. Cores from each cardinal direction are split into two depths: 0-10cm and 10-30cm, and homogenized.
Temporal Coverage: 2005-02-15 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
deep_core_type | layer of core analyzed |
string |
Enumeration:
|
pan | weight of pan used to determine fresh / dry weight ratios |
float | gram |
pan_plus_fw | weight of pan and fresh soil subsample |
float | gram |
pan_plus_dw60 | weight of pan and dry soil subsample dried at 60 degrees celsius |
float | gram |
pan_plus_aw | weight of pan and dry soil subsample dried at 500 degrees celsius |
float | gram |
soil_n_fw | fresh weight of soil sample for analyses of nitrogen species |
float | gram |
n_extract_volume | volume of KCl extract for analyses of nitrogen species |
float | milliliter |
nh4_n | ammonium-nitrogen (NH4-N) concentration of sample extract |
float | milligramsPerLiter |
no3_n | nitrate-nitrogen (NO3-N) concentration of sample extract |
float | milligramsPerLiter |
soil_p_fw | fresh weight of soil sample for analyses of phosphorus |
float | gram |
p_extract_volume | volume of NaHCO3 extract for analysis of phosphorus |
float | milliliter |
po4_p | phosphate-phosphorus (PO4-P) concentration of sample extract |
float | milligramsPerLiter |
percent_total_c | percentage of total carbon |
float | dimensionless |
percent_inorg_c | percentage of inorganic carbon |
float | dimensionless |
percent_total_n | percentage of total nitrogen |
float | dimensionless |
Tabular: 652_arthropods_e9c22403e0f7243f241ed64862e22e05.csv
Description: Arthropods collected in sweepnet samples at survey plots. Sweepnet samples are collected on up to three plants, typically of different types. Organisms are identified to the finest possible taxonomic resolution and enumerated. At plots lacking shrubs, trees, or other large plants, samples are typically collected from sweeps of the ground.
Temporal Coverage: 1999-05-13 to 2015-06-30
Column | Description | Type | Units |
---|---|---|---|
sample_date | survey date |
date | Format: YYYY-MM-DD |
site_code | location code |
string | |
sweepnet_sample_type | substratum from which the sweepnet sample was collected |
string |
Enumeration:
|
substratum | Name or description of the substratum from which the sweepnet sample was collected, typically this is the scientific name of a plant but may be otherwise if the sample was not collected from a single plant. |
string | |
arthropod_scientific_name | scientific name of the arthropod |
string | |
number_of_arthropods | number of arthropod of that type collected in that sweepnet sample |
float | number |
notes | notes regarding sample collection or processing |
string |