This dataset contains laboratory measurements of peat depth, horizontal saturated hydraulic conductivity, dry bulk density, and the degree of peat humification (von Post scale) for degrading palsas at Rensjön palsa mire, Norrbotten, Sweden. Full details about this dataset can be found at https://doi.org/10.5285/5d0f211e-d391-4861-8f12-e04a65108ae7

[This dataset is embargoed until May 31, 2024]. Saturated hydraulic conductivity, bulk density and soil organic carbon content were determined on soil samples extracted from the upper 50 cm of the soil profile for three paired upland woodland and grassland sites in northern England. The site pairs consisted of new deciduous plantation (<5 yrs old) and pasture, 15 year old deciduous plantation and pasture, and finally a site with mature deciduous woodland and pasture. Comparisons were made between woodland and pasture soil properties. The work was supported by the Natural Environment Research Council Grant NE/R004595/1: Optimising Natural Flood risk Management (NFM) in headwater catchments to protect downstream communities. Full details about this dataset can be found at https://doi.org/10.5285/03bbb1a9-703b-484b-aa16-5924c11e1f2d

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains soil hydraulic measurement data from the Climoor field site in the Clocaenog forest, in North Wales. The collection contains five data sets. 1) soil bulk density (0-5 centimetre) and saturated water content. 2) Unsaturated hydraulic conductivity measured in the field at tensions of -2 and -6 centimetre using a mini disk infiltrometer. 3) Unsaturated hydraulic conductivity measured using a HYPROP (registered trademark) instrument, an instrument which determines the hydraulic properties of soil samples, on soil cores taken from the field plots. 4) Soil water release curves for wet soil corresponding to the hydraulic conductivity measurements made using a HYPROP in the laboratory on cores from the field. 5) Soil water release curve data for dry soil measured using a WP4 potentiometer. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled and not available (NA's) have been added where there is no data. Data was collected between the end of 2010 and early 2012. Data sets 1, 3 and 4 were collected in April and September, 2011, data set 2 in May, 2012 and data set 5 in November, 2010. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data were collected to monitor site specific soil properties at a specific reference time. Full details about this dataset can be found at https://doi.org/10.5285/ae7a60ac-b72d-41f5-a42c-c648769cd403

This dataset contains soil hydraulic measurement data from the Climoor field site in the Clocaenog forest, in North Wales. The collection contains five data sets. 1) soil bulk density (0-5 centimetre) and saturated water content. 2) Unsaturated hydraulic conductivity measured in the field at tensions of -2 and -6 centimetre using a mini disk infiltrometer. 3) Unsaturated hydraulic conductivity measured using a HYPROP (registered trademark) instrument, an instrument which determines the hydraulic properties of soil samples, on soil cores taken from the field plots. 4) Soil water release curves for wet soil corresponding to the hydraulic conductivity measurements made using a HYPROP in the laboratory on cores from the field. 5) Soil water release curve data for dry soil measured using a WP4 potentiometer. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled and not available (NA's) have been added where there is no data. Data was collected between the end of 2010 and early 2012. Data sets 1, 3 and 4 were collected in April and September, 2011, data set 2 in May, 2012 and data set 5 in November, 2010. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data were collected to monitor site specific soil properties at a specific reference time. Full details about this dataset can be found at https://doi.org/10.5285/e75620c0-547a-4756-a617-daf6180974d9

Data are presented for daily rainfall, stream discharge and hydraulic conductivity of soils from catchments located in the Upper Nilgiris Reserve Forest in the state of Tamil Nadu. The catchments are dominated by four land cover types, shola, grassland, pine and wattle. The data were collected between May 2014 and December 2016. Tipping bucket wired rain gauges were used to measure rainfall. Stream discharge was measured from stilling wells and capacitance probe-based water level recorders. A mini-disk infiltrometer was used to measure the hydraulic conductivity of soils. Dry season data has not been included in this dataset as its focus is on extreme rain events. The data were collected as part of a series of eco-hydrology projects that explored the impact of land cover on rain-runoff response, carbon sequestration and nutrient and sediment discharge. The dataset presented here was collected by a team of three to five researchers and field assistants who were engaged in the installation of the data loggers and their regular operation and maintenance. Four research agencies have partnered across multiple projects to sustain the data collection efforts that started in June 2013 and continue (June 2020). These are the Foundation for Ecological Research, Advocacy and Learning - Pondicherry, the Ashoka Trust for Research in Ecology and the Environment - Bangalore, the Lancaster Environmental Centre, Lancaster University - UK, and the National Centre for Biological Sciences - Bangalore. Funding was provided by Ministry of Earth Sciences Government of India from the Changing Water Cycle programme (Grant Ref: MoES/NERC/16/02/10 PC-II) and the Hydrologic footprint of Invasive Alien Species project (MOES/PAMC/H&C/85/2016-PC-II). Additional funding was provided by UKRI Natural Environment Research Council grant NE/I022450/1 (Western Ghats-Capacity within the NERC Changing Water Cycle programme) and WWF-India as part of the Noyyal-Bhavani program.This research took place inside protected areas in the Nilgiri Division for which permissions and support were provided continually by the Tamil Nadu Forest Department, particularly the office of the District Forest Officer, Udhagamandalam. Full details about this dataset can be found at https://doi.org/10.5285/9257a999-2844-4be1-80d1-fd29e2ccf9ef