This dataset defines the sample locations for various abiotic data collected on Konza Prairie (rain gauges, soil moisture, and stream data). Included in this are locations for 11 rain gauges (GIS300) on Konza Prairie. The Konza headquarters weather station consists of two gauges which are operated year-round. The remaining Konza-operated gauges run from April 1 to November 1. These data are to be used in conjunction with the APT01 (precipitation) dataset. GIS305 contains the locations where measurements of soil moisture (%volume) are taken on Konza Prairie. These data are to be used in conjunction with the ASM01 (soil moisture) dataset. GIS315 defines the locations of stream gauges (5 including one operated by the USGS*) in the Kings Creek watershed. (*http://waterdata.usgs.gov/nwis/nwisman/?site_no=06879650)

These data show the locations of research conducted at the below ground plots near Konza Headquarters. Record type 1 (GIS350) describes the 64 belowground plots receiving a variety of nutrient, burn, and mowing treatments. Data for BMS01, BMS02, and BNS01 are collected on these plots. Record type 6 (GIS355) describes the locations of the Micro-Rhizotrons. Two spatial datasets lie on the belowground plots, but are classified separately. These are the Lysimeters on belowground plots (GIS455) and Aboveground biomass on belowground plots (GIS505) datasets. GIS505 may be used alongside the BGPVC dataset, because it shares sample locations with PBB01.

This dataset defines the permanent structures located on the Konza Prairie Biological Station (KBPS). The structure data include building names and addresses. These data are available as zipped (.zip) shapefiles (.shp).

This dataset provides 12 parameters to define agent diversity worldwide aggregated in 28 regions. All the values were provided in 2010.

The Fishes of Texas Project aims to provide reliable occurrences of fishes from the entire extents of all the drainage basins that intersect Texas. Starting in 2006, with the database of specimens held in the University of Texas' Ichthyology Collection (TNHCi), we added specimen data collected from our study area from all of the museums we could find to create the initial version of the Fishes of Texas database. At the time, many of those were not online and all had their data in diverse formats and development of biodiversity data standards was in its infancy. We laboriously compiled these disparate sources into a schema derived from that of the Specify Collections Management software. We retain the verbatim data received from the data donors, but then did our own processing and quality control starting by normalizing formats and taxonomy. We manually georeferenced all localities, allowing us to map species to find outliers and, as possible, examined specimens and corrected determinations for misidentified specimens. We photographed specimens and original labels of many specimens examined. Uncertainty in dates is expressed using begin and end dates. Uncertainty in locations is expressed with a radius, that with coordinates (lat., long.), defines a circle in which the collection is determined to have occurred. The institutions holding examined specimens have been informed of our re-determinations and other corrections, but we do not control repatriation, so users may find our records for some specimens conflict with the data they might now independently publish. The database continues to grow and evolve, initially holding only specimen records from 44 institutions, now includes data from 116 institutions including non-specimen sources such as state and federal agencies, citizen scientists, peer and non-peer reviewed literature and word of mouth accounts. Thus, the dataset contains many records that are not openly published, for use by researchers and resource managers interested in the fish fauna of Texas and adjoining parts of its river basins. The same data can also be queried and explored in diverse ways via our website (http://www.fishesoftexas.org), where users will find additional documentation and other data-exploration tools. Please use our contact information there to notify us of any errors or other issues.

This dataset defines the nature trails found at Konza Prairie Biological Station (KPBS). The trails data shows locations of the different Konza maintained walking trails including leg distances and loop names. These data are available as zipped (.zip) shapefiles (.shp).

This dataset is used to: assess biodiversity levels define seed zones map ecosystem types set targets for the identification of natural heritage systems

Additional Documentation

EcoDistrict - Documentation EcoDistrict - Data Description

Status Completed: production of the data has been completed Maintenance and Update Frequency As needed: data is updated as deemed necessary Contact Adam Hogg, adam.hogg@ontario.ca

Summary of actions defined in the data flow protocol and the parties involved in each step.

This dataset defines the roads in and around the Konza Prairie Biological Station (KPBS). The road data shows locations of Konza maintained and county/state/federal access roads as well as defining gravel or paved. Data type one (GIS170) defines roads within KPBS, and type two (GIS171) defines roads surrounding KPBS. These data are available as zipped (.zip) shapefiles (.shp).

Number of letters or words for each class in data sets U1 and U2.

This dataset contains a comprehensive record of burn histories for the Konza Prairie Biological Station (KPBS) dating from 1972. Burn history data contains date burned, area burned and type of treatment (prescribed burns, complete and partial burns, and wildfires). These data are available as zipped (.zip) shapefiles (.shp).